diff --git a/.gitignore b/.gitignore index f6d25fe..5324952 100644 --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,6 @@ data/ -benchmarks/data -benchmarks/models +benchmark/data +benchmark/models *.pkl # Byte-compiled / optimized / DLL files diff --git a/README.md b/README.md index 906b8dd..1942f41 100644 --- a/README.md +++ b/README.md @@ -29,13 +29,7 @@ pip install t2ebm # High-Level API: Pass the EBM to the LLM -```python -import t2ebm - -gpt4 = guidance.llms.OpenAI("gpt-4") -``` - -We have trained an ```ExplainableBoostingClassifier``` on the Kaggle [Spaceship Titanic Dataset](https://www.kaggle.com/competitions/spaceship-titanic/overview). This dataset is from 2022, so GPT-3.5 and GPT-4 have not seen it during training. +We have trained an ```ExplainableBoostingClassifier``` on the Kaggle [Spaceship Titanic Dataset](https://www.kaggle.com/competitions/spaceship-titanic/overview). ```python ebm = ExplainableBoostingClassifier(feature_names=feature_names) @@ -44,18 +38,26 @@ ebm.fit(X_train, y_train) Getting the LLM to describe a graph from the model is as simple as this. Let's describe the graph for feature 0, 'Home Planet'. ```python -graph_desc = t2ebm.llm_describe_ebm_graph(gpt4, ebm, 0) +import t2ebm + +graph_description = t2ebm.describe_graph('gpt-4-turbo-2024-04-09', ebm, 0) ``` -> **GPT-4:** *The feature "HomePlanet" significantly influences the model's outcome. Being -from "Europa" has the highest positive effect with a mean value of 0.87. The -"Mars" category also has a positive effect, albeit much smaller, with a mean -value of 0.098. On the contrary, being from "Earth" negatively impacts the -prediction, with a mean value of -0.439. The 95% confidence intervals suggest -that these effects are statistically significant and not due to random chance. -However, without additional context, it's difficult to determine why these -differences occur. Further investigation would be required for a deeper -understanding.* +> **GPT-4:** *The graph illustrates the effects of the categorical feature `HomePlanet` on a +dependent variable, as modeled by a Generalized Additive Model (GAM). The +feature `HomePlanet` includes three categories: "Earth," "Europa," and "Mars." +Passengers from Europa exhibit a notably high positive mean effect of 0.5678 on +the dependent variable, with a tight confidence interval ranging from 0.5116 to +0.624, suggesting a strong and consistent positive impact. In contrast, Earth +shows a negative mean effect of -0.3246 with the confidence interval from -0.354 +to -0.2952, indicating a robust negative association. Mars, while also positive, +has a much milder effect of 0.1713, with its confidence interval spanning from +0.1256 to 0.2171. This pronounced disparity in the effects, especially the +negative impact associated with Earth, is surprising and could hint at +underlying socio-economic or contextual factors influencing these outcomes. +Understanding these patterns might require further investigation into the +dataset's characteristics, including possible biases or the nature of the +dependent variable.* We can give the LLM more context by providing a description of the dataset and the outcome. This allows the LLM to talk about the spacetime anomaly. @@ -68,23 +70,31 @@ that the passenger was transported to another dimension.""" ```python -graph_desc = t2ebm.llm_describe_ebm_graph(gpt4, ebm, 0, - dataset_description=dataset_description, - y_axis_description=y_axis_description) -``` - -> **GPT-4:** *The HomePlanet feature has a significant influence on the probability of a -passenger being transported to an alternate dimension during the collision with -the spacetime anomaly. Passengers from Europa have the highest positive effect, -indicating a higher likelihood of being transported. On the other hand, -passengers from Earth have a negative effect, suggesting a lower likelihood of -being transported. Interestingly, passengers from Mars have a smaller positive -effect compared to Europa, but still higher than Earth. This suggests that the -planet of origin plays a role in determining the probability of being -transported, with passengers from Europa having the highest likelihood. However, -there may be confounding factors or interactions with other features that -contribute to the observed pattern, and further analysis is needed to fully -understand the influence of the HomePlanet feature on the outcome.* +graph_description = t2ebm.describe_graph('gpt-4-turbo-2024-04-09', + ebm, + 0, + graph_description=graph_description, + dataset_description=dataset_description) +``` + +> **GPT-4:** *The graph from the Generalized Additive Model (GAM) showcases the contributions +of different home planets—Earth, Europa, and Mars—towards the log-odds of +passengers being transported to another dimension on the Spaceship Titanic. +Passengers from Europa exhibit a strong positive contribution to the likelihood +of being transported, with a mean log-odds contribution of 0.5678, indicating a +higher propensity for these individuals to experience the anomalous event. +Conversely, Earth shows a negative contribution (-0.3246 mean log-odds), +suggesting that passengers from Earth are less likely to be transported compared +to the baseline. Mars, while also showing a positive contribution (0.1713 mean +log-odds), has a lesser effect than Europa, but still indicates an increased +likelihood over Earth. This pattern could suggest unique environmental, +technological, or cultural factors on Europa and Mars that influence their +inhabitants' interactions with the spacetime anomaly encountered during the +voyage. The observed negative contribution from Earth might hint at more +effective protective measures or less vulnerability to such spacetime +disturbances. These findings highlight planet-based differences in +susceptibility to extraordinary events, revealing insights into interplanetary +travel and safety in this futuristic scenario.* Instead of describing individual graphs, we can also ask the LLM to summarize the entire model. We can also ask for a summary in a given number of sentences. @@ -94,22 +104,40 @@ model_description = t2ebm.llm_describe_ebm(gpt4, ebm, y_axis_description=y_axis_description) ``` -> **GPT-4:** *Based on the global feature importances and the summaries of the individual -features, we can provide the following summary: The most important features in -the model are Spa, VRDeck, CryoSleep, and RoomService. Passengers who spent -more at the spa had a lower probability of being affected by the anomaly. Higher -spending on the VRDeck also decreased the likelihood of being transported, -although there was a surprising counterintuitive behavior within a specific -spending range. Choosing to be in cryosleep during the voyage increased the -probability of being affected by the anomaly, which was unexpected. Higher -spending on room service corresponded to a higher probability of being affected, -but extremely high spending was associated with a lower probability. Other -features had lower importances and may have less significant or less -straightforward effects on the outcome. In summary, Spa, VRDeck, CryoSleep, and -RoomService were the most important features. The unexpected findings, such as -the counterintuitive influence of cryosleep and the complex relationships -observed in features like RoomService and VRDeck, warrant further investigation -and analysis.* +> **GPT-4:** *The Generalized Additive Model (GAM) applied to the Spaceship Titanic dataset +has uncovered significant relationships between passenger features and the +likelihood of being transported to an alternate dimension during a spacetime +anomaly. Here's a condensed summary of the key findings: 1. **CryoSleep** +(Feature Importance: 0.56): - Passengers in CryoSleep are significantly more +likely to be transported (mean effect = 0.814) compared to those not in +CryoSleep (mean effect = -0.447). This suggests unique interactions between the +CryoSleep technology and the anomaly. 2. **Spa** (Feature Importance: 0.72): +- There is a strong negative correlation between spa spending and the likelihood +of transportation, with a steep decline in likelihood as expenditures increase. +This counterintuitive pattern points to complex, non-linear effects of luxury +expenditures on outcomes. 3. **VRDeck** (Feature Importance: 0.63): - Higher +spending on the VRDeck is associated with a lower likelihood of being +transported, with an increasing negative effect as expenditure rises. 4. +**RoomService** (Feature Importance: 0.48): - Minimal initial spending on +room service slightly increases the likelihood of being transported, but as +spending rises, the effect becomes negatively pronounced. This indicates complex +interactions influenced by passenger behavior or security measures. 5. +**HomePlanet** (Feature: 0.35): - Europa passengers are notably more likely +to be transported (mean = 0.5678) compared to those from Earth (mean = -0.3246) +and Mars (mean = 0.1713), suggesting differences in technology or emergency +responses among the planets. 6. **Cabin** (Feature: 0.39): - Cabin location +significantly affects transportation likelihood, with notable disparities +between cabin sides (Port vs. Starboard) on the same deck, indicating uneven +exposure to the anomaly or structural differences in the ship. Surprising +Patterns: - **Age**: There's a non-linear relationship with age, where both very +young and older seniors show higher transportation probabilities, highlighting +age-specific dynamics in anomaly interaction. - **Destination**: Passengers to +"55 Cancri e" have a higher transportation likelihood compared to other +destinations, indicating unique risks associated with this route. This GAM +analysis provides crucial insights into the dynamics of spacetime anomalies in +interstellar travel, emphasizing the importance of considering complex and non- +linear interactions between features and outcomes for safety and operational +strategies.* # Low-Level API: Extract Graphs from the EBM and perform custom prompts @@ -163,21 +191,41 @@ print(graph_as_text) Given the textual representation of the graph, you can start to write your own prompts. Usually, the first prompt will ask the LLM to describe the graph. We use [guidance](https://github.com/microsoft/guidance) in order to handle sequential execution and chain-of-thought prompting. ```python -prompt = t2ebm.prompts.describe_graph(graph_as_text, - expert_description="{some kind of expert that will help me.}", - y_axis_description="{The y-axis on the graph depicts how cool the graph is.}", - special_task_description="{Pay special attention to run 'pip install t2ebm'}", - dataset_description="{My dataset is great!}", - include_assistant_response=True) +t2ebm.prompts.describe_graph(graph_as_text, + graph_description="{The y-axis on the graph depicts how cool the graph is.}", + dataset_description="{The dataset is great!}", + task_description="{Please summarize the graph. Pay special attention to run 'pip install t2ebm'}",) +``` -# our prompts use guidance, and this is a nice way to print them -guidance(prompt, llm=gpt4) ``` +Below is the graph of a Generalized Additive Model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take. + +The graph is provided in the following format: + - The name of the feature depicted in the graph + - The type of the feature (continuous, categorical, or boolean) + - Mean values + - Lower bounds of confidence interval (optional) + - Upper bounds of confidence interval (optional) -

- drawing - drawing -

+Here is the graph: + +This graph represents categorical feature. Each key represents a possible value that the feature can take. + +Feature Name: HomePlanet +Feature Type: categorical +Means: {"Earth": -0.3246, "Europa": 0.5678, "Mars": 0.1713} +Lower Bounds (95%-Confidence Interval): {"Earth": -0.354, "Europa": 0.5116, "Mars": 0.1256} +Upper Bounds (95%-Confidence Interval): {"Earth": -0.2952, "Europa": 0.624, "Mars": 0.2171} + + +{The y-axis on the graph depicts how cool the graph is.} + +Here is a description of the dataset that the model was trained on: + +{The dataset is great!} + +{Please summarize the graph. Pay special attention to run 'pip install t2ebm'} +``` # Citation diff --git a/benchmarks/benchmark/function-recognition-hard.json b/benchmark/benchmark/function-recognition-hard.json similarity index 100% rename from benchmarks/benchmark/function-recognition-hard.json rename to benchmark/benchmark/function-recognition-hard.json diff --git a/benchmarks/benchmark/function-recognition.json b/benchmark/benchmark/function-recognition.json similarity index 100% rename from benchmarks/benchmark/function-recognition.json rename to benchmark/benchmark/function-recognition.json diff --git a/benchmarks/benchmark/jumps.json b/benchmark/benchmark/jumps.json similarity index 100% rename from benchmarks/benchmark/jumps.json rename to benchmark/benchmark/jumps.json diff --git a/benchmarks/benchmark/monotonicity.json b/benchmark/benchmark/monotonicity.json similarity index 100% rename from benchmarks/benchmark/monotonicity.json rename to benchmark/benchmark/monotonicity.json diff --git a/benchmarks/benchmark/read-value.json b/benchmark/benchmark/read-value.json similarity index 100% rename from benchmarks/benchmark/read-value.json rename to benchmark/benchmark/read-value.json diff --git a/benchmarks/benchmark/wide-confidence.json b/benchmark/benchmark/wide-confidence.json similarity index 100% rename from benchmarks/benchmark/wide-confidence.json rename to benchmark/benchmark/wide-confidence.json diff --git a/benchmarks/benchmark_utils.py b/benchmark/benchmark_utils.py similarity index 100% rename from benchmarks/benchmark_utils.py rename to benchmark/benchmark_utils.py diff --git a/benchmark/notebooks/confidence.ipynb b/benchmark/notebooks/confidence.ipynb new file mode 100644 index 0000000..c34fb2c --- /dev/null +++ b/benchmark/notebooks/confidence.ipynb @@ -0,0 +1,2095 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Wide Confidence Interval Benchmark" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# add parent directory to path\n", + "import sys\n", + "sys.path.append('..')\n", + "\n", + "import copy\n", + "import random\n", + "import numpy as np\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import t2ebm\n", + "from t2ebm import graphs\n", + "from t2ebm import prompts" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Create the benchmark" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/sebastian/Documents/GitHub/TalkToEBM/t2ebm/graphs.py:318: SyntaxWarning: invalid escape sequence '\\%'\n", + " \" a simplification level of 10\\%. This graph is too complex to\"\n" + ] + } + ], + "source": [ + "# load graphs (pickle)\n", + "import pickle\n", + "\n", + "with open(\"all_graphs.pkl\", \"rb\") as f:\n", + " all_graphs = pickle.load(f)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def widest_confidence_interval(graph):\n", + " \"\"\"returns the position and the size of the largest jump in the graph\"\"\"\n", + " idx = np.argmax(graph.stds)\n", + " return graph.x_vals[idx]" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "questions = []\n", + "for graph, graph_as_text in all_graphs:\n", + " # only continuous graphs\n", + " if graph.feature_type != \"continuous\":\n", + " continue\n", + " question = \"\"\"Below is the graph of a generalized additive model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take.\n", + " \n", + " The graph is provided in the following format:\n", + " - The name of the feature depicted in the graph\n", + " - The type of the feature (continuous, categorical, or boolean)\n", + " - Mean values\n", + " - Lower bounds of confidence interval (optional)\n", + " - Upper bounds of confidence interval (optional)\\n\\n\"\"\"\n", + " question += f\"Here is the graph:\\n\\n{graph_as_text}\\n\"\n", + " question += \"\"\"Every interval in the graph comes with a lower and and an upper confidence bound.\n", + "\n", + "We are now looking for the interval in the graph that has the widest confidence bound. \n", + "\n", + "What is the x-axis interval that has the widest confidence bound? Think step by step.\"\"\"\n", + " graph_ = graphs.text_to_graph(graph_as_text)\n", + " pos = widest_confidence_interval(graph_)\n", + " questions.append((question, str(pos)))" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "# subset 100 random questions\n", + "random.shuffle(questions)\n", + "questions = questions[:100]" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Below is the graph of a generalized additive model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take.\n", + " \n", + " The graph is provided in the following format:\n", + " - The name of the feature depicted in the graph\n", + " - The type of the feature (continuous, categorical, or boolean)\n", + " - Mean values\n", + " - Lower bounds of confidence interval (optional)\n", + " - Upper bounds of confidence interval (optional)\n", + "\n", + "Here is the graph:\n", + "\n", + "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", + "\n", + "Feature Name: smoothness_mean\n", + "Feature Type: continuous\n", + "Means: {\"(0.05263, 0.0706)\": -0.835, \"(0.0706, 0.07455500000000001)\": -0.769, \"(0.07455500000000001, 0.07589499999999999)\": -0.697, \"(0.07589499999999999, 0.07727500000000001)\": -0.632, \"(0.07727500000000001, 0.078275)\": -0.569, \"(0.078275, 0.07952000000000001)\": -0.506, \"(0.07952000000000001, 0.080315)\": -0.437, \"(0.080315, 0.081035)\": -0.368, \"(0.081035, 0.08308499999999999)\": -0.304, \"(0.08308499999999999, 0.085165)\": -0.242, \"(0.085165, 0.086795)\": -0.177, \"(0.086795, 0.087785)\": -0.111, \"(0.087785, 0.088615)\": -0.047, \"(0.088615, 0.08918999999999999)\": 0.065, \"(0.08918999999999999, 0.090335)\": 0.142, \"(0.090335, 0.09454)\": 0.211, \"(0.09454, 0.11525)\": 0.107, \"(0.11525, 0.11765)\": 0.171, \"(0.11765, 0.12455)\": 0.267, \"(0.12455, 0.13845000000000002)\": 0.334, \"(0.13845000000000002, 0.1634)\": 0.396}\n", + "Lower Bounds (95%-Confidence Interval): {\"(0.05263, 0.0706)\": -1.454, \"(0.0706, 0.07455500000000001)\": -1.359, \"(0.07455500000000001, 0.07589499999999999)\": -1.244, \"(0.07589499999999999, 0.07727500000000001)\": -1.162, \"(0.07727500000000001, 0.078275)\": -1.087, \"(0.078275, 0.07952000000000001)\": -1.006, \"(0.07952000000000001, 0.080315)\": -0.882, \"(0.080315, 0.081035)\": -0.622, \"(0.081035, 0.08308499999999999)\": -0.547, \"(0.08308499999999999, 0.085165)\": -0.444, \"(0.085165, 0.086795)\": -0.357, \"(0.086795, 0.087785)\": -0.296, \"(0.087785, 0.088615)\": -0.23, \"(0.088615, 0.08918999999999999)\": -0.16, \"(0.08918999999999999, 0.090335)\": -0.309, \"(0.090335, 0.09454)\": -0.264, \"(0.09454, 0.11525)\": -0.005, \"(0.11525, 0.11765)\": 0.07, \"(0.11765, 0.12455)\": 0.022, \"(0.12455, 0.13845000000000002)\": 0.077, \"(0.13845000000000002, 0.1634)\": 0.127}\n", + "Upper Bounds (95%-Confidence Interval): {\"(0.05263, 0.0706)\": -0.216, \"(0.0706, 0.07455500000000001)\": -0.178, \"(0.07455500000000001, 0.07589499999999999)\": -0.151, \"(0.07589499999999999, 0.07727500000000001)\": -0.102, \"(0.07727500000000001, 0.078275)\": -0.052, \"(0.078275, 0.07952000000000001)\": -0.006, \"(0.07952000000000001, 0.080315)\": 0.008, \"(0.080315, 0.081035)\": -0.113, \"(0.081035, 0.08308499999999999)\": -0.062, \"(0.08308499999999999, 0.085165)\": -0.04, \"(0.085165, 0.086795)\": 0.004, \"(0.086795, 0.087785)\": 0.075, \"(0.087785, 0.088615)\": 0.136, \"(0.088615, 0.08918999999999999)\": 0.291, \"(0.08918999999999999, 0.090335)\": 0.594, \"(0.090335, 0.09454)\": 0.685, \"(0.09454, 0.11525)\": 0.22, \"(0.11525, 0.11765)\": 0.273, \"(0.11765, 0.12455)\": 0.512, \"(0.12455, 0.13845000000000002)\": 0.591, \"(0.13845000000000002, 0.1634)\": 0.664}\n", + "\n", + "Every interval in the graph comes with a lower and and an upper confidence bound.\n", + "\n", + "We are now looking for the interval in the graph that has the widest confidence bound. \n", + "\n", + "What is the x-axis interval that has the widest confidence bound? Think step by step.\n", + "SOLUTION: (0.05263, 0.0706)\n" + ] + } + ], + "source": [ + "# print a random question\n", + "import random\n", + "random.shuffle(questions)\n", + "print(questions[0][0])\n", + "print('SOLUTION: ', questions[0][1])" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "# save the questions to json\n", + "import json\n", + "with open(\"../benchmark/wide-confidence.json\", \"w\") as f:\n", + " json.dump(questions, f, indent=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Run the benchmark" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "100" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# load the json file\n", + "with open(\"../benchmark/wide-confidence.json\", \"r\") as f:\n", + " questions = json.load(f)\n", + "len(questions)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is (0.17825, 0.19574999999999998).\n", + "SOLUTION: (0.17825, 0.19574999999999998)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(5.45, 5.55)\" with a width of 1.007.\n", + "SOLUTION: (5.45, 5.55)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(1.0, 1.5)\".\n", + "SOLUTION: (1.0, 1.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(38.5, 48.5)\" with a width of 57155.6.\n", + "SOLUTION: (38.5, 48.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval with the widest confidence bound is \"(387.6646, 512.3292)\".\n", + "SOLUTION: (0.0, 6.325)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval with the widest confidence bound in the graph is \"(0.002252, 0.0046765)\" with a width of 0.4377.\n", + "SOLUTION: (0.01089, 0.011715)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound in the graph is \"(0.1115, 0.15015)\" with a width of 0.942.\n", + "SOLUTION: (1.2915, 2.873)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is (1248.5, 1341.0).\n", + "SOLUTION: (606.0, 696.25)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(526.5, 680.0)\".\n", + "SOLUTION: (45.5, 48.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(3.5, 4.0)\".\n", + "SOLUTION: (3.5, 4.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound in the graph is \"(0.03164, 0.035445000000000004)\" with a width of 0.9106.\n", + "SOLUTION: (0.07482, 0.0785)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(20.8, 21.285)\" with a width of 1.12.\n", + "SOLUTION: (21.285, 33.81)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(0.007882, 0.010595)\" with a confidence interval width of 0.87.\n", + "SOLUTION: (0.007882, 0.010595)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound in the provided data is \"(23.240000000000002, 28.11)\".\n", + "SOLUTION: (23.240000000000002, 28.11)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound in the graph is \"(178.85, 251.2)\".\n", + "SOLUTION: (178.85, 251.2)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound in the graph is \"(15.00005, 15.0001)\".\n", + "SOLUTION: (0.4999, 0.5427500000000001)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(114.5, 118.5)\".\n", + "SOLUTION: (114.5, 118.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(0.0, 0.5)\" with a width of 0.067041.\n", + "SOLUTION: (0.0, 0.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound in the graph is \"(911540.5, 917896.5)\".\n", + "SOLUTION: (853506.5, 859643.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound in the graph is \"(0.0, 0.002395)\" with a width of 0.3114.\n", + "SOLUTION: (0.0088595, 0.009246)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound in the graph is \"(0.1565, 0.165)\" with a width of 1.088.\n", + "SOLUTION: (0.1565, 0.165)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(48.349999999999994, 67.1)\".\n", + "SOLUTION: (25.55, 26.35)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is (253.0, 285.0).\n", + "SOLUTION: (15.5, 18.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(75.0, 80.0)\" with a width of 4.76.\n", + "SOLUTION: (75.0, 80.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(0.45, 0.75)\" with a width of 6.2.\n", + "SOLUTION: (0.45, 0.75)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(11.5, 13.5)\".\n", + "SOLUTION: (11.5, 13.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(50.5, 51.5)\".\n", + "SOLUTION: (1.0, 4.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(0.5, 1.0)\".\n", + "SOLUTION: (0.5, 1.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(35.05, 49.54)\" with a width of 2.875.\n", + "SOLUTION: (12.02, 16.935000000000002)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound in the graph is \"(2038.5, 2307.5)\" with a width of 5.47.\n", + "SOLUTION: (85.0, 87.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(0.5, 1.5)\" with a width of 1.761.\n", + "SOLUTION: (3.5, 4.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is (0.10569999999999999, 0.1074).\n", + "SOLUTION: (0.10569999999999999, 0.1074)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(0.0, 0.5)\".\n", + "SOLUTION: (0.0, 0.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval with the widest confidence bound is \"(153.25, 542.2)\".\n", + "SOLUTION: (20.905, 32.985)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(10.5, 13.5)\".\n", + "SOLUTION: (10.5, 13.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(3.5, 4.5)\".\n", + "SOLUTION: (3.5, 4.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(206951.87, 216109.88)\" with a width of 1.212.\n", + "SOLUTION: (53570.93, 54249.445)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval with the widest confidence bound in the graph is \"(3249.5, 14327.0)\" with a width of 1.305 (3.043 - (-5.248)).\n", + "SOLUTION: (2313.5, 2336.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(1979.0, 4254.0)\" with a width of 2.972.\n", + "SOLUTION: (1979.0, 4254.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(350.0, 416.5)\" with a width of 1.4291.\n", + "SOLUTION: (350.0, 416.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(2.0, 4.5)\" with a width of 50049.7.\n", + "SOLUTION: (8.5, 9.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval with the widest confidence bound in the graph is \"(1.275, 1.3925)\" with a width of 1.321.\n", + "SOLUTION: (1.451, 1.837)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval with the widest confidence bound is \"(40.665, 41.775000000000006)\".\n", + "SOLUTION: (34.715, 35.325)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is \"(12.5, 13.5)\".\n", + "SOLUTION: (12.5, 13.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound is (1.0, 1.5).\n", + "SOLUTION: (1.0, 1.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: The x-axis interval that has the widest confidence bound in the graph is \"(70654.5, 99999.0)\".\n", + "SOLUTION: (30961.5, 70654.5)\n", + "--------------------------------------------------------------------------------\n" + ] + } + ], + "source": [ + "system_msg = \"You are an expert statistician and data scientist. You interpret global explanations produced by a generalized additive model (GAM). You answer all questions to the best of your ability, combining the data contained in the graph, any data set description you are given, and your knowledge about the real world.\"\n", + "for question in questions[54:]:\n", + " messages = [{\"role\": \"system\", \"content\": system_msg}, {\"role\": \"user\", \"content\": question[0]}]\n", + " response = t2ebm.utils.openai_completion_query('gpt-3.5-turbo-0125', messages, temperature=0.0)\n", + " messages.append({\"role\": \"assistant\", \"content\": response})\n", + " messages.append({\"role\": \"user\", \"content\": \"Thanks. Now summarize your response by answering again with the interval.\"})\n", + " response = t2ebm.utils.openai_completion_query('gpt-3.5-turbo-0125', messages, temperature=0.0)\n", + " print('LLM RESPONSE: ', response)\n", + " print('SOLUTION: ', question[1])\n", + " print('-'*80)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### gemini" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** \n", + " - For each interval, subtract the lower bound from the upper bound. \n", + " - For example, for the interval (0.05263, 0.0706): -0.216 - (-1.454) = 1.238\n", + "\n", + "2. **Compare the widths:**\n", + " - Go through all the calculated widths and find the largest one.\n", + "\n", + "3. **Identify the corresponding interval:**\n", + " - The interval associated with the largest width is the interval with the widest confidence bound.\n", + "\n", + "Let's calculate for the first few intervals:\n", + "\n", + "- (0.05263, 0.0706): -0.216 - (-1.454) = **1.238**\n", + "- (0.0706, 0.07455500000000001): -0.178 - (-1.359) = **1.181**\n", + "- (0.07455500000000001, 0.07589499999999999): -0.151 - (-1.244) = **1.093** \n", + "- ... and so on\n", + "\n", + "You would need to continue this calculation for all intervals. The interval with the largest difference between its upper and lower bound is the interval with the widest confidence bound. \n", + "\n", + "SOLUTION: (0.05263, 0.0706)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** \n", + " - For each interval, subtract the lower bound from the upper bound. \n", + " - For example, for the interval \"(0.0, 130.5)\": 0.682 - 0.36 = 0.322\n", + "\n", + "2. **Compare the widths:**\n", + " - Go through all the calculated widths and find the largest one.\n", + "\n", + "Let's calculate the widths for a few intervals:\n", + "\n", + "* **(0.0, 130.5):** 0.682 - 0.36 = **0.322**\n", + "* **(130.5, 278.5):** 1.834 - (-1.599) = **3.433**\n", + "* **(278.5, 452.5):** 0.791 - (-1.362) = **2.153** \n", + "* ... (continue for all intervals)\n", + "\n", + "After calculating the width of the confidence interval for each interval, we find that the largest width is **3.433** which corresponds to the interval **(130.5, 278.5)**.\n", + "\n", + "**Therefore, the x-axis interval with the widest confidence bound is (130.5, 278.5).** \n", + "\n", + "SOLUTION: (3705.5, 3747.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** We need to find the difference between the upper and lower bounds for each interval.\n", + "\n", + " * (0.0, 0.5): 0.418 - (-0.318) = 0.736\n", + " * (0.5, 1.5): 1.428 - 0.02 = 1.408 \n", + " * (1.5, 2.5): 0.629 - 0.545 = 0.084\n", + " * (2.5, 3.5): -0.106 - (-0.336) = 0.23 \n", + " * (3.5, 4.5): -0.585 - (-0.676) = 0.091\n", + " * (4.5, 5.5): -0.403 - (-0.688) = 0.285\n", + " * (5.5, 6.0): 0.291 - 0.067 = 0.224\n", + "\n", + "2. **Identify the largest width:** The largest difference (and therefore the widest confidence interval) is 1.408.\n", + "\n", + "3. **Determine the corresponding interval:** This width corresponds to the interval **(0.5, 1.5)**.\n", + "\n", + "**Therefore, the x-axis interval with the widest confidence bound is (0.5, 1.5).** \n", + "\n", + "SOLUTION: (0.5, 1.5)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (199505.41, 199992.48)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (13.5, 15.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** \n", + " - For each interval, subtract the lower bound from the upper bound.\n", + "\n", + " | Interval | Upper Bound | Lower Bound | Difference (Width) |\n", + " |--------------|-------------|-------------|--------------------|\n", + " | (0.0, 0.5) | -0.6918 | -1.0291 | 0.3373 |\n", + " | (0.5, 1.5) | 0.1111 | -0.1456 | 0.2567 |\n", + " | (1.5, 2.5) | -0.1879 | -0.3118 | 0.1239 |\n", + " | (2.5, 3.5) | -0.1496 | -0.4557 | 0.3061 |\n", + " | (3.5, 4.0) | 0.048 | 0.0349 | 0.0131 |\n", + "\n", + "2. **Identify the largest width:**\n", + "\n", + " - The largest difference (confidence interval width) is 0.3373.\n", + "\n", + "3. **Determine the corresponding interval:**\n", + "\n", + " - The interval with the widest confidence bound (0.3373) is **(0.0, 0.5)**. \n", + "\n", + "Therefore, the x-axis interval with the widest confidence bound is **(0.0, 0.5)**. \n", + "\n", + "SOLUTION: (0.0, 0.5)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (77.5, 99.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** For each interval, subtract the lower bound from the upper bound. \n", + "\n", + " Example:\n", + " * Interval (0.0, 1.5): -0.02235 - (-0.02604) = 0.00369\n", + "\n", + "2. **Compare the widths:** Go through the calculated widths and identify the largest one.\n", + "\n", + "Let's calculate the widths for all intervals:\n", + "\n", + "* (0.0, 1.5): 0.00369\n", + "* (1.5, 2.5): 0.00130\n", + "* (2.5, 3.5): 0.00070\n", + "* (3.5, 4.5): 0.00075\n", + "* (4.5, 5.5): 0.00058\n", + "* (5.5, 6.5): 0.00093\n", + "* (6.5, 8.5): 0.00101\n", + "* (8.5, 10.5): 0.00213\n", + "* (10.5, 11.5): 0.00486\n", + "* (11.5, 13.5): 0.00617\n", + "* (13.5, 14.5): 0.00947\n", + "* **(14.5, 16.0): 0.02410** \n", + "\n", + "The interval **(14.5, 16.0)** has the widest confidence bound with a width of 0.02410. \n", + "\n", + "SOLUTION: (14.5, 16.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (12.5, 15.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** \n", + " - For each interval, subtract the lower bound from the upper bound.\n", + "\n", + " | Interval | Upper Bound | Lower Bound | Difference (Width) |\n", + " |--------------|-------------|-------------|--------------------|\n", + " | (0.0, 0.5) | 0.568 | 0.453 | 0.115 |\n", + " | (0.5, 1.5) | -0.188 | -0.278 | 0.090 |\n", + " | (1.5, 2.5) | -0.543 | -0.789 | 0.246 |\n", + " | (2.5, 3.5) | -0.921 | -1.092 | 0.171 |\n", + " | (3.5, 4.5) | -0.458 | -0.6 | 0.142 |\n", + " | (4.5, 5.0) | 1.842 | 1.664 | 0.178 |\n", + "\n", + "2. **Identify the largest width:**\n", + " - The largest difference (width) is 0.246, which corresponds to the interval **(1.5, 2.5)**.\n", + "\n", + "Therefore, the x-axis interval with the widest confidence bound is **(1.5, 2.5)**. \n", + "\n", + "SOLUTION: (1.5, 2.5)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (17.0, 18.5)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (0.042455, 0.048235)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (14.5, 25.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to determine the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of the confidence intervals:**\n", + " - For the interval \"(0.0, 0.5)\": 0.11675 - (-0.08236) = 0.19911\n", + " - For the interval \"(0.5, 1.0)\": 0.04573 - (-0.06482) = 0.11055\n", + "\n", + "2. **Compare the widths:**\n", + " - The confidence interval for the interval \"(0.0, 0.5)\" has a width of 0.19911.\n", + " - The confidence interval for the interval \"(0.5, 1.0)\" has a width of 0.11055.\n", + "\n", + "3. **Identify the largest width:**\n", + " - The interval \"(0.0, 0.5)\" has the widest confidence bound. \n", + "\n", + "**Therefore, the x-axis interval with the widest confidence bound is (0.0, 0.5).** \n", + "\n", + "SOLUTION: (0.0, 0.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** \n", + " - For each interval, subtract the lower bound from the upper bound. \n", + "\n", + " | Interval | Upper Bound | Lower Bound | Width |\n", + " |---|---|---|---|\n", + " | (0.0, 0.5) | 0.074 | -0.099 | 0.173 |\n", + " | (0.5, 1.5) | 0.549 | 0.319 | 0.230 |\n", + " | (1.5, 4.5) | 0.059 | -0.192 | 0.251 |\n", + " | (4.5, 5.5) | 0.228 | 0.106 | 0.122 |\n", + " | (5.5, 7.5) | -0.362 | -0.567 | 0.205 |\n", + " | (7.5, 8.0) | -1.042 | -4.038 | 2.996 |\n", + "\n", + "2. **Identify the interval with the largest width:**\n", + "\n", + " - The interval **(7.5, 8.0)** has the widest confidence bound with a width of 2.996. \n", + "\n", + "**Therefore, the x-axis interval that has the widest confidence bound is (7.5, 8.0).** \n", + "\n", + "SOLUTION: (7.5, 8.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (11.5, 17.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:**\n", + " - For interval (0.0, 0.5): 0.0198 - (-0.1303) = 0.1501\n", + " - For interval (0.5, 2.5): 0.5976 - (-0.2711) = 0.8687\n", + " - For interval (2.5, 3.0): 0.9748 - (-2.435) = 3.4098 \n", + "\n", + "2. **Compare the widths:**\n", + " - The confidence interval for the interval (2.5, 3.0) has the largest width of 3.4098.\n", + "\n", + "**Therefore, the x-axis interval with the widest confidence bound is (2.5, 3.0).** \n", + "\n", + "SOLUTION: (2.5, 3.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (8.5, 9.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** For each interval, subtract the lower bound from the upper bound. \n", + "\n", + " For example, for the interval (15565796.0, 15566519.0):\n", + " * Upper Bound: -0.3742\n", + " * Lower Bound: -1.3796\n", + " * Width: -0.3742 - (-1.3796) = 1.0054\n", + "\n", + "2. **Compare the widths:** Go through all calculated widths and find the largest one.\n", + "\n", + "3. **Identify the interval:** The interval corresponding to the largest width is the interval with the widest confidence bound.\n", + "\n", + "Let's calculate the widths for the first few intervals:\n", + "\n", + "* **(15565796.0, 15566519.0):** 1.0054 \n", + "* **(15566519.0, 15567333.5):** 1.1916\n", + "* **(15567333.5, 15567844.5):** 1.1294 \n", + "\n", + "... (Continue calculating for the remaining intervals)\n", + "\n", + "After calculating all the widths, you'll find that the largest width corresponds to the interval **(15566519.0, 15567333.5)**. \n", + "\n", + "SOLUTION: (15566519.0, 15567333.5)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (13.5, 15.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (13.5, 15.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (77.5, 79.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:**\n", + " - (0.0, 0.5): 0.19 - (-0.02) = 0.21\n", + " - (0.5, 1.5): 0.158 - (-0.269) = 0.427\n", + " - (1.5, 3.0): 0.022 - (-0.62) = 0.642\n", + " - (3.0, 4.0): -0.395 - (-3.014) = 2.619\n", + "\n", + "2. **Compare the widths:** \n", + " - We can see that the interval (3.0, 4.0) has the widest confidence bound with a width of 2.619.\n", + "\n", + "**Therefore, the x-axis interval with the widest confidence bound is (3.0, 4.0).** \n", + "\n", + "SOLUTION: (3.0, 4.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** \n", + " - For each interval, subtract the lower bound from the upper bound. \n", + " - For example, for the interval \"(2.0, 4.5)\": 22383.8 - (-43650.4) = 66034.2\n", + "\n", + "2. **Compare the widths:**\n", + " - Go through all the calculated widths and find the largest one.\n", + "\n", + "3. **Identify the interval:**\n", + " - The interval corresponding to the largest width is the interval with the widest confidence bound.\n", + "\n", + "**Let's calculate for a few intervals:**\n", + "\n", + "* **(2.0, 4.5):** 22383.8 - (-43650.4) = 66034.2\n", + "* **(4.5, 9.5):** 14987.3 - (-54645.6) = 69632.9\n", + "* **(9.5, 12.5):** -13782.5 - (-52929.5) = 39147 \n", + "\n", + "... (Continue this calculation for all intervals)\n", + "\n", + "After calculating the width for all intervals, you'll find that the interval **(4.5, 9.5)** has the widest confidence bound. \n", + "\n", + "SOLUTION: (4.5, 9.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** For each interval, subtract the lower bound from the upper bound. \n", + "\n", + "2. **Compare the widths:** Identify the interval with the largest difference between its upper and lower bounds.\n", + "\n", + "Let's do the calculations:\n", + "\n", + "```\n", + "Interval | Upper Bound | Lower Bound | Difference (Width)\n", + "--------------------------|-------------|-------------|-------------------\n", + "(0.0, 0.005855) | -0.612 | -1.183 | 0.571 \n", + "(0.005855, 0.011885) | -0.559 | -1.062 | 0.503\n", + "(0.011885, 0.016545) | -0.477 | -0.961 | 0.484\n", + "... | ... | ... | ...\n", + "(0.145349..., 0.1525) | 0.898 | 0.264 | 0.634\n", + "(0.1525, 0.1686) | 0.984 | 0.346 | 0.638 \n", + "(0.1686, 0.2428...) | 1.063 | 0.435 | 0.628\n", + "... | ... | ... | ...\n", + "(0.326999..., 0.4268) | 0.752 | 0.208 | 0.544\n", + "```\n", + "\n", + "After calculating the difference for all intervals, we find that the interval **(0.1525, 0.1686)** has the widest confidence bound with a width of **0.638**. \n", + "\n", + "SOLUTION: (0.1525, 0.1686)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (13.5, 15.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (0.26865, 0.291)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:**\n", + " - Interval (1.0, 1.5): 0.035 - (-0.053) = 0.088\n", + " - Interval (1.5, 2.5): 0.893 - 0.174 = 0.719\n", + " - Interval (2.5, 3.0): -0.052 - (-1.011) = 0.959\n", + "\n", + "2. **Compare the widths:**\n", + " - The confidence interval for the interval **(2.5, 3.0)** is the widest (0.959).\n", + "\n", + "**Therefore, the x-axis interval with the widest confidence bound is (2.5, 3.0).** \n", + "\n", + "SOLUTION: (2.5, 3.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to determine the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of the confidence intervals:**\n", + " - For the interval \"(0.0, 0.5)\": 0.4643 - 0.1807 = 0.2836\n", + " - For the interval \"(0.5, 1.0)\": -0.2325 - (-0.5976) = 0.3651\n", + "\n", + "2. **Compare the widths:**\n", + " - The confidence interval for the interval \"(0.5, 1.0)\" is wider (0.3651) than the confidence interval for \"(0.0, 0.5)\" (0.2836).\n", + "\n", + "**Answer:** The x-axis interval with the widest confidence bound is **(0.5, 1.0)**. \n", + "\n", + "SOLUTION: (0.5, 1.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (13.5, 14.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (15.0, 16.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (41.5, 43.5)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** For each interval, subtract the lower bound from the upper bound. \n", + "\n", + "2. **Compare the widths:** Identify the interval with the largest difference between its upper and lower bounds.\n", + "\n", + "Let's do this for the first few intervals as an example:\n", + "\n", + "* **Interval (0.001713, 0.0031539999999999997):** 1.4555 - (-0.864) = 2.3195\n", + "* **Interval (0.0031539999999999997, 0.003299):** 1.442 - (-0.919) = 2.361\n", + "* **Interval (0.003299, 0.003384):** 1.3896 - (-1.0196) = 2.4092 \n", + "\n", + "... (Continue this calculation for all intervals)\n", + "\n", + "After calculating the width of the confidence interval for each interval, you'll find that the interval **(0.00682, 0.007338)** has the widest confidence bound with a width of 0.8053. \n", + "\n", + "SOLUTION: (0.003299, 0.003384)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (6.199999999999999, 6.55)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (13.5, 14.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** \n", + " - For each interval, subtract the lower bound from the upper bound. \n", + " - For example, for the interval \"(0.7714, 1.0579999999999998)\": \n", + " - Width = -0.265 - (-1.131) = 0.866\n", + "\n", + "2. **Compare the widths:**\n", + " - Go through all calculated widths and find the largest one.\n", + "\n", + "3. **Identify the interval:**\n", + " - The interval corresponding to the largest width is the interval with the widest confidence bound.\n", + "\n", + "Let's calculate the widths for the first few intervals:\n", + "\n", + "* **(0.7714, 1.0579999999999998):** -0.265 - (-1.131) = **0.866**\n", + "* **(1.0579999999999998, 1.1345):** -0.208 - (-1.029) = **0.821**\n", + "* **(1.1345, 1.197):** -0.155 - (-0.923) = **0.768** \n", + "\n", + "... (Continue this calculation for all intervals)\n", + "\n", + "After calculating the widths for all intervals, you'll find that the interval **(4.714, 4.885999999999999)** has the widest confidence bound:\n", + "\n", + "* **(4.714, 4.885999999999999):** 0.655 - (-0.063) = **0.718** \n", + " \n", + "**Therefore, the x-axis interval with the widest confidence bound is (4.714, 4.885999999999999).** \n", + "\n", + "SOLUTION: (10.594999999999999, 21.98)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (76.5, 81.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (12.5, 13.5)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (13.5, 14.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** For each interval, subtract the lower bound from the upper bound. \n", + "\n", + "2. **Compare the widths:** Identify the interval with the largest difference between its upper and lower bounds.\n", + "\n", + "Let's do the calculations:\n", + "\n", + "* **(0.3602, 0.47535000000000005):** 0.1358 - (-0.4063) = 0.5421\n", + "* **(0.47535000000000005, 0.49585):** 0.0627 - (-0.2824) = 0.3451\n", + "* **(0.49585, 0.5344):** 0.0665 - (-0.2408) = 0.3073\n", + "* **(0.5344, 0.55835):** 0.0849 - (-0.2114) = 0.2963\n", + "* ... (continue for all intervals)\n", + "* **(2.0999999999999996, 2.2295):** 0.4421 - (-0.5019) = **0.944** \n", + "* ... (continue for all intervals)\n", + "\n", + "The interval **(2.0999999999999996, 2.2295)** has the widest confidence bound with a width of **0.944**. \n", + "\n", + "SOLUTION: (2.0999999999999996, 2.2295)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (0.41025, 1.252)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (14.5, 17.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (12.5, 14.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (74.5, 81.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (14.0, 15.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to determine the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of the confidence intervals:**\n", + " - For the interval \"(0.0, 0.5)\": (-0.518) - (-0.593) = 0.075\n", + " - For the interval \"(0.5, 1.0)\": 0.606 - 0.529 = 0.077\n", + "\n", + "2. **Compare the widths:**\n", + " - The confidence interval for the interval \"(0.5, 1.0)\" is wider (0.077) than the confidence interval for \"(0.0, 0.5)\" (0.075).\n", + "\n", + "**Answer:** The x-axis interval with the widest confidence bound is **(0.5, 1.0)**. \n", + "\n", + "SOLUTION: (0.5, 1.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** For each interval, subtract the lower bound from the upper bound. \n", + "\n", + "2. **Compare the widths:** Identify the interval with the largest difference between its upper and lower bounds.\n", + "\n", + "Let's do the calculations:\n", + "\n", + "```\n", + "Interval | Upper Bound | Lower Bound | Difference (Width)\n", + "----------------------- | ----------- | ----------- | -----------------\n", + "(0.02729, 0.049945) | 0.6969 | -0.8125 | 1.5094 \n", + "(0.049945, 0.06971) | 0.7425 | -0.7624 | 1.5049\n", + "(0.06971, 0.099305) | 0.487 | -0.6001 | 1.0871\n", + "... | ... | ... | ...\n", + "(0.99795, 1.058) | 0.9008 | 0.4487 | 0.4521\n", + "```\n", + "\n", + "**Result:**\n", + "\n", + "After calculating the width of the confidence interval for each interval, we find that the interval **(0.02729, 0.049945)** has the widest confidence bound with a width of **1.5094**. \n", + "\n", + "SOLUTION: (0.02729, 0.049945)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (12683.5, 27723.0)\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "response:\n", + "GenerateContentResponse(\n", + " done=True,\n", + " iterator=None,\n", + " result=glm.GenerateContentResponse({\n", + " \"candidates\": [\n", + " {\n", + " \"finish_reason\": 2,\n", + " \"index\": 0,\n", + " \"safety_ratings\": [\n", + " {\n", + " \"category\": 9,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 8,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 7,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " },\n", + " {\n", + " \"category\": 10,\n", + " \"probability\": 1,\n", + " \"blocked\": false\n", + " }\n", + " ],\n", + " \"token_count\": 0,\n", + " \"grounding_attributions\": []\n", + " }\n", + " ]\n", + " }),\n", + ")\n", + "LLM RESPONSE: \n", + "SOLUTION: (0.1545, 0.15765)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to determine the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of the confidence intervals:**\n", + " - For the interval \"(0.0, 0.5)\": (-0.058) - (-0.1574) = 0.0994\n", + " - For the interval \"(0.5, 1.0)\": 0.2724 - 0.1003 = 0.1721\n", + "\n", + "2. **Compare the widths:**\n", + " - The confidence interval for the interval \"(0.5, 1.0)\" is wider (0.1721) than the confidence interval for \"(0.0, 0.5)\" (0.0994).\n", + "\n", + "**Answer:** The x-axis interval **(0.5, 1.0)** has the widest confidence bound. \n", + "\n", + "SOLUTION: (0.5, 1.0)\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the interval with the widest confidence bound:\n", + "\n", + "1. **Calculate the width of each confidence interval:** \n", + " - For each interval, subtract the lower bound from the upper bound. \n", + " - For example, for the interval \"(0.0, 0.001156)\": (-0.3494) - (-0.9396) = 0.5902\n", + "\n", + "2. **Compare the widths:**\n", + " - Go through all the calculated widths and identify the largest value.\n", + "\n", + "3. **Identify the corresponding interval:**\n", + " - The interval associated with the largest width is the interval with the widest confidence bound.\n", + "\n", + "**Let's calculate:**\n", + "\n", + "It's tedious to calculate all of them manually. To make it faster, we can visually scan for large differences between the \"Lower Bounds\" and \"Upper Bounds\" values. Doing this, we see that the interval **(0.02983, 0.032535)** has a lower bound of -0.4149 and an upper bound of 0.4843. This looks like the widest interval.\n", + "\n", + "**To confirm:**\n", + "\n", + "0.4843 - (-0.4149) = **0.8992**\n", + "\n", + "This confirms that the interval **(0.02983, 0.032535)** has the widest confidence bound. \n", + "\n", + "SOLUTION: (0.02983, 0.032535)\n", + "--------------------------------------------------------------------------------\n" + ] + }, + { + "ename": "DeadlineExceeded", + "evalue": "504 Deadline Exceeded", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mDeadlineExceeded\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[68], line 12\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m question \u001b[38;5;129;01min\u001b[39;00m questions:\n\u001b[1;32m 11\u001b[0m messages \u001b[38;5;241m=\u001b[39m [{\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrole\u001b[39m\u001b[38;5;124m'\u001b[39m:\u001b[38;5;124m'\u001b[39m\u001b[38;5;124muser\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mparts\u001b[39m\u001b[38;5;124m'\u001b[39m: [question[\u001b[38;5;241m0\u001b[39m]]}]\n\u001b[0;32m---> 12\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate_content\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 13\u001b[0m \u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 14\u001b[0m \u001b[43m \u001b[49m\u001b[43mgeneration_config\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgenai\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtypes\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mGenerationConfig\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 15\u001b[0m \u001b[43m \u001b[49m\u001b[43mcandidate_count\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 16\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_output_tokens\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m500\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 17\u001b[0m \u001b[43m \u001b[49m\u001b[43mtemperature\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0.2\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 18\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 19\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 20\u001b[0m response \u001b[38;5;241m=\u001b[39m response\u001b[38;5;241m.\u001b[39mtext\n", + "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/google/generativeai/generative_models.py:262\u001b[0m, in \u001b[0;36mGenerativeModel.generate_content\u001b[0;34m(self, contents, generation_config, safety_settings, stream, tools, tool_config, request_options)\u001b[0m\n\u001b[1;32m 260\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m generation_types\u001b[38;5;241m.\u001b[39mGenerateContentResponse\u001b[38;5;241m.\u001b[39mfrom_iterator(iterator)\n\u001b[1;32m 261\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 262\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_client\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate_content\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 263\u001b[0m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 264\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mrequest_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 265\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 266\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m generation_types\u001b[38;5;241m.\u001b[39mGenerateContentResponse\u001b[38;5;241m.\u001b[39mfrom_response(response)\n\u001b[1;32m 267\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m google\u001b[38;5;241m.\u001b[39mapi_core\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mInvalidArgument \u001b[38;5;28;01mas\u001b[39;00m e:\n", + "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/google/ai/generativelanguage_v1beta/services/generative_service/client.py:812\u001b[0m, in \u001b[0;36mGenerativeServiceClient.generate_content\u001b[0;34m(self, request, model, contents, retry, timeout, metadata)\u001b[0m\n\u001b[1;32m 809\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_validate_universe_domain()\n\u001b[1;32m 811\u001b[0m \u001b[38;5;66;03m# Send the request.\u001b[39;00m\n\u001b[0;32m--> 812\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mrpc\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 813\u001b[0m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 814\u001b[0m \u001b[43m \u001b[49m\u001b[43mretry\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mretry\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 815\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 816\u001b[0m \u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 817\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 819\u001b[0m \u001b[38;5;66;03m# Done; return the response.\u001b[39;00m\n\u001b[1;32m 820\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m response\n", + "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/google/api_core/gapic_v1/method.py:131\u001b[0m, in \u001b[0;36m_GapicCallable.__call__\u001b[0;34m(self, timeout, retry, compression, *args, **kwargs)\u001b[0m\n\u001b[1;32m 128\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compression \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 129\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcompression\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m compression\n\u001b[0;32m--> 131\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mwrapped_func\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/google/api_core/retry/retry_unary.py:293\u001b[0m, in \u001b[0;36mRetry.__call__..retry_wrapped_func\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 289\u001b[0m target \u001b[38;5;241m=\u001b[39m functools\u001b[38;5;241m.\u001b[39mpartial(func, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 290\u001b[0m sleep_generator \u001b[38;5;241m=\u001b[39m exponential_sleep_generator(\n\u001b[1;32m 291\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_initial, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_maximum, multiplier\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_multiplier\n\u001b[1;32m 292\u001b[0m )\n\u001b[0;32m--> 293\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mretry_target\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 294\u001b[0m \u001b[43m \u001b[49m\u001b[43mtarget\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 295\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_predicate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 296\u001b[0m \u001b[43m \u001b[49m\u001b[43msleep_generator\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 297\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_timeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 298\u001b[0m \u001b[43m \u001b[49m\u001b[43mon_error\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mon_error\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 299\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/google/api_core/retry/retry_unary.py:153\u001b[0m, in \u001b[0;36mretry_target\u001b[0;34m(target, predicate, sleep_generator, timeout, on_error, exception_factory, **kwargs)\u001b[0m\n\u001b[1;32m 149\u001b[0m \u001b[38;5;66;03m# pylint: disable=broad-except\u001b[39;00m\n\u001b[1;32m 150\u001b[0m \u001b[38;5;66;03m# This function explicitly must deal with broad exceptions.\u001b[39;00m\n\u001b[1;32m 151\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[1;32m 152\u001b[0m \u001b[38;5;66;03m# defer to shared logic for handling errors\u001b[39;00m\n\u001b[0;32m--> 153\u001b[0m \u001b[43m_retry_error_helper\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 154\u001b[0m \u001b[43m \u001b[49m\u001b[43mexc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 155\u001b[0m \u001b[43m \u001b[49m\u001b[43mdeadline\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 156\u001b[0m \u001b[43m \u001b[49m\u001b[43msleep\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 157\u001b[0m \u001b[43m \u001b[49m\u001b[43merror_list\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 158\u001b[0m \u001b[43m \u001b[49m\u001b[43mpredicate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 159\u001b[0m \u001b[43m \u001b[49m\u001b[43mon_error\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 160\u001b[0m \u001b[43m \u001b[49m\u001b[43mexception_factory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 161\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 162\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 163\u001b[0m \u001b[38;5;66;03m# if exception not raised, sleep before next attempt\u001b[39;00m\n\u001b[1;32m 164\u001b[0m time\u001b[38;5;241m.\u001b[39msleep(sleep)\n", + "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/google/api_core/retry/retry_base.py:212\u001b[0m, in \u001b[0;36m_retry_error_helper\u001b[0;34m(exc, deadline, next_sleep, error_list, predicate_fn, on_error_fn, exc_factory_fn, original_timeout)\u001b[0m\n\u001b[1;32m 206\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m predicate_fn(exc):\n\u001b[1;32m 207\u001b[0m final_exc, source_exc \u001b[38;5;241m=\u001b[39m exc_factory_fn(\n\u001b[1;32m 208\u001b[0m error_list,\n\u001b[1;32m 209\u001b[0m RetryFailureReason\u001b[38;5;241m.\u001b[39mNON_RETRYABLE_ERROR,\n\u001b[1;32m 210\u001b[0m original_timeout,\n\u001b[1;32m 211\u001b[0m )\n\u001b[0;32m--> 212\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m final_exc \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msource_exc\u001b[39;00m\n\u001b[1;32m 213\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m on_error_fn \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 214\u001b[0m on_error_fn(exc)\n", + "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/google/api_core/retry/retry_unary.py:144\u001b[0m, in \u001b[0;36mretry_target\u001b[0;34m(target, predicate, sleep_generator, timeout, on_error, exception_factory, **kwargs)\u001b[0m\n\u001b[1;32m 142\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m sleep \u001b[38;5;129;01min\u001b[39;00m sleep_generator:\n\u001b[1;32m 143\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 144\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mtarget\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 145\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m inspect\u001b[38;5;241m.\u001b[39misawaitable(result):\n\u001b[1;32m 146\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(_ASYNC_RETRY_WARNING)\n", + "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/google/api_core/timeout.py:120\u001b[0m, in \u001b[0;36mTimeToDeadlineTimeout.__call__..func_with_timeout\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 117\u001b[0m \u001b[38;5;66;03m# Avoid setting negative timeout\u001b[39;00m\n\u001b[1;32m 118\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtimeout\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mmax\u001b[39m(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_timeout \u001b[38;5;241m-\u001b[39m time_since_first_attempt)\n\u001b[0;32m--> 120\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/google/api_core/grpc_helpers.py:78\u001b[0m, in \u001b[0;36m_wrap_unary_errors..error_remapped_callable\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m callable_(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m grpc\u001b[38;5;241m.\u001b[39mRpcError \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[0;32m---> 78\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exceptions\u001b[38;5;241m.\u001b[39mfrom_grpc_error(exc) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mexc\u001b[39;00m\n", + "\u001b[0;31mDeadlineExceeded\u001b[0m: 504 Deadline Exceeded" + ] + } + ], + "source": [ + "import google.generativeai as genai\n", + "import os\n", + "\n", + "genai.configure(api_key=os.environ['GEMINI_API_KEY'])\n", + "\n", + "import time\n", + "\n", + "model = genai.GenerativeModel(model_name=\"gemini-1.5-pro-latest\")\n", + "\n", + "for question in questions:\n", + " messages = [{'role':'user', 'parts': [question[0]]}]\n", + " response = model.generate_content(\n", + " messages,\n", + " generation_config=genai.types.GenerationConfig(\n", + " candidate_count=1,\n", + " max_output_tokens=500,\n", + " temperature=0.2),\n", + " )\n", + " try:\n", + " response = response.text\n", + " except:\n", + " print(f\"Gemini: Invalid response with parts {response.parts}.\")\n", + " print(response)\n", + " response = \"\"\n", + " print('LLM RESPONSE: ', response)\n", + " print('SOLUTION: ', question[1])\n", + " print('-'*80)\n", + " # sleep 20 sec to avoid rate limit\n", + " time.sleep(20)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "tmcd", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/benchmarks/notebooks/function-recognition.ipynb b/benchmark/notebooks/function-recognition.ipynb similarity index 81% rename from benchmarks/notebooks/function-recognition.ipynb rename to benchmark/notebooks/function-recognition.ipynb index 21b0bca..85eeefd 100644 --- a/benchmarks/notebooks/function-recognition.ipynb +++ b/benchmark/notebooks/function-recognition.ipynb @@ -1616,7 +1616,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 117, "metadata": {}, "outputs": [ { @@ -1860,7 +1860,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_29557/1061528540.py:26: RuntimeWarning: divide by zero encountered in log\n", + "/tmp/ipykernel_101807/1061528540.py:26: RuntimeWarning: divide by zero encountered in log\n", " (lambda x: np.log(x+10) + 1/3 * x , 'log(x+10) + 1/3 * x '),\n" ] }, @@ -1991,7 +1991,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 118, "metadata": {}, "outputs": [ { @@ -2022,7 +2022,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_29557/1061528540.py:26: RuntimeWarning: divide by zero encountered in log\n", + "/tmp/ipykernel_101807/1061528540.py:26: RuntimeWarning: divide by zero encountered in log\n", " (lambda x: np.log(x+10) + 1/3 * x , 'log(x+10) + 1/3 * x '),\n" ] }, @@ -2313,725 +2313,13 @@ "output_type": "stream", "text": [ "Question 18\n" - ] - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABkAAAAEpCAYAAADLUO67AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAC93UlEQVR4nOzdeVxUVf8H8M/M4LCY7CigiOCGK+COaWqpqGW2PO25pZalaemTSYuaWj5pm5ppZWpZPa0+lUsqbmmCu2jusrikgigC4sLAzPn9wQ8S2c4d7qx83q/XvMrLueeeYZgzd873nO/RCCEEiIiIiIiIiIiIiIiInIjW1g0gIiIiIiIiIiIiIiJSGwMgRERERERERERERETkdBgAISIiIiIiIiIiIiIip8MACBEREREREREREREROR0GQIiIiIiIiIiIiIiIyOkwAEJERERERERERERERE6HARAiIiIiIiIiIiIiInI6DIAQEREREREREREREZHTYQCEiIiIiIiIiIiIiIicDgMg5HCGDRuGRo0aVauOF154AX369FGnQWZatGgRGjZsiPz8fJu2g4gqpkZ/I+vs2bNwc3PD9u3bFZ3XqFEjDBs2zOzrmkwmtG7dGm+//bbicydPnozOnTuXOX758mXUrl0ba9asMbtdRGQeR+i3SBneM1KNMmwYUN0+7IUXAHO+661dC9xxB5CZWb3rW4otfzeO6MgRwMUFOHTI1i0hIiqRl5eHunXr4ptvvrFpO7p06YJJkybZtA3WxACIE1u4cCEeeeQRNGzYEBqNpsoBsitXrsDFxQU//PADAOCdd95Bly5dEBAQADc3NzRt2hQvvfQSMhXeEFrrS7istLQ0LF68GK+99lqp4xqNptzHf/7zn3LrmTZtGpYtW2Z2O4YNGwaDwYBPP/3U7DrMtXXrVtx///0ICQmBm5sbAgMD0a9fPw5gENnQ9OnT0blzZ9x5551Wve5///tfnD17FmPHjlV87ksvvYQDBw7gt99+K3Xcz88PI0eOxJtvvqlWM4nIDlmq31q2bBmmTZtWaRkl95cbN27EM888g2bNmsHDwwPh4eEYOXIkLly4UL2GluPChQuYPHkyevXqhTp16kCj0WDLli3llu3Zs2e59579+vUrVc6W94xEDictDVi8GLjtu56Ufv2AJk2AWbPUb5c9qOx388UXQIsWgJsb0LQpMH++XJ1btgAaTfmPHTvk2zZtGlCN79blatkSuPdeYMoUdeslspEtW7ZUOa6n5P5o9+7dGDt2LFq1aoXatWujYcOGePTRR3HixInqNdQMarVF5h7S1ubOnYs6derg8ccfLzm2bNmyCsck09PTy62numOtr776KhYsWFBh/c7GxdYNIMt59913cfXqVXTq1EnqC966deug0WjQt29fAMDevXsRFRWFxx9/HHXq1MHRo0fx+eefY/Xq1UhKSkLt2rUrrGvDhg3o1asXdDpdmWvExsZW63l9/vnnMJlMZp8/d+5chIWFoVevXmV+1qdPHwwZMqTUsejo6JL/P3ToEHx8fFC/fv1SZY4fPw5XV1dFHZCbmxuGDh2KDz74AC+++CI0Go2yJ1INJ06cgFarxejRoxEYGIgrV67g66+/xl133YXVq1eX+eJNVFNVt7+RlZmZiS+//BJffvml4nOPHz8Ordb8+Qxz5szB448/Di8vL8XnBgYGYtCgQXjvvfdw//33l/rZ6NGjMW/ePGzatAl333232e0jImUcod8qz5kzZ3Dt2jW0aNGi1PHz58/j8uXLaNOmTbn3kUajEZs3b0bv3r0rrPvVV19FVlYWHnnkETRt2hSpqan4+OOPsWrVKiQlJSEwMFCV5wAU9cnvvvsumjZtijZt2iAxMbHS8g0aNMCs2wZbg4ODS/3blveMRFb3+edAdfqwuXOBsDCgnO96Up57Dvj3v4G33gLq1DG/HZZgqd/Np58Co0cDDz8MTJgAbNsGjBsHXL8OvPqqXN3jxgEdO5Y+1qRJ5eccOgT4+AC3fbfG8eOAq2v1V7sARc9rwAAgJQVo3Lj69RFZWU5ODo4ePYouXbqUOp6dnY3jx4+jc+fOZo+/vfvuu9i+fTseeeQRtG3bFunp6fj444/Rrl077NixA61bt7bIc1K7LTL3kPaioKAAc+fOxcsvv1zm9QKKJheFhYWVOubt7V3y/2qOtQ4aNAienp745JNPMH36dEXnOiRBdm3o0KGiR48eZp176tQpYTKZhBBC1K5dWwwdOrTS8oMHD67yWj/99JMAIP773/9WWMZkMolHH31UdOjQQSQlJYnQ0FCRmpoq+vbtK/r06SOuXr2q9KmoxmAwCH9/f/HGG2+U+RkAMWbMmErP//bbb0VISIhYuHChmDJlivjss8/EjBkzRFhYmNi0aZPi9uzZs0cAEBs3blR8bnGbly5data5t7t27ZqoV6+eiI2NVaU+IpL3wQcfCHd3d6v3j/v27RMAxIYNG8yu46effhIajUakpKSU+Vnr1q3F4MGDq9NEIrJTavdbGzduFKGhoWLGjBnis88+E1OmTBELFy4UoaGh4rvvvhNXr14VvXr1En369BFpaWkiNDRUJCUliY4dO4onnnii5J63PH/88YcwGo1ljgEQr7/+uirtL5abmysuX74shBDixx9/FADE5s2byy3bo0cP0apVK6l6q3vPSFQjGAxC+PsLUc53PWkZGULodEJ88YV554eGCjF1qvnXt5SKfjfXrwvh5yfEvfeWPv7UU0LUri1EVlbl9W7eLAQgxI8/Km/Tt98KERIixMKFQkyZIsRnnwkxY4YQYWFCmPHdulwGgxA+PkK8+aY69RFZ2YEDB0SzZs3EuHHjxMqVK8XQoUPFTz/9JMLCwsSHH35YrfG37du3i/z8/FLHTpw4IVxdXcVTTz1lVntDQ0PFVDP6wOq0pap7SHuyYsUKAUAkJyeXOr506VIBQOzevbvCcy0x1jp27FgRGhpa6X20s2AAREXXr18XzZs3F82bNxfXr18vOX758mURGBgoYmJiRGFhoaI6qxMAuVVVARCj0SgCAgLE7NmzK62n+MvXwoULq7zm1q1bRZcuXYRerxdRUVHi119/rfKc3NxcMX78eBEaGir0er0ICAgQvXv3Fnv37i0pM3ToUBEaGlry77S0NAFAzJkzR3z66aciPDxc6PV60aFDB7Fr165S9W/atEkAEFu2bClz7eIAyPXr18WNGzcqbOPFixfFc889Jzw9PYWfn594/fXXRV5enhCiqEPq2bOn8Pf3FxkZGSXn5Ofni9atW4vw8PCSssV8fX3FuHHjqvzdlEfNAIgQRYOVnTt3Vq0+IntXVZ9ze38jhBCXLl0STz/9tKhTp47w8vISQ4YMEUlJSWXej0OHDhW1a9cWf//9txg0aJCoXbu28Pf3FxMnTizzWXDXXXeJnj17lmnfiRMnxEMPPSTq1asnXF1dRf369cVjjz0msrOzS8qEhoaW6t+Lb57+/PNP8fLLLwt/f3/h4eEhHnjgAXHx4sVS9U+ZMkXo9XphMBhKjin9LMvOzhYajUZ88MEHZdr/8ssvC29v7xpxQ0VkDebcJwlhvX7ryJEjws3NrUzgc9u2bUKr1YpJkyZV+fzi4uKEn5+f8PT0FKNHjxaZmZmlyvzyyy8iKipK6PV60aVLF7Ft27aqfm0V8vX1FQ899JDZ51dFNgBSUFAg9aW1OveMRHYhN1eI8eOLggR6vRABAUL07i3ELX2YGDq06OfF0tKKBtjnzBHi00+FCA8vOrdDByFu+64nNm0qKnv7d70hQ4RwdRXiyJHSx/v2FcLbW4hz50ofj44W4v77zXuO5gZAbPW7Wb266Pjq1aWPJyQUHV++vPJ23xoAyc0VoqBAybMW4uJFIZ57TghPz6JAzOuvC3Hb9+UypkwRQqMR4vYJPKNGCVGrlhBJSaWPP/igEG3bKmsXkYoyMjKEv7+/6NGjR6nvRSdPnhQeHh7i0UcfrfT8/Px8MWfOHBEcHCxq164tHn30UXHq1KlSZcwZf6tIu3btRLt27cw619wASHXbInMPWZHly5eLjh07Cnd3d+Ht7S26d+8u1q1bV6rMggULRMuWLYVerxdBQUHihRdeEFeuXClVRua7+5AhQ0SjRo3KtOHWAEhubm6lY8eVvdZK78V//fVXAUDs27evyt+To+MeICpyd3fHl19+ieTkZLz++uslx8eMGYOcnBwsW7as3CVO9mD37t3IzMzEgAEDSh0XQuDSpUtIT0/Htm3bMG7cOOh0OvTs2bPKOrVabakl+jLL9UePHo2FCxfi4YcfxieffIJ///vfcHd3x9GjR6s899tvv8WcOXPw3HPPYebMmTh16hQeeughFBQUlJRJSEiARqMpldbqVsuWLUPt2rXh7u6Oli1b4ttvvy1TRqPRlEo3c/tzXLJkCW7evInRo0eXHJ86dSoOHz6MpUuXlkkd1q5dO5vtvZGbm4tLly7h2LFjeO2113Do0CHcc889NmkLkS0o7XNMJhMGDhyI//73vxg6dCjefvttXLhwAUOHDi23vNFoRGxsLPz8/PDee++hR48eeP/99/HZZ5+VlCkoKMDu3bvRrl27UucaDAbExsZix44dePHFF7FgwQI8++yzSE1NRXZ2dpXP7cUXX8SBAwcwdepUPP/881i5cmWZfT4SEhLQunVr1KpVq+SY0s8yLy8vNG7cuNx+rH379sjOzsbhw4erbC8RVc2c+yRr9lstWrTAjBkzsHz58pK9ga5du4Zhw4YhIiKiyuX1Wq22wnusW8sovb8sT15eHvLy8uDv72/W+Wo5ceIEateujTp16iAwMBBvvvlmqXvXW9nynpFIFaNHAwsXFqVa+uSTolRT7u6AxHc9fPstMGdOUYqqmTOBU6eAhx4Cbn2/JCQU7T1x+3e9uXOBgABg6FDAaCw69umnwPr1RXtd3JZ2Du3bF9VlTbb63ezfX/TfDh1KH2/fHtBq//l5VYYPBzw9i/YQ6dUL2LNH7jyNpug6t/67Km+8AURFASNGAFevFh1bt64oRdiUKUBkZOny7dsXpdvKzZVrE5HK6tati4ULF+KPP/7A/P/fX8dkMmHYsGGoU6cOPvnkk0rPLx6DKr7nKd4b4lZq3R8JIZCRkWHz+yOlbZG5hyzPW2+9hcGDB6NWrVqYPn063nrrLYSEhGDTpk0lZaZNm4YxY8YgODgY77//Ph5++GF8+umn6Nu3b8k9m+x394SEhDL3z7fq1asXPD094eHhgfvvvx8nT54s97lW9ForvRdv3749ANSM+0sbB2CcUlxcnNBqtWLr1q0lM78++ugjs+qy1gqQN998s8xsQSGEuHDhggBQ8mjQoIH4/vvvK72WyWQSTz75ZJllWX369KlyWZaXl1eVaagqWgHi5+cnsm5ZolscyVy5cmXJsaefflr4+fmVW2/Xrl3FRx99JH799VexcOFC0bp1awFAfPLJJyVlvvvuO9GwYUPxySeflKTAmj59epkUWJ9++qkAIL7++muxY8cOodPpxEsvvVTudZ999lnh7u5e6XOuCKq5AiQ2NrbktdXr9eK5556rdPULkbOpqs+5vb/5+eefy/TpRqNR3H333eXOpAYgpk+fXqrO6Oho0b59+5J/JycnCwBi/vz5pcrt379fABA/VpFSoKIVIL179y41w+jll18WOp2u1AyUBg0aiIcffrjcepV8lvXt21e0aNGizPGEhAQBoMrPDSKSY859kjX7reK6u3XrJurVqycuXbokxowZI1xcXCpd0i+EEJs3bxZhYWFi+vTpJekLPvnkk1IpsIrvJVNTU0ulwHryyScVrzSbMWOGxVNKVbUC5JlnnhHTpk0TP//8s/jqq6/E/fffLwBUOBO0OveMRHbBy0uIKvqwClc5+PmVTsf0669Fx2/5rieefrqoXHnWrSsqP3OmEKmpQtxxhxAPPFB+2XfeKSp7y4p+aeauALHV72bMmKKUX+UJCBDi8ccrb9P27UI8/HBRyrBffxVi1qyi67i5CVHVjOLvvhOiYUMhPvnknxRY06fLpcD666+i1S4jRwpx5YoQ9esXrXwpbwXKt98W/T527qy8TiILe+KJJ4SHh4c4ceKEmDNnjgAgfvnll0rPOXjwoIiIiBAvvvhiSQqsH3/8UYSFhYmPPvqoWuNv5Vm+fLkAIL4wMw2gmitAZNtS1T1kRU6ePCm0Wq148MEHy6RKLb6vvHjxotDr9aJv376lynz88ccCgFiyZIkQQu67e0FBgdBoNGLixIllfvb999+LYcOGiS+//FL873//E2+88Ybw8PAQ/v7+4syZMyVtknmtld6L6/V68fzzz1fYbmfBAIgF5OfnizZt2oiwsDAREBBQZplbRYxGo8jMzCz1ePzxx0XXrl3LHL81XYmMqgIg7du3Fy+88EK5zyU+Pl6sXLlSTJ8+XURFRUl1hOvXry9ZsnXrl/Dff/+90vNCQ0NFhw4dxLnblyHfoqIAyO3tz8rKEgDE3LlzS471799fNGnSpMr2C/FP2ipvb++SNDB//fWX+Pvvv4UQQkydOrVk0ODo0aMiLS2t1PmxsbHCx8dHNG3aVDRr1qxUKplbvfrqqwKAuHbtWqXtuXbtWpm/g+LBh1uPZVWVp/UW+/fvF+vXrxdffPGFuOuuu8Tw4cNtukcLkbVV1efc3t+MGjVK1KpVq8z7tXiAsbyBxNvTTo0bN074+PiU/Hvnzp0lAdNbpaamCgBi5MiRlfYPFQVAfvjhh1LlivONHjhwoOSYu7u7GDlyZLn1Kvkse+yxx0RAQECZ40ePHhUAxIIFCypsPxHJM+c+yZr9VrHk5GRRu3Zt0bFjR6HRaMSbErnXT506JY78f3qapUuXlnx5PnfunDh48KAQovR9ZPFzLCwsFOvXr6+y/lv98ccfwsXFpcqUE9VVVQCkPKNGjRIARGJiYpmfyd4zEtmt0NCiQepK+rAKB/lv/66alVV0/JbveqJ/fyEq+6733HNFg+ZRUUX7YVQU4Fi4sKjuw4crfz43bwqRmVn6ERIixCuvlD1eFVv9bp55RoiKAqshIUIMGlR122938mRRnVXtLfnXX0L8/3drMXWqEMWfR0ePFj23qsyaVfQ8O3UqSnFW0ev1++/lp/kisrLLly+LoKAg0bZt23LTFJUnOzu75J5g8+bNJd/7rly5Inbs2CGEMH/87XZHjx4Vnp6e0un7b968WWaMKiQkRLzyyitljiulpC0y95DlKQ5C7d+/v8Iy3377rQAg1qxZU+p4fn6+8PT0LJlMKPPdPSMjQwAQM2fOrPT5FNu2bZvQaDTiueeeKzkm+1oruRevV6+eeOSRR6Ta5MiYAssC9Ho9lixZgrS0NFy9ehVLly6VWn515swZBAQElHp89913SEhIKHNczeVJ6enp2LdvH+69995yn0vv3r1x33334c0338SCBQswYsQIrFq1qtI6+/TpU266r379+lV63uzZs3Ho0CGEhISgU6dOmDZtGlJTU6WeR8OGDUv928fHBwBw5cqVUseFEFL16fV6jB07FtnZ2di7dy8AoHXr1qhfv36ZshEREWjUqFGpY1988QWuX7+OkydPYtmyZXB3dy/3OsXtqepvZPbs2WX+DoCiNDe3HqsovVd5oqKi0KdPHzzzzDOIj4/Hrl27MGzYMOnziRyd0j7n9OnTCAoKgoeHR6njTZo0Kbe8m5tbyXu1mI+PT5l+CSjbN4WFhWHChAlYvHgx/P39ERsbiwULFiAnJ0fquVW3T1TyWSaEKPdnsv0bEckx5z7Jmv1WscaNG2PatGnYvXs3WrVqhTfffLPSNgJAaGgoWrRoUeZ4cHAw2rRpA6D8+0idToc+ffpUWX+xY8eO4cEHH0Tr1q2xePHiKsvn5eUhPT295JGZmSl9LXNMnDgRALBhw4YyP2OfSg5v9uyiVEQhIUCnTsC0aYDkdz3cdl+D/7+vwe19U2Xf9d57D/D1BZKSgHnzgLp1yy9XXEdV77X//rcotdatj7Nni9JR3X68Krb63bi7AwZD+fXevFn0c6WaNAEGDQI2b/4n5Vh5WrcGyvlujYgI4Lbv1uV65ZWidFe7dgFTpwItW5ZfTvb1JKomg8FQ6p4hPT0dxlveA76+vpg3bx4OHjwILy8vzJs3r8o6vby80KVLlzLHvb290blzZwDmj7/dKj09Hffeey+8vLzw008/SaXv/+9//1tmjOrs2bOYM2dOuWNXlmqLzD1keVJSUqDVatGyor4DRffRANC8efNSx/V6PcLDw0t+ruS7u+yYZLdu3dC5c+dS94Syr7WSe/GKvss7GwZALGTdunUAgJs3b5abs608gYGBiI+PL/Xo27cv2rZtW+Z45O15Lavh999/h5ubG3r16lVl2a5duyIoKAjffPONdP2nTp2SLvvoo48iNTUV8+fPR3BwMObMmYNWrVrh999/r/LcijrFWzsXPz+/cr/AVyQkJAQAkJWVVeZn06ZNqzRYsGXLFuTn5wMA/vrrrwrLXblyBR4eHhUGSIoNGTKkzN8BALzyyiuljil5bW6l1+tx//33Y8WKFbhx44ZZdRA5mur0OTJkbhz9/PwAlA1MAMD777+PgwcP4rXXXsONGzcwbtw4tGrVCn///bfZ11bSJ8p+ll25cqXc3KzFddtDDlkiZ2DpPguofr9VbP369QCA8+fP4/Lly4raMGzYMEybNq3SMkruL4udPXsWffv2hZeXF9asWYM6depUec57772HoKCgkkfHjh0VX1eJyu49Ze8ZiezWo48WDeoX77sxZw7QqhUg04dV1DfdOpDk51d20P9W+/cDFy8W/X8l389K6qjq/iU2FoiPL/2oVw8YPLjs8arY6ncTFFQUpCj+vRQzGIDLl8vujyIrJKSojmvX5MpPmwYonYiXmgoU35+q8XoSVVNCQkKpe4agoCCcPXu2VJni71dXrlyR+k53q549e2LZsmWVljHn/ignJwf9+/dHdnY21q5di2DJ931sbGyZMap69eph8ODB5Y5dWbItxWTuIS2lqu/uvr6+0Gg0iscky7snBKp+rWXvxbOzs2vE93UXWzfAGR08eBDTp0/H8OHDkZSUhJEjR+Kvv/6Cl5dXpee5ubmhd+/epY59/fXXyM/PL3NcTatXr0avXr2kv0zdvHlTegayOYKCgvDCCy/ghRdewMWLF9GuXTu8/fbb6N+/f7XrjoiIwDfffIOcnJwqXw8AJbMqlUasL1y4gBdffBF9+/aFXq/Hv//9b8TGxiI0NLRM2bS0tHKj1bcLDw9HeHh4meMtW7ZU7e/jxo0bEELg6tWr/HJNNYaSPic0NBSbN2/G9evXS82mTk5ONvv6DRs2hLu7O9LS0sr9eZs2bdCmTRu88cYbSEhIwJ133olFixZh5syZZl+zWERERIXXVfJZlpaWVm5gvrhumT6OiOQovU+yRb+1aNEixMfH4+2338asWbPw3HPP4ddffzX7emq4fPky+vbti/z8fGzcuBFBQUFS5w0ZMgTdunUr+bel748qu/eUvWcksmtBQcALLxQ9Ll4E2rUD3n4bUOG7HiIigG++AXJygNvvV65dK9qou2VLoGvXohUXDz4IlBfUTEsrGiyv6jtgUFDR41ZubkB4OGDO9zNb/G6ioor+u2cPMGDAP8f37AFMpn9+rlRqatHv4o47zG1x5UymooCJpyfw0kvAO+8A//pX0ebvt0tLK9povVkzy7SF6P9FRkaWGewPDAws+f+1a9di8eLFmDRpEr755hsMHToUO3fuhIuL7YZmb968iYEDB+LEiRPYsGFDpashblcc5LmVm5sbwsPDzRqjqk5bzNG4cWOYTCYcOXIEURX0dcVjeMePHy81HmcwGJCWllbmeVb23d3FxQWNGzeu8P65PKmpqYrHIwH5e/Fz587BYDDUiPtLrgBRWUFBAYYNG4bg4GDMnTsXy5YtQ0ZGBl5++WVbN61cBQUFiI+PL5P+6tq1a7h+/XqZ8j///DOuXLmCDh06qN4Wo9FYJrBSt25dBAcHl6ykqK6YmBgIIUpSWhUrL53B1atX8dFHH8Hf3x/t27dXdJ1Ro0bBZDLhiy++wGeffQYXFxeMGDGi3KVu+/btQ9euXZU9kWq6ePsMHxRFfX/++WeEhISgbkXLwYmciDl9TmxsLAoKCvD555+XHDOZTFiwYIHZ7ahVqxY6dOiAPXv2lDqem5uLwsLCUsfatGkDrVarap946NChMvUp+SzLyclBSkpKuf3Y3r174eXlhVatWqnSXqKazNz7JGv2W0DRIP0rr7yChx9+GK+99hree+89/Pbbb/jqq6/Mvl51Xbt2DQMGDMC5c+ewZs0aNG3aVPrc4i/xxY8777xTlTbl5uaWed2EECXB7djY2DLn2OKekUg1RmPR4Put6tYtWmGg0n0NYmKKVj3c9l0PAPDqq8CZM8CXXwIffFCUYmno0PKvvXdvUV3WYsvfzd13F6UFW7iw9PGFCwEPD+DWcYJLl4Bjx4BbxwnKSwt44ADw229A375FgQdL+OADICEB+OwzYMaMoqDW888XtfF2e/cWraaRmABJVB0+Pj6l7hl69+4NNzc3AEXjLSNHjkSnTp3wzjvvYPHixdi3bx/eeecdm7XXaDTiscceQ2JiIn788UfEWLPfs4O2PPDAA9BqtZg+fTpMJlOpnxWP3fXu3Rt6vR7z5s0rNZ73xRdfICcnp2QsVfa7e0xMTLn3z+WNSa5ZswZ79+5VlMoMUHYvXjw2WhPuL7kCRGUzZ85EUlISNm7ciDp16qBt27aYMmUK3njjDfzrX//CgFtnVVjYypUrceDAAQBFg1kHDx4s+VJ1//33o23btvjzzz+Rm5tbJgBy8uRJ9O7dG4899hgiIiKg1WqxZ88efP3112jUqBHGjx+venuvXr2KBg0a4F//+hciIyNxxx13YMOGDdi9ezfef/99Va7RrVs3+Pn5YcOGDbj77rtLji9YsAC//PILBg4ciIYNG+LChQtYsmQJzpw5g+XLl0Ov10tfY+nSpVi9ejWWLVuGBg0aAADmz5+Pp59+GgsXLsQLL7xQUnbv3r3IysrCoEGDVHl+svr3748GDRqgc+fOqFu3Ls6cOYOlS5fi/Pnz+P77763aFiJbMafPeeCBB9CpUydMnDgRycnJiIiIwG+//VayLNXc3JmDBg3C66+/jtzcXHh6egIANm3ahLFjx+KRRx5Bs2bNUFhYiOXLl0On0+Hhhx8270mXc90ZM2bgjz/+QN++fUuOK/ks27BhA4QQ5fZj8fHxGDhwYI3IKUpkaebeJ1mz3xJC4JlnnoG7uzsW/v9g2nPPPYeff/4Z48ePR+/evRWnMlDDU089hV27duGZZ57B0aNHcfTo0ZKf3XHHHXjggQdUvV7x/fbhw4cBAMuXL8eff/4JAHjjjTcAFAUznnjiCTzxxBNo0qQJbty4gf/973/Yvn07nn32WbRr165Unba6ZyRSzdWrQIMGRbP0IyOLVgZs2ADs3g2o9F0P3boVpXrasKFoYL/Ypk3AJ58U7RNR/N5auhTo2RN4882i1SDFLl4EDh4ExoxRp00ybPm7cXcvCiCMGQM88khRWq9t24Cvvy5afeLr+0/Zjz8G3nqraG+Pnj2Ljj32WFEdXbsWBW2OHCkKSnh4AP/5jzptv93Ro0Wv27BhwMCBRceWLStarfLCC8APP/xTtqAA+OOPouNENjR+/HhcvnwZGzZsgE6nQ79+/TBy5EjMnDkTgwYNUjXNvayJEyfit99+w8CBA5GVlYWvv/661M+ffvppp25LkyZN8Prrr2PGjBno3r07HnroIbi6umL37t0IDg7GrFmzEBAQgLi4OLz11lvo168f7r//fhw/fhyffPIJOnbsWNIu2e/ugwYNwvLly3HixAk0u2VVWteuXREdHY0OHTrAy8sL+/btw5IlSxASEoLXXntN+jkpvRePj49Hw4YNFe0l7LCsuuW6k9u7d69wcXERL774YqnjhYWFomPHjiI4OFhcuXJFUZ1Dhw4VPXr0MKs9Q4cOFQDKfSxdulQIIcS///1v0bJlyzLnZmZmimeffVZERESI2rVrC71eL5o2bSpeeuklkZmZaVZ7qpKfny9eeeUVERkZKerUqSNq164tIiMjxSeffFLmeYWGhpb8Oy0tTQAQc+bMKVMnADF16tRSx8aNGyeaNGlS6tj69etFnz59RGBgoKhVq5bw9vYWffv2FRs3blT0HM6ePSu8vLzEwIEDy/zswQcfFLVr1xapqaklx1599VXRsGFDYTKZFF2n2K2vpRIff/yx6Natm/D39xcuLi4iICBADBw4UGzdutWsdhA5Ipk+5/b+Roii/vHJJ58UderUEV5eXmLYsGFi+/btAoD47rvvSp1bu3btMtedOnWquP3jNyMjQ7i4uIjly5eXHEtNTRXPPPOMaNy4sXBzcxO+vr6iV69eYsOGDaXODQ0NFUOHDi3599KlSwUAsXv37lLlNm/eLACIzZs3lzretm1bMWLEiJJ/K/0se+yxx0S3bt3KPM+jR48KAGXaS0TmMfc+SQjr9Vtz584VAMTPP/9cquyZM2eEp6enGDBggLlPv1pCQ0MrvCe+/XelhoqudevvMDU1VTzyyCOiUaNGws3NTXh4eIj27duLRYsWlXtfWN17RiKby88X4pVXhIiMFKJOHSFq1y76/9v6MDF0qBC3vi/T0oQAhCjnu54AhLjtu54YN06IW7/r5eYW1deunRAFBaXLvvyyEFqtEImJ/xxbuFAID4+i88wRGlq2TVWx1e/mVp99JkTz5kLo9UI0bizEhx8KcXt/M3VqUb233kvOnStEp05C+PoK4eIiRFCQEE8/LcTJk1U+bbMUFgrRsaMQDRoIkZ1d+mdz5xa17/vv/zn2++9FxyzVHiIJv/76qwAg3n///VLHc3NzRWhoqIiMjBQGg8Hq7erRo4fUPYsSoaGhZcbgbNUWWUuWLBHR0dHC1dVV+Pj4iB49eoj4+PhSZT7++GMREREhatWqJerVqyeef/75Ut+JZb+75+fnC39/fzFjxoxSx19//XURFRUlvLy8RK1atUTDhg3F888/L9LT0xU9FyX34kajUQQFBYk33nhD0TUclUYIye3nySm1bNkS9913H2bfOuvFyaWmpiIiIgK///477rnnHpu1Iz8/H40aNcLkyZMtsqKGiKznl19+wYMPPog///zT7PQoI0aMwIkTJ7Bt2zaVW1e55cuXY8yYMThz5gy8vb0VnZueno6wsDB89913ZWYlv/TSS9i6dSv27t3LFSBEdsiR+62ahveMRAqkphbtd/H774A53/Wio4tWN3z4oepNs7nq/m4c0QMPABoN8L//2bolREQAgBkzZmDp0qU4efIkdDqdzdrxyy+/4Mknn0RKSor03niOjAGQGsxgMGDWrFl49NFHa8SGN7d6/vnnkZycXGaDKmtatGgR3nnnHZw8eRKurq42awcRKXPjxo1Sm+AajUb07dsXe/bsQXp6utkb5J45cwbNmjXDxo0bVcsxL8NkMqFt27Z44okn8Prrrys6d/Lkydi0aRN27dpV6vjly5cRGhqKH374waqpH4mofM7Wb9U0vGckUuj554HkZEDpd721a4vSUKWmFqVzckbm/m4c0dGjQJs2QFIS0Lq1rVtDRAQAyMvLQ3h4OD788EM89dRTNmtHTEwMunfvXmMmxDMAQkREpMDIkSNx48YNxMTEID8/HytWrEBCQgLeeecdxMXF2bp5RERlsN8iIiIiIqKaigEQIiIiBb799lu8//77SE5Oxs2bN9GkSRM8//zzGDt2rK2bRkRULvZbRERERERUUzEAQkRERERERERERERETkdr6wYQERERERERERERERGpjQEQIiIiIiIiIiIiIiJyOi62bkBlTCYTzp8/jzp16kCj0di6OURkp4QQuHr1KoKDg6HVOk9cl30gEclwxj6Q/R8RyWIfSEQ1lTP2fwD7QCKSo6QPtOsAyPnz5xESEmLrZhCRgzh79iwaNGhg62aohn0gESnhTH0g+z8iUop9IBHVVM7U/wHsA4lIGZk+0K4DIHXq1AFQ9EQ8PT1t3Boisle5ubkICQkp6TOcBftAIpLhjH0g+z8iksU+kIhqKmfs/wD2gUQkR0kfaNcBkOKlbp6enuz0iKhKzrY8ln0gESnhTH0g+z8iUop9IBHVVM7U/wHsA4lIGZk+0HmSBBIREREREREREREREf0/BkCIiIiIiIiIiIiIiMjpMABCREREREREREREREROx673ACGimsdQaMLyxFM4nXUdob4eGBzTCHoX28dqt27dijlz5mDv3r24cOEC/ve//+GBBx6o9JwtW7ZgwoQJOHz4MEJCQvDGG29g2LBhFmnfDYMRU347iLUHL+CqQZT5eS2tBnU9XfFU51CM7B5uF79TQ6EJn29LxvKENGRcLUTZVtuOTgN4utdCbKtATB3YCu56na2bBADIu1mIsV/vwp/JV1Bo68bcQgPA1UWDLuF++PjJ9rjDzT5uL6p6X9iSPb4nK2Lv/R9Q9N548ZvdSEjOQr59vdR2x177N2dmz5939qbo80SL8IDa+HffCPRoHgCd1rly2xPZi+L7pN8PnEdeQdHs2NquOvRvE4S37m/Nzwcisrlb76EyrxZC60Dfoci+aIQQdnsPnpubCy8vL+Tk5HDjI6Ia4O3VR7D4zzTc2itpNcCo7mGIG9CywvOs0Vf8/vvv2L59O9q3b4+HHnqoygHAtLQ0tG7dGqNHj8bIkSOxceNGvPTSS1i9ejViY2Olrin7vEZ9tRvxRy4qej7P3VX579TSZq05gk+3ptns+kr1aVkXnw/paNM23P/xNhz8O9embZDVtoEnfhvb3aZtMOd9YUvVeU9aug+05/4PcKz3hj2yh/7NmTna5529qaXTYP4T0ejXOqjCMs74ndEZnxPZl2eW7cKmY5mVlrm7uR+WDO9ipRaROZy1r3DW50XKvL36CD7fVvk91KjujfD6va2s1CKyN0r6CgZAiMguVDVYWdngoLX7Co1GU+UA4KuvvorVq1fj0KFDJccef/xxZGdnY+3atVLXkXle1RnktVUQxFEHg2w5SOiIA7y2DII4WvCjmLnvSWv2gfbU/wGO+d6wRwyCWIajft7Zo0VPt6swCOKM3xmd8TmR/eg4Mx6ZeQapsn4eLtg7RW7yAlmfs/YVzvq8SJ6S73O8j625lPQVXCtERDa3KulclR9un21Lg6HQZKUWVV9iYiJ69+5d6lhsbCwSExNVu8YNg7Fag7yf2+B3aig0OexgUPyRi7hhMFr9unk3Cx1ygPfg37nIu2n9RF3VfV/Yki3ek5Zgjf4PcNz3hj2yVf/mzBz5884eTfvtCIwmu523R+Qw7p27RTr4AQCXrxei++xNFmwREdUENwxG/PvHfWj55ho0fW01OsxYj483nSz3u4/M+NCt4o9cxMoD58u95is/7Ufbqb+j6WurET19PSb/fJD3vDUUAyBEZBV5Nwsx/ItERLy2Go3j/vnwybtZiHHfJ1V5vhDAlwmnLN5OtaSnp6NevXqljtWrVw+5ubm4ceNGuefk5+cjNze31KMy76w5Uq02mgSwPPFUtepQytrXU1t1f+fmePn7/Va/plps0XZbvEZqscV70hKs0f8Bjv3esEeO/N6xR87wXrYn6bk3sSsty9bNIHJov+37G4cvXFN83tmsG5i+8rAFWkRENcEzy3ahxZS1+GnvBVwvECgwAZeuFeC99SfQ7I3fMWPVP6vGjSaBsd8lKb7GuP/uLzVRoviaP+45j9x8EwpMwJXrBfhu91m0mLIWzyzdocZTIwfCAAgRWdx987ah9bR12HwyCzdNgFH88+HTeto6yE7o233Kub/4zpo1C15eXiWPkJCQSsufuny92tc8nVX9Ouz5empT43eu1Jkr5Q8YOwJbtN0Wr5GaHP09Yi6l/R/g2O8Ne+To7x17U1Pfy5Z08epNWzeByGEZTQLjfjhg9vlLtp9yilWqZD0LFixAo0aN4Obmhs6dO2PXrl22bhLZQMeZ8VXuN/TFn6cxcP5WAMCYb/eYdR0BYOw3e6Wvuen4ZXSYsd6sa5FjYgCEiCwq4s3fcei8OilKPPQ6VeqxhsDAQGRkZJQ6lpGRAU9PT7i7u5d7TlxcHHJyckoeZ8+erfQajfw8qt3OUN/q12HP11ObGr9zpRr6lP/34ghs0XZbvEZqcvT3CGCd/g9w7PeGPXL09469cYb3sr2pW8fN1k0gcljmDireavAXnDFNcr7//ntMmDABU6dOxb59+xAZGYnY2FhcvOiYaWrJPEpS7v117iqGL9mJtYfM/xv5/XAGBnwkf81L1wpw3/xtZl+PHAsDIERkMdHTfsfNAvVmCj0c3UC1uiwtJiYGGzduLHUsPj4eMTExFZ7j6uoKT0/PUo/KvFbNDcy1GmBwTKNq1aGUta+ntur+zs3x4WPRVr+mWmzRdlu8RmqxxXvSEqzR/wGO/d6wR4783rFHzvBetieBnm7oFOZr62YQOSRDoalag4rFdqZd4SoQkvLBBx9g1KhRGD58OFq2bIlFixbBw8MDS5YssXXTyErMSbm3+cSlal/3SLqyax46l4tfk85V+7pk/xgAISKLmPrbQVy5qd4NsosW6NrUX7X6lMrLy0NSUhKSkpIAAGlpaUhKSsKZM2cAFM1eHjJkSEn50aNHIzU1FZMmTcKxY8fwySef4IcffsDLL7+sWpvc9Tr0aVnX7PNHdQ+D3sW6HwN6Fy2euyvMqtdUS5+WdeFug1VId7i5oG2DqgeD7U3bBp64w83F6tet7vvClmzxnpRhj/0f4LjvDXtkq/7NmTny5509mnZ/S+i0Gls3g8ghTf7J/NRXt+MqEKqKwWDA3r170bt375JjWq0WvXv3RmJiYrnnmLMXHNkvo0lgfDVS7lnby98nldo/hJyT/X3LJiKHZyg04cuEqtOXKPFCjyY2/eK7Z88eREdHIzq6aMbxhAkTEB0djSlTpgAALly4UDIYCABhYWFYvXo14uPjERkZiffffx+LFy9GbGysqu36fEhHswZ7n7srDHE2mu0bN6Clww0K9WlZF58P6Wiz6/82trtDDfS2beCJ38Z2t9n1zX1f2JIt35NVsdf+D3C894Y9snX/5swc8fPO3tTSabDo6Xbo1zrI1k0hckhGk8D/ks6rVh9XgVBVLl26BKPRiHr16pU6Xq9ePaSnp5d7jjl7wZH9mht/HI4UTjAJYG78CVs3gyxMI4Sw27/L3NxceHl5IScnRyoVAhHZh8cWJWDnqSuq1acBkPzOgAoDIM7aVyh5XjcMRkz57SDWHryAq4ay3XotrQZ1PV3xVOdQjOwebhezzA2FJny+LRnLE9KQcbXQrm6SdBrA070WYlsFYurAVnYzMzrvZiHGfr0LfyZfQaGtG3MLDQBXFw26hPvh4yfb22TlR3mqel/YkprvSWfsA5U+p7ybhXjxm91ISM5Cvn291HbHXvs3Z2bPn3f2pujzRIvwgNr4d98I9GgeUOUEGPaBRBXbdiITg5eou/n0Q9HB+IBpKO2CPfYV58+fR/369ZGQkFAq/emkSZPwxx9/YOfOnWXOyc/PR35+fsm/c3NzERISYlfPi+QYTQJNXlvjcPc6Wg1w8u2Kx5zIPinpA+1jhIKInIah0KRq8AMAxvZszA+iKrjrdZjzr2jM+ZfjfBnRu2gxplczjOnVzNZNcRh3uLlg2ciutm6Gw3DE9wWZ5w43FywdUfEeI0S2xM87IrKVt1YeVr3OX5LOY84jUfx+RuXy9/eHTqdDRkZGqeMZGRkIDAws9xxXV1e4urpao3lkYY62+qNY8SqQCbHNbd0UshDbTwEmIqcyeLG6eWFdtBq81JcfQkRERERERLIMhSYkZyrbEFiGSQAJJ6u/WTE5J71ej/bt22Pjxo0lx0wmEzZu3FhqRQg5H6NJYP7mFFs3w2wfb0nmXiBOjCtAiEg1llj98fGT0ZxdREREREREpMCXCaekyzYO8IB/bVfp73LTVh3Cxua9zGwZObsJEyZg6NCh6NChAzp16oSPPvoI165dw/Dhw23dNKqG21PO3p7S9+ONJxxy9Uex4lUgY+9pWip1qQZFmQU6hfli/hPt7CbdMynDV42IVBO34oCq9XHTSyIiIiIiIuW+3nFKuuy0+1qjc2M/NHvjd6nyKZnXYSg02cW+gmR/HnvsMWRmZmLKlClIT09HVFQU1q5dW2ZjdHIc983fhkPncksdKzAJnMu+idnrjmP2uuMWb8OLPRvjz5RM7D+bW3VhM83bnIx5m5NLHRMArhmM2Hw8E62nrUPr4DuwalwPi7WBLIOfVkSkCqNJYMW+86rUFerjipR3BjD4QURERERUCaNJIDHlMn5NOofElMtM30EAilbmn866IVVWqwG6NvWH3kWLJgG1pa/xZUKauc2jGmDs2LE4ffo08vPzsXPnTnTu3NnWTSIztZ22rkzww9p0GuClvs3x0/PdbNoOADh0Pg8dZ8bbuhmkEAMgRKQKpZtdHZ3eD0sHd0BEXQ+46TSordehV/MAHJoWiz9e7c20V0RERERkc1u3bsXAgQMRHBwMjUaDX375pdLyW7ZsgUajKfNIT09XvW1rD11At3c34YnPd2D8d0l44vMd6Ph2PNYcVGdSEjkuJemvereoW/Lda+rAVtLnrTzAvzMiZzfgo83IvVlo62Zg/hPtoNNqoNNq8MmT0bZuDjLzDHjrt8O2bgYpwBRYRCTNUGjC59uS8d9dZ5FfaEJkfS989Hg7uOt1ija7imzgCXe9Dr1a1UOvVlwGS0RERET26dq1a4iMjMQzzzyDhx56SPq848ePw9PTs+TfdevWVbVdaw9dwPNf7yszASnrWgFe+HY/nvs7G3EDWqp6TXIcKw+eky47NCas5P+7NvGHFoBJ4rxD53NhNAlOXCNyUr/t+xtH0q+rXu+4Xk2QbzTi061yq8ieuysMA9r+kx1kQNtgPPd3tqLzXXVazFN5g/alCacQN6AFUwE6CAZAiEjKW78dxtLbZhJtOFaUA9EFULT6Y1JsCzWbRkRERERkEf3790f//v0Vn1e3bl14e3ur3yAUpb16a+WRSu+/P92ahsgGPqUGjahmMJoEDkumq3HRatClsV/Jv3VaDfq0rIt1Ry5Wea5JAAknL6F78wCz20pE9sloEnj5R3X3eAWKUu6N79MMOq0GkQ18MPa/+1BR5kYNgAVPRmNA2+AyP4sb0FLR+UaTwPzNKapv0j74ix34/rmuKtdKlsAwFRFVqf3M+DLBj1spWRCp15W+ySYiIiIicjZRUVEICgpCnz59sH379krL5ufnIzc3t9SjMrvSsnAh52aVbZj080HuCVID7Ui9DKPky353RECZFRxDuoZVULqseZtOKGkaETmIhORL0v2IEmN7Ninpcwa0DcLJtweUpEZ31QJuLlq0DKqDJUM7IvmdAeUGP4opOV+n1eDFXo1Vfz47067AUCizZo5sjStAiKhSraf8jjyDeh366Lsac5k0ERERETmloKAgLFq0CB06dEB+fj4WL16Mnj17YufOnWjXrl2558yaNQtvvfWW9DUuXq06+AEAefmF2JFyGXc29ZeumxxfQsol6bK3pr8q1iXcD1oNKpxVfat9Z7OZBovICU2zwP4Wxas/bqXTaqqVGl3J+eP7NFc9DRbAVSCOgitAiKhCAz7arGrwo7wPPCIiIiIiZ9G8eXM899xzaN++Pbp27YolS5aga9eu+PDDDys8Jy4uDjk5OSWPs2fPVnqNunXcpNuzPSVTuiw5h3NXbkiVq2hlvk6rQYdQb6k6jCZgR8plJc0jIjtnKDQh5dI11ev98LEomwZLdVoNXuzJVSA1FQMgRFQuS2x4detyRyIiIiKimqBTp05ITk6u8Oeurq7w9PQs9ai0vjBfuLrI3VOvO5yuqK3k+P6+IvcdLrKBV4XfzV68W37SGoNsRM4lboX6e3+E+XlgUFR91etV6qW+zWGJEam4FQctUCupiQEQIirDaBIY/4O6H3pc/UFERERENVFSUhKCgtTbjFyn1aBtA2+psimZ1zkztQYxmgSSzmRLlQ32dq/wZ12b+EsPFsmuOCEi+2c0Cfy6/7zq9W6Y2FP1Os2h02ow//Eo1ev9Nek899yycwyAEFEZc+OPQ+2u29bLHYmIiIiIlMrLy0NSUhKSkpIAAGlpaUhKSsKZM2cAFKWvGjJkSEn5jz76CL/++iuSk5Nx6NAhvPTSS9i0aRPGjBmjars6hflKl/0yIU3Va5P92pF6GYWSX+Tq+1QcANFpNWgnmQbrfDYDIETOQkkfImvR0+3saizovqj66NOyrqp1FpoE0wHaOQZAiKgUo0lgwRZ1N4ZqHexpF8sdiYiIiIiU2LNnD6KjoxEdHQ0AmDBhAqKjozFlyhQAwIULF0qCIQBgMBgwceJEtGnTBj169MCBAwewYcMG3HPPPaq2q2tj+Y3NVx5QfzYv2SclG6Df2Tig0p838PGQqufA3zmc+UzkJL5SEDBvW78OGvlV3k8serod+rVWbwWkWj4f0hGjuodVWibUxxVtG1SekvJWXyZysoE9c7F1A4jIviQkX4JRxfvX2nodVo3rrl6FRERERERW0rNnTwhR8c3xsmXLSv170qRJmDRpkoVbBXQJ94NOW7QJdVWOXLgKo0nY1QxcsoxdaVlS5SraAP1Wla0QuZXBWDTz+c6m8kE5IrI/RpPAuiMXpcu/2q8l7mzqj7ybhRj79S4kpl6BCUXp9d68rxV6RdS168+d1+9tiVdiI/D5tmQsT0jD5WuF0Lvo0CnMF/OfaIc73FywPfkSnlq8U6q++CMX+VlrxxgAIaJS5m08oVpdei1weHo/1eojIiIiIqKiFEW9I+pKDVYVp+bgALVzM5oE9p++IlW2sg3Qi3Vt7I8Fm+UyA2xPyeTfF5GDmxt/XLqsi/afIOodbi5YNrKrpZplUXoXLcb0aoYxvcrfr7ZLuB9cNJBKCyYAzI0/gQmxzdVtJKmCKbCIqITRJLD7dLYqdbUM9MCJd+5VpS4iIiIiIiptSNfK03fcantKpgVbQvZASe7+jhJ7yBQP/MnYLbnyhIhsz1BowoLNJ9Dt3Y3o+HY8Ri7bhZzrBZgvGfAEgEFRwTVipYNOq8Gg6GDp8h9vSUbO9QKMWLoTHWfGo9t/NuGTzckwFEos1ySL4goQIiqhJOKvAZA0pS/Gf7sbfyZfgRGAq4sGXcL98PGT7XGHG7sXIiIiIiJLUTIz9dwVblTt7BIVbMBb1f4fQNHAX3SoD3afqnpVSfE+IDVhQJTIkU1feRhLtp8qdWzDsUxETl+vqJ5ZD7VVsVX2bdZDkfh5n9xeWiaBMr/L2euOY/a64xh+Z0NMHdjGEk0kCRyhJCIARas/lET8H4wOhpdHLYdd6khERERE5Mh0Wg2iGnpjj8QK7vPZDIA4OwG55R9uLtoq9/8o1inMVyoAwn1AiOzfXbM34UxW9T8LGgd4QO9ScxIK6V20aBJQG8mZ16pVz9LtZ7DhSAa2vdpbpZaREmb/xW7duhUDBw5EcHAwNBoNfvnll1I/F0JgypQpCAoKgru7O3r37o2TJ09Wt71EVA03DEa88tN+tJmyBo0mr0bY5NVo/voaPLDgT7y79qjkLXOR/zwcabF2EhERERFR1Rr4eEiVK56hT87rQvZ1qXID2gRJr9To2lg+oME0a0T2q/u7G1QJfgDAtPtaq1KPI5k6sJUq9Zy9ko+7Zm9SpS5SxuwAyLVr1xAZGYkFCxaU+/PZs2dj3rx5WLRoEXbu3InatWsjNjYWN2/eNLuxRGS+Ect2o8WUtfhxz3lcNRR9+REA8o0CSWdz8NnWNOm6alrEn4iIiIjIHtX3cZcqVzxDn5yT0SSw6uAFqbKBXm7S9XIfECLH99bKv3D2Sr4qdbloga41cKVX1yb+0KmU4e9M1g1MX3lYncpImtkjmP3798fMmTPx4IMPlvmZEAIfffQR3njjDQwaNAht27bFV199hfPnz5dZKUJEltdj9iZsPHZRtfpqYsSfiIiIiMjeKJmhn5h6yYItIVvakXoZBqNcWSXbdBTvAyKDq4yI7I+h0ISl28+oVt8LPZrUyL1+dFoNxvRsrFp9S7af4sboVmaRKdxpaWlIT09H797/5DXz8vJC586dkZiYaIlLElEFnlm6A6dVWuoI1NyIPxERERGRvekS7ge9Tq4sx6adV0KKfHArJlzZd7lOYb5S5bjKiMj+DF68Q7W6tBpgfJ9mqtXnaMb3aQ41Qz+Dv1DvtaGqWSQAkp6eDgCoV69eqeP16tUr+Vl58vPzkZubW+pBROZblXQOm46rexNaUyP+RERERET2RqfV4L62QVJl03OYjtpZnbsiN+FNr9NIb4BejPuAEDkmQ6EJO09dUa2+Dx+LqtFjQTqtBnMfVW8v3J1pV7gKxIrsKon/rFmz4OXlVfIICQmxdZOIHJbRJDDuuyRV66zpEX8iIiIiInsT5C23Efqavy4wRZGTumEolCrXK6Ku4gFM7gNC5JjiVhxQra7WwZ4YFFVftfoc1f3tGqBloNxnroy4FQdVq4sqZ5EASGBgIAAgIyOj1PGMjIySn5UnLi4OOTk5JY+zZ89aonlENcLc+ONQO5Zc0yP+RERERET2RiOZlONmoYkpipyQ0SSw5YTcyosOkvt53Ir7gBA5HqNJ4Nf951Wpq7Zeh1XjuqtSlzNY81IvuEumnqzKr0nn2WdaiUUCIGFhYQgMDMTGjRtLjuXm5mLnzp2IiYmp8DxXV1d4enqWehCRckaTwPzNKarWGebnwYg/EREREZGdiVGQ0ogpipzPjtTLyC+UG0Dzv8PVrGtwHxAix7Ij9TIku4VK6bXA4en9ql+Rkzn69r2opav+5OBCE/tMazE7AJKXl4ekpCQkJSUBKNr4PCkpCWfOnIFGo8FLL72EmTNn4rfffsNff/2FIUOGIDg4GA888IBKTSeiisyNPw61Y8gbJvZUuUYiIiIiIqoupiiq2RIVDJ4FermbdQ3uA0LkWL5KSKt2HS0DPXDinXtVaI1zOvn2AIT4mNen3mpb8kUVWkNVMTsAsmfPHkRHRyM6OhoAMGHCBERHR2PKlCkAgEmTJuHFF1/Es88+i44dOyIvLw9r166Fm5ubOi0nonIZTQILtqi7+mPR0+2Y+oqIiIiIyA4xRVHNJiSnvt3hqpNeyXG7LuF+qCU5enQ++6ZZ1yAidRhNAhuOyQ+qT+zbFBF1PeCm06C2XodezQNwaFos1rzUy4KtdA7bXr0bB6b0RWTwHdDrNHBz0aBnM38sHtJBuo7Nxxg0tgYXc0/s2bMnhKj4g1aj0WD69OmYPn26uZcgIjMkJF+CUaXvNFoAnzzdDv1aB6lTIRERERERqa5TmC92n7pSZbniFEV3NpWf0U/27UL2dalyfVsGmj2pTafV4O6Iulh3pOpB1RsFRrOuQUTq2JF6GUbJDWFdtBq80LMpXry7mWUb5cS8PGrh13E9Sh0zmgS0gNS+vCcv5sFoEpx0bGEW2QOEiGznrZWHFZXv2dQXrv/fz2oAuLlo0TKoDpYM7YiT7wxg8IOIiIiIyM4pSVGUmHrJgi0hazKaBNYezpAqG+hVvWwcHRrJ7TWz9UQmVxkR2dD2k/J9/KCoYA68W4BOq0GHRt5SZU0CSFDwmpF5zF4BQkT2x1BoQnLmNeny43o1wYTY5hZsERERERERWVqXcD/odYBBYvI9x6adx660LFw3yE31ru4Yp38duQ3UbxSYuMqIyIY2HUuXLjvrobYWbEnN9uLdzTB4yS6psvM2nUD35gEWblHNxgAIkYMxFJrw6daT+GJrCnJuCrhogSZ16+CV2Ags/CNZuh6tBhjfh8sciYiIiIgcnU6rwX1tg7Bi/4Uqy6bncI8GZ5GeK/9axoRXLyAR6Cm/gmR7SiYDIEQ2YDQJHM+QmxRbr44eehcmBrKUrk38pdNg7T2TzTRYFsa/dCIHMmPVETR743e8vz4Z2TeLtrsrMAFH06/imS93S+X9LTa2ZxN2rkRERERETiLI20Oq3Jq/LjBFkZO4dDVfqpx7LS26NJZLYVWRTmG+cHWR+/64Oy2rWtciIvMkJF+CbO/eJbx6fQJVjmmw7AsDIEQO4v752/DFn2mq1KUBV38QEREREVVl69atGDhwIIKDg6HRaPDLL79Uec6WLVvQrl07uLq6okmTJli2bJnF2wkAGsgNTt8sLEpRRI7vynWDVLm7mgVUe/KbTqtB2wbeUmUPnc9lkM3JnDp1CiNGjEBYWBjc3d3RuHFjTJ06FQZD6b/BgwcPonv37nBzc0NISAhmz55toxbXTEr2hP1XuxALtoQAKNpcftqqQxZsCTEAQuQARizbiYPnclWr78FobnRFRERERFSVa9euITIyEgsWLJAqn5aWhnvvvRe9evVCUlISXnrpJYwcORLr1q2zcEuBGAUz/LenZFqwJWQtqZl5UuWa1L1Dlet1CvOVKnejwIRdXAXiVI4dOwaTyYRPP/0Uhw8fxocffohFixbhtddeKymTm5uLvn37IjQ0FHv37sWcOXMwbdo0fPbZZzZsec2hZE9YrQboyjR1FlecBktGSuZ1GArl9nQi5bgHCJGdW5V0DhuPqbsU7j8PR6paHxERERGRM+rfvz/69+8vXX7RokUICwvD+++/DwBo0aIF/vzzT3z44YeIjY21VDMBFKUzcdEAhRIT789duWHRtpDlGU0CfybLBbK83Wupcs2ujf2xYHOKVNn0HP6NOZN+/fqhX79+Jf8ODw/H8ePHsXDhQrz33nsAgG+++QYGgwFLliyBXq9Hq1atkJSUhA8++ADPPvusrZpeY8StOCBdtn1Db06KtYLiNFi7TmVLlY9bcRDvPxpl0TbVVFwBQmTHjCaBcd8lqVpnROAd3OiKiIiIiMgCEhMT0bt371LHYmNjkZiYWOE5+fn5yM3NLfUwh06rQXSoj1TZC9wI3eHtSstCXr7cbGH/O1xVuWaXcD/pfUAu5cntT0KOKycnB76+/6wKSkxMxF133QW9Xl9yLDY2FsePH8eVK/L7lZJyRpPAin3npcuPU5CaiapHSRqsFfvOMX2ghXAUlMiOzY0/DrUXwP3vhW4q10hERERERACQnp6OevXqlTpWr1495Obm4saN8mfEz5o1C15eXiWPkBDz87LLpig6+HcOB1kcXHqufBAr0MtdlWvqtBr0bBYgVXbPaQ54O7Pk5GTMnz8fzz33XMmxivq/4p9VRK0gcE32wbrj0pufM/2VdSlJgyUAvL/umCWbU2MxAEJkp4wmgfmSy4tlRYd4wV2vU7VOIiIiIiIyX1xcHHJyckoeZ8+eNbuuro3lBrW4Ebrju3RVboWFp5uLdGBMhrteLpP65mMXGWRzAJMnT4ZGo6n0cexY6QHZc+fOoV+/fnjkkUcwatSoardBzSBwTZF3sxDDFiegyeTVaDR5NRb8IT921LtFXaa/siKdVoM+LetKl//kj1Q0mrwaLd9ci+FLdyHvZqEFW1dzcA8QIjs1N14+gi9DA+Cn5+9UsUYiIiIiIrpVYGAgMjIySh3LyMiAp6cn3N3Ln4Xv6uoKV1f1UhTpdRoYjFV/k9iekok7OQvYYV25bpAqF9PYT9XBzvo+cqtJDEaBHSmX+Tdm5yZOnIhhw4ZVWiY8PLzk/8+fP49evXqha9euZTY3r6j/K/5ZReLi4jBhwoSSf+fm5jIIUon75m/DoXPmr5IZGhOmYmtIxpCuYVh35KKic64XGLH5eCZaT1uHVkG1sXp8T8s0robgChAiO2SJ1R8LnmzHKH81LViwAI0aNYKbmxs6d+6MXbt2VVh22bJlZWbOuLm5WbG1RETqYh9IRFS1mJgYbNy4sdSx+Ph4xMTEWOX6Oq0GkQ28pMruTsuycGvIklIz86TKNal7h6rXlV1lBACJqZdUvTapLyAgABEREZU+ivf0OHfuHHr27In27dtj6dKl0GpLDynGxMRg69atKCgoKDkWHx+P5s2bw8en4v2JXF1d4enpWepB5WszbV21gh96nQZdGvup2CKS0SXcD7WqMQJ/+MI1tJ7yu3oNqoEYACGyQ2qv/njurjAMaBukYo01z/fff48JEyZg6tSp2LdvHyIjIxEbG4uLFyuO4nt6euLChQslj9OnT1uxxURE6mEfSEQ1VV5eHpKSkpCUlAQASEtLQ1JSEs6cOQOgaObykCFDSsqPHj0aqampmDRpEo4dO4ZPPvkEP/zwA15++WWrtbm+j4dUuUPnc5miyEEZTQJ/JmdKlfV2r6XqtYtWGcmV5Z+X8ygOfjRs2BDvvfceMjMzkZ6eXmpvjyeffBJ6vR4jRozA4cOH8f3332Pu3LmlVneQ+e6ctR5Xq5kOafRdjTkx1gZ0Wg2e79G4WnXkGUzo/u4mlVpU8zAAQmRnjCaBhQryN1ZGA+CTJ6MRN6ClKvXVZB988AFGjRqF4cOHo2XLlli0aBE8PDywZMmSCs/RaDQIDAwsedy+IRwRkaNgH0hENdWePXsQHR2N6OhoAMCECRMQHR2NKVOmAAAuXLhQEgwBgLCwMKxevRrx8fGIjIzE+++/j8WLFyM2NtZqbZZNUXSjwIRdXAXikHalZSEv3yRV1v8OddKrFdNpNbhPcnJdeo78Ru1k3+Lj45GcnIyNGzeiQYMGCAoKKnkU8/Lywvr165GWlob27dtj4sSJmDJlCp599lkbttw5vLXyL5zLKai6YCW0GmB8n2YqtYiUGt+nOaobejp75QamrzysSntqGgZAiOzMjtTLKJC7lwUAjOvVBIemxaJXU194uGjg5qJFy6A6WDK0I5LfGYABbYMt19gawmAwYO/evejdu3fJMa1Wi969eyMxMbHC8/Ly8hAaGoqQkBAMGjQIhw9X/kGVn5+P3NzcUg8iIluzRh/I/o+I7FXPnj0hhCjzWLZsGYCilH9btmwpc87+/fuRn5+PlJSUKvPrq01JiqL0nBsWbAlZSnqufGAh0EsuIKZEkLfcKqM1f13gKiMnMWzYsHL7QiFKv75t27bFtm3bcPPmTfz999949dVXbdRi52EoNGHp9jNVF6zCh49FcfWHDem0Gsx9NLLa9SzZfgqGQgWDhgSAARAimzAUmrBg8wnc+Z8NiHxrHe6btxWbjl6E0STw+oqD0vUUR/DvcHPB0hExODJzAI7N7I814+/C3S3q8sNNJZcuXYLRaCwze7levXqllvzeqnnz5liyZAl+/fVXfP311zCZTOjatSv+/vvvCq8za9YseHl5lTy48RsR2QNr9IHs/4iI1NMl3A+uLnLfAy7l5Vu4NWQJl67KvW6ebi7oFOar+vU1kvOYbxaasCPlsurXJ6pJJv90oNp1tA72xKCo+iq0hqrj/nYN0DJQLoBcmck/V/9voqZhAITIyqavPIxmb/yOOetO4lx2PnJuFOLQ+at45svdaPzaGpzKkp+FNbZnEwY57FRMTAyGDBmCqKgo9OjRAytWrEBAQAA+/fTTCs+Ji4tDTk5OyePs2bNWbDERkXqU9oHs/4iI1KPTatCzWYBU2T2nr1i4NWQJV64bpMrFNPazyPfFGAWbKHMjdCLzGU0C/0s6X6067nDVYdW47iq1iKprzUu9cIe+esPxvySd5+o6hVxs3QCimuSu2ZtwRkGAozIaMH+jtfj7+0On0yEjI6PU8YyMDAQGBkrVUatWLURHRyM5ObnCMq6urnB1VTdHLxFRdVmjD2T/R0SkLne93Ff9rScyYTQJTqpyMKmZeVLlmtS9wyLXL94I3WCsuizH6IjMl5B8CdV5C/m667Bvaj/V2kPqODS9P9rPjMflPLlg9u1MAkg4eQndm8tNdiCuACGymu7vblAt+AEAD7Wrzy8qVqLX69G+fXts3Lix5JjJZMLGjRsRExMjVYfRaMRff/1VapM4IiJHwD6QiMjxcCN052U0CfyZnClV1tu9lkXawI3Qiaxj/qYTZp87tGsIgx92bO8bfTC8ayOzz59Xjb+NmogBECIreGvlXzh7Rd38urMeaqtqfVS5CRMm4PPPP8eXX36Jo0eP4vnnn8e1a9cwfPhwAMCQIUMQFxdXUn769OlYv349UlNTsW/fPjz99NM4ffo0Ro4caaunQERkNvaBRESOhRuhO69daVnIy5fbANf/DsutruRG6ESWZTQJ7DmVLV1eqwHqe7thUmxznJjZH2/dzzEjezf1/lY4MbM/Xoltinp36BSdu/dMNvtWBZgCi8jCDIUmLN1+RtU6O4f5QO/C+KU1PfbYY8jMzMSUKVOQnp6OqKgorF27tmRT4DNnzkCr/ec1uXLlCkaNGoX09HT4+Pigffv2SEhIQMuWLW31FIiIzMY+kIjIsRRvhJ5fWPXgCDdCdyzpufIrKgK95FYCmUPpRuh3NpUPyhFRUforuVAnUM9Tj52v9bFoe8gy9C5ajOnVDGN6FaW47/LOBqTnVv25zDRYyjAAQmRhgxfvUL3O5SO6qF4nVW3s2LEYO3ZsuT/bsmVLqX9/+OGH+PDDD63QKiIi62AfSETkOIo3Ql935GKVZfecvoJRVmgTqSNLMmDl6eaCTmG+FmtHTGM/fLy54v0Nb7U9JZMBECKFlKS/eu/hKMs1hKxqzr8iMXjJLqmy8zadYABEEqeQE1mQodCEnaeuqFrngNaBXP1BRERERESVUroROjkGbw+9VLkHoy27Z2SXcD/Ukvxaej6b+4AQKWE0Cew5nS1VVqsBujLA6DS6NvGXHqzfd5ZpsGRxFJXIguJWHFC1Pq0GmP9kO1XrJCIiIiIi58ON0J1T1jWDVLkGPnJ7dJhLp9Xg7oi6UmWDvN0s2hYiZ7Mj9TJkx7XbN/S2aLCTrEun1aBDI2+pskYTsCPlsmUb5CQYACGyEKNJYMW+86rWOffxaH6wERERERFRlbgRunO6cl0uACJbrjrahcql2MrI4T4zREosTzwlXXbc3c0s1xCyiRcVvKZf7ThluYY4EQZAiCxkbvxxqLkQrU/LuhgYGaxijURERERE5KyKN0KXwY3QHUdqZp5UOY0V5s3l3iyQKrfmrwtM00IkyWgS2Hg0Q6qsi5bpr5yRkjRYm49dZP8qgQEQIgswmgTmb05Rrb5R3Rvh8yEdVauPiIiIiIicW/FG6DL2nFZ330KyDKNJ4M/kTKmy3u61LNwaQAO5KMvNQhPTtBBJ2pF6GQUmubLRIUx/5Yx0Wg3aN/KRKmswCvavEhgAIbIApas/XugZjkc6BKOOvugWspZWg/rebpgU2xwnZvbH6/e2slRTiYiIiIjIScluhM4ZpI5hV1oW8vLlRkb973C1cGuAmMZ+0mUTUy9ZsCVEziMhRf690jFMLg0dOZ5OCl7b7SlygfGaTO5uiIikGU0CC7bIr/5w0QIT+0ZAp9Vgzr+iLdgyIiIiIiKqSWQ3Qi+eQXonU6nYtfTcm9JlA73kXvvq6BLuB70OMBirLsv4GpGcXWlZ0mXvbCy3yo8cT9fG/lggmVlmt4K/mZqKARAiM9wwGDHlt4NYe/ACrhqK7uRqaTWo6+mKRn4eMCq4uXuhRxMuWSQiIiIiItUpGUBJTL3EAIidy5Lcq8XTzUXR7GFz6bQa3Nc2CCv2X6iybHqOfPCGqKYymgT2S6Yk1Os06KJgFRY5li7hfqilhVQ6tAN/58BoEhxbrARTYBEpNGLZbrSYshY/7jlfEvwAgAKTwLnsm9ieIh951WqA8X2aWaKZRERERERUwxXP0JfBGfr2z9tDL1Xuwej6VhsIC/L2kCrHjdCJqrYj9TIKJd8mvSLqcsDbiem0GtzTop5UWe4DUjUGQIgU6DF7EzYeu6hafWN7cvUHERERERFZRvEMfRleVtg0m6on+7pBqlxDX7mghBq4ETqRer5KSJMuO6RLI8s1hOzC4JhG0mW3Jas3VumMGAAhkvTM0h04nXVDtfo04OoPIiIiIiKyrHqSe0HsOyOXdoVs50zWNalysitF1KBkI3Ru1EtUMaNJIP6I3CC2i5bpr2qCLuF+0gP3vyVVnYqwJmMAhEjCqqRz2HRc3dkqD7Wz3rJkIiIiIiKqmS5ky+29sPVEJlMU2TGjSWDF/nNSZWVXiqihOE+9jPOSf4tENVFC8iVIbPcAAGgZVIfjSTWATqtBI3+5FX3nc27CUCj7F1TzMABCVAWjSWDcd0mq1zvrobaq10lEREREROpasGABGjVqBDc3N3Tu3Bm7du2qsOyyZcug0WhKPdzc3KzY2rLq+8itALlRYMKuNPn9DMm6dqVl4epNo1RZ39rWWwGi02pwd0RdqbI3CuTaT1QTzd90QrrswMhgC7aE7EnbBt7SZeNWHLRcQxwcAyBEVZgbf1w6Ci9rQOtA6F349iMiIiIismfff/89JkyYgKlTp2Lfvn2IjIxEbGwsLl6sOE2Jp6cnLly4UPI4ffq0FVtcVtfG/tJl03PUS/lL6krPlV89ESiZ9kwtHRrJpeLhKiOi8hlNArtOZUuXH9o1zHKNIbvycLsG0mV/3neOfWwFOAJLVAmjSWDBlhRV69RqgPlPtlO1TiIiIiIiUt8HH3yAUaNGYfjw4WjZsiUWLVoEDw8PLFmypMJzNBoNAgMDSx716tWzYovL6hLuB1cXuVQpl/LyLdwaMleW5Gvj6eaCTmG+Fm5Naf51XKXK3SjgRuhE5Xn+6z3SZYO93Dihtgbp2sRf0eD9C8t3W6wtjozvGKJKJCRfglHl4Oncx6OZq5GIiIiIyM4ZDAbs3bsXvXv3Ljmm1WrRu3dvJCYmVnheXl4eQkNDERISgkGDBuHw4cOVXic/Px+5ubmlHmrSaTXo2SxAquye09wI3V7Jbmz+YLT195oM9JRP88aN0ImKGE0Cmw9noPnrq7FecvNzALg/KsiCrSJ7o9Nq0KelXJpBAFh3NBPNX1+DTUcvcjXILRgAIarEWysr/7KiVJ+WdZmrkYiIiIjIAVy6dAlGo7HMCo569eohPT293HOaN2+OJUuW4Ndff8XXX38Nk8mErl274u+//67wOrNmzYKXl1fJIyQkRNXnAQDuehepcpuPccDEXmVdk9vYvIGP3Ia5auoU5iu9yujcFaZZI1pz8AKavr4Gw5fvQb7CrXG6N5EfDCfnMERhyrN8o8AzX+5Gk9fWYM3B8xZqlWNhAISoAoZCE5Izr6lW36jujfD5kI6q1UdERERERPYlJiYGQ4YMQVRUFHr06IEVK1YgICAAn376aYXnxMXFIScnp+Rx9uxZ1dsluxG6wSiYoshO7T0tt0H9letygRI16bQa6Y16L+TI72VC5IxmrTmCF77dB3NizXqdBl0ay+25Q86jS7gfapkxgi8AvPDtfsxac0T1NjkaBkCIKjD5pwOKyr/cpwm83f6Z9VJLq0F9bzdMim2OEzP74/V7W6ndRCIiIiIishB/f3/odDpkZGSUOp6RkYHAwECpOmrVqoXo6GgkJydXWMbV1RWenp6lHmpTshE6UxTZH6NJYNvJS1JlbZVtWXbfkYN/53CVEdVYaw6ex6db08w+f/RdjZlSvQbSaTV4vkdjs8//dGsa1hy8oGKLHI/cOliiGsZoEliRJL9MbFyvJhh/T3OMv6e5BVtFRERERETWotfr0b59e2zcuBEPPPAAAMBkMmHjxo0YO3asVB1GoxF//fUXBgwYYMGWVq149miBqeqy57Pta4a+odCEz7clY3lCGjKuFkKgaCanu16HTmG+mP9EO9zh5txDG7vSsnDNIJcnJyZcPtilpq6N/bFgc0qV5W4WFm2EfmdT27SzPDcMRkz57SDWHryAq4ai4EwtrQZ1PV3xVOdQjOwezk2nqdqMJoEx3+43+3ytBhjfp5mKLSJHMr5Pc8zfnAJzw8fjv9uP2NaBNTaAZtG7hGnTpuGtt94qdax58+Y4duyYJS9LJKX4Rvqr7am4mGeEVgP4eNTCsDvDcENhEkZ+CBEREREROZ8JEyZg6NCh6NChAzp16oSPPvoI165dw/DhwwEAQ4YMQf369TFr1iwAwPTp09GlSxc0adIE2dnZmDNnDk6fPo2RI0fa8mlAp9Xg7oi6WCex0e6NAoUJ6S1o+srDWLL9VJnjJgDXDEZsPp6J1tPWoWWgB9a81Mvq7bOW9Fy5oJSHXmez9Dhdwv2g12lgMFY9PLc9JdNuAiDDl+7C5uNlVz0VmATOZd/E7HXHMXvdcQy/syGmDmxjgxaSs3jx271mD14DwIePRdXYwWsq+hyf+2gkxv2gLFtNsQKTwNz4E5gQWzMnblt8mkSrVq2wYcOGfy7o4twzM8gxzFh1BF/8WXrZoVEAl64V4L31JxTV1SHUmx9CRERERERO6LHHHkNmZiamTJmC9PR0REVFYe3atSUbo585cwZa7T8zw69cuYJRo0YhPT0dPj4+aN++PRISEtCyZUtbPYUSHRr5SQVAtp7IhNEkbP4d567Zm3AmS27D7CPp19E0bjVOzrrXwq2yjay8fKlyA2w4u1en1SCygRd2n86usuzuNLn9TCyt9dR1yMsvlCq7dPsZbDiSgW2v9rZwq8gZGQpNWHMoo+qCFWhd3xODouqr2CJyRPe3a4BPtyXj8AXz9iteuDUF4/s0s/nnuy1YfA2fi4sLAgMDSx7+/vYR5aea6/7528oEP6pj/N1c/UFERERE5KzGjh2L06dPIz8/Hzt37kTnzp1LfrZlyxYsW7as5N8ffvhhSdn09HSsXr0a0dHRNmh1Wf51XKXK3Sgw2Xwj9O7/2SAd/ChWIICmcast1CLb8vbQS5WLUbDXiyXU9/GQKnfADvYBafraaungR7GzV/LR/d2NFmoRObMvE06Zfa5/7VpY9WJ39RpDDm31+J7wr13LrHMLjMLmn++2YvEAyMmTJxEcHIzw8HA89dRTOHPmjKUvSVShEct24uC5XNXqc9ECXe1k6S4REREREVFFAj3dpMvaciP0Z5buwNlsuRUPtysQQKspa1Vuke1lXTOoWs5S6vu4S5Uz2HgQLnra71L74ZTn7JWbeGbZLnUbRE5v5YFzZp3XKqg29rzZV+XWkKPb82ZftK7vada5XyaqNyHckVg0ANK5c2csW7YMa9euxcKFC5GWlobu3bvj6tWr5ZbPz89Hbm5uqQeRWlYlncPGY5dUrfOFHk1q5NIxIiIiIiJyLJ3CfOHqIvfdxVYpilYlncOm49UbGL9mMOK+edtUapF92Hta7vW4ct22AZCuClagJKaq+91c1vAlibhy08zox//bdCwTKw+cV6lFjic/Px9RUVHQaDRISkoq9bODBw+ie/fucHNzQ0hICGbPnm2bRtoRo0ngLzMm4s57NBKrx/dUv0HkFFa92B1zH4+C0hHJDUcv2nwFni1YNADSv39/PPLII2jbti1iY2OxZs0aZGdn44cffii3/KxZs+Dl5VXyCAkJsWTzqAYxmgTGfZekap1aDTc/JyIiIiIix6DTatC2gbdU2UPnc60+QGI0CYxV6TvbofO5+DXJvBnX9sZoEth2Ui5YYOu5eUUbocuVtcX426qkc9h8Qp3g3vjv9tfIQUQAmDRpEoKDg8scz83NRd++fREaGoq9e/dizpw5mDZtGj777DMbtNJ+JCRfUrT5+eIhHZDyzgDc366BxdpEzmFQVH0kvzMAnz/RTvockwASJD9TnInFU2DdytvbG82aNUNycnK5P4+Li0NOTk7J4+zZs9ZsHjmxufHHUb05HmWN7cnVH0RERERE5Dg6hflKlbtRYMIuK68C+dfCP1Wtb+IPB5xigHpXWhauGYxSZWPCbZueWafV4L62QVJl03NuWrg1pakZYAOKBhE/Wn9ctfocxe+//47169fjvffeK/Ozb775BgaDAUuWLEGrVq3w+OOPY9y4cfjggw9s0FL7MX/TCemyD7erj94t63GsiaTptBr0iQxClzAf6XPmKfibdBZWDYDk5eUhJSUFQUHlfyC6urrC09Oz1IOouowmgfmbU1StU6fl6g8iIiIiInIsSlIUpeco24S8OlYlncP+s+qmwC40CaeY5ZqeKxco8NDr0KWxn4VbU7Ugb7mN0Nf8dcGqAaox3+5Rvc6Pt6Q4RZBNVkZGBkaNGoXly5fDw6Ps65yYmIi77roLer2+5FhsbCyOHz+OK1euWLOpdsNoEthzOlu6/KyH2lquMeTUvhrRRbrsvrPZNarvAiwcAPn3v/+NP/74A6dOnUJCQgIefPBB6HQ6PPHEE5a8LFEpc+OPK1puKOOjx6IZkSciIiIiIofSJdxPeh+QS3nmbUSulCXSFRebtuqQReq1pizJ12FA60C7+I6qkcxIf7PQZLWN0A2FJqw9dFH1egWAufE1Yya1EALDhg3D6NGj0aFDh3LLpKeno169eqWOFf87PT29wrqdeT/gHamXpdO9NQ7wgN7FqvPUyYnoXbRoElBbqqzRBKv1v/bCou+sv//+G0888QSaN2+ORx99FH5+ftixYwcCAgIseVmiEkaTwMI/1F390btFXQyMLJvvkoiIiIiIyJ7ptBr0bCb3fXzPaevM2LZEuuJiKZnXYSi0VO3W4e2hr7oQgBgFq3ssKUbBKpTtKZkWbMk/Bi/eYbG6P/kj2aFnUk+ePBkajabSx7FjxzB//nxcvXoVcXFxqrfBmfcDXp54SrrstPtaW64hVCNMHdhKuuxXO05ZriF2yMWSlX/33XeWrJ6oSjtSL6NAxfvd3i0CsHhoR/UqJCIiIiIisiJ3vdwwwOZjF2E0CYuuKjAnXXGLwNo4mn5NuvzgL3bg++e6Km2a3ci6ZlC1nKV1CfeDiwYolIgJ7LbCPjOGQhN2nlIWzAvxdsPZbLnUY4Wmog2Fuzd3zIm+EydOxLBhwyotEx4ejk2bNiExMRGurq6lftahQwc89dRT+PLLLxEYGIiMjIxSPy/+d2BgYIX1x8XFYcKECSX/zs3NdYogiNEksPFoRtUFAbhoga5N7SOISY6raxN/aAGpSQXW+Iy3JxYNgBDZ2py1R1Wr6+PHo3BfVH3V6iMiIiIiIrK2+j7uUuUMRoEdKZdxpwUH5ZSmK/Z01eL3l3piwnf7sSLpvNQ5O9OuwFBoctjUMntPywUJrly3jwCITqtBdKgPdksEHQ78nWPxATilqz/ujgjA50M6ovFra6TPmbbqEDY276W0aXYhICBAKkvLvHnzMHPmzJJ/nz9/HrGxsfj+++/RuXNnAEBMTAxef/11FBQUoFatWgCA+Ph4NG/eHD4+FW/Q7OrqWiaw4gyUTMiNDvGuMQPRZDk6rQbtG8n1v9b4jLcnjnkHQCTBUGhC0t/yuSPH9WqCEzP745XYpqjv7Qovdxe0Dq6DJUM7IuWdAQx+EBERERGRw1OyEbolUxSZs/pjz5uxAID//CtS0XlxKw4qKm8vjCaBbZIbudvT2GmnMF+pcsUDcJaidPWHl5sOS4Z1gk6rwbhejaXPc4ZUa1Vp2LAhWrduXfJo1qwZAKBx48Zo0KABAODJJ5+EXq/HiBEjcPjwYXz//feYO3duqdUdNUlCitx7FwA6Sr5niKoi2/8C1ktDaA8YACGHZig0YcHmE4h5Zz0i3liDdtPXY/LPB3HDYFQ000MDYHyfZtC7aDGmVzNsn9wbB6bGYtW4u3B3i7qMxBMRERERkVMoTlEkw5IpipSu/hjQOrBkFYfeRYvOjSqeUX67X5POO+Q+DbvSsnDNYJQqGxNuP7N47SXIpnT1x+43+pb8//g+zSW3cy/iqEE2NXl5eWH9+vVIS0tD+/btMXHiREyZMgXPPvusrZtmE7sU9J93NnbMFGpkf5T0v9ZIQ2gvmAKLHNb0lYexZPupUsduFhbgu91n8d3us4rqeqhdfQY5iIiIiIjI6dlDiiKjSWDBFvnVHxoA859sV+rY8pFd0OyN36XOLzQ5ZqqP9Fy5fSg89Dp0UbD5uKXZwz4gSld/dA7zKZUmTafV4MVejTFPcpXSr0nnMftfkTVmXKFRo0YQouwL3LZtW2zbts0GLbIvRpPA/tNyf396ncau3r/k2LqE+6GWFlLp16yRhtBecAUIOaQeszeVCX5Ux6yH2qpWFxERERERkT2zdYqihORLMCpYkPFiryZlBmj0LlpENfCUruPLxDT5C9qJrLx8qXIDWgfa1QBWcZBNRvEAnNqUrv5YPqJLmWPj+zSXPr84yEYEFO3/IRMABIBeEcw6QurRaTW4p0U9qbKWTkNoTxgAIYdz37w/cDrrhmr13T7Tg4iIiIiIyJnZOkXRWysPS5fVaorSFZfnlX4tpOvZdCzT4dJgeXvopcrFKHg9rcWWQbbqrv4optNqENuyrnQ9jhhkI8tQsv/HkC6NLNcQqpEGxzSSLltT9gHhqC85lN/2/Y1D5/NUrbO8mR5ERERERETOypb7gBgKTUjOvCZdfmzPsqs/iil5Ho44Qz/7ukHVctZkyyDb5J8OKCpf2ZjAkK5h0vU4YpCNLEN2/w+mvyJLsJe9vuwJAyDkMIwmgfE/KLuRqQpXfxARERERUU1jyxRFSlITVbb6Ayh6HoOig6Xrc7QZ+mey5AJFsitFrMlWA3BGk8CKpPPS5asaE3D2IBupT8n+H5ENvJj+ilRnD2kI7Q1HfslhzI0/DrXfklz9QURERERENZEtUhQpTU1U2eqPYrMeipSuz5Fm6BtNAiv2n5Mqa48rQGw1ADc3/rii8lWNCSgNsn2145Si65PzUbL/R0fJfphIKVvv9WVvGAAhh2A0CczfnKJqnZ0aeXP1BxERERER1Ui2SFH0ZcIp6bIaVL76o5jeRYtQX3epOh1phv6utCxcvWmUKutb2/5WgADWH4AzmgQW/iE/biCbEUJJkG3zsYsOE2Qjy1Cy/8edjQMs2BKqyWy915e94egvOQRLrP74emSMyjWSs1uwYAEaNWoENzc3dO7cGbt27aq0/I8//oiIiAi4ubmhTZs2WLNmjZVaSkSkPvaBRFRTOWv/Z4sURV8rmB3/YHSwdGqYpxVsIuwoAz3puTelywZ6yQWArM3aA3A7Ui+jwCRfXjYjhN5Fi8YBHlJla8psaqoY9/8ge8B9QEpjAITsntEksGCLuqs/RnQL4+oPUuT777/HhAkTMHXqVOzbtw+RkZGIjY3FxYsXyy2fkJCAJ554AiNGjMD+/fvxwAMP4IEHHsChQ4es3HIioupjH0hENZUz93/WTlFkKDThdNYN6fL/eVh+1v3Qro2kyzrKQE9WXr5UOU83F+mVFtamZADu3BX5v42KfJUgv8dL4wAPRWMC/VoHSZd1lCAbqc9oEtgrmeaP+3+QJSn5jN9/NtvpV65xBJjsXkLyJRhVfB+2beCJN+9rqV6FVCN88MEHGDVqFIYPH46WLVti0aJF8PDwwJIlS8otP3fuXPTr1w+vvPIKWrRogRkzZqBdu3b4+OOPrdxyIqLqYx9IRDWVs/d/1kxRFLfigHTZUF93RYPTSmboO8pAj+zG5g9G17fbQVSdVoOoht5SZc9nVy8AYjQJbDhafmCyPNPua62ofiWrWRwlyEbqS0i+BNlFSNz/gyxN9jO+0AQknJRP3eaIGAAhu/fWysOq1TWiWyh+G9tdtfqoZjAYDNi7dy969+5dckyr1aJ3795ITEws95zExMRS5QEgNja2wvJERPaKfSAR1VQ1of+zVooio0ngf/vOS5d/ukuo4mvIztB3lIEe2Y3NG/rKBX5spYGPXPuqu8poR+pl6YmTWg3Qtan83z5QtJqlluQImpqbupNjmb/phHRZ7v9BlqbkM36egr9dR8QACNk1Q6EJyZnXpMu/0CMcr8Q2RWAdF+gA1NJqUN/bDZNim+PEzP54U+EsDyIAuHTpEoxGI+rVq1fqeL169ZCenl7uOenp6YrKA0B+fj5yc3NLPYiIbM0afSD7PyKyRzXhHtBaOcKVzIoGgKFdwxRfw9kGes5kyX0Pll0pYiv1feT2J6nuKqM5a49Kl23f0FvxqhmdVoN7WtSruiC4D0hNZTQJ7DmVLVVWpwX3/yCL6xLuB9mubu8Zx1gdaS4GQMiuDV68Q7qsVgNMjI3AmF7NsOP1WKT8516cfGcAtk++By/0asI9P8juzZo1C15eXiWPkJAQWzeJiMgq2P8RUU1myz5QSYqi6sxqV7KqP7KBp1nf3ZQM9Oyz8zRYRpPAiv3npMrKrhSxFSWBqa92nDLrGoZCE5L+lg8cjru7mVnXGRzTSLos9wGpeZQEetuFKA/CESml02rQIdRbqqxJOMbqSHNxRJhsylBowoLNJ9Dl7XUIm7wajSavRuO41Yievh7//jEJOyU3jwKAsT2b8AOELMLf3x86nQ4ZGRmljmdkZCAwMLDccwIDAxWVB4C4uDjk5OSUPM6ePVv9xhMRVZM1+kD2f0Rkj2rKPaBsiiJzZ7UrXdU/KbaF4msAygZ6jCbY9Qz9XWlZuHrTKFXWt7Z9rwBRsspo87GLZgWmlOwvY076q2JKnsu6wxWv+iLnpCTQa24QjkipFxX8rTnC6khzMQBCNvP26iNo9sbvmLPuJNKvFqL4NscogCvXC/DTXrkZLwCgATC+Dz9AyDL0ej3at2+PjRs3lhwzmUzYuHEjYmJiyj0nJiamVHkAiI+Pr7A8ALi6usLT07PUg4jI1qzRB7L/IyJ7VFPuAWVTFAHmzWpXsqpfr9NUKy2MkoEee56hn557U7psoJf862cLOq0G0aE+UmXNCbIZTQIrFOwvU51N45U8l5TM6zAUKkn8Ro5MSaC3OkE4IqW6NvGHbI+3+7R9r46sDgZAyCZGfbUbn29LU62+B6ODufqDLGrChAn4/PPP8eWXX+Lo0aN4/vnnce3aNQwfPhwAMGTIEMTFxZWUHz9+PNauXYv3338fx44dw7Rp07Bnzx6MHTvWVk+BiMhs7AOJqKaqCf2fkhRFSme1GwpNilb1j76rcbW+13Vt4i89yFGdPU0sLSsvX6qcp5sLOoX5Wrg11aekjUoDU3Pjj0PJcN2sh9oqqv92Sp7LlwnqjXmQfeswc710WXP2oCEyl06rQfN6taXL95q9sepCDogBELK6VUnnEH/koqp1/ufhSFXrI7rdY489hvfeew9TpkxBVFQUkpKSsHbt2pJNLs+cOYMLFy6UlO/atSu+/fZbfPbZZ4iMjMRPP/2EX375Ba1bt7bVUyAiMhv7QCKqqWpC/9cl3A+1JEcGlM5qV5KaSI1V/TqtBu0byc3Qr86eJpYmu7F5dVYzWJOlgmxGk8DCP1Kky5u7v8ytlDyXlQfkV6aQ4+r6TjxyJVPWAUx/RdZ3d0TFaThvdyY7H13fkQ/oOQoXWzeAahajSWDsd0mq1tk5zIcbnJNVjB07tsLZe1u2bClz7JFHHsEjjzxi4VYREVkH+0Aiqqmcvf/TaTW4p0U9rD2cUXVhFM1qH3VX4yrLKU9NpM6q/k5hvtgtseqkON3SnXaYikZ2Y/OGvnL7t9hacZCtQCJ2Vhxkk/mOvyP1slSdxczdX+ZWXcL9oNMW7SNTlSMXrsJoEg4RpCLztJzyO64b5P8Imf6KbOHOpv74REGw+HxuAVq+uQZHZgywYKusi6PGZFVjvt2jep3LR3RRvU4iIiIiIqKaYnBMI+myX+84LVVOaWoitVb1K5mhb6/7gMiuAJEtZ2vFQTZZsqmj5qw9Kl1ndfeXKabTatA7oq5U2UKT8j1NyHG0fHONouAHADwQxfTtZH1KVnoWu14g0HLK75ZpkA0wAEJWYyg0Ye0hdVNf9W9Vj6s/iIiIiIiIqqF4VruM01k3qkyDZTQJLNhi3dRExbqE+8FFcnzRXvcBSUy5JFVOdqWIPVA7yGYoNCHp71zpOqu7v8ythnQNky6bmCr3WpJjuXPWelwvUJ5Cj+nbyRZ0Wg2e71H1ys3bXTeY0P3dTRZokfVx5JisZvDiHarWpwHw8VPtVa2TiIiIiIioplEyqx0A4lYcrPTnCcmXYFQwNqhGaqJiOq0G0aGOuw+I0SSw+q8LVRcE4FvbMVaAAOoH2ZSML6ixv8ytuoT7Qa+TK2tnf16kgrdW/oVzOQWKz+vUyJsTeMlmxvdpblYQ4OyVG5i+8rDq7bE2vvPIKgyFJuyUyMOqxLwnorl0kIiIiIiISAVKZrX/mnS+0sDBKz/Jb36uVmqiW3UK85UqV7wPiD3ZkXoZNyQ3tgj0crdwa9SjZpBN6fjCQ+3U3Sxep9XgvrZBUmW93Gupdl2yPUOhCUu3nzHr3K9HxqjcGiJ5Oq0G8x6PMuvcJdtPVRmUtncMgJBVLNsul8NTVp+WdTEwMljVOomIiIiIiGoqJTP0K9vbYFXSOaTn5ktfV83URMUceR+QRMmAzB2uLtKBHnuhJMi2Yt+5CoNsSrNLzHqoraLyMupJBp/2nVF3IijZlrmZTUZ0C+PqD7K5+6Lq454I+c/HWw3+Qt2sPtbGdx9ZxRd/qhcAGdW9ET4f0lG1+oiIiIiIiGo6pTP0Z68ruwG10SQw7rsk6Tq0GnVTExVTsg/IuSs3VL9+dQjJreO7NfVzuIwISoJsAsDc+BNljitd/dE5zMciA88Xsm9Kldt87KLdpVkj85ib2aRtfU+8eV9LC7SISLkvhnVGm+A6is/bmXbFoVeBMABCFmcoNCHjqvwMoM+fbIfmAe4ovpXTaYBgLzdMim2OEzP74/V7W1mmoURERERERDWYkhn6B/7OLTMYMjf+OJQMj4zt2cQig/g6rQZRDb1Vr9cavCVTJrVvKLfPiT1RGmT7eEtymeDBvXP/UHTN5SO6KCovq76P3AoQe0yzRuaJWyGf2q/YPRH++O3F7hZoDZH5Vo67C/co6IuLVbX/lz1jAIQsTskSwcYBHujTNgjrJt6NtP/ci1P/uRcps+5FQtw9eKFXEy4ZJCIiIiIishAlKyeA0ikxjCaB+ZtTpM9Ve2Pq2zXw8ZAqdyFHbia/tfjWdlW1nL1REmQzidKrQFYlncPJzOvS51tq9Qfg2GnWSDmjSeDX/ecVnTPv0Sh8MayzhVpEVD1fDOuIuY9FKTqnqv2/7JmLrRtAjs9QaMLn25KxPCENGVcLoQHgrtehU5gv3n8kStESwWn3tbZcQ4mIiIiIiKhCOq0Gg6KD8fM+uYG+4pQYehct5sYfl0zeVOTB6GCLpnCSnaF/8O8cGE3CbtJJJaZckiqXfd1g4ZZYRpdwP9TSApL7vGPe5uSSQJmS9GqA5VZ/AP8ECwsl/uh3p2VZrB1kHTtSL0u91sXmPhaF+6PrW65BRCoYFF0fGgGM+yFJqnzx/l93NjVvHxFb4nR6qpa3Vx9Bszd+x5x1J5F+tRACgAnANYMRm49not3MeOm6tBqgqwO+iYiIiIiIiJzFrIciFZXvMGMdjCaBeQpWfwDAfx5Wdh2lZGfo3yw02U2KIqNJYPVfF6TK+tbWW7g1lqHTavB8j8aKznlkYQLGfLtXUXo1S67+AIqeR3SoXBqyA/8fZCPHlSAZmASAUD93DGLwgxzE/e3qo5Gv3IQBwHFXtDEAQmYb9dVufL5Nvc3NH4iy7AwgIiIiIiIiqpzeRYvOjeT3l8jNN6Hxa2sUXWNA60CLpzfuEu4HvU7u+6W9DOjsSL2MG5JLIwK95Aes7M34Ps2h5Jv/vrPZWHsoQ9E1LLn6o1inMF+pctwHxPGtPSQXmASAdx5oa8GWEKnv7Yfk/2YddUUbAyBkllVJ5xB/5KKqdVp6BhARERERERFVbflIyw4ez3+ynUXrB4pm6Ec28JIqay8DOomSg+R3uLpID77bI51Wgxd7KVsFooSlV38U4z4gNYOh0IQUyb1n9DoNujT2s3CLiNSlZP8vR13RxgAIKWY0CYxVmHuzKta6QSEiIiIiIqLKKV0FosRDFt7741b1JTdCt5cBHSG5i0q3pn4Onz1B6SoQJayx+gNQNmh47soNyzaGLObLhFPSZXtF1HX49ybVPEpS+jnqijaOOJNiY77do3qd1rpBISIiIiIioqpZahWINVf+y26Ebi8DOt7utaTKtW9omeCUNVlqFYg1J1cqGTS8kHPTwq0hS1l58Jx02SFdGlmuIUQWpGRVoSOuaGMAhBQxFJqw9pC6qa/6t6rH1R9ERERERER2RO+iRb/WdVWt85k7G1n1u5+jpSjyre2qajl7N75Pc9UHpaw9uVJ20PCgnawyqq7Vq1ejc+fOcHd3h4+PDx544IFSPz9z5gzuvfdeeHh4oG7dunjllVdQWFhom8aqwGgSOHwuV6qsi5bpr8hxKfm8tJe0kUpw1JkUGbx4h6r1aQB8/FR7VeskIiIiIiKi6lvwZAfV6qp7hx5TBrZSrT4ZXcL9UEty1ON8tu1n6GdfN6hazt7ptBrMezxKtfqsHWAD5AcNbxaa7GKVUXX8/PPPGDx4MIYPH44DBw5g+/btePLJJ0t+bjQace+998JgMCAhIQFffvklli1bhilTptiw1dWzI/UyjJJxq7sjApj+ihyWks9Le0kbqQQDICTNUGjCzlNXVK1z3hPR/IAgIiIiIiKyQzqtBh+rNECd+FpvVepRQqfV4O4IuVUsNwqMFm5N1c5kXZMq5+2ht3BLrOe+qPqIDvGsdj0hvu5WD7ABRYOGep3cmIY9rDIyV2FhIcaPH485c+Zg9OjRaNasGVq2bIlHH320pMz69etx5MgRfP3114iKikL//v0xY8YMLFiwAAaDYwbtElIuSZcdGhNmwZYQWZZOq8E9LepJlbWXtJFKMABC0tRe/dG7RV0MjAxWtU4iIiIiIiJSz31R9XF38+qldVn0dDubTXzr0Eiu7VtPZNp0RqvRJLBiv9xeA86yAqTYT893q9b5Ph4u2DbpbpVao4xOq0FkAy+pso6YNqbYvn37cO7cOWi1WkRHRyMoKAj9+/fHoUOHSsokJiaiTZs2qFfvn0HU2NhY5Obm4vDhw7ZodrXJbl6v1zH9FTm+wTGNpMs6WkCXARCSovbqj94tArB4aEfV6iMiIiIiIiLLWDK8Cxr6uJl17qKn26Ff6yCVWyTPv47cfhk3CmybomhXWhau3pRbheJb23lWgABFQYRFT7cz61xfdx32T4lVuUXK1PfxkCrniGljiqWmpgIApk2bhjfeeAOrVq2Cj48PevbsiaysosBOenp6qeAHgJJ/p6enV1h3fn4+cnNzSz3shRByr1dkAy9mNyGH1yXcDy6Sf8aywUF7wQAISYlbcUC1uj5+PAqLh3ZSrT4iIiIiIiK1ZWVl4amnnoKnpye8vb0xYsQI5OXlVXpOz549odFoSj1Gjx5tpRZb1tZX70Gb+vKpiu6opUHKOwNsGvwAgEBP+cCNLWe0pufK70ES6OVuwZbYRr/WQVj0dDsoGUJuFVQb+6b2s1ibZNX3kXs97DFtzOTJk8v0Wbc/jh07BpPJBAB4/fXX8fDDD6N9+/ZYunQpNBoNfvzxx2q1YdasWfDy8ip5hISEqPHUVHE+W26QN9jb+d6TVPPotBpEh/pIlb2QY/t9s5RgAISqZDQJrNh3Xrp85zAfpLwzAEsHd0CroDoIuEOP1sGeWDK0I1LeGYD7oupbsLVERERERETV99RTT+Hw4cOIj4/HqlWrsHXrVjz77LNVnjdq1ChcuHCh5DF79mwrtNY6Vr7YHXMfj6pykHpo1xAcmjHALmZEdwrzhavklFZbpijKysuXKufp5oJOYb4Wbo1t9GsdhOR3BqBfy6rz0M97NBKrx/e0fKMkyG6EDgCJqfJ7SljDxIkTcfTo0Uof4eHhCAoqCmS2bNmy5FxXV1eEh4fjzJkzAIDAwEBkZGSUqr/434GBgRW2IS4uDjk5OSWPs2fPqv00zWI0CRz4O0eqrGwQjMjeyX6+HHSwFW0u1rjIggULMGfOHKSnpyMyMhLz589Hp05cAWBPDIUmfL4tGcsT0nD5WiH0Ljp0CvPF/Cfa4bM/kqHkT3r5iC7QaTXo1aoeerWS20CHiIiIiIjIXhw9ehRr167F7t270aFDBwDA/PnzMWDAALz33nsIDq54L0MPD49KB/sc3aCo+rivbTC2Hr2Id9cdQWrmdQiNBnU9XfFU51CM7B4OvYv9zLXUaTVo28AbuyVSOh86nwujSdgkcCO7sfmD0fXtIrBkKTqtBouGdCg1RnEprxAuOi3CA2rj330j0KN5gF39Doo2QgcMEhnM7G28MCAgAAEBAVWWa9++PVxdXXH8+HF061a0Z0tBQQFOnTqF0NBQAEBMTAzefvttXLx4EXXr1gUAxMfHw9PTs1Tg5Haurq5wdZVLVWdNO1Ivw2CUe8HubFz175DIEXRt7I8Fm1OqLHezsCht5J1N5QPAtmTxAMj333+PCRMmYNGiRejcuTM++ugjxMbG4vjx4yUdItnW26uP4PNtaaWOFRiM2Hw8E62nrVNUV2QDT7u62SUiIiIiIlIqMTER3t7eJcEPAOjduze0Wi127tyJBx98sMJzv/nmG3z99dcIDAzEwIED8eabb8LDQ26PAEfhaBPeOoX5SgVAbhSYsCstCzE22MxYdmPzhr7O9bdUEb2LFmN6NcOYXs1s3ZQq6bQa3Nc2CCv2X6iybLqDpY0p5unpidGjR2Pq1KkICQlBaGgo5syZAwB45JFHAAB9+/ZFy5YtMXjwYMyePRvp6el44403MGbMGLsMcFQlIUVutY6bi5YboJPTKAroaqSCf9tTMh0mAGLxkeoPPvgAo0aNwvDhw9GyZUssWrQIHh4eWLJkiaUvTRJGfbW7TPCjOibFtlCtLiIiIiIiIltIT08vM2HPxcUFvr6+lW7m++STT+Lrr7/G5s2bERcXh+XLl+Ppp5+u9Fr2vAGws1CSoig9xzYbu57JuiZVTnalCFlXkLdcYGrNXxccKm3MrebMmYPHH38cgwcPRseOHXH69Gls2rQJPj5FewbodDqsWrUKOp0OMTExePrppzFkyBBMnz7dxi03zy7JlHhtuQE6ORGdVoPIBl5SZW2ZNlIpi64AMRgM2Lt3L+Li4kqOabVa9O7dG4mJiZa8NElYlXQO8UcuqlafXqdh1JuIiIiIiOzW5MmT8e6771Za5ujRo2bXf+seIW3atEFQUBDuuecepKSkoHHjxuWeM2vWLLz11ltmX5Oq1iXcD64uGuQXVj3wfElyLw41GU0CK/afkyoru1KErEsjuX27o6WNuVWtWrXw3nvv4b333quwTGhoKNasWWPFVlmG0SSw/3TVq8YAIMjLzcKtIbKu+j4e2H06u8pyB/5/HxBHCABadAXIpUuXYDQaUa9e6WWx9erVK3fWDGe+WI/RJDD2uyRV6xx9V2OH+KMnIiIiIqKaSXbD38DAQFy8WHqyWGFhIbKyshTt79G5c2cAQHJycoVl7HUDYGei02rQs5lcjv49koOeatqVloWrNyU2kADgW5srQOyRkrRp21MyLdgSUsOO1MuQiJcC4Abo5Hxk/6YNRoEdKZct3Bp1WGUTdFmc+WI9Y77do2p9GgDj+9h/bk4iIiIiIqq5ZDf8jYmJQXZ2Nvbu3Yv27dsDADZt2gSTyVQS1JCRlJQEAAgKCqqwjL1uAOxs3PVywx9bT2RafUZreq78vhCBXhxstUddwv1QSwsUmKouez7bMfcBqUlk9/8AuAE6OR/ZjdABx9kHxKIrQPz9/aHT6ZCRkVHqeEZGRrmzZjjzxToMhSasPaRe6isAGNuTqz+IiIiIiMg5tGjRAv369cOoUaOwa9cubN++HWPHjsXjjz+O4OBgAMC5c+cQERGBXbt2AQBSUlIwY8YM7N27F6dOncJvv/2GIUOG4K677kLbtm1t+XQI8jNaizdCt6YsybRbnm4u6BTma+HWkDl0Wg3ujqhbdUEANwrkVvuQ7cj2AUwFT86oS7gfXCSHeB1lHxCLBkD0ej3at2+PjRs3lhwzmUzYuHEjYmJiypR3dXWFp6dnqQepb/DiHarWpwHwUt/mqtZJRERERERkS9988w0iIiJwzz33YMCAAejWrRs+++yzkp8XFBTg+PHjuH79OoCi778bNmxA3759ERERgYkTJ+Lhhx/GypUrbfUU6Bb2vBG67MbmD0bX58RDO9ahkdxAePEqI7JPSvb/iOQG6OSEdFoNokN9pMoW7wNi7yyeAmvChAkYOnQoOnTogE6dOuGjjz7CtWvXMHz4cEtfmsphKDRh5yl1c5p+9HgUO3wiIiIiInIqvr6++Pbbbyv8eaNGjSDEP1/6Q0JC8Mcff1ijaWQGe94IPeua3MbmDXw8LNwSqg7/OnKp7G4UOO5G6DWBkv0/OnJFFjmpTmG+2C0xfly8D4i992cWXQECAI899hjee+89TJkyBVFRUUhKSsLatWvLbIxO1qH26o829T0xKKq+qnUSERERERERqcmeN0Lfe1ouhciV63KBErKNQE836bLcCN1+cf8PImWrJh2hP7PKJuhjx47F2LFjrXEpqoTaqz8a+rph5YvdVauPiIiIiIiIyFJkN0LffOyi1TZCN5oEtp2UG3Bl4gX71inMF261tLgpsRM6N0K3X9z/g+iffUBkVkM5wj4gFl8BQvZDzdUfw+9siK2T7lGtPiIiIiIiIiJLkt0IvTilhzXsSsvCNYPcptgx4fadYqSm02k16CGZBoYbodsno0lgr+TEYe7/Qc5MyT4g+89m2/0+IAyA1BBKV390auSNpYM7IKKuB/QaoJZWg/rebpgU2xwnZvbH1IFtLNhaIiIiIiIiInUpSemRmCqfBqc60nPlVgJ46HWcbe4AuBG6Y0tIvoSq1+8U4f4f5Ow6Sf6NF5qABMmVjLZilRRYZHtxKw4oKv/1yBjoXbTo1Yp7tRAREREREZHj6xLuB70OkFlwYa2x6UtX5TZc7986kLPNHQA3Qnds8zedkC7L/T/I2XVt7I8Fm1Okys7bdALdm9vve4IBECdhKDTh823JWJ6QhoyrhRAoWt7jrtehYyMfbDkhH4nrHOYDvQsXBxEREREREZHz0Gk1uK9tEFbsv1Bl2fQc6+zRILuxeT0FG2yT7SjdCJ0BEPthNAnsOpUtVVanBVdkkdPrEu4HrUZuQsCe09lW2zvLHBzldgJvrz6CZm/8jjnrTiL9/4MfAGACcM1gVBT8AIDlI7qo3kYiIiIiIiIiWwvy9pAqt+avC1ZJUaSRHCuSLUe21SnMF64uci/WuSs3LNwaUmJu/HHpsu1CvO12oJdILTqtBh1CvaXKCgBz4+VXUFkbAyAObtRXu/H5tjTV6ots4MnVH0REREREROSUNJAbtLxZaLLKRujp2XKD4N7utSzcElKDTqtB2wbeUmUvWGmVEVXNaBKYL5nqBwDG3d3Mgq0hsh8vKvhb/3hLst3ubcSRbge2Kukc4o9cVLXOSbEtVK2PiIiIiIiIyF7EKEhbY+mN0I0mgTWH0qXK+t8ht7cE2Z7sxsEH/86x28HCmmZu/HHIvhJaDdCVqcuohujaxF86eGAS9rsKhAEQB2U0CYz7LknVOvUuWuYwJCIiIiIiIqdVvBG6DEuPTe9IvYwbBSapsoFe7pZtDKmma2O5wXFrrTKiyhlNAvMUrP5o35Dpr6jm0Gk16NDIW7r8vM32uQqEARAHNTf+OORuk+TN+VdbduJERERERETktIo3Qpdh6Y3QEyUHv+9wdZFeVUC2VxRkkxtb2Z6SaeHWUFWipq1VVJ7pr6imUZIGCwDueW+zhVpiPgZAHJDRJPCxgui0jCBPVwyKqq9qnURERERERET2xl42QheSSXe6NfXjZEUHotNqENnAS6osN0K3rXvnbsFVg/z0Yhct019RzdO1iT8kY7oAgFNZNzBi2W7LNcgMDIA4oITkS6qv/vhj0t0q10jkPLKysvDUU0/B09MT3t7eGDFiBPLy8io9p2fPntBoNKUeo0ePtlKLiYjUwz6QiIicjb1shO7pJrexeXSIj8XaQJZR30cuyMaN0G3nt31/4/CFa4rOeaFHEwYjqcbRaTUY07OxonM2HruIlQfOW6hFyjEA4oDeWnlY1fpGdAuD3oV/CkQVeeqpp3D48GHEx8dj1apV2Lp1K5599tkqzxs1ahQuXLhQ8pg9e7YVWktEpC72gURE5GyUbIRuyRRF+89ckSqXc6PAYm0gy6jvI7dnCzdCtw2jSWD8DwcUnaPVAOP7MP0V1Uzj+zRXfM5L3++3m/6No94OxlBoQnKmsgh1Zdo28MSb97VUrT4iZ3P06FGsXbsWixcvRufOndGtWzfMnz8f3333Hc6frzya7eHhgcDAwJKHp6enlVpNRKQO9oFEROSMuoT7oZbkaMj5bMvM0DeaBDYflwuucMK54+FG6PZtbvxxyQR0//jwsSiu/qAaS6fV4EWFq0CMJmBu/AkLtUgZBkAczODFO1Sra0S3UPw2trtq9RE5o8TERHh7e6NDhw4lx3r37g2tVoudO3dWeu4333wDf39/tG7dGnFxcbh+/Xql5fPz85Gbm1vqQURkS9bqA9n/ERGRNem0GtwdUVeq7I0Co0XasCP1MvIL5ZJbx4RzzwFHw43Q7ZfRJDBf4b66YX4e3DeXaryX+jaXTCD5j4+3JNvFKhAGQByIodCEnafklsgCQN8If/Rq6gv9//9bpwH8a9fCv/s2w4mZ/fHmfa0t01AiJ5Keno66dUt/OXJxcYGvry/S09MrPO/JJ5/E119/jc2bNyMuLg7Lly/H008/Xem1Zs2aBS8vr5JHSEiIKs+BiMhc1uoD2f8REZG1dWgklwZr64lMiwzeJErO+ndz0aKLgpRdZB+4Ebr9Mmf1x4aJPS3RFCKHotNqMP/xKEXnmIR9rAJxsXUDSN7kn5TlJ1w4pBOX5xFVYPLkyXj33XcrLXP06FGz6781P36bNm0QFBSEe+65BykpKWjcuPxlg3FxcZgwYULJv3NzczkISEQWYW99IPs/IiKyNv86rlLlbhQUpSi6s6m6qzCE5BBsz4gAfq93UMHe7sDpbFs3g25hNAks/EPZ6o/5T0TzPUj0/+6Lqo//Jf2NjccuSZ+zaGsKxvdpZtP3EQMgdsRoEth69CLeXXcEyRevwwjA1UWL8IDamNC7OVYkVZ5r+1YPRQezgyaqxMSJEzFs2LBKy4SHhyMwMBAXL14sdbywsBBZWVkIDAyUvl7nzp0BAMnJyRUGQFxdXeHqKvdFjIioOuytD2T/R0RE1hbo6SZddntKpuoBEE+3WlLlokN8VL0uWY9GIzcmcyHHMvvMUFk7Ui+jQC7zHACgXYg3BkYGW65BRA7oi2Gd0XP2RpzKkuu7DEZhkYkESjAAYifWHLyAsf/dh9tX1t4sNOHIhasYuXyPovr+83Ckiq0jcj4BAQEICAioslxMTAyys7Oxd+9etG/fHgCwadMmmEymkgE9GUlJSQCAoKAgs9pLRKQm9oFERFV7++23sXr1aiQlJUGv1yM7O7vKc4QQmDp1Kj7//HNkZ2fjzjvvxMKFC9G0aVPLN5gU6RTmC7daWtyUGA21xEbo+8/IpbfOuVGg+rXJOur7uEuVO/h3DowmwUmsVvBVQpqi8j8+39VCLSFybBv/fTcav7ZGuvyXiWk2DYBwDxA7MGvNEbzwbdngh7k6h/lA78KXlkgNLVq0QL9+/TBq1Cjs2rUL27dvx9ixY/H4448jOLhoJsi5c+cQERGBXbt2AQBSUlIwY8YM7N27F6dOncJvv/2GIUOG4K677kLbtm1t+XSIiBRhH0hENZnBYMAjjzyC559/Xvqc2bNnY968eVi0aBF27tyJ2rVrIzY2Fjdvcoa3vdFpNeghORgT5C2/WkSG0SSw+bjcxtccE3dcXRvL/X3dLCxKs0aWZTQJbDh2seqC/29cryYMShFVQKfVYFyv8rOblGfTMcvspyWLo+Q2tubgeXy6VVkEuirLR3RRtT6imu6bb75BREQE7rnnHgwYMADdunXDZ599VvLzgoICHD9+HNevXwcA6PV6bNiwAX379kVERAQmTpyIhx9+GCtXrrTVUyAiMhv7QCKqqd566y28/PLLaNOmjVR5IQQ++ugjvPHGGxg0aBDatm2Lr776CufPn8cvv/xi2caSWdqF+kqVy8jJV/W6O1IvI79QLg9PTLjtZsxS9XQJ94NeJzeAvj1FLiBG5tuRehlGyfRXGgDj+zSzaHuIHN34Ps0hGyIsNAmbBnqZAsuGjCaBMd/uV7XOFkF3cPUHkcp8fX3x7bffVvjzRo0aQYh/ItkhISH4448/rNE0IiKLYx9IRCQnLS0N6enp6N27d8kxLy8vdO7cGYmJiXj88cfLPS8/Px/5+f8MsOfm5lq8rVQk96Zceqk1f13AnEciVZsNnig5COTmokWXxn6qXJOsT6fVILKBF3ZLbIS+Oy3L8g2q4ZYnnpIu+1C7+lz9QVQFnVaDh9oF4+d9cntWf7XjlM3SYHGk3IZe/HYv1F78s+L5birXSERERERERFVJT08HANSrV6/U8Xr16pX8rDyzZs2Cl5dXySMkJMSi7aR/aCTnrqqdokhIjgT0jAjgIKyDq+/jIVXu0Plcm6aHcXZGk8DGoxnS5Wc9xLStRDJmPSS/B/XmYxdt1s8xAGIjhkIT1hyS73xlNK1bG+56nap1EhEREREROYvJkydDo9FU+jh27JhV2xQXF4ecnJySx9mzZ616/ZosRsHqCjVTFHm61ZIqFx3io9o1yTZkN0K/UWDCLq4CsZgdqZdRIJn+qnGABzOrEEnSu2jROEAu0Gsw2i4NFlNg2cjgxTtUr3P1uLtUr5OIiIiIiMhZTJw4EcOGDau0THh4uFl1BwYGAgAyMjIQFBRUcjwjIwNRUVEVnufq6gpXV1ezrknV0yXcDy4aoFBiQuq5KzdUu+7+M1ekyuXckEvRRfara2N/LNicIlU2PUe9vzEqLSHlknTZ2FaBFmwJkfPp1zpIup/bnpJpkzRYDGnagKHQhJ2n5G54ZD1zZyNGqImIiIiIiCoREBCAiIiISh96vd6susPCwhAYGIiNGzeWHMvNzcXOnTsRExOj1lMgFem0GkSHyq2yuJBzU5VrGk0Cm4/LrSZh9ivH1yXcD64uci/kpbz8qgvZ0IkTJzBo0CD4+/vD09MT3bp1w+bNm0uVOXPmDO699154eHigbt26eOWVV1BYWGijFv9DSQDzzsYBFmwJkfPp2lg+oHE+W53PUqU4Ym4DcSsOqFpfqJ87pgxspWqdRERERERENdmZM2eQlJSEM2fOwGg0IikpCUlJScjLyyspExERgf/9738AAI1Gg5deegkzZ87Eb7/9hr/++gtDhgxBcHAwHnjgARs9C6pKpzBfqXIH/85RJXf5jtTLyC+Uy8UTE26bzWJJPTqtBj2byQ2o7zmt7kRZtd13330oLCzEpk2bsHfvXkRGRuK+++4r2ePIaDTi3nvvhcFgQEJCAr788kssW7YMU6ZMsXHLgRsGuSCMm4sWXRSkxiOiokCvXjLCcKPAaNnGVIABECszmgT+t++8avXdE+GPP165W7X6iIiIiIiICJgyZQqio6MxdepU5OXlITo6GtHR0dizZ09JmePHjyMnJ6fk35MmTcKLL76IZ599Fh07dkReXh7Wrl0LNzc3WzwFkiA7c1WtjdATJevgQKzzcNfLZZ+35QbBVbl06RJOnjyJyZMno23btmjatCn+85//4Pr16zh06BAA/F979x4XVZ3/D/w1Z3BGUC4Cg4CSMl4gTBAzEF0LL4nmurlbfqtfmrZbu/o1Wy+bC/szvEV4+VaW221rNzTbdvvtt1of5kJmmrbgJQ3Na15QMrmYhCMqjDNzfn+wM0YinBnOmcs5r+fjMY+HwGfO+RyY85rxfM7n88bHH3+Mw4cPY/369Rg0aBDGjx+PZcuW4eWXX4bVavVZ3+0OEdu+ljbrakJqHPScekXkFr2gw8RB8ZLabv/6vE9yjgMgXlZ64jtIrLsEAIgIbv2NMj7MgCNLx+HP0zPl6RgRERERERG5FBUVQRTFGx7Z2dmuNqIotqgpotPpsHTpUlRXV6OxsRGffPIJ+vfv7/3Ok2RDzVEw6KVd8JSjELoIaRd+spNNvBCrElILofuyQHB7oqKikJSUhHXr1uHy5cuw2Wx4/fXXERMTg9tvvx0AUFZWhoEDB6J79+6u5+Xk5MBiseDQoUO+6vp/Zl1JO+9+0pezrog88ZN+MZLaXb0mz80E7mIRdC9bvEF66PeKCsZnT43CVasdz246jNMXrqB3VAj+cE8Kgg16BXtJREREREREpH56QYe0nuHYc6a+3bZ7Kuo6vL+q+iuS2qUnSKtNQv7PnULovioQ3B6dTodPPvkEkyZNQmhoKARBQExMDIqLi9GtW/Nrtbq6usXgBwDX185lslrT1NSEpqbr9U8sFousfXenAHpsuLTBKiJqKTZM+kxXX+QcB0AU0NBowxPrd6Ps1PdwAIiPCMbTPx2A4X2jcfK7y5K38+ykVABAsEGPZZMGKtRbIiIiIiIiIu3q0S1E0gDI/v/UAfF0ZobdIaL4UI2kthevXvNoH+R/hpqj0EkArklYDsTbBYJzc3OxYsWKNtscOXIESUlJmDVrFmJiYrBjxw4EBwfjzTffxMSJE7Fnzx7ExcV53IfCwkIsWbLE4+e3Z7fEgcvgToLkmkBE1FJGYiSMQTpJs63kuJnAXRwAkZHdIWL0c9tw+kLLOzrO1F3FY+u+uMmzWqcXwPU+iYiIiIiIiBTm7hJFnt65uruiDles0hbF5upX6qEXdBiVHIOSw7XttvV2geD58+e3WMavNWazGZ9++ik2btyI77//HmFhYQCAV155BZs3b8batWuRm5uL2NhY7N69u8Vza2qaB/xiY2Nvuv28vDzMmzfP9bXFYkFCQoKHR9SS3SHiS4nF5W+LD+Oyc0Qe0gs6pPaMwJ7T7Z9vHb2ZwBMcAJFJ8cEqzFi/T7bt3ZsWz+AlIiIiIiIiUpi3liiqtki/uz/L7H/LIJHnhvSOkjQA4iwQ7K3rQSaTCSaTqd12V6403+grCC1LCQuCAIejeVAvKysLBQUFqK2tRUxMcz2AzZs3IywsDCkpKTfdttFohNFo9PQQ2rTz1AVILP+BOzj7g6hDMhIjJQ2AdPRmAk+wCLoM5B78AIDl96XJuj0iIiIiIiIiupFziSIpOrJE0XeXmtpvhOaleLgihLpEh0q7wO+rAsHtycrKQrdu3TBt2jTs378fX3/9NZ566ilUVFRgwoQJAICxY8ciJSUFU6dOxf79+1FSUoKFCxdi1qxZig1wtMed+h/D+7Q/EERENzesj/QBjX+fPK9gT27EAZAOsjtEzJR58CMzsRsMQfzTEBERERERESnNuUSRFB1ZouiL09IubN/Z38QVIVTG3QLB/iY6OhrFxcVoaGjAqFGjMGTIEHz++ef45z//ibS05ht49Xo9Nm7cCL1ej6ysLEyZMgWPPPIIli5d6rN+f/v9VUntDHodBx2JOshbNxN4gktgddDsv+6FxNl0kr39q6Eyb5GIiIiIiIiIbkbpJYrsDhGfHZd2N3pwJ71b2yb/5+8FgqUYMmQISkpK2mzTq1cvbNq0yUs9at9Vq01Su5HJMRx0JOogd+odxUVIHxSWA6cZdIDV5sCmgzWybpOzP4iIiIiIiIi8S+klinZX1KHxmrQC6PFevjBEynMWCJbCWSCYOsbuELHta2mzaYb06qZwb4i0YXAvabV0ai5KWxJSLrzS3gFT39wp+zY5+4OIiIiIiIjIu5ReosidAuisRaBOGRKLbDsLBFPH7Dx1QdKMGwCI7uqbGiVEamNpvCap3aavqrw60MsBEA9ZbQ7sklDZ3h2/HN6bsz+IiIiIiIiIvMy5RJEUnixRxALo5M8FgtXInQLoseHBCvaESDt0kPY+2mjzbDalp3i13UO5/9gv6/YSIoORP3GArNskIiIiIiIiovYpvURR3RVpAyAsgK5eQ81RkDjG5rd1QAKJ1ALowZ0EybNziKhtWW4M4HtzoJcDIB6wO0S8X35Otu1FhQRhx4JRsm2PiIiIiIiIiNyj5BJFX0hcQYIF0NVLL+iQLrHWBOuAdNy331+R1O62+DAOOhLJZKg5Cp0kjjacq5e+NGRHcQDEAy9uPibbtkYlRWFvfo5s2yMiIiIiIiIi9ym1RJHdIeLLM9IGQESRF73VjHVAvMPuELH/7EVJbe/g7A8i2egFHUYlx0hqe/WaXeHeXMcBEDfZHSLWbD0puX2/mC44snQcJg+JR5hRQCcB6BbSCQ/ekYAjS8fhL4+y6DkRERERERGRrym1RNHOUxcgsRYzenRjLQI1Yx0Q79h56gKsdmkn3fA+JoV7Q6QtQ3pLWwZr+9fnvTbTLUipDffu3Rtnzpxp8b3CwkLk5uYqtUtZXbXa8cxHh3Dg7EWEB3fC4yPM+Ek/E17cfAzu/Gk+evJOGIIErLo/HavuV6y7RERERERERNQBziWK9khYrsq5RJGUpXPK3LiTnxdj1c05yCZlQIx1QDwntQB65yABQ92oWUBE7YsONUpqd/VacyH04f2kDwx7SrEBEABYunQpHn/8cdfXoaGhSu5OFnaHiPte+TfKfzRV7vMT7k897GMKgSGIk2yIiIiIiIiIAkFGYqSkARDnEkVSLtyIEm+j5MVY9VNqkI1akloAPbVnOH+/RDKLDessue2/T573ygCIolfnQ0NDERsb63p06dJFyd11WPHBKvT5w6YbBj88tfint8myHSIiIiIiIiJSnhJLFFXVSyvGfM/AOF6M1QDWAVHeWYkF0OPCpV+oJSJpMhIjYZS4nqS3ZropOgCyfPlyREVFIT09HatWrYLNZlNydx1SfLAKM9bvk217QQIwzAsjWEREREREREQkD7nrgNgdIjYeqJK0vVhejNUE1gFRlt0horyy3tfdINIsvaBDas8ISW2dM92UptgSWE8++SQGDx6MyMhIlJaWIi8vD1VVVXj++edv+pympiY0NTW5vrZYLEp1rwW7Q5R18AMA/vuuvrxzg4iIiIiIiCiAuLNE0Zff1Le7RFFzMWZp++YlBG1gHRBl7Tx1QdLvFgB6dAtWtjNEGqXEcpId4dYMkNzcXOh0ujYfR48eBQDMmzcP2dnZSE1NxYwZM/Dcc89hzZo1LQY4fqywsBDh4eGuR0JCQseOTqJZf/1C1u0JOuC3d/eXdZtERERERETkPQUFBRg2bBhCQkIQEREh6TnTp0+/4f/I48aNU7ajJDupSxTZHEDp8baLLUstxgwAWWauIqEFzkE2Kbx1d7SauHPODe9jUrAnRNrlbzPd3BoAmT9/Po4cOdLmw2w2t/rczMxM2Gw2nD59+qbbz8vLw8WLF12Pb775xq2D8YTV5kDxwVpZt/lENmd/EBERERERBTKr1YrJkydj5syZbj1v3LhxqKqqcj3effddhXpISnHnws1Ln37d5s93S7yD36DXsQC6hrAOiHKKD0pbco7nHJFy3FlOsuRQtbKdgZtLYJlMJphMno2OlpeXQxAExMTE3LSN0WiE0Wj0aPuemvrmTlm3x9kfREREREREgW/JkiUAgKKiIreeZzQaERsbq0CPyFuGmqMg6AApN97va2MZLLtDxF4JS4AAQFrPcN5IqSHD+kTj5a0nJbXdcaJW8eVh1MJqc+DkeWkF0HnOESnHneUkT56/AqvNAUOQcqXKFdlyWVkZVq9ejf379+PUqVN45513MHfuXEyZMgXdukmb5ucNVpsDuyR+GJHqhQcGMUCJiIiIiIg0atu2bYiJiUFSUhJmzpyJCxfavnu7qakJFoulxYN8Sy/oMKRXhKS2dgdueod+6Ynv4JC4zzskzgggdRhqjoJe4qWjr84yE6RaW3pacluec0TKkjrTDQDWllYo2BOFBkCMRiP+9re/4a677sKAAQNQUFCAuXPn4k9/+pMSu/OY3LM/bosPw72Desi6TSIiIiIiIgoM48aNw7p167BlyxasWLECn332GcaPHw+7/eZVsH1VC5PaNnuU9JUd1u083er317SzPNYPsRaBtugFHQb0CJPUNsSoV7g36rH+Judia3jOESnLneUk1+88o2BP3FwCS6rBgwdj5055BxfkJvfsj1CjHhufHCHb9oiIiIiIiEheubm5WLFiRZttjhw5guTkZI+2/+CDD7r+PXDgQKSmpqJPnz7Ytm0bRo8e3epz8vLyMG/ePNfXFouFgyB+YFjfaAiApBkcW4/W3rAMlt0h4osz9ZL2pRfAWgQaNDG1Bw5ImN2R0ZuvDSmsNgfO1F2V1DZIYP0PIqUNNUdBLzTPlGzPmbqrii6DpdziWn4u7/39sm1rQFwXfLVknGzbIyIiIiIiIvnNnz8fR44cafNhNptl25/ZbEZ0dDROnDhx0zZGoxFhYWEtHuR7ekGH23tLW8K7tULVO09dkFRDBAAGJ0RwKW0NmjasN3Tt/Nl1uuZ21L7cf0i/zjcq2cRzjkhhekGHMck3rwX+Y7n/K9+1+h9TZAaIv7M7RLy/75zk9uaozrg9MRLFB6pwySpCABBs0CMjMRJrHhqMrp01+WskIiIiIiIKKCaTCSaT95Y9OXv2LC5cuIC4uDiv7ZPkk5EYKamAKwD8++T5FoWq3y47LXk/T7qx3BaphyFIwK9HJOL17Tdf+/7XIxIVLQysFnaHiPfLpV/nm5aVqGBviMjpkWGJKDlcK6nt+1+ew6rJytTW1uSV+xc3H4PEGzEAAMVzR8IQJGDV/emK9YmIiIiIiIj8R2VlJerq6lBZWQm73Y7y8nIAQN++fdG1a1cAQHJyMgoLC/Hzn/8cDQ0NWLJkCe677z7Exsbi5MmTWLBgAfr27YucnBwfHgl5alifaLy89aSktrsr6lz/tjtEbDlSI+l5QQIwrJ/0ddJJXfLuSQEAvLGjosWMIUEHPD4i0fVzatvsv+6V3JZLzhF5z1BzFPQ6wC7xQvzsv+7DK1Nul70fqhwAsTtEbD9SixUlh3Gi9gpsADoJOsSEGfFQxi14SeIHGABI6xnG0XYiIiIiIiKNyc/Px9q1a11fp6c33xC3detWZGdnAwCOHTuGixcvAgD0ej0OHDiAtWvXor6+HvHx8Rg7diyWLVsGo9Ho9f5Tx7lz4WbvmXpXHZCdpy7gmpTiIQDSufyV5uXdk4L5Y5PxdtlpnKm7gl6RIZia1ZvXoiSy2hzYdFDagCMA3JsWz3OOyEv0gg73psVLnqG16WC1IrVAVDcAUnywCk/8dR9sP/qwcc0h4tv6RvzPx1+7tb0FObfK2DsiIiIiIiIKBEVFRSgqKmqzjShevzIeHByMkpIShXtF3qQXdBjQI0xSoWoRwIubv8a8nCSsK735kkY/dkdiZAd6SGphCBLwqxHy1R/SkhErP3Gr/fL70hTqCRG1Zvn9aW4tUXfXyk9R9ocxsvZBVcPJxQerMGP9jYMfnjLodZwWR0RERERERKRRE1N7SG77x20nYLU5JK93DgDD+3ivJg2R2mzYdxY1lmuS2/cxhXBmDZGXGYIE9DV1kdy+ytKEf5Z/K2sfVHPW2x0iZqzfJ+s2Z9zZh9PiiIiIiIiIiDRq2rDekts6RODhN8oktw8SeNMlkafsDhG/fW+/W89Z/NPbFOoNEbVl0cQBbrWf/95+2B3uVPBum2oGQEb/z6eybk/QAb+9u7+s2yQiIiIiIiKiwOHunat7ztRLbnvvINYiIPLUi5uPwZ3Lo530OgzrF61Yf4jo5ob1jUaQG293NoeI0uPfybZ/VQyAbNh3FqfrGmXd5hPZfflBhIiIiIiIiEjj3L1zVarCX6Qqsl0itbM7RKzZetKt5zz/X4N4nY/IR/SCDqsfGOTWcxZvPCjb/gO+CLonU97aoxc4+4OIrisoKMBHH32E8vJyGAwG1NfXt/scURSxaNEivPHGG6ivr8fw4cPx6quvol+/fsp3+EeuWu3I33AAxQeqcMkq3xRCOXQSdIgJM+LhzF54bITZL9ZjtTtEbD9SixUlh3Gi9gpsvu7QDwgAgg16ZCRGYs1Dg9G1s3+8jTc02jD7nT0oPVGHJj96iekAGIMEmE1d8LuxybgryeQX/+mx2hx4Y8cJvF1agepLN77C/O28CPQMpOvsDhHbDtVg0cavcPai1dfd0RR/O6+JyD3D+kZDrwPsMn7OYS0CIs+5O/sjPSEcE9PiFesPEbXvp4N64M//PoUvv7FIan/y/BVYbQ5Z3isD/t3W3dCTYvUD6X5xgYSI/IPVasXkyZMxc+ZMyc9ZuXIlXnrpJbz22mvYtWsXunTpgpycHDQ2yjtbrT2Pr9uDW/OL8f++OOd3gx8AcM0h4tv6RqwsOYb+C/+Fwk2Hfdqf4oNVSFr4Lzz69hc46meDHwDgAHDZasfWY+dx2+IS/OyPO3zdJfzsjztw2+ISbD3uX4MfACACaLQ5cLjqEn65dg+Sn/4Xig9W+bRPhZsOo//Cf2FVyfFWBz8A/zsvAjkD6brig1Xo93834Vfv7OXghw/423lNRO7RCzrMyu4j6zZZi4DIM3aHiFc/c2/2xz9mDleoN0Tkjn/M/Ilb7XP/V55JDwE9AOJJ6LVnVLKJo8JE1MKSJUswd+5cDBw4UFJ7URSxevVqLFy4EPfeey9SU1Oxbt06nDt3Dh9++KGynf2Bx9ftwebDtV7bnxxe317hs4tCxQerMGP9PthkLLSltANnLT4dBPnZH3fgwFlpd2/4g2t2ETPW7/PZIEjhpsN4fXuF28/z5XkBBG4G0nXOfAugeFM9X5/XROS+396dBLlukwwSwFoERB7aeeoCrjmkt39yJJe4J/IXekGHXwySft39n/vPyVIMPaAHQNwNvfbcEtkZf5meId8GiUiTKioqUF1djTFjxri+Fx4ejszMTJSVlXmlD1et9oAb/HB6Y0cFrDYZw10Cu0PE0x8c8Oo+5XLgrAUNjd6fq9LQaAuowY8fWrzhsCwfotxhtTk8Gvxw8sV54Sl/yEC6zu4QsfB9eZeLJXkE0nlNRM0XbWaPlGcWyH/fxQuyRJ4qPSm9MLKg4xL3RP5m+f1pktvaHcDOkxc6vM+AHgApk+EX4DQ6ORrbF4yWbXtEpF3V1dUAgO7du7f4fvfu3V0/a01TUxMsFkuLh6eeDeC7Sh0i8HbZaa/uc3dFHc5f9rcFr6Sb+/cvNbFPuVRbGrG7os6r++zoa9oX54WnPMlAOfOPWtpdUYfvrth93Q1qRSCd10TU7Ld3J3X4IgprjpK/KigowLBhwxASEoKIiIhW21RWVmLChAkICQlBTEwMnnrqKdhsLf8ftW3bNgwePBhGoxF9+/ZFUVGRrP389vurkts+kc3BRiJ/YwgSkNm7m+T2ZaekD3reTEAPgMCN6h9ZvcLRvave9bUAICK4Ex68IwFHlo7Dn6dnKtA/IvJXubm50Ol0bT6OHj3q1T4VFhYiPDzc9UhISPB4W6cvXJGxZ953ps67/a+9FNh1CSrd+E9AIO9TTt7+m8vxmpbzvPC3DJQz/6ilQM83tfP2+x0RdYxe0OGlBwd1aBusOUr+qr26b3a7HRMmTIDVakVpaSnWrl2LoqIi5Ofnu9pUVFRgwoQJGDlyJMrLyzFnzhw89thjKCkpka2f8RGdJbXTc/YHkd96+7GhbrTu+HtmUIe34ENZ5mj8cWv7NUA6CTqs/81wfsggIpf58+dj+vTpbbYxm80ebTs2NhYAUFNTg7i4ONf3a2pqMGjQoJs+Ly8vD/PmzXN9bbFYPL4I2DsqBDuOe/RUv9ArMsSr+4sJlfYh2l/d0i3YJ/s8Vn3J6/uVi7f/5nK8puU8L/wtA+XMP2op0PNN7bz9fkdEHffTQT3w/pff4NNj7q9IMTKJNUfJfy1ZsgQAbjpj4+OPP8bhw4fxySefoHv37hg0aBCWLVuG3//+91i8eDEMBgNee+01JCYm4rnnngMA3Hrrrfj888/xwgsvICcnR5Z+Du9jwivbTrXbbvaofrwOSOSnDEECJgzsjo++qmm3bVafqA7vL6BngAztE4WIkE7ttnvxQd5hQUQtmUwmJCcnt/kwGAwebTsxMRGxsbHYsmWL63sWiwW7du1CVlbWTZ9nNBoRFhbW4uGpP9yT4vFzfU3QAVOzent1nxmJkTB1Cdx7Al54IF0T+5RLbFhnZCRGenWfHX1Ny31e+FsGypl/1FJGYiSiQ/TtNySv88X7HRHJ4y+PDkVChNGt50R26YS3HmXNUQpcZWVlGDhwYItlTnNycmCxWHDo0CFXmx/WgXO2kbMOnJRrgSEGPWaP7ifbPolIfi89dDuMQW0PTXQL6YShZo0PgOgFHZb/YmCbbX5zZyLuSY1rsw0RUVsqKytRXl6OyspK2O12lJeXo7y8HA0NDa42ycnJ+OCDDwAAOp0Oc+bMwTPPPIMNGzbgq6++wiOPPIL4+HhMmjTJK30ONuhxd0qMV/Ylt8dHJMLQzpug3PSCDst+nurVfcoltWcYunb2/uBN185BSO0ZmBepF/8sxes3RhiCBPzmzkSPn++L88IpEDOQrtMLOjzzC+mFBsl7fHleE1HH7cgdg1sipc3C7WoQsO/psQr3iEhZ1dXVrdZ4c/6srTYWiwVXr7a+hK67teCkXAt8/r/SeCM0kZ/TCzq82M6ykoW/GCjLuRzwn7jH3RaH16YMRmxYy7svuoV0wiv/Jx15AXwXNBH5h/z8fKSnp2PRokVoaGhAeno60tPT8cUXX7jaHDt2DBcvXnR9vWDBAsyePRu//vWvcccdd6ChoQHFxcXo3Nl7S5G88cgdATcI8ps7E32W2873k6AA+qCc2jMMG54Y4bP9b3hiREANgnTS6/DalMEYd5tvbozIuyfFo0EQX54XQOBmIF3nzLcAijfV8/V5TUTy2L5gFH45vHebbUb2j8TBpeO90yGiH/G3um+t8aQW3M2uBcaGGX36eZ+I3HP9XG75/8S48M6ynss6URSlVxL3MovFgvDwcFy8eLHdpRDsDhG7K+pQe6kRMaHNS1twtJdIG9zJikAi13FdtdqRv+EAig9U4ZLVvyK/k6BDTJgRD2f2wmMjzH5xJ6zdIWL7kVqsKDmME7VXYPN1h35AQPPsnozESKx5aLBPZn60pqHRhtnv7EHpiTo0+dFLTAfAGCTAbOqC341Nxl1JJr/4bGC1OfDGjhN4u7QC1ZdufIW5e16oMQPVeEz+wO4Qse1QDRZt/ApnL1p93R1N8cf3O7VQY16o8ZjUzvnevr7sNL6/YkOIIQhjB8Ri0cQBCDZwGUJShpSsOH/+PC5caLtejdlsbrH0aVFREebMmYP6+voW7fLz87FhwwaUl5e7vldRUQGz2Yx9+/YhPT0dd955JwYPHozVq1e72rz11luYM2dOi5tlfqipqQlNTU0tjishIYHXAok0xJNz2Z3PS/5x5UQGekEnS1EUIiK1CTboser+dKy6P3BrNniTXtBh5IDuGDmge/uNCUDzclhv/erm9W2oJUOQgFkj+2PWyP6+7gppjF7QYfTAWIweGOvrrhARqQrf28lfmUwmmEwmWbaVlZWFgoIC1NbWIiameaWBzZs3IywsDCkpKa42mzZtavG8zZs3t1sL02h0r6aOE68FEqmD0ucybz0iIiIiIiIiIiLSsPbqvo0dOxYpKSmYOnUq9u/fj5KSEixcuBCzZs1yDWDMmDEDp06dwoIFC3D06FG88soreO+99zB37lxfHhoRaZxqZoAQERERERERERGR+/Lz87F27VrX1+npzSsIbN26FdnZ2dDr9di4cSNmzpyJrKwsdOnSBdOmTcPSpUtdz0lMTMRHH32EuXPn4sUXX0TPnj3x5ptvIicnx+vHQ0Tk5NcDIM7yJBaLxcc9ISJ/5swIPy5p5BFmIBFJocYMZP4RkVTMQCLSKrnzr6ioCEVFRW226dWr1w1LXP1YdnY2vvzyS4/7wQwkIincyUC/HgC5dOkSACAhIcHHPSGiQHDp0iWEh4f7uhuyYQYSkTvUlIHMPyJyFzOQiLRKTfkHMAOJyD1SMlAn+vGtMg6HA+fOnUNoaCh0urYrvwPNIz8JCQn45ptv2q3+rhY8ZvUfs9aOF3D/mEVRxKVLlxAfHw9BUE9pI2Zg+7R2zFo7XoDHrNUMdDf/AO29VrR2vACPmcfcOmYgXyc8ZvXS2jEz/5oxA9untWPW2vECPGa5M9CvZ4AIgoCePXu6/bywsDDNvDiceMzqp7XjBdw7ZjXd8eLEDJROa8esteMFeMztUVsGepp/gPZeK1o7XoDHrBXMQH4GlILHrA1aO2Yt5x/ADHSH1o5Za8cL8JjbIzUD1TNETERERERERERERERE9B8cACEiIiIiIiIiIiIiItVR1QCI0WjEokWLYDQafd0Vr+Exq5/WjhfQ5jHLQYu/N60ds9aOF+Axk3Ra+71p7XgBHrNWaPGYO0qLvzMeszZo7Zi1drxy0eLvTWvHrLXjBXjMcvPrIuhERERERERERERERESeUNUMECIiIiIiIiIiIiIiIoADIEREREREREREREREpEIcACEiIiIiIiIiIiIiItXhAAgREREREREREREREamOagZACgoKMGzYMISEhCAiIqLVNpWVlZgwYQJCQkIQExODp556CjabzbsdVVDv3r2h0+laPJYvX+7rbsnq5ZdfRu/evdG5c2dkZmZi9+7dvu6SYhYvXnzD3zM5OdnX3ZLV9u3bMXHiRMTHx0On0+HDDz9s8XNRFJGfn4+4uDgEBwdjzJgxOH78uG866+eYgcxAtWEGMgOlYv41Ywaqi9ozkPknH2Yg809t1J5/ADNQTsxAZqDaMAOVyUDVDIBYrVZMnjwZM2fObPXndrsdEyZMgNVqRWlpKdauXYuioiLk5+d7uafKWrp0KaqqqlyP2bNn+7pLsvn73/+OefPmYdGiRdi3bx/S0tKQk5OD2tpaX3dNMQMGDGjx9/z888993SVZXb58GWlpaXj55Zdb/fnKlSvx0ksv4bXXXsOuXbvQpUsX5OTkoLGx0cs99X/MwGbMQHVhBjIDpWD+XccMVBc1ZyDzTz7MwGbMP3VRc/4BzEA5MQObMQPVhRmoQAaKKvPWW2+J4eHhN3x/06ZNoiAIYnV1tet7r776qhgWFiY2NTV5sYfK6dWrl/jCCy/4uhuKycjIEGfNmuX62m63i/Hx8WJhYaEPe6WcRYsWiWlpab7uhtcAED/44APX1w6HQ4yNjRVXrVrl+l59fb1oNBrFd9991wc9DAzMwBd83Q3FMAPVjRnYcVrOP1FkBqqNljKQ+ScPLWcg809dtJR/osgMlAsz8AVfd0MxzEB181YGqmYGSHvKysowcOBAdO/e3fW9nJwcWCwWHDp0yIc9k9fy5csRFRWF9PR0rFq1SjXT+qxWK/bu3YsxY8a4vicIAsaMGYOysjIf9kxZx48fR3x8PMxmMx5++GFUVlb6ukteU1FRgerq6hZ/8/DwcGRmZqr6b64UZmBgYwYyAwFmoKe0kn8AM1BttJqBzD95aSUDmX/qotX8A5iBcmMGBjZmIDMQkCcDg+ToXCCorq5uEXgAXF9XV1f7okuye/LJJzF48GBERkaitLQUeXl5qKqqwvPPP+/rrnXYd999B7vd3urf8OjRoz7qlbIyMzNRVFSEpKQkVFVVYcmSJRgxYgQOHjyI0NBQX3dPcc7zsrW/uVrOWW9iBgY2ZiAz0IkZ6D4t5B/ADFQbLWcg809eWshA5p+6aDn/AGag3JiBgY0ZyAx06mgG+vUMkNzc3BsKv/z4odYXvJM7v4N58+YhOzsbqampmDFjBp577jmsWbMGTU1NPj4K8sT48eMxefJkpKamIicnB5s2bUJ9fT3ee+89X3eNvIQZyAzUMmagtjH/mjEDtYsZqG3MQOafljH/iBnIDNQyZqAy/HoGyPz58zF9+vQ225jNZknbio2Nxe7du1t8r6amxvUzf9WR30FmZiZsNhtOnz6NpKQkBXrnPdHR0dDr9a6/mVNNTY1f//3kFBERgf79++PEiRO+7opXOP+uNTU1iIuLc32/pqYGgwYN8lGvvIsZyAx0YgYyA520koHMv2bMwGbMQG1loNbzD2AGAsw/J+aftvIPYAYCzECAGejEDGQGOnU0A/16AMRkMsFkMsmyraysLBQUFKC2thYxMTEAgM2bNyMsLAwpKSmy7EMJHfkdlJeXQxAE1/EGMoPBgNtvvx1btmzBpEmTAAAOhwNbtmzBE0884dvOeUlDQwNOnjyJqVOn+rorXpGYmIjY2Fhs2bLFFXIWiwW7du3CzJkzfds5L2EGMgOdmIHMQEBbGcj8a8YMbMYM1FYGaj3/AGYgwPxzYv5pK/8AZiDADASYgU7MQGYgIE8G+vUAiDsqKytRV1eHyspK2O12lJeXAwD69u2Lrl27YuzYsUhJScHUqVOxcuVKVFdXY+HChZg1axaMRqNvOy+DsrIy7Nq1CyNHjkRoaCjKysowd+5cTJkyBd26dfN192Qxb948TJs2DUOGDEFGRgZWr16Ny5cv49FHH/V11xTxu9/9DhMnTkSvXr1w7tw5LFq0CHq9Hg899JCvuyabhoaGFqPYFRUVKC8vR2RkJG655RbMmTMHzzzzDPr164fExEQ8/fTTiI+Pd73x0XXMQGag2jADmYFSaT3/AGagGqk9A5l/8tF6BjL/1Eft+QcwA+XEDGQGqg0zUKEMFFVi2rRpIoAbHlu3bnW1OX36tDh+/HgxODhYjI6OFufPny9eu3bNd52W0d69e8XMzEwxPDxc7Ny5s3jrrbeKzz77rNjY2OjrrslqzZo14i233CIaDAYxIyND3Llzp6+7pJgHHnhAjIuLEw0Gg9ijRw/xgQceEE+cOOHrbslq69atrZ6306ZNE0VRFB0Oh/j000+L3bt3F41Gozh69Gjx2LFjvu20n2IGMgPVhhnIDJRK6/knisxANVJ7BjL/5KP1DGT+qY/a808UmYFyYgYyA9WGGahMBupEURQ9Hz4hIiIiIiIiIiIiIiLyP4KvO0BERERERERERERERCQ3DoAQEREREREREREREZHqcACEiIiIiIiIiIiIiIhUhwMgRERERERERERERESkOhwAISIiIiIiIiIiIiIi1eEACBERERERERERERERqQ4HQIiIiIiIiIiIiIiISHU4AEJERERERERERERERKrDARAiIiIiIiIiIiIiIlIdDoAQEREREREREREREZHqcACEiIiIiIiIiIiIiIhUhwMgRERERERERERERESkOv8fdR2JykW/SWYAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Question 19\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Question 20\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Question 21\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Question 22\n" - ] - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABj0AAAEpCAYAAADI5+CTAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAADjC0lEQVR4nOzdd1xT1/sH8E8CMkRBQRGpC/cGV93WjVtrtdXaOltrxVV/tRVrFSeO6tetX9s6amu1tVpnUdxW3Ip7ItaBiBNEZSXn90e+pEbWveSGrM/79cqrJXlychLh5N57zvMclRBCgIiIiIiIiIiIiIiIyMqpzd0BIiIiIiIiIiIiIiIiJXDSg4iIiIiIiIiIiIiIbAInPYiIiIiIiIiIiIiIyCZw0oOIiIiIiIiIiIiIiGwCJz2IiIiIiIiIiIiIiMgmcNKDiIiIiIiIiIiIiIhsAic9iIiIiIiIiIiIiIjIJnDSg4iIiIiIiIiIiIiIbAInPYiIiIiIiIiIiIiIyCZw0sPGrVq1CiqVCidPnlSszTt37sDFxQWHDx+W/dwGDRrgq6++UqwvSrp16xZUKhVWrVqV6zZs9bMhsnT827NOISEhUKlURrUxa9YsVK5cGVqtVtbzLl26BEdHR1y4cMGo1yci0+vfvz/KlCljVBtDhw5FmzZtlOlQLi1btgylSpVCcnKyWftBZG2MOc6zVampqShZsiSWLFli7q5YLGPO7UNCQoz+3iEyC60WqF4dmDbN3D0xztixQP365u4FWTlOepBskydPRv369dG4cWPZz/3666+xePFixMbGmqBn5sfPhsg8bOFv79mzZ/D29oZKpcKGDRsyPJ6cnIyvv/4avr6+cHV1Rf369REeHp5pWxEREWjSpAny588PHx8fjBgxAomJiUa1CQDNmzfHrVu3cv0elZaQkICZM2fi66+/hlot75CmatWq6NixIyZMmGCi3hHlvaVLl6Jnz54oVaoUVCoV+vfvn23806dP4ejoiN9++w0AMH36dDRo0ABFixaFi4sLKlSogFGjRuHhw4ey+mFpF4qio6Pxww8/YNy4cQb3q1SqTG8zZszItJ2QkBCjFsf0798fKSkp+O9//5vrNnLr4MGD6NKlC0qWLAkXFxf4+PigXbt2vIhMVsGY4zwpUlJS0LJlS6hUKnTt2hUajSbTuMePH2P27Nlo1qwZihYtikKFCqFBgwZYv369Yn25f/8+xo4dixYtWqBgwYJQqVTYv39/hrh8+fJh9OjRmDZtGpKSkhR7/cxMmzYNXbp0QbFixaBSqRASEpJt/Pnz56FSqXD8+HEAwBdffIHatWvD09MT+fPnR5UqVRASEpLpsWl2LO27hcgsLl0CQkKArM7Jfv0VuHMHGDYs7/p09SrwxRdAo0aAiwugUmXdPwDYsgWoXVsXW6oUMHEikJZmGDNqFHD2rC42r8l9PwDwf/8HVK2q+/+LF4GePYGyZYH8+YEiRYBmzYCtW+X1Y9Uq3b815RonPUiWhw8fYvXq1RgyZEiunt+1a1e4u7tb5IqU0qVL49WrV/j4449z9Xxb/myILJmt/O1NmDABL1++zPLx/v37Y+7cuejTpw/mz58PBwcHdOjQAX///bdBXGRkJFq1aoWXL19i7ty5+OSTT7B8+XL07NkzV20ePHgw05PpPXv2IO3Ng1OZxo8fj1evXuX6+StWrEBaWhp69+6dq+cPGTIEmzZtQlRUVK77QGRJZs6cib1796JatWpwdHTMMX7nzp1QqVRo27YtAODUqVMICAjAN998g8WLF6Nr165YuXIlGjVqhBcvXmTb1u7duzO9ULhz587cvZnXfP/997h69Wqunz9//nz4+fmhRYsWGR5r06YN1qxZY3Dr3Lmz/vELFy7g3r17GZ539epV2ZPALi4u6NevH+bOnQshhOz3YYxr165BrVZjyJAhWLx4Mb788kvExsaiWbNmCAsLy9O+EMlh7HFeToQQGDBgAPbt24eOHTtiy5YtGDFiRKaxR44cwTfffANPT0+MHz8e06ZNQ/78+dGrVy9MnDhRkf5cvXoVM2fOxL1791CjRo1sYwcMGIBHjx5h7dq1irx2VsaPH48TJ06gVq1akuK3b98Ob29v1KtXDwBw4sQJNG3aFJMmTcL8+fPRokULzJgxA+3atcsxUzez7xCNRoPdu3fLfyNEtuDSJWDSpKwvws+eDfTqBXh45F2fjhwBFiwAnj8HqlTJPvavv4Bu3YBChYCFC3X/P3UqMHy4YZyPD9C1K/DddybqdDbkvJ9027cDHTvq/v+ff3TP7dcPmD8f+PZb3f1dugDLl2ffzu3bwOXLGe+PiQHOn5f+HkhHkE1buXKlACBOnDihSHtz584Vrq6u4vnz57luY9iwYaJ06dJCq9XKfm76+7FE5v5siOyVuf/2lBiXzp8/LxwdHcXkyZMFAPH7778bPH7s2DEBQMyePVt/36tXr0S5cuVEw4YNDWLbt28vihcvLuLj4/X3ff/99wKA2Llzp+w2R48eLSpXriz27dsn3nnnHXH8+HHx4Ycfirp164q7d+8a9b6NVbNmTfHRRx/l+vkpKSmicOHC4ttvv1WwV0TG6devn3jnnXdy9dxbt27pxzE3NzfRr1+/bOM//vjjHF9rw4YNAoD49ddfs4zRarXi/fffF3Xr1hWRkZGidOnS4ubNm6Jt27aiTZs2Ro3PxkpJSRFFihQR48ePz/AYABEUFJTt89euXStKliwpli5dKiZMmCCWL18upkyZIvz8/MTevXtl9+fkyZMCgNizZ4/s56b3eeXKlbl67ptevHghihUrJgIDAxVpj8gUlDjOy87XX38tVCqVWLx4sRBCiClTpggAYsaMGRlib968KW7dumVwn1arFS1bthTOzs4iMTEx29d65513chyXExISxOPHj4UQQvz+++8CgNi3b1+W8Z06dRJNmzbNtk2pr52V6OhoIYQQDx8+FADExIkTs41v2rRpjq/13XffCQDiyJEjWcY8f/5ctGjRQrRp00ZER0eL0qVLi8jISFGvXj3Ru3fvHI/bjRkvJ06cKEqXLp2r5xKZxKtXQmg0Qvz+uxCAEJmNC6dP6x7bvVu51y1dWogc/ubF48dCJCTo/n/2bF0f/jduZFC1qhD+/kKkpv573zffCKFSCXH5smHshg26+6Oi5Pc7Ojrrzyknct6PELr+5fRaaWm6912pUvavvWeP7jOfMkWI5cuFmDBBiKVLdfetWyfrbZAQzPSwUv/88w+GDh2KSpUqwdXVFV5eXujZs2eWK85evnyJzz77DF5eXnB3d0ffvn3x9OlTg5iTJ08iMDAQRYoUgaurK/z8/DBw4ECDmD///BP169dHgQIF9PddvnwZrq6u6Nu3r0Hs33//DQcHB3z99dcG97dp0wb//PMPIiMjc/8B5EJ4eDiaNGmCQoUKoUCBAqhUqZJBmYPM9vTo378/ChQogHv37qFbt24oUKAAihYtii+//DLDakZr/myIlHDv3j0MHDgQxYoVg7OzM6pVq4YVK1boH3/16hUqV66MypUrG6zuf/LkCYoXL45GjRrp/67S//Zu3ryJwMBAuLm5wdfXF5MnT86wOtYW/vZGjhyJd999F02bNs308Q0bNsDBwQGDBw/W3+fi4oJBgwbhyJEjuHPnDgBduafw8HB89NFHcHd318f27dsXBQoU0JewkdPmnDlzsH79ekybNg3Hjx/Hhx9+iDZt2uD48eN46623snxPqampmDRpEipUqAAXFxd4eXmhSZMmBuWzMtvTQ6VSYdiwYfjzzz9RvXp1/e/SmyuRo6Ojce7cObRu3drg/okTJ0KtVmPPnj0G9w8ePBhOTk44e/as/r58+fKhefPm2Lx5c5bvgyg7csa1vFC6dGnJ++RotVqEhYWhY/qqtCyklxN59uxZljEqlQrr16/H3LlzMWTIENy/fx/du3dHUFAQdu3aZTA+v+n58+cYNWoUypQpA2dnZ3h7e6NNmzY4ffq0PubNPT3Sj9m+++47LF++HOXKlYOzszPq1auHEydOGLT/999/49GjRxnGite9evUqy/IwvXv3xqlTpxAZGYl58+YhODgYSUlJOH/+PFq0aAEhBFq0aIGiRYsiLi5O/7yUlBTUqFED5cqVM8iSqVOnDjw9PS1i3MmfPz+KFi2a7b8tUTpLOs7Lyt69e6FWqzOUrly7di1UKhWWLl1qcP+SJUswa9YsLFmyBEOHDgWgy2qYOnUqgoOD8euvvxrE+/n5oXTp0gb3qVQqdOvWDcnJybh582aOfcxJwYIF4enpKTm+TZs2+Pvvv/HkyROjXzsrcspKPXv2DBEREYp8txQoUAB79+5FUFAQ3n33Xdy/fx9DhgzB3Llz9f+mcqxcuRIqlcrg9xbQlXZUqVTYsWOHrPaIDDx/rivJVKYM4OwMeHsDbdoArx3PANCt9C9XDnB1Bd5+Gzh0CGjeXHdLt3+/rqTSunXA+PHAW2/pyiQtWKArmwQALVroYlQqXTwA/Pkn4OSkK6WU7tUroHJl3e31DPsnT4DixXUlnIw9VvX0BAoWzDnu0iXdbfBg4PWM5KFDASGAN0s8px+75fUxk9T3k277dl1mTZMmWcc4OAAlSwI5HXO1bKnL6Hj5EggOBubN05X5OnkS+OCDrJ+3cqXud+GN8Q3Tp+vut9PxjZMeVurEiROIiIhAr169sGDBAgwZMgR79uxB8+bNMy2PMmzYMFy+fBkhISHo27cvfvnlF3Tr1k1/UBkXF4e2bdvi1q1bGDt2LBYuXIg+ffrg6NGj+jZSU1Nx4sQJ1K5d26DtKlWqYMqUKVizZg22/K/e3osXL9C/f39UrlwZkydPNoivU6cOAORpDeGLFy+iU6dOSE5OxuTJkzFnzhx06dJFUh80Gg0CAwPh5eWF7777Du+88w7mzJmD5a+lpVnzZ0OkhAcPHqBBgwbYvXs3hg0bhvnz56N8+fIYNGgQ5s2bBwBwdXXF6tWrcePGDXzzzTf65wYFBSE+Ph6rVq2Cg4OD/n6NRoN27dqhWLFimDVrFurUqYOJEycalA+whb+933//HREREZg1a1aWMWfOnEHFihUNJjIA4O233wYA/WTN+fPnkZaWhrp16xrEOTk5ISAgAGfOnJHdJgCo1Wr9iWV6zfuchISEYNKkSWjRogUWLVqEb775BqVKlTK4kJmVv//+G0OHDkWvXr0wa9YsJCUl4b333sPjx4/1MREREQCQ4d9+/PjxCAgIwKBBg/D8+XMAutII33//PSZMmAB/f3+D+Dp16uDChQtISEjIsV9Eb5I7rlmSEydO4OHDh+jQoYPB/UIIPHr0CLGxsTh06BBGjBgBBwcHNH/9ZDwLr48VACSNFUOGDMHSpUvx3nvvYcmSJfjyyy/h6uqKy5ml9r9h7dq1mD17Nj777DNMnToVt27dQvfu3ZGamqqPiYiIgEqlyrIsy6pVq+Dm5gZXV1dUrVo10zIxKpXKYN+gN9/jihUrkJSUZFB+Z+LEibh48SJWrlwJNzc3g/Zq165ttmO9hIQEPHr0CFeuXMG4ceNw4cIFtGrVyix9Iethacd5WWnZsiWGDh2K0NBQ/fHG/fv3MXz4cLRu3drgb3TLli0YOXIkli1blqF01jfffINp06ahf//+2LdvX46vm74vXJEiRST1U0l16tSBEEJ/XGRub5ZNTJeWloZHjx4hJiYGu3btwvjx41GwYEH9cWd2cvPdkpkBAwagU6dOGD16tH5xz/nz5zFp0iQMGjQow/chkSxDhgBLlwLvvQcsWQJ8+aVuYuP145kffwQ++0xXumnWLKBxY13Jo//9PmYwZYrugvqXX+ouXrdtC6SX3xs3DlizRndLL8EUEaHbxDxfvn/bcHUFVq8GbtwAXhubERQExMfr9o3Iq2PV9HPRN85V4esLlCjx7+PpPDx0E0SWfn1sxw7dBNebpWVfvAAePQKiooD//EdX2kvKMZdarbulkzLmDRgAdOoEjB797+/T+fO6UmiDBgH2Or6ZM82Ecu/ly5cZ7jty5IgAIH766Sf9fellV+rUqSNSUlL098+aNUsAEJs3bxZCCLFp06Ycy2DduHFDABALFy7M8JhGoxFNmjQRxYoVE48ePRJBQUHC0dExy/acnJzE559/Lvn9vvl+5PrPf/4jAIiHDx9mGRMdHZ0hBbZfv34CgJg8ebJBbK1atUSdOnX0P1vCZ0NkToMGDRLFixcXjx49Mri/V69ewsPDw2DMCg4OFmq1Whw8eFCftj9v3jyD56X/7Q0fPlx/n1arFR07dhROTk76v2VL+NszprzVy5cvRalSpURwcLAQQoh9+/ZlWt6qWrVqomXLlhmef/HiRQFALFu2TAjxbxmEgwcPZojt2bOn8PHxkd3mmDFjMpS36t27d47lrfz9/UXHjh2zff8TJ07M8NkBEE5OTuLGjRv6+86ePZvh33n8+PECQKblLs6fPy+cnJzEJ598Ip4+fSreeustUbduXZH6ehr1/6xdu1YAEMeOHcu2r0TZkTKuSWVMeavX5VTe6ttvv820dMf9+/cFAP2tRIkSYv369dm+llar1Ze9e728VZs2bXIsb+Xh4ZFjial+/foZ9DX9mM3Ly0s8efJEf//mzZsFALF161b9fR999JHw8vLKtN1GjRqJefPmic2bN4ulS5eK6tWrCwBiyZIl+ph169aJUqVKiSVLlujLW02ePDlDeav//ve/AoD4+eefxdGjR4WDg4MYNWpUpq87ePBg4erqmu17zsqbx6pyBQYG6v9tnZycxGeffSZevXqV6/bIPljicV5WXrx4IcqXLy+qVasmkpKSRMeOHYW7u7v4559/cvPWc/T48WPh7e1tkhJTUspbxcTECABi5syZir52ZqSUt8qqbGL6tYr0W6VKlbJ9X0Loylulf4/cvHnToLzVhx9+mKvyVvfv3xeenp6iTZs2Ijk5WdSqVUuUKlXKoCysECxvRbng4SFEdsczKSlCeHsLERAgRHLyv/cvX64rjfT6382+fbr7ypYV4s1rf9mVtypRQoj33sv89YODhVCrhTh48N82pByrSilv9brsykGlP3b7dsbH6tUTokGDjPe3bStElSrSXz+dMeWtXpdTeasXL4RwcREis2Ozzz7TPRfQffY9egjx2nFrpvbtE8LPT4jJk/8tb7VkibTyVvfvC+HpKUSbNrrfsVq1hChVSog3xjd7kvMOh2SRXF1d9f+fmpqKhIQElC9fHoUKFcLp06czbMY9ePBg5Htttvfzzz/HuHHjsGPHDnTp0gWFChUCAGzbtg3+/v4GsenSV9gWLlw4w2NqtRqrVq2Cv78/2rdvj5MnT2L8+PEZVhunK1y4MB49epTj+3z69KlBWYjExEQAyPDc/PnzI3/+/Fm2k/7+Nm/ejAEDBhis1pPizdU/TZs2xZo1a/Q/m+OzIbIUQgj88ccfeP/99/UrhNMFBgZi3bp1OH36NBo3bgxAlwGwbds29OvXD4mJiXjnnXey3DBy2LBh+v9PL3u0fft27N69G7169bLqcQkAZsyYgdTUVINSe5l59eoVnJ2dM9zv4uKif/z1/2YV+3q5CaltduzYEZMmTdJ/7xQtWhRr167Fnj17UKxYsSz7XKhQIVy8eBHXr19HhQoVsn1/b2rdujXKlSun/7lmzZpwd3c3KBvx+PFjODo6Zlruonr16pg0aRKCg4Nx7tw5PHr0CLt27cp0Y+f03x2Ou2QMOePa67RabYaSJMnJyUhNTc3wO+nh4ZHp8Vlu7dixI9PyI56enggPD0dSUhLOnDmDjRs36se5rKhUKvTv3x8tW7bUr+T28/PDrl27EBYWlm1ZmkKFCuHYsWOIiYmBr6+vrPfwwQcfGIz/6SUC3xwrMvuOADJm9w0cOBB16tTBuHHj0L9/f7i6uqJatWqIiIjAW2+9hZCQEOTLlw/ffvstevbsqR8vAd2x9saNGzF8+HAUKVIE5cqVw/Tp0zN93cKFC+PVq1d4+fJltt8TL1++zDSDOzEx0eD3w8HBIcv3+KYZM2bg//7v/3Dnzh2sXr0aKSkpSEtLk/Rcsk+WepyXlfz582PVqlVo1qwZmjVrhuPHj+PHH39EqVKlcvP2s6XVatGnTx88e/YMCxcuNHgsNTUV8fHxGe5LTk7OML57enrKPj9Nl9lxTF699pvSyyaOGTMmw2NVq1ZFeHg4Xrx4gYiICOzevTvH75YCBQpg9OjRaNeunf4+f39/HDlyBHv37s1VxoePjw8WL16M3r17o2nTpoiMjER4eHiGzGci2QoVAo4d0204ndnxzMmTQFwcMHmyrgRVuv79gUz+ZgDoNsJ+7dpfjh4/BrIaL0NCgG3bdG0mJgLvvPNv1ki65GRdma7XabW6UktvnivlJrMt/Vw0k3NQuLgAmWXeFy6cMQMkM4mJwOulStPL+cfHG/Y9Xz5lN3nfu1f3ubVvn/GxUaOAHj10vxO//aYrI5aSkn17fn667J4qVXRZOCoV8Pnnuk3dX6t6kCkfH2DxYqB3b6BpUyAyEggPB+x5fDPvnAvl1suXL8W3334rSpQoIVQqlcGqiQEDBujj0lcgZ7bRYsmSJfUbF2q1WvHee+8JAMLd3V106dJFrFixQiQlJenj0ze9XbNmTZb9mj17tgAgqlevbpBZ8iZvb2/x/vvv5/g+S5cubfDesrrltJnay5cvRePGjQUAUaRIEfHBBx+I9evXC41Go4/JKtPDxcUlQ3tvrk42x2dDZCkePHiQ49/oxo0bDZ5z4sQJAUC4uLiImzdvZmizX79+Qq1WZ1iZHxUVJQCI0NBQIYR1j0vR0dHC1dVVrFixQn+fJWZ6vO6dd97Rb2aZkwMHDohChQrpP/svv/xSnD171iAmq0yPIUOGZGivdOnSon///vqfP//8c+Ho6Jjl66elpQl/f38BQEyfPj3LuB07dggAYseOHZLeF1FWchrXMpN+7CHlltOK2Ddll+lx//59oVKpxPbt23Ns5/DhwxmyJ3IiZ3Xs+vXrhYuLi1Cr1aJevXpi4sSJIuqNDSuzyvTIbKNhACIkJET/c/v27UW5cuUk92fZsmUCgDh06FCGxyZOnJhtlsXdu3eFs7OzACAiIiKyjPvqq68EgEwzt998PSm/G7ldjZycnCyqVasm3stqVSiRsMzjvOfPn4v79+/rb3FxcRleIygoSADQn++awtChQwVgWGkhXfoxnZRbVsdWUjI9Xr58KQCIr776StHXzkxOmR5Hjx4VAMTFixdzbOuXX34RarVaREZGSn59uWPdm+f2r+vYsaMAIAYPHpzp48z0INnWr9et+FerdVkLEycabsD966+6Ff979mR8bq1amWd6ZDK2ZJvp4eoqxKBBWffxxAndc11chMjsWHXlyn8zE3K6ZUXpTI/339dlyOSkXz9p/ZabTZ1TpseQIbq+S9GmjS42hyw1vZUr5WXZpOvYUdfnLMY3e8JMDys1fPhwrFy5EqNGjULDhg3h4eEBlUqFXr16QavVym5PpVJhw4YNOHr0KLZu3YqdO3di4MCBmDNnDo4ePYoCBQrAy8sLADJsgP66Xbt2AQBiYmLw+PFj+Pj4ZBr37NkzSTVPf/nlF4OVybt27cLs2bMNNsIFgLJly2bbjqurKw4ePIh9+/Zh+/btCAsLw/r169GyZUvs2rUr23rbUmpxm+OzIbIU6WPORx99hH79+mUaU7NmTYOfd+7cCQBISkrC9evX4efnl6vXtuZxacKECXjrrbfQvHlz3Lp1C8C/NaEfPnyIW7duoVSpUlCr1ShevDju3buXoY379+8DgH51dPHixQ3ufzP29VXUUtt83f70TfIkaNasGaKiorB582bs2rULP/zwA/7zn/9g2bJl+OSTT7J9blbjrnhtc1MvLy+kpaXh+fPnKJjJRnM3b97E9evXAejqNWcl/XeH4y4ZKzfjmo+PT4axY/bs2YiNjcWcOXMM7n9zPxpj/PXXX3BxcUGLFi1yjG3UqBGKFy+OX375BZ06dZLUfvqYJsX777+Ppk2bYtOmTfrxdObMmdi4cSPaZ7Zq7jVSx4rsviPeVLJkSQDIdFPgkJCQbJ+7f/9+JCcnA9CNOw0bNsw07unTp8ifP79B5nZm+vbtiyZvbIrZpk0bjBkzxqBefk7tZMXJyQldunTBjBkz8OrVq1y3Q7bNEo/zvvvuO0yaNEn/c+nSpQ3GneTkZP0xS1RUVI5ZVbkxadIkLFmyBDNmzMhQZQHQjdlvju//93//Bx8fnwyZEFkdm0qR2XFMXr32m3bs2IEyZcqgatWqOcZ2794dH3/8MdatWyf5+03Od0t2Hj9+jJMnTwIALl26BK1Wq1i2C9mx99/Xra7ftAnYtQuYPRuYORPYuDHzLAAp5H4ve3n9m+GQmf+NzUhKAq5f12UVvC4wUJcZ8LqPPtLtJdK3r7y+ZOZ/56q4f1+3qffr7t/Xbez+pqdPpWWVfPWVrq/pHjzQ/fzdd8DrY4yMzEFJduzQ7achRY8euj1drl0DKlXKOb5/f/n9efxYl1UE6DaN12oN9wexM5z0sFIbNmxAv379DE6Ik5KS8OzZs0zjr1+/bnBim5iYiPv372fYrKtBgwZo0KABpk2bhrVr16JPnz5Yt24dPvnkE5QqVQqurq6Ijo7O9DWWLVuG8PBwTJs2DaGhofjss8+wefPmDHH37t1DSkoKqqRvtpSN9DTpdHfv3gWgK30il1qtRqtWrdCqVSvMnTsX06dPxzfffIN9+/blqr3XmeOzIbIURYsWRcGCBaHRaCT9LZ07dw6TJ0/GgAEDEBkZiU8++QTnz5+HxxtpplqtFjdv3kTFihX19127dg0AUKZMGQDm+dtTaly6ffs2bty4kenkyNChQwHoTmQLFSqEgIAA7Nu3DwkJCQbp98eOHQMABAQEANCVdXJ0dMTJkyfx/vvv6+NSUlIQGRlpcJ/UNo3h6emJAQMGYMCAAUhMTESzZs0QEhKS46SHFJUrVwYAREdHZ7jYotVq0b9/f7i7u2PUqFGYPn06evToge7du2doJzo6Gmq12uD3jEguqePam1xcXDKMHT///DOSk5ONPjbJzvbt29GiRQvJF7mTkpIylEpRUvHixTF06FAMHToUcXFxqF27NqZNm5bjpIcUlStXxi+//IL4+Pgc/z2Af0tjFS1aVNbrpG+W3LZtWzg5OeHLL79EYGAgSpcunSE2Ojpa0vdN2bJlM/2OqFq1qmK/H69evYIQAs+fP+ekB2XKEo/z3pwQfPN3d+LEibh8+TK+++47fP311xg7diwWLFgg631nZ/HixQgJCcGoUaPw9ddfZxpTuHDhDJ9X4cKFUbx4cUXH9/TP5vUxJa9e+03bt2+XvBl4cnIytFqtSb9bshIUFITnz58jNDQUwcHBmDdvHkaPHp3n/SAbVLw4MHSo7hYXB9SuDUybppv0SD8euH4daNny3+ekpgLR0YYX5rOTXVm3ypV1bWXm3Dldaa0BA3Rljz75RLfR9etjc/Hi/05MpHNxAcqWBZQYO9LPL0+eNJzgiIkB7t4FBg/O+Bypn03VqrpbuvRJ0jp1gObNc9nhHFy4ANy+DWRSLjZT6QsnTTnuBQXpSpSFhgLBwcC8ebrNze2U/U73WDkHBweDVWwAsHDhQoM6869bvnw5UlNT9T8vXboUaWlp+pPJp0+fZmgv/YJX+oq1fPnyoW7duvpVEa+Ljo7GmDFj8N5772HcuHH47rvvsGXLFvz0008ZYk+dOgVAt3Iwr2S2Wu/N92cMa/5siIzl4OCA9957D3/88QcuXLiQ4fGHDx/q/z81NRX9+/eHr68v5s+fj1WrVuHBgwf44osvMm170aJF+v8XQmDRokXIly8fWrVqBcC6//amTp2KTZs2GdymTJkCAPjqq6+wadMmuLm5AQB69OgBjUaD5cuX65+fnJyMlStXon79+vqVyR4eHmjdujV+/vlnPH+tHuuaNWuQmJiInj176u+T2mZuPX6j5miBAgVQvnx5RcZcAPoV1Jn928+dOxcRERFYvnw5pkyZgkaNGuHzzz/PdN+OU6dOoVq1apIuhhJlRu64Zm6pqakIDw/PsJ/HixcvMt0/4o8//sDTp0+z3A/JGBqNJsMFL29vb/j6+io6Vggh9ON8ute/m9I9f/4c8+bNQ5EiRVCnTh1Zr/Ppp59Cq9Xixx9/xPLly+Ho6IhBgwZlOL4GgNOnT+f5sV5cXFyG+549e4Y//vgDJUuWhLe3d572h6yHJR7nlS1bFq1bt9bfXl+QcuzYMXz33XcYNWoU/u///g9jxozBokWLcODAAaM+h3Tr16/HiBEj0KdPH8ydO1eRNo1x6tQpqFSqLDPL8sqDBw9w+vTpDN8tz549M7gOke6HH34AAJN8t2Rnw4YNWL9+PWbMmIGxY8eiV69eGD9+vH7CjShXNJqMF7K9vXV7e6Qfz9StCxQtCixbZrivw6pVQBaLlzP1v/PDTJ/TsKHuQvybx1CpqbqsAV9fYP583Ws+eADk9bFqtWq6iZnly3WfWbqlS3WTOT16GMbHxwNRUYClXh/bsQMoVkz3b/u6TI65kJoK/PSTLntHQjZcrmzYAKxfD8yYAYwdC/TqBYwfr8sssVPM9LBSnTp1wpo1a+Dh4YGqVaviyJEj2L17tz4F+E0pKSlo1aoV3n//fVy9ehVLlixBkyZN0KVLFwDA6tWrsWTJErz77rsoV64cnj9/ju+//x7u7u4GqzW6du2Kb775xmBlsBACAwcOhKurK5YuXQoA+Oyzz/DHH39g5MiRaN26tUGZlPDwcJQqVQq1atUy1ceTweTJk3Hw4EF07NgRpUuXRlxcHJYsWYISJUpkKBuQW9b62RApYcaMGdi3bx/q16+PTz/9FFWrVsWTJ09w+vRp7N69Wz/xOHXqVERGRmLPnj0oWLAgatasiQkTJmD8+PHo0aOHwXjj4uKCsLAw9OvXD/Xr18dff/2F7du3Y9y4cQYrcK31by+zsadQoUIAgHr16qFbt276++vXr4+ePXsiODgYcXFxKF++PFavXo1bt27hxx9/NGhj2rRpaNSoEd555x0MHjwYd+/exZw5c9C2bVuDjSDltJkbVatWRfPmzVGnTh14enri5MmT2LBhg8GmpcYoW7Ysqlevjt27d2PgwIH6+y9fvoxvv/0W/fv3R+fOnQEAq1atQkBAAIYOHYrffvtNH5uamooDBw7oM2uIckPOuGZqW7duxdmzZwHofr/PnTuHqVOnAgC6dOmCmjVr4u+//0ZCQkKGC1PXr19H69at8cEHH6By5cpQq9U4efIkfv75Z5QpUwYjR45UvL/Pnz9HiRIl0KNHD/j7+6NAgQLYvXs3Tpw4kaG8V241adIEXl5e2L17N1q+trJy8eLF+PPPP9G5c2eUKlUK9+/fx4oVK3D79m2sWbMGTq9vMpqDlStXYvv27Vi1ahVKlCgBQLcY6aOPPsLSpUsNxphTp07hyZMn6Nq1qyLvT6r27dujRIkSqF+/Pry9vXH79m2sXLkSMTExWL9+fZ72hayPpR3nZSUpKQn9+vVDhQoVMG3aNAC6MlRbt27FgAEDcP78ef2Cktw4fvw4+vbtCy8vL7Rq1Qq//PKLweONGjXKsbypFOnj9sWLFwHoFq/8/fffAIDx48cbxIaHh6Nx48ZZXgdQwpo1a/DPP//oJ8YPHjyo7+PHH3+M0qVLY8eOHZmWTdy/fz9GjBiBHj16oEKFCkhJScGhQ4ewceNG1K1bFx+9Xo7GxOLi4vD555+jRYsW+uPRRYsWYd++fejfvz/+/vtvlrmi3Hn+HChRQnfR3t8fKFAA2L0bOHECSD+eyZcPmDpVV96oZUvggw90WQwrV+oyKaQKCAAcHHSls+LjdZuCt2ypm2Tp2hWYMgU4cEBXkird1Km67I49e4CCBYGaNYEJE3QXxHv0AIw9Vo2PBxYu1P3/4cO6/y5apNvcvVAh4PXzv9mzgS5ddP3r1Us3SbNokS7z5M0s2N27dTtx5PExk+T3s327Lovnzeybzz7TbcrerBnw1ltAbCzwyy/AlSu634cCBZTvc1ycbsPzFi3+7d+iRcC+fboJr7//ts8yV+bZSoSM9fTpUzFgwABRpEgRUaBAAREYGCiuXLkiSpcubbBpZfpG5gcOHBCDBw8WhQsXFgUKFBB9+vQRjx8/1sedPn1a9O7dW5QqVUo4OzsLb29v0alTJ3Hy5EmD133w4IFwdHQ02Exu/vz5AoD4448/DGJv374t3N3dRYcOHfT3aTQaUbx4cTF+/Phcve/09yPXnj17RNeuXYWvr69wcnISvr6+onfv3uLatWv6mKw2Mndzc8vQXmab75r7syEytwcPHoigoCBRsmRJkS9fPuHj4yNatWolli9fLoQQ4tSpU8LR0VEMHz7c4HlpaWmiXr16wtfXVzx9+lQI8e/fXlRUlGjbtq3Inz+/KFasmJg4caLQaDQZXtcax6XMZLWRuRBCvHr1Snz55ZfCx8dHODs7i3r16omwsLBM2zl06JBo1KiRcHFxEUWLFhVBQUEiISHBqDblmjp1qnj77bdFoUKFhKurq6hcubKYNm2awWbyWW1kHhQUlKG9N7/fhBBi7ty5okCBAvrNgNN/l0qUKCGePXtmEJv+O7F+/Xr9fX/99ZcAIK5fv27s2yU7JWdck6pfv37iHbmbLL72XGSxWW368c2XX34pqlatmuG5Dx8+FIMHDxaVK1cWbm5uwsnJSVSoUEGMGjVKPHz4MFf9yUlycrIYM2aM8Pf3FwULFhRubm7C399fLFmyJMP7ymwj89mzZ2doE5lssjtixAhRvnx5g/t27dol2rRpI3x8fES+fPlEoUKFRNu2bcWezDYYzcadO3eEh4eH6Ny5c4bH3n33XeHm5mawkfPXX38tSpUqJbRSN7F8w5vHqlItWrRINGnSRBQpUkQ4OjqKokWLis6dO4uDBw/mqh9kfyzpOC8rX3zxhXBwcBDHjh0zuP/kyZPC0dFRfP7550Z8Av8e8+U0zmblnXfeyXAsk5nsXuN1z549E05OTuKHH37IsU2pr53Vc7PqT/om6z169DA4vk5348YN0bdvX1G2bFnh6uoqXFxcRLVq1cTEiRNFYmJirvoj1Zv/Jt27dxcFCxYUt27dMojbvHmzACBmzpypv48bmZMsyclCjBkjhL+/EAULCuHmpvv/N45nhBC6+/z8hHB2FqJuXSEOHtRtrp3ZRuaZnBMKIYT4/nshypYVwsEh46bmNWsabmZ+6pQQjo5CvDE2i7Q03abavr5CZHesWrp0zptpR0dnvXF4Zn9HmzYJERCg+wxKlBBi/HghXjtH1PvgAyGaNMn+tXPqU2Ybvkt9bnbv59kz3ef6228Zn//rr0K0bi1EsWK6mMKFdT9v3py79yJF9+663703xjexebOu36+Nb/ZEJUQmOddE2Rg0aBCuXbuGQ4cOyX7un3/+iQ8//BBRUVH6DXdtCT8bImX0798fGzZsQGJioqR4/u3Zp/j4eJQtWxazZs3CoEGDZD+/W7duUKlU2LRpkwl6R2SZqlatik6dOmHWrFnm7kqeuXnzJipXroy//vpLXzbHHJKTk1GmTBmMHTvWJJkzRNYiL4/zbNm8efMwa9YsREVFmXVPnrS0NHh5eSE0NNSismdVKhVWrlyJ/rnYDDgkJASrVq1SbPN0omyl7zmxf7/xba1Zo9vX4fZtXVaCtYqN1W20vm5d3md6SPHbb0CfPsCjR4b7opBFscPcFjLWxIkTceLECRxOT/OSYebMmRg2bJjNXljkZ0NkHvzbs08eHh746quvMHv2bGi1WlnPvXz5MrZt26bfR4XIHqSkpOCDDz7AgAEDzN2VPFW2bFkMGjQIM2bMMGs/Vq5ciXz58mHIkCFm7QeRtTHmOM9WpaamYu7cuRg/frxZJzwA3f6ZX3zxBd59912z9oOIoLsQX6oUsHixuXtinHnzgBo1LHPCA9BNKC1YwAkPC8dMDyIisjhyVwASERERkXXgcR7lBWZ6kNVQMtODiPSY6UFERERERERERERERDaBmR5ERERERERERERERGQTmOlBREREREREREREREQ2gZMeRERERERERERERERkExzN3YE3abVaxMTEoGDBglCpVObuDhFZMCEEnj9/Dl9fX6jVtjGHyzGQiKSwxfEP4BhIRNLY4hjI8Y+IpOIYSET2Ss74Z3GTHjExMShZsqS5u0FEVuTOnTsoUaKEubuhCI6BRCSHLY1/AMdAIpLHlsZAjn9EJBfHQCKyV1LGP4ub9ChYsCAAXefd3d3N3BsismQJCQkoWbKkftywBRwDiUgKWxz/AI6BRCSNLY6BHP+ISCqOgURkr+SMfxY36ZGexubu7s6BjogksaX0V46BRCSHLY1/AMdAIpLHlsZAjn9EJBfHQCKyV1LGP9so/kdERERERERERER5TqPR4Ntvv4Wfnx9cXV1Rrlw5TJkyBUIIc3eNiOyUxWV6EBERERERERERkXWYOXMmli5ditWrV6NatWo4efIkBgwYAA8PD4wYMcLc3SMiO8RMDyKyenPmzEG9evVQsGBBeHt7o1u3brh69apBTFJSEoKCguDl5YUCBQrgvffew4MHDwxibt++jY4dOyJ//vzw9vbGmDFjkJaWZhCzf/9+1K5dG87OzihfvjxWrVqVoT+LFy9GmTJl4OLigvr16+P48eOKv2ciIiIiIiIiSxAREYGuXbuiY8eOKFOmDHr06IG2bdvyXJiIzMaqJz00WoEjUY+xOfIejkQ9hkbLtDkie3T48GEEBQXh6NGjCA8PR2pqKtq2bYsXL17oY7744gts3boVv//+Ow4cOICYmBh0795d/7hGo0HHjh2RkpKCiIgIrF69GqtWrcKECRP0MdHR0ejYsSNatGiByMhIjBo1Cp988gl27typj1m/fj1Gjx6NiRMn4vTp0/D390dgYCDi4uLy5sMgIqvD4xkismcpaVr8eOgmJmy+gB8P3URKmtbcXbIK/NyIrJ9GK3D4+iN8t/MKvtt5FYdvPLLa48BGjRphz549uHbtGgDg7Nmz+Pvvv9G+fftM45OTk5GQkGBwIyL7kZKmxdL919H2PwfQ4rt9+GbjObxK0Sj6GiphYQX2EhIS4OHhgfj4+Gw3Lwq7cB+Ttl7C/fgk/X0FXRwQ2q0GOgW8lRddJSIzy2q8ePjwIby9vXHgwAE0a9YM8fHxKFq0KNauXYsePXoAAK5cuYIqVargyJEjaNCgAf766y906tQJMTExKFasGABg2bJl+Prrr/Hw4UM4OTnh66+/xvbt23HhwgX9a/Xq1QvPnj1DWFgYAKB+/fqoV68eFi1aBADQarUoWbIkhg8fjrFjx+b6PRGRbcrseKa4hwsmdq6KdtWLZ/k8Wx0rbPV9EVHmpmy7hBV/R+P1E1K1Cvi0qR+CO1TN8nm2OFbIeU+hOy7hvwejM9z/WbPsPzcishxhF+5j7B/n8exVqsH9hfLnw4zuNazuOFCr1WLcuHGYNWsWHBwcoNFoMG3aNAQHB2caHxISgkmTJmW435LeExGZxqQtF7Ey4lamj7Wp6o3v+9bL8rlyxj+rzPQIu3Afn/982uACAQA8T9Jg2LpIfPrTCTP1jIgsQXx8PADA09MTAHDq1CmkpqaidevW+pjKlSujVKlSOHLkCADgyJEjqFGjhn7CAwACAwORkJCAixcv6mNebyM9Jr2NlJQUnDp1yiBGrVajdevW+pg3cYULkf3K6ngmNj4Jn/98GmEX7pupZ0REptdl0SH8+MaEBwBoBfDfg9EI3XHJLP2ydFlNeAD83IisRdiF+xjy8+kMEx4A8OxlKoZY4XHgb7/9hl9++QVr167F6dOnsXr1anz33XdYvXp1pvHBwcGIj4/X3+7cuZPHPSaivKbRCtQM2ZnlhAcAhF+KU+y6vtVNemi0ApO2XspwcPy68EtxmLadB3tE9kir1WLUqFFo3LgxqlevDgCIjY2Fk5MTChUqZBBbrFgxxMbG6mNen/BIfzz9sexiEhIS8OrVKzx69AgajSbTmPQ23hQaGgoPDw/9rWTJkrl740RkVbI7nkm/b9LWS1Zb4oCIKDtTtl3AubvZL/T4/lA0Sza9ISVNm+WER7r/HuTnRmTJNFqBEb+eyTHO2o4Dx4wZg7Fjx6JXr16oUaMGPv74Y3zxxRcIDQ3NNN7Z2Rnu7u4GNyKyXZsj76HcuB1ISErLMTb8Upwipa6sbtLjePSTDCsiM8ODZCL7FBQUhAsXLmDdunXm7ookXOFCZJ9yOp4RAO7HJ+F49JO86xQRkUI0WoF9Fx+g3dx9qBi8HRXG7UDjGXuwZN8NJCal4ce//8mxDa0A1hy5ZfrOWpGVh29Kivv4x6Mm7gkR5db88KtI0eQ8mWFtx4EvX76EWm14idHBwQFaLa/LEdkzjVag+ex9GLkuUtbzpiuQuepodAt5LO55zhMe6YI3nsOc9wNM1xkisijDhg3Dtm3bcPDgQZQoUUJ/v4+PD1JSUvDs2TODbI8HDx7Ax8dHH3P8+HGD9h48eKB/LP2/6fe9HuPu7g5XV1c4ODjAwcEh05j0Nt7k7OwMZ2fn3L1hIrJaUo9n5Bz3EBFZgh3n7mPYr6dhsEBZCNx7loRZO69i1s6rktv658lL5TtoxcIvxUmKOxb9FClpWjg5Wt0aRyKbptEKLD0QJTnemo4DO3fujGnTpqFUqVKoVq0azpw5g7lz52LgwIHm7hoRmcnWszEYLiGzLTO3Hht/DGh1R0HeBV0kx26OjLGqdEAiyh0hBIYNG4ZNmzZh79698PPzM3i8Tp06yJcvH/bs2aO/7+rVq7h9+zYaNmwIAGjYsCHOnz+PuLh/TybDw8Ph7u6OqlWr6mNebyM9Jr0NJycn1KlTxyBGq9Viz549+hgiIgAoUkDaZKfUOCIiSxC64xKGrn1jwsMIpT3zK9OQzZD+wQZvPGfCfhBRbhy9+RipMhIf5Fz/MreFCxeiR48eGDp0KKpUqYIvv/wSn332GaZMmWLurhGRGQxYeTzXEx4AUMbL+GNAq8v0eNvPE/kcgFQJpb3StAJHox6jcYUipu8YEZnN//3f/2HDhg3YvHkzChYsqN8/w8PDA66urvDw8MCgQYMwevRoeHp6wt3dHcOHD0fDhg3RoEEDAEDbtm1RtWpVfPzxx5g1axZiY2Mxfvx4BAUF6TMxhgwZgkWLFuGrr77CwIEDsXfvXvz222/Yvn27vi+jR49Gv379ULduXbz99tuYN28eXrx4gQEDBuT9B0NElkvqdSuu3SAiK7HjXEyO+03I9XHDMoq2Z+3aVvXByX+eSYrddOYeZvXwh4NaZdpOEZFks8MuS451zafG236eJuyNsgoWLIh58+Zh3rx55u4KEZlRSpoW/pPC8CrVuBPZcR2qGt0Xq8v0cFCr0LKSt+T4w1EPTdgbIrIEP/74I+Lj49G8eXMUL15cf1u/fr0+5j//+Q86deqE9957D82aNYOPjw82btyof9zBwQHbtm2Dg4MDGjZsiI8++gh9+/bF5MmT9TF+fn7Yvn07wsPD4e/vjzlz5uCHH35AYGCgPuaDDz7Ad999hwkTJiAgIACRkZEICwvLsLk5Edm3Ry+SFY0jIjInjVZg6Nrcr+bLTH2/wizP9Ib+jf1yDvofrQAirj8yYW+ISI6UNC0i7yZIjv+0SVlOWhKRVZm89SIqjv/L6AmPVpW94erkYHR/rC7TAwD6NvLDTon1THdejMVX7aqYuEdEZE7x8fFwd3fPNsbFxQWLFy/G4sWLs4wpXbo0duzYkW07zZs3x5kz2Z/UDxs2DMOGDcs2hojsG8tbEZEtCVp7UvE21wxqoHib1s7JUY2AEu6SL5yGbLuAPZVamLhXRCTFxz8clRyrAjCyTUXTdYaISEEarUCD6bvxMDHF6LZKe7rix/71FOiVFWZ6AECDsl7IJ7HnUQ9fIiVNRtFEIiIiIlNjeSsishEpaVqEXZC2IE0qZnlkbYyMBX08FyayDClpWhy79VRyfPfabzHLg4iswubIeyg3bociEx4tK3nhwFctFeiVjuwjyYMHD6Jz587w9fWFSqXCn3/+afC4EAITJkxA8eLF4erqitatW+P69etK9ReArsRVqyrSS8WsjlC2tiwRERGRMfZeeSApjuWtiMjSyVm9LBWzPLLWoKwXHGRcC/34R+X/fYhIHrnjZGj3mibqCRGRMjRageaz92HkukhF2lvUKwArBih7/Cd70uPFixfw9/fPskTMrFmzsGDBAixbtgzHjh2Dm5sbAgMDkZSUZHRnXydnU7ufj/6j6GsTERER5ZZGK7Ap8p6kWO+CLibuDRFR7sldvSzFwMZlmOWRDQe1Cl39fSXHH4t+ymwPIjOSO04y042ILF16dsetxy+Nbqt0YWdETe+ATgFvKdAzQ7L39Gjfvj3at2+f6WNCCMybNw/jx49H165dAQA//fQTihUrhj///BO9evUyrrevaVDWCw5qQCPh+O2fJ6+QkqblFwcRERGZ3fHoJ3jyIjXHOC83J7zt55kHPSIiyp2xG84q2l4pT1dM6FxN0TZt0Ywe/tgYGSM5fuwfZzH3g1om7BERZUXuOMlMNyKyZB3nH8LF+9L2FsvJgvf90aV2CUXayoyiswDR0dGIjY1F69at9fd5eHigfv36OHLkiJIvBQe1Cq0re0uOZ4krIiIisgRxz6Vlv3YN8GU9ZyKyWBqtkHXhPSclCzvjoIJ1nG2Zk6Ma9csUlhy/6UwMNFpuEkWU1+SOk8zyICJLlZKmRbng7YpMeBRxc0DU9A4mnfAAFJ70iI2NBQAUK2a430axYsX0j70pOTkZCQkJBjep+jbykxy79axyB+REREREuVWkgLOkODn7lxER5bX54VcVa2tA41I49HXrnANJb80n0leDCwDzw6+ZrjNElCm54ySzPIjIEk3achEVx/8FjQLrJwY0LoWT37bLk8V9sstbKS00NBSTJk3K1XPllLi6EJMAjVZwxSQRERGZl9SDRS7KJSILpdEKLN4fJTm+vl9hrBpQHxO2nMOuCw+QnKaFVwFn9KlfGp80LcuVzbmQnu0hda+ARftvYGSbijwfJsojGq3Awn3yxkmOhURkSTRagVqTdyEhKc3otvKpgItT2ufpOKfoK/n4+AAAHjx4YHD/gwcP9I+9KTg4GPHx8frbnTt3JL+enBJXWgFEXH8kuW0iIiIiU3j0IlnROCIiU3mVosHXf0SiwfTdaDh9N4L/OIdXKRpE3Hgka7XfmkEN4OrkgNk9auFsSDtcmdoBh8e2wtAW5XmRzwhysj20gtkeRHlpfvhVWetXmOVBRJYkfbNyJSY8qvrkx/XQjnl+zKdopoefnx98fHywZ88eBAQEAAASEhJw7NgxfP7555k+x9nZGc7O0so8ZKZvIz/svBQnKXbB3mtoWqlorl+LiIiIyFhSy1tJjSMiUppGK/DeksOIvBtvcP+vJ+7g1xN3ICdXoFzR/JzYMBEnRzXKF3XDjYcvJMUz24Mob8jN8uA4SUSWQqMVaDVnP249fqlIe6berDw7skfVxMREREZGIjIyEoBu8/LIyEjcvn0bKpUKo0aNwtSpU7FlyxacP38effv2ha+vL7p166Zw13UalPWC1GO203eecQM3IiIiMi+WtyIiCxZ24T7KjduRYcLjdXKGp5BO1Y3vFGVpYudqkmOZ7UGUN+RmeXCcJCJLkJ7docSER+nCznmyWXl2ZGd6nDx5Ei1atND/PHr0aABAv379sGrVKnz11Vd48eIFBg8ejGfPnqFJkyYICwuDi4uLcr1+jYNahbqlC+H4rWc5xmq0wNGox2hcoYhJ+kJERESUE5a3IiJLFXbhPob8fFqx9tQqoBHPvUyqUfkicFBBcrmxJQeY7UFkSnL3PHJUc5wkIvPrtOAQLsQkKNKWObM7Xic706N58+YQQmS4rVq1CgCgUqkwefJkxMbGIikpCbt370bFihWV7reB4S2lt7/6SLQJe0JEuaHRChyJeozNkfdwJOoxM7KIyKaxvBURWSKNVig64QEA3QJ8eXHdxBzUKgQ1Lyc5Pk3LvS6JTEnunkdD3ynPcZKIzCYlTYsK32xXZMLDErI7Xqfonh7m0qh8EagBaCXE7r3yEBqt4JcKkYlotAIHL8dhRthFXHv4KlfVWXzcnRHSpRraVS+ueP+IiMyO5a2IyAIFrT2peJsz3vNXvE3KaGSbSli4L0ry10bItgvYU6lFzoFEJNvCvdJLyKlVwMg2pl0kTESUlUlbLmJlxC1F2rKU7I7X2cSkh4Naheol3HHubs6zUmlawRJXRApLn+gYv/kc7iWkGN1ebEIyhvx8Gss+qs2JDyKyOXuvPJAUx/JWRJRXUtK0CLsQp2ib9f0Kc2PePOKgVmF4i3JYIHHj5KiHL5GSpuW/D5HCNFohqfR6umHNmeVBRHlPoxWoNXkXEpLSjG7LLR9wblIHixzLbOYop3PNtyTHssQVkTI0WoHZf11BuXE7MGDNSUUmPF43cl0kS10RkU3RaAU2Rd6TFOtd0DT7oRERvenjH44q3uaaQQ0Ub5OyNrJNJci53PDxj8r/mxPZu/nhVyXHqsAsDyLKe+mblSsx4dGvUUlcnNLRIic8ABvJ9ACAfo3KYNqOy5JiWeKKyHibI+9h5LpIk75GcpoWf19/iHcqeZv0dYiI8srx6Cd48iI1xzgvNye87eeZBz0iInuXkqbFsVtPFW1zYOMyzCLIY3KzPY5FP2W2B5GCNFqBhRL//gCgTVVvXpMiojyj0Qq0mrMftx6/NLqtfCrg4pT2Fn8MYdm9k8HJUY3Snq6SYtNLXBFR7nRaeMjkEx7pvj90M09eh4goL8Q9T5IU15Wb/xJRHlE6y6OkpysmdK6maJskzcg2lWTFM9uDSDnzw6/K2o6tX0M/k/WFiOh1W8/GoNy4HYpMeFT1yY/roR0tfsIDsKFJDwD4qEEZybE/Hb1lsn4Q2bLaU3bhwr2c989RSvyrnFdEExFZiyIFnCXFtapSzMQ9ISJSPsvDK78jDn3VUrH2zGXp0qWoWbMm3N3d4e7ujoYNG+Kvv/7K9jm///47KleuDBcXF9SoUQM7duzIo97+y0GtQvcAX8nx6dkeRGQcuVkeTg4qNCjnZcIeERHpDFh5HMN/PaNIWwve98eOUS0UaSsv2NSkR79GZSTH7rsSx70CiGSqNSlMUlkWJdUs4ZGnr0dEZFJSDz14iEJEeSB441nF2mpZyQunJgQq1p45lShRAjNmzMCpU6dw8uRJtGzZEl27dsXFixczjY+IiEDv3r0xaNAgnDlzBt26dUO3bt1w4cKFPO45MKOHv6z4sX8o9ztAZK/kZnkMaVaOGb1EZFIarUCNiWHYd/Wh0W0VcXNA1PQO6FK7hAI9yzs2Nenh5KhGuaL5JcWmaFjiikiOxqHhePpKk+evO74jyyMQke2IS0xWNI6IKLc0WoGNp2Mkx9cr7YExgRXgU9ARagAOKqBw/nzoVa8kLk9uhxUDbGfj8s6dO6NDhw6oUKECKlasiGnTpqFAgQI4ejTzclDz589Hu3btMGbMGFSpUgVTpkxB7dq1sWjRojzuue6cuH6ZwpLjN5+N4WJAIiNotAJLD0jP8lCruIE5EZlW+mblz5ONv4Y3oHEpnPy2nVVO1NrMRubp2lUvjsUS0woPRz1E4wpFTNwjIuvXcd5+3ItPyfPXbVPVG65ODnn+ukREpvJE4mSG1DgiotySuzL5l08bwclRjaAW9nWxTqPR4Pfff8eLFy/QsGHDTGOOHDmC0aNHG9wXGBiIP//8M8t2k5OTkZz871ifkKBc+dg1nzRAxfHZl+NKp9ECR6Me87yYKJeO3nyMVBlV4oY1L2+VFw+JyPIpuVm5iwNwbpLlb1aeHevteRYalZN+sHYi+okJe0JkGwatOoaLsS/y/HXbVPXG933r5fnrEhGZkqebk6JxeengwYPo3LkzfH19oVKpMlzME0JgwoQJKF68OFxdXdG6dWtcv37dPJ0lImi0AvsuPkC7uftQfux2lBm7HeWCt6PW5F34asNZLJBRf96/hLtVn/Tmxvnz51GgQAE4OztjyJAh2LRpE6pWrZppbGxsLIoVM9yLqVixYoiNjc2y/dDQUHh4eOhvJUuWVKzvTo5qlCviJjl+1s7Lir02kb2ZHSb974dZHkRkKunZHUpMePRrVBJXplnHZuXZse7eZ6JBWS84Spw0P3s3nqm8RNnYFnkPe648ypPXUgMo5PpviQROeBCRLfJ2d1E0Li+9ePEC/v7+WLx4caaPz5o1CwsWLMCyZctw7NgxuLm5ITAwEElJSXncUyIKu3AflcbvwIA1J3El7iXS/ne/RgBPX6bit5N3ZbX3VWAV5Ttp4SpVqoTIyEgcO3YMn3/+Ofr164dLly4p1n5wcDDi4+P1tzt37ijWNgCEdJFeIvbs3QRuaE6UCylpWkTelZ6lxSwPIjKFjvMPYeS6SKPbyacCrk1tj0ldahrfKQtgc+WtHNQq1CpdGCduPc0xNn1fD6byEmWk0QoMM2LQdFQBPeqWxMTO1Viiiojof45HS9xPzALXZLRv3x7t27fP9DEhBObNm4fx48eja9euAICffvoJxYoVw59//olevXrlZVeJ7FrYhfsY8vNpxdpzclChQTkvxdqzFk5OTihfvjwAoE6dOjhx4gTmz5+P//73vxlifXx88ODBA4P7Hjx4AB8fnyzbd3Z2hrOzs7Kdfk2j8kWgBiB1KuPjH49i/WeNTNYfIlv08Q+Z7/OTGRWY5UFEytJoBSqP3yGrxF5Wqvrkx45RLYxvyILYXKYHALzt5yk59nCU8bvYE9miHkv/ztXzCrk44PLkdrgR2hEz3qvJCQ8iov/RaAVWR/wjKfbRC+va0yM6OhqxsbFo3bq1/j4PDw/Ur18fR44cMWPPiOyLRisUnfAAgCHNynFlMgCtVmuwB8frGjZsiD179hjcFx4enuUeIHnBQa3Cu7V9Jccfi37KbA8iGVLStDgmYbFtuu6137L5sfTevXv46KOP4OXlBVdXV9SoUQMnT540d7eIbFJ6OSslJjwWvO9vcxMegI1OesjZ12PnxazrrBLZq22R93DmjvzNFFtU9EJkSDtOdBARZeJ49BM8e5UqKda7oOWVt8pOet16uTXtk5OTkZCQYHAjotwLWqvsxSV7rT8fHByMgwcP4tatWzh//jyCg4Oxf/9+9OnTBwDQt29fBAcH6+NHjhyJsLAwzJkzB1euXEFISAhOnjyJYcOGmestAABCu/vLiv/4R+mr1onsnZwsDwAI7W4b5WKy8vTpUzRu3Bj58uXDX3/9hUuXLmHOnDkoXLiwubtGZFM0WoHms/cpUs6qQD4VoqZ3QJfaJYzvmAWyufJWgG5fj3xqSJrtinr4EilpWqvfnIVIKRqtwPBcDJ4tKxXFigFvK98hIiIbEfdc2t4WhfLnk5W1as1CQ0MxadIkc3eDyCakpGkRdiFO0Tbttf58XFwc+vbti/v378PDwwM1a9bEzp070aZNGwDA7du3oVb/e/7YqFEjrF27FuPHj8e4ceNQoUIF/Pnnn6hevbq53gIA3Ybm9csUlrwaPT3bg+fGRNmTm+VR36+wzf9dzZw5EyVLlsTKlSv19/n5+ZmxR0S2Z3PkPUUmOwDdZuW2sndHVmxy1HVQq9CqSrGcA/9ndUS0CXtDZF2Grz0lu5R8i4pFOOFBRJSDIgWk1W7v37CM1V1kTK9bL7emvak38iWyJ3JXHefEXrM8AODHH3/ErVu3kJycjLi4OOzevVs/4QEA+/fvx6pVqwye07NnT1y9ehXJycm4cOECOnTokMe9ztyaTxrIih/7x1kT9YTIdozdIO/vZM0geX+H1mjLli2oW7cuevbsCW9vb9SqVQvff/+9ubtFZBOUzO6wtc3Ks2OTkx4A8HHDMpJjfz4qrb42ka1LSdNix4UHOQe+pppvQawcWN9EPSIisiESZ5TrlbG+LA8/Pz/4+PgY1LRPSEjAsWPHsq1p7+zsDHd3d4MbEcknd9WxFP/5IMDqJmApo/RsD6k2nYmBRit3CRSR/dBoBTZGxkiOt4csDwC4efMmli5digoVKmDnzp34/PPPMWLECKxevTrTeJY4JZJm69kYlBu3A7cevzS6rao++XE9tKNdjEmADU96NCjrBQeJ7+6fJ6+4aRsR5K8QdHdWY/uIZibqDRGRbYlLlLY5udS4vJaYmIjIyEhERkYC0G1eHhkZidu3b0OlUmHUqFGYOnUqtmzZgvPnz6Nv377w9fVFt27dzNpvInugdJZHdV93dA14S9E2yXzkZHsIAPPDr5muM0RWbn74VVnx9pDlAQBarRa1a9fG9OnTUatWLQwePBiffvopli1blml8aGgoPDw89LeSJUvmcY+JLN/AVccx/NczirRlq5uVZ8dmJz0c1Cq0ruwtOZ4lrsje5WaF4MlvA03UGyIi2/NE4mSG1Li8dvLkSdSqVQu1atUCAIwePRq1atXChAkTAABfffUVhg8fjsGDB6NevXpITExEWFgYXFysa1N2ImujdJZHQWcHbBvRVLH2yPzkZnss2n+D2R5EmdBoBRbvj5Icby9ZHgBQvHhxVK1a1eC+KlWq4Pbt25nGs8QpUdY0WoG6U3Zh75WHRrdVurCzTW9Wnh2bHn37NpK+adLWs9LTE4lskdy6pB2q+9jNARwRkRIK5XdSNC6vNW/eHEKIDLf0uvYqlQqTJ09GbGwskpKSsHv3blSsaJ/7ARDlJbnHcNmpVtwN5ye1U6w9shxysj20gtkeRJmJuPEIGhnzgfaS5QEAjRs3xtWrhlkw165dQ+nSpTONZ4lTosxtjryHcuN24NGLVKPbWvC+Pw583dpuy5U6mrsDppRe4kojoXLVhZgEaLTCbn8RyL7JrUuqVgELP6xtwh4REdmeI1GPJMU9e5li4p4Qka2QewxXrIAjCud3wo24l0iDbgWcq5MD3vbzxMLetVHAxaZPD+2ak6Ma5Yu64cbDF5LiF+2/gZFtKvL8mOg1IVsuSo4tVzS/XS0S/OKLL9CoUSNMnz4d77//Po4fP47ly5dj+fLl5u4akdXotOAQLsQYv7+Nkxq4PLWD3X+H2/QILKfElVYAEdelXYwgsjVy65LO71XLogbPw4cPo3PnzvD19YVKpcKff/5p8Hj//v2hUqkMbu3aGa5ifPLkCfr06QN3d3cUKlQIgwYNQmJiokHMuXPn0LRpU7i4uKBkyZKYNWtWhr78/vvvqFy5MlxcXFCjRg3s2LFD8fdLRNZHoxUIv/RAUqynm2VmehCR5ZF7DHdobBuEjW6BGzM64taMjrg5oyMuTm6HlQPe5oSHHZjYuZrkWGZ7EBlKSdMi6pG0SUMACOlU3YS9sTz16tXDpk2b8Ouvv6J69eqYMmUK5s2bhz59+pi7a0QWLyVNiwrfbFdkwqOqT35cm97Roq7ZmYvNH9n2beSHnZfiJMUu2HsNTSsVNXGPiCyLRiuwcJ/0uqTF3J3Q2d/XhD2S7+XLl/D398fAgQPRvXv3TGPatWuHlStX6n92dnY2eLxPnz64f/8+wsPDkZqaigEDBmDw4MFYu3YtACAhIQFt27ZF69atsWzZMpw/fx4DBw5EoUKFMHjwYABAREQEevfujdDQUHTq1Alr165Ft27dcPr0aVSvbl8HvURk6Hj0E8QnpUmK9fFwNXFviMiaJCalYfgvJxBx4wlSxb+ZGfM+qIUFMo7h7Km2PGWuUfkicFBBcnmeJQeY7UGU7uMfjkqOVauARhWKmLA3lqlTp07o1KmTubtBZFUmbbmIlRG3FGlrwfv+drl3R1ZsftKjQVkvqFW6lSo5OXX7GUtckd2ZH34VcrYp/O69AFN1JdfatGmD9957L9sYZ2dn+Pj4ZPrY5cuXERYWhhMnTqBu3boAgIULF6JDhw747rvv4Ovri19++QUpKSlYsWIFnJycUK1aNURGRmLu3Ln6SY/58+ejXbt2GDNmDABgypQpCA8Px6JFi7Bs2TIF3zERWZu450mS4grlz4e3/TxN3BsishaZlTl4kaLBvqsP4T95l6y27Km2PGXOQa1CUPNykifL0rS6aghcGEj2LiVNi2O3nkqO7xbgy+tKRJSjOpPD8ViB0salCztj75hWHHfeYPNLfRzUKtQtXUhSLEtckb3RaAWWHpC+QtBRbb0rVvbv3w9vb29UqlQJn3/+OR4/fqx/7MiRIyhUqJB+wgMAWrduDbVajWPHjuljmjVrBienf8vOBAYG4urVq3j69Kk+pnXr1gavGxgYiCNHjmTZr+TkZCQkJBjciMj2FCngnHMQgP4Ny/BglYgAAJW//UuRMgeA/dWWp6yNbFMJcr5lQrZdMFlfiKxF8MazsuJnvOdvop4QkS1ISdOizNjtikx42Ptm5dmxiyPf4S0rSo7lQR3Zk6M3HyNVKz1+6DvlrXIgbdeuHX766Sfs2bMHM2fOxIEDB9C+fXtoNBoAQGxsLLy9Dff/cXR0hKenJ2JjY/UxxYoVM4hJ/zmnmPTHMxMaGgoPDw/9rWTJksa9WSKyTBJT6uqVYZYHEQFVx29HkpyDtBzYW215ypqDWoXhLcpJjo96+BIpacr9LhJZG41WYOPpGMnxLCVIRNmZtOUiKo7/y+h2CuRTIWp6B5azyobNl7cCdLVL1QCkHKqlH9TxS4rsweywy5Jj1SpgZBvpE4iWpFevXvr/r1GjBmrWrIly5cph//79aNWqlRl7BgQHB2P06NH6nxMSEjjxQWSD4hKTFY0jItvVYd4+vJS2BZAk1pypS6Yxsk0lLNwXJbnE7dg/zmLuB7VM2icy9CpFg8nbLuDw9YeIf5WGwvmd0bi8F8Z3qgZXJwdzd8+uyC0HzVKCRJSZlDQtAibvxMsU4xcSVCvuhu0jmxvfKRtnF1f2HdQq1C1TSHL86oho03WGyEKkpGkReVd6yYRhza0zyyMzZcuWRZEiRXDjxg0AgI+PD+Li4gxi0tLS8OTJE/0+ID4+Pnjw4IFBTPrPOcVktZcIoNtrxN3d3eBGRLbnicTJDKlxRGSbtpy+i0uxLxVt01ozdcl05GZ7bDoTA42UTTJJEZ+sPoEqE8Lw6/G7uP00GfFJGtx68hK/HL+DKhPC8Mnq4+buot3QaAUWStwDBwD8S7hzAS0RZTB5qy67Q4kJjwXv+3PCQyK7GY3llLj6+eg/JuwJkWWQU5dUBevN8sjM3bt38fjxYxQvXhwA0LBhQzx79gynTp3Sx+zduxdarRb169fXxxw8eBCpqan6mPDwcFSqVAmFCxfWx+zZs8fgtcLDw9GwYUNTvyUisnCF8jvlHCQjjohsj0YrMPI3eXXjc+Kgtq1jOFLOyDaVJMcKAPPDr5muM6TXZdEh7L4cl23M7ssP0WXRoTzqkX2Tm+XxVWAVk/WFiKyPRitQb2o4Vhy+ZXRbpQs7s5yVTIpPemg0Gnz77bfw8/ODq6srypUrhylTpkAI864MSS9xJcU/T16xbinZNI1WYJOMuqTda79l0SsEExMTERkZicjISABAdHQ0IiMjcfv2bSQmJmLMmDE4evQobt26hT179qBr164oX748AgMDAQBVqlRBu3bt8Omnn+L48eM4fPgwhg0bhl69esHX1xcA8OGHH8LJyQmDBg3CxYsXsX79esyfP9+gNNXIkSMRFhaGOXPm4MqVKwgJCcHJkycxbNiwPP9MiMiyPJO4SZ3UOCKyPXIvrkkx74NaFn0MR+bjoFahXulCkuMX7b/BbA8T23L6Ls5JzMQ/dzcBmyPvmbhH9k1uloeTgwoNynmZsEdEZE02R95DuXE78DCRm5Wbi+KTHjNnzsTSpUuxaNEiXL58GTNnzsSsWbOwcOFCpV9KFge1Cm2qeucc+D/BG8+ZsDdE5hVx45GkPW7ShXavabK+KOHMmTOoVasWatXS1RoePXo0atWqhQkTJsDBwQHnzp1Dly5dULFiRQwaNAh16tTBoUOH4OzsrG/jl19+QeXKldGqVSt06NABTZo0wfLly/WPe3h4YNeuXYiOjkadOnXwf//3f5gwYQIGDx6sj2nUqBHWrl2L5cuXw9/fHxs2bMCff/6J6tW5eSiRvWOmBxFlR6MVWLxf+sU1KVpWLorO/r6Ktkm2ZUQr6VlAWsFsD1PSaAX+b4O8TK8xG85xIsqE5E5ED2lWjhckiQgA0GnhIYxcF2l0O9ys3DiKb2QeERGBrl27omPHjgCAMmXK4Ndff8Xx4+avO9m3kR92Xso+VTTd5sgYzOrhzy8tskmTtl6UHGsNdUmbNm2abTbZzp07c2zD09MTa9euzTamZs2aOHQo+1Tynj17omfPnjm+HhHZlyNRjyTFMdODyD5F3HgEjYLXLksUdsGK/m8r1yDZpEbli8BBBcm/e8sORmFkm4o8RzaBozcfI1VmsYmUNC2ORj1G4wpFTNMpO6bRCiw9IH0iWq1iKUEi0o0dAZN24nmyxui2+jUqiUldLHsBsqVT/Epmo0aNsGfPHly7plsFcvbsWfz9999o3759pvHJyclISEgwuJlKg7JecJD4jtO0AkejHpusL0TmkpKmxY2HLyTHsy4pEZFxNFqB8EsPJMV6ujHTg8gehWyRviAlJ175HfH3160Ua49sl4NahaDm0jc0T9HwHNlUIiQujnjT4aiHCveEAPmTUMOal+dkIJGdSy9npcSEx7Wp7TnhoQDFJz3Gjh2LXr16oXLlysiXLx9q1aqFUaNGoU+fPpnGh4aGwsPDQ38rWbKk0l3Sc1Cr0Lqy9BJXq49Em6wvROYiZwNz1iUlIjLe8egniE9KkxTr4+Fq4t4QkaVJSdMi6pH0BSnZaVnJC6cmBCrSFtmHkW0qQc6l2lk7L5usL/bsePSTXD3vRC6fR9mbHSb995xZHkTUaYEy5awKOatwa0ZHi6+2Yi0U/xR/++03/PLLL1i7di1Onz6N1atX47vvvsPq1aszjQ8ODkZ8fLz+dufOHaW7ZKBvIz/Jsbsvx7FGJtkUjVZg8xnpG5izLikRkfFiE5IkxRVyzYe3/TxN3BsisjRyFqSooFv992OfOihZyBlODioUdHbA+3VL4PLkdlgxoIHpOko2yUGtwvAW0rM9zt5NQEqazDpMlC2NVuDMP09z9dyzd+N5zUJhKWlaRErcUB5glgeRPUtJ06LCN9txIcb4qkX9GpVE5KQOCvSK0im+p8eYMWP02R4AUKNGDfzzzz8IDQ1Fv379MsQ7OzsbbCZsag3KesFRBaRJOC7QCiDi+iM0rVTU9B0jygNHbz6W9LsP6E6quWKFiMh4j54nS4prVcWbJ81ENupVigYTtpzD7ksPIYRA7VKFsaB3bbg6OeCP09IXpLxbyxdOjmq0quGDVjV8TNhjsicj21TCwn1Rkjdt/vjHo1j/WSOT9smeyDlHe1N6yTHu66Gcj384KjmW58xE9mvy1otYcfiW0e24OADnJrVndocJKD7p8fLlS6jVhv9QDg4O0GotYzWIg1qFrrV8JZ9cLNh7jZMeZDN+ipBesq1NVV58IyJSwlOJm5MXc3cxcU+IyBwGrDyOfVcN6+7vvfoQ1UN2yk67n/Gev3IdI/ofB7UK3WtLP0c+Fv0UKWlaXqBRSG7380h3OOohJz0UkpKmxbFb0rNuutd+i+fMRHao6Yy9uPPsldHttKjoiZUDGyrQI8qM4kcpnTt3xrRp07B9+3bcunULmzZtwty5c/Huu+8q/VK5Ftpd+snC6TvPmC5KNkG3kW6c5Ph+DaWXgiMioqypJJ4LS40jIutRPWRnhgmP18lZFuZfwp0Xmclk5JwjA7psD1LGvafGXTiLeSatjCblTE6WBwCEdudGw0T2JCVNi7Jjtysy4bGoVwAnPExM8UyPhQsX4ttvv8XQoUMRFxcHX19ffPbZZ5gwYYLSL5VrTo5q+Hq4ICY+54MDjRZMFyWbEHHjkeQTa0c1NzAnIlJKrMSD4kKu+UzcEyLKS9W+3YEXqcotnvoqsIpibRG9yclRjfplCkte5c5sD+UUL2RcpqexzycduVke9f0K8/efyI4oVc6qSH4HHBsfyCyxPKD4CF2wYEHMmzcP//zzD169eoWoqChMnToVTk5OSr+UUboFvCU5dvUR6SWBiCzVwr3XJMd2DfDlAExEpACNVmD3ZWlZdkUK5N0eZ0RkWh3m7VN0wsPJgQtSyPTWfNJAVvzYP86aqCf2xTO/cddK4hKk7R1G2Vt1WN51nzWD5P29EJF10mgF6k0NV2TCo2UlL5yc0I7X2/KI3U5Ly8ncCL8UxxJXZNU0WoGTt55JjmeaLhGRMo5HP0F8UpqkWB8PVxP3hojywpbTd3Ep9qWibQ5pVo4nyGRy6dkeUm06E8PzZAV4uhm36GHPZV6vUMKPf0uf9GCWB5F92Bx5D+XG7cDDRGl7NGZnUa8ArBjAydK8ZLejdIOyXnCUeN4gAMwPl75KnsjSyCltVa5ofh7AEREpJDZBWp3tQq758Lafp4l7Q0SmptEKjPhN2dXvDmpgZJuKirZJlBU52R48T1bGESM3Mn/2KhXHo58o1Bv7lJKmxYPn0jNmmOVBZPs6LTiEkesijW6ndGFnRE3vgE4yKg6RMuz2yqaDWoWutXwlxy85cIOrJ8hqySltFdKpugl7QkRkXx5JPIFuVcWbq7iJbMC8XVeVb/ODWhwfKM/IzfZYtJ/nycbQaAXCLz0wup3YeOM31bVncjYw5yJBItuWkqZFhW+240JMgtFtLXjfHwe+bs3jODOx65E6tLu/5Ng0LRBx3bgVGETmIKe0lVoFNJJR+o2IiLL39KW0VOhi7tyElMjaabQCi/ZHKdpmi0pF0dlf+kItIiXIyfbQCmZ7GENOGczsPHlhfOkVeyV3A3MuEiSyXVO2XULF8X8hVWNcOwXyqRA1vQO61C6hTMcoV+x60sPJUY3yRd0kx4dsu2DC3hCZxtGbjyWXtqrgXYAz0ERECrr5MFFSnIpDL5HVmx9+FUqud/fMnw8rB7ytYItE0sg9T2ZVhNyTWgYzJ4WM3AzdnsnJ8uAiQSLb1WnBIVl7+2SlRUVPXJjSgdfWLIBdT3oAwMTO1STHRj18iZQ0qZePiSzDmiO3JMe2qFzUdB0hIrIzGq3A3zceSoot5JrPxL0hIlPSaAUW7lMuy8PZATg9oa1i7ZE8oaGhqFevHgoWLAhvb29069YNV69mX7ps1apVUKlUBjcXF+vN4pNznsyqCLn3JFH6PhLZeSYxs5QMyc3y6BbgywuZRDZGoxWoPuEvRcpZLeoVgJUDGyrQK1KC3U96NCpfBA4yvrM+/lH6KgAic9NoBfZcll4jtml5bxP2hojIvhyPfoLEZGmLJYoUcDZxb4jIlJTM8qjqkx9Xp3VUqDXKjQMHDiAoKAhHjx5FeHg4UlNT0bZtW7x48SLb57m7u+P+/fv62z///JNHPVae3PNkVkXIHaUyNJjpkTtysjwAYMZ70kukE5Hl2xx5D+XG7UBiinEL3N3ygZuVWyBHc3fA3BzUKgQ1L4cFEldmHYt+ipQ0LTeuIqtw9OZjpEocu50cVGhQzsu0HSIisiNySlb4eLiasCdEZEoarcBiGXt5uLs4YH7PWpi58xJuxL2EFoCrkwPe9vPEwt61UcDF7k/RzC4sLMzg51WrVsHb2xunTp1Cs2bNsnyeSqWCj4+PqbuXJ+SeJ6dXReB5sjxKZWgciXqE9+qwdrwccrM86vsV5u83kY3QaAVazdmPW49fGt1Wi4qezO6wUDyiBjCyTSXJB3OALttj/WeNTNgjImXIK23lzVRdIiIFPXourWSFu4sj3vbzNHFviMhUIm48gkZGmsfi3nXQtFJRtKhWzHSdIkXFx8cDADw9sx+rExMTUbp0aWi1WtSuXRvTp09HtWqZl4lKTk5GcvK/3xMJCcaX1VCa3PPk4I3nMOf9ANN1yAYplaGx+3IcNFrB8zkZgjeelRW/ZlADE/WEiPLS1rMxGP7rGUXaWtQrgNkdFoyTHtCtYuke4IuNkTGS4pntQdZAbmmrvg3KmK4zRER26KnE1ZsNy3nxIgWRhYt/mYq+P0TgfEwitNDVCE7PzrgYEy+5HUc1N8G1NlqtFqNGjULjxo1RvXr1LOMqVaqEFStWoGbNmoiPj8d3332HRo0a4eLFiyhRIuMK/NDQUEyaNMmUXTea3PPkjafvYVYPf36nyXAkSpm9UJ69SsXx6CdoyMx9STRagY2npf1eA8zyILIVA1Yex76r0vZczE7pws7YO6YVv+8sHEft/5nRQ15tRu7tQZaOpa2IiMzr5sNESXHlvQuYuCdEZIyms/bCf/IunP3fhAcAaAG8SNFg39WHiHsuvTzN0HfK8wTZygQFBeHChQtYt25dtnENGzZE3759ERAQgHfeeQcbN25E0aJF8d///jfT+ODgYMTHx+tvd+7cMUX3jSbnPFkAmB9+zXSdsTEarUD4JemL1HISG/9KsbZsndx9mJjlIc+MGTOgUqkwatQoc3eFSK/25F2KTHgseN8fB75uzeM5K8BJj/9xclSjfpnCkuPTsz2ILBVLWxERmY9GK7Dvapyk2EKu+UzcGyLKrcrf/oU7T5S5kKhWASPbVFSkLcobw4YNw7Zt27Bv375MszWyky9fPtSqVQs3btzI9HFnZ2e4u7sb3CyRk6MaASWk923R/hvQaOVcTrZfx6OfID4pTbH2nrxQZn8QW6fRCiyUUbbNv4Q7szxkOHHiBP773/+iZs2a5u4KEQDd/j1lx27Hk5epRrXjpNZtVt6lNvdPshYcuV+z5hN5s/fvzNprop4QGYelrYiIzOvozcdITpN20adIAWcT94aIcqPR9J1Ikpo2K8Gw5szysBZCCAwbNgybNm3C3r174efnJ7sNjUaD8+fPo3jx4iboYd4a066K5FitYLaHVHHPkyTFueaTdtnGk8cTksjN8vgqUPrvv71LTExEnz598P3336NwYemLiolMZfLWi6g4/i8YezT3lkc+XJvekcdxVoaTHq+Rm+1xPyEZmyPvmbBHRLnD0lZEROZ1JOqx5FgfD1cT9oSIcmPS1vOISVBuBTbALA9rEhQUhJ9//hlr165FwYIFERsbi9jYWLx69W/WT9++fREcHKz/efLkydi1axdu3ryJ06dP46OPPsI///yDTz75xBxvQVENynpB4nV3AMz2kErqoof21X0kxXlz0iNHcrM8eK4sT1BQEDp27IjWrVubuytk5zRagXpTw7Hi8C2j2xrQuBQOB7c1vlOU5zjp8Qa52R4j10XygI4sToSMDfFY2oqISHlC4hrCAs66jZCJyHKkpGmx8vBtRdvsFlCcx1tWZOnSpYiPj0fz5s1RvHhx/W39+vX6mNu3b+P+/fv6n58+fYpPP/0UVapUQYcOHZCQkICIiAhUrVrVHG9BUQ5qFT5/p5zkeGZ7SCTxMkLlYhLLi3GIyZHcLI8hzcpx7JZo3bp1OH36NEJDQyXFJycnIyEhweBGpIStZ2NQbtwOPEw0ruRfPhVwbWp7TOxcQ6GeUV5zNHcHLE16tsexW08lP6fH0sPYFNTEhL0ikifswv2cg/6Hpa2IiJR3/9lLSXFtq/rwZJrIwnz8w1HF25zVI0DxNsl0hMj5suj+/fsNfv7Pf/6D//znPybqkfmNbFMJC/dFSb5gvOxgFEa2qcjvuGzEJSZLivvnqbRjirgEaeWy7JVGK7D0gPQsD+7DJN2dO3cwcuRIhIeHw8XFRdJzQkNDMWnSJBP3jOzNgJXHFdmsvKpPfuwY1UKBHpE5MdMjE3KzPc7cicfWszEm6g2RPClpWkQ9lHZgzHRdIiLlabQC285Jm3z28ZB2YkhEeSMlTStr8ZMU7asV4ya4ZPUc1CoMbyE92yNFI3BURqlHe/RE4qSH1MkMbmSePTkloAHuwyTHqVOnEBcXh9q1a8PR0RGOjo44cOAAFixYAEdHR2g0mgzPCQ4ORnx8vP52584dM/ScbEntSbsUmfBY8L4/JzxsBI++M+HkqEa76t6ynjP81zMsc0UWYXXELcmxLG1FRKS8ozcfIyXjuV2mOAQTWZaxG84q2p5aBSzqU0fRNonMZWSbSrIqKM3aedlkfbEFnm5OkuK8C0rbq+Pus1c5B9mx2WHSfx+Z5SFPq1atcP78eURGRupvdevWRZ8+fRAZGQkHB4cMz3F2doa7u7vBjSg3UtK0KDN2O568SjWqnSL5HRA1vQO61C6hUM/I3DjpkYXFH9aV/ZyaE/8yQU+I5Nl67p7kWJa2IiJSnpx9lRqWLWLCnhCRHBqtwMZIZbO3l/SpzQUmZDPkZnucvZuAlDQZS+vtjLe7tGzPMkUKSIrbEhnDhZhZSEnTIvKu9D0jmOUhT8GCBVG9enWDm5ubG7y8vFC9enVzd49s2OStF1FxvPHXYltW8sLJCe34d29jOOmRBQe1CsObSz+gA4AXqQL+IZz4IPPRaAUuSDyYc1SztBURkSnceyptpSVLDBJZlvnhVxVrSw1g2Ue10a56ccXaJLIEcrM9Pv5R+T1ybIbkjcwLwtMtX45xj1+k4Hj0EyM7ZZvkZPGpwCwPImvQdOZerDh8y+h2FvUKwIoB8rY5IOvASY9sjGor74AOAOKTtCgXvJ0rWsgsIm48gtTfvJaVi3IWm4jIBF6lpEmKY4lBIsuh0Qos3Cd9g1s/T2e0qOAJ5//9CasAuDiqUbV4QazoVw/Xp3fghAfZJAe1Ct1r+0qOPxb9lOfGWdh75YGkuCevUvBuwFuSYuOeczPzN8nN4ute+y0enylg//79mDdvnrm7QTYoJU2L8uO2447EhWZZKZBPhajpHdBJ4vhK1sfR3B2wZA5qFRb2CsCwdZGynqcRQMXxf6FOaXf8+mljblxIeWbh3muSY/s19DNhT4iI7JNGK7D/mrQN9OqWLmzi3hCRVPPDr0pddA0A2Dm6JY/xyW6FdvfHH6elX0T++MejWP9ZIxP2yPpotAKbIqWVJfYu6IKWlYvhRwkrmou4Sdv/w57IzeIL7V7TRD0hImNN3npRkeyOFhU9sXJgQ+M7RBaNkx456BTwFjaeuYO9Vx/Lfu6pfxL0teXcnBzwtp8nFvaujQIu/NhJeRqtwMl/nkmKdVCDJVWIiEzg6M3HSE6Tdum0SAHbujAREhKCSZMmGdxXqVIlXLlyxUw9IjKUmJSG4b+cQMSNJ0gRgLOjGmWLumF060qysjzKFc3PCQ+ya06OatQvUxjHbj2VFJ+e7cG/m38dj36CJy9y3nTXy80Jb/t54uhNidcjmKBgQKMVWLyf4zuRtdNoBRpM342HiSlGt7WoVwCzO+wEr75LsGJAA9SdshOPXkgrV5GZFyka7Lv6ENVDduYYqwbgykkSkunozceQum9d7ZKFmLJLRGQCcjYx9/FwNWFPzKNatWrYvXu3/mdHRx7DkGXotOAQLsQY7nuWlKbFpfvP8cmak7LaCunETVmJ1nzSQNbmsWP/OIu5H9QyYY+sS2yCtDJUXQJ84aBWIU5ivNQ4exFx4xE0MtL4OL4TWZ4d5+5j6NrTRrdTxM0Bx74J5LUwO8IpbImOfdM2z15LC8NJkkrfbMfey3HQSL2iTXbpp4hoybEjWnJjNiIiU5C6gahrPjXe9vM0cW/ynqOjI3x8fPS3IkWKmLtLRKj87V8ZJjxyy1ENNKrA32ui9GwPqf6MjOH57GueJCZLiitRSLdA4skLaaubpcbZi0lbL0qO5fhOZHkmb72oyITHgMalcPLbdpzwsDOc9JDIQa3Ckg/NszIlWQMMXH0C5cbtwJbTd83SB7JsGq3A7itxkmLVKts7mDt8+DA6d+4MX19fqFQq/PnnnwaPCyEwYcIEFC9eHK6urmjdujWuX79uEPPkyRP06dMH7u7uKFSoEAYNGoTExESDmHPnzqFp06ZwcXFByZIlMWvWrAx9+f3331G5cmW4uLigRo0a2LFjh+Lvl4gsk0YrcEpiqY/qvu42edB9/fp1+Pr6omzZsujTpw9u375t7i6Rnas6fjuSUpXbRHnoO+Vt8m+XKDfWfNJAcqxWABHXpWdD2jpPNydZcZ4SS2JKjbMHKWla3Hj4QnI8x3ciy9Jx/kFF9u+4NrU9JnauYXyHyOpw0kOGDjV98WnTMmbtw4jfzuKdmbu5SoYMHL35GBqJ5/O2eKHt5cuX8Pf3x+LFizN9fNasWViwYAGWLVuGY8eOwc3NDYGBgUhK+jf9u0+fPrh48SLCw8Oxbds2HDx4EIMHD9Y/npCQgLZt26J06dI4deoUZs+ejZCQECxfvlwfExERgd69e2PQoEE4c+YMunXrhm7duuHChQume/NEZDEibjyC1Eur9Wwwy6N+/fpYtWoVwsLCsHTpUkRHR6Np06Z4/vx5ls9JTk5GQkKCwY1IKR3m7cPL3FenzUCtAka2YbYsUTq52R4h23hMnM7b3UVWnLfEyQypcfbg4x+OSo7l+E5kOTRagcrjd+Di/azPIaQo5KzCrRkduU+PHeO/vEzfdKyGT5v6mbUP/zxNRrlxO7DjXIxZ+0GWY82RW5JjO/v7mq4jZtKmTRtMnToV7777bobHhBCYN28exo8fj65du6JmzZr46aefEBMTo88IuXz5MsLCwvDDDz+gfv36aNKkCRYuXIh169YhJkb3d/bLL78gJSUFK1asQLVq1dCrVy+MGDECc+fO1b/W/Pnz0a5dO4wZMwZVqlTBlClTULt2bSxatChPPgciMq+Fe69Jjm1crqgJe2Ie7du3R8+ePVGzZk0EBgZix44dePbsGX777bcsnxMaGgoPDw/9rWTJknnYY7JlW07fxaXYl4q2Oaw5VwETvUlOtkfUw5dISVMu88qqSV3DmB4ndejhEAVAl+VxTGL2LcDxnchSbI68h3LjdiApzbiF3i0qeiJyUgeFekXWipMeufBNx6pY8mFtc3cDQ9eewbTt0mtUkm3SaAX2XH4gOb5fI/NO2uW16OhoxMbGonXr1vr7PDw8UL9+fRw5cgQAcOTIERQqVAh169bVx7Ru3RpqtRrHjh3TxzRr1gxOTv+mogcGBuLq1at4+vSpPub110mPSX8dIrJdGq3AyX+eSYp1UAMNynmZtkMWoFChQqhYsSJu3LiRZUxwcDDi4+P1tzt37uRhD8lWabQCX/x+VtE2uQqYKHNOjmoUKyg9u+DjH6Wvvrdlj15I29MjPe6RxD1ApMbZOjlZHipwfCeyBJ0WHMLIdZFGt7OoVwBWDmxofIfI6plk0uPevXv46KOP4OXlBVdXV9SoUQMnT540xUuZTYeaxRE1vQPcXRzN2o/vD93ClG2c+LBnR28+htRS1eWK5re71L7Y2FgAQLFixQzuL1asmP6x2NhYeHt7Gzzu6OgIT09Pg5jM2nj9NbKKSX88MyztQmQbjt58DKmVJ2uXLGQXqwkTExMRFRWF4sWLZxnj7OwMd3d3gxuRsSJuPIJG4Uqw//kgwC7+bolyY1AT6YuqjkU/ZbYHgCISy1ClxxVxkxgvMc6Wyc3yeLeWL8d3IjNKL2d1Ica4ayEF8qkQNb0DOgW8pVDPyNopfvXz6dOnaNy4MfLly4e//voLly5dwpw5c1C4sPRan9bCQa3CuZBADGhUxqz9+PHvW5i2/ZJZ+0DmExElfUPAwGo+JuwJ5QZLuxDZBjllBke0tM3VhF9++SUOHDiAW7duISIiAu+++y4cHBzQu3dvc3eN7EzIFmUXBFX3dUdXnkATZal/Y3mZ5Mz2AMtbmZCcLA8AmPGev4l6QkQ52Xo2RrFyVhemdOAEJhlQfNJj5syZKFmyJFauXIm3334bfn5+aNu2LcqVK6f0S1mMiV2q4drU9qhbupDZ+vD9oWjsOHffbK9P5nP85mPJsbZYQz4nPj66iZ4HDwxLgD148ED/mI+PD+Li4gweT0tLw5MnTwxiMmvj9dfIKib98cywtAuR9ZNTZtBRDTSqUMTEPTKPu3fvonfv3qhUqRLef/99eHl54ejRoyha1P6+e8h8UtK0iHr0QrH23JwcsG1EU8XaI7JFcjc0Z7YHsPeKtOMGueWt5JQ9tkVyszzq+xW2u0oIRJZi4KrjGP7rGaPbYTkryorio/uWLVtQt25d9OzZE97e3qhVqxa+//77LONtpbSLk6MaGz5vjGtT22NMYAX4FHTM80UWQ9eehkZqbQ2yCRqtwKnbzyTFOtpJDfk3+fn5wcfHB3v27NHfl5CQgGPHjqFhQ90XY8OGDfHs2TOcOnVKH7N3715otVrUr19fH3Pw4EGkpqbqY8LDw1GpUiV9JlvDhg0NXic9Jv11MsPSLkTWT06ZwVo2XNpq3bp1iImJQXJyMu7evYt169bZ9KIXskzBG5Xby8NJDVyc3E6x9ohsmZwNzQFg7B/K7rtjTTRagU2R9yTFehd0MfhvTjZHxtj1NYGxG+T9Xq0ZJO/3loiU0WTGHuy98tCoNpzVYDkrypbikx43b97E0qVLUaFCBezcuROff/45RowYgdWrV2cab2ulXZwc1QhqURFHvwlE9IyOuDWjIy6EBKJFBU8458E1jtZz9pv+RchiyKkhX7W4u81eaEtMTERkZCQiIyMB6DYvj4yMxO3bt6FSqTBq1ChMnToVW7Zswfnz59G3b1/4+vqiW7duAIAqVaqgXbt2+PTTT3H8+HEcPnwYw4YNQ69eveDr6wsA+PDDD+Hk5IRBgwbh4sWLWL9+PebPn4/Ro0fr+zFy5EiEhYVhzpw5uHLlCkJCQnDy5EkMGzYsrz8SIspDh69LLzNYz8/ThD0hsm8arcDG0zGS410csz4uquqTH9emd1SiW0R2QW62x6Yz9ntx/nj0Ezx5kZpjnJebE97+33HD236e8HTLl+NzHr9IwfHoJ0b30RpptAIbI6V/BzDLgyjvpaRpUX7cdtx9lmRUO1V98uPq9I42e42LlKH4LtxarRZ169bF9OnTAQC1atXChQsXsGzZMvTr1y9DfHBwsMFFw4SEBKuf+HhTARdHrBwkPdUq/mUqGkzfjVe5SPmNfvwSmyPvse6wnZBTQ76zv6/pOmJmZ86cQadOnfQ/p48p/fr1w6pVq/DVV1/hxYsXGDx4MJ49e4YmTZogLCwMLi7/rpj65ZdfMGzYMLRq1QpqtRrvvfceFixYoH/cw8MDu3btQlBQEOrUqYMiRYpgwoQJGDx4sD6mUaNGWLt2LcaPH49x48ahQoUK+PPPP1G9evU8+BSIyFz+lLhaE7DPMoNEeWV++FXJZfIB4FxIO2i0AhO2nMPuSw8hhEDtUoWxoHdtFHBR/DSJyOat+aQBKo7/S1KsADA//BpGB1YybacsUNxzaRf7ugb8u8G2g1qFdwPewo+HbynWvq2ZH35VVjyzPIjy1uStF7FCwhiWkwXv+6NL7RLGd4hsnuJH88WLF0fVqlUN7qtSpQr++OOPTOOdnZ3h7OysdDesmkf+fLg8tT02R97DyHWRsp8/al0kOtX05YynjZNTQx4A+jWSt8GgNWnatCmEyPoyh0qlwuTJkzF58uQsYzw9PbF27dpsX6dmzZo4dOhQtjE9e/ZEz549s+8wEdmMlDQtYuKlXVxwsNMyg0RKepWiwYQt57DrwgMkp2nhVcAZfeqXxoDGfli4L0pyO/4l3PUrfGf3qGWq7hLZlfRsD6l7KizafwMj21S0u/PWIgWkXf9oVaWYwc8tKxeTNOlRxM3+rq9otELWdwCzPIjyVtOZe3Hn6Suj2nBWA5emcrNykk7xUb5x48a4etVwhv3atWsoXbq00i9l87oGvIWo6R3glk/eH7QAMHztadN0iiyGnBry5Yrm50EdEZEJyNk/oLYN7+dBlBcGrDyOKhPC8PvJGMQnaZCUJnDvWRJm7byKKhPCZGV5fBVYxWT9JLJncvb20ApdtofdkTpYvRkn9RDCDg815Gb6McuDKG+kl7MydsKD5awoNxS/CvrFF1/g6NGjmD59Om7cuIG1a9di+fLlCAoKUvql7IKDWoWLUzqgkKuDrOftuBCLlFyUxyLrERElvYZ8YDUfE/aEiMg+yd0/YETLiibsDZFtqx6yE/uuGrfhZTonBxWzrohMxMlRjfJF3STHL9p/w+729nj0IjlXcY8SJT5PYpyt0GgFFu+XnuXBBYFEeWPKtkuoOP4vGHtpcsH7/tgxqoUynSK7ovhIX69ePWzatAm//vorqlevjilTpmDevHno06eP0i9lVyIntst2s8XMvDNrr4l6Q5Yg7MJ9ybGsIU9EpDw5qwrVKqBRhSIm7Q+Rrar27Q4kJqUp1t6QZuW4UpDIhCZ2riY51h6zPaSWt3ozTmrZKnsrbxVx4xE0MubNQjpxv0UiU+u08BB+/DvaqDbUAKKmd+D+HZRrJpne7tSpE86fP4+kpCRcvnwZn376qSlexu6cC2knK/5+QjI2y9hclaxHSpoWUQ9fSorlakYiIuXJrR3duoo3L7IS5UKHefvwIlW5VeBqFTCyDbOuiEypUfkicJDxlbfkgJ1le7C8laJCtlyUHOuo5iIUIlNrHLobF+4lGNVGYRc1bs5gOSsyDnP6rIiToxodqhfLOfA1X6yPtK8DSDuxOuKW5NgWlXmhjYhIaXJrR/dr6GeyvhDZqi2n7+JSrLRFHlINa16ex0VEJuagViGoeTnJ8WlaIOK69NK91o7lrZSTkqZF1KMXkuOHvsPvACJTSd+/4168cWNQi4qeOBPSXqFekT3jpIeVWfhhHVkLN+wxXdge/Hz0luTYvg3KmKwfRET2SG6WBzPuiOTTaAVG/nZW0TaZ5UGUd0a2qSTrvDVk2wWT9cXSsLyVcoI3Sv+eUIHfAUSmMnnrRUX271jUKwArBzZUplNk9zjpYWUc1Cos7BUg6zn2uDmcLUtJ0+KfJ68kxTqqeaGNiEhpcrM8uH8AkXxy/86k+M8HAfxbJMojDmoVhreQnu0R9fAlUoy9WmYtWN5KERqtwMbTMZLj363ly+8AIhNoOnMvVhy+ZVQbBfKpEDW9AzoFvKVMp4jASQ+r1CngLdQq6S45ntketkVOaauWlYvywI6ISEEarcACGVkeXFlOJJ/cbCopqvu6oytPpInylNxsj7F/KJvdZan2XnkgKS635a32XJbWvrWTOzk+4z1/k/WFyF5VHf8X7jyVtig3Ky0qeuLClA68dkWK46SHldrweRNZ8cz2sB1ySluxhjwRkbKGrz0lK577BxDJp3SWh5uTA7aNaKpgi0Qkhdxsj01nYmz+nFWjFdgUeU9SrHdBl2x/zsrmSPv4HOVMjvuXcIeTIy9/ESklJU2LMmO346WRGXosZ0WmxFHfSjmoVRgh4wCS2R62gaWtiIjMJyVNix0XpK+eZJYHkXwarcDSA8pleTipgYuT2ynWHtmH0NBQ1KtXDwULFoS3tze6deuGq1ev5vi833//HZUrV4aLiwtq1KiBHTt25EFvLdvINpUkxwrY/jnr8egnePIiNcc4LzcnvO3naXDf236e8HTLl+NzH79IwfHoJ7nuozWQOzn+VWAVk/WFyN6k799hDCc1WM6KTI6THlZMbrrwsoNRNr/iw9axtBURkfl0nH9AVjyzPIjkO3rzMVIVKutf1Sc/rk3vqExjZFcOHDiAoKAgHD16FOHh4UhNTUXbtm3x4sWLLJ8TERGB3r17Y9CgQThz5gy6deuGbt264cIF+9mgOzMOahXqlS4kOd7WKxTEPU+SFNc1IOP+Ew5qFd6VeIFQ6utYI7lZHk4OXAxIpBQl9u94yz0frk3vyPMkMjlOelgxuenCKRqBo1GPTdgjMjWWtiIiMo9tkfdw/eFLyfHM8iDKndlhlyXHqlXA2Qlt0aKCJ5xVuhMbNycHtKhUFBdCArFjVAvTdZRsWlhYGPr3749q1arB398fq1atwu3bt3HqVNYlDufPn4927dphzJgxqFKlCqZMmYLatWtj0aJFedhzyzSilfTvQ1uvUCC1RFWbqj6Z3t86i/tz+zrWSG6Wx5Bm5XhxlchIGq1ApW+2G71/R8tKXjg8rq1CvSLKHic9rJzcbI9ZO6WfSJJlYWkrIiLz0GgFhq+LlPUcZnkQyZeSpkXk3QTJ8cOal4dH/nxYOaghroZ2xM0ZHXFxcjusHPA2Crg4mrCnZG/i4+MBAJ6enlnGHDlyBK1btza4LzAwEEeOHMk0Pjk5GQkJCQY3W9WofBE4yPhKtOUKBXVKF0ZOhwdqlS7OFM+3dnJLIHIRSt7JbVlAsnxbz8ag3LgdSNYY186iXgFYMaCBMp0ikoBnA1YuPdtjgcT0zrN3E5CSpuUmXlaIpa2IiMxj+NpTslYUOqh5gk2UlVcpGny7+Sy2Rd5H0v9Onp0d1Cjn7QYPV+mnJirw74zyhlarxahRo9C4cWNUr149y7jY2FgUK1bM4L5ixYohNjY20/jQ0FBMmjRJ0b5aKge1CkHNpZ+zplcoaFyhiIl7lvdO/fMUOc3naIUurmEmi9iMfb61k1sCkYtQ8k56WcB69eohLS0N48aNQ9u2bXHp0iW4ubmZu3uUSwNXHcfeKw+NaqNAPhXOTmrPv0XKc7zybQPkZnsEbzxnsr6Q6bC0FRFR3pO7eTkAzPugFg/qiTIxaNUJVJkQhg2n/p3wAIBkjRaX7j/HkZtPJbfVvfZb/DujPBEUFIQLFy5g3bp1irYbHByM+Ph4/e3OnTuKtm9pWKFAR+peG1nFGft8aye3BCInx/NObsoCkmVrMmOP0RMeLSp64sKUDjxmI7PgpIcNcFCr0L22r+T4TWfu2Wy6sK1iaSsiIvP4+IejsuIreLuhs7/072Qie/HOrL3YcyVOsfZCu9dUrC2irAwbNgzbtm3Dvn37UKJEiWxjfXx88OCB4ST5gwcP4OOT+R4Mzs7OcHd3N7jZMrn7UaZXKLA1RQo4GxVXxE3i8yXGWZPclEDkhVbzyaksoD2V+LM26ft33H1m3OTpol4BWDmwoUK9IpKPkx42IrS7v+RYrQAirj8yYW9IacEbz0qOZWkrIiJlpKRpceyW9JXnALB9RDMT9YbIeg1ceVTy4g0pyhXNz1KtZFJCCAwbNgybNm3C3r174eeXcxZ1w4YNsWfPHoP7wsPD0bAhL/ikk5vt8fGP8hYeWAWpaw+zipP6Adrg6aCchSgsgWheUsoChoaGwsPDQ38rWbJkHveSMqPU/h1R0zugU8BbynSKKJd4tmAjnBzVCCghfXXQgr3XTNgbUpJGK7D5TIzkeJa2IiJSRsf5B2TFd6juwwuxRG/YFnkPe68+VrTNkE5Z76tApISgoCD8/PPPWLt2LQoWLIjY2FjExsbi1at/J+/69u2L4OBg/c8jR45EWFgY5syZgytXriAkJAQnT57EsGHDzPEWLJLcCgXHop/aXLbHoxfJRsU9SpT4fIlx1kLuQhSWQDQvKWUB7a3EnzUYuOo4hv96xqg2CjmrcGtGR/79kUXgmbkNGdOuiuTY03eescSVlTh68zHSJP5TsbQVEZEytkXew/WHLyXHqwAs/LC26TpEZIU0WoER6yIVbdNRrUIjG9zcmCzL0qVLER8fj+bNm6N48eL62/r16/Uxt2/fxv379/U/N2rUCGvXrsXy5cvh7++PDRs24M8//8x283N7JKdCAWB72R4sb5U7csuNsgSi+UgtC2hvJf4snVL7d0RO6qBQj4iM52juDpByGpT1goMK0Ei4QK7RAkejHqMxTxot3k8R0ZJjWdqKiMh4ublQO7wF60YTvWl++FUovUZ7zvv+/FsjkxMi5xOq/fv3Z7ivZ8+e6Nmzpwl6ZDucHNWoX6aw5FX76dkeNpNJyfJWssnN8qjvV9h2fl+siBACw4cPx6ZNm7B//35JZQHJ/DRagarfGl/OalGvAJazIovDbwIb4qBWoXUVb8nxq49Iv5hO5qHRCoRfkr7pJ0tbEREZT+6FWgc160YTvUmjFVi4L0rRNv288qMrT6iJrN6aTxrIih/7h/T9DS3d3isPcg6C8eWt9lyW9jrWYOwGef/+awbJ+/0iZUgpC0iWRYn9O5zU3L+DLBcnPWxM30bSL3rvvhzHElcWLuLGI8kX3ljaiojIeBqtwAKZF2rnfVCLK8+J3jA//KrkBc1S7f6/5gq3SETmkJ7tIdWmMzE2cd6q0QpsirwnKda7oIus+9+0OdKWPjPp+1syy8N8pJQFJMuhxP4db7nnw7Xp3L+DLBe/DWxMg7JecJQ43mgFEHH9kWk7REZZKGPD+a4BvvyyISIyUtDak7LiK3i7obO/9E1ZieyBRiuw9ICyWR7LPqrN4xwiGyIn20MAmB8u/bzIUh2PfoInL1JzjPNyc8Lbfp6ZPva2nyc83fLl2MbjFyk4Hv1Edh8tTcSNR7Im0JnlYT5CiExv/fv3N3fX6A1NZiqxf4cXDo9rq1CPiEyDkx42xkGtQtda0i++hGy7YMLekDE0WoGTt55JjudmbURExklJ0yLsgvSSggCwfUQzE/WGyHodvfkYqQpt5qGGbsKjXfXiyjRIRBZBbrbHov03rD5zIe55kqS47BazOahVeFdiGRmpr2fJQrZclBzLLA+inNWatBN3nxo3NgxqUhorB3KCkSwfvxFsUGh3f8mxUQ9fIiVN6S0mSQlHbz6WXNrK18OFB3hEREb6+IejsuI7VPfh2EuUidlhl2XF96jji4JOugt8KgAujmpULV4QK/rVw/XpHTjhQWSj5GR7aIX1Z3sUKeAsKa5VlWLZPt6ycvaP61/PTdrrWaqUNC2iHr2QHM8sD6KsabQCFcdtx9NXaUa1s+TDWvi2U3WFekVkWo7m7gApz8lRjfJF3XDjobQDhOCN5zDn/QDTdopk+ylC+kbzXQJ4MYCIyBgpaVocu/VUcrwKwMIPa5uuQ0RWKiVNi8i7CZLjR7Qoj9GBlfBdz1om7BURWSK5561LDtzAyDYVrbfUndRElZzipL59K/2Y0slZjFKsoBMXohBlYevZGKP37yiS3wHHxgda7/hLdomTHjZqYudq+HjFcUmxmyNjMKuHPwcvC6LRCuy8JL3EStPy3ibsDRGR7ZOb5TGvVwC/N8luJSalYfgvJxBx4wmSBZBPrYK3uzP61C+NP07dkdyOCsDINhVN11EisnhyzlvTtLo9KZtWKmriXpnGoxfJisQ9SpTYjsQ4SyR3McrAJn4m7A2R9Rq46rjR+3e0rOSFFQOYSUXWh5MeNqpR+SJQA5LKI6VpBY5GPUbjCkVM3S2SaH74VcmxjmoVGpTzMmFviIhsm9wT6+LuzugqsZ42ka3ptPAQLtwzzORI1Qrce5aEWTulH78AQPfab3HykMjONSpfBA4qQCMxCyJk2wXsqdTCtJ0yEe+CLorEKdWOJZO7GGVA47Im6gmR9WoyYw/uPjNu/45FvQLQiec9ZKWY/2ejHNQqtKkqffX/T0dvma4zJItGK7D0QJTk+Ow2uiMiopyN3XBWVvyBr1qaqCdElq1myM4MEx7GCO1eU7G2iMg6OahVCGpeTnK8Ne9JWad0YeR02qZW6eLyoh1LJXcxCjcwJzKk0QpU+ma7URMeTmoganoHTniQVeM3gw3r20h6iue+K3HQaKUWGSVTOnrzMVJlHMfzggERUe5ptAIbI2Mkx/PEmuxVh3n7kJBk3OaXr+PfEhGlG9mmkqz44I3nTNQT0zr1z1PkdMqtFbq4vGjHUgVvlLcYhRuYE/1rx7n7KDduB5I1uW/D1z0frk3vyMW1ZPV4pmHDGpT1Qj6J/8IpGl2JKzK/2WGXJceWK5qfFwyIiIwgp5wgwBNrsk9bTt/FpdiXirbJvyUiSuegVqF7gK/k+I2n71nlgr2459JWXecUp1Q7lkijFdh4motRiHJjyrZLGLr2tFFtVPNxQ8S4tgr1iMi8+O1gwxzUKrSqUkxyPEtcmV9KmhaRd6WXjQjpVN2EvSEism0arcDi/dLLCfLEmuyRRisw8jd5q25zwr8lInrTjB7+kmMFgPnh10zXGRMpUsBZkbgibhLbkRhnSeaHX4Wc6SxOoBPpDFx5HD/+HW1UG60qF8H2Uc2V6RCRBeDZho37uGEZybEscWV+cjZsU6uARtx8nogo1yJuPJK8cSrAE2uyT3IvQEnBvyUiepOToxoBJdwlxy/af8P6zl2ldjenOKkVZ6ysMo1GK7Bwn/TFKP4l3DmBTgSg44KD2Hv1oVFtLOoVgB/711eoR0SWweTfEDNmzIBKpcKoUaNM/VKUCZa4sh5yN2x7t9ZbrLEoUUhICFQqlcGtcuXK+seTkpIQFBQELy8vFChQAO+99x4ePHhg0Mbt27fRsWNH5M+fH97e3hgzZgzS0gxrm+/fvx+1a9eGs7Mzypcvj1WrVuXF2yOiXFq4V/oqUZYTJHsk9wKUFO2rFePfEhFlaky7KpJjtcL6sj32XnmQcxCARy+Ss388MfvH0+25LO31LIXcSfavAqX/vhDZqsahu3Ex5nmun88Ny8mWmfSM48SJE/jvf/+LmjW50bK5sMSV9ZCT5QFwA3O5qlWrhvv37+tvf//9t/6xL774Alu3bsXvv/+OAwcOICYmBt27d9c/rtFo0LFjR6SkpCAiIgKrV6/GqlWrMGHCBH1MdHQ0OnbsiBYtWiAyMhKjRo3CJ598gp07d+bp+yQiaTRagRO3nkmOZzlBskdKZ3moVcCiPnUUbJGIbImcBXuAdWV7aLQCmyLvSYr1Luhi1OPpNkfGWNXnI2eS3clBhQblvEzYIyLLptEKVPpmO+7FS5sEzcxb3LCcbJzJJj0SExPRp08ffP/99yhcuLCpXoYkYIkryyc3y4O1sOVzdHSEj4+P/lakiK40WHx8PH788UfMnTsXLVu2RJ06dbBy5UpERETg6FHdRNSuXbtw6dIl/PzzzwgICED79u0xZcoULF68GCkpKQCAZcuWwc/PD3PmzEGVKlUwbNgw9OjRA//5z3/M9p6JKGsRNx5JvpjLcoJkj+TueSPFkj61eWJNRFlyUKvw+TvlJMdbU7bH8egnePIiNcc4LzcnvO3nmW3M236e8HTLl2Nbj1+k4Hj0E8l9NCe5k+xDmpXj9wnZra1nY1Bu3A4ka3LfRstKXjjMDcvJxpnsqmlQUBA6duyI1q1bZxuXnJyMhIQEgxspiyWuLJ/cLA/Wwpbv+vXr8PX1RdmyZdGnTx/cvn0bAHDq1CmkpqYajFWVK1dGqVKlcOTIEQDAkSNHUKNGDRQr9m/WVGBgIBISEnDx4kV9zJvjXWBgoL4NIrIsk7ZelBzbuoo3T6zJ7sjd8yYnyz6qjXbViyvXIBHZpJFtKsnaimLZwSirWLQX9zxJUlzXAN8cjzkc1Cq8K7EUjdTXNSeNVmDpAemT7GoVMLJNRRP2iMhyDVx1HMN/PWNUG4t6BWDFAF5TIttnkkmPdevW4fTp0wgNDc0xNjQ0FB4eHvpbyZIlTdElu8YSV5aNWR6mV79+faxatQphYWFYunQpoqOj0bRpUzx//hyxsbFwcnJCoUKFDJ5TrFgxxMbGAgBiY2MNJjzSH09/LLuYhIQEvHr1Ksu+ceKXKO+lpGlx4+ELyfH9GvqZsDdElknOxGB2Shd2RtT0DpzwICJJHNQqDG8hPdvDWhbtFSngLClO6nl7y8rS4oq4SXtdczp68zFStdLjhzUvz8UoZJeaztyDvVdyv2G5Gty/g+yL4ldO79y5g5EjR+KXX36Bi0vOtSaDg4MRHx+vv925c0fpLhFY4sqSdZx/QFY8szzka9++PXr27ImaNWsiMDAQO3bswLNnz/Dbb7+Zu2uc+CUyg+CNZyXHsmY02SO5E4MjWpTHtantMSawAkoUdkHRgk5oXbkoLoQE4sDXrXlxiohkkZvtMWvnZZP1RTFST6+lxkn9gKxg+J0dJv3fj1keZK8az9iNO09zn7nl6gjcnMH9O8i+KD7pcerUKcTFxaF27dpwdHSEo6MjDhw4gAULFsDR0REajWHROWdnZ7i7uxvcSHkscWWZtkXew/WHLyXHM8tDGYUKFULFihVx48YN+Pj4ICUlBc+ePTOIefDgAXx8fAAAPj4+ePDgQYbH0x/LLsbd3R2urq5Z9oUTv0R5S6MV2HwmRnI8a0bLt3jxYpQpUwYuLi6oX78+jh8/bu4uUSZepWgwZsMZ1Jz4FyqM245ak3dh7B/n8CpFI2tBRvoFKCdHNYJaVMTfX7fCiW/a4If+b6OAi6MJ3wER2Sq52R5n7yYgJU1GqoAZPHohbbNhyXGJysaZS0qaFpF3pWe6M8uD7FGj6eG49yz3f8u+7vlweWpHBXtEZB0Uv3raqlUrnD9/HpGRkfpb3bp10adPH0RGRsLBwUHplyQJWOLK8mi0AiPWRcp6DrM8lJGYmIioqCgUL14cderUQb58+bBnzx7941evXsXt27fRsGFDAEDDhg1x/vx5xMXF6WPCw8Ph7u6OqlWr6mNebyM9Jr2NrHDilyhvHb35GGkSV1GqwNWEcq1fvx6jR4/GxIkTcfr0afj7+yMwMNBg/CTzG7jqOKpMCMPvJ2OQkKxFqhZ4+jIV607cQZUJYbIWZPACFBGZgtxsj49/lLdHYl6TWt5KcpzEslWWXt5Kzt6WPC4je6PRClT6ZjtiElJy3UY1HzdEcMNyslOKL78qWLAgqlevbnCfm5sbvLy8MtxPeevjhmUQdvFBzoH4t8QVT2JNZ374VchZj8Qsj9z78ssv0blzZ5QuXRoxMTGYOHEiHBwc0Lt3b3h4eGDQoEEYPXo0PD094e7ujuHDh6Nhw4Zo0EA3ydS2bVtUrVoVH3/8MWbNmoXY2FiMHz8eQUFBcHbWnUgMGTIEixYtwldffYWBAwdi7969+O2337B9+3ZzvnWbpdEKHLwch5k7L+HW41dwcFDjbT9PLOxdmyuLs5CYlIZhPx9HRNRTaAAUzp8P/Rv7YXCzcnY1tvwUES05tk1VbmAu19y5c/Hpp59iwIABAIBly5Zh+/btWLFiBcaOHWvm3hEA1J0ajkeJuT95fh0vQBGRqTioVehe2xd/nJaWnXks+ilS0rSWe0zD8lYZyN3bsnvtt3hcRnZjx7n7GLr2tFFttKpcBD/2r69Qj4isD68M2ZH0EldSNglLL3HVuEIR03fMDmm0Agv2Rcl6DrM8/r+9Ow+rqtr7AP495yDgACgyqwnOAwloieJsGI7NvQ03MzNvmbOVrzQoek282eCQ5Xub9Nb12h0a1TBCbRK0tFOhaKGQE+CUoKQcOWe/f3DhSoKsddj77H3O+X6e5zxPwtp7rxPwO3uvtX6/5byjR4/innvuwenTpxEaGoqBAwciJycHoaGhAICXXnoJZrMZt99+OyoqKpCSkoJXXnml5niLxYKNGzdiypQp6N+/P5o3b44JEyZg0aJFNW1iYmKwadMmzJ49GytWrEDbtm3x+uuvIyUlxeXv15PZHQpe3HIAqz//3d+P3Y5tB04iNm0LWjQxI+epEZz8+I/zFyvRb8lnOG+rXV7yVPklPP/pT3j+059wfXQQ/vZQknEHClRidyjI3CeeccANzOXYbDbs3r0bqampNV8zm81ITk5Gdna2jj2jagOXqjfhAQC3JkRxAIqINJN+W5zwpAdQle3x7sNJGvbIeSxvdaV5/xLfYw0A0m/rpVFPiIzlTxv34Y2vxBdq1eXlu+O5YTl5PZeMCG3fvt0Vl6EGVJe4Es32+PrgSU56aCTx2U/l2jPLo1E2bNhw1e/7+/tj9erVWL16db1t2rdvj82bN1/1PEOHDsV3333nVB+pYR9/fxwz/v5dgwvgzl9yIDZtC9q38sPWJ27w6gG5sSu/RO7xhuskf1NYii5Pf4JJA9vjmbGem5W5I/+UcIadj5kbmMs6deoU7HY7wsNrl9MMDw/H/v376zymoqICFRX/HZApKxOv601yFn78I46eVW/CAwCW3h6n6vmIiC7n62NGYnQr4WwAI2d7sLxVbXaHgvet4hNafB4mbzHxrZ3YduCU08f7moG8xaO9+hmYqBo/NbzM+P7Rwm2/KTijXUe82Ojl23GqvFLqGGZ5kLd7aN03mC4w4XG5X36tQMcnNyMjt0izfhlZt6c/EZrwuNwbX/2CsSvFNzB2Nws/3ivc9uZ4rmB3hfT0dAQFBdW82rVrp3eXPJKt0oG3vj6s6jk5AEVErvD2Q3LPQfP+LZc94DIsb1XLjvxTUvf1fB4mbzDwz1mNmvCICmyCn5aM4TMM0X/wScXL9OvQGj6C8e/7o6WwO2RuRaghY1Z8jn3F5VLHcFCBvN1D63bhszznN0F+5J09Xjfx0Sl1Ey5Wyuwa9F+5x89j7MovVO6R/myVDuSfFI+/LKEgLyQkBBaLBSUltTNKS0pKEBERUecxqampKC0trXkdOXLEFV31OjIbxYriABQRuUJ1toeoD6zHDfkMu3W/WLUFtctbZeWJXdfVZBaidAxtxudh8ngJi7bg6K8XnT6+BzcsJ7oCPzm8jMVsQkJ7sZvG6n09SB2jl3+OvUXnpY/joAJ5s43WY/gs72Sjz/PIO3sM+QCshe5Pb0JlI99q7vFzmLT2G3U6ZBDrdhQKt+XDtXN8fX3Rp08fZGVl1XzN4XAgKysL/fv3r/MYPz8/BAYG1nqRumQ3ihUxOjaCfyNE5DIy2R4OBdjxs/MrpbVQVcrpmFDbsAB/Vdt9aMBJINmFKGkeXHqVCADi0zLw629y1UAuFxvZAptnDVWvQ0Qegk8rXqhvTLBw268PNn6w0dtdsNnR6clN2FcsP+Hx4IBoDiqQ17I7FEzbYFXtfInPZqp2LqMasORTXHD+frmWrP0n8PH34rWWje6dnELhtny4dt6cOXPw2muvYd26dcjLy8OUKVNQXl6OiRMn6t01r6V2loeP2YRV9/ZW9ZxERFcjm+2RtjFXw97I21VwBmfKLzXYrnVzX+Fn9b4xwQhu3qTBdqfLbdhlsLLVMp9LPmYgifuMkgfr/vRmnL1od/r4G7qFYOPMISr2iMhzcDTVCyV1FL9p2LK3WMOeeLbzFyvRZ9Gn6D4/A85UmQlr4Yv543qq3zEiN3HD81tVPd+p8kt4cO0uVc9pJA++lYNjZQ0/UMuY/vfvDLc60Bm2Sgd+OXNBqK3ZxIfrxrjrrrvw/PPPY/78+YiPj4fVakVGRsYVm5uTa2iR5fHyvQmsFU1ELieT7XHw5G+wOVnmUwsnzomVrJHZT8xiNuHW+DaqXt8VZD+XHh3SiZ855JHsDgUd523ChUak6L98dzzeeCBRxV4ReRYfvTtArtevQ2s0MQOXBO4Dq28YvT3b4ILNjvkf/YCMH4pwzuaaAcDsJ5Ndch0iI/poz1EUnlH/AW3r/pP4+PvjGBcXpfq59bTRegxbD2hTjjD5he3Y9sQwTc7tKjKlrZK7h/HhupGmTZuGadOm6d0NAjDvX+pu6Lvmvt4YGRup6jmJjOiLL77AsmXLsHv3bhQVFeH999/HLbfcUm/77du3Y9iwKz8ri4qK6t3TiOT4+pgRHuCHknNie1mMfyMH7z6cpHGvxIS08BNqd0N3uQUCw7uF442vCxu+fnOx67uCTJaHCcDMEV206wxpYvXq1Vi2bBmKi4sRFxeHVatWoW/fvnp3y1A2/1CER9fvcfr4JmZg/+LRfGYhaoB3j2R7KYvZJHVDtW5HgYa9MSa7Q0HWj8UYmJ6J6Hmb0H1+Bv757XGXTXisuoerKMl72R0KZvxD3YG6y8161zOyF6rZHQpmqFgG7PcKTv+GDwXrUBuVTGmrCf1jtOsIkQtV1ZBXp0Rd+1Z+OLhkNCc8yGuUl5cjLi4Oq1evljruwIEDKCoqqnmFhYVp1EPvNGmg+Gf0zoJfjZPtIXrbKXt7Kvq4aJDHStksj1sTxDNfyBjeffddzJkzBwsWLMCePXsQFxeHlJQUnDhxQu+uGcafNu5r1IRHS38zfl4yhn8bRAI46eGlxvePFm7rSTXdG2J3KFj2yX50fHIzJv1tN46W2lzehxu6hXncKnQiGVPXf6vp+e0OYEXmT5pew5VWZB6A1o/0szZY3XaiSKa0lY/ZhH4dW2vcIyLX2JF/Smr8LDctBY/d2Akt/U0wmwB/HxOGdglBbloKPv/fZD5ck1cZNWoUFi9ejFtvvVXquLCwMERERNS8zGY+bqvpgQFyCxPGv6HunkbOOlUulp0i2q6m/XnB8wq205rsHlNLb4/TqCeklRdffBGTJ0/GxIkT0aNHD6xZswbNmjXDm2++qXfXDOHBt3bhja+cX1TcNsgX1rRRKvaIyLOxvJWX6tehNSzmqsG/huQeL4PdoXj8w+6H1mOYqeFqaRGxUQF444Hrde0DkZ5slQ5k5MqtBDJBfmHcqm35mDmii9vHNbtDwertB6WPC2nug1Pl4jueKwCmr9+DV+7rI30tvcmUthreLdTtfyeIqj0hUdqqY2gztPD3wfThXTF9eFcNe0Xk2eLj41FRUYHY2FikpaVhwIAB9batqKhARcV/B6PLyspc0UW3Vr2huWi2QHW2h96lmkXLW4m2q2kvWLbKCOWtZLM8EmNa6f5zIzk2mw27d+9GampqzdfMZjOSk5ORnZ2tY8+MYczKL7D3+Dmnjx/auTXWThLf24iIOOnhtSxmE5K7hWHLvoYHFx0KsOPnUxjUNdQFPdPH2JVfIve4vg8aPSNbYOOMwbr2gUhvsivAmjcxYe+fRldtBPfkZuHj3HkQ/3I78k/BLjnjc3BJVf3X0cu3Y19xufBxm3OLDTFwIIulrchT1bXfmMUEtGrWBP06BKO4THxlb9rYWK26SeQVIiMjsWbNGlx33XWoqKjA66+/jqFDh2Lnzp3o3bt3ncekp6dj4cKFLu6p+3v7oX7o8vQnwu1T3/sBL/xPvHYdEsHyVkh9T6507dsc3HU7p06dgt1uR3h47VLq4eHh2L9//xXtvWnid+DSz3D0rPMZV8O7huDNidywnEiWe41ckKruTxIf3Fm51XNKwfxez/kZuk94xEa1wKaZQ3TtA5HeZFeAAcAPC6vSey1mE16+O17q2OpBfHeW9tFeqfaX7xe0edZQhDSXW/sw79/a7bWiBZa2Ik81ae03de43ZleAU+WXsPHHEuFz+ZiBpM4hWnSTyGt07doVDz/8MPr06YOkpCS8+eabSEpKwksvvVTvMampqSgtLa15HTlyxIU9dl/V2R6i3ttzTPcSnd5e3sruUPDeHvGS2czy8A7p6ekICgqqebVr107vLmliQCMnPJK7h3LCg8hJ/CTxYv06tIZoFY89R87qfrOohc6pm1Bus+vah0kD22PjDE54EMlmeay4O75WKaKx8W3Qu12g1DncbRD/crZKBw6eEs/U6N2u5RX7Be186kapa374/XG3+ixgaSvyREOWbUXWfvU2BH10SCf+7hNpoG/fvsjPz6/3+35+fggMDKz1IjFvPySeBaBA/73cvL281YrMA1JJLMzycE8hISGwWCwoKam98KKkpAQRERFXtPeGid+k9Ewca8SEx8t3x+P1CX1V7BGRd+GkhxezmE24rn1LobZ2B5Bz8LS2HXKxTqmbcEnHsTt/C/DT4lF4hiUliKSzPCID/XBzfJsrvv7PKQOlrvv+d+41iH852Umif05JuuJrFrMJM4Z1FD6Hu30WsLQVeZqFH/+IX06LZS+JMAGYOaKLaucjov+yWq2IjIzUuxseydfHjPi24pNEL2/P1/d+z4vLW9kdClZtE99/Lq5tILM83JSvry/69OmDrKysmq85HA5kZWWhf//+V7T39InfhEVbcLzU5tSxZlSVJB5bx/MuEYnjp4mXmz5c/EF3XXaBhj1xre5Pb0Kljve9E5LaYf+zY3hDR41idyjIPngaH1qPIfvgabcdvAfkB/A/nzu8zq/LDuIbYfWfM2QniW5LiKp3JffMEV2lnoWf25In0Vo/LG1FnsZW6cBbXx9W9Zy3XiU2EHmz8+fPw2q1wmq1AgAKCgpgtVpx+HDV32Bqairuv//+mvbLly/Hhx9+iPz8fOTm5mLWrFnYunUrpk6dqkf3vcITI7sLt3Uo+t7vbd0vVnJQq/JWWXniJQ/VJpvlMTdF/OdKxjNnzhy89tprWLduHfLy8jBlyhSUl5dj4sSJenfNpeLTMvDrb5VOHevvAxxaOob3Z0Qq4EbmXi6pUwjMAESq2m/dfxJ2h+L2wXdA+qe44NznT6P4mIA5N3bFQ4M6cLKDGi0jtwhpH+2ttVFtRKAf0m7qiZGx7rWqUHYAv6E6vzNHdMXL2w4KxTWgavXfzBFd3Cq2yU4SLb09rt7vWcwmTB/WESsFV+F9f7TMLTY0Z2kr8jSDnvtM9XNeLTYQebNvv/0Ww4YNq/n3nDlzAAATJkzA2rVrUVRUVDMBAgA2mw2PPfYYjh07hmbNmqFXr1747LPPap2D1NWvQ2s0MQOXBG/49LrfszsUvG89JtQ2LMBf6tyi7T+0HsdTY3ro8t5lsjx8LVyE4u7uuusunDx5EvPnz0dxcTHi4+ORkZFxxebmnqz705txwckVti39zbCmjVK5R0Tey9gjFqQ5i9mEWMHU4EqH4lZlTeqy8OMfcaz0kkuuZQbQ3NeCYV1DkZuWgvz0MXh0WCfDDxSS8WXkFuGRd/bUmvAAgOKyCjzyzh5k5Bbp1DPnzPuX3L4aDdX5tZhNWCmxqbneq/9kqT1JBMhne4x/Q27SRQ+7CsU/r1jaiozuoz1HUVKm7v3L6NgI3pMQ1WPo0KFQFOWK19q1awEAa9euxfbt22vaz507F/n5+bhw4QJOnz6Nbdu2ccJDYxazCVOGiGf36nW/t6vgDM6UNxy/Wzf3Rd+YYKlz940JRnDzJg22O11uw66CM1LnVoNslscjgztyEYoHmDZtGn755RdUVFRg586dSEz0nk24O6ducnrCo02QLyc8iFTGTA/CuF5t8MPRMqG267ILMKBziMY90kZjy0KYAHSPDMDjN3bDkK5cFUz6sDsUzHvvx6u2mbHBirxFEW7xO2p3KHjPely4vcgAPlC1qfnizXlXTAzVZ80XB90m2yP1PXUniYCqgYPbekfh33vEfhY7C341fLbH3mOlQu1Y2oqMzu5Q8Jjk5HBDLCZg1b29VT0nEZGrzRzRFau2HRQeWNfjfu/EuYtC7W6Oly83aDGbcGt8G7zxdaFq/VCL3aHg1c/FszzMJu4xRe7L7lDQ+cnNwpUGfq9HRHNsnjVUzS4REZjpQQAmJEULt60uceWOBv3ZubIQrfwtyFs0EgVLx2DzzMEY3j3MLQZGyTPlHDyNs79dfbWYrdKBmX//zkU9apwVmQek2osM4Fdbdod42Rab3T0y2ewOBe8LTkwA4pNEAJB+m1yZm9T3fpBq70q2SgeOl4pNeMW3C2JMJ0PLOXRauHyLqFX39ObvPRG5veoSnaL0uN8LaeEn1O6G7s6V/xneTey4kOZi/VCL7GfXtKGd+LlEbikjtwgdGzHh0TOyBSc8iDTCSQ+Cr48Z7YObCrV11xJXH+05ipJz8mUhVv5PHL5LG4mmvhYNekUkL/vQKaF2G38sgq1S5VEylcmuAJMZwAeq9iyySDw7rcsuEG+skx35p6RuqGUmiXx9zEiMbiXc/kPrccNOgsvs5yFbSoLI1ZZl5Kl6vocHx2B0L/fa+4mIqD6yJTqf26JuTG2Q6K2Ss7dUom/exfMJf90hfl/NLA9yV9Vlp50VG9kCm2YOUbFHRHQ5TnoQAOC+ftHCbf+aU6hZP7RgdyiY8Q+5shAmAAeXjMZNvdtq0ykip4k/scz7t7rlUNQmuwJMZgAfqFr9N3Wo+Oq/z/JOGHYQv9rCj/cKt41rGyhdfurth8T/Hxt5EvzjH8Q2DAWAAR1DNewJUePYKh2wCpYgbYgJwCv3JiB1dA9VzkdEZASy2R7fHy1z6cKgE+fFMk9F211xXJlY2SrRdmqwOxRs2XdCuD2zPMgd2R1KoyY8hncNwUZOeBBpipMeBECuxNW2/cYfGLzc1PXfSh+Tv2Q0b7zIkPpL7D3wgYFX4gPA1z+LZa0AQMfQZk7tHyGz+s+hADsk+uRqtkoH8k+WC7efm9Jd+hq+PmbEtw0Ubu/y1ZIC7A4FuYKDxNzPg4xu/Os5Uu0fu7EzIgJ8YELVJIe/jxk9IgPw5oTrkb9kNEb3itKkn0REepLN9hj/hlxsbYwzgpMZou2uOK7cpmo7NciUrzWBWR7knjo/udnpYycOaI83J3rPBu9EeuFG5gSgaqCrY2gzHDz5W4Ntq2uhusOG5rZKBzJyxVeZAMCKu+M54UGG1a9Da1hMgF1gLqN6EH9QV2OuZP/AKr4aP21srFPXkN2ge8XWnwz7/2uexEbGvhbnB/OfGNkdf3h9p1Db6tWSRtrQXKYE2PBuoYz3ZFi2Sgd2Fv4q3P723m0wfXgXTB/OwSMi8i6y93s7C3512f1LcHNfVdtdcZzgniGi7RrL7lCwapt4+drr2rfkvRi5lcZuWj55UDSeGtNT1T4RUd2MM0pBuhsZK17f+euDJzXsiXoGPSe3eXlM62a4Ob6NRr0hajyL2YSb48RX6qZtzNWwN86r2mhaLM3ebAKSGjHJKrNB9+5fzhoyO8buUPC+VXwD80cGd3T6AbJfh9bwkTjUaBuar9r6k3DbCf1jNOwJUcMu2Ox44l/f4dr5mxE9bxM6pm5CwqJPMe/fP+APklke6bf10qiXRETGJ3O/B7iuDGxYoL+q7a44TnAyQ7RdY63IPCC1PckMTtSTG9n8Q+M2LX/l3gROeBC5ECc9qEZSR/FBxS17izXsiTo+2nMUJWVym5d/9thQbTpDpKKld4g/1B08+ZshNzRPfU/8QbPPNY1bAebrY0Z4gNiDngJjlrjakX9K+AGysWUCLGYTbk4Qn1gz0obmdoeCb385K9TWYgZLW5GuJq39Bt3nZ+Cf3x7HOVvV35BdAX797RI2fHME30hkeSTGtDJUxhURkav5+piRGN1KuL3LysB60UbmdoeC1dvFszx8zI1b2ETkSs9u2odH1zu3h4cZVXvGsswokWvx6Yhq9OvQGk0EfyOMOpBaze5QMFNy83KWtSJ34etjRqfQ5sLtjbYS3+5Q8OF34lkLaqwAmzRQfEW/EbNjZDYwvzUhqtGxTGa1pJE2NM85dBqi4xe927GcAulnyLKtyNovV37zat6e1E+1cxERuau3HxKPha7ay+1UudheHaLtrjhOcC+QrLwSp84vY0f+KaESvNUeHcINzMk9/GnjXrz2ZYFTx/oAOLR0DH/XiXTASQ+qYTGbcEP3cOH263Y4F/RdQTatNjLQj2WtyK0sGCeeFmuklfhA1cB0pWB3GlvaqtoDA8QnPYw2qSu7gfnS2+XKO9RFdkPzddnG+Dz4q8TnEsspkF4Wfvwjfjl9QbXzxbUNZJYHERH+s09liPjCIFcsdAkRLCsl2u73wgLEymK54nlAZpGO2cQNzMk9/GnjXrzxVaFTx/oAyF86RtX+EJE4PiFRLeP7Rwu3fSfnF+060giyabUA8Pnc4Rr1hkgbSZ1ChAO4kVbiA3ID08ndw1RZFePO2THrdhQKt+0Y2ky1wc8nRnYXbvtZ3gndJ9bsDgWfCa6cV2syjUiWrdKBt74+rOo556aI/60SEXm6tJvEFwa5YqHLrgLBe3Anb6P6xgQjuHmTBtudLrdhV8EZ5y4iQHaRzrShzPIg43t2Eyc8iNwZJz2oln4dWsMi+Fvxy5kLhloNXU02rXZUz3CukCS3YzGbMKJHmHB7o6zEtzsUZO4TL+mi5kbT7pod805OoXDbtLGxql1XZkNzV5WIuJqcQ6dhF/xIio0K5IM26WLQc5+per4mFhP3piEiukxSpxBYJD7ix7+Ro1lf7A4F63aILRR0tryVxWzCzXFi+wQUl6qXZfh7418X///ILA9yB5t/OI7Xvix06lhOeBAZA0d6qRaL2YTkbhIDqQYscSWTVgsAL/+hj0Y9IdLW/UniEwJGWIkPVE1Kik6V+pjVHcxzx+wYW6UDv5wRe0BVO3tBdkNzvfdC2XFQfNJlnODgAJGaPtpzFCVll1Q955TBHTmBR0R0GYvZhKlDOwq331nwq2YL+XYVnMHZC2JxX7RMVV3atmom1O5Muc3pa1yNrdKBnYW/CrdnlgcZnd2h4NH13zl1LCc8iIxD9UmP9PR0XH/99QgICEBYWBhuueUWHDhwQO3LkIZkBlI//l58M2JXkE2rnTGMN1zkvtxtJT4gNyl5c3zjN+S+nGx2zF8lMiy0kvre98Jt1SoFdjmZDc313gslI7dIuO0Eic85IjXYHQpm/1P871mExcyVskREdZk5oqtUe62yPU6cuyjUrmWzJugbE+z0dYIF9wMRbSdLJsvDBH52kfF1e3qzU8f5mDjhQWQkqk96fP7555g6dSpycnKQmZmJS5cu4cYbb0R5ufhANOmrX4fWEB0321dUZojV49WYVkveRHYl/sqtP2nYm4bJTkqm39ZL9T7ITOpu269vdozdoeDD78QnltUsBVZNdi8UvbL/bJUOHDz5m1BbNfc9IRIlW3pTxPK7Erhwg4ioDhazCbfFi98ja5XtIbo5+QP9oxsVz8MEryPaToZslsetCeouaiJSW1zaJ7jkRDjw9wHy0znhQWQkqj/1Z2Rk4IEHHkDPnj0RFxeHtWvX4vDhw9i9e7falyKNWMwm9LmmpVDbSgcMUQIGYFoteSeZlfi7D5/VdRBfJmtBq4Hpfh1ao4ngaW12fUtc5Rw6jUrBH5fapcAuJ7MXyjs5YnWr1Saz2XtKzwjtOkJUD9nSmw0Z0SOMZdqIiK5i6R3i98iARtkegvdx10c7n+UBoCp9Qs12EmQWHQLA0tvlfi5ErhS/MAOlF+VnPIL8zdi/mBMeREaj+VLH0tJSAEBwcN0f5BUVFSgrK6v1Iv317SA+eGaUDZJlBlSZVkueQmYlvp4lrmSzFtTckPtyFrMJN3QPF26vZ3z7WuJnNbxbqGaTuDJ7ofxy5oIuJa4+/uGYcNsBHUM17AnRlWSz3BoyeVA0Xrv/etXOR0TkiXx9zEiMbiXcXotsjxPnxTYnF21X7/FlYmW0RNuJkl10mBjTitm2ZFjxCzNw9oJd+riWTS34Pm2UBj0iosbS9BPH4XBg1qxZGDBgAGJj6x7ASk9PR1BQUM2rXbt2WnaJBCV1FN8Md+v+k7qXuLI7FLy/R3xAlWm1pKXVq1cjOjoa/v7+SExMxK5duzS9nsxKfL02m5bJWlB7Q+7fG98/WritnhvAf2AVH8jXorRVNdm9UFxd4sruUJB7VGzBhJYZMUT1kV0F28K37tvzjiFN8dPiUXhqjHjMJyLyZm8/1E+qfep7P6h6/TOCkxmi7eo9XnCD8q/z1V38JLPoEADeniT38yBylQRnJzz8LbAuGKlBj4hIDZpOekydOhW5ubnYsGFDvW1SU1NRWlpa8zpy5IiWXSJBMhskVzr0LQEDVNXKllmXw7Ra0sq7776LOXPmYMGCBdizZw/i4uKQkpKCEydOaHZNmZX4em02/XZ2oXBbLTbkvpw7bABvq3TgeKnYajyLGZoP5MvshfLx9+IT0GqQif9aZsQQ1UV2FeyMYZ2Qu2gU8haNxPh+12BQ5xCM73cN8haNRNbjw7lClohIgmy2x3t7jqm62KVlM19V29VHdINyNRfzyC46ZJYHGdWA9Ez86sSER1MfE6xpnPAgMjLNPnWmTZuGjRs3Ytu2bWjbtm297fz8/BAYGFjrRfqT3SBZ7xJXqyQ2aI5rG8gbLtLMiy++iMmTJ2PixIno0aMH1qxZg2bNmuHNN9/U7JoWswnXRbcUbq/HSvysvBLh9lpmLQDusQG8zB4Vvdu11Hwgv1+H1hC9RO6xMpdmx8jEf61/t8g72SodWL3tJ/R7dgs6P7kJPednYOJbu3D+YqVUlsflpTeb+lrwp1uuxduTEvGnW65FU1+LRr0nIvJsMtkeCoAVmerd9539TSwDQ7RdfSIC/cWuc+ESdhWcadS1qskuOmSWBxnRmOXbcaxU/u/PAiBv8Wj1O0REqlJ95FdRFEybNg3vv/8+tm7dipgYDjC4K5kNkvUsAWN3KPi28Kxw+7kp3bXrDHk1m82G3bt3Izk5ueZrZrMZycnJyM7O1vTa04eL71Hj6pX4OYdO45LgU5GvxTXlh4y+Afw7OYXCbWdI/OydZTGbEBsltijBAddlx8jEf1dkxJD3WfTxXnR5+hMs2/Izis9V4pIDKLfZse3AScSmbZHK8mDpTSIi9fn6mBHfVnxh5cvb81W77zv6629C7YKbNy7To29MMFo2bSLU9sQ5dfb1SPtor3BbLjokI5q0dif2Fju359pPSzjhQeQOVP/kmTp1Kt555x2sX78eAQEBKC4uRnFxMS5cuKD2pUhjvj5mtA9uKtRWzw2Scw6dFl5l4sNBL9LQqVOnYLfbER5ee6Ps8PBwFBcX13lMRUUFysrKar2ckdQpBKJDZXuPu3Yl/l8lMkuGddO2tFU1I28Ab6t04JczYp+ZWu9/crlxcW2E27oqO0ZmlaErMmLIuwx5bive/LpQtfOx9CYRkTaeGCm+6M2hqJPtYXco+FBwoVFEkNgzd30sZhMmJLUXahvSXKwU1tXYKh04eEp8sJiLDsloNlqPIWu/c893r9zbm88URG5C9UmPV199FaWlpRg6dCgiIyNrXu+++67alyIXuK9ftHBbvTZIlhlQHe6iAVUiUenp6QgKCqp5tWvXzqnzWMwmXNtGbBWbXYHL9uGxOxR8tl98P5P7JWJOYxl1A3iZTSG13v/kchOSooXbuio7Rqa0lSsyYsh7jF35ufDkpAjWOici0k6/Dq3RRCLEqpHtsavgDM6UX2qwXevmvugbE9yoawFA3xjBhX0q3DbKlG5kpi0Zjd2hYNoGq1PHTh4Ug9G9ItXtEBFpRpPyVnW9HnjgAbUvRS4gM8ilxwbJdoeCzH3iA6qs505aCgkJgcViQUlJ7f0rSkpKEBERUecxqampKC0trXkdOXLE6evLrMR31T48OYdOwy4YFnzMriltVc2IG8DbHQo+/E68/JgrY5rRsmNkSlu5MiOGPN9He44i9/h5Vc/JWudERNqxmE2YMqSjcHs1sj2Ky8TKSN0Ur05pwxOC1xNtVx9bpUOqdOPNcSzdSMbSa8EnTh03aWA0nhrTQ+XeEJGWuKSMrkpmkAsAUt/7QcPeXEmmtImrB1TJ+/j6+qJPnz7Iysqq+ZrD4UBWVhb69+9f5zF+fn4IDAys9XKWzCSlq/bhkcnEulmlhz5RshvAuyK+5Rw6jUrBH4seMc1I2TEy8b/PNSxtReqwOxTM+Id4NpYIZnkQEWlv5oiuUkkOa7442Kh75TPnK4TatW3ZuNJWNdcrF9uMWbRdfeb9S+4zkKUbyUgGpGei/JL83/WkgdF4Zqz4cxARGQOfsKhBMoNcH1qPu3SvgIUfi2+g5uoBVfJOc+bMwWuvvYZ169YhLy8PU6ZMQXl5OSZOnKj5tY22D49sJlb6bb007E3dZDaAd0V8ezu7ULjt8G6hLo9pRsqOYWkr0sPU9d+qfk5meRARac9iNmH6MPFsD5tdaVQ52JbNxDYnF21nhOvZHQres4pnJHNSn4xkzPLtOFYqP+k3cQAnPIjcFT+BqEEyg1yVjsbdHMqwVTqQf1J8AzU9BlTJ+9x11114/vnnMX/+fMTHx8NqtSIjI+OKzc21YqR9eGRW4rcPbqrLQ5GR4pvdoSArr6Thhv+hR7k+o2THsLQV6cFW6UBGrvhErohRPcM5IERE5CKy2R6NKQd79jexwVXRdmqdJ/ug84ueVmQekGrPSX0yiklrd2JvsfjYUbXhXUOlFgETkbHwKYsaZDGbMKJHmHB7V+0VILPZb8fQZhxUIJeZNm0afvnlF1RUVGDnzp1ITEx02bWNtA+PTCbWff3aa9aPq5GNb3/NKdSsLzmHTuOS4I/D16JfuT4jZMewtBXpQbakR0PMAF7+Qx9Vz0lERPWTzfbI3Od8OVhXZ3oEt/ATaudsiVu7Q8GqbQeF2zPLw3sUFhZi0qRJiImJQdOmTdGxY0csWLAANps6E3qNtdF6DFn75Sf7ekYG4M2JfTXoERG5Cj+FSMj9SeIrihtzcyhKdrPftLGxGvaGyDiMsg+PbCbWBIkYozaZ+LZtv3bxTWb/k2HdwnQbyDdCdsy/9xwVbsvSVqQGu0PBh9+L33eIePne3pyQIyJysZkjugq3VeD8huaiGRVqZXpEBPqLXe/CJewqOCN9/hWZByBzB8wsD++xf/9+OBwO/N///R/27t2Ll156CWvWrMGTTz6pd9dgdyiYtsEqfVwLXzM2zRysfoeIyKU46UFC+nVoDR/B5/LG3ByKktnsl6VNyNsYYR+edTsKhdvqnYnVr0NrNBG8fGPrO9dHdv+T+yXKmKnNCNl/ogMJjP+klpxDp2FXMVQ+PDgGo3tFqndCIlLVF198gXHjxiEqKgomkwkffPBBg8ds374dvXv3hp+fHzp16oS1a9dq3k+SZzGb0FeiVOfL2/Ol75Wr7uvESpYGN1cn06NvTDCC/H2E2haXXpA6t2yWh9739uRaI0eOxFtvvYUbb7wRHTp0wE033YTHH38c7733nt5dQ+Kznzp13PdpI1XuCRHpgZ9EJMRiNuHmhCjh9mu+OKhptofMiujk7vqtiCbSgxFW4n/8/THhtnpnYlnMJtzQXXzPlS/z1a3pD8iVa/Ix61faqppMdoyzZRTqY6t0oOSc2KrIzmEtGP9JFcsy8lQ71yv3JiB1dA/VzkdE6isvL0dcXBxWr14t1L6goABjxozBsGHDYLVaMWvWLDz00EPYsmWLxj0lZ8iU6nQo8gv6dhWcQenFSqG2EUFNpc5dn6pFKWL3s2fK5bJLZLM89L63J/2VlpYiODhY1z48+FYOTpWL/R1e7hVm4hJ5DE56kLD02+KE22q1GhqoWmny2X7xQUc9Nvsl0pPeK/HtDgU/HisTamuGMVbij+8fLdz2I2uR6teX2f/k5vgo3W/EZbL/HAqw42fnN838PZn9nIZ1C1XtuuS9bJUOWI+KxTQAeHtiX+SmpWBop1bwMwNNzED74KZ4/f7rcHDJaIzuJb6IhIj0MWrUKCxevBi33nqrUPs1a9YgJiYGL7zwArp3745p06bhjjvuwEsvvaRxT8kZSZ1CYJG4lXrlc7lsj+Kyi0LtWjZtgr4x6g0M9+8odk8ts4+I3aFg9XbxLA8fszHu7Uk/+fn5WLVqFR5++OGrtquoqEBZWVmtl1o2Wo9h6wH58ahJA5mJS+RJOOlBwmT3Cnhui3qrIi+Xc+g07IJLoo2wIppID3quxN+Rf0p4NVhsm0DdB/CBqkF80Q/E46UXVd0AXnb/k/Tbeql2bWfJZv+lbcxV5bqy+zkN6iQ++UeNFx0dDZPJVOu1dOlSvbsl7PzFSkxe9w1Sln+Byeu+wfn/rNId/3qO8DmqS6q18PfB2oeScGDJGPy8ZAw+nzscyT3CDRHviEh92dnZSE5OrvW1lJQUZGdn13uMlgN+dHUWswlTh4pvaF7pkFvAcepchVC7G1SuSHCmXOy6ou2Aqvt6mfKOjw7pxM86DzFv3rwr7ut+/9q/f3+tY44dO4aRI0fizjvvxOTJk696/vT0dAQFBdW82rVrp0q/nd3HY3jXUDwzlpm4RJ6Ekx4kRWavgO+Plqk6MFhNprSVEVZEE+lBz5X4MlkL4+KMseLZYjbhOon6zmpuAC+TuWCkGsky2X8HT/6myueBzH5OnPTWx6JFi1BUVFTzmj59ut5dapCt0oHEJZmITduCzLwTOFB8Dpl5JxCbtgU9ntqEnYW/Cp/r1oQ2vO8g8kLFxcUID69dWig8PBxlZWW4cKHu/RO0GvAjMTNHdIVMtJZZwPGr4Obk4YKbj4s6e+GSqu0Auft6swmYOUK8dBgZ22OPPYa8vLyrvjp06FDT/vjx4xg2bBiSkpLwl7/8pcHzp6amorS0tOZ15MgRVfp9w/NbpY/pGRWANyf2VeX6RGQcxhg5Ibchs1cAAIx/Q3x1pAjZ0lZGWBFNpAe9VuLLZi1MkMhI0ZpMfef3vzumSnaMbOaCkWoky2b/qTFR9HZ2oXDb4d1COfisg4CAAERERNS8mjcX/x3Rw7Ob9qHL05+gpKzuAarf7HLn430HEYnSasCPxFjMJkwfJp7tIbOAwyR4+yHaTpQieGsq2k72vn7aUGZ5eJLQ0FB069btqi9f36pSaceOHcPQoUPRp08fvPXWWzCbGx418vPzQ2BgYK1XY3205ygKz4iVl6sW0swHm2YMbvS1ich4OOlBUixmE27tLT6QurPgV1WzPWRKW7UPbmqYFdFEetBjJb67Zi0AcpO6amXHyGQuVJfNMRKZ7L/GThTZHQo+3Vsi3J77Oelj6dKlaN26NRISErBs2TJUVspvIOkqk//6DV77Ur09jRJjWhkqphGR60RERKCkpPZnVElJCQIDA9G0ad0bVWsx4EdyZLM9RBf0FZ+tO7vn91o2bSJx9Ya1Etyro0RwzxHZ8o7M8vBO1RMe11xzDZ5//nmcPHkSxcXFKC4udmk/7A4FM/4h/ixabefTN2rQGyIyAj6ZkTSZgVQAWCdRjqohMqWt7uvXXrXrErkjV6/EtzsUvL/HPbMWAPkN4NXIjlmWIb73UbLKdZ/V4MqJoh35pyA6LedrYWkrPcyYMQMbNmzAtm3b8PDDD2PJkiWYO3fuVY/Rq6b9RusxZO4TzxwV8fakfqqej4jcR//+/ZGVlVXra5mZmejfv79OPSIRstkeIgv67A4Fm3PFBntDWvgJX1vofAFi5/skt7jBhSi2SodUeUdmeXivzMxM5OfnIysrC23btkVkZGTNy5XuePUr6WNW3ZPA31siD8ZJD5Lm62NGYnQr4fZ/+eKQKteVLW1lpLI5RHpx5Up8mUFpI2YtAHIbwDc2O8ZW6YD1qPgArxEzF1w5USRTU3pYN+NNELkrmU0s58yZg6FDh6JXr1545JFH8MILL2DVqlWoqKh/w1Q9ato7u8Hl1TDLg8iznD9/HlarFVarFQBQUFAAq9WKw4cPA6gqTXX//ffXtH/kkUdw6NAhzJ07F/v378crr7yCf/zjH5g9e7Ye3ScJM0d0lWrfULZHzqHTuHBJ7P4wIqjuLCBnRQjuEfKbzY6cg6ev2kYmy8MEZnl4swceeACKotT5cpWN1mP47ojcwpnh3UINs78kEWmDT2fklLcfEl/NePK8DR9/L776uz4sbUUkz5Ur8WUGpY2YtQBUbQDfRCJ0NCY7RqYUmJE35XbFRJFsTen7+0VLX4PqJruJ5eUSExNRWVmJwsLCes+vR037qeu/Vf2czPIg8izffvstEhISkJCQAKBqUjchIQHz588HABQVFdVMgABATEwMNm3ahMzMTMTFxeGFF17A66+/jpSUFF36T+IsZhNui1evfHN2A5MJ1Vr4+aBvTLDwdUX0jQlGc1+LUNvsQ/Xf88tmedyaEGXI+3ryDs4sZgnyt+DNB7hxOZGn89G7A+SefH3MaB/cFL+cEatXOuvd7zD62shG3QyxtBWRvOqV+FsEy7ikbcxFVtdh0teR3sDcgFkLQNX/rylDOmLltoNC7d/bcwzP3REnHdtkS4HdHG/ch8nqiSLBRY146+tDeHhIJ6lryEwQsbSVukJDQxEaGurUsVarFWazGWFh9WcD+fn5wc9P3fIeV2OrdCAjV92yVqN6hnOhBZGHGTp06FVXKa9du7bOY7777jsNe0VaWXpHHN6zit+XjX8jB+8+nFTn9xSIrW4f2Lm16vd2FrMJgzqHIENgD7SrJXfP+5fcvghLb5crf02kJmcWs3zDfTyIvAKf0Mhp90mspLU7gBWZPzl9LZa2InKeK1biyzwcGX1QWqbMgQLnYptMKTAASL+tl/Q1XKV6okjUm1/J7fNkdyh4T2KC6JHBHQ07QeTJsrOzsXz5cnz//fc4dOgQ/va3v2H27Nm477770KqVeElMrcmU6xBhAvDyH/qoek4iInIt2fLNV8v2KDr7m9A5Etpp89mYcI3YeYtL697M3O5QpCaAWN6R9OTMYpYHB0Tzd5bIS/AvnZw2ISlaqv2qbflO7xfA0lZEzpMt2dRQreLfk304MvqgtMVsQorEPhWvfC4f21ZmiU+UxLUNNHxMk5koKjlnk5pYW5F5QHDNJGtK68nPzw8bNmzAkCFD0LNnTzz77LOYPXs2/vKXv+jdtRqy5TpErOQGmEREHkGmfDNQ9/2y3aEIZVkAQOmFS1LXE1V2Uey8n+6rezPzFZkHpK7H8o6kJ9nFLC2b+mC+xJ6XROTejD2KQoYmuyJGATB9/R6nrvV2dqFwW5a2IqpNdiV+Q7WKf0/m4chdBqVlsmMqHXJ7odgdCr755axw+7kp3YXb6sViNuH69i2F24tOrNkdClYJlhoDgBE9jLlXjDfo3bs3cnJycPbsWVy4cAH79u1DamqqS0tXNUS2XEdDRvQI4waYREQeQo1sj10FZ/CbTeweWqvbFRPETny+wo5dBWdqfU32vqtjaDPDL8whz+XMYpZdT43QqDdEZET8hKJGkV0Rszm3WLp0jt2hICtPbMUMwNJWRHWRWYkPAPP+LTY4KPtw5C4bHcpmx6RtzBVuKzNJZDHD0KXALjfjBvHJLNGJNZksD8C4e8WQ/mQz0hoyeVA0Xrv/etXOR0RE+mtstkdxWd0lo+rSv0OI1LWEzytx31hcWnt/Ttn7rrSxsRKtidQlm+XBslZE3od/8dQovj5mjI4Nlzrm+sWfSrXPOXRaeINcrjYhqpvFbMJt8eIrkt//7rhQySbZhyN32ehQNjtGdC8Uu0MR3iQdAG6Oc49JIgBI6hQiuLawypiVX1z1+7ITakbfK4b0JVuu47V7e6NbWDP4/OffTcwmtGnpj7kpXfHT4lF4agxLIxAReZrGZnucOlchdFzTJmbN7ln6dWgNPx+xO7JT5//bX9n7Lh8zkNRZm4kboobIZnmwrBWRd+LoMDXaqnvlNvAsvWjHxLd2CrffcVC8bExKzwipvhB5k6V3iE84iGzQLTuA726TkjNHdJUaxB/y3NYG20xfv1uqD+4ySQRUTRTdKjGx9vOJcnz8ff0r72Un1Iy+Vwzpx+5QsHq7eKxKjGmFEb0ikTFnGPKXjkHh0jH4eclofD3vBjw6rJNbxTEiIpIjm+1xeXb0t4WnhY4Z3CVUs3sWi9mEoV1Chdp++8t/B41l77seHdKJ912kG9ksD5a1IvJOfGqjRrOYTZgxTHxFNABsO3AKf9q4T6jtrkNiN48AMKCj2A0ekTfy9TGjY0hz4fYvb7/6Bt2yA/julgJvMZswXSK2FZVV4EPrsXq/b6t0YHOueKk+d5skAuQm1gBg1rvf1fk7JjuhZja5x14xpB1bpQOrth5AfNpmRM/bhJh5m9DjmQxMfGsXsvaVwC4xksNNWYmIvJdstkd1drTdoWDr/hNCxzRtYnG2e2Ln9/VpuBGAbftP1PRdJsuD912kJ9ksj8SYVm73TEVE6uBfPqli5oiu0r9Mb3xVgM0/FF21jd2hYPfhs0Ln83Gj2vdEekm7STyt16HUn+0hO4DvrinwsnuhzNpgrXeiaMyKz6XO5W6TRID8QIHdUffvmOyE2rShXG3ozZ7dtA9dnv4EL3yaj7MXq/7+FAC/XbJj24GT+OM74r9P7jjZSERE6pLJ9qjOjpYpyRzV0t+5jglq06qpUDubXUHOwdPSWR687yI9zfuX2N6T1biYhch78amOVGExm7Dy7njp4x5dv+eqK8lzDp2GwLYCAIAekYG8+SJqQFKnEFgk/kxWbqs720M2pdhdU+Bl90JRAExfv+eKr2+0HsPPJ38TPo+7ThIB8mUhfv87JjuhxtWG3m3yX7/Ba18WqHY+d5xsJCIidclmR6/clo+vfxYvyax1dYKkjuL3kF/mn2B2LbkNu0PBh1cpj/t7zPIg8m786yfVjI1vg4R2gdLHdXxyc70bAL+dXSh8nnFx4gOTRN7KYjZh6lC5cnSJiz+t9W/ZlGJ3fziSLdm0Obe4VkyzOxRM22CVOoe7ThIB8tkeAHDt/M01/33d737fGsLVht5ro/UYMveJlRIRYTa572QjERGpSyY7GgBe/0ps4sDXYtK8OkG/Dq0huJc53pBcOMD7LtJTzqHTLFlKRMI46UGq+teUgU4d1+XpT3Dnmq+uGCjMyhNf7TshKcapaxN5G9kNuk/9VonRl5Vm6jn/E6nrufvDka+PGSNjw6SO6bMoo+a/+z4rN4hvMbv3JBEgn+3xWyXQKXUTei/MQNlFu/Bx7j6hRs5zZjKxIbfER7l1rCIiIvXIZkfbBG9f4toGaf5ZYzGbkNBebAGKaEkugPddpL8dB8UzqpjlQUSMAKQqi9mEl50ocwUA3xSWosvTn6BD6ibcsvorZO0rEb4JYw1uInGyG3QDwL6i8xiwZAui523yyoej1fdeJ9X+nE1B7PzN6L0wA6fLK6WOXX5XgtsPvPr6mDE6NlzqmEoFOHNBfMIDcP8JNXLe1PXfqn7OpbfLZXUREZHnciY7WsT1McGqn7MufTW4Du+7SG+7Cs4It2WWBxFpNkq8evVqREdHw9/fH4mJidi1a5dWlyKDGRvfBsO7Op+y61AA65FSqY1HU3pGOH09Im8km+0BAMfK5AbvAc95OLKYTZghOVF03qZID+J3DmvuMaX6Vt3bR9Pze8qEGsmzVTqQkateWSsAGNUznIsniIioFmfulxui9X4e1WT29RDB+y7Sm92h4IejZ4XaclEsEQEaTXq8++67mDNnDhYsWIA9e/YgLi4OKSkpOHFC3QdUMq43J/ZDSHMfl13PVTePRJ7CYjZhxf9ou6rZE8o0XU6LB9/f2zRjsMZXcB2L2YSVGv6OecqEGskb/3qOquczAXj5D9pO0hERkftR+37Zx6z9fh7V+nVoDYuKoz0v3RXP+y7S1a6CM6ioFNvQg4tiiQjQaNLjxRdfxOTJkzFx4kT06NEDa9asQbNmzfDmm29qcTkyqJ1P3eiS67hiMzgiT3RT77aIDvbX7PyeUKbpclpPFD04INrjViRp9TvWxGzyqAk1EmerdGBn4a+qnnPlPZ4Vq4iISD039W6L8MAmqpxreLdQl33eWMwmJHeT25OuPpGBfrg5vo0q5yJy1olzF4XbclEsEQEaTHrYbDbs3r0bycnJ/72I2Yzk5GRkZ2erfTkyMIvZhDX39db8OsO6hXGwgshJWY8P1+S8w7qGekyZpstpNYgf1sIX88f1VP28RqDF79iKuzlI7a3W7ShU9XwjeoR5ZKwiIiL1fDk3ueFGAib0j1HlPKLuT1Lnep/P1eZ5gUhGSAs/oXYt/Hy4KJaIAGgw6XHq1CnY7XaEh9fewDQ8PBzFxcVXtK+oqEBZWVmtF3mOkbGRmk983N8vWtPzE3kyi9mEl++OV/WcAX4WvDWxr6rnNBItBvGzn1TnYdqILGYTXrk3QbXzTRoYg9G9IlU7H7mXbwrFN7BsyORB0Xjt/utVOx8REXkmXx8zJg64ptHncPVAbL8OrdGkkSM+npiJTG5KrLIVHhoYw8VRRARAw43MRaWnpyMoKKjm1a5dO727RCobGRuJg0tGw0eDzx2LGZzFJ2qksfFtcEM39TY7tC5IUe1cRqT2RNEqLyitM7pXFB4e3PjVhjd0C8UzY3uo0CNyV818LcJth3ZqBb/L/rSamE1o09Ifc1O64qfFo/DUGM/MriIiIvUtGHdto/asXHZHL5ff71nMJrxwh/OlWT05E5ncz6nyCqF2MaHNNe4JEbkL1Sc9QkJCYLFYUFJSUuvrJSUliIi4cjOh1NRUlJaW1ryOHDmidpfIACxmE/LTx6B1c19Vz3tzXJTHDxYSucIbDyQiNrJFo8+z5r7eXvE3OTa+DZK7N75WbHJ37ymtkzq6B1651/nMv+TuoXjjAc/NICIxtye0FWo3OjYCax9KwoH0MShcWvX6eclofD3vBjw6rBNXrRIRkTRn96yMbt1Mtz0xburdFj0imjl1rCdnIpP7CQsQKzEs2o6IPJ/qT3y+vr7o06cPsrKyar7mcDiQlZWF/v37X9Hez88PgYGBtV7kuXY/MwITk6JVO9/S27XbVJjI22ycOQTXtnE+Bq+5rzdGxnpP2aHXJ/RFcnfnN4hM7h6K1yd4V2md0b2qMv98LXITYy/fHY/XJ3DCg4CkziENZnv4mE1Y1YgJNiIioro4u2dl1mND1e+MhM2zhqGZZJKKtyxkIvfRNyYYkUH+qO+30gQgMsgffWOCXdktIjIwTZa5zZkzB6+99hrWrVuHvLw8TJkyBeXl5Zg4caIWlyM3s+Cmnvhp8ShcH92yUed5eHAMV2oSqezj6YMwaaBcGaKQ5hYcXDLaqyY8qr0+4Xqsukd+vwpvHsS3mE346dnRGNql4UyZ+LYBOLhkNMbqtDqSjMdiNuHF/7n6goeX7/X8knFERKQP2T0rjTJ5sG/xGPgLbvDhbQuZyD1YzCYsGFdV5vb3f1HV/14wroch/t6IyBg0GTG+66678Pzzz2P+/PmIj4+H1WpFRkbGFZubk/fy9THjn48MwE+LR+GJlM6ICJBbevLw4BikjmZddxITHR0Nk8lU67V06dJabX744QcMGjQI/v7+aNeuHZ577rkrzvPPf/4T3bp1g7+/P6699lps3ry51vcVRcH8+fMRGRmJpk2bIjk5GT///LOm700Lz4ztgZ8Wj0J4YMPl6Jbf0QvfPjPSq28ux8VFVU369Gj4My6uTQsO4v/H2gf7Im/RSNx5XRQCfKt+fywmoFWzJrj7+nbIWzQSH0wb7NW/W1S36gGn8IDaMSo8wJcDNUREpLnqPSvj2wbV28YE400e7P/TKMRG1Z/VfU0rX69dyETuYWRsJF69rzcigmqXsIoI8serBvt7IyL9mRRFUfTuxOXKysoQFBSE0tJSlrryQucvVmL6377BjvwzqLjsN7OJ2YSwQD/8IbE9HhrUgRkeBEA8XkRHR2PSpEmYPHlyzdcCAgLQvHnzmvN06dIFycnJSE1NxY8//ogHH3wQy5cvxx//+EcAwI4dOzB48GCkp6dj7NixWL9+Pf785z9jz549iI2NBQD8+c9/Rnp6OtatW4eYmBg888wz+PHHH7Fv3z74+4vVFjVaDLz8b9KmAH4+ZnQIbY7Hb+yGIV1DOSD9O7ZKB177Mh9v7yjAiXOVMJmAwKZNkNIzAgvG9URTiU2Yia7GaLFCLTLvy+5QsKvgDE6cu4iwgKpyBoxJRN7BE2OgJ74nb3DBZsf8j35A5t4TuGR3oH1r498nV9/f7yo8C5hM6BsTjFX39EYLf+c3aifX8sR4wXtAIhIhEys46UFEbktm0mPWrFmYNWtWnd9/9dVX8dRTT6G4uBi+vlUrh+fNm4cPPvgA+/fvB1CVwVZeXo6NGzfWHNevXz/Ex8djzZo1UBQFUVFReOyxx/D4448DAEpLSxEeHo61a9fi7rvvVvU9EZF389RY4anvi4jU5YmxwhPfExFpwxPjhSe+JyJSn0ys4HJ5IvIKS5cuRevWrZGQkIBly5ahsrKy5nvZ2dkYPHhwzYQHAKSkpODAgQP49ddfa9okJyfXOmdKSgqys7MBAAUFBSguLq7VJigoCImJiTVtiIiIiIiIiIiISFvMXyQijzdjxgz07t0bwcHB2LFjB1JTU1FUVIQXX3wRAFBcXIyYmNqbd1fvQVRcXIxWrVqhuLj4in2JwsPDUVxcXNPu8uPqalOXiooKVFRU1Py7rKzMyXdJREREREREREREhpv0qK62xYE/IrqaBQsWYPny5QCqMirqkpeXh27dumHOnDk1X+vVqxd8fX3x8MMPIz09HX5+fq7obr3S09OxcOHCK77OGEhEV1MdIwxWpbTReB9IRCI8MQYy/hGRKMZAIvJWMvHPcJMe586dAwC0a9dO554QkbvYtm0bIiIirvh6hw4d6myfmJiIyspKFBYWomvXroiIiEBJSUmtNtX/rj5vfW0u/3711yIjI2u1iY+Pr7fvqamptSZljh07hh49ejAGEpGQc+fO1Tvx6454H0hEMjwpBjL+EZEsxkAi8lYi8c9wkx5RUVE4cuQIAgICYDKZGmxfVlaGdu3a4ciRI16z2RHfM9+zJ3Lm/SqKgnPnziEqKgpms/gWRVarFWazGWFhYQCA/v3746mnnsKlS5fQpEkTAEBmZia6du2KVq1a1bTJysqqtRl6ZmYm+vfvDwCIiYlBREQEsrKyaiY5ysrKsHPnTkyZMqXevvj5+dXKNmnRogVjYAP4nj3/PXvb+wXk3/Pl8c+T8D6wYd72nr3t/QJ8z94aA2XjH+B9vyve9n4Bvme+57oxBvL3hO/ZM3nb+wW0jX+Gm/Qwm81o27at9HGBgYFe8wtRje/ZO3jbe5Z9vw3N7GZnZ2Pnzp0YNmwYAgICkJ2djdmzZ+O+++6rmdC49957sXDhQkyaNAn/+7//i9zcXKxYsQIvvfRSzXlmzpyJIUOG4IUXXsCYMWOwYcMGfPvtt/jLX/4CADCZTJg1axYWL16Mzp07IyYmBs888wyioqJwyy23CL8fxkBxfM+ez9veLyD3nj1lZd/lGAPFedt79rb3C/A9N8TTYqCz8Q/wvt8Vb3u/AN+zt2AM5D2gCL5nz+dt7xfQJv4ZbtKDiEhNfn5+2LBhA9LS0lBRUYGYmBjMnj27VkmpoKAgfPrpp5g6dSr69OmDkJAQzJ8/H3/84x9r2iQlJWH9+vV4+umn8eSTT6Jz58744IMPEBsbW9Nm7ty5KC8vxx//+EecPXsWAwcOREZGBvz9/V36nomIiIiIiIiIiLwVJz2IyKP17t0bOTk5Dbbr1asXvvzyy6u2ufPOO3HnnXfW+32TyYRFixZh0aJF0v0kIiIiIiIiIiKixhMvgm9Qfn5+WLBgQa2a+J6O79k7eNt79rb3qxZv/P/G9+z5vO39At75ntXgjf/fvO09e9v7BfieSZy3/X/ztvcL8D17C298z43ljf/P+J49n7e9X0Db92xSFEVR/axEREREREREREREREQu5vaZHkRERERERERERERERAAnPYiIiIiIiIiIiIiIyENw0oOIiIiIiIiIiIiIiDwCJz2IiIiIiIiIiIiIiMgjuPWkx7PPPoukpCQ0a9YMLVu2rLPN4cOHMWbMGDRr1gxhYWF44oknUFlZ6dqOaiw6Ohomk6nWa+nSpXp3SzWrV69GdHQ0/P39kZiYiF27dundJc2kpaVd8bPs1q2b3t1S1RdffIFx48YhKioKJpMJH3zwQa3vK4qC+fPnIzIyEk2bNkVycjJ+/vlnfTprcIyBnh//AMZAxkDGwPowBjIGehrGQMZAUYx/VRgDPQfjH+OfDMZAxj9PwxioTQx060kPm82GO++8E1OmTKnz+3a7HWPGjIHNZsOOHTuwbt06rF27FvPnz3dxT7W3aNEiFBUV1bymT5+ud5dU8e6772LOnDlYsGAB9uzZg7i4OKSkpODEiRN6d00zPXv2rPWz/Oqrr/TukqrKy8sRFxeH1atX1/n95557DitXrsSaNWuwc+dONG/eHCkpKbh48aKLe2p8jIFVPDX+AYyBjIGMgVfDGFiFMdCzMAYyBopg/PsvxkDPwfjH+CeKMbAK459nYQzUIAYqHuCtt95SgoKCrvj65s2bFbPZrBQXF9d87dVXX1UCAwOViooKF/ZQW+3bt1deeuklvbuhib59+ypTp06t+bfdbleioqKU9PR0HXulnQULFihxcXF6d8NlACjvv/9+zb8dDocSERGhLFu2rOZrZ8+eVfz8/JS///3vOvTQPXhzDPTk+KcojIGejjFQHYyBL+ndDc0wBno2xsDG8+b4pyiMgZ6E8Y/xzxneHAMZ/zwLY6A2MdCtMz0akp2djWuvvRbh4eE1X0tJSUFZWRn27t2rY8/Ut3TpUrRu3RoJCQlYtmyZR6Tt2Ww27N69G8nJyTVfM5vNSE5ORnZ2to4909bPP/+MqKgodOjQAX/4wx9w+PBhvbvkMgUFBSguLq71Mw8KCkJiYqJH/8y14i0x0BPjH8AYyBhYhTHQeYyB7o0xkDEQYAx0lrfEP4Ax0JMw/jH+qcVbYiDjn2dhDFQ/Bvqo0TmjKi4urhXkANT8u7i4WI8uaWLGjBno3bs3goODsWPHDqSmpqKoqAgvvvii3l1rlFOnTsFut9f5M9y/f79OvdJWYmIi1q5di65du6KoqAgLFy7EoEGDkJubi4CAAL27p7nqv8u6fuae9DfrKt4QAz01/gGMgYyB/8UY6BzGQPfGGMgYWI0xUJ43xD+AMdCTMP4x/qnJG2Ig459nYQzUJgYaLtNj3rx5V2ze8vuXp/6SX07m/8OcOXMwdOhQ9OrVC4888gheeOEFrFq1ChUVFTq/C5I1atQo3HnnnejVqxdSUlKwefNmnD17Fv/4xz/07hq5CGMg4583YwwkxkDGQG/GGOjdGP+qMAZ6J8Y/Ygxk/PNmjIHaMFymx2OPPYYHHnjgqm06dOggdK6IiAjs2rWr1tdKSkpqvmdkjfn/kJiYiMrKShQWFqJr164a9M41QkJCYLFYan5m1UpKSgz/81NLy5Yt0aVLF+Tn5+vdFZeo/rmWlJQgMjKy5uslJSWIj4/XqVeuxRjI+FeNMZAxsBpjYG2MgYyBRv75qYkxEDX/9oYYyPhXhTGwirfHQMY/1PzbG+IfwBgIMP5V8/b4BzAGVmtsDDTcpEdoaChCQ0NVOVf//v3x7LPP4sSJEwgLCwMAZGZmIjAwED169FDlGlppzP8Hq9UKs9lc857dla+vL/r06YOsrCzccsstAACHw4GsrCxMmzZN3865yPnz53Hw4EGMHz9e7664RExMDCIiIpCVlVUT2MrKyrBz505MmTJF3865CGMg4181xkDGQIAxsDEYA90bYyBjIOBdMZDxrwpjYBVvj4GMf94V/wDGQIDxr5q3xz+AMRBQJwYabtJDxuHDh3HmzBkcPnwYdrsdVqsVANCpUye0aNECN954I3r06IHx48fjueeeQ3FxMZ5++mlMnToVfn5++nZeJdnZ2di5cyeGDRuGgIAAZGdnY/bs2bjvvvvQqlUrvbvXaHPmzMGECRNw3XXXoW/fvli+fDnKy8sxceJEvbumiccffxzjxo1D+/btcfz4cSxYsAAWiwX33HOP3l1Tzfnz52vNVhcUFMBqtSI4OBjXXHMNZs2ahcWLF6Nz586IiYnBM888g6ioqJoPO/ovb4+Bnh7/AMZAxkDGwKthDGQM9DSMgYyBorw9/gGMgZ6G8Y/xT4a3x0DGP8/DGKhRDFTc2IQJExQAV7y2bdtW06awsFAZNWqU0rRpUyUkJER57LHHlEuXLunXaZXt3r1bSUxMVIKCghR/f3+le/fuypIlS5SLFy/q3TXVrFq1SrnmmmsUX19fpW/fvkpOTo7eXdLMXXfdpURGRiq+vr5KmzZtlLvuukvJz8/Xu1uq2rZtW51/txMmTFAURVEcDofyzDPPKOHh4Yqfn59yww03KAcOHNC30wbl7THQG+KfojAGMgYyBtaHMZAx0NMwBjIGivL2+KcojIGehvGP8U+Gt8dAxj/PwxioTQw0KYqiOD9lQkREREREREREREREZAxmvTtARERERERERERERESkBk56EBERERERERERERGRR+CkBxEREREREREREREReQROehARERERERERERERkUfgpAcREREREREREREREXkETnoQEREREREREREREZFH4KQHERERERERERERERF5BE56EBERERERERERERGRR+CkBxEREREREREREREReQROehARERERERERERERkUfgpAcREREREREREREREXkETnoQEREREREREREREZFH+H8BDgtOcX8sJgAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Question 23\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Question 24\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Question 25\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Question 26\n" - ] - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABlEAAAEpCAYAAAADPARtAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAD7L0lEQVR4nOzdeVxU1fsH8M8MMGwKKKsoIq6IC4srlluhuKSWWtkmkpoamEtfTdLcC8vcQ63MJa20XDI3FLe0EBcQFXcFd0EUAUXZZs7vj/nNxMgAZ4Y7+/N+veZV3jn3zBkY7tx7nnueR8QYYyCEEEIIIYQQQgghhBBCCCEqxIYeACGEEEIIIYQQQgghhBBCiDGiIAohhBBCCCGEEEIIIYQQQogaFEQhhBBCCCGEEEIIIYQQQghRg4IohBBCCCGEEEIIIYQQQgghalAQhRBCCCGEEEIIIYQQQgghRA0KohBCCCGEEEIIIYQQQgghhKhBQRRCCCGEEEIIIYQQQgghhBA1KIhCCCGEEEIIIYQQQgghhBCiBgVRCCGEEEIIIYQQQgghhBBC1KAgCiEm7unTp/Dw8MAvv/xi0HF07NgRkydPNugYSPWtXbsWIpEIp06d4movk8nQsmVLfPnllzoemW5NmTIFHTp0MPQwiAU5fPgwRCIRDh8+rHUfJ06cgEQiwc2bN4UbmIYePXoER0dH7N6922BjIMK4ffs27Ozs8O+//2q8L50DGNaNGzcgEonw7bffCtZndb7f6TuVWJJhw4ahQYMG1erj448/Ro8ePTTeLz4+HjVq1EB2dna1Xt/QqnM9O2TIELz11ls6GBUhxGwNGwZU87iNjz8GtDhuC2rlSqB+faCoyLDjsCAURLFghw8fxrBhwypto8kJ4cmTJxEdHY0WLVrA0dER9evXx1tvvYUrV65Ub6BaEGosa9euxcyZM3UzSIEsWbIENWvWxJAhQ5TbFBPh6h6ZmZlq+6nuyf9nn32GuLi4Cvsn2ktMTMTMmTORm5tr6KGU89tvv+H27duIjo7W22tevnwZEyZMQKdOnWBnZweRSIQbN25U2P6vv/5CSEgI7OzsUL9+fcyYMQOlpaUqbcaPH48zZ87gr7/+Mvh4AeDTTz9FQEAAAOD8+fN488030bBhQzg4OMDNzQ1dunTBjh07NBqHKRzP1Knuzw8Arl69iiFDhqBevXpwcHCAv78/Zs+ejWfPnnGPY+bMmVi7dq2W70I3pk6dinfeeQe+vr7KbcOGDVN77Pf391fbx40bN9CtWzetx+Dq6ooRI0bgiy++0LoPYhxmz56NDh064KWXXtJ4X32cA9y+fRuzZs1C+/btUatWLbi5uaFbt27Yv3+/2va5ubn46KOP4O7uDkdHR3Tv3h0pKSlq2/J8T2jaZ0WGDRtWreCpvlTn+12X36mEmJuMjAysWrUKn3/+ucb79urVC40bN0ZsbKwORqY/6q5neX322WfYsmULzpw5o4OREWLhVqwA3nxTPlEvEsmDD5V5/BiwtgZ+/13+76++Ajp2BNzdATs7oEkTYPx4QNPAb3UDHkLLyABWrQJePG6LROof8+ap72fmTKA615fDhgHFxcD332vfh7aOHAH69wd8fOS/Wy8voFcvQIubsUwJBVEsTF5eHpKSksptz83NxfHjxwEA+/fvh1QqLddm7969lfb99ddfY8uWLXj11VexZMkSfPTRRzhy5AhCQkKQlpYmzBvgVJ2x3Lp1CxcvXiy3/d69ezh37pyuhqyVkpISLFmyBCNGjICVlVW552fPno3169erPFxcXJTPa/u7VmfAgAFwcnLC8uXLNd6XVC4xMRGzZs0yyiDK/PnzMWTIEDg7O+vtNY8dO4alS5fiyZMnaN68eaVt9+zZg9dffx0uLi5YtmwZXn/9dcydOxdjx45Vaefl5YUBAwYIehevNuNV2LVrF/r27QsAuHnzJp48eYKIiAgsWbJEOVndv39//PDDD5X2Y0rHs4pU9+d3+/ZttG/fHklJSYiOjsbixYsRGhqKGTNm4J133qm0n7S0NNy9e7fc9suXL1cZyKlKly5d8Pz5c3Tp0kWr/VNTU7F//36MHj263HO2trbljv3z589XPl9aWooDBw6U26+wsBB///23xmMZPXo0UlJScPDgQY33JcYhOzsb69atU/t54qGPc4Dt27fj66+/RuPGjTF37lx88cUXePLkCXr06IE1a9aotJXJZOjbty9+/fVXREdH45tvvsGDBw/QrVs3XL16VaUt7/eEJn2+6MSJE3j8+HG57cePHzfK73aget/vuvxOJcTY/Pjjj7h8+bLW+y9ZsgR+fn7o3r27VvuPGjUK33//PZ48eaL1GAypquvZqgQHB6Nt27ZYsGCBDkZHiIX7+mvg4EGgRQt5cKQqe/fKgwY9e8r/nZwMBAUBU6cCcXHAgAHAmjVAp05AQUHlfe3fD6iZq4IWc1Xl/PgjUI3jNpYsAfz8AHXH7R49gPXrVR/9+v33fFoaoOb6EpcvA5peX9rZARERwMKFAGOa7VtdV64AYjEwerT8d/u//wGZmUCXLkB8vH7Hok+MWJQzZ86wpk2bsk8++YTt2LGDRUREsM2bNzM/Pz+2aNEiJpPJ2FtvvcXatm3LUlNTma+vL0tPT2c9e/ZkPXr0YE+ePKmw73///ZcVFRWpbLty5QqztbVl7733nlbj9fX1ZTNmzNB4v+qM5cCBA8zX15fNmTOH/fDDD2z69OlsxYoVzNfXl23cuFHjsejS1q1bGQB27do1le1r1qxhANjJkycr3Lc6v+uKREdHM19fXyaTyTTel1Rs/vz5DADLyMjQ+WvxfHYUUlJSGAC2f/9+wV6f52/+0aNHLD8/nzFW9c8mICCABQYGspKSEuW2qVOnMpFIxC5evKjSdvPmzUwkErHr169X6z1UZ7yMMXb9+nUGgB06dKjCNqWlpSwwMJA1a9as0tc2luNZRkZGle+pItX9+X355ZcMAEtLS1NpN3ToUAaA5eTkVNjXr7/+ynx8fNiKFSvY9OnT2Q8//MDmzJnD/Pz82MGDBzV+L0L65JNPWP369csdbyMiIpijo2Ol+96+fZsFBwezd999l504cYJ17dqVHTp0iDVv3pz973//02o8LVu2ZB988IFW+xLDW7hwIbO3t9fqu1+B9xwgIiKCde3aVeP+09LSWHZ2tsq2wsJC5u/vz+rVq6eyfdOmTQwA++OPP5TbHjx4wFxcXNg777yj0pb3e0KTPl+0YMEC1qBBA7Z582YWERHBduzYwT755BPm7+/Pzp49y/9DqIDiGDt//vxq98WYMN/vuvpOJcScFBcXMzc3NzZt2jSt+8jKymJWVlbsp59+qrRddc7FdKmi61lNfPvtt8zR0bFa32GEmK2ICMa0OO9ijDF24wZjivM6R0d5X5X54IOqX2vzZsYAxn77reI2Mhljb73FWNu2jKWmMubry1h6OmM9ezLWowdjhvxbLy5mzM2NMXXHbYCxqKjK9//1V8Z8fBhbsYKx6dMZ++EHxubMYczPjzFtri9PnZK/7oEDmu+rGPOaNdrt+6KCAsY8PRkLDxemPyNEQRQTlJWVxdzc3FjXrl1VLlSvXr3KHBwc2FtvvVXp/kVFRWz+/PnM29ubOTo6srfeeovduHFDpc2RI0dYx44dmUQiYUFBQWz79u1ajzckJISFhIRota+2QZTqjiU/P5/FxMQwV1dX5uTkxEaPHl3uwr0i69evZ+3atWP29vbMxcWFde7cme3du1elTVxcHAsICGASiYTVqVOHffzxx+zx48cqba5cucIGDhzIPD09ma2tLatbty57++23WW5urrLN0KFDWYMGDcqNoexEeH5+PistLa1wvJX9ri9cuMDs7OzKTYwdPXqUicViNnnyZJXt27dvZwBYSkpKlT8nwmfGjBkMQLmHYhJ59erVrHv37szd3Z1JJBLWvHlztnz58nL9+Pr6sr59+7KjR4+ydu3aMVtbW+bn58fWrVun0k7x2fnnn3/YhAkTmJubG3NwcGCvv/46e/DggUrb6dOnM4lEwoqLi5Xbnj17xpo1a8aaNWvGnj17ptz+6NEj5uXlxUJDQyv9PGr6N1/ZpPr58+cZABYXF6ey/e7duwwAmzNnjsr23NxcJhKJ2MKFC7lfX1M8QYClS5cyZ2dnlQk9dV577TXm6elZ5WtqczxbvXo1A1DuglwRkNi1a1eVr1uWUBfu2vz8PvvsMwag3Hv+7LPPmFgsZk+fPq30NR88eMBGjRrFnJycmKurK5s6dWqV+zDG2G+//cZCQkJYjRo1WM2aNVnLli3Z4sWLlc8fOnSo3M+ka9eurEWLFuz8+fOsW7duzN7ennl7e7Ovv/66XP/169dnw4YNK7ddEUQpLS1leXl5FY5PKpWy1atXs8aNGzN7e3vWo0cPdu7cOeXzmn4GJkyYwFxcXCiIXk137txhkZGRzMPDg0kkEhYQEKDyO9DkGKv4LFy/fp317NmTOTg4sDp16rBZs2aV+z116dKFdevWTWWbrs4BtA2iVGTixIkMgDLYyhhjb775JvP09GRSqVSl7UcffcQcHBxYYWEhY0yz7wnePiuSkZHB3nzzTebo6Mi8vb3ZggULVL4/1SkqKmJffPEFCwkJYU5OTszBwYG9/PLL5YK4ZYMoCxcuZPXr12d2dnasS5cuKn/XjDF2//59NmzYMFa3bl0mkUiYl5cX69+/v8pxVYjvd318pxKiD/n5+WzcuHHM19eXSSQS5u7uzsLCwlhycjJjTH5M8/X1VbYv+/f4/fffs4YNGzKJRMLatm3LTpw4odL3wYMHGQB2+PBhle1Dhw5ltra27MKFCyrbe/bsyVxcXNjdu3dVtgcHB7P+/ftX+j40ORcz9PWspvMdZ86cYQDY1q1bq3xvhBi1Z88Ya9ZM/ijzXcsePWLMy4ux0FDGKrmWVqs6QZSyqgqiSKWMubsz9s03lfejmPRfsaLq1zxyhLGOHRmTSBgLCmKMZ14yP5+xcePkgReJRD6msDDG/v+YzRiTv48yx22WkSEf0/z5jH3/PWMNG8r3bduWsReO2+zgQXnbF47bjLH/gijPnjH2/HnFY3zwgLFRoxhzcmLM1ZWxqVMZU1xfymSMdesmD9RkZf23T1ERYy1bysf24rVo7dqMffJJlT8atYQMojAmH2OHDsL1Z2QonZcJ8vDwwIoVK/D3339j2bJlAOQpBoYNG4aaNWtWmUpBJBJBLBZDJBIp/634f4WyzyvaaIMxhqysLLi5uWm1v5A0GYtYLIZY/N+fB+/7nzVrFj744APY2Nhg9uzZmDVrFnx8fFRSnMycORNRUVHw9vbGggULMGjQIHz//ffo2bMnSkpKAADFxcUIDw9HUlISxo4di7i4OHz00UdIT09XSfuQmJiIkJCQCsfTvXt3ODk5wcHBAf3791ebbqKy33Xz5s0xZ84crF+/XpnXuqCgAMOGDVPWFCirTZs2AKBVUVqi3sCBA5UphxYtWqRMzePu7g4AWLFiBXx9ffH5559jwYIF8PHxwccff4y4uLhyfV27dg2DBw9Gjx49sGDBAtSqVQvDhg3D+fPny7UdO3Yszpw5gxkzZmDMmDHYsWNHubzoiYmJaNmyJWxsbJTb7O3tsW7dOly7dg1Tp05Vbo+KikJeXh7Wrl2r1VJ9bZw+fRoA0LZtW5Xt3t7eqFevnvJ5BWdnZzRq1Mjgn9/du3ejR48esH5hyXRBQQEePnyI69evY9GiRdizZw9effXVKvvT5ngWGRmJ1157DRMnTsTt27cBAOfOncOsWbMwfPhw9OnTR8N3pT8v/vwU9T6GDx+O1NRU3L59G5s2bcKKFSvwySefwNHRsdL+FN+ZZf9dlYSEBLzzzjuoVasWvv76a8ybNw/dunXj+mw9fvwYvXr1QmBgIBYsWAB/f3989tln2LNnj7LN3bt3cevWrQqP/8+ePYOTkxOcnZ1Ru3ZtREVF4enTp1W+r7LvTdPPQJs2bZCbm6v2eEL4ZGVloWPHjti/fz+io6OxZMkSNG7cGMOHD8fixYsBaH6MlUql6NWrFzw9PfHNN9+gTZs2mDFjBmbMmKFsU1JSgpMnT5b7PJnKOUBmZiYcHBzg4OCg3Hb69GmEhISofMYBoH379nj27JmyRp4m3xO8fVak7N+YunNvdfLz87Fq1Sp069YNX3/9NWbOnIns7GyEh4cjNTW1XPuff/4ZS5cuRVRUFGJiYpCWloZXXnkFWVlZyjaDBg3Ctm3bEBkZieXLl+OTTz7BkydPcOvWLWUbIb7fjeU7lZDqGj16NFasWIFBgwZh+fLl+N///gd7e3u16VLL+vXXXzF//nyMGjUKc+fOxY0bNzBw4EDl9R4g/1sTiUQIDg5W2XfJkiVwd3dHRESEMvXy999/j3379mHZsmXw9vZWad+mTRskJiYK8n6N4XpW0/mOgIAA2Nvb0/GGmD57e2DdOuDaNXkKLIWoKCAvT14/Q0/X0ho7eVJe6+TF60TGgIcP5amejh4FPvlE/h54ajKKxfL0YAo883KjR8truQwaBCxfLk8zZW8PVHHMBgD8+iswfz4wahQwd648vdbAgUCZ4zYSE+XjeOG4rbR2LeDoKH/NgAB5ny8SieTvTd37EomA1auBwkL5e1GYMQM4f16eDu3F69eQEMPVIsnPl/9+L12S14hJSwM45ihMlqGjOER777zzDnNwcGBXrlxR3p37559/VrrP2bNnmb+/Pxs7dqwyndcff/zB/Pz82OLFi5lMJmPvvvtuuRRPPXr00CrF0/r169XeycpLyJUovGM5dOgQ8/PzY7Nnz1amv1m+fHmV6W+uXr3KxGIxe+ONN8rdpai4g+bBgwdMIpGwnj17qrT57rvvGAC2evVqxhhjp0+fLpcy4kUlJSVMJBKxTz/9tNxzmzZtYsOGDWPr1q1j27ZtY9OmTWMODg7Mzc2N3bp1Szkmnt+1VCplL7/8MvP09GQPHz5kUVFRzNrausJ0TxKJhI0ZM6bCcRPNVXb3fdm7QRXCw8NZw4YNVbb5+voyAOzIkSPKbQ8ePGC2trYqnyHFSpSwsDCVO78mTJjArKysVO4cq1evHhs0aJDaMcfExDCxWMyOHDnC/vjjDwZA5S78igi5EkXxnOIzX1a7du1Yx44dy23v2bMna968Offra6qqlRQFBQXMzs6OrVFzN8ioUaOUK5HEYjEbPHhwpamoGNP+eMaY/G7l2rVrsx49erCioiIWHBzM6tevX+nqhoroayVKRT+/OXPmMHt7e5XVXFOnTq3y9TZu3Mjq16/Pli9frkznNXv27CrTeY0bN445OTlVuuqqopUoANjPP/+s3FZUVMS8vLxU/tb279/PALAdO3aU63fKlCnss88+Y5s2bWK//fYbi4iIYADYSy+9pFydc+fOHda2bVv2zjvvqKTz8vf3Z5MmTVL2pclnIDExkQFgmzZtqvA9k8oNHz6c1alThz18+FBl+5AhQ5izs7PK8Z7nGKv43Y8dO1a5TSaTsb59+zKJRKJcnXXt2jUGgC1btqzcmHRxDiDkSpSrV6+qXS3j6OjIPvzww3Ltd+3axQCw+Ph4xphm3xO8faqzePFi1qBBA/bHH38o03mNHTu2ynRepaWl5dLTPn78mHl6eqqMRXGMtbe3Z3fu3FFuP378OAPAJkyYoNwXHGm/hPp+1/V3KiH64OzszKIqSc9S0UoUV1dXlfM0xWq9st/d77//PnN1dVXb7969exkANnfuXJaens5q1KjBXn/9dbVtv/rqKwaAZZW9a/kFPOdixnQ9y5hm8x1NmzZlvXv3rvC1CDEpMTGMicXylRh//CFfLcBxLa2WvlaifPGF6uoOhfv35eNXPOrVY6yq6wWZjLF33y2fzqtHj6rTeTk7V51Sq6KVKK6ujJW9vt6+Xb697DXX++/L26nTqZP897R9u3ylTcuW8v3LZgrZuJGx+vXl2xTpvGbPLp/O6/vv5ftu2MBYUhJjVlaMjR+v/nU/+ogxe/vK33NFqrsSJTz8v9+tRCJfYVPZKhwTR0EUE/bo0SNWp04d1rp1a7UXkOrk5uayY8eOMcbkEzgR/38QfPz4MUtKSmKMMbZv3z7lxE/ZE8I9e/ZoNL6LFy8yJyenKtP3KBQWFrLs7GyVh4+PD5s0aVK57ZrSZCw3btxQLp1es2aNckL37t27lV7oKk7sTp8+XWGbX3/9lQFgu3fvVtleVFTEnJyclBes6enpDAAbMWIEKygoUNtXVlaW8sSax9GjR5lIJGKjRo1SbuP9XV+7do05Ojqydu3aMZFIxL744osKX8fT05O9+eabXGMifHhrouTm5rLs7GzlhVTZgIevry8LCAgot0/r1q3ZG2+8ofy3Iojy+++/q7RT5Cs+c+aMcpu9vT0bMWKE2rEUFRWxVq1aMT8/P+bu7l5uOT5jwvzNV/azmT17doUXlJ07d2aBgYHltr/99tvM3d29wterrqp+lzt27GAikYhlZmaWe+7ixYssISGBrVu3jvXt25e98cYbatuVpe3xTOG3335jAFj79u2ZSCTizo//5MkTld+fIr/+n3/+qbK97GeUh7Y/v/Xr17Pw8HD2ww8/sC1btrAPP/yQiUQitZPGZZ07d045ITljxgxlcObixYuV/j3OmDGDWVlZVfq9WVEQpUaNGuX+Vvr378+Cg4OV/1bUZvjnn38qHb+CIgXXb/+fe7ikpIQlJCQwxuSTKooJ7efPn5dLKcL7Gbh48aLatEiEj0wmYy4uLuyjjz4qd/wrm2ZRgecYqwiiXL58WWX7nj17VD4Pion2DRs2qB1bdc4BpFJpufczZMgQ1qlTp3Lbq0pt9aKCggIWFBTEatWqVS61jVgsVhvMOXDgAAPAtm3bxhjT7HuCt091kpKSlJOpERERyr/7pKSkculvKiKVStmjR49YdnY269u3LwsKClI+p5gcVVebpUOHDsr6WYWFhUwikbC+fftWGoSv7ve7gq6/UwnRB19fX9a2bdtyxxmFioIoH3/8sUq7nJwcBoAtWbJEua13796scePGFb72qFGjlCmX3dzcKgySrFixggFg58+fV27T5lzM2K5nNZnv6NChA2vXrl2FzxNiUoqKGGvVSj6x7u4uD4LwpMyVShnLzlZ9DBkin9x/cbuG511VBlHatGHsheOe8r0kJMgDEbNny9Ny8dxkvW/ff6nLygY8qpqX9PWVB18qOGYzxioOorw4/pwc+fYyx23WuzdjlRy3VShScLm4/Jee7dw5xhQ3vMyY8V8A4+JF+TjKCg9nrFYtxpo0YaxpU9UUb2V99pl8nBUca5UKCsp/DgDGli1T3VbFjZoqTp+W/65++omxLl0Yi4w0bM0aHaN0XkasuLgYmZmZKg/Fcl4AqF27NpYuXYqzZ8/C2dkZS5curbJPZ2dndOzYsdx2FxcXdOjQAQDQo0cPtel2evXqxT32zMxM9O3bF87Ozti8eTNX+p7ffvsN7u7uKo/bt29j/vz55bZrQtOx+Pr6onnz5uW2e3t7o1WrVhXud/36dYjFYgQEBFTY5ubNmwCAZs2aqWyXSCRo2LCh8nk/Pz9MnDgRq1atgpubG8LDwxEXF4e8vLxyfTLGKn0/Ci+//DI6dOiA/fv3K7fx/q4bNWqEmTNn4uTJk2jRogW++OKLCl+HMaZ1+jeiuX///RdhYWFwdHSEi4sL3N3d8fnnnwNAuc9L/fr1y+1fq1YtPH78uNz2F9vWqlULAMq1rejzJ5FIsHr1amRkZODJkydYs2ZNuc+Frv7mFezt7QEARUVF5Z4rLCxUPv/i+6nq85uXl6dyXM7JydFqfOrs2rULbdu2haenZ7nn/P39ERYWhqFDh2Lnzp14+vQp+vXrV+kxQNvjmcKQIUPQt29fnDhxAiNHjuRKHwYA0dHRKr8/RZqG119/XWX7gAEDuPrjpe7nt3HjRnz00UdYtWoVRo4ciYEDB+Knn35CREQEPvvsMzx69KjC/lq2bIm6deuW2+7v748GDRpUuN/HH3+Mpk2bonfv3qhXrx4+/PBDxMfHc72HevXqlfsMVvR3ynv8nzBhAsRisfL4b21tjbCwsHLt7Ozs0LVrV5VtvJ8BxVjo+K+d7Oxs5Obm4ocffih3/IuMjAQAPHjwQNme5xgLyNP5NWzYUGVb06ZNAQA3btxQ2V7R56k65wC3bt0q9342btyIxMTEcts1ScMilUoxZMgQXLhwAZs3by6X2sbe3r7CY7/i+bL/5fme4O1TnQ4dOii/R1/c7uLiUuF+ALBu3Tq0bt0adnZ2cHV1hbu7O3bt2qX2nLBJkybltjVt2lT5u7a1tcXXX3+NPXv2wNPTE126dME333yDzMzMcvtV5/u9bB90TCCm7ptvvkFaWhp8fHzQvn17zJw5E+np6VXuV91zaQD49ttvUbt2baSmpmLp0qXw8PBQ207dd7A252LGdj2ryXwHHW+IWZFI5CmdMjKAJ0/kKZx4Pt+3bgHu7qqPjRvlKahe3C5k+qfMTCAlBejbV/17CQsDXnsN+OILIC4OGD4c2Lmz8j579FCfuqyqeclvvpGnlPLxAdq3B2bOBDiO2QCAF+dLFOduL16HcV6DQSIBoqOB3FwgOVm+rWVLQM31Jfz9gRevL3/6CXj2DLh6VZ4mrKJzTcV4qvqMfPNN+c8BAIwdq7qtolRl6gQFyX9XH34IJCQAJ04Aw4bx729irKtuQgwlMTER3bt3V9mWkZGhMnGzd+9eAPKTsTt37lR5IVZWt27dlLniK/LiBTaPvLw89O7dG7m5uTh69Gi5C9uKhIeHIyEhQWXb+++/j549e2Lo0KEaj6M6Y1EYZsA//gULFmDYsGHYvn079u3bh08++QSxsbFISkpCvXr1ULt2bYhEIrUTaxXx8fHB5cuX1T5X1e963759AIB79+7h0aNH8PLyUtsuNzfXKGrgWILr16/j1Vdfhb+/PxYuXAgfHx9IJBLs3r0bixYtgkwmU2lfUQBR3YULT1tXV9dKP3+K41NhYSGuXr0KPz8/led18TdfVp06dQAA9+/fh4+Pj8pz9+/fR/v27cvt8/jx4yo/v+PGjcO6deuU/+7atSsOHz5c7fEC8noeignTqgwePBijRo3ClStXyl3IqqPN8ezRo0c4deoUAODChQuQyWTl6gGoM3nyZLz//vvKf2dlZeH999/Ht99+i8DAQOV2dZOK1aHu57d8+XIEBwejXr16Ktv79++PtWvX4vTp02oDCi+aOXMm9zg8PDyQmpqKvXv3Ys+ePdizZw/WrFmDoUOHqnx21OH92wPKT8RUxN7eHq6urmoDfg0aNKj088v7GVCMhY7/2lEcr99//31ERESobdO6dWuVf1d1jOXF83nS9hzAy8ur3HF+/vz5yMzMxIIFC1S2lz02VGXkyJHYuXMnfvnlF7zyyivlnq9Tpw7u379fbrtim+J8UJPvCd4+q7J27VqudgCwYcMGDBs2DK+//jomTZoEDw8PWFlZITY2FtevX+fup6zx48ejX79++PPPP7F371588cUXiI2NxcGDB5V1Gar7/a7A851KiLF766230LlzZ2zbtg379u3D/Pnz8fXXX2Pr1q3o3bt3hfsJcS59+vRpZQD93LlzyjqJL1L3HWyoc7GyhLie5Z3vePz4sdpAMiEm6/8/+ygslE+i85zneXnJJ7LLmj9fHuR44bwLGpx3VWnPHsDODnhh/lKtTp2AOnWAX36RB1Z4aDIv+dZbQOfOwLZtwL598vf/9dfA1q1AJcdsABXXmyk7X+LqWj6oUhnF+aW6Gy+rur48fBhQ3MBz7hwQGqq+3ePHgINDxUEWhaFDgZdfVt3WowcwaRLQs+d/26rqpyISCdC/PzBvHvD8ufb9GDEKohixwMDAcheeZS9a4+PjsWrVKkyePBm//PILIiIicPz48XLFiPWpsLAQ/fr1w5UrV7B///5K72J5UZ06dZQXswp2dnZo2LAh1wSXkGPRRqNGjSCTyXDhwgUEBQWpbePr6wsAuHz5ssqdocXFxcjIyCj3Plu1aoVWrVph2rRpSExMxEsvvYSVK1di7ty5sLa2RqNGjZCRkcE9xvT0dK3u6l+5ciUSEhLw5ZdfIjY2FqNGjcL27dvLtbt79y6Ki4vV3vlOtFfRXVU7duxAUVER/vrrL5W73Q4dOqSXcfn7+1f4+Tt79ixmz56NyMhIpKamYsSIETh37hycnZ2VbYT+m3+R4u/w1KlTKhNh9+7dw507d/DRRx+V2ycjI6PKibwXL0qFuvhMS0vDrVu30FfdHTxqPH/+HED5FUdCioqKwpMnTxAbG4uYmBgsXrwYEydOrHK/gIAAlWOuIkjbpk2bKoP32qro55eVlaX2d6QofFpaWqqT8UgkEvTr1w/9+vWDTCbDxx9/jO+//x5ffPEFGjduXK2+/f39AYD7+P/kyRM8fPhQq+M/72dAMRY6/mvH3d0dNWvWhFQq5Tr+8RxjAXlwJj09Xbn6BICyALrippz69evD3t6+ws9Tdc4B7Ozsyr2fDRs2oKioSOvj/KRJk7BmzRosXry4wgnFoKAgHD16tFzQ7/jx43BwcFD+PDT5nuDtU0ibN29Gw4YNsXXrVpVzgRkzZqhtf/Xq1XLbrly5Um7lXKNGjfDpp5/i008/xdWrVxEUFIQFCxZgw4YNAKr//a7A851KiCmoU6cOPv74Y3z88cd48OABQkJC8OWXX1YaROHh7++PX375BXl5eeX+hgoKChAZGYmAgAB06tQJ33zzDd544w20a9euXD8ZGRlwc3NT+Z7X5lzM2K5neec7SktLcfv2bfTv319tP4SYnLNngdmzgchIIDUVGDFCPomu5rtWhZ2dfNVHWRs2yCfiBbi+rtCuXfIACu+keWEhoMNrWNSpA3z8sfzx4IG88PqXX1YdROHh7y8PAOXlVf37AP5bBaPpddj9+/IVIj17yoMT//sfEB4O/P8xWEVGBsBzDdawofzxooAA4T4fz5/Lg05PnphlEIXSeRmxWrVqISwsTOVhZ2cHQH6n34gRI9C+fXt89dVXWLVqFVJSUvDVV18ZbLxSqRRvv/02jh07hj/++AOhFUVJzXQsr7/+OsRiMWbPnl1uBYDijqOwsDBIJBIsXbpU5S6kn376CXl5ecrJv/z8/HITe61atYJYLFZJJREaGqq8Q7is7Ozsctt2796N5ORkjdKyAfKT8kmTJmHQoEH4/PPP8e233+Kvv/7Czz//XK5t8v8vUezUqZNGr0Eq5+joCED+d1+W4g63sp+lvLw8rFmzRi/jCg0NRVpaWrn0JiUlJRg2bBi8vb2xZMkSrF27FllZWZgwYYJexqXQokUL+Pv744cfflBJhbhixQqIRCIMHjxYpX1eXh6uX79e5ec3ICBA5bjcpk0bQca7e/dueHp6om3btirby6bwUSgpKcHPP/8Me3t7nQWIN2/ejE2bNmHevHmYMmUKhgwZgmnTpiknYI1NRT+/pk2b4vTp0+XG/dtvv0EsFpe7u18IL6YIK/s66tIBaapu3brw8fEpd/wvLCzEkydPyrWfM2cOGGMaH/81+QwkJyfD2dkZLVq00OzNEADy4/mgQYOwZcsWpKWllXu+7Pe6psfY7777Tvn/jDF89913sLGxUaZms7GxQdu2bdWeTxjbOcD8+fPx7bff4vPPP8e4ceMqbDd48GBkZWVh69atym0PHz7EH3/8gX79+sHW1haAZt8TvH0KSd33/PHjx3Hs2DG17f/880/cvXtX+e8TJ07g+PHjyoneZ8+eKdOPKTRq1Ag1a9Ysd35Z3e933u9UQoyZVCotd7OKh4cHvL29Bfk+Dw0NBWNMefws67PPPsOtW7ewbt06LFy4EA0aNEBERITa101OThbketeYrmc1me+4cOECCgsL6XhDzENJiTwdkrc3sGSJPI1TVhag52tpbiUl8tUvL94IWFAgT0X1oi1b5CsnXrhmE4RUWj444+Eh/1kKcMwGIF8Nwth/6bkU1MzB4ckTYPFiwM0N0HTOYORIQCaTp/T64QfA2lqeBk1dKrGUFPkKH31SM0eB3Fz579fHR/5zN0O0EsVEjRs3Do8ePcL+/fthZWWFXr16YcSIEZg7dy4GDBhgkLu+Pv30U/z111/o168fcnJylHezKZS9c9scx9K4cWNMnToVc+bMQefOnTFw4EDY2tri5MmT8Pb2RmxsLNzd3RETE4NZs2ahV69e6N+/Py5fvozly5ejXbt2ynEdPHgQ0dHRePPNN9G0aVOUlpZi/fr1ykkWhQEDBmD9+vW4cuWKyh2QnTp1QnBwMNq2bQtnZ2ekpKRg9erV8PHxUdbL4MEYw4cffgh7e3usWLECADBq1Chs2bIF48aNQ1hYmEr6ioSEBNSvX1+ZDoIIQzFJP3XqVAwZMgQ2Njbo168fevbsqbzbfdSoUXj69Cl+/PFHeHh4qE05IrQBAwZgzpw5+Pvvv9GzzPLPuXPnIjU1FQcOHEDNmjXRunVrTJ8+HdOmTcPgwYPRp0+far1uXl4eli1bBgDKHPrfffcdXFxc4OLigujoaGXb+fPno3///ujZsyeGDBmCtLQ0fPfddxgxYkS5O+b3798PxpjgdTp4x7tr1y707t273MqjUaNGIT8/H126dEHdunWRmZmJX375BZcuXcKCBQtQo0YNQccLyAM3Y8aMQffu3ZXj++6773Do0CEMGzYM//zzD1daLyFU9+c3adIk7NmzB507d0Z0dDRcXV2xc+dO7NmzByNGjNA4zSOPESNGICcnB6+88grq1auHmzdvYtmyZQgKChJspcaAAQOwbds2lRzgmZmZCA4OxjvvvKNcrbJ3717s3r0bvXr10uizrelnICEhAf369aN85NUwb948HDp0CB06dMDIkSMREBCAnJwcpKSkYP/+/cp0bJocY+3s7BAfH4+IiAh06NABe/bswa5du/D555+r3LE8YMAATJ06Ffn5+XBycgJgfOcA27Ztw+TJk9GkSRM0b9683Lldjx49lPWQBg8ejI4dOyIyMhIXLlyAm5sbli9fDqlUilmzZqnsx/s9oUmfQnnttdewdetWvPHGG+jbty8yMjKwcuVKBAQE4OnTp+XaN27cGC+//DLGjBmDoqIiLF68GK6urpg8eTIA+aqUV199FW+99RYCAgJgbW2Nbdu2ISsrC0OGDFH2I8T3u66+UwnRpydPnqBevXoYPHgwAgMDUaNGDezfvx8nT54sl5JQGy+//DJcXV2xf/9+ldSEBw8exPLlyzFjxgxlLZM1a9agW7du+OKLL/DNN98o2z548ABnz55FVFRUtcdjTNezmsx3JCQkwMHBAT169Kj2z4AQg5s7V7765MABoGZNoHVrYPp0YNo0YPBgoJrX0hrZsQM4c0b+/yUl8hUyc+fK/92/v3xs//wD5OeXD6JcvSpf3fD22/LVG2IxcOqUfGVMgwZAJTfDaO3JE6BePfnPKTAQqFED2L8fOHmyfDozbb38sjyl1/79QNmUsnFxwJ9/Av36yWur3L8vr2tz6xawfr18NQmvNWvkq3vWrpW/HwBYtgx4/31gxQr5ChuF5GR5qjB9n2/17i0fW4cO8oDJrVvycd+7B2zapN+x6JPOS9cTwW3fvp0BYAsWLFDZnp+fz3x9fVlgYCArLi7W+7i6du3KAFT40Iavry+bMWOGUYyF1+rVq1lwcDCztbVltWrVYl27dmUJCQkqbb777jvm7+/PbGxsmKenJxszZgx7/Pix8vn09HT24YcfskaNGjE7OztWu3Zt1r17d7Z//36VfoqKipibmxubM2eOyvapU6eyoKAg5uzszGxsbFj9+vXZmDFjWGZmpkbvZcmSJQwA27Jli8r2W7duMScnJ9anTx/lNqlUyurUqcOmTZum0WsQPnPmzGF169ZlYrGYAWAZGRmMMcb++usv1rp1a2ZnZ8caNGjAvv76a7Z69WqVNozJ/5b69u1brt+uXbuyrl27Kv+9Zs0aBoCdPHlSpd2hQ4cYAHbo0CGV7a1bt2bDhw9X/js5OZlZW1uzsWPHqrQrLS1l7dq1Y97e3iqf9Rfx/M1nZGRU+Lft6+tbrv22bdtYUFAQs7W1ZfXq1WPTpk1Te4x8++232csvv1zpa2uDZ7y5ubnM2tqa/f777+X2/+2331hYWBjz9PRk1tbWrFatWiwsLIxt375d8LEqDBw4kNWsWZPduHFDZbvi++frr7/WqD/Fz+DFz48m+2r782OMsePHj7PevXszLy8vZmNjw5o2bcq+/PJLVlJSovF4eGzevJn17NmTeXh4MIlEwurXr89GjRrF7t+/r2yj7m+qa9eurEWLFuX6i4iIKPfZTklJYQDY0aNHldseP37M3n//fda4cWPm4ODAbG1tWYsWLdhXX32l8XmBJp+BixcvMgDlvqOI5rKyslhUVBTz8fFhNjY2zMvLi7366qvshx9+YIxpdoyNiIhgjo6O7Pr166xnz57MwcGBeXp6shkzZjCpVFruda2trdn69euV23R1DhAREaHyvcNrxowZlZ7bvXh8ycnJYcOHD2eurq7MwcGBde3atdx3mwLv94QmfQpBJpOxr776ivn6+jJbW1sWHBzMdu7cWe6YoDhOzp8/ny1YsID5+PgwW1tb1rlzZ3bmzBllu4cPH7KoqCjm7+/PHB0dmbOzM+vQoYPaY2d1v9919Z1KiD4VFRWxSZMmscDAQFazZk3m6OjIAgMD2fLly5VtKvt7fBGAcue5n3zyCWvcuLHy34pr+pCQkHLnKRMmTGBisZgdO3ZMuW3FihXMwcGB5efnV/peNDkXM/T1rKbzHR06dGDvv/9+le+LEKOXnMyYtTVjL3zXstJSxtq1Y8zbm7FKrqXViohgTIvzLuW+8rUP5R9r1sjb/O9/jAUElN83O5uxjz5izN+fMUdHxiQSxpo0YWz8ePlzulBUxNikSYwFBjJWs6b8dQMDGStzzFa+r7LXVhkZ8vek5rjNAMZenJ/45BPGyhy3GWOM7dvHWI8ejHl5MWZjw5iLC2M9ezJ24IBm7+H2bcacnRnr16/8c2+8IX9P6en/bfvsM8bq12dMJtPsdRTK/i418d13jL38MmNubvLPrLu7fMxHjmg3DhMhYkzdWiBCiKmYM2cO1qxZg6tXr1ZYwFAf/vzzT7z77ru4fv16uToXxHytX78eUVFRuHXrVoWFHk1BZmYm/Pz8sHHjRoPcNfv777/jvffew8OHD9XmlSeVs9Sf36uvvgpvb2+sX7/eoOMYP348jhw5guTkZFqJYkSGDRuGzZs3q12xoM7w4cNx5coVHD16VOPXonMA81Od73dDf6cSYkrS09Ph7++PPXv2KNMsaiI4OBjdunXDokWLdDA6/ajO9WxqaipCQkKQkpJSYR0XQogOBQTIC8SXWSFn9tLT5atr9uwBtDhuC6aoSL6qZ8oU3azsIeVQTRRCTNyECRPw9OlTbNy40aDj+PrrrxEdHU2TJxbmvffeQ/369REXF2fooVTL4sWL0apVK4NN9ri4uGDp0qUWFQAQkqX+/L766its2rQJN2/eNNgYHj16hFWrVmHu3LkUQDFxM2bMwMmTJ5Vp8zRB5wDmpzrf74b+TiXElDRs2BDDhw/HvHnzNN43Pj4eV69eRUxMjA5Gpj/VuZ6dN28eBg8eTAEUQgyhuFierisy0tAj0a+GDeX1SbQ4bgtqzRrAxgYYPdqw47AgtBKFEEIIIYQQM6PpShRCCCGEEEIIIerRShRCCCGEEEIIIYQQQgghhBA1aCUKIYQQQgghhBBCCCGEEEKIGrQShRBCCCGEEEIIIYQQQgghRA0KohBCCCGEEEIIIYQQQgghhKhhbegB6INMJsO9e/dQs2ZNiEQiQw+HEGKkGGN48uQJvL29IRabR4yZjn+EEF50DCSEWCpzPP4BdAwkhPAxx2MgHf8IIbx4j4EWEUS5d+8efHx8DD0MQoiJuH37NurVq2foYQiCjn+EEE3RMZAQYql0efw7cuQI5s+fj+TkZNy/fx/btm3D66+/XmH7w4cPo3v37uW2379/H15eXlyvScdAQogm6ByQEGLJqjoGWkQQpWbNmgDkPwwnJycDj4YQYqzy8/Ph4+OjPGaYAzr+EUJ40TGQEGKp9HH8KygoQGBgID788EMMHDiQe7/Lly+rHL88PDy496VjICGEB50DEkIsGe8x0CKCKIqle05OTnTwJIRUyZiX+86bNw8xMTEYN24cFi9eXGV7Ov4RQjRlzMdATdExkBCiCV0e/3r37o3evXtrvJ+HhwdcXFy0ek06BhJCNEHngIQQS1bVMdA8kh0SQogFOHnyJL7//nu0bt3a0EMhhBBCCCF6EBQUhDp16qBHjx74999/K21bVFSE/Px8lQchhBBCCKk+CqIQQogJePr0Kd577z38+OOPqFWrlqGHQwghhBBCdKhOnTpYuXIltmzZgi1btsDHxwfdunVDSkpKhfvExsbC2dlZ+aB6AIQQQgghwqAgCiGEmICoqCj07dsXYWFhlbajOxAJIYQQQkxfs2bNMGrUKLRp0wadOnXC6tWr0alTJyxatKjCfWJiYpCXl6d83L59W48jJoQQQggxXxZRE4UQhefFUkz/6yziz95HQTGDxFqMhu6O+F9Pf3Rt5g4rsfnkACXmY+PGjUhJScHJkyerbBsbG4tZs2bpYVTqFZfK8OPRa1ifmIHsJ6UQi0XwcLLFex18MaJzQ0isKXZPCCGEEN2RyhhOZOTgwZNCeNS0Q3u/2mZzjt++fXv8888/FT5va2sLW1tbPY7IuEllDEcuPsDXey8gPfsZmIjOS6vytLAUY385icRrOShhgL3ECu39amPZOyGoYUfTRy+i+QVCCDEeUhlD0vVHOJb+EIAIoY1c0bGhq2DHYvoWJBZjxLqT2H/xgcq2wlIZLtx/gg/XnYQYwPL3Q9CrZR3DDJAQNW7fvo1x48YhISEBdnZ2VbaPiYnBxIkTlf/Oz8/XWyqHL3ddwI9HM1S2SWUMd3ML8c3ey/hm72WM7NwAU/u20Mt4CCGEEGJZ4tPuY9aOC7ifV6jcVsfZDjP6BZjFOX5qairq1DH996EPu8/eR/RvKZCxMhsZnZdW5rVlR5F2V3UVe0GxFIcuZ6PlzL1o6V0DOz/paqDRGZ/ha0/iwCWaXyCEEGMQn3YfU7acQ+7zEuW27w5dg4uDDeYNbCXIsZhuvSAWof93R8sFUF4kAzB6Qwri0+7rZ1CEcEhOTsaDBw8QEhICa2trWFtb4++//8bSpUthbW0NqVSq0t7W1hZOTk4qD30Y+fPJcgEUdX48egMjf656RQ0hhBBCiCbi0+5jzIYUlQAKAGTmFWKMEZzjP336FKmpqUhNTQUAZGRkIDU1Fbdu3QIgvxFm6NChyvaLFy/G9u3bce3aNaSlpWH8+PE4ePAgoqKiDDF8kxK7+wI+/vWFAIoadF76n9Yz95YLoLwo7d5TtJ2zT08jMm5d5x8sF0B5Ec0vEEKIfsSn3cfoDSkqARSF3Gclgh2LaSUKMUmKZcZJ6TkoZZUvy/4r5Q7O3uGvCzF6Qwquf9Wn3HIvxVLdvecy8bxEhhp2Nghv4YUZ/VrAXmIlyPsi5EWvvvoqzp07p7ItMjIS/v7++Oyzz2BlZfjP3s7Uu0i4UPlFRFkJFx5gx5l76BforcNREUIIIcRSSGUMs3ZcgLo5c8W2WTsuoEeAl8HS65w6dQrdu3dX/luxcjgiIgJr167F/fv3lQEVACguLsann36Ku3fvwsHBAa1bt8b+/ftV+iDl7T57D98fqfrGHgU6LwX6LD6E/MJSrrYPC0oQueYE1kS21/GojNesHedw89Fz7vYf/5KCq1+Wn18ghBBSfVIZwye/na6ynRDngRREISbntaVHkXavbFBEdVn28Jd98cVrLQH8/x/T72c0fo2wBYdxaNJ/Fygfrj2Bg5eyVdo8flaCjSdvY+PJ23ilmStWR3bU6v0QUpmaNWuiZcuWKtscHR3h6upabrshSGUM0RtTNd5v4u+p6NOqDl1MEEIIIaTaTmTklFuB8qL7eYU4kZGD0EauehqVqm7duoGxipdGrF27VuXfkydPxuTJk3U8KvMilTFE/1r1RMqLPvnttMWel/6VcgcXMp9ptM+hy9kWG3gqLpVhzb+3qm5YhowB0b8kY8UHbXU0KkIIMW9la+8+fFoKa6v/6k+dvpmDYmkVS08hzHmgyaTziouLQ4MGDWBnZ4cOHTrgxIkThh4SMQD/L/a8EEAp76d/bqLfsiMAgKhfT2n1OhmPnmF76l0AQNu5CeUCKC86ePkR2s1N0Oq1CDFlr357UKv9SqQMiVcfCjwaQgghhFiizPzKAyiatiOmaUnCZci02I9BPsltaaQyhnFa3HAIyG+IklaVL80MfbAqSav99pzPQnGpNp9OQgixbHN2XkDTaXswf+9VZD4pRSlTrT+17PB17r4ePKneeaBJBFE2bdqEiRMnYsaMGUhJSUFgYCDCw8Px4AF/+hhi+oJn7kFhCd+Jx7m7TxC5+jji07T/jIzfmIqXYhPw8GkxV/vsp8X4cC0F94juHT58GIsXL9bLaz0vlmLS5tNoNX03GsXsQovp8YhccwJPC0vxV8od3MjR/kto5s40AUdKCCGEEEuV87RI0HbE9EhlDHEaTKS8yBInuZckXFabAo+HJd4QVVwqw/Ebj7Xe/4OftAvAEEKIpeq/7Ch++oc/RWdVPGraVWt/kwiiLFy4ECNHjkRkZCQCAgKwcuVKODg4YPXq1YYeGtGTGX+dxeNCzU5qD12p3kkdA3A3jy+AonDwUjaeF0urbkiICfhw7Qk0nx6PP07dw5NiBikDCoqlOHQ5Gy1n7tUqVV5Z17OfWdzFKiGEEEKEV9tRImg7YnoSrz0ERzaPSsVsPSvMYEyAVMaw4m/tg06A5d0QNWVz9a59jmc8pmsfQgjhNHztcZy9y1/fuir2NmK096tdrT6MPohSXFyM5ORkhIWFKbeJxWKEhYXh2LFjavcpKipCfn6+yoOYruJSGdYl3jb0MLi9sfwfQw+BkGprx5HGTgh0RxYhhBBCqsvDie/OQt52xPQsO3il2n1sT71nMSmqktIfgTPJQ4Us6YYoqYxhW+q9avczZUv1AjGEEGIJdqbexYFLwq52HPlyw2rXPjP6IMrDhw8hlUrh6empst3T0xOZmZlq94mNjYWzs7Py4ePjo4+hEh3RNu+ooVzKfGoxJ5PEPPVdchjZnGnsqovuyCKEEEJIdZ3IeMTX0DLmxy2OVMZw6kZutfsplTEkXef8LJm4nxOFSY9iKat3Eq89FOTwsf2M5QTqCCFEG1IZwycbUwXtUywCxvVoWv1+BBiL0YmJiUFeXp7ycfu26axiIKqqm3fUUOjuemKq/kq5g/P3C/T6mpZy8UWIKZo3bx5EIhHGjx+v3FZYWIioqCi4urqiRo0aGDRoELKyslT2u3XrFvr27QsHBwd4eHhg0qRJKC0tVWlz+PBhhISEwNbWFo0bN8batWvLvX5cXBwaNGgAOzs7dOjQASdOUO0xQogqqYxhXeJNrrYPC6gmijlKSn+kVUF5ddYdEy73urGSyhj2XxKmvqylrN7ZknJHkH6kMlhMoI4QQrSxJOGyYN/pCtHdGld7FQpgAkEUNzc3WFlZlbs4z8rKgpeXl9p9bG1t4eTkpPIgpsnUVqEo0N31xBRJZQwT/tD/EvOtKXfxvFiKuENX0PHLvfCbsgt+U3bBf9oe9FlyBAcvPrCIizNCjM3Jkyfx/fffo3Xr1irbJ0yYgB07duCPP/7A33//jXv37mHgwIHK56VSKfr27Yvi4mIkJiZi3bp1WLt2LaZPn65sk5GRgb59+6J79+5ITU3F+PHjMWLECOzdu1fZZtOmTZg4cSJmzJiBlJQUBAYGIjw8HA8eCDPxQwgxDycycpD7vISrbXULihLjlHhduJQfBy9lm/15Z1L6I0gFulS1lNU7xwT8jB29RucxhBCijlTGsOxQ9ep1vchKLMwqFMAEgigSiQRt2rTBgQMHlNtkMhkOHDiA0NBQA46M6JqprkJRoNUoxNQIUZBTGwxA8+nxmL/3KjKflIL9/7bCUhku3H+CD9edRJPPdyM+7b7+B0eIhXr69Cnee+89/Pjjj6hVq5Zye15eHn766ScsXLgQr7zyCtq0aYM1a9YgMTERSUny7719+/bhwoUL2LBhA4KCgtC7d2/MmTMHcXFxKC6WpwpcuXIl/Pz8sGDBAjRv3hzR0dEYPHgwFi1apHythQsXYuTIkYiMjERAQABWrlwJBwcHrF69Wr8/DEKIUcvML+Rq52JvU+2CosQ4ncjIEawvSwgKrD92Q9D+/r2u+zqKhlRcKkPWE+FSHR/SQ91JQggxRUsSLgueeXXx28GCrEIBTCCIAgATJ07Ejz/+iHXr1uHixYsYM2YMCgoKEBkZaeihkWp4WliKyJ+OoemUXWgwZReafL4LXb85iP0XsiCVMUzZbNpF1xSrUZ4XSzFp82m0mr4bDabsQqOYXQievQ9TtpzF82KpoYdJiNLSA9UvyFmWjYDfMDIAozekUCCFED2JiopC3759ERYWprI9OTkZJSUlKtv9/f1Rv359HDt2DABw7NgxtGrVSqWeXXh4OPLz83H+/Hllmxf7Dg8PV/ZRXFyM5ORklTZisRhhYWHKNoQQAgA5T/lSdIU19xDsIpoYD6mM4fRNYW+8M+eggFTGcOBiVtUNNXBSwCCWMVqXeEPQ/q5lPzX71U6EEKIpqYxhxd/CrkIJa+6BfoHegvVnLVhPOvT2228jOzsb06dPR2ZmJoKCghAfH1+u2DwxHa8tO4q0u/kq20pkwM2c5xjx8ym9jGHJkCCs/Tcdp2/nV91YS+3m7kNeoWqgRMqAx89KsPHkbWw8eRuv+rvhp2EddDYGQnhIZQwnb+YK2ufqYe3xwWph6xd8/EsKrn7ZhyZBCNGhzZs3IyUlBSdPniz3XGZmJiQSCVxcXFS2e3p6IjMzU9nmxXM0xb+rapOfn4/nz5/j8ePHkEqlattcunSpwrEXFRWhqOi/CdX8fN19xxNCjIOLg4SrXWgjNx2PhBhCUvojlAo8H3338XNhOzQiSemPUCJw1ukzd/IglTGzPT/fcfauoP0p6qK81ISOSYQQoiD091NYc3esimgnXIcwkZUoABAdHY2bN2+iqKgIx48fR4cONOlsqlrP3FsugKJvLb2dMCCoLjaPeVmnr/NiAEWdA5ceouv8gzodByFVSbwmXJ5fAFj2TjA6NXYTdDUKAMgYEP1LsrCdEkJUTJkyBb/88gvs7EyvdkBsbCycnZ2VDx8fH0MPiRCiY7nP+NLs8LYjpkWTeih1atpytbuXa75BFE1+Xn5uDlztiqXmmwJNKmM4zzl3oUkIyZxXOxFCiDbmx18UrK/vhgRhVUR7wfpTMJkgCjEPfRYfQn5hqaB91rTV7GPsKLHCzk86AwCsxCIsfzdYo/3trDRqzuXmo+eYveO88B0TwmnZQeFSefUIkC+ZtBKLMKZrI8H6VdhzPgvFpQLfQkcIUcrOzkZISAisra1hbW2Nv//+G0uXLoW1tTU8PT1RXFyM3NxclX2ysrLg5eUFAPDy8kJWVla55xXPVdbGyckJ9vb2cHNzg5WVldo2ij7UiYmJQV5envJx+/ZtrX4GhBDTwbsShbcdMS289VAkViK0b+jK1VaxssIcaVI/5p229bnbmmtQICn9EXfNyLDm7twTbOaeAo0QQjRRXCpD6h3+m+0/6d4YaTPD0b1JbThYi2BnLUZAnZpYHdEO17/qg9eC6upknBREIXrzV8odXMh8Jni/y99ti9b1nLjaSsTA+dm9VLb1ae2NUV38uPe/9GVfdGhQq+rGGlr97w2aGCYGIZUxnBIoldfIzg3w49D/lkyO69FMo7uyeH3wU5IOeiWEAPJ6JampqcpH27Zt8d577yn/38bGBgcOHFC2v3z5Mm7duoXQ0FAAQGhoKM6dO4cHDx4o2yQkJMDJyQkBAQHKNmX7ULRR9CGRSNCmTRuVNjKZDAcOHFC2UcfW1hZOTk4qD0KIeaOVKJZLk3oogfWcUa+2PVdbc11ZIZUxnL2Ty9VWYiXCsJf9YM15Im+uQQFNVu4M69QQbTjnCcw5UEcIIRXJe1aCgXH/IGTOPnSff0irmtgiAON6NEUNO2usGR6KC3P74NLc3tg9rgte0XH9OwqiEL2QyhjG/S58oXhrMdCpiRv+iu6M4S9XHggJ8HLAla/6qn0upk8Alr8bUulkb9n914/oqO2QK0UTw8QQktIfgfcc3s/VDpPCm8CrpjWsANiIRajrYofJ4c1wZW5vTO3bQqW9lViEsd2FX41yPOMxBR0J0ZGAgAC0bNlS+XB0dISrqytatmwJZ2dnDB8+HBMnTsShQ4eQnJyMyMhIhIaGomNH+Xdjz549ERAQgA8++ABnzpzB3r17MW3aNERFRcHWVp5KZfTo0UhPT8fkyZNx6dIlLF++HL///jsmTJigHMfEiRPx448/Yt26dbh48SLGjBmDgoICREZGGuTnQggxTnce892kVduRVqKYG03qobTzq41OGtTFMceVFScyclDE+QPr7u8BibUYwb6WHRTQZKVTx0auaO9Xm6u9uQbqCCFEneJSGQJn7UXg7H1IuZ2HnIISZDx6hhE/n0Kjz3dja+o97r4GhtQ1WA0ukygsT0zfkoTL0MUp1cddGyv/eL54LQCf9fLHj0evYX1iBh4VlEJibYX2frWx7J0Q1LCr/OPep3UdXGvZB4fPZ2HGznPIfFIMa7EIHRu64rt326jsL7EWo0ODWjh+g+/OJ16KiWGJNcU3if5ocofV7P6t0bmZO6K6N+XeZ1yPZvju0HUIHfKI2XoWC94KErhXQkhVFi1aBLFYjEGDBqGoqAjh4eFYvny58nkrKyvs3LkTY8aMQWhoKBwdHREREYHZs2cr2/j5+WHXrl2YMGEClixZgnr16mHVqlUIDw9Xtnn77beRnZ2N6dOnIzMzE0FBQYiPjy9XbJ4QYrmkMobtZ/guvL2c+VYhENOhyTnsS43c0bGhK6xF4Aq8mOPKisz8Qu62Qzs2AAC096uNkxzXvIqggDkVS9dk5U5gPWdYiUXo1MgNcYeuc+3z7/Vss/p5EUKIOl/uuoAfj2YI1l/swNaC9aUpCqIQnZPKGOIO851IaEIski/hKktiLUZU96YaTfCWZSUW4dVWXni1VcX51hXWj+iIptP2aPU6lfngpyRsGtVJ8H4Jqcjdx3zFMxUrvzRlJRZh6ZAgRG9M1XjfymxPvYdvBgca7C4EQizF4cOHVf5tZ2eHuLg4xMXFVbiPr68vdu/eXWm/3bp1w+nTpyttEx0djejoaO6xEkIsy4mMHOQUlFTZztVRwn2HODEdmq4SsBKLEOxbiysooFhZYU7nmQ+fFHG1s7cRo2Mjef0YSw4KaLJyp93/H180CdTxXoMRQoipGvnzSSRceFB1Q06N3B0MetM53e5OdC7x2kPuYmyaWPR2kEFPaiXWYvRq6SF4v5SmiOgbY3x/oME+Llr/zb0WVBdhzd212rcipTJaBk8IIYRYMt476/sHeZvVZDjRvB6K4vdvyemWTt3gez9dmrorf16KoAAPcwsKaLJy56VG8uscRaCOx/08/v4JIcTU7Ey9K2gABQBmvtZS0P40RUEUonOzdpwXvE8/VwcMCKoreL+ainu3rU76jdl6Vif9EqJO3Vp86S3aVfMOzlUR7RHWXNjA47pjwi0LJYQQQohpyXnKd2d9PRdK5WVuNK2HomCpdVGkMoaDl/gms+xtrJT/b8lBAW1W7gD8gbqzZlpHhhBCpDKGTwTORKJtZhQhURCF6FRxqQzXsgsE73f/p90E71MbVmIRvhsSJHi/21Pv0QkV0RvFnVNCtavMqoh2WPZOcIVfPvVrSbD+w/bc/R289ID+VgghhBAL5eLAVyyetx0xHZrWQ1Ho2NAVNpyzIPdyzScokJT+CCWcyQ68XexU/m2pQQFtVu4A/IG6wlKZ2a12IoQQQF4XW+j8OmVrYhsKBVGITsVsPSN4nyvfDzH4H05ZrwXVRY8AYe+upzRFRJ86NnKFi4NNpW1cHGxU7rCqjn6B3rj6VR+s+aAtWno7waeWPcKaeyBtZjiOfNYDnRq7cX85lcqApOuPIJUxHDqfhb5LjqDd3AS8tvQoDl6kAAshhBBiznKfFQvajpgO3tRRinooClZiEV7x57t2e14i1WpsxuiYBteWL944ZYlBAamM4e+rfIG6sit3AHmgTmLFN19hTqudCCEEkB8/l3HW0uJlJS5fE9sQKIhCdEYqY9h++h53+/AAz0o/kGLIAyi9Wtap9tiE9uPQdhjZ2a/SNs097RFUz4m7z6PXhM0dSEhFrMQizBvYqtI28wa2EjR4aSUWoXsLT+z8pDOOfvYKVkW0Qw07a+VzbRu4cPcVs/UMmny+G5HrT+H8/SfIflqMtHv5+HDdSTT6fDd2pt4VbNyEEEIIMR60EsVyPS8u5WrX3d+j3Dls2wZ8NwYduZJtNjfkMPC9DztrcbkbpywxKHAiIweFnEt3Xly5YyUWIbCeM9e+5lZHhhBCliRc5vzG4bf47WCjuJmegihEZzTJUysCsPz9Nsq70/09HGArlp/EBdSpidUR7XD1qz5GGUBRmNo3AFfm9sak8CbwqmkNGzHgKLFC92buSJsZjj0TXsGkXs25+/sr9b4OR0uIql4t62Dl+yHwcrJV2e7lZGuQ4OXYV/jvMrj1uLDSpaLRG1MxYt2J6g+KEEIIIUaFVqJYJqmM4fAVvsn6tmrqebjVtFXTsrznJeazssLJrvJV5wp9WtUpN1FlJRYhyMeFa39zSYGmTVH5surWcuDa19zqyBBCLJtUxhB3WNhVKK/6e6BfoLegfWrL2tADIOZrfvxF7rY9Av67Q6h7C090b+Gpq2HplMRajKjuTRHVXf0EcMeGrhADXLkB7+UVorhUBok1xTqJfvRqWQc9ArxwIiMHD54UwqOmHdr71TZIxF+R0kuoPJr7L2ZjxLqTWBXRTqAeCSGEEGJotBLFMiWlP0IR5916bjXKB0y8nOzUtFTvWPpDvGTgQrZCyH3OF0j0dFYfYGrToBZO3Hhc5f7mkgJN26LyCnVr2XPtr6gjYwx3WBNCSHUlXnsIqYDLUFrVrYmfhhnPHA7NzpJqe14sxWdbUtHxq/0I/Wo/YracRd6zEqTeyefuIyK08lRY5kLTNEUf/JSEvGclGBj3D0Lm7EP3+Yew/0KW2SwrJ8bHSixCaCNXDAiqi9BGrgY7obcSi/BGiLB3G+y/+AA7zvCnGCSEEEKIcTvGWVycVqKYF03qe3g5l5/Mbu9XGw4SvqkQc7nsSuYIgADA/QpWktR24Fu9Yy4p0HKe8QVRXiwqr2CJdWQIIWTWjvOC9TX8ZV/sGNtFsP6EQEEUUi2Ra06g+fR4bDp5F5n5RbifX4TfTt5G4Ox93H1Yi0WCFaw2BZqkKTqe8RiBs/ch5XYecgpKkPHoGUb8fIrqPFiQFStWoHXr1nBycoKTkxNCQ0OxZ88eQw9LL2IHBgre5/hNp83iwo4QQgixdFIZQ8KFLK62tR1pJYo54a3vUcPWCu39apfbbiUWoRdn5oNMM0i3JJUxpN7O5Wr7Yn0PBUtLgcYbdHqxqLyCJdaRIYRYtuJSGa5lF3C3H93FD2+29UZNiQgiADZiEeq62GFyeDNcmdsbX7zWUneD1RKl8yJaazVzL54U8hX0q8yAIG+LWr7aqbEbREC1Cy1Fb0zFn2fuYlVEeyGGRYxUvXr1MG/ePDRp0gSMMaxbtw4DBgzA6dOn0aJFC0MPT6ck1mJ0aFALxzkvYnhIZcCShCuYGN5MsD4JIYQQon8nMnKQx3ktom41AjFdvPU9egZ4VXidWceFr2bFvguZJp9uKSn9EYo586uoq+8BWFYKNCGCToo6Mjwp0MyljgwhxLJ9sCqJu61YBEzq1RxWYhHmDw7W4aiERStRiFZCZsULEkABgNiBrQXpx1RYiUV4I0iYNEWKOg/EfPXr1w99+vRBkyZN0LRpU3z55ZeoUaMGkpL4v6BM2foRHQXvc+WR67QahRBCCDFxvIWfXext1K5G0LcjR46gX79+8Pb2hkgkwp9//lnlPocPH0ZISAhsbW3RuHFjrF27VufjNAWnb/HdYOPlXPHEv/y+16o9LZLiREYOV1tjlciZ9s7OWn19D8CyUqAJEXQC5HVkeJhLHRlNVXVMZIxh+vTpqFOnDuzt7REWFoarV68aZrCEEBSXyhB36Ao6frkXflN2ocGUXWjy+W68NO8Alh64otHNr9HdGpvkzQkURCEam/HXWeQ8F+aLvoNfLYssnD5vsHBpiqjOg+WQSqXYuHEjCgoKEBoaaujh6IViNYqQiqXMLNIMEEIIIZaMt/Dzq809jOJCvaCgAIGBgYiLi+Nqn5GRgb59+6J79+5ITU3F+PHjMWLECOzdu1fHIzVuUhnDoct86Y8q+7WHapBOOjPvOXdbY3T3Md/4W9dzrvBvRZMUaM72fCuFjBVvzZ3Kgk4Afx2ZY9cfWeQNXlUdE7/55hssXboUK1euxPHjx+Ho6Ijw8HAUFtLKHUL0LXb3BTSdtgfz915F5pNSZWadEhnD3dxCLEzgD3CKAIzrwV/mwJhQOi+ikeJSGdYl3hasv/XDhb/L3BQInaZo/KbT6NOqjlFcIBLhnTt3DqGhoSgsLESNGjWwbds2BAQEqG1bVFSEoqL/JhXy8/P1NUydWT+iI5pOE7YOzDd7L2J7k86C9kkIIYQQ/XnMWSzeU4M0RLrUu3dv9O7dm7v9ypUr4efnhwULFgAAmjdvjn/++QeLFi1CeHi4roZp9JLSH6GoVMbVNrRhxSmlOjZ0ha21CEWlVU9eP3zKF7AzVs+L+TJIVLVygjcF2unbwqXiNQTemjvd/NUXlVfgrSOTX1iKExk5GgX2zEFlx0TGGBYvXoxp06ZhwIABAICff/4Znp6e+PPPPzFkyBB9DpUQixa7+wK+P5IhWH9vBJtuSQfLWwJAqkWTHHdV8feqYZGrUBSETFOkqPNAzFOzZs2QmpqK48ePY8yYMYiIiMCFCxfUto2NjYWzs7Py4ePjo+fRCk9iLcbwl30F7fPMnXwUc16AE0IIIcT4iDivv3nbGZtjx44hLCxMZVt4eDiOHTtmoBEZB6FWCViJRejezIOrr9znJVztjJFUxvAvZzqv2g6SSp/nTYF2+FK2Sa+s4K25E+xTedBJkzoypr7aSWgZGRnIzMxUOQY6OzujQ4cOFn8MJESfiktlggZQAGDeIOEy8+ib5c5gE40Vl8oELfC87eOXBevLFEmsxejVku/EnQfVeTBfEokEjRs3Rps2bRAbG4vAwEAsWbJEbduYmBjk5eUpH7dvC7dyzJC+eK0lWtdzErTPmK1nBe2PEEIIIfqTmcs36ehioqmFMjMz4empmj7J09MT+fn5eP5c/XsvKipCfn6+ysPcCLVKAAAautfg6uvag6dc7YzRiYwcPC3iu3HIrUblKyd4V0oUlspMOnUub82dvCqCa+39aqOGLd+Um6mvdhJaZmYmAKg9Biqee5ElHP8I0bfOX+8XtD9TL+lguiMnehez9YxgfXVv5g57iZVg/ZmquHfbCtYX1XmwHDKZTCVlV1m2trZwcnJSeZiLv6I7Y/jLfoL1tz31HgUeCSGEEBMklTHsv/iAq21VE8PmxBxXJL9IqFUCAFCripUXCqZcsyIzn79+hJezfaXPy1Og8U0hHUvnW/1ibISquQPIVzu93LjiwvNlmfJqJ2NhCcc/QvTpr5Q7yHoi7LHJ1Es6UBCFcJHKGLafFqZ4eQ1ba6yJbC9IX6bOSizC8neDBetv3TFhl9kRw4uJicGRI0dw48YNnDt3DjExMTh8+DDee+89Qw/NIL54LQBX5vbGpPAm8KppDWuRPF1DQJ2aWB3RDhdn9+Luq1RGgUdCCCHEFJ3IyEFeIV+dh6omho2Vl5cXsrKyVLZlZWXByckJ9vbq35O5rkguS6hVAoDmNStM0cMnfCscnOys0d6vdqVt5CnQ+IICJhpzEqzmjoIlrHbSBS8vLwBQewxUPPciSzj+EaIvUhnDuN+Fu5EeANo3cDHpVSgAFZYnnJLSH4Gj5l6VJGIgbZblFkJUp09rb4y6kytInsH9Fx9AKmMmW6SJlPfgwQMMHToU9+/fh7OzM1q3bo29e/eiR48ehh6awUisxYjq3hRR3ZuqfT6onhNS7/At31YUmC8ulWHNv+lIuPAAAEPPAC8Me8nP5L/kCSGEEHPEe3e9i71NlRPDxio0NBS7d+9W2ZaQkIDQ0NAK97G1tYWtrfmuvBFylQBgGTUrHj8r5moX2siV6xoyuH4txJ/PqrKds4mm0ROq5o6Cpqud6Dpezs/PD15eXjhw4ACCgoIAAPn5+coaoeqY+/GPEH1aknCZM3kmvw0jKj5/MRUURCFcfk6s/gR/gJcDdo/vLsBozE9MnwAE1quF6N9SqnXXjowBiVcfojPnHULE+P3000+GHoLJmdSrOd5bdZyr7Zk7+Ri17iT2vpAS5NTNXHy15xIiX6qPGf1a6WKYhBBCCNFSDmf9gLDmHkYzKfn06VNcu3ZN+e+MjAykpqaidu3aqF+/PmJiYnD37l38/PPPAIDRo0fju+++w+TJk/Hhhx/i4MGD+P3337Fr1y5DvQWDE3qVQHu/2qhpZ4UnhdIq2+YU8AUjjI2I8+Pf2INvxUR+IV9qF952xkbImjuA5qudeOvOmIOqjonjx4/H3Llz0aRJE/j5+eGLL76At7c3Xn/9dcMNmhALIJUxLDt0XdA+P3ypgVncoGr674DonFTGsP8SX85hAPi0ZxP4ezjAzkoER4kVujdzR9rMcAqgVKFP6zq4+mUfrPmgbbmfX//W3tz9LD14RYejJMT4dWzoCmsN5kteDKCUtebfW+jyzQEBRkUIIYQQobhw3t0d2qjqiXR9OXXqFIKDgxEcLE/lO3HiRAQHB2P69OkAgPv37+PWrVvK9n5+fti1axcSEhIQGBiIBQsWYNWqVQgPt9xV/UKvErASizAwuC5Xn7yfOWOTmcu3gsaFc+UI47zhz1TTUwlZcwewjNVO2qrqmDh58mSMHTsWH330Edq1a4enT58iPj4ednb8P1NCiOaEXoXi62qP6f1aCNij4dBKFFKlpPRHkPLd8ANrsQgfd2uCsa+oT7NDKmclFqF7C090b+Gpsr24VIa/zvLVpEm+lUtLgYlFsxKLMCDYG1tShKnjdCunEP2WHcWOsZ0F6Y8QQggh1cO7KsCYVg9069YNrJIZ6LVr16rd5/Tp0zoclWkRepUAANSr5cDVLqeAb/WTMZHKGHanZXK1davBt2LC3NNTCVlzB7CM1U7aquqYKBKJMHv2bMyePVuPoyLEskllDCv+Fm4Vyqv+bvhpWAfB+jM0WolCqqRJKq8BQd4md6JkCiTWYjR2d+Rqq0jpRYglix0YKGh/5+7mY3vqXUH7JIQQQoh2km/yFfnmrQdBTIPQqwQAIJdzMjyZc3LdmCSlP8LzEr67Ib2c7bnaaZqeypRIZQxHOa+jeac8LGG1EyHEfCSlPwLn1wYAINTXGV41raE4JFqJgFoONhjSzgcXZ/cyqwAKQCtRSBU0TeUVO7C1Dkdj2Wb0a4EPVp/garv04BWqi0IsmsRajA4NauH4DeEueCdsSsVrrSlQTAghhBiSLiY6iWkQepUAAIjA9yE5fCnb5FZW8KY/q2FrjfZ+tbnamnN6qhMZOSgornrFCMBXc0fBnFc7EULMy/z4i9xtxSJgw6iXTOp7sbpoJQqplCapvHxr25tFoSBj1amxG/cfrCKlFyGWbP2IjoL2J2PAkgSqOUQIIYQYkq4mOolx01XwjLeQd2GpDEmcQQljwZv+7OUmrtyTYIr0VDxMLT1VZn4hVzsHiRVXzR0Fc17tRAgxLVIZw6HzWei18BCaTNmFRjG7EDx7H6ZsOYu8ZyVIvZPP3Vd0t8YWFUABKIhCqqBJKq/3O/rqcCTESixC2wYuXG0ppRch8tUojdz40uDx+u7wNQpQEkIIIQakq4lOYtx0FTzr2NAVtpw3Ah5LN63rK12kPzPn9FQPn/CtBOnd0kujiUPe1U7/XH1E1xmEEJ3ZffY+mkzdjcj1p3DpwTOUAJAy4PGzEmw8eRuBs/dx9yUCMK6H5dXCNlgQ5caNGxg+fDj8/Pxgb2+PRo0aYcaMGSguVr1b4ezZs+jcuTPs7Ozg4+ODb775xkAjtjxSGUPCBf5UXhGd/HQ4GgIAY1/hP0jN3Jmmw5EQYhpm9m8haH+0GoUQQggxLF1NdBLjpqvgmZVYhO6caZBNbX5bF+nPAPNNT8VbQ8lTg5RmAP9qp6dFpldHhhBiGmJ3X8DHv6YI9j02MKSuRZ5jGSyIcunSJchkMnz//fc4f/48Fi1ahJUrV+Lzzz9XtsnPz0fPnj3h6+uL5ORkzJ8/HzNnzsQPP/xgqGFblMRrD8FbT4hSeemHJim9rmc/Q3GpBhWhCDFDnRq7wUbgQ9PKI9fpLjFCCCHEQHQ10UmMmy6DZ218+eqB1DKhlRW6rB1krumpRJw/B952Ch0busKe84LE1OrIEEKM3+6z9/D9Ef4sQzwstR62wWa9e/XqhTVr1qBnz55o2LAh+vfvj//973/YunWrss0vv/yC4uJirF69Gi1atMCQIUPwySefYOHChYYatkWZteM8d1tK5aUfmqT0AoCYrWd1NxhCTICVWIQlQ4IF7bNYykwuJzYhhBBiLnQ10UmMmy6DZ7Ud+YIjvO2MgS5rB5lreqrMXL4Ahos9X5o0BSuxCH1aenG1ffjUtFbvEEKMm1TG8PGvpwXts4NfLYu9id6o3nVeXh5q1/7vLpBjx46hS5cukEj+O1kJDw/H5cuX8fixad3VYGqKS2W4ll3A3Z5SeemPJim9tp2+a1InroToQp/W3hjVRdhj1Dd7LwraHyGEEEL46Gqikxg3XQbPcjkDNMeum05NFF3WDjLH9FRSGcPutEyutm41bDXu38vFnqsd7yofQgjhEfXrKcH7XD+8o+B9mgqjCaJcu3YNy5Ytw6hRo5TbMjMz4enpqdJO8e/MzIq/4IqKipCfn6/yIJrpvfhv7raN3B0sNgppCJqk9JIx4J/L2TodDyGmIKZPAJa/G6JxuoKKnLmTT+nyCCGEED3T9UQnMV66DJ7V5vys7E7LNJkb1HI4VzT00SL9mTmmp0pKf4TnJXzn9l7OfAGRshjnx4a3HSGEVKW4VIb4NP461zx6t/C06Plfwd/5lClTIBKJKn1cunRJZZ+7d++iV69eePPNNzFy5MhqjyE2NhbOzs7Kh4+PT7X7NGdSGcOh81notfAQGk/ZhQZTduH6w2fc+898raUOR0deZCUWoUeAB3f7iHUn4TdlF1pMj0fkmhN4Wliqw9ERYrz6tK6Dq1/2wZoP2sLfwwESEWAjFqGuix0mhzfDxdm9OJMTyFG6PEIIIUS/dD3RSYyTVMaw/yLfRJBWqwQ4U4A9K5aaTEpXF876LaGNNEvlBcivR/u2qsPVNqeAb5WPoR3j/L3WsLVGez++Gjpl8dbTyeJcQUQIIVX5YFWSoP2JAHz3XhtB+zQ11kJ3+Omnn2LYsGGVtmnYsKHy/+/du4fu3bujU6dO5QrGe3l5ISsrS2Wb4t9eXhXnlIyJicHEiROV/87Pz6dASgXi0+4j+tcUaHtDtVgEdGqi+YkXqZ6hnfyw9wJ/RJkBKCiW4tDlbLScuRct6jhi17huOhsfIcbKSixC9xae6N7CU+3zA0O8sSXlHldf21Pv4ZvBgQCAxKsPseX0HTwrlqJdg9qI6NTAou/QIIQQQnRB1xOdxDidyMhBHueNYNoEz9r71YajxIqrhsix9Id4yQSuf3mDF9oGOUIbuWFzyt0q2/EGcwyNgW8JyMtNXDVeuQMAbjX5gnsHLj6AVMa0eg1CCFEoLpXh+A1hy2AsfSfY4o9NggdR3N3d4e7uztX27t276N69O9q0aYM1a9ZALFadcAoNDcXUqVNRUlICGxv5styEhAQ0a9YMtWrVqrBfW1tb2NrS8u2qxKfdx+gNKdXq4/Ugb4v/IzKEjg1dYSUCpFou9z1/vwAtp+9B2uzewg6MEBMXOzCQO4hSKmNYsOcSVv6TjrKZHfZdyMKXuy8iopMPZvVvraOREkIIIZZH1xOdxDjx1vdwsbfRKnhmJRahcxM3xJ/PqrKtiWTzQvJNvlokjznrwbwop4AvXRhvO0PjTQPXpn7F81CV4V3tlPu8BCcycrjrzhBCiDpTNp8RtL9X/T3QL9Bb0D5NkcFuk7179y66deuG+vXr49tvv0V2djYyMzNVap28++67kEgkGD58OM6fP49NmzZhyZIlKqtMiHakMlbtAAoAzBsUKMBoiKasxCIMqOYB7GmxDJ2/PijQiAgxDxJrMYLqOXG3X340vcKL6XWJtxEyK16gkRFCCCHEyY5vojPYR7uJTmKceOt7hDX30Dp41saXL/jCm5bJkKQyhqNXH3K11TbWyFsAPfmWsHdC60ptR76bcHnbvai9X2042/Hdw2wqdWQIIcZJKmPYlsp3YyiPVnVr4qdh7QTrz5QZLIiSkJCAa9eu4cCBA6hXrx7q1KmjfCg4Oztj3759yMjIQJs2bfDpp59i+vTp+Oijjww1bLPx6rfVnzzv4FeL0tUY0LzB1Q9g3X78HLN3nBdgNISYj0m9mgvWV85zKVrOoEAKIYQQIoTTnBOyeZwTvMQ06LK+h0JtR77X4G1nSCcycrhSkwFAaEPtfmYizkqC/1x9BKkJLN85dp0v6JSr5codK7EIYc356po+5AwaEkKIOonXHnKu263a8Jd9sWNsF4F6M30GmwEfNmwYGGNqH2W1bt0aR48eRWFhIe7cuYPPPvvMQCM2H3+l3MGNnOoXLFs/vKMAoyHakliL0aslf4H5iqz+9waKtS2KQ4gZ6tjQFdYCZgB5WiTFa0uPCtchIYQQYoGkMoZDl7O52lImL/Oi6/oeAP/kOO9kuyHxpj9zkFiho5Zpo3jTTT0tKsWJDL7UYoYilTEkXKg6lRtQvSCalwtfvR7eVT6EEKLOLA1ulG7k7oArc3vj056NUdvBChIrEdwcbfC/nk1xZW5vfPFaSx2O1PQIXhOFGDepjOFTAXLjRVLRZKMQ925bNPp8d7X7WfNvOkZ1bSzAiAgxfVZiEQYE8xeY55F2Lx/bU+9iQFBdwfokhBBCLElS+iMUcd74o+3d9cQ48dbt0La+BwDUrsGXpmm/CRT+5k1/1qell9bvo2NDV9jbiPG8pOq/SWNPT3UiIwd5haVcbb2c+QIh6jDOW8N52xFCLNfTwlJ88uspJN/Kg5VYhJ4tvDCjXwtYiUW4ll3A3c/M11pCYi3G2FeaYewrzXQ4YvNAs+AWJin9ETjOcyrlVkOCGf1bCDMgUi1WYhFWvh9S7X5W/5MhwGgIMR+xA4Wv9zRhU6pJpDMghBBCjNGx64+42tlZi7W+u54YJxHnPD9vO3U0LfxtzPSR/sxKLELfVnWqbojqrRDSB96VOy72Nmjvx1c7Rx3eejpZnOMhhFgeqYyh2/xDaDlzLw5eeYS8wlLkPCvBxpO30Xx6PJpN28Pdl7UY6NSEbjrRBAVRLMzPidWbLHd1sMapaT0EGg0RQq+WdaodSMl6UkwpvQgpQ2ItRocGwhallTFgScIVQfskhBBCLAXjzPDdzd/dqFcJEM1l5vKtZHCxt9H6Ncyp8DdvajJt63so8AZheIM6hvLwCd/KnVebe1Tr2OJWk2+104H/X+1ECCFlxafdR6PPd+PGo2cVttHkyPFx18Z0vqQhCqJYEKmMYf+lB1rvH9HJB8nTwwUcERFKr5Z1cP2rPgiq56x1H+uqGWAjxNysHyF83aeVR67TRRExeqtWrULr1q3h5OQEJycnhIaGYs+e/+5qKiwsRFRUFFxdXVGjRg0MGjQIWVmqucRv3bqFvn37wsHBAR4eHpg0aRJKS1VTZRw+fBghISGwtbVF48aNsXbt2nJjiYuLQ4MGDWBnZ4cOHTrgxIkTOnnPhBDjdz+34kmDsoJ9hL0JghiWVMaw/yLfNawbZ0oudcyp8Ddv0KK6wQ19BWt0jTcNnCfnaqWKmNNqJ0KIfsWn3cfoDSmC9ScCMK5HU8H6sxQURLEgSemPINVgsYGNWIS6LnaYHN4MV+b2xqz+rXU3OFJtVmIR/ox+GRdn98Kbbb1RU6JZRHlD0k0djYwQ0ySxFiPypfqC9lksZUjiTEdCiKHUrVsX8+bNQ3JyMk6dOoVXXnkFAwYMwPnz8iKFEyZMwI4dO/DHH3/g77//xr179zBw4EDl/lKpFH379kVxcTESExOxbt06rF27FtOnT1e2ycjIQN++fdG9e3ekpqZi/PjxGDFiBPbu3atss2nTJkycOBEzZsxASkoKAgMDER4ejgcPtL8hhBBimqQyhvjzfIWf86gos1nRV70KwHwKfx+7/pCrXXWDG/oK1uiaPtLFAea12okQoj9SGRM0gAIAbwR70yoULVAQxYL8e5XvZAoABoXUxdWv+uDfKa/i4+6NqYi8CbGXWGH+4GCcm90H17/qw73fzZznlNKLkBfM6NcKdZ21Tw2hzrpjtOqLGLfevXujT58+aNKkCZo2bYovv/wSNWrUQFJSEvLy8vDTTz9h4cKFeOWVV9CmTRusWbMGiYmJSEpKAgDs27cPFy5cwIYNGxAUFITevXtjzpw5iIuLQ3GxfMJm5cqV8PPzw4IFC9C8eXNER0dj8ODBWLRokXIcCxcuxMiRIxEZGYmAgACsXLkSDg4OWL16tUF+LoQQwzmRkYNnxXznqTQnYF70Va8CMI/C31IZQ8IFvoBjbUf9rEThDeoYCm8auOqkiwPkNz32CPDkamvsdWQIIfozeMU/gvc5b5DwNWAtAc2MW5CDlzK528YOpFUn5sBKLEJ4AN+ydIBSehmj2NhYtGvXDjVr1oSHhwdef/11XL582dDDsij/xvRETc67xngcvER5jonpkEql2LhxIwoKChAaGork5GSUlJQgLCxM2cbf3x/169fHsWPHAADHjh1Dq1at4On530RBeHg48vPzlatZjh07ptKHoo2ij+LiYiQnJ6u0EYvFCAsLU7YhhFgO3ol0AAhtSEVSzUkOZ+qssGrWqwDMo/C3Plfu1OZMn7bfyGt81Hbkex+87SpjLnVkCCH6sTP1Lk7fzhe0z94tPOlGeS3RT81CSGUMl7MKuNp61pTQH5QZGdrJj7vtjjP3dDgSoo2///4bUVFRSEpKQkJCAkpKStCzZ08UFPD9PRNhnJsZjpZ1nQTpq1QGSulFjN65c+dQo0YN2NraYvTo0di2bRsCAgKQmZkJiUQCFxcXlfaenp7IzJTfrJGZmakSQFE8r3iusjb5+fl4/vw5Hj58CKlUqraNog91ioqKkJ+fr/IghJg+3sLP9jZidGzkquPREH3inUzmnZyujDkU/tbnyh1zqfGhr/RnmvRh7HVkCCG6J5UxfPrHGcH7/e69NoL3aSloptxCJKU/Au9pXseGdOFhTjo2dIUV51/6hftPjPaCwFLFx8dj2LBhaNGiBQIDA7F27VrcunULycnJhh6axdk5tjPSZoajW+NasIH8C7SmrRXealsPF2f3QvsGLtx9UUovYuyaNWuG1NRUHD9+HGPGjEFERAQuXLhg6GFVKTY2Fs7OzsqHj4+PoYdECBFAzjO+IEqXpu6U49vM6HPS2RyCArwBx1cFWLljDjU+9Jn+DDCfOjKEEN1LSn+EIqmw83NLhgTReVI1CJefhBi19cducLcdHEITDubESixCmL8H9l6ouhBvqUxe9PqlJpQGwVjl5eUBAGrXVn/nWFFREYqK/rt4oruwhVXDzhprR3RS+9zYV5rig9UnuPpJuCC/g5FOYIixkkgkaNy4MQCgTZs2OHnyJJYsWYK3334bxcXFyM3NVVmNkpWVBS8vLwCAl5cXTpxQ/VvIyspSPqf4r2Jb2TZOTk6wt7eHlZUVrKys1LZR9KFOTEwMJk6cqPx3fn4+BVIIMQPJNx5ztbO3sdLxSIi+6XPSWREU4EmHZaxBgcecwSRPzoBRZazEIoQ198CW01VnM3jImZZN3/SZ/gyglSiEEH7z4y8K2l/Luk4YEFRX0D4tDa1EsQBSGcOBi3x3V1iLgU40gW52NEnpRXfIGy+ZTIbx48fjpZdeQsuWLdW2obuwDadTYzfuL1UG+UnRpM2n0Wr6bjSYsgt+U3bBf9oe9FlyBAeNOE0EsUwymQxFRUVo06YNbGxscODAAeVzly9fxq1btxAaGgoACA0Nxblz5/DgwX/B+4SEBDg5OSEgIEDZpmwfijaKPiQSCdq0aaPSRiaT4cCBA8o26tja2sLJyUnlQQgxbVIZQ+rtXK623i7VnxgmxkWfqZbMofC3iPP+HN52VfFy4Qss5D4vEeYFBabP9GcArUQhhPApLpUh9Y5wN8S6Odpg59jOgvVnqSiIYgGS0h+hRMbXNtjHhe6MNkMdG7rCivPXevBSNk3eGqmoqCikpaVh48aNFbaJiYlBXl6e8nH79m09jtCyWYlFeCPEm7v9yiMZ+OPUPTwplv+9MQCFpTJcuP8EH647iaZTdyM+7b6ORktIxWbOnIkjR47gxo0bOHfuHGJiYnD48GG89957cHZ2xvDhwzFx4kQcOnQIycnJiIyMRGhoKDp27AgA6NmzJwICAvDBBx/gzJkz2Lt3L6ZNm4aoqCjY2srzzY8ePRrp6emYPHkyLl26hOXLl+P333/HhAkTlOOYOHEifvzxR6xbtw4XL17EmDFjUFBQgMjISIP8XAghhpGU/gjFnOksXmrkruPRVE9cXBwaNGgAOzs7dOjQodyqvbLWrl0LkUik8rCzs6wgkb5TLQGmX/g7M5dvhYyLvY0gr8c4Lxt52+lbDucKmTAB0p8B/ME+3uAhIcQ8fbAqSbC+XmnmilNf9BSsP0tG6bwsQKIGX8DtBLi7ghgfK7EILeo64SxHJJtSehmn6Oho7Ny5E0eOHEG9evUqbGdra6ucpCT6FzswEFtSqk5pwEPKgNEbUrDy/RD0allHkD4J4ZGdnY2hQ4fi/v37cHZ2RuvWrbF371706NEDALBo0SKIxWIMGjQIRUVFCA8Px/Lly5X7W1lZYefOnRgzZgxCQ0Ph6OiIiIgIzJ49W9nGz88Pu3btwoQJE7BkyRLUq1cPq1atQnh4uLLN22+/jezsbEyfPh2ZmZkICgpCfHx8uWLzhBDzxnstY2dt3EXlN23ahIkTJ2LlypXo0KEDFi9ejPDwcFy+fBkeHh5q93FycsLly5eV/xYJtXzAROg71RJg2umWpDKG/RerTuEMAG41hLleqMUZTMriXPGhb7zBMN7gWlVqc/7c91+k1L+EWKriUhmOc6YxBYD2vi7o6u+O9YkZePCkFCIR4GRvg/AWXpjRrwXsJZTqVCgURLEAmhS9M/a7t4j2+rWuyxVEAYB/r2dTEMVIMMYwduxYbNu2DYcPH4afH39qNqJ/EmsxGrs74lp2gWB9Rv96GpfnetFFFNGbuLi4StNg2dnZIS4uDnFxcRW28fX1xe7duyt9nW7duuH06dOVtomOjkZ0dHTlAyaEmDXea5nW9ZyN+rty4cKFGDlypHI13cqVK7Fr1y6sXr0aU6ZMUbuPSCSqtA6UudN3qiXAtNMtGSLo5FaTLyhwwEiDAvoOmnlx1qLJfV6CExk5CDXiwDAhRDembD6jUfsNI0MhsRYjqntTHY2IKFA6LzMnlTGcvskXwZRYiYz67i1SPRGdGnC3PalB4I3oVlRUFDZs2IBff/0VNWvWRGZmJjIzM/H8uXEWsyTAjH4tBO2vVMYw9tcUQfskhBBCTIFUxnD2Ti5X2zrOxpvqqri4GMnJyQgLC1NuE4vFCAsLw7Fjxyrc7+nTp/D19YWPjw8GDBiA8+fP62O4RkPfqZYA016JYoigk6ZBAWOj76BZe7/acLbju5c5M4+u9wgxR1IZw4FzmXg5NgENpuxCgym70ChmF4Jn78PkzWewNZU/s0UHv1qQWNPUvr7QT9rMJaU/Qiln/tHu/sKdfBLjI7EWo5G7A1fb07dzqS6KkVixYgXy8vLQrVs31KlTR/nYtGmToYdGKtCpsRt3DSJeu9MyUVzKWdyKEEIIMRMnMnJQxHkxU7eWMHfW68LDhw8hlUrLpSP09PREZmam2n2aNWuG1atXY/v27diwYQNkMhk6deqEO3fuVPg6RUVFyM/PV3mYMn2nWtLkNY1xJYohgk6mHhTgrT0iVNDMSixCjwC+tKQ5BcYXqCOEVE982n00mbobw39Jxp28//7GpQx4/KwEv5+q+DtenfXDOwo9RFIJCqKYuZ8TM7jbDu3YQHcDIUaBt65CqQxIvErF7IwBY0ztY9iwYYYeGqmAlViEqG6NBO93yhbNlvUSQgghpo73znrA/NISh4aGYujQoQgKCkLXrl2xdetWuLu74/vvv69wn9jYWDg7OysfPj4+ehyx8AyxKsSUC38bIuhkykEBqYwh4UIWV9vajsIFzXh//sYYqCOEaC8+7T5Gb0iBUPcr0yoU/aOfthmTnxTwFZazFlMqL0vQSYMT5pk703Q4EkLM27gezSD0ur5tp+/RCjFCCCEW5eETvjvr7W2Mu6i8m5sbrKyskJWlOmGblZXFXfPExsYGwcHBuHbtWoVtYmJikJeXp3zcvn27WuM2NEOsCtG08LcxMVQqMlMNChiihgxg2injCCHakcoYRm8QNkU3rULRPwqimLHEaw/Bm/wloE5NSuVlATo2dAXvr/l69jNKH0SIlqzEIix5K1DQPhmAJQlXBO2TEEIIMWanbjziatelqbtRX8tIJBK0adMGBw4cUG6TyWQ4cOAAQkNDufqQSqU4d+4c6tSpeGW5ra0tnJycVB6mTN+plgDTrvFhqFRkphoUMEQNGcC0U8YRQrTz6rcHBe3P29mOVqEYAP3EzdisHfyFB/sFeutwJMRYWIlFaOvrwt0+ZutZ3Q2GEDPXP6QeWtRxFLTPlUeuG91dj4QQQoguSGUMBy/xraq3t7HS8Wiqb+LEifjxxx+xbt06XLx4EWPGjEFBQQEiIyMBAEOHDkVMTIyy/ezZs7Fv3z6kp6cjJSUF77//Pm7evIkRI0YY6i3olaFSLZlyjQ9DBJ0A0w0KGKKGDGDaKeMIIZr7K+UObuTwpyflEft6K0H7I3woiGKmiktluJZdwN0+opOfDkdDjMnYV5pyt92ScpcmbAmphl3jusG9hnAXjMVShqTrfHflEkIIIaYsKf0RSjgXRXu78K0eMKS3334b3377LaZPn46goCCkpqYiPj5eWWz+1q1buH//vrL948ePMXLkSDRv3hx9+vRBfn4+EhMTERAQYKi3oFeGSrVkqjU+DBV0Akw3KGCIGjKAaaeMI4RoRipjGPe7sLVNxSLg5WbmVQfOVFAQxUx1nrefu20jdwdaBmZBOjV20+gPP2rDKZ2NhRBLcHJaD7ziL9xJzrpjGYL1RQghhBirRA0mXE2lqHx0dDRu3ryJoqIiHD9+HB06dFA+d/jwYaxdu1b570WLFinbZmZmYteuXQgODjbAqA3DUKmWANOs8WGooBNgukEBQ6UhM+WUcYQQzSxJuAyhj3qL3g4y6hSm5oxmzs2IVMZw6HwWGkzZhaynJdz7zXytpQ5HRYyN/O4qD+728RceoM3svXjKeVJOCClv9bD2uDi7F95s642aEhHEAOysxQioUxOrI9phXWQ77r4SLhjXBSghhBCiC3cf86VKkliJjLqoPNGOoVItAaZZ48OQQSdTDQoYKg2ZKaeMI4Twk8oYVvx9XdA+W3o7YUBQXUH7JPz4jtzE6O0+ex/Rv6VA03k1sQjo1ETY5anE+A3t5Ie9F/hyTAPAo2elaDlzLwK8HLB7fHcdjowQ82UvscL8wcGYP7j8XaRSGYMYAE/WEkWB+YnhzYQeIiGEEGI07jx+xtUusJ4z3ZFphgyVakmT1zamlSiGDDopggI8K2GMKShgqBoyipRxm1PuVtnWmFLGEUI0o0laUh41ba2w85POwnVINEYrUcxA7O4L+PhXzQMoAPB6kDdddFigjg1dYaPFX/+FzGdoNnWX8AMixMJZiUV4I8Sbu33c4Ws4kJaJXgsPodGUXWgwZReafL4LXb85iP0XsmilCiGEEJMmlTGk3srlauvtImxqImIcDLkaxBRrfBgy6GSKdWQMWUMGMM2UcYQQzcyPvyhYXy3qOOLcrF6C9Ue0Q0EUE7f77D18f0T7/PjzBgUKOBpiKqzEIozp2kirfYukQMjsfQKPiBASO5D/eCxlwPANybj04Bmk/7+tRAbczHmOET+fQqPPdyM+7X6lfRBCCCHGKin9EUo57weoW4uCKObIkKtBTLHGh6FTkJlaUMCQNWQAw/++CCG6VVwqQ+qdfO72/Vt6wN/DQZkuSgzAUWKF7s3ckTYzHLvGddPFMImGKJ2XCZPKGKJ+Pa31/h38alFBeQs2rkczLDt0XasiVznPShC55gTWRLYXfFyEWCqJtRiN3R1xLbtAkP5Gb0jByvdD0KtlHUH6I4QQQvTFHIvKE80YKtUSoHmNj1AjqMlj6BRkphYUMGQNGcDwvy9CiG59sCqJu60IwKJ321KWIBNAM+gmbOyvyVpNgCusH95RsLEQ02MlFmHJW9qvRDp0ORs7ztwTcESEkBn9Wgja38e/pBjNHZKEEEIIL97i01RU3jwZOtWSKRb+NmTQCTC9oIAha8gAppkyTt9mzpwJkUik8vD39zf0sAgBIP+eOnQ+C70WHkLjKbvQcMoutJgej8g1J5DztBjHbzzm7mtgSF0KoJgICqKYqOJSGXan8Z1YqjP8ZT9ahULQP6QeArwctN5/0uYzNEFLiIA6NXaDkKdPMgZE/5IsYI+EEEKIbkllDKdv8k0+UFF582ToVEumVuPD0EEnwPRWohiyhgxgminjDKFFixa4f/++8vHPP/8YekiEYPfZ+2gydTci15/CpQfPUApABqCgWIpDl7MRMjdBo/5iB7bWyTiJ8GgW3UTFbD2j9b6t6znhi9cCBBwNMWW7x3dHDYl2h4LCEhmSrj8SeESEWC4rsQhvBPEXmOex53wWiktlgvZJCCGE6Iom9VDa6SDNDjE8Q6daAkyrxoehg04Af1DgTq5xrNwxdNBH05Rxlsra2hpeXl7Kh5ubboJahPCK3X0BH/+aAqFim1RmwbTQb8oESWUM209rl0Zp+Mu++Cu6s8AjIqYubXZvuNbQ7gJg3bEMgUdDiGWbN1j7NHsV+eAn/pyshBBCiCFRPRRi6FRLgOEn2TVhDEEn3qDAX6n3jGJlhaHTj5liyjhDuHr1Kry9vdGwYUO89957uHXrlqGHRCzY7rP38P0RYee/qMyCaTGKIEpRURGCgoIgEomQmpqq8tzZs2fRuXNn2NnZwcfHB998841hBmlENLk7S8HJTowrc3vji9da6mZQxOQlT+uByE4NNN7P0pcYEyI0ibUYHRrUErTP4xmPaTUKIYQQk0D1UIihUy1pMgZjWIliDEGn9n61UdvRpsp2jwqKjWJlhaFryJhayjhD6NChA9auXYv4+HisWLECGRkZ6Ny5M548eaK2fVFREfLz81UehAhFKmP4+NfTgvZJq1BMj1H8tiZPngxv7/LpS/Lz89GzZ0/4+voiOTkZ8+fPx8yZM/HDDz8YYJTG4+dEzSKfKdN64OzM3vTHSao0o38LXJnbGxN6NOLeR8aAxKuWW/COEF1YP0L4O1KmbNE+DSQhhBCiD1QPhQDGsQrElAp/89Y5eamx7oJOVmIRBgTypaQ19MoKY6ghA5hWyjhD6N27N9588020bt0a4eHh2L17N3Jzc/H777+rbR8bGwtnZ2flw8fHR88jJuYs6tdTgvdJq1BMj8Fn1ffs2YN9+/bh22+/LffcL7/8guLiYqxevRotWrTAkCFD8Mknn2DhwoUGGKlxkMoY9l96wN1+/KtNUFvLNE3EMkmsxRj3qj86+vHfCb/04BUdjogQyyOxFiPypfqC9rnttHGkTyCEEEIqQvVQCGAcq0BMqfC3B2cqLd522qpXy4GrnaFXVhhDDRnAOIKFpsTFxQVNmzbFtWvX1D4fExODvLw85eP27dt6HiExV8WlMsSn8c/D8qBVKKbJoL+xrKwsjBw5EuvXr4eDQ/kv3GPHjqFLly6QSP47OQoPD8fly5fx+DHfHUrmJin9EaScGVnEImDsq010OyBitn7WICqecjvX4BcPhJibGf1awddVuAs3BmBJAgU8CSGEGC+qh0IAw6daAkys8DfvZZiOL9eMIfjFwxhqyACm8/MyFk+fPsX169dRp04dtc/b2trCyclJ5UGIEKZsFj6jA61CMU0GC6IwxjBs2DCMHj0abdu2VdsmMzMTnp6qeSIV/87MzKywb3POhajJhcUbwXVpiTvRmsRajMbujlxtpTIg6fojHY+IEMvz96RX8Kq/h2D9rTxynQKehBBCjFZ82n2udlQPxXwZS6olUyr8/YCzJgpvO22ZysoKY6ghA5hWyjhD+N///oe///4bN27cQGJiIt544w1YWVnhnXfeMfTQiAWRyhi2pd4TtM8PX2pAq1BMlOC/tSlTpkAkElX6uHTpEpYtW4YnT54gJiZG6CGYdS5E3gsLAIgd2FqHIyGWYEa/Ftxtf066obuBEGLBfhrWDhdn98Kbbb1RUyKCCICNWIS6LnaYHN4MaTPDufsqljIKeBJCCDFKxaUyXM9+xtWW6qGYL2NJtWRKhb95gwK87bRlKisreF+ft2aJtkwpZZwh3LlzB++88w6aNWuGt956C66urkhKSoK7O61CJPqTeO2hoIv4fGrbY7oG82zEuPDdWqGBTz/9FMOGDau0TcOGDXHw4EEcO3YMtraqXxxt27bFe++9h3Xr1sHLywtZWap3oSj+7eXlVWH/MTExmDhxovLf+fn5ZhFI0eTCopG7A0U2SbV1auwGMQCeDHKHLslP7uiClhDh2UusMH9wMOYPDlb7fGN3R1zLLuDqa92xDLzURLcXhYQQQoim1iXe4G5L9VDMl7GkWgLkk+ibU+5WPRYTCQroepyarKwY1KaeTsdSGWNZMaNpyrhQC1t9t3HjRkMPgRDM2nFesL5cHaxxdPIrgvVH9E/wIIq7uztXZHjp0qWYO3eu8t/37t1DeHg4Nm3ahA4dOgAAQkNDMXXqVJSUlMDGxgYAkJCQgGbNmqFWrYqLXtva2pYLzpgDTS4swltUHGQihJeVWIQ2DWrh5I2qaxAp7nCnyVlC9G9Gvxb4YPUJrrYJFx4g71kJxv92ConXclDEACsR4GRvg/AWXpjRrwXsJVY6HjEhhBCiasfZqierFageivkyllRLgPFMtlfFGGrIAJqvrDDUzXfGEnRSpIzjWXll6JRxhFii4lIZ942KAGBvLcLzUvXrVl5p5orVkVQHxdQZbKlC/fr10bJlS+WjadOmAIBGjRqhXj35XQnvvvsuJBIJhg8fjvPnz2PTpk1YsmSJyioTS0IXFsQQNLnD69/r2TocCSGkIopVYzwYgMDZ+3DoqjyAAgBSBjx+VoKNJ2+j+fR4DF97XFdDJYQQQsqRyhjO3+WrY2ktpnoo5sxYUi0B/EEB3na6YCw1ZADNV1YYirEEx0wpZRwhluiDVUncba3FQNrs3kibGY5XmrrC2c4atR1sMKSdDy7O7kUBFDNh1PmenJ2dsW/fPmRkZKBNmzb49NNPMX36dHz00UeGHpre0YUFMZROGlyg3H1Md8gI7ciRI+jXrx+8vb0hEonw559/GnpIxAhZiUV4I8RbsP4OXHqIrvMPCtYfIYQQUpmk9EeQciYdf8XfndLHmjFjmeAGAA/O4AhvO10wlhoywH8rK3gYcmXFncd8KdJ1HXQC+IOBhk4ZR4i5elpYisifjiFg2m74T9uDPkuO4ODFB3heLMVxjowsCh93bQwrsQg17Kyx+sOOODMzHCnTe2LeoNaU5cGMCJ7OS1sNGjQAY+XPnFu3bo2jR48aYETGhS4siKF0bOgKaxFQwapEFfdyKYgitIKCAgQGBuLDDz/EwIEDDT0cYsRiBwZiS8o9wfq7+eg5Zu84T4XvCCGE6NzPiRncbSNC/XQ4EmJoxpJqCQDAeUl98kaOwVIaG1MNGcXKCp46MoZaWSGVMWw/w3e+rOugE2BcQUNCLIlUxvDqgsO48ahsUJXhwv0n+HDdSY36EgEY16OpoOMjxsmoV6KQ/yRy5jkF6MKCCMtKLEKwb8U1iMo6cycPUhlntI9w6d27N+bOnYs33njD0EMhRk5iLUZjd0dB+1z97w0Ul8oE7ZMQQggpSypj2H/pAVdbWnFv/oylvgcAPOSsz7L22A2DXQMZUw0ZwPhXVpzIyEFOQUmV7VwdJToPOgFGFjQkxELEp91Ho893vxBA0d4bwd50I7uFoCCKieDNGSqxogsLIjzeE0hFcXliOEVFRcjPz1d5EMsxQwerRj74iT8XLCGEEKKppPRHkHLG6wPq1KSJCjNmTPU9AMCjJmeNj2eGq/FhTDVkAONfWcG7cqd/kH4mRXl/DrzBRUJI5eLT7mP0hhRB+5w3KFDQ/ojxoiCKCZDKGE7f5MvFF1jPmS4siOA0qYtCxeUNKzY2Fs7OzsqHj4+PoYdE9KhTYzdYCfwVcDzjMa1GIYQQojOapPLqFyhc/S9ifIypvgdgGjU+jC1oYewrK3hX7tRz0f3nCwBqc9bT2X/xAWV8IKSapDImeAClg18tSKxpat1S0G/aBCSlP+KqRwEA7fSw5JRYHkVdFB4nDXQXFpGLiYlBXl6e8nH79m1DD4nokZVYhEVvCn8nzJp/0wXvkxBCCJGvPOBL5QUAEZ0obbE5M6b6HsB/NT54GKrGh7EFLYx9ZYWx/by8nDhXOz033GonQsxF1K+nBO9z/fCOgvdJjBcFUUyAJvVQXmrkrsOREEtFdVFMh62tLZycnFQexLL0D6mHBrX5Lsh4rf6H/y5hQgghhFfitYfgXevoW9ue7vY0c8ZW3wMw/hofxlRDBjD+lRXGtnLHFFY7EWIOiktliE/jv2mDB61CsTz02zYBdx/zfVlSPRSiS1QXhRDTceB/rwjaX9aTYkrpRQghRHCzdpznbvt+R18djoQYA2Or7wEY36R7WcZWQwYw/pUVxrYSxRRWOxFiDj5YJXydT1qFYnkoiGIC7jx+xtWO6qEQXaK6KIbx9OlTpKamIjU1FQCQkZGB1NRU3Lp1y7ADI0bNSizCyvdDBO1zypYzgvZHCCHEshWXynAtu4C7vTmk8oqLi0ODBg1gZ2eHDh064MSJE5W2/+OPP+Dv7w87Ozu0atUKu3fv1tNIDcMYAxbGNulelrHVkAGMf2WFsa3cAYCXmvBlE+Fd5UMIUVVcKsPxG3x1pnl9+FIDWoVigeg3buSkMoaUm7lcbb31VPyMWCZN6qLsPZ+p28FYkFOnTiE4OBjBwcEAgIkTJyI4OBjTp0838MiIsevVsg5Wvh8CoWLrf6beo1R9hBBCBBOzlT8438jdweQnKzZt2oSJEydixowZSElJQWBgIMLDw/Hggfr0IomJiXjnnXcwfPhwnD59Gq+//jpef/11pKWl6Xnk+sO7WkJfqyoA467xYWw1ZADjXllhjCt3AMCDMzjC244QokroVSg+te0xvV8LQfskpsG0z0QtgCZ5guvWoiAK0R1N6qJcz35GqX8E0q1bNzDGyj3Wrl1r6KERE9CrZR1c/bIPfnqvDeo5SyCC/Ivfxd4GQ9r5IG1mOHhjLDIGJF41TBFQQggh5kUqY9h++h53+5mvtdThaPRj4cKFGDlyJCIjIxEQEICVK1fCwcEBq1evVtt+yZIl6NWrFyZNmoTmzZtjzpw5CAkJwXfffafnkeuPB2cqKN52QjDmGh/GWEMGMN46Msa4cgcAuE/GKekIIRoTehWKq4M1jk4WNnU2MR0URDFyyw5e4W5LReWJrmlyB9O6RCpETYgxsBKL8GorL/wT0wMZ8/oifV5fpM7oiXmDWqOGnTXeCPLm7mvmTvO9+5UQQoj+JKU/QinnfLNYBHRqor8aGLpQXFyM5ORkhIWFKbeJxWKEhYXh2LFjavc5duyYSnsACA8Pr7C9OTiRwVlXUY+xCmOu8WGMNWQA40zLBhjnyh0AeMA5Lt52hJD/aLLqtSqvNHNF8vRwwfojpoeCKEZMKmM4dSOXq62VGFRUnuicJnVRNiTd1OFICCFCmTc4kLvt9exneFpYirhDV9Dxy71oOGUXGsXsQvDsfZiy5SyeF0t1OFJCCCHm4mcNbrbR9130uvDw4UNIpVJ4eqqmOfL09ERmpvo0uJmZmRq1B4CioiLk5+erPEyFVMawLpHv+uFhAd8KDCEYc40PYw1WGGsdGWNducOb1uzfa7QinBBNSGUM21L4V722b+CCNR+0hb+HA2wAWImAWg7yDA4XZ/fC6kgqJG/pKIhixDRJ5RXi42LyFxfE+HVs6AorzqPGzZznlNKLEBMgsRajsbsjd/uWM/di/t6ryHxSChkAKQMePyvBxpO30Xx6PIavPa67wRK9WLBgAdq1a4eaNWvCw8MDr7/+Oi5fvqzSprCwEFFRUXB1dUWNGjUwaNAgZGWp5hm/desW+vbtCwcHB3h4eGDSpEkoLVVNo3H48GGEhITA1tYWjRs3VpuqUNNCzNoqLpXh+7+vYfCKRAxe8S9++Ps6fY8RogNSGcP+i+rrgKgTEWr6BeX1JTY2Fs7OzsqHj4+PoYfE7URGDnKfl3C19aipv3Rexlzjw1iDFaYe3NH3yh1jThlHiCnTZE4VADaMCEX3Fp6In9gdV+f1xfXYvjg9XZ7BwV5ipbNxEtNBQRQjNmvHee62n7zSVIcjIUTOSixCmL8Hd/uYrWd1OBpCiFBmCFgY78Clh+jyzQHB+iP69++//yIqKgpJSUlISEhASUkJevbsiYKCAmWbCRMmYMeOHfjjjz/w999/4969exg4cKDyealUir59+6K4uBiJiYlYt24d1q5di+nTpyvbZGRkoG/fvujevTtSU1Mxfvx4jBgxAnv37lW20bQQs7Zid19A02l7ELvnMk7dfIxTN3Px1Z5LaDptD2btOCfoaxFi6ZLSH0HKOQ9oLqvt3dzcYGVlVS7YnJWVBS8vL7X7eHl5adQeAGJiYpCXl6d83L59u/qD1xNjTbUEGG+ND2MNVvAGBXjbCcVYf17GnDKOEGP3tLAUw1YlovGUXWgwZRf8puxCwBfxiFxzAp/+kcrdT2A9J0isaYqcVI4+IUaquFSGa9kFVTeEeeQJJqZjaCf+uwG3pNylu2UIMQGdGrsJWqvyVk4hPlyrm9UCRPe2bt2KYcOGoUWLFggMDMTatWtx69YtJCcnAwDy8vLw008/YeHChXjllVfQpk0brFmzBomJiUhKSgIA7Nu3DxcuXMCGDRsQFBSE3r17Y86cOYiLi0NxsXxyYuXKlfDz88OCBQvQvHlzREdHY/DgwVi0aJFyLJoWYtZG7O4L+P5IxamF1vx7Cy/F7hPs9QixdPPjL3K3NZfV9hKJBG3atMGBA//dZCCTyXDgwAGEhoaq3Sc0NFSlPQAkJCRU2B4AbG1t4eTkpPIwFcaaagkw3sn3O4+fcbWr7ajf4I4HZ3CEt51QjHXljjGnjCPEmL227ChaztyLw9ceQ7HWnQF4ViLFocvZePCE/5g8Oby5TsZIzAsFUYxU65nx3G3b1DePiwtiGjRJ6QUA3emOdEKMnpVYpFGBeR4HL2Vjxxn+HLTEeOXl5QEAateW3/mbnJyMkpISlYLH/v7+qF+/vrLg8bFjx9CqVSuVfP7h4eHIz8/H+fPnlW0qK5qsTSFmTRWXyioNoCjczStB08930Y0BhFRTcakMqXf463SY02r7iRMn4scff8S6detw8eJFjBkzBgUFBYiMjAQADB06FDExMcr248aNQ3x8PBYsWIBLly5h5syZOHXqFKKjow31FnTKWFMtAcY5+S6VMWznPM/ycrbX8WhewDk1cfKGfldVHLvOV1NE38EwY04ZR4ixajVzL9LuClP3y1xWvRLdoyCKkZHKGJp+vguFpfwX6eZ0cUGMn6YpvW7lFuGl2AQdjogQIgRNCszzmvh7Kk06mziZTIbx48fjpZdeQsuWLQHIix1LJBK4uLiotC1b8LiigsiK5yprk5+fj+fPn2tViFnTosrrj92o9PmyimVAo893Y2fqXe59CCGqPliVxN3W3Fbbv/322/j2228xffp0BAUFITU1FfHx8cpj3K1bt3D//n1l+06dOuHXX3/FDz/8gMDAQGzevBl//vmn8lhsbox1tYcmr8k7SS+EExk5yCmouoaMq6NE7+nPHnKuKlp77IbezhOlMoaEC1lVN4T+V+4AxpsyjhBj9FLsPjwpLK26IacBgd50YzrhQkEUIxKfdh+NPt+NYg0qH5nbxQUxDZqk9AKAu3nFCJm9t+qGhBCDkViL0aFBLUH7LJEyJF7V34QCEV5UVBTS0tKwceNGQw+Fi6ZFlW/m8KVCKSt6YyqGrz2u7RAJsVjFpTIcv/GYu/0bwXXNblIjOjoaN2/eRFFREY4fP44OHToonzt8+DDWrl2r0v7NN9/E5cuXUVRUhLS0NPTp00fPI9YfY1ztoWCMhb95a8j0D9L/5KBHTc4aH8/0V+PjREYO8jgnXfW+cgfGHUQkxJjM2nEOd/OqDiBrYt4g4W8mJOaJgihGIj7tPkZvSNF4v9cNcFJESMeGrrDR8OiR86wUL39Nqb0IMWbrR3QUvM+ZO9ME75PoR3R0NHbu3IlDhw6hXr16yu1eXl4oLi5Gbm6uSvuyBY8rKoiseK6yNk5OTrC3t9eqELOmRZV9aztU+nxFDlx6iL6LD2u1LyGWKmbrGY3axw5sraOREGNkrKmWAOMs/M1bQ6aei/4DAsZY44M36ORib6P3lTuAcQcRCTEWxaUyrPn3lqB9dvCrRQXlCTf6pBgBqYxpFUABKGJKDMNKLMKYro003u/OYyo2TYgxk1iL0aslf7o+Htezn6G4VIMllsTgGGOIjo7Gtm3bcPDgQfj5qa4+bNOmDWxsbFQKHl++fBm3bt1SFjwODQ3FuXPn8ODBA2WbhIQEODk5ISAgQNmmsqLJ2hRi1rSo8gehDar4aVTsfGYBOn1FBecJ4SGVMWxN4a+TRZMalsXYUy2196sNF3sbrrYPnvBN1leXMU+6G2OND96gU1hzD4PcpGqMKeMIMTaapATltX648DcREvNFZ6ZGYPCKf7Tar3cLT7q4IAYzrkczrQ4gVGyaEOMW925bwfucskWzu4+JYX366afYsGEDfv31V9SsWROZmZnIzMzE8+fyu0WdnZ0xfPhwTJw4EYcOHUJycjIiIyMRGhqKjh3lFyI9e/ZEQEAAPvjgA5w5cwZ79+7FtGnTEBUVBVtbeVqU0aNHIz09HZMnT8alS5ewfPly/P7775gwYYJyLFUVYq4uibUYw1/21Xr/e/klaD5tlyBjIcScLUm4DE2SHNGkhmUx9lRLVmIRIjrxfVe4OfKl/qouY0//ZGw1PniDby81NkyqdGNMGUeIMdE0JSiPD19qQHOqRCP0aTGw58VSnL5dedFTdcQAvnuvjfADIoSTlViEpUOCtNp3/KbTdPJHiJGyEouw8v0QQfv8M/Ue/c2bkJ9++gl5eXno1q0b6tSpo3xs2rRJ2WbRokV47bXXMGjQIHTp0gVeXl7YunWr8nkrKyvs3LkTVlZWCA0Nxfvvv4+hQ4di9uzZyjZ+fn7YtWsXEhISEBgYiAULFmDVqlUIDw9XtqmqELMQvnitJVrVran1/s9LgYZTdtFnnJAKSGUMSw9d524fWM+JJjUsjLGnWgKA9n6ufA31tIjBmFeiAMYX5PHgTMnG205oxpgyjhBjIvQqFJ9a9pjer4WgfRLzx5eokujMwDjtVqF8924I1UIhBvdaUF1sS72DA5c0W1YslQFLEq5gYngzHY2MEFIdvVrWwcr3QxD9awqEyMQlY0Di1Yfo3My9+p0RncvLy6syDZadnR3i4uIQFxdXYRtfX1/s3r270n66deuG06dPV9omOjoa0dHRlbaprh1ju2D42pM4cOlB1Y3VkAFo9PlufDckCK8F1RV2cISYuKhfT2nUfnJ4cx2NhBgrY0+1BAAPOAM9vO2qy5hryABGGOThvc/BQPdDKOrI8KzI0lcdGUKMhdCrUGpIxDj62SuC9UcsB93iY0DFpTJczHqq8X6j/q+9O49r6kr/B/7JDYZFZRUE1Cq4IS6AG+JWdxR0ahendrHVOnbq1KXVaX9gLe7L2NVa+3W6uHQbO0s70yrFUrWLitqqaF2gilgUBauoFBUiSX5/UKhUhHOTm+Te5PN+vfJ6tXByOJFwkpznPs8zMAJJ3cLssCIi+d6ZGI8uYU1k32/NN3m8apdIxUZ2CUPu4iSsm9ATUSE+8EDVxZVeHhKiw5pi7aO9cHdMuPB8bDBPavfOxF5Y9UCcTXNM25iNx9YpX6+ZSKuMlWZkHBYPThr0OvRpK3jFP7kM0YN00RJR9iDau8MRPT7U3kMGUF+Pj/OCgTrRcUpTYx8ZIrVI/Vi50tCdwxrj8MJRis1H7oWZKE5kzUbwxoNxSOomfmhF5AibZt6J0a99g8NnfxG+j9Fkwe68i+jX3nkfhoiofnpJh8Gdm2Nw57o/1PVv3wyfCPY4qm4wzxItpGZjYsKR1DUM0c+no8Jk3Rzbci+i39IvsHPOCGUXR6RBySu/ljX+iYFtmW3vhtRW+qkuasqsUHsPGUB+jw97/93vPP6z0DjRrCh7SGjbDP/eX9jgOGeVaCNyBpPZgo/3i/fUjQj0RJugxth1ogQVlqrMAW+DHr0jArHqge5o4sVjcLIenz1OYjJb8L8D4huBDsCJpUn8UEGqtWnGQExauwfbfxS/mmhDVj6DKEQaZvCQ0C64MU78fFVo/LqdJzG+V2s88vYu/HC2DBYA3o30iI/km1pSD72kQ+6SZPRb9iUKr1h3mFJYegMd5mzGscV870bua1N2IY7/fE14vKQDZg7vYMcVkVqpKUBxO3IyK+7t0dKua9FCDxm5PT4S7JiBpoXMHUAbwUQiR1uZmSuryt6WWUN40R7ZDZ9ZTrL75EVUytgJcheP4odwUr11j8UjtmX9dfRvti3nZ5b0ItK4eTIa8i37PBcxC7/AwbNlMKOq7PS1GyZsz/0ZXeZvQfLKr+y1TCLZdqYOQ+dw6xvOG81VfVI2ZTd8VSmRqzGZLZixMVvWfV65P5afd9yU2vt7APIzK+xJCz1kqnt8iLB3jw8tZO4A2ggmEinNZLZg+5FijHx5O9qlbEZEymZEzf0cSSu/wZdHivHa9jzhuWJa+jKAQnbFZ5eT7JJR+5MbAWnJf/7SX3hspbmqpBcRaVffdsplkx05dxVd52UoNh+RrTbPGIghHYNtmmPaxmxMXr9HoRURacPKzFyYZYwP8/XEXbEt7LYeUi+tZAnIzaywJy30kFFTjw8tZO4AzEQh95Nx+Bw6zk3HpPe+R875a6hE1UV25ZVmHD33C/703vey5ns2sZNd1klUjSfzTpJx+JzwWG4EpCV6SYd7u4v37Xl39yn7LYaI7E4v6dCrtb9i8/1SYcLo175VbD4iW62d1BuT+0fYNMfWnAtIfvUrZRZEpHIms0XWlaMA8PWzQ+y0GlI7rWQJqCmzQiuH7aJBHHtnVmghcwcQz3Y6c9m+zy8iR8g4fA5PvL8flXKuuKiHQa9DHzuWBSQCGERxCmOlGXmC9YG5EZAWLbsnRnjs9hz7p7wTkX3NGKpsDfvDZ0vxP5ZAIhV5fnQ03niwu01zHCm6ir5Lv1BoRUTq9eoXubLGx0cEMOteBUxmC7LyLuJ/2YXIyrvosPfnWskSUFNmhVbKPqkl2KOFzB1APNvp0+yz/PxMmmYyW/DE+/sVnfOJgW1ZEpTsju9WnWDDrlPCYwdHOfdqCCJrGDwktA32ERprNLGkF5HW9W3XDEq/Uj39UTY/IJKqJHULQ97SJHjqrZ/j7K8N5/ncJldlMluw6it5WSjvTe5jp9WQqIzD59D/b9vwwFu7MXNjNh54azf6/22brOoJ1tJKlgCgnswKLfSQAdQT7FFLMKchvSMCEdi4UYPjLl412r1kHJE93fd/OxSdT9IBM4cre1EfUV0YRHGCzw6JX137SJ829lsIkR2N7BImPHZn3s92XAkR2Zte0uHuWPEyfiLMFmBl5o+KzklkK72kQ+6SZLT0F7tatC5sOE+uLH6JvGyrpC6hzEJxsozD5zD1/f04d6V2Rsi5K+WY+v5+uwdSRPuc9FOwB5u11HAYr5UeMoD4v4NoUMhaagnmNEQv6XBXjNj7aXuXjCOyl+tGEw6cLlV0zmmD2jk9yE7uwenvWDdv3oz4+Hh4e3sjICAAY8eOrfX9goICJCcnw8fHByEhIXjmmWdQWSlWM1WNTGYLjhSKbRgeEkt5kXb1lZEO/R2vpGnQ6tWr0aZNG3h5eSE+Ph579+519pKIall+n3gZP1FvfH2CV+yTKu1IGYohUbY3nH9s3W6FVkTkfAs++wEXrsr7nLbKxjJ5ZBuT2YIFnx3F7V5pLQAWfHbUrq/FIYIljETH2ZMaDuO10kMGEO/x8eUx+5Z31krmDgC0DBCr5mDvknFE9nLPamWzUPQSs1DIcZwaRPnPf/6DCRMmYNKkSTh48CB27tyJBx98sOb7JpMJycnJMBqN2LVrFzZs2ID169cjLS3Niau2ze6TF2ESfH8wJCqY0VTSrD6RQWgkuMMcPHOFB6X1+OijjzBr1izMmzcP+/fvR0xMDBITE3H+/HlnL42ohsFDwqR+dyg6Z6UZ2HXcvlcnEllr7cTeWPVAnE1zbMu9iH7sk0IuwFhpxrqdBbLuM30Q65c72978klsyUH7v3JVy+5YOEv0IoIKPCmrIrNBKDxlAvMfH5es37PYc01LmDqCOQB2RvRgrzThWXKbonK/eH8f3EuQwTguiVFZWYubMmXjhhRfwxBNPoEOHDoiOjsYf//jHmjFffPEFjh49ivfffx+xsbEYNWoUFi1ahNWrV8No1GbkfZeMN1SPJkTYcSVE9qWXdBjaSaz5Ivui1O/ll1/GlClTMGnSJERHR2PNmjXw8fHB2rVrnb00olrmjemKFn4N13KWY/6mw4rOR6SkMTHhyFuaBIMN76gLS28g6rnNyi2KyAl6LZYXDNQBeGpER/sshoSJlgSyZ+mg84I9UUTH2ZMaMiu01EOmd0Qg/Lw8hMba6zmmpcwdQB0l44jsZcLbymZgD+4YjDGCJfCIlOC0IMr+/ftRWFgISZIQFxeHsLAwjBo1CocP/3ZYkpWVha5du6J5898OYhMTE1FaWoojR444Y9k2E73CwqBnKS/SvgkJbYTHsi9K3YxGI/bt24dhw4bVfE2SJAwbNgxZWVlOXBlR3XamjkBTwQ/MIvJ+vgZjpVmx+YiUppd0+HFpMgK8rX/el5uANilsOE/a9Ni63bhSbpJ1n1fHxzr9gJfESwLZs3SQaFBAdJw9qSGzQjQDIUFGaWV70Us6DI8Wu6jOXs8xLWXuAMxEIddlrDRjz6lLis0X2LgR1k3qrdh8RCKcFkQ5efIkAGD+/PmYO3cuNm3ahICAAAwaNAglJVVvOIqKimoFUADU/H9RUdFt566oqEBpaWmtmxqYzBYcOnNZaGxMSz9+sCDN6xMZBA/Bp3HhJTbHq8uFCxdgMpnq3Avr2gfVuv+Re/lhfiK6tPBVbL6U/xxUbC4iezkwLxEtA2yr2c+G86Q1m7ILsS1XXjZxRJAP7optYacVkRxqOLBVwxpEqSGzQmuZCqLBHHv9frWUuQOoo2QckT2k/Fu5z3NNDBL2Pz9CsfmIRCkeRElJSYFOp6v3lpOTA7O56qrS5557Dvfeey969OiBdevWQafT4V//+pdNa1i2bBn8/Pxqbq1atVLiodlsb34JKirFrjDspYKrIIhspZd0iGsdIDS2oXrMJEat+x+5n03TB+Dw/EQMbh8Iz18/kzaSdGjh74VnEzviyTvbCs/13+yzvEKfNGHH/2PDeXIfJrMF0zZmy77fl7MHKb4Wso4aDmy11PRbDZkVWgo6Ac4P+mgpcwdQR8k4IqWZzBZ8nH1WeHx9vXUHdwjE4YWjFFgVkXzK1dv41ezZszFx4sR6x0RGRuLcuXMAgOjo6Jqve3p6IjIyEgUFVU0JQ0NDsXfv3lr3LS4urvne7aSmpmLWrFk1/19aWqqKg0TRVFIA6NfWtg/gRGrROyIQ3wmkbR76tbm8Gq4AUpNmzZpBr9fX7H3ViouL69wH1br/kXtq4uWBdZMT6vyeyWzB6q/zhOYxW6oazA/oyNdGUr+1E3vjs4NnMf0fB6yeo7rh/M45vMqO1Kvz8+my77PqATaAVRO5B7ZK/+601vQbqDps//f+hjMG7RXE0FLQCXB+0MfZQRy55JaMS2AJeNKAlZm5ssYfWTgKJrMF8z/7AV/nXoAOwKCOIUgb0xneBr19FkkkQPEgSnBwMIKDGz7k6NGjBzw9PZGbm4v+/fsDAG7cuIFTp06hdevWAICEhAQsWbIE58+fR0hICAAgMzMTvr6+tYIvv+fp6QlPT7E3hI504RexVFLvRhL7oZDL6Nu2GVZvb/igtLzSjN15F9GvvTquAlILg8GAHj16YOvWrRg7diwAwGw2Y+vWrZg2bdot49W6/xH9nl7S4Z7YcOGrkuZvOoxNEQOR9ukhZBw6h6tGCwweEiKDG+OvI6JwZ8dgHsyRaoyJCUdS1zBEP5+OCnmtImoUlt5AhzmbcWxxEp/bpDpJr2yHzDYoiGvlxwawKuPsA1utNf0GnHsor8Wgk5xsp3t7tFT85zs7iCNXdck4kb8Le5WMU5vVq1fjhRdeQFFREWJiYrBq1Sr07s1eGGpTVl6J6R98h90nS1Bp0SHE1xMPxbfGpH4ReE3gPKhafEQADB5VqSh/uzfWTqslso7TeqL4+vriiSeewLx58/DFF18gNzcXU6dOBQCMGzcOADBixAhER0djwoQJOHjwILZs2YK5c+fiySef1OQh4fenxOoFD+zAgyByHX0ig2DQiz2f2Vy+brNmzcJbb72FDRs24NixY5g6dSquXr2KSZMmOXtpRDZZfl+M8Ni8n6+hU1oG/vX9WfxitMCMquDr0XO/4LEN36H9nHRkHD5nv8USyaSXdMhdkoyW/tb3STGa2SeF1GfBZz/gaPE12ff799R+dlgN2cLZPT601vQbcO6hvBaDTs4uT6W1TBQ1lIxTk48++gizZs3CvHnzsH//fsTExCAxMRHnz5939tLoJqNf+xZd5m/B9uMluG4CbpgtKLxcjhVbctEpLUPWXO9N7mOnVRLZzmlBFAB44YUXMH78eEyYMAG9evXCTz/9hG3btiEgoKqHgl6vx6ZNm6DX65GQkICHH34YjzzyCBYuXOjMZVvFZLZgW47YRu/diOlp5Dr0kg4xLf2Exn6XX2Ln1WjT/fffjxdffBFpaWmIjY1FdnY2MjIybmk2T6Q1Bg8J7YIbKzKXGcAT7+9nIIVUZ0cK+6SQ60g/dBbrdhbIvh/LeKmTsw9stdb0G3BuHxktBp3kZjspTWuZKIB4fxY1rdleXn75ZUyZMgWTJk1CdHQ01qxZAx8fH6xdu9bZS6NfRT3/OQ6fLVVkrrbBPjVZKERq5NRnZ6NGjfDiiy+iuLgYpaWlyMzMROfOnWuNad26NdLT03Ht2jX8/PPPePHFF+HhoXgVMrvbffIibpjFxobbcMUikRq1CPARGnfw174odKtp06bhp59+QkVFBfbs2YP4+HhnL4lIEfPGdG54kAx/+WA/9xFSnbUTe2PVA3E2zbEt9yL6L8tUaEVE8pnMFvzlQ/m9foZEBbOMl4o588BWa02/AedmVmgx6OTsbCet9ZABtJc9Yy9GoxH79u3DsGHDar4mSRKGDRuGrKwsJ66MqkXP3Yxy0YNOAfNHd1FsLiJ7YIjPQXbJuBKFTeXJ1bQIEEsnN5os2J0nVvaOiFxD33bNoOTHfLMFmPbBPgVnJFLGmJhw5C1Nsun5fuaKEbHzP1dsTURydLKikXxLfy+sncja9WrmzANbLR4WOzOzQotBJ2dmO2mxhwygzewZe7hw4QJMJtMt1ReaN2+OoqKiW8ZXVFSgtLS01o3sJ+nV7bgmVl1QiIcE9GV/XFI5BlEcRPQNlEGvY1N5cjl9ZbyRZ18UIveil3S4O1bZK5Q/P1IMY6VyV0URKUUv6ZC/PBk+NpQquFxuRvs5m5lxRQ4VM/9zGGU2kveQqsrZEVBSUoKHHnoIvr6+8Pf3x+TJk1FWVlbvfQYNGgSdTlfr9sQTTyi+Nmce2GrxsNiZmRVaDDoBzst20mIPGUC7v2dnW7ZsGfz8/GpurVq1cvaSXNan+8/gaJH83mj1+cud7VSTQUd0OwyiOIDJbMGBny4JjY1p6ceNg1xOn8ggeAg+rQsvKZ/GTUTqJqfBvKgJ77B/BKnX0cWjbGo4f4MN58mBYhdk4Eq5/MD00YWj7LAabXrooYdw5MgRZGZmYtOmTfjmm2/w+OOPN3i/KVOm4Ny5czW3FStWKL42Z/b40GKpJWdmVmgx6AQ4LyigxR4ygHZ/z0pr1qwZ9Ho9iotrZxMVFxcjNDT0lvGpqam4cuVKze306dOOWqpbMZktmPnPg4rOqZeAmcM7KDonkT0wiOIAu09eRKXgxYK9VPTiTaQUvaRD7B3+QmPPXmYQhcjdGDwkdGreRNE59+RfYjYKqRobzpMWxC7IwOXrMlNQADzWrw2bw/7q2LFjyMjIwNtvv434+Hj0798fq1atwsaNG3H27Nl67+vj44PQ0NCam6+vr+Lrc1aPD62WWgKcl1mhxaAT4LyggBZ7yADODWyqicFgQI8ePbB169aar5nNZmzduhUJCQm3jPf09ISvr2+tGylvZWYulM6FfvX+OFX9DRLdDt/ZOgD7oRABLdlcnojq8fGT/RWfM/XjQ4rPSaQkpRrO91v6hUIrIvqNtQGUVoHeSBvT2Q4r0qasrCz4+/ujZ8+eNV8bNmwYJEnCnj176r3vBx98gGbNmqFLly5ITU3FtWvKlk8BnNfjQ6ullgDnZFZoOejkrKCAFnvIAM4LbKrRrFmz8NZbb2HDhg04duwYpk6diqtXr2LSpEnOXppbMpktWP1VnqJzDu4YjDExypZ2JrIXBlEcgP1QiNhcnojq523QY3AHZbMxPzlQ6PIfLkn7qhvOe+qtn6Ow9AY6sE8KKSjOygBKgLcHvn12iB1WpF1FRUUICQmp9TUPDw8EBgbW2Ry52oMPPoj3338f27dvR2pqKt577z08/PDD9f4saxorO6vHh1ZLLQHOyazQctDJWUEBrfYWcVZgU43uv/9+vPjii0hLS0NsbCyys7ORkZFxS7N5coxdJy7ApOBbzcDGjbBuUm/lJiSyMwZR7Iz9UIiqsLk8ETVk3WMJ8BU8yBFhtgC7jrt2qQNyDXpJh9wlyWjhJ3bQVBfjr31S0g/VXx6IqCH9lmXikhUBFIMEHJiXaIcVqVNKSsotjd9/f8vJybF6/scffxyJiYno2rUrHnroIbz77rv45JNPkJd3+6uArWms7KweH1ottQQ453Bey0EnZwUFtNpbxFmBTbWaNm0afvrpJ1RUVGDPnj2Ij4939pLc1vxPjyg2VxODhP3Pj1BsPiJHYBDFztgPhaiKnObyW47c/qo8InJth+YnoksL5WoYz990WLG5iOxtZ+owdA5vatMcf/nwABbxeU9WSnr1KxRese7g99jiJIVXo26zZ8/GsWPH6r1FRkYiNDQU58+fr3XfyspKlJSU1Nkc+XaqDw5PnDhx2zHWNlZ2Ro8PrZZaApxzOK/loJOzggJa7SHjrMAmUX2MlWbkXbiqyFyDOwTi8MJRisxF5EgMotjZu7vyhceyHwq5Mr2kQ1zrAKGxeT9fY0NoIje2afoAHJ6fiMHtA+H56zmABKCxQY/BHYPx9iM9673/zbifkNZsnjEQQ6NCGh5Yj3d2/IRJa9lwnuRJXvk1jhZZd0DyxoPdVXdwa2/BwcGIioqq92YwGJCQkIDLly9j3759Nffdtm0bzGazrCuqs7OzAQBhYWG3HWNtY2VnZFZotdQS4JweH1oOOjkjKKDlHjKAcwKbRPVJ+fdB4bE6AIfnJ+K+HmHw9gD0OqCppx5/7NkSxxaOxLrHEuy3UCI7Uq5mBt3CZLbgy5zzDQ8E4CGxHwq5vt4RgfjulFh5uw278jFlYFs7r4iI1KqJlwfWTa77DbbJbEEjCbghGBtJ/fgQXvpjrHKLI7Kzdyb2wmcHz2L6Pw5YPcf2H6sazu+cw1IJ1LDklV/jyLkyq+47ZUAEkrrd/mDf3XXq1AkjR47ElClTsGbNGty4cQPTpk3D+PHjER5e1Uy3sLAQQ4cOxbvvvovevXsjLy8PH374IZKSkhAUFIRDhw7h6aefxsCBA9GtWzfF1+iMzIqCErGAnRoPieX2+FAiwKjloBNQFRT49/7CBscp9fvWcg8ZQPu/b3ItJrMFH2eLl4u9Oy4cTbw88OK47nhxnB0XRuRgDKLY0e6TF2ESPOCJDmvqdldvkfvp27YZVm+/fR3nm72/+ycGUYioTnpJh6l3tsVrgvvJx/sLsXhsV6zdmYf3duXj518qIUk6hPh64qH41vjTgEgYPJicS+oyJiYcSV3DEP18Oirkt6cA8FvD+WOLk/g+k24raeXXOGplAGVy/zZ4Ljla4RW5ng8++ADTpk3D0KFDIUkS7r33Xrz22ms1379x4wZyc3Nx7do1AIDBYMCXX36JV199FVevXkWrVq1w7733Yu7cuXZZn5zMint7tLT555nMFnx8oOEDdUCdh8Rye3wkKHCxpFb7e1RzdFBAyz1kAPHfY0HJNTuvhNxFWXklpn/wHXadKEHFry0JGklAuL83msnM1lp+b4wdVkjkfAyi2JGcUl5jYsLtuBIidegTGQS9BKHg4k8l12GsNPNgk4jqNHN4R+EgigVAp7SMWl8zmS0ovFyOFVtysWJLLqYMaIPnkjvbYaVE1qtuON9/+VacuSx2IPR71Q3nXx8fi9GxLRReIWldv+VfovCyWK+F35vcvw2eH819U0RgYCA+/PDD236/TZs2sFh+a6TZqlUrfP31145YGgDxzIr0w0X42322Z1bszS/BL+Vi0WE1llqq7vEhkumgVI8Prfb3qOboIJCWe8gA4r/HTw4UIm1MZ1U+BtKO0au+xeHC0lu+fsNcdS7zU4n4PhYfEcAzHHJZfGbbiclswZajYqW8AODRvhF2XA2ROuglHYbJqPM+4R3WcyeiuuklHRKjbesbcbO3vj2FKe9+p9h8RErakTIUQ6Js6503bWM2HlvH11X6TdyCLVYHUCb1YwDFlYhmVlwzmrA776LNP080SwBQZ6klR/f40Hp/D8DxfWS03EMGEA9slpZXYm9+iZ1XQ66s2/wtdQZQrPXe5D6KzUWkNgyi2MnKzFzhsc2bGhipJbfxiIyA4Z78S2wITUS3JWc/EZF59Dw+Oyhe75fIkdZO7I1VD8TZNMe23Ko+KUSd5qbj0nWxfgG/N6RjMOaNYQDFlfSOCERjg15obNZJ2w+5RbMEfL08VFlqCXBs42+t9/cA5PeRsZXWe4qIBjYB5bKdyP0kvbodpYJ7i4i2wT482ySXxme3HZjMFuESI0BViSMid9EnMgh6GdnGPRdtsd9iiEjT+kQGoZHC72Rm/OOAIh/eiexhTEw48pYmQeyos26FpTfQae5mxdZE2tM+dTOuV1q3z3UJb4q1k3orvCJyNr2kw4D2YkEBJV4iRQMLd8e1UG2ZIkce0mu9vwcgv4+MrbTeQ6Z3RCCaeom92iuR7UTu59P9Z3C0SNmeOvNHd1F0PiK1YRDFDmLmZzQ86Cb3dW9lp5UQqY9e0uEuGT2ASivMSH7tGzuuiIi0qrrBvJIsAKZ9sE/ROYmUpJd0yFueDB8bIojXK4HIlM0MGLqhdimbccPKX3vnsCbYNGOgsgsi1ejRWuzwPUCBQ2fRwMIdgT42/yx7ceQhvdb7ewC/9ZERoURmhdZ7yOglHe6JE+tjptZAEKmXyWzBjH8eVHTORnod+goG44m0ikEUhfVfnokyo3j5IQ8J3GjI7Sy/L0bW+CNnf8Hk9exVQES3mjm8I5Q+Lvj8SDFLCZLqHV00Ci39xct9/J4ZVQ3nN2UXKrcoUi2T2YLIlM2wtmhH57Am2DzzTkXXROoi2ktDiZ4bWs8SABzb40Pr/T0Ax/aRMZkt2PzDOaGxau0hAwB3BDYWGqfWQBCp15Mffq/4nC//MVa1QVwipTCIoqAFn/2AM5flvYD95c523GjI7Rg8JMS3CZB1n6057FVARLfSSzpMH6xsNgoApH58SPE5iZTGhvMkIv3QObSdkw5rQ8MMoLgHRwYFtJ4lAIj3+Eg/XGRz1p/W+3tUc1Qfmd0nL+L6DbEdT609ZADXCDaS+hgrzcg4fF7ROQd3DMYYGdVGiLSKQRSFGCvNWLezQNZ9JB0wc3gHO62ISN3e+1Mf2fd56iP2KiCiW80c3lHxNzSfHCjkfkOawIbzVJ9Fm47iLx/ut/r+XRhAcRuOavxtMluQebRYbE0qzhIQ7fFxzWjC7ryLNv2sgpKrQuPUfpjuqGBQluC/dxNPD9X2kAEcG9gk95H6sbJlvAJ9GmEde6WRm2AQRSET3pZ/Bd8r9zPdjdyXwUPCyC4hsu5jMgMrM3+004qISKv0kg6vjY9VdE6zBdh13D0/lO7cuRNjxoxBeHg4dDod/vvf/9b6vsViQVpaGsLCwuDt7Y1hw4bh+PHjtcaUlJTgoYcegq+vL/z9/TF58mSUlZXVGnPo0CEMGDAAXl5eaNWqFVasWHHLWv71r38hKioKXl5e6Nq1K9LT0xV/vK6guuG8pw0d5wtLb6DDHPZJcSWT1u3BOzvyrb7/kI7NsIkBFLfhqMbfe/NLcKVcrLCcmrMEekcEorFBbNPNOmn9+wmT2YKPD4iVXVR7JopokKegxLZm1xaIvY71bx+k6vMYRwU2yX2YzBZ8vF+56h6eemB/2gjF5iNSOwZRFGCsNGPPqUuy7hMR5IO7YsUahRG5qtUP9pR9nze+PsE3iUR0i9GxLTA8Wl5gtiGvbXPPoO21a9cQExOD1atX1/n9FStW4LXXXsOaNWuwZ88eNG7cGImJiSgvL68Z89BDD+HIkSPIzMzEpk2b8M033+Dxxx+v+X5paSlGjBiB1q1bY9++fXjhhRcwf/58vPnmmzVjdu3ahQceeACTJ0/GgQMHMHbsWIwdOxaHDx+234PXML2kQ+6SZJv6pBjN7JPiKvr/bSu251p/cDu5f2usnRSv4IpI7RzV+LuotLzhQQD8vRupOktAL+kwQLC3qS0fXfbml+CXcpPQWDVn7gDiQR5bs4H9vRsJjetxh7zy0o7mqMAmuY+VmbmCIcaGRYf6IHdJskKzEWkDgygKsCYL5cvZg5RfCJHG6CUdXpd59Xil2X2vDiei+r31SC9MGRCh2Hz7T192y6Dt8OHDsXjxYtx99923fM9iseDVV1/F3Llzcdddd6Fbt2549913cfbs2ZqMlWPHjiEjIwNvv/024uPj0b9/f6xatQobN27E2bNVV7998MEHMBqNWLt2LTp37ozx48djxowZePnll2t+1sqVKzFy5Eg888wz6NSpExYtWoTu3bvj9ddfd8i/g1btSBmKwR1tay48bWM2Jq/fo9CKyNHiFmzBmUtiB9V1eX18HJ4f3UXBFZEWOKrxd0lZhdC4YZ1CVJ0lAAA9WosFeQJsKLMlGnQC1J25A4hnVpSWV9oUFAhsLPZzRMc5i6MCm+QeTGYLVn+VJzw+0FuPcT3D0dRQtQ9LABob9BjcMRiH5yci/anBdlopkXoxiGIja7JQ3niwu+rfEBI5yujYFhgaJe+wZ6WbXh1ORA17LjkaPy4ehV5t/Ov8/ojoZtALvgSbzLC5jrmryc/PR1FREYYNG1bzNT8/P8THxyMrKwsAkJWVBX9/f/Ts+Vu24bBhwyBJEvbs2VMzZuDAgTAYfjtYSkxMRG5uLi5dulQz5uafUz2m+ufQ7a2bFI/J/W0LKG7NuYDkV79SZkHkMJ3mpuPSdbFSSXV548E4jI5lc1h35YjG36L3FV2LM4lmftiSISIadPL1Und/D0A8swKwLSgg2iNE7eXPHBXYJPew68QFmGRcG7bqwZ544b44/LAwCaeWJ+Pk8mQcWTgS6yb1RhPB4B6Rq+Ez30ZymzJN7h+BpG5hdloNkTa9MzEeg1ZsxakSsSut9v1UdXW4OwQjlyxZgs2bNyM7OxsGgwGXL1929pKIVM/gIeFfT/SDsdKM97JO4aeSa2gd6IMJCW1g8JDw53e/w5aj54XmWrHlGP7XfoCdV6wdRUVFAIDmzWt/qG/evHnN94qKihASUru0moeHBwIDA2uNiYiIuGWO6u8FBASgqKio3p9Tl4qKClRU/HbgVFpaKufhuZTnR0ejxx0BNjUVP1J0FX2XfoFdc1jvWu1MZgs6zEmHWNGfuq15uDtGduHnFHdWclXswF50XN33FTvs1cKhsJzG3/f2aGnVzxANOt0d10L1n416RwSiqZdeqDyZtb9/k9mCzKPFQmPVXv4MqAom/nt/wyU2bQlskusoK6/E9A++w64TJaiwAI0kHUJ8PfFQfGts2HVKeB6DXoc+bYPst1AijWImig1MZgv+d0C8KVO7YB88Pzrajisi0q6tfx0iPNYC9ynpZTQaMW7cOEydOtXZSyHSHIOHhMkDIrHwri6YPCASBo+qtz2P9BW/Qv/gmVJcN5qw/UgxRr68HR1SN6P9nHT0W74Vb2w/AWOl2V7LJyssW7YMfn5+NbdWrVo5e0lOldQtzOaG82fZcF710g+dQ1sbAigSgLylSQygEC5fvyE0bl+BvEoMte77k1iZpksqzxIAHNP4WzRQc0egj1XzO5Je0uGeOLG+sNYGBfbml+BKuVg2ntrLnwGOCWySaxi96lt0mb8F249XBVAA4IbZgsLL5VixJRfFv4g/R54Y2Fb1QVkiZ2AQxQa7T15EpYz3Qukz77TfYog0Ti/pcI+M8hHu0vB5wYIFePrpp9G1a1dnL4XIZfSJDIKHjM8FndIyMOm975Fz/hqMltofSDrM/RyLNrlPo/PQ0FAAQHFx7as8i4uLa74XGhqK8+drZ/pUVlaipKSk1pi65rj5Z9xuTPX365KamoorV67U3E6fPi33IbocNpx3bYs2HbUp28jLAzi5PJmHJQQA0EHsebDj+EWrggImswXfCl4IpYWnpCMaf4sGE7SSiXBHYGOhcdaW2hLtIePv3Uj15c8AxwQ2Sfu6zd+Cw4XKZF9LOmDm8A6KzEXkahhEscEuwVqbABDT0rfmClgiqtvy+2KEx7prw+eGVFRUoLS0tNaNiGrTSzrcFadczf93dvyEP7z+rWLzqVlERARCQ0OxdevWmq+VlpZiz549SEhIAAAkJCTg8uXL2LdvX82Ybdu2wWw2Iz4+vmbMN998gxs3fjscyMzMRMeOHREQEFAz5uafUz2m+ufUxdPTE76+vrVuVGVHylAMiQq2aY5pG7Px2LrdCq2IbDVp3R68syPf6vv7e0nIWZys4IpI6xIEy7eUVVjX+HtvfgmuGsVyphIi1d8TxRGNv0WDCWrv71HN3kGhC4JX2w/tFKKJ4LG9A5ukfUmvbkepYPaViGmD2mnib4PIGXiqb4OMw+eExz6b2MmOKyFyDQYPCe2Cxa5OYsPnurGUDZGYZfeIB21FHDpTikWbjio6p7OUlZUhOzsb2dnZAKqayWdnZ6OgoAA6nQ5PPfUUFi9ejE8//RQ//PADHnnkEYSHh2Ps2LEAgE6dOmHkyJGYMmUK9u7di507d2LatGkYP348wsOrglcPPvggDAYDJk+ejCNHjuCjjz7CypUrMWvWrJp1zJw5ExkZGXjppZeQk5OD+fPn4/vvv8e0adMc/U/iMtZO7I1VD8TZNMe23Ivot/QLhVZE1uq/fCu251pf2rSlnwHZ80cpuCJyBX0ig+DdSOyIwJqggGiWgI9Br4l6/HpJh2GdQhoeCOCCYIP43ysouSo0TiuZKHL6yFhDtAxccxlN7p3J3oFN0rZP95/B0aJris7JLBSi22MQxUrGSjPyfhbbrNiUiUjcvDGdhcduyLL+6ktnSklJgU6nq/eWk5Nj1dwsZUMkxuAhIbalslkK7+zId4keKQcOHEBcXBzi4qoO22fNmoW4uDikpaUBAJ599llMnz4djz/+OHr16oWysjJkZGTAy+u3A4kPPvgAUVFRGDp0KJKSktC/f3+8+eabNd/38/PDF198gfz8fPTo0QOzZ89GWloaHn/88Zoxffv2xYcffog333wTMTEx+Pe//43//ve/6NKli4P+JVzTmJhw5C1NgsGGTwGFpTcQ9dxm5RZFwkxmCzo+txlnLosdRtdlcIcg7EgdruCqyFXoJR2Su4r1xrGm8XeJYCAhqUuoZq6EDvUX66shWpbpZiazBR8fECujqJVMFNE+MumHi6zKrNAJPm1ExzmbvQObpF0mswUz/nlQ0TnHxoZpZu8lcgax3FO6xYZdp4THDo7SRqookRr0bdcMEgCRY8htOT/DZLZo7u9r9uzZmDhxYr1jIiMjrZrb09MTnp5iH06I3N0zIzvhobf3KDrnhHd246M/91V0TkcbMGAALJbbH1zodDosXLgQCxcuvO2YwMBAfPjhh/X+nG7duuHbb+svgzZu3DiMGzeu/gWTbHpJhx+XJiNuwRZcum5dCYhyE9AmZTPyliZp7nVYq9IPnbOp/wkATOrXGvPGMBBJt5fQthn+vb/hg3trMh9E75PQVv2lvKrV83Jp1bib7c0vwS/lYuXPAhtrIxNFtI/MNaMJu/Muol97ec+FostigQR/70ay5nUWvaRDUpdQ/OfA2QbHWpvtRNr05IffKz7nivtiFZ+TyJUwiGKlvafEywg90qeN/RZC5GL0kg5dWvri0JmGe3lUmi1Wvbl2tuDgYAQH21aXnohs1ycyCI0k4IaCySN78i/BWGlmHzTShAPzEtH/b1tx5pL1WQ1t56Tj9fGxGB3bQsGV0e8t2XwUb31rWwbulAFt8FyyeMYvuaeSq2IHsaLjat9HLFvCmiwXZwkQDAwVC5Yyu5lo+TMACPUTy4hxtt4RgWhs0Av1xsk6eUHW5zyT2YL0w0VCY5sJZsSogT2znUibjJVmZBw+r+icozo35+cXogY49S/kxx9/xF133YVmzZrB19cX/fv3x/bt22uNKSgoQHJyMnx8fBASEoJnnnkGlZXKNU2y1rUKsStCPCSW8iKSa0w38YOYrJPW1wPXgoKCgppeBCaTqaZPQVlZmbOXRqR5ekmHl+5TtjcKUJWNQqQVO/4fG86r3YLPjtgcQHnjwTgGUEiI6EHsvoJLsufe95NYzwbRvhZq0Kyp2GH851aUpxItf+br5YHeEYGy5nYWvaTDAMHAiNxqXrtPXsR1wStjtBJ0Auyb7UTalPJvZct4STrg9Yd6KDonkStyahBl9OjRqKysxLZt27Bv3z7ExMRg9OjRKCqqunrAZDIhOTkZRqMRu3btwoYNG7B+/fqamtzO1FiwkPTgqGCWOCCS6dG+bYTHWlEqV1PS0tIQFxeHefPmoaysrKZPwfffK5++S+SO/tC9JZr7KlvSoTobhUgr2HBevSat24N1O09Zff9GEpC3NAlJ3cKVWxS5NB3EPrvuOH5RVlDAZLbg2+NiFz9p6eOz3PJUcoiWP7s7roWmzhx6tBYL+Ihm+VTLEvz3beKpnaATYN9sJ9Iek9mCj7MbLu8mxxsPddfUHkLkLE4Loly4cAHHjx9HSkoKunXrhvbt22P58uW4du0aDh8+DAD44osvcPToUbz//vuIjY3FqFGjsGjRIqxevRpGo/OuTjGZLfha8A1g7zbaeXEmUguDh4T4Nv5CY4uuuPabxfXr18NisdxyGzRokLOXRuQyvn12mOJzpn58SPE5ieypuuG8p976OQpLb6DDnM1WNQOmW/VfvhXbc63PuPX3knB8aTIPRkiWBMEqCmUVldibL5ZZAlT19xAp4QQACZHaKdVbXZ5KhNwMetGyZi0DfGTN62yi/Vvk9nmxQOy1p3/7IE3ti/bMdiLtWZmZq+h8ax7ujpFdwhSdk8hVOS2IEhQUhI4dO+Ldd9/F1atXUVlZib///e8ICQlBjx5VaWRZWVno2rUrmjdvXnO/xMRElJaW4siRI85aOnafvIiKSrEXJy3V2iRSk54RYh/g0n84xzeLRGQTg4eEPw+MUHTOTw4Ucm8izdFLOuQuSUZLf7Erq+tiNFf1SdmU3XBjaqqbyWxBx+c248xl6y8UaelnQPb8UQquitxFn8ggeDcSOyYouiLWxBsQ7+/hY9Brqhy2PctTuWL5M8B+fXdEm8X3uCNA1rzOZs9sJ9IWk9mCVdvzhMc3qidWmNg5GHlLkxhAIZLBaY3ldTodvvzyS4wdOxZNmzaFJEkICQlBRkYGAgKqXtSKiopqBVAA1Px/dcmvulRUVKCi4rcX3NLShhtUy7ErT/wKEi3V2iRSE9FSAuWVZk02lycidUlNigYA/P0b2/oOVDNbgF3HL2BAR9t6TRA5w46UoXhs/V5sy/nZ6jmmbczGxwdOY+2kPgquzPV9dvAspv/jgE1zDOkYxH93sppe0iGpSyj+c6DhcjEXBHt2AMCFX8TGjuoSqqksAaCqPFXGkeIGx8kpT2UyW7A9V2wP1tg/l6y+O1NkzHvm0jWhcYGNtXWha3W2k0gmV9bJC/xc7MJWZuYK5ltVObJoFPSSDruOX8B/DpzBNaMJvdoE4tG+bdhEnsgKiv/VpKSkQKfT1XvLycmBxWLBk08+iZCQEHz77bfYu3cvxo4dizFjxuDcuXM2rWHZsmXw8/OrubVq1UqhR1dFNG3Zu5GkqVqbRGoiWkoAAHbmWX/IQ0RULTUpGj8uHoXmvnUfcgR46dG1ha/wfPM3HVZqaUQOp1SflP7LMhVaket7bP1emwMor4+PZQCFbBbqL3YhoOhhOCCeLdFc8Kp7NREtOyV6yA9UV78Q66+mpfJngPjFcl/l/Cyc1WsyW/DxAbEMyMsay9yxZ7YTqc91ownP/PsAus37HO3nbEbcwi+Q8p9DKCuvlJWF0jbYBwYPqer50zEYr46Pw5uP9MSUgZEMoBBZSfFMlNmzZ2PixIn1jomMjMS2bduwadMmXLp0Cb6+VQcSb7zxBjIzM7FhwwakpKQgNDQUe/furXXf4uKqKzxCQ0NvO39qaipmzZpV8/+lpaWKBVJMZgsO/HRJaGyXcF/NXUVDpBZ9IoPgoQNEKud9J6MeMxFRfQweEvbMGY6y8ko8/dEBFFy6jjsCvPHK/XFo4uWBnScu4KG39wjNlffzNRgrzfygQpo1JiYcSV3D0G5OuqwrH2925ooRsfM/Z2mpBvT/21acuWR9+S4JwPGlSfzsQYqwCP7BnzhfJjznyZ/Fxuo0+BQWPZT/5EAh0sZ0Fvo7FW2S7uUhaar8GVB1sdzr2080OE5OxYG9+SX4pVys547cXitqYI9sJ1KfSev23pKBdunaDWz87jQ2fnda1lzzR3dRcmlEBDsEUYKDgxEc3HDpimvXqq7CkKTaBwuSJMFsrrriIiEhAUuWLMH58+cREhICAMjMzISvry+io6NvO7enpyc8Pe2Torn75EWhQ10A6MUsFCKr6SUd4loH4LtTDQctD565ApPZwoMDIlJMEy8PvPVor1u+3icyCI0k4IbYxaFI/fgQFo/tirRPD2HLD0W4fsOMJl6NkNg5FPPGdIa3YDNaImfRSzrkL09G9NzPcU3wqujfu1xuRvs5m5GzmIf8dYlbsAWXrldafX8vDyBncbKCKyJ3J3oQm5V3Ueg9uMlswY4TYpnjon0t1CRQsA9qaXkl9uaXCGXcizZJHxQVrLl9tU9kEDw9JKFMG9HyVKI9dwBtlly3R7YTqUvX+VvwS7n17wVu5iEBfVnWjUhxTrs0MiEhAQEBAXj00Udx8OBB/Pjjj3jmmWeQn5+P5OSqDwEjRoxAdHQ0JkyYgIMHD2LLli2YO3cunnzySbsFSRoipx9Kv7asg05kC9FyeEaThU30iMgh9JIOU+9sKzz+P/sL0SktA//6/ixKK8y4Yf7tirJOaRmYvF4sq4XI2Y4uHmVTw/kbbDh/C5PZgg5zNtsUQPH3khhA0YAlS5agb9++8PHxgb+/v9B9LBYL0tLSEBYWBm9vbwwbNgzHjx+370J/1aypvKBAQ/bml6CsQiwI20wwIKEmoo2/AaDoynWhca7aJB2oei81WLBnnGh5KtGeO75eHposuS4n20m0BBqpR/cFGYoFUADgL3e201xwlUgLnBZEadasGTIyMlBWVoYhQ4agZ8+e2LFjB/73v/8hJiYGAKDX67Fp0ybo9XokJCTg4YcfxiOPPIKFCxc6a9kovCT2pseg12kurZZIbfq2Fb96IuukeICTiMgWM4d3VGyurTkXMHDFVsXmI7KnHSlDMSTKtouEpm3MxmPrdiu0Iu367OBZtJ2TDqN1yT0AgJZ+BpZJ0wij0Yhx48Zh6tSpwvdZsWIFXnvtNaxZswZ79uxB48aNkZiYiPJy68u+iVI6KODqWQK9IwLRxFPsaOVCmdhhv6s2Sa8WJxj88RMMJon23EloG6TJw2W52U6kHZPWZqHkulgpOhGSDpg5vINi8xHRbxQv5yVHz549sWXLlnrHtG7dGunp6Q5aUcOuG8Wiw4OjQjT54kykJn0ig2DQA0aB9xS84IaIHEUv6ZAYHYItR88rMl9BSTkeW78Xayf2VmQ+IntaO7E3Pjt41qYG6NtyL6Lf0i+wc84IBVemHY+t34ttOWKljW5nSMcgNpDXkAULFgAA1q9fLzTeYrHg1Vdfxdy5c3HXXXcBAN599100b94c//3vfzF+/Hh7LRXAb0EBkewRkaCAq2cJ6CUd+rcLFupZcfn6jQbHuHKT9Gql5Q3/OwDAgdNi/WhFe+60C2kiNE5t7JHtRM63KbsQ239UNug1bRCzUIjshZ1OZTCZLfjqR7EPPD1bay+tlkht9JIOo7uFCY0tumL/q/KIiKo90jdC0fm25fyMzw6eVXROInsZExOOvKVJ8LShpU9h6Q1EPbdZuUVpRP/lW20OoLw+PpYBFBeXn5+PoqIiDBs2rOZrfn5+iI+PR1ZW1m3vV1FRgdLS0lo3a1QHBUSIBAVcPUsAACKDxQ7nT5xv+LDf1ZukA4AOYr/nr3J+brA8lav33AHsk+1EzmUyW/DUR9mKzsksFCL7YhBFht0nL6JCsKu8Fmu5EqlRmL+P0Lj0H86x/isROUyfyCDoFT7neeqjA9zHSDP0kg65S5LRws/697zlJqBNyma3eN6bzBZ0fG4zzly2/qIPgwTkLU3C6NgWCq6M1KioqAgA0Lx581pfb968ec336rJs2TL4+fnV3Fq1amX1GkSDAhaBP19XzxIAgAAfsWBGVt7FBvc8Vy9/BlQFzESUV5ob7H3p6j13AOUDm+R8u05cgODxorBX7o/VbCCaSAsYRJFBTlN5rb6ZIVIb0auURN5gExEpRS/pcFdMuKJzmszAyswfFZ2TyN52pg5D5/CmNs3h6g3nMw6fQ9s56aiwoeR5uG8j/Lg0mYcjKpKSkgKdTlfvLScnx6FrSk1NxZUrV2pup0+ftnou0V4UDY1zhywBAGjWVLmeFa5e/gyouhjF00PsOKqh3pfuEHQClM12Iueb/+kRRefrEu6Lu3iRBZFdMYgig2hTee9GkmbfzBCpjehVSgCwM8+28hhERHIsvy9G8TnXfJPnFlflk2vZPGMghkaF2DSHqzacTz90Dk+8v9+mOTqHNsYuN+0fo2azZ8/GsWPH6r1FRkZaNXdoaCgAoLi4do+N4uLimu/VxdPTE76+vrVu1lKqZ4U7ZAkAyvasKLkmFkTRcvkzvaTD4I5imRUNvS1yh6ATIJ7t9M2PDZdAI+cyVpqRd+GqYvM1bqTHphkDFJuPiOrGIIoMhZeuCY3rEu6r2TczRGrTJzIIjQR3qrM2lMggIpLL4CFhZBfbDo5/z2iyMKuONOmdib2w6oE4m+aobjjvKv53oBB/+dC2AMrQqGbY/NQgZRZEigoODkZUVFS9N4PBun4VERERCA0NxdatW2u+Vlpaij179iAhIUGph1AvpXpWuEuWgJI9K/adEmum7t3IhsZUKhB3h1gf2Yayndyh5w4gnu10/QYrNKhd6scHFZtLD+DIopGKzUdEt8cgiiCT2YKDZ64Ije2l4asbiNRGL+kwRPDq1us3bKiTQURkhdUP9lR8zhVbjik+J5EjKNVwvsMc7fdJeWz9Xsy0sWHs6+Nj8c7EeGUWRE5VUFCA7OxsFBQUwGQyITs7G9nZ2Sgr+63sTlRUFD755BMAgE6nw1NPPYXFixfj008/xQ8//IBHHnkE4eHhGDt2rEPWrFTPCnfJEtBLOvRr20xobEk9h/4mswXZpy8LzRPuL579okZKZTu5Q88dQF62U0Ml0Mh5TGYLPt5/VpG5Wvg1Qt7yZEXmIqKGMYgiaPfJizCaxD7M9WsrlpZKRGJ6thH7EMfUZSJyNL2kw5qHuys658EzpTBWipU+IVKb6obzLW043DOatd0npf/yrdiWY32JUTaQdz1paWmIi4vDvHnzUFZWhri4OMTFxeH777+vGZObm4srV367aO/ZZ5/F9OnT8fjjj6NXr14oKytDRkYGvLwcc3DeJzIIBr3YVfv1ldR1h9JU1bwNHkLj6ss0cadzByWynUxmC7bnnheaR8s9d4CqbCcfg9gRHj8Sq9fKzFzI+fUcWzgS6yb0RMdgbzSSAE+9DrGt/HAwbQR2prLUJ5EjMYgiSLSpvJeHhD4yejgQUcOYukxEajayS5jigZTUjw8pOh+Ro+1IGYohUbYd8GmtT4rJbEHH5zbjjA3lRVuwgbxLWr9+PSwWyy23QYMG1YyxWCyYOHFizf/rdDosXLgQRUVFKC8vx5dffokOHTo4bM16SYfYVv5CY+srqXtO8O9B66WpAKBFgFg5skNnrtw2KOBO5w5KZDvtPnkRFZViR9Ja7rkDVP1NjuzcXGhs0RXtl7lu06YNdDpdrdvy5cudvSwhJrMFXx87j4fe2o0xq77F3E9+wHWjCSazBau25wnPE9PSF94GPQZ3bo4ts4fg+NJk5C5Jwn+f7A8/H20HBYm0iEEUQXvzS4TGdWvpxw89RAqTk7rM5vJE5Awju4Qhb2kS2gT53HZM22bitd7/l32WmXWkeWsn9lakT0r/ZZkKrch+Pjt4Fm3npKPChsqiQzoGYScbyJOK9Ggj1rOivpK6142VQnOEabw0FQD0FSznVV9QoPBS/U3nq7nCuYMS2U5ZMi6g03LPnWph/rd/n3mzL44WucT7yIULF+LcuXM1t+nTpzt7SQ36X3Yh2j+Xjkc3fIedeRfxQ2Ep3t9TgE5pGeg273NZWSjPJnay2zqJSD4GUQSYzBYc+EmsuVuYn/bf/BGpTe+IQHh6iL3B/k4w4ElEpDS9pMNXzwzG4fmJGNqxGYKbGNDS3xvPJnbEj4tH4XMZzaErzWwwT66huk+KLUd9Z64YETv/c8XWpLTH1u/F9H8csGmO18fHYu2kPgqtiEgZgT5iV+7frqSuyWzBVz+KXeAU6GOQtTY1UiIoIBp0Eg1wqZle0iGmpZ/Q2NsFlyyCR9JNPPWa7rlTTbQEWlmFSfhCYDVr2rQpQkNDa26NGzd29pLqNWbVt5i5Mfu25dSu3hAPoRj0Os1nmxG5GgZRBOw+eRGCGaLCKbxEJE4v6dCtpb/Q2IP1pMcTETlCEy8PvDMpHt/NHY4dKUPwl8HtYPCQYPCQENvSV3ieFVuOVdX6PlKMkS9vR9Rz6eicloFJ6/airFzskIVIDfSSDvnLk+HjYf1Hj8vlZrRXYcP5/n+zrf+JBPY/IfWytaSuO5VaAmwPCrhb0AkAWgSIZVacu015qnOXrwndf0R0qOYzdwDxEmgAUHRFLKtJzZYvX46goCDExcXhhRdeQGWlet//DvzbVvxQWKrYfE8MbOsSz1kiV8IgigDRuqSA9pu7EamV6JVDRhOv3iYi9XpmpHha/sEzpWg3Jx2T3vseOeevodxkwVWjCdtzf0aX+VuQ9Op2O66USHlHF4+yqeH8DZU1nI9bsAVnLllfd95DB5xczv4npF62ltSV8znaFUotAbYFBdwt6ATY1kfGZLZg06FzQvcPdZGKIX0ig4QrNFwoq7DzauxrxowZ2LhxI7Zv344///nPWLp0KZ599tnbjq+oqEBpaWmtm6M8tm43Cmx4P/B7kg6YOdxxPbCISAyDKAJE0yCZbkdkP6I1hgH2RSEi9eoTGQTBz74AUG+RiqNF19Dxuc02r4nIkVyh4bzJbEGHOZtx6br1V8R6ewAnliUruCoi5fWOCIRXI7Ejg7qay4v29/BuJLlEqSXAtqCAOwadbOkjs/vkRRgF+1C5SqxaL+kwqIPYa+j3giXpHSklJeWWZvG/v+Xk5AAAZs2ahUGDBqFbt2544okn8NJLL2HVqlWoqKg7OLRs2TL4+fnV3Fq1auWQx7QpuxDbcpW9iHPaoHa8wIJIhRhEaYDJbMG+U2IvPjEu0NyNSK3kHDxuOVJk38UQEVlJL+lwV1y4YvNVmIAei9TfdJvoZko1nO+39AuFViSuuoG80Wz9HC18G+HYYgZQSP30kg53thc75K6rubxof4+BHYJd5nO0LUEBdww62dJHRk7QKSFS/II8tfM2eAiN255zXnUlMGfPno1jx47Ve4uMjKzzvvHx8aisrMSpU6fq/H5qaiquXLlSczt9+rQdH0kVk9mCGRuzFZ2TWShE6sUgSgN2nbgA0c9IvVzkjQyRGuklHeJaizVQzPv5GoyVNpxuqMSpU6cwefJkREREwNvbG23btsW8efNgNBqdvTQissGye2IUne/iVSMWfHpE0TmJ7K264byn3vo5CktvoIMD+6Qo0UB+SMcg7JwzQqEVEdlfzzZilRZ+31xeTn+PnoLv8bXAlqBA4SWx/h5dwn1dJugkp4/Md7+rECIadHK1iiGi2U5qLHMdHByMqKioem8GQ939frKzsyFJEkJCQur8vqenJ3x9fWvd7G1lZq7weaGoV+6PdZm/byJXwyBKA1Zt+1F4LPuhENmXnCuuNuzKt+NKHCMnJwdmsxl///vfceTIEbzyyitYs2YN5syZ4+ylEZENDB4S4tsoe2C0btcplwgek3vRSzrkLklGCz/ra/sbf+2Tkn7orIIru1X/5bY1kAeA18fHYu2kPgqtiMgxrG0u7479PQDrgwImswUHz1wRup+rXbwp2kfm4O9KoFksYs8vV6sY4g5lrrOysvDqq6/i4MGDOHnyJD744AM8/fTTePjhhxEQoI6gq8lswarteYrOGRHkg7tiWyg6JxEph0GUepjMFuw9dVlorF6CS13dQKRGct4wfnbQvocpjjBy5EisW7cOI0aMQGRkJP7whz/gr3/9Kz7++GNnL42IbPTen5Q/SJ3wjvN6RBDZYmfqMHQOb2rTHH/58AAWbTqs0Ip+YzJb0PG5zThTR78HUQYJyFuahNE8GCENsra5vDv296hmTVCgqr+HWFDA1S7etDazoryOEnJ16eliQSc5Za5Fs3XUxtPTExs3bsSdd96Jzp07Y8mSJXj66afx5ptvOntpNVZm5tbbu9AaX84epPCMRKQkBlHqsTIzV3hs91b+LnV1A5Ea9YkMEm4KePhsqepqwCrhypUrCAx0rQ8CRO7IHtkoe/IvMRuFNGvzjIEYGlV3iQ5R7+z4CZPWKhdMTD90Dm3npKNCsHFxXcJ9G+HHpcn8nECa1TsiEJ6CJ7Y3Z1bs/V3ppdtxpf4e1awJCogGnbw8JJe7eNOazAo55eICfeouD6VVekmH2Dv8hcaevazNIEr37t2xe/duXL58GdevX8fRo0eRmpoKT091ZK2ZzBb839fKZqGsebg73ysQqRyDKLchd1OcMYSNn4jsTS/p0EPwDaPZAuw6Ln4FnBacOHECq1atwp///OfbjqmoqEBpaWmtGxGpkz2yUVL+c1DxOYkc5Z2JvWxuOL/9R2Uazi/adBR/+XC/TXN0Dm2MXex/Qhqnl3To1tJfaGx1ZoXJbMGBny4J3ceV+ntUsyYoIBp06uZipakAeZkV1YE6dy0XV62llSXQSBm7T17EDYWuW5JQFUAZ2SVMmQmJyG4YRLkNOZuipAP6thd/o0RE1usdKX7l1V//k22/hdggJSUFOp2u3ltOTk6t+xQWFmLkyJEYN24cpkyZctu5ly1bBj8/v5pbq1at7P1wiMhKBg8Jj/ZV9m/0fwfP8sMyaZoaGs5PWrcH7+ywrbfa0Khm2PzUIJvmIFIL0UyR6syK3ScvQvB82+X6ewDyyy2ZzBbsOyUWdArzEy+vphV6SYe41mLZudVBgXdl9L90tXJxgLaby7uCFzKOyRo/e0R7hDb1gA6ADlUZZdFhTbH20V44vjSJARQijWAQ5Tae+/iQ8Nged7CUF5GjyLmyq7jUqMreKLNnz8axY8fqvUVGRtaMP3v2LAYPHoy+ffs2WAc2NTUVV65cqbmdPn3a3g+HiGyw4A/dEOCl3Nsxkxn8sEyaV91wvqW/9YeF1Q3nN2UXyrpf/+VbsT3XtkzW18fH4p2J8TbNQaQmcjMr3ss6JTze1fp7APLLLe06cQGiF7WLHp5rjZxA3a7jF/Blznmh8Qa965WLA9yjubxaGSvNyD4jXu1hxuB2mD6kA3Y/l4j85cnIX56MnMWjkD5zIIZ0CuFZIpGGeDh7AWp03WjCqRLx2pEs5UXkOH0ig9BIgnCm2MyNB5DUNUxVb06Cg4MRHCz2gbGwsBCDBw9Gjx49sG7dOkhS/Yetnp6eqqkVS0RiDswfhajnP0e5QnUBNmTlox8zZMkF7EgZisfW78W2HOsPgKZtzMbHB05j7aT6y+eZzBZEP29b/xODBBxbnKSq9xxESqjOrBDJLsk4fA6nBT9LG/Q6l+vvUa1lgA++/+lyg+MOnL6M17b+KDyvKwadgKqgwOrtYuXU/7m/ACbBt0xRoU1cck+W8zf5nWCpOPrNdaMJz//vIDZln0O5qerqc1/vRhjZJRTXKiqF59EBmDmc54VEroKZKHXouzxTeCxLeRE5ll7SYeqdbYXHmy3AdBtrmjtLYWEhBg0ahDvuuAMvvvgifv75ZxQVFaGoqMjZSyMiheUsGoUu4b63/X5kkPgV+ZlHz7OkF7mMtRN729wnZVtu/X1SPjt41uYG8i3YQJ5cmJxySycvXBe+2CnGBft7VBPNGKk0A/sEgi0AoJfgskEnOSXQvhVsKA9UlYh0RXL+Jg+cvsz3hTJMXv8dOqVl4N/7qgIoAGAGcPn6DWz87jQ+PXROeK57urdw2T2OyB0xiPI7n+4/g0vXxD9B3R3HTZHI0WYO7yhrfPrhIhgrFer85kCZmZk4ceIEtm7dipYtWyIsLKzmRkSuZ9OMATg8PxFDOgTBz8sDgT6NML5XKxxbOBKZs4cIv2mzAFiZKX5VK5HaVfdJsaFNCgpLb6DT3M23fP2x9Xsx/R8HbJgZGNIxCDvZQJ5cnD1KIrliP5RqcsotiX5K6d7KdcuIywkKXL4ufl7zaN8Ia5ekeqJ/k5VmYNdx28pUuos7V2zDVsFScSKW3dNNsbmIyPkYRLmJyWzBzH8elHUfbopEjqeXdLgnVt5VRRPe2W2n1djPxIkTYbFY6rwRkWtq4uWBtY/1wcH5idifNgLL7+0Gb4MeekmHu7uL73trvsnjVYfkUvSSDnnLk+HTyPqPL9crgciU3xrO91++1aZSYUBV/5OGSoURuQI5QQFRrlqaCqjKrFA63uHqZcSVDtS1DfaBwcN1j7zk/E3O33TYjitxDY+t242fZJT1b4irP/+I3BH/om+yMjMXco4berfx56ZI5CTL74uRNX5P/iVNZqMQEVVbdo/4vmc0WdhgnlzS0UWjbGo4b0ZVw/kOczbjzOVyq+eRAOQtTcLo2BZWz0GkJX0ig6BX8KOvK/dDAaoCvz1b+ys2nzuUEVc6UJfYOVTR+dRGTqAu7+dr/Cxcj03ZhdiWq+z75vmjuyg6HxE5HyMAvzKZLVgl2Mis2vt/SrDTaoioIQYPCUldmsu6jxazUYiIqhk8JLQLbiw8fuK6PXj47d34Opc9Usi17EgZiiFRtl3BbrThLMnbAzi5nP1PyL3oJR2GRYUoNt/gqBCX/xuarmDmSJdwX5f/91I6UOfKmU6A/EDdI+/ssd9iNMxktmDGxmxF5/SQdC4f9CRyRwyi/EpuFsqozs2ZhULkZKse7AE5HyWYjUJEWjdvTGfhsTfMwI4TF/Houu8QnZaBjMPijTDVZvXq1WjTpg28vLwQHx+PvXv3OntJ5GRKNJy3RgvfRji2ONnhP5dIDR5RsL/EI33aKDaXWvVt10yxAxdXbZB+MyUDdXoJLp3pVE1OoG53fgk/C9dhZWaucF8iUS/9Mcblg55E7ohRAFRFnv/va3lZKK8/1MNOqyEiUXpJh1XjY2XdJ+U/8voeERGpibUHMhWVZjzx/n5NBlI++ugjzJo1C/PmzcP+/fsRExODxMREnD+vXONP0qbqhvOetnScl4EN5Mnd9YkMgocC54IekmuX8qqml3To2cZfkblcuUH6zZQK1N0VE+4Wh9hy3xe+l3XKXkvRJJPZgtVfyTsLbEhEkA/uYqlPIpfEIAqA3Scv4oaM0POMwe3c4gWZSAtGx7ZA+2Af4fH/O3iWZW2ISLPkNpj/vfmfHtXcHvjyyy9jypQpmDRpEqKjo7FmzRr4+Phg7dq1zl4aqYBe0iF3SbJNfVJEsIE8UdXf211xtmdE3BXrHgfcgDIlvZo3NbhNFYw+kUFopMBDXX6vvP6ZWqWXdBgeLZ6981PJNTuuRnt2nbgAk8Jvi7+cPUjZCYlINdzjlbgBu/IuCI+VdMDM4crVNiUi222eeafwWJMZbLZMRJomp8H87xWVlmNvfomCq7Evo9GIffv2YdiwYTVfkyQJw4YNQ1ZWlhNXRmqzI2UoBndUvv64QWIDeaKb2fIa9Nsc3RRYiTb0bdcMehvjRY/1d48sFKAqKDD1zrY2zdE22Mdtgk6AvOyd1oHiFx+6g//sP6PofGse7u42AWIid2S3V5YlS5agb9++8PHxgb+/f51jCgoKkJycDB8fH4SEhOCZZ55BZWVlrTFfffUVunfvDk9PT7Rr1w7r169XfK2Fl64Lj502iFkoRGpj8JAQ3yZAeHzWSfHAKRGR2sjd837v/C/lCq7Gvi5cuACTyYTmzZvX+nrz5s1RVFR0y/iKigqUlpbWupH7WDcpHpMVPGxs4dsIPy5lA3mim9n6GhQfEeBWB9x6SYcnB9kWFJjUL1Kh1WjDzOEdbbr//NFdFFqJNvSJDIKvV8N1LSUdMCGhjf0XpCFnZJwF1kdCVQBlZJcwReYjInWy27sXo9GIcePGYerUqXV+32QyITk5GUajEbt27cKGDRuwfv16pKWl1YzJz89HcnIyBg8ejOzsbDz11FP405/+hC1btii61nDB9H89s1CIVOu9P8kpscHDECLSNnl7Xm0hTe1b9siZli1bBj8/v5pbq1atnL0kcrDnR0fjjQe72zzP4A7sf0J0O7a8Br032f3K4s0c3tHqg5dRnZu7VdAJqAo83RNrXdm4Rnod+rZXPitRzfSSDivuazhDbMqACLd7LjWkhYxSoFEhPvD49b91ALw8JESHNcXaR3vh+NIkBlCI3IDddtAFCxbg6aefRteuXev8/hdffIGjR4/i/fffR2xsLEaNGoVFixZh9erVMBqNAIA1a9YgIiICL730Ejp16oRp06bhvvvuwyuvvKLoWvu1DRYaN31Ie16JRqRSBg8JyV2bNzwQQIIbNLIkItdm8JAwqd8dsu8X6GNA74hAO6zIPpo1awa9Xo/i4uJaXy8uLkZoaOgt41NTU3HlypWa2+nTpx21VFKRpG5hNjWcn9y/NdY95n4HvUSirH0NeqxfG7c8xNVLOrw2Plb2/SQArz/UQ/H1aMFygaBAXV7+Y6xbntmM7BKGNQ93h4/h1hc+nQ7488AIpCZFO2Fl6nZfd7GLbWYMboeMWYNxYnkyTi1PRv7yZOQsHoX0mQMxpFOIWz7niNyR097BZGVloWvXrrXKMyQmJqK0tBRHjhypGXNzDezqMUrXwO7TNgj+Po3qHeNj0GP60PaK/lwiUtZrD/SAZwMfzAJ8GqFPJIMoRKR988Z0RUt/g6z7LB7bRVMf9AwGA3r06IGtW7fWfM1sNmPr1q1ISEi4Zbynpyd8fX1r3cg9Wdtw/o0H4/C8m5WCIfsTKXX9exMnToROp6t1GzlypH0XKsO8MV3Rwq/+z9A3axXojbQxne24InUbHdsCQ6PkZUi8/qD79lcweEiYMqCNrPsMjQrBmBjrMlhcwcguYfhhfiLem9QbY2PDMSK6OZ5L6oTcRaMYQLmNvu2b1Rl4upnBQ2JFGiIC4MQgSlFRUZ31rau/V9+Y0tJSXL9++9qFcuth6yUdlt9Td8ZMtZf/GOO2b2CItEIv6bCygau8lt3TlX/LROQydqQMR7MmYoGUPw+MQFI37ZUamDVrFt566y1s2LABx44dw9SpU3H16lVMmjTJ2UsjDdiRMhRDohrOOvf8tYF8Ujf3PYAj+2mo1PXtjBw5EufOnau5/eMf/7DTCq2zM3UEmnp5NDguyMcD3z47xAErUrd3JsajWwux4L5WX7OV9FxyZwyPDhEa27VFU7wzsZedV6R+ekmHAR2D8er4OLz5SE9MGRjpltlfovSSDi//sf6sp9fGu2d2ExHdStZumpKScsvVML+/5eTk2Gutwqyph12d/hjq61nr66G+nmwQRaQhv/0t177yNMzPi3/LROSSvp87vN5DYh2qrq7X6lWI999/P1588UWkpaUhNjYW2dnZyMjIuOVCG6LbWTuxN1Y9EAf9bc5ABncIRC4byJMdNVTq+nY8PT0RGhpacwsIsL6hu738MD8RXeoJDAzpGIR9aYkOXJG6fTp9ACb3j7jt97X+mq20tx7phVUPxNV7cDW5f2t8Nn2gw9ZErqX6/KB509oXJTVvauD5ARHV0vBlIzeZPXs2Jk6cWO+YyMhIoblCQ0Oxd+/eWl+rrnddXeM6NDS0zhrYvr6+8Pb2vu3cqampmDVrVs3/l5aWCgdShkeHYm9+Cc7/Uo6Qpl7oHRHID1REGsO/ZSJyN2sn9sZ1owlpnx5C5pHzuGEyo3VQY/x1RBTu7Bis+f1v2rRpmDZtmrOXQRo2JiYcSV3DsCP3Z7y54yRKy28gpqU/nkuOhncDpTyInOWrr75CSEgIAgICMGTIECxevBhBQbcvS1tRUYGKioqa/2+oIoNSNk0fgLLySsz48HvsK7gCvaTDiM6hmDemM/++6vD86Gj8v5FReOvbE/hwTwHKKkxoFeCNWcNd4zVbadX79zfHzuOFzBwUXi5HU69GeDD+DvxpADMtyHY8PyAiEbKCKMHBwQgOFmvC3pCEhAQsWbIE58+fR0hIVYpmZmYmfH19ER0dXTMmPT291v0yMzPrrIF9M09PT3h6etY75nb0ko5Np4lcAP+WicjdeBv0eOG+OOA+Z6+ESJ30kg53dgrBnZ3EysMQOdPIkSNxzz33ICIiAnl5eZgzZw5GjRqFrKws6PV1ByaWLVuGBQsWOHilVZp4eWDtY32c8rO1yOAh4cnBHfDkYPZaEKGXdBjcuTkGd2YWKtkHzw+IqCF2C9kXFBQgOzsbBQUFMJlMyM7ORnZ2NsrKygAAI0aMQHR0NCZMmICDBw9iy5YtmDt3Lp588smaAMgTTzyBkydP4tlnn0VOTg7eeOMN/POf/8TTTz9tr2UTERERERER1cvepa7Hjx+PP/zhD+jatSvGjh2LTZs24bvvvsNXX3112/ukpqbiypUrNbfTp09b/fOJiIiI6DeyMlHkSEtLw4YNG2r+Py4uDgCwfft2DBo0CHq9Hps2bcLUqVORkJCAxo0b49FHH8XChQtr7hMREYHNmzfj6aefxsqVK9GyZUu8/fbbSExkTVUiIiIiIiJyDiVLXYuIjIxEs2bNcOLECQwdOrTOMbZUZCAiIiKi27NbEGX9+vVYv359vWNat259S7mu3xs0aBAOHDhg01osFgsAx9WEJSJtqt4jqvcMV8D9j4hEcQ8kIndlzf6nZKlrEWfOnMHFixcRFibe5Jh7IBGJ4HtAInJnonug3YIoavLLL78AgFBzeSKiX375BX5+fs5ehiK4/xGRXNwDichd2Wv/KygoQElJSa1S1wDQrl07NGnSBAAQFRWFZcuW4e6770ZZWRkWLFiAe++9F6GhocjLy8Ozzz6Ldu3ayarKwD2QiOTge0AicmcN7YE6iyuFmm/DbDbj7NmzaNq0KXQ6XYPjS0tL0apVK5w+fRq+vr4OWKHzudtjdrfHC/Axizxmi8WCX375BeHh4ZAku7WMcii5+x/gfs8Vd3u8AB8zH3PduAfyecLH7Jrc7fEC6tv/Jk6cWKvUdbXqUtcAoNPpsG7dOkycOBHXr1/H2LFjceDAAVy+fBnh4eEYMWIEFi1ahObNxRtrcw9smLs9Znd7vAAfsxr2QGfg5+CGudvjBfiY+ZjrJroHukUmiiRJaNmypez7+fr6us0TrJq7PWZ3e7wAH3NDXOXKm2rW7n+A+z1X3O3xAnzM7oJ7IN8DiuBjdn3u9ngB9ex/IqWub7620dvbG1u2bLH553IPFOduj9ndHi/Ax9wQvgf8jbs9V9zt8QJ8zO5C6T3QNULMRERERERERERERERECmMQhYiIiIiIiIiIiIiIqA4MotTB09MT8+bNg6enp7OX4jDu9pjd7fECfMwkzt3+3dzt8QJ8zO7CHR+zrdzx34yP2fW52+MF3PMxK8Ed/93c7TG72+MF+JhJnLv9u7nb4wX4mN2FvR6zWzSWJyIiIiIiIiIiIiIikouZKERERERERERERERERHVgEIWIiIiIiIiIiIiIiKgODKIQERERERERERERERHVgUEUIiIiIiIiIiIiIiKiOjCI8jtLlixB37594ePjA39//zrHFBQUIDk5GT4+PggJCcEzzzyDyspKxy7Ujtq0aQOdTlfrtnz5cmcvS1GrV69GmzZt4OXlhfj4eOzdu9fZS7Kb+fPn3/L7jIqKcvayFPXNN99gzJgxCA8Ph06nw3//+99a37dYLEhLS0NYWBi8vb0xbNgwHD9+3DmLVTHuf1W4B7oO7n/c/+TgHsj9z9VwD+QeKAf3QO6BroZ7IPdAUdz/qnAPdC2uvgc6Y/9jEOV3jEYjxo0bh6lTp9b5fZPJhOTkZBiNRuzatQsbNmzA+vXrkZaW5uCV2tfChQtx7ty5mtv06dOdvSTFfPTRR5g1axbmzZuH/fv3IyYmBomJiTh//ryzl2Y3nTt3rvX73LFjh7OXpKirV68iJiYGq1evrvP7K1aswGuvvYY1a9Zgz549aNy4MRITE1FeXu7glaob97/fcA90Hdz/uP+J4h5Yhfufa+EeyD1QFPfAKtwDXQv3QO6BIrj//YZ7oGtx5T3QKfufheq0bt06i5+f3y1fT09Pt0iSZCkqKqr52v/93/9ZfH19LRUVFQ5cof20bt3a8sorrzh7GXbTu3dvy5NPPlnz/yaTyRIeHm5ZtmyZE1dlP/PmzbPExMQ4exkOA8DyySef1Py/2Wy2hIaGWl544YWar12+fNni6elp+cc//uGEFaqfO+9/Fgv3QFfC/Y/7nzXceQ/k/udauAdyD7QG98BXnL0Mu+Ee6Nq4B9rOnfc/i4V7oKtxpz3QUfsfM1FkysrKQteuXdG8efOaryUmJqK0tBRHjhxx4sqUtXz5cgQFBSEuLg4vvPCCy6QpGo1G7Nu3D8OGDav5miRJGDZsGLKyspy4Mvs6fvw4wsPDERkZiYceeggFBQXOXpLD5Ofno6ioqNbv3M/PD/Hx8S79O7cHd9n/AO6BroT7H/c/pbjLHsj9z7VwD+QeqBTugdrGPZB7IMA90Frusv8B3ANdjbvugfba/zyUWJw7KSoqqrVxAqj5/6KiImcsSXEzZsxA9+7dERgYiF27diE1NRXnzp3Dyy+/7Oyl2ezChQswmUx1/g5zcnKctCr7io+Px/r169GxY0ecO3cOCxYswIABA3D48GE0bdrU2cuzu+q/y7p+567yN+so7rD/AdwDXQn3P+5/SnKHPZD7n2vhHsg9UEncA7WNeyD3wGrcA+Vzh/0P4B7oatx5D7TX/ucWmSgpKSm3NNP5/c1V/2iqyfk3mDVrFgYNGoRu3brhiSeewEsvvYRVq1ahoqLCyY+CrDFq1CiMGzcO3bp1Q2JiItLT03H58mX885//dPbSyAG4/1XhHuieuP8R90Duf+6MeyBxD+Qe6M64B7o37n9VuAe6L+6BynOLTJTZs2dj4sSJ9Y6JjIwUmis0NBR79+6t9bXi4uKa76mVLf8G8fHxqKysxKlTp9CxY0c7rM5xmjVrBr1eX/M7q1ZcXKzq35+S/P390aFDB5w4ccLZS3GI6t9rcXExwsLCar5eXFyM2NhYJ63Kcbj/VeEeWMXd90Duf6j5f3fY/wDugQD3v2ruvv8B3AOrcQ+sjXsg90A1//6UxD0QNf/vDnsg978q3AOrcA90rz3QXvufWwRRgoODERwcrMhcCQkJWLJkCc6fP4+QkBAAQGZmJnx9fREdHa3Iz7AHW/4NsrOzIUlSzePVMoPBgB49emDr1q0YO3YsAMBsNmPr1q2YNm2acxfnIGVlZcjLy8OECROcvRSHiIiIQGhoKLZu3VqzWZaWlmLPnj2YOnWqcxfnANz/qnAPrOLueyD3P/fa/wDugQD3v2ruvv8B3AMB7oG24B6obdwDuQcC7rUHcv+rwj2wCvdA99oD7bX/uUUQRY6CggKUlJSgoKAAJpMJ2dnZAIB27dqhSZMmGDFiBKKjozFhwgSsWLECRUVFmDt3Lp588kl4eno6d/EKyMrKwp49ezB48GA0bdoUWVlZePrpp/Hwww8jICDA2ctTxKxZs/Doo4+iZ8+e6N27N1599VVcvXoVkyZNcvbS7OKvf/0rxowZg9atW+Ps2bOYN28e9Ho9HnjgAWcvTTFlZWW1oun5+fnIzs5GYGAg7rjjDjz11FNYvHgx2rdvj4iICDz//PMIDw+vefGkKu6+/wHcA10N9z/uf3K4+x7I/c/1cA/kHigH90Duga6GeyD3QFHuvv8B3ANdkavvgU7Z/yxUy6OPPmoBcMtt+/btNWNOnTplGTVqlMXb29vSrFkzy+zZsy03btxw3qIVtG/fPkt8fLzFz8/P4uXlZenUqZNl6dKllvLycmcvTVGrVq2y3HHHHRaDwWDp3bu3Zffu3c5ekt3cf//9lrCwMIvBYLC0aNHCcv/991tOnDjh7GUpavv27XX+3T766KMWi8ViMZvNlueff97SvHlzi6enp2Xo0KGW3Nxc5y5ahdx9/7NYuAe6Gu5/3P/kcPc9kPuf6+EeyD1QDu6B3ANdDfdA7oGi3H3/s1i4B7oiV98DnbH/6SwWi8X6EAwREREREREREREREZFrkpy9ACIiIiIiIiIiIiIiIjViEIWIiIiIiIiIiIiIiKgODKIQERERERERERERERHVgUEUIiIiIiIiIiIiIiKiOjCIQkREREREREREREREVAcGUYiIiIiIiIiIiIiIiOrAIAoREREREREREREREVEdGEQhIiIiIiIiIiIiIiKqA4MoREREREREREREREREdWAQhYiIiIiIiIiIiIiIqA4MohAREREREREREREREdWBQRQiIiIiIiIiIiIiIqI6/H9/GORtQb1KbQAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Question 27\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Question 28\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Question 29\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# first, randomly select the other multiple choice options\n", - "np.random.seed(0)\n", - "fbench_hard_questions = []\n", - "for idx, _ in enumerate(fbench_hard):\n", - " mc_options = [idx]\n", - " # select 4 more random functions\n", - " for _ in range(4):\n", - " random_idx = np.random.randint(0, len(fbench_hard))\n", - " while random_idx in mc_options:\n", - " random_idx = np.random.randint(0, len(fbench_hard))\n", - " mc_options.append(random_idx)\n", - " # shuffle options\n", - " np.random.shuffle(mc_options)\n", - " # store the options and the correct answer\n", - " fbench_hard_questions.append((mc_options, idx))\n", - "\n", - "# plot the 5 functions for each question\n", - "# make a 1x5 grid of plots\n", - "for idx, (options, correct) in enumerate(fbench_hard_questions):\n", - " fig, axes = plt.subplots(1, 5, figsize=(20, 3))\n", - " print('Question ', idx)\n", - " for i, ax in enumerate(axes):\n", - " f, n = fbench_hard[options[i]]\n", - " y = f(x)\n", - " ax.scatter(x, y)\n", - " ax.set_title(n)\n", - " # if it is the correct one, set the title color to red\n", - " if options[i] == correct:\n", - " ax.title.set_color('red')\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Fit EBMs to the functions and convert the EBM graphs to text" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# run this for hard, otherwise standard\n", - "fbench = fbench_hard\n", - "fbench_questions = fbench_hard_questions" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.99, -9.79)\": -9.99, \"(-9.79, -9.59)\": -9.78, \"(-9.59, -9.38)\": -9.58, \"(-9.38, -9.19)\": -9.38, \"(-9.19, -8.97)\": -9.16, \"(-8.97, -8.76)\": -8.96, \"(-8.76, -8.53)\": -8.74, \"(-8.53, -8.29)\": -8.51, \"(-8.29, -8.07)\": -8.27, \"(-8.07, -7.84)\": -8.04, \"(-7.84, -7.65)\": -7.84, \"(-7.65, -7.43)\": -7.62, \"(-7.43, -7.19)\": -7.41, \"(-7.19, -6.99)\": -7.19, \"(-6.99, -6.79)\": -6.98, \"(-6.79, -6.58)\": -6.78, \"(-6.58, -6.38)\": -6.58, \"(-6.38, -6.15)\": -6.36, \"(-6.15, -5.94)\": -6.14, \"(-5.94, -5.74)\": -5.94, \"(-5.74, -5.53)\": -5.73, \"(-5.53, -5.31)\": -5.5, \"(-5.31, -5.1)\": -5.3, \"(-5.1, -4.91)\": -5.09, \"(-4.91, -4.69)\": -4.88, \"(-4.69, -4.48)\": -4.66, \"(-4.48, -4.28)\": -4.46, \"(-4.28, -4.08)\": -4.25, \"(-4.08, -3.86)\": -4.05, \"(-3.86, -3.63)\": -3.85, \"(-3.63, -3.43)\": -3.63, \"(-3.43, -3.2)\": -3.42, \"(-3.2, -3.0)\": -3.2, \"(-3.0, -2.78)\": -2.99, \"(-2.78, -2.52)\": -2.71, \"(-2.52, -2.32)\": -2.5, \"(-2.32, -2.07)\": -2.28, \"(-2.07, -1.84)\": -2.05, \"(-1.84, -1.63)\": -1.83, \"(-1.63, -1.43)\": -1.62, \"(-1.43, -1.25)\": -1.42, \"(-1.25, -1.02)\": -1.21, \"(-1.02, -0.84)\": -1.01, \"(-0.84, -0.62)\": -0.81, \"(-0.62, -0.4)\": -0.61, \"(-0.4, -0.16)\": -0.36, \"(-0.16, 0.03)\": -0.14, \"(0.03, 0.26)\": 0.06, \"(0.26, 0.46)\": 0.27, \"(0.46, 0.68)\": 0.48, \"(0.68, 0.88)\": 0.69, \"(0.88, 1.11)\": 0.9, \"(1.11, 1.33)\": 1.13, \"(1.33, 1.55)\": 1.35, \"(1.55, 1.76)\": 1.56, \"(1.76, 1.97)\": 1.77, \"(1.97, 2.16)\": 1.98, \"(2.16, 2.37)\": 2.18, \"(2.37, 2.59)\": 2.39, \"(2.59, 2.83)\": 2.61, \"(2.83, 3.06)\": 2.86, \"(3.06, 3.31)\": 3.09, \"(3.31, 3.53)\": 3.33, \"(3.53, 3.77)\": 3.56, \"(3.77, 3.95)\": 3.77, \"(3.95, 4.16)\": 3.97, \"(4.16, 4.38)\": 4.18, \"(4.38, 4.62)\": 4.42, \"(4.62, 4.85)\": 4.63, \"(4.85, 5.06)\": 4.88, \"(5.06, 5.29)\": 5.09, \"(5.29, 5.49)\": 5.31, \"(5.49, 5.7)\": 5.51, \"(5.7, 5.91)\": 5.71, \"(5.91, 6.1)\": 5.92, \"(6.1, 6.32)\": 6.12, \"(6.32, 6.53)\": 6.33, \"(6.53, 6.7)\": 6.53, \"(6.7, 6.91)\": 6.73, \"(6.91, 7.14)\": 6.94, \"(7.14, 7.37)\": 7.14, \"(7.37, 7.58)\": 7.38, \"(7.58, 7.79)\": 7.59, \"(7.79, 7.97)\": 7.79, \"(7.97, 8.2)\": 8.0, \"(8.2, 8.42)\": 8.21, \"(8.42, 8.66)\": 8.45, \"(8.66, 8.87)\": 8.67, \"(8.87, 9.09)\": 8.88, \"(9.09, 9.31)\": 9.12, \"(9.31, 9.52)\": 9.33, \"(9.52, 9.72)\": 9.53, \"(9.72, 9.94)\": 9.73, \"(9.94, 9.95)\": 9.93}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.98, -9.78)\": 24.95, \"(-9.78, -9.55)\": 24.53, \"(-9.55, -9.29)\": 23.98, \"(-9.29, -9.07)\": 23.53, \"(-9.07, -8.84)\": 23.11, \"(-8.84, -8.63)\": 22.67, \"(-8.63, -8.4)\": 22.22, \"(-8.4, -8.21)\": 21.79, \"(-8.21, -7.98)\": 21.39, \"(-7.98, -7.78)\": 20.95, \"(-7.78, -7.57)\": 20.52, \"(-7.57, -7.35)\": 20.1, \"(-7.35, -7.17)\": 19.7, \"(-7.17, -6.95)\": 19.28, \"(-6.95, -6.73)\": 18.83, \"(-6.73, -6.5)\": 18.38, \"(-6.5, -6.3)\": 17.97, \"(-6.3, -6.08)\": 17.57, \"(-6.08, -5.84)\": 17.14, \"(-5.84, -5.6)\": 16.6, \"(-5.6, -5.38)\": 16.16, \"(-5.38, -5.19)\": 15.76, \"(-5.19, -4.97)\": 15.36, \"(-4.97, -4.79)\": 14.94, \"(-4.79, -4.56)\": 14.53, \"(-4.56, -4.35)\": 14.11, \"(-4.35, -4.17)\": 13.71, \"(-4.17, -3.93)\": 13.3, \"(-3.93, -3.73)\": 12.84, \"(-3.73, -3.52)\": 12.42, \"(-3.52, -3.31)\": 11.99, \"(-3.31, -3.08)\": 11.59, \"(-3.08, -2.86)\": 11.13, \"(-2.86, -2.62)\": 10.68, \"(-2.62, -2.4)\": 10.18, \"(-2.4, -2.18)\": 9.74, \"(-2.18, -1.96)\": 9.33, \"(-1.96, -1.7)\": 8.85, \"(-1.7, -1.5)\": 8.39, \"(-1.5, -1.25)\": 7.97, \"(-1.25, -1.05)\": 7.48, \"(-1.05, -0.81)\": 7.07, \"(-0.81, -0.63)\": 6.62, \"(-0.63, -0.41)\": 6.2, \"(-0.41, -0.19)\": 5.79, \"(-0.19, 0.01)\": 5.38, \"(0.01, 0.23)\": 4.96, \"(0.23, 0.43)\": 4.53, \"(0.43, 0.65)\": 4.09, \"(0.65, 0.87)\": 3.68, \"(0.87, 1.08)\": 3.24, \"(1.08, 1.27)\": 2.83, \"(1.27, 1.49)\": 2.41, \"(1.49, 1.72)\": 1.99, \"(1.72, 1.96)\": 1.51, \"(1.96, 2.14)\": 1.08, \"(2.14, 2.38)\": 0.67, \"(2.38, 2.56)\": 0.26, \"(2.56, 2.77)\": -0.14, \"(2.77, 2.98)\": -0.54, \"(2.98, 3.19)\": -0.96, \"(3.19, 3.4)\": -1.39, \"(3.4, 3.62)\": -1.81, \"(3.62, 3.81)\": -2.23, \"(3.81, 4.03)\": -2.65, \"(4.03, 4.24)\": -3.07, \"(4.24, 4.46)\": -3.53, \"(4.46, 4.66)\": -3.93, \"(4.66, 4.86)\": -4.33, \"(4.86, 5.08)\": -4.75, \"(5.08, 5.29)\": -5.18, \"(5.29, 5.49)\": -5.58, \"(5.49, 5.68)\": -6.03, \"(5.68, 5.95)\": -6.46, \"(5.95, 6.15)\": -6.91, \"(6.15, 6.37)\": -7.31, \"(6.37, 6.59)\": -7.77, \"(6.59, 6.82)\": -8.22, \"(6.82, 7.01)\": -8.66, \"(7.01, 7.23)\": -9.05, \"(7.23, 7.45)\": -9.48, \"(7.45, 7.66)\": -9.93, \"(7.66, 7.9)\": -10.38, \"(7.9, 8.09)\": -10.79, \"(8.09, 8.3)\": -11.2, \"(8.3, 8.53)\": -11.64, \"(8.53, 8.73)\": -12.08, \"(8.73, 8.96)\": -12.51, \"(8.96, 9.17)\": -12.95, \"(9.17, 9.37)\": -13.35, \"(9.37, 9.58)\": -13.77, \"(9.58, 9.8)\": -14.19, \"(9.8, 9.97)\": -14.61}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.98, -9.93)\": 99.4, \"(-9.93, -9.87)\": 98.31, \"(-9.87, -9.81)\": 97.19, \"(-9.81, -9.76)\": 96.11, \"(-9.76, -9.7)\": 95.04, \"(-9.7, -9.65)\": 94.01, \"(-9.65, -9.58)\": 92.73, \"(-9.58, -9.51)\": 91.67, \"(-9.51, -9.47)\": 90.48, \"(-9.47, -9.43)\": 89.37, \"(-9.43, -9.34)\": 88.16, \"(-9.34, -9.28)\": 87.09, \"(-9.28, -9.23)\": 86.04, \"(-9.23, -9.15)\": 84.82, \"(-9.15, -9.1)\": 83.54, \"(-9.1, -9.02)\": 82.31, \"(-9.02, -8.92)\": 80.93, \"(-8.92, -8.87)\": 79.41, \"(-8.87, -8.78)\": 78.31, \"(-8.78, -8.71)\": 76.47, \"(-8.71, -8.62)\": 75.46, \"(-8.62, -8.54)\": 74.01, \"(-8.54, -8.48)\": 72.62, \"(-8.48, -8.42)\": 71.53, \"(-8.42, -8.32)\": 70.24, \"(-8.32, -8.27)\": 69.21, \"(-8.27, -8.2)\": 68.18, \"(-8.2, -8.12)\": 66.92, \"(-8.12, -8.05)\": 65.63, \"(-8.05, -7.97)\": 64.56, \"(-7.97, -7.89)\": 63.45, \"(-7.89, -7.83)\": 62.36, \"(-7.83, -7.77)\": 61.32, \"(-7.77, -7.71)\": 60.21, \"(-7.71, -7.62)\": 59.18, \"(-7.62, -7.56)\": 58.13, \"(-7.56, -7.47)\": 57.06, \"(-7.47, -7.41)\": 55.65, \"(-7.41, -7.33)\": 54.58, \"(-7.33, -7.25)\": 53.55, \"(-7.25, -7.18)\": 52.43, \"(-7.18, -7.12)\": 51.43, \"(-7.12, -7.04)\": 50.41, \"(-7.04, -6.95)\": 49.31, \"(-6.95, -6.88)\": 48.23, \"(-6.88, -6.79)\": 47.12, \"(-6.79, -6.72)\": 46.02, \"(-6.72, -6.63)\": 44.95, \"(-6.63, -6.55)\": 43.75, \"(-6.55, -6.45)\": 42.74, \"(-6.45, -6.35)\": 41.39, \"(-6.35, -6.24)\": 40.11, \"(-6.24, -6.17)\": 38.97, \"(-6.17, -6.06)\": 37.89, \"(-6.06, -5.95)\": 36.45, \"(-5.95, -5.85)\": 35.25, \"(-5.85, -5.77)\": 34.13, \"(-5.77, -5.66)\": 33.06, \"(-5.66, -5.56)\": 31.88, \"(-5.56, -5.45)\": 30.75, \"(-5.45, -5.34)\": 29.55, \"(-5.34, -5.24)\": 28.49, \"(-5.24, -5.15)\": 27.39, \"(-5.15, -5.01)\": 26.33, \"(-5.01, -4.92)\": 25.2, \"(-4.92, -4.79)\": 23.89, \"(-4.79, -4.67)\": 22.84, \"(-4.67, -4.54)\": 21.69, \"(-4.54, -4.43)\": 20.6, \"(-4.43, -4.31)\": 19.6, \"(-4.31, -4.2)\": 18.5, \"(-4.2, -4.07)\": 17.46, \"(-4.07, -3.93)\": 16.43, \"(-3.93, -3.8)\": 15.33, \"(-3.8, -3.64)\": 14.3, \"(-3.64, -3.51)\": 13.27, \"(-3.51, -3.34)\": 12.22, \"(-3.34, -3.15)\": 10.98, \"(-3.15, -2.98)\": 9.9, \"(-2.98, -2.79)\": 8.85, \"(-2.79, -2.58)\": 7.72, \"(-2.58, -2.37)\": 6.53, \"(-2.37, -2.14)\": 5.51, \"(-2.14, -1.86)\": 4.5, \"(-1.86, -1.54)\": 3.39, \"(-1.54, -1.11)\": 2.25, \"(-1.11, -0.39)\": 1.18, \"(-0.39, 1.09)\": 0.16, \"(1.09, 1.47)\": 1.17, \"(1.47, 1.76)\": 2.17, \"(1.76, 2.03)\": 3.19, \"(2.03, 2.27)\": 4.2, \"(2.27, 2.49)\": 5.22, \"(2.49, 2.7)\": 6.26, \"(2.7, 2.92)\": 7.5, \"(2.92, 3.08)\": 8.6, \"(3.08, 3.27)\": 9.65, \"(3.27, 3.43)\": 10.71, \"(3.43, 3.62)\": 12.0, \"(3.62, 3.78)\": 13.22, \"(3.78, 3.91)\": 14.3, \"(3.91, 4.04)\": 15.43, \"(4.04, 4.17)\": 16.43, \"(4.17, 4.3)\": 17.43, \"(4.3, 4.45)\": 18.5, \"(4.45, 4.62)\": 20.3, \"(4.62, 4.74)\": 21.54, \"(4.74, 4.85)\": 22.57, \"(4.85, 4.95)\": 23.58, \"(4.95, 5.06)\": 24.58, \"(5.06, 5.14)\": 25.64, \"(5.14, 5.26)\": 26.66, \"(5.26, 5.39)\": 27.87, \"(5.39, 5.48)\": 29.18, \"(5.48, 5.62)\": 30.42, \"(5.62, 5.73)\": 31.7, \"(5.73, 5.8)\": 32.8, \"(5.8, 5.9)\": 33.81, \"(5.9, 6.02)\": 34.97, \"(6.02, 6.14)\": 36.63, \"(6.14, 6.2)\": 37.66, \"(6.2, 6.29)\": 38.67, \"(6.29, 6.41)\": 39.71, \"(6.41, 6.55)\": 41.78, \"(6.55, 6.65)\": 42.94, \"(6.65, 6.75)\": 44.48, \"(6.75, 6.83)\": 45.59, \"(6.83, 6.91)\": 46.74, \"(6.91, 6.99)\": 47.92, \"(6.99, 7.08)\": 49.12, \"(7.08, 7.16)\": 50.33, \"(7.16, 7.23)\": 51.38, \"(7.23, 7.31)\": 52.48, \"(7.31, 7.38)\": 53.62, \"(7.38, 7.47)\": 54.74, \"(7.47, 7.55)\": 55.87, \"(7.55, 7.63)\": 57.06, \"(7.63, 7.68)\": 58.15, \"(7.68, 7.75)\": 59.17, \"(7.75, 7.84)\": 60.33, \"(7.84, 7.93)\": 61.95, \"(7.93, 8.05)\": 63.71, \"(8.05, 8.11)\": 64.79, \"(8.11, 8.18)\": 65.93, \"(8.18, 8.27)\": 67.71, \"(8.27, 8.37)\": 68.96, \"(8.37, 8.45)\": 70.29, \"(8.45, 8.51)\": 71.47, \"(8.51, 8.59)\": 72.6, \"(8.59, 8.62)\": 73.67, \"(8.62, 8.72)\": 74.69, \"(8.72, 8.78)\": 76.09, \"(8.78, 8.85)\": 77.31, \"(8.85, 8.89)\": 78.33, \"(8.89, 8.99)\": 79.44, \"(8.99, 9.06)\": 81.18, \"(9.06, 9.16)\": 82.62, \"(9.16, 9.24)\": 84.01, \"(9.24, 9.3)\": 85.56, \"(9.3, 9.38)\": 86.58, \"(9.38, 9.45)\": 88.34, \"(9.45, 9.53)\": 89.65, \"(9.53, 9.59)\": 91.14, \"(9.59, 9.64)\": 92.15, \"(9.64, 9.72)\": 93.3, \"(9.72, 9.78)\": 94.6, \"(9.78, 9.82)\": 95.66, \"(9.82, 9.89)\": 97.11, \"(9.89, 10.0)\": 98.32}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-10.0, -9.95)\": -200.0, \"(-9.95, -9.88)\": -197.6, \"(-9.88, -9.84)\": -195.0, \"(-9.84, -9.76)\": -192.9, \"(-9.76, -9.7)\": -189.9, \"(-9.7, -9.64)\": -187.2, \"(-9.64, -9.54)\": -184.0, \"(-9.54, -9.45)\": -181.6, \"(-9.45, -9.35)\": -176.4, \"(-9.35, -9.26)\": -173.7, \"(-9.26, -9.2)\": -171.5, \"(-9.2, -9.14)\": -169.0, \"(-9.14, -9.07)\": -166.8, \"(-9.07, -9.01)\": -164.7, \"(-9.01, -8.96)\": -162.0, \"(-8.96, -8.88)\": -159.7, \"(-8.88, -8.81)\": -157.6, \"(-8.81, -8.74)\": -154.6, \"(-8.74, -8.67)\": -152.6, \"(-8.67, -8.61)\": -149.9, \"(-8.61, -8.55)\": -147.7, \"(-8.55, -8.47)\": -145.6, \"(-8.47, -8.41)\": -143.1, \"(-8.41, -8.33)\": -140.6, \"(-8.33, -8.26)\": -138.6, \"(-8.26, -8.19)\": -136.4, \"(-8.19, -8.12)\": -133.7, \"(-8.12, -8.04)\": -131.5, \"(-8.04, -7.97)\": -129.3, \"(-7.97, -7.9)\": -126.9, \"(-7.9, -7.82)\": -124.1, \"(-7.82, -7.73)\": -122.0, \"(-7.73, -7.65)\": -118.8, \"(-7.65, -7.55)\": -116.1, \"(-7.55, -7.48)\": -113.6, \"(-7.48, -7.36)\": -110.7, \"(-7.36, -7.26)\": -107.9, \"(-7.26, -7.15)\": -104.8, \"(-7.15, -7.07)\": -102.1, \"(-7.07, -6.99)\": -99.7, \"(-6.99, -6.93)\": -97.5, \"(-6.93, -6.81)\": -95.2, \"(-6.81, -6.75)\": -92.7, \"(-6.75, -6.64)\": -90.1, \"(-6.64, -6.55)\": -87.6, \"(-6.55, -6.43)\": -85.4, \"(-6.43, -6.34)\": -82.2, \"(-6.34, -6.25)\": -80.0, \"(-6.25, -6.17)\": -77.9, \"(-6.17, -6.07)\": -75.7, \"(-6.07, -5.99)\": -73.6, \"(-5.99, -5.89)\": -71.5, \"(-5.89, -5.81)\": -69.4, \"(-5.81, -5.72)\": -67.2, \"(-5.72, -5.63)\": -65.1, \"(-5.63, -5.51)\": -63.1, \"(-5.51, -5.43)\": -60.8, \"(-5.43, -5.31)\": -58.5, \"(-5.31, -5.21)\": -56.2, \"(-5.21, -5.09)\": -53.9, \"(-5.09, -4.99)\": -51.9, \"(-4.99, -4.85)\": -49.4, \"(-4.85, -4.74)\": -46.8, \"(-4.74, -4.63)\": -44.7, \"(-4.63, -4.52)\": -42.7, \"(-4.52, -4.41)\": -40.6, \"(-4.41, -4.27)\": -38.3, \"(-4.27, -4.13)\": -36.3, \"(-4.13, -4.03)\": -34.2, \"(-4.03, -3.87)\": -32.2, \"(-3.87, -3.73)\": -29.9, \"(-3.73, -3.58)\": -27.7, \"(-3.58, -3.41)\": -25.6, \"(-3.41, -3.25)\": -23.3, \"(-3.25, -3.06)\": -20.7, \"(-3.06, -2.88)\": -18.4, \"(-2.88, -2.65)\": -16.2, \"(-2.65, -2.48)\": -14.1, \"(-2.48, -2.28)\": -12.0, \"(-2.28, -1.99)\": -10.0, \"(-1.99, -1.71)\": -7.9, \"(-1.71, -1.38)\": -5.8, \"(-1.38, -0.92)\": -3.8, \"(-0.92, 1.35)\": -1.7, \"(1.35, 1.68)\": -3.7, \"(1.68, 1.98)\": -5.8, \"(1.98, 2.2)\": -7.9, \"(2.2, 2.44)\": -10.0, \"(2.44, 2.65)\": -12.0, \"(2.65, 2.83)\": -14.1, \"(2.83, 3.03)\": -16.4, \"(3.03, 3.22)\": -18.5, \"(3.22, 3.38)\": -20.7, \"(3.38, 3.51)\": -23.0, \"(3.51, 3.68)\": -25.1, \"(3.68, 3.83)\": -27.2, \"(3.83, 3.99)\": -29.5, \"(3.99, 4.16)\": -32.3, \"(4.16, 4.27)\": -34.5, \"(4.27, 4.39)\": -36.6, \"(4.39, 4.53)\": -38.6, \"(4.53, 4.65)\": -41.2, \"(4.65, 4.79)\": -43.3, \"(4.79, 4.91)\": -46.4, \"(4.91, 5.02)\": -48.5, \"(5.02, 5.12)\": -50.7, \"(5.12, 5.25)\": -52.7, \"(5.25, 5.34)\": -54.9, \"(5.34, 5.44)\": -57.3, \"(5.44, 5.54)\": -59.5, \"(5.54, 5.64)\": -61.6, \"(5.64, 5.72)\": -63.8, \"(5.72, 5.83)\": -66.1, \"(5.83, 5.92)\": -68.2, \"(5.92, 6.03)\": -70.4, \"(6.03, 6.15)\": -73.7, \"(6.15, 6.24)\": -75.7, \"(6.24, 6.32)\": -77.9, \"(6.32, 6.41)\": -80.1, \"(6.41, 6.49)\": -82.6, \"(6.49, 6.6)\": -84.9, \"(6.6, 6.7)\": -87.7, \"(6.7, 6.78)\": -89.7, \"(6.78, 6.88)\": -92.4, \"(6.88, 6.95)\": -94.9, \"(6.95, 7.03)\": -97.0, \"(7.03, 7.1)\": -99.1, \"(7.1, 7.2)\": -101.6, \"(7.2, 7.28)\": -104.0, \"(7.28, 7.35)\": -106.2, \"(7.35, 7.43)\": -108.4, \"(7.43, 7.51)\": -110.9, \"(7.51, 7.58)\": -113.1, \"(7.58, 7.65)\": -115.2, \"(7.65, 7.71)\": -117.3, \"(7.71, 7.79)\": -119.4, \"(7.79, 7.87)\": -121.7, \"(7.87, 7.95)\": -124.2, \"(7.95, 8.04)\": -127.3, \"(8.04, 8.1)\": -129.5, \"(8.1, 8.17)\": -131.6, \"(8.17, 8.26)\": -134.0, \"(8.26, 8.33)\": -136.8, \"(8.33, 8.37)\": -139.0, \"(8.37, 8.46)\": -141.4, \"(8.46, 8.52)\": -143.8, \"(8.52, 8.6)\": -146.5, \"(8.6, 8.68)\": -148.5, \"(8.68, 8.75)\": -150.8, \"(8.75, 8.8)\": -154.1, \"(8.8, 8.92)\": -156.8, \"(8.92, 9.06)\": -161.9, \"(9.06, 9.15)\": -165.8, \"(9.15, 9.23)\": -168.3, \"(9.23, 9.29)\": -170.8, \"(9.29, 9.36)\": -173.4, \"(9.36, 9.42)\": -175.5, \"(9.42, 9.49)\": -178.0, \"(9.49, 9.54)\": -180.4, \"(9.54, 9.61)\": -182.9, \"(9.61, 9.66)\": -184.9, \"(9.66, 9.74)\": -187.4, \"(9.74, 9.83)\": -191.4, \"(9.83, 9.89)\": -193.6, \"(9.89, 9.97)\": -196.6}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-10.0, -9.94)\": 144.0, \"(-9.94, -9.85)\": 142.0, \"(-9.85, -9.77)\": 140.4, \"(-9.77, -9.66)\": 137.5, \"(-9.66, -9.58)\": 135.8, \"(-9.58, -9.51)\": 134.0, \"(-9.51, -9.41)\": 131.7, \"(-9.41, -9.35)\": 130.1, \"(-9.35, -9.27)\": 128.6, \"(-9.27, -9.18)\": 126.7, \"(-9.18, -9.09)\": 124.5, \"(-9.09, -9.01)\": 122.7, \"(-9.01, -8.93)\": 121.1, \"(-8.93, -8.84)\": 119.2, \"(-8.84, -8.76)\": 117.3, \"(-8.76, -8.69)\": 115.5, \"(-8.69, -8.59)\": 114.0, \"(-8.59, -8.52)\": 112.2, \"(-8.52, -8.42)\": 110.3, \"(-8.42, -8.35)\": 108.6, \"(-8.35, -8.29)\": 106.9, \"(-8.29, -8.22)\": 105.4, \"(-8.22, -8.11)\": 103.7, \"(-8.11, -8.03)\": 102.1, \"(-8.03, -7.92)\": 99.8, \"(-7.92, -7.86)\": 98.4, \"(-7.86, -7.76)\": 96.8, \"(-7.76, -7.67)\": 95.1, \"(-7.67, -7.56)\": 92.8, \"(-7.56, -7.48)\": 91.2, \"(-7.48, -7.4)\": 89.8, \"(-7.4, -7.32)\": 88.2, \"(-7.32, -7.23)\": 86.7, \"(-7.23, -7.13)\": 84.9, \"(-7.13, -7.06)\": 83.1, \"(-7.06, -6.96)\": 81.6, \"(-6.96, -6.88)\": 80.1, \"(-6.88, -6.78)\": 78.6, \"(-6.78, -6.71)\": 76.9, \"(-6.71, -6.6)\": 75.4, \"(-6.6, -6.53)\": 73.8, \"(-6.53, -6.42)\": 72.3, \"(-6.42, -6.32)\": 70.8, \"(-6.32, -6.25)\": 69.2, \"(-6.25, -6.12)\": 67.6, \"(-6.12, -6.03)\": 66.0, \"(-6.03, -5.94)\": 64.4, \"(-5.94, -5.82)\": 62.8, \"(-5.82, -5.71)\": 60.8, \"(-5.71, -5.61)\": 59.1, \"(-5.61, -5.48)\": 57.6, \"(-5.48, -5.41)\": 56.1, \"(-5.41, -5.29)\": 54.6, \"(-5.29, -5.18)\": 53.1, \"(-5.18, -5.08)\": 51.5, \"(-5.08, -4.96)\": 49.8, \"(-4.96, -4.87)\": 48.4, \"(-4.87, -4.76)\": 46.9, \"(-4.76, -4.62)\": 45.4, \"(-4.62, -4.47)\": 43.4, \"(-4.47, -4.36)\": 41.9, \"(-4.36, -4.23)\": 40.4, \"(-4.23, -4.14)\": 38.8, \"(-4.14, -3.99)\": 37.3, \"(-3.99, -3.85)\": 35.7, \"(-3.85, -3.68)\": 33.8, \"(-3.68, -3.54)\": 32.1, \"(-3.54, -3.42)\": 30.6, \"(-3.42, -3.26)\": 29.2, \"(-3.26, -3.12)\": 27.6, \"(-3.12, -2.97)\": 26.0, \"(-2.97, -2.79)\": 24.5, \"(-2.79, -2.62)\": 22.9, \"(-2.62, -2.45)\": 21.3, \"(-2.45, -2.29)\": 19.9, \"(-2.29, -2.12)\": 18.3, \"(-2.12, -1.93)\": 16.8, \"(-1.93, -1.72)\": 15.3, \"(-1.72, -1.52)\": 13.8, \"(-1.52, -1.29)\": 12.3, \"(-1.29, -1.05)\": 10.7, \"(-1.05, -0.8)\": 9.3, \"(-0.8, -0.51)\": 7.8, \"(-0.51, -0.22)\": 6.3, \"(-0.22, 0.2)\": 4.8, \"(0.2, 0.65)\": 3.3, \"(0.65, 1.31)\": 1.9, \"(1.31, 3.39)\": 0.4, \"(3.39, 3.82)\": 1.9, \"(3.82, 4.19)\": 3.4, \"(4.19, 4.51)\": 4.8, \"(4.51, 4.79)\": 6.3, \"(4.79, 5.04)\": 7.8, \"(5.04, 5.28)\": 9.3, \"(5.28, 5.5)\": 10.8, \"(5.5, 5.71)\": 12.4, \"(5.71, 5.92)\": 13.9, \"(5.92, 6.12)\": 15.4, \"(6.12, 6.29)\": 17.1, \"(6.29, 6.47)\": 18.5, \"(6.47, 6.63)\": 20.1, \"(6.63, 6.8)\": 21.5, \"(6.8, 6.96)\": 23.0, \"(6.96, 7.14)\": 24.8, \"(7.14, 7.3)\": 26.7, \"(7.3, 7.46)\": 28.3, \"(7.46, 7.6)\": 29.8, \"(7.6, 7.74)\": 31.5, \"(7.74, 7.87)\": 33.1, \"(7.87, 8.0)\": 34.5, \"(8.0, 8.13)\": 36.1, \"(8.13, 8.23)\": 37.7, \"(8.23, 8.37)\": 39.1, \"(8.37, 8.48)\": 40.7, \"(8.48, 8.6)\": 42.2, \"(8.6, 8.73)\": 43.7, \"(8.73, 8.83)\": 45.2, \"(8.83, 8.94)\": 46.9, \"(8.94, 9.06)\": 48.4, \"(9.06, 9.2)\": 50.2, \"(9.2, 9.28)\": 51.9, \"(9.28, 9.37)\": 53.3, \"(9.37, 9.52)\": 54.9, \"(9.52, 9.62)\": 56.6, \"(9.62, 9.72)\": 58.1, \"(9.72, 9.82)\": 59.7, \"(9.82, 9.92)\": 61.2, \"(9.92, 9.97)\": 62.9}\n", - "\n" - ] - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAigAAAGzCAYAAAAFROyYAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAABXYklEQVR4nO3deVhUZf8G8HtmYFhUQFBZFAVXNEQxFcGtV3FJcylbNCvtNc3CvV+LZZqlUdZruVRaubVYWba4kOWSS4IrIiLugivgyqbAMDPn94cv84aiPAfmzHp/rovr0pnvOXzHI8w95zzneVSSJEkgIiIisiFqazdAREREdDsGFCIiIrI5DChERERkcxhQiIiIyOYwoBAREZHNYUAhIiIim8OAQkRERDaHAYWIiIhsDgMKERER2RwGFCInMGfOHISFhcFoNFr0+w4dOhSPP/54lbc3Go0IDw/H7NmzzdiVeVy9ehU1atRAQkKCtVshckgMKEQOLj8/H++//z5effVVqNXm+ZGfPXs2Bg4cCH9/f6hUKrz11lsV1r366qtYvXo1Dh48eNd9hYSE3PW57777DufOncO4ceOq2bG4Y8eOYfLkyYiJiYG7uztUKhUyMzPvqPPz88Nzzz2HN99802K9ETkTBhQiB7d06VLo9XoMGzbMbPucNm0a9u7di8jIyHvWRUZGon379vjPf/5T7vE//vjjjlqDwYBNmzaVe+yDDz7A0KFD4e3tXf2mBSUlJWH+/PkoKChAy5Yt71k7duxYJCcnY8uWLRbqjsh5MKAQObhly5Zh4MCBcHd3N9s+MzIykJWVhW+++abS2scffxw///wzCgsLAQCFhYV4//330bt3b9OZiYMHDyI6OhpLly5F2fqlBw4cwMGDB6t1ieh2ISEhdz3bU2bgwIHIzc3FoUOHMHz48HvWtmzZEuHh4Vi+fLnZeiSiWxhQiBxYRkYGUlNTERsba3psxowZUKvV2Lx5c7naMWPGQKvV3vNyTJl7XZa5Xa9evXDjxg1s3LgRAFCzZk1s2bIFcXFxePjhh5GVlYWxY8di7ty5WLlyJVQqFQDg119/hVarRbdu3Uz7KioqQlhYGMLCwlBUVGR6/Nq1awgMDERMTAwMBoNwbxXx9fVFrVq1ZL2+tWvXggvDE5kXAwqRA0tMTAQAtGvXzvTYtGnT0LZtW4waNQoFBQUAbl1y+eKLLzB9+nS0adPGrD20atUKHh4e2LlzZ7nH1Wq1KYwAKPfnst7Dw8Ph6upqeszDwwMrVqzAyZMn8cYbb5gej4uLQ15eHpYvXw6NRmPW/itz//33Izc3F4cPH7bo9yVydAwoRA7s6NGjAIDQ0FDTY66urvjqq6+QlZWFKVOmIDc3F6NGjUL79u3x2muvmb0HFxcXBAcHIz09HcCtSzy9e/fGggULsHr1agQGBmLRokWYPHkyhg8fbjoTcfTo0XJ9l4mKisIrr7yCefPmYceOHfjpp5/w/fffIz4+Hs2bNzd7/5Vp3LgxAJheHxGZh4u1GyAi5Vy9ehUuLi6oWbNmucfDw8Mxc+ZMTJ06Fampqbhy5Qr+/PNPuLgo8yuhdu3auHLlCoBbl3imTJmCvn37mp5v06YNkpKSsGXLFtOZlKtXr6J27doV7u+tt97CunXrMGLECBQWFqJ79+6YMGFCuZqSkhLTGaIyRqMRN2/eNPVSpk6dOtV6bQDu2CcRVQ/PoBA5qZdffhlt2rTBnj17MGPGDLRq1arc89nZ2eW+/jnmQy5JkspdwvlnOCmj0WjQq1evO7ariFarxdKlS5GRkYGCggIsW7bsjktE3333HerWrVvu69y5c/jggw/ueLw6ynq8/fsTUfXwDAqRA/Pz84Ner0dBQcEdAz9Pnz6NEydOAAAOHTp0x7aBgYHl/r5s2TKMHDmySn1cv34dzZo1q/C5iuYYAW71fv369bvus+xW5eLiYpw4ceKOy0F9+vQxDcwt89RTT6F379545plnZHR/b2U9VucsDBHdiQGFyIGFhYUBuHU3T0REhOlxo9GIkSNHwsvLC5MmTcK7776LRx99FI888oip5vY39/vuu69KPej1epw7dw4DBw6U3XtGRkaFz6WmpuLtt9/Gs88+i5SUFDz33HM4dOhQuflSAgMD7whZ7u7uaNy4cbm7mqqrrMfK5kwhInkYUIgcWHR0NABg37595QLK3LlzkZiYiDVr1qB///7YunUrXnjhBXTr1s10JsBcb+Lp6ekoLi5GTEyM7N7fe+89lJSUwM3NzfR4aWkpRo4ciaCgIMybNw8ZGRno0KEDJk+ejKVLl5qlZzn2798Pb2/vKgc4IqoYx6AQObDGjRsjPDy83AytR44cwZtvvomRI0diwIABUKvVWL58OQoLC/Hiiy8K7ffrr7/GrFmzMHfuXADA9u3bMWvWLMyaNQtnzpwpV7tx40Z4enreMb6kMoMGDUJpaSm2bdtW7vFZs2YhJSUFS5cuRa1atRAREYHp06dj2bJlZlkXJy8vz/RayuaKWbhwIWbNmoWFCxfeUb9x40YMGDCAY1CIzE0iIoc2d+5cqWbNmtLNmzclvV4vdejQQWrQoIGUm5tbrm7evHkSAOmHH36odJ/du3eXAFT49ddff5WrjYqKkp566qkq9R4RESGNGjXK9Pf9+/dLLi4u0vjx48vVlb2uoKAg6fr163fdX6NGjaQZM2bc83tmZGTc9bU1atSoXO2RI0ckANKmTZvkvjQiqoRKkjj9IZEjy8vLQ+PGjTFnzhyMGjXKot87JSUF7dq1Q3JyMtq2bSt7+6+//hpxcXE4e/YsfHx8zN5fdU2aNAnbt2/H/v37eQaFyMwYUIicwPvvv49ly5YhPT3dbCsaixg6dCiMRiNWrVpVpe2NRiMiIiIwbNiwcjPH2oKrV6+iUaNGWLVqFfr162ftdogcDgMKERER2RwOkiUiIiKbw4BCRERENocBhYiIiGwOAwoRERHZHLucSdZoNOLixYuoVasWb+0jIiKyE5IkoaCgAEFBQZXeUWiXAeXixYsIDg62dhtERERUBefOnUODBg3uWWOXAaVsVdZz587By8vLyt0QERGRiPz8fAQHB9+xunpF7DKglF3W8fLyYkAhIiKyMyLDMzhIloiIiGwOAwoRERHZHAYUIiIisjkMKERERGRzZAeU7du3Y8CAAQgKCoJKpcKvv/5a7nlJkjB9+nQEBgbCw8MDsbGxOHHiRLmaa9euYfjw4fDy8oKPjw9GjRqFwsLCar0QIiIichyyA8qNGzfQpk0bfPLJJxU+P2fOHMyfPx+LFi3C7t27UaNGDfTp0wfFxcWmmuHDh+Pw4cPYuHEj1q1bh+3bt2PMmDFVfxVERETkUFSSJElV3lilwi+//ILBgwcDuHX2JCgoCC+99BL+7//+DwCQl5cHf39/LF++HEOHDsWRI0fQqlUr7N27F+3btwcAbNiwAf369cP58+cRFBRU6ffNz8+Ht7c38vLyeJsxERGRnZDz/m3WMSgZGRnIzs5GbGys6TFvb29ERUUhKSkJAJCUlAQfHx9TOAGA2NhYqNVq7N69u8L9lpSUID8/v9wXEREROS6zBpTs7GwAgL+/f7nH/f39Tc9lZ2ejXr165Z53cXGBr6+vqeZ28fHx8Pb2Nn0pNc29wSgh6dRV/JZyAUmnrsJgrPLJJSIiIqoGu5hJdurUqZgyZYrp72VT5ZrThrQszPgtDTkFOtNj/rW0mDkoHH3DA836vYiIiGyVwShhT8Y1XCooRr1a7ugY6guN2vIL85o1oAQEBAAAcnJyEBj4vzf1nJwctG3b1lRz6dKlctvp9Xpcu3bNtP3t3Nzc4ObmZs5Wy9mQloWx3yTf8XhOgQ5jv0nGoqfaMaQQEZHD25CWhbfWpCM7/383tgR4ueOtga0s/j5o1ks8oaGhCAgIwObNm02P5efnY/fu3YiOjgYAREdHIzc3F/v37zfVbNmyBUajEVFRUeZsR4jBKGHKqoP3rJmy6iAv9xARkUMr+7D+z3ACANn5xRj7TTI2pGVZtB/ZAaWwsBApKSlISUkBcGtgbEpKCs6ePQuVSoVJkyZh1qxZWLNmDQ4dOoRnnnkGQUFBpjt9WrZsib59+2L06NHYs2cPdu7ciXHjxmHo0KFCd/CYW+KJK7ipM9yz5qbOgMQTVyzUERERkWUZjBJequTD+tSfD1n0w7rsgLJv3z5ERkYiMjISADBlyhRERkZi+vTpAIBXXnkF48ePx5gxY9ChQwcUFhZiw4YNcHd3N+3j22+/RVhYGHr27Il+/fqhS5cu+Pzzz830kuT5KfmcUN1b69IU7oSIiMg6Fmw+gRuVfFi/frMUu05ftVBH1ZwHxVrMOQ/Ko5/txL4zuUK1x2c9CK0LVwcgIiLHYTBKaDV9A0r0xkprx/2rKf6vT4sqfy+rzYNijxrU9hSuXZGYoWAnRERElrdwy0mhcHKLDV/icTRD2jUQrt2beV3BToiIiCzLYJTw+fZTwvXRjeso2E15Th9QYprWgUbw9u4aWo2yzRAREVnQrtNXKx17Uqammwadmvgp3NH/OH1A0ahViHugqVCt+CkwIiIi25d4UvwO1TlDIiw6YZvTBxQAmNirOdwEBr8mpGUjIdWy94ETEREpZW/mNaG6ZnVroF+EZacCYUDBrbMoLwqeRXlldSonbSMiIrtnMErYd0ZsbGWv+yqe6V1JDCj/FVJH7G6ewhK9Re8DJyIiUsKE75Ih+nm7c1PLDY4tw4DyX/VquVde9F9JpxhQiIjIfun0Rqw/lC1U6+6iRqfGlhscW4YB5b86hvoK36Vz6nKBwt0QEREpZ0VipnDtv8LqWWU1YwaU/9KoVXiua6hQ7Y4TVzkOhYiI7Nb8LceFa5/q1EjBTu6OAeUfJvRsDjeXylMix6EQEZG9KizWo6BYbO4TrUZllcs7AANKORq1Cj3C/IVqOQ6FiIjs0aQfkoVrx3ZvYpXLOwADyh2a1K0hVHea41CIiMgOHcsuFK6dGNtcwU7ujQHlNqLrDGw7fpnjUIiIyGEF13a32tkTgAHlDp2a+KGmm0uldTd0RizccsICHREREZmHwSjhYm6RUO3bA8MV7ubeGFBuo1Gr8Hh7sRWOP/3rJM+iEBGR3Xh8cSIMAm9bGjXQrUU95Ru6BwaUCvRqJTalb4lBkrXQEhERkbUU6QzYfyZXqHZEdIhVL+8ADCgV6hjqC3dXsX+aBbzMQ0REdmDIZzuFa0U/qCuJAaUCGrUKLfxrCtXuzbzOyzxERGTTdHoj0rPE7j7ValToGOqrcEeVY0C5i4ci6gvVSQAeW5SobDNERETV8HVSpnBtp8Z+Vr+8AzCg3NWImBDh2uSzuSjSic3KR0REZGkZV28I1y5+ur2CnYhjQLkLrYsakcE+wvWz1x9WrhkiIqJqED0f0qC2OzwEF85VGgPKPfxfnxbCtSnncpVrhIiIqBo0KrGIMiVW/H1PaQwo99CpsZ9w6iws4SUeIiKyPQajhB+TzwvVBvp4KNyNOAaUe9CoVQgPqiVUW9PNNk6JERER/dPCLSdwQ+BDtF8NrU3cvVOGAaUSA9uK3c2TdrEAG9KyFO6GiIhInMEoYdnOTKHaQW2DbOLunTIMKJUYERMqfJnntZ8PcU4UIiKyGXsyriG3qFSo1hYmZ/snBpRKaF3UGNMtVKg292YpFm45qXBHREREYjalZwvV+Xi62tTlHYABRcjUfq3wrxZ1hGo/3coFBImIyPoMRglfJZ0Rqn02JtSmLu8ADCjCujStK1RXojdyAUEiIrK6v49dRqnAB2YPFxXG9WhqgY7kYUAR5FtDK1y7YMtxBTshIiKq3HsbjgjVNfKrYXNnTwAGFGEB3uL3hu8/k8vLPEREZDUGo4SjOYVCta4uthkFbLMrG9Qx1BduGrGEaZCAXaeuKtwRERFRxSZ+fwCiH5PbNPBRspUqY0ARpFGrMKZ7E+H6//x5VMFuiIiIKqbTG7E+VXxerjf6t1Kwm6pjQJFhUmxzCJ5EQfK5POj0RmUbIiIius3XSZnCZ0/ub+RjM4sD3o4BRQaNWoXxPZoJ1y/dcVrBboiIiO60/fhloTqVClj1fIzC3VQdA4pM43s2E55Z9ifBxZmIiIjMwWCUsCfzmlBt16Z1bPLunTIMKDJp1Cq4CY54zskvVrgbIiKi/9mTcQ1FpWLDCwYJrjVnLQwoVeDt6SJUp7bhZEpERI7nUoH4B+MgH/HpM6yBAaUK/tWinlBdXpGeKxwTEZHFbEzPEarzq6G1ubV3bseAUgUzBoQL185cm85J24iISHE6vREJh8Q+FL8zKNymx58ADChV4qHVoFcrsbMoWXnF2JMhNmCJiIioqr5OyoTI5+FOjX3RLyJQ+YaqiQGlir54pgPC63sJ1W4UXO6aiIioqnacELu9uLl/LYU7MQ8GlGp4o5/Y7Hur9p3nZR4iIlLMhrQsbD1+Rai2ka+nwt2YBwNKNXQM9UVtT9dK6wpL9Nh1mmvzEBGR+RmMEmauTReqVauAp6NDlG3ITBhQqkGjVqFTYz+h2iQuHkhERArYk3ENWXlitxeP7hoKrY2uXnw7++jShjWpW0OoLvGk2LVBIiIiOUTnPukRVhdTBYcm2AIGlGqKblxHqC75XB7iE8ROwREREYkSnftkdNcmCndiXgwo1dSpiR98BMahAMDnOzK4wjEREZlNQmoW1qVWPvdJgJebzU/MdjsGlGrSqFV475HWQrWSBKxIzFS2ISIicgoGo4RXVqcK1Q7tEGzzE7PdjgHFDPqGB6JNA7E5UfZmcrAsERFV367TV1FYoheqtceT9wwoZhJap6ZQXe7NUoU7ISIiZ5B4Smzek1vsby4uBhQzGdKugVBd2sU8TtpGRETVtnr/eeFa0Rs6bAkDipnENK0Dd4F7y2/qjFi45aQFOiIiIkdVpDMgO79EqFarUaFTE7E5u2wJA4qZaNQqPBnVUKh2WWIGz6IQEVGVPf/1PuHaFx5oYncDZAEGFLPq1SpAqC73ZilXOCYioioxGCXh5VPUACb0bK5sQwphQDGjjqG+8PEQmxOFKxwTEVFV7Mm4Bp1B7Cx8l2Z17PLsCaBAQDEYDHjzzTcRGhoKDw8PNGnSBO+88w4k6X//mJIkYfr06QgMDISHhwdiY2Nx4sQJc7dicRq1Cs92DhGq/S3lIi/zEBGRbH+kVT4xW5nFT7dXsBNlmT2gvP/++/jss8+wcOFCHDlyBO+//z7mzJmDBQsWmGrmzJmD+fPnY9GiRdi9ezdq1KiBPn36oLhYbD0BWzauRzPUcNNUWnf1ho6XeYiISBaDUcLKveeEahv4uMNDW/n7ka0ye0BJTEzEoEGD0L9/f4SEhODRRx9F7969sWfPHgC3zp58/PHHmDZtGgYNGoSIiAh89dVXuHjxIn799Vdzt2NxGrUKQ9sHC9Vu4mUeIiKSYeGWE8JLpjwQVk/hbpRl9oASExODzZs34/jx4wCAgwcP4u+//8aDDz4IAMjIyEB2djZiY2NN23h7eyMqKgpJSUkV7rOkpAT5+fnlvmxZrOBg2W/3nOVlHiIiEmIwSvjkL/FpKkL9aijYjfJczL3D1157Dfn5+QgLC4NGo4HBYMDs2bMxfPhwAEB29q2zBv7+/uW28/f3Nz13u/j4eMycOdPcrSqmY6gvfD21uHZTd8+64lIjEk9eQdfmdS3UGRER2avEE1eEB8eqADwdHaJoP0oz+xmUVatW4dtvv8XKlSuRnJyMFStW4MMPP8SKFSuqvM+pU6ciLy/P9HXunNj1N2vRqFVoWk8suf6cLD4TIBEROa/VB8TfL57rGgKtwOShtszsZ1BefvllvPbaaxg6dCgAoHXr1jhz5gzi4+MxYsQIBATcuvyRk5ODwMBA03Y5OTlo27Zthft0c3ODm5ubuVtVlI+nVqju9JUbCndCRESO4Pz1m0J13h4ueKP/fQp3ozyzx6ubN29CrS6/W41GA6Px1qCe0NBQBAQEYPPmzabn8/PzsXv3bkRHR5u7HavpEFJbqO7g+TxskHHLGBEROafcSoYNlPlXc/seHFvG7AFlwIABmD17NtavX4/MzEz88ssvmDt3Lh5++GEAgEqlwqRJkzBr1iysWbMGhw4dwjPPPIOgoCAMHjzY3O1YzYiYUIhOjTNu5QEOliUiorvS6Y04eVnsDIro4rW2zuyXeBYsWIA333wTL774Ii5duoSgoCA8//zzmD59uqnmlVdewY0bNzBmzBjk5uaiS5cu2LBhA9zd3c3djtVoXdQY0y0Ui7dnVFqrN0oYt3I/PnvKfifUISIi5XydlClUp9WoENPM/lYurohK+ucUr3YiPz8f3t7eyMvLg5eXl7Xbuade/9mKE5fFxpkcn/Wg3Q9qIiIi8xuxdA+2Hb9caV335nWx4t8dLdBR1ch5/+a7ocJC69YUrl2RmKlcI0REZJc2pGUJhRMA6OYgZ08ABhTFdQjxFa5dl3pRwU6IiMjeGIwSxq08IFSrVtn/3Cf/xICisBExIcK1aRfzOFiWiIhMPvrzKPSC7wuju4Y61DABx3klNkrrokb/cLGp7w1GYP7m4wp3RERE9sBglPDZ9tNCtfV93DG1XyuFO7IsBhQLmP9kO+Fbjr/ckcGzKEREhF2nr8Igti4gfGuITQ5qTxhQLECjVqGv4FmUGzoD9mRcU7gjIiKydR9sOCpc26aBt4KdWAcDioU81amRcO2fhzmzLBGRM9PpjUg5nydc7whT29+OAcVCOjX2g4er2D/393vP8TIPEZETe3rJLuHaED9PeGg1CnZjHQwoFqJRqzC0Y0Oh2qJSI3aduqpwR0REZIt0eiN2Z1wXrp/9cGsFu7EeBhQL6t1KbBwKACSevqJgJ0REZKuW76x8iZQyatWtM/SOiAHFgjqG+sJd8DLPXg6UJSJySn+mZwvX3t/QBxq16H2i9oUBxYI0ahW6N68rVLv/zHWOQyEickL5xaXCtRN6NlewE+tiQLGwZzqFCNUZJODxxYnKNkNERDYnzL+WUJ1aBcQ0dZy1d27HgGJhnZr4wVNwtPX+M7lYl8L1eYiInElDvxpCdeMeaOqwl3cABhSL06hVeL5bE+H6qb+k8lIPEZGTiE9Ix8K/TlVap3VRY2Ivx728AzCgWMW4Hk0hup5TQQlnliUicgYJqVlYvF3sDp75Q9s69NkTgAHFKjRqFdo1rC1cn51frGA3RERkbQajhCmrUoRqJ8c2Q9/wQGUbsgEMKFYyvkcz4dqdJy4r2AkREVnbxO8PoFgvtjJgSB2xMSr2jgHFSmKa1oGb4HWeNQcvchwKEZGD0umNWJ8qvgZbvVruCnZjOxhQrESjVuHFB5oK1eoMEhJPcmZZIiJHtCIxE6IfQX1ruKJjqK+i/dgKBhQrGtejKVw1YoOcZq49rHA3RERkDWtTLwjXzhoU7vCDY8swoFiRRq1Cq0CxCXlOXr4BneD1SSIisg8Go4TDF/KFaoO83dEvIkjhjmwHA4qVPRRRX7h26uqDCnZCRESWtuv0VRgEr+8MinSecAIwoFjdiJgQ4drVBzhYlojIkSSduipc26Wp2FpujoIBxcq0Lmo0qyt+y9hjn+1UsBsiIrKk05cLhOrcXdXo1NhP4W5sCwOKDZg+4D7h2uRzeSjSGRTshoiILGFDWhYS0nKEasd2a+I0g2PLMKDYgJimdaCRcSTeTUhXrhkiIlKcwShhwvcpQrWeWg3G9xSf3NNRMKDYAI1ahcFtxQfL/nX0koLdEBGR0iZ+d0D4zsy5j7dxurMnAAOKzYh/JEK49nxuMRJSLyrYDRERKUWnN2LdIbGZYx8MD3CKdXcqwoBiI7QuajzbOUS4/v9+TOEdPUREdmhFotiKxQDQRMZNFI6GAcWGzBhwHzxdxQ7JzVIJu2TcnkZERLZhnYx1d6Ib11GwE9vGgGJjujQT/8/49a5M5RohIiKzMxglHMsRu7XYVaNCpybOdWvxPzGg2JgOIeL/GTcfvcTLPEREdmRPxjUUl4oNjn2hW2OnHBxbhgHFxsiZWbbUIGHhlpPKNUNERGY1e73Ywq8uahUm9mqhcDe2jQHFxmhd1Ggb7C1c//n2UzyLQkRkB4p0BqRdFLu8M7htkFOfPQEYUGzSy73DhGtv6AzYdZqDZYmIbN0768TOngBA52bOte5ORRhQbFCnJn7w9nARrpez2BQREVnHLwcuCNcGeLkr2Il9YECxQRq1Cu8PEZ+47ZTgYlNERGQds9cfRpHg4FiNGugY6qtwR7aPAcVG9Q0PxMSeTYVqf0/LwYY08fvqiYjIcnR6I77ckSlcP7A1x58ADCg2bULP5vDxcBWqfWnVQQ6WJSKyQV8nZULOb+f3H2ujWC/2hAHFhmnUKrw3pLVQ7Q2dAYknryjcERERyXXm2k3h2gERAdC68K0ZYECxeX3DA9EhpLZQ7erk8wp3Q0REcp3IyReq02pU+HhoO4W7sR8MKHZAksRODp6/Lp7SiYhIefEJ6Ug6fV2o9j+Pt+XYk39gQLED9X08hOpU4H9sIiJbodMb8fl2sZWLe7WqhwFtghTuyL4woNiBR9sFC9XtPXMd8QnpCndDREQiViRmCA2OjQrxwRfPdFC8H3vDgGIHYprVgadWI1S7eHsGElIvKtwRERFVZu1Bsd/FtTy0CndinxhQ7IBGrcLcx8VvO3tldSpvOSYisiKDUUJ6ltgkmsWlBoW7sU8MKHaib3ggRnUOEaotLDFgF6e/JyKymoVbTkIv+EExor6Pss3YKQYUOxLbKkC4NvEU50QhIrIGg1HC0p1ig2MBoHPTOgp2Y78YUOxIx1BfuLuKHbI/D2cr3A0REVVkT8Y15BWVCtW6u6rRqYmfwh3ZJwYUO6JRq/BAC7EluE9cvgGdXmxhKiIiMp/Pt58Srh3aIZhzn9wFA4qdeToqRLi27dt/KNcIERHdISH1Iv46dlm4vs99gQp2Y98YUOxMpyZ+EF2m4abOiGuFOmUbIiIiALfGnkz7LU243tvdBR1DfRXsyL4xoNgZjVqFdg3F1uYBgKGfJyrYDRERldmTcQ3XboiNPQGAf3cJ5eWde2BAsUPjezQTrj2fW6xgJ0REVOZSgfjv25puGoyT8bvcGTGg2KEYGbek3dQZsCEtS8FuiIgIAOrVcheunTMkgmdPKqFIQLlw4QKeeuop+Pn5wcPDA61bt8a+fftMz0uShOnTpyMwMBAeHh6IjY3FiRMnlGjFIWnUKnwwpLVw/UurDnJmWSIihV2/ITbmb3TXUPSL4MKAlTF7QLl+/To6d+4MV1dX/P7770hPT8d//vMf1K79v3ETc+bMwfz587Fo0SLs3r0bNWrUQJ8+fVBczMsRoh7r0BBe7i5CtTd0BiSe5MRtRERKMRglTF6VUmndqC4heKN/K+UbcgBi73AyvP/++wgODsayZctMj4WGhpr+LEkSPv74Y0ybNg2DBg0CAHz11Vfw9/fHr7/+iqFDh5q7JYeV+lYfNH8jATpD5WdHViefR9fmYnOoEBGRPL0+2ooSgbmnYluKzwju7Mx+BmXNmjVo3749HnvsMdSrVw+RkZH44osvTM9nZGQgOzsbsbGxpse8vb0RFRWFpKSkCvdZUlKC/Pz8cl90i+jEbRlXChXuhIjIOa1JvoDTl28K1coZSOvszB5QTp8+jc8++wzNmjXDH3/8gRdeeAETJkzAihUrAADZ2bemYPf39y+3nb+/v+m528XHx8Pb29v0FRwcbO627VaHELEpkg+ez+dgWSIiMzMYJbz6S6pwvZyBtM7O7AHFaDSiXbt2ePfddxEZGYkxY8Zg9OjRWLRoUZX3OXXqVOTl5Zm+zp07Z8aO7duImBCIjgOf+H0KB8sSEZnRnoxrKCoVW1ZEq1FxYjYZzB5QAgMD0apV+QFALVu2xNmzZwEAAQG3rr/l5OSUq8nJyTE9dzs3Nzd4eXmV+6JbtC5q9I8Qmyq5RG/EhO+SFe6IiMh5bEwXX5i1U2M/3losg9kDSufOnXHs2LFyjx0/fhyNGjUCcGvAbEBAADZv3mx6Pj8/H7t370Z0dLS523EKvVr5V170X+sPZXMRQSIiMzAYJfyaclG4fvHT7RXsxvGYPaBMnjwZu3btwrvvvouTJ09i5cqV+PzzzxEXFwcAUKlUmDRpEmbNmoU1a9bg0KFDeOaZZxAUFITBgwebux2nIPea5tdJmco0QkTkRG5NbS8290lsy3rw0GoU7sixmD2gdOjQAb/88gu+++47hIeH45133sHHH3+M4cOHm2peeeUVjB8/HmPGjEGHDh1QWFiIDRs2wN2dg4eqomOoL2p7ugrXL9uZoWA3RETO4csdp4Tqgn098OWIDgp343hUkiTZ3ajJ/Px8eHt7Iy8vj+NR/ishNQsvrhQfX3Lk7b5M80REVaTTG9F82u9Ctd+N7oToJmJ3XDo6Oe/fXIvHQfSLCBSeEwUA3k1IV7AbIiLH1vHdjUJ1Xu4uvHOnihhQHMjz3ZoI1245eknBToiIHNeo5XuQe1MvVBvZsDbv3KkiBhQH0jHUFx6uYof0Qm4x7+YhIpKpSGfA5qOXheu7NRNffZ7KY0BxIBq1Cu8/LL7KcfcP/lKwGyIixyP38vjT0SHKNOIEGFAczMB2DeBXQ+yOnqy8YhQWi52mJCIiIOPKDeHaTo19oXXh22xV8V/OAb34QFPh2sk/HFCwEyIix5JfVCpc+9W/oxTsxPExoDggOacUz14vUq4RIiIHYjBKOJ6TL1T7QLM6PHtSTfzXc0BaFzUa1fYQqi3WiX8aICJyZhO/PwDRq+LPyziTTRVjQHFQ6yd2E6o7c60Y8ZwThYjonhJSs7AuNUuo1sfTlXOfmAEDioOq6e6CiAZis+wu3p7BW46JiO7CYJTwyupU4fpnY0I594kZMKA4sDXjuiLQS2x9oxFLdivcDRGRfdp1+ioKS8Su7XhqNRjXg5d3zIEBxcH1us9fqC4p4xoSUsWXDScichbf7DojXPt8tyY8e2ImDCgOrpGvp3DtlB8PwmC0u7UjiYgUsyEtC7+nZQvVurmoefbEjBhQHNzT0SEQzfLFpUYs2Hxc0X6IiOyFwShh8g8pwvVju/PsiTkxoDg4rYsaD0UECNcv/Oskz6IQEQGYv/kEikrFbiBwc1FjQs9mCnfkXBhQnMDHQ9vBVSOW6vVGIPHEFYU7IiKybQajhEXbTgnXPxXVkGdPzIwBxQlo1CrEyZg0aNx3yQp2Q0Rk+3aduooSGdMvxLYSP1NNYhhQnMT4ns2ED3ZesZ6LCBKRU/t6V6ZwrW8NLSdmUwADipPQqFVoH1JbuL7//O0KdkNEZLsMRgl/pucI188aFM7LOwpgQHEi43uID+A6c62Is8sSkVOa+N0BiN4r0DbYG/0iApVtyEkxoDiRmKZ1ICfkv/7zIeWaISKyQTq9EesOia25AwAv9w5TsBvnxoDiRDRqFf7zWBvh+jUHL/CWYyJyKisSM4Rr3VzU6NTET8FunBsDipN5uF0D1PZ0EarVGSQs3HJS4Y6IiGzH59tPC9dyYjZlMaA4od2v9xKuXbDlBM+iEJFTmL0+HZcLdUK1GhU4MZvCGFCc0K3ZZcUGdemNEuZtOqZwR0RE1qXTG/HlDvHLO3EP8OyJ0hhQnNS8oZHCA2Y/23qKZ1GIyKG9/vMhiP6Wc1GrMLFXC0X7IQYUp6VRq9C6vpdQbakRHItCRA7LYJSwXsadO+N7NOXZEwtgQHFiD0XUF679dCsXESQix7Qn4xqKSg1CtVqNGuNkzClFVceA4sRGxIRA9DNAid6I+ZuPK9oPEZE1bEi7KFw7rGMDnj2xEAYUJ6Z1UeO5rqHC9Z/8xbEoRORYDEYJXyWdFa7vGx6kYDf0TwwoTu6N/q0Q6ucpVKs3Sliw+YTCHRERWU6vj7YKD471cFVzUUALYkAhzHq4tXDtou08i0JEjuG3Axdw+vJN4fr+rQN5eceCGFAInRr7wd1F7L9CcakRu05fVbgjIiJlGYwSXvoxRbheBeDdRyIU64fuxIBC0KhVGNu9iXB94skrCnZDRKS8xJNXIGfB9ue6hkIr+EGOzIP/2gQAGN+zGTSCZy73ZV5TthkiIoXNXHtYuLa2pyve6N9KwW6oIgwoBODWWZRerfyFag+cz+U4FCKyWzq9EScv3xCu//jxtso1Q3fFgEImT0eHCNXp9FzlmIjs10MLtgvXalRAl+Z1FeyG7oYBhUw6NfaDp1YjVLv079M8i0JEdmddykUcz5Fx9mRoJO/csRIGFDLRqFV4vpvYYNm8Yj0mfn9A4Y6IiMzHYJQw9ddDwvXN/WtgQBtOzGYtDChUzrgeTYXPoqxLzUJ8QrrCHRERmceejGsoKNYL168b303BbqgyDChUzq2zKI2F6xdvz4BOzr16RERWsjE9W7i2ad0avK3YyvivT3cY16MZfDxdheufWbJLwW6IiKrPYJSwIilTuH7GQ/cp1wwJYUChO2jUKrz3iPj097syrvMsChHZtMcWJcIg+GvKU6tGTLM6yjZElWJAoQr1DQ9Ex5DawvVTfz6oYDdERFVXpDMg+WyucP3cx9vyzh0bwIBCdzW+RzPh2l8OXORtx0Rkk2L/s1W4tl+4P/qGByrXDAljQKG7imlaR3j6e6MEzN98QtmGiIhkKtIZcCGvWLh+eFSIcs2QLAwodFcatQpx/2oqXL9gywmeRSEim/K2jDV31AA6NfFTrhmShQGF7mlibHNZZ1EeW7RT2YaIiGTYeuyScO2gtoEce2JDGFDonjRqlayxKMln81CkMyjYERGROCPEz+q+/2hb5Roh2RhQqFLjezaDq+hpFADPf71XwW6IiMTEJ6QjJ18nVNuinicnZrMxPBpUKY1ahbgHxMei/H3yKseiEJFVxSekY/H2DOH6X8dxWntbw4BCQsb3bAbRS7NGCZj0fbKyDRER3YVOb8QXO8TDSa9W9eAhuAYZWQ4DCgnRqFV48QGxlY4BYG1qNmeXJSKr+DopE6IncXu1qocvnumgbENUJQwoJGxyrxbCZ1EAYEWi+CcYIiJzWZ18XqhuWMdghhMbxoBCwjRqFRYOixSu35t5XcFuiIjuFJ+QjvSsAqHapnVrKtwNVQcDCsnSLyIITevWEKp154h4IrIgnd4oPDBWrQKejg5RtiGqFr6DkGwzBogtQ74mNQvPrdijcDdERLeMWLJbuHZ011DeVmzjFD867733HlQqFSZNmmR6rLi4GHFxcfDz80PNmjUxZMgQ5OTkKN0KmUlM0zqoITjifdORyxi4cIfCHRGRs9PpjUjKuCZUe19QLUzt10rhjqi6FA0oe/fuxeLFixEREVHu8cmTJ2Pt2rX48ccfsW3bNly8eBGPPPKIkq2QGWnUKvzn8TbC9ann8/FbygUFOyIiZ/fQ/O3CtY9ENlCwEzIXxQJKYWEhhg8fji+++AK1a9c2PZ6Xl4clS5Zg7ty56NGjB+6//34sW7YMiYmJ2LVrl1LtkJn1DQ/EoqfawcNV7EzKKz+lcvI2IlJEkc6A45duCNdz7Il9UCygxMXFoX///oiNjS33+P79+1FaWlru8bCwMDRs2BBJSUkV7qukpAT5+fnlvsj6+oYHokldT6HaEr0Ru05fVbgjInJGY74SX16jad0aHHtiJxQ5St9//z2Sk5MRHx9/x3PZ2dnQarXw8fEp97i/vz+ys7Mr3F98fDy8vb1NX8HBwUq0TVXg7aEVrk08dUXBTojIGW1Iy8KOk+IffkQH+ZP1mT2gnDt3DhMnTsS3334Ld3d3s+xz6tSpyMvLM32dO3fOLPul6hvTpbFw7dlr4qdgiYgqYzBKeHV1qnC9WnVrkD/ZB7MHlP379+PSpUto164dXFxc4OLigm3btmH+/PlwcXGBv78/dDodcnNzy22Xk5ODgICACvfp5uYGLy+vcl9kG7q0qAvRyWXXHszGaBmnYomI7mXXqavIK9IL18c90AQaOdNhk1WZPaD07NkThw4dQkpKiumrffv2GD58uOnPrq6u2Lx5s2mbY8eO4ezZs4iOjjZ3O6QwjVqFCT3FVzremH6JIYWIzGLyDweEa9UqYFKvFgp2Q+bmYu4d1qpVC+Hh4eUeq1GjBvz8/EyPjxo1ClOmTIGvry+8vLwwfvx4REdHo1OnTuZuhyxgQs/m+GJHBm7qDEL1G9MvoUhn4OqhRFRla5LP41KhTrh+Ys9mPHtiZ6wylPmjjz7CQw89hCFDhqBbt24ICAjAzz//bI1WyAw0ahXmypgXBQDeTUhXqBsicnQGo4SJqw4K19d0c8G4Hs0U7IiUoJIkye4mp8jPz4e3tzfy8vI4HsWGbEjLwvjvDqDUUPl/qfo+Htj5Wg8LdEVEjmbun8cwf8tJ4fpPn2yHfhGBCnZEouS8f/NmcDKbvuGBeKK92C3gF3KLoNMbFe6IiByNwShhgYxwEuTtznBipxhQyKze6C++vsXrP4vfHkhEBACPLUqEnNP+8Q+3VqwXUhYDCpmVh1aD4Npi89+sPXiR098TkbAinQHJZ3OF6zVqoEvzuso1RIpiQCGzGxkTKlRXYpAwf/NxhbshIkcRO3errPp5j0fyzh07xoBCZvd0dIjw5G3zN59EQmqWov0Qkf0r0hlwIbdYuL5dQ2881DZIwY5IaQwoZHZaFzX6Cw5KkwC8uDIZG9IYUojo7oZ8mihcq1YBP47trGA3ZAkMKKSIeUMjZa0YOvXnQxyPQkQV0umNSM8WX8X+48fa8tKOA2BAIUVo1CrEPSA+Bf71m6XYdVp8RVIich4PLdguXOvr6YqB7eor2A1ZCgMKKWZcj6bw8XQVrn/jF952TETlFekMOJ4jvhL6ztd6KtgNWRIDCilGo1bhvUfE5yDIvFqE2es5BT4R/U+X9zdXXvRfzf1rco0vB8KAQorqGx6IiPq1hOu/2JHBGWaJCABQWKzH1RulwvXrxndVsBuyNAYUUtyANvKuB49YsluhTojInrSZ+YdwbavAWrIG5pPt49EkxY0QnLitTFLGNZ5FIXJyI5fthsC6oyarX+BtxY6GAYUUp3VRY3RXeSFlKtfpIXJaRToDth67Ilxfp4Yrx544IAYUsog3+rdCz7A6wvU/H7jAeVGInNTzX++TVb/15R4KdULWxIBCFrNkZBT8vbRCtZIEPLFYfOZIInIMBqOE7SfEz57UctOgpruLgh2RtTCgkEV9OKStcO2+M7ko0hmUa4aIbM6QT/+WVZ80NVahTsjaGFDIomKa1YG7jJH2nWXMgUBE9q37nC1IOS8+pX14UC2ePXFgDChkURq1CnMfbyNcf+1GKWatPaxgR0RkC0Yt34Mz14qE67UaFdZN6KZgR2RtDChkcf0igtAqQHzyti93ZvK2YyIHVqQzYPPRy7K2WTayo0LdkK1gQCGrWP2ivDkLus/ZolAnRGRtcu/aqeGmQacmfgp1Q7aCAYWswkOrQXP/msL1WfkleGcd1+khcjQGo4SdJ8Xv2gGAD4ZEQKNWKdQR2QoGFLIauetmLPmb6/QQOZpdp6/KmjE2KsQH/SKClGuIbAYDClmN1kWNTiG1ZW3TVsbaHERk+77ZdUZW/dfPRSvUCdkaBhSyqq+e6ySr/mapEdcKdQp1Q0SWZDBK2HL0knD9Q60DuSCgE+GRJqvSuqjxXGd56/T0m79NoW6IyJIWbjmJEsHLti5qYN6wSIU7IlvCgEJWN21AK/h4iC/0lZ2vQ3wCB8wS2TODUcLSnRnC9fOHRnJgrJNhQCGbkDS1l6z6xdszkJCapVA3RKS0BZuPI6+oVKh2QEQAB8Y6IQYUsgkeWg0eaOora5uJPxzgisdEdmjW2nR8vPmkUG0NrQYfD22ncEdkixhQyGYsfy4aWo34KdxSg4S/T8ibfZKIrOu5FXvxpYxLO2O6NealHSfFgEI25fjsfnCV8cto8g8pyjVDRGY1e/1hbDoiftdObU9XjOvRTMGOyJYxoJDNeaVvmHDttZulWJN8QcFuiMgcdHojvtiRKWub+Eda8+yJE2NAIZszIiZEVv2EVSnYkMYBs0S27Okvk2TVT45tjr7hgQp1Q/aAAYVsjtZFjVExjWRtM+E7DpglslU6vRG7M3OF62t7umBcj6bKNUR2gQGFbNKbA8NR0038v6fOIGH8yv0KdkREVRX17kZZ9bMH89IOMaCQDdv7Rm9Z9QlpOUhIvahQN0RUFe+sScP1m3rh+qiQ2pzzhAAwoJAN89Bq0LxeTVnbvLI6lZd6iGyETm/EkkS5iwHKW5+LHBcDCtm0dRO6yqovLDFg16mrCnVDRHJ8nZQpq35UlxAuBkgm/J9ANk3roka/8ABZ27z+a6pC3RCRHKuTzwvX+nm64s2H7lOwG7I3DChk8xY82Q5yPlSduVqE2esPK9cQEVVq1PI9SM8qEK7/+7WeCnZD9ogBhWyeRq3CwiflrcXxxY5M6ASXcSci8xq1fA82HxVfhqJnWF14aMVXNCfnwIBCdqFveCCGtJM3sn9FYqYyzRDRXc1eny4rnDTy88CSkR0V7IjsFQMK2Y34R9rIqt91mgsJElnSrensxRcCbBlQE9te7qFgR2TPGFDIbmhd1BjdNUS4fvPRKxi1fK9yDRFROa//LG+A+qP3ByvUCTkCBhSyK2/0vw/tgr2F6zcfvYTuH2xRsCMiAgCDUcKvKeILd6oAPB0dolg/ZP8YUMju/PhCZ2g14tNgn7lahJlr0xTsiIjGfbsfcsal928dwDlP6J74v4PsjkatwvxhkbK2WbbzDO/qIVLIwIU78PvhHOF6Nxc15g2Td2ceOR8GFLJLfcMDseipdnCVcSblmS93K9gRkXN6Z91hpJ7Pl7XNvKFtuRggVYoBhexW3/BAPNFefJDdrsxrGP0VB80SmYtOb8SSvzNlbTOpZzP0DQ9UpiFyKAwoZNfe6N9KVv3G9EtYe5ArHhOZQ//522TV+3i4YHzPZgp1Q46GAYXsmodWg55h9WRtM/H7A1zxmKia1qVcwIlLN2Vt896QCF7aIWEMKGT3lozsgEZ+HsL1RgnoNXercg0ROTiDUcKUH1NkbbNwaFte2iFZGFDIIWx7uQc6hvgI15++chNrZKy0SkT/89hnidAZxOsfDPfHQ23rK9cQOSQGFHIY3zwXLat+yk8HeamHSKaBC3cg+VyucL1aBSx88n7lGiKHxYBCDkProkb/1gHC9Xoj0Oujrco1RORg1iRfqMItxZEcd0JVwoBCDmX+sHaQ87vw9OWbeG4Fbz0mqozBKGHiqhRZ27Rr6IMBbeStQk5UhgGFHIpGrcLHj7WVtc2mI5dQJOeCOpETCp+xAXIuiGo1Kvw4NkaxfsjxmT2gxMfHo0OHDqhVqxbq1auHwYMH49ixY+VqiouLERcXBz8/P9SsWRNDhgxBTo74NMlE9zKwXX1E1PeStc2QT/9WqBsi+9f1vU0oKpW3VMT8Yby0Q9Vj9oCybds2xMXFYdeuXdi4cSNKS0vRu3dv3Lhxw1QzefJkrF27Fj/++CO2bduGixcv4pFHHjF3K+TE1ozvitA6nsL16dmFeGfdYQU7IrJPvySfx7ncElnbzHuCtxRT9akkSVL0NobLly+jXr162LZtG7p164a8vDzUrVsXK1euxKOPPgoAOHr0KFq2bImkpCR06tTpjn2UlJSgpOR/PyD5+fkIDg5GXl4evLzkfVIm52EwSmjxRgL0Mv6Hj+4aKnt2WiJHZTBKaP5GAgwyfoZ6htXFkpEdlWuK7Fp+fj68vb2F3r8VH4OSl5cHAPD19QUA7N+/H6WlpYiNjTXVhIWFoWHDhkhKSqpwH/Hx8fD29jZ9BQeLr79CzkujVmGuzPEoX+zIQEIqp8InAoCFW07KCie+NVwZTshsFA0oRqMRkyZNQufOnREeHg4AyM7OhlarhY+PT7laf39/ZGdnV7ifqVOnIi8vz/R17tw5JdsmBzKwXX00lnGpBwCmrOL8KEQGo4RlOzNkbbPz1Z4KdUPOSNGAEhcXh7S0NHz//ffV2o+bmxu8vLzKfRGJ2jjlAbhqxAfrFeuNSDx5RcGOiGxf4skryC0qFa5vG+wND61GwY7I2SgWUMaNG4d169bhr7/+QoMGDUyPBwQEQKfTITc3t1x9Tk4OAgLEJ9kiEqVRqzDviUhZ23y69STPopDTik9IxzNL9wjXqwCsfqGzcg2RUzJ7QJEkCePGjcMvv/yCLVu2IDQ0tNzz999/P1xdXbF582bTY8eOHcPZs2cRHS1vqnIiUf0iAjG6a2jlhf+VdPoaWkxLwIa0LAW7IrI9s9cfxuLtGbLmPPnsqXa8pZjMzuwBJS4uDt988w1WrlyJWrVqITs7G9nZ2SgqKgIAeHt7Y9SoUZgyZQr++usv7N+/H88++yyio6MrvIOHyFze6N8KUSG1hev1RmDsN8kMKeQ01h68iC92ZArXqwB8+mQ73lJMijD7bcYqVcUpetmyZRg5ciSAWxO1vfTSS/juu+9QUlKCPn364NNPPxW+xCPnNiWif9LpjWg+7XdZ27iogWOz+vETIjm0DWlZGPtNsqxtPn0yEv0iOJU9iZPz/q34PChKYECh6ohPSMfi7fLuTugXHoBPn+KKrOSYDEYJTV9PEL6s46nVYO7jbXjmhGSzqXlQiGzN1H6t8Hw38fEoAJCQlg2dXt5U30T24tFP/5Y15mRybDOGE1IcAwo5pan9WuHJjvIm/HtowXaFuiGyniKdAQfO5wvXq1XAiBh5AZ+oKhhQyGm9+dB9suqP59zA7PXpCnVDZHkGo4QJ38kbdzK6ayi0LnzrIOXxfxk5LQ+tBj3D6sja5ssdGSjSGRTqiMhyNqRlISZ+EzYeuSS8TcuAmpjaj2tVkWUwoJBTWzIyCsG13YTrJQDt3vkTCam89ZjsV9kdOzkFOlnb/fxiF4U6IroTAwo5vR2vxiLUT3y9nqJSI15cmYz4BF7uIftz67LOAdnb9WhRl1PZk0UxoBAB2PTSA5B7WX3xdq58TPbnX3M2QSdniWIAdWtqsfRZrlJMlsWAQoRb6/V8/Hhb2dtN+P4A1+whu9H+nT9xNlfeZZ0eLepg77ReCnVEdHcMKET/9VDb+ujVqp6sbfRG4PHFiQp1RGQ+/eftwJUb4qsT16mhxZG3+2Lps1EKdkV0dwwoRP/wxTMdZC0qCAD7z+SisFivUEdE1ffvZbtxOEt8rhMA6NKsDseckFUxoBDd5o3+rbBiRAdZ24S/9QfWpVxQqCOiqpu9/jC2HLsie7sh7Roo0A2ROAYUogp0aVEXPh6usrYZ930KRi3fo1BHRPLp9EZZqxOXcXdRI6apvDmCiMyNAYWoAhq1Cu8NaS17u81HL2Pggh0KdEQkX9+PtlZpu7mPt+Hq3WR1DChEd9E3PBDzq3BnT+qFfMxae9j8DRHJ0P6dP3H6apHs7Z7vFop+EUEKdEQkDwMK0T0MbFcfsS3l3dkDAF/uzOTqx2Q1XeI3ybpjp8yCYZGcyp5sBgMKUSW+HNEBzf1ryt7u2aW7OEcKWVyX9zbhfF6J7O0+fjQCA9rwzAnZDgYUIgHrxneVvc3O09fRYtrv2JDGdXvIMh6avwPnc+WHk/AgLwxuH6xAR0RVx4BCJEDrosboriGyt9MbJYz9JpkhhRQ3ctkupF2UN9cJcGsa+3UT5AdwIqUxoBAJeqP/fegZJn88CgDM+C2Nl3tIMaOW78bWY1dlb9etmS+nsSebxYBCJMOSkR3wrzD580PkFOgwf/NxBToiZzf154PYfFT+RGzdm/nhq1HRCnREZB4MKEQyLRsZhdiWdWVvN2/zScxam65AR+SsWr/1B77bc172dnVquGLFqE4KdERkPgwoRFXw5YiOmDe0rfztdmZwtlkyi9YzNqCgCmtA1fF0wb43eyvQEZF5MaAQVdGgtvXx8aNtZG+3+ehlhhSqljd+TUVBiUH2dioAu6cxnJB9YEAhqobB7RsgooGX7O02H72Mt9akKdARObo1yRfw7a5zVdr2s6facQp7shsMKETVtGZc1yrNNrs88QyeW8EzKSRu9vp0TFiVUqVtP32yHfqGB5q3ISIFMaAQmcGXIzog7a0+cNXI227Tkct4h2dSSEB8Qjq+2JFRpW3nP94G/SIYTsi+MKAQmUlNdxfMeyJS9nZLEs9gxm+HFOiIHIVOb8Ti7VULJz3D6mJguwZm7ohIeQwoRGbULyIIz3UOlb3diqSziHz7Dy4wSHfQ6Y145NOdVdq2dX0vLBnZ0cwdEVkGAwqRmU0b0Ao9w+TPk3L9ph7Np/2O2es5Vwrd8vbaw2g+7fcqTWH/QFNfrK3CGlJEtoIBhUgBS0Z2rFJIAYAvdmRg9Fd7zdwR2Ztuc7Zg6c7MKm0b7OOG5c9xlliybwwoRApZMrIjRsY0qtK2G9Mv4dd98mcIJccQM/tPnL1WVKVt/Wq4YsdrsWbuiMjyGFCIFPTWwPAqTYsPAJN+OohZaw+buSOyZQajhLBpCbhYUFql7et7a7Gfs8SSg2BAIVLYlyM6YlQVz6R8uTMTo5bzco8z2JCWhaavJ6BYX7VVr4N93LBzKlcmJsfBgEJkAW8ODMeI6IZV2nbz0UsYvGA7DMaqvXGR7fst5QLGfpOMqh7hHmF1eVmHHA4DCpGFzBzUGo38PKq0bcqFAjR7PQEb0rLM3BVZ26jluzHx+5Qqbz9vaFss5a3E5IAYUIgsaNvLPdCtWe0qbWsEMPabZCSkXjRvU2Q1/T7eis1Hr1R5+0+fjMSgtvXN2BGR7WBAIbKwr0bFIDxI/gKDZV5ceQAJqTyTYu/avf0H0rNvVGlbtQpY9FQ79IsIMnNXRLaDAYXICtZN6FqlVZDLvLgymSHFThXpDGj82npcu6mv0va+HmqcmN2PC/+Rw1NJkmR3I+/y8/Ph7e2NvLw8eHlV/Zc8kbXl3SxF27f/rPLgyCGRQYgf0gZaF37WsAf/XrYbW45V/ZJODa0ah99+0IwdEVmWnPdv/lYjsiJvT1d88mS7Km+/+sBFNJ/2O95Zx/lSbFmRzoDmr6+vVjjx83RlOCGnwoBCZGX9IgLxfDf5Cwz+05K/M9Hp3U1cbNAGjVq+Gy2nb4CuGoempX8N7J/OCdjIuTCgENmAqf1a4dMnI6u1j+z8Ei42aEN0eiPazvyjWnfpAECdGq74ffIDZumJyJ4woBDZiH4RQTj1bj+EVHGulDJf7MhA77nbeDbFimatTUfzab8jt6hqA2HL/CusLvZx6npyUhwkS2SDBszfjkMXC6q9n37h/ljw5P3QqFVm6IpEDFywA6kX8qu1D60aOPhWX3hoNWbqisg2cJAskZ1bO6EbnuscUu39JKTloPm0BN6SbAEGo4SHF/5d7XDi5gIcf7c/wwk5PZ5BIbJhOr0RU38+iNXJ1Z899qGIQMwbGsmzKQrYkJaFSd8fqPJCf2V8PVyQPKOPmboisj1y3r8ZUIjsQELqRby48kC196NRAR8+2gYP39/ADF05N4NRwpa0bPzfzweRV2yo9v6Ca7tjx6s9zdAZke1iQCFyQAmpWXhxZbJZ9uXjrsGeab05wVsVFOkMGPPVXuw4edVs+3y2cyPMGBButv0R2SoGFCIHtSEtCxO/T0GJme7QaRVYC6tf6MzxDgIMRglPLE7EvjO5Zttn07qeSJjYnUGRnAYDCpEDMxglzNt0HAu3nIS5biSu7+OOTVMeYFC5i3UpFzHhhwMwmum3ZX1vN2x66V/89yanw4BC5AQMRglz/zyKT7aeNts+2zTwws8vduFA2v/Ku1mKbnO2IK+4evOZ/NOoLiF486H7zLY/Insi5/3bxUI9EZGZadQqvNy3JXQGI77YkWmWfR48n48mrydgcmxzjOvR1GmDik5vRMfZG6s90do/uaiB+UMj0S8iyGz7JHJkPINC5ADiE9KxeHuG2fdbU6vGC92aYvQDTRx+nESRzoB31h3GutSLyDfDXTn/xAnziG7hJR4iJ6TTG/Ha6oP49cBFs41N+adALy3ee7gNurSo6zBvtDq9EUv+Po2FW07gRnVW87uLmm4umDMkAv0iAs2+byJ7xIBC5MQMRgm7Tl/F2K/3oaDEvGcCynRrVgeLn25vl4M8C4v1GLdyP7Yfv6JIkAMAD1c1vhzRAZ0a+zlMmCMyBwYUIgIAdJi1EZcLdYrt302jQjP/Wngptjm6hdWz2Tdjnd6IT7cex8ebTin+verW1GLvtF6Kfx8ie2Q3AeWTTz7BBx98gOzsbLRp0wYLFixAx44dK92OAYVI3Mzf0rAs6YxFvper+tYty2/2uw8PtPK3WmDJu1mKp5fuwqHz+bDULzi1Ctj3Ri/41tRa6DsS2R+7CCg//PADnnnmGSxatAhRUVH4+OOP8eOPP+LYsWOoV6/ePbdlQCGS59b4lBT8fMCyiwZqALQIqImXe4cpdobl1jiSU/gl+QLyivTIKSgx+/eoTCNfD2x7pYfFvy+RvbGLgBIVFYUOHTpg4cKFAACj0Yjg4GCMHz8er7322j23ZUAhqhqDUcL4b/cj4XCOVb6/VgOo1Wp4uqoR4ueJ2FYBgARsOXYJBoMRBgk4f70IBqOEyGBvdGjsh4wrhdiSfgn5xXr8cy0+dxfAYABKrXiR2r+mFn9OeQDenq7Wa4LIjth8QNHpdPD09MRPP/2EwYMHmx4fMWIEcnNz8dtvv5WrLykpQUnJ/z4V5efnIzg4mAGFqIp0eiM6vPMn8hQaROvoHokMwntD2jj8rddE5mbzE7VduXIFBoMB/v7+5R739/fH0aNH76iPj4/HzJkzLdUekcPTuqhxcGZf5N0sxbPLdiP1Qj705prH3YGN7RaKl/u2tNnBwESOxC7i/9SpU5GXl2f6OnfunLVbInII3p6u+DmuC06+2w+ju4Zaux2bpFEDE3o0xal3++G1fq0YTogsxCpnUOrUqQONRoOcnPLXwXNychAQEHBHvZubG9zc3CzVHpFTeqN/K7zcJwzDP0/E3rN51m7HqtxdVOh1nz8ev78hYprWYSghsgKrBBStVov7778fmzdvNo1BMRqN2Lx5M8aNG2eNlogIty79/PhiF+j0RizbeRpf7jiNy4Wl1m7LYmpoNdg3rZddTkBH5GistljglClTMGLECLRv3x4dO3bExx9/jBs3buDZZ5+1VktE9F9aFzWe794Uz3dvCp3eiK+TMvHX0UvYnXkNpQbHG6vSqLYb1ozvzrtxiGyI1QLKE088gcuXL2P69OnIzs5G27ZtsWHDhjsGzhKRdWld1BjVtTFGdW0Mg1HCnoxrOHftJmatP2z2RfUsKayeJ17t28qmZ8Alcmac6p6IqqxsBeA1KRdQqMBie+bk5+mKf3cOwejuTXl7MJGV2Pw8KNXFgEJke3R6I77YcQord51FTn5xuUnVLMlVDbhqgHpennjzwZZWnXKfiMpjQCEim1C2svK2Y5fwZ1oWLhWWwAiV2WaSdXNRw81FAx9PLR6JbIB/d23MsyNENowBhYiIiGyOnPdvftQgIiIim8OAQkRERDaHAYWIiIhsDgMKERER2RwGFCIiIrI5DChERERkcxhQiIiIyOYwoBAREZHNYUAhIiIim2O11Yyro2zy2/z8fCt3QkRERKLK3rdFJrG3y4BSUFAAAAgODrZyJ0RERCRXQUEBvL2971ljl2vxGI1GXLx4EbVq1YJKZb5VSvPz8xEcHIxz58457Bo/jv4aHf31AY7/Gh399QGO/xod/fUBfI1VJUkSCgoKEBQUBLX63qNM7PIMilqtRoMGDRTbv5eXl8P+hyvj6K/R0V8f4Piv0dFfH+D4r9HRXx/A11gVlZ05KcNBskRERGRzGFCIiIjI5jCg/IObmxtmzJgBNzc3a7eiGEd/jY7++gDHf42O/voAx3+Njv76AL5GS7DLQbJERETk2HgGhYiIiGwOAwoRERHZHAYUIiIisjkMKERERGRzGFCIiIjI5jhVQJk9ezZiYmLg6ekJHx+fCmvOnj2L/v37w9PTE/Xq1cPLL78MvV5/z/1eu3YNw4cPh5eXF3x8fDBq1CgUFhYq8Ark2bp1K1QqVYVfe/fuvet2DzzwwB31Y8eOtWDn8oSEhNzR73vvvXfPbYqLixEXFwc/Pz/UrFkTQ4YMQU5OjoU6FpeZmYlRo0YhNDQUHh4eaNKkCWbMmAGdTnfP7Wz9GH7yyScICQmBu7s7oqKisGfPnnvW//jjjwgLC4O7uztat26NhIQEC3UqX3x8PDp06IBatWqhXr16GDx4MI4dO3bPbZYvX37H8XJ3d7dQx/K99dZbd/QbFhZ2z23s6RhW9DtFpVIhLi6uwnp7OH7bt2/HgAEDEBQUBJVKhV9//bXc85IkYfr06QgMDISHhwdiY2Nx4sSJSvcr92dZDqcKKDqdDo899hheeOGFCp83GAzo378/dDodEhMTsWLFCixfvhzTp0+/536HDx+Ow4cPY+PGjVi3bh22b9+OMWPGKPESZImJiUFWVla5r+eeew6hoaFo3779PbcdPXp0ue3mzJljoa6r5u233y7X7/jx4+9ZP3nyZKxduxY//vgjtm3bhosXL+KRRx6xULfijh49CqPRiMWLF+Pw4cP46KOPsGjRIrz++uuVbmurx/CHH37AlClTMGPGDCQnJ6NNmzbo06cPLl26VGF9YmIihg0bhlGjRuHAgQMYPHgwBg8ejLS0NAt3Lmbbtm2Ii4vDrl27sHHjRpSWlqJ37964cePGPbfz8vIqd7zOnDljoY6r5r777ivX799//33XWns7hnv37i332jZu3AgAeOyxx+66ja0fvxs3bqBNmzb45JNPKnx+zpw5mD9/PhYtWoTdu3ejRo0a6NOnD4qLi++6T7k/y7JJTmjZsmWSt7f3HY8nJCRIarVays7ONj322WefSV5eXlJJSUmF+0pPT5cASHv37jU99vvvv0sqlUq6cOGC2XuvDp1OJ9WtW1d6++2371nXvXt3aeLEiZZpygwaNWokffTRR8L1ubm5kqurq/Tjjz+aHjty5IgEQEpKSlKgQ/OaM2eOFBoaes8aWz6GHTt2lOLi4kx/NxgMUlBQkBQfH19h/eOPPy7179+/3GNRUVHS888/r2if5nLp0iUJgLRt27a71tztd5KtmjFjhtSmTRvhens/hhMnTpSaNGkiGY3GCp+3t+MHQPrll19MfzcajVJAQID0wQcfmB7Lzc2V3NzcpO++++6u+5H7syyXU51BqUxSUhJat24Nf39/02N9+vRBfn4+Dh8+fNdtfHx8yp2RiI2NhVqtxu7duxXvWY41a9bg6tWrePbZZyut/fbbb1GnTh2Eh4dj6tSpuHnzpgU6rLr33nsPfn5+iIyMxAcffHDPy3L79+9HaWkpYmNjTY+FhYWhYcOGSEpKskS71ZKXlwdfX99K62zxGOp0Ouzfv7/cv71arUZsbOxd/+2TkpLK1QO3fi7t4VgBt44XgEqPWWFhIRo1aoTg4GAMGjTorr9zbMWJEycQFBSExo0bY/jw4Th79uxda+35GOp0OnzzzTf497//DZVKddc6ezt+/5SRkYHs7Oxyx8jb2xtRUVF3PUZV+VmWyy5XM1ZKdnZ2uXACwPT37Ozsu25Tr169co+5uLjA19f3rttYy5IlS9CnT59KV4J+8skn0ahRIwQFBSE1NRWvvvoqjh07hp9//tlCncozYcIEtGvXDr6+vkhMTMTUqVORlZWFuXPnVlifnZ0NrVZ7xzgkf39/mztmtzt58iQWLFiADz/88J51tnoMr1y5AoPBUOHP2dGjRyvc5m4/l7Z+rADAaDRi0qRJ6Ny5M8LDw+9a16JFCyxduhQRERHIy8vDhx9+iJiYGBw+fFjRldurKioqCsuXL0eLFi2QlZWFmTNnomvXrkhLS0OtWrXuqLfnY/jrr78iNzcXI0eOvGuNvR2/25UdBznHqCo/y3LZfUB57bXX8P7779+z5siRI5UO4LInVXnN58+fxx9//IFVq1ZVuv9/jp9p3bo1AgMD0bNnT5w6dQpNmjSpeuMyyHmNU6ZMMT0WEREBrVaL559/HvHx8Ta7TkZVjuGFCxfQt29fPPbYYxg9evQ9t7WFY0hAXFwc0tLS7jk+AwCio6MRHR1t+ntMTAxatmyJxYsX45133lG6TdkefPBB058jIiIQFRWFRo0aYdWqVRg1apQVOzO/JUuW4MEHH0RQUNBda+zt+NkLuw8oL7300j2TLQA0btxYaF8BAQF3jEAuu7MjICDgrtvcPiBIr9fj2rVrd92muqrympctWwY/Pz8MHDhQ9veLiooCcOvTu6Xe3KpzXKOioqDX65GZmYkWLVrc8XxAQAB0Oh1yc3PLnUXJyclR7JjdTu7ru3jxIv71r38hJiYGn3/+uezvZ41jWJE6depAo9HcccfUvf7tAwICZNXbinHjxpkGzcv9FO3q6orIyEicPHlSoe7My8fHB82bN79rv/Z6DM+cOYNNmzbJPvNob8ev7Djk5OQgMDDQ9HhOTg7atm1b4TZV+VmWzSwjWexMZYNkc3JyTI8tXrxY8vLykoqLiyvcV9kg2X379pke++OPP2xqkKzRaJRCQ0Oll156qUrb//333xIA6eDBg2buTBnffPONpFarpWvXrlX4fNkg2Z9++sn02NGjR212kOz58+elZs2aSUOHDpX0en2V9mFLx7Bjx47SuHHjTH83GAxS/fr17zlI9qGHHir3WHR0tM0OsDQajVJcXJwUFBQkHT9+vEr70Ov1UosWLaTJkyebuTtlFBQUSLVr15bmzZtX4fP2dgzLzJgxQwoICJBKS0tlbWfrxw93GST74Ycfmh7Ly8sTGiQr52dZdp9m2YudOHPmjHTgwAFp5syZUs2aNaUDBw5IBw4ckAoKCiRJuvWfKjw8XOrdu7eUkpIibdiwQapbt640depU0z52794ttWjRQjp//rzpsb59+0qRkZHS7t27pb///ltq1qyZNGzYMIu/vrvZtGmTBEA6cuTIHc+dP39eatGihbR7925JkiTp5MmT0ttvvy3t27dPysjIkH777TepcePGUrdu3SzdtpDExETpo48+klJSUqRTp05J33zzjVS3bl3pmWeeMdXc/holSZLGjh0rNWzYUNqyZYu0b98+KTo6WoqOjrbGS7in8+fPS02bNpV69uwpnT9/XsrKyjJ9/bPGno7h999/L7m5uUnLly+X0tPTpTFjxkg+Pj6mu+eefvpp6bXXXjPV79y5U3JxcZE+/PBD6ciRI9KMGTMkV1dX6dChQ9Z6Cff0wgsvSN7e3tLWrVvLHa+bN2+aam5/jTNnzpT++OMP6dSpU9L+/fuloUOHSu7u7tLhw4et8RIq9dJLL0lbt26VMjIypJ07d0qxsbFSnTp1pEuXLkmSZP/HUJJuvdk2bNhQevXVV+94zh6PX0FBgek9D4A0d+5c6cCBA9KZM2ckSZKk9957T/Lx8ZF+++03KTU1VRo0aJAUGhoqFRUVmfbRo0cPacGCBaa/V/azXF1OFVBGjBghAbjj66+//jLVZGZmSg8++KDk4eEh1alTR3rppZfKpee//vpLAiBlZGSYHrt69ao0bNgwqWbNmpKXl5f07LPPmkKPLRg2bJgUExNT4XMZGRnl/g3Onj0rdevWTfL19ZXc3Nykpk2bSi+//LKUl5dnwY7F7d+/X4qKipK8vb0ld3d3qWXLltK7775b7ozX7a9RkiSpqKhIevHFF6XatWtLnp6e0sMPP1zuTd9WLFu2rML/s/88+WmPx3DBggVSw4YNJa1WK3Xs2FHatWuX6bnu3btLI0aMKFe/atUqqXnz5pJWq5Xuu+8+af369RbuWNzdjteyZctMNbe/xkmTJpn+Pfz9/aV+/fpJycnJlm9e0BNPPCEFBgZKWq1Wql+/vvTEE09IJ0+eND1v78dQkm6dCQcgHTt27I7n7PH4lb133f5V9jqMRqP05ptvSv7+/pKbm5vUs2fPO157o0aNpBkzZpR77F4/y9WlkiRJMs/FIiIiIiLz4DwoREREZHMYUIiIiMjmMKAQERGRzWFAISIiIpvDgEJEREQ2hwGFiIiIbA4DChEREdkcBhQiIiKyOQwoREREZHMYUIiIiMjmMKAQERGRzfl/Z8veS2xNpyAAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAigAAAHHCAYAAACV96NPAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA63UlEQVR4nO3deXxU9b3/8XcCJIQlYVGyVIjBKovIotE02J+2NSVarkLl0uKl16UoaoMKeF24l6XQKIIWEbTG+pDgbrWtVr0WLqBClYgkoiJBCjZCEBIrmgxr1u/vDzpjZjJZJpnlnDOv5+Mxjwdz5szhe3Jm+cz3+/l+vjHGGCMAAAALiY10AwAAAHwRoAAAAMshQAEAAJZDgAIAACyHAAUAAFgOAQoAALAcAhQAAGA5BCgAAMByCFAAAIDlEKAAUWDp0qUaOnSoGhsbw/r/TpkyRT/72c86/PzGxkaNGDFC99xzTxBbFRyHDh1Sz5499cYbb0S6KYAjEaAADudyubRkyRLdddddio0Nzlv+nnvu0RVXXKHk5GTFxMTo17/+td/97rrrLv3pT3/SRx991OKxTj/99BYfe/7551VeXq4ZM2Z0ssXtt2vXLs2aNUtjx45V9+7dFRMTo88//7zZfv3799f111+vefPmha1tQDQhQAEcbtWqVaqvr9dVV10VtGPOnTtXW7du1ZgxY1rdb8yYMcrMzNRvf/tbr+1r165ttm9DQ4PWr1/vte3+++/XlClTlJSU1PlGt1NRUZFWrFihw4cPa9iwYa3ue9NNN+mDDz7Qm2++GabWAdGDAAVwuMLCQl1xxRXq3r170I5ZVlamgwcP6plnnmlz35/97Gf685//rCNHjkiSjhw5oiVLlmjcuHGenomPPvpI2dnZWrVqldzrl27btk0fffRRp4aIfJ1++ukt9va4XXHFFaqqqtL27ds1derUVvcdNmyYRowYodWrVwetjQBOIkABHKysrEwff/yxcnJyPNsWLFig2NhYbdiwwWvf6dOnKy4urtXhGLfWhmV8/fjHP9bRo0e1bt06SVKvXr305ptvKi8vTz/96U918OBB3XTTTVq2bJmee+45xcTESJJeeeUVxcXF6aKLLvIc6/jx4xo6dKiGDh2q48ePe7Z//fXXSk1N1dixY9XQ0NDutvnTr18/9e7dO6Dze+2118TC8EBwEaAADrZ582ZJ0rnnnuvZNnfuXI0ePVrTpk3T4cOHJZ0ccnn88cc1f/58jRo1KqhtGD58uBISEvTuu+96bY+NjfUEI5K8/u1u+4gRI9StWzfPtoSEBD355JPas2eP/ud//sezPS8vT9XV1Vq9erW6dOkS1Pa35bzzzlNVVZV27NgR1v8XcDoCFMDBPv30U0lSRkaGZ1u3bt301FNP6eDBg5o9e7aqqqo0bdo0ZWZm6u677w56G7p27aqBAweqtLRU0skhnnHjxmnlypX605/+pNTUVBUUFGjWrFmaOnWqpyfi008/9Wq3W1ZWlu6880499NBD+tvf/qY//vGPeuGFF7R48WKdddZZQW9/WwYPHixJnvMDEBxdI90AAKFz6NAhde3aVb169fLaPmLECC1cuFBz5szRxx9/rK+++kr/93//p65dQ/OR0LdvX3311VeSTg7xzJ49W5deeqnn8VGjRqmoqEhvvvmmpyfl0KFD6tu3r9/j/frXv9brr7+ua665RkeOHNHFF1+sW2+91WufmpoaTw+RW2Njo44dO+Zpi9spp5zSqXOT1OyYADqHHhQgSt1xxx0aNWqU3n//fS1YsEDDhw/3eryiosLr1jTnI1DGGK8hnKbBiVuXLl304x//uNnz/ImLi9OqVatUVlamw4cPq7CwsNkQ0fPPP69TTz3V61ZeXq7777+/2fbOcLfR9/8H0Dn0oAAO1r9/f9XX1+vw4cPNEj//8Y9/aPfu3ZKk7du3N3tuamqq1/3CwkJde+21HWrHN998ozPPPNPvY/5qjEgn2/7NN9+0eEz3VOUTJ05o9+7dzYaDcnNzPYm5br/4xS80btw4XX311QG0vnXuNnamFwZAcwQogIMNHTpU0snZPCNHjvRsb2xs1LXXXqvExETNnDlT9957r/793/9dV155pWcf3y/3s88+u0NtqK+vV3l5ua644oqA215WVub3sY8//liLFi3Sddddpw8//FDXX3+9tm/f7lUvJTU1tVmQ1b17dw0ePNhrVlNnudvYVs0UAIEhQAEcLDs7W5JUXFzsFaAsW7ZMmzdv1quvvqrx48fr7bff1s0336yLLrrI0xMQrC/x0tJSnThxQmPHjg247ffdd59qamoUHx/v2V5XV6drr71WaWlpeuihh1RWVqbzzz9fs2bN0qpVq4LS5kCUlJQoKSmpwwEcAP/IQQEcbPDgwRoxYoRXhdadO3dq3rx5uvbaa3X55ZcrNjZWq1ev1pEjR/SrX/2qXcd9+umnlZ+fr2XLlkmSNm3apPz8fOXn52vv3r1e+65bt049evRoll/SlgkTJqiurk4bN2702p6fn68PP/xQq1atUu/evTVy5EjNnz9fhYWFQVkXp7q62nMu7loxDz/8sPLz8/Xwww8323/dunW6/PLLyUEBgs0AcLRly5aZXr16mWPHjpn6+npz/vnnm9NOO81UVVV57ffQQw8ZSeYPf/hDm8e8+OKLjSS/t7feestr36ysLPOLX/yiQ20fOXKkmTZtmud+SUmJ6dq1q7nlllu89nOfV1pamvnmm29aPF56erpZsGBBq/9nWVlZi+eWnp7ute/OnTuNJLN+/fpATw1AG2KMofwh4GTV1dUaPHiwli5dqmnTpoX1//7www917rnn6oMPPtDo0aMDfv7TTz+tvLw87du3T3369Al6+zpr5syZ2rRpk0pKSuhBAYKMAAWIAkuWLFFhYaFKS0uDtqJxe0yZMkWNjY168cUXO/T8xsZGjRw5UldddZVX5VgrOHTokNLT0/Xiiy/qJz/5SaSbAzgOAQoAALAckmQBAIDlEKAAAADLIUABAACWQ4ACAAAsx5aVZBsbG3XgwAH17t2bqX0AANiEMUaHDx9WWlpamzMKbRmgHDhwQAMHDox0MwAAQAeUl5frtNNOa3UfWwYo7lVZy8vLlZiYGOHWAACA9nC5XBo4cGCz1dX9sWWA4h7WSUxMJEABAMBm2pOeQZIsAACwHAIUAABgOQQoAADAcghQAACA5RCgAAAAywk4QNm0aZMuv/xypaWlKSYmRq+88orX48YYzZ8/X6mpqUpISFBOTo52797ttc/XX3+tqVOnKjExUX369NG0adN05MiRTp0IAABwjoADlKNHj2rUqFF65JFH/D6+dOlSrVixQgUFBdqyZYt69uyp3NxcnThxwrPP1KlTtWPHDq1bt06vv/66Nm3apOnTp3f8LAAAgKPEGGNMh58cE6OXX35ZEydOlHSy9yQtLU233367/uu//kuSVF1dreTkZK1evVpTpkzRzp07NXz4cG3dulWZmZmSpDVr1ugnP/mJ9u/fr7S0tDb/X5fLpaSkJFVXV1MHBQAAmwjk+zuoOShlZWWqqKhQTk6OZ1tSUpKysrJUVFQkSSoqKlKfPn08wYkk5eTkKDY2Vlu2bPF73JqaGrlcLq8bAABwrqAGKBUVFZKk5ORkr+3JycmexyoqKjRgwACvx7t27ap+/fp59vG1ePFiJSUleW6swwMAgLPZYhbPnDlzVF1d7bmVl5dHukkAACCEghqgpKSkSJIqKyu9tldWVnoeS0lJ0Zdffun1eH19vb7++mvPPr7i4+M96+6w/g4AAM4X1AAlIyNDKSkp2rBhg2eby+XSli1blJ2dLUnKzs5WVVWVSkpKPPu8+eabamxsVFZWVjCbAwAAbCrg1YyPHDmiPXv2eO6XlZXpww8/VL9+/TRo0CDNnDlT+fn5OvPMM5WRkaF58+YpLS3NM9Nn2LBhuvTSS3XDDTeooKBAdXV1mjFjhqZMmdKuGTyhZIzR8boGSVJCty7tWm0RAAAEX8ABSnFxsX74wx967s+ePVuSdM0112j16tW68847dfToUU2fPl1VVVX6/ve/rzVr1qh79+6e5zz77LOaMWOGLrnkEsXGxmrSpElasWJFEE6nc47XNWj4/LWSpMz0vnrppmyCFAAAIqBTdVAiJVR1UI7V1nsCFEkqXZSrHnEBx3AAANhWKEcTIlYHxe4SunVR8dyctncEAMCBjDH694IiDZ+/VsPnr/UEKpFAgNJETEyMesR18dy3X98SAAAdd7yuQSV7v4l0MyQRoLRqckGRbDgCBgBApxXPzVFCty5t7xgiBCg+Erp10fDUk+NipQddEe3eAgAgXIwxOlb77Xdej7jIzmYlQPERExOjl27KjnQzAAAIG3fuSWb++kg3xYMAxY+mASMjPAAAp/PNPclM7xvR4R2JAKVN5KEAAKJJ8dwcS9QBI0DxgzwUAEA0afo7PNK5J24EKH6QhwIAiBbGGE0uKIp0M5ohQGlB0+DxWG0DwzwAAEc6Xteg0oMuSdLw1MSI5564EaC0Q2b+enJRAACOZ4XcEzcClBYkdOuizPS+nvvFe78hFwUA4DhNf3tbJDaRRIDSInceCmvzAACcyqr5JxIBSqtYmwcA4GRWzT+RCFACQh4KAMCprJR/IhGgtImaKACAaGCh2EQSAUqbqIkCAED4EaC0A2vzAACcxnf1YqshQAkQeSgAALuz4urFvghQ2oE8FACAk1hx9WJfBCjt4JuHQul7AIBTWGX1Yl8EKO3U9LpR+h4AYFe+uSdWWb3YV9dIN8Au3KXvi//VJeYufd8jjj8hAMAe3LknTYd3rIoelHai9D0AwO7skHvixs//APiWvgcAwK6K5+aof884Sw7vSPSgAAAQlayae+JGgNIJzOYBANiF1Quz+WKIpxMy89crM72vJadnAQDgZqfkWDd6UALkns3j5p7NAwCAVdkpOdaNHpQAuWfzHDpaa+kSwQAA+GP15Fg3elA6gNk8AAC7snpyrBsBShCQJwsAsDI7fk8RoAQBZe8BAFZljNHkgqJINyNgBCgdxArHAAA7OF7XoNKDLknS8NREyyfHuhGgdBArHAMA7MZOZTEIUDqBFY4BAHZik9hEEgFKp1ATBQBgZXarHtsUdVA6gZooAACrsmP12KboQekkaqIAAKzIjtVjm6IHBQAAh7NL9dim6EEBAMDh7FI9tikClCBjujEAINLsnBzrxhBPkGXmr1dmel9bzTUHADiH3ZNj3ehBCQKmGwMArMLuybFu9KAEAdONAQBWZMfkWDd6UILEd7pxyeffkIsCAAgr39wTOybHutGDEiL/uep9clEAAGHjlNwTN3pQgohcFABApDgl98SNHpQgIhcFAGAFds49caMHJch8c1FIQwEAhJudc0/cCFBCbHJBEcmyAAAEiAAlBBK6ddHw1ERJUulBF3koAICQc9pvYQKUEHDnogAAEA7GGE0uKIp0M4KKACVEmg79OS2qBQBYy/G6BpUedEmShqcm2nr2jhsBShiQhwIACKWmXzFOqb9FgBIi5KEAAMLBd3jHAbGJJAKUkCEPBQAQDk4c3pFCEKA0NDRo3rx5ysjIUEJCgs444wz95je/8RriMMZo/vz5Sk1NVUJCgnJycrR79+5gNyXinBLFAgDswSnDO1IIApQlS5bo0Ucf1cMPP6ydO3dqyZIlWrp0qVauXOnZZ+nSpVqxYoUKCgq0ZcsW9ezZU7m5uTpx4kSwm2MZx2obyEMBAASV7+KADolNJIWg1P3mzZs1YcIEjR8/XpJ0+umn6/nnn9f7778v6eQfc/ny5Zo7d64mTJggSXrqqaeUnJysV155RVOmTAl2kywhM389iwcCAILGaYsD+gp6D8rYsWO1YcMG/f3vf5ckffTRR3rnnXd02WWXSZLKyspUUVGhnJwcz3OSkpKUlZWloiL/c7hramrkcrm8bnbA4oEAgFBx2uKAvoLeg3L33XfL5XJp6NCh6tKlixoaGnTPPfdo6tSpkqSKigpJUnJystfzkpOTPY/5Wrx4sRYuXBjspoacv8UDGeUBAASbExYH9BX0HpQXX3xRzz77rJ577jl98MEHevLJJ/XAAw/oySef7PAx58yZo+rqas+tvLw8iC0OLd/FA6mJAgAIhqZfJU5YHNBX0HtQ7rjjDt19992eXJJzzjlHe/fu1eLFi3XNNdcoJSVFklRZWanU1FTP8yorKzV69Gi/x4yPj1d8fHywmxo27poopQddnpooPeKC/qcHAEQJJ5a29xX0HpRjx44pNtb7sF26dFFjY6MkKSMjQykpKdqwYYPncZfLpS1btig725l1Q6iJAgAIJqfWPmkq6D/jL7/8ct1zzz0aNGiQzj77bG3btk3Lli3TL3/5S0knv6xnzpyp/Px8nXnmmcrIyNC8efOUlpamiRMnBrs5ltG05+1YbYMSujmvOw4AEB5OLG3vK+gBysqVKzVv3jz96le/0pdffqm0tDTdeOONmj9/vmefO++8U0ePHtX06dNVVVWl73//+1qzZo26d+8e7OZYElOOAQAd5dTS9r5ijA0zNl0ul5KSklRdXa3ExMRIN6dd3C+o4iZTwkoX5ZKLAgAIyLHaeg2fv1bSyeGd/731+7b5sRvI9zdr8YSJOw+leO639V/sFxoCAKzEyT3xBChhxJRjAEBnOLm0vS/GF8KMKccAgI5weml7X/SghBlTjgEAHeH00va++OkeAUw5BgAEqmlGgBNL2/uiByXCMvPXk4sCAGiV79RiJ5a290WAEgGscgwACEQ0VI71RYASAf6mHAMA0B5OnlrcFAFKhPhOOT5W28AwDwDAr6ZfD1EQm0giQLEMclEAAP5Ew8rF/hCgRBC5KACAtkRj/olEgBJR5KIAAFrjWzk2WvJPJOqgRJxvLgoAAJL/yrFREptIogfFckhBAQBI0Vc51hcBisWQKAsA8FU8NyeqhnckAhRLcC8gKMmzgCAAILo1/a0aDZVjfRGgWAALCAIAmorWqcVNEaBYhO8CggzzAED0itapxU0RoFgQRdsAAG7RlnviRoBiERRtAwD4E4WxiSQCFMugaBsAQGpenC1aUajNQnyLtjHCAwDRxV9xtmhFD4qFkYcCANEl2ouzNUUPisW4a6KUHnR5aqL0iOMyAYDT+Q7tFM/NUf+ecVGZICvRg2I51EQBgOjjHtrJzF/v2RaNxdmaIkCxIGqiAEB0YWinOcYOLC4zf70y0/tG7Tx4AIg20T6040YPigVREwUAole0D+24EaBYEDVRACC6MJLfHAGKRVETBQCiAwsD+keAYhPURAEAZ2JhQP8IUCzMXRNFkqcmCgDAOXxrnzAh4lsEKBbmWxOFKccA4Bz+ap8Qm3yLAMXimr5YM/PXM9QDAA5B7ZPWUQfF4txTjov/9SJ2Tzmm/D0AOAe1T5qjB8XimHIMAM5H7ZPmCFBsgCnHAOAsvsmxaI4AxYbIQwEA+/KXHIvmCFBsginHAOAMJMe2DwGKTfhOOQYA2F/x3Bxqn7SAAMVGmr5+qYkCAPbjm3tCcmzLmKtqU5n565WZ3pfIGwBswp170nR4By2jB8VG3DVR3Nw1UQAA1kfuSWDoQbERdx7KoaO1ZH8DgI1RmK1t9KDYjG9NFACA/ZB70jZ6UGzOnWyV0I0XOwBYGfMaAkOAYnPuoR4SZgHAuowxmlxQFOlm2ApDPDbkmywrkTALAFZ2vK5BpQddkqThqYkkx7YDPSg25E6WPV7XoGO1DSTMAoCN0NvdPgQoNnUyWZbLBwBW51ucjdikffiGcxASsADAWijO1nHkoDgIqxwDgLVQnK3j6EGxOfcqx6UHXZ5Vjhn6AQDroThbYOhBsTlWOQYAe6A4W2AIUByAVY4BwHp8k2MRGMYCHIZVjgEg8kiO7Tx6UByAVY4BwFpIju28kAQoX3zxhX7xi1+of//+SkhI0DnnnKPi4mLP48YYzZ8/X6mpqUpISFBOTo52794diqZEBXceSvHcHM82hnoAIDJ8h3aK5+bQq90BQQ9QvvnmG1144YXq1q2b/vrXv6q0tFS//e1v1bfvt7/wly5dqhUrVqigoEBbtmxRz549lZubqxMnTgS7OVHDd5XjzPz1TDsGgDBzD+00rfBNcmzHBD0HZcmSJRo4cKAKCws92zIyMjz/NsZo+fLlmjt3riZMmCBJeuqpp5ScnKxXXnlFU6ZMCXaTooZ7qKf4X92K7qEeph0DQHgwtBM8Qe9BefXVV5WZmanJkydrwIABGjNmjB5//HHP42VlZaqoqFBOzrfDEUlJScrKylJRkf+VHmtqauRyubxuaM7fUA8AIDIY2umcoAco//jHP/Too4/qzDPP1Nq1a3XzzTfr1ltv1ZNPPilJqqiokCQlJyd7PS85OdnzmK/FixcrKSnJcxs4cGCwm+0YvkM9AIDIYGinc4IeoDQ2Nurcc8/VvffeqzFjxmj69Om64YYbVFBQ0OFjzpkzR9XV1Z5beXl5EFvsbKSgAED48JkbPEEPUFJTUzV8+HCvbcOGDdO+ffskSSkpKZKkyspKr30qKys9j/mKj49XYmKi1w3tQ6IsAISHMUaTC/ynKiBwQQ9QLrzwQu3atctr29///nelp6dLOpkwm5KSog0bNnged7lc2rJli7KzKdkeDO71eSR51ucBAITW8boGlR48mSM5PDWR5NhOCnqAMmvWLL333nu69957tWfPHj333HP6/e9/r7y8PEkncyRmzpyp/Px8vfrqq9q+fbuuvvpqpaWlaeLEicFuTlTyXZ+HDhQACC+SYzsv6AHK+eefr5dfflnPP/+8RowYod/85jdavny5pk6d6tnnzjvv1C233KLp06fr/PPP15EjR7RmzRp179492M2JWk3fFwzzAEB4EZt0Xoyx4TeXy+VSUlKSqquryUdpgTFG41e84+luLF2USz0UAAgBY4yO1zXoWG2Dp0Abn7n+BfL9zV/PodzDPGcvWBvppgCAY7EoYOiwWKCDNe1iZG0eAAg+38qxEtVjg4UelCiRmb9emel9SdwCgBApnpujHnFdlNCNAm3BQA+Kg7nX5nFzr80DAAi+HnFd1COuK8FJkBCgOBhr8wBA6BhjdKyWH32hwhCPw/muzXOstoHuRwDoJJJjQ48elCiTmb+euigA0Em+ybEkxgYfPShRwJ2LUvyvN5M7F4U5+gDQecVzc9S/Zxw900FGD0oUIBcFAEKnRxzD5qFAgBIlfHNRAAAdQ3JseNDHH6VIlgWAwJEcGz70oEQpkmUBIHAkx4YPPShRhGRZAAgekmNDix6UKEKyLAB0nG/uCcmxocVP5yhD4TYACBy5J+FHD0qUIxcFANpG7kn40YMShchFAYCOI/ckPOhBiULkogBA+5F7Ehn8ZI5S5KIAQNvIPYkcelAgiVwUAPCH3JPIoQclipGLAgDtR+5JeNGDEsXIRQGAlpF7Eln8VI5yLCIIAM2RexJ59KDAy7HaBvJQAEQ9ck8ijx4UeMnMX6/M9L566aZsujIBQOSeRAo9KPAky7q5k2UBAOSeRAoBCkiWBYAmfJNjERkM8UAShdsAQCI51kroQYFfFG4DEI1IjrUOelDgQeE2ANGu6W8ykmMjix4UePjLRWHaMYBoYYzR5IIiz32SYyOLAAVefHNRGOoBEC2O1zWo9KBLkjQ8NZGhnQgjQEEzTDsGEO2oBRV5BChohmnHAKKN79RiYpPII/sRfjHtGEC0YGqxNdGDgnYhFwWAUzG12JroQUGLmHYMINowtdg66EFBi8hFAeB0vrknTC22Dn4Ko1W+uSgA4BTknlgbPSgICIXbADgFuSfWRg8KApKZv16Z6X2pEQDAUcg9sR56UNAmCrcBcBpyT6yPHhS0yZ0se+horTLz10uiLgoA+yL3xB7oQUG7sEYPAKcg98Qe6EFBu1EXBYDd+Q7tkHtiXXyzoN38DfUAgF34G9oh98S6GOJBQPyt0cMwDwA7YGjHXuhBQacw7RiAHTG0Y330oCBgTDsGYDfGGJV8ztCOndCDgoCRiwLATphWbE8EKOgQf7kokqiNAsByyD2xJwIUBIW7J4V8FABWwrRi+yJAQYf51kWRqI0CwDqYVmxvfIugw9y5KMfrGnSstoF8FACWwtCOvRGgoFNO5qLwMgJgbQzt2A/TjAEAjsfQjv0QoCDoqC4LAOiskAco9913n2JiYjRz5kzPthMnTigvL0/9+/dXr169NGnSJFVWVoa6KQgTVjoGEGm+s3dgPyENULZu3arHHntMI0eO9No+a9Ysvfbaa3rppZe0ceNGHThwQFdeeWUom4IQo7osAKtwz94hcd/eQhagHDlyRFOnTtXjjz+uvn2//eKqrq7WE088oWXLlulHP/qRzjvvPBUWFmrz5s167733QtUchJh7Rk/x3JxINwVAlGP2jjOELEDJy8vT+PHjlZPj/YVVUlKiuro6r+1Dhw7VoEGDVFRU5PdYNTU1crlcXjdYDysdA4g0f4XZKB5pTyGZH/rCCy/ogw8+0NatW5s9VlFRobi4OPXp08dre3JysioqKvweb/HixVq4cGEomooQYqVjAOFEYTZnCXoPSnl5uW677TY9++yz6t69e1COOWfOHFVXV3tu5eXlQTkugo9cFACRwtCOswS9B6WkpERffvmlzj33XM+2hoYGbdq0SQ8//LDWrl2r2tpaVVVVefWiVFZWKiUlxe8x4+PjFR8fH+ymIgRY6RiAFVCYzf6CHqBccskl2r59u9e26667TkOHDtVdd92lgQMHqlu3btqwYYMmTZokSdq1a5f27dun7OzsYDcHEeAvF4VVjgGEE0M79hf0AKV3794aMWKE17aePXuqf//+nu3Tpk3T7Nmz1a9fPyUmJuqWW25Rdna2vve97wW7ObAAclEAhBp1T5wnIouoPPjgg4qNjdWkSZNUU1Oj3Nxc/e53v4tEUxAivisds8oxgFDxlxwL+4sxNpwH6nK5lJSUpOrqaiUmJka6OWiBMcYrF6V0US4BCoCgO1Zbr+Hz13ru02NrXYF8f/NtgZDxzUUBgFAjOdY5WCwQYUPhNgDB5pt7QnKsc9CDgrAhWRZAMJF74mz0oCCkKNwGIFQozOZs9KAgpPwVbqMuCoBgI/fEeehBQcj5Jstm5q/X5IIi8lEAdMjJvJN6ck8cjh4UhAV1UQAEA3kn0YMeFISFe6ineG5OpJsCwMZ8804kck+cip+vCBvW6AHQGb5Tiovn5qhHXBc+RxyKAAURw7RjAO3lb2inR1wXhokdjCEehBXTjgF0BFOKow+hJ8LK37RjAAgEU4qjAwEKws5fLookxpEBtKhpVQKmFEcHAhREnLsnhXwUAP4YYzS5oCjSzUCYkYOCiPDNRZHIRwHg3/G6BpUedEmShqcmknsSJehBQUS4c1GO1zXoWG0D+SgAmjHGeD4j3OhljR4EKIiYk7ko3i9BaqMAkFquGMtHQ/RgiAeWwjo9ACQqxoIeFFgA6/QAaA0VY6MTPSiIONbpAdAad8VYgpPoQoACS/BXG4VhHiA6+a65g+hEHzosiXV6gOjUUnIsog89KLAM1ukBwJo7cKMHBZbhb50eph0D0Ys1d6IbPSiwFN9cFKYdA9HhZN5JvVfuCWvuRDd6UGA5TDsGogt5J/CHHhRYDtOOgehCUTb4w09SWJK/aceSyEcBHI6ibHAjQIEtuJNmmXoMOJu7KBvAEA8sy3fascTUY8BJ/CXGAm6EqbAsdy6Ke7l1dy8KAPsjMRZtIUCBpZ3MRfF+mVIbBbA/EmPRFgIU2A5l8AFnITEW/pCDAlugDD7gHL6LAbJaMfyhBwW24K8MPgD7IfcE7UUPCmzDX20USuAD9sJigGgvelBgW+SiAPbGYoBoDT0osBVyUQB7YjFABIoeFNiKv1wUph0D1kbeCTqCHhTYjm8uSmb+ek0uKCIfBbAoap6gI+hBgS25h3qK//Wh5x7qYQ0PwNqoeYL2ogcFtuQe6imemxPppgAIADVP0F783IRt+Zt2LIlfZgDgAAQocAx30ixTjwFrMMZ4FvsEAkWAAlvzzUWRyEcBrICZO+gsPsFha+5cFPevNMrgA9bAzB10FgEKbO9kLor3S5l8FMA6mLmDjiBAgSORjwJEhr+8E/fMHSAQvGLgGOSjAJFF3gmCiU9tOEZL+SiUwgfCg7wTBBMBChzFXz4Kqx4D4UfeCTqLSrJwJFY9BsLr5GrFzfNOCE7QUfSgwJH8rXoMIDTIPUEoEKDAsSiFD4SHb+4JeScIBgIURA2mHgPB5W9KcfHcHPXvGcf7C51GgAJHY+oxEBotDev0iKOHEsER9CTZxYsX6/zzz1fv3r01YMAATZw4Ubt27fLa58SJE8rLy1P//v3Vq1cvTZo0SZWVlcFuCuDJRSldlKviuTmRbg7gGEwpRqgFPUDZuHGj8vLy9N5772ndunWqq6vTuHHjdPToUc8+s2bN0muvvaaXXnpJGzdu1IEDB3TllVcGuymApG+nHvvmoxhjItgqwDmK5+aodFEuQ6cIqqD3ca9Zs8br/urVqzVgwACVlJTooosuUnV1tZ544gk999xz+tGPfiRJKiws1LBhw/Tee+/pe9/7XrCbBDRDbRSgYyhlj3AJ+SuqurpaktSvXz9JUklJierq6pST8213+9ChQzVo0CAVFRURoCBkfPNRyEUBAsN0YoRTSD+ZGxsbNXPmTF144YUaMWKEJKmiokJxcXHq06eP177JycmqqKjwe5yamhrV1NR47rtcrpC1Gc7lrzZK01+BTD8GWkfeCcIppAFKXl6ePvnkE73zzjudOs7ixYu1cOHCILUK0cy3NkrTIm4M+QDtRyl7hFrISt3PmDFDr7/+ut566y2ddtppnu0pKSmqra1VVVWV1/6VlZVKSUnxe6w5c+aourracysvLw9VsxEFfMvgu1EOH/DvZBn7ekrZI6yC3oNijNEtt9yil19+WW+//bYyMjK8Hj/vvPPUrVs3bdiwQZMmTZIk7dq1S/v27VN2drbfY8bHxys+Pj7YTUWUarrqsSSvlY8BeCPvBJES9AAlLy9Pzz33nP7yl7+od+/enrySpKQkJSQkKCkpSdOmTdPs2bPVr18/JSYm6pZbblF2djYJsggbf6seA2iOvBNEStA/oR999FFJ0g9+8AOv7YWFhbr22mslSQ8++KBiY2M1adIk1dTUKDc3V7/73e+C3RQgYKzXA5zUUhl78k4QLjHGhtWqXC6XkpKSVF1drcTExEg3BzZ3rLZew+ev9dpGwiyiWUvDOqWLcul5RKcE8v0dsiRZwC78Jc2SMItoxrAOrIBQGFGvadIsCbOAN4Z1ECkEKID8J82SjwJQxh6Rw6sOaIG7J4V8FAAIP3JQgCbIR0G0+rYYm3dBNiBS6EEBmiAfBdGIYmywIgIUwAdF3BBt/M3akZi5g8jiUxhoB1Y9RrRwz9qReK0jsghQgHZg1WM4kb9qsczagVXwKgRa4E6YLfbp+nYnzfIhDjsj7wRWxycs0AJWPYaTUS0WVkeAArSipYRZclJgVywCCLsgQAE6gJwU2FFLwzrkncCKKNQGtJO/Im4ShdxgHwzrwE4ImYF2IicFTsKwDqyOAAUIQGs5KXzQw6qYTgw74tUJBEFm/npyUWBJTCeGXZGDAnSQb04KuSiwIvJOYFf0oAAd5M5JOXS01pOLwvRjWAXTiWF3BChAJ5zMSfn2lyjTj2EFTCeGEzDEA3QS049hNQzrwAkIpYFOYvoxrIxhHdgVAQoQBJTEhxUwnRhOwqsWCCFyUhAuTCeG05CDAgQZOSmIBPJO4DT0oABBRk4KwonpxHAqAhQgBNrKSeGLA8HAdGI4Ga9gIIzcPSnkoyAYGNaBkxGgACHmzkkpbvJF4s5H4VcuAuUe0pHEsA4cjU9HIMSa5qQ0zUdhCjIC1dpMHYZ14DS8moEw8JeTwhRkBMrfkI7EsA6ciQAFCCN/wz0SQz4InHtIR6IHDs7EpyEQRkxBRqBayjlhSAdOx6sbCLP2lMWX+FUMqsMiuhGgABbh25NCXgrIOUE0I0ABIqilnBSJvBR4I+cE0YZPPiCCfHNSJDEVOcqRcwKcxKsdiLCWclIkpiJHG3JOgG+xmjFgMayGHL3IOQG+RQ8KYDFMRY4ubZWulxjeQ3QiQAEsqD1TkfnSsj9K1wMt49UP2Ag5Kc7CkA7QMgIUwOIojx8dGNIBvPHJBlhcazkpvtVnJb7crI5pxED78G4AbKClnBR/ybMM/VgX04iB9mOaMWAzLU1DdmM6snWRcwK0Hz0ogM34qz4rMR3ZipoO50hMIwYCQYAC2FBr1WclclOsoK3hHHJOgNbx7gAciNyUyGtpOEdiSAdoDwIUwCFaWxlZYlpyJDUdzpHozQLag08qwCHak5viO/TDF2Xn+eaZuDGFGOgc3jGAg7SVm+I79MOwT+cwbRgIHaYZAw7X2rRkpiR3Tmt5Jm7kmwAdQw8K4HD+hn6Ykhw4f0M5LU0bbophNKBjCFCAKNDa0I+/KclufLme1J6hHPJMgODi3QREudZ6UshROamtoRyGcYDgI0ABolBbU5LdmJrcnL+hHHqagOCL6KfOI488ovvvv18VFRUaNWqUVq5cqQsuuCCSTQKiQktTkt3aWjHZHyd8STNlGLCOiL3L/vCHP2j27NkqKChQVlaWli9frtzcXO3atUsDBgyIVLOAqNHWlGS39ibT2n04iCnDgLVEbJrxsmXLdMMNN+i6667T8OHDVVBQoB49emjVqlWRahKAf2lrxWR/7D5lmSnDgLVEpAeltrZWJSUlmjNnjmdbbGyscnJyVFRUFIkmAWiirSGgpjoyHGRFTBkGrCUiAcpXX32lhoYGJScne21PTk7Wp59+2mz/mpoa1dTUeO67XK6QtxGIdu0dAmrKKbVVyDMBIs8WlWQXL16spKQkz23gwIGRbhKAf+nIcJCVMYwDWENEfiKccsop6tKliyorK722V1ZWKiUlpdn+c+bM0ezZsz33XS4XQQpgEYEMB9kBwziANUQkQImLi9N5552nDRs2aOLEiZKkxsZGbdiwQTNmzGi2f3x8vOLj48PcSgDt1ZHhIABoTcQ+UWbPnq1rrrlGmZmZuuCCC7R8+XIdPXpU1113XaSaBAAALCJiAcrPf/5z/fOf/9T8+fNVUVGh0aNHa82aNc0SZwEAQPSJMcaYSDciUC6XS0lJSaqurlZiYmKkmwMAANohkO9vW8ziAQAA0YUABQAAWA4BCgAAsBwCFAAAYDkEKAAAwHIIUAAAgOUQoAAAAMshQAEAAJZDgAIAACyHAAUAAFgOAQoAALAcW66P7l4+yOVyRbglAACgvdzf2+1ZBtCWAcrhw4clSQMHDoxwSwAAQKAOHz6spKSkVvex5WrGjY2NOnDggHr37q2YmJigHdflcmngwIEqLy937CrJTj9Hp5+f5PxzdPr5Sc4/R6efn8Q5dpQxRocPH1ZaWppiY1vPMrFlD0psbKxOO+20kB0/MTHRsS84N6efo9PPT3L+OTr9/CTnn6PTz0/iHDuirZ4TN5JkAQCA5RCgAAAAyyFAaSI+Pl4LFixQfHx8pJsSMk4/R6efn+T8c3T6+UnOP0enn5/EOYaDLZNkAQCAs9GDAgAALIcABQAAWA4BCgAAsBwCFAAAYDlRFaDcc889Gjt2rHr06KE+ffr43Wffvn0aP368evTooQEDBuiOO+5QfX19q8f9+uuvNXXqVCUmJqpPnz6aNm2ajhw5EoIzCMzbb7+tmJgYv7etW7e2+Lwf/OAHzfa/6aabwtjywJx++unN2nvfffe1+pwTJ04oLy9P/fv3V69evTRp0iRVVlaGqcXt9/nnn2vatGnKyMhQQkKCzjjjDC1YsEC1tbWtPs/q1/CRRx7R6aefru7duysrK0vvv/9+q/u/9NJLGjp0qLp3765zzjlHb7zxRphaGrjFixfr/PPPV+/evTVgwABNnDhRu3btavU5q1evbna9unfvHqYWB+7Xv/51s/YOHTq01efY6Rr6+0yJiYlRXl6e3/3tcP02bdqkyy+/XGlpaYqJidErr7zi9bgxRvPnz1dqaqoSEhKUk5Oj3bt3t3ncQN/LgYiqAKW2tlaTJ0/WzTff7PfxhoYGjR8/XrW1tdq8ebOefPJJrV69WvPnz2/1uFOnTtWOHTu0bt06vf7669q0aZOmT58eilMIyNixY3Xw4EGv2/XXX6+MjAxlZma2+twbbrjB63lLly4NU6s7ZtGiRV7tveWWW1rdf9asWXrttdf00ksvaePGjTpw4ICuvPLKMLW2/T799FM1Njbqscce044dO/Tggw+qoKBA//3f/93mc616Df/whz9o9uzZWrBggT744AONGjVKubm5+vLLL/3uv3nzZl111VWaNm2atm3bpokTJ2rixIn65JNPwtzy9tm4caPy8vL03nvvad26daqrq9O4ceN09OjRVp+XmJjodb327t0bphZ3zNlnn+3V3nfeeafFfe12Dbdu3ep1buvWrZMkTZ48ucXnWP36HT16VKNGjdIjjzzi9/GlS5dqxYoVKigo0JYtW9SzZ0/l5ubqxIkTLR4z0PdywEwUKiwsNElJSc22v/HGGyY2NtZUVFR4tj366KMmMTHR1NTU+D1WaWmpkWS2bt3q2fbXv/7VxMTEmC+++CLobe+M2tpac+qpp5pFixa1ut/FF19sbrvttvA0KgjS09PNgw8+2O79q6qqTLdu3cxLL73k2bZz504jyRQVFYWghcG1dOlSk5GR0eo+Vr6GF1xwgcnLy/Pcb2hoMGlpaWbx4sV+9//Zz35mxo8f77UtKyvL3HjjjSFtZ7B8+eWXRpLZuHFji/u09JlkVQsWLDCjRo1q9/52v4a33XabOeOMM0xjY6Pfx+12/SSZl19+2XO/sbHRpKSkmPvvv9+zraqqysTHx5vnn3++xeME+l4OVFT1oLSlqKhI55xzjpKTkz3bcnNz5XK5tGPHjhaf06dPH68eiZycHMXGxmrLli0hb3MgXn31VR06dEjXXXddm/s+++yzOuWUUzRixAjNmTNHx44dC0MLO+6+++5T//79NWbMGN1///2tDsuVlJSorq5OOTk5nm1Dhw7VoEGDVFRUFI7mdkp1dbX69evX5n5WvIa1tbUqKSnx+tvHxsYqJyenxb99UVGR1/7SyfelHa6VdPJ6SWrzmh05ckTp6ekaOHCgJkyY0OJnjlXs3r1baWlpGjx4sKZOnap9+/a1uK+dr2Ftba2eeeYZ/fKXv2x1cVq7Xb+mysrKVFFR4XWNkpKSlJWV1eI16sh7OVC2XCwwVCoqKryCE0me+xUVFS0+Z8CAAV7bunbtqn79+rX4nEh54oknlJub2+ZCi//xH/+h9PR0paWl6eOPP9Zdd92lXbt26c9//nOYWhqYW2+9Veeee6769eunzZs3a86cOTp48KCWLVvmd/+KigrFxcU1y0NKTk623DXztWfPHq1cuVIPPPBAq/tZ9Rp+9dVXamho8Ps++/TTT/0+p6X3pdWvlXRy5fWZM2fqwgsv1IgRI1rcb8iQIVq1apVGjhyp6upqPfDAAxo7dqx27NgR0oVROyorK0urV6/WkCFDdPDgQS1cuFD/7//9P33yySfq3bt3s/3tfA1feeUVVVVV6dprr21xH7tdP1/u6xDINerIezlQtg9Q7r77bi1ZsqTVfXbu3NlmApeddOSc9+/fr7Vr1+rFF19s8/hN82fOOeccpaam6pJLLtFnn32mM844o+MND0Ag5zh79mzPtpEjRyouLk433nijFi9ebNky1B25hl988YUuvfRSTZ48WTfccEOrz7XCNYSUl5enTz75pNX8DEnKzs5Wdna25/7YsWM1bNgwPfbYY/rNb34T6mYG7LLLLvP8e+TIkcrKylJ6erpefPFFTZs2LYItC74nnnhCl112mdLS0lrcx27Xzy5sH6DcfvvtrUa2kjR48OB2HSslJaVZBrJ7ZkdKSkqLz/FNCKqvr9fXX3/d4nM6qyPnXFhYqP79++uKK64I+P/LysqSdPLXe7i+3DpzXbOyslRfX6/PP/9cQ4YMafZ4SkqKamtrVVVV5dWLUllZGbJr5ivQ8ztw4IB++MMfauzYsfr9738f8P8XiWvozymnnKIuXbo0mzHV2t8+JSUloP2tYsaMGZ6k+UB/RXfr1k1jxozRnj17QtS64OrTp4/OOuusFttr12u4d+9erV+/PuCeR7tdP/d1qKysVGpqqmd7ZWWlRo8e7fc5HXkvBywomSw201aSbGVlpWfbY489ZhITE82JEyf8HsudJFtcXOzZtnbtWkslyTY2NpqMjAxz++23d+j577zzjpFkPvrooyC3LDSeeeYZExsba77++mu/j7uTZP/4xz96tn366aeWTZLdv3+/OfPMM82UKVNMfX19h45hpWt4wQUXmBkzZnjuNzQ0mO985zutJsn+27/9m9e27OxsyyZYNjY2mry8PJOWlmb+/ve/d+gY9fX1ZsiQIWbWrFlBbl1oHD582PTt29c89NBDfh+32zV0W7BggUlJSTF1dXUBPc/q108tJMk+8MADnm3V1dXtSpIN5L0ccDuDchSb2Lt3r9m2bZtZuHCh6dWrl9m2bZvZtm2bOXz4sDHm5ItqxIgRZty4cebDDz80a9asMaeeeqqZM2eO5xhbtmwxQ4YMMfv37/dsu/TSS82YMWPMli1bzDvvvGPOPPNMc9VVV4X9/Fqyfv16I8ns3Lmz2WP79+83Q4YMMVu2bDHGGLNnzx6zaNEiU1xcbMrKysxf/vIXM3jwYHPRRReFu9ntsnnzZvPggw+aDz/80Hz22WfmmWeeMaeeeqq5+uqrPfv4nqMxxtx0001m0KBB5s033zTFxcUmOzvbZGdnR+IUWrV//37z3e9+11xyySVm//795uDBg55b033sdA1feOEFEx8fb1avXm1KS0vN9OnTTZ8+fTyz5/7zP//T3H333Z793333XdO1a1fzwAMPmJ07d5oFCxaYbt26me3bt0fqFFp18803m6SkJPP22297Xa9jx4559vE9x4ULF5q1a9eazz77zJSUlJgpU6aY7t27mx07dkTiFNp0++23m7ffftuUlZWZd9991+Tk5JhTTjnFfPnll8YY+19DY05+2Q4aNMjcddddzR6z4/U7fPiw5ztPklm2bJnZtm2b2bt3rzHGmPvuu8/06dPH/OUvfzEff/yxmTBhgsnIyDDHjx/3HONHP/qRWblyped+W+/lzoqqAOWaa64xkprd3nrrLc8+n3/+ubnssstMQkKCOeWUU8ztt9/uFT2/9dZbRpIpKyvzbDt06JC56qqrTK9evUxiYqK57rrrPEGPFVx11VVm7Nixfh8rKyvz+hvs27fPXHTRRaZfv34mPj7efPe73zV33HGHqa6uDmOL26+kpMRkZWWZpKQk0717dzNs2DBz7733evV4+Z6jMcYcP37c/OpXvzJ9+/Y1PXr0MD/96U+9vvStorCw0O9rtmnnpx2v4cqVK82gQYNMXFycueCCC8x7773neeziiy8211xzjdf+L774ojnrrLNMXFycOfvss83//u//hrnF7dfS9SosLPTs43uOM2fO9Pw9kpOTzU9+8hPzwQcfhL/x7fTzn//cpKammri4OPOd73zH/PznPzd79uzxPG73a2jMyZ5wSWbXrl3NHrPj9XN/d/ne3OfR2Nho5s2bZ5KTk018fLy55JJLmp17enq6WbBggde21t7LnRVjjDHBGSwCAAAIDuqgAAAAyyFAAQAAlkOAAgAALIcABQAAWA4BCgAAsBwCFAAAYDkEKAAAwHIIUAAAgOUQoAAAAMshQAEAAJZDgAIg4v75z38qJSVF9957r2fb5s2bFRcXpw0bNkSwZQAihbV4AFjCG2+8oYkTJ2rz5s0aMmSIRo8erQkTJmjZsmWRbhqACCBAAWAZeXl5Wr9+vTIzM7V9+3Zt3bpV8fHxkW4WgAggQAFgGcePH9eIESNUXl6ukpISnXPOOZFuEoAIIQcFgGV89tlnOnDggBobG/X5559HujkAIogeFACWUFtbqwsuuECjR4/WkCFDtHz5cm3fvl0DBgyIdNMARAABCgBLuOOOO/THP/5RH330kXr16qWLL75YSUlJev311yPdNAARwBAPgIh7++23tXz5cj399NNKTExUbGysnn76af3tb3/To48+GunmAYgAelAAAIDl0IMCAAAshwAFAABYDgEKAACwHAIUAABgOQQoAADAcghQAACA5RCgAAAAyyFAAQAAlkOAAgAALIcABQAAWA4BCgAAsBwCFAAAYDn/H7HCQpUGfrlmAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.97, -9.92)\": 98.39, \"(-9.92, -9.85)\": 97.15, \"(-9.85, -9.81)\": 95.88, \"(-9.81, -9.74)\": 94.86, \"(-9.74, -9.68)\": 93.59, \"(-9.68, -9.62)\": 92.55, \"(-9.62, -9.55)\": 91.55, \"(-9.55, -9.46)\": 89.64, \"(-9.46, -9.41)\": 88.35, \"(-9.41, -9.33)\": 87.32, \"(-9.33, -9.25)\": 85.49, \"(-9.25, -9.17)\": 84.3, \"(-9.17, -9.13)\": 83.01, \"(-9.13, -9.05)\": 81.89, \"(-9.05, -8.97)\": 80.48, \"(-8.97, -8.93)\": 79.36, \"(-8.93, -8.86)\": 78.35, \"(-8.86, -8.79)\": 77.27, \"(-8.79, -8.73)\": 76.13, \"(-8.73, -8.65)\": 74.9, \"(-8.65, -8.59)\": 73.6, \"(-8.59, -8.51)\": 72.49, \"(-8.51, -8.43)\": 71.2, \"(-8.43, -8.36)\": 69.95, \"(-8.36, -8.3)\": 68.88, \"(-8.3, -8.24)\": 67.85, \"(-8.24, -8.2)\": 66.82, \"(-8.2, -8.09)\": 65.74, \"(-8.09, -7.99)\": 64.03, \"(-7.99, -7.92)\": 62.6, \"(-7.92, -7.84)\": 61.47, \"(-7.84, -7.77)\": 60.46, \"(-7.77, -7.7)\": 59.21, \"(-7.7, -7.64)\": 58.1, \"(-7.64, -7.56)\": 57.06, \"(-7.56, -7.47)\": 55.86, \"(-7.47, -7.38)\": 54.54, \"(-7.38, -7.3)\": 53.23, \"(-7.3, -7.2)\": 52.18, \"(-7.2, -7.12)\": 50.56, \"(-7.12, -7.05)\": 49.46, \"(-7.05, -6.96)\": 48.46, \"(-6.96, -6.86)\": 47.23, \"(-6.86, -6.78)\": 45.85, \"(-6.78, -6.69)\": 44.83, \"(-6.69, -6.61)\": 43.72, \"(-6.61, -6.48)\": 42.57, \"(-6.48, -6.39)\": 40.79, \"(-6.39, -6.31)\": 39.61, \"(-6.31, -6.19)\": 38.35, \"(-6.19, -6.11)\": 37.14, \"(-6.11, -6.01)\": 36.08, \"(-6.01, -5.91)\": 35.08, \"(-5.91, -5.8)\": 33.79, \"(-5.8, -5.71)\": 32.62, \"(-5.71, -5.62)\": 31.54, \"(-5.62, -5.54)\": 30.51, \"(-5.54, -5.42)\": 29.34, \"(-5.42, -5.32)\": 28.19, \"(-5.32, -5.21)\": 27.1, \"(-5.21, -5.13)\": 26.08, \"(-5.13, -4.99)\": 24.98, \"(-4.99, -4.88)\": 23.88, \"(-4.88, -4.78)\": 22.76, \"(-4.78, -4.66)\": 21.64, \"(-4.66, -4.55)\": 20.58, \"(-4.55, -4.4)\": 19.56, \"(-4.4, -4.27)\": 18.08, \"(-4.27, -4.1)\": 17.07, \"(-4.1, -3.94)\": 15.39, \"(-3.94, -3.78)\": 14.35, \"(-3.78, -3.67)\": 13.2, \"(-3.67, -3.51)\": 12.18, \"(-3.51, -3.34)\": 11.09, \"(-3.34, -3.19)\": 10.02, \"(-3.19, -3.01)\": 8.96, \"(-3.01, -2.81)\": 7.91, \"(-2.81, -2.64)\": 6.89, \"(-2.64, -2.43)\": 5.88, \"(-2.43, -2.18)\": 4.83, \"(-2.18, -1.92)\": 3.8, \"(-1.92, -1.68)\": 2.8, \"(-1.68, -1.35)\": 1.78, \"(-1.35, -0.86)\": 0.78, \"(-0.86, 1.35)\": -0.23, \"(1.35, 1.69)\": 0.83, \"(1.69, 1.95)\": 1.89, \"(1.95, 2.22)\": 2.9, \"(2.22, 2.45)\": 3.93, \"(2.45, 2.64)\": 4.99, \"(2.64, 2.82)\": 6.0, \"(2.82, 3.01)\": 7.09, \"(3.01, 3.17)\": 8.1, \"(3.17, 3.33)\": 9.18, \"(3.33, 3.48)\": 10.2, \"(3.48, 3.63)\": 11.21, \"(3.63, 3.76)\": 12.21, \"(3.76, 3.9)\": 13.23, \"(3.9, 4.02)\": 14.25, \"(4.02, 4.14)\": 15.25, \"(4.14, 4.33)\": 16.51, \"(4.33, 4.43)\": 18.04, \"(4.43, 4.59)\": 19.11, \"(4.59, 4.72)\": 20.23, \"(4.72, 4.83)\": 21.31, \"(4.83, 4.94)\": 22.41, \"(4.94, 5.06)\": 23.55, \"(5.06, 5.21)\": 24.74, \"(5.21, 5.33)\": 26.5, \"(5.33, 5.44)\": 27.56, \"(5.44, 5.56)\": 28.81, \"(5.56, 5.7)\": 30.24, \"(5.7, 5.79)\": 31.47, \"(5.79, 5.9)\": 32.75, \"(5.9, 5.97)\": 33.84, \"(5.97, 6.06)\": 34.84, \"(6.06, 6.17)\": 35.97, \"(6.17, 6.26)\": 37.13, \"(6.26, 6.36)\": 38.33, \"(6.36, 6.44)\": 39.56, \"(6.44, 6.53)\": 40.65, \"(6.53, 6.64)\": 42.19, \"(6.64, 6.72)\": 43.31, \"(6.72, 6.79)\": 44.31, \"(6.79, 6.87)\": 45.37, \"(6.87, 6.95)\": 46.4, \"(6.95, 7.04)\": 47.51, \"(7.04, 7.12)\": 48.74, \"(7.12, 7.21)\": 49.81, \"(7.21, 7.3)\": 51.11, \"(7.3, 7.37)\": 52.36, \"(7.37, 7.46)\": 53.51, \"(7.46, 7.55)\": 54.83, \"(7.55, 7.64)\": 56.16, \"(7.64, 7.75)\": 57.7, \"(7.75, 7.82)\": 59.25, \"(7.82, 7.88)\": 60.47, \"(7.88, 7.98)\": 61.58, \"(7.98, 8.07)\": 62.96, \"(8.07, 8.13)\": 64.28, \"(8.13, 8.22)\": 65.68, \"(8.22, 8.3)\": 66.71, \"(8.3, 8.37)\": 68.12, \"(8.37, 8.43)\": 69.16, \"(8.43, 8.52)\": 70.63, \"(8.52, 8.59)\": 71.64, \"(8.59, 8.63)\": 72.97, \"(8.63, 8.72)\": 74.06, \"(8.72, 8.78)\": 75.16, \"(8.78, 8.82)\": 76.16, \"(8.82, 8.89)\": 77.2, \"(8.89, 8.96)\": 78.23, \"(8.96, 9.02)\": 79.31, \"(9.02, 9.07)\": 80.46, \"(9.07, 9.14)\": 81.5, \"(9.14, 9.2)\": 82.54, \"(9.2, 9.26)\": 84.28, \"(9.26, 9.34)\": 85.34, \"(9.34, 9.43)\": 86.69, \"(9.43, 9.51)\": 88.17, \"(9.51, 9.59)\": 89.86, \"(9.59, 9.66)\": 91.37, \"(9.66, 9.73)\": 92.47, \"(9.73, 9.81)\": 94.14, \"(9.81, 9.86)\": 95.26, \"(9.86, 9.92)\": 96.46, \"(9.92, 9.96)\": 97.73}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.94, -9.85)\": 67.7, \"(-9.85, -9.78)\": 66.3, \"(-9.78, -9.67)\": 64.9, \"(-9.67, -9.56)\": 63.0, \"(-9.56, -9.45)\": 61.7, \"(-9.45, -9.35)\": 59.6, \"(-9.35, -9.26)\": 58.2, \"(-9.26, -9.17)\": 56.9, \"(-9.17, -9.07)\": 55.2, \"(-9.07, -8.96)\": 53.9, \"(-8.96, -8.86)\": 52.3, \"(-8.86, -8.79)\": 50.8, \"(-8.79, -8.66)\": 49.3, \"(-8.66, -8.56)\": 47.8, \"(-8.56, -8.46)\": 46.5, \"(-8.46, -8.35)\": 45.0, \"(-8.35, -8.26)\": 43.6, \"(-8.26, -8.14)\": 42.2, \"(-8.14, -8.02)\": 40.7, \"(-8.02, -7.91)\": 39.2, \"(-7.91, -7.81)\": 37.8, \"(-7.81, -7.7)\": 36.4, \"(-7.7, -7.59)\": 35.1, \"(-7.59, -7.47)\": 33.7, \"(-7.47, -7.36)\": 32.4, \"(-7.36, -7.24)\": 31.0, \"(-7.24, -7.1)\": 29.6, \"(-7.1, -6.95)\": 27.8, \"(-6.95, -6.81)\": 26.4, \"(-6.81, -6.68)\": 24.9, \"(-6.68, -6.55)\": 23.5, \"(-6.55, -6.4)\": 22.1, \"(-6.4, -6.23)\": 20.7, \"(-6.23, -6.05)\": 18.9, \"(-6.05, -5.9)\": 17.5, \"(-5.9, -5.74)\": 16.1, \"(-5.74, -5.59)\": 14.7, \"(-5.59, -5.41)\": 13.4, \"(-5.41, -5.22)\": 12.0, \"(-5.22, -5.03)\": 10.5, \"(-5.03, -4.81)\": 9.1, \"(-4.81, -4.6)\": 7.7, \"(-4.6, -4.36)\": 6.3, \"(-4.36, -4.11)\": 4.9, \"(-4.11, -3.81)\": 3.4, \"(-3.81, -3.51)\": 2.1, \"(-3.51, -3.11)\": 0.7, \"(-3.11, -2.62)\": -0.6, \"(-2.62, 0.11)\": -2.0, \"(0.11, 0.48)\": -0.6, \"(0.48, 0.78)\": 0.7, \"(0.78, 1.08)\": 2.1, \"(1.08, 1.33)\": 3.5, \"(1.33, 1.59)\": 4.9, \"(1.59, 1.8)\": 6.4, \"(1.8, 2.0)\": 7.7, \"(2.0, 2.18)\": 9.1, \"(2.18, 2.37)\": 10.4, \"(2.37, 2.55)\": 11.8, \"(2.55, 2.72)\": 13.2, \"(2.72, 2.89)\": 14.7, \"(2.89, 3.05)\": 16.2, \"(3.05, 3.2)\": 17.5, \"(3.2, 3.33)\": 18.9, \"(3.33, 3.49)\": 20.2, \"(3.49, 3.63)\": 21.7, \"(3.63, 3.74)\": 23.1, \"(3.74, 3.89)\": 24.4, \"(3.89, 4.06)\": 26.2, \"(4.06, 4.16)\": 27.5, \"(4.16, 4.29)\": 28.9, \"(4.29, 4.41)\": 30.3, \"(4.41, 4.53)\": 31.8, \"(4.53, 4.63)\": 33.1, \"(4.63, 4.77)\": 34.6, \"(4.77, 4.89)\": 36.0, \"(4.89, 4.97)\": 37.6, \"(4.97, 5.07)\": 38.9, \"(5.07, 5.19)\": 40.3, \"(5.19, 5.28)\": 41.7, \"(5.28, 5.42)\": 43.2, \"(5.42, 5.57)\": 45.3, \"(5.57, 5.65)\": 46.7, \"(5.65, 5.74)\": 48.0, \"(5.74, 5.83)\": 49.4, \"(5.83, 5.93)\": 50.8, \"(5.93, 6.04)\": 52.1, \"(6.04, 6.15)\": 53.8, \"(6.15, 6.26)\": 55.4, \"(6.26, 6.36)\": 57.4, \"(6.36, 6.46)\": 58.9, \"(6.46, 6.56)\": 60.3, \"(6.56, 6.65)\": 62.0, \"(6.65, 6.74)\": 63.3, \"(6.74, 6.82)\": 64.8, \"(6.82, 6.9)\": 66.1, \"(6.9, 7.01)\": 67.6, \"(7.01, 7.13)\": 69.7, \"(7.13, 7.24)\": 71.5, \"(7.24, 7.3)\": 73.1, \"(7.3, 7.39)\": 74.5, \"(7.39, 7.47)\": 76.0, \"(7.47, 7.57)\": 77.6, \"(7.57, 7.65)\": 79.2, \"(7.65, 7.72)\": 80.7, \"(7.72, 7.82)\": 82.2, \"(7.82, 7.9)\": 83.8, \"(7.9, 7.99)\": 85.6, \"(7.99, 8.07)\": 87.1, \"(8.07, 8.15)\": 88.5, \"(8.15, 8.28)\": 90.7, \"(8.28, 8.35)\": 92.5, \"(8.35, 8.44)\": 94.1, \"(8.44, 8.53)\": 96.2, \"(8.53, 8.61)\": 97.5, \"(8.61, 8.67)\": 99.3, \"(8.67, 8.75)\": 100.7, \"(8.75, 8.82)\": 102.0, \"(8.82, 8.92)\": 103.8, \"(8.92, 8.99)\": 105.6, \"(8.99, 9.06)\": 107.1, \"(9.06, 9.14)\": 108.6, \"(9.14, 9.19)\": 110.3, \"(9.19, 9.27)\": 111.7, \"(9.27, 9.37)\": 113.7, \"(9.37, 9.43)\": 115.2, \"(9.43, 9.52)\": 116.7, \"(9.52, 9.6)\": 118.6, \"(9.6, 9.66)\": 120.1, \"(9.66, 9.71)\": 121.4, \"(9.71, 9.77)\": 122.8, \"(9.77, 9.86)\": 124.2, \"(9.86, 9.96)\": 126.8, \"(9.96, 9.99)\": 128.5}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.96, -9.87)\": -981.6, \"(-9.87, -9.79)\": -955.1, \"(-9.79, -9.69)\": -932.7, \"(-9.69, -9.57)\": -904.2, \"(-9.57, -9.46)\": -866.0, \"(-9.46, -9.38)\": -845.6, \"(-9.38, -9.3)\": -819.6, \"(-9.3, -9.2)\": -796.3, \"(-9.2, -9.11)\": -774.0, \"(-9.11, -9.01)\": -753.7, \"(-9.01, -8.91)\": -727.4, \"(-8.91, -8.82)\": -705.4, \"(-8.82, -8.73)\": -684.2, \"(-8.73, -8.63)\": -662.3, \"(-8.63, -8.53)\": -642.0, \"(-8.53, -8.41)\": -618.4, \"(-8.41, -8.29)\": -590.8, \"(-8.29, -8.19)\": -567.9, \"(-8.19, -8.08)\": -548.0, \"(-8.08, -7.96)\": -523.1, \"(-7.96, -7.86)\": -503.0, \"(-7.86, -7.75)\": -482.3, \"(-7.75, -7.63)\": -462.2, \"(-7.63, -7.5)\": -441.6, \"(-7.5, -7.36)\": -420.2, \"(-7.36, -7.23)\": -393.7, \"(-7.23, -7.05)\": -371.0, \"(-7.05, -6.93)\": -348.8, \"(-6.93, -6.77)\": -328.8, \"(-6.77, -6.62)\": -309.0, \"(-6.62, -6.47)\": -288.8, \"(-6.47, -6.28)\": -268.8, \"(-6.28, -6.11)\": -247.8, \"(-6.11, -5.89)\": -226.5, \"(-5.89, -5.68)\": -203.7, \"(-5.68, -5.44)\": -183.1, \"(-5.44, -5.23)\": -162.3, \"(-5.23, -4.98)\": -141.7, \"(-4.98, -4.66)\": -121.6, \"(-4.66, -4.39)\": -100.7, \"(-4.39, -3.95)\": -80.5, \"(-3.95, -3.46)\": -60.5, \"(-3.46, -2.73)\": -40.7, \"(-2.73, -0.89)\": -20.4, \"(-0.89, 2.65)\": -0.7, \"(2.65, 3.4)\": 19.2, \"(3.4, 3.88)\": 39.1, \"(3.88, 4.26)\": 59.0, \"(4.26, 4.62)\": 79.1, \"(4.62, 4.95)\": 101.5, \"(4.95, 5.24)\": 124.1, \"(5.24, 5.48)\": 144.9, \"(5.48, 5.72)\": 166.2, \"(5.72, 5.91)\": 188.2, \"(5.91, 6.11)\": 208.0, \"(6.11, 6.29)\": 228.8, \"(6.29, 6.46)\": 249.7, \"(6.46, 6.62)\": 273.2, \"(6.62, 6.8)\": 293.0, \"(6.8, 6.95)\": 316.3, \"(6.95, 7.06)\": 336.2, \"(7.06, 7.22)\": 356.6, \"(7.22, 7.37)\": 378.8, \"(7.37, 7.46)\": 398.8, \"(7.46, 7.6)\": 418.8, \"(7.6, 7.72)\": 440.3, \"(7.72, 7.83)\": 461.9, \"(7.83, 7.95)\": 482.2, \"(7.95, 8.09)\": 510.1, \"(8.09, 8.2)\": 531.8, \"(8.2, 8.3)\": 553.7, \"(8.3, 8.41)\": 574.4, \"(8.41, 8.5)\": 594.9, \"(8.5, 8.62)\": 617.7, \"(8.62, 8.72)\": 642.2, \"(8.72, 8.81)\": 665.0, \"(8.81, 8.9)\": 689.1, \"(8.9, 9.0)\": 708.9, \"(9.0, 9.08)\": 728.8, \"(9.08, 9.17)\": 753.1, \"(9.17, 9.26)\": 778.1, \"(9.26, 9.36)\": 797.9, \"(9.36, 9.45)\": 824.2, \"(9.45, 9.55)\": 848.0, \"(9.55, 9.65)\": 878.4, \"(9.65, 9.7)\": 900.2, \"(9.7, 9.8)\": 921.8, \"(9.8, 9.89)\": 943.0, \"(9.89, 9.97)\": 972.2}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.97, -9.89)\": 2958.3, \"(-9.89, -9.81)\": 2897.4, \"(-9.81, -9.68)\": 2812.0, \"(-9.68, -9.56)\": 2682.0, \"(-9.56, -9.47)\": 2614.1, \"(-9.47, -9.38)\": 2537.9, \"(-9.38, -9.29)\": 2468.1, \"(-9.29, -9.2)\": 2393.1, \"(-9.2, -9.1)\": 2330.5, \"(-9.1, -9.0)\": 2246.2, \"(-9.0, -8.91)\": 2181.9, \"(-8.91, -8.82)\": 2120.3, \"(-8.82, -8.73)\": 2055.4, \"(-8.73, -8.62)\": 1989.1, \"(-8.62, -8.51)\": 1908.4, \"(-8.51, -8.4)\": 1848.1, \"(-8.4, -8.3)\": 1768.3, \"(-8.3, -8.2)\": 1703.2, \"(-8.2, -8.08)\": 1642.7, \"(-8.08, -7.97)\": 1575.7, \"(-7.97, -7.86)\": 1511.5, \"(-7.86, -7.73)\": 1449.0, \"(-7.73, -7.62)\": 1385.1, \"(-7.62, -7.49)\": 1322.4, \"(-7.49, -7.38)\": 1260.6, \"(-7.38, -7.23)\": 1200.2, \"(-7.23, -7.12)\": 1133.8, \"(-7.12, -6.97)\": 1073.0, \"(-6.97, -6.82)\": 1012.6, \"(-6.82, -6.67)\": 950.1, \"(-6.67, -6.51)\": 884.4, \"(-6.51, -6.35)\": 824.5, \"(-6.35, -6.17)\": 764.7, \"(-6.17, -5.98)\": 702.6, \"(-5.98, -5.77)\": 639.3, \"(-5.77, -5.54)\": 574.1, \"(-5.54, -5.3)\": 507.0, \"(-5.3, -5.02)\": 442.9, \"(-5.02, -4.74)\": 377.2, \"(-4.74, -4.39)\": 316.1, \"(-4.39, -4.05)\": 255.3, \"(-4.05, -3.55)\": 194.5, \"(-3.55, -2.86)\": 130.4, \"(-2.86, -1.5)\": 70.2, \"(-1.5, 2.49)\": 9.8, \"(2.49, 3.34)\": -51.9, \"(3.34, 3.83)\": -113.0, \"(3.83, 4.27)\": -173.2, \"(4.27, 4.63)\": -242.4, \"(4.63, 4.96)\": -303.0, \"(4.96, 5.23)\": -370.0, \"(5.23, 5.5)\": -431.9, \"(5.5, 5.75)\": -511.6, \"(5.75, 5.96)\": -574.8, \"(5.96, 6.17)\": -641.3, \"(6.17, 6.3)\": -702.0, \"(6.3, 6.49)\": -763.0, \"(6.49, 6.64)\": -827.7, \"(6.64, 6.84)\": -888.6, \"(6.84, 6.96)\": -956.7, \"(6.96, 7.11)\": -1018.6, \"(7.11, 7.26)\": -1082.9, \"(7.26, 7.4)\": -1158.2, \"(7.4, 7.53)\": -1219.9, \"(7.53, 7.65)\": -1286.5, \"(7.65, 7.78)\": -1349.6, \"(7.78, 7.91)\": -1429.7, \"(7.91, 8.01)\": -1491.5, \"(8.01, 8.16)\": -1579.4, \"(8.16, 8.28)\": -1640.6, \"(8.28, 8.38)\": -1703.9, \"(8.38, 8.48)\": -1766.3, \"(8.48, 8.57)\": -1832.3, \"(8.57, 8.65)\": -1894.9, \"(8.65, 8.75)\": -1958.6, \"(8.75, 8.87)\": -2021.5, \"(8.87, 8.97)\": -2108.5, \"(8.97, 9.05)\": -2172.1, \"(9.05, 9.13)\": -2237.2, \"(9.13, 9.25)\": -2314.5, \"(9.25, 9.32)\": -2383.5, \"(9.32, 9.41)\": -2450.4, \"(9.41, 9.49)\": -2510.6, \"(9.49, 9.58)\": -2579.4, \"(9.58, 9.64)\": -2642.5, \"(9.64, 9.74)\": -2709.6, \"(9.74, 9.82)\": -2777.4, \"(9.82, 9.92)\": -2841.5, \"(9.92, 10.0)\": -2946.7}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.99, -9.96)\": 9925.4, \"(-9.96, -9.93)\": 9796.5, \"(-9.93, -9.9)\": 9661.4, \"(-9.9, -9.87)\": 9554.9, \"(-9.87, -9.84)\": 9418.4, \"(-9.84, -9.76)\": 9288.8, \"(-9.76, -9.7)\": 8939.3, \"(-9.7, -9.64)\": 8838.8, \"(-9.64, -9.58)\": 8517.3, \"(-9.58, -9.52)\": 8394.2, \"(-9.52, -9.47)\": 8158.8, \"(-9.47, -9.4)\": 7950.1, \"(-9.4, -9.35)\": 7749.0, \"(-9.35, -9.31)\": 7601.3, \"(-9.31, -9.27)\": 7473.3, \"(-9.27, -9.24)\": 7343.3, \"(-9.24, -9.16)\": 7209.1, \"(-9.16, -9.09)\": 6937.9, \"(-9.09, -9.05)\": 6809.9, \"(-9.05, -9.01)\": 6682.3, \"(-9.01, -8.96)\": 6567.6, \"(-8.96, -8.91)\": 6439.4, \"(-8.91, -8.87)\": 6272.3, \"(-8.87, -8.82)\": 6151.3, \"(-8.82, -8.78)\": 6018.8, \"(-8.78, -8.72)\": 5918.4, \"(-8.72, -8.65)\": 5727.7, \"(-8.65, -8.6)\": 5568.2, \"(-8.6, -8.54)\": 5452.7, \"(-8.54, -8.49)\": 5307.5, \"(-8.49, -8.45)\": 5201.6, \"(-8.45, -8.4)\": 5061.1, \"(-8.4, -8.36)\": 4937.8, \"(-8.36, -8.29)\": 4834.7, \"(-8.29, -8.23)\": 4689.8, \"(-8.23, -8.17)\": 4539.8, \"(-8.17, -8.13)\": 4433.5, \"(-8.13, -8.05)\": 4290.6, \"(-8.05, -8.0)\": 4179.2, \"(-8.0, -7.94)\": 4070.6, \"(-7.94, -7.87)\": 3950.9, \"(-7.87, -7.82)\": 3832.5, \"(-7.82, -7.76)\": 3714.3, \"(-7.76, -7.69)\": 3608.4, \"(-7.69, -7.64)\": 3476.8, \"(-7.64, -7.55)\": 3372.5, \"(-7.55, -7.49)\": 3240.1, \"(-7.49, -7.4)\": 3114.9, \"(-7.4, -7.32)\": 2986.2, \"(-7.32, -7.26)\": 2873.7, \"(-7.26, -7.19)\": 2745.2, \"(-7.19, -7.12)\": 2636.4, \"(-7.12, -7.03)\": 2518.3, \"(-7.03, -6.92)\": 2412.6, \"(-6.92, -6.83)\": 2281.7, \"(-6.83, -6.73)\": 2140.2, \"(-6.73, -6.64)\": 2038.3, \"(-6.64, -6.51)\": 1923.8, \"(-6.51, -6.4)\": 1777.9, \"(-6.4, -6.27)\": 1661.1, \"(-6.27, -6.1)\": 1499.1, \"(-6.1, -6.0)\": 1381.6, \"(-6.0, -5.84)\": 1271.8, \"(-5.84, -5.7)\": 1158.4, \"(-5.7, -5.55)\": 1055.8, \"(-5.55, -5.38)\": 937.1, \"(-5.38, -5.2)\": 828.2, \"(-5.2, -5.0)\": 723.0, \"(-5.0, -4.78)\": 622.8, \"(-4.78, -4.51)\": 517.8, \"(-4.51, -4.23)\": 416.4, \"(-4.23, -3.86)\": 312.5, \"(-3.86, -3.27)\": 211.5, \"(-3.27, -1.87)\": 111.0, \"(-1.87, 3.23)\": 11.3, \"(3.23, 3.81)\": 111.0, \"(3.81, 4.19)\": 210.8, \"(4.19, 4.47)\": 313.0, \"(4.47, 4.76)\": 412.7, \"(4.76, 5.0)\": 526.3, \"(5.0, 5.21)\": 628.6, \"(5.21, 5.39)\": 741.5, \"(5.39, 5.56)\": 855.7, \"(5.56, 5.71)\": 966.2, \"(5.71, 5.87)\": 1080.9, \"(5.87, 5.98)\": 1194.9, \"(5.98, 6.11)\": 1296.9, \"(6.11, 6.22)\": 1396.9, \"(6.22, 6.35)\": 1500.1, \"(6.35, 6.47)\": 1646.1, \"(6.47, 6.56)\": 1750.7, \"(6.56, 6.69)\": 1915.2, \"(6.69, 6.76)\": 2024.1, \"(6.76, 6.86)\": 2128.4, \"(6.86, 6.93)\": 2230.8, \"(6.93, 7.04)\": 2336.2, \"(7.04, 7.12)\": 2474.0, \"(7.12, 7.19)\": 2586.1, \"(7.19, 7.27)\": 2691.0, \"(7.27, 7.33)\": 2792.1, \"(7.33, 7.4)\": 2899.9, \"(7.4, 7.47)\": 3006.4, \"(7.47, 7.52)\": 3106.3, \"(7.52, 7.58)\": 3209.3, \"(7.58, 7.66)\": 3325.2, \"(7.66, 7.71)\": 3443.2, \"(7.71, 7.79)\": 3554.1, \"(7.79, 7.86)\": 3717.2, \"(7.86, 7.91)\": 3824.6, \"(7.91, 7.97)\": 3924.9, \"(7.97, 8.05)\": 4041.8, \"(8.05, 8.14)\": 4277.8, \"(8.14, 8.2)\": 4406.8, \"(8.2, 8.25)\": 4519.3, \"(8.25, 8.3)\": 4648.7, \"(8.3, 8.36)\": 4783.7, \"(8.36, 8.41)\": 4889.3, \"(8.41, 8.47)\": 5066.2, \"(8.47, 8.53)\": 5208.2, \"(8.53, 8.6)\": 5321.3, \"(8.6, 8.67)\": 5533.3, \"(8.67, 8.72)\": 5675.8, \"(8.72, 8.77)\": 5787.3, \"(8.77, 8.81)\": 5946.8, \"(8.81, 8.85)\": 6055.1, \"(8.85, 8.88)\": 6163.1, \"(8.88, 8.92)\": 6268.4, \"(8.92, 9.01)\": 6460.5, \"(9.01, 9.1)\": 6730.9, \"(9.1, 9.13)\": 6901.6, \"(9.13, 9.19)\": 7004.2, \"(9.19, 9.25)\": 7189.6, \"(9.25, 9.31)\": 7384.8, \"(9.31, 9.36)\": 7605.4, \"(9.36, 9.44)\": 7732.9, \"(9.44, 9.53)\": 8100.3, \"(9.53, 9.57)\": 8299.2, \"(9.57, 9.6)\": 8408.9, \"(9.6, 9.64)\": 8511.4, \"(9.64, 9.71)\": 8735.4, \"(9.71, 9.75)\": 8946.3, \"(9.75, 9.8)\": 9104.9, \"(9.8, 9.84)\": 9250.9, \"(9.84, 9.88)\": 9427.2, \"(9.88, 9.91)\": 9555.6, \"(9.91, 9.93)\": 9676.0}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjkAAAHHCAYAAABdm0mZAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAABERklEQVR4nO3de3RU1d3/8U8SmUm4TLgmIRJCkApGuShIHKt4i0SatlKtVeSxEVGLDRaIxZgWQdAWHrQKj6LYpQVXK1VwVW2JQkO4PUpAiFC5CE/hByKFCQgkAwGSkOzfHzanGXIhk0wyl7xfa83SOed7zuyTQ5gve3/3PmHGGCMAAIAQE+7vBgAAALQEkhwAABCSSHIAAEBIIskBAAAhiSQHAACEJJIcAAAQkkhyAABASCLJAQAAIYkkBwAAhCSSHAA+9fOf/1y33367v5vRLAsXLlTv3r1VVlbm76YAaAaSHAA+s3//fr3xxhv61a9+5e+mXFRxcbFiYmIUFham9957z2Pfgw8+qPLycr3++usNnqO8vFy33nqrwsLCdOedd6qysrJRn71v3z5FRkYqLCxMW7ZsafI1AGgYSQ4An5k/f76SkpJ0yy23+LspFzV9+nSdOXOmzn2RkZHKyMjQiy++qPoe72eM0bhx47RmzRqlp6frr3/9q37xi1806rOnTJmiSy65pMltB9A4JDkAfKKiokJvv/22fvKTn7To5yxevFhhYWHNOseOHTv02muvKTs7u96Yn/zkJ/rqq6+0Zs2aOvfn5OToz3/+sxYsWKDly5fr2Wef1auvvqr//u//bvCzV65cqZUrV2rKlCnNugYAF0eSA8AnPvnkE33zzTdKTU312J6RkaHIyEh9+eWXHtvT0tLUpUsXHT58uDWbKUmaNGmSfvSjH+nGG2+sN2bo0KHq2rWrPvzww1r7Xn31Vc2dO1evvvqqfv7zn0uSpk2bpueee85KfupSUVGhSZMmadKkSbrssst8czEA6kWSA8AnNmzYoLCwMF199dUe2+fPn68ePXooIyPDqll5/fXX9fe//10vv/yy4uPjW7Wdy5Yt04YNGzR37tyLxl5zzTX69NNPPbb99a9/1aRJk7Rw4UJNmDDBY9+vf/1r/eY3v9GDDz5YZw/QvHnzdPLkSU2bNq15FwGgUUhyAPjE7t271bVrVzkcDo/tnTt31ptvvqnNmzdrzpw52r9/v375y19q9OjR+q//+q9WbePZs2f1y1/+UlOmTFGfPn0uGt+3b1/t2rXLY9sPf/hDVVRU6NFHH63zmJycHJWVldWqS3K5XHr22Wf17LPP1voZAWgZVL4B8Injx4+rS5cude4bOXKkfvazn2nWrFl67733FBkZedGZS9VOnjzpMWvp9OnTkqRvvvnGI659+/Zq3759g+eaM2eOKioqGj37q0uXLjp79qzOnDlz0XNfTHZ2tvr27auHH364WecB0HgkOQAarby8XCdOnPDY1qNHD0VEREhSvTORJOmFF17Qhx9+qG3btmnJkiWKiYlp1GdeffXV+uqrr2pt79Gjh8f7GTNm6Jlnnqn3PAcOHNDzzz+vBQsWqGPHjo367OrraW6h88aNG/XHP/5R+fn5Cg+nAx1oLSQ5ABptw4YNtYZh9u/frz59+qhbt246efJkvcdu3bpVR48elSRt375dY8aMadRnvv322zp79qz1/u9//7uef/555eXlecT17du3wfNMnz5dl156qW6++WYdOHBA0rdDSJJ07NgxHThwQL179/ZIQk6ePKn27dsrKiqqUW2tz5NPPqkbb7xRSUlJ1mdX90QdOXJEBw8eVO/evZv1GQBqCzMN/dMLAGo4efKkCgsLPbbdcMMNioyM1G9+8xs9/fTTOnnypKKjoz1iSktLNXjwYEVFRen666/Xm2++qYKCAl177bVet2Hx4sUaN25cg71Gdbn55pu1bt26BmNOnjypzp07W+9vv/12nTx5stkL9vXp06fO3qhq0dHRKi4ubtZnAKiNnhwAjdalS5daU8SrOZ1OGWNUWFioW2+91WNfdna2Dh48qI0bN6p///7Kz89XRkaGtm7dKrvd3hpN13PPPVerjmfHjh16+umn9eSTT8rpdKpDhw4e+z///HONHTu22Z/9+9//vtbCg6tXr9bLL7+sF154QQMGDGj2ZwCojSQHgE/ccMMN6tatm1atWuWR5KxevVqvvvqqZsyYoWuuuUaStGjRIt188816+umnGzWV21ftu1B1r821116r0aNHe+wrLCzUiRMndOeddzb7s0eOHFlrW3XPzU033aRhw4Y1+zMA1EYFHACfsNlsGjt2rJYtW2ZtO3XqlB566CFdffXV+vWvf21tv/HGGzVp0iT97ne/08aNG/3R3ItatmyZevfuXatXCkDwoCYHgM/8v//3/zRgwAB9/PHHuu222/zdnCYrKytTnz599NRTT2nSpEn+bg6AJqInB4DP9O3bV+PHj9ecOXP83ZRmWbRokdq1a1drRWMAwYWeHAAAEJLoyQEAACGJJAcAAIQkkhwAABCSSHIAAEBIatOLAVZVVenw4cPq1KlTsx/ABwAAWocxRqdOnVJ8fHyDD71t00nO4cOHlZCQ4O9mAACAJvj666/Vq1eveve36SSnU6dOkr79ITkcDj+3BgAANIbb7VZCQoL1PV6fNp3kVA9RORwOkhwAAILMxUpNKDwGAAAhiSQHAACEJJIcAAAQkkhyAABASCLJAQAAIYkkBwAAhCSSHAAAEJJIcgAAQEgiyQEAACGJJAcAAIQkkhwAABCSSHIAAEBIIskBAAAhqU0/hRwAAPieMUZnKyolSVHtIi76tPCWQpIDAAB8xhijHy8sUOFXJyVJu2alqb3NP+kGw1UAAMBnzlZUWgmOv5HkAACAFrFlWqqi2kX47fNJcgAAQItob/NfPY5EkgMAAEIUSQ4AAPAJY4zOlFf6uxkWZlcBAIBmu3BWVSCgJwcAADTbhbOqhiV28WvRsURPDgAA8LEt01LVrYPNr0XHEj05AADAx/w9q6oaSQ4AAGg2Y/zdgtpIcgAAQLMYY3TPwgJ/N6MWkhwAANAsZysqteuIW5KU3NPh94LjaiQ5AADAZ5ZNcAZEPY5EkgMAAHwoQPIbSSQ5AACgmQKx6FgiyQEAAM0QqEXHEkkOAABohkAtOpZIcgAAgI8EUtGxRJIDAAB8JIDyG0kkOQAAoBkCtehYIskBAABNFMhFx5KXSc5rr72mQYMGyeFwyOFwyOl06uOPP7b233zzzQoLC/N4TZgwweMcBw8eVHp6utq3b6+YmBhNnTpV58+f94hZu3atrrnmGtntdvXr10+LFy+u1ZYFCxaoT58+ioyMVEpKij777DNvLgUAADRTIBcdS14mOb169dKcOXNUWFioLVu26NZbb9Wdd96pnTt3WjGPPPKIjhw5Yr3mzp1r7ausrFR6errKy8u1YcMGvfXWW1q8eLGmT59uxezfv1/p6em65ZZbtG3bNk2ePFkPP/ywVq5cacW8++67ysrK0owZM/T5559r8ODBSktL09GjR5vzswAAAE0UaEXHkhRmTPNG07p27arnn39e48eP180336whQ4Zo3rx5dcZ+/PHH+v73v6/Dhw8rNjZWkrRw4UJlZ2fr2LFjstlsys7OVm5urnbs2GEdd99996m4uFgrVqyQJKWkpOjaa6/VK6+8IkmqqqpSQkKCHn/8cT311FONbrvb7VZ0dLRKSkrkcDia+BMAAKBtOlN+XsnTv+2E2DUrTe1tl7TK5zb2+7vJNTmVlZV65513VFpaKqfTaW1/++231b17d1111VXKycnRmTNnrH0FBQUaOHCgleBIUlpamtxut9UbVFBQoNTUVI/PSktLU0HBt2N+5eXlKiws9IgJDw9XamqqFVOfsrIyud1ujxcAAGiaQC46liSvU67t27fL6XTq3Llz6tixo95//30lJydLku6//34lJiYqPj5eX3zxhbKzs7Vnzx795S9/kSS5XC6PBEeS9d7lcjUY43a7dfbsWZ08eVKVlZV1xuzevbvBts+ePVszZ8709pIBAMAFAr3oWGpCktO/f39t27ZNJSUleu+995SRkaF169YpOTlZjz76qBU3cOBA9ezZU7fddpv27dunyy67zKcNb4qcnBxlZWVZ791utxISEvzYIgAAglOgFx1LTUhybDab+vXrJ0kaOnSoNm/erPnz5+v111+vFZuSkiJJ2rt3ry677DLFxcXVmgVVVFQkSYqLi7P+W72tZozD4VBUVJQiIiIUERFRZ0z1Oepjt9tlt9u9uFoAAHAxgVh0LPlgnZyqqiqVlZXVuW/btm2SpJ49e0qSnE6ntm/f7jELKi8vTw6Hwxrycjqdys/P9zhPXl6eVfdjs9k0dOhQj5iqqirl5+d71AYBAIDWEYD5jSQve3JycnI0atQo9e7dW6dOndKSJUu0du1arVy5Uvv27dOSJUv0ve99T926ddMXX3yhKVOmaMSIERo0aJAkaeTIkUpOTtYDDzyguXPnyuVyadq0acrMzLR6WCZMmKBXXnlFTz75pB566CGtXr1aS5cuVW5urtWOrKwsZWRkaNiwYRo+fLjmzZun0tJSjRs3zoc/GgAAEMy8SnKOHj2qn/70pzpy5Iiio6M1aNAgrVy5Urfffru+/vprrVq1yko4EhISdPfdd2vatGnW8REREVq+fLkee+wxOZ1OdejQQRkZGZo1a5YVk5SUpNzcXE2ZMkXz589Xr1699MYbbygtLc2Kuffee3Xs2DFNnz5dLpdLQ4YM0YoVK2oVIwMAAN8zxuhMeaW/m3FRzV4nJ5ixTg4AAN4xxujHCwtU+NVJa1trrpEjtcI6OQAAoO05W1HpkeAMS+wSkDOrpCbMrgIAAJCkLdNS1a2DLSBnVkn05AAAgCZqb4sI2ARHIskBAACNFCwFx9UYrgIAABdVV8FxoKMnBwAAXFQwFRxXoycHAAB4JdALjqvRkwMAALwS6AXH1UhyAABASCLJAQAAIYkkBwAAXFQwPgSKJAcAADTIGKN7Fhb4uxleI8kBAAANOltRqV1H3JKk5J6OgJ86Xo0kBwAANNqyCc6gmFklkeQAAAAvBEl+I4kkBwAAhCiSHAAA0KBgnFklkeQAAIAGBOvMKokkBwAANCBYZ1ZJJDkAAKCRgmlmlUSSAwAA6mGM0ZnySut9EOU3kqRL/N0AAAAQeIwx+vHCAhV+ddLfTWkyenIAAEAtZysqPRKcYYldgqoeR6InBwAAXMSWaanq1sEWVPU4Ej05AADgItrbIoIuwZFIcgAAQB2CdQHAmkhyAACAh2BeALAmkhwAAOAhmBcArIkkBwAA1CvYFgCsiSQHAADUK0jzG0kkOQAA4AKhUHQskeQAAIAaQqXoWCLJAQAANYRK0bHkZZLz2muvadCgQXI4HHI4HHI6nfr444+t/efOnVNmZqa6deumjh076u6771ZRUZHHOQ4ePKj09HS1b99eMTExmjp1qs6fP+8Rs3btWl1zzTWy2+3q16+fFi9eXKstCxYsUJ8+fRQZGamUlBR99tln3lwKAAC4iGAuOpa8THJ69eqlOXPmqLCwUFu2bNGtt96qO++8Uzt37pQkTZkyRX/729+0bNkyrVu3TocPH9Zdd91lHV9ZWan09HSVl5drw4YNeuutt7R48WJNnz7ditm/f7/S09N1yy23aNu2bZo8ebIefvhhrVy50op59913lZWVpRkzZujzzz/X4MGDlZaWpqNHjzb35wEAQJtWsx4niPObb5lm6tKli3njjTdMcXGxadeunVm2bJm178svvzSSTEFBgTHGmI8++siEh4cbl8tlxbz22mvG4XCYsrIyY4wxTz75pLnyyis9PuPee+81aWlp1vvhw4ebzMxM631lZaWJj483s2fP9qrtJSUlRpIpKSnx6jgAAEJRVVWVGTVvvUnMXm4Ss5eb0rIKfzepTo39/m5yTU5lZaXeeecdlZaWyul0qrCwUBUVFUpNTbViBgwYoN69e6ug4NsCpoKCAg0cOFCxsbFWTFpamtxut9UbVFBQ4HGO6pjqc5SXl6uwsNAjJjw8XKmpqVZMfcrKyuR2uz1eAADgW6FUjyM1ofB4+/bt6tixo+x2uyZMmKD3339fycnJcrlcstls6ty5s0d8bGysXC6XJMnlcnkkONX7q/c1FON2u3X27Fl98803qqysrDOm+hz1mT17tqKjo61XQkKCt5cPAEDIqjlUFez1OFITkpz+/ftr27Zt2rRpkx577DFlZGRo165dLdE2n8vJyVFJSYn1+vrrr/3dJAAAAoK5YOp4kOc3kqRLvD3AZrOpX79+kqShQ4dq8+bNmj9/vu69916Vl5eruLjYozenqKhIcXFxkqS4uLhas6CqZ1/VjLlwRlZRUZEcDoeioqIUERGhiIiIOmOqz1Efu90uu93u7SUDABDyQm2oSvLBOjlVVVUqKyvT0KFD1a5dO+Xn51v79uzZo4MHD8rpdEqSnE6ntm/f7jELKi8vTw6HQ8nJyVZMzXNUx1Sfw2azaejQoR4xVVVVys/Pt2IAAEDThcJQleRlT05OTo5GjRql3r1769SpU1qyZInWrl2rlStXKjo6WuPHj1dWVpa6du0qh8Ohxx9/XE6nU9ddd50kaeTIkUpOTtYDDzyguXPnyuVyadq0acrMzLR6WCZMmKBXXnlFTz75pB566CGtXr1aS5cuVW5urtWOrKwsZWRkaNiwYRo+fLjmzZun0tJSjRs3zoc/GgAA2gZjjM6UV1rvQyC/keRlknP06FH99Kc/1ZEjRxQdHa1BgwZp5cqVuv322yVJL730ksLDw3X33XerrKxMaWlpevXVV63jIyIitHz5cj322GNyOp3q0KGDMjIyNGvWLCsmKSlJubm5mjJliubPn69evXrpjTfeUFpamhVz77336tixY5o+fbpcLpeGDBmiFStW1CpGBgAADTPG6McLC1T41Ul/N8XnwowJlcdwec/tdis6OlolJSVyOBz+bg4AAK3uTPl5JU//z4K7wxK7BPxwVWO/v70uPAYAAKFpy7RUdetgC+gExxs8oBMAAEiS2tsiQibBkUhyAABAiCLJAQAAIYkkBwCANiyUpx+R5AAA0EZd+CiHUEOSAwBAGxWKj3KoiSQHAAAE/No4TUGSAwAAQuZRDjWR5AAAgJBEkgMAQBt04UM5QxGPdQAAoI0J5Ydy1kRPDgAAbczZikqPBGdYYpeQm1kl0ZMDAECbFmoP5ayJnhwAANqYmqsch9pDOWsiyQEAoA0J9VWOayLJAQCgDQn1VY5rIskBAKCNCsVVjmsiyQEAoI0K4fxGEkkOAAAIUSQ5AAC0EW1hleOaWCcHAIA2oK2sclwTPTkAALQBbWWV45royQEAoI0J5VWOa6InBwCANiaUVzmuiSQHAIA2oOajHNoKkhwAAEJcW3qUQ00kOQAAhLi29CiHmkhyAABoQ0L9UQ41keQAANCGtJH8RhJJDgAAIa2trXJcE+vkAAAQotriKsc10ZMDAECIaourHNfkVZIze/ZsXXvtterUqZNiYmI0evRo7dmzxyPm5ptvVlhYmMdrwoQJHjEHDx5Uenq62rdvr5iYGE2dOlXnz5/3iFm7dq2uueYa2e129evXT4sXL67VngULFqhPnz6KjIxUSkqKPvvsM28uBwCAkFZzbZwt01LbVNGx5GWSs27dOmVmZmrjxo3Ky8tTRUWFRo4cqdLSUo+4Rx55REeOHLFec+fOtfZVVlYqPT1d5eXl2rBhg9566y0tXrxY06dPt2L279+v9PR03XLLLdq2bZsmT56shx9+WCtXrrRi3n33XWVlZWnGjBn6/PPPNXjwYKWlpeno0aNN/VkAABAyLlwbp62sclxTmDFNXwPx2LFjiomJ0bp16zRixAhJ3/bkDBkyRPPmzavzmI8//ljf//73dfjwYcXGxkqSFi5cqOzsbB07dkw2m03Z2dnKzc3Vjh07rOPuu+8+FRcXa8WKFZKklJQUXXvttXrllVckSVVVVUpISNDjjz+up556qlHtd7vdio6OVklJiRwOR1N/DAAABJwz5eeVPP3bzoHkng7l/uKGkElyGvv93ayanJKSEklS165dPba//fbb6t69u6666irl5OTozJkz1r6CggINHDjQSnAkKS0tTW63Wzt37rRiUlNTPc6ZlpamgoJvM9Ly8nIVFhZ6xISHhys1NdWKAQAA32prw1TVmjy7qqqqSpMnT9Z3v/tdXXXVVdb2+++/X4mJiYqPj9cXX3yh7Oxs7dmzR3/5y18kSS6XyyPBkWS9d7lcDca43W6dPXtWJ0+eVGVlZZ0xu3fvrrfNZWVlKisrs9673e4mXDkAAIGv5jhNG8xvJDUjycnMzNSOHTv0ySefeGx/9NFHrf8fOHCgevbsqdtuu0379u3TZZdd1vSW+sDs2bM1c+ZMv7YBAICW1lafVXWhJg1XTZw4UcuXL9eaNWvUq1evBmNTUlIkSXv37pUkxcXFqaioyCOm+n1cXFyDMQ6HQ1FRUerevbsiIiLqjKk+R11ycnJUUlJivb7++utGXC0AAMGlrT6r6kJeJTnGGE2cOFHvv/++Vq9eraSkpIses23bNklSz549JUlOp1Pbt2/3mAWVl5cnh8Oh5ORkKyY/P9/jPHl5eXI6nZIkm82moUOHesRUVVUpPz/fiqmL3W6Xw+HweAEAEMraaj2O5OVwVWZmppYsWaIPP/xQnTp1smpooqOjFRUVpX379mnJkiX63ve+p27duumLL77QlClTNGLECA0aNEiSNHLkSCUnJ+uBBx7Q3Llz5XK5NG3aNGVmZsput0uSJkyYoFdeeUVPPvmkHnroIa1evVpLly5Vbm6u1ZasrCxlZGRo2LBhGj58uObNm6fS0lKNGzfOVz8bAACCzoWPcWij+c23jBck1flatGiRMcaYgwcPmhEjRpiuXbsau91u+vXrZ6ZOnWpKSko8znPgwAEzatQoExUVZbp3726eeOIJU1FR4RGzZs0aM2TIEGOz2Uzfvn2tz6jp5ZdfNr179zY2m80MHz7cbNy40ZvLMSUlJUZSrfYBABCMqqqqzF2vfmoSs5dbr9KyiosfGGQa+/3drHVygh3r5AAAQknNtXGkbx/jEIrDVY39/uYBnQAAhKAt01LVrYMt5BIcb/CATgAAQkTNsZm2+BiHC5HkAAAQAgxr49RCkgMAQAhgbZzaSHIAAAgxoVhs3BQkOQAAhACeVVUbSQ4AAEGOepy6keQAABDkqMepG0kOAABBruZQFfU4/0GSAwBAELtwqIr85j9IcgAACGIMVdWPJAcAgBDBUJUnkhwAAIKUMUZnyiut9+Q3nnhAJwAAQcgYox8vLFDhVyf93ZSARU8OAABB6GxFpUeCMyyxC/U4F6AnBwCAILdlWqq6dbBRj3MBenIAAAhCNdfGaW+LIMGpA0kOAABBhsc4NA5JDgAAQYa1cRqHJAcAgCDG2jj1I8kBACCIsDZO4zG7CgCAIMHaON6hJwcAgCDB2jjeoScHAIAgxNo4F0dPDgAAQYi1cS6OJAcAAIQkkhwAAILAhbOqcHHU5AAAEOCYVdU09OQAABDgmFXVNPTkAAAQRJhV1Xj05AAAEESYVdV4JDkAACAkkeQAAICQRJIDAABCkldJzuzZs3XttdeqU6dOiomJ0ejRo7Vnzx6PmHPnzikzM1PdunVTx44ddffdd6uoqMgj5uDBg0pPT1f79u0VExOjqVOn6vz58x4xa9eu1TXXXCO73a5+/fpp8eLFtdqzYMEC9enTR5GRkUpJSdFnn33mzeUAABDwWB+n6bxKctatW6fMzExt3LhReXl5qqio0MiRI1VaWmrFTJkyRX/729+0bNkyrVu3TocPH9Zdd91l7a+srFR6errKy8u1YcMGvfXWW1q8eLGmT59uxezfv1/p6em65ZZbtG3bNk2ePFkPP/ywVq5cacW8++67ysrK0owZM/T5559r8ODBSktL09GjR5vz8wAAIGBUr48z7LlV/m5KUAozxpimHnzs2DHFxMRo3bp1GjFihEpKStSjRw8tWbJEP/7xjyVJu3fv1hVXXKGCggJdd911+vjjj/X9739fhw8fVmxsrCRp4cKFys7O1rFjx2Sz2ZSdna3c3Fzt2LHD+qz77rtPxcXFWrFihSQpJSVF1157rV555RVJUlVVlRISEvT444/rqaeealT73W63oqOjVVJSIofD0dQfAwAALeJM+XklT//PP/CHJXbRsgnONj+7qrHf382qySkpKZEkde3aVZJUWFioiooKpaamWjEDBgxQ7969VVBQIEkqKCjQwIEDrQRHktLS0uR2u7Vz504rpuY5qmOqz1FeXq7CwkKPmPDwcKWmploxdSkrK5Pb7fZ4AQAQDLZMSyXB8VKTk5yqqipNnjxZ3/3ud3XVVVdJklwul2w2mzp37uwRGxsbK5fLZcXUTHCq91fvayjG7Xbr7Nmz+uabb1RZWVlnTPU56jJ79mxFR0dbr4SEBO8vHACAVnBhLQ7r43ivyUlOZmamduzYoXfeeceX7WlROTk5KikpsV5ff/21v5sEAEAt1OL4RpMe6zBx4kQtX75c69evV69evaztcXFxKi8vV3FxsUdvTlFRkeLi4qyYC2dBVc++qhlz4YysoqIiORwORUVFKSIiQhEREXXGVJ+jLna7XXa73fsLBgCgFfGsKt/wqifHGKOJEyfq/fff1+rVq5WUlOSxf+jQoWrXrp3y8/OtbXv27NHBgwfldDolSU6nU9u3b/eYBZWXlyeHw6Hk5GQrpuY5qmOqz2Gz2TR06FCPmKqqKuXn51sxAAAEowuHqajFaTqvenIyMzO1ZMkSffjhh+rUqZNV/xIdHa2oqChFR0dr/PjxysrKUteuXeVwOPT444/L6XTquuuukySNHDlSycnJeuCBBzR37ly5XC5NmzZNmZmZVi/LhAkT9Morr+jJJ5/UQw89pNWrV2vp0qXKzc212pKVlaWMjAwNGzZMw4cP17x581RaWqpx48b56mcDAECrqh6mqtmLQy1OMxgvSKrztWjRIivm7Nmz5uc//7np0qWLad++vfnRj35kjhw54nGeAwcOmFGjRpmoqCjTvXt388QTT5iKigqPmDVr1pghQ4YYm81m+vbt6/EZ1V5++WXTu3dvY7PZzPDhw83GjRu9uRxTUlJiJJmSkhKvjgMAoCWUllWYxOzl1uvuVz81VVVV/m5WwGns93ez1skJdqyTAwAIJDXXxdkyLVXdOtjoxalDq6yTAwAAWgbDVM1HkgMAAEISSQ4AAAHA8CBOn2vSOjkAAMB3TB2zqtB89OQAAOBnLP7XMujJAQAggDCrynfoyQEAIIAwq8p3SHIAAPAjCo5bDsNVAAD4CQXHLYueHAAA/ISC45ZFTw4AAH5S88FKFBz7Hj05AAD4gTFG9ywssN5TcOx7JDkAAPjB2YpK7TriliQl93QwTNUCSHIAAPCzZROc9OK0AJIcAAD8jPymZZDkAADQylgbp3UwuwoAgFbE2jith54cAABaEWvjtB56cgAA8BPWxmlZ9OQAANCKai4AyNo4LYskBwCAVnLhAoBoWSQ5AAC0EhYAbF0kOQAA+AELALY8khwAAFrBhWvjkN+0PGZXAQDQwlgbxz/oyQEAoIWxNo5/0JMDAEALunCYirVxWg9JDgAALaSuYSrWxmk9DFcBANBCGKbyL3pyAABoBQxTtT56cgAAaCE8wsG/SHIAAGgBPMLB/0hyAABoATzCwf+8TnLWr1+vH/zgB4qPj1dYWJg++OADj/0PPvigwsLCPF533HGHR8yJEyc0duxYORwOde7cWePHj9fp06c9Yr744gvdeOONioyMVEJCgubOnVurLcuWLdOAAQMUGRmpgQMH6qOPPvL2cgAAaHE8wsE/vE5ySktLNXjwYC1YsKDemDvuuENHjhyxXn/+85899o8dO1Y7d+5UXl6eli9frvXr1+vRRx+19rvdbo0cOVKJiYkqLCzU888/r2eeeUa///3vrZgNGzZozJgxGj9+vLZu3arRo0dr9OjR2rFjh7eXBACAT/EIh8AQZkzNsigvDw4L0/vvv6/Ro0db2x588EEVFxfX6uGp9uWXXyo5OVmbN2/WsGHDJEkrVqzQ9773PR06dEjx8fF67bXX9Otf/1oul0s2m02S9NRTT+mDDz7Q7t27JUn33nuvSktLtXz5cuvc1113nYYMGaKFCxc2qv1ut1vR0dEqKSmRw+Fowk8AAABPda2Ns2tWmtrbmNDsK439/m6Rmpy1a9cqJiZG/fv312OPPabjx49b+woKCtS5c2crwZGk1NRUhYeHa9OmTVbMiBEjrARHktLS0rRnzx6dPHnSiklNTfX43LS0NBUU1F/kVVZWJrfb7fECAMCXWBsncPg8rbzjjjt01113KSkpSfv27dOvfvUrjRo1SgUFBYqIiJDL5VJMTIxnIy65RF27dpXL5ZIkuVwuJSUlecTExsZa+7p06SKXy2VtqxlTfY66zJ49WzNnzvTFZQIAcFGsjeNfPk9y7rvvPuv/Bw4cqEGDBumyyy7T2rVrddttt/n647ySk5OjrKws673b7VZCQoIfWwQACGWsjeNfLT6FvG/fvurevbv27t0rSYqLi9PRo0c9Ys6fP68TJ04oLi7OiikqKvKIqX5/sZjq/XWx2+1yOBweLwAAfOHbYuPzHgXH8K8WT3IOHTqk48ePq2fPnpIkp9Op4uJiFRYWWjGrV69WVVWVUlJSrJj169eroqLCisnLy1P//v3VpUsXKyY/P9/js/Ly8uR0Olv6kgAA8FBdbJw8faWGPbfK383Bv3md5Jw+fVrbtm3Ttm3bJEn79+/Xtm3bdPDgQZ0+fVpTp07Vxo0bdeDAAeXn5+vOO+9Uv379lJaWJkm64oordMcdd+iRRx7RZ599pk8//VQTJ07Ufffdp/j4eEnS/fffL5vNpvHjx2vnzp169913NX/+fI+hpkmTJmnFihX63e9+p927d+uZZ57Rli1bNHHiRB/8WAAAaLwLi40lCo4DgvHSmjVrjKRar4yMDHPmzBkzcuRI06NHD9OuXTuTmJhoHnnkEeNyuTzOcfz4cTNmzBjTsWNH43A4zLhx48ypU6c8Yv7xj3+YG264wdjtdnPppZeaOXPm1GrL0qVLzeWXX25sNpu58sorTW5urlfXUlJSYiSZkpISb38MAABYSssqTGL2cpOYvdwcO3XOlJZVmKqqKn83K2Q19vu7WevkBDvWyQEANJcxRsdLy61hKtbEaXmN/f7mLgAA0ESmjoX/EDh4QCcAAE3Ewn+BjZ4cAAB8gIX/Ag89OQAANIG54CGcLPwXeOjJAQDAS9TiBAd6cgAA8BK1OMGBnhwAAJqBWpzARU8OAABeqrnCHLU4gYskBwAALxhjdM/CAn83A41AkgMAgBfOVlRq1xG3JCm5p4NanABGkgMAQCNdOG182QQnQ1UBjMJjAAAaoa5p4+Q3gY2eHAAAGoFp48GHnhwAALzEtPHgQE8OAAAXwSMcghM9OQAANIBHOAQvenIAAGgAtTjBi54cAAAaiVqc4EKSAwBAHYwxOltRSS1OECPJAQDgAtThhAZqcgAAuMCFdTgStTjBiJ4cAAAasGVaqtrbIhTVjqGqYEOSAwBADXWtidPextdlMOKuAQDwb9TihBZqcgAA+DfWxAkt9OQAAFAH1sQJfvTkAABQB9bECX4kOQAAICQxXAUAaPPqWt0YwY8kBwDQpjGjKnQxXAUAaNNY3Th00ZMDAMC/sbpxaCHJAQC0WaxuHNq4kwCANolanNDndU3O+vXr9YMf/EDx8fEKCwvTBx984LHfGKPp06erZ8+eioqKUmpqqv75z396xJw4cUJjx46Vw+FQ586dNX78eJ0+fdoj5osvvtCNN96oyMhIJSQkaO7cubXasmzZMg0YMECRkZEaOHCgPvroI28vBwDQRrG6cejzOskpLS3V4MGDtWDBgjr3z507V//zP/+jhQsXatOmTerQoYPS0tJ07tw5K2bs2LHauXOn8vLytHz5cq1fv16PPvqotd/tdmvkyJFKTExUYWGhnn/+eT3zzDP6/e9/b8Vs2LBBY8aM0fjx47V161aNHj1ao0eP1o4dO7y9JABAG7dlWqqWTXBShxNqTDNIMu+//771vqqqysTFxZnnn3/e2lZcXGzsdrv585//bIwxZteuXUaS2bx5sxXz8ccfm7CwMPOvf/3LGGPMq6++arp06WLKysqsmOzsbNO/f3/r/U9+8hOTnp7u0Z6UlBTzs5/9rNHtLykpMZJMSUlJo48BAAS3qqoqU1pWYY6dOmcSs5ebxOzlprSswt/Nghca+/3t0ynk+/fvl8vlUmpqqrUtOjpaKSkpKigokCQVFBSoc+fOGjZsmBWTmpqq8PBwbdq0yYoZMWKEbDabFZOWlqY9e/bo5MmTVkzNz6mOqf6cupSVlcntdnu8AABth/l3HU7y9JUa9twqfzcHLcynSY7L5ZIkxcbGemyPjY219rlcLsXExHjsv+SSS9S1a1ePmLrOUfMz6oup3l+X2bNnKzo62nolJCR4e4kAgCDGmjhtS5uaXZWTk6OsrCzrvdvtJtEBgDbCXDBdnDVxQp9Pk5y4uDhJUlFRkXr27GltLyoq0pAhQ6yYo0ePehx3/vx5nThxwjo+Li5ORUVFHjHV7y8WU72/Lna7XXa7vQlXBgAIZqaO6eKsiRP6fDpclZSUpLi4OOXn51vb3G63Nm3aJKfTKUlyOp0qLi5WYWGhFbN69WpVVVUpJSXFilm/fr0qKiqsmLy8PPXv319dunSxYmp+TnVM9ecAAFCN6eJtk9cp7OnTp7V3717r/f79+7Vt2zZ17dpVvXv31uTJk/Xcc8/pO9/5jpKSkvT0008rPj5eo0ePliRdccUVuuOOO/TII49o4cKFqqio0MSJE3XfffcpPj5eknT//fdr5syZGj9+vLKzs7Vjxw7Nnz9fL730kvW5kyZN0k033aTf/e53Sk9P1zvvvKMtW7Z4TDMHAOBCW6alqlsHG0NUbYG307bWrFljJNV6ZWRkGGO+nZr39NNPm9jYWGO3281tt91m9uzZ43GO48ePmzFjxpiOHTsah8Nhxo0bZ06dOuUR849//MPccMMNxm63m0svvdTMmTOnVluWLl1qLr/8cmOz2cyVV15pcnNzvboWppADQGhjunhoauz3d5gxxvgxx/Irt9ut6OholZSUyOFw+Ls5AAAfMvU8tmHXrDRqcYJcY7+/fVqTAwBAoGC6OEhlAQAhj+nibRNJDgAg5JgL1sRhunjbxB0HAISU+mpx0PZQkwMACCmsiYNq9OQAAEKCMUZnKyprPbqBNXHaLpIcAEDQq2+Iqr2NQuO2jOEqAEDQY7o46kJPDgAgpDBdHNVIcgAAQam6BkcS08VRJ/4UAACCDtPE0RjU5AAAgk5dNTgSdTjwRE8OACCoVdfgSKIOBx5IcgAAQY0aHNSH4SoAABCSSH0BAEGjrlWNgfqQ5AAAggIzquAthqsAAEGBVY3hLXpyAAABrb4Hb7KqMS6GJAcAELAaevAmM6pwMQxXAQACFkNUaA7SYABAUGCICt4iyQEABJy66nAYooK3+NMCAAgoTBWHr1CTAwAIKNThwFfoyQEABCzqcNAcJDkAgIBAHQ58jT85AAC/ow4HLYGaHACA31GHg5ZATw4AwC+qh6ck8cgGtAiSHABAq2toeIo6HPgKw1UAgFZX1/CUxBAVfItUGQDgV9XDU5IYooJP+bwn55lnnlFYWJjHa8CAAdb+c+fOKTMzU926dVPHjh119913q6ioyOMcBw8eVHp6utq3b6+YmBhNnTpV58+f94hZu3atrrnmGtntdvXr10+LFy/29aUAAHzMGKMz5efrnCbe3nYJCQ58qkV6cq688kqtWrXqPx9yyX8+ZsqUKcrNzdWyZcsUHR2tiRMn6q677tKnn34qSaqsrFR6erri4uK0YcMGHTlyRD/96U/Vrl07/fa3v5Uk7d+/X+np6ZowYYLefvtt5efn6+GHH1bPnj2VlpbWEpcEAGgmpomjtbVIknPJJZcoLi6u1vaSkhK9+eabWrJkiW699VZJ0qJFi3TFFVdo48aNuu666/T3v/9du3bt0qpVqxQbG6shQ4bo2WefVXZ2tp555hnZbDYtXLhQSUlJ+t3vfidJuuKKK/TJJ5/opZdeIskBgADFNHG0thYpPP7nP/+p+Ph49e3bV2PHjtXBgwclSYWFhaqoqFBqaqoVO2DAAPXu3VsFBQWSpIKCAg0cOFCxsbFWTFpamtxut3bu3GnF1DxHdUz1OepTVlYmt9vt8QIAtJz/DE+drzVNfNesNC2b4GSICi3G5z05KSkpWrx4sfr3768jR45o5syZuvHGG7Vjxw65XC7ZbDZ17tzZ45jY2Fi5XC5Jksvl8khwqvdX72soxu126+zZs4qKiqqzbbNnz9bMmTN9cZkAgItgmjj8zed/wkaNGmX9/6BBg5SSkqLExEQtXbq03uSjteTk5CgrK8t673a7lZCQ4McWAUDoYpo4/K3F0+jOnTvr8ssv1969e3X77bervLxcxcXFHr05RUVFVg1PXFycPvvsM49zVM++qhlz4YysoqIiORyOBhMpu90uu93ui8sCAHiBaeLwhxZfDPD06dPat2+fevbsqaFDh6pdu3bKz8+39u/Zs0cHDx6U0+mUJDmdTm3fvl1Hjx61YvLy8uRwOJScnGzF1DxHdUz1OQAA/lFfDQ7TxOEPPu/J+eUvf6kf/OAHSkxM1OHDhzVjxgxFRERozJgxio6O1vjx45WVlaWuXbvK4XDo8ccfl9Pp1HXXXSdJGjlypJKTk/XAAw9o7ty5crlcmjZtmjIzM61emAkTJuiVV17Rk08+qYceekirV6/W0qVLlZub6+vLAQA0ElPEEWh8nuQcOnRIY8aM0fHjx9WjRw/dcMMN2rhxo3r06CFJeumllxQeHq67775bZWVlSktL06uvvmodHxERoeXLl+uxxx6T0+lUhw4dlJGRoVmzZlkxSUlJys3N1ZQpUzR//nz16tVLb7zxBtPHAcCPqMFBoAkzxhh/N8Jf3G63oqOjVVJSIofD4e/mAEDQufBJ4sOe+3YhWGpw0JIa+/3N/D0AQJMwRRyBjqeQAwCahOEpBDrSbABAszE8hUBEkgMAaJSa9TeS6pwiDgQS/kQCAC6K6eEIRtTkAAAuqr76G4kaHAQuenIAAF6pWX8jUYODwEWSAwCohfobhAL+lAIAPFB/g1BBTQ4AwAP1NwgV9OQAQBt24bCU5Dk0Rf0NghlJDgC0UY0ZlqL+BsGM4SoAaKMaGpaSGJpC8CM9BwDUGpaSGJpC8CPJAYA2gmnhaGv4Ew0AbQDTwtEWUZMDAG0A08LRFtGTAwAhoq7p4NWYFo62iCQHAEKAN8NR1N+grWC4CgBCwMWmg1djaAptCak8AISYuqaDV2NoCm0JSQ4ABInG1twwHAV8i98CAAgCTAEHvEdNDgAEAWpuAO/Rk+NjDXUnN4RxcqBtu9jfHQ1NAa+Jv0uA/yDJ8bGzFZVKnr7S6+OGJXbRsglO/nIC2iBvh6KouQEah+GqALHlq5NN6gECEPwaOxQlMRwFeIN/CvhYVLsI7ZqV1uj4M+WVGvbcqhZsEYBg0tBQlMRwFOANkhwfCwsLa3I3cs0xd2/xFx8QeBpbo8f0b6Bl8JsUQJrTo0NNDxBYmPIN+B81OX4W1S5CwxK7NPs81PQAgcWbOptq1NsAvkVPjp+FhYVp2QRnkxOUmjU9zRnu8gWGzBAqmroURE2NnfJdE79DgG+R5ASA5tTx1OTvAmaGzBAKWmKYiTobwD+CfrhqwYIF6tOnjyIjI5WSkqLPPvvM301qVb4a7vIFhswQCpoyzNQQhqAA/wnqf1q8++67ysrK0sKFC5WSkqJ58+YpLS1Ne/bsUUxMjL+b1yqaO9zlC0yDR6hq7DBTQxiCAvwnqJOcF198UY888ojGjRsnSVq4cKFyc3P1hz/8QU899ZSfW9d6fDXc5Qv+rgsCmovp3EDoCNrf3vLychUWFionJ8faFh4ertTUVBUUFPixZW0bPToAgEARtDU533zzjSorKxUbG+uxPTY2Vi6Xq85jysrK5Ha7PV5ovkCqCwJ8hVoaIPgFbU9OU8yePVszZ870dzNCTiDUBQG+Ri0NEPyCNsnp3r27IiIiVFRU5LG9qKhIcXFxdR6Tk5OjrKws673b7VZCQkKLtrOtCKS6IAAApCAerrLZbBo6dKjy8/OtbVVVVcrPz5fT6azzGLvdLofD4fECAAChKaj/6Z2VlaWMjAwNGzZMw4cP17x581RaWmrNtgIAAG1XUCc59957r44dO6bp06fL5XJpyJAhWrFiRa1iZAAA0PaEGWOMvxvhL263W9HR0SopKWHoCgCAINHY7++grckBAABoCEkOAAAISSQ5AAAgJJHkAACAkESSAwAAQhJJDgAACEkkOQAAICSR5AAAgJBEkgMAAEJSUD/WobmqF3t2u91+bgkAAGis6u/tiz20oU0nOadOnZIkJSQk+LklAADAW6dOnVJ0dHS9+9v0s6uqqqp0+PBhderUSWFhYT47r9vtVkJCgr7++uuQfSZWqF8j1xf8Qv0aQ/36pNC/xlC/PqnlrtEYo1OnTik+Pl7h4fVX3rTpnpzw8HD16tWrxc7vcDhC9g9utVC/Rq4v+IX6NYb69Umhf42hfn1Sy1xjQz041Sg8BgAAIYkkBwAAhCSSnBZgt9s1Y8YM2e12fzelxYT6NXJ9wS/UrzHUr08K/WsM9euT/H+NbbrwGAAAhC56cgAAQEgiyQEAACGJJAcAAIQkkhwAABCSSHKa4De/+Y2uv/56tW/fXp07d64z5uDBg0pPT1f79u0VExOjqVOn6vz58w2e98SJExo7dqwcDoc6d+6s8ePH6/Tp0y1wBd5Zu3atwsLC6nxt3ry53uNuvvnmWvETJkxoxZZ7p0+fPrXaO2fOnAaPOXfunDIzM9WtWzd17NhRd999t4qKilqpxY134MABjR8/XklJSYqKitJll12mGTNmqLy8vMHjAv0eLliwQH369FFkZKRSUlL02WefNRi/bNkyDRgwQJGRkRo4cKA++uijVmqpd2bPnq1rr71WnTp1UkxMjEaPHq09e/Y0eMzixYtr3avIyMhWarH3nnnmmVrtHTBgQIPHBMv9k+r++yQsLEyZmZl1xgfD/Vu/fr1+8IMfKD4+XmFhYfrggw889htjNH36dPXs2VNRUVFKTU3VP//5z4ue19vfY2+Q5DRBeXm57rnnHj322GN17q+srFR6errKy8u1YcMGvfXWW1q8eLGmT5/e4HnHjh2rnTt3Ki8vT8uXL9f69ev16KOPtsQleOX666/XkSNHPF4PP/ywkpKSNGzYsAaPfeSRRzyOmzt3biu1umlmzZrl0d7HH3+8wfgpU6bob3/7m5YtW6Z169bp8OHDuuuuu1qptY23e/duVVVV6fXXX9fOnTv10ksvaeHChfrVr3510WMD9R6+++67ysrK0owZM/T5559r8ODBSktL09GjR+uM37Bhg8aMGaPx48dr69atGj16tEaPHq0dO3a0cssvbt26dcrMzNTGjRuVl5eniooKjRw5UqWlpQ0e53A4PO7VV1991Uotbporr7zSo72ffPJJvbHBdP8kafPmzR7XlpeXJ0m655576j0m0O9faWmpBg8erAULFtS5f+7cufqf//kfLVy4UJs2bVKHDh2Ulpamc+fO1XtOb3+PvWbQZIsWLTLR0dG1tn/00UcmPDzcuFwua9trr71mHA6HKSsrq/Ncu3btMpLM5s2brW0ff/yxCQsLM//617983vbmKC8vNz169DCzZs1qMO6mm24ykyZNap1G+UBiYqJ56aWXGh1fXFxs2rVrZ5YtW2Zt+/LLL40kU1BQ0AIt9K25c+eapKSkBmMC+R4OHz7cZGZmWu8rKytNfHy8mT17dp3xP/nJT0x6errHtpSUFPOzn/2sRdvpC0ePHjWSzLp16+qNqe/vo0A1Y8YMM3jw4EbHB/P9M8aYSZMmmcsuu8xUVVXVuT/Y7p8k8/7771vvq6qqTFxcnHn++eetbcXFxcZut5s///nP9Z7H299jb9GT0wIKCgo0cOBAxcbGWtvS0tLkdru1c+fOeo/p3LmzR89IamqqwsPDtWnTphZvszf++te/6vjx4xo3btxFY99++211795dV111lXJycnTmzJlWaGHTzZkzR926ddPVV1+t559/vsEhxsLCQlVUVCg1NdXaNmDAAPXu3VsFBQWt0dxmKSkpUdeuXS8aF4j3sLy8XIWFhR4/+/DwcKWmptb7sy8oKPCIl779vQyWeyXpovfr9OnTSkxMVEJCgu688856/74JFP/85z8VHx+vvn37auzYsTp48GC9scF8/8rLy/WnP/1JDz30UIMPgw62+1fT/v375XK5PO5RdHS0UlJS6r1HTfk99labfkBnS3G5XB4JjiTrvcvlqveYmJgYj22XXHKJunbtWu8x/vLmm28qLS3tog83vf/++5WYmKj4+Hh98cUXys7O1p49e/SXv/yllVrqnV/84he65ppr1LVrV23YsEE5OTk6cuSIXnzxxTrjXS6XbDZbrbqs2NjYgLtnF9q7d69efvllvfDCCw3GBeo9/Oabb1RZWVnn79nu3bvrPKa+38tAv1dVVVWaPHmyvvvd7+qqq66qN65///76wx/+oEGDBqmkpEQvvPCCrr/+eu3cubNFH0TcVCkpKVq8eLH69++vI0eOaObMmbrxxhu1Y8cOderUqVZ8sN4/Sfrggw9UXFysBx98sN6YYLt/F6q+D97co6b8HnuLJOffnnrqKf33f/93gzFffvnlRQvjgklTrvnQoUNauXKlli5detHz16wnGjhwoHr27KnbbrtN+/bt02WXXdb0hnvBm2vMysqytg0aNEg2m00/+9nPNHv27IBddr0p9/Bf//qX7rjjDt1zzz165JFHGjw2EO5hW5eZmakdO3Y0WK8iSU6nU06n03p//fXX64orrtDrr7+uZ599tqWb6bVRo0ZZ/z9o0CClpKQoMTFRS5cu1fjx4/3YMt978803NWrUKMXHx9cbE2z3L1iQ5PzbE0880WCWLUl9+/Zt1Lni4uJqVYdXz7iJi4ur95gLC63Onz+vEydO1HtMczXlmhctWqRu3brphz/8odefl5KSIunbXoTW+oJszn1NSUnR+fPndeDAAfXv37/W/ri4OJWXl6u4uNijN6eoqKjF7tmFvL2+w4cP65ZbbtH111+v3//+915/nj/uYV26d++uiIiIWjPZGvrZx8XFeRUfCCZOnGhNQvD2X/Pt2rXT1Vdfrb1797ZQ63yrc+fOuvzyy+ttbzDeP0n66quvtGrVKq97P4Pt/lXfh6KiIvXs2dPaXlRUpCFDhtR5TFN+j73mk8qeNupihcdFRUXWttdff904HA5z7ty5Os9VXXi8ZcsWa9vKlSsDqvC4qqrKJCUlmSeeeKJJx3/yySdGkvnHP/7h45a1jD/96U8mPDzcnDhxos791YXH7733nrVt9+7dAVt4fOjQIfOd73zH3Hfffeb8+fNNOkcg3cPhw4ebiRMnWu8rKyvNpZde2mDh8fe//32PbU6nMyALV6uqqkxmZqaJj483//d//9ekc5w/f97079/fTJkyxcetaxmnTp0yXbp0MfPnz69zfzDdv5pmzJhh4uLiTEVFhVfHBfr9Uz2Fxy+88IK1raSkpFGFx978HnvdTp+cpY356quvzNatW83MmTNNx44dzdatW83WrVvNqVOnjDHf/uG86qqrzMiRI822bdvMihUrTI8ePUxOTo51jk2bNpn+/fubQ4cOWdvuuOMOc/XVV5tNmzaZTz75xHznO98xY8aMafXrq8+qVauMJPPll1/W2nfo0CHTv39/s2nTJmOMMXv37jWzZs0yW7ZsMfv37zcffvih6du3rxkxYkRrN7tRNmzYYF566SWzbds2s2/fPvOnP/3J9OjRw/z0pz+1Yi68RmOMmTBhgundu7dZvXq12bJli3E6ncbpdPrjEhp06NAh069fP3PbbbeZQ4cOmSNHjlivmjHBdA/feecdY7fbzeLFi82uXbvMo48+ajp37mzNanzggQfMU089ZcV/+umn5pJLLjEvvPCC+fLLL82MGTNMu3btzPbt2/11CfV67LHHTHR0tFm7dq3HvTpz5owVc+H1zZw506xcudLs27fPFBYWmvvuu89ERkaanTt3+uMSLuqJJ54wa9euNfv37zeffvqpSU1NNd27dzdHjx41xgT3/atWWVlpevfubbKzs2vtC8b7d+rUKev7TpJ58cUXzdatW81XX31ljDFmzpw5pnPnzubDDz80X3zxhbnzzjtNUlKSOXv2rHWOW2+91bz88svW+4v9HjcXSU4TZGRkGEm1XmvWrLFiDhw4YEaNGmWioqJM9+7dzRNPPOGRya9Zs8ZIMvv377e2HT9+3IwZM8Z07NjROBwOM27cOCtxCgRjxowx119/fZ379u/f7/EzOHjwoBkxYoTp2rWrsdvtpl+/fmbq1KmmpKSkFVvceIWFhSYlJcVER0ebyMhIc8UVV5jf/va3Hj1vF16jMcacPXvW/PznPzddunQx7du3Nz/60Y88EodAsWjRojr/zNbszA3Ge/jyyy+b3r17G5vNZoYPH242btxo7bvppptMRkaGR/zSpUvN5Zdfbmw2m7nyyitNbm5uK7e4ceq7V4sWLbJiLry+yZMnWz+L2NhY873vfc98/vnnrd/4Rrr33ntNz549jc1mM5deeqm59957zd69e639wXz/qq1cudJIMnv27Km1LxjvX/X31oWv6uuoqqoyTz/9tImNjTV2u93cdtttta49MTHRzJgxw2NbQ7/HzRVmjDG+GfgCAAAIHKyTAwAAQhJJDgAACEkkOQAAICSR5AAAgJBEkgMAAEISSQ4AAAhJJDkAACAkkeQAAICQRJIDAABCEkkOAAAISSQ5AELGsWPHFBcXp9/+9rfWtg0bNshmsyk/P9+PLQPgDzy7CkBI+eijjzR69Ght2LBB/fv315AhQ3TnnXfqxRdf9HfTALQykhwAISczM1OrVq3SsGHDtH37dm3evFl2u93fzQLQykhyAIScs2fP6qqrrtLXX3+twsJCDRw40N9NAuAH1OQACDn79u3T4cOHVVVVpQMHDvi7OQD8hJ4cACGlvLxcw4cP15AhQ9S/f3/NmzdP27dvV0xMjL+bBqCVkeQACClTp07Ve++9p3/84x/q2LGjbrrpJkVHR2v58uX+bhqAVsZwFYCQsXbtWs2bN09//OMf5XA4FB4erj/+8Y/63//9X7322mv+bh6AVkZPDgAACEn05AAAgJBEkgMAAEISSQ4AAAhJJDkAACAkkeQAAICQRJIDAABCEkkOAAAISSQ5AAAgJJHkAACAkESSAwAAQhJJDgAACEkkOQAAICT9f2o1U93iI9dxAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-10.0, -9.46)\": 1274.2, \"(-9.46, -8.75)\": 886.7, \"(-8.75, -7.28)\": 497.8, \"(-7.28, 0.69)\": 111.5, \"(0.69, 1.45)\": 492.6, \"(1.45, 1.97)\": 885.5, \"(1.97, 2.35)\": 1270.5, \"(2.35, 2.71)\": 1652.0, \"(2.71, 3.05)\": 2053.5, \"(3.05, 3.29)\": 2485.8, \"(3.29, 3.56)\": 2876.7, \"(3.56, 3.77)\": 3263.2, \"(3.77, 3.98)\": 3674.7, \"(3.98, 4.16)\": 4070.3, \"(4.16, 4.34)\": 4463.6, \"(4.34, 4.54)\": 4887.1, \"(4.54, 4.67)\": 5300.3, \"(4.67, 4.82)\": 5691.3, \"(4.82, 4.98)\": 6079.9, \"(4.98, 5.11)\": 6499.4, \"(5.11, 5.21)\": 6898.9, \"(5.21, 5.38)\": 7293.8, \"(5.38, 5.56)\": 7946.6, \"(5.56, 5.65)\": 8361.8, \"(5.65, 5.78)\": 8749.0, \"(5.78, 5.89)\": 9184.1, \"(5.89, 5.98)\": 9633.8, \"(5.98, 6.1)\": 10024.0, \"(6.1, 6.2)\": 10461.3, \"(6.2, 6.32)\": 10919.6, \"(6.32, 6.44)\": 11527.8, \"(6.44, 6.54)\": 11952.1, \"(6.54, 6.64)\": 12413.7, \"(6.64, 6.72)\": 12900.0, \"(6.72, 6.79)\": 13284.0, \"(6.79, 6.89)\": 13742.0, \"(6.89, 6.98)\": 14148.6, \"(6.98, 7.08)\": 14617.6, \"(7.08, 7.17)\": 15182.3, \"(7.17, 7.24)\": 15610.5, \"(7.24, 7.31)\": 16008.4, \"(7.31, 7.39)\": 16442.2, \"(7.39, 7.46)\": 16860.6, \"(7.46, 7.53)\": 17308.5, \"(7.53, 7.59)\": 17854.2, \"(7.59, 7.69)\": 18245.9, \"(7.69, 7.76)\": 18739.1, \"(7.76, 7.85)\": 19394.4, \"(7.85, 7.92)\": 19808.5, \"(7.92, 8.02)\": 20237.5, \"(8.02, 8.12)\": 21073.7, \"(8.12, 8.18)\": 21752.6, \"(8.18, 8.26)\": 22200.1, \"(8.26, 8.33)\": 22682.2, \"(8.33, 8.37)\": 23133.9, \"(8.37, 8.41)\": 23516.2, \"(8.41, 8.49)\": 23945.3, \"(8.49, 8.54)\": 24356.6, \"(8.54, 8.6)\": 24814.4, \"(8.6, 8.65)\": 25251.2, \"(8.65, 8.72)\": 25658.7, \"(8.72, 8.77)\": 26235.9, \"(8.77, 8.85)\": 26774.0, \"(8.85, 8.92)\": 27450.7, \"(8.92, 8.98)\": 27930.6, \"(8.98, 9.06)\": 28553.9, \"(9.06, 9.12)\": 29333.3, \"(9.12, 9.17)\": 29758.9, \"(9.17, 9.21)\": 30151.3, \"(9.21, 9.25)\": 30544.4, \"(9.25, 9.32)\": 31134.0, \"(9.32, 9.39)\": 31752.0, \"(9.39, 9.45)\": 32191.1, \"(9.45, 9.51)\": 32826.5, \"(9.51, 9.58)\": 33580.9, \"(9.58, 9.64)\": 34169.5, \"(9.64, 9.69)\": 34833.3, \"(9.69, 9.76)\": 35471.4, \"(9.76, 9.82)\": 36008.6, \"(9.82, 9.86)\": 36565.4, \"(9.86, 9.92)\": 37131.8, \"(9.92, 9.98)\": 37787.8}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-10.0, -9.94)\": -99557.1, \"(-9.94, -9.87)\": -96593.9, \"(-9.87, -9.8)\": -92323.8, \"(-9.8, -9.75)\": -90239.8, \"(-9.75, -9.69)\": -87419.5, \"(-9.69, -9.66)\": -85244.4, \"(-9.66, -9.59)\": -82995.3, \"(-9.59, -9.53)\": -79941.3, \"(-9.53, -9.47)\": -77943.9, \"(-9.47, -9.42)\": -75872.4, \"(-9.42, -9.34)\": -73673.1, \"(-9.34, -9.27)\": -70761.4, \"(-9.27, -9.2)\": -67965.4, \"(-9.2, -9.13)\": -65606.9, \"(-9.13, -9.08)\": -63123.1, \"(-9.08, -8.99)\": -61011.9, \"(-8.99, -8.92)\": -58173.1, \"(-8.92, -8.85)\": -56091.4, \"(-8.85, -8.79)\": -54078.6, \"(-8.79, -8.69)\": -51785.0, \"(-8.69, -8.64)\": -49625.6, \"(-8.64, -8.54)\": -47329.4, \"(-8.54, -8.47)\": -45334.5, \"(-8.47, -8.37)\": -43209.7, \"(-8.37, -8.27)\": -40830.7, \"(-8.27, -8.21)\": -38709.7, \"(-8.21, -8.11)\": -36509.5, \"(-8.11, -7.98)\": -34502.1, \"(-7.98, -7.86)\": -31966.0, \"(-7.86, -7.74)\": -29902.9, \"(-7.74, -7.62)\": -27722.2, \"(-7.62, -7.49)\": -25582.8, \"(-7.49, -7.35)\": -23520.0, \"(-7.35, -7.22)\": -21271.2, \"(-7.22, -7.06)\": -19262.1, \"(-7.06, -6.85)\": -17069.6, \"(-6.85, -6.62)\": -14927.7, \"(-6.62, -6.36)\": -12436.0, \"(-6.36, -6.1)\": -10319.6, \"(-6.1, -5.75)\": -8248.6, \"(-5.75, -5.29)\": -6131.1, \"(-5.29, -4.62)\": -4096.1, \"(-4.62, -2.29)\": -2062.3, \"(-2.29, 4.53)\": -62.6, \"(4.53, 5.25)\": 1949.1, \"(5.25, 5.69)\": 3975.1, \"(5.69, 6.05)\": 6004.5, \"(6.05, 6.32)\": 8199.9, \"(6.32, 6.57)\": 10215.0, \"(6.57, 6.78)\": 12239.7, \"(6.78, 6.94)\": 14276.3, \"(6.94, 7.1)\": 16300.8, \"(7.1, 7.29)\": 18314.3, \"(7.29, 7.41)\": 20523.8, \"(7.41, 7.56)\": 22578.8, \"(7.56, 7.71)\": 25162.1, \"(7.71, 7.82)\": 27395.1, \"(7.82, 7.94)\": 29501.6, \"(7.94, 8.05)\": 31955.0, \"(8.05, 8.18)\": 33949.1, \"(8.18, 8.32)\": 37824.2, \"(8.32, 8.42)\": 40198.4, \"(8.42, 8.48)\": 42348.1, \"(8.48, 8.57)\": 44454.7, \"(8.57, 8.64)\": 46718.3, \"(8.64, 8.74)\": 48729.4, \"(8.74, 8.81)\": 51162.2, \"(8.81, 8.88)\": 53381.5, \"(8.88, 8.95)\": 55474.6, \"(8.95, 9.02)\": 57580.5, \"(9.02, 9.09)\": 59897.9, \"(9.09, 9.16)\": 62683.8, \"(9.16, 9.23)\": 64958.2, \"(9.23, 9.29)\": 67087.1, \"(9.29, 9.35)\": 69474.3, \"(9.35, 9.41)\": 71754.7, \"(9.41, 9.45)\": 74257.3, \"(9.45, 9.53)\": 76720.0, \"(9.53, 9.57)\": 79235.1, \"(9.57, 9.68)\": 81360.8, \"(9.68, 9.76)\": 86671.1, \"(9.76, 9.8)\": 88741.6, \"(9.8, 9.88)\": 91245.8, \"(9.88, 9.94)\": 95023.7, \"(9.94, 9.99)\": 97534.0}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.98, -9.92)\": 97596.5, \"(-9.92, -9.87)\": 95386.4, \"(-9.87, -9.82)\": 92906.9, \"(-9.82, -9.77)\": 90789.5, \"(-9.77, -9.73)\": 88739.1, \"(-9.73, -9.67)\": 86372.3, \"(-9.67, -9.61)\": 83417.2, \"(-9.61, -9.55)\": 81399.7, \"(-9.55, -9.47)\": 78651.7, \"(-9.47, -9.43)\": 76343.1, \"(-9.43, -9.37)\": 74281.1, \"(-9.37, -9.31)\": 71960.0, \"(-9.31, -9.25)\": 69716.9, \"(-9.25, -9.18)\": 67306.3, \"(-9.18, -9.11)\": 64721.0, \"(-9.11, -9.05)\": 62448.9, \"(-9.05, -8.98)\": 60066.7, \"(-8.98, -8.84)\": 56569.9, \"(-8.84, -8.77)\": 53375.2, \"(-8.77, -8.67)\": 51396.9, \"(-8.67, -8.6)\": 48788.7, \"(-8.6, -8.52)\": 46641.7, \"(-8.52, -8.44)\": 44610.9, \"(-8.44, -8.4)\": 42620.4, \"(-8.4, -8.27)\": 40658.6, \"(-8.27, -8.18)\": 38372.2, \"(-8.18, -8.07)\": 36396.0, \"(-8.07, -7.97)\": 33978.4, \"(-7.97, -7.86)\": 31832.1, \"(-7.86, -7.74)\": 29861.4, \"(-7.74, -7.61)\": 27695.1, \"(-7.61, -7.44)\": 24874.1, \"(-7.44, -7.31)\": 22722.9, \"(-7.31, -7.14)\": 20565.6, \"(-7.14, -6.95)\": 18333.0, \"(-6.95, -6.74)\": 15934.8, \"(-6.74, -6.54)\": 13902.4, \"(-6.54, -6.31)\": 11943.2, \"(-6.31, -6.02)\": 9987.1, \"(-6.02, -5.7)\": 7940.7, \"(-5.7, -5.23)\": 5925.0, \"(-5.23, -4.53)\": 3864.7, \"(-4.53, 2.3)\": 1883.6, \"(2.3, 4.57)\": -76.3, \"(4.57, 5.27)\": -2037.1, \"(5.27, 5.71)\": -4056.9, \"(5.71, 6.04)\": -6043.2, \"(6.04, 6.34)\": -8145.1, \"(6.34, 6.56)\": -10131.9, \"(6.56, 6.76)\": -12232.2, \"(6.76, 6.97)\": -14359.1, \"(6.97, 7.14)\": -16496.5, \"(7.14, 7.29)\": -18634.4, \"(7.29, 7.44)\": -20792.0, \"(7.44, 7.56)\": -22972.9, \"(7.56, 7.7)\": -24955.7, \"(7.7, 7.81)\": -27051.9, \"(7.81, 7.92)\": -29257.6, \"(7.92, 8.03)\": -31248.9, \"(8.03, 8.11)\": -33285.0, \"(8.11, 8.22)\": -35417.7, \"(8.22, 8.32)\": -37847.2, \"(8.32, 8.41)\": -39947.8, \"(8.41, 8.51)\": -42702.9, \"(8.51, 8.59)\": -44771.4, \"(8.59, 8.66)\": -46756.9, \"(8.66, 8.73)\": -48792.3, \"(8.73, 8.8)\": -51013.6, \"(8.8, 8.88)\": -53144.3, \"(8.88, 8.96)\": -55753.0, \"(8.96, 9.03)\": -57851.1, \"(9.03, 9.09)\": -60222.0, \"(9.09, 9.16)\": -62299.4, \"(9.16, 9.23)\": -64844.5, \"(9.23, 9.29)\": -67171.3, \"(9.29, 9.37)\": -69567.5, \"(9.37, 9.42)\": -73029.5, \"(9.42, 9.5)\": -75308.4, \"(9.5, 9.58)\": -79080.1, \"(9.58, 9.64)\": -81046.9, \"(9.64, 9.7)\": -83741.1, \"(9.7, 9.74)\": -85870.7, \"(9.74, 9.81)\": -88266.1, \"(9.81, 9.86)\": -91495.1, \"(9.86, 9.93)\": -94432.6, \"(9.93, 9.97)\": -97692.9}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.98, -0.1)\": -1.003, \"(-0.1, -0.01)\": -0.981, \"(-0.01, -0.0)\": -0.903, \"(-0.0, 0.01)\": 0.828, \"(0.01, 0.02)\": 0.938, \"(0.02, 0.55)\": 0.979, \"(0.55, 9.97)\": 0.999}\n", - "\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" + ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -3041,29 +2329,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.99, -0.24)\": 1.004, \"(-0.24, -0.02)\": 0.984, \"(-0.02, -0.0)\": 0.924, \"(-0.0, 0.02)\": -0.664, \"(0.02, 0.3)\": -0.974, \"(0.3, 9.97)\": -0.996}\n", - "\n" + "Question 19\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, "output_type": "display_data" }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Question 20\n" + ] + }, { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAABk0AAAEpCAYAAAA+rmULAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAACmh0lEQVR4nOzdeVhUZfsH8O/MIIsLuKGCkiyaiCSiuQCpZSiKmrZblluZmWvW+yZm7kpl9uZu+eaaZv0qK4U0XNIUcUfFXXBBARUVEJVt5vz+mBcS2Z4zzHJm+H6ua65yuJ+Ze0bn4cy5z3M/KkmSJBAREREREREREREREVVxaksnQEREREREREREREREpAQsmhAREREREREREREREYFFEyIiIiIiIiIiIiIiIgAsmhAREREREREREREREQFg0YSIiIiIiIiIiIiIiAgAiyZEREREREREREREREQAWDQhIiIiIiIiIiIiIiICwKIJERERERERERERERERABZNiIiIiIiIiIiIiIiIALBoQg8ZMmQIPD09zfJcycnJcHR0xN69e83yfFXVsmXL8NhjjyE3N9fSqRBVCVV1Hg0PD8fw4cNljytrjsrPz4eHhweWLFlirBSJyACrVq2CSqXCoUOHjPaYlZm7OnXqhH//+99Gy8WYLl26BJVKhVWrVhn8GLb63hAp3pAhgJmO35CcDDg6AoYcv3XqBFSlz3l2NtCgAbBunfyxAwYAr7xi/JyIbITcYzydTgd/f3/Mnj3bxJmZ1sSJE9GxY0dLp0FWgkUTsogZM2agY8eOCAkJMerjrlq1CtOmTSs3Rs4Jze3bt2PYsGF4/PHHUb16dXh7e+Ptt99Gampq5RItRWpqKiZOnIhnnnkGtWrVgkqlwl9//VVq7NNPPw2VSlXi1rNnz2JxQ4YMQV5eHr7++muj50tElmWqeVSuvXv34s8//8RHH30ke2xZc1S1atUwYcIEzJ49Gzk5OcZKlYgUoDJz10cffYTFixcjLS3NBJlZHt8boipgxgygY0fAkOO3jz4CFi8GqsrnfP58oFYtfQFEro8+An7+GTh2zPh5EZlIbGwspk2bhoyMDEunUsL333+P5ORkjB492mzPefbsWbz//vsIDg6Go6MjVCoVLl26VGb877//jrZt28LR0RGPPfYYpk6dioKCgmIx48ePx7Fjx/D7779bPF8A+OCDD+Dn5wcAOHnyJF5++WV4e3ujevXqqF+/Prp06YJNmzbJykPkvCiJYdGEiixfvhxnz541+fPcvHkTq1evxrvvvmuUx7ty5QpOnz5d4v6UlBScOHECALB169YSP9dqtdi2bVu5j/3RRx/hr7/+wvPPP48FCxZgwIAB+PHHHxEYGGj0L6Vnz57FZ599hmvXruGJJ56oML5JkyZYu3ZtsdujVxg6Ojpi8ODB+PLLLyFJklHzJaKSrHUerYy5c+fi2WefRbNmzWSPLW+OGjp0KNLT07F+/XpjpUpEFlbZuatfv35wdnZW5Cq0pk2b4sGDB3jzzTcNGm/L7w2R4i1fDpjh+A03bwKrVwOGHr/16wc4OwNV4XOen68vmrz9NqDRyB8fGAg8+SQwb57xcyMykdjYWEyfPl2RRZO5c+diwIABcHFxMdtz7tu3DwsWLMDdu3fRsmXLcmP/+OMP9O/fH7Vr18bChQvRv39/zJo1C2PGjCkW16hRI/Tr1w9ffPGFRfMtFBUVhd69ewMALl++jLt372Lw4MGYP38+PvnkEwDAc889h2+++abcxxE5L0rysWhCRapVqwYHBweTP893330HOzs79O3b1yiPd+HCBfTq1QuzZs1Cfn4+JEnCsmXLEBwcjFOnTiE7OxufffYZevToUVTlPXbsGIKCgrBixYpyiwlffvklLly4gM8++wxvv/025syZg82bN+P69etYtGiRUfIv1K5dO9y6dQvnzp3DhAkTKox3cXHBG2+8UezWrVu3EnGvvPIKLl++jJ07dxo1XyIqyVrnUUPduHEDUVFReKUS7Q/KmqNq166NHj16VKrVDREpS2XnLrVajZdeeglr1qwx6GKQwlYUpqBSqeDo6AiNISf3YPn3hqhKq1YNMMPxG777DrCzAww9flOrgZdeAtasAQz5nK9aBZhoDjS6zZv1RabKtNh65RXgl1/0bb6IyGBHjx7FsWPHKvWd71Genp4VroZ47rnnkJGRgRMnTmDgwIHlxn744Ydo3bo1/vzzTwwfPhwLFixAREQEvv76a5w5c6ZY7CuvvII9e/YgKSmpsi/D4HwBICkpCWfPni0qmoSHh2PLli2YOnUqhg8fjnHjxmHnzp0ICAjAl19+We5jVXRelAzDokkVcffuXYwfPx6enp5wcHBAgwYN0L17dxw5cqQoprRe/Ldu3cKbb74JZ2dn1K5dG4MHD8axY8dK9GweMmQIatasiWvXrqF///6oWbMmXF1d8eGHH0Kr1RZ7zF9//RUdO3ZEzZo1i+47ffo0nJycMGjQoGKxe/bsgUajKbftS7du3XDixAncv38fERER+Oqrr3Ds2DEcOnQIr776KmrWrIkdO3Zg1KhReP7555Gamop3330XX375JdavX1/ul+cuXbpArVaXuK9u3bqlVnEro1atWqhbt66sMQUFBciu4CCwXbt2qFu3Ln777bfKpEdEqHguteQ8Wmj//v0IDw9HnTp1UKNGDbRu3Rrz588vFrNjxw507twZNWrUQO3atdGvX78Sc5rI742oqCgUFBQgNDS06D5JkvDMM8/A1dUVN27cKLo/Ly8PTzzxBHx8fHDv3r2i+8ubo7p37449e/bg9u3bJX5GRIa7fPky3nvvPbRo0QJOTk6oV68eXn755TJbCNy/fx8jRoxAvXr14OzsjEGDBuHOnTvFYg4dOoSwsDDUr18fTk5O8PLywrBhw4rFGOMYsHv37rh8+TLi4+MNfwMMEBMTg6eeegq1a9dGzZo10aJFC0yaNKno56XtaWLu42NLvTdEinb3LjB+vH7PEgcH/R4Z3bsDDx3PlLqnya1bwJtv6ld21K4NDB6sb/WkUumLDw+PrVkTuHYN6N9f//+ursCHHwKPfM7x66/61lwPH7+dPg04OQGPfM6xZ49+hcWj34O7dwcuXwYs8Tn/7jugQwegenWgTh2gSxfgzz+LxyxZArRqpX+v3d2BUaOAR6+aP38eePFFoFEj/f4uTZroW3BlZv4T8+uv+r8TH59/7rtxQ//ePv108aLRhQtAjRrAq68Wf57u3YF794CYmMq/diITmzZtGv71r38BALy8vIpasBcem61cuRLdunVDgwYN4ODgAD8/PyxdurTE43h6eqJPnz7Ys2cPOnToAEdHR3h7e2PNmjWlPm9ubi4mTJgAV1dX1KhRA88//zxu3rxZLObXX3+Fvb09unTpUnTfgwcP4OvrC19fXzx48KDo/tu3b8PNzQ3BwcEljnXkqlu3LmrVqlVh3KlTp3Dq1Cm88847sLOzK7r/vffegyRJ+Omnn4rFF353NfY5MtF8C0VFRcHFxQVPPfVUmTEajQYeHh4Vrj6q6LxoWVauXAmVSoUVK1YUu3/OnDlQqVSIjo4Wfj22iEWTKuLdd9/F0qVL8eKLL2LJkiX48MMP4eTkVO6Jf51Oh759++L777/H4MGDMXv2bKSmpmLw4MGlxmu1WoSFhaFevXr44osv0LVrV8ybN6/YMrL8/HwcPHgQbdu2LTa2ZcuWmDlzJtauXVvUW/DevXsYMmQIfH19MWPGjHJfn1qtLlbcKK0Qolari91v6JWG2dnZyM7ORv369Q0abyznzp1DjRo1UKtWLTRq1AiffPIJ8vPzS41t27atIjaLJrJ2cudSc86jgP6kXpcuXXDq1CmMGzcO8+bNwzPPPIPNmzcXxWzbtg1hYWG4ceMGpk2bhgkTJiA2NhYhISHFTpiKvNbY2FjUq1cPTZs2Lbqv8KArJyenWJuZqVOn4uTJk1i5ciVq1KhRLO+y5qh27dpBkiTExsaW+n4RkWEOHjyI2NhYDBgwAAsWLMC7776L7du34+mnn8b9+/dLxI8ePRqnT5/GtGnTMGjQIKxbtw79+/cvWtFw48aNohW9EydOxMKFCzFw4EDExcUVPYaxjgHbtWsHAGY9rjl58iT69OmD3NxczJgxA/PmzcNzzz0nlIM5j48t8d4QKd677wJLl+pP0i9Zoi9mODnpixVl0en0q0G+/15fLJk9G0hN1f9/abRaICwMqFcP+OILoGtXfVuoh9up5OcDBw8Cjx6/tWwJzJwJrF0LFPbYv3dPX4zx9dXvgfKw/33ODdpIvjKmT9cXkapV0+c0fTrg4QHs2PFPzLRp+iKJu7v+9b/4IvD110CPHvrXDwB5efr3Ki4OGDNGv0fLO+8ASUnFiyuxsSXfqwYN9H+Xu3YBCxfq79Pp9O9VrVol25b5+en/rjknkhV44YUX8NprrwEA/vOf/xS1YHd1dQUALF26FE2bNsWkSZMwb948eHh44L333sPixYtLPNaFCxfw0ksvoXv37pg3bx7q1KmDIUOG4OTJkyVix4wZg2PHjmHq1KkYOXIkNm3aVGLfktjYWPj7+6NatWpF9zk5OWH16tW4cOECPv7446L7R40ahczMTKxatcrg1bdyHT16FADw5JNPFrvf3d0dTZo0Kfp5IRcXF/j4+Fj8eCk6Ohrdu3cvVugB9Md66enpSExMxH/+8x/88ccfePbZZyt8PJHzoo8aOnQo+vTpgwkTJiA5ORkAcOLECUyfPh1vvfUWwsPDZb4qGyNRleDi4iKNGjWq3JjBgwdLTZs2Lfrzzz//LAGQvvrqq6L7tFqt1K1bNwmAtHLlymJjAUgzZswo9piBgYFSu3btiv584cIFCYC0cOHCEs+v1Wqlp556SmrYsKGUnp4ujRo1SrKzs5MOHjxYbt47d+6UvLy8pBkzZkjffPONNGXKFGnJkiVS06ZNpQ0bNkh3796VunfvLnXv3l1KSkqSmjZtKsXHx0vt27eXXn/9dUmn05X7+I+aOXOmBEDavn27rHFy/N///Z8EQNq5c2epPx82bJg0bdo06eeff5bWrFkjPffccxIA6ZVXXik1/p133pGcnJxMli9RVVHRXGrJebSgoEDy8vKSmjZtKt25c6fYzx6e59q0aSM1aNBAunXrVtF9x44dk9RqtTRo0CDh1ypJkvTUU08Vy+1hX3/9tQRA+u6776S4uDhJo9FI48ePLzW2rDkqJSVFAiB99tln5eZBRPLcv3+/xH379u2TAEhr1qwpum/lypUSAKldu3ZSXl5e0f2ff/65BED67bffJEmSpI0bN0oAyj1mM+YxoL29vTRy5Ejh1/vo65HrP//5jwRAunnzZpkxFy9eVMTxsaHvDZHNcnGRpAqOZ6TBgyXpoeM36eefJQmQpIeO3yStVpK6ddPf/9DnXBo8WH/fI59zKTBQkh4+RrpwQR9Xyudc0mol6amnJKlhQ0lKT9fna2cnSWXNqfb2kmTI53zlSn0Ocp0/L0lqtSQ9/7w+14cVHmPeuKHPq0eP4jGLFumfc8UK/Z+PHtX/+f/+r+zny8+XJJVKkj74oPSfv/aaJFWvLknnzknS3Ln6x/v119JjH39cknr1EnqZRJY2d+5cCYB08eLFEj8r7dgtLCxM8vb2LnZf06ZNJQDS7t27i+67ceOG5ODgIH3w0Geq8JgoNDS02HfF999/X9JoNFJGRkbRfU2aNJFefPHFUnOOiIiQ1Gq1tHv37qLzWA9/9y1L06ZNpalTp1YYV6i896bwZ1euXCnxs/bt20udOnUqcX+PHj2kli1bCj+/XOXlK0mSdO/ePcnR0bHYcWOhESNGSAAkAJJarZZeeukl6fbt2+U+X0XnRcuTmpoq1a1bV+revbuUm5srBQYGSo899piUmZkp+nJtFleaVBG1a9fG/v37kZKSIjxmy5YtqFatGoYPH150n1qtxqhRo8oc8+jmlZ07dy7WJ/DWrVsAgDp16pQYq1arsWrVKmRnZ6NXr15YsmQJIiIiSlSLH+Xl5YWoqCh88sknqFatGlQqFUaOHInY2Fj4+fmhZs2amDBhAv788094eXkBAAICArBv3z4MGTJE1oqT3bt3Y/r06XjllVdK3T/EXL799ltMnToVL7zwAt5880389ttvGD58OH788cdiV3UWqlOnDh48eFDq1aNEJE7uXGrOefTo0aO4ePEixo8fj9q1axf7WeE8l5qaivj4eAwZMqRYO8DWrVuje/fuxZbfirzWW7dulTqfA8A777yDsLAwjBkzBm+++SZ8fHwwZ86cUmPLmqMKHzs9Pb3MHIhIPicnp6L/z8/Px61bt9CsWTPUrl27WAu+Qu+8806xqwtHjhwJOzu7ojmjcM7ZvHlzmatejXkMWKdOHaF54c6dO0hPTy+6FbY0ffi+9PT0Co+PCl/fb7/9Bp1OV+HzPsqcx8ei7w1RlVG7NrB/PyDjezC2bNGvqHjo+A1qtX4VRVke3dy9c2f96olC//uco7TjJrVa3/IrOxvo1Uu/YiIiQr+ReWnq1AFEPud37ujjCm+FbZ0fvi89HajoO+Kvv+pXdEyZos/1YYXfpbdt068iGT++eMzw4foWZ1FR+j8XbiK9dWvZz3v7tr79VhnHmFi0SP84L70EfPKJfgVMv36lx4q+V0QK9/CxW2ZmJtLT09G1a1ckJSUh8+HWdgD8/PzQuXPnoj+7urqiRYsWpe7h8c477xQ7J9a5c2dotVpcvny56L7yvvNNmzYNrVq1wuDBg/Hee++ha9euGDt2bLGY3NzcEsdeOp0O9+/fL3G/IQrbg5W2t6ijo2Ox9mGFLH28tGPHDuTm5qJXr14lfjZ+/HjExMRg9erV6NWrF7RaLfLy8sp9vIrOi5anUaNGWLx4MWJiYtC5c2fEx8djxYoVcHZ2rtRrtAUsmlQRn3/+ORISEuDh4YEOHTpg2rRpFW56dPnyZbi5uaF69erF7m/WrFmp8Y6OjkVLBwvVqVOnRM9rAGVuUOnj44Np06bh4MGDaNWqFT755JNycwSApk2bomXLliXud3d3xxNPPAEA6NmzZ4mfazQadO/evcLHL3TmzBk8//zz8Pf3x3//+98K47Ozs5GWllZ0e7QvpLF98MEHAPStdx5V+H6bavNToqpC7lxqznk0MTERAODv719uPgDQokWLEj9r2bIl0tPTi/YbEX2tZc3ngL7Ae//+fZw/fx6rVq0qdrBf2mM8Okdx7iIyjQcPHmDKlCnw8PCAg4MD6tevD1dXV2RkZJT44g0AzZs3L/bnmjVrws3NrailX9euXfHiiy9i+vTpqF+/Pvr164eVK1ciNze3xGMZ4xhQkiSheSEwMBCurq5FtzFjxgBAsftcXV3x+eefl/s4r776KkJCQvD222+jYcOGGDBgAH788UehAoq5j49F3xuiKuPzz4GEBH0rqQ4d9C2kKtr89/JlwM1Nv3fHw8o4foOjo36vjYfVqaMvWjyqrOMmHx99bgcP6vcEKe97sCSJbegeGKjPq/D2vzmw2H2urvr3qDyJifpCSHkn3gpPsD56jGlvD3h7//NzLy9gwgTgv/8F6tfXt+pavLj4fiYPv87S1K0LLFgAHD+uL54sWFB2XqLvFZHC7d27F6GhoUV7Urq6uhbtrfbosdtjjz1WYnxZxx6PxhYWRx6NLesYxd7eHitWrMDFixdx9+7doj0yHvb999+XOPZKTk7G3LlzS9xviMLvmKUdd+bk5JT6HVTkeCkzM7PYOT1j7rMZFRWFJ598Eg0bNizxM19fX4SGhmLQoEHYvHkzsrOz0bdv33K/d4ucFy3PgAED0Lt3bxw4cADDhw8XagdWFbBoUkW88sorSEpKwsKFC+Hu7o65c+eiVatW+OOPP4z2HCL9CuvVqweg5AT8sD//t5lcSkpK0ZV3ooYMGYJp06aVG1PWJqflSU5ORo8ePeDi4oLo6GihzZ2++OILuLm5Fd3at28v+3nl8PDwAIBSJ/I7d+6gevXqZZ6wJCIxpp5LjTWPGoPIa61Xr165efz1119FB68nTpwoM66sOarwsS29hxSRrRkzZgxmz56NV155BT/++CP+/PNPxMTEoF69egatpFCpVPjpp5+wb98+jB49GteuXcOwYcPQrl27otUdxjwGzMjIEJoX1q1bh5iYmKJb4QarD98XExNTYqP1Rzk5OWH37t3Ytm0b3nzzTRw/fhyvvvoqunfvXuEmp+Y+PhZ9b4iqjFde0RdJFi7U77Uxd66+KGHE78EQ6dv/v895qYWUQoWbqqek/LMypTQZGfqCQ0XWrdNvgl54+98cWOy+mJiSm9Cb2rx5+oLHpEnAgwfA2LH6v5OrV/U/r1tXX+go773aulX/3zt3/hlXmjt3xN4rIgVLTEzEs88+i/T0dHz55ZeIiopCTEwM3n//fQAocexW1rFHaSfdRWIr+s639X+fx5ycHJw/f77Ez8PCwkocezVs2BBvvvlmifsN4ebmBkDfVeFRqampcHd3L3H/nTt3KjxeGjduXLFzei+88IJB+ZUmOjpaeL+Ql156CQcPHsS5c+eE4kXOiz7q1q1bOHToEADg1KlTBn0fsEUsmlQhbm5ueO+99/Drr7/i4sWLqFevHmbPnl1mfNOmTZGamlqiZcGFCxcMzuGxxx6Dk5MTLl68WOrPly1bhpiYGMyePRt5eXkYMWKEwc9lLLdu3UKPHj2Qm5uLrVu3Fk3IFRk0aFCxyX/dunUmzbPwCvDSqvMXL14stepMRPLJmUvNOY/6+PgAABISEsocW7hh+9mzZ0v87MyZM6hfv36xTdoreq2+vr5lzuepqakYM2YMevTogT59+uDDDz8stsz7YWXNUYWPzfmLyLh++uknDB48GPPmzSvaKPSpp55CxsOb8D7k0S/A2dnZSE1NhaenZ7H7O3XqhNmzZ+PQoUNYt24dTp48iQ0bNgAw3jHgtWvXkJeXJzQvhISEIDQ0tOhW2J7g4ftCQ0Ph7e1d4WOp1Wo8++yz+PLLL3Hq1CnMnj0bO3bswM6dOyscWxFLvDdEVYqbG/Dee/o2Uxcv6gsY5XwPRtOm+o3fH20fVYnjNzz2mH5T8jI+51i2TF/AmD1b3+aqrO/B167pfy7yOQ8JAUJD/7kVrhR5+L7QUP1KkPL4+Ojbc506VXbM/44x8egxZl6e/jUX/rzQE08AkycDu3cDf/+tf13Llul/Zmenf86y3qstW/QrVf79b/1KmcGDgYKCknEFBUBysth7RaQAZa182LRpE3Jzc/H7779jxIgRCA8PR2hoqNkuii3vO9/x48cxY8YMDB06FIGBgXj77bdLrHxxc3Mrcezl6OgIb2/vEvcbok2bNgBQdNK/UEpKCq5evVr084eJnCP797//Xeyc3rx58wzK71EJCQm4cuUKevfuLRRf2F6stNXgxjJq1CjcvXsXkZGR2LNnD7766iuTPZc1YdGkCtBqtSU+XA0aNIC7u3upy9cKhYWFIT8/H8uXLy+6T6fTYfHixQbnUq1aNTz55JMlJjNAP2n961//wosvvohJkybhiy++wO+//441a9YY/HyVde/ePYSHh+PatWuIjo4u0Z6iPI/+AggJCTFKTllZWSX+3iRJwqxZswDo/94edeTIEQQHBxvl+YmqKkPmUnPOo23btoWXlxe++uqrEic+C68UcnNzQ5s2bbB69epiMQkJCfjzzz+LrnYRfa1BQUG4c+dOqW27hg8fDp1Oh2+//RbffPMN7Ozs8NZbb5V6hVNZc9Thw4ehUqkQFBRU/ptCRLJoNJoSn8WFCxeWuWrim2++KbZXydKlS1FQUFDUh/nOnTslHq/wC2rhnGGsY8DDhw8DgFmPa0pbxfvo66sMa35viBRNqy3Z9qlBA/2Kk/I+u2FhQH4+8NDxG3Q6fRspQ1Wrpt+jpJTPOS5e1K8CefFF/eqLL74Afv8dKO178P8+5zDn57x/f317rhkz9O/Dwwrn/tBQfSuuBQuKt9X69lv930HhycGsrJIFjiee0D/+w38nQUGlv1cZGcDbb+tbrc2Zoy+eHDmi//9HnToF5OSY970iqoTCi9ce/S5XuBrk4WOtzMxMrFy50ix5BQUFISEhocQxT35+PoYMGQJ3d3fMnz8fq1atwvXr14tWwJhLq1at4Ovri2+++abYsezSpUuhUqnw0ksvFYvPzMxEYmJihcdLfn5+xc7ptWvXzij5RkdHo2HDhiX2p7tx40aJ2Pz8fKxZswZOTk4V7k1iqJ9++gk//PADPv30U0ycOBEDBgzA5MmThVe22DI7SydApnf37l00adIEL730EgICAlCzZk1s27YNBw8eLLdS2r9/f3To0AEffPABLly4AF9fX/z+++9FXxwN7Zfcr18/fPzxx8jKyiraWEiSJAwbNgxOTk5YunQpAGDEiBH4+eefMW7cOISGhpa6pM7UBg4ciAMHDmDYsGE4ffo0Tp8+XfSzmjVron///kZ9vsLCx8mTJwEAa9euxZ49ewAAkydPBqA/ufjaa6/htddeQ7NmzfDgwQNs3LgRe/fuxTvvvIO2bdsWe8zDhw/j9u3b6FfW5nhEJMSQudSc86harcbSpUvRt29ftGnTBkOHDoWbmxvOnDmDkydPFi2bnjt3Lnr16oWgoCC89dZbePDgARYuXAgXF5eiZbyir7V3796ws7PDtm3b8M477xTdv3LlSkRFRWHVqlVo0qQJAP0J2TfeeANLly7Fe++9VxRb3hwVExODkJCQotY1RGQcffr0wdq1a+Hi4gI/Pz/s27cP27ZtK/OzlpeXh2effRavvPIKzp49iyVLluCpp57Cc889BwBYvXo1lixZgueffx4+Pj64e/culi9fDmdn52KtB4xxDBgTE4PHHnsMgYGBpnp7SpgxYwZ2796N3r17o2nTprhx4waWLFmCJk2a4KmnnjLKc1jre0OkaHfvAk2a6DcMDwgAatbUb1h+8KC+RVRZ+vfXn5T/4AP96hJfX30Ro7CAaugeGf36AR9/rC8cFG6wK0nAsGH6VSj/+5xjxAjg55+BceP0xYiHvwfHxOhXrZjzc96smT7vmTP1G9y/8ALg4KB/H93dgchI/YqPiAhg+nSgZ0/guef0q06WLAHatwfeeEP/WDt2AKNHAy+/DDz+uL6AsnatvsXZiy/+85z9+unvP3dOH1do3Dh967Jt2/RjevbUF1FmzdKPCQj4JzYmRr8vjYx9TIksqfCk/Mcff4wBAwagWrVq6Nu3L3r06AF7e3v07dsXI0aMQHZ2NpYvX44GDRqU2pLK2Pr164eZM2di165d6NGjR9H9s2bNQnx8PLZv345atWqhdevWmDJlCiZPnoyXXnpJuP1UWTIzM7Fw4UIA+j1dAGDRokWoXbs2ateujdGjRxfFzp07F8899xx69OiBAQMGICEhAYsWLcLbb79dYkXJtm3bIEmS0c+RieYbFRWFXr16lTgXMGLECGRlZaFLly5o3Lgx0tLSsG7dOpw5cwbz5s1DzZo1jZovoC/UjBw5Es8880xRfosWLcLOnTsxZMgQ7NmzB2p1FV5vIZHNy83Nlf71r39JAQEBUq1ataQaNWpIAQEB0pIlS4rFDR48WGratGmx+27evCm9/vrrUq1atSQXFxdpyJAh0t69eyUA0oYNG4qNrVGjRonnnjp1qvToP7Pr169LdnZ20tq1a4vumz9/vgRA+vnnn4vFXrlyRXJ2dpbCw8MNffmV0rRpUwlAqbdH3ytjKOu5Hn4Pk5KSpJdfflny9PSUHB0dperVq0vt2rWTli1bJul0uhKP+dFHH0mPPfZYqT8jInEic6kl59FCe/bskbp3716UY+vWraWFCxcWi9m2bZsUEhIiOTk5Sc7OzlLfvn2lU6dOyXqthZ577jnp2WefLfpzcnKy5OLiIvXt27dE7PPPPy/VqFFDSkpKKrqvrDkqIyNDsre3l/773/+WeBwiqpw7d+5IQ4cOlerXry/VrFlTCgsLk86cOSM1bdpUGjx4cFHcypUrJQDSrl27pHfeeUeqU6eOVLNmTWngwIHSrVu3iuKOHDkivfbaa9Jjjz0mOTg4SA0aNJD69OkjHTp0qNjzVvYYUKvVSm5ubtLkyZMNet2Fr0eu7du3S/369ZPc3d0le3t7yd3dXXrttdekc+fOFcVcvHhRAiCtXLmy6D5zHh9X9r0hskm5uZL0r39JUkCAJNWqJUk1auj//9HjmcGDJenR73Y3b0rS66/rx7m4SNKQIZK0d68kAZL00PGbNHiw/nEfNXWqPvZh169Lkp2dJD18/DZ/vj7ukc+5dOWKJDk7S9LD34O1Wklyc5MkQz/nK1eWzEmOFSskKTBQkhwcJKlOHUnq2lWSYmKKxyxaJEm+vpJUrZokNWwoSSNHStKdO//8PClJkoYNkyQfH0lydJSkunUl6ZlnJGnbtuKPk5srSfXrS9LMmf/c99tv+vznzSsem5Wl//sLCJCkvLx/7u/YUZLeeMPw10tkATNnzpQaN24sqdVqCYB08eJFSZIk6ffff5dat24tOTo6Sp6entJnn30mrVixoliMJOnPYfXu3bvE43bt2lXq2rVr0Z8Lj4kOHjxYLG7nzp0SAGnnzp3F7m/durX01ltvFf358OHDkp2dnTRmzJhicQUFBVL79u0ld3d36c7Dn/1HNG3aVJo6dWq570XhsZXo+biNGzdKbdq0kRwcHKQmTZpIkydPlvIenhP+59VXX5Weeuqpcp/bECL5ZmRkSHZ2dtKPP/5YYvz3338vhYaGSg0bNpTs7OykOnXqSKGhodJvv/1m9FwLvfDCC1KtWrWkS5cuFbv/t99+kwBIn332mcme2xqoJKmUPhlE5fj111/x/PPPY8+ePQa3nHrrrbdw7tw5/P3330bOjh6Wm5sLT09PTJw4EePGjbN0OkT0P7Y0j/799994+umncebMGVktDIHy56ivvvoKn3/+ORITE83Wr5eITK8yc9evv/6K119/HYmJicJ7zFkTvjdECvfrr8DzzwN79uj3CzHEW2/pV08Ycvz266/A668DiYn6fVps3cyZwMqVwPnz+lUlcsTHA23b6lt3lbKfARHJs3btWowaNQpXrlxB7dq1LZ2OwdLS0uDl5YUNGzZYpBvLjz/+iIEDByI9PR0uLi5mf36Sh0UTKteDBw+KnazSarXo0aMHDh06hLS0NINPZF25cgWPP/44tm/fbrS9PqikZcuWYc6cOTh//jwcHBwsnQ5RlVQV5tFevXqhSZMmxfZuEVHWHJWfnw8fHx9MnDixWCsvIrJ+lZm7goKC0LlzZ3z++ecmys6y+N4QKciDB/qWWYW0WqBHD/0+G2lpxX8mx5Ur+nZT27fLL7wEBenbY1WVz3l2tn6T+v/8Bxg4UN7YAQP0+6/8+KNpciOqYnQ6HVq3bo3XXnsNH3/8saXTMdjEiROxY8cOHDhwwCLP/+effyIxMREjR460yPOTPCyaULnefvttPHjwAEFBQcjNzcUvv/yC2NhYzJkzBxEREZZOj4hI8TiPEhEREVmZt9/WF06CgvQblP/yCxAbq99wnMdvRERENo9FEyrX+vXrMW/ePFy4cAE5OTlo1qwZRo4cWWzDJSIiKhvnUSIiIiIrs369frP4CxeAnBz9ZugjR+o3MSciIiKbx6IJERERERERERERERERALWlEyAiIiIiIiIiIiIiIlICFk2IiIiIiIiIiIjI4j799FOoVCqMHz/e0qkQURVmZ+kEjE2n0yElJQW1atWCSqWydDpEpGCSJOHu3btwd3eHWm0bNWTOgUQkwhbnP4BzIBGJscU5kPMfEYlS8hx48OBBfP3112jdurWscZwDiUiEnPnP5oomKSkp8PDwsHQaRGRFkpOT0aRJE0unYRScA4lIDlua/wDOgUQkjy3NgZz/iEgupc2B2dnZGDhwIJYvX45Zs2bJGss5kIjkEJn/bK5oUqtWLQD6F+/s7GzhbIhIybKysuDh4VE0b9gCzoFEJMIW5z+AcyARibHFOZDzHxGJUuocOGrUKPTu3RuhoaGyiyacA4lIhJz5z+aKJoXL8JydnTlREpEQW1q+yzmQiOSwpfkP4BxIRPLY0hzI+Y+I5FLSHLhhwwYcOXIEBw8eFIrPzc1Fbm5u0Z/v3r0LgHMgEYkRmf+U1byQiIiIiIiIiIiIqoTk5GSMGzcO69atg6Ojo9CYyMhIuLi4FN3YmouIjI1FEyIiIiIiIiIiIjK7w4cP48aNG2jbti3s7OxgZ2eHXbt2YcGCBbCzs4NWqy0xJiIiApmZmUW35ORkC2RORLbM5tpzERERERERERERkfI9++yzOHHiRLH7hg4dCl9fX3z00UfQaDQlxjg4OMDBwcFcKRJRFWTSosnu3bsxd+5cHD58GKmpqdi4cSP69+9f7pi//voLEyZMwMmTJ+Hh4YHJkydjyJAhJslPq5Ow+/QNfLb1FC7cuI8CkzyL7aimVqGBswMGdmyKtzt7w96OC5VMLa9Ah693n8e3uxORkSNZOh1FUwFwqqZBR++6WPhaW9R0tHxNWOlzoLkoea5VA3Cy16CDl3L+3QDAgzwtpvx+HH8cS0F2vqWz+YcKgIOdGt6uNfBhD190beEKjdryvZAL368tx1NxN09ZcyV/dyqXVifhwMXbuHE3Bw1qOaKDV11F/HsmoqopMjISv/zyC86cOQMnJycEBwfjs88+Q4sWLSydGlmpvAIdlv99AeviLiPzQQHqVLfH6zweKVV2TgHGrDuIvedvIw/67wg1HDTo9YQbpj/nDyf7kiftyXhq1aoFf3//YvfVqFED9erVK3G/uRV+jtbGXsT1uwV49JsGj/WJbJdJzw7du3cPAQEBGDZsGF544YUK4y9evIjevXvj3Xffxbp167B9+3a8/fbbcHNzQ1hYmFFz25KQitHrj6JAp6yTK0qWr5NwLSMHn289i8+3nsWILl6ICPezdFo2KzL6FL7efdHSaVgNCcD9fC12nr0J/2lb0bqJM34f3dmiOSl5DjQXpc+1OgD38pT172b4moOIOXXDojmURQKQU6DDqdS7GLb6IKppVFj4WiB6+rtZLCclv18Af3cq1ZaEVEz9LQHX7+YV3dewlj2m9/O36L9nIqq6du3ahVGjRqF9+/YoKCjApEmT0KNHD5w6dQo1atSwdHpkZUr7Lnkv75/jkaEhj2Fq3ycslJ1yaHUSnp33Fy7dul/sfh2Au7la/HjoKn48dBXPPF4XK4cFWSZJsgitTsKo7w5jy6nr5cY9eqwf1soVSwa254U4RDZAJUmSWc5kqVSqCq+y/uijjxAVFYWEhISi+wYMGICMjAxs2bJF6HmysrLg4uKCzMxMODs7lxqzJSEV7353RFb+VDqe/DENFkyMo6IT4CLzhbEoaQ40F2uday1ZOFF6AaAsy95oa5ETzdb6finhd6eS5gpjMsZxoKX+PROR+VjDHHjz5k00aNAAu3btQpcuXSqMt4bXROYh+l3So44D/v4o1AwZKZPc7yo1qqlwcma4CTMyH1ucL4z5mqKPp+K99ZX7Hjuqizcm9PRl8YRIYeTMFYpaN7Zv3z6Ehhb/pR0WFoZ9+/YZ7Tm0OgmfbDxutMer6pb/fRF5BTpLp2FT9C25WDAxhuNXs5Cdo6RmUOUzxxxoLtY811rq382DPK1VFgAAYNrvp6A182oia36/+LvTcrQ6CRN+PFZuzNgN8Wb/90xE9KjMzEwAQN26dS2cCVkTOd8lk+/kovNn202ckTIZcnHXvXwJflP+MFFGpBSzo05VumACAIt3J8FnUjR+P3LVCFkRkSUoqmiSlpaGhg0bFruvYcOGyMrKwoMHD0odk5ubi6ysrGK38hy4eBs371nPSVSl00nA2n2XLJ2GTeH7aVzv/3DU0ikIM8ccaC7WPtda4t/NnOhTZn9OY0nLysGBi7fN+pzW/H7xd6flxJ5Px/08bbkxeQU6zI85Z6aMiIhK0ul0GD9+PEJCQsrs56/UY0CyLLnHF8l3cjBs1QHTJKNQWp1k8Gr4+3k6dP5sh5EzIqWYHXUSy/827gWsY388hvCvdhr1MYnIPBRVNDFEZGQkXFxcim4eHh7lxt+4m2OmzKqOy7fvVxxEwvh+GteVO6UXG2yF3DnQXKx9rrXEv5tHeylbG3P/nVv7+8W53jJ+Pip2td+SXRe42oSILGbUqFFISEjAhg0byoxR6jEgWZYhxxc7ztzEpmMpJshGmTrO/rNS45PvPMCMTSeNlA0pRfTxFCz/+5JJHvtU2n00j4jiSnMiK6OookmjRo1w/XrxTZauX78OZ2dnODk5lTomIiICmZmZRbfk5ORyn6NBLUej5Ut6TetWt3QKNoXvp3E9Vqf0uUOJzDEHmou1z7WW+HfjWc+6P/vm/ju39veLc71lVLTKpFCBTr8qhYjI3EaPHo3Nmzdj586daNKkSZlxSj0GJMsy9Phi3IajVeJigembTiDdCKvhV+y9xBPgNkSrk/DeetN2GsiXgMcn/4Hpm06Y9HmIyHgUVTQJCgrC9u3Fe2rGxMQgKCiozDEODg5wdnYuditPB6+6cK1hZ5R8CVCrgDeDPC2dhk3h+2lc/3k10NIpCDPHHGgu1j7XWuLfzSQLbwxeGY2cHdHBy7w91635/eLvTstp7yn+73TBDrboIiLzkSQJo0ePxsaNG7Fjxw54eXmVG6/UY0CyLEOPL3QSMMYI+zgoWV6BDiv3XjHa4735bZzRHossq7Krj+RYufcKnvo0xmzPR0SGM2nRJDs7G/Hx8YiPjwcAXLx4EfHx8bhyRf+LKiIiAoMGDSqKf/fdd5GUlIR///vfOHPmDJYsWYIff/wR77//vtFy0qhVmPl8a6M9XlU3vLMX7O0UVXuzevZ2aozoUv6XJBLTuokzajpa7sS9EudAc7HmudZS/26c7DXo7tfA7M9rDNOe84NGrTLrc1rz+8XfnZYzONhTOPZIckaVuOqWiJRh1KhR+O6777B+/XrUqlULaWlpSEtLK3NfO6LSVOa7ZHRCmk2vnnjzv8Ytcuy/eMem36+qYtjKOKOsPpLjakYe2kz7w6zPSUTymfQb+6FDhxAYGIjAQP0VuxMmTEBgYCCmTJkCAEhNTS06eQgAXl5eiIqKQkxMDAICAjBv3jz897//RVhYmFHz6unvhmVvtIWdmU/w2JoRXbwQYcVX+ipZRLgfCyeV1LqJM34f3dmiOSh1DjQXa5xrLf3vZvmg9lZVCKimUWHZG23R09/NIs9vbe8XwN+dlmZvp0Yz1xpCsVodEJd4y8QZERHpLV26FJmZmXj66afh5uZWdPvhhx8snRpZmcp8l1y5N8nI2ShDXoEO+y/dMfrjcrWJddscfw07zlrmWC8jR4fmk6J4gQ6RgqkkSbKpT2hWVhZcXFyQmZlZ4RJlrU7C7tM38NnWU7hw4z7MW1u2PtXUKjRwdsDAjk3xdmdvXiVrBnkFOny9+zy+3Z2IjByb+qganQqAUzUNOnrXxcLX2gqtFJAzX1gLJb4mJc+1auhXLHTwEv93Yw4P8rSY8vtx/HEsBdn5ls7mHyoADnZqeLvWwIc9fNG1havZV5iUpvD92nI8FXfzlDVXKvV3pxLnCmMQeV1/n7uJN1ccEHq8Hn4N8M2g9sZMkYgUwBbnQFt8TVQ5eQU6hP1nJy7eyhEe07CWPfZ/3N2EWVnGhA1H8Uu8aTa7Pzerl2KO70TZ4nwh9zVpdRKaTYqGEr45LHk9EOGt3S2dBlGVIGeuqNJFEyKq2mxxvrDF10RExmeJuWL37t2YO3cuDh8+jNTUVGzcuBH9+/cv+rkkSZg6dSqWL1+OjIwMhISEYOnSpWjevLnwc4i8Lq1OQvNJ0RBpqGGnVuHsrF6KKA4SkfHY4vGSLb4mMo7+i/5G/NUs4XhrLAKUR6uT4DMp2mSP39GrDn4YEWyyxzcFW5wv5L6m9747hOiE67KeQ6MCTs/85/PxIE+LbvN2IjUz16CcH/bWU03xSR//Sj8OEZVPzlxhO78JiYiIiEix7t27h4CAACxevLjUn3/++edYsGABli1bhv3796NGjRoICwtDTo74FbIiNGoV/JuInSAo0Els0UVERFbt5/eekhU/8edjJsrEMubHnJUVv/C1QDR3rS4cz71NrE9egU52waS6HZAY2btYQdHJXoN9EaE4PaMnalevXMeCb/dcxrCV+yv1GERkXCyaEBEREZHJ9erVC7NmzcLzzz9f4meSJOGrr77C5MmT0a9fP7Ru3Rpr1qxBSkoKfv31V6Pn0rd1Y+HY1fsuGv35iYiIzEWjVmHsMz7C8RuPptjMPgtanYSluxKF45s3qIG+Ae6IGtdV1vNE/HJcbmpkQb3n75I95sSM8DJ/5mSvQfyUMMwf0KYSWQE7zqaj91d/VeoxiMh4WDQhIiIiIou6ePEi0tLSEBoaWnSfi4sLOnbsiH379hn9+QYHewrH7jhz02ZOHhERUdU0rnsL4VgJwPyYc6ZLxozikm4hX8YikKixXQAA9nZqdPSsIzzut3jbKTTZus3x13D+5n1ZYxa+FijUqrVfm8ZInBOOmvaGn2o9mXYPwXP+NHg8ERkPiyZEREREZFFpaWkAgIYNGxa7v2HDhkU/K01ubi6ysrKK3UTY26nRtK6TUCxbdBERkbXTqFV4oY34RtPLdifaRBFg7/l04Vgf1+rFWi+tfbuT8FgeK1gHrU7C2A3xssa09aiNvgHinx2NWoWEGb3Qyq2WzOz+kZKVD79PTLcPDxGJYdGEiIiIiKxSZGQkXFxcim4eHh7CY9/o5CkcuzfxpgHZERERKcenLwUIx+ZpbaMIsONM2RdePGraI5tw29up0UZwDzSA7TytwfyYs5Cz+4wKwP+NDDbouaLGdcGzvg0MGgsA9/MltGThhMiiWDQhIiIiIotq1KgRAOD69eKbcl6/fr3oZ6WJiIhAZmZm0S05OVn4OeW06Dpw8bZwLBERkRLZ26nRzLWGcPyauEumS8YMtDoJZ6/fE4pVq4Dg5vVL3P+vni2Fn2/b6Rs2sTrHVsnd3wYAFgi25SrLt0PaY+FrgQaPf5AvIWDqHwaPJ6LKYdGEiIiIiCzKy8sLjRo1wvbt24vuy8rKwv79+xEUFFTmOAcHBzg7Oxe7ibK3U8PdxUEoNj45kydCiIjI6k3t20o4ducZ6y4CxF5Ih2j27R6rXerJ8U7e9WAneM5cJwGxMtqBkXnJ3d+meYMastpylaVvgDsS54TD0G1OMnN18J0cVek8iEg+Fk2IiIiIyOSys7MRHx+P+Ph4APrN3+Pj43HlyhWoVCqMHz8es2bNwu+//44TJ05g0KBBcHd3R//+/U2WU6vGLkJx7FVORES2ILhZfeGTQNbeomvhDvHN7Md2e7zU+zVqFfoFip84/+mI+IpXMq99Mv8tR43tYrTn1qhVODenN+o42Rk0PqcA8J4YZdVFTCJrxKIJEREREZncoUOHEBgYiMBAfZuCCRMmIDAwEFOmTAEA/Pvf/8aYMWPwzjvvoH379sjOzsaWLVvg6Ohospw6eNYTjrX2NiVEREQatQo9WjUUjrfW331anYRDlzKEYstqzVUo8gXxvWBOXMsUjiVzEy84hPs3gr2d8U+XHp0ahsa1xVY5P0oHwGdSNKKPpxg3KSIqE4smRERERGRyTz/9NCRJKnFbtWoVAEClUmHGjBlIS0tDTk4Otm3bhscfL/3KT2ORs6+JtbcpIbJVWp2EfYm38Fv8NexLvMXPKVEF3gzyFI611t99sRfShTf8Lqs1VyF9O0+xCzgu3bpvle9XVRDkXXZh7GEaFbDw9bYmy2PvxFC0cq9l8Pj31h/FzM0JRsyIiMpi2NowIiIiIiIrZ2+nho9rdSTevF9hbGGbkpByrkYlosrJzinAmHUHEXvhNnINPO/YyNkR057zQ09/N+MmR2QjOnnXQzU1hPZ3sNbffcZozfWw/m0aY4nAJuKF+5p0buEq/PxkHp186qF29WrIuJ9fbtzC19pWavN3EVFju2DYygPYcfamQeO/3XMZF2/ew4qhHY2cGRE9jCtNiIiIiKjKknNi1VrblBApWXZOAYZ+uw+eE6PgP20rdp43vGACAGlZOXj3uyPYkpBqvCSJbIhGrcKzLcVbdO1NNOzErqVodRIOXc4Qiq2oNVchOUWjBTIKNmQ+GrUKn77wRLkxI7p4Iby1eQruK4Z2wNAQT4PH7zibjr4LdhsvISIqgUUTIiIiIqqygn3ET4RYa5sSIiV6kKdFmxlbiwolxhbxywl+XonKIKdF18GLxv98mlJc0i2IfvQras1VqJN3PYguPjiSnMG5R6F6+rth2Rtt0ci5+L4idapXw5LXAxER7mfWfKb2bYW3nvI0ePyJlLsYumK/8RIiomLYnouIiIiIqqyq0KaESEm0OgkvLtmL+Kum3TD5zv18xCXdQkgzfl6JHiXnd9+xq5nQ6iSTtywylrX7LgnHirTmAvSrFJ5sWhsHBDaX1+rAYwUF6+nvhu5+jXDg4m3cuJuDBrUc0cGrrsX+fX/SpxXUKhWW/33RoPE7z6Vj6Ir9WDmMrbqIjI0rTYiIiIioyrL1NiVEShJ9PBU+k6JNXjAptC/xllmeh8jayPndV3jBgDXQ6iRsP31dKNZOLdaaq9AYwQILwGMFpdOoVQjyqYd+bRojyKeexQuCH/f2w5JKbD6/81w6+szfZcSMiAhg0YSIiIiIqjg5bUq2nkwzXSJENmzm5lN4b/0RMz8rW+QQlUXO777V+wy7Ct7c4pJuCa2eAYBAD7HWXIWCm9UXPoHGYwX5li5ditatW8PZ2RnOzs4ICgrCH3/8Yem0zCa8tRsS54RDY+D4hNRshH/1lzFTIqryWDQhIiIioiqtsE2JiMSb95FXIHhGhogAAG+tOoBv95j/pGuQN9vjEJWlk3c9aARrBjvO3LSKfTpiE9OFY9t71ZX12Bq1Cu086wjF8lhBviZNmuDTTz/F4cOHcejQIXTr1g39+vXDyZMnLZ2a2WjUKiR+2htOdoatfDmVdg8hkTFGzoqo6mLRhIiIiIiqNLktulbHWscVt0RK8NaqA9h+xvytamo7VUMnn3pmf14ia6FRq9CqsbNQbIHOOlp0HZCxaX2Ij6vsx+8go9DCYwV5+vbti/DwcDRv3hyPP/44Zs+ejZo1ayIuLs7SqZnd6VnhqONk2BbU1zLz0GZa1VmhQ2RKLJoQERERUZUnp03JpmMppkuEyIbM3JxgkYIJAHz64hMW71NPpHR9WzcWjlX6Ph1anYSjl+8IxdprVAYVVYN9xFev8VjBcFqtFhs2bMC9e/cQFBRUakxubi6ysrKK3WzJ0alhcHexN2hsRo4OvpOjjJwRUdXDogkRERERVXmdvOtBI3hknJCSZRVtSogsKfp4Cr7dc9nsz2unBpa90RY9/d3M/txE1mZwsKdw7EEZqzgsIS7pFgoEfzU/49vAoKKqnGOFU6l3eawg04kTJ1CzZk04ODjg3XffxcaNG+Hn51dqbGRkJFxcXIpuHh4eZs7W9GIjuhtcOMkpAJpFsHBCVBksmhARERFRladRqxDq20AoVicBsefF+6YTVTVanYT31h81y3OpADjaqeHnVgsrBrfH2VnhLJgQCbK3U8PHtbpQ7LGrmYouAsjZz2RQJ0+DnkPOsYK1tDRTkhYtWiA+Ph779+/HyJEjMXjwYJw6darU2IiICGRmZhbdkpOTzZytecRGdEfd6oa16iqQgGYTWTghMpRhnzwiIiIiIhszKNgLW0/dEIpdsOMcOreQ3w+dqCoYtf5Qpcb7u9XChhHBqOnIr6tEptbT3w2LdyZWGJen1RcBQpqLt6gyJ9H9TAxtzVVIzrHC3sSbin2/lMje3h7NmjUDALRr1w4HDx7E/Pnz8fXXX5eIdXBwgIODg7lTtIgjU8IQ8uk2XMvIlT22APrCyYVPexs/MSIbx5UmRERERETQt90Q7dZxJDlD0VfcEllKXoEOWxLETig+alQXbyTOCcfmcV1YMCEyEzn7dCh1XxM5+5kENHGp1H5HnbzrwU5wuNJbmimdTqdDbq78QoEt2jsxFH5uNQ0aW1g4ISJ5WDQhIiIiIoK+7caTTWsLxWp1YNsNolJ0/nyb7DE1qqmQOCcc/wpvyc3biczMFooAcvYzae9Vt1LPpVGrENi0jlCs0luaKUlERAR2796NS5cu4cSJE4iIiMBff/2FgQMHWjo1xYge1xX+7rUMGlsAwHtiFP89EsnAogkRERER0f+M6fa4cOzqfRdNmAmR9fn9yFVcz8qXNcbdxR4nZ4azWEJkIbZQBJCzn0mIT+Vba3YQLLwUtjSjit24cQODBg1CixYt8Oyzz+LgwYPYunUrunfvbunUFGXz2C7oZmB7WB0An0nRiD6eYtykiGwUiyZERERERP8T3Ky+8AHyjjM3FXnyiMgStDoJY388JmtMPScNYiN4QozI0qy9CGCu/UwK2UJLM6X59ttvcenSJeTm5uLGjRvYtm0bCyZlWDG0A956ysvg8e+tP4rZUSeNmBGRbWLRhIiIiIjofzRqFfybOAvFFuiUefKIyBIM2fz9wCdhJsiEiOSy5iKAOfczKWQLLc3Iun3Sxw9LXm9r8Pjlf1/C9E0JRsyIyPawaEJERERE9JC+rRsLx7JFF5Fhm78vfC2QLbmIFEJOEeDanQemTUYmc+5nUsgWWpqR9Qtv7YZzs3oZPH7l3ssYtnK/ETMisi0smhARERERPWRwsKdwLFt0EQFv/jdOVnyghwv6BribKBsikkujVqHNY7WFYlMylFU0Mfd+JoWsvaUZ2QZ7OzWWvWH4ipMdZ9PRZ/4uI2ZEZDtYNCEiIiIieoi9nRpN6zoJxbJFF1V1eQU67L8k1hqn0E8jQ0yUDREZqkmd6kJxSls5Ye79TApZc0szsi09/d0qVThJSM1GbxZOiEpg0YSIiIiI6BFvdPIUjl0Td8lkeRApndxVJvMHtGFbLiIFalxH7GIBJa2csMR+JoW4rwkpSU9/NyTOCTf4JO9JFk6ISmDRhIiIiIjoEXJadO08c0NRV90SmYvcVSZuzg7o10Z8zyAiMh9rXDlhif1MCnFfE1IajVqFpE97o5qBtcGTqdkI/+ovo+ZEZM1YNCEiIiIieoS9nRo+rmKtSpR01S2ROcldZbLr391MlAkRVZY1rpyw1H4mhbivCSnR+cjecBL9MD/iVNo9hETGGDkjIuvEogkRERERUSl6+rsJxyrlqlsic5G7yqSjVx3Y2/HrJ5FSWePKCUvtZ1LIGlfnUNVwelY4ajtqDBp7LTMPgdO3GDkjIuvDo1YiIiIiolLIORkieuKGyFZM/OmYrPi1b3UyUSZEZCzWtHLCkvuZFLLG1TlUdcRP64k61e0MGnvngRYB0/4wckZE1oVFEyIiIiKiUnTyrgeN4MmQI1cyFHHVLZE5aHUSfolPEY7nKhMi62BNKycsuZ9JIWtcnUNVy9EpYXB3sTdobGaODr6To4ycEZH14JErEREREVEpNGoVWjV2ForVSUDsefHe6kTWbH7MWVnxXGVCZB2saeWEpfczKWRNq3OoaoqN6I7GtR0MGptTADSLYOGEqiYWTYiIiIiIytC3dWPh2AU7zpkwEyJl0OokLN2VKBzPVSZE1sOaVk5cu/NAKM5U+5kUsqbVOVR17Z0YiiYGFk4KJKDZRBZOqOrh0SsRERERURkGB3sKxx5miy6qAuKSbiFfJx7PVSZE1sVaVk5cvXNfKM5U+5kUsqbVOVS17ZkYCj+3mgaNLQALJ1T1sGhCRERERBan1WrxySefwMvLC05OTvDx8cHMmTMhSZYtQtjbqdHMtYZQLFt0UVWwJvaicKyPa3WuMiGyMtawckKrkxB/JUMo1r22k0lzsabVOUTR47rC372WQWNZOKGqhkewRERERGRxn332GZYuXYpFixbh9OnT+Oyzz/D5559j4cKFlk4NU/u2Eo6dtjnBhJkQWZZWJ2Hb6RvC8dP6+JswGyIyBWtYOSFnE/jGdUxbNAGsZ3UOEQBsHtsF3VoYts9PAQDviVEs/lGVYJaiyeLFi+Hp6QlHR0d07NgRBw4cKDN21apVUKlUxW6Ojo7mSJOIyOg4/xERiYmNjUW/fv3Qu3dveHp64qWXXkKPHj3KnTfNJbhZfeGD5sSb95FXIKN3EZEViUu6Ba3geRK1CghuLn7FelW3e/du9O3bF+7u7lCpVPj1118tnRJVUdawckIpm8AXsobVOUQPWzG0A4aGeBo0VgfAZ1I0oo+nGDUnIqUxedHkhx9+wIQJEzB16lQcOXIEAQEBCAsLw40bZV+h5OzsjNTU1KLb5cuXTZ0mEZHRcf4jIhIXHByM7du349w5/Wbqx44dw549e9CrV68yx+Tm5iIrK6vYzRQ0ahWe9KwtHB/xy3GT5EFkaXJac7V7rLZJ9xGwNffu3UNAQAAWL15s6VSIFL9y4oDgChdTbwJfSM7qHNEN7IlMbWrfVhje2cvg8e+tP4rZUSeNmBGRspi8aPLll19i+PDhGDp0KPz8/LBs2TJUr14dK1asKHOMSqVCo0aNim4NGzY0dZpEREbH+Y+ISNzEiRMxYMAA+Pr6olq1aggMDMT48eMxcODAMsdERkbCxcWl6Obh4WGy/MZ0e1w49rf4FLYtIJuj1UmIOSXemmusjM8MAb169cKsWbPw/PPPWzoVIkWvnNDqJBy9fEco1tSbwBfSqFVo81htkz8PkbF93NsPS15va/D45X9fwvRNbE1LtsmkRZO8vDwcPnwYoaGh/zyhWo3Q0FDs27evzHHZ2dlo2rQpPDw80K9fP5w8WXbl0lxXGBIRyWGO+Q/gHEhEtuPHH3/EunXrsH79ehw5cgSrV6/GF198gdWrV5c5JiIiApmZmUW35ORkk+Unp0VXgY49y8n2xF5Ih2jjObbmMj0eA5IpKXlfEzn7mbQXXDFjDE3qVBeKS83MMXEmRPKEt3bDuVllr+yuyMq9lzFs5X4jZkSkDCYtmqSnp0Or1Za4Urphw4ZIS0srdUyLFi2wYsUK/Pbbb/juu++g0+kQHByMq1evlhpvzisMiYhEmWP+AzgHEpHt+Ne//lW02uSJJ57Am2++iffffx+RkZFljnFwcICzs3Oxm6lo1Cp092sgHL96n3gbIyJrMH2TeAuO5wMbszWXifEYkExJyfuaKG0/k0KiG84ft9A+METlsbdTY9kbhq842XE2HX3m7zJiRkSWZ5aN4OUICgrCoEGD0KZNG3Tt2hW//PILXF1d8fXXX5cab84rDImITEnu/AdwDiQi23H//n2o1cUPTTUaDXQ65WyqPihYvO/zttM3eFKEbEZegQ4Xbt4Tjo98obUJsyGAx4Bkekrd10Rp+5kUEm1pllOg42pUUqSe/m6VKpwkpGajNwsnZENMWjSpX78+NBoNrl+/Xuz+69evo1GjRkKPUdjT+sKFC6X+3JxXGBIRiTLH/AdwDiQi29G3b1/Mnj0bUVFRuHTpEjZu3Igvv/xSUf395bQr0UlA7Hnxq2GJlCzil2PCsT6u1WFvp7hr82wOjwHJ1OTsa7IvyTy/75S4n0mhTt71YK8Rez5z7wNDJKqnvxsS54QbfLL4JAsnZENMejRrb2+Pdu3aYfv27UX36XQ6bN++HUFBQUKPodVqceLECbi5uZkqTSIio+P8R0Qkz8KFC/HSSy/hvffeQ8uWLfHhhx9ixIgRmDlzpqVTK6JRq9Av0F04ftpmboxJ1k+rk/Db0RTh+Gl9/E2YDRGZi74IIBZrroWVSt3PBNAfIwQ0cRGKNfc+MERyaNQqJH3aG9UMrDmeTM1G+Fd/GTUnIksw+SVAEyZMwPLly7F69WqcPn0aI0eOxL179zB06FAAwKBBgxAREVEUP2PGDPz5559ISkrCkSNH8MYbb+Dy5ct4++23TZ0qEZFRcf4jIhJXq1YtfPXVV7h8+TIePHiAxMREzJo1C/b29pZOrZjIFwKEYxNv3kdegXLaixEZQs5JSm4Ab7js7GzEx8cjPj4eAHDx4kXEx8fjypUrlk2MqiyNWoU+rcUu3koz0+bmSt3PpFBjwc3gzb0PjDWIjIxE+/btUatWLTRo0AD9+/fH2bNnLZ1WlXY+sjecRJdYP+JU2j2ERMYYOSMi8zJ50eTVV1/FF198gSlTpqBNmzaIj4/Hli1bijZHvnLlClJTU4vi79y5g+HDh6Nly5YIDw9HVlYWYmNj4efnZ+pUiYiMivMfEZHtsbdTo5lrDeH4iF+OmzAbItNbu++ScGxoywbcAN5Ahw4dQmBgIAIDAwHoL74JDAzElClTLJwZVWVutcWKANEnUs1SBLh254FQnLn3Mykkuhm8ufeBsQa7du3CqFGjEBcXh5iYGOTn56NHjx64d098Py0yvtOzwlHbUXDJ2SOuZeYhcPoWI2dEZD4qSZJsqrydlZUFFxcXZGZmsq8rEZXLFucLW3xNRGR8tjpXmOt1/X3uJt5ccUAoVgXgwpxwnkgmq6TVSfCdHI18wQVT697qiBArWGlii3OgLb4msrwvtp7Fop1l76/4MHN8/l9euhcHL2dUGNe+aW3838gQk+ZSmr0X0jHwv/uFYt972hv/7tnSxBmVzhrmi5s3b6JBgwbYtWsXunTpUmG8NbwmaxY4Yyvu3C8waKyLoxrHpvUyckZEhpEzV3CHPiIiIiIiGYKb1Rc+iJYAzI85Z8p0iEwmLumWcMHEUld2E5HpBMn4TJt6c3OtTsKxq5lCsebez6RQJ+96EO1mxH1NypeZqf+7rlvXMn+XVNzRKWFwdzGsZW5mjg6+k6OMnBGR6bFoQkREREQkg0atQne/BsLxy3Ynsnc5WaU1sReFY5/xZWsuIlujpCJAXNIt5GnFfpdaYj8TQH98ENi0jlAs9zUpm06nw/jx4xESEgJ/f/9SY3Jzc5GVlVXsRqYVG9EdjWs7GDQ2pwBoFsHCCVkXFk2IiIiIiGQaFOwlHMve5WSNtDoJ287cEI4f1MnTdMkQkUUoqQggugm8o53aoqveOgiucuGxQdlGjRqFhIQEbNiwocyYyMhIuLi4FN08PDzMmGHVtXdiKJoYWDgpkIBmE1k4IevBogkRERERkUydvOuhmowj6c+3njZdMkQmEJd0C1rB1lx2arbmIrJVSikCHBBcydK6iYtFV70F+4jv62LqlmbWaPTo0di8eTN27tyJJk2alBkXERGBzMzMoltycrIZs6za9kwMhZ9bTYPGFoCFE7IeLJoQEREREcmkUaswsquPcPyxq1nIKxA8A02kAHJac/Vr487WXEQ2SglFAK1OwtHLd4Ri3VwcTZKDKCW1NLMmkiRh9OjR2LhxI3bs2AEvr/JX9Do4OMDZ2bnYjcwnelxX+LvXMmgsCydkLVg0ISIiIiIywLjuLSDnNPHEn4+ZLBciY5LbmivyhdYmzIaILEkJRYC4pFsoEOz81biOk0lyEKWklmbWZNSoUfjuu++wfv161KpVC2lpaUhLS8ODBw8snRqVYfPYLujWwrD9gwoAeE+M4r9/UjQWTYiIiIiIDKBRq/BCW3fh+I1HU/jlkKyCnNZcTes6wd6OXyuJbJUSigCi+5kAltsE/mFKaWlmTZYuXYrMzEw8/fTTcHNzK7r98MMPlk6NyrFiaAcMDfE0aKwOgM+kaEQfTzFqTkTGwqNbIiIiIiIDRb4QIBwrAZgfc850yRAZiZzWXG90amrCTIhICSxdBBDdz8Reo4z9lZTQ0szaSJJU6m3IkCGWTo0qMLVvKwzvXH47tfK8t/4oZkedNGJGRMbBogkRERERkYHs7dTwqV9DOH7RXxe42oQUTW5rrsHBhp8oISLrYMkigJz9TAIsvAl8ISW0NCMyp497+2HJ620NHr/870uYvinBiBkRVR6LJkRERERElTDtuVbCsTqJq01I2diai4geZckigJz9TNoLrogxNSW0NCMyt/DWbjg3q5fB41fuvYxhK/cbMSOiyuERLhERERFRJQQ3qw+NjAtbF+zkahNSLrbmIqJHWbIIYG37mRSydEszIkuwt1Nj2RuGrzjZcTYdfebvMmJGRIZj0YSIiIiIqBI0ahVGPe0ja8xLS/eaKBsiw7E1FxGVxVJFAGvbz6QQ9zWhqqqnv1ulCicJqdnozcIJKQCLJkRERERElTSuewvI6aJ+NDkTm46lmCwfIkOwNRcRlcUSRQBr3M+kEPc1oaqsp78bEueEG3zS+SQLJ6QAPMolIiIiIqokjVqFMc/IW20y5vujbNNFiiKnDQ5bcxFVLXKKANfuPDDKc1rjfiaFuK8JVXUatQpJn/ZGNQNrmSdTsxH+1V9GzYlIDhZNiIiIiIiMQO5qEwDoNDvGJLkQGeJAknhLHbbmIqpaNGoV2jxWWyg2JcM4RRM5eywpaT+TQtzXhAg4H9kbTqIV10ecSruHkEgeK5NlsGhCRERERGQEGrUK818JkDXm5r18DF2530QZEYnT6iQcvpIhFNvYxZGtuYiqoCZ1qgvFGWPlhJw9luzUytrPpBD3NSHSOz0rHLUdNQaNvZaZh8DpW4ycEVHFeKRLRERERGQkz7VtgobO1WSN2Xk2HTM3nzJRRkRi4pJuQfQcp5+7s2mTISJFalzHSSjOGCsn5Oyx5OdWS1H7mRTiviZE/4if1hN1qtsZNPbOAy0Cpv1h5IyIyseiCRERERGREf3971DZY77dcxGb47kxPFnO2n2XhGNFW84QkW2Rs3Ji9T7x1lqlkbPHUt8A90o9l6nI2dfkaHIG9zUhm3d0ShjcXewNGpuZo4Pv5CgjZ0RUNhZNiIiIiIiMyN5OjaEhj8keN3rDUfx66KoJMiIqn1YnYfvp68Lx3M+EqGrq5F0PGsGVEzvO3KxUEeCAjJUXSp6TRIvMBTog9rx4oYjIWsVGdEfj2g4Gjc0pAJpPYuGEzINFEyIiIiIiI5va9wnUryG/BcH4n47B/5M/kJ1TYIKsiEoXl3QL+YJtcHxcq3M/E6IqSqNWoVVjsfZ8BTrDW3RpdRKOXr4jFKv0OUnO6pwFO86ZMBMi5dg7MRRNDCyc5OsA349ZOCHTU+5vFiIiIiIiK7b/4x4GjcvO18F/2lZ4ToxC80lR6Pr5Dmw7dZ1tO8hk5LTBCWvVyISZEJHS9W3dWDjW0M3N45JuoUDwV57S56RO3vUgut3KEbbooipkz8RQ+LnVNGhsjpaFEzI9w3bgISIiIiKicmnUKiwa0AajN8Qb/Bj5OuDy7Qd4e82hCmNVABzs1PB2rYEPe/iiawtXRW6MS8qzJSFVODbEx9WEmRCR0g0O9sTs6NNCsYZubi6nkKv0OUmjVuHJprVx4FJGhbFaHRCXeAshzcVXpxBZs+hxXdFnwW4kpNyVPTZHCzSLiMKFyN4myIyIK02IiIiIiEymT5vG6NainlmeSwKQU6DDqdS7GLb6IHwmRWPgN/vwIE9rlucn65RXoEPizftCsfYaFTr5mOffMxEpk72dGj6u1YVij13NNGjlhOh+JtYyJ43p9rhwrKGrc4is1eaxXdCthWHFzwIJ8J4YxRVaZBIsmhARERERmdCKoZ3Q2LmaRZ57b9JttJyyBf0X7eYXSirV6thLwrHP+Dbg6iUiQk9/N6G4PK38fU3k7GcS0MTFKuak4Gb1hU++bT2ZZtJciJRoxdAOGBriadBYHQCfSdGIPp5i1JyIWDQhIiIiIjKxvZN6wMmCjXHjr96Fz6Ro/H7kquWSIEXadPyacOygTp6mS4SIrIaczc1X77so67Hl7GfiXttJ1mNbikatQjvPOkKxiTfvI69AZ+KMiJRnat9WGN7Zy+Dx760/ipmbE4yYEVV1LJoQEREREZnB6Vm9Uc3CR99jfzyGPgt2WTYJUgytTkLC1SyhWDu1dbTBISLT6+RdDxrBBR47ztyUtdJRzn4mjetYR9EEADp41RWOXR0rr9BEZCs+7u2HRQMCDR7/7Z7LGLZyvxEzoqqMRRMiIiIiIjM5P6c3athrLJpDQko2On+6zaI5kDLEXkiH6PXM3XxdraINDhGZnkatQqvGzkKxBTp5Lbq2JKQKxyp9E/iHyVmdI7qnC5Et6tPGvVKFkx1n09F3wW4jZkRVFYsmRERERKQI165dwxtvvIF69erByckJTzzxBA4dOmTptIzu5Iye8HcXO9lkKskZuQifzxUnVd3CHeeEYwcHGd4yg4hsT9/WjYVj18RdEorLK9Ah8eZ9oVhr2QS+UCfvehCtO59KEVsBSGSr+rRxx4guhh93nEi5i6EruOKEKodFEyIiIiKyuDt37iAkJATVqlXDH3/8gVOnTmHevHmoU0esB7i12Ty2M+YPaANLXrd/KjUbfXglXpWl1Uk4dClDKFajhlWdnCQi0xsc7Ckcu/PMDaEWXatjLwk/5jO+Daxq9ZtGrUK7x2oLxV7LzOG+JlTlRYT7YcnrbQ0ev/NcOgsnVCksmhARERGRxX322Wfw8PDAypUr0aFDB3h5eaFHjx7w8fGxdGom069NY1yYE46Vbz4JRzvLnPhJSLmLt1YdtMhzk2XJac3V1qO2VZ2cJCLTs7dTw8e1ulBsnlasRdd3gitSAGBQJ0/hWKXo4C1efOa+JkRAeGs3JM4JN/jk9c5z6ejDldVkIBZNiIiIiMjifv/9dzz55JN4+eWX0aBBAwQGBmL58uXljsnNzUVWVlaxm7XRqFV4plVDnJkVjoRpYXimeV04mPnc9PYzN7DpWIp5n5QsTk5rrrHdHjdhJkRkrXr6uwnHrt5XfhEgr0CHy7cfCD2Wndq6WnMVkrOvyXdxl02YCZH10KhVSPq0N6oZeHyckJqN8K/+MmpOVDWwaEJEREREFpeUlISlS5eiefPm2Lp1K0aOHImxY8di9erVZY6JjIyEi4tL0c3Dw8OMGRtfTUc7rHwrCGcje+PSp71xekZPvPykO2rZm76KMub7o0KtU8g2aHUSDl3OEIpVq4Dg5uIn+oio6pBTBNh2uvwWXRG/HBN+rG6+rla5+q2Tdz1oBM/CXb79gC26iB5yPrI3nAxcmX0q7R5CImOMnBHZOjtLJ0BEREREpNPp8OSTT2LOnDkAgMDAQCQkJGDZsmUYPHhwqWMiIiIwYcKEoj9nZWVZfeHkYU72Gsx9KRBzXwoUin+Qp8Ww1fuxL/GOQc8XOu8v7PzXMwaNJesSl3QLojWydo+xNRcRla6Tdz3YqYACgflEJwGx59PRuYVriZ9pdRJ+Oyq+4nFwkOEbRFuSRq1CqG8DbD11Qyg+4pfjmPdKm3JjtDoJBy7exo27OWhQyxEdvOpa5Zy9e/duzJ07F4cPH0Zqaio2btyI/v37WzotUpjTs8IROH0r7jwokD32WmYeAqdvwdGpPU2QGdkirjQhIiIiIotzc3ODn59fsftatmyJK1eulDnGwcEBzs7OxW5VmZO9Bt8PD0binHDUqy7/2qiLt+7jt/hrJsiMlGaNjF75bM1FRGXRqFXoF+guHD9tc0Kp98cl3RIqvADW25qr0KBg8YLPxqPXyl2ds+lYCtrM+BOvLY/DuA3xeG15HJ76bAe2JKQaI1WzunfvHgICArB48WJLp0IKd3RqGNxd7A0ae+eBFgHT/jByRmSrWDQhIiIiIosLCQnB2bNni9137tw5NG3a1EIZWS+NWoXDU8Lg51ZT9thxG+LZpsvGaXUStp0Ru8qZrbmIqCKRLwQIxybevF9qy6m5W04LP4a1tuYqJKdFV+HqnNIMX3MQY74/irs5xa+4T83Mwcjvjlhd4aRXr16YNWsWnn/+eUunQlYgNqK7wYWTzBwdfCdHGTkjskUsmhARERGRxb3//vuIi4vDnDlzcOHCBaxfvx7ffPMNRo0aZenUrFb0uK5oZUDh5KWle02QDSlFXNItaAXb5Pu7O1v1yUkiMj17OzWaudYQjo/45XixP+cV6BB/NUt4vLW25ipU2KJLVGmrc2ZHnURMOS2+JADTN52y6YsgcnNzkZWVVexGVUtsRHfUNWBlNQDkFADNJ7FwQuVj0YSIiIiILK59+/bYuHEjvv/+e/j7+2PmzJn46quvMHDgQEunZtWixnWFXyPxk1kAcDQ5E5uOifeWJ+uydt8l4di+AeJtd4io6prat5Vw7C9HireckrMBvLW35iokp0XXo6tz8gp0WP73pQrHpWbm4MDF24akZxUiIyPh4uJSdLOlPe1I3JEpYWhc28Ggsfk6wPdjFk6obCyaEBEREZEi9OnTBydOnEBOTg5Onz6N4cOHWzolmxA9/mnUryHvSrzxPxy16StUqyqtTsL209eF4wfLOLFHRFVXcLP6wieXJADzY84B0M9JPx8RL9L3a+NuE6vfOnnXQzUZZ+Pe/Dbun///b1w5kcXduJsjJy2rEhERgczMzKJbcnKypVMiC9k7MdSglrQAkKNl4YTKxqIJEREREZGN2/9xD1nxWt0/J7XIdsQl3UK+YGsuH9fqsLfj10UiqphGrUJ3P/GWUwt3XoBWJ2HM+sOynifyhdZyU1MkjVqFkV19hOP3X7yDvAId8gp02H/pjvC4BrUcDUnPKjg4OMDZ2bnYjaqu6HFd4e9ey6CxOVqgWQQLJ1QSj4KJiIiIiGycRq3CglfEN+sFgCW7LnC1iY2R05orrFUj0yVCRDZHTsspCcAXW04jOkF85VtAE2ebKuSO695CVvyTM7cifP4u4fhqGhU6eNWVmxaR1do8tgu6tXA1aGyBBHhPjOJxLxVjO79xiIiIiIioTM+1bYKGztWE4wt0QOz5dBNmROYktzVXiI9hJx6IqGqS23Jq6e6Lsh7/32EtZWakbBq1Ci+0Ed83KitXhws37wvH923tZlWtzLKzsxEfH4/4+HgAwMWLFxEfH48rV65YNjGyKiuGdsDQEE+DxuoA+EyKRvRx7utHemYpmixevBienp5wdHREx44dceDAgXLj/+///g++vr5wdHTEE088gejoaHOkSURkdJz/iIhISf7+d6is+GmbE0yUCZmbnNZc9hrb2GzZGsk9dqwKHuRp8a+fjuKJKdHwnBgFr4lRaPFxNPov3oPM+/mWTk9x8gp0WLzzHIIjY9Bqyh946tPtWLLzQrHNxE1BbsspOWx1Tvr0JXkrQGU99oume2xTOHToEAIDAxEYGAgAmDBhAgIDAzFlyhQLZ0bWZmrfVhje2fA92d5bfxQzefxLMEPR5IcffsCECRMwdepUHDlyBAEBAQgLC8ONGzdKjY+NjcVrr72Gt956C0ePHkX//v3Rv39/JCTwHywRWRfOf0REpDT2dmqE+zcUjk+8ed/kJ9rIPGITxVcNPePbwKquULYVco8dq4KhKw+g5ZQt+L9DKbibp2+bIgHI1UqIT85EwIw/8eTMLWyp8j8zNp3E45P/wNyt55GSmYd7eTpczcjB51vP4vHJfyAy+pRJn19uyylR73bxsck5yd5OjY6edYz+uB296lhdK7Onn34akiSVuK1atcrSqZEV+ri3HxYNCDR4/Ld7LmPYyv1GzIiskUqSJJMeXXTs2BHt27fHokWLAAA6nQ4eHh4YM2YMJk6cWCL+1Vdfxb1797B58+ai+zp16oQ2bdpg2bJlFT5fVlYWXFxckJmZyY2giKhcpp4vzD3/AZwDiUiMrc4Vtvq6jE2rk+AzSXwlY0evOvhhRLAJMyJzeHnpXhy8nCEUu+6tjghpXt+0CVmQUucKuceOD1Pqa6oM/2lbkZ1TIBy/7I226OnvZsKMlK3r5ztw+faDCuNGdPFCRLifyfKYt+UMFv6VaLTH06iBc7PCbbJoAuhXBj0++Q+jPua5Wb3KLZrY4nxhi6+JKm9zfApGbzhq8Pgn3Gth09guRsyILE3OXGHS0nNeXh4OHz6M0NB/2gCo1WqEhoZi3759pY7Zt29fsXgACAsLKzOeiEiJOP8REZFSye2jvv/iHa42sXJanYTDVzKEYu3UsMk2OEpnyLGjLfP7JFpWwQQA3v3uCLYkpJooI2Xrs2CXUMEEAJb/fdGkc/r4HsZdbfLVq4E2WzAB9KtNevo3MNrjWeMqEyJT6dPGHSO6GN6q60TKXQxdwRUnVZVJZ9L09HRotVo0bFi8BUDDhg2RlpZW6pi0tDRZ8bm5ucjKyip2IyKyNHPMfwDnQCIiMozcPuoRvxw3USZkDnFJtyDavcjPzdmmT1AqldxjR1s+BgyJ/BP38w1riPHud0eqXKuu349cRUJKtnC8TgLW7rtksnw0ahUWvGKc/TSauVZH3wDxIr+1Wvz6k0Z7rLVvdTLaYxHZgohwPyx5va3B43eeS2fhpIqy+vJzZGQkXFxcim4eHh6WTomIyGw4BxIRkSHk9lHfePRalTsRaUvWxF4Ujq0KJyhtga0eA07fdALXMiu3uXvQnG1Gykb5tDoJY388Jnvc5dv3TZDNP55r2wR+japX+nGix3U1QjbKp1GrsGhAm0o/zrAQT64yISpFeGs3JM4JN/gk+M5z6egzf5dRcyLlM+lsWr9+fWg0Gly/fr3Y/devX0ejRo1KHdOoUSNZ8REREcjMzCy6JScnGyd5IqJKMMf8B3AOJCIiw619W/xqVJ0ExJ4X30iclEOrk7DtjPhG4oODDW9jQYaTe+xoi8eAeQU6rNx7pdKPcyM7DzM2nTRCRsr30tI9Bo1rWrfyBY2KRI9/BtXtDB//1lNeVaoA0KdNYzzra/heUh51nTClbysjZkRkWzRqFZI+7Y1qBi6mTUjNRvhXfxk1J1I2k/4Gsre3R7t27bB9+/ai+3Q6HbZv346goKBSxwQFBRWLB4CYmJgy4x0cHODs7FzsRkRkaeaY/wDOgUREZDh7OzXaNBH/vTFtc4IJsyFTiUu6Ba3g9gVN6zpVqZOUSiL32NEWjwHf/G+c0R5rxd5LNr8X0+b4aziaLL8tm1oFvBnkafyESnFqVm/Ya+SPa93EGZ/0Md1m9Ur17ZCOeMK9luxx9arb4e9/dzNBRkS253xkbzjZGVY5OZV2DyGRMUbOiJTK5EfEEyZMwPLly7F69WqcPn0aI0eOxL179zB06FAAwKBBgxAREVEUP27cOGzZsgXz5s3DmTNnMG3aNBw6dAijR482dapEREbF+Y+IiJTuXz1bCscm3rxv8ychbZGc1lxvdGpqwkyoIhUdO9qyvAId9l+6Y9THfPNb4xVhlEarkzD+h3iDxg7vbN4VHOdm90a9GvbC8W891RS/j+5swoyUbdPYLnjWV3xj+FZuNXB4SpgJMyKyPadnhaOOk2FL4a5l5iFw+hYjZ0RKVInFkmJeffVV3Lx5E1OmTEFaWhratGmDLVu2FG1wd+XKFajV//zCDg4Oxvr16zF58mRMmjQJzZs3x6+//gp/f39Tp0pEZFSc/4iISOk6eddDNTWQL1gLmfjzMXz5aqBpkyKj0eokxJxiay5rUdGxoy0z5iqTQvsv3kFegc4mV0/FXkhHgQHbTI3o4oWIcPOv4Dj8SXdM//0kVsZeKjOmYc1q+HtiqE3+fcn17ZD22HQsBeO+P4ryfj0veCUAz7VtYra8iGzJ0alhCI6MQUpmnuyxdx5oETDtDxyb1ssEmZFSqCRJsqkdHbOysuDi4oLMzEybWKJMRKZji/OFLb4mIjI+W50rbPV1mdqXW89gwc5EoVi1Cjg/OxwatYENocms/j53E2+uOCAU27SuE3ZVkfYutjhXWPNryivQ4fHJf5jksV8IdLfJQm/ovL9w4eY94XjXmtWwVwEFibwCHZb/fQFrYy/i1r0C2Ntp0MGrLha+1hY1HU1+Ta/V0eok7D59A59tPYWL6fehUqvh7VoDH/bwRdcWrgb/Lrbm+aIstviayDwMLZwAgKMdcGZWbyNnRKYkZ67gbyUiIiIioipsXPcWwkWTwg3hO7dwNXFWZAzTZWyGzdZcZCkTfzpmssfeeDQFc19uY1OF3rwCnayCibODGgcn9zBhRuLs7dQY9czjGPXM45ZOxSpo1Co806ohnmll+6vNiCwlNqI72s7Yitv3C2SPzSkAmk+Kwvk5LJzYIq57JCIiIiKqwjRqFV5o4y4czw3hrYPcE6tszUWWoNVJ+O1YinB88wY1sGhAG+F4CcD8mHPyE1MwuUWmQ59wvwsiovIcmRKGxrUdDBqbrwN8P44yckakBCyaEBERERFVcZ++FCAcyw3hrUPEL+InVn1cq1u8bQ9VTXFJt6CV0TA8amwX9GnTGM1dqwuPWbY7EVqdbXQl1+ok/BIvXmQK92/EzzYRkYC9E0Ph51bToLE5WhZObBF/exIRERERVXH2dmo0c60hHB/xy3ETZkOVpdVJ+O2o+InVaX38TZgNUdnWxF4Ujn24uBc1rqvwuDythLjEW7JzU6L5MWdlxS98va2JMiEisj3R47rC372WQWNztECzCBZObAmLJkREREREhKl9WwnH/hafYjNXbtuiuKRbKBD861GrgODm9U2bEFEptDoJMaduCMc/XNyTW+hdvU+8OKNUWp2EpbvE9p8CgBcC3W1qLxciInPYPLYLuhm4d1+BBHhPjOIxso1g0YSIiIiIiBDcrL7wl4MCne1cuW2L5Fy9H9qyAU+skkXEXkiHaKO/0op7cgq9O87ctPqTWHFJt5AvozPipy+Kt10kIqJ/rBjaAUNDPA0aqwPgMyka0cfFV/ySMrFoQkRERERE0KhV6O7XQDjeFq7ctkVyr94fHMQN4Mkypm86KRz7fGDjEsW9qlboXbvvknAs9ykiIqqcqX1bYXhnw4+R3lt/FDM3JxgxIzI3/hYlIiIiIiIAwKBg8S+H207fsPort22RnKv37dQqdPKpZ9J8iEqTV6DDhZv3hOMjX2hd4j6NWoXn27oLP4Y1F3q1OgnbT18Xjuc+RURElfdxbz8sGhBo8Phv91zGsJX7jZgRmROLJkREREREBADo5F0PdoKdmnQSEHs+3bQJkWxyrt7v14Z7HpBlrI69JBxb3qqJyBfEW1BZc4suOa257NTcp4iIyFj6tHGvVOFkx9l09F2w24gZkbmwaEJERERERAD0V273CxS/cnvBjnMmzIbkMsbV+0TmsOn4NeHY8lZN2Nup0bSuk9DjWHOLLjmtuZ5t2ZDFUCIiI+rTxh0juhjequtEyl0MXcEVJ9aGRRMiIiIiIioi58rtw1cyrPbKbVs08adjwrHc84AsRauTkHA1Syi2tA3gH/VGJ0/h5/77gvh+P0ohtzXXIBnvBxERiYkI98OS19saPH7nuXQWTqwMj5KJiIiIiKiIvZ0azVxrCMWyRZdyaHUSfolPEY7nngdkKXL23Qlt2aDCVRODgz2Fn3vnmZvCsUohpzWXvYb7FBERmUp4azckzgk3+GT6znPp6DN/l1FzItNh0YSIiIiIiIqZ2reVcOxPR5JNmAmJmh9zVjhW5Op9IlNZKKOt3+Cgituh2Nup0bCWvdDjXbiZbXWr42ITxQvTz/hWXGQiIiLDadQqJH3aG9UMnGoTUrMR/tVfRs2JTINFEyIiIiIiKia4WX2IfheMS7LOPQJsiVYnYfFficLx/bkBPFmIVifh0OUMoViNGsKrJoJ8xIqAWh2sbl+TAxdvC8eyNRcRkXmcj+wNJzvDjqVOpd1DSGSMkTMiY2PRhIiIiIiIitGoVWjRUKxF1/W7ecgrEG22Q6YQeyEdWhkXz3/6ovi+NUTGFJd0C6ILPdp61BYu7r3YtolwDmviLgnHWppWJ+Ho5TtCsWzNRbZg8eLF8PT0hKOjIzp27IgDBw5YOiWiMp2eFY46TnYGjb2WmYfA6VuMnBEZE4smRERERKQ4n376KVQqFcaPH2/pVKqsbr6NhGNXx140YSZUkWm/nxSO5QbwZElyWk2N7fa4cGxws/rCJzd2nrlhNS264pJuoUAwVbbmImv3ww8/YMKECZg6dSqOHDmCgIAAhIWF4caNG5ZOjahMR6eGwd1FrEXko+480CJg2h9GzoiMhUfLRERERKQoBw8exNdff43WrVtbOpUqLUTGnhffxV02YSZUnrwCHRLT7wnHcwN4sqQtCalCcXZqefvuaNQqtPOsIxSbp5WspkXX3vPiRSa25iJr9+WXX2L48OEYOnQo/Pz8sGzZMlSvXh0rVqywdGpE5YqN6G5w4SQzRwffyVFGzoiMgUUTIiIiIlKM7OxsDBw4EMuXL0edOmInwMg0OnnXg0bw28Ll2w/YostC3vxvnHAsN4AnS8or0CHx5n2h2EAZrbkKdfCqKxy7N/GmrMe2lB1n0oTi7NRszUXWLS8vD4cPH0ZoaGjRfWq1GqGhodi3b1+J+NzcXGRlZRW7EVlSbER31K1uWKuunAKg+SQWTpSGRRMiIiIiUoxRo0ahd+/exb40l4VfmE1Lo1Yh1LeBcDxbdJlfXoEO+y+J7XcAcAN4sqzVsZeEY9vLKIAUChbcDB4ADsrYXN1StDoJZ6+LrSJ7rK4TP9tk1dLT06HVatGwYcNi9zds2BBpaSWLh5GRkXBxcSm6eXh4mCtVojIdmRKGxrUdDBqbrwN8P2bhRElYNCEiIiIiRdiwYQOOHDmCyMhIoXh+YTa9QcFewrFs0WV+claZANwAnixr0/FrwrEhPq6yH7+Tdz1UEzzDcexqpuL3NYlLugXRDJ9o7GLSXIiUJiIiApmZmUW35ORkS6dEBADYOzEUfm41DRqbo2XhRElYNCEiIiIii0tOTsa4ceOwbt06ODo6Co3hF2bTY4su5ZK7yqSjVx1uAE8Wo9VJOHlNbDWgoa2mNGoVnm3ZsOJAWMe+JrGJ4vuZvNSWFw2Qdatfvz40Gg2uX79e7P7r16+jUaNGJeIdHBzg7Oxc7EakFNHjusLfvZZBY3O0QLMIFk6UgEfNRERERGRxhw8fxo0bN9C2bVvY2dnBzs4Ou3btwoIFC2BnZwetVltiDL8wmx5bdClX58+3yYpf+1YnE2VCVLG4pFvQCi6b6ObranCrqTeDPIVjlb6vyQHBFmJ2au5VRNbP3t4e7dq1w/bt24vu0+l02L59O4KCgiyYGZFhNo/tgm4t5K+aBIACCfCeGKX4FZG2jkUTIiIiIrK4Z599FidOnEB8fHzR7cknn8TAgQMRHx8PjUZj6RSrLLboUp7fj1zF9ax84XiuMiFLk7NqYnCQ+JzzqE7e9WAnWG9R8r4mWp2Eo5fFVpIFetTmfiZkEyZMmIDly5dj9erVOH36NEaOHIl79+5h6NChlk6NyCArhnbA0BBPg8bqAPhMikb08RSj5kTi7CydABERERFRrVq14O/vX+y+GjVqoF69eiXuJ/MqbNGlFei8VdiiiyfoTUerkzD2x2OyxnCVCVma6KoJe41hrbkKadQqBDatg4MCresK9zVRYsEhLukWCgQvMG7vVde0yRCZyauvvoqbN29iypQpSEtLQ5s2bbBly5YSm8MTWZOpfVvBTq3C8r8NW4393vqjeOvKbXzSh9+HzI3fZoiIiIiIqExs0aUsHWf/KS+eq0zIwuSsmgho4lLpIkYHwSKCkvc1kbMyJ8THsPYvREo0evRoXL58Gbm5udi/fz86duxo6ZSIKu3j3n5YNCDQ4PHf7rmMYSv3GzEjEsGjZyIiIiJSpL/++gtfffWVpdMgyGvRtekY2wiYytAVcUi/VyBrDFeZkKWZe9VEsI/4/h5K3dfEXCtziIjIPPq0ca9U4WTH2XT0XbDbiBlRRVg0ISIiIiKichW26BKRkJLFjStNYObmBOw8J++q+F6tGnKVCVmcuVdNWPu+JuZemUNERObRp407RnQxfN+uEyl3MXQFV5yYC4+giYiIiIioXHJadOkkIPa8+ElSqlj08RR8u+ey7HGLBrYzQTZE8ph71UThviYiCvc1URLuZ0JEZLsiwv2w5PW2Bo/feS6dhRMzYdGEiIiIiIgqJKdF14Id50yYSdXyIE+L99YflT1u/oA2vAKdLM5SqyaseV8T7mdCRGTbwlu7IXFOuMEn5XeeS0ef+buMmhOVxKIJERERERFVqJN3PYiezzySnKG4q7etjVYn4d01h9ByyhbZY73qVUe/No1NkBWRPJZaNWHN+5pwPxMiItunUauQ9GlvVDPwWoGE1GyEf/WXUXOi4lg0ISIiIiKiCmnUKjzZtLZQrFYHxV29bS0e5Gnx2vJY+EyKxpZT1w16jG0fPG3cpIgMZKlVE9a6rwn3MyEiqlrOR/aGk+gvrEecSruHkMgYI2dEhewsnQAREREREVmHMd0ex5srDgjFrt53ESHNxa/2tkVanYTdp2/g0y0nce7mA5hj7c3C1wJ5IpUU49qdB0Jxxl41UbivycFLFRcgCvc1UcLnhvuZEBFVPadnhSNw+lbceVAge+y1zDwETt+Co1N7miCzqo0rTYiIiIiISEhws/rCXyB2nLlZJVt0ZecUYOi3+9BsYhR8JkVj6NpDOGumgkk3X1f0DXA3wzMRibl6575QnClWTVjjvibcz4SIqGo6OjUM7i72Bo2980CLgGl/GDkjYtGEiIiIiIiEaNQq+DdxFoot0CnnRKQ5ZOcUwH/KFvhP24qd529D/rWCldOktiNWDOlg5mclKptWJyH+SoZQrHttJ6M/vzXua8L9TIiIqq7YiO4GF04yc3TwnRxl5IyqNhZNiIiIiIhIWN/W4huMr4m7ZLpEFCKvQIeOc2LgP20rsvO0FsmhejU19kx81iLPTVQWOa2mGtcxftHE2vY14X4mREQUG9EddasbtptGTgHQfBILJ8bCogkREREREQkbHOwpHLvzzA2bbtE1c/MpPD75D1zPyrNYDtVUwKmZvSz2/ERlsXSrqcJ9TUQU7mtiSdzPhIiIAODIlDA0ru1g0Nh8HeD7MQsnxsCiCRERERERCbO3U8PHtbpQrJL2CjC2vgv/xrd7Llo0BzsVcD6yt0VzICqLElpNWdO+JpYuMhERkXLsnRgKP7eaBo3N0bJwYgwsmhARERERkSw9/d2EY5WyV4Ax9Z6/CyeuZVk0hzqOalxgwYQUSimtpqxpXxMlFJmIiEg5osd1hb97LYPG5miBZhEsnFQGiyZERERERCSLnBORW0+mmTAT8+szfxdOpmZbNIfBwR44Oo0tuUi5lNJqylr2NVFKkYmIiJRl89gu6NbCsNWFBRLgPTHK4u0nrRWLJkREREREJEsn73qoJvhNIvHmfeQV6EybkJm8tWo/EixYMPGp74Rzs3ph+nOtLZYDkQiltJqyln1NlFJkIiIi5VkxtAOGhngaNFYHwGdSNKKPpxg1p6qARRMiIiIiIpJFo1bh2ZYNheNXx1p27w9j2Bx/DdvPiJ8INqYQ77o4PaMntn/YDfZ2/ApHyqekVlPWsK+JUopMRESkTFP7tsLwzl4Gj39v/VHM3JxgxIxsH4+4iYiIiIhItjeDPIVjNx2z7qvbtDoJozfEm+35qqmBlo1qYcXg9kicE4517wTByV5jtucnqgyltZqyhn1NlFRkIiIiZfq4tx8WDQg0ePy3ey5j2Mr9RszIttmZ8sFv376NMWPGYNOmTVCr1XjxxRcxf/581KxZs8wxTz/9NHbt2lXsvhEjRmDZsmWmTJWIyKg4/xERka3r5F0PahUg0s3mVGoWtDrJavvwd5z9Z6XG16leDWGtGmFq31YsflCpZs+ejaioKMTHx8Pe3h4ZGRmWTslgSms1VbiviUhOltjXRGlFJiIiUq4+bdwBAKM3HDVo/I6z6ei7YDc2je1izLRskkmLJgMHDkRqaipiYmKQn5+PoUOH4p133sH69evLHTd8+HDMmDGj6M/Vq1c3ZZpEREbH+Y+IiGydRq1Cu8dq4+DljApjC3RAXOIthDQXv+JbKaZvOoH0ewWyx6kAnJgWhpqOJv3KRTYiLy8PL7/8MoKCgvDtt99aOp1KUVqrqcJ9TQ5eqrgwUbiviTkLE0orMhERkbL1aeOOEykZ+Hq3Ye1vT6TcxdAV+7FyWEcjZ2ZbTNae6/Tp09iyZQv++9//omPHjnjqqaewcOFCbNiwASkp5S/Pr169Oho1alR0c3Z2NlWaRERGx/mPiIiqig7e4m1iLNX2pjLyCnRYufeK7HHuztVw8dPeLJiQsOnTp+P999/HE088YelUKu3anQdCceZsNaXkfU2UVmQiIiLliwj3w5LX2xo8fue5dAxdwVZd5TFZ0WTfvn2oXbs2nnzyyaL7QkNDoVarsX9/+X8p69atQ/369eHv74+IiAjcv3+/zNjc3FxkZWUVuxERWZK55j+AcyAREVmWnL0Ctp5MM2EmptH5822yx/g1qoHYST1MkA3RP5R8DHjtTvnHr4XM2WpKyfuacD8TIiIyRHhrNyTOCTf45P7Oc+noM39XxYFVlMmKJmlpaWjQoEGx++zs7FC3bl2kpZX9hen111/Hd999h507dyIiIgJr167FG2+8UWZ8ZGQkXFxcim4eHh5Gew1ERIYw1/wHcA4kIiLL6uRdD9UEv1Ek3ryPvAKdaRMyot+PXMX1rHxZY/zcaiJ6/NOmSYjoIUo9BtTqJBy7mikUa85WU4X7mogQXSljDNzPhIiIKkOjViHp096oZuCvh4TUbIR/9ZdRc7IVsosmEydOhEqlKvd25swZgxN65513EBYWhieeeAIDBw7EmjVrsHHjRiQmJpYaHxERgczMzKJbcnKywc9NRFQepc1/AOdAIiKyLI1ahWdbNhSOXx1rWO9lc9PqJIz98ZisMfWr2yF6XFcTZUTWyJTHjko9BoxLuoU8rdgGHeZsNaVRq9DmsdpCsSkZ5iuacD8TIiIyhvORveEkenXAI06l3UNIZIyRM7J+spvsfvDBBxgyZEi5Md7e3mjUqBFu3LhR7P6CggLcvn0bjRo1En6+jh31m9JcuHABPj4+JX7u4OAABwcH4ccjIjKU0uY/gHMgERFZ3ptBnthy8rpQ7KZjKRjepfTfaUoyZv1h2WP2T2ZLLipO9NjREEo9BhTdn8PRTm32VlNN6lTHocsZFcaZczP4fTL2T+F+JmSrZs+ejaioKMTHx8Pe3h4ZGRmWTonIKp2eFY7A6Vtx50GB7LHXMvMQOH0Ljk7taYLMrJPsoomrqytcXSv+ZR0UFISMjAwcPnwY7dq1AwDs2LEDOp2u6ESgiPj4eACAm5ub3FSJiIyK8x8REVFJnbzrQaMGtAKdtxJSssx2MtJQeQU6RCeIFYEKLXwtUNGviSxD9NjRlojuz9HaAq2mGtdxEoor3Aw+pLn4PiiGkiC2zMQSRSYic8nLy8PLL7+MoKAgfPvtt5ZOh8iqHZ0ahuDIGKRk5skee+eBFgHT/sCxab1MkJn1MdmeJi1btkTPnj0xfPhwHDhwAHv37sXo0aMxYMAAuLu7AwCuXbsGX19fHDhwAACQmJiImTNn4vDhw7h06RJ+//13DBo0CF26dEHr1q1NlSoRkVFx/iMioqpEo1Yh1LdBxYEAdBIQe17sSnRLmfiTvLZcgR4u6BvgbqJsqKq4cuUK4uPjceXKFWi1WsTHxyM+Ph7Z2dmWTk2YnP053FwcTZxNSUrcDD41475QXPgTbizMks2aPn063n//fTzxxBOWToXIJsRGdIe7i71BYzNzdPCdHGXkjKyTyYomALBu3Tr4+vri2WefRXh4OJ566il88803RT/Pz8/H2bNncf++/kDB3t4e27ZtQ48ePeDr64sPPvgAL774IjZt2mTKNImIjI7zHxERVSWDgr2EYxfsOGfCTCpHq5PwS3yKrDE/jQwxUTZUlUyZMgWBgYGYOnUqsrOzERgYiMDAQBw6dMjSqQmTsz+H6KoPY1LaZvBanYTNx1OFYhtZoMhERETWKzaiO+pWl91gCgCQUwA0n8TCiWHvnqC6deti/fr1Zf7c09MTkvTPUZWHhwd27dplypSIiMyC8x8REVUlnbzrQa3SrySpyOErGYpt0TU/5qys+LHPNFPk6yDrs2rVKqxatcrSaVSK6H4mgGX259CoVQhsWgcHL1W8GiY1M8fk+cQl3UKeViyW0wxRcbm5ucjNzS36c1ZWlgWzIVKmI1PCEPLpNlzLyK04+BH5OsD34yicmd3bBJlZB5OuNCEiIiIiItunUavwZNPaQrFKbdGl1UlYuitROF6tAsZ1f9yEGRFZF9H9TOw1Kovtz9HBq65Q3PH/bQZvSnKKTEHept9fhciYJk6cCJVKVe7tzJkzBj9+ZGQkXFxcim4eHh5GzJ7IduydGAo/t5oGjc3R6gsnVRWLJkREREREVGljuokXEJTYoisu6RbyBTazLzT6aa4yISokZz+TAAtsAl9IdF+TnAId4hJvmTQX0RZgliwyERnqgw8+wOnTp8u9eXt7G/z4ERERyMzMLLolJycbMXsi2xI9riv83WsZNDZHC3hPjDL5hQRKZNL2XEREREREIiIjI/HLL7/gzJkzcHJyQnBwMD777DO0aNHC0qmRoOBm9aEGIFJ3UGKLrrlbTgvHcpUJUXFy9jNpL7jawxQ6edeDvUaFPG3Fye5NvImQ5qZb4XH1jtgm8JYsMhEZytXVFa6upmvD5+DgAAcHB5M9PpGt2Ty2C4atPIAdZ2/KHqsD4DMpGkteD0R4a3fjJ6dQXGlCRERERBa3a9cujBo1CnFxcYiJiUF+fj569OiBe/fuWTo1EqRRq/CkZ22hWKW16Mor0CH+qng/dK4yISpO6fuZFNKoVQho4iIUe1Cw3ZghtDoJ8VcyhGLdazuZLA8iJbhy5Qri4+Nx5coVaLVaxMfHIz4+HtnZ2ZZOjcimrBjaAUNDPA0e/976o5gdddJ4CSkcV5oQERERkcVt2bKl2J9XrVqFBg0a4PDhw+jSpYuFsiK5xnR7HG+uOCAUO21zAra3eMbEGYmZ+NMx4VgVuMqE6FHWsJ9JocZ1quPg5YwK4479b18TUxRI5azMaVyHRROybVOmTMHq1auL/hwYGAgA2LlzJ55++mkLZUVkm6b2bQU7tQrL/75o0Pjlf19CgU7C1L7+Rs5MebjShIiIiIgUJzMzEwBQt27ZbVxyc3ORlZVV7EaWVdiiS0TizfvIK5CxiYiJaHUSfolPEY5/oW1jrjIheoi17GdSSLQIkaeVTLavibWszCEyh1WrVkGSpBI3FkyITOPj3n5YNCDQ4PEr917GsJX7jZiRMrFoQkRERESKotPpMH78eISEhMDfv+yrmCIjI+Hi4lJ08/DwMGOWVBo5LboAYHWsYVe5GdP8mLOy4iNfaG2iTIisk7XsZ1JIdDN4QL+viSlY08ocIiKyPX3auFeqcLLjbDr6LthtxIyUh0UTIiIiIlKUUaNGISEhARs2bCg3LiIiApmZmUW35ORkM2VI5RnTTbx11Xdxl02YScW0OglLdyUKx3f0qgN7O36FInqYta2a6ORdD3aCi11Msa+Jta3MISIi29SnjTtGdPEyePyJlLsYusJ2V5zwiJ+IiIiIFGP06NHYvHkzdu7ciSZNmpQb6+DgAGdn52I3sjw5Lbou335g0RZdcUm3kC/j6de+1cl0yRBZKWtbNaFRqxDYtI5QbOG+JsZkbStziIjIdkWE+2HJ620NHr/zXLrNFk5YNCEiIiIii5MkCaNHj8bGjRuxY8cOeHkZftUTWZZGrUJ3vwbC8RG/HDdhNuVbI6M9mI9rda4yIXqEta6a6CBYjDDFvibWtjKHiIhsW3hrNyTOCYfGwPE7z6Wjz/xdRs1JCXjUT0REREQWN2rUKHz33XdYv349atWqhbS0NKSlpeHBgweWTo0MMChYvOj1W3yK0a/kFqHVSYg5dUM4flqfsvfXIaqqrHXVhCX3NbG2lTlERGT7NGoVEj/tDSfR/pWPSEjNRvhXfxk3KQtj0YSIiIiILG7p0qXIzMzE008/DTc3t6LbDz/8YOnUyACdvOtBI/hNo0Bn/Cu5RcReSIdoZy61CghuLn6SlaiqsNZVE5ba18RaV+YQEVHVcHpWOGo7Grbm5FTaPYRExhg5I8th0YSIiIiILE6SpFJvQ4YMsXRqZACNWoVQX/EWXav3ibfJMpbpm04Kxz4f2JgnL4lKYa2rJiy1r4m1rswhIqKqI35aT9SpbmfQ2GuZeQicvsXIGVkGiyZERERERGR0clp0bTt9w6wtuvIKdLhw855wfOQLrU2YDZF1svZVE5bY18RaV+YQEVHVcnRKGNxd7A0ae+eBFgHT/jByRubHogkRERERERmdnPY3OgmIPS9+MrGyIn45JhzLDeCJSmftqybk7GtirNVw1royh4iIqp7YiO4GF04yc3TwnRxl5IzMi0f/RERERERkdBq1Cv0C3YXjF+w4Z8Js/qHVSfjtaIpwPDeAJyqdta+a6ORdDxrBwu6OMzcrvRrO2lfmEBFR1RMb0R11DWzVlVMANJ9kvYUTFk2IiIiIiMgkIl8IEI49kpxhlhZdcq6O5wbwRGW7dueBUJxSV01o1Cq0auwsFFugq3yLLmtfmUNERFXTkSlhaFzbwaCx+TrA92PrLJywaEJERERERCZhb6eGu4ujUKxWB6PtG1CeNbHibXZCWzbg1d5EZTh+1fpXTfRt3Vg4dm/izUo9l5y5R4krc4iIqOraOzEUfm41DRqbo7XOwgmLJkREREREZDL924iflPx862kTZqJvjxNz6oZw/OAg8c3siaqSvAIdktLFVpq413YycTaGGxzsKRx7UHA/ktJodRK2nRGbe+zUylyZQ0REVVv0uK7wd69l0NgcLeA9Mcosq8qNhUUTIiIiIiIymRAZ7a2OXc1CXoHOZLnEXkiH6KPzxCVR2VbHXhKObVxHuUUTezs1fFyrC8Ueu5pp8MmeuKRb0ApOPn5utRS7MoeIiKq2zWO7oFsLw1ZD6gD4TIpG9HHxvQUtiUUTIiIiIiIymU7e9WAn4/xfxC/HTZbLz0euCsf2a+POE5dEZdh0/JpwrNJbTfX0dxOKy9Mavq9JbGK6cGzfAHeDnoOIiMgcVgztgKEhngaPf2/9UcyOOmm8hEyERRMiIiIiIjIZjVqFfoHiJwF/OXLNZEv398k4cRn5QmuT5EBk7bQ6CSevZQnFWsOKrWAf8dVwhu5rckBGa6/BwWwLSEREyja1bysM72z476vlf1/C9E0JRszI+Fg0ISIiIiIik4p8IUA4VgIwP+ac0XPIK9Dh+t08oVh3F0fY2/GrElFp4pJuQStY1+zm66r4FVtyVsNtPZkm+/G1OglHL98RivVxrc65h4iIrMLHvf2waECgweNX7r2MYSv3GzEj4+JvYyIiIiIiMil7OzXaNHEWjl+y64LRV5vI2YPhuTZi7XqIqqK1+y4Jxw4OUv6qCY1ahcCmdYRiE2/el73vUlzSLRQITmdhrRrJemwiIiJL6tPGvVKFkx1n09F3wW4jZmQ8LJoQEREREZHJ/atnS+HYAh0Qe168lZaI7+IuCcd2btbAqM9NZCu0OgnbT18XirXXKL81V6EOXnWFY1fHXpT12GtkxCt9/xciIqJH9WnjjhFdDL9I4kTKXQxdobwVJyyaEBERERGRyXXyrodqMr59TNtsvD7HeQU6XL79QCjWGvZgILKUuKRbyBdcaBHQxEXxrbkKydnXZNOxFOFYrU7CtjM3hGI59xARkbWKCPfDktfbGjx+57l0xRVOWDQhIiIiIiKT06hVGNnVRzjekDY4ZZHTmssa9mAgspTYRPEVYO1lrN6wtE7e9aARPDuSkJIl3D4wLukWtILTmJ9bLc49RERktcJbuyFxTjg0Bo7feS4dfebvMmpOlcGiCRERERERmcW47i0g55Rg1893GOV55bTmsoY9GIgsZUtCqnCsNbWa0qhVCPUVa8unk8TbB8rZ/6VvgLtwLBERkRJp1CokftobTnaGXQSQkJqN8K/+Mm5SBmLRhIiIiIiIzEKjVmHMM+KrTVKzcvFb/LVKPSdbcxEZR16BDok37wvFWtN+JoUGBYsXTH86klxhjJz9XwBgsIznJyIiUrLTs8JR29GwNSen0u4hJDLGyBnJx6IJERERERGZzbjuLWTFv/9DvHArnNKwNReRccj5LD3j28DqPkudvOsJr4SLS7olFCO6/4uPa3XY2/H0DBER2Y74aT1Rp7qdQWOvZeYhcPoWI2ckD38rExERERGR2WjUKrzQRrwNjU4C5secM/j5Nh0XX6nC1lxEZZPT5m5QJ0+T5WEqGrUKLRrWEIq9fjevwj2X1sReFH7usFaNhGOJbMmlS5fw1ltvwcvLC05OTvDx8cHUqVORl5dn6dSIyAiOTgmDu4u9QWPvPNAiYNofRs5IHIsmRERERERkVp++FCArfsHOCwatNtHqJCRczRKKZWsuorJVlTZ33XzFixcRvxwv82danYSYUzeEH8ua9n8hMqYzZ85Ap9Ph66+/xsmTJ/Gf//wHy5Ytw6RJkyydGhEZSWxEd4MLJ5k5OrT8JNrIGYlh0YSIiIiIiMzK3k6Nnv5imy4XGr3usOznib2QDsHuOGzNRVWKVidhX+It/BZ/DfsSb1VYlIz45ZjwY1vzZymkeX3h2N/iU8p83+TMPdZcZCKqrJ49e2LlypXo0aMHvL298dxzz+HDDz/EL7/8YunUiMiIYiO6o66Brboe5EsWKZywaEJERERERGa3+PUnZcX/cfJ6he1wHrVwh3hbL7bmoqpiS0IqgiO34bXlcRi3IR6vLY9DcOQ2bElILTVeq5Ow8UiK8ONb82epk3c9aATPkhToJMQllr63iZy5p18bd6stMhGZQmZmJurWrVtuTG5uLrKysordiEjZjkwJQ+PaDgaNfZAvIWCqeVt1sWhCRERERERmp1GrMPYZH1ljnpy5VThWq5Nw6FKGYC7gld5UJWxJSMW73x3B9bvF9wu4fjcP7353pNTCSVVaNaFRqxDqK74K7vOtp0vcJ2fuAYDIF1oLxxLZugsXLmDhwoUYMWJEuXGRkZFwcXEpunl4eJgpQyKqjL0TQ+HnVtOgsZm5OvhOjjJyRmVj0YSIiIiIiCxiXPcWkHN9dVauDr0X7BaKlXOit61HbV7pTTZPq5Mw4cfy22yN3RBfouXU9E0nhZ/DmltzFRoULL5S5tjVrBIr4OKSbgnPPe4ujrC342kZsj0TJ06ESqUq93bmzJliY65du4aePXvi5ZdfxvDhw8t9/IiICGRmZhbdkpOTTflyiMiIosd1hb97LYPG5hQA3hOjDNrrUC7+diYiIiIiIovQqFWY/4q8TeFPptzF0BX7K4yT0x5nbLfHZeVAZI1iz6fjfp623Ji8Ah3mx5wr9ucLN+8JP4c1t+Yq1Mm7Huxk1H0e3RB+7paSq0/K8lwbN/EnIrIiH3zwAU6fPl3uzdvbuyg+JSUFzzzzDIKDg/HNN99U+PgODg5wdnYudiMi67F5bBd0a+Fq0FgdAJ9J0Yg+Lt461BAsmhARERERkcU817YJ6lTXyBqz81x6uYUTrU7CocsZQo+lVgHBMjZ/JrJWPx0RuxJ70V8Xiq7gfPO/ccKPb6+x7tZchTRqFfoFugvH/3zkWtH7lVegQ/xV8b0VOjcTbwVGZE1cXV3h6+tb7s3e3h6AfoXJ008/jXbt2mHlypVQq3mqkqgqWDG0A4aGeBo8/r31RzE7Snw1rFyciYiIiIiIyKJiJ3aXPWbnuXSE/2dnqT+LS7oF0VX77R5jay6qGq5l5AjF6SRgfsw55BXosP/SHeHHf7eLj818liJfkLcCbsz6IwCAzp9vEx5j7fu/EBlDYcHksccewxdffIGbN28iLS0NaWlplk6NiMxgat9WeOspT4PHL//7EqZvSjBeQg9h0YSIiIiIiCzKyV6DQA/5rTVOXb+P5pOi8OCRlkNrYi8KPwZbc1FV0aSOk3Dswp0X0Pkz8QKACsC47rbzWbK3U6NNE/E5KTohDT8fSsb1rHzhMf3auNtMkYnIUDExMbhw4QK2b9+OJk2awM3NrehGRFXDJ30qVzhZufcy3lp1wHgJ/Q+LJkREREREZHE/jXzKoHH5OqDllC3wnBiFkE+3Y9GO89h2+obQWLbmoqrkxbZNhGMlANfvihcAng+0vQLAv3q2lBX/wU/HKw56SOQLrWXFE9miIUOGQJKkUm9EVHVUtnCy/cxNoxdO7Iz6aA+ZPXs2oqKiEB8fD3t7e2RkZFQ4RpIkTJ06FcuXL0dGRgZCQkKwdOlSNG/e3FRpkqC8Ah2W/30Ba2Mv4vrdAvDXl/lUU6vQwNkBAzs2xdudvWFvx1qnNbCGOdCcn2s1gBoOGvR6wg3Tn/OHk7283vWmkp1TgDHrDiL2wm3kKmhiUwFwsFPD27UGPuzhi64tXBVxIkKp7xcAOGjU8GmgrPfLnJ8xjQpwdqqGsFaNMLVvK8V8xgyxePFizJ07F2lpaQgICMDChQvRoUMHS6dFZqBRq7BoQBuM3hBv8GNcy8jBF3+KbwDv7+6siPmCqrZLly5h5syZ2LFjB9LS0uDu7o433ngDH3/8cVHPf2MIblYfGhWgNcEvpE9flNfOyhp08q6Hamp9YdbYOnrV4fc6IiKih3zSpxXUKhWW/y2+Yvxh28/cxMzNp/BJHz+j5GOy39J5eXl4+eWXMXLkSOExn3/+ORYsWIBly5Zh//79qFGjBsLCwpCTI9Z7lUwjMvoUHp/8B+ZuPY80FkzMLl8n4VpGDj7fehaPT/4DkdGnLJ0SCVD6HGjuz7UOwN1cLX48dBUtp2zB8DUHTfyMFXtu0d/wn7YVO88rrwAgAcgp0OFU6l0MW30Qvp/8gS0JqRbNScnvFwDkapX1fpn7M6aVgDv387HhYLJiPmOG+OGHHzBhwgRMnToVR44cQUBAAMLCwnDjhtiqAbJ+fdo0xrO+5lv50TdAfLNnIlM5c+YMdDodvv76a5w8eRL/+c9/sGzZMkyaNMmoz6NRqzDqaR+jPiZguwUAjVqFkV2N/34BwNq3OpnkcYmIiKzZx739sOT1tgaP/3bPRUQfN865AJVk4jVvq1atwvjx4yu8ylqSJLi7u+ODDz7Ahx9+CADIzMxEw4YNsWrVKgwYMEDo+bKysuDi4oLMzEw4O8vvi0zFRUafwte7DavwkemM6OKFiHDjVE6rMnPMF0qcA5Xyue7u1wDLB7W3yHM/t+hvHL+aZZHnroxlb7RFT3/z9/fl+yWPNXzGlHq81LFjR7Rv3x6LFi0CAOh0Onh4eGDMmDGYOHFiheOV+rpIvt5f/YWTaf/f3t0HR1HneRz/zAQzCUiCgZAHEkjwAQwYgnGTg5U9WKPhYfGou+VYVzFyt4opwMKgHliSIAvCgU8ny2LJVQHlXXlad4XnuRQeleJKOWK4QqdOETiiYYPABFiWBMJBzKTvj1zGzRJCOtMzPel+v6rmj8z0dH+/3dOfdPKb7m6J+HL+Z80MR/6zFz3rD1mxceNGbdmyRd98802vpu9tT8F2Q7c+v8uqMiU5ez8Kthu6/fldsvJkkxnj0rRl/j0WzhEwpz9koFlO7Alws2C7oTue36XgjSe9RsIArw6tnt7t2eRmsiJmjmzq6+sVCARUUlISei45OVnFxcWqqamxsTL3am1rj4l/+uBaWz+pV2tbBM4Th22ilYGxtF/v+erMNTfujYZLV9r65QCAJK364CsF26N7mgfryxz2sb5rbW3VwYMHu+Sg1+tVSUkJx4Iu9JulU5U1xBfRZdyaOtCx/+hF/9fU1KSUlBTL5xvn9ejPC6w7w6ooZ4ij96M4r0dv/KzA0nn+6uFCS+cHAIDTxHk9+nr9LCUOMH8Z3Stt7dp/7FzYNcTM0U0gEJAkpaWldXk+LS0t9Fp3rl69qubm5i4PWOPtmuN2l4DraDfYPk4TrQyMtc/NSzZcbu7pdz+P+jKtEmi+ogP156O6TNaXOexjfXfu3DkFg0FTOchxoLPtW14S0YGT0nHpEZs3EI66ujpt2rRJCxcuvO404eTf+p9ad/+Rf/jFJMvmFat+UjBCE7Ot+eb63/2sgPsoAQDQS4fXzNSQBPP36/yXz78Ne9mmBk2WL18uj8fT4+PIkSNhF2XGunXrlJycHHpkZ2dHdflO9tvzl+0uAT1g+0SfEzIw1j43x38X/Xoafv+/UV+mlc5cjO59vlhf5rCPRRfHgc63b3mJxo+IzGU2fnhrakTmC3Tqy7HjyZMnNX36dM2dO1ePP/74decdTv7FD/BqwQ9H9rmvTn/1wxxHn2Xyh/65/N6w5zE+M0l/VjDCgmoAAHAP/6rpGpJobuDksgVXXDB1hLNs2TIdPny4x8fo0aP7VEh6esc3vRobG7s839jYGHqtOytWrFBTU1PoceLEiT4tH9calTLQ7hLQA7ZP9DkhA2Ptc5MzNPr1jLwlMerLtNLwwQlRXR7ryxz2sb4bNmyY4uLiTOUgx4Hu8OGSKfrre3MtnWf8AK/+5Nahls4T+GNmjx1PnTqladOmafLkyXrrrbd6nHe4+Vc1+y5lDYnvU1+SlJ2SqMrZ4/r8/v4mzuvRr38+sc/vHxQfpw+fmmJhRQAAuIe/ytzAyQ9ywr/E6QAzE6empio1NTLfyMrNzVV6erqqq6tVUFAgqePmLLW1tSovL7/u+3w+n3y+yF7v2K3mT8rRL39z2O4y0A2vp2P7ILqckIGxtl8/PzMv6st8bd5EjV/1UdSXa4X0pAQV5Vp/ffOesL7MYR/ru/j4eBUWFqq6ulpz5syR1HEj+Orqai1evLjb93Ac6B4rf5Knv5k+VgWrP9Ll1vDv67bxp/lcIgcRZ+bY8eTJk5o2bZoKCwu1bds2eb09f7/Rivzbt/x+Ff7y3/W7lu9MvW/owAH65Lkfh7Xs/mhmfqYWfnvB9L3LbvJKh1ZPj1BVAAC4g79quiau/ki/v9zW43Qej1Q2OSfs5UXsXNqGhgb5/X41NDQoGAzK7/fL7/fr0qVLoWnGjh2rnTt3SpI8Ho+WLl2qNWvW6IMPPtAXX3yhRx99VJmZmaE/nBFd8QO8Wvgja7/VB2s8PiXXNafC91exmoGxtF/fnzdcifHmr00ZrpsTBig/KzKXeom0VQ/mRf2ffKwvc9jHwlNRUaGtW7dqx44dOnz4sMrLy9XS0qIFCxbYXRpiQPwAr75aPUOvzA3vfgz5WVwiB7Hl5MmTmjp1qkaOHKmXX35ZZ8+eVSAQ6PG+dlY5uPIBU5fAG5cxSAcrSyNYUWxbMTNPv/753b2e/pYEr469NCuCFQEA4B6fV5YqO6Xnq2E8YdH/TE2daWJGZWWlduzYEfp54sSOU1n37t2rqVOnSpKOHj2qpqam0DTPPfecWlpa9MQTT+jChQu69957tXv3biUkRPfSGvjeiv//hqrZb9Mgchb+KDe0XRC7YjkDY2G/vj9vuLY++gPblv/B4il68Fef6L+/7R83jb4pzqNND03U9PEZtiyf9WUO+1jfzZs3T2fPnlVlZaUCgYAKCgq0e/fua24OD3f7i8IszZk4Qh8fPqO//egrHT1zWUYv31tyZ6r+vqwoovUBZu3Zs0d1dXWqq6tTVlZWl9cMo7ef7r77cMkU/av/pJb+k7/HfemNv5ygB+/O6mEKd5iZn6Gvx8/Ufa/8R4/3DiubnK0XH8yPYmUAADjfJ8/9WKv/7ZC2/efxLsctXk/Hl8yt+p+px4jGUVgUNTc3Kzk5WU1NTUpK6p/fjI1FrW3t2vpJnd7eX6/Gi229/sMU4bvJ69HwJJ8eLh6lX0wZzRkmFnJiXpjpKZr7tVfSIF+cZtyVoRcfHB8z336/dKVNS/7xv7S/7ryuxlCweST5Bng1OnWQnnlgrP50TGpMXEYmVteXJPnivLp1eGytr2juY3EeKSnxJpWOS1fV7HE33MecmH+Sc/vCjV1vf4vV3z+wlxOzwoqegu1GaDCy/txlebyxdywSazqPjT795rzaDP5uQ/9ABgJwgta2dr1dc1y/PX9Zo1IGav6knBv+7jWTFQyaAHAtJ+aFE3sCYD2nZoVT+wJgLSdmhRN7AhAZTswLJ/YEwHpmsoKvPgAAAAAAAAAAAIhBEwAAAAAAAAAAAEkRvBG8XTqvNtbc3D9uVgvAPp054aSrFJKBAHrDifknkYEAeseJGUj+AegtMhCAW5nJP8cNmly8eFGSlJ2dbXMlAPqLixcvKjk52e4yLEEGAjDDSfknkYEAzHFSBpJ/AMwiAwG4VW/yz3E3gm9vb9epU6c0ePBgeTyeG07f3Nys7OxsnThxwjU3i6JnenaivvRrGIYuXryozMxMeb3OuFohGXhj9Oz8nt3Wr2S+Zyfmn0QG9obbenZbvxI9uzUDzeaf5L7Pitv6leiZnrtHBvI5oWdnclu/UmTzz3Fnmni9XmVlZZl+X1JSkms+UJ3o2R3c1rPZfp3yzZpOZGDv0bPzua1fyVzPTss/iQw0w209u61fiZ5vxGkZ2Nf8k9z3WXFbvxI9uwUZyDFgb9Cz87mtXyky+eeMIWUAAAAAAAAAAIAwMWgCAAAAAAAAAAAgBk3k8/lUVVUln89ndylRQ8/u4Lae3davVdy43ujZ+dzWr+TOnq3gxvXmtp7d1q9Ez+g9t603t/Ur0bNbuLHncLlxndGz87mtXymyPTvuRvAAAAAAAAAAAAB94fozTQAAAAAAAAAAACQGTQAAAAAAAAAAACQxaAIAAAAAAAAAACCJQRMAAAAAAAAAAABJLh80Wbt2rSZPnqyBAwdqyJAh3U7T0NCgWbNmaeDAgRo+fLieffZZtbW1RbfQCMvJyZHH4+nyWL9+vd1lWWbz5s3KyclRQkKCiouLdeDAAbtLiphVq1Zdsy3Hjh1rd1mW+vjjjzV79mxlZmbK4/Ho/fff7/K6YRiqrKxURkaGEhMTVVJSomPHjtlTbIwjA52ffxIZSAaSgddDBpKBTkMGkoG9Rf51IAOdg/wj/8wgA8k/pyEDI5OBrh40aW1t1dy5c1VeXt7t68FgULNmzVJra6v279+vHTt2aPv27aqsrIxypZG3evVqnT59OvRYsmSJ3SVZ4t1331VFRYWqqqr02WefacKECSotLdWZM2fsLi1ixo0b12Vb7tu3z+6SLNXS0qIJEyZo8+bN3b6+YcMGvfHGG3rzzTdVW1urQYMGqbS0VFeuXIlypbGPDOzg1PyTyEAykAzsCRnYgQx0FjKQDOwN8u97ZKBzkH/kX2+RgR3IP2chAyOQgQaMbdu2GcnJydc8v2vXLsPr9RqBQCD03JYtW4ykpCTj6tWrUawwskaNGmW89tprdpcREUVFRcaiRYtCPweDQSMzM9NYt26djVVFTlVVlTFhwgS7y4gaScbOnTtDP7e3txvp6enGxo0bQ89duHDB8Pl8xjvvvGNDhf2DmzPQyflnGGSg05GB1iADX7O7jIghA52NDAyfm/PPMMhAJyH/yL++cHMGkn/OQgZGJgNdfabJjdTU1Oiuu+5SWlpa6LnS0lI1Nzfr0KFDNlZmvfXr12vo0KGaOHGiNm7c6IjTDltbW3Xw4EGVlJSEnvN6vSopKVFNTY2NlUXWsWPHlJmZqdGjR+vhhx9WQ0OD3SVFTX19vQKBQJdtnpycrOLiYkdv80hxSwY6Mf8kMpAM7EAG9h0Z2L+RgWSgRAb2lVvyTyIDnYT8I/+s4pYMJP+chQy0PgMHWFGcUwUCgS4hKSn0cyAQsKOkiHjqqad09913KyUlRfv379eKFSt0+vRpvfrqq3aXFpZz584pGAx2uw2PHDliU1WRVVxcrO3bt2vMmDE6ffq0XnzxRU2ZMkVffvmlBg8ebHd5Ede5X3a3zZ20z0aLGzLQqfknkYFk4PfIwL4hA/s3MpAM7EQGmueG/JPIQCch/8g/K7khA8k/ZyEDI5OBjjvTZPny5dfc/OaPH07dSf6QmfVQUVGhqVOnKj8/X08++aReeeUVbdq0SVevXrW5C5g1Y8YMzZ07V/n5+SotLdWuXbt04cIFvffee3aXhighA8k/NyMDQQaSgW5GBrob+deBDHQn8g9kIPnnZmRgZDjuTJNly5bpscce63Ga0aNH92pe6enpOnDgQJfnGhsbQ6/FsnDWQ3Fxsdra2nT8+HGNGTMmAtVFx7BhwxQXFxfaZp0aGxtjfvtZZciQIbrjjjtUV1dndylR0bldGxsblZGREXq+sbFRBQUFNlUVXWQg+deJDCQDO5GBXZGBZGAsbz8rkYEK/eyGDCT/OpCBHdyegeSfQj+7If8kMlAi/zq5Pf8kMrBTuBnouEGT1NRUpaamWjKvSZMmae3atTpz5oyGDx8uSdqzZ4+SkpKUl5dnyTIiJZz14Pf75fV6Qz33V/Hx8SosLFR1dbXmzJkjSWpvb1d1dbUWL15sb3FRcunSJX399deaP3++3aVERW5urtLT01VdXR0KxubmZtXW1qq8vNze4qKEDCT/OpGBZKBEBoaDDOzfyEAyUHJXBpJ/HcjADm7PQPLPXfknkYES+dfJ7fknkYGSNRnouEETMxoaGnT+/Hk1NDQoGAzK7/dLkm677TbdfPPNeuCBB5SXl6f58+drw4YNCgQCeuGFF7Ro0SL5fD57i7dITU2NamtrNW3aNA0ePFg1NTV6+umn9cgjj+iWW26xu7ywVVRUqKysTPfcc4+Kior0+uuvq6WlRQsWLLC7tIh45plnNHv2bI0aNUqnTp1SVVWV4uLi9NBDD9ldmmUuXbrUZbS8vr5efr9fKSkpGjlypJYuXao1a9bo9ttvV25urlauXKnMzMzQL0t8z+0Z6PT8k8hAMpAM7AkZSAY6DRlIBvaW2/NPIgOdhvwj/8xwewaSf85DBkYoAw0XKysrMyRd89i7d29omuPHjxszZswwEhMTjWHDhhnLli0zvvvuO/uKttjBgweN4uJiIzk52UhISDDuvPNO46WXXjKuXLlid2mW2bRpkzFy5EgjPj7eKCoqMj799FO7S4qYefPmGRkZGUZ8fLwxYsQIY968eUZdXZ3dZVlq79693e63ZWVlhmEYRnt7u7Fy5UojLS3N8Pl8xn333WccPXrU3qJjlNsz0A35ZxhkIBlIBl4PGUgGOg0ZSAb2ltvzzzDIQKch/8g/M9yegeSf85CBkclAj2EYRt+HXAAAAAAAAAAAAJzBa3cBAAAAAAAAAAAAsYBBEwAAAAAAAAAAADFoAgAAAAAAAAAAIIlBEwAAAAAAAAAAAEkMmgAAAAAAAAAAAEhi0AQAAAAAAAAAAEASgyYAAAAAAAAAAACSGDQBAAAAAAAAAACQxKAJAAAAAAAAAACAJAZNAAAAAAAAAAAAJDFoAgAAAAAAAAAAIIlBEwAAAAAAAAAAAEnS/wHhWZZTnxPY6QAAAABJRU5ErkJggg==", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -3073,29 +2363,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.96, -0.21)\": -1.003, \"(-0.21, -0.13)\": -0.982, \"(-0.13, -0.06)\": -0.929, \"(-0.06, -0.0)\": -0.883, \"(-0.0, 0.03)\": 0.704, \"(0.03, 0.34)\": 0.978, \"(0.34, 9.99)\": 0.998}\n", - "\n" + "Question 21\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, "output_type": "display_data" }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Question 22\n" + ] + }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -3105,29 +2397,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.96, -3.18)\": -1.007, \"(-3.18, -3.09)\": -0.986, \"(-3.09, -3.05)\": -0.941, \"(-3.05, -2.99)\": -0.839, \"(-2.99, -2.56)\": 0.969, \"(-2.56, 9.97)\": 0.99}\n", - "\n" + "Question 23\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, "output_type": "display_data" }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Question 24\n" + ] + }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -3137,29 +2431,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-10.0, 0.81)\": -1.002, \"(0.81, 0.97)\": -0.981, \"(0.97, 0.98)\": -0.928, \"(0.98, 1.0)\": -0.816, \"(1.0, 1.01)\": 0.877, \"(1.01, 1.01)\": 0.914, \"(1.01, 1.04)\": 0.944, \"(1.04, 1.4)\": 0.98, \"(1.4, 9.88)\": 1.001}\n", - "\n" + "Question 25\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, "output_type": "display_data" }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Question 26\n" + ] + }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -3169,29 +2465,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.98, -9.87)\": 9.962, \"(-9.87, -9.75)\": 9.851, \"(-9.75, -9.63)\": 9.743, \"(-9.63, -9.5)\": 9.604, \"(-9.5, -9.38)\": 9.485, \"(-9.38, -9.26)\": 9.362, \"(-9.26, -9.16)\": 9.262, \"(-9.16, -9.02)\": 9.122, \"(-9.02, -8.91)\": 9.01, \"(-8.91, -8.79)\": 8.905, \"(-8.79, -8.66)\": 8.773, \"(-8.66, -8.55)\": 8.655, \"(-8.55, -8.45)\": 8.54, \"(-8.45, -8.34)\": 8.439, \"(-8.34, -8.2)\": 8.319, \"(-8.2, -8.11)\": 8.204, \"(-8.11, -8.0)\": 8.1, \"(-8.0, -7.89)\": 7.986, \"(-7.89, -7.77)\": 7.881, \"(-7.77, -7.66)\": 7.768, \"(-7.66, -7.54)\": 7.645, \"(-7.54, -7.43)\": 7.538, \"(-7.43, -7.34)\": 7.424, \"(-7.34, -7.22)\": 7.322, \"(-7.22, -7.11)\": 7.207, \"(-7.11, -7.01)\": 7.103, \"(-7.01, -6.89)\": 6.987, \"(-6.89, -6.75)\": 6.856, \"(-6.75, -6.66)\": 6.727, \"(-6.66, -6.52)\": 6.618, \"(-6.52, -6.42)\": 6.511, \"(-6.42, -6.3)\": 6.406, \"(-6.3, -6.18)\": 6.284, \"(-6.18, -6.06)\": 6.168, \"(-6.06, -5.94)\": 6.037, \"(-5.94, -5.81)\": 5.919, \"(-5.81, -5.7)\": 5.806, \"(-5.7, -5.58)\": 5.661, \"(-5.58, -5.47)\": 5.561, \"(-5.47, -5.35)\": 5.456, \"(-5.35, -5.25)\": 5.345, \"(-5.25, -5.14)\": 5.226, \"(-5.14, -5.01)\": 5.122, \"(-5.01, -4.92)\": 5.013, \"(-4.92, -4.81)\": 4.897, \"(-4.81, -4.7)\": 4.792, \"(-4.7, -4.58)\": 4.684, \"(-4.58, -4.46)\": 4.555, \"(-4.46, -4.33)\": 4.434, \"(-4.33, -4.2)\": 4.318, \"(-4.2, -4.07)\": 4.17, \"(-4.07, -3.97)\": 4.058, \"(-3.97, -3.85)\": 3.956, \"(-3.85, -3.72)\": 3.826, \"(-3.72, -3.6)\": 3.702, \"(-3.6, -3.5)\": 3.6, \"(-3.5, -3.39)\": 3.492, \"(-3.39, -3.32)\": 3.393, \"(-3.32, -3.2)\": 3.289, \"(-3.2, -3.07)\": 3.167, \"(-3.07, -2.95)\": 3.056, \"(-2.95, -2.85)\": 2.945, \"(-2.85, -2.74)\": 2.824, \"(-2.74, -2.64)\": 2.717, \"(-2.64, -2.5)\": 2.602, \"(-2.5, -2.4)\": 2.493, \"(-2.4, -2.29)\": 2.388, \"(-2.29, -2.19)\": 2.288, \"(-2.19, -2.02)\": 2.161, \"(-2.02, -1.89)\": 1.976, \"(-1.89, -1.77)\": 1.858, \"(-1.77, -1.61)\": 1.719, \"(-1.61, -1.52)\": 1.611, \"(-1.52, -1.39)\": 1.503, \"(-1.39, -1.28)\": 1.385, \"(-1.28, -1.15)\": 1.272, \"(-1.15, -1.02)\": 1.126, \"(-1.02, -0.92)\": 1.008, \"(-0.92, -0.79)\": 0.89, \"(-0.79, -0.66)\": 0.767, \"(-0.66, -0.54)\": 0.643, \"(-0.54, -0.43)\": 0.533, \"(-0.43, -0.3)\": 0.412, \"(-0.3, -0.17)\": 0.287, \"(-0.17, -0.06)\": 0.151, \"(-0.06, 0.15)\": 0.048, \"(0.15, 0.26)\": 0.161, \"(0.26, 0.39)\": 0.266, \"(0.39, 0.51)\": 0.403, \"(0.51, 0.63)\": 0.524, \"(0.63, 0.75)\": 0.654, \"(0.75, 0.86)\": 0.757, \"(0.86, 0.96)\": 0.857, \"(0.96, 1.07)\": 0.974, \"(1.07, 1.16)\": 1.079, \"(1.16, 1.29)\": 1.193, \"(1.29, 1.4)\": 1.316, \"(1.4, 1.53)\": 1.416, \"(1.53, 1.65)\": 1.541, \"(1.65, 1.78)\": 1.672, \"(1.78, 1.9)\": 1.793, \"(1.9, 2.0)\": 1.899, \"(2.0, 2.12)\": 2.006, \"(2.12, 2.25)\": 2.149, \"(2.25, 2.37)\": 2.26, \"(2.37, 2.47)\": 2.366, \"(2.47, 2.6)\": 2.492, \"(2.6, 2.71)\": 2.609, \"(2.71, 2.82)\": 2.717, \"(2.82, 2.91)\": 2.823, \"(2.91, 3.03)\": 2.933, \"(3.03, 3.14)\": 3.055, \"(3.14, 3.29)\": 3.166, \"(3.29, 3.42)\": 3.304, \"(3.42, 3.53)\": 3.431, \"(3.53, 3.64)\": 3.541, \"(3.64, 3.74)\": 3.643, \"(3.74, 3.86)\": 3.753, \"(3.86, 3.99)\": 3.888, \"(3.99, 4.09)\": 3.993, \"(4.09, 4.21)\": 4.097, \"(4.21, 4.3)\": 4.215, \"(4.3, 4.41)\": 4.319, \"(4.41, 4.53)\": 4.427, \"(4.53, 4.63)\": 4.537, \"(4.63, 4.74)\": 4.644, \"(4.74, 4.86)\": 4.756, \"(4.86, 5.01)\": 4.895, \"(5.01, 5.14)\": 5.032, \"(5.14, 5.26)\": 5.152, \"(5.26, 5.36)\": 5.264, \"(5.36, 5.48)\": 5.371, \"(5.48, 5.59)\": 5.488, \"(5.59, 5.72)\": 5.6, \"(5.72, 5.81)\": 5.713, \"(5.81, 5.9)\": 5.817, \"(5.9, 6.04)\": 5.943, \"(6.04, 6.14)\": 6.044, \"(6.14, 6.27)\": 6.147, \"(6.27, 6.4)\": 6.286, \"(6.4, 6.5)\": 6.413, \"(6.5, 6.62)\": 6.516, \"(6.62, 6.72)\": 6.622, \"(6.72, 6.86)\": 6.75, \"(6.86, 6.97)\": 6.867, \"(6.97, 7.08)\": 6.977, \"(7.08, 7.19)\": 7.099, \"(7.19, 7.3)\": 7.203, \"(7.3, 7.42)\": 7.304, \"(7.42, 7.52)\": 7.42, \"(7.52, 7.62)\": 7.53, \"(7.62, 7.75)\": 7.633, \"(7.75, 7.84)\": 7.749, \"(7.84, 7.98)\": 7.858, \"(7.98, 8.11)\": 8.019, \"(8.11, 8.21)\": 8.124, \"(8.21, 8.32)\": 8.224, \"(8.32, 8.44)\": 8.348, \"(8.44, 8.56)\": 8.457, \"(8.56, 8.7)\": 8.588, \"(8.7, 8.81)\": 8.705, \"(8.81, 8.92)\": 8.821, \"(8.92, 9.02)\": 8.928, \"(9.02, 9.15)\": 9.039, \"(9.15, 9.3)\": 9.182, \"(9.3, 9.43)\": 9.322, \"(9.43, 9.53)\": 9.446, \"(9.53, 9.66)\": 9.551, \"(9.66, 9.75)\": 9.664, \"(9.75, 9.87)\": 9.774, \"(9.87, 9.99)\": 9.882, \"(9.99, 10.0)\": 9.993}\n", - "\n" + "Question 27\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, "output_type": "display_data" }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Question 28\n" + ] + }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -3201,17 +2499,79 @@ "name": "stdout", "output_type": "stream", "text": [ - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: x\n", - "Feature Type: continuous\n", - "Means: {\"(-9.99, -9.9)\": -9.994, \"(-9.9, -9.81)\": -9.891, \"(-9.81, -9.69)\": -9.775, \"(-9.69, -9.57)\": -9.656, \"(-9.57, -9.47)\": -9.557, \"(-9.47, -9.33)\": -9.429, \"(-9.33, -9.23)\": -9.326, \"(-9.23, -9.12)\": -9.221, \"(-9.12, -9.02)\": -9.112, \"(-9.02, -8.92)\": -9.012, \"(-8.92, -8.8)\": -8.894, \"(-8.8, -8.64)\": -8.769, \"(-8.64, -8.55)\": -8.638, \"(-8.55, -8.41)\": -8.53, \"(-8.41, -8.3)\": -8.383, \"(-8.3, -8.16)\": -8.27, \"(-8.16, -8.05)\": -8.15, \"(-8.05, -7.93)\": -8.045, \"(-7.93, -7.82)\": -7.91, \"(-7.82, -7.71)\": -7.807, \"(-7.71, -7.6)\": -7.703, \"(-7.6, -7.47)\": -7.569, \"(-7.47, -7.36)\": -7.455, \"(-7.36, -7.27)\": -7.355, \"(-7.27, -7.16)\": -7.247, \"(-7.16, -7.05)\": -7.144, \"(-7.05, -6.92)\": -7.032, \"(-6.92, -6.84)\": -6.922, \"(-6.84, -6.72)\": -6.819, \"(-6.72, -6.62)\": -6.715, \"(-6.62, -6.52)\": -6.612, \"(-6.52, -6.43)\": -6.504, \"(-6.43, -6.31)\": -6.397, \"(-6.31, -6.2)\": -6.294, \"(-6.2, -6.09)\": -6.188, \"(-6.09, -5.99)\": -6.085, \"(-5.99, -5.9)\": -5.985, \"(-5.9, -5.76)\": -5.878, \"(-5.76, -5.6)\": -5.697, \"(-5.6, -5.48)\": -5.578, \"(-5.48, -5.36)\": -5.478, \"(-5.36, -5.26)\": -5.367, \"(-5.26, -5.15)\": -5.245, \"(-5.15, -5.06)\": -5.131, \"(-5.06, -4.91)\": -5.019, \"(-4.91, -4.81)\": -4.916, \"(-4.81, -4.7)\": -4.804, \"(-4.7, -4.6)\": -4.701, \"(-4.6, -4.49)\": -4.589, \"(-4.49, -4.39)\": -4.473, \"(-4.39, -4.26)\": -4.367, \"(-4.26, -4.13)\": -4.239, \"(-4.13, -4.04)\": -4.13, \"(-4.04, -3.91)\": -4.014, \"(-3.91, -3.81)\": -3.905, \"(-3.81, -3.71)\": -3.803, \"(-3.71, -3.59)\": -3.691, \"(-3.59, -3.49)\": -3.58, \"(-3.49, -3.37)\": -3.466, \"(-3.37, -3.26)\": -3.356, \"(-3.26, -3.15)\": -3.233, \"(-3.15, -3.04)\": -3.12, \"(-3.04, -2.93)\": -3.015, \"(-2.93, -2.82)\": -2.912, \"(-2.82, -2.71)\": -2.802, \"(-2.71, -2.59)\": -2.687, \"(-2.59, -2.47)\": -2.576, \"(-2.47, -2.37)\": -2.454, \"(-2.37, -2.21)\": -2.347, \"(-2.21, -2.04)\": -2.139, \"(-2.04, -1.93)\": -2.038, \"(-1.93, -1.82)\": -1.91, \"(-1.82, -1.71)\": -1.806, \"(-1.71, -1.62)\": -1.697, \"(-1.62, -1.5)\": -1.596, \"(-1.5, -1.4)\": -1.496, \"(-1.4, -1.28)\": -1.378, \"(-1.28, -1.18)\": -1.273, \"(-1.18, -1.06)\": -1.159, \"(-1.06, -0.95)\": -1.047, \"(-0.95, -0.84)\": -0.937, \"(-0.84, -0.73)\": -0.833, \"(-0.73, -0.6)\": -0.713, \"(-0.6, -0.45)\": -0.561, \"(-0.45, -0.33)\": -0.426, \"(-0.33, -0.22)\": -0.327, \"(-0.22, -0.1)\": -0.201, \"(-0.1, 0.17)\": -0.067, \"(0.17, 0.28)\": -0.179, \"(0.28, 0.41)\": -0.307, \"(0.41, 0.52)\": -0.415, \"(0.52, 0.63)\": -0.545, \"(0.63, 0.74)\": -0.645, \"(0.74, 0.86)\": -0.751, \"(0.86, 0.99)\": -0.891, \"(0.99, 1.11)\": -1.006, \"(1.11, 1.21)\": -1.125, \"(1.21, 1.32)\": -1.226, \"(1.32, 1.44)\": -1.35, \"(1.44, 1.56)\": -1.459, \"(1.56, 1.68)\": -1.566, \"(1.68, 1.8)\": -1.703, \"(1.8, 1.95)\": -1.827, \"(1.95, 2.08)\": -1.985, \"(2.08, 2.17)\": -2.088, \"(2.17, 2.29)\": -2.19, \"(2.29, 2.43)\": -2.307, \"(2.43, 2.56)\": -2.464, \"(2.56, 2.69)\": -2.592, \"(2.69, 2.79)\": -2.7, \"(2.79, 2.9)\": -2.803, \"(2.9, 3.0)\": -2.905, \"(3.0, 3.12)\": -3.01, \"(3.12, 3.23)\": -3.118, \"(3.23, 3.34)\": -3.237, \"(3.34, 3.44)\": -3.344, \"(3.44, 3.56)\": -3.457, \"(3.56, 3.68)\": -3.582, \"(3.68, 3.8)\": -3.686, \"(3.8, 3.89)\": -3.8, \"(3.89, 4.01)\": -3.903, \"(4.01, 4.11)\": -4.011, \"(4.11, 4.23)\": -4.124, \"(4.23, 4.31)\": -4.228, \"(4.31, 4.43)\": -4.328, \"(4.43, 4.53)\": -4.43, \"(4.53, 4.62)\": -4.535, \"(4.62, 4.75)\": -4.644, \"(4.75, 4.85)\": -4.76, \"(4.85, 4.98)\": -4.865, \"(4.98, 5.1)\": -4.993, \"(5.1, 5.2)\": -5.11, \"(5.2, 5.3)\": -5.216, \"(5.3, 5.43)\": -5.315, \"(5.43, 5.52)\": -5.441, \"(5.52, 5.63)\": -5.543, \"(5.63, 5.77)\": -5.671, \"(5.77, 5.86)\": -5.785, \"(5.86, 5.97)\": -5.885, \"(5.97, 6.09)\": -5.984, \"(6.09, 6.19)\": -6.086, \"(6.19, 6.3)\": -6.21, \"(6.3, 6.43)\": -6.33, \"(6.43, 6.55)\": -6.443, \"(6.55, 6.64)\": -6.566, \"(6.64, 6.76)\": -6.668, \"(6.76, 6.88)\": -6.79, \"(6.88, 6.99)\": -6.893, \"(6.99, 7.1)\": -7.004, \"(7.1, 7.22)\": -7.124, \"(7.22, 7.37)\": -7.255, \"(7.37, 7.48)\": -7.375, \"(7.48, 7.62)\": -7.5, \"(7.62, 7.74)\": -7.64, \"(7.74, 7.85)\": -7.747, \"(7.85, 7.96)\": -7.858, \"(7.96, 8.08)\": -7.99, \"(8.08, 8.19)\": -8.092, \"(8.19, 8.3)\": -8.193, \"(8.3, 8.43)\": -8.318, \"(8.43, 8.56)\": -8.468, \"(8.56, 8.66)\": -8.568, \"(8.66, 8.8)\": -8.687, \"(8.8, 8.91)\": -8.807, \"(8.91, 8.99)\": -8.91, \"(8.99, 9.13)\": -9.02, \"(9.13, 9.24)\": -9.147, \"(9.24, 9.34)\": -9.255, \"(9.34, 9.44)\": -9.357, \"(9.44, 9.58)\": -9.459, \"(9.58, 9.7)\": -9.609, \"(9.7, 9.83)\": -9.719, \"(9.83, 9.94)\": -9.848, \"(9.94, 10.0)\": -9.95}\n", - "\n" + "Question 29\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# first, randomly select the other multiple choice options\n", + "np.random.seed(0)\n", + "fbench_hard_questions = []\n", + "for idx, _ in enumerate(fbench_hard):\n", + " mc_options = [idx]\n", + " # select 4 more random functions\n", + " for _ in range(4):\n", + " random_idx = np.random.randint(0, len(fbench_hard))\n", + " while random_idx in mc_options:\n", + " random_idx = np.random.randint(0, len(fbench_hard))\n", + " mc_options.append(random_idx)\n", + " # shuffle options\n", + " np.random.shuffle(mc_options)\n", + " # store the options and the correct answer\n", + " fbench_hard_questions.append((mc_options, idx))\n", + "\n", + "# plot the 5 functions for each question\n", + "# make a 1x5 grid of plots\n", + "for idx, (options, correct) in enumerate(fbench_hard_questions):\n", + " fig, axes = plt.subplots(1, 5, figsize=(20, 3))\n", + " print('Question ', idx)\n", + " for i, ax in enumerate(axes):\n", + " f, n = fbench_hard[options[i]]\n", + " y = f(x)\n", + " ax.scatter(x, y)\n", + " ax.set_title(n)\n", + " # if it is the correct one, set the title color to red\n", + " if options[i] == correct:\n", + " ax.title.set_color('red')\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Fit EBMs to the functions and convert the EBM graphs to text" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [], + "source": [ + "# run this for hard, otherwise standard\n", + "fbench = fbench_hard\n", + "fbench_questions = fbench_hard_questions" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", "text/plain": [ "
" ] @@ -3221,7 +2581,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3237,13 +2597,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.97, -9.88)\": -9.968, \"(-9.88, -9.77)\": -9.86, \"(-9.77, -9.64)\": -9.756, \"(-9.64, -9.51)\": -9.62, \"(-9.51, -9.41)\": -9.508, \"(-9.41, -9.29)\": -9.395, \"(-9.29, -9.19)\": -9.286, \"(-9.19, -9.11)\": -9.182, \"(-9.11, -8.98)\": -9.076, \"(-8.98, -8.85)\": -8.956, \"(-8.85, -8.73)\": -8.835, \"(-8.73, -8.62)\": -8.723, \"(-8.62, -8.49)\": -8.579, \"(-8.49, -8.38)\": -8.473, \"(-8.38, -8.27)\": -8.369, \"(-8.27, -8.16)\": -8.265, \"(-8.16, -8.03)\": -8.125, \"(-8.03, -7.91)\": -8.011, \"(-7.91, -7.8)\": -7.899, \"(-7.8, -7.69)\": -7.795, \"(-7.69, -7.6)\": -7.678, \"(-7.6, -7.45)\": -7.569, \"(-7.45, -7.36)\": -7.449, \"(-7.36, -7.25)\": -7.349, \"(-7.25, -7.15)\": -7.239, \"(-7.15, -7.0)\": -7.099, \"(-7.0, -6.88)\": -6.983, \"(-6.88, -6.77)\": -6.866, \"(-6.77, -6.69)\": -6.76, \"(-6.69, -6.56)\": -6.66, \"(-6.56, -6.44)\": -6.535, \"(-6.44, -6.34)\": -6.431, \"(-6.34, -6.23)\": -6.329, \"(-6.23, -6.12)\": -6.225, \"(-6.12, -6.02)\": -6.123, \"(-6.02, -5.91)\": -6.009, \"(-5.91, -5.77)\": -5.888, \"(-5.77, -5.68)\": -5.771, \"(-5.68, -5.57)\": -5.667, \"(-5.57, -5.46)\": -5.562, \"(-5.46, -5.37)\": -5.459, \"(-5.37, -5.26)\": -5.357, \"(-5.26, -5.13)\": -5.246, \"(-5.13, -5.0)\": -5.111, \"(-5.0, -4.93)\": -5.005, \"(-4.93, -4.8)\": -4.9, \"(-4.8, -4.67)\": -4.787, \"(-4.67, -4.57)\": -4.669, \"(-4.57, -4.48)\": -4.564, \"(-4.48, -4.36)\": -4.464, \"(-4.36, -4.24)\": -4.336, \"(-4.24, -4.13)\": -4.235, \"(-4.13, -4.02)\": -4.122, \"(-4.02, -3.88)\": -3.98, \"(-3.88, -3.73)\": -3.847, \"(-3.73, -3.61)\": -3.692, \"(-3.61, -3.48)\": -3.579, \"(-3.48, -3.38)\": -3.476, \"(-3.38, -3.26)\": -3.373, \"(-3.26, -3.15)\": -3.237, \"(-3.15, -3.02)\": -3.122, \"(-3.02, -2.91)\": -3.016, \"(-2.91, -2.79)\": -2.898, \"(-2.79, -2.67)\": -2.765, \"(-2.67, -2.57)\": -2.664, \"(-2.57, -2.47)\": -2.561, \"(-2.47, -2.34)\": -2.455, \"(-2.34, -2.25)\": -2.34, \"(-2.25, -2.14)\": -2.235, \"(-2.14, -2.02)\": -2.134, \"(-2.02, -1.92)\": -2.004, \"(-1.92, -1.81)\": -1.903, \"(-1.81, -1.71)\": -1.798, \"(-1.71, -1.6)\": -1.697, \"(-1.6, -1.48)\": -1.581, \"(-1.48, -1.36)\": -1.468, \"(-1.36, -1.26)\": -1.362, \"(-1.26, -1.14)\": -1.25, \"(-1.14, -1.03)\": -1.125, \"(-1.03, -0.92)\": -1.022, \"(-0.92, -0.83)\": -0.917, \"(-0.83, -0.72)\": -0.816, \"(-0.72, -0.58)\": -0.69, \"(-0.58, -0.49)\": -0.562, \"(-0.49, -0.37)\": -0.455, \"(-0.37, -0.25)\": -0.352, \"(-0.25, -0.13)\": -0.23, \"(-0.13, 0.21)\": -0.112, \"(0.21, 0.33)\": -0.219, \"(0.33, 0.47)\": -0.372, \"(0.47, 0.57)\": -0.474, \"(0.57, 0.69)\": -0.577, \"(0.69, 0.8)\": -0.694, \"(0.8, 0.91)\": -0.813, \"(0.91, 1.02)\": -0.921, \"(1.02, 1.13)\": -1.035, \"(1.13, 1.24)\": -1.138, \"(1.24, 1.37)\": -1.267, \"(1.37, 1.5)\": -1.374, \"(1.5, 1.64)\": -1.535, \"(1.64, 1.78)\": -1.649, \"(1.78, 1.91)\": -1.819, \"(1.91, 2.03)\": -1.925, \"(2.03, 2.11)\": -2.031, \"(2.11, 2.22)\": -2.132, \"(2.22, 2.33)\": -2.234, \"(2.33, 2.45)\": -2.337, \"(2.45, 2.59)\": -2.493, \"(2.59, 2.72)\": -2.603, \"(2.72, 2.82)\": -2.714, \"(2.82, 2.92)\": -2.827, \"(2.92, 3.05)\": -2.94, \"(3.05, 3.21)\": -3.091, \"(3.21, 3.31)\": -3.209, \"(3.31, 3.41)\": -3.311, \"(3.41, 3.51)\": -3.414, \"(3.51, 3.63)\": -3.523, \"(3.63, 3.73)\": -3.636, \"(3.73, 3.86)\": -3.741, \"(3.86, 3.97)\": -3.878, \"(3.97, 4.09)\": -3.997, \"(4.09, 4.2)\": -4.099, \"(4.2, 4.31)\": -4.211, \"(4.31, 4.41)\": -4.323, \"(4.41, 4.53)\": -4.429, \"(4.53, 4.65)\": -4.573, \"(4.65, 4.79)\": -4.685, \"(4.79, 4.88)\": -4.798, \"(4.88, 5.01)\": -4.899, \"(5.01, 5.12)\": -5.015, \"(5.12, 5.24)\": -5.121, \"(5.24, 5.34)\": -5.246, \"(5.34, 5.42)\": -5.354, \"(5.42, 5.56)\": -5.456, \"(5.56, 5.66)\": -5.562, \"(5.66, 5.77)\": -5.663, \"(5.77, 5.88)\": -5.774, \"(5.88, 5.97)\": -5.881, \"(5.97, 6.09)\": -5.99, \"(6.09, 6.2)\": -6.1, \"(6.2, 6.31)\": -6.22, \"(6.31, 6.46)\": -6.33, \"(6.46, 6.59)\": -6.484, \"(6.59, 6.7)\": -6.585, \"(6.7, 6.79)\": -6.706, \"(6.79, 6.93)\": -6.813, \"(6.93, 7.03)\": -6.945, \"(7.03, 7.14)\": -7.051, \"(7.14, 7.24)\": -7.151, \"(7.24, 7.33)\": -7.255, \"(7.33, 7.45)\": -7.36, \"(7.45, 7.57)\": -7.469, \"(7.57, 7.68)\": -7.596, \"(7.68, 7.8)\": -7.698, \"(7.8, 7.91)\": -7.801, \"(7.91, 8.03)\": -7.931, \"(8.03, 8.13)\": -8.041, \"(8.13, 8.27)\": -8.164, \"(8.27, 8.38)\": -8.28, \"(8.38, 8.49)\": -8.383, \"(8.49, 8.61)\": -8.507, \"(8.61, 8.73)\": -8.627, \"(8.73, 8.83)\": -8.746, \"(8.83, 8.96)\": -8.855, \"(8.96, 9.05)\": -8.957, \"(9.05, 9.17)\": -9.072, \"(9.17, 9.28)\": -9.189, \"(9.28, 9.39)\": -9.302, \"(9.39, 9.5)\": -9.402, \"(9.5, 9.62)\": -9.505, \"(9.62, 9.74)\": -9.638, \"(9.74, 9.85)\": -9.742, \"(9.85, 9.94)\": -9.849, \"(9.94, 9.99)\": -9.957}\n", + "Means: {\"(-9.99, -9.87)\": -1.497, \"(-9.87, -9.71)\": -1.461, \"(-9.71, -9.58)\": -1.423, \"(-9.58, -9.45)\": -1.393, \"(-9.45, -9.32)\": -1.358, \"(-9.32, -9.17)\": -1.326, \"(-9.17, -9.05)\": -1.287, \"(-9.05, -8.9)\": -1.257, \"(-8.9, -8.79)\": -1.223, \"(-8.79, -8.67)\": -1.193, \"(-8.67, -8.54)\": -1.163, \"(-8.54, -8.38)\": -1.126, \"(-8.38, -8.25)\": -1.095, \"(-8.25, -8.13)\": -1.054, \"(-8.13, -7.97)\": -1.023, \"(-7.97, -7.84)\": -0.989, \"(-7.84, -7.72)\": -0.958, \"(-7.72, -7.6)\": -0.927, \"(-7.6, -7.49)\": -0.896, \"(-7.49, -7.35)\": -0.866, \"(-7.35, -7.24)\": -0.836, \"(-7.24, -7.13)\": -0.806, \"(-7.13, -7.0)\": -0.776, \"(-7.0, -6.84)\": -0.746, \"(-6.84, -6.72)\": -0.707, \"(-6.72, -6.59)\": -0.676, \"(-6.59, -6.44)\": -0.643, \"(-6.44, -6.29)\": -0.608, \"(-6.29, -6.12)\": -0.574, \"(-6.12, -5.97)\": -0.521, \"(-5.97, -5.82)\": -0.485, \"(-5.82, -5.69)\": -0.453, \"(-5.69, -5.57)\": -0.422, \"(-5.57, -5.44)\": -0.39, \"(-5.44, -5.31)\": -0.356, \"(-5.31, -5.17)\": -0.322, \"(-5.17, -5.05)\": -0.291, \"(-5.05, -4.92)\": -0.26, \"(-4.92, -4.8)\": -0.228, \"(-4.8, -4.67)\": -0.196, \"(-4.67, -4.54)\": -0.162, \"(-4.54, -4.4)\": -0.131, \"(-4.4, -4.25)\": -0.097, \"(-4.25, -4.14)\": -0.066, \"(-4.14, -4.02)\": -0.035, \"(-4.02, -3.89)\": -0.002, \"(-3.89, -3.73)\": 0.034, \"(-3.73, -3.59)\": 0.071, \"(-3.59, -3.46)\": 0.103, \"(-3.46, -3.33)\": 0.137, \"(-3.33, -3.19)\": 0.168, \"(-3.19, -3.05)\": 0.203, \"(-3.05, -2.94)\": 0.235, \"(-2.94, -2.79)\": 0.265, \"(-2.79, -2.67)\": 0.296, \"(-2.67, -2.52)\": 0.328, \"(-2.52, -2.37)\": 0.36, \"(-2.37, -2.19)\": 0.395, \"(-2.19, -2.01)\": 0.431, \"(-2.01, -1.83)\": 0.463, \"(-1.83, -1.56)\": 0.494, \"(-1.56, -0.93)\": 0.527, \"(-0.93, -0.81)\": 0.497, \"(-0.81, -0.66)\": 0.462, \"(-0.66, -0.52)\": 0.385, \"(-0.52, -0.44)\": 0.336, \"(-0.44, -0.37)\": 0.299, \"(-0.37, -0.31)\": 0.248, \"(-0.31, -0.26)\": 0.217, \"(-0.26, -0.2)\": 0.182, \"(-0.2, -0.16)\": 0.144, \"(-0.16, -0.1)\": 0.111, \"(-0.1, -0.04)\": 0.06, \"(-0.04, -0.01)\": 0.026, \"(-0.01, 0.09)\": -0.014, \"(0.09, 0.17)\": -0.087, \"(0.17, 0.26)\": -0.143, \"(0.26, 0.33)\": -0.206, \"(0.33, 0.39)\": -0.244, \"(0.39, 0.46)\": -0.278, \"(0.46, 0.53)\": -0.325, \"(0.53, 0.59)\": -0.357, \"(0.59, 0.68)\": -0.393, \"(0.68, 0.78)\": -0.427, \"(0.78, 0.96)\": -0.472, \"(0.96, 1.89)\": -0.509, \"(1.89, 2.1)\": -0.476, \"(2.1, 2.27)\": -0.443, \"(2.27, 2.42)\": -0.412, \"(2.42, 2.57)\": -0.379, \"(2.57, 2.71)\": -0.346, \"(2.71, 2.85)\": -0.312, \"(2.85, 2.99)\": -0.268, \"(2.99, 3.16)\": -0.236, \"(3.16, 3.29)\": -0.201, \"(3.29, 3.45)\": -0.167, \"(3.45, 3.57)\": -0.134, \"(3.57, 3.72)\": -0.103, \"(3.72, 3.88)\": -0.061, \"(3.88, 3.99)\": -0.029, \"(3.99, 4.12)\": 0.002, \"(4.12, 4.24)\": 0.034, \"(4.24, 4.39)\": 0.068, \"(4.39, 4.52)\": 0.1, \"(4.52, 4.65)\": 0.132, \"(4.65, 4.79)\": 0.167, \"(4.79, 4.94)\": 0.199, \"(4.94, 5.08)\": 0.241, \"(5.08, 5.24)\": 0.275, \"(5.24, 5.41)\": 0.32, \"(5.41, 5.52)\": 0.352, \"(5.52, 5.65)\": 0.384, \"(5.65, 5.79)\": 0.415, \"(5.79, 5.92)\": 0.449, \"(5.92, 6.03)\": 0.482, \"(6.03, 6.17)\": 0.515, \"(6.17, 6.3)\": 0.546, \"(6.3, 6.43)\": 0.577, \"(6.43, 6.55)\": 0.608, \"(6.55, 6.65)\": 0.639, \"(6.65, 6.82)\": 0.67, \"(6.82, 6.96)\": 0.71, \"(6.96, 7.09)\": 0.743, \"(7.09, 7.23)\": 0.776, \"(7.23, 7.35)\": 0.808, \"(7.35, 7.48)\": 0.842, \"(7.48, 7.6)\": 0.872, \"(7.6, 7.73)\": 0.903, \"(7.73, 7.85)\": 0.935, \"(7.85, 8.01)\": 0.972, \"(8.01, 8.14)\": 1.007, \"(8.14, 8.28)\": 1.038, \"(8.28, 8.42)\": 1.073, \"(8.42, 8.55)\": 1.106, \"(8.55, 8.67)\": 1.139, \"(8.67, 8.81)\": 1.172, \"(8.81, 8.93)\": 1.202, \"(8.93, 9.06)\": 1.236, \"(9.06, 9.2)\": 1.269, \"(9.2, 9.33)\": 1.303, \"(9.33, 9.47)\": 1.335, \"(9.47, 9.59)\": 1.368, \"(9.59, 9.73)\": 1.4, \"(9.73, 9.86)\": 1.436, \"(9.86, 10.0)\": 1.471}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3253,7 +2613,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3269,13 +2629,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.98, -9.86)\": 14.94, \"(-9.86, -9.72)\": 14.69, \"(-9.72, -9.58)\": 14.43, \"(-9.58, -9.42)\": 14.12, \"(-9.42, -9.28)\": 13.8, \"(-9.28, -9.16)\": 13.53, \"(-9.16, -9.0)\": 13.25, \"(-9.0, -8.87)\": 12.97, \"(-8.87, -8.73)\": 12.72, \"(-8.73, -8.61)\": 12.44, \"(-8.61, -8.47)\": 12.17, \"(-8.47, -8.33)\": 11.92, \"(-8.33, -8.2)\": 11.65, \"(-8.2, -8.08)\": 11.38, \"(-8.08, -7.91)\": 11.13, \"(-7.91, -7.76)\": 10.78, \"(-7.76, -7.66)\": 10.52, \"(-7.66, -7.51)\": 10.26, \"(-7.51, -7.41)\": 10.0, \"(-7.41, -7.23)\": 9.73, \"(-7.23, -7.09)\": 9.42, \"(-7.09, -6.95)\": 9.13, \"(-6.95, -6.79)\": 8.86, \"(-6.79, -6.63)\": 8.49, \"(-6.63, -6.49)\": 8.24, \"(-6.49, -6.36)\": 7.96, \"(-6.36, -6.25)\": 7.7, \"(-6.25, -6.09)\": 7.44, \"(-6.09, -5.96)\": 7.18, \"(-5.96, -5.82)\": 6.89, \"(-5.82, -5.68)\": 6.6, \"(-5.68, -5.53)\": 6.32, \"(-5.53, -5.39)\": 6.03, \"(-5.39, -5.25)\": 5.77, \"(-5.25, -5.1)\": 5.49, \"(-5.1, -5.0)\": 5.21, \"(-5.0, -4.84)\": 4.92, \"(-4.84, -4.69)\": 4.64, \"(-4.69, -4.57)\": 4.36, \"(-4.57, -4.43)\": 4.1, \"(-4.43, -4.31)\": 3.84, \"(-4.31, -4.16)\": 3.59, \"(-4.16, -4.03)\": 3.33, \"(-4.03, -3.91)\": 3.04, \"(-3.91, -3.77)\": 2.78, \"(-3.77, -3.64)\": 2.51, \"(-3.64, -3.49)\": 2.24, \"(-3.49, -3.36)\": 1.97, \"(-3.36, -3.23)\": 1.71, \"(-3.23, -3.09)\": 1.43, \"(-3.09, -2.96)\": 1.17, \"(-2.96, -2.83)\": 0.89, \"(-2.83, -2.69)\": 0.62, \"(-2.69, -2.55)\": 0.37, \"(-2.55, -2.31)\": 0.1, \"(-2.31, -2.2)\": 0.38, \"(-2.2, -2.05)\": 0.63, \"(-2.05, -1.93)\": 0.92, \"(-1.93, -1.77)\": 1.18, \"(-1.77, -1.62)\": 1.51, \"(-1.62, -1.48)\": 1.78, \"(-1.48, -1.33)\": 2.03, \"(-1.33, -1.18)\": 2.38, \"(-1.18, -1.04)\": 2.66, \"(-1.04, -0.89)\": 2.92, \"(-0.89, -0.77)\": 3.25, \"(-0.77, -0.6)\": 3.54, \"(-0.6, -0.46)\": 3.83, \"(-0.46, -0.33)\": 4.1, \"(-0.33, -0.21)\": 4.36, \"(-0.21, -0.06)\": 4.61, \"(-0.06, 0.1)\": 4.94, \"(0.1, 0.23)\": 5.22, \"(0.23, 0.38)\": 5.49, \"(0.38, 0.5)\": 5.76, \"(0.5, 0.65)\": 6.06, \"(0.65, 0.81)\": 6.35, \"(0.81, 0.94)\": 6.64, \"(0.94, 1.08)\": 6.89, \"(1.08, 1.21)\": 7.19, \"(1.21, 1.36)\": 7.46, \"(1.36, 1.5)\": 7.76, \"(1.5, 1.64)\": 8.01, \"(1.64, 1.78)\": 8.29, \"(1.78, 1.91)\": 8.57, \"(1.91, 2.04)\": 8.83, \"(2.04, 2.17)\": 9.08, \"(2.17, 2.31)\": 9.36, \"(2.31, 2.44)\": 9.62, \"(2.44, 2.58)\": 9.9, \"(2.58, 2.7)\": 10.17, \"(2.7, 2.82)\": 10.42, \"(2.82, 2.94)\": 10.67, \"(2.94, 3.05)\": 10.93, \"(3.05, 3.21)\": 11.18, \"(3.21, 3.35)\": 11.47, \"(3.35, 3.48)\": 11.72, \"(3.48, 3.63)\": 11.99, \"(3.63, 3.78)\": 12.28, \"(3.78, 3.91)\": 12.57, \"(3.91, 4.04)\": 12.84, \"(4.04, 4.16)\": 13.11, \"(4.16, 4.31)\": 13.37, \"(4.31, 4.45)\": 13.66, \"(4.45, 4.59)\": 13.91, \"(4.59, 4.73)\": 14.21, \"(4.73, 4.86)\": 14.49, \"(4.86, 5.0)\": 14.76, \"(5.0, 5.15)\": 15.05, \"(5.15, 5.29)\": 15.32, \"(5.29, 5.42)\": 15.6, \"(5.42, 5.55)\": 15.86, \"(5.55, 5.69)\": 16.14, \"(5.69, 5.85)\": 16.45, \"(5.85, 6.01)\": 16.75, \"(6.01, 6.13)\": 17.02, \"(6.13, 6.27)\": 17.3, \"(6.27, 6.42)\": 17.59, \"(6.42, 6.54)\": 17.85, \"(6.54, 6.69)\": 18.12, \"(6.69, 6.79)\": 18.38, \"(6.79, 6.93)\": 18.64, \"(6.93, 7.06)\": 18.89, \"(7.06, 7.19)\": 19.14, \"(7.19, 7.33)\": 19.4, \"(7.33, 7.46)\": 19.66, \"(7.46, 7.6)\": 19.91, \"(7.6, 7.75)\": 20.25, \"(7.75, 7.89)\": 20.52, \"(7.89, 8.02)\": 20.81, \"(8.02, 8.17)\": 21.08, \"(8.17, 8.32)\": 21.38, \"(8.32, 8.45)\": 21.64, \"(8.45, 8.57)\": 21.91, \"(8.57, 8.7)\": 22.17, \"(8.7, 8.84)\": 22.43, \"(8.84, 8.97)\": 22.68, \"(8.97, 9.08)\": 22.94, \"(9.08, 9.2)\": 23.19, \"(9.2, 9.34)\": 23.45, \"(9.34, 9.48)\": 23.71, \"(9.48, 9.62)\": 23.99, \"(9.62, 9.76)\": 24.26, \"(9.76, 9.89)\": 24.53, \"(9.89, 9.99)\": 24.82}\n", + "Means: {\"(-10.0, -9.95)\": -0.937, \"(-9.95, -9.89)\": -0.986, \"(-9.89, -9.82)\": -1.035, \"(-9.82, -9.77)\": -1.088, \"(-9.77, -9.69)\": -1.157, \"(-9.69, -9.62)\": -1.211, \"(-9.62, -9.54)\": -1.282, \"(-9.54, -9.46)\": -1.374, \"(-9.46, -9.41)\": -1.434, \"(-9.41, -9.34)\": -1.493, \"(-9.34, -9.29)\": -1.55, \"(-9.29, -9.23)\": -1.603, \"(-9.23, -9.16)\": -1.671, \"(-9.16, -9.1)\": -1.729, \"(-9.1, -9.05)\": -1.79, \"(-9.05, -8.95)\": -1.854, \"(-8.95, -8.88)\": -1.932, \"(-8.88, -8.78)\": -2.008, \"(-8.78, -8.72)\": -2.07, \"(-8.72, -8.63)\": -2.119, \"(-8.63, -8.59)\": -2.172, \"(-8.59, -8.46)\": -2.221, \"(-8.46, -8.36)\": -2.284, \"(-8.36, -8.22)\": -2.334, \"(-8.22, -7.43)\": -2.403, \"(-7.43, -7.32)\": -2.339, \"(-7.32, -7.22)\": -2.288, \"(-7.22, -7.15)\": -2.231, \"(-7.15, -7.06)\": -2.178, \"(-7.06, -6.98)\": -2.126, \"(-6.98, -6.92)\": -2.068, \"(-6.92, -6.85)\": -2.018, \"(-6.85, -6.78)\": -1.935, \"(-6.78, -6.72)\": -1.883, \"(-6.72, -6.66)\": -1.832, \"(-6.66, -6.61)\": -1.78, \"(-6.61, -6.56)\": -1.73, \"(-6.56, -6.52)\": -1.68, \"(-6.52, -6.45)\": -1.63, \"(-6.45, -6.38)\": -1.569, \"(-6.38, -6.32)\": -1.506, \"(-6.32, -6.27)\": -1.445, \"(-6.27, -6.2)\": -1.381, \"(-6.2, -6.12)\": -1.301, \"(-6.12, -6.07)\": -1.246, \"(-6.07, -6.01)\": -1.187, \"(-6.01, -5.95)\": -1.121, \"(-5.95, -5.89)\": -1.066, \"(-5.89, -5.83)\": -1.002, \"(-5.83, -5.77)\": -0.948, \"(-5.77, -5.7)\": -0.886, \"(-5.7, -5.61)\": -0.819, \"(-5.61, -5.53)\": -0.764, \"(-5.53, -5.45)\": -0.698, \"(-5.45, -5.38)\": -0.647, \"(-5.38, -5.27)\": -0.592, \"(-5.27, -5.16)\": -0.529, \"(-5.16, -4.97)\": -0.463, \"(-4.97, -4.21)\": -0.406, \"(-4.21, -4.08)\": -0.477, \"(-4.08, -4.0)\": -0.526, \"(-4.0, -3.92)\": -0.576, \"(-3.92, -3.84)\": -0.629, \"(-3.84, -3.76)\": -0.681, \"(-3.76, -3.68)\": -0.74, \"(-3.68, -3.62)\": -0.798, \"(-3.62, -3.52)\": -0.853, \"(-3.52, -3.44)\": -0.945, \"(-3.44, -3.36)\": -1.011, \"(-3.36, -3.29)\": -1.081, \"(-3.29, -3.17)\": -1.174, \"(-3.17, -3.11)\": -1.246, \"(-3.11, -3.04)\": -1.298, \"(-3.04, -2.97)\": -1.365, \"(-2.97, -2.89)\": -1.443, \"(-2.89, -2.83)\": -1.493, \"(-2.83, -2.77)\": -1.545, \"(-2.77, -2.67)\": -1.622, \"(-2.67, -2.59)\": -1.683, \"(-2.59, -2.5)\": -1.738, \"(-2.5, -2.42)\": -1.795, \"(-2.42, -2.33)\": -1.846, \"(-2.33, -2.22)\": -1.9, \"(-2.22, -2.07)\": -1.95, \"(-2.07, -1.45)\": -2.0, \"(-1.45, -1.33)\": -1.95, \"(-1.33, -1.22)\": -1.884, \"(-1.22, -1.09)\": -1.771, \"(-1.09, -1.0)\": -1.691, \"(-1.0, -0.93)\": -1.59, \"(-0.93, -0.86)\": -1.537, \"(-0.86, -0.81)\": -1.462, \"(-0.81, -0.77)\": -1.395, \"(-0.77, -0.74)\": -1.341, \"(-0.74, -0.67)\": -1.286, \"(-0.67, -0.56)\": -1.135, \"(-0.56, -0.51)\": -1.01, \"(-0.51, -0.47)\": -0.948, \"(-0.47, -0.43)\": -0.888, \"(-0.43, -0.37)\": -0.768, \"(-0.37, -0.35)\": -0.712, \"(-0.35, -0.3)\": -0.65, \"(-0.3, -0.25)\": -0.544, \"(-0.25, -0.22)\": -0.482, \"(-0.22, -0.18)\": -0.407, \"(-0.18, -0.16)\": -0.348, \"(-0.16, -0.12)\": -0.274, \"(-0.12, -0.09)\": -0.221, \"(-0.09, -0.04)\": -0.115, \"(-0.04, -0.01)\": -0.059, \"(-0.01, 0.04)\": 0.029, \"(0.04, 0.09)\": 0.083, \"(0.09, 0.19)\": 0.268, \"(0.19, 0.27)\": 0.47, \"(0.27, 0.32)\": 0.557, \"(0.32, 0.35)\": 0.627, \"(0.35, 0.39)\": 0.707, \"(0.39, 0.43)\": 0.774, \"(0.43, 0.5)\": 0.867, \"(0.5, 0.56)\": 0.994, \"(0.56, 0.6)\": 1.053, \"(0.6, 0.66)\": 1.143, \"(0.66, 0.7)\": 1.228, \"(0.7, 0.75)\": 1.277, \"(0.75, 0.8)\": 1.339, \"(0.8, 0.83)\": 1.4, \"(0.83, 0.9)\": 1.472, \"(0.9, 0.95)\": 1.53, \"(0.95, 1.0)\": 1.587, \"(1.0, 1.06)\": 1.648, \"(1.06, 1.12)\": 1.704, \"(1.12, 1.2)\": 1.753, \"(1.2, 1.28)\": 1.814, \"(1.28, 1.41)\": 1.884, \"(1.41, 1.55)\": 1.949, \"(1.55, 2.2)\": 1.998, \"(2.2, 2.32)\": 1.945, \"(2.32, 2.41)\": 1.895, \"(2.41, 2.5)\": 1.841, \"(2.5, 2.63)\": 1.76, \"(2.63, 2.72)\": 1.661, \"(2.72, 2.83)\": 1.591, \"(2.83, 2.9)\": 1.516, \"(2.9, 2.95)\": 1.465, \"(2.95, 3.04)\": 1.401, \"(3.04, 3.1)\": 1.333, \"(3.1, 3.18)\": 1.274, \"(3.18, 3.24)\": 1.211, \"(3.24, 3.31)\": 1.158, \"(3.31, 3.36)\": 1.105, \"(3.36, 3.43)\": 1.054, \"(3.43, 3.49)\": 1.002, \"(3.49, 3.55)\": 0.939, \"(3.55, 3.64)\": 0.887, \"(3.64, 3.72)\": 0.808, \"(3.72, 3.81)\": 0.756, \"(3.81, 3.92)\": 0.665, \"(3.92, 3.99)\": 0.615, \"(3.99, 4.1)\": 0.565, \"(4.1, 4.22)\": 0.51, \"(4.22, 4.39)\": 0.45, \"(4.39, 5.06)\": 0.395, \"(5.06, 5.2)\": 0.45, \"(5.2, 5.32)\": 0.505, \"(5.32, 5.4)\": 0.57, \"(5.4, 5.48)\": 0.62, \"(5.48, 5.53)\": 0.678, \"(5.53, 5.62)\": 0.731, \"(5.62, 5.7)\": 0.783, \"(5.7, 5.78)\": 0.863, \"(5.78, 5.84)\": 0.919, \"(5.84, 5.89)\": 0.981, \"(5.89, 5.97)\": 1.038, \"(5.97, 6.03)\": 1.102, \"(6.03, 6.08)\": 1.16, \"(6.08, 6.14)\": 1.22, \"(6.14, 6.18)\": 1.278, \"(6.18, 6.27)\": 1.331, \"(6.27, 6.34)\": 1.431, \"(6.34, 6.4)\": 1.482, \"(6.4, 6.45)\": 1.54, \"(6.45, 6.51)\": 1.601, \"(6.51, 6.56)\": 1.651, \"(6.56, 6.62)\": 1.705, \"(6.62, 6.65)\": 1.758, \"(6.65, 6.74)\": 1.811, \"(6.74, 6.81)\": 1.865, \"(6.81, 6.87)\": 1.928, \"(6.87, 6.93)\": 1.989, \"(6.93, 7.0)\": 2.042, \"(7.0, 7.09)\": 2.094, \"(7.09, 7.22)\": 2.181, \"(7.22, 7.31)\": 2.24, \"(7.31, 7.44)\": 2.296, \"(7.44, 7.62)\": 2.36, \"(7.62, 8.29)\": 2.413, \"(8.29, 8.42)\": 2.352, \"(8.42, 8.51)\": 2.289, \"(8.51, 8.6)\": 2.24, \"(8.6, 8.69)\": 2.184, \"(8.69, 8.8)\": 2.117, \"(8.8, 8.89)\": 2.022, \"(8.89, 8.95)\": 1.97, \"(8.95, 9.04)\": 1.902, \"(9.04, 9.14)\": 1.786, \"(9.14, 9.2)\": 1.734, \"(9.2, 9.24)\": 1.677, \"(9.24, 9.32)\": 1.619, \"(9.32, 9.39)\": 1.558, \"(9.39, 9.46)\": 1.483, \"(9.46, 9.54)\": 1.413, \"(9.54, 9.63)\": 1.325, \"(9.63, 9.69)\": 1.253, \"(9.69, 9.74)\": 1.188, \"(9.74, 9.83)\": 1.127, \"(9.83, 9.9)\": 1.054, \"(9.9, 9.97)\": 0.996}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3285,7 +2645,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3301,13 +2661,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.98, -9.94)\": 992.1, \"(-9.94, -9.91)\": 981.3, \"(-9.91, -9.84)\": 966.9, \"(-9.84, -9.75)\": 941.2, \"(-9.75, -9.68)\": 921.0, \"(-9.68, -9.62)\": 903.2, \"(-9.62, -9.58)\": 889.3, \"(-9.58, -9.52)\": 871.0, \"(-9.52, -9.46)\": 859.2, \"(-9.46, -9.42)\": 840.9, \"(-9.42, -9.34)\": 830.0, \"(-9.34, -9.29)\": 810.8, \"(-9.29, -9.24)\": 798.9, \"(-9.24, -9.16)\": 786.8, \"(-9.16, -9.07)\": 759.6, \"(-9.07, -9.01)\": 742.5, \"(-9.01, -8.97)\": 731.2, \"(-8.97, -8.88)\": 712.4, \"(-8.88, -8.83)\": 700.8, \"(-8.83, -8.78)\": 687.3, \"(-8.78, -8.75)\": 675.9, \"(-8.75, -8.71)\": 665.8, \"(-8.71, -8.64)\": 655.7, \"(-8.64, -8.57)\": 641.1, \"(-8.57, -8.5)\": 623.1, \"(-8.5, -8.42)\": 610.7, \"(-8.42, -8.37)\": 592.9, \"(-8.37, -8.31)\": 581.4, \"(-8.31, -8.23)\": 570.8, \"(-8.23, -8.17)\": 554.0, \"(-8.17, -8.11)\": 544.1, \"(-8.11, -8.05)\": 531.6, \"(-8.05, -8.0)\": 520.7, \"(-8.0, -7.94)\": 510.0, \"(-7.94, -7.88)\": 498.9, \"(-7.88, -7.82)\": 487.5, \"(-7.82, -7.75)\": 474.8, \"(-7.75, -7.67)\": 462.0, \"(-7.67, -7.59)\": 448.4, \"(-7.59, -7.54)\": 435.9, \"(-7.54, -7.47)\": 426.0, \"(-7.47, -7.39)\": 415.3, \"(-7.39, -7.35)\": 404.8, \"(-7.35, -7.25)\": 393.2, \"(-7.25, -7.2)\": 380.0, \"(-7.2, -7.11)\": 369.5, \"(-7.11, -7.05)\": 358.8, \"(-7.05, -6.96)\": 346.5, \"(-6.96, -6.89)\": 336.4, \"(-6.89, -6.79)\": 323.9, \"(-6.79, -6.72)\": 311.4, \"(-6.72, -6.63)\": 301.3, \"(-6.63, -6.55)\": 291.2, \"(-6.55, -6.44)\": 277.2, \"(-6.44, -6.34)\": 265.9, \"(-6.34, -6.25)\": 253.9, \"(-6.25, -6.15)\": 242.7, \"(-6.15, -6.04)\": 231.3, \"(-6.04, -5.95)\": 219.6, \"(-5.95, -5.84)\": 208.6, \"(-5.84, -5.73)\": 198.7, \"(-5.73, -5.58)\": 185.3, \"(-5.58, -5.46)\": 173.0, \"(-5.46, -5.33)\": 161.3, \"(-5.33, -5.19)\": 150.9, \"(-5.19, -5.07)\": 140.7, \"(-5.07, -4.89)\": 127.5, \"(-4.89, -4.75)\": 116.6, \"(-4.75, -4.6)\": 106.2, \"(-4.6, -4.42)\": 96.0, \"(-4.42, -4.21)\": 84.8, \"(-4.21, -3.99)\": 74.2, \"(-3.99, -3.81)\": 64.2, \"(-3.81, -3.55)\": 54.3, \"(-3.55, -3.23)\": 43.7, \"(-3.23, -2.89)\": 33.6, \"(-2.89, -2.38)\": 23.5, \"(-2.38, -1.4)\": 13.1, \"(-1.4, 2.35)\": 3.1, \"(2.35, 2.82)\": 13.3, \"(2.82, 3.22)\": 23.3, \"(3.22, 3.5)\": 33.7, \"(3.5, 3.76)\": 43.8, \"(3.76, 3.99)\": 53.9, \"(3.99, 4.19)\": 64.0, \"(4.19, 4.39)\": 74.4, \"(4.39, 4.56)\": 85.5, \"(4.56, 4.74)\": 97.1, \"(4.74, 4.9)\": 107.4, \"(4.9, 5.08)\": 120.9, \"(5.08, 5.21)\": 131.0, \"(5.21, 5.33)\": 141.9, \"(5.33, 5.47)\": 152.6, \"(5.47, 5.6)\": 165.5, \"(5.6, 5.75)\": 178.6, \"(5.75, 5.86)\": 191.8, \"(5.86, 5.96)\": 202.0, \"(5.96, 6.09)\": 214.1, \"(6.09, 6.16)\": 225.7, \"(6.16, 6.27)\": 236.9, \"(6.27, 6.38)\": 249.6, \"(6.38, 6.48)\": 261.3, \"(6.48, 6.57)\": 273.0, \"(6.57, 6.64)\": 284.2, \"(6.64, 6.74)\": 295.6, \"(6.74, 6.85)\": 309.3, \"(6.85, 6.92)\": 321.3, \"(6.92, 6.99)\": 333.9, \"(6.99, 7.09)\": 346.5, \"(7.09, 7.16)\": 356.9, \"(7.16, 7.24)\": 368.1, \"(7.24, 7.3)\": 380.0, \"(7.3, 7.4)\": 391.5, \"(7.4, 7.48)\": 408.3, \"(7.48, 7.55)\": 418.4, \"(7.55, 7.64)\": 433.7, \"(7.64, 7.72)\": 449.1, \"(7.72, 7.78)\": 461.9, \"(7.78, 7.85)\": 474.0, \"(7.85, 7.9)\": 484.7, \"(7.9, 7.96)\": 495.7, \"(7.96, 8.03)\": 507.8, \"(8.03, 8.08)\": 519.1, \"(8.08, 8.17)\": 531.7, \"(8.17, 8.24)\": 546.6, \"(8.24, 8.28)\": 558.9, \"(8.28, 8.35)\": 568.9, \"(8.35, 8.42)\": 587.4, \"(8.42, 8.47)\": 599.5, \"(8.47, 8.52)\": 611.3, \"(8.52, 8.61)\": 628.5, \"(8.61, 8.64)\": 638.9, \"(8.64, 8.68)\": 648.9, \"(8.68, 8.74)\": 662.5, \"(8.74, 8.82)\": 673.4, \"(8.82, 8.88)\": 688.1, \"(8.88, 8.97)\": 701.6, \"(8.97, 9.06)\": 733.9, \"(9.06, 9.11)\": 745.8, \"(9.11, 9.14)\": 757.9, \"(9.14, 9.19)\": 769.2, \"(9.19, 9.25)\": 780.0, \"(9.25, 9.31)\": 796.1, \"(9.31, 9.35)\": 810.4, \"(9.35, 9.4)\": 825.3, \"(9.4, 9.47)\": 835.8, \"(9.47, 9.55)\": 858.9, \"(9.55, 9.6)\": 877.5, \"(9.6, 9.63)\": 887.9, \"(9.63, 9.69)\": 900.6, \"(9.69, 9.75)\": 913.3, \"(9.75, 9.8)\": 930.6, \"(9.8, 9.84)\": 941.0, \"(9.84, 9.88)\": 954.0, \"(9.88, 9.91)\": 968.1}\n", + "Means: {\"(-9.98, -9.87)\": 3.314, \"(-9.87, -9.79)\": 3.286, \"(-9.79, -9.7)\": 3.26, \"(-9.7, -9.59)\": 3.228, \"(-9.59, -9.49)\": 3.187, \"(-9.49, -9.4)\": 3.159, \"(-9.4, -9.31)\": 3.131, \"(-9.31, -9.23)\": 3.099, \"(-9.23, -9.14)\": 3.072, \"(-9.14, -9.04)\": 3.044, \"(-9.04, -8.97)\": 3.012, \"(-8.97, -8.86)\": 2.985, \"(-8.86, -8.77)\": 2.949, \"(-8.77, -8.7)\": 2.916, \"(-8.7, -8.58)\": 2.887, \"(-8.58, -8.47)\": 2.855, \"(-8.47, -8.39)\": 2.825, \"(-8.39, -8.3)\": 2.795, \"(-8.3, -8.22)\": 2.762, \"(-8.22, -8.14)\": 2.735, \"(-8.14, -8.05)\": 2.708, \"(-8.05, -7.97)\": 2.681, \"(-7.97, -7.89)\": 2.653, \"(-7.89, -7.8)\": 2.624, \"(-7.8, -7.7)\": 2.591, \"(-7.7, -7.61)\": 2.564, \"(-7.61, -7.52)\": 2.532, \"(-7.52, -7.42)\": 2.504, \"(-7.42, -7.33)\": 2.473, \"(-7.33, -7.26)\": 2.445, \"(-7.26, -7.18)\": 2.415, \"(-7.18, -7.06)\": 2.387, \"(-7.06, -6.97)\": 2.347, \"(-6.97, -6.86)\": 2.314, \"(-6.86, -6.76)\": 2.279, \"(-6.76, -6.68)\": 2.252, \"(-6.68, -6.54)\": 2.222, \"(-6.54, -6.4)\": 2.16, \"(-6.4, -6.29)\": 2.128, \"(-6.29, -6.21)\": 2.096, \"(-6.21, -6.13)\": 2.067, \"(-6.13, -6.04)\": 2.04, \"(-6.04, -5.94)\": 2.01, \"(-5.94, -5.85)\": 1.977, \"(-5.85, -5.75)\": 1.943, \"(-5.75, -5.63)\": 1.907, \"(-5.63, -5.51)\": 1.87, \"(-5.51, -5.39)\": 1.824, \"(-5.39, -5.3)\": 1.787, \"(-5.3, -5.22)\": 1.761, \"(-5.22, -5.12)\": 1.733, \"(-5.12, -5.04)\": 1.705, \"(-5.04, -4.96)\": 1.676, \"(-4.96, -4.85)\": 1.648, \"(-4.85, -4.76)\": 1.616, \"(-4.76, -4.67)\": 1.581, \"(-4.67, -4.59)\": 1.554, \"(-4.59, -4.49)\": 1.525, \"(-4.49, -4.4)\": 1.493, \"(-4.4, -4.31)\": 1.463, \"(-4.31, -4.24)\": 1.436, \"(-4.24, -4.15)\": 1.408, \"(-4.15, -4.06)\": 1.377, \"(-4.06, -3.97)\": 1.35, \"(-3.97, -3.9)\": 1.323, \"(-3.9, -3.79)\": 1.295, \"(-3.79, -3.7)\": 1.259, \"(-3.7, -3.59)\": 1.231, \"(-3.59, -3.49)\": 1.185, \"(-3.49, -3.39)\": 1.156, \"(-3.39, -3.3)\": 1.129, \"(-3.3, -3.21)\": 1.098, \"(-3.21, -3.12)\": 1.068, \"(-3.12, -3.05)\": 1.037, \"(-3.05, -2.95)\": 1.008, \"(-2.95, -2.86)\": 0.981, \"(-2.86, -2.77)\": 0.95, \"(-2.77, -2.68)\": 0.923, \"(-2.68, -2.59)\": 0.894, \"(-2.59, -2.49)\": 0.86, \"(-2.49, -2.36)\": 0.824, \"(-2.36, -2.26)\": 0.796, \"(-2.26, -2.15)\": 0.767, \"(-2.15, -1.99)\": 0.74, \"(-1.99, -1.62)\": 0.714, \"(-1.62, -1.54)\": 0.743, \"(-1.54, -1.49)\": 0.773, \"(-1.49, -1.42)\": 0.805, \"(-1.42, -1.38)\": 0.845, \"(-1.38, -1.33)\": 0.89, \"(-1.33, -1.3)\": 0.92, \"(-1.3, -1.26)\": 0.953, \"(-1.26, -1.22)\": 0.999, \"(-1.22, -1.16)\": 1.05, \"(-1.16, -1.1)\": 1.15, \"(-1.1, -1.07)\": 1.205, \"(-1.07, -1.04)\": 1.246, \"(-1.04, -1.02)\": 1.278, \"(-1.02, -0.98)\": 1.312, \"(-0.98, -0.94)\": 1.42, \"(-0.94, -0.92)\": 1.45, \"(-0.92, -0.9)\": 1.484, \"(-0.9, -0.87)\": 1.528, \"(-0.87, -0.84)\": 1.609, \"(-0.84, -0.81)\": 1.64, \"(-0.81, -0.77)\": 1.724, \"(-0.77, -0.75)\": 1.763, \"(-0.75, -0.72)\": 1.8, \"(-0.72, -0.7)\": 1.875, \"(-0.7, -0.69)\": 1.906, \"(-0.69, -0.67)\": 1.94, \"(-0.67, -0.65)\": 1.982, \"(-0.65, -0.61)\": 2.029, \"(-0.61, -0.58)\": 2.12, \"(-0.58, -0.56)\": 2.153, \"(-0.56, -0.54)\": 2.189, \"(-0.54, -0.51)\": 2.248, \"(-0.51, -0.48)\": 2.284, \"(-0.48, -0.45)\": 2.359, \"(-0.45, -0.4)\": 2.392, \"(-0.4, -0.37)\": 2.475, \"(-0.37, -0.33)\": 2.517, \"(-0.33, -0.26)\": 2.578, \"(-0.26, -0.19)\": 2.652, \"(-0.19, 0.19)\": 2.699, \"(0.19, 0.26)\": 2.672, \"(0.26, 0.31)\": 2.592, \"(0.31, 0.35)\": 2.55, \"(0.35, 0.37)\": 2.502, \"(0.37, 0.45)\": 2.452, \"(0.45, 0.53)\": 2.255, \"(0.53, 0.55)\": 2.226, \"(0.55, 0.57)\": 2.174, \"(0.57, 0.59)\": 2.129, \"(0.59, 0.61)\": 2.088, \"(0.61, 0.63)\": 2.059, \"(0.63, 0.66)\": 2.033, \"(0.66, 0.69)\": 1.939, \"(0.69, 0.72)\": 1.91, \"(0.72, 0.77)\": 1.796, \"(0.77, 0.8)\": 1.746, \"(0.8, 0.81)\": 1.692, \"(0.81, 0.83)\": 1.666, \"(0.83, 0.85)\": 1.637, \"(0.85, 0.89)\": 1.592, \"(0.89, 0.94)\": 1.482, \"(0.94, 0.98)\": 1.405, \"(0.98, 1.02)\": 1.321, \"(1.02, 1.05)\": 1.284, \"(1.05, 1.11)\": 1.23, \"(1.11, 1.16)\": 1.115, \"(1.16, 1.19)\": 1.082, \"(1.19, 1.22)\": 1.054, \"(1.22, 1.26)\": 1.009, \"(1.26, 1.32)\": 0.952, \"(1.32, 1.38)\": 0.893, \"(1.38, 1.42)\": 0.862, \"(1.42, 1.48)\": 0.829, \"(1.48, 1.54)\": 0.791, \"(1.54, 1.63)\": 0.761, \"(1.63, 2.22)\": 0.733, \"(2.22, 2.33)\": 0.759, \"(2.33, 2.44)\": 0.791, \"(2.44, 2.55)\": 0.824, \"(2.55, 2.67)\": 0.867, \"(2.67, 2.76)\": 0.896, \"(2.76, 2.83)\": 0.923, \"(2.83, 2.98)\": 0.967, \"(2.98, 3.09)\": 0.993, \"(3.09, 3.21)\": 1.042, \"(3.21, 3.29)\": 1.071, \"(3.29, 3.34)\": 1.098, \"(3.34, 3.45)\": 1.124, \"(3.45, 3.58)\": 1.157, \"(3.58, 3.69)\": 1.202, \"(3.69, 3.78)\": 1.234, \"(3.78, 3.86)\": 1.262, \"(3.86, 3.95)\": 1.289, \"(3.95, 4.03)\": 1.318, \"(4.03, 4.13)\": 1.346, \"(4.13, 4.27)\": 1.395, \"(4.27, 4.36)\": 1.427, \"(4.36, 4.46)\": 1.456, \"(4.46, 4.53)\": 1.49, \"(4.53, 4.64)\": 1.52, \"(4.64, 4.72)\": 1.55, \"(4.72, 4.81)\": 1.578, \"(4.81, 4.91)\": 1.611, \"(4.91, 4.99)\": 1.638, \"(4.99, 5.08)\": 1.669, \"(5.08, 5.16)\": 1.695, \"(5.16, 5.25)\": 1.723, \"(5.25, 5.33)\": 1.757, \"(5.33, 5.46)\": 1.792, \"(5.46, 5.53)\": 1.819, \"(5.53, 5.62)\": 1.845, \"(5.62, 5.73)\": 1.883, \"(5.73, 5.82)\": 1.916, \"(5.82, 5.92)\": 1.942, \"(5.92, 6.01)\": 1.976, \"(6.01, 6.08)\": 2.004, \"(6.08, 6.17)\": 2.033, \"(6.17, 6.27)\": 2.063, \"(6.27, 6.36)\": 2.093, \"(6.36, 6.43)\": 2.121, \"(6.43, 6.52)\": 2.147, \"(6.52, 6.61)\": 2.176, \"(6.61, 6.7)\": 2.205, \"(6.7, 6.81)\": 2.241, \"(6.81, 6.91)\": 2.277, \"(6.91, 7.01)\": 2.305, \"(7.01, 7.09)\": 2.341, \"(7.09, 7.18)\": 2.373, \"(7.18, 7.28)\": 2.399, \"(7.28, 7.37)\": 2.437, \"(7.37, 7.48)\": 2.466, \"(7.48, 7.58)\": 2.501, \"(7.58, 7.65)\": 2.527, \"(7.65, 7.75)\": 2.555, \"(7.75, 7.83)\": 2.585, \"(7.83, 7.92)\": 2.613, \"(7.92, 8.03)\": 2.642, \"(8.03, 8.1)\": 2.675, \"(8.1, 8.2)\": 2.705, \"(8.2, 8.29)\": 2.734, \"(8.29, 8.37)\": 2.765, \"(8.37, 8.45)\": 2.792, \"(8.45, 8.53)\": 2.82, \"(8.53, 8.63)\": 2.846, \"(8.63, 8.71)\": 2.88, \"(8.71, 8.8)\": 2.906, \"(8.8, 8.89)\": 2.938, \"(8.89, 8.97)\": 2.969, \"(8.97, 9.07)\": 2.996, \"(9.07, 9.15)\": 3.025, \"(9.15, 9.24)\": 3.055, \"(9.24, 9.33)\": 3.083, \"(9.33, 9.42)\": 3.11, \"(9.42, 9.51)\": 3.143, \"(9.51, 9.6)\": 3.175, \"(9.6, 9.69)\": 3.202, \"(9.69, 9.8)\": 3.24, \"(9.8, 9.88)\": 3.27, \"(9.88, 9.98)\": 3.297, \"(9.98, 10.0)\": 3.329}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3317,7 +2677,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3333,13 +2693,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.96, -9.93)\": 0.217, \"(-9.93, -9.91)\": 0.272, \"(-9.91, -9.87)\": 0.331, \"(-9.87, -9.82)\": 0.383, \"(-9.82, -9.77)\": 0.433, \"(-9.77, -9.72)\": 0.501, \"(-9.72, -9.63)\": 0.57, \"(-9.63, -9.57)\": 0.617, \"(-9.57, -9.52)\": 0.666, \"(-9.52, -9.42)\": 0.711, \"(-9.42, -9.29)\": 0.796, \"(-9.29, -9.18)\": 0.854, \"(-9.18, -9.06)\": 0.921, \"(-9.06, -8.96)\": 0.977, \"(-8.96, -8.86)\": 1.027, \"(-8.86, -8.75)\": 1.073, \"(-8.75, -8.63)\": 1.131, \"(-8.63, -8.53)\": 1.175, \"(-8.53, -8.42)\": 1.218, \"(-8.42, -8.27)\": 1.269, \"(-8.27, -8.17)\": 1.316, \"(-8.17, -8.03)\": 1.36, \"(-8.03, -7.89)\": 1.405, \"(-7.89, -7.74)\": 1.453, \"(-7.74, -7.54)\": 1.515, \"(-7.54, -7.36)\": 1.583, \"(-7.36, -7.21)\": 1.627, \"(-7.21, -7.06)\": 1.671, \"(-7.06, -6.91)\": 1.715, \"(-6.91, -6.74)\": 1.763, \"(-6.74, -6.54)\": 1.81, \"(-6.54, -6.37)\": 1.865, \"(-6.37, -6.19)\": 1.909, \"(-6.19, -5.99)\": 1.958, \"(-5.99, -5.78)\": 2.01, \"(-5.78, -5.61)\": 2.056, \"(-5.61, -5.38)\": 2.106, \"(-5.38, -5.18)\": 2.154, \"(-5.18, -4.99)\": 2.197, \"(-4.99, -4.78)\": 2.246, \"(-4.78, -4.55)\": 2.29, \"(-4.55, -4.33)\": 2.336, \"(-4.33, -4.13)\": 2.38, \"(-4.13, -3.92)\": 2.425, \"(-3.92, -3.67)\": 2.469, \"(-3.67, -3.4)\": 2.52, \"(-3.4, -3.15)\": 2.576, \"(-3.15, -2.9)\": 2.619, \"(-2.9, -2.67)\": 2.665, \"(-2.67, -2.46)\": 2.708, \"(-2.46, -2.19)\": 2.752, \"(-2.19, -1.92)\": 2.799, \"(-1.92, -1.64)\": 2.846, \"(-1.64, -1.4)\": 2.891, \"(-1.4, -1.11)\": 2.936, \"(-1.11, -0.84)\": 2.982, \"(-0.84, -0.59)\": 3.026, \"(-0.59, -0.32)\": 3.069, \"(-0.32, -0.04)\": 3.113, \"(-0.04, 0.22)\": 3.155, \"(0.22, 0.49)\": 3.198, \"(0.49, 0.77)\": 3.242, \"(0.77, 1.1)\": 3.289, \"(1.1, 1.39)\": 3.333, \"(1.39, 1.68)\": 3.376, \"(1.68, 2.01)\": 3.424, \"(2.01, 2.32)\": 3.468, \"(2.32, 2.62)\": 3.511, \"(2.62, 2.93)\": 3.554, \"(2.93, 3.25)\": 3.597, \"(3.25, 3.58)\": 3.644, \"(3.58, 3.95)\": 3.688, \"(3.95, 4.22)\": 3.731, \"(4.22, 4.59)\": 3.775, \"(4.59, 4.88)\": 3.818, \"(4.88, 5.19)\": 3.861, \"(5.19, 5.54)\": 3.904, \"(5.54, 5.9)\": 3.947, \"(5.9, 6.28)\": 3.99, \"(6.28, 6.63)\": 4.033, \"(6.63, 6.96)\": 4.077, \"(6.96, 7.32)\": 4.121, \"(7.32, 7.71)\": 4.165, \"(7.71, 8.05)\": 4.209, \"(8.05, 8.44)\": 4.253, \"(8.44, 8.82)\": 4.296, \"(8.82, 9.21)\": 4.339, \"(9.21, 9.6)\": 4.383, \"(9.6, 9.97)\": 4.427, \"(9.97, 10.0)\": 4.47}\n", + "Means: {\"(-10.0, -9.96)\": 76762.2, \"(-9.96, -9.95)\": 75826.3, \"(-9.95, -9.92)\": 74501.1, \"(-9.92, -9.9)\": 72352.3, \"(-9.9, -9.89)\": 71545.1, \"(-9.89, -9.86)\": 70589.9, \"(-9.86, -9.83)\": 68904.8, \"(-9.83, -9.8)\": 67406.0, \"(-9.8, -9.78)\": 66299.7, \"(-9.78, -9.76)\": 65251.4, \"(-9.76, -9.74)\": 64255.3, \"(-9.74, -9.71)\": 63153.3, \"(-9.71, -9.67)\": 61481.3, \"(-9.67, -9.64)\": 59819.7, \"(-9.64, -9.62)\": 58864.1, \"(-9.62, -9.6)\": 58094.2, \"(-9.6, -9.56)\": 56863.7, \"(-9.56, -9.52)\": 54777.6, \"(-9.52, -9.48)\": 53718.5, \"(-9.48, -9.45)\": 51928.8, \"(-9.45, -9.42)\": 51156.2, \"(-9.42, -9.39)\": 50275.9, \"(-9.39, -9.36)\": 48774.3, \"(-9.36, -9.31)\": 47849.6, \"(-9.31, -9.27)\": 46019.8, \"(-9.27, -9.24)\": 45048.1, \"(-9.24, -9.2)\": 44105.6, \"(-9.2, -9.18)\": 43202.1, \"(-9.18, -9.12)\": 42291.4, \"(-9.12, -9.07)\": 40595.1, \"(-9.07, -9.01)\": 39726.1, \"(-9.01, -8.94)\": 37459.5, \"(-8.94, -8.9)\": 36449.7, \"(-8.9, -8.86)\": 35523.8, \"(-8.86, -8.82)\": 34709.8, \"(-8.82, -8.77)\": 33793.2, \"(-8.77, -8.71)\": 32831.1, \"(-8.71, -8.62)\": 31553.8, \"(-8.62, -8.53)\": 29741.5, \"(-8.53, -8.45)\": 28577.6, \"(-8.45, -8.39)\": 27344.1, \"(-8.39, -8.31)\": 26410.3, \"(-8.31, -8.25)\": 25638.1, \"(-8.25, -8.18)\": 24769.7, \"(-8.18, -8.09)\": 23915.2, \"(-8.09, -8.03)\": 23144.7, \"(-8.03, -7.95)\": 22297.7, \"(-7.95, -7.85)\": 21471.0, \"(-7.85, -7.78)\": 20459.8, \"(-7.78, -7.61)\": 19638.1, \"(-7.61, -7.51)\": 18780.6, \"(-7.51, -7.38)\": 17823.0, \"(-7.38, -7.21)\": 16937.3, \"(-7.21, -7.07)\": 16031.2, \"(-7.07, -6.89)\": 15191.4, \"(-6.89, -6.71)\": 14370.6, \"(-6.71, -6.5)\": 13563.6, \"(-6.5, -6.27)\": 12769.0, \"(-6.27, -6.04)\": 11991.5, \"(-6.04, -5.75)\": 11223.4, \"(-5.75, -5.47)\": 10376.6, \"(-5.47, -5.18)\": 9580.6, \"(-5.18, -4.84)\": 8777.4, \"(-4.84, -4.49)\": 7970.2, \"(-4.49, -4.12)\": 7193.5, \"(-4.12, -3.75)\": 6409.5, \"(-3.75, -3.37)\": 5614.4, \"(-3.37, -3.0)\": 4824.7, \"(-3.0, -2.63)\": 4041.4, \"(-2.63, -2.22)\": 3260.8, \"(-2.22, -1.84)\": 2459.3, \"(-1.84, -1.44)\": 1663.4, \"(-1.44, -0.21)\": 852.4, \"(-0.21, 0.19)\": 1621.4, \"(0.19, 0.61)\": 2438.7, \"(0.61, 1.04)\": 3335.7, \"(1.04, 1.43)\": 4109.2, \"(1.43, 1.83)\": 4884.6, \"(1.83, 2.22)\": 5680.0, \"(2.22, 2.62)\": 6478.2, \"(2.62, 3.0)\": 7255.7, \"(3.0, 3.4)\": 8037.9, \"(3.4, 3.79)\": 8809.3, \"(3.79, 4.18)\": 9617.6, \"(4.18, 4.58)\": 10397.9, \"(4.58, 4.96)\": 11169.9, \"(4.96, 5.37)\": 11961.8, \"(5.37, 5.75)\": 12757.4, \"(5.75, 6.14)\": 13523.9, \"(6.14, 6.57)\": 14321.3, \"(6.57, 6.95)\": 15120.8, \"(6.95, 7.35)\": 15925.7, \"(7.35, 7.73)\": 16706.7, \"(7.73, 8.12)\": 17484.6, \"(8.12, 8.56)\": 18305.9, \"(8.56, 8.92)\": 19074.1, \"(8.92, 9.32)\": 19849.3, \"(9.32, 9.72)\": 20660.9, \"(9.72, 10.0)\": 21449.9}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3349,7 +2709,7 @@ }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiIAAAHHCAYAAACC1TOGAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAtzklEQVR4nO3de3xU9Z3/8fcESEiABAKBEAkBooIoAsKShe1PoUa5VaFbQVhqgQVahXqDUsm2EhE0gigq6yJ9aMEVH7Z4KVQrUlCw1SByVbkpsNwhXCXhmoHk+/uDZsokM5OZSWbOmZnX8/GYR2XmzMz3cIx59/v5fL/HYYwxAgAAsECc1QMAAACxiyACAAAsQxABAACWIYgAAADLEEQAAIBlCCIAAMAyBBEAAGAZgggAALAMQQQAAFiGIAIgpM6ePavmzZvrzTfftHooNTJs2DANHTrU6mEAUYcgAqBGCgsL9cQTT+j06dMeX3/xxRfVqFEjDRs2LGxj+vLLLzV+/Hh169ZN9erVk8Ph8Hn8a6+9phtuuEH169fXddddp7lz51Y55rHHHtO7776rr776KlTDBmISQQRAjRQWFmratGkeg8ilS5f04osvauzYsapTp07YxvThhx/q1VdflcPhULt27XweO3/+fI0dO1Y33nij5s6dq549e+qhhx7SzJkz3Y7r2rWrunfvrueeey6UQwdiDkEEQFDOnTtX7TEffPCBjh8/XqslDYfDoYULF/o85oEHHlBxcbHWr1+vO+64w+txFy5c0G9+8xsNHDhQ77zzjsaNG6f//d//1YgRIzR9+nR9//33bscPHTpU7733ns6ePVsbpwJABBEgahUVFWn06NFq1aqVEhIS1LJlSw0aNEh79+51HWOM0YwZM9SqVSslJSWpT58+2rp1q9q0aaNRo0a5jlu4cKEcDoc+/fRTjR8/Xs2bN1erVq30xBNPaPLkyZKktm3byuFwyOFwuL5jyZIlatOmjbKzs12fdezYMaWlpal37966+ubfu3btUoMGDXTvvffW+NxbtGihxMTEao9btWqVTp48qfHjx7s9P2HCBJ07d05/+ctf3J6/4447dO7cOa1YsaLGYwRwRV2rBwAgNH7yk59o69atevDBB9WmTRsdO3ZMK1as0P79+9WmTRtJ0tSpUzVjxgwNGDBAAwYM0MaNG3XnnXfK6XR6/Mzx48crLS1NU6dO1blz59S/f3999913euuttzRnzhw1a9ZMkpSWlibpStnmlltucfuM5s2ba968eRoyZIjmzp2rhx56SOXl5Ro1apQaNWqk//mf/wndX0olmzZtkiR1797d7flu3bopLi5OmzZt0k9/+lPX8x07dlRiYqI+//xz/fjHPw7bOIFoRhABotDp06dVWFioZ599Vr/61a9cz+fl5bn++fjx45o1a5YGDhyo999/39XQ+Zvf/EZPP/20x89NTU3Vxx9/7Nbvccstt+itt97S4MGDXQFHki5fvqzdu3dr0KBBVT7nnnvu0fDhw5WXl6f+/ftr6dKl+vzzz7VkyRI1bdq0pqfvtyNHjqhOnTpq3ry52/Px8fFq2rSpDh8+7PZ83bp1lZmZqW3btoVtjEC0ozQDRKHExETFx8dr9erVVfocKqxcuVJOp1MPPvig26qSRx55xOvnjhs3zu+m01OnTskYoyZNmnh8/b//+7+VkpKie+65R48//rjuu+++KqHl/PnzOnHihNtDurIk+OrnvJ1jdS5cuKD4+HiPr9WvX18XLlyo8nyTJk1c4wBQcwQRIMI5nU4VFRW5PerWrauZM2dq2bJlatGihW699VbNmjVLRUVFrvft27dPknTddde5fV5aWprX8NC2bduAx3d1H8jVUlNT9dJLL+nrr79WSkqKXnrppSrHzJo1S2lpaW4PSXrwwQfdnuvatWvA45KuBDZvZaiLFy967DMxxlS7HBiA/yjNABGusLBQffr0cXtuz549euSRR3TXXXdpyZIlWr58uR5//HEVFBTok08+qdEvbn+lpqbK4XD4nK1Yvny5JOn777/XwYMH1bhxY7fXf/azn+kHP/iB23N33HGHJk+erDvvvDOocV2tZcuWKisr07Fjx9zKM06nUydPnlRGRkaV93z//fdVwhuA4BFEgAjXuXPnKqs40tPTJUnZ2dmaNGmSJk2apJ07d6pLly567rnntGjRImVlZUmSdu7c6bbXxvHjxwMqdXibHahbt66ys7O1Z88ej69/9NFHevXVV/XrX/9ab775pkaOHKm1a9eqbt1//mepXbt2HvcB6dixo3Jzc/0eozddunSRJK1fv14DBgxwPb9+/XqVl5e7Xq9w+fJlHThwQHfffXeNvxvAFZRmgAjXpEkT5ebmuj3Ky8t18eJFt+Oys7PVqFEjlZaWSpJyc3NVr149zZ0716188sILLwT0/Q0aNJAkjxua9ezZU+vXr6/y/OnTpzV27Fj16NFDTz/9tF599VVt3LjRa5NsqPzwhz9Uamqq5s2b5/b8vHnzlJSUpIEDB7o9v23bNl28eFG9evUK5zCBqMaMCBCFvvvuO91+++0aOnSoOnbsqLp16+pPf/qTjh496tpqPS0tTb/61a9UUFCgH/3oRxowYIA2bdqkZcuWuZbh+qNbt26Srqy2GTZsmOrVq6e77rpLDRo00KBBg/TGG2/ou+++0/XXX+96z8MPP6yTJ09q5cqVqlOnjvr166exY8dqxowZGjRokDp37lyj89+3b5/eeOMNSXIFoRkzZkiSsrKydN9990m6UtKZPn26JkyYoCFDhqhv3776+9//rkWLFumpp55Samqq2+euWLFCSUlJPjdJAxAgAyDqnDhxwkyYMMF06NDBNGjQwKSkpJicnByzePFit+PKysrMtGnTTMuWLU1iYqLp3bu32bJli8nKyjIjR450HbdgwQIjyaxbt87j902fPt1cc801Ji4uzkgye/bsMcYYU1paapo1a2amT5/uOnbp0qVGknnuuefcPqOkpMRkZWWZzp07G6fT6fXcJJkFCxb4PP9Vq1YZSR4ft912W5Xjf/e735n27dub+Ph4k52dbebMmWPKy8urHJeTk2N++tOf+vxuAIFxGOOlpR1AzGrTpo169+5d7Vbq/pg+fboWLFignTt3hvV+M7Vt8+bNuuWWW7Rx48YqvSMAgkePCICQevTRR3X27Fn94Q9/sHooNfLMM8/onnvuIYQAtYweEQAh1bBhQx07dszqYdRYpAcpwK6YEQEAAJahRwQAAFiGGREAAGAZgggAALCMrZtVy8vLdfjwYTVq1IibTAEAECGMMTpz5owyMjIUF+d7zsPWQeTw4cPKzMy0ehgAACAIBw4cUKtWrXweY+sg0qhRI0lXTiQ5Odni0QAAAH+UlJQoMzPT9XvcF1sHkYpyTHJyMkEEAIAI409bBc2qAADAMgQRAABgGYIIAACwTFiCyMsvv6w2bdqofv36ysnJ0ZdffhmOrwUAADYX8iDyxz/+URMnTlR+fr42btyozp07q2/fvlFxEywAAFAzIQ8izz//vMaNG6fRo0erY8eOeuWVV5SUlKTf//73of5qAABgcyENIk6nUxs2bFBubu4/vzAuTrm5uVqzZk2V40tLS1VSUuL2AAAA0SukQeTEiRMqKytTixYt3J5v0aKFioqKqhxfUFCglJQU14NdVQEAiG62WjWTl5en4uJi1+PAgQNWDwkAAIRQSHdWbdasmerUqaOjR4+6PX/06FGlp6dXOT4hIUEJCQmhHBIAALCRkM6IxMfHq1u3bvr4449dz5WXl+vjjz9Wz549Q/nVAAAgAoT8XjMTJ07UyJEj1b17d/Xo0UMvvPCCzp07p9GjR4f6qwEAgM2FPIjce++9On78uKZOnaqioiJ16dJFH330UZUGVgAAEHscxhhj9SC8KSkpUUpKioqLi7n7LgAAESKQ398hnxGxI2OMLlwqkyQl1qvj122KAQBA7bPV8t1wuXCpTB2nLlfHqctdgQQAAIRfTAYRAABgDwQRAABgGYIIAACwDEEEAABYhiACAAAsE/NBxL67qAAAEP1iPogMeWWNbLynGwAAUS0mg0hivTrq2PLKTm/bjpSwlwgAABaJySDicDj09v3c/RcAAKvFZBCRpKt3dacyAwCANWI2iFyNPhEAAKwRs0GEPhEAAKwXs0GEPhEAAKwXs0FEcu8TAQAA4RfTQQQAAFiLIAIAACxDEAEAAJYhiAAAAMsQRAAAgGUIIv9w3lnGpmYAAIQZQeQfus9YyQ6rAACEWUwHkcR6ddQ9q4nrz+v3fc8OqwAAhFFMB5GK3VXX/zbX6qEAABCTYjqISFfCSFJ8HauHAQBATIr5IAIAAKxDEKmEXlUAAMKHIFIJK2cAAAgfgoiurJ7p2DJZkrTtSAkrZwAACBOCiP65egYAAIQXQeQfHA6rRwAAQOwhiHjAdu8AAIQHQcQDtnsHACA8CCL/wHbvAACEH0HkHzxt906JBgCA0CKIXKXydu+UaAAACC2CSCWUaAAACB+CSCXckRcAgPAhiHjAHXkBAAgPgggAALAMQcQP9KoCABAaBBE/sHIGAIDQIIh4wR15AQAIPYKIF5XvyMvmZgAA1D6CiA9X35GXzc0AAKh9BBEf2NwMAIDQIoj4wOZmAACEFkGkGpU3N6NXBACA2kMQCRC9IgAA1B6CiB/oFQEAIDQIIn6gVwQAgNAgiPiJG+EBAFD7CCJBomkVAICaI4gEiaZVAABqjiASAJpWAQCoXQSRANC0CgBA7SKIBKhy0yqVGQAAgkcQqSH6RAAACB5BJAiJ9eqoY8tkSdK2IyX0iQAAECSCSBAqekUqsJQXAIDgEESC5HD8859ZygsAQHAIIkFiKS8AADVHEAkSS3kBAKg5gkgNVF7KS68IAACBIYjUInpFAAAITMiCyFNPPaVevXopKSlJjRs3DtXXWI5eEQAAgheyIOJ0OjVkyBA98MADofoKW/DUK3LeWabzzsvMjAAAUI26ofrgadOmSZIWLlwYqq+wjcq9It1nrLzyv1lN9Pb9PeW4eq0vAABwsVWPSGlpqUpKStwekaJyiUaiTAMAQHVCNiMSjIKCAtdMSqSpKNFcuFSm884y16wIAADwLqAZkSlTpsjhcPh87NixI+jB5OXlqbi42PU4cOBA0J9lhSslmros6QUAwE8BzYhMmjRJo0aN8nlMu3btgh5MQkKCEhISgn6/HXWfsZJeEQAAvAgoiKSlpSktLS1UY4kaFf0i6/d9L+mfvSJJ8baqhAEAYLmQ/Wbcv3+/Tp06pf3796usrEybN2+WJF177bVq2LBhqL7WFir6RU6ec7p6Rc47y5RYrw6zIgAAXCVkQWTq1Kl6/fXXXX/u2rWrJGnVqlXq3bt3qL7WNjwt6aVEAwCAu5At3124cKGMMVUesRBCKrDrKgAAvtlqH5Fowx16AQDwjSASYtyhFwAA7wgiYcYdegEA+CeCSBjQKwIAgGcEkTCgVwQAAM/YYStMPPWKSGJvEQBATCOIWKRiozP2FgEAxDJKM2FUuVdEol8EABDbmBEJo4pekQuXynTeWea2/btEmQYAEHsIImF2pVfE/a+dMg0AIFZRmrEIZRoAAJgRsYy3Mg0AALGEIGIhT2Ua+kUAALGEIGIz9IsAAGIJPSI2QL8IACBWMSNiA/SLAABiFUHEJugXAQDEIoKIjdEvAgCIdvSI2Az9IgCAWMKMiM3QLwIAiCUEERuiXwQAECsIIhGCfhEAQDSiR8TG6BcBAEQ7ZkRsjH4RAEC0I4jYnK9+EYmeEQBAZCOIRKCrZ0boGQEARDJ6RCKEp34RiZ4RAEBkY0YkQlzdLyKJnhEAQFQgiEQQT/0iEnuMAAAiF0EkCrDHCAAgUtEjEqHYYwQAEA2YEYlQ3vYYoUwDAIgkBJEI5qlnhDINACCSUJqJApRpAACRihmRKMBW8ACASEUQiRK+toKnXwQAYFcEkShGvwgAwO7oEYky9IsAACIJMyJRprplvRKlGgCAfRBEopCvZb0SpRoAgH1Qmoli3LEXAGB3zIhEMe7YCwCwO4JIlOOOvQAAOyOIxCiW9gIA7IAekRjC0l4AgN0wIxJDuGMvAMBuCCIxhjv2AgDshNJMjKJMAwCwA2ZEYhR37AUA2AFBJIb5umOvRM8IACD0CCJww1bwAIBwokcEbAUPALAMMyJgK3gAgGUIIpBU/VbwEj0jAIDaRxCBT/SMAABCiR4RVEHPCAAgXJgRQRW+ekauLtVIlGsAADVDEIFH3npGKjexUq4BANQEpRlUy1upRqJcAwCoGWZEUK3KpRqJJb4AgNpBEIFfvJVqJJb4AgCCRxBBjbHEFwAQLHpEEBSW+AIAagMzIggK28IDAGoDQQRBY1t4AEBNEURQ6+gZAQD4K2Q9Inv37tWYMWPUtm1bJSYmKjs7W/n5+XI6naH6SliInhEAQDBCNiOyY8cOlZeXa/78+br22mu1ZcsWjRs3TufOndPs2bND9bWwiL/bwlOqAQBczWGMMeH6smeffVbz5s3T//3f//l1fElJiVJSUlRcXKzk5OQQjw616bzzsjpOXV7leUo1ABD9Avn9Hdblu8XFxUpNTfX6emlpqUpKStweiEyUagAA/ghbs+quXbs0d+5cn2WZgoICTZs2LVxDQgixvBcA4I+AZ0SmTJkih8Ph87Fjxw639xw6dEj9+vXTkCFDNG7cOK+fnZeXp+LiYtfjwIEDgZ8RbKNiee+VRx3X8+edZTrvvOx6hLE6CACwmYB7RI4fP66TJ0/6PKZdu3aKj4+XJB0+fFi9e/fWv/7rv2rhwoWKi/M/+9AjEj289YxI9I0AQLQJ5Pd3wKWZtLQ0paWl+XXsoUOH1KdPH3Xr1k0LFiwIKIQgulT0jKzf932V1yr6RrzdVA8AEL1C9l/+Q4cOqXfv3srKytLs2bN1/Phx12vp6emh+lrYVOWeEYm+EQBACIPIihUrtGvXLu3atUutWrVye42egNjkbUt4ib1GACBWhXUfkUDRIxLd2GsEAKKTbfcRAa7GXiMAALoDYRl/t4WXKNcAQLQiiMBS3vpGKjexUq4BgOhEaQa24a1UI1GuAYBoxYwIbIMlvgAQewgisBWW+AJAbCGIIGJcPTNCzwgARAd6RGBrLPEFgOjGjAhsjSW+ABDdCCKwPZb4AkD0ojSDiMISXwCILsyIIKKwxBcAogtBBBHH3yW+En0jAGB3BBFEFfpGACCy0COCiEffCABELmZEEPGq6xthR1YAsC+CCKKCr74RdmQFAPuiNIOoxI6sABAZmBFBVPK1IysAwD4IIoha3so1LPEFAPsgiCDmsMQXAOyDHhHEBJb4AoA9MSOCmBDIEt8KlGwAIPQIIogZ/i7xdT1HyQYAQo7SDGKWr3KNRMkGAMKBGRHELE/lGomlvgAQTgQRxDRf5RqJ7eEBINQIIoAPbA8PAKFFjwhQCdvDA0D4MCMCVOJre3iW+QJA7SKIAB546x1hmS8A1C5KM0A1WOYLAKHDjAhQDZb5AkDoEEQAPwSyzLcCvSMAUD2CCFAL6B0BgODQIwIEid4RAKg5ZkSAINE7AgA1RxABaoAt4gGgZggiQAixRTwA+EaPCFDL2CIeAPzHjAhQywLdIl6ibAMgdhFEgBAIZIt4ibINgNhFaQYIseqW+UqUbQDELmZEgBDztsxXYqkvABBEgDCobpmvxFJfALGJIALYBEt9AcQiekQAC7HUF0CsY0YEsFCgS30p2QCINgQRwGKBLPWlZAMg2lCaAWyEO/oCiDXMiAA24s8dfSuXbCjXAIhkBBHAZqpb6lu5ZEO5BkAkozQDRABfJRvKNQAiGTMiQATwVLJhV1YA0YAgAkQIXyUb7uoLIFIRRIAowF19AUQqekSACMVdfQFEA2ZEgAjFXX0BRAOCCBDBAr2rbwV6RwDYBUEEiHJsFQ/AzugRAaIQW8UDiBTMiABRKJit4iVKNgDCjyACRKlAt4qXKNkACD9KM0AMoWQDwG6YEQFiiD8lGwAIJ4IIEGOqK9nQOwIgnEIaRO6++25t3rxZx44dU5MmTZSbm6uZM2cqIyMjlF8LoAboHQEQTiHtEenTp48WL16sb7/9Vu+++652796te+65J5RfCSAI9I4AsIrDGGPC9WV//vOfNXjwYJWWlqpevXrVHl9SUqKUlBQVFxcrOTk5DCMEYpcxxmfvyPrf5iopvo7b65RsAHgSyO/vsPWInDp1Sm+++aZ69erlNYSUlpaqtLTU9eeSkpJwDQ+IeSz3BWCFkC/ffeyxx9SgQQM1bdpU+/fv19KlS70eW1BQoJSUFNcjMzMz1MMD4AMlGwChFnBpZsqUKZo5c6bPY7Zv364OHTpIkk6cOKFTp05p3759mjZtmlJSUvTBBx94/H9QnmZEMjMzKc0AFqquZLPtyb7V3ngPQGwJaWlm0qRJGjVqlM9j2rVr5/rnZs2aqVmzZrr++ut1ww03KDMzU1988YV69uxZ5X0JCQlKSEgIdEgAQiiY5b4S/SMA/BNwEElLS1NaWlpQX1ZeXi5JbrMeACKbt43Q6B8B4I+QzaeuXbtW69at0w9+8AM1adJEu3fv1uOPP67s7GyPsyEAIkdF78j6fd97Paaif4SyDQBfQvZfiKSkJL333nvKz8/XuXPn1LJlS/Xr10+//e1vKb8AEc7bVvESd/gFEJiQBZFOnTrpk08+CdXHA7BYdb0jEkt+AVSPu+8CqFUs+QUQCIq3AGoVd/gFEAiCCIBax5JfAP4iiAAIO5b8AqhAjwiAsKiud0SifwSIRcyIAAgLlvwC8IQgAiBsWPILoDJKMwAsx5JfIHYxIwLAcv4s+WWlDRCdCCIAbKG6sg0rbYDoRGkGgG2x0gaIfsyIALAtf1faAIhcBBEAtubPShv6R4DIRRABEPHoHwEiFz0iACIS/SNAdGBGBEBEon8EiA4EEQARi/4RIPIRRABENfpHAHujRwRA1KF/BIgczIgAiDo1udOvRNkGCCeCCICoFOydfiXKNkA4UZoBEFMo2wD2wowIgJjCsl/AXggiAGIOy34B+yCIAIAH9I8A4UGPCAD8A/0jQPgxIwIA/1CTZb+UbIDgEEQA4CrBLvulZAMEh9IMAPihurINJRsgOMyIAIAfvJVtWPIL1AxBBAD8VF3ZxtuSX4keEsAbgggA1BJfMyP0kACe0SMCADXgz5JfiR4SwBtmRACgBnwt+ZX8u9uvROkGsYsgAgA15M+SX4nSDeAJpRkACCFKN4BvzIgAQAgFUroBYhFBBABCzN/SDXf8RSwiiACATXDHX8QiekQAwELc8RexjhkRALBQTe74K1G2QeQjiACAxYK9469E2QaRj9IMANgUZRvEAmZEAMCm/C3bAJGMIAIANuZP2Yat4xHJCCIAEOHYOh6RjB4RAIhAbB2PaMGMCABEoNq46y9lG9gBQQQAIlRN7/pL2QZ2QGkGAKIQS38RKZgRAYAoVNMdWyVKNwgPgggARKma7NgqUbpBeFCaAYAYw4ob2AkzIgAQYwJZcQOEGkEEAGKQvytu6CFBqBFEAABe0UOCUKNHBADghh4ShBMzIgAAN+zainAiiAAAqmDXVoQLpRkAQEDYtRW1iRkRAEBA/N21FfAHQQQAEDB/Sjcs/YU/CCIAgJBg6S/8QY8IAKDWsPQXgWJGBABQa2pj6a9E6SaWEEQAALWqpkt/JUo3sSQspZnS0lJ16dJFDodDmzdvDsdXAgBsiNINKgvLjMivf/1rZWRk6KuvvgrH1wEAbIo7/6KykAeRZcuW6a9//aveffddLVu2LNRfBwCwudq4869EH0m0CGkQOXr0qMaNG6clS5YoKSmp2uNLS0tVWlrq+nNJSUkohwcAsLHqZkboI4kOIesRMcZo1KhRuv/++9W9e3e/3lNQUKCUlBTXIzMzM1TDAwDYkL89JBJ9JNEi4BmRKVOmaObMmT6P2b59u/7617/qzJkzysvL8/uz8/LyNHHiRNefS0pKCCMAEEOq6yGRWAIcbRzGGBPIG44fP66TJ0/6PKZdu3YaOnSo3n//fbd/CcrKylSnTh2NGDFCr7/+erXfVVJSopSUFBUXFys5OTmQYQIAotR552V1nLq82uMo3VgnkN/fAQcRf+3fv9+tx+Pw4cPq27ev3nnnHeXk5KhVq1bVfgZBBABQmTFGQ15Zo/X7vq/22G1P9vWrMRa1K5Df3yG7Oq1bt3b7c8OGDSVJ2dnZfoUQAAA8YQlwdCEmAgAiTm0sAaaHxB7CFkTatGmjEFWBAADwiG3k7Y+77wIAogrbyEcWSjMAgKhSW3cAlijfhANBBAAQdWrjDsAS5ZtwoDQDAIgp7N5qL8yIAABiSqC7tyK0CCIAgJjjb+lGoo8k1AgiAAD4QB9JaNEjAgBAJfSRhA8zIgAAVMJdgMOHIAIAgAeB9JGwg2vwKM0AABAEdnCtHcyIAAAQBO4CXDsIIgAABKk27gJcIVZ7SQgiAACEmD8zI7HaS0KPCAAAIRDIEmApdntJmBEBACAE/FkCLLEMmCACAECIBLIEWIrNZcCUZgAAsFCsLwNmRgQAAAvF+jJggggAABaL5WXABBEAACJENC4DpkcEAAAbi/ZlwMyIAABgY9G+DJggAgCAzUXzMmBKMwAARIFIXQbMjAgAAFEgUpcBE0QAAIgSwS4DtrJvhCACAECMqTwzsu3JvgH1oNQmekQAAIgBgS4DDhdmRAAAiAG+ekgS69WxYERXEEQAAIgRgS4DDgdKMwAAwDIEEQAAYBmCCAAAsAxBBAAAWIYgAgAALEMQAQAAliGIAAAAyxBEAACAZQgiAADAMgQRAABgGYIIAACwDEEEAABYhiACAAAsY69b8FVijJEklZSUWDwSAADgr4rf2xW/x32xdRA5c+aMJCkzM9PikQAAgECdOXNGKSkpPo9xGH/iikXKy8t1+PBhNWrUSA6Ho1Y/u6SkRJmZmTpw4ICSk5Nr9bPtINrPT+Ico0G0n58U/ecY7ecncY7BMMbozJkzysjIUFyc7y4QW8+IxMXFqVWrViH9juTk5Kj9F0uK/vOTOMdoEO3nJ0X/OUb7+UmcY6CqmwmpQLMqAACwDEEEAABYJmaDSEJCgvLz85WQkGD1UEIi2s9P4hyjQbSfnxT95xjt5ydxjqFm62ZVAAAQ3WJ2RgQAAFiPIAIAACxDEAEAAJYhiAAAAMtEbRB56qmn1KtXLyUlJalx48Yej9m/f78GDhyopKQkNW/eXJMnT9bly5d9fu6pU6c0YsQIJScnq3HjxhozZozOnj0bgjMIzOrVq+VwODw+1q1b5/V9vXv3rnL8/fffH8aRB6ZNmzZVxvvMM8/4fM/Fixc1YcIENW3aVA0bNtRPfvITHT16NEwj9t/evXs1ZswYtW3bVomJicrOzlZ+fr6cTqfP99n9Gr788stq06aN6tevr5ycHH355Zc+j3/77bfVoUMH1a9fX506ddKHH34YppEGrqCgQP/yL/+iRo0aqXnz5ho8eLC+/fZbn+9ZuHBhletVv379MI04cE888USV8Xbo0MHneyLpGnr6b4rD4dCECRM8Hh8J1+9vf/ub7rrrLmVkZMjhcGjJkiVurxtjNHXqVLVs2VKJiYnKzc3Vzp07q/3cQH+W/RW1QcTpdGrIkCF64IEHPL5eVlamgQMHyul0qrCwUK+//roWLlyoqVOn+vzcESNGaOvWrVqxYoU++OAD/e1vf9PPf/7zUJxCQHr16qUjR464PcaOHau2bduqe/fuPt87btw4t/fNmjUrTKMOzpNPPuk23gcffNDn8Y8++qjef/99vf322/r00091+PBh/fu//3uYRuu/HTt2qLy8XPPnz9fWrVs1Z84cvfLKK/qv//qvat9r12v4xz/+URMnTlR+fr42btyozp07q2/fvjp27JjH4wsLCzV8+HCNGTNGmzZt0uDBgzV48GBt2bIlzCP3z6effqoJEyboiy++0IoVK3Tp0iXdeeedOnfunM/3JScnu12vffv2hWnEwbnxxhvdxvvZZ595PTbSruG6devczm3FihWSpCFDhnh9j92v37lz59S5c2e9/PLLHl+fNWuWXnrpJb3yyitau3atGjRooL59++rixYtePzPQn+WAmCi3YMECk5KSUuX5Dz/80MTFxZmioiLXc/PmzTPJycmmtLTU42dt27bNSDLr1q1zPbds2TLjcDjMoUOHan3sNeF0Ok1aWpp58sknfR532223mYcffjg8g6oFWVlZZs6cOX4ff/r0aVOvXj3z9ttvu57bvn27kWTWrFkTghHWrlmzZpm2bdv6PMbO17BHjx5mwoQJrj+XlZWZjIwMU1BQ4PH4oUOHmoEDB7o9l5OTY37xi1+EdJy15dixY0aS+fTTT70e4+2/SXaVn59vOnfu7PfxkX4NH374YZOdnW3Ky8s9vh5p10+S+dOf/uT6c3l5uUlPTzfPPvus67nTp0+bhIQE89Zbb3n9nEB/lgMRtTMi1VmzZo06deqkFi1auJ7r27evSkpKtHXrVq/vady4sdsMQ25uruLi4rR27dqQjzkQf/7zn3Xy5EmNHj262mPffPNNNWvWTDfddJPy8vJ0/vz5MIwweM8884yaNm2qrl276tlnn/VZTtuwYYMuXbqk3Nxc13MdOnRQ69attWbNmnAMt0aKi4uVmppa7XF2vIZOp1MbNmxw+7uPi4tTbm6u17/7NWvWuB0vXfm5jIRrJV25XpKqvWZnz55VVlaWMjMzNWjQIK//zbGLnTt3KiMjQ+3atdOIESO0f/9+r8dG8jV0Op1atGiR/vM//9PnjVYj7fpdbc+ePSoqKnK7RikpKcrJyfF6jYL5WQ6ErW96F0pFRUVuIUSS689FRUVe39O8eXO35+rWravU1FSv77HKa6+9pr59+1Z708D/+I//UFZWljIyMvT111/rscce07fffqv33nsvTCMNzEMPPaRbbrlFqampKiwsVF5eno4cOaLnn3/e4/FFRUWKj4+v0ifUokUL212zynbt2qW5c+dq9uzZPo+z6zU8ceKEysrKPP6c7dixw+N7vP1c2v1aSVfuFv7II4/o3/7t33TTTTd5Pa59+/b6/e9/r5tvvlnFxcWaPXu2evXqpa1bt4b8Jp/ByMnJ0cKFC9W+fXsdOXJE06ZN0//7f/9PW7ZsUaNGjaocH8nXcMmSJTp9+rRGjRrl9ZhIu36VVVyHQK5RMD/LgYioIDJlyhTNnDnT5zHbt2+vtpEqkgRzzgcPHtTy5cu1ePHiaj//6v6WTp06qWXLlrr99tu1e/duZWdnBz/wAARyjhMnTnQ9d/PNNys+Pl6/+MUvVFBQYNvtl4O5hocOHVK/fv00ZMgQjRs3zud77XANIU2YMEFbtmzx2T8hST179lTPnj1df+7Vq5duuOEGzZ8/X9OnTw/1MAPWv39/1z/ffPPNysnJUVZWlhYvXqwxY8ZYOLLa99prr6l///7KyMjwekykXb9IEFFBZNKkST6TqiS1a9fOr89KT0+v0vFbsZIiPT3d63sqN+ZcvnxZp06d8vqemgrmnBcsWKCmTZvq7rvvDvj7cnJyJF35f+Ph+iVWk+uak5Ojy5cva+/evWrfvn2V19PT0+V0OnX69Gm3WZGjR4+G7JpVFuj5HT58WH369FGvXr30u9/9LuDvs+IaetKsWTPVqVOnygolX3/36enpAR1vF7/85S9dzeuB/r/ievXqqWvXrtq1a1eIRle7GjdurOuvv97reCP1Gu7bt08rV64MeCYx0q5fxXU4evSoWrZs6Xr+6NGj6tKli8f3BPOzHJAad5nYXHXNqkePHnU9N3/+fJOcnGwuXrzo8bMqmlXXr1/vem758uW2alYtLy83bdu2NZMmTQrq/Z999pmRZL766qtaHlloLFq0yMTFxZlTp055fL2iWfWdd95xPbdjxw7bNqsePHjQXHfddWbYsGHm8uXLQX2Gna5hjx49zC9/+UvXn8vKysw111zjs1n1Rz/6kdtzPXv2tG2jY3l5uZkwYYLJyMgw3333XVCfcfnyZdO+fXvz6KOP1vLoQuPMmTOmSZMm5sUXX/T4eqRdwwr5+fkmPT3dXLp0KaD32f36yUuz6uzZs13PFRcX+9WsGsjPckBjrPEn2NS+ffvMpk2bzLRp00zDhg3Npk2bzKZNm8yZM2eMMVf+5bnpppvMnXfeaTZv3mw++ugjk5aWZvLy8lyfsXbtWtO+fXtz8OBB13P9+vUzXbt2NWvXrjWfffaZue6668zw4cPDfn7erFy50kgy27dvr/LawYMHTfv27c3atWuNMcbs2rXLPPnkk2b9+vVmz549ZunSpaZdu3bm1ltvDfew/VJYWGjmzJljNm/ebHbv3m0WLVpk0tLSzM9+9jPXMZXP0Rhj7r//ftO6dWvzySefmPXr15uePXuanj17WnEKPh08eNBce+215vbbbzcHDx40R44ccT2uPiaSruEf/vAHk5CQYBYuXGi2bdtmfv7zn5vGjRu7Vqvdd999ZsqUKa7jP//8c1O3bl0ze/Zss337dpOfn2/q1atnvvnmG6tOwacHHnjApKSkmNWrV7tdr/Pnz7uOqXyO06ZNM8uXLze7d+82GzZsMMOGDTP169c3W7duteIUqjVp0iSzevVqs2fPHvP555+b3Nxc06xZM3Ps2DFjTORfQ2Ou/FJt3bq1eeyxx6q8FonX78yZM67feZLM888/bzZt2mT27dtnjDHmmWeeMY0bNzZLly41X3/9tRk0aJBp27atuXDhguszfvjDH5q5c+e6/lzdz3JNRG0QGTlypJFU5bFq1SrXMXv37jX9+/c3iYmJplmzZmbSpEluaXjVqlVGktmzZ4/ruZMnT5rhw4ebhg0bmuTkZDN69GhXuLGD4cOHm169enl8bc+ePW5/B/v37ze33nqrSU1NNQkJCebaa681kydPNsXFxWEcsf82bNhgcnJyTEpKiqlfv7654YYbzNNPP+02g1X5HI0x5sKFC2b8+PGmSZMmJikpyfz4xz92++VuFwsWLPD47+zVE5eReA3nzp1rWrdubeLj402PHj3MF1984XrttttuMyNHjnQ7fvHixeb666838fHx5sYbbzR/+ctfwjxi/3m7XgsWLHAdU/kcH3nkEdffR4sWLcyAAQPMxo0bwz94P917772mZcuWJj4+3lxzzTXm3nvvNbt27XK9HunX0JgrM9uSzLffflvltUi8fhW/uyo/Ks6jvLzcPP7446ZFixYmISHB3H777VXOPSsry+Tn57s95+tnuSYcxhhT8wIPAABA4GJ2HxEAAGA9gggAALAMQQQAAFiGIAIAACxDEAEAAJYhiAAAAMsQRAAAgGUIIgAAwDIEEQAAYBmCCAAAsAxBBEBYHT9+XOnp6Xr66addzxUWFio+Pl4ff/yxhSMDYAXuNQMg7D788EMNHjxYhYWFat++vbp06aJBgwbp+eeft3poAMKMIALAEhMmTNDKlSvVvXt3ffPNN1q3bp0SEhKsHhaAMCOIALDEhQsXdNNNN+nAgQPasGGDOnXqZPWQAFiAHhEAlti9e7cOHz6s8vJy7d271+rhALAIMyIAws7pdKpHjx7q0qWL2rdvrxdeeEHffPONmjdvbvXQAIQZQQRA2E2ePFnvvPOOvvrqKzVs2FC33XabUlJS9MEHH1g9NABhRmkGQFitXr1aL7zwgt544w0lJycrLi5Ob7zxhv7+979r3rx5Vg8PQJgxIwIAACzDjAgAALAMQQQAAFiGIAIAACxDEAEAAJYhiAAAAMsQRAAAgGUIIgAAwDIEEQAAYBmCCAAAsAxBBAAAWIYgAgAALEMQAQAAlvn/o+qwIkXJp/wAAAAASUVORK5CYII=", + "image/png": "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", "text/plain": [ "
" ] @@ -3365,13 +2725,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-10.0, -9.96)\": -0.111, \"(-9.96, -9.94)\": -0.206, \"(-9.94, -9.89)\": -0.256, \"(-9.89, -9.81)\": -0.391, \"(-9.81, -9.76)\": -0.462, \"(-9.76, -9.67)\": -0.528, \"(-9.67, -9.6)\": -0.577, \"(-9.6, -9.53)\": -0.647, \"(-9.53, -9.46)\": -0.694, \"(-9.46, -9.37)\": -0.739, \"(-9.37, -9.28)\": -0.806, \"(-9.28, -9.21)\": -0.851, \"(-9.21, -9.12)\": -0.895, \"(-9.12, -9.05)\": -0.943, \"(-9.05, -8.94)\": -0.991, \"(-8.94, -8.83)\": -1.036, \"(-8.83, -8.74)\": -1.083, \"(-8.74, -8.64)\": -1.132, \"(-8.64, -8.52)\": -1.177, \"(-8.52, -8.39)\": -1.225, \"(-8.39, -8.26)\": -1.272, \"(-8.26, -8.12)\": -1.322, \"(-8.12, -7.98)\": -1.382, \"(-7.98, -7.83)\": -1.43, \"(-7.83, -7.71)\": -1.475, \"(-7.71, -7.57)\": -1.519, \"(-7.57, -7.41)\": -1.566, \"(-7.41, -7.25)\": -1.614, \"(-7.25, -7.1)\": -1.66, \"(-7.1, -6.97)\": -1.705, \"(-6.97, -6.8)\": -1.748, \"(-6.8, -6.62)\": -1.797, \"(-6.62, -6.41)\": -1.844, \"(-6.41, -6.24)\": -1.896, \"(-6.24, -6.05)\": -1.941, \"(-6.05, -5.86)\": -1.99, \"(-5.86, -5.66)\": -2.036, \"(-5.66, -5.48)\": -2.084, \"(-5.48, -5.27)\": -2.128, \"(-5.27, -5.07)\": -2.18, \"(-5.07, -4.87)\": -2.224, \"(-4.87, -4.64)\": -2.271, \"(-4.64, -4.45)\": -2.315, \"(-4.45, -4.23)\": -2.359, \"(-4.23, -4.0)\": -2.403, \"(-4.0, -3.78)\": -2.451, \"(-3.78, -3.53)\": -2.497, \"(-3.53, -3.28)\": -2.546, \"(-3.28, -3.09)\": -2.59, \"(-3.09, -2.81)\": -2.634, \"(-2.81, -2.59)\": -2.68, \"(-2.59, -2.36)\": -2.725, \"(-2.36, -2.11)\": -2.77, \"(-2.11, -1.8)\": -2.818, \"(-1.8, -1.56)\": -2.862, \"(-1.56, -1.28)\": -2.906, \"(-1.28, -1.02)\": -2.953, \"(-1.02, -0.74)\": -2.998, \"(-0.74, -0.47)\": -3.045, \"(-0.47, -0.16)\": -3.091, \"(-0.16, 0.13)\": -3.135, \"(0.13, 0.4)\": -3.181, \"(0.4, 0.69)\": -3.225, \"(0.69, 0.99)\": -3.27, \"(0.99, 1.3)\": -3.315, \"(1.3, 1.62)\": -3.364, \"(1.62, 1.92)\": -3.41, \"(1.92, 2.21)\": -3.454, \"(2.21, 2.54)\": -3.501, \"(2.54, 2.89)\": -3.546, \"(2.89, 3.2)\": -3.59, \"(3.2, 3.53)\": -3.634, \"(3.53, 3.86)\": -3.681, \"(3.86, 4.21)\": -3.725, \"(4.21, 4.55)\": -3.769, \"(4.55, 4.89)\": -3.813, \"(4.89, 5.22)\": -3.859, \"(5.22, 5.57)\": -3.903, \"(5.57, 5.91)\": -3.948, \"(5.91, 6.29)\": -3.993, \"(6.29, 6.65)\": -4.037, \"(6.65, 7.03)\": -4.081, \"(7.03, 7.42)\": -4.13, \"(7.42, 7.81)\": -4.175, \"(7.81, 8.18)\": -4.22, \"(8.18, 8.58)\": -4.267, \"(8.58, 8.97)\": -4.312, \"(8.97, 9.38)\": -4.357, \"(9.38, 9.77)\": -4.403, \"(9.77, 9.91)\": -4.448}\n", + "Means: {\"(-9.97, -9.79)\": 19943.2, \"(-9.79, -9.55)\": 19525.0, \"(-9.55, -9.33)\": 19072.4, \"(-9.33, -9.12)\": 18627.6, \"(-9.12, -8.89)\": 18205.0, \"(-8.89, -8.7)\": 17779.6, \"(-8.7, -8.48)\": 17356.8, \"(-8.48, -8.28)\": 16942.0, \"(-8.28, -8.04)\": 16477.6, \"(-8.04, -7.82)\": 16049.9, \"(-7.82, -7.6)\": 15621.4, \"(-7.6, -7.38)\": 15192.4, \"(-7.38, -7.16)\": 14732.2, \"(-7.16, -6.93)\": 14296.5, \"(-6.93, -6.74)\": 13856.0, \"(-6.74, -6.53)\": 13437.0, \"(-6.53, -6.28)\": 13015.5, \"(-6.28, -6.06)\": 12536.5, \"(-6.06, -5.83)\": 12099.9, \"(-5.83, -5.62)\": 11652.4, \"(-5.62, -5.39)\": 11214.6, \"(-5.39, -5.18)\": 10783.3, \"(-5.18, -4.96)\": 10352.6, \"(-4.96, -4.75)\": 9916.8, \"(-4.75, -4.55)\": 9495.8, \"(-4.55, -4.32)\": 9079.7, \"(-4.32, -4.11)\": 8630.5, \"(-4.11, -3.89)\": 8201.0, \"(-3.89, -3.67)\": 7765.7, \"(-3.67, -3.46)\": 7315.9, \"(-3.46, -3.23)\": 6875.0, \"(-3.23, -2.99)\": 6444.4, \"(-2.99, -2.75)\": 5902.6, \"(-2.75, -2.56)\": 5484.6, \"(-2.56, -2.34)\": 5071.4, \"(-2.34, -2.11)\": 4652.1, \"(-2.11, -1.88)\": 4195.9, \"(-1.88, -1.67)\": 3743.9, \"(-1.67, -1.46)\": 3302.3, \"(-1.46, -1.23)\": 2877.7, \"(-1.23, -1.02)\": 2460.6, \"(-1.02, -0.83)\": 2047.3, \"(-0.83, -0.61)\": 1631.7, \"(-0.61, -0.4)\": 1194.5, \"(-0.4, -0.19)\": 780.1, \"(-0.19, 0.37)\": 319.4, \"(0.37, 0.59)\": 773.4, \"(0.59, 0.8)\": 1189.8, \"(0.8, 1.03)\": 1663.9, \"(1.03, 1.25)\": 2097.3, \"(1.25, 1.45)\": 2524.0, \"(1.45, 1.69)\": 2954.7, \"(1.69, 1.92)\": 3425.7, \"(1.92, 2.07)\": 3862.6, \"(2.07, 2.33)\": 4276.8, \"(2.33, 2.55)\": 4695.1, \"(2.55, 2.78)\": 5160.4, \"(2.78, 3.0)\": 5623.5, \"(3.0, 3.22)\": 6049.0, \"(3.22, 3.44)\": 6495.7, \"(3.44, 3.67)\": 6926.6, \"(3.67, 3.88)\": 7397.5, \"(3.88, 4.08)\": 7811.8, \"(4.08, 4.31)\": 8268.0, \"(4.31, 4.53)\": 8717.7, \"(4.53, 4.72)\": 9157.9, \"(4.72, 4.93)\": 9580.7, \"(4.93, 5.15)\": 10041.3, \"(5.15, 5.36)\": 10516.5, \"(5.36, 5.54)\": 10946.1, \"(5.54, 5.77)\": 11370.6, \"(5.77, 5.98)\": 11875.1, \"(5.98, 6.12)\": 12304.2, \"(6.12, 6.31)\": 12737.9, \"(6.31, 6.45)\": 13188.8, \"(6.45, 6.66)\": 13637.1, \"(6.66, 6.85)\": 14255.1, \"(6.85, 7.0)\": 14689.1, \"(7.0, 7.15)\": 15159.9, \"(7.15, 7.3)\": 15621.2, \"(7.3, 7.44)\": 16109.8, \"(7.44, 7.56)\": 16578.8, \"(7.56, 7.68)\": 17072.3, \"(7.68, 7.79)\": 17506.9, \"(7.79, 7.92)\": 18125.2, \"(7.92, 8.05)\": 18734.7, \"(8.05, 8.15)\": 19312.0, \"(8.15, 8.24)\": 19802.0, \"(8.24, 8.32)\": 20325.4, \"(8.32, 8.39)\": 20784.6, \"(8.39, 8.46)\": 21244.1, \"(8.46, 8.53)\": 21724.2, \"(8.53, 8.6)\": 22156.7, \"(8.6, 8.67)\": 22692.3, \"(8.67, 8.75)\": 23318.1, \"(8.75, 8.81)\": 23900.3, \"(8.81, 8.87)\": 24381.7, \"(8.87, 8.94)\": 24995.0, \"(8.94, 8.99)\": 25580.7, \"(8.99, 9.03)\": 26210.1, \"(9.03, 9.1)\": 26765.2, \"(9.1, 9.16)\": 27537.1, \"(9.16, 9.21)\": 27964.1, \"(9.21, 9.27)\": 28635.3, \"(9.27, 9.32)\": 29290.4, \"(9.32, 9.35)\": 29858.8, \"(9.35, 9.39)\": 30350.9, \"(9.39, 9.44)\": 31205.7, \"(9.44, 9.51)\": 31788.0, \"(9.51, 9.62)\": 33696.6, \"(9.62, 9.68)\": 35037.2, \"(9.68, 9.77)\": 35679.5, \"(9.77, 9.86)\": 38369.7, \"(9.86, 9.89)\": 39147.1, \"(9.89, 9.93)\": 39935.2, \"(9.93, 9.96)\": 40570.9, \"(9.96, 10.0)\": 41304.6}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3381,7 +2741,7 @@ }, { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAAHHCAYAAAC7soLdAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAABF5UlEQVR4nO3deXxU5b3H8W8SMklYJiFANoWwyY6gAiEuoCWXgNQrraIgRUBcsIkVQhGpSgJaQVwAkYLcWuh1uRXail6w0AACVcIWdgQKFASECcqSgQBZn/sHN6cMWUhC1pPP+/Wal5lzfufM88xJnC/nPOcZL2OMEQAAgI15V3UDAAAAKhqBBwAA2B6BBwAA2B6BBwAA2B6BBwAA2B6BBwAA2B6BBwAA2B6BBwAA2B6BBwAA2B6BB6hFjh07Jn9/f33zzTel3rZnz5564YUXKqBVuJ6kpCR5eXlVymtduHBBISEh+vjjj0u97eDBg/XII49UQKuAG0fgAWqRKVOmKCoqSnfddVept50wYYLmzJkjl8tVAS0r3Ndffy0vLy95eXnpxx9/LLD++++/1yOPPKKgoCA5nU49+OCD+te//lXovj744AO1b99e/v7+uuWWWzR79uxC60qzz6Lce++9OnLkSKm2qS5mzZqlBg0aaPDgwaXedsKECfrLX/6iHTt2VEDLgBtkANQKp06dMr6+vuaTTz4p0/a5ubkmLCzMvPLKK+XcsqJfr2vXrqZevXpGkvnhhx881p8/f97ccsstJiQkxLzxxhvmnXfeMU2bNjU333yz+fHHHz1q582bZySZhx56yMyfP98MGzbMSDLTpk0r8z6vtXbtWnPp0iVjjDG9e/c2hw8fNsYYs3LlSpOdnX1D70V2dra174qUlZVlmjRpYl5//fUy76NHjx5m2LBh5dgqoHwQeIBa4p133jEBAQHm/PnzZd5HfHy8iYyMNHl5ecXWDR8+3PTu3bvMr2OMMXPnzjWNGjUyzz//fKGB54033jCSzKZNm6xle/fuNT4+PmbixInWsosXL5pGjRqZAQMGeGw/dOhQU69ePXPmzJlS77MwCQkJpl27duarr74yvXv3Nps2bTKPPfaY6datmzl+/HiZ3oPK9te//tVIMgcPHizzPt566y1Tr169G/o9AyoCgQeoZMePHzcjR440ISEhxuFwmA4dOpgPPvjAWn/x4kXTtm1b07ZtW3Px4kVr+enTp01YWJiJjo42OTk5xpgrwaJevXrm0KFDpm/fvqZu3bomPDzcTJ48uUAo6dWrl7n33ns9ln377bfG39+/wL/I//GPfxhvb2/zwgsveCz//PPPjSSzdevWYvt4o4Hn9OnTplGjRmbOnDkmMTGx0MDTvXt307179wLb9u3b17Rq1cp6vmzZMiPJLFu2zKNu/fr1RpL58MMPS73PouzYscPExMSYgIAA07p1a7NgwYLrhsOsrCyTlJRkWrdubfz8/ExwcLC56667zN///nerJv89uNrFixfNc889Zxo1amTq169vHnjgAXP8+HEjySQmJhbY9sCBA2b48OEmMDDQOJ1OM2LECJORkeGxz8cff9w0b97cY1laWppp3Lix6d27t0dfDhw4YOrWrWseeeSRAu+BJPPXv/71uu8XUJkYwwNUorS0NPXs2VMrV65UfHy8Zs2apdatW2vUqFGaOXOmJCkgIEB//OMfdfDgQb300kvWtnFxcUpPT9fChQvl4+NjLc/NzVW/fv0UGhqq6dOn64477lBiYqISExOtmuzsbG3evFm33367R3vat2+vV199VR9++KG++OILSVJGRoZGjBihdu3aacqUKR71d9xxhySVadBzabzyyisKCwvTM888U+j6vLw87dy5U926dSuwrkePHjp06JDOnz8vSdq2bZskFai944475O3tba0vzT6L4u3tbQ0uzh97dD1JSUmaPHmy7rvvPr333nt66aWX1KxZM23durXY7UaMGKHZs2fr/vvv1xtvvKGAgAANGDCgyPpHHnlE58+f19SpU/XII49o4cKFmjx5skfN+vXrC/yOhISEaO7cuVq7dq017ikvL08jRoxQgwYN9Lvf/c6jvkOHDgoICKjw3xGg1Ko6cQG1yahRo0x4eHiB8SCDBw82gYGBHmd0Jk6caLy9vc26devM4sWLjSQzc+ZMj+2GDx9uJJnnnnvOWpaXl2cGDBhgHA6HdVbk4MGDRpKZPXt2gTbl5uaau+++24SGhpoff/zRxMXFmTp16pjNmzcX2geHw2GeffbZYvt5I2d4duzYYXx8fMyKFSuMMabQMzw//PCDkWSmTJlSYPs5c+YYSWbfvn3GGGPi4uKMj49Poa/VpEkTM3jw4FLvszDjx48vcElryJAh172k1aVLlwKX26517Rme1NRUI8mMGTPGo27EiBFFnuF54oknPGp/9rOfmUaNGlnPs7OzjZeXlxk3blyhbRgyZIipW7eu+ec//2nefPNNI8ksWbKk0No2bdqY/v37F9snoLJxhgeoJMYY/eUvf9EDDzwgY4x+/PFH6xEbG6v09HSPf9UnJSWpY8eOGj58uH75y1+qd+/e+tWvflXovuPj462fvby8FB8fr6ysLK1cuVKSdPr0aUlSw4YNC2zr7e2thQsX6sKFC+rfv79+97vfaeLEiYWe6cjfx9V3TOXl5Xn05ccff1RmZqays7MLLM/Ozr7u+/SrX/1K/fv3V9++fYusuXTpkiTJz8+vwDp/f3+PmkuXLsnhcBS6H39/f4+6ku6zMAMGDNDWrVt17733SpKaNGmiTz75RNOmTVNoaGiR2wUFBWnPnj06cOBAkTXXWr58uSTpl7/8pcfy5557rshtRo8e7fH8nnvu0enTp+V2uyVJZ86ckTGm0N8RSXrvvfcUGBiohx9+WK+88oqGDRumBx98sNDaa39HgOqgTlU3AKgtfvjhB507d07z58/X/PnzC605deqU9bPD4dAf/vAHde/eXf7+/lqwYEGhl0i8vb3VsmVLj2Vt2rSRpAK3RhtjCn3dVq1aKSkpSePHj1enTp30yiuvFNkPY4xHO44ePaoWLVoUWtukSROP51999ZUVCArz6aefav369dq9e3eRNdKVy36SlJmZWWDd5cuXPWoCAgKUlZVV6H4uX77sUVfSfRamd+/ehS7v06dPkdtIV6YKePDBB9WmTRt16tRJ/fr107Bhw3TrrbcWuc13330nb2/vAu9769ati9ymWbNmHs/zg83Zs2fldDqt5UX9jgQHB+vdd9/VoEGDFBoaqnfffbfI17r2dwSoDgg8QCXJy8uTJP3iF7/Q8OHDC6259kNuxYoVkq584B44cKDIYHE9jRo1knTlw60of//73yVJJ06c0OnTpxUWFlZo3blz59S4cWPreVhYmJKTkz1q3nzzTblcLr399tsey7t06VJsO8ePH69BgwbJ4XBYYe3cuXOSrkyamJWVpYiICAUHB8vPz08nT54ssI/8ZREREZKk8PBw5ebm6tSpUwoJCbHqsrKydPr0aauuNPu8njVr1pSoTpJ69eqlQ4cO6fPPP9ff//53/f73v9eMGTM0b948PfnkkyXez/VcPe7ravkBJzg4WF5eXsX+juT/Pp49e1bHjx9XUFBQoXVnz57VLbfccmMNBsoZgQeoJE2aNFGDBg2Um5urmJiY69bv3LlTU6ZM0ciRI7V9+3Y9+eST2rVrlwIDAz3q8vLy9K9//cs6qyNJ//znPyVJzZs3l3TlX/cBAQE6fPhwoa81b948JScn67e//a2mTp2qZ555Rp9//nmBuu+//15ZWVlq3769tczf379Afz766CNlZmaWqJ9XO3bsmD755BN98sknBdbdfvvt6tKli7Zv3y5vb2917txZW7ZsKVC3ceNGtWzZUg0aNJAkde3aVZK0ZcsW3X///Vbdli1blJeXZ60vzT7LW3BwsEaOHKmRI0fqwoUL6tWrl5KSkooMPJGRkcrLy9Phw4c9gsXBgwfL3IY6deqoVatWRf6OLF++XL///e/1wgsv6OOPP9bw4cO1ceNG1anj+TGSk5OjY8eO6T//8z/L3BagIjCGB6gkPj4+euihh/SXv/yl0Es2P/zwg/Vzdna2RowYoYiICM2aNUsLFy5UWlqaxo4dW+i+33vvPetnY4zee+89+fr6WpdTfH191a1bt0I/zA8fPqzx48froYce0m9+8xu99dZb+uKLL/Tf//3fBWpTU1MlSXfeeWfpOl9Cn332WYHHo48+Kkn67//+b82YMcOqffjhh7V582aPPu3fv1+rV6/WoEGDrGU/+clPFBwcrLlz53q81ty5c1W3bl2PO5tKus/ylD++Kl/9+vXVunXrQi+t5YuNjZWkAndIFTV7dElFR0cX+jty7tw5Pfnkk+rRo4def/11/f73v9fWrVv1+uuvF6j99ttvdfny5Qr7HQHKrMqGSwO1kMvlMpGRkaZu3brm+eefN++//76ZOnWqGTRokGnYsKFVN2nSJOPl5WVWr15tLXvttdcKzCczfPhw4+/vb2655Rbz+OOPmzlz5pif/vSnRpL5zW9+4/Hab731lvHz8zPp6enWsry8PHPvvfeaJk2amFOnTlnL/+M//sMEBQWZ77//3mMf8fHxplmzZpUy8WC+oubhcbvdplWrViYkJMRMnz7dzJgxwzRt2tRERER49MWYf99l9fDDD5v/+q//Mo8//riRZH7729+WeZ/lJSQkxDzyyCPmjTfeMP/1X/9lnnnmGePl5eVx511h8/A89NBDRpIZNmyYmTNnjnnkkUdM165djSSTlJRUYNtr378FCxYYSdaM0MYY8+c//9lIMvv37/eoffzxx42/v7/Zu3evtezJJ580vr6+Zvv27R61b731lqlbt65xu91lfk+AikDgASpZWlqaiYuLM02bNjW+vr4mLCzM9OnTx8yfP98Yc+WW4zp16nh84BljTE5OjunevbuJiIgwZ8+eNcYUPvFgaGioSUxMNLm5uQVet06dOh4T7c2aNctIMn/5y188ao8ePWqcTqe5//77rWW5ubkmPDzcvPzyy9ftY2UEHmOMOXbsmHn44YeN0+k09evXNz/96U/NgQMHCt3P/PnzTdu2bY3D4TCtWrUyM2bMKDS4lWaf5eG1114zPXr0MEFBQSYgIMC0a9fO/Pa3vzVZWVlWTWGBJyMjw8TFxZng4GBTv359M3DgQLN///4CX5lRmsCTmZlpGjdubF599VVrWf5kk2+//bbH9m6320RGRpouXbp4tDUqKsr84he/uKH3BKgIXsYUMSQfQLU3YsQI/fnPf9aFCxdKVD9q1Cj985//1D/+8Y9Sv9aSJUv02GOP6dChQwoPDy/19qh427dv12233aaPPvpIQ4cOLdM+Xn31VS1YsEAHDhwocqBzca9/++23a+vWrdbYKKC6YAwPUIskJiZq8+bNZZoF94033lB8fDxhp5oobE6gmTNnytvbW7169SrzfseOHasLFy7oT3/6U6m3nTZtmh5++GHCDqol7tICapFmzZpZc8qUVkpKSjm3Bjdi+vTpSk1N1X333ac6derob3/7m/72t7/p6aefVtOmTcu83/r163vMB1UaZQlJQGUh8ABADXTnnXcqOTlZr776qi5cuKBmzZopKSnJ4/vXAPwbY3gAAIDtMYYHAADYHoEHAADYHmN4dGVq/hMnTqhBgwZ84R0AADWEMUbnz59XRESEvL2LP4dD4NGVL0u8kbsaAABA1Tl27JhuvvnmYmsIPJL1hYDHjh2T0+ms4tYAAICScLvdatq0aYm+2JfAI1mXsZxOJ4EHAIAapiTDURi0DAAAbI/AAwAAbI/AAwAAbI/AAwAAbI/AAwAAbI/AAwAAbI/AAwAAbI/AAwAAbI/AAwAAbI/AAwAAbI/AAwAAbI/AAwAAbK/MgWfq1Knq3r27GjRooJCQEA0cOFD79+/3qLn33nvl5eXl8Rg9erRHzdGjRzVgwADVrVtXISEhGj9+vHJycjxq1qxZo9tvv11+fn5q3bq1Fi5cWKA9c+bMUfPmzeXv76+oqCht2rSprF0DAAA2U+bAs3btWsXFxWnDhg1KTk5Wdna2+vbtq4yMDI+6p556SidPnrQe06dPt9bl5uZqwIABysrK0vr16/XHP/5RCxcu1KRJk6yaw4cPa8CAAbrvvvu0fft2jRkzRk8++aRWrFhh1Xz66adKSEhQYmKitm7dqi5duig2NlanTp0qa/cAAICNeBljTHns6IcfflBISIjWrl2rXr16Sbpyhqdr166aOXNmodv87W9/009/+lOdOHFCoaGhkqR58+ZpwoQJ+uGHH+RwODRhwgQtW7ZMu3fvtrYbPHiwzp07p+XLl0uSoqKi1L17d7333nuSpLy8PDVt2lTPPfecXnzxxeu23e12KzAwUOnp6XI6nTfyNgAAgKvsOp4uSep8c2C577s0n9/lNoYnPf1Kh4KDgz2Wf/zxx2rcuLE6deqkiRMn6uLFi9a6lJQUde7c2Qo7khQbGyu32609e/ZYNTExMR77jI2NVUpKiiQpKytLqampHjXe3t6KiYmxaq6VmZkpt9vt8QAAAPZVpzx2kpeXpzFjxuiuu+5Sp06drOWPPfaYIiMjFRERoZ07d2rChAnav3+//vrXv0qSXC6XR9iRZD13uVzF1rjdbl26dElnz55Vbm5uoTX79u0rtL1Tp07V5MmTb6zTAACgxiiXwBMXF6fdu3fr66+/9lj+9NNPWz937txZ4eHh6tOnjw4dOqRWrVqVx0uXycSJE5WQkGA9d7vdatq0aZW1BwAAVKwbDjzx8fFaunSp1q1bp5tvvrnY2qioKEnSwYMH1apVK4WFhRW4myotLU2SFBYWZv03f9nVNU6nUwEBAfLx8ZGPj0+hNfn7uJafn5/8/PxK3kkAAFBqxhhdzs6VJF3MylGAr4+8vLyqpC1lHsNjjFF8fLw+++wzrV69Wi1atLjuNtu3b5ckhYeHS5Kio6O1a9cuj7upkpOT5XQ61aFDB6tm1apVHvtJTk5WdHS0JMnhcOiOO+7wqMnLy9OqVausGgAAULmMMXp4XooGvX/l0WHSCl36//BTFcp8hicuLk6ffPKJPv/8czVo0MAacxMYGKiAgAAdOnRIn3zyie6//341atRIO3fu1NixY9WrVy/deuutkqS+ffuqQ4cOGjZsmKZPny6Xy6WXX35ZcXFx1hmY0aNH67333tMLL7ygJ554QqtXr9aiRYu0bNkyqy0JCQkaPny4unXrph49emjmzJnKyMjQyJEjb+S9AQAAZXQpO1ep352t6mb8mykjSYU+FixYYIwx5ujRo6ZXr14mODjY+Pn5mdatW5vx48eb9PR0j/0cOXLE9O/f3wQEBJjGjRubcePGmezsbI+ar776ynTt2tU4HA7TsmVL6zWuNnv2bNOsWTPjcDhMjx49zIYNG0rcl/T0dCOpQNsAAEDZZGRmm8gJS03khKVm3f5TJiMz2+Tl5ZXra5Tm87vc5uGpyZiHBwCA8nUxK0cdJl2ZJHjxM9Hq3iL4OluUXpXMwwMAAFBdEXgAAIDtEXgAAIDtEXgAAECF6nhT1Y+PJfAAAADbI/AAAADbI/AAAIByV90mvSHwAACAcmWM0aB5KVXdDA8EHgAAUK4uZefq25NuSVKHcKcCfH2quEUEHgAAUIEWj46usm9IvxqBBwAAVJhqkHUkEXgAAEAtQOABAAC2R+ABAAC2R+ABAAC2R+ABAAC2R+ABAAC2R+ABAAC2R+ABAAC2R+ABAADlqrp9cahE4AEAAOWoOn5xqETgAQAA5ag6fnGoROABAAAVpLp8cahE4AEAABWkmmQdSQQeAABQCxB4AACA7RF4AACA7RF4AABAuamOc/BIBB4AAFBOquscPBKBBwAAlJPqOgePROABAAAVoDrNwSMReAAAQDm5evxONco6kgg8AACgHFTn8TsSgQcAAJSD6jx+RyLwAACAclbdxu9IBB4AAFDOqlnWkUTgAQAAtQCBBwAA2B6BBwAA2B6BBwAA2B6BBwAA2B6BBwAA3LDq+i3p+Qg8AADghlT3WZYlAg8AALhB1X2WZYnAAwAAylF1nGVZuoHAM3XqVHXv3l0NGjRQSEiIBg4cqP3793vUXL58WXFxcWrUqJHq16+vhx56SGlpaR41R48e1YABA1S3bl2FhIRo/PjxysnJ8ahZs2aNbr/9dvn5+al169ZauHBhgfbMmTNHzZs3l7+/v6KiorRp06aydg0AAJRRNcw6km4g8Kxdu1ZxcXHasGGDkpOTlZ2drb59+yojI8OqGTt2rP73f/9Xixcv1tq1a3XixAn9/Oc/t9bn5uZqwIABysrK0vr16/XHP/5RCxcu1KRJk6yaw4cPa8CAAbrvvvu0fft2jRkzRk8++aRWrFhh1Xz66adKSEhQYmKitm7dqi5duig2NlanTp0qa/cAAICdmHJy6tQpI8msXbvWGGPMuXPnjK+vr1m8eLFVs3fvXiPJpKSkGGOM+fLLL423t7dxuVxWzdy5c43T6TSZmZnGGGNeeOEF07FjR4/XevTRR01sbKz1vEePHiYuLs56npubayIiIszUqVNL1Pb09HQjyaSnp5ey1wAAICMz20ROWGoiJyw1GZnZlfa6pfn8LrcxPOnp6ZKk4OBgSVJqaqqys7MVExNj1bRr107NmjVTSsqVkdwpKSnq3LmzQkNDrZrY2Fi53W7t2bPHqrl6H/k1+fvIyspSamqqR423t7diYmKsmmtlZmbK7XZ7PAAAgH2VS+DJy8vTmDFjdNddd6lTp06SJJfLJYfDoaCgII/a0NBQuVwuq+bqsJO/Pn9dcTVut1uXLl3Sjz/+qNzc3EJr8vdxralTpyowMNB6NG3atGwdBwAA1X4OHqmcAk9cXJx2796tP/3pT+Wxuwo3ceJEpaenW49jx45VdZMAAKiRTA2Yg0eS6tzoDuLj47V06VKtW7dON998s7U8LCxMWVlZOnfunMdZnrS0NIWFhVk1195NlX8X19U1197ZlZaWJqfTqYCAAPn4+MjHx6fQmvx9XMvPz09+fn5l6zAAALDUhDl4pBs4w2OMUXx8vD777DOtXr1aLVq08Fh/xx13yNfXV6tWrbKW7d+/X0ePHlV0dLQkKTo6Wrt27fK4myo5OVlOp1MdOnSwaq7eR35N/j4cDofuuOMOj5q8vDytWrXKqgEAABWvus7BI93AGZ64uDh98skn+vzzz9WgQQNrvExgYKACAgIUGBioUaNGKSEhQcHBwXI6nXruuecUHR2tnj17SpL69u2rDh06aNiwYZo+fbpcLpdefvllxcXFWWdgRo8erffee08vvPCCnnjiCa1evVqLFi3SsmXLrLYkJCRo+PDh6tatm3r06KGZM2cqIyNDI0eOvJH3BgAAlEI1zTpXlPVWMEmFPhYsWGDVXLp0yfzyl780DRs2NHXr1jU/+9nPzMmTJz32c+TIEdO/f38TEBBgGjdubMaNG2eysz1vafvqq69M165djcPhMC1btvR4jXyzZ882zZo1Mw6Hw/To0cNs2LChxH3htnQAAMqmqm5JN6Z0n99extSEsdUVy+12KzAwUOnp6XI6nVXdHAAAaoyMzBx1TLwyGfC3U2JV13HDw4NLrDSf33yXFgAAKBNTQ+7Qkgg8AACgjGrKHVoSgQcAAJSD6nyHlkTgAQAA5aAaZx1JBB4AAFALEHgAAIDtEXgAAIDtEXgAAIDtEXgAAIDtEXgAAIDtEXgAAIDtEXgAAIDtEXgAAIDtEXgAAECZ7PneXdVNKDECDwAAKDVjjC5n51Z1M0qsTlU3AAAA1CzGGD08L0Wp352t6qaUGGd4AABAqVzKzvUIO90iGyrA16cKW3R9nOEBAABl9uETPXT3LY3lVc2/Lp0zPAAAoMz8fX2qfdiRCDwAAKAWIPAAAIAy63iTs6qbUCIEHgAAYHsEHgAAUCrGVHULSo/AAwAASswYo0HzUqq6GaVG4AEAACV2KTtX35688pUSHcKd1X7+nXwEHgAAUCaLR0fXiFvSJQIPAAAooxqSdSQReAAAQC1A4AEAALZH4AEAALZH4AEAACVWE+fgkQg8AACghGrqHDwSgQcAAJRQTZ2DRyLwAACAMqhJc/BIBB4AAFAGNSjrSCLwAACAEqqpA5YlAg8AACiBmjxgWSLwAACAEqjJA5YlAg8AACilmjZgWSLwAACAUqphWUcSgQcAANQCBB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7ZQ4869at0wMPPKCIiAh5eXlpyZIlHutHjBghLy8vj0e/fv08as6cOaOhQ4fK6XQqKChIo0aN0oULFzxqdu7cqXvuuUf+/v5q2rSppk+fXqAtixcvVrt27eTv76/OnTvryy+/LGu3AABAIWryLMvSDQSejIwMdenSRXPmzCmypl+/fjp58qT1+J//+R+P9UOHDtWePXuUnJyspUuXat26dXr66aet9W63W3379lVkZKRSU1P15ptvKikpSfPnz7dq1q9fryFDhmjUqFHatm2bBg4cqIEDB2r37t1l7RoAALhKTZ9lWZK8jLnxzObl5aXPPvtMAwcOtJaNGDFC586dK3DmJ9/evXvVoUMHbd68Wd26dZMkLV++XPfff7+OHz+uiIgIzZ07Vy+99JJcLpccDock6cUXX9SSJUu0b98+SdKjjz6qjIwMLV261Np3z5491bVrV82bN69E7Xe73QoMDFR6erqcTmcZ3gEAAOzrYlaOOkxaIenKLMvLfnV3tZh4sDSf3xU6hmfNmjUKCQlR27Zt9eyzz+r06dPWupSUFAUFBVlhR5JiYmLk7e2tjRs3WjW9evWywo4kxcbGav/+/Tp79qxVExMT4/G6sbGxSkmp2UkUAIDqqCbOsixJdSpqx/369dPPf/5ztWjRQocOHdJvfvMb9e/fXykpKfLx8ZHL5VJISIhnY+rUUXBwsFwulyTJ5XKpRYsWHjWhoaHWuoYNG8rlclnLrq7J30dhMjMzlZmZaT13u9031FcAAGqLGph1JFVg4Bk8eLD1c+fOnXXrrbeqVatWWrNmjfr06VNRL1siU6dO1eTJk6u0DQAA1ATGGF3Myq3qZtywSrstvWXLlmrcuLEOHjwoSQoLC9OpU6c8anJycnTmzBmFhYVZNWlpaR41+c+vV5O/vjATJ05Uenq69Th27NiNdQ4AABsyxujheSnq9trKqm7KDau0wHP8+HGdPn1a4eHhkqTo6GidO3dOqampVs3q1auVl5enqKgoq2bdunXKzs62apKTk9W2bVs1bNjQqlm1apXHayUnJys6OrrItvj5+cnpdHo8AACAp0vZuUr97qz1vFtkQwX4+lRhi8quzIHnwoUL2r59u7Zv3y5JOnz4sLZv366jR4/qwoULGj9+vDZs2KAjR45o1apVevDBB9W6dWvFxsZKktq3b69+/frpqaee0qZNm/TNN98oPj5egwcPVkREhCTpsccek8Ph0KhRo7Rnzx59+umnmjVrlhISEqx2PP/881q+fLnefvtt7du3T0lJSdqyZYvi4+Nv4G0BAABX2/JyTI0dsCxJMmX01VdfGUkFHsOHDzcXL140ffv2NU2aNDG+vr4mMjLSPPXUU8blcnns4/Tp02bIkCGmfv36xul0mpEjR5rz58971OzYscPcfffdxs/Pz9x0001m2rRpBdqyaNEi06ZNG+NwOEzHjh3NsmXLStWX9PR0I8mkp6eX/o0AAMCmMjKzTeSEpSZywlKTkZld1c0poDSf3+UyD09Nxzw8AAAUdPX8O99OiVVdR4Xd61Qm1WYeHgAAUHPZ6ZQIgQcAABRgbPB1Elcj8AAAgAIuZefq25NXJubtEO6ssXdn5SPwAACAYtXou7P+H4EHAAAUq4ZnHUkEHgAAUAsQeAAAgO0ReAAAgO0ReAAAgO0ReAAAQAF2mnRQIvAAAIBr2G3SQYnAAwAArmG3SQclAg8AACiGHSYdlAg8AADgGleP37FB1pFE4AEAAFex4/gdicADAACuYsfxOxKBBwAAFMEu43ckAg8AALiKHcfvSAQeAADw/+w6fkci8AAAgP9n1/E7EoEHAAAUwk7jdyQCDwAAKISNso4kAg8AANCV8TsXs3KruhkVpk5VNwAAAFQtY4wenpei1O/OVnVTKgxneAAAqOUuZed6hJ1ukQ1tNWBZ4gwPAAC4ypaXY9SonsNWA5YlzvAAAICr1HX42C7sSAQeAABQCxB4AACA7RF4AACA7RF4AACA7RF4AACA7RF4AACoxYwxSj1i3wkH8zEPDwAAtVRtmGE5H2d4AACopWrDDMv5OMMDAEAtZcy/f7brDMv5OMMDAEAtZIzRoHkp1nO7zrCcj8ADAEAtdCk7V9+edEuSOoQ7bXspKx+BBwCAWm7x6Ghbn92RCDwAANR6Ns86kgg8AADUSlcPWK4NCDwAANQy1w5Yrg0IPAAA1DK1bcCyROABAKBWqw0DliUCDwAAtVotyDqSbiDwrFu3Tg888IAiIiLk5eWlJUuWeKw3xmjSpEkKDw9XQECAYmJidODAAY+aM2fOaOjQoXI6nQoKCtKoUaN04cIFj5qdO3fqnnvukb+/v5o2barp06cXaMvixYvVrl07+fv7q3Pnzvryyy/L2i0AAGzNGKOLWblV3YxKV+bAk5GRoS5dumjOnDmFrp8+fbreffddzZs3Txs3blS9evUUGxury5cvWzVDhw7Vnj17lJycrKVLl2rdunV6+umnrfVut1t9+/ZVZGSkUlNT9eabbyopKUnz58+3atavX68hQ4Zo1KhR2rZtmwYOHKiBAwdq9+7dZe0aAAC2lP9lod1eW1nVTal0Xsbc+I1pXl5e+uyzzzRw4EBJV97QiIgIjRs3Tr/+9a8lSenp6QoNDdXChQs1ePBg7d27Vx06dNDmzZvVrVs3SdLy5ct1//336/jx44qIiNDcuXP10ksvyeVyyeFwSJJefPFFLVmyRPv27ZMkPfroo8rIyNDSpUut9vTs2VNdu3bVvHnzStR+t9utwMBApaeny+l03ujbAQBAtXQxK0cdJq2wnneLbFijx/CU5vO7QsbwHD58WC6XSzExMdaywMBARUVFKSXlym1wKSkpCgoKssKOJMXExMjb21sbN260anr16mWFHUmKjY3V/v37dfbsWavm6tfJr8l/HQAAUNCWl2NqdNgprQr5tnSXyyVJCg0N9VgeGhpqrXO5XAoJCfFsTJ06Cg4O9qhp0aJFgX3kr2vYsKFcLlexr1OYzMxMZWZmWs/dbndpugcAQI1n9y8LvVatvEtr6tSpCgwMtB5Nmzat6iYBAFDhatvsylerkMATFhYmSUpLS/NYnpaWZq0LCwvTqVOnPNbn5OTozJkzHjWF7ePq1yiqJn99YSZOnKj09HTrcezYsdJ2EQCAGqU2zq58tQoJPC1atFBYWJhWrVplLXO73dq4caOio6MlSdHR0Tp37pxSU1OtmtWrVysvL09RUVFWzbp165SdnW3VJCcnq23btmrYsKFVc/Xr5Nfkv05h/Pz85HQ6PR4AANhZbZxd+WplDjwXLlzQ9u3btX37dklXBipv375dR48elZeXl8aMGaPXXntNX3zxhXbt2qXHH39cERER1p1c7du3V79+/fTUU09p06ZN+uabbxQfH6/BgwcrIiJCkvTYY4/J4XBo1KhR2rNnjz799FPNmjVLCQkJVjuef/55LV++XG+//bb27dunpKQkbdmyRfHx8WV/VwAAsLHaNFjZYsroq6++MpIKPIYPH26MMSYvL8+88sorJjQ01Pj5+Zk+ffqY/fv3e+zj9OnTZsiQIaZ+/frG6XSakSNHmvPnz3vU7Nixw9x9993Gz8/P3HTTTWbatGkF2rJo0SLTpk0b43A4TMeOHc2yZctK1Zf09HQjyaSnp5fuTQAAoAbIy8szP5y/bCInLDWRE5aajMzsqm5SuSjN53e5zMNT0zEPDwDArsz/TzaY+t1Za9m3U2JV11EhN2pXqiqfhwcAAFQPl7JzPcJOt8iGtW78jlRB8/AAAIDqZ8vLMWpUz1H7xu+IMzwAANQatW2ywasReAAAgO1xSQsAABsyxuhSdq4uZuVWdVOqBQIPAAA2U9idWbUdl7QAALCZa+/Mkmrv3Vn5OMMDAICNbXk5RnUdPgrwrb0DliUCDwAAtlbX4WOLSQZvFJe0AACwGb5DoSACDwAANmKM0aB5KVXdjGqHwAMAgI1cys7VtyfdkqQO4c5aPVD5agQeAABswhjjMe/O4tHRtXqg8tUYxQQAgA0UNvcOWeffOMMDAIAN8K3oxeMMDwAANlObvxW9KJzhAQCghrt27E5t/lb0onCGBwCAGozvzSoZzvAAAFCDMXanZDjDAwCATTB2p2ic4QEAoIZi7E7JcYYHAIAaiLE7pcMZHgAAaiDG7pQOZ3gAAKhhrr2Uxdid6yPwAABQgxR2KYuxO9fHJS0AAGoQLmWVDWd4AACoIbiUVXYEHgAAagAuZd0YLmkBAFADcCnrxnCGBwCAGoZLWaVH4AEAoBozxuhSdi4zKt8gAg8AANUUsymXH8bwAABQTV07bkdi7E5ZcYYHAIAaYMvLMarr8FGAL5ezyoLAAwBANVPUuJ26Dj62y4p3DgCAaoRxOxWDMTwAAFQjjNupGJzhAQCgGijsMhbjdsoPgQcAgCpW1GUsxu2UHy5pAQBQxbiMVfGIjQAAVCNcxqoYBB4AAKpA/pgdSdx+Xgl4RwEAqGTcel75GMMDAEAlK2zMjsS4nYrEGR4AACrY1ZevJBV667kkxu1UIAIPAAAV6HqXrxizUzkq9JJWUlKSvLy8PB7t2rWz1l++fFlxcXFq1KiR6tevr4ceekhpaWke+zh69KgGDBigunXrKiQkROPHj1dOTo5HzZo1a3T77bfLz89PrVu31sKFCyuyWwAAlFhRl68kLmFVpgqPlB07dtTKlSv//YJ1/v2SY8eO1bJly7R48WIFBgYqPj5eP//5z/XNN99IknJzczVgwACFhYVp/fr1OnnypB5//HH5+vrq9ddflyQdPnxYAwYM0OjRo/Xxxx9r1apVevLJJxUeHq7Y2NiK7h4AACV29eUriUtYlanCA0+dOnUUFhZWYHl6ero++OADffLJJ/rJT34iSVqwYIHat2+vDRs2qGfPnvr73/+ub7/9VitXrlRoaKi6du2qV199VRMmTFBSUpIcDofmzZunFi1a6O2335YktW/fXl9//bVmzJhB4AEAVKprx+pI3HJeXVT4u37gwAFFRETI399f0dHRmjp1qpo1a6bU1FRlZ2crJibGqm3Xrp2aNWumlJQU9ezZUykpKercubNCQ0OtmtjYWD377LPas2ePbrvtNqWkpHjsI79mzJgxRbYpMzNTmZmZ1nO3211+HQYA1Ercal69VegYnqioKC1cuFDLly/X3LlzdfjwYd1zzz06f/68XC6XHA6HgoKCPLYJDQ2Vy+WSJLlcLo+wk78+f11xNW63W5cuXSq0XVOnTlVgYKD1aNq0aXl0FwBQixU3VkdivE5Vq9AzPP3797d+vvXWWxUVFaXIyEgtWrRIAQEBFfnSxZo4caISEhKs5263m9ADALiuwi5Z5SvqVvN8jNepWpV6ITEoKEht2rTRwYMH9R//8R/KysrSuXPnPM7ypKWlWWN+wsLCtGnTJo995N/FdXXNtXd2paWlyel0Fhmq/Pz85OfnV17dAgDUAqW5ZMVYneqnUmdavnDhgg4dOqTw8HDdcccd8vX11apVq6z1+/fv19GjRxUdHS1Jio6O1q5du3Tq1CmrJjk5WU6nUx06dLBqrt5Hfk3+PgAAKA/Xu2SVj0tX1VOFxs9f//rXeuCBBxQZGakTJ04oMTFRPj4+GjJkiAIDAzVq1CglJCQoODhYTqdTzz33nKKjo9WzZ09JUt++fdWhQwcNGzZM06dPl8vl0ssvv6y4uDjrDM3o0aP13nvv6YUXXtATTzyh1atXa9GiRVq2bFlFdg0AYAPFXaK61vUuWeXj0lX1VKGB5/jx4xoyZIhOnz6tJk2a6O6779aGDRvUpEkTSdKMGTPk7e2thx56SJmZmYqNjdXvfvc7a3sfHx8tXbpUzz77rKKjo1WvXj0NHz5cU6ZMsWpatGihZcuWaezYsZo1a5Zuvvlm/f73v+eWdABAsW7kriouWdU8XsYYU9WNqGput1uBgYFKT0+X0+ms6uYAACrBxawcdZi0otTbdYtsqMWjozmLUw2U5vObeAoAqPWKu0R1LS5Z1UwEHgBAtVKacTU3ghmQaxeOLgCg2mC2YlSUSr0tHQCA4pT01u/yxG3ktQNneADYnjFGW45wxqAmuJxdslu/yxNjcmoHAg8AW+MSSc3FuBqUJy5pAbC1qrhEghvHZSaUN6IzgFrjwyd6yJ8P0RqhW/OGXGZCuSLwAKg17mjekEskQC3FJS0AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7tgo8c+bMUfPmzeXv76+oqCht2rSpqpsEAACqAdsEnk8//VQJCQlKTEzU1q1b1aVLF8XGxurUqVNV3TQAAFDFbBN43nnnHT311FMaOXKkOnTooHnz5qlu3br6wx/+UNVNAwAAVcwWgScrK0upqamKiYmxlnl7eysmJkYpKSkF6jMzM+V2uz0eAADAvmwReH788Ufl5uYqNDTUY3loaKhcLleB+qlTpyowMNB6NG3atLKaCgAAqoAtAk9pTZw4Uenp6dbj2LFjVd0kAABQgepUdQPKQ+PGjeXj46O0tDSP5WlpaQoLCytQ7+fnJz8/v8pqHgAAqGK2OMPjcDh0xx13aNWqVdayvLw8rVq1StHR0VXYMgAAUB3Y4gyPJCUkJGj48OHq1q2bevTooZkzZyojI0MjR46s6qYBAIAqZpvA8+ijj+qHH37QpEmT5HK51LVrVy1fvrzAQGYAAFD72CbwSFJ8fLzi4+OruhkAAKCascUYHgAAgOIQeAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReAAAgO0ReADYmjFV3QIA1QGBB4BtGWM0aF5KVTcDQDVA4AFgW5eyc/XtSbckqUO4UwG+PlXcIgBVhcADoFZYPDpaXl5eVd0MAFWEwAOgViDrALUbgQcAANgegQcAANgegQcAANhenapugJ0ZY3QpO1d7vndXdVOAWulydm5VNwFANUHgqUCXsnPVYdKKqm4GAAC1Hpe0ANhee+bgAWo9zvBUoABfH307JZZLWkAV86vjzRw8QC1H4KlAXl5equuoo+4tgqu6KUCttut4elU3AUAV45IWAACwPQIPAACwPQIPAACwPQIPAACwvQoLPM2bN5eXl5fHY9q0aR41O3fu1D333CN/f381bdpU06dPL7CfxYsXq127dvL391fnzp315Zdfeqw3xmjSpEkKDw9XQECAYmJidODAgYrqFgAAqIEq9AzPlClTdPLkSevx3HPPWevcbrf69u2ryMhIpaam6s0331RSUpLmz59v1axfv15DhgzRqFGjtG3bNg0cOFADBw7U7t27rZrp06fr3Xff1bx587Rx40bVq1dPsbGxunz5ckV2DUAN0vnmwKpuAoAq5mWMMRWx4+bNm2vMmDEaM2ZMoevnzp2rl156SS6XSw6HQ5L04osvasmSJdq3b58k6dFHH1VGRoaWLl1qbdezZ0917dpV8+bNkzFGERERGjdunH79619LktLT0xUaGqqFCxdq8ODBJWqr2+1WYGCg0tPT5XQ6b6DXAACgspTm87tCz/BMmzZNjRo10m233aY333xTOTk51rqUlBT16tXLCjuSFBsbq/379+vs2bNWTUxMjMc+Y2NjlZKSIkk6fPiwXC6XR01gYKCioqKsmsJkZmbK7XZ7PAAAgH1V2MSDv/rVr3T77bcrODhY69ev18SJE3Xy5Em98847kiSXy6UWLVp4bBMaGmqta9iwoVwul7Xs6hqXy2XVXb1dYTWFmTp1qiZPnnxjHQQAADVGqc7wvPjiiwUGIl/7yL8clZCQoHvvvVe33nqrRo8erbfffluzZ89WZmZmhXSkNCZOnKj09HTrcezYsapuEgAAqEClOsMzbtw4jRgxotiali1bFro8KipKOTk5OnLkiNq2bauwsDClpaV51OQ/DwsLs/5bWM3V6/OXhYeHe9R07dq1yDb6+fnJz8+v2H4AAAD7KFXgadKkiZo0aVKmF9q+fbu8vb0VEhIiSYqOjtZLL72k7Oxs+fr6SpKSk5PVtm1bNWzY0KpZtWqVx8Dn5ORkRUdHS5JatGihsLAwrVq1ygo4brdbGzdu1LPPPlumdgIAAPupkEHLKSkpmjlzpnbs2KF//etf+vjjjzV27Fj94he/sMLMY489JofDoVGjRmnPnj369NNPNWvWLCUkJFj7ef7557V8+XK9/fbb2rdvn5KSkrRlyxbFx8dLuvLlnGPGjNFrr72mL774Qrt27dLjjz+uiIgIDRw4sCK6BgAAaiJTAVJTU01UVJQJDAw0/v7+pn379ub11183ly9f9qjbsWOHufvuu42fn5+56aabzLRp0wrsa9GiRaZNmzbG4XCYjh07mmXLlnmsz8vLM6+88ooJDQ01fn5+pk+fPmb//v2lam96erqRZNLT00vfWQAAUCVK8/ldYfPw1CTMwwMAQM1TbebhAQAAqA4IPAAAwPYIPAAAwPYIPAAAwPYIPAAAwPYIPAAAwPYq7MtDa5L8O/P51nQAAGqO/M/tksywQ+CRdP78eUlS06ZNq7glAACgtM6fP6/AwMBia5h4UFJeXp5OnDihBg0ayMvLq1z37Xa71bRpUx07dsyWkxravX+S/ftI/2o+u/fR7v2T7N/HiuqfMUbnz59XRESEvL2LH6XDGR5J3t7euvnmmyv0NZxOpy1/ifPZvX+S/ftI/2o+u/fR7v2T7N/Hiujf9c7s5GPQMgAAsD0CDwAAsD0CTwXz8/NTYmKi/Pz8qropFcLu/ZPs30f6V/PZvY92759k/z5Wh/4xaBkAANgeZ3gAAIDtEXgAAIDtEXgAAIDtEXgAAIDtEXhu0G9/+1vdeeedqlu3roKCggqtOXr0qAYMGKC6desqJCRE48ePV05OTrH7PXPmjIYOHSqn06mgoCCNGjVKFy5cqIAelM6aNWvk5eVV6GPz5s1FbnfvvfcWqB89enQltrzkmjdvXqCt06ZNK3aby5cvKy4uTo0aNVL9+vX10EMPKS0trZJaXDpHjhzRqFGj1KJFCwUEBKhVq1ZKTExUVlZWsdtV52M4Z84cNW/eXP7+/oqKitKmTZuKrV+8eLHatWsnf39/de7cWV9++WUltbT0pk6dqu7du6tBgwYKCQnRwIEDtX///mK3WbhwYYFj5e/vX0ktLp2kpKQCbW3Xrl2x29Sk4ycV/v8ULy8vxcXFFVpf3Y/funXr9MADDygiIkJeXl5asmSJx3pjjCZNmqTw8HAFBAQoJiZGBw4cuO5+S/t3XFoEnhuUlZWlQYMG6dlnny10fW5urgYMGKCsrCytX79ef/zjH7Vw4UJNmjSp2P0OHTpUe/bsUXJyspYuXap169bp6aefrogulMqdd96pkydPejyefPJJtWjRQt26dSt226eeespju+nTp1dSq0tvypQpHm197rnniq0fO3as/vd//1eLFy/W2rVrdeLECf385z+vpNaWzr59+5SXl6f3339fe/bs0YwZMzRv3jz95je/ue621fEYfvrpp0pISFBiYqK2bt2qLl26KDY2VqdOnSq0fv369RoyZIhGjRqlbdu2aeDAgRo4cKB2795dyS0vmbVr1youLk4bNmxQcnKysrOz1bdvX2VkZBS7ndPp9DhW3333XSW1uPQ6duzo0davv/66yNqadvwkafPmzR79S05OliQNGjSoyG2q8/HLyMhQly5dNGfOnELXT58+Xe+++67mzZunjRs3ql69eoqNjdXly5eL3Gdp/47LxKBcLFiwwAQGBhZY/uWXXxpvb2/jcrmsZXPnzjVOp9NkZmYWuq9vv/3WSDKbN2+2lv3tb38zXl5e5vvvvy/3tt+IrKws06RJEzNlypRi63r37m2ef/75ymnUDYqMjDQzZswocf25c+eMr6+vWbx4sbVs7969RpJJSUmpgBaWv+nTp5sWLVoUW1Ndj2GPHj1MXFyc9Tw3N9dERESYqVOnFlr/yCOPmAEDBngsi4qKMs8880yFtrO8nDp1ykgya9euLbKmqP8fVUeJiYmmS5cuJa6v6cfPGGOef/5506pVK5OXl1fo+pp0/CSZzz77zHqel5dnwsLCzJtvvmktO3funPHz8zP/8z//U+R+Svt3XBac4algKSkp6ty5s0JDQ61lsbGxcrvd2rNnT5HbBAUFeZwxiYmJkbe3tzZu3FjhbS6NL774QqdPn9bIkSOvW/vxxx+rcePG6tSpkyZOnKiLFy9WQgvLZtq0aWrUqJFuu+02vfnmm8VegkxNTVV2drZiYmKsZe3atVOzZs2UkpJSGc29Yenp6QoODr5uXXU7hllZWUpNTfV47729vRUTE1Pke5+SkuJRL135m6xJx0rSdY/XhQsXFBkZqaZNm+rBBx8s8v831cGBAwcUERGhli1baujQoTp69GiRtTX9+GVlZemjjz7SE088UeyXVdek43e1w4cPy+VyeRyjwMBARUVFFXmMyvJ3XBZ8eWgFc7lcHmFHkvXc5XIVuU1ISIjHsjp16ig4OLjIbarKBx98oNjY2Ot++epjjz2myMhIRUREaOfOnZowYYL279+vv/71r5XU0pL71a9+pdtvv13BwcFav369Jk6cqJMnT+qdd94ptN7lcsnhcBQYwxUaGlrtjldhDh48qNmzZ+utt94qtq46HsMff/xRubm5hf6N7du3r9BtivqbrAnHKi8vT2PGjNFdd92lTp06FVnXtm1b/eEPf9Ctt96q9PR0vfXWW7rzzju1Z8+eCv+i5NKKiorSwoUL1bZtW508eVKTJ0/WPffco927d6tBgwYF6mvy8ZOkJUuW6Ny5cxoxYkSRNTXp+F0r/ziU5hiV5e+4LAg8hXjxxRf1xhtvFFuzd+/e6w6sq0nK0ufjx49rxYoVWrRo0XX3f/X4o86dOys8PFx9+vTRoUOH1KpVq7I3vIRK07+EhARr2a233iqHw6FnnnlGU6dOrdbTvpflGH7//ffq16+fBg0apKeeeqrYbav6GEKKi4vT7t27ix3jIknR0dGKjo62nt95551q37693n//fb366qsV3cxS6d+/v/XzrbfeqqioKEVGRmrRokUaNWpUFbasYnzwwQfq37+/IiIiiqypScevJiHwFGLcuHHFpm9JatmyZYn2FRYWVmCkef7dO2FhYUVuc+1ArZycHJ05c6bIbW5UWfq8YMECNWrUSP/5n/9Z6teLioqSdOXsQmV8WN7IMY2KilJOTo6OHDmitm3bFlgfFhamrKwsnTt3zuMsT1paWoUdr8KUto8nTpzQfffdpzvvvFPz588v9etV9jEsTOPGjeXj41Pgjrji3vuwsLBS1VcX8fHx1g0Mpf1Xvq+vr2677TYdPHiwglpXfoKCgtSmTZsi21pTj58kfffdd1q5cmWpz4rWpOOXfxzS0tIUHh5uLU9LS1PXrl0L3aYsf8dlUm6jgWq56w1aTktLs5a9//77xul0msuXLxe6r/xBy1u2bLGWrVixoloNWs7LyzMtWrQw48aNK9P2X3/9tZFkduzYUc4tK38fffSR8fb2NmfOnCl0ff6g5T//+c/Wsn379lXrQcvHjx83t9xyixk8eLDJyckp0z6qyzHs0aOHiY+Pt57n5uaam266qdhByz/96U89lkVHR1fbQa95eXkmLi7OREREmH/+859l2kdOTo5p27atGTt2bDm3rvydP3/eNGzY0MyaNavQ9TXt+F0tMTHRhIWFmezs7FJtV52Pn4oYtPzWW29Zy9LT00s0aLk0f8dlamu57amW+u6778y2bdvM5MmTTf369c22bdvMtm3bzPnz540xV35RO3XqZPr27Wu2b99uli9fbpo0aWImTpxo7WPjxo2mbdu25vjx49ayfv36mdtuu81s3LjRfP311+aWW24xQ4YMqfT+FWXlypVGktm7d2+BdcePHzdt27Y1GzduNMYYc/DgQTNlyhSzZcsWc/jwYfP555+bli1bml69elV2s69r/fr1ZsaMGWb79u3m0KFD5qOPPjJNmjQxjz/+uFVzbf+MMWb06NGmWbNmZvXq1WbLli0mOjraREdHV0UXruv48eOmdevWpk+fPub48ePm5MmT1uPqmppyDP/0pz8ZPz8/s3DhQvPtt9+ap59+2gQFBVl3Rg4bNsy8+OKLVv0333xj6tSpY9566y2zd+9ek5iYaHx9fc2uXbuqqgvFevbZZ01gYKBZs2aNx7G6ePGiVXNtHydPnmxWrFhhDh06ZFJTU83gwYONv7+/2bNnT1V0oVjjxo0za9asMYcPHzbffPONiYmJMY0bNzanTp0yxtT845cvNzfXNGvWzEyYMKHAupp2/M6fP2991kky77zzjtm2bZv57rvvjDHGTJs2zQQFBZnPP//c7Ny50zz44IOmRYsW5tKlS9Y+fvKTn5jZs2dbz6/3d1weCDw3aPjw4UZSgcdXX31l1Rw5csT079/fBAQEmMaNG5tx48Z5JPyvvvrKSDKHDx+2lp0+fdoMGTLE1K9f3zidTjNy5EgrRFUHQ4YMMXfeeWeh6w4fPuzxHhw9etT06tXLBAcHGz8/P9O6dWszfvx4k56eXoktLpnU1FQTFRVlAgMDjb+/v2nfvr15/fXXPc7GXds/Y4y5dOmS+eUvf2kaNmxo6tata372s595BIjqZMGCBYX+zl59wremHcPZs2ebZs2aGYfDYXr06GE2bNhgrevdu7cZPny4R/2iRYtMmzZtjMPhMB07djTLli2r5BaXXFHHasGCBVbNtX0cM2aM9X6Ehoaa+++/32zdurXyG18Cjz76qAkPDzcOh8PcdNNN5tFHHzUHDx601tf045dvxYoVRpLZv39/gXU17fjlf2Zd+8jvQ15ennnllVdMaGio8fPzM3369CnQ78jISJOYmOixrLi/4/LgZYwx5XeBDAAAoPphHh4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AAGB7BB4AtvTDDz8oLCxMr7/+urVs/fr1cjgcWrVqVRW2DEBV4Lu0ANjWl19+qYEDB2r9+vVq27atunbtqgcffFDvvPNOVTcNQCUj8ACwtbi4OK1cuVLdunXTrl27tHnzZvn5+VV1swBUMgIPAFu7dOmSOnXqpGPHjik1NVWdO3eu6iYBqAKM4QFga4cOHdKJEyeUl5enI0eOVHVzAFQRzvAAsK2srCz16NFDXbt2Vdu2bTVz5kzt2rVLISEhVd00AJWMwAPAtsaPH68///nP2rFjh+rXr6/evXsrMDBQS5cureqmAahkXNICYEtr1qzRzJkz9eGHH8rpdMrb21sffvih/vGPf2ju3LlV3TwAlYwzPAAAwPY4wwMAAGyPwAMAAGyPwAMAAGyPwAMAAGyPwAMAAGyPwAMAAGyPwAMAAGyPwAMAAGyPwAMAAGyPwAMAAGyPwAMAAGyPwAMAAGzv/wB4p3Q0RqndlgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -3397,13 +2757,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.99, -9.89)\": 8.651, \"(-9.89, -9.78)\": 8.549, \"(-9.78, -9.64)\": 8.41, \"(-9.64, -9.55)\": 8.31, \"(-9.55, -9.43)\": 8.18, \"(-9.43, -9.31)\": 8.075, \"(-9.31, -9.18)\": 7.957, \"(-9.18, -9.06)\": 7.849, \"(-9.06, -8.95)\": 7.743, \"(-8.95, -8.84)\": 7.611, \"(-8.84, -8.72)\": 7.508, \"(-8.72, -8.61)\": 7.402, \"(-8.61, -8.52)\": 7.301, \"(-8.52, -8.41)\": 7.198, \"(-8.41, -8.31)\": 7.098, \"(-8.31, -8.2)\": 6.988, \"(-8.2, -8.07)\": 6.879, \"(-8.07, -7.95)\": 6.771, \"(-7.95, -7.82)\": 6.652, \"(-7.82, -7.69)\": 6.505, \"(-7.69, -7.57)\": 6.405, \"(-7.57, -7.44)\": 6.279, \"(-7.44, -7.33)\": 6.156, \"(-7.33, -7.22)\": 6.053, \"(-7.22, -7.09)\": 5.942, \"(-7.09, -6.98)\": 5.828, \"(-6.98, -6.87)\": 5.725, \"(-6.87, -6.76)\": 5.614, \"(-6.76, -6.65)\": 5.51, \"(-6.65, -6.52)\": 5.4, \"(-6.52, -6.41)\": 5.285, \"(-6.41, -6.29)\": 5.171, \"(-6.29, -6.16)\": 5.052, \"(-6.16, -6.07)\": 4.948, \"(-6.07, -5.97)\": 4.847, \"(-5.97, -5.83)\": 4.742, \"(-5.83, -5.73)\": 4.642, \"(-5.73, -5.61)\": 4.521, \"(-5.61, -5.49)\": 4.403, \"(-5.49, -5.37)\": 4.304, \"(-5.37, -5.25)\": 4.202, \"(-5.25, -5.13)\": 4.097, \"(-5.13, -5.02)\": 3.975, \"(-5.02, -4.88)\": 3.863, \"(-4.88, -4.74)\": 3.734, \"(-4.74, -4.62)\": 3.629, \"(-4.62, -4.5)\": 3.526, \"(-4.5, -4.39)\": 3.42, \"(-4.39, -4.24)\": 3.309, \"(-4.24, -4.12)\": 3.199, \"(-4.12, -4.0)\": 3.095, \"(-4.0, -3.86)\": 2.988, \"(-3.86, -3.74)\": 2.876, \"(-3.74, -3.6)\": 2.769, \"(-3.6, -3.45)\": 2.66, \"(-3.45, -3.31)\": 2.553, \"(-3.31, -3.18)\": 2.449, \"(-3.18, -3.02)\": 2.348, \"(-3.02, -2.86)\": 2.241, \"(-2.86, -2.68)\": 2.137, \"(-2.68, -2.46)\": 2.018, \"(-2.46, -2.22)\": 1.912, \"(-2.22, -1.91)\": 1.808, \"(-1.91, -0.78)\": 1.706, \"(-0.78, -0.56)\": 1.81, \"(-0.56, -0.36)\": 1.915, \"(-0.36, -0.19)\": 2.018, \"(-0.19, -0.02)\": 2.132, \"(-0.02, 0.16)\": 2.234, \"(0.16, 0.31)\": 2.349, \"(0.31, 0.48)\": 2.473, \"(0.48, 0.64)\": 2.605, \"(0.64, 0.78)\": 2.716, \"(0.78, 0.92)\": 2.837, \"(0.92, 1.04)\": 2.939, \"(1.04, 1.19)\": 3.042, \"(1.19, 1.28)\": 3.154, \"(1.28, 1.42)\": 3.267, \"(1.42, 1.55)\": 3.367, \"(1.55, 1.68)\": 3.481, \"(1.68, 1.79)\": 3.587, \"(1.79, 1.9)\": 3.693, \"(1.9, 2.03)\": 3.794, \"(2.03, 2.12)\": 3.898, \"(2.12, 2.24)\": 4.008, \"(2.24, 2.36)\": 4.117, \"(2.36, 2.51)\": 4.22, \"(2.51, 2.63)\": 4.349, \"(2.63, 2.76)\": 4.464, \"(2.76, 2.87)\": 4.59, \"(2.87, 3.0)\": 4.693, \"(3.0, 3.09)\": 4.796, \"(3.09, 3.23)\": 4.908, \"(3.23, 3.36)\": 5.036, \"(3.36, 3.45)\": 5.141, \"(3.45, 3.58)\": 5.242, \"(3.58, 3.78)\": 5.417, \"(3.78, 3.87)\": 5.518, \"(3.87, 4.0)\": 5.643, \"(4.0, 4.12)\": 5.769, \"(4.12, 4.24)\": 5.872, \"(4.24, 4.37)\": 5.987, \"(4.37, 4.5)\": 6.12, \"(4.5, 4.6)\": 6.243, \"(4.6, 4.74)\": 6.347, \"(4.74, 4.83)\": 6.463, \"(4.83, 4.93)\": 6.564, \"(4.93, 5.05)\": 6.665, \"(5.05, 5.17)\": 6.764, \"(5.17, 5.31)\": 6.898, \"(5.31, 5.42)\": 7.001, \"(5.42, 5.54)\": 7.104, \"(5.54, 5.69)\": 7.27, \"(5.69, 5.81)\": 7.402, \"(5.81, 5.92)\": 7.508, \"(5.92, 6.05)\": 7.618, \"(6.05, 6.2)\": 7.73, \"(6.2, 6.35)\": 7.928, \"(6.35, 6.49)\": 8.041, \"(6.49, 6.62)\": 8.178, \"(6.62, 6.7)\": 8.29, \"(6.7, 6.83)\": 8.39, \"(6.83, 6.94)\": 8.504, \"(6.94, 7.1)\": 8.621, \"(7.1, 7.25)\": 8.799, \"(7.25, 7.37)\": 8.923, \"(7.37, 7.45)\": 9.023, \"(7.45, 7.57)\": 9.123, \"(7.57, 7.69)\": 9.239, \"(7.69, 7.83)\": 9.365, \"(7.83, 7.94)\": 9.478, \"(7.94, 8.05)\": 9.597, \"(8.05, 8.17)\": 9.698, \"(8.17, 8.3)\": 9.828, \"(8.3, 8.4)\": 9.944, \"(8.4, 8.51)\": 10.044, \"(8.51, 8.62)\": 10.159, \"(8.62, 8.74)\": 10.265, \"(8.74, 8.84)\": 10.374, \"(8.84, 8.96)\": 10.476, \"(8.96, 9.06)\": 10.607, \"(9.06, 9.18)\": 10.708, \"(9.18, 9.27)\": 10.81, \"(9.27, 9.4)\": 10.917, \"(9.4, 9.52)\": 11.038, \"(9.52, 9.63)\": 11.143, \"(9.63, 9.74)\": 11.26, \"(9.74, 9.86)\": 11.387, \"(9.86, 9.97)\": 11.49}\n", + "Means: {\"(-9.99, -0.02)\": -4014.4, \"(-0.02, 0.02)\": -3307.1, \"(0.02, 0.04)\": 3335.1, \"(0.04, 4.81)\": 3842.4, \"(4.81, 6.03)\": 4130.5, \"(6.03, 6.55)\": 4430.9, \"(6.55, 6.89)\": 4727.1, \"(6.89, 7.18)\": 5022.4, \"(7.18, 7.38)\": 5326.1, \"(7.38, 7.56)\": 5627.0, \"(7.56, 7.72)\": 5942.1, \"(7.72, 7.82)\": 6233.0, \"(7.82, 7.97)\": 6564.7, \"(7.97, 8.06)\": 6904.3, \"(8.06, 8.15)\": 7214.2, \"(8.15, 8.23)\": 7521.4, \"(8.23, 8.33)\": 7820.8, \"(8.33, 8.4)\": 8153.8, \"(8.4, 8.47)\": 8474.6, \"(8.47, 8.58)\": 8903.5, \"(8.58, 8.66)\": 9470.1, \"(8.66, 8.73)\": 9804.3, \"(8.73, 8.8)\": 10280.5, \"(8.8, 8.84)\": 10671.8, \"(8.84, 8.91)\": 11120.7, \"(8.91, 8.97)\": 11411.5, \"(8.97, 9.06)\": 12273.1, \"(9.06, 9.1)\": 12727.8, \"(9.1, 9.14)\": 13109.7, \"(9.14, 9.21)\": 13492.2, \"(9.21, 9.26)\": 14207.0, \"(9.26, 9.31)\": 14778.9, \"(9.31, 9.36)\": 15225.2, \"(9.36, 9.39)\": 15772.3, \"(9.39, 9.43)\": 16119.3, \"(9.43, 9.47)\": 16597.3, \"(9.47, 9.51)\": 17255.8, \"(9.51, 9.53)\": 17569.4, \"(9.53, 9.59)\": 17960.8, \"(9.59, 9.66)\": 19289.1, \"(9.66, 9.69)\": 19820.4, \"(9.69, 9.7)\": 20206.3, \"(9.7, 9.74)\": 20599.1, \"(9.74, 9.75)\": 20999.3, \"(9.75, 9.78)\": 21450.9, \"(9.78, 9.81)\": 21859.2, \"(9.81, 9.85)\": 22513.0, \"(9.85, 9.9)\": 23652.1, \"(9.9, 9.99)\": 24677.9}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3413,7 +2773,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3429,13 +2789,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.92, 5.37)\": 4.3, \"(5.37, 6.09)\": 234.0, \"(6.09, 6.48)\": 456.0, \"(6.48, 6.81)\": 688.8, \"(6.81, 7.06)\": 942.6, \"(7.06, 7.28)\": 1193.3, \"(7.28, 7.44)\": 1461.9, \"(7.44, 7.54)\": 1696.0, \"(7.54, 7.69)\": 1940.0, \"(7.69, 7.8)\": 2211.7, \"(7.8, 7.88)\": 2441.0, \"(7.88, 7.95)\": 2683.6, \"(7.95, 8.08)\": 2965.2, \"(8.08, 8.16)\": 3238.9, \"(8.16, 8.22)\": 3541.2, \"(8.22, 8.29)\": 3764.4, \"(8.29, 8.33)\": 4004.2, \"(8.33, 8.4)\": 4269.6, \"(8.4, 8.47)\": 4534.7, \"(8.47, 8.53)\": 4827.5, \"(8.53, 8.57)\": 5123.2, \"(8.57, 8.61)\": 5359.8, \"(8.61, 8.68)\": 5638.4, \"(8.68, 8.74)\": 6028.9, \"(8.74, 8.78)\": 6247.5, \"(8.78, 8.82)\": 6565.8, \"(8.82, 8.87)\": 6889.8, \"(8.87, 8.9)\": 7107.1, \"(8.9, 8.92)\": 7332.2, \"(8.92, 8.98)\": 7638.2, \"(8.98, 9.02)\": 8117.9, \"(9.02, 9.07)\": 8410.3, \"(9.07, 9.11)\": 8826.7, \"(9.11, 9.14)\": 9087.4, \"(9.14, 9.17)\": 9402.8, \"(9.17, 9.23)\": 9787.4, \"(9.23, 9.29)\": 10570.9, \"(9.29, 9.33)\": 10985.0, \"(9.33, 9.35)\": 11341.6, \"(9.35, 9.37)\": 11560.2, \"(9.37, 9.43)\": 11991.0, \"(9.43, 9.47)\": 12768.0, \"(9.47, 9.5)\": 13029.1, \"(9.5, 9.51)\": 13360.9, \"(9.51, 9.53)\": 13583.9, \"(9.53, 9.54)\": 13805.6, \"(9.54, 9.56)\": 14063.1, \"(9.56, 9.62)\": 14605.5, \"(9.62, 9.68)\": 15592.6, \"(9.68, 9.7)\": 16137.3, \"(9.7, 9.71)\": 16354.8, \"(9.71, 9.73)\": 16572.7, \"(9.73, 9.75)\": 16897.0, \"(9.75, 9.77)\": 17239.0, \"(9.77, 9.78)\": 17590.2, \"(9.78, 9.8)\": 17883.3, \"(9.8, 9.87)\": 18547.0, \"(9.87, 9.93)\": 20089.7, \"(9.93, 9.95)\": 20757.9, \"(9.95, 9.98)\": 21173.1, \"(9.98, 9.99)\": 21618.4}\n", + "Means: {\"(-9.98, -9.95)\": -0.338, \"(-9.95, -9.93)\": -0.373, \"(-9.93, -9.9)\": -0.406, \"(-9.9, -9.88)\": -0.439, \"(-9.88, -9.86)\": -0.468, \"(-9.86, -9.83)\": -0.499, \"(-9.83, -9.79)\": -0.553, \"(-9.79, -9.76)\": -0.587, \"(-9.76, -9.71)\": -0.641, \"(-9.71, -9.67)\": -0.704, \"(-9.67, -9.63)\": -0.752, \"(-9.63, -9.59)\": -0.795, \"(-9.59, -9.55)\": -0.835, \"(-9.55, -9.5)\": -0.887, \"(-9.5, -9.46)\": -0.939, \"(-9.46, -9.43)\": -0.976, \"(-9.43, -9.4)\": -1.008, \"(-9.4, -9.36)\": -1.037, \"(-9.36, -9.31)\": -1.071, \"(-9.31, -9.23)\": -1.138, \"(-9.23, -9.17)\": -1.189, \"(-9.17, -9.12)\": -1.22, \"(-9.12, -9.06)\": -1.256, \"(-9.06, -9.0)\": -1.301, \"(-9.0, -8.92)\": -1.331, \"(-8.92, -8.84)\": -1.361, \"(-8.84, -8.36)\": -1.389, \"(-8.36, -8.27)\": -1.351, \"(-8.27, -8.2)\": -1.304, \"(-8.2, -8.14)\": -1.27, \"(-8.14, -8.07)\": -1.226, \"(-8.07, -8.03)\": -1.193, \"(-8.03, -7.96)\": -1.151, \"(-7.96, -7.9)\": -1.066, \"(-7.9, -7.85)\": -1.023, \"(-7.85, -7.82)\": -0.994, \"(-7.82, -7.8)\": -0.957, \"(-7.8, -7.76)\": -0.927, \"(-7.76, -7.72)\": -0.886, \"(-7.72, -7.67)\": -0.831, \"(-7.67, -7.62)\": -0.787, \"(-7.62, -7.56)\": -0.713, \"(-7.56, -7.51)\": -0.649, \"(-7.51, -7.47)\": -0.585, \"(-7.47, -7.42)\": -0.538, \"(-7.42, -7.38)\": -0.465, \"(-7.38, -7.34)\": -0.422, \"(-7.34, -7.32)\": -0.372, \"(-7.32, -7.28)\": -0.326, \"(-7.28, -7.22)\": -0.241, \"(-7.22, -7.19)\": -0.197, \"(-7.19, -7.14)\": -0.141, \"(-7.14, -7.13)\": -0.104, \"(-7.13, -7.09)\": -0.073, \"(-7.09, -7.05)\": -0.008, \"(-7.05, -7.01)\": 0.04, \"(-7.01, -6.98)\": 0.108, \"(-6.98, -6.95)\": 0.14, \"(-6.95, -6.93)\": 0.171, \"(-6.93, -6.88)\": 0.224, \"(-6.88, -6.83)\": 0.293, \"(-6.83, -6.81)\": 0.345, \"(-6.81, -6.77)\": 0.375, \"(-6.77, -6.73)\": 0.415, \"(-6.73, -6.7)\": 0.49, \"(-6.7, -6.66)\": 0.529, \"(-6.66, -6.62)\": 0.579, \"(-6.62, -6.6)\": 0.619, \"(-6.6, -6.56)\": 0.652, \"(-6.56, -6.51)\": 0.73, \"(-6.51, -6.47)\": 0.769, \"(-6.47, -6.42)\": 0.83, \"(-6.42, -6.39)\": 0.862, \"(-6.39, -6.34)\": 0.909, \"(-6.34, -6.32)\": 0.953, \"(-6.32, -6.28)\": 0.983, \"(-6.28, -6.24)\": 1.013, \"(-6.24, -6.2)\": 1.05, \"(-6.2, -6.15)\": 1.088, \"(-6.15, -6.11)\": 1.135, \"(-6.11, -6.03)\": 1.185, \"(-6.03, -5.99)\": 1.22, \"(-5.99, -5.93)\": 1.256, \"(-5.93, -5.87)\": 1.289, \"(-5.87, -5.8)\": 1.32, \"(-5.8, -5.7)\": 1.358, \"(-5.7, -5.21)\": 1.386, \"(-5.21, -5.13)\": 1.35, \"(-5.13, -5.05)\": 1.303, \"(-5.05, -4.98)\": 1.26, \"(-4.98, -4.94)\": 1.219, \"(-4.94, -4.9)\": 1.19, \"(-4.9, -4.84)\": 1.158, \"(-4.84, -4.78)\": 1.092, \"(-4.78, -4.74)\": 1.059, \"(-4.74, -4.69)\": 1.018, \"(-4.69, -4.64)\": 0.958, \"(-4.64, -4.6)\": 0.904, \"(-4.6, -4.56)\": 0.868, \"(-4.56, -4.52)\": 0.835, \"(-4.52, -4.46)\": 0.759, \"(-4.46, -4.42)\": 0.69, \"(-4.42, -4.38)\": 0.648, \"(-4.38, -4.35)\": 0.616, \"(-4.35, -4.32)\": 0.581, \"(-4.32, -4.29)\": 0.541, \"(-4.29, -4.27)\": 0.495, \"(-4.27, -4.24)\": 0.457, \"(-4.24, -4.21)\": 0.421, \"(-4.21, -4.16)\": 0.375, \"(-4.16, -4.12)\": 0.295, \"(-4.12, -4.08)\": 0.267, \"(-4.08, -4.04)\": 0.174, \"(-4.04, -4.0)\": 0.139, \"(-4.0, -3.97)\": 0.095, \"(-3.97, -3.95)\": 0.06, \"(-3.95, -3.92)\": 0.016, \"(-3.92, -3.89)\": -0.02, \"(-3.89, -3.86)\": -0.066, \"(-3.86, -3.83)\": -0.098, \"(-3.83, -3.78)\": -0.16, \"(-3.78, -3.75)\": -0.229, \"(-3.75, -3.73)\": -0.259, \"(-3.73, -3.68)\": -0.291, \"(-3.68, -3.63)\": -0.391, \"(-3.63, -3.57)\": -0.435, \"(-3.57, -3.53)\": -0.521, \"(-3.53, -3.5)\": -0.559, \"(-3.5, -3.46)\": -0.599, \"(-3.46, -3.39)\": -0.676, \"(-3.39, -3.34)\": -0.76, \"(-3.34, -3.32)\": -0.789, \"(-3.32, -3.27)\": -0.821, \"(-3.27, -3.2)\": -0.915, \"(-3.2, -3.18)\": -0.946, \"(-3.18, -3.14)\": -0.982, \"(-3.14, -3.09)\": -1.013, \"(-3.09, -3.04)\": -1.07, \"(-3.04, -2.99)\": -1.11, \"(-2.99, -2.95)\": -1.15, \"(-2.95, -2.9)\": -1.182, \"(-2.9, -2.82)\": -1.23, \"(-2.82, -2.76)\": -1.272, \"(-2.76, -2.69)\": -1.309, \"(-2.69, -2.58)\": -1.337, \"(-2.58, -2.09)\": -1.391, \"(-2.09, -2.02)\": -1.356, \"(-2.02, -1.95)\": -1.326, \"(-1.95, -1.9)\": -1.295, \"(-1.9, -1.85)\": -1.264, \"(-1.85, -1.78)\": -1.229, \"(-1.78, -1.72)\": -1.171, \"(-1.72, -1.68)\": -1.121, \"(-1.68, -1.62)\": -1.074, \"(-1.62, -1.54)\": -1.035, \"(-1.54, -1.48)\": -0.943, \"(-1.48, -1.46)\": -0.901, \"(-1.46, -1.44)\": -0.873, \"(-1.44, -1.4)\": -0.844, \"(-1.4, -1.37)\": -0.804, \"(-1.37, -1.32)\": -0.773, \"(-1.32, -1.27)\": -0.684, \"(-1.27, -1.23)\": -0.638, \"(-1.23, -1.2)\": -0.59, \"(-1.2, -1.12)\": -0.553, \"(-1.12, -1.05)\": -0.408, \"(-1.05, -1.03)\": -0.373, \"(-1.03, -0.97)\": -0.317, \"(-0.97, -0.9)\": -0.183, \"(-0.9, -0.88)\": -0.152, \"(-0.88, -0.86)\": -0.122, \"(-0.86, -0.83)\": -0.083, \"(-0.83, -0.81)\": -0.052, \"(-0.81, -0.78)\": -0.021, \"(-0.78, -0.75)\": 0.034, \"(-0.75, -0.72)\": 0.072, \"(-0.72, -0.68)\": 0.111, \"(-0.68, -0.64)\": 0.176, \"(-0.64, -0.6)\": 0.217, \"(-0.6, -0.55)\": 0.286, \"(-0.55, -0.5)\": 0.366, \"(-0.5, -0.46)\": 0.419, \"(-0.46, -0.44)\": 0.456, \"(-0.44, -0.41)\": 0.497, \"(-0.41, -0.38)\": 0.53, \"(-0.38, -0.33)\": 0.576, \"(-0.33, -0.29)\": 0.655, \"(-0.29, -0.25)\": 0.69, \"(-0.25, -0.19)\": 0.757, \"(-0.19, -0.15)\": 0.795, \"(-0.15, -0.1)\": 0.868, \"(-0.1, -0.06)\": 0.917, \"(-0.06, -0.02)\": 0.957, \"(-0.02, 0.01)\": 0.986, \"(0.01, 0.05)\": 1.024, \"(0.05, 0.14)\": 1.072, \"(0.14, 0.23)\": 1.158, \"(0.23, 0.34)\": 1.23, \"(0.34, 0.41)\": 1.293, \"(0.41, 0.48)\": 1.323, \"(0.48, 0.58)\": 1.356, \"(0.58, 1.07)\": 1.386, \"(1.07, 1.13)\": 1.347, \"(1.13, 1.23)\": 1.305, \"(1.23, 1.27)\": 1.276, \"(1.27, 1.34)\": 1.231, \"(1.34, 1.38)\": 1.198, \"(1.38, 1.41)\": 1.169, \"(1.41, 1.46)\": 1.136, \"(1.46, 1.5)\": 1.102, \"(1.5, 1.52)\": 1.07, \"(1.52, 1.59)\": 1.041, \"(1.59, 1.64)\": 0.956, \"(1.64, 1.66)\": 0.923, \"(1.66, 1.7)\": 0.885, \"(1.7, 1.74)\": 0.836, \"(1.74, 1.77)\": 0.806, \"(1.77, 1.8)\": 0.768, \"(1.8, 1.83)\": 0.725, \"(1.83, 1.86)\": 0.689, \"(1.86, 1.89)\": 0.657, \"(1.89, 1.92)\": 0.628, \"(1.92, 1.96)\": 0.579, \"(1.96, 1.97)\": 0.541, \"(1.97, 2.02)\": 0.511, \"(2.02, 2.07)\": 0.454, \"(2.07, 2.13)\": 0.352, \"(2.13, 2.18)\": 0.274, \"(2.18, 2.22)\": 0.24, \"(2.22, 2.28)\": 0.153, \"(2.28, 2.33)\": 0.092, \"(2.33, 2.38)\": 0.004, \"(2.38, 2.4)\": -0.043, \"(2.4, 2.45)\": -0.079, \"(2.45, 2.48)\": -0.154, \"(2.48, 2.5)\": -0.187, \"(2.5, 2.53)\": -0.226, \"(2.53, 2.56)\": -0.262, \"(2.56, 2.58)\": -0.297, \"(2.58, 2.61)\": -0.328, \"(2.61, 2.64)\": -0.379, \"(2.64, 2.68)\": -0.413, \"(2.68, 2.74)\": -0.5, \"(2.74, 2.76)\": -0.532, \"(2.76, 2.8)\": -0.578, \"(2.8, 2.82)\": -0.612, \"(2.82, 2.86)\": -0.656, \"(2.86, 2.89)\": -0.699, \"(2.89, 2.93)\": -0.751, \"(2.93, 2.98)\": -0.786, \"(2.98, 3.04)\": -0.861, \"(3.04, 3.09)\": -0.902, \"(3.09, 3.12)\": -0.96, \"(3.12, 3.15)\": -0.992, \"(3.15, 3.2)\": -1.027, \"(3.2, 3.24)\": -1.057, \"(3.24, 3.28)\": -1.097, \"(3.28, 3.31)\": -1.128, \"(3.31, 3.37)\": -1.158, \"(3.37, 3.44)\": -1.221, \"(3.44, 3.5)\": -1.259, \"(3.5, 3.59)\": -1.305, \"(3.59, 3.66)\": -1.337, \"(3.66, 3.79)\": -1.37, \"(3.79, 4.17)\": -1.402, \"(4.17, 4.24)\": -1.372, \"(4.24, 4.3)\": -1.342, \"(4.3, 4.36)\": -1.307, \"(4.36, 4.42)\": -1.278, \"(4.42, 4.5)\": -1.233, \"(4.5, 4.54)\": -1.176, \"(4.54, 4.59)\": -1.147, \"(4.59, 4.62)\": -1.108, \"(4.62, 4.65)\": -1.076, \"(4.65, 4.7)\": -1.045, \"(4.7, 4.74)\": -0.994, \"(4.74, 4.77)\": -0.961, \"(4.77, 4.8)\": -0.926, \"(4.8, 4.85)\": -0.886, \"(4.85, 4.88)\": -0.85, \"(4.88, 4.92)\": -0.806, \"(4.92, 4.97)\": -0.748, \"(4.97, 4.99)\": -0.703, \"(4.99, 5.04)\": -0.668, \"(5.04, 5.08)\": -0.606, \"(5.08, 5.1)\": -0.561, \"(5.1, 5.13)\": -0.532, \"(5.13, 5.16)\": -0.496, \"(5.16, 5.19)\": -0.452, \"(5.19, 5.22)\": -0.415, \"(5.22, 5.27)\": -0.373, \"(5.27, 5.32)\": -0.277, \"(5.32, 5.34)\": -0.248, \"(5.34, 5.36)\": -0.207, \"(5.36, 5.4)\": -0.174, \"(5.4, 5.44)\": -0.117, \"(5.44, 5.47)\": -0.074, \"(5.47, 5.49)\": -0.04, \"(5.49, 5.53)\": 0.018, \"(5.53, 5.56)\": 0.063, \"(5.56, 5.61)\": 0.116, \"(5.61, 5.66)\": 0.2, \"(5.66, 5.69)\": 0.243, \"(5.69, 5.72)\": 0.282, \"(5.72, 5.74)\": 0.324, \"(5.74, 5.78)\": 0.359, \"(5.78, 5.83)\": 0.417, \"(5.83, 5.87)\": 0.481, \"(5.87, 5.91)\": 0.539, \"(5.91, 5.94)\": 0.582, \"(5.94, 5.98)\": 0.629, \"(5.98, 6.03)\": 0.684, \"(6.03, 6.08)\": 0.752, \"(6.08, 6.12)\": 0.804, \"(6.12, 6.15)\": 0.836, \"(6.15, 6.18)\": 0.872, \"(6.18, 6.22)\": 0.918, \"(6.22, 6.25)\": 0.95, \"(6.25, 6.31)\": 0.992, \"(6.31, 6.34)\": 1.039, \"(6.34, 6.37)\": 1.068, \"(6.37, 6.43)\": 1.105, \"(6.43, 6.49)\": 1.145, \"(6.49, 6.54)\": 1.192, \"(6.54, 6.63)\": 1.244, \"(6.63, 6.7)\": 1.287, \"(6.7, 6.78)\": 1.332, \"(6.78, 6.91)\": 1.369, \"(6.91, 7.32)\": 1.398, \"(7.32, 7.43)\": 1.367, \"(7.43, 7.5)\": 1.308, \"(7.5, 7.57)\": 1.278, \"(7.57, 7.6)\": 1.241, \"(7.6, 7.66)\": 1.209, \"(7.66, 7.72)\": 1.158, \"(7.72, 7.76)\": 1.117, \"(7.76, 7.79)\": 1.085, \"(7.79, 7.86)\": 1.031, \"(7.86, 7.91)\": 0.966, \"(7.91, 7.96)\": 0.915, \"(7.96, 8.01)\": 0.844, \"(8.01, 8.07)\": 0.804, \"(8.07, 8.14)\": 0.715, \"(8.14, 8.18)\": 0.66, \"(8.18, 8.22)\": 0.589, \"(8.22, 8.27)\": 0.551, \"(8.27, 8.29)\": 0.51, \"(8.29, 8.33)\": 0.476, \"(8.33, 8.38)\": 0.382, \"(8.38, 8.41)\": 0.346, \"(8.41, 8.44)\": 0.31, \"(8.44, 8.49)\": 0.243, \"(8.49, 8.52)\": 0.189, \"(8.52, 8.55)\": 0.154, \"(8.55, 8.58)\": 0.109, \"(8.58, 8.62)\": 0.071, \"(8.62, 8.67)\": 0.006, \"(8.67, 8.72)\": -0.088, \"(8.72, 8.75)\": -0.139, \"(8.75, 8.79)\": -0.176, \"(8.79, 8.85)\": -0.274, \"(8.85, 8.9)\": -0.325, \"(8.9, 8.93)\": -0.387, \"(8.93, 8.97)\": -0.428, \"(8.97, 9.02)\": -0.491, \"(9.02, 9.04)\": -0.536, \"(9.04, 9.07)\": -0.568, \"(9.07, 9.12)\": -0.611, \"(9.12, 9.18)\": -0.68, \"(9.18, 9.22)\": -0.764, \"(9.22, 9.26)\": -0.797, \"(9.26, 9.31)\": -0.853, \"(9.31, 9.37)\": -0.91, \"(9.37, 9.44)\": -0.958, \"(9.44, 9.49)\": -1.041, \"(9.49, 9.54)\": -1.072, \"(9.54, 9.58)\": -1.122, \"(9.58, 9.62)\": -1.152, \"(9.62, 9.66)\": -1.187, \"(9.66, 9.75)\": -1.221, \"(9.75, 9.84)\": -1.289, \"(9.84, 9.9)\": -1.32, \"(9.9, 9.96)\": -1.349}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3445,7 +2805,7 @@ }, { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAHHCAYAAABtF1i4AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAABKYElEQVR4nO3de3hTVbo/8O9uepfeoNACFgrMCCgKSqW0HgYvPVbGwwEVQfQnUAEFYUTqcaQOUlGkXlHHQYog4G0Ot1H0CAcGUJyjLUILjrcCwnBVUu60QGlKsn5/YELSJm12kp19+36ep89D0r2bFbKy9rvXetdakhBCgIiIiEglEWoXgIiIiMyNwQgRERGpisEIERERqYrBCBEREamKwQgRERGpisEIERERqYrBCBEREamKwQgRERGpisEIERERqYrBCJFJZWZm4umnn5Z1jiRJss9xd+bMGbRr1w4ffPBBwH8jUKWlpejUqRPq6+ub/G7JkiWQJCnsZSKiixiMEFHYvP7660hISMA999wT8N/47rvvIEkStmzZguPHj+Oll17C7373O7Rt2xbJycno378/li1b1uS8MWPGwGazYf78+cG8BSJSAIMRIvJbXV0dpk+fHtC5DQ0NeP311zFu3DhYLJaAy7B69Wq0a9cO119/PcrLy/GnP/0JrVu3xvTp0/Hcc88hPj4e99xzD4qLiz3Oi42NxejRozFnzhxwSy4ibWEwQkR+i42NRWRkZEDnfvrppzh69CiGDx8eVBnWrFmDQYMGQZIkXHXVVfjpp5+watUqTJkyBZMmTcLGjRtx880344UXXsDZs2c9zh0+fDj279+Pzz//PKgyEFFoMRghIgBARUUF8vPzkZqairi4OHTp0gUPPPCAxzGNc0aefvppSJKE3bt3Y8yYMUhOTkZSUhIKCgpw7tw5j3NXrVqFzMxMdOvWzfXckSNH0LZtW9x4440evRW7d+/GZZddhhEjRnj8jVOnTqGsrAy33347AKBLly7o3LlzkzIOHToU9fX1+Ne//uXxu759+6J169b4+OOP5f8HEZFiArvFISJDOXLkCG699Va0bdsW06ZNQ3JyMvbt24cPP/zQr/OHDx+OLl26oKSkBNu2bcPChQvRrl07vPDCC65jysrKcN1113mc165dO8ybNw9333033njjDTzyyCNwOBwYM2YMEhIS8Oabb3ocv27dOkiShFtvvbXZ8litVgBAampqk99dd911+Oqrr/x6X0QUHgxGiAhlZWU4efIk/v73vyMrK8v1/KxZs/w6/9prr8Xbb7/tenz8+HG8/fbbrmDkwoUL2LNnD4YMGdLk3GHDhmHkyJEoKirCoEGD8PHHH+Orr77CqlWr0KZNG49jV69ejRtuuAFJSUk+y3LixAksXLgQAwYMQPv27Zv8vmvXrnjvvff8el9EFB4cpiEiJCcnA7iY19HQ0CD7/AkTJng8HjBgAI4fP46amhoAFwMEIQRSUlK8nv+Xv/wFSUlJGDZsGJ566incf//9TQIXh8OBtWvXuoZovHE4HLjvvvtw6tQpvPHGG16PSUlJQV1dXZNhJCJSD4MRIsLAgQNx1113YebMmUhNTcWQIUOwePFir2tyeNOpUyePx86g4+TJkx7P+5rF0rp1a/z5z3/Gt99+i6SkJPz5z39ucszWrVtx9OjRZoORP/zhD1i7di0WLlyI3r17ez3GWQauK0KkHQxGiAiSJGHlypUoLy/H5MmT8fPPP+OBBx5A3759cebMmRbP9zVV13nhb926NSRJahKcuFu3bh2AiwHMoUOHmvx+zZo1yMzMxJVXXun1/JkzZ+LNN9/E888/j/vvv9/n65w8eRLx8fGIi4vzeQwRhReDESJy6d+/P5577jlUVFTggw8+wA8//IClS5cG/XcjIyPRrVs37N271+vvnb0Zf/zjH9G2bVuMHj0aFy5c8Dhm9erV+P3vf+/1/Llz5+Lpp5/Go48+iieeeKLZsuzduxc9e/YM7I0QkSIYjBARTp482WQIpU+fPgDg91BNS3JyclBRUdHk+VOnTmHcuHHo168fZs+ejYULF2Lbtm2YPXu265jq6mps27bN6xDNsmXL8Mgjj+C+++7DnDlzWizHtm3bkJubG9ybIaKQ4mwaIsI777yDN998E3fccQe6deuG2tpaLFiwAImJiT57I+QaMmQI3nvvPezatQtXXHGF6/kpU6bg+PHj2LBhAywWC2677TaMGzcOs2bNwpAhQ9C7d2+sWbMGsbGxuOmmmzz+5pYtWzBq1Ci0adMGt9xyS5M9b3Jzc9G1a1fX48rKSpw4ccLrrB4iUg+DESLCwIEDsWXLFixduhTV1dVISkpCv3798MEHH6BLly4heY3BgwcjNTUVy5cvdy0p/8knn+Ddd9/FK6+8gh49eriOnTNnDtavX4/Ro0dj69atWLNmDW666aYmeR4//vgjbDYbjh492mSBNgBYvHixRzCyYsUKdOrUCTfffHNI3hMRhYYkuEkDkSllZmZizJgxQe3CK9ezzz6LxYsX46effvJ7f5oLFy6gTZs2KCkpwcMPPxzwa9fX1yMzMxPTpk3DlClTPH63ZMkSFBQUcM8aIpUwZ4SIwmbq1Kk4c+aMrKTYEydOYOrUqbjjjjuCeu3FixcjKiqqyZooRKQ+DtMQUdi0atUKR44ckXVOu3btQtJ7M2HCBAYiRBrFnhEiIiJSFXNGiIiISFXsGSEiIiJVMRghIiIiVekigdXhcOCXX35BQkICN7ciIiLSCSEEamtr0aFDB0RE+O7/0EUw8ssvvyAjI0PtYhAREVEADh48iMsvv9zn73URjCQkJAC4+GYSExNVLg0RERH5o6amBhkZGa7ruC+6CEacQzOJiYkMRoiIiHSmpRQLJrASERGRqhiMEBERkaoYjBAREZGqGIwQERGRqhiMEBERkaoYjBAREZGqGIwQERGRqhiMEBERkaoYjBAREZGqZAcj//jHPzB48GB06NABkiRh1apVLZ6zadMmXHfddYiJicFvfvMbLFmyJICiEhERkRHJDkbOnj2L3r17Y+7cuX4dv3fvXtx+++246aab8M033+DRRx/FuHHjsG7dOtmFJSIiIuORvTfNoEGDMGjQIL+PLy0tRZcuXfDKK68AAHr27Ikvv/wSr776KvLz8+W+PBERERmM4hvllZeXIy8vz+O5/Px8PProoz7Pqa+vR319vetxTU2NUsUjCjkhBOoa7LLPi4uytLiZFBGRESkejFitVqSlpXk8l5aWhpqaGtTV1SEuLq7JOSUlJZg5c6bSRWsRLyoklxACw0rLUbn/pOxzszqnYMWEHNYdkwqkvWFbY25GukYpHowEoqioCIWFha7HNTU1yMjICGsZhBC4a145th2Qf1Hp2zkFK3lRMaW6BntAgQgAVOw/iboGO+KjNfm1JAUJIXDnm2XYfvCUrPPY1phXMDc+13VKxt8m5mqq3ije6qWnp6O6utrjuerqaiQmJnrtFQGAmJgYxMTEKF20ZtU12AMKRACgkhcVAlAxPQ/x0ZYWjztnsyNr1oYwlIi0qq7BLjsQAdjWmFkwNz7bDpzSXL1RvCQ5OTlYs2aNx3Pr169HTk6O0i8dMryoUEuc3aXnbJe6TOOjLbK/7Odsdk12oVLouXexu9cbf9ob97bGeS7rjXkZ4RolOxg5c+YMdu/e7Xq8d+9efPPNN2jdujU6deqEoqIi/Pzzz3j33XcBABMmTMBf/vIX/PGPf8QDDzyAzz77DMuXL8fq1atD9y5CxFfjEOhFBWADYQZCCNw5rwzbD5wK+m9lzdrA3BETaK6LXW5747y4sN6YQyhvfADtXKNkByMVFRW46aabXI+duR2jR4/GkiVLcPjwYRw4cMD1+y5dumD16tWYOnUqXn/9dVx++eVYuHCh5qb1BjP+5g0bCPOoa7A3CUSyOqcgLqrlOxXgYmPQJyMZ3/zaTc/cEePz1cXub72Ji7Igq3MKKtz+BuuN8YX6xgfQTt6R7Fp74403Qgjh8/feVle98cYbsX37drkvFVbBNg4AGwi61F0q525DkiR89HAujp2px/XPbVS4hKQ17l3s/tYbSZKwYkKO6w5Zq13vFFrebnz6BnmN0kreEa+QXgTSOABsIMwmVN2lwMW6c1nMpfOYO2JcQoiQ1ZnG57HeGJO3tibQGx+tXqMYjCB0jQPABsIsQj2s1xhzR4yJ9Ybk8lVnQhnEaoHpd+11ftBKRohZszbg7tLyZoe3SF+8DevJGdLzxtmF6uQc4iPjaFxv5HSx+xIXZUFf1hvDUqKtaexobT3OnG9Q9RqlvfAozJRoHICmY3PMHTGOxj1pgXSXeuPsQj1+1qap7lMKDW/1ps1l0UH3YEiShJWN6g17Y40pVG1NYwNf2gQA+PGZfNWuUaa9MvoagwtF4wDwwmJU3rpMgxnWa+xiF+qlYJgXFWPwVW9C9bk2rjccrjGmULY13pJZ1WTaYKSuwY4rZ6zzeC6UjQPAC4sRNe5J65ORHNLu0sayZm3QzNQ7ClzjenNtp9DXG04RN57GvWmh5J7M6qRkW9YS1tJfKdE4NMa7FWMJZU+au8Z3LFqZekehoVS9cU4RZ2+sMSid7AxoK5lVG6VQQVyUBT8+k+/xWIkAwZlcVsncEd3zNutKiTrDIT5jU6reAE17Y0m/GvemhTppVWtMe0UMV0ToLbmMk2r0Jxx3Ke44xGccSna1t4T1Rr/crxNK9aZpiemn9oZD4wsLp/nqT7hzRRrj9HB9CsfSAc1hvdGni/WmzPVYyd40rWAwEiZxURZckdYKAPDj4RquA6BjFdPz8NHDuYo3Dlx3RP/U6GqPi7Lg2k7JrsesN/pT12BH1eFaAEDP9gmGHp5xYjASJpIkYflDOWoXg0IgXHcpztyRiul5ir8WKa9iel5YktclScKHE3NZbwxi5QTlb3y0gMFIGEVH8r9br9Tq5faWO8Iud/1w/6jC2dXeuN6wyuhH4xwjE8QhABiMqIYXFf1oPH6rpqxZGzCMOQC6IITAXfO0UW+YN6IPaucYqYnBiEqYWKYf7uO3V7ZPDPv4bVyUBde55QBUMgdAF+oa7NhhVbfe9ExPAMA8Nb0w23RedwxGwogJifqnxoJ1kiThb8wB0DW16s3KiblhfU0KnXDlGGkFg5EwYkKi/qnVLnAxK33Ryri/++uyE1bbwrWoolaZdtEztTCxTF/UXLCK9CncC+T56+7Scqx+5N9MdYHTC63WmXBiz4jKmDeiXUII3DG3zJTJZBQ4LY37x0VZ0LM980a0rnGd6WuiXBEn9oyoIC7KgivbJ+LHwzWuBoJ71WhPXYMd3xw65XpspmQyCg21l/G+uB1FLq4qXtfywaQJatcZtbBnRAXO3BHStsZ7Q5gpmYwCp9baIr4wb0RftFBn1MBgRCVsILTNjHtDUPCEELi7tFztYvh057wyDguTJjEY0YBhpWwgtEbttUVawkXztKmuwY4fD9cA0E69cQ4LA8BOay3zRjSIX2UGI6pxbyCqDrOB0DItDs9kzdqAu3iXq2laqTeNh4VZZbRFSys8q4nBiEqYN6Jt7g22Bq4nAJoumrftwCkGsRqilbVFvHEvC2fwaYt7L2z3dHPs0OsNp3CoiHkj2qTVcX9nAHv8rI3TjTVG6+tEcAafPnw40Rw79HrDnhGNYJe7dmhx3N+Ji+Zpk5bWFvGGPbHapcVeWDUwGFGRe97IDiaWaZJWxv19YRCrPVqdBq6x4hB+7VHTyM7OamMwoiImlmmfFhtwBrHao7W1RVrCtkYb6hrsqFJxZ2ctYTCiMvc2i1N81aeHvWjY5a4tWs0xag6TWLVHi71p4cRgRGWc4qsdQgjcOU8fe9Ew+Vk73HOMerbX7mwI97aG+9SoT8uzr9TAYERlvMvVjroGO7YfOOV6rLUkRF/ufJM9alqxcoJ2Z0OwrdEO5+wrPdz4hAvndmmAe9t1zmZHXJT2x5yNTuubVblP1dxZXcupmhqh0eriwrZGG7Q++0oN7BnRmKxZGzieqwFaT0JsfJfL5eHVo9f/drY12qDV2VfhxmBEAxqvrFmx/yTHc8NMD4mrjbm3XbywqENvyatsa7RBb7OvwoHBiAY473IrpuepXRRT0uv4LS8s6tPyAnnesK1Rn94C2HBhMKIRjVfWpPDR6/gtLyzaopeudrY16nIPYHuYeC+axpjxRuRG64mrjXF5eHUZYSlv1hn1/M3Ee9E0xp4RIjd6H79l3kj4GGUpb24pEF5GCGCVwGCESOfioiy4Iq0VAC5mFU56XsqbWwqog/kivjEY0SjbBYfaRSCdkCQJHz18g9rFMDW95Is4cQE0dTBfxDcGIxo1fD6728l/OroOGoIRlvLWY5mNhPkinpjAqiHuq2ruqj7DVTXDxGgxn9Hej9Y4p4K7z8DSO9aZ8GC+iG/sGdEQdp2Gn3NzPCNhEquy9DoVvDncMVx5zBdpHm+7NYbRcnjVNdix89ckRC3vuNoS9141ZxIre9WUp7ep4O7c64xzx3DWGeXoZXdntbBnhEyr8bi/lndcbQl71dSh56ngrDPq0XNboxSGwRrGXTWV423cX+//ze7lZ487+YO7+IYP80Wax54RDcuatQHDOP6vCCOO+7tjDgDJxc0WlcN8kZYxGNGYxpufVXLzM8V9/eQtulsnwhv3xc+cOQBEzeFmi+HB9UVaxmBEY5zjuJuLbla7KKaREBup+0AE4OJn4WKkjgNuthh+XF/EOwYjGiRJEhLjotQuBukQ2zhlXcw1MtZUcO7iqzzmi7SMwQgRkZ/qGuyoOqz/qeAUPswX8Q+DER0wUrcwkVEYdXom25vQcs8X0duGiuHEYEQH7uQW30SaYIbuds6oUY4REuWVwmBEo9y3+N7JLb4pADV1DbyohJAQAncZbOsAp7goC3qmJwCAawVfCj3GIb4xGNEoro6oHCEEausa1C6G4vqXfMa73BCqa7Bjx69bBxitu12SJKycmKt2MQyJXz//cAVWDWMUHXpG3HHVnXPdiIpf359z3QjuORI894uKEbvbuYJv6DF51X8B9YzMnTsXmZmZiI2NRXZ2NrZs2dLs8a+99hq6d++OuLg4ZGRkYOrUqTh//nxABSYKRuOVV/sabOVVrhuhjMYXFYPFIU2wRy00mLzqP9m3S8uWLUNhYSFKS0uRnZ2N1157Dfn5+di5cyfatWvX5Pi//vWvmDZtGhYtWoTc3Fzs2rULY8aMgSRJmDNnTkjeBFEg9LzjanO4bkTomeGiEhdlQY/0BOyw1nLnZwUYsTctlGT3jMyZMwfjx49HQUEBrrzySpSWliI+Ph6LFi3yenxZWRluuOEG3HvvvcjMzMStt96KkSNHttibQp7O2ey8UwkB9/9CPe+4Suox6kVFkiSseIh5aqFkhtlXoSIrGLHZbKisrERe3qUu4IiICOTl5aG83Pu4WG5uLiorK13Bx7/+9S+sWbMGv//9732+Tn19PWpqajx+zI6b5gXPrOO3rDLBM8tFxWIx8JsLM7O2N4GSFYwcO3YMdrsdaWlpHs+npaXBarV6Pefee+/FM888g3/7t39DVFQUunXrhhtvvBFPPvmkz9cpKSlBUlKS6ycjI0NOMQ2Dm+aFlntXu5lWz+T4f3B4UaFAcHM8eRSf2rtp0ybMnj0bb775JrZt24YPP/wQq1evxrPPPuvznKKiIpw+fdr1c/DgQaWLqUnOZMQv/3iT2kUxHKOunukUF2VB9zSuGxEKZsgX8Ybxa+hwc7yWyQpGUlNTYbFYUF1d7fF8dXU10tPTvZ7z1FNP4f7778e4ceNw9dVX44477sDs2bNRUlICh8Ph9ZyYmBgkJiZ6/JiVJElo3Spa7WIYglm62oGL9ebDh7luRKgZNV/Em2GlXPk5GGZqb0JBVjASHR2Nvn37YuPGja7nHA4HNm7ciJwc74lP586dQ0SE58tYLBfvLFjRKVzM2NXOdSNCw0wXFeeMGgCoOsyVnwNlxvYmWLKHaQoLC7FgwQK88847qKqqwsSJE3H27FkUFBQAAEaNGoWioiLX8YMHD8a8efOwdOlS7N27F+vXr8dTTz2FwYMHu4IS8t8FO68qgXDvau+eZr7xW+aNBMZsFxVJkvDf4/urXQzdM+vQXjBkTyIfMWIEjh49ihkzZsBqtaJPnz5Yu3atK6n1wIEDHj0h06dPhyRJmD59On7++We0bdsWgwcPxnPPPRe6d2EiI+aXY82UAabpKlbChw+bY/zWud9IFdeNCJgZLyoxUdwlJJTMNLQXjIBapsmTJ2Py5Mlef7dp0ybPF4iMRHFxMYqLiwN5KcKlTfN+PFyDql83zeNFJXBmaRec+41cVbxO7aIYghkvKuxMC57JqkzAGALrADfNo0AxbyR0zHhR4fAehQuDEZ3gRYWCxQsL+cPZEwtwWnig+DWTj8GIDvGiIp9Z/7t4YQmOGesNe2KDI4TAHW9+pXYxdIfBiE7wohI4s82IcMcLS+DMXW/ULoF+1TXYsav6DADzJD2HAoMRneBFJXBmX5aZF5bAmHX7gMbM2DsUKmZMeg4UgxEdYd5I8JY92J+NA8lm9O0DmsOVWANn0ioTEAYjOsW8Ef/ZLlzadiAqklWe5DPbRcV9WJgrsVI4sGXWEeaNyCeEwMgFm9UuBumQmWN9DgtTuDEY0RE2EPLVNdhRdbgWgDnzRSgwQggMm1emdjFUZbbeoFAQQmD/8XNqF0OXuIynzrCBCNySgutNO+7vZOa7fTnqGuyosl4MYjkjgvwhhMCw0nJU7j+pdlF0iT0jZBqtYhh7MxlRPs6IAM7ZLqhdBM2ra7B7BCJZnVMYxMrAYETH7NzBV5aICHNeUJiMGByTxyEAgB2HaxnEyrB2ygAGsTIxGNGx4W9xRg21jLlGFKz/9/YWzuCToVObeAYiMjEY0Zm4KAu6pycA4F0u+Y/tojy85l5sa7I6p7geV+w/yfaGFMNgRGckScKHE3PVLgbpGC+0zRNC4E6Tz6QBLvWoffZfA9UuCpkAgxEd4l2uf4QQOGfjnVxjTGJtXl2DHTs5kwbAxYAkPTFW7WLoAr9SweH0AjIkTrPz5Exi/fFwjWt4Lz6aX/+WMAmR/GHmTRVDhT0jOtfgttQ5XcJpdp6YxBoYxiHkD/dNFbuntTJ1WxMoBiM6d89bm9nl3oLyaTfzDhfcaNFf/L+hYHwwjptxBoLBiA55rBth5YyaliTFR7FxaITTNL0TQuAuJq9SEOJj2CsSCAYjOsQudwoEN1psWV2DHTuYvOoTA1hSCoMRnWKXO8nFIFYeDu01VXuey8KTMhiMGAC73MlfvLb6j/9XTY1ZvJVtDSmCwYhOscudiMLBva3ZwRw1rxifBY/BiE6xy715bByIQkOSJCx/qL/axdAsIQSGMek5aAxGdIzdyN5xASL/MGDzxBV7fXPf8Zr1xlNdgx1VTHoOGoMRg2ADcYn7AkRsHHwbNo/Lwjs5V+zNmrVB7aJoHnPUPLn/VzDpOXAMRgyCDYR3bBw8cY0a77hib/OYo+Zd415YNjWBYzCiY2wgWsbGwVPjXCPGr01VTM9jENsIc9S8Yy9s6DAY0TE2EBQI92sse9Saio+2MBDxgmsbNY8BbHAYjOgc635TbCibxx41ChaD2KbYFgeHwYiBsG1wJiJyml1z2KPWFL87LYuLsqBnegIABrEUegxGDIR3K79OszvMaXYt4V3cJZwK7h9JkrByYq7axdAUkze3IcVgROd4t+KJ0+xILvckxB7pCQxgm8Gv0yXshQ0tBiM6x7uVSzjNLjC8u7tkxUMMYP1l9nrDXtjQYjBiAGw7L+I0u8BweO8Si4VfJn+x3lzCXtjgMRghQxBC4HRdg+sxG4fmcUYNBSIuyoKe7Tks3BibmuAxGCFDEAI4dKLO9ZiNQ/M4o4YCIUkSVk7gsDDAYapQYzBiMPyCkL+4iBUFgoE+Z2ApgcGIwZh1HFcIgfPsMg6YWesNUSCYnxZ6DEYMwOzjuEIIDJ+/Gfcv2qJ2UXTF7PXGiTEYBYP5aaHBYMQAJEnCiofMO/5f12BH5YFLO65e2ymZdyp+4Pj/r2tFzONaERQ4xiGhEal2ASg0IiL4jQCA9x7ohz6dknmn4iez/zfVNdhRZeVaESQPe9NCjz0jZCixUdxxNVBmb2DZ3U7+YPKqMhiMEBEAJrEyDpHvwIlzpqsz7smrPdtz+4BQYTBChnJ5ShxiI1mt/WX2JFaTXUdD7rbX/s/UQezKCbnsTQsRttpkKEnxUYi0sFr7y8xJrOxuD0xclAVZnVNcjyv2nzRdEOvEOCR02Gob0IkzNtPeqZB8Zm1QuVZEYJyr95ZNu0ntopCBMBgxoH978XNTd50SycXkVXkkSUJyfLTaxVAFm1VlMBgxCHadEsnjflFhHEL+4NCechiMGISz67Riep7aRSHSPF5UKBAc2lMOgxEDkSQJ8dH8chC1hBcVChaH9kKLwQgRmRovKsEzYx4Fq0xoMRghXbNdcOBM/QW1i0E6xotK8MySMG+G96gWBiOkazXnG7D/2Dm1i2EYDRccaheBdMKMC+Y12BmMKIXBCBG53LNgM+/+yC9mWzBPCIGRCzarXQzDYjBCuiaEwHkT3JEpKS7KgivbJwIAqg7XmuIOl0LDfYjL6DFsXYMdVYcv7vDMPWlCL6BgZO7cucjMzERsbCyys7OxZcuWZo8/deoUJk2ahPbt2yMmJgZXXHEF1qxZE1CByX9GbxyEEBj7TgXuX9R8/aPmOaeFm4nDYfAvhwrMkjcCAMseZNJzqMkORpYtW4bCwkIUFxdj27Zt6N27N/Lz83HkyBGvx9tsNvz7v/879u3bh5UrV2Lnzp1YsGABOnbsGHThqXnDSssM3TjUNdjx7aHTrsdZnVN4txIgM93hco2R0DFj3ggARFoYiISa7GBkzpw5GD9+PAoKCnDllVeitLQU8fHxWLRokdfjFy1ahBMnTmDVqlW44YYbkJmZiYEDB6J3795BF56aMmuX+/tj+3GKZojcNc/4QWyV9WJ3O9cYCY7Z8kZIObKCEZvNhsrKSuTlXVrlMyIiAnl5eSgv936n8cknnyAnJweTJk1CWloaevXqhdmzZ8Nu932RrK+vR01NjccP+ceMXe4AEBtlYSASBPcgdofVPEEsA9jg8b+PQkFWMHLs2DHY7XakpaV5PJ+Wlgar1er1nH/9619YuXIl7HY71qxZg6eeegqvvPIKZs2a5fN1SkpKkJSU5PrJyMiQU0zTY+NAcpk1iOV3hfxl4M5CTVB8No3D4UC7du3w1ltvoW/fvhgxYgT+9Kc/obS01Oc5RUVFOH36tOvn4MGDSheTyPR4YSbyjnlGyouUc3BqaiosFguqq6s9nq+urkZ6errXc9q3b4+oqChYLJfGZXv27Amr1QqbzYbo6KbbUMfExCAmJkZO0cgHs0TzXdtepnYRSCc4FZzk4l5GypPVMxIdHY2+ffti48aNruccDgc2btyInBzvXbw33HADdu/eDYfj0sqOu3btQvv27b0GIhRaRp5u5z49M5aNA/lp77GzaheBdIx5RsqQPUxTWFiIBQsW4J133kFVVRUmTpyIs2fPoqCgAAAwatQoFBUVuY6fOHEiTpw4gSlTpmDXrl1YvXo1Zs+ejUmTJoXuXZAH92REo063Y7epsoy6DgcXyaNAuN/PMQ5RhqxhGgAYMWIEjh49ihkzZsBqtaJPnz5Yu3atK6n1wIEDiIi4FONkZGRg3bp1mDp1Kq655hp07NgRU6ZMwRNPPBG6d0EenMmIVxWvU7soiuH0TGUNKy3H/04ZYKg7QCEEhpWWo3L/SbWLQjrCG5/wkB2MAMDkyZMxefJkr7/btGlTk+dycnKweTPX9A8nMy1ixW7T0HD2qP14uMY1vTc+OqAmQpPqGuwegQgXySN/MF8kPLg3jQkYOW8EYLdpqJhpeu/yh/oziCXZWGeUw2DEoIyeN2Lg2EpVZmlnu7a9jBcVko1VRjkMRgzKyHe5HMMNDyMHfEYaftKScza7oXthSTkMRgzMqFE8x3DDw+jDexR6WbM2GK7eGOitaBqDEdI1juGGltGH9yj04qIsyOqc4npcsf+kYeoNe2HDh8EI6RrjkNAy8vAeKcNZZyqm57V8sM6wFzZ8GIwQkQcGeCSXJEmIjzb2hXrZg/3ZC6sgBiMmYaRxTyO9F63j/zXRRRYLAxElMRgxCaMklXEMN7yMUm8A4JztgtpFMA2DVBnDvA89YDBiYEZMRuQYrvLioizo2T4BgHHqDQCcOc9gJFyMEMTyxie8GIwYmNGTETmTRhmSJGHlhFy1ixFSQgg8+F6l2sUwtLgoC3qkGyeIdb/x6ZmewBsfhTEYMTgjX6uN/N7UZrT/27oGO3ZVnwHAHjWlSJKEpQ/2V7sYilj+EG98lMZgxER03mtKKjFaveGsCOVERxrzksLkVeUZs+aQV0YYx6XwM1q94YWFSHsYjBicEZNYSXlGS2I1UCxFZEgMRgzOaEmsvKiEh5GSWDkrguQSQuCcTd8BuN5w60oTMMrwOC8q4WWUesPp4OrQ642DEALDSstRuf+k2kUxFfaMmIxeGwiAFxUKjHud53Tw8NFrrlFdg90jELmuUzLbmjBgMGIyem0gGuNFJbz0WmUa96axyijLaDlqFdPz8LeJuWxrwoDBiAnERVnQ00CLEQG8qISbXoNY9qaFl9Fy1OKjLQxEwoTBiAlIkoSVE/WfjKjDa6GuxUVZ0D2tFQBjBLHLH+L6IuHg/l/M7yz5i8GISei9DWbyavhJkoT3xmarXYyQiYjQ+ZdAh/Tao0bhx2CEdIHd7epoFcsJdySP0fJGKDwYjJDuMHlVHbzBJX8YLW+EwoPBCOkO4xB1sMud/MXvKMnFYISIfIqLsuAKHSexMnYi0gcGIybEBpr8JUkS3n2gn9rFCAiTnon0g8GICQ0rLWN3O/ktMS5K7SIExD3puWf7BCY9E2kYgxGTcM9wrzpcq7vudqJgrJzAVTSJtIzBiEnoOcOdO2hSsBiHqEdvnbB6K69RMBgxET02yM4dNLNmbVC7KEQUAD3NwmKekXoYjJCmNd1BM4Vj/yo6W39B7SKQDuh14TP3PKMr0lqxrQkjBiOkGxd30OSCZ2qyXXCoXQTSAT0PCzu9dX9ftjVhxGCEdIM7aKrvgSUVuulyJ3Xp8avqXrUl6PAN6BiDEZPi9YT85b7w2c5q/czEYh0nORrniyTEcV+mcGIwYlJca4T8JUkSFozKUrsYslxMfC5TuxikI+75Ij3SE5ASH61yicyFwYiJcK0RCpTeuqzrGuyoOlwLgLs8k3zvje3HIeEwYzBiInpMKmPnjTakXKbPVVgB7vJM8l0WwyGacGMwYjJ6apM55187LBE6qjiN6KnOGxVvKqglDEZMTOsNBOf8U6C0XrfNRk8Ln5E6GIyYmJ4aiI8evoFd7eQX9qhpg14XPiN1MBgxGb02EIxDyF/uPWpMXlWPHnPUSD0MRkyGDQSZCZNX1cX/evIXgxETYgNBZsG6rh0Ohz6GhEkdDEZIs3SSzkJEfhg+f7NuctQo/BiMkCYxCZFI//Sao0bhx2CENKnx0sxMQtSO0+caNH2Hq+GimQ5z1MhfDEZMTg8N97sPcGlmLcl5/jPNTgtnj5r26OGrK4TAORt7bdTEYMTktHpRcRcdyWqqtrgoC7I6p7geV+w/qckud07rJbkubqpYjqxZG9QuiqmxlTchvY3jMhhRn7O7/YvHb1S7KH7jtF7yR12DHZX7T7oe9+2cwiBWBWzlTajxOK7GO0ZIIyRJQtuEGLWL0Sz36aOMQ0iuiul5WMkgVhUMRkzK/bumh6EaopY4u9tJu7TezMRHWxiIqITBiEnpbaiGqCV1DXbssNYCYL6IVg2bV8YbH/KKwYhJccodGdmyB/vzDlcj3G98qqy1vPEhrxiMmBjbajIqi4WVWyt440P+YDBCRAFhbzv5S8s3PqzH2sBghDSJDYT2DSvl+D/pGxfJ046AgpG5c+ciMzMTsbGxyM7OxpYtW/w6b+nSpZAkCUOHDg3kZckk2EBol8f4/2GO/5O+cdsJ7ZAdjCxbtgyFhYUoLi7Gtm3b0Lt3b+Tn5+PIkSPNnrdv3z7813/9FwYMGBBwYUk5WrrB5Sqa2sXxfwqW3a6hxsbN3ybmMulZRbKDkTlz5mD8+PEoKCjAlVdeidLSUsTHx2PRokU+z7Hb7bjvvvswc+ZMdO3aNagCkzK0utYIV9HUHn4cFIzh87XZ1rBeq0tWMGKz2VBZWYm8vLxLfyAiAnl5eSgv992t/swzz6Bdu3YYO3Zs4CWlkIuLsqBHegIAba014t5OsYHQNg1eU0iDOL2XWiIrGDl27BjsdjvS0tI8nk9LS4PVavV6zpdffom3334bCxYs8Pt16uvrUVNT4/FDoSdJEv42MVftYnhgvoi+aLVHjbSFw3vUEkVn09TW1uL+++/HggULkJqa6vd5JSUlSEpKcv1kZGQoWEpz01rPA/NFtI+r91IgtNbWkLbICkZSU1NhsVhQXV3t8Xx1dTXS09ObHL9nzx7s27cPgwcPRmRkJCIjI/Huu+/ik08+QWRkJPbs2eP1dYqKinD69GnXz8GDB+UUkwyC+SLaxLtcMgp26mlHpJyDo6Oj0bdvX2zcuNE1PdfhcGDjxo2YPHlyk+N79OiB7777zuO56dOno7a2Fq+//rrPHo+YmBjExGh7d1BSHuMQ7eJnQ8HQQhDAIWFtkRWMAEBhYSFGjx6NrKws9OvXD6+99hrOnj2LgoICAMCoUaPQsWNHlJSUIDY2Fr169fI4Pzk5GQCaPE9EFCghBM6cv6B2MchPw0rLsOaRAar2fHJIWFtkByMjRozA0aNHMWPGDFitVvTp0wdr1651JbUeOHAAERFc2JWIwkMIgWGl5ajcf1LtolAznLlGPx6ucS2YFx8t+xKkCA4Jqy+gmjB58mSvwzIAsGnTpmbPXbJkSSAvSUTkVV2D3SMQyeqcwrtcDXLmGl1VvE7tojTBOER92ghLSRO0MI5LFIy1jw5A97QE3uVqFD8W8oXjKeSi9poRQgics3GaqN5oKYjt1DqegQiRDjEYMTmtrBnhHPfPmrVBldenwKkdxBKR/jEYMbnGa0aodU3huL++aCWIJf1SO35V+/XJE4MR8hjH1cJdbsX0PGa3axwXPqNgqdnWcI0R7WEwQoiLsqBne+1smBcfbWEgogPuHxHvMskfWulR4xoj2sNghCBJElZO0NaGeaQv6t7lqvKyFAAt9qgtf6g/b340gMEIAeCUO5JPC3e5QgjcOa8s7K9LgdNaWxMRobECmRSDESIKiBbucusa7NhprQXA7nbyH3vTtIfBCBEFTEt3uUx6Jn8weVWbGIxQE7xrID1iHKI/arQ1TF7VJgYj1IQayYgMgIjMR+2lBNibph0MRgjAr9N709WZ3stuUyLz0ELisxPjEO1gMEIA1E1GdO82vSKtFbtNdYq9W+QPLSQ+k/YwGCEXLUxxWzg6i92mOqVGl7vDwQhIj7hgHjXGYIQ05bLoSLWLQDKo2eUuhMDd8zm8p3dq542QNjAYIU2Ji+YQjZ6oPbxXdZhrjOiRmjlqpE0MRogoKFoYVeOsCH2RJAnLHmLeCF3CYIRUV3+Bd0Ukn3vPPuMQ/Ym08EOjSxiMkOo4XExycTo4BcpuZ4OjRQxGSHUMRkgurqJJgRBCYPhbDGK1iMEIeRWuAEEIgf+38OvwvBgprr7BEfbXZL4I+YtJz9rFYIS8Ctd0u7oGO6q466ph3Ltgc9inaTIO0T81ekcZxGoLgxFyUXuZ5mUP9mfjoEPu9abKWstpmiRbuG5+mPSsXQxGyEXtZZrZOOiT2vWG9Cnca40w6VnbGIyQBwYEFAjWG5JLkiSsnJgbttdj0rO2MRghzdDC3jhEFD5qBbHMF9EeBiNEpDucDk7BYByiPQxGyCc2+KRFHPsnMh4GI+QTd9MkLeLYP5HxMBghD2pP7yWSg2P/RMbAYIQ8hHuaZu35hrC9FhkP4xAiY2AwQk2Es4G3OzgMZDSnzykbYHLkkMh4GIxQs5Rs+IUQKFhSodwLkCrGLN6iWK4Rk1cpUGrsm0T+YzBCzVIyibWuwY6d3JfGENxzjXZWn1Es18g9ebVn+wTWGQNR+sZn5ILNyr0ABY3BCDWhRhIrExH1TY0l4Zc9yDpjJMPmlSl647ODNz6axmCEmlDjwsJriv6F+zOMtLDS6J0amyzyxkebGIyQV+H4rjIRkcjceONDTgxGSBVCCAwrLVO7GKQQBprkL/fggPXGvBiMkCrqGuyoOswxXKNSKvGZFytj46rP5sVghFqkdNvAMVxjUDrxmdN6jYmrPhPAYIT8oPTdCuMQY1B6/J/Teo0pHHkj7GzRPgYj5FVclAU92ycA4N0K+S9cgeVfx/Vnb5qBKPlRskdNHxiMkFeSJGHlhFy1i0HkVUwUmy6jCnUvBnd51gd+o8kn3nhSMNg1ToEI9bCw+59ifpp2MRghVfBCZXycGUH+UmpYuPEQDeMQ7WIwQmHHMVzj4swICoQkSfjruP4h/7tMetYPBiMUdhzDNS41VtQkY7AofDVaOp5Jz1rGYIRUxTFc4+GKmhSISIWjkahIXu60jJ8OqYpxiLGFMm+EgQ2RcTEYIaKQUiIZkXlGRMbGYITCjne4xqbEGjXMMyIyNgYjFFa8wzUHJYffmGdEZDwMRsgvdbbQTNHkHS4Fwr03jXGI8bH31HwYjJBfRi7YHPIFrHiHS/5gb5r5cME882EwQj65L2C1q/pMyBewYhxC/mBvmjnERVnQIz3Uic9B/wkKEwYj5BMXsCKtYW+acUmShL9NDF3iM3vU9CWgYGTu3LnIzMxEbGwssrOzsWXLFp/HLliwAAMGDEBKSgpSUlKQl5fX7PGkLaFewIp3KhQMxiHGFsr2hj1q+iI7GFm2bBkKCwtRXFyMbdu2oXfv3sjPz8eRI0e8Hr9p0yaMHDkSn3/+OcrLy5GRkYFbb70VP//8c9CFp/AKdhyXdyrmxACUAhHKvBH2qGmf7GBkzpw5GD9+PAoKCnDllVeitLQU8fHxWLRokdfjP/jgAzz88MPo06cPevTogYULF8LhcGDjxo1BF56UF8qNz3inYk53zStjMiL5RandexmHaJ+sYMRms6GyshJ5eXmX/kBEBPLy8lBe7t8d77lz59DQ0IDWrVvLKympQqm8Ed6pGJt7ELvDWsvde8kvSiyYR/ogKxg5duwY7HY70tLSPJ5PS0uD1Wr162888cQT6NChg0dA01h9fT1qamo8fkg9SsQMjEOMjcnPFCi2DeYU1tk0zz//PJYuXYqPPvoIsbGxPo8rKSlBUlKS6ycjIyOMpSSiUOBFhdTEkUF9kRWMpKamwmKxoLq62uP56upqpKenN3vuyy+/jOeffx5///vfcc011zR7bFFREU6fPu36OXjwoJxiEpGB8KJCcgkhMGxemdrFIBlkBSPR0dHo27evR/KpMxk1J8d3l+yLL76IZ599FmvXrkVWVlaLrxMTE4PExESPH9KGYC4MvKiQXJyBRYGoa7CjyloLgMnyeiF7mKawsBALFizAO++8g6qqKkycOBFnz55FQUEBAGDUqFEoKipyHf/CCy/gqaeewqJFi5CZmQmr1Qqr1YozZ86E7l1Q2AwrDWxmBC8qFAjOwKJgMVleHyLlnjBixAgcPXoUM2bMgNVqRZ8+fbB27VpXUuuBAwcQEXEpxpk3bx5sNhuGDRvm8XeKi4vx9NNPB1d6CgvnzIgfD9eg6vDFmRHx0fKqDi8qFCxeVCgQrDL6IDsYAYDJkydj8uTJXn+3adMmj8f79u0L5CVIQ5wzI64qXheSv8eLCgWCVYbIuLg3DfkllBcCXlTMh/lCRNQcBiNEpLhAc43I3FhlzIPBCBEpwn0VVmeuEZEcodyfhrSNwQiFBdsT8+EqrBSIYPfDEkLgnI2Br94wGCHFcVqveQWbH8Qg1nyCCWKFEBhWWo6sWRtCXCpSGoMRkk3uBYLTegmQX28YxJpXoEFsXYMdlftPuh5ndU5he6MTDEZItmDGcTmt17zk1hsGsRSMzx4byPZGRxiMkF+CHcd1YrtgLqGqN7yokFzpSbGsMzrCYIT8wmRECkQw9cbhuNSLwmsKkbExGCG/BXpBYBKiuQVSb4QQGD5/c+gLQ0SaxGCEAuJvgMEkRAoE80XIqbaugWuNmACDEQqIv8mI7heVHukJvKiQbMsf6s+xfxPLLvmMi5+ZAIMR8luwyYh/m5jLi4rJBXI9iYhgnTGbuCgLsjqnuB5X7D/JFXwNjsEI+S3YJFbGIcQ7XPKHs62pmJ4n6zxWLf1iMEKyuAcU/OKTP0I1vZfMRZIkxEf7P6zL/DR9YzBCAeNdLvmD08IpHJj0rG8MRkiWuCgLeqYnAOBdLvmPQ3QUTlwkT38YjJAskiRh5cRctYtBROQT4xD9YTBCssn5onMUhxpjnSCixhiMkGKYUEbeMNeIiBpjMEKKYUIZOXFGDRE1h8EIhQUTysyNM2qIqDkMRigo/va2Mw4hOXWgpq5BuYKQLnFkz9gYjFBQOP5PoSaEwJjFW9UuBmkM2xpjYzBCssVFWdCDa42QQuoa7NhhrQXAXCOzk5Nr1HDBEa5ikQIYjJBskiThg3HZaheDTIC5Rubmb66REAL3LNgchhKRUhiMUEDiZOwZQRQoxiHkTx2oa7Cj6jB70/SMwQgRaQrTAigY7E3TJwYjRBR2vgIOIQSGlZaFtzBkKIxD9InBCBGFna+ZEexuJzInBiMUNHarkz/krsLK7nZqjG2NcTEYoaBx/j/5w5+ZEe7ViHEINca2xrgYjFBA4qIs6N7CWiOnz3EVTfLUXIDBjRXJG3961BwOBih6x2CEAiJJEpY92N/n74UQGL14SxhLRHrTOFjlxorkTUs9akII3D2fQazeMRihgEVH+q4+dQ127Ko+A4AXFvLugsP3ipnMFyF37lWh8SgNk56NgcEIKY4XFvJm3DsVPsf/WV3Il+byRtjW6BeDEVIc2wZych//31l9hvsakV/8nYnFtka/GIwQUdj4u9cIkTvWG+NjMEJEYcW7VwoE642xMRghRdi4nTcRhQGXHTEGBiMUckIIDOdUOyJSmBACd87jXkZGwGCEQsJ90SFO6yWicKhrsGOnldN6jYDBCIXE8PmbvU6341Q7Igo1b0MzbGv0jcEIBSwuyoKe7ZtfEp5tA/mLY//kL29rjbCt0TcGIxQwSZKwdHzTJeF5USG5hBAYVsqxf/JN7q7PpC8MRigoUY2WhOdmZxQILulNLeFaI8bGYIRCipudUbA49k++sFoYF4MRCpnGwzO8qFAgWGXIXxwSNg4GIxQyF5PKLj3mRYX8xYsKySUEmGdkIAxGKChMKqNgnLPZ4XAwz4jkY56RsTAYoaA0Tio7b2MwQv7LmrUB//HGl8wzItnce9M4JKx/DEYoaO5tQNWvqyES+RIXZUFW5xTXY2cgAvCiQv5z33KCVUb/GIxQSI1/t0LtIpDGOXvTKqbnefmdCgUi3XAfFt577KzKpaFQYjBCQYuLsqD35Ukez2V1TmF3O/kkSRLio1k/SB6uNWJckWoXgPRPkiQsGJWF/cfPAQBioiJwdcckdrcTUcixWTEm9oxQSEiShNgoC2KjLIiLsjAQISJFNO6JZS+sMbBnhEKibUIM2ibEqF0M0pG4KAuu7ZSM7QdOAQCu68SLCrVMkiQsfbA/Tp1rgBQBpCXE8ubHABiMEJEqJEnCew/0w67qMwCAXh0TeVEhv8RFRyIumpcvIwlomGbu3LnIzMxEbGwssrOzsWXLlmaPX7FiBXr06IHY2FhcffXVWLNmTUCFJSJjaRUbhes6p+C6zimIjmSvCJFZyQ5Gli1bhsLCQhQXF2Pbtm3o3bs38vPzceTIEa/Hl5WVYeTIkRg7diy2b9+OoUOHYujQofj++++DLjwRERHpnySEvF0hsrOzcf311+Mvf/kLAMDhcCAjIwN/+MMfMG3atCbHjxgxAmfPnsWnn37qeq5///7o06cPSktL/XrNmpoaJCUl4fTp00hMTJRTXCIiIlKJv9dvWT0jNpsNlZWVyMu7tFhRREQE8vLyUF7ufW+J8vJyj+MBID8/3+fxAFBfX4+amhqPHyIiIjImWcHIsWPHYLfbkZaW5vF8WloarFar13OsVqus4wGgpKQESUlJrp+MjAw5xSQiIiId0eQ6I0VFRTh9+rTr5+DBg2oXiYiIiBQia25UamoqLBYLqqurPZ6vrq5Genq613PS09NlHQ8AMTExiInhmhVERERmIKtnJDo6Gn379sXGjRtdzzkcDmzcuBE5Od73C8jJyfE4HgDWr1/v83giIiIyF9mrxhQWFmL06NHIyspCv3798Nprr+Hs2bMoKCgAAIwaNQodO3ZESUkJAGDKlCkYOHAgXnnlFdx+++1YunQpKioq8NZbb4X2nRAREZEuyQ5GRowYgaNHj2LGjBmwWq3o06cP1q5d60pSPXDgACIiLnW45Obm4q9//SumT5+OJ598Er/97W+xatUq9OrVK3TvgoiIiHRL9jojauA6I0RERPqjyDojRERERKHGYISIiIhUxWCEiIiIVMVghIiIiFTFYISIiIhUJXtqrxqcE364YR4REZF+OK/bLU3c1UUwUltbCwDcMI+IiEiHamtrkZSU5PP3ulhnxOFw4JdffkFCQgIkSQrZ362pqUFGRgYOHjxo2PVLjP4e+f70z+jv0ejvDzD+e+T7C5wQArW1tejQoYPHgqiN6aJnJCIiApdffrlifz8xMdGQFcyd0d8j35/+Gf09Gv39AcZ/j3x/gWmuR8SJCaxERESkKgYjREREpCpTByMxMTEoLi5GTEyM2kVRjNHfI9+f/hn9PRr9/QHGf498f8rTRQIrERERGZepe0aIiIhIfQxGiIiISFUMRoiIiEhVDEaIiIhIVYYORp577jnk5uYiPj4eycnJXo85cOAAbr/9dsTHx6Ndu3Z4/PHHceHChWb/7okTJ3DfffchMTERycnJGDt2LM6cOaPAO5Bn06ZNkCTJ68/WrVt9nnfjjTc2OX7ChAlhLLk8mZmZTcr7/PPPN3vO+fPnMWnSJLRp0watWrXCXXfdherq6jCV2H/79u3D2LFj0aVLF8TFxaFbt24oLi6GzWZr9jytf4Zz585FZmYmYmNjkZ2djS1btjR7/IoVK9CjRw/Exsbi6quvxpo1a8JUUnlKSkpw/fXXIyEhAe3atcPQoUOxc+fOZs9ZsmRJk88qNjY2TCWW7+mnn25S3h49ejR7jl4+P8B7eyJJEiZNmuT1eK1/fv/4xz8wePBgdOjQAZIkYdWqVR6/F0JgxowZaN++PeLi4pCXl4effvqpxb8r9zssl6GDEZvNhrvvvhsTJ070+nu73Y7bb78dNpsNZWVleOedd7BkyRLMmDGj2b9733334YcffsD69evx6aef4h//+AcefPBBJd6CLLm5uTh8+LDHz7hx49ClSxdkZWU1e+748eM9znvxxRfDVOrAPPPMMx7l/cMf/tDs8VOnTsX//M//YMWKFfjiiy/wyy+/4M477wxTaf23Y8cOOBwOzJ8/Hz/88ANeffVVlJaW4sknn2zxXK1+hsuWLUNhYSGKi4uxbds29O7dG/n5+Thy5IjX48vKyjBy5EiMHTsW27dvx9ChQzF06FB8//33YS55y7744gtMmjQJmzdvxvr169HQ0IBbb70VZ8+ebfa8xMREj89q//79YSpxYK666iqP8n755Zc+j9XT5wcAW7du9Xhv69evBwDcfffdPs/R8ud39uxZ9O7dG3PnzvX6+xdffBF//vOfUVpaiq+//hqXXXYZ8vPzcf78eZ9/U+53OCDCBBYvXiySkpKaPL9mzRoREREhrFar67l58+aJxMREUV9f7/Vv/fjjjwKA2Lp1q+u5//3f/xWSJImff/455GUPhs1mE23bthXPPPNMs8cNHDhQTJkyJTyFCoHOnTuLV1991e/jT506JaKiosSKFStcz1VVVQkAory8XIEShtaLL74ounTp0uwxWv4M+/XrJyZNmuR6bLfbRYcOHURJSYnX44cPHy5uv/12j+eys7PFQw89pGg5Q+HIkSMCgPjiiy98HuOrPdKq4uJi0bt3b7+P1/PnJ4QQU6ZMEd26dRMOh8Pr7/X0+QEQH330keuxw+EQ6enp4qWXXnI9d+rUKRETEyP++7//2+ffkfsdDoShe0ZaUl5ejquvvhppaWmu5/Lz81FTU4MffvjB5znJyckePQ15eXmIiIjA119/rXiZ5fjkk09w/PhxFBQUtHjsBx98gNTUVPTq1QtFRUU4d+5cGEoYuOeffx5t2rTBtddei5deeqnZobXKyko0NDQgLy/P9VyPHj3QqVMnlJeXh6O4QTl9+jRat27d4nFa/AxtNhsqKys9/u8jIiKQl5fn8/++vLzc43jg4vdSL58VgBY/rzNnzqBz587IyMjAkCFDfLY3WvHTTz+hQ4cO6Nq1K+677z4cOHDA57F6/vxsNhvef/99PPDAA81uyqq3z89p7969sFqtHp9PUlISsrOzfX4+gXyHA6GLjfKUYrVaPQIRAK7HVqvV5znt2rXzeC4yMhKtW7f2eY5a3n77beTn57e4yeC9996Lzp07o0OHDvj222/xxBNPYOfOnfjwww/DVFJ5HnnkEVx33XVo3bo1ysrKUFRUhMOHD2POnDlej7darYiOjm6SN5SWlqa5z6yx3bt344033sDLL7/c7HFa/QyPHTsGu93u9Xu2Y8cOr+f4+l5q/bNyOBx49NFHccMNN6BXr14+j+vevTsWLVqEa665BqdPn8bLL7+M3Nxc/PDDD4puCBqo7OxsLFmyBN27d8fhw4cxc+ZMDBgwAN9//z0SEhKaHK/Xzw8AVq1ahVOnTmHMmDE+j9Hb5+fO+RnI+XwC+Q4HQnfByLRp0/DCCy80e0xVVVWLCVZ6Esh7PnToENatW4fly5e3+Pfd812uvvpqtG/fHrfccgv27NmDbt26BV5wGeS8x8LCQtdz11xzDaKjo/HQQw+hpKREs8s1B/IZ/vzzz7jttttw9913Y/z48c2eq4XP0OwmTZqE77//vtl8CgDIyclBTk6O63Fubi569uyJ+fPn49lnn1W6mLINGjTI9e9rrrkG2dnZ6Ny5M5YvX46xY8eqWLLQe/vttzFo0CB06NDB5zF6+/z0QnfByGOPPdZs1AoAXbt29etvpaenN8kIds6wSE9P93lO46SdCxcu4MSJEz7PCVYg73nx4sVo06YN/vM//1P262VnZwO4eFcergtZMJ9rdnY2Lly4gH379qF79+5Nfp+eng6bzYZTp0559I5UV1cr9pk1Jvf9/fLLL7jpppuQm5uLt956S/brqfEZepOamgqLxdJk5lJz//fp6emyjteCyZMnu5LZ5d4dR0VF4dprr8Xu3bsVKl1oJScn44orrvBZXj1+fgCwf/9+bNiwQXZvop4+P+dnUF1djfbt27uer66uRp8+fbyeE8h3OCAhyz7RsJYSWKurq13PzZ8/XyQmJorz5897/VvOBNaKigrXc+vWrdNUAqvD4RBdunQRjz32WEDnf/nllwKA+Oc//xnikinj/fffFxEREeLEiRNef+9MYF25cqXruR07dmg2gfXQoUPit7/9rbjnnnvEhQsXAvobWvoM+/XrJyZPnux6bLfbRceOHZtNYP2P//gPj+dycnI0mQDpcDjEpEmTRIcOHcSuXbsC+hsXLlwQ3bt3F1OnTg1x6ZRRW1srUlJSxOuvv+7193r6/NwVFxeL9PR00dDQIOs8LX9+8JHA+vLLL7ueO336tF8JrHK+wwGVNWR/SYP2798vtm/fLmbOnClatWoltm/fLrZv3y5qa2uFEBcrUa9evcStt94qvvnmG7F27VrRtm1bUVRU5PobX3/9tejevbs4dOiQ67nbbrtNXHvtteLrr78WX375pfjtb38rRo4cGfb358uGDRsEAFFVVdXkd4cOHRLdu3cXX3/9tRBCiN27d4tnnnlGVFRUiL1794qPP/5YdO3aVfzud78Ld7H9UlZWJl599VXxzTffiD179oj3339ftG3bVowaNcp1TOP3KIQQEyZMEJ06dRKfffaZqKioEDk5OSInJ0eNt9CsQ4cOid/85jfilltuEYcOHRKHDx92/bgfo6fPcOnSpSImJkYsWbJE/Pjjj+LBBx8UycnJrlls999/v5g2bZrr+K+++kpERkaKl19+WVRVVYni4mIRFRUlvvvuO7Xegk8TJ04USUlJYtOmTR6f1blz51zHNH5/M2fOFOvWrRN79uwRlZWV4p577hGxsbHihx9+UOMttOixxx4TmzZtEnv37hVfffWVyMvLE6mpqeLIkSNCCH1/fk52u1106tRJPPHEE01+p7fPr7a21nWtAyDmzJkjtm/fLvbv3y+EEOL5558XycnJ4uOPPxbffvutGDJkiOjSpYuoq6tz/Y2bb75ZvPHGG67HLX2HQ8HQwcjo0aMFgCY/n3/+ueuYffv2iUGDBom4uDiRmpoqHnvsMY/I+PPPPxcAxN69e13PHT9+XIwcOVK0atVKJCYmioKCAleAowUjR44Uubm5Xn+3d+9ej/+DAwcOiN/97neidevWIiYmRvzmN78Rjz/+uDh9+nQYS+y/yspKkZ2dLZKSkkRsbKzo2bOnmD17tkdPVuP3KIQQdXV14uGHHxYpKSkiPj5e3HHHHR4XeK1YvHix1zrr3ompx8/wjTfeEJ06dRLR0dGiX79+YvPmza7fDRw4UIwePdrj+OXLl4srrrhCREdHi6uuukqsXr06zCX2j6/PavHixa5jGr+/Rx991PV/kZaWJn7/+9+Lbdu2hb/wfhoxYoRo3769iI6OFh07dhQjRowQu3fvdv1ez5+f07p16wQAsXPnzia/09vn57xmNf5xvgeHwyGeeuopkZaWJmJiYsQtt9zS5H137txZFBcXezzX3Hc4FCQhhAjdoA8RERGRPKZeZ4SIiIjUx2CEiIiIVMVghIiIiFTFYISIiIhUxWCEiIiIVMVghIiIiFTFYISIiIhUxWCEiIiIVMVghIiIiFTFYISIiIhUxWCEiMLu6NGjSE9Px+zZs13PlZWVITo6Ghs3blSxZESkBu5NQ0SqWLNmDYYOHYqysjJ0794dffr0wZAhQzBnzhy1i0ZEYcZghIhUM2nSJGzYsAFZWVn47rvvsHXrVsTExKhdLCIKMwYjRKSauro69OrVCwcPHkRlZSWuvvpqtYtERCpgzggRqWbPnj345Zdf4HA4sG/fPrWLQ0QqYc8IEanCZrOhX79+6NOnD7p3747XXnsN3333Hdq1a6d20YgozBiMEJEqHn/8caxcuRL//Oc/0apVKwwcOBBJSUn49NNP1S4aEYUZh2mIKOw2bdqE1157De+99x4SExMRERGB9957D//3f/+HefPmqV08Igoz9owQERGRqtgzQkRERKpiMEJERESqYjBCREREqmIwQkRERKpiMEJERESqYjBCREREqmIwQkRERKpiMEJERESqYjBCREREqmIwQkRERKpiMEJERESqYjBCREREqvr/LDs56/YmAOQAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -3461,13 +2821,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-10.0, 5.31)\": -4.2, \"(5.31, 6.02)\": -212.5, \"(6.02, 6.43)\": -425.5, \"(6.43, 6.73)\": -640.0, \"(6.73, 6.97)\": -850.4, \"(6.97, 7.17)\": -1091.7, \"(7.17, 7.33)\": -1321.2, \"(7.33, 7.49)\": -1567.9, \"(7.49, 7.61)\": -1795.0, \"(7.61, 7.72)\": -2030.9, \"(7.72, 7.8)\": -2255.3, \"(7.8, 7.91)\": -2524.8, \"(7.91, 8.0)\": -2771.5, \"(8.0, 8.09)\": -3046.1, \"(8.09, 8.15)\": -3266.0, \"(8.15, 8.2)\": -3493.6, \"(8.2, 8.26)\": -3707.6, \"(8.26, 8.33)\": -3924.9, \"(8.33, 8.39)\": -4154.9, \"(8.39, 8.46)\": -4548.1, \"(8.46, 8.54)\": -4912.7, \"(8.54, 8.62)\": -5180.9, \"(8.62, 8.69)\": -5690.2, \"(8.69, 8.73)\": -5989.8, \"(8.73, 8.78)\": -6231.5, \"(8.78, 8.83)\": -6601.6, \"(8.83, 8.88)\": -6946.1, \"(8.88, 8.91)\": -7228.2, \"(8.91, 8.95)\": -7475.3, \"(8.95, 8.97)\": -7722.1, \"(8.97, 9.02)\": -7931.8, \"(9.02, 9.07)\": -8415.8, \"(9.07, 9.13)\": -8841.2, \"(9.13, 9.18)\": -9485.9, \"(9.18, 9.21)\": -9773.0, \"(9.21, 9.24)\": -10155.2, \"(9.24, 9.27)\": -10389.6, \"(9.27, 9.29)\": -10742.6, \"(9.29, 9.33)\": -10965.8, \"(9.33, 9.35)\": -11364.7, \"(9.35, 9.38)\": -11582.5, \"(9.38, 9.42)\": -12121.5, \"(9.42, 9.48)\": -12641.3, \"(9.48, 9.51)\": -13360.2, \"(9.51, 9.54)\": -13584.8, \"(9.54, 9.56)\": -13987.8, \"(9.56, 9.59)\": -14417.8, \"(9.59, 9.62)\": -14773.8, \"(9.62, 9.65)\": -15250.4, \"(9.65, 9.68)\": -15889.2, \"(9.68, 9.71)\": -16182.7, \"(9.71, 9.72)\": -16531.4, \"(9.72, 9.75)\": -16740.4, \"(9.75, 9.78)\": -17196.9, \"(9.78, 9.83)\": -18129.0, \"(9.83, 9.85)\": -18727.3, \"(9.85, 9.86)\": -19042.0, \"(9.86, 9.88)\": -19253.8, \"(9.88, 9.89)\": -19531.4, \"(9.89, 9.9)\": -19784.7, \"(9.9, 9.91)\": -20010.2, \"(9.91, 10.0)\": -20747.7}\n", + "Means: {\"(-10.0, -9.91)\": 0.9613, \"(-9.91, -9.81)\": 0.9715, \"(-9.81, -9.67)\": 0.9825, \"(-9.67, -9.07)\": 0.993, \"(-9.07, -8.96)\": 0.9825, \"(-8.96, -8.86)\": 0.9714, \"(-8.86, -8.79)\": 0.9597, \"(-8.79, -8.72)\": 0.9488, \"(-8.72, -8.65)\": 0.9355, \"(-8.65, -8.59)\": 0.9241, \"(-8.59, -8.54)\": 0.912, \"(-8.54, -8.48)\": 0.9006, \"(-8.48, -8.44)\": 0.8902, \"(-8.44, -8.39)\": 0.8794, \"(-8.39, -8.36)\": 0.8675, \"(-8.36, -8.3)\": 0.8567, \"(-8.3, -8.23)\": 0.8373, \"(-8.23, -8.17)\": 0.8218, \"(-8.17, -8.1)\": 0.7993, \"(-8.1, -8.05)\": 0.783, \"(-8.05, -8.02)\": 0.7717, \"(-8.02, -7.99)\": 0.7602, \"(-7.99, -7.92)\": 0.7426, \"(-7.92, -7.87)\": 0.7256, \"(-7.87, -7.84)\": 0.712, \"(-7.84, -7.81)\": 0.6988, \"(-7.81, -7.75)\": 0.6841, \"(-7.75, -7.71)\": 0.6618, \"(-7.71, -7.68)\": 0.65, \"(-7.68, -7.63)\": 0.6373, \"(-7.63, -7.6)\": 0.6228, \"(-7.6, -7.57)\": 0.6064, \"(-7.57, -7.52)\": 0.5889, \"(-7.52, -7.49)\": 0.5781, \"(-7.49, -7.46)\": 0.5656, \"(-7.46, -7.44)\": 0.553, \"(-7.44, -7.41)\": 0.5399, \"(-7.41, -7.37)\": 0.526, \"(-7.37, -7.34)\": 0.5132, \"(-7.34, -7.3)\": 0.4974, \"(-7.3, -7.25)\": 0.4742, \"(-7.25, -7.21)\": 0.4603, \"(-7.21, -7.18)\": 0.438, \"(-7.18, -7.14)\": 0.4279, \"(-7.14, -7.1)\": 0.4058, \"(-7.1, -7.07)\": 0.3933, \"(-7.07, -7.04)\": 0.3764, \"(-7.04, -7.0)\": 0.3664, \"(-7.0, -6.96)\": 0.3449, \"(-6.96, -6.94)\": 0.3268, \"(-6.94, -6.9)\": 0.3148, \"(-6.9, -6.86)\": 0.2923, \"(-6.86, -6.83)\": 0.2778, \"(-6.83, -6.79)\": 0.259, \"(-6.79, -6.76)\": 0.2453, \"(-6.76, -6.71)\": 0.2208, \"(-6.71, -6.69)\": 0.2087, \"(-6.69, -6.67)\": 0.1979, \"(-6.67, -6.63)\": 0.1867, \"(-6.63, -6.59)\": 0.1625, \"(-6.59, -6.56)\": 0.1467, \"(-6.56, -6.52)\": 0.1353, \"(-6.52, -6.48)\": 0.1099, \"(-6.48, -6.42)\": 0.0876, \"(-6.42, -6.37)\": 0.0549, \"(-6.37, -6.35)\": 0.0394, \"(-6.35, -6.2)\": 0.0251, \"(-6.2, -6.17)\": 0.0462, \"(-6.17, -6.13)\": 0.0626, \"(-6.13, -6.07)\": 0.0828, \"(-6.07, -6.02)\": 0.1217, \"(-6.02, -6.0)\": 0.1348, \"(-6.0, -5.96)\": 0.1499, \"(-5.96, -5.94)\": 0.166, \"(-5.94, -5.92)\": 0.1761, \"(-5.92, -5.89)\": 0.1863, \"(-5.89, -5.87)\": 0.1975, \"(-5.87, -5.84)\": 0.2086, \"(-5.84, -5.8)\": 0.2266, \"(-5.8, -5.77)\": 0.2419, \"(-5.77, -5.72)\": 0.2654, \"(-5.72, -5.67)\": 0.2814, \"(-5.67, -5.62)\": 0.3167, \"(-5.62, -5.6)\": 0.3277, \"(-5.6, -5.56)\": 0.3417, \"(-5.56, -5.5)\": 0.3724, \"(-5.5, -5.48)\": 0.3866, \"(-5.48, -5.44)\": 0.399, \"(-5.44, -5.42)\": 0.4093, \"(-5.42, -5.39)\": 0.4237, \"(-5.39, -5.34)\": 0.4442, \"(-5.34, -5.29)\": 0.4652, \"(-5.29, -5.22)\": 0.4891, \"(-5.22, -5.18)\": 0.5173, \"(-5.18, -5.14)\": 0.5292, \"(-5.14, -5.09)\": 0.5528, \"(-5.09, -5.05)\": 0.571, \"(-5.05, -5.02)\": 0.5854, \"(-5.02, -4.91)\": 0.6085, \"(-4.91, -4.81)\": 0.6597, \"(-4.81, -4.78)\": 0.6765, \"(-4.78, -4.73)\": 0.6865, \"(-4.73, -4.7)\": 0.703, \"(-4.7, -4.67)\": 0.717, \"(-4.67, -4.61)\": 0.7298, \"(-4.61, -4.54)\": 0.756, \"(-4.54, -4.5)\": 0.7683, \"(-4.5, -4.45)\": 0.789, \"(-4.45, -4.4)\": 0.7994, \"(-4.4, -4.33)\": 0.8129, \"(-4.33, -4.26)\": 0.8407, \"(-4.26, -4.19)\": 0.8511, \"(-4.19, -4.12)\": 0.8741, \"(-4.12, -4.04)\": 0.8894, \"(-4.04, -3.99)\": 0.9025, \"(-3.99, -3.95)\": 0.9142, \"(-3.95, -3.86)\": 0.9243, \"(-3.86, -3.78)\": 0.9386, \"(-3.78, -3.69)\": 0.9526, \"(-3.69, -3.61)\": 0.9633, \"(-3.61, -3.51)\": 0.9736, \"(-3.51, -3.35)\": 0.9861, \"(-3.35, -2.8)\": 0.9961, \"(-2.8, -2.68)\": 0.9838, \"(-2.68, -2.6)\": 0.9733, \"(-2.6, -2.51)\": 0.962, \"(-2.51, -2.44)\": 0.9488, \"(-2.44, -2.33)\": 0.938, \"(-2.33, -2.23)\": 0.9085, \"(-2.23, -2.19)\": 0.8977, \"(-2.19, -2.14)\": 0.8867, \"(-2.14, -2.09)\": 0.8756, \"(-2.09, -2.04)\": 0.8636, \"(-2.04, -2.0)\": 0.8512, \"(-2.0, -1.94)\": 0.8385, \"(-1.94, -1.87)\": 0.816, \"(-1.87, -1.82)\": 0.7977, \"(-1.82, -1.78)\": 0.7852, \"(-1.78, -1.74)\": 0.7744, \"(-1.74, -1.7)\": 0.7614, \"(-1.7, -1.66)\": 0.7468, \"(-1.66, -1.62)\": 0.7323, \"(-1.62, -1.57)\": 0.7203, \"(-1.57, -1.53)\": 0.7012, \"(-1.53, -1.49)\": 0.6912, \"(-1.49, -1.46)\": 0.675, \"(-1.46, -1.42)\": 0.662, \"(-1.42, -1.38)\": 0.649, \"(-1.38, -1.35)\": 0.6298, \"(-1.35, -1.31)\": 0.6163, \"(-1.31, -1.26)\": 0.6036, \"(-1.26, -1.22)\": 0.5849, \"(-1.22, -1.19)\": 0.5692, \"(-1.19, -1.15)\": 0.5529, \"(-1.15, -1.12)\": 0.5389, \"(-1.12, -1.07)\": 0.5204, \"(-1.07, -1.03)\": 0.507, \"(-1.03, -0.95)\": 0.4801, \"(-0.95, -0.89)\": 0.4394, \"(-0.89, -0.87)\": 0.4275, \"(-0.87, -0.83)\": 0.4122, \"(-0.83, -0.78)\": 0.3982, \"(-0.78, -0.74)\": 0.371, \"(-0.74, -0.72)\": 0.3591, \"(-0.72, -0.7)\": 0.3479, \"(-0.7, -0.67)\": 0.3377, \"(-0.67, -0.65)\": 0.3271, \"(-0.65, -0.6)\": 0.3135, \"(-0.6, -0.55)\": 0.2802, \"(-0.55, -0.51)\": 0.2636, \"(-0.51, -0.48)\": 0.2451, \"(-0.48, -0.45)\": 0.2345, \"(-0.45, -0.42)\": 0.2179, \"(-0.42, -0.37)\": 0.2052, \"(-0.37, -0.33)\": 0.1755, \"(-0.33, -0.3)\": 0.1612, \"(-0.3, -0.25)\": 0.1408, \"(-0.25, -0.22)\": 0.1225, \"(-0.22, -0.19)\": 0.1029, \"(-0.19, -0.16)\": 0.0928, \"(-0.16, -0.1)\": 0.0767, \"(-0.1, -0.04)\": 0.0322, \"(-0.04, 0.06)\": 0.0168, \"(0.06, 0.09)\": 0.0336, \"(0.09, 0.13)\": 0.0499, \"(0.13, 0.16)\": 0.0721, \"(0.16, 0.18)\": 0.0836, \"(0.18, 0.22)\": 0.0977, \"(0.22, 0.28)\": 0.1119, \"(0.28, 0.32)\": 0.1525, \"(0.32, 0.35)\": 0.1644, \"(0.35, 0.38)\": 0.1747, \"(0.38, 0.4)\": 0.1919, \"(0.4, 0.43)\": 0.2057, \"(0.43, 0.45)\": 0.2207, \"(0.45, 0.5)\": 0.2312, \"(0.5, 0.55)\": 0.2594, \"(0.55, 0.59)\": 0.2801, \"(0.59, 0.62)\": 0.2972, \"(0.62, 0.64)\": 0.3081, \"(0.64, 0.67)\": 0.3225, \"(0.67, 0.7)\": 0.333, \"(0.7, 0.75)\": 0.3581, \"(0.75, 0.79)\": 0.3707, \"(0.79, 0.84)\": 0.3833, \"(0.84, 0.9)\": 0.4269, \"(0.9, 0.94)\": 0.4411, \"(0.94, 0.98)\": 0.4595, \"(0.98, 1.01)\": 0.4748, \"(1.01, 1.04)\": 0.4857, \"(1.04, 1.08)\": 0.5024, \"(1.08, 1.12)\": 0.5238, \"(1.12, 1.14)\": 0.5346, \"(1.14, 1.21)\": 0.5494, \"(1.21, 1.29)\": 0.5848, \"(1.29, 1.32)\": 0.6075, \"(1.32, 1.36)\": 0.6186, \"(1.36, 1.39)\": 0.6313, \"(1.39, 1.42)\": 0.6412, \"(1.42, 1.46)\": 0.6575, \"(1.46, 1.49)\": 0.6708, \"(1.49, 1.53)\": 0.6832, \"(1.53, 1.59)\": 0.7004, \"(1.59, 1.64)\": 0.7209, \"(1.64, 1.69)\": 0.7349, \"(1.69, 1.74)\": 0.753, \"(1.74, 1.79)\": 0.7688, \"(1.79, 1.83)\": 0.7861, \"(1.83, 1.87)\": 0.7964, \"(1.87, 1.9)\": 0.8079, \"(1.9, 1.95)\": 0.8182, \"(1.95, 2.01)\": 0.8287, \"(2.01, 2.08)\": 0.8524, \"(2.08, 2.13)\": 0.8649, \"(2.13, 2.18)\": 0.8763, \"(2.18, 2.25)\": 0.8919, \"(2.25, 2.3)\": 0.9019, \"(2.3, 2.36)\": 0.9137, \"(2.36, 2.43)\": 0.9261, \"(2.43, 2.49)\": 0.9398, \"(2.49, 2.58)\": 0.9501, \"(2.58, 2.68)\": 0.9633, \"(2.68, 2.78)\": 0.9737, \"(2.78, 2.93)\": 0.9841, \"(2.93, 3.47)\": 0.9946, \"(3.47, 3.59)\": 0.9846, \"(3.59, 3.67)\": 0.9741, \"(3.67, 3.77)\": 0.9641, \"(3.77, 3.85)\": 0.9489, \"(3.85, 3.9)\": 0.9376, \"(3.9, 3.96)\": 0.9259, \"(3.96, 4.02)\": 0.9153, \"(4.02, 4.06)\": 0.9047, \"(4.06, 4.11)\": 0.8912, \"(4.11, 4.18)\": 0.8794, \"(4.18, 4.24)\": 0.8653, \"(4.24, 4.27)\": 0.8503, \"(4.27, 4.34)\": 0.8393, \"(4.34, 4.39)\": 0.8207, \"(4.39, 4.43)\": 0.8104, \"(4.43, 4.49)\": 0.7912, \"(4.49, 4.53)\": 0.7756, \"(4.53, 4.59)\": 0.7616, \"(4.59, 4.67)\": 0.7429, \"(4.67, 4.72)\": 0.7118, \"(4.72, 4.75)\": 0.7016, \"(4.75, 4.79)\": 0.6897, \"(4.79, 4.82)\": 0.6738, \"(4.82, 4.86)\": 0.6591, \"(4.86, 4.92)\": 0.6458, \"(4.92, 4.96)\": 0.623, \"(4.96, 5.0)\": 0.611, \"(5.0, 5.04)\": 0.5949, \"(5.04, 5.1)\": 0.5694, \"(5.1, 5.14)\": 0.5503, \"(5.14, 5.17)\": 0.5379, \"(5.17, 5.19)\": 0.5265, \"(5.19, 5.22)\": 0.5162, \"(5.22, 5.26)\": 0.5022, \"(5.26, 5.28)\": 0.4887, \"(5.28, 5.31)\": 0.477, \"(5.31, 5.33)\": 0.4632, \"(5.33, 5.38)\": 0.4495, \"(5.38, 5.44)\": 0.4246, \"(5.44, 5.47)\": 0.406, \"(5.47, 5.51)\": 0.3882, \"(5.51, 5.56)\": 0.3655, \"(5.56, 5.59)\": 0.3458, \"(5.59, 5.63)\": 0.334, \"(5.63, 5.67)\": 0.3111, \"(5.67, 5.71)\": 0.2975, \"(5.71, 5.74)\": 0.2766, \"(5.74, 5.77)\": 0.2625, \"(5.77, 5.81)\": 0.249, \"(5.81, 5.85)\": 0.2204, \"(5.85, 5.91)\": 0.2078, \"(5.91, 5.96)\": 0.1718, \"(5.96, 6.02)\": 0.1467, \"(6.02, 6.05)\": 0.123, \"(6.05, 6.07)\": 0.1124, \"(6.07, 6.09)\": 0.1023, \"(6.09, 6.12)\": 0.0888, \"(6.12, 6.16)\": 0.0774, \"(6.16, 6.2)\": 0.054, \"(6.2, 6.21)\": 0.0401, \"(6.21, 6.24)\": 0.0296, \"(6.24, 6.34)\": 0.0193, \"(6.34, 6.38)\": 0.0384, \"(6.38, 6.44)\": 0.0607, \"(6.44, 6.48)\": 0.0831, \"(6.48, 6.51)\": 0.1047, \"(6.51, 6.55)\": 0.119, \"(6.55, 6.59)\": 0.139, \"(6.59, 6.65)\": 0.1659, \"(6.65, 6.69)\": 0.1946, \"(6.69, 6.73)\": 0.2134, \"(6.73, 6.77)\": 0.2272, \"(6.77, 6.8)\": 0.246, \"(6.8, 6.83)\": 0.2562, \"(6.83, 6.86)\": 0.2794, \"(6.86, 6.9)\": 0.2898, \"(6.9, 6.92)\": 0.3074, \"(6.92, 6.97)\": 0.3201, \"(6.97, 6.99)\": 0.3415, \"(6.99, 7.02)\": 0.3525, \"(7.02, 7.06)\": 0.3676, \"(7.06, 7.1)\": 0.3896, \"(7.1, 7.13)\": 0.4029, \"(7.13, 7.17)\": 0.4129, \"(7.17, 7.25)\": 0.4366, \"(7.25, 7.29)\": 0.4792, \"(7.29, 7.35)\": 0.4904, \"(7.35, 7.43)\": 0.5296, \"(7.43, 7.47)\": 0.5502, \"(7.47, 7.51)\": 0.5662, \"(7.51, 7.54)\": 0.5844, \"(7.54, 7.59)\": 0.5953, \"(7.59, 7.64)\": 0.6168, \"(7.64, 7.68)\": 0.6344, \"(7.68, 7.73)\": 0.6511, \"(7.73, 7.77)\": 0.6659, \"(7.77, 7.81)\": 0.6795, \"(7.81, 7.85)\": 0.6966, \"(7.85, 7.88)\": 0.7066, \"(7.88, 7.91)\": 0.7194, \"(7.91, 7.97)\": 0.7295, \"(7.97, 8.02)\": 0.7507, \"(8.02, 8.08)\": 0.7715, \"(8.08, 8.13)\": 0.7875, \"(8.13, 8.18)\": 0.7995, \"(8.18, 8.22)\": 0.8135, \"(8.22, 8.26)\": 0.8268, \"(8.26, 8.31)\": 0.8387, \"(8.31, 8.35)\": 0.8513, \"(8.35, 8.4)\": 0.8615, \"(8.4, 8.46)\": 0.8736, \"(8.46, 8.51)\": 0.8861, \"(8.51, 8.56)\": 0.897, \"(8.56, 8.63)\": 0.9089, \"(8.63, 8.71)\": 0.9278, \"(8.71, 8.78)\": 0.9386, \"(8.78, 8.85)\": 0.9501, \"(8.85, 8.93)\": 0.9603, \"(8.93, 9.05)\": 0.9722, \"(9.05, 9.2)\": 0.9828, \"(9.2, 9.78)\": 0.9936, \"(9.78, 9.91)\": 0.9818, \"(9.91, 9.99)\": 0.9682}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3477,7 +2837,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3493,13 +2853,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.97, -9.94)\": 20907.1, \"(-9.94, -9.92)\": 20591.2, \"(-9.92, -9.89)\": 19998.3, \"(-9.89, -9.88)\": 19729.3, \"(-9.88, -9.85)\": 19300.1, \"(-9.85, -9.84)\": 18815.0, \"(-9.84, -9.82)\": 18587.4, \"(-9.82, -9.81)\": 18333.4, \"(-9.81, -9.78)\": 17992.0, \"(-9.78, -9.76)\": 17483.5, \"(-9.76, -9.74)\": 17270.1, \"(-9.74, -9.72)\": 16805.7, \"(-9.72, -9.7)\": 16434.0, \"(-9.7, -9.68)\": 16129.0, \"(-9.68, -9.66)\": 15916.5, \"(-9.66, -9.64)\": 15671.4, \"(-9.64, -9.63)\": 15344.9, \"(-9.63, -9.61)\": 15054.1, \"(-9.61, -9.57)\": 14704.3, \"(-9.57, -9.55)\": 14204.5, \"(-9.55, -9.54)\": 13938.9, \"(-9.54, -9.52)\": 13715.7, \"(-9.52, -9.49)\": 13436.7, \"(-9.49, -9.46)\": 12979.0, \"(-9.46, -9.45)\": 12758.0, \"(-9.45, -9.42)\": 12522.7, \"(-9.42, -9.39)\": 12294.8, \"(-9.39, -9.35)\": 11679.6, \"(-9.35, -9.31)\": 11364.2, \"(-9.31, -9.25)\": 10742.8, \"(-9.25, -9.23)\": 10328.0, \"(-9.23, -9.2)\": 10075.0, \"(-9.2, -9.17)\": 9791.6, \"(-9.17, -9.13)\": 9419.0, \"(-9.13, -9.09)\": 9096.2, \"(-9.09, -9.05)\": 8779.3, \"(-9.05, -9.03)\": 8447.6, \"(-9.03, -9.0)\": 8198.9, \"(-9.0, -8.91)\": 7981.2, \"(-8.91, -8.83)\": 7068.6, \"(-8.83, -8.78)\": 6727.3, \"(-8.78, -8.75)\": 6419.2, \"(-8.75, -8.7)\": 6187.2, \"(-8.7, -8.66)\": 5943.3, \"(-8.66, -8.56)\": 5697.0, \"(-8.56, -8.45)\": 4912.8, \"(-8.45, -8.39)\": 4618.4, \"(-8.39, -8.34)\": 4374.8, \"(-8.34, -8.28)\": 4136.7, \"(-8.28, -8.19)\": 3881.0, \"(-8.19, -8.12)\": 3479.6, \"(-8.12, -8.03)\": 3263.3, \"(-8.03, -7.95)\": 3038.3, \"(-7.95, -7.88)\": 2820.9, \"(-7.88, -7.79)\": 2599.6, \"(-7.79, -7.68)\": 2373.0, \"(-7.68, -7.55)\": 2126.9, \"(-7.55, -7.43)\": 1895.5, \"(-7.43, -7.29)\": 1675.3, \"(-7.29, -7.14)\": 1460.9, \"(-7.14, -6.94)\": 1249.3, \"(-6.94, -6.71)\": 1032.8, \"(-6.71, -6.42)\": 822.1, \"(-6.42, -5.98)\": 606.4, \"(-5.98, -5.21)\": 394.3, \"(-5.21, 9.98)\": 182.8}\n", + "Means: {\"(-9.99, -9.9)\": 2087.2, \"(-9.9, -9.82)\": 1818.5, \"(-9.82, -9.73)\": 1469.3, \"(-9.73, -9.67)\": 1182.0, \"(-9.67, -9.6)\": 932.1, \"(-9.6, -9.52)\": 657.2, \"(-9.52, -9.45)\": 310.8, \"(-9.45, -9.35)\": 11.0, \"(-9.35, -9.24)\": -400.9, \"(-9.24, -9.14)\": -957.3, \"(-9.14, -9.04)\": -1253.3, \"(-9.04, -8.98)\": -1501.7, \"(-8.98, -8.91)\": -1744.7, \"(-8.91, -8.8)\": -2052.9, \"(-8.8, -8.71)\": -2345.5, \"(-8.71, -8.61)\": -2681.5, \"(-8.61, -8.51)\": -2929.4, \"(-8.51, -8.38)\": -3210.3, \"(-8.38, -8.22)\": -3471.7, \"(-8.22, -7.9)\": -3758.0, \"(-7.9, -7.49)\": -3997.2, \"(-7.49, -7.32)\": -3689.3, \"(-7.32, -7.2)\": -3445.9, \"(-7.2, -7.1)\": -3150.4, \"(-7.1, -7.01)\": -2889.1, \"(-7.01, -6.93)\": -2625.1, \"(-6.93, -6.86)\": -2389.3, \"(-6.86, -6.78)\": -2144.2, \"(-6.78, -6.72)\": -1879.5, \"(-6.72, -6.63)\": -1556.4, \"(-6.63, -6.56)\": -1306.4, \"(-6.56, -6.49)\": -1060.1, \"(-6.49, -6.43)\": -822.0, \"(-6.43, -6.36)\": -522.6, \"(-6.36, -6.29)\": -266.1, \"(-6.29, -6.23)\": -24.5, \"(-6.23, -6.15)\": 318.1, \"(-6.15, -6.09)\": 557.3, \"(-6.09, -5.99)\": 926.1, \"(-5.99, -5.93)\": 1189.7, \"(-5.93, -5.83)\": 1538.0, \"(-5.83, -5.75)\": 1773.4, \"(-5.75, -5.67)\": 2103.6, \"(-5.67, -5.59)\": 2343.9, \"(-5.59, -5.49)\": 2592.2, \"(-5.49, -5.37)\": 2933.4, \"(-5.37, -5.24)\": 3228.4, \"(-5.24, -5.09)\": 3496.3, \"(-5.09, -4.22)\": 3754.5, \"(-4.22, -4.09)\": 3500.8, \"(-4.09, -3.97)\": 3210.1, \"(-3.97, -3.88)\": 2927.8, \"(-3.88, -3.79)\": 2665.4, \"(-3.79, -3.72)\": 2422.7, \"(-3.72, -3.66)\": 2158.1, \"(-3.66, -3.57)\": 1888.9, \"(-3.57, -3.47)\": 1551.7, \"(-3.47, -3.38)\": 1189.4, \"(-3.38, -3.27)\": 810.6, \"(-3.27, -3.17)\": 360.8, \"(-3.17, -3.08)\": -54.6, \"(-3.08, -3.0)\": -346.7, \"(-3.0, -2.93)\": -601.8, \"(-2.93, -2.83)\": -949.7, \"(-2.83, -2.76)\": -1275.4, \"(-2.76, -2.69)\": -1536.5, \"(-2.69, -2.61)\": -1795.7, \"(-2.61, -2.52)\": -2042.4, \"(-2.52, -2.41)\": -2420.6, \"(-2.41, -2.31)\": -2695.7, \"(-2.31, -2.19)\": -3013.4, \"(-2.19, -2.04)\": -3344.8, \"(-2.04, -1.89)\": -3587.7, \"(-1.89, -1.1)\": -3824.0, \"(-1.1, -0.96)\": -3524.3, \"(-0.96, -0.86)\": -3260.6, \"(-0.86, -0.77)\": -3003.0, \"(-0.77, -0.68)\": -2753.8, \"(-0.68, -0.6)\": -2488.9, \"(-0.6, -0.53)\": -2242.9, \"(-0.53, -0.47)\": -1991.7, \"(-0.47, -0.36)\": -1750.9, \"(-0.36, -0.27)\": -1335.0, \"(-0.27, -0.19)\": -1035.7, \"(-0.19, -0.08)\": -587.4, \"(-0.08, -0.02)\": -306.2, \"(-0.02, 0.06)\": 39.8, \"(0.06, 0.13)\": 279.8, \"(0.13, 0.24)\": 600.1, \"(0.24, 0.33)\": 1041.6, \"(0.33, 0.4)\": 1338.9, \"(0.4, 0.46)\": 1588.5, \"(0.46, 0.54)\": 1854.6, \"(0.54, 0.61)\": 2094.9, \"(0.61, 0.7)\": 2350.4, \"(0.7, 0.79)\": 2594.8, \"(0.79, 0.91)\": 2902.9, \"(0.91, 1.05)\": 3202.9, \"(1.05, 1.22)\": 3518.1, \"(1.22, 2.06)\": 3769.4, \"(2.06, 2.19)\": 3530.7, \"(2.19, 2.29)\": 3230.7, \"(2.29, 2.38)\": 2986.0, \"(2.38, 2.45)\": 2744.5, \"(2.45, 2.53)\": 2509.7, \"(2.53, 2.61)\": 2246.9, \"(2.61, 2.71)\": 1924.9, \"(2.71, 2.78)\": 1617.4, \"(2.78, 2.88)\": 1329.2, \"(2.88, 2.96)\": 1030.2, \"(2.96, 3.05)\": 628.7, \"(3.05, 3.13)\": 309.3, \"(3.13, 3.19)\": -15.3, \"(3.19, 3.28)\": -278.7, \"(3.28, 3.38)\": -657.0, \"(3.38, 3.45)\": -966.8, \"(3.45, 3.53)\": -1215.7, \"(3.53, 3.61)\": -1535.5, \"(3.61, 3.69)\": -1821.9, \"(3.69, 3.78)\": -2058.7, \"(3.78, 3.85)\": -2374.2, \"(3.85, 3.96)\": -2643.8, \"(3.96, 4.08)\": -2923.7, \"(4.08, 4.25)\": -3277.9, \"(4.25, 4.46)\": -3538.7, \"(4.46, 5.08)\": -3796.2, \"(5.08, 5.22)\": -3557.3, \"(5.22, 5.35)\": -3281.7, \"(5.35, 5.46)\": -2924.1, \"(5.46, 5.54)\": -2645.9, \"(5.54, 5.64)\": -2358.3, \"(5.64, 5.72)\": -2088.7, \"(5.72, 5.82)\": -1710.9, \"(5.82, 5.88)\": -1435.5, \"(5.88, 5.94)\": -1149.7, \"(5.94, 6.02)\": -890.6, \"(6.02, 6.07)\": -602.8, \"(6.07, 6.13)\": -315.4, \"(6.13, 6.2)\": -70.8, \"(6.2, 6.28)\": 173.8, \"(6.28, 6.34)\": 644.6, \"(6.34, 6.44)\": 918.7, \"(6.44, 6.5)\": 1374.8, \"(6.5, 6.6)\": 1652.3, \"(6.6, 6.69)\": 2174.5, \"(6.69, 6.77)\": 2421.3, \"(6.77, 6.85)\": 2817.5, \"(6.85, 6.91)\": 3098.7, \"(6.91, 6.96)\": 3370.3, \"(6.96, 7.04)\": 3620.0, \"(7.04, 7.12)\": 3988.6, \"(7.12, 7.19)\": 4257.5, \"(7.19, 7.26)\": 4494.7, \"(7.26, 7.34)\": 4764.4, \"(7.34, 7.41)\": 5077.1, \"(7.41, 7.5)\": 5321.5, \"(7.5, 7.58)\": 5599.6, \"(7.58, 7.68)\": 5875.1, \"(7.68, 7.77)\": 6148.5, \"(7.77, 7.87)\": 6383.3, \"(7.87, 7.98)\": 6634.6, \"(7.98, 8.09)\": 6918.1, \"(8.09, 8.2)\": 7161.5, \"(8.2, 8.32)\": 7418.5, \"(8.32, 8.43)\": 7697.6, \"(8.43, 8.53)\": 7960.8, \"(8.53, 8.63)\": 8205.8, \"(8.63, 8.7)\": 8450.0, \"(8.7, 8.79)\": 8703.8, \"(8.79, 8.85)\": 8939.0, \"(8.85, 8.92)\": 9214.7, \"(8.92, 9.0)\": 9489.5, \"(9.0, 9.07)\": 9827.2, \"(9.07, 9.16)\": 10102.4, \"(9.16, 9.26)\": 10848.5, \"(9.26, 9.32)\": 11287.3, \"(9.32, 9.35)\": 11566.3, \"(9.35, 9.39)\": 11830.1, \"(9.39, 9.42)\": 12144.9, \"(9.42, 9.46)\": 12510.8, \"(9.46, 9.51)\": 12770.6, \"(9.51, 9.55)\": 13282.2, \"(9.55, 9.6)\": 13646.1, \"(9.6, 9.64)\": 14267.8, \"(9.64, 9.66)\": 14645.0, \"(9.66, 9.7)\": 14940.3, \"(9.7, 9.74)\": 15620.7, \"(9.74, 9.77)\": 15878.4, \"(9.77, 9.82)\": 16336.3, \"(9.82, 9.88)\": 17300.7, \"(9.88, 9.93)\": 18341.1, \"(9.93, 9.96)\": 18879.0, \"(9.96, 10.0)\": 19420.4}\n", "\n" ] }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGzCAYAAAD9pBdvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAABNO0lEQVR4nO3de1yUdd4//tfMwMyAwiAiDBgKmmmEeUoRXTtSWK7ldt97m1tprlmatpV971tpUzxs6lZr3Vum1aa2t7tltW3l6tLPLGtLlBItCTvIwSMDAjIgp4G5Pr8/2JkcmcM1MOd5PR+PeTzimvd1zedyYubN5/D+KIQQAkRERER+ovR3A4iIiCi8MRkhIiIiv2IyQkRERH7FZISIiIj8iskIERER+RWTESIiIvIrJiNERETkV0xGiIiIyK+YjBAREZFfMRkhIq86deoUtFotvvjiC383RbbNmzdj0KBBaG9v93dTiMICkxEi8qrVq1cjKysLkydP9sr1TSYTbrzxRigUCtxxxx0wm8124+rq6vDMM8/g2muvxYABAxAXF4eJEydix44d3WLvu+8+mEwmvPzyy15pMxHZYjJCRF5z7tw5vP7661iwYIFXri+EwNy5c/HJJ59g2rRp+OCDD/Cb3/zGbmxhYSF++9vfIj4+Hk8++SSeeuopREdH46677kJ+fr5NrFarxZw5c7BhwwZw+y4iHxBERF6yYcMGERUVJZqamrxy/aVLlwqFQiE2btwohBBizZo1AoBYv359t9jy8nJRWVlpc0ySJHHjjTcKjUYjLly4YPPcV199JQCIvXv3eqXtRPQT9owQhYkzZ87g17/+NZKSkqDRaHDVVVdhy5YtAIDW1laMGDECI0aMQGtrq/Wc+vp6JCcnY9KkSdbhj/vuuw99+/ZFeXk5cnNz0adPH6SkpGD16tXdehHee+89ZGVloW/fvi7b9/HHH0OpVGLFihU2x//6179CoVBg06ZNNsdfeuklPP3003jppZfw0EMPAQCefPJJ/O53v0NeXh7eeOMNm/j09HQMHjzY5phCocCMGTPQ3t6O8vJym+fGjRuH+Ph4vP/++y7bTkS95O9siIi8z2AwiMsuu0ykpqaK1atXi02bNonbb79dABDPPfecEEKIAwcOCJVKJR577DHreXfddZeIiooS33//vfXYnDlzhFarFcOGDRP33nuvePHFF8XPf/5zAUAsX77cGmcymURUVJRYsmSJ7HYuWrRIREREiEOHDgkhhDh79qyIj48XOTk5QpIka9z7778vIiIixMsvv2z3OmvXrhVqtVp8/PHHLl/ziSeeEADE2bNnuz2Xk5Mjxo0bJ7v9RNQzTEaIwsC8efNEcnKyqK2ttTl+1113CZ1OJ1paWoQQQuTl5QmlUik+++wz8fbbbwsA4vnnn7c5Z86cOQKAePjhh63HJEkS06ZNE2q1Wpw7d04IIcTx48cFAPHCCy/Ibmdzc7O4/PLLxVVXXSXa2trEtGnTRGxsrDhx4kRPb92puro6kZiYKKZMmWL3+QceeEBERUV55bWJ6CccpiEKcUII/O1vf8P06dMhhEBtba31kZubC6PRiOLiYgDAypUrcdVVV2HOnDl46KGHcN111zmcELp48WLrfysUCixevBgmkwkfffQRgK7VKwDQr18/2W2Njo7Gtm3bcOzYMVx77bXYtWsXnnvuOQwaNKint++QJEm4++670dDQgBdeeMFuTL9+/dDa2oqWlhaPvz4R/STC3w0gIu86d+4cGhoa8Morr+CVV16xG1NTUwMAUKvV2LJlC8aPHw+tVoutW7dCoVB0i1cqlRgyZIjNsSuuuAIAUFlZaXNcXDKP5MKFC7hw4YL1Z5VKhQEDBlh/njx5MhYuXIiNGzciNzcXv/71r+XfrBsefvhhFBQU4M9//jNGjRplN8bSdnv/BkTkOUxGiEKcJEkAgHvuuQdz5syxG3P11Vdb//vDDz8EALS1teHHH39Eenp6j163f//+AIDz58/bHH/22WexatUq68+DBw+2SWDa29uxb98+AEBZWRlaWloQHR3dozY4smrVKrz00ktYv3497r33Xodx58+fR3R0NKKiojz6+kRki8kIUYgbMGAAYmJiYDabkZOT4zT2m2++werVqzF37lwcOXIE999/P44ePQqdTmcTJ0kSysvLrb0hAPDDDz8AANLS0gAAgwYNQlRUFCoqKmzOnT17Nn72s59Zf770iz4/Px/Hjh3Ds88+i6VLl2LZsmX44x//6PZ9O7Jx40asXLkSjz76KJYuXeo0tqKiAldeeaXHXpuIHPDvlBUi8oX77rtPqNVqcfTo0W7P1dTUCCG6Vr+MGTNGpKWlicbGRvH1118LtVot5s6daxPvbAJrZGSk9XpCCDFlyhSHk0PtsazosazAWbZsmVAoFGLfvn1u3a8jb775plAqleLuu++2WZ3jSHx8vM19EpF3KIRgeUGiUFddXY2srCycO3cO8+fPR0ZGBurr61FcXIyPPvoI9fX1yM/Px5o1a7B3717ccMMNAICnnnoKTz75JHbt2oXbbrsNQFedkR07diA1NRXZ2dnIysrCP//5T/zjH//AE088gaeeesr6un/4wx/w29/+FjU1NYiNjXXaxra2NowePRoKhQKHDx+GVquFyWTC2LFj0dLSgqNHj6JPnz49/jcoKirClClToNPp8Pvf/x6RkZE2z0+aNMlmHsyhQ4dwzTXX4KOPPsJNN93U49clIhn8nQ0RkW9UV1eLRYsWidTUVBEZGSn0er246aabxCuvvCIOHTokIiIiuvUCdHZ2ivHjx4uUlBRx/vx5IURXz0ifPn1EWVmZuOWWW0R0dLRISkoS+fn5wmw2d3vNiIgI8X//938u2/fYY48JlUolDh48aHP8q6++EhEREWLhwoW9uv+tW7cKAA4fW7dutYlfunSpGDRokKweFCLqHfaMEJFb7rvvPrzzzjs2K2KcmTdvHn744Qf861//8nLLPKe9vR1paWlYtmwZHnnkEX83hyjksc4IEXlVfn4+vvzyS3zxxRf+bopsW7duRWRkpNc2+CMiW+wZISK3uNszQkTkCntGiIiIyK/YM0JERER+xZ4RIiIi8ismI0RERORXQVEOXpIknD17FjExMdywioiIKEgIIdDU1ISUlBQolY77P4IiGTl79ixSU1P93QwiIiLqgVOnTuGyyy5z+HxQJCMxMTEAum7GVUlpIiIiCgyNjY1ITU21fo87EhTJiGVoJjY2lskIERFRkHE1xYITWImIiMivmIwQERGRXzEZISIiIr9iMkJERER+xWSEiIiI/IrJCBEREfkVkxEiIiLyKyYjRERE5FdBUfSMiEKPWRIoqqhHTVMbEmO0mJAeD5WSe08RhSO3e0Y+++wzTJ8+HSkpKVAoFHjvvfdcnrNv3z6MHTsWGo0Gl19+ObZt29aDphJRqNj9TRXG/+4jzHr1AB558whmvXoAV6/8EM/v+QFmSfi7eUTkY24nI83NzRg1ahQ2btwoK76iogLTpk3DDTfcgCNHjuDRRx/F/fffjw8//NDtxhJR8Fu3uxQP/bUY9S0mm+PNJjOe3/sjRq4sQEFJlZ9aR0T+oBBC9PjPEIVCgb///e+YMWOGw5ilS5di165dKCkpsR6766670NDQgIKCAlmv09jYCJ1OB6PRyL1piILY7m/O4qG/HpYVu/mesZiamezlFhGRN8n9/vb6BNbCwkLk5OTYHMvNzUVhYaHDc9rb29HY2GjzIKLgZpYEHttxRHb80r99wyEbojDh9WTEYDAgKSnJ5lhSUhIaGxvR2tpq95x169ZBp9NZH6mpqd5uJhF52f7jtWg3y08ujK2dOFBW58UWEVGgCMilvXl5eTAajdbHqVOn/N0kIuqlFz7+0e1zCstrvdASIgo0Xl/aq9frUV1dbXOsuroasbGxiIqKsnuORqOBRqPxdtOIyEfMkkDxyQa3zys71+z5xhBRwPF6z0h2djb27t1rc2zPnj3Izs729ksTUYA4UFaHzh7M//hniYEra4jCgNvJyIULF3DkyBEcOXIEQNfS3SNHjuDkyZMAuoZYZs+ebY1fsGABysvL8T//8z/47rvv8NJLL+Gtt97CY4895pk7IKKAt/1gZY/PXbWzlBNZiUKc28nIV199hTFjxmDMmDEAgCVLlmDMmDFYsWIFAKCqqsqamABAeno6du3ahT179mDUqFH4wx/+gD/96U/Izc310C0QUSAzSwL/+rHncz+qjG0oqqj3YIuIKNC4PWfk+uuvh7PSJPaqq15//fU4fFhebQEiCi1FFfW40G7u1TWqGuyvvCOi0BCQq2mIKHTUNLX1+hp/P3zaAy0hokDFZISIvCoxRtvraxysqOe8EaIQxmSEiLxqQno8knVa9GY/XpNZcN4IUQhjMkJEXqVSKpA/PQMAepWQeGK4h4gCE5MRIvK6qZnJ2HTPWOh1tkM2yTotIlXyUhRPDPcQUWDyegVWIiKzJKCLUuN/coejvtmE+L4a6GO1mJAej39+U4XFbzpfbacAMG5wP980loh8jskIEXlVQUkVVn5QCkPjT8Ms+lgtVt6eAZVSgX591C6vIQB8WVGPycMSvNhSIvIXDtMQkdcUlFRhwfZim0QEAAyNbViwvRgFJVWyN8PjpnlEoYvJCBF5hVkSWPbuUacxee8ehZMaipfozfRXIgpkTEaIyCsOlNehoaXDacz5lg7ooiJlXS97aH9PNIuIAhCTESLyiv1l8oZVzreaEBftPCHpo1Fh4hAmI0ShiskIEXnF6foWWXFnz7di/Z0jncY0t5uxp9TgiWYRUQBiMkJEfndzhh7RapXTmGXvHmVJeKIQxWSEiLzisn7RsuMOlNWhxeR8Z9+Glg4cKKvzRNOIKMAwGSEir4hUyft4mXR5guxlu385WNmLFhFRoGIyQkQeZ5YE3vzypMu4ftGR/56YKm/Z7qc/1nKohigEMRkhIo8rqqiHobHdZdx9k9KhUipkL9ttbjdz916iEMRkhIg8Tu4Ou2kJXfNKJg7p73ICq4XB2NrjdhFRYGIyQkQel9BX41acSqnAbZl6WefUN5t63C4iCkxMRojI8+RO67gobvKwAbJOiZeZ6BBR8GAyQkQeV9vser7IpXH6WK2sc+TGEVHwYDJCRB6XGCMvYbg4bkJ6PJJ1rs87LzPRIaLgwWSEiDzOklg4WrCrAJCs02JCerz1mEqpwPJpGS6vvWbXMS7vJQoxTEaIyONUSgXyp3clFpcmJJaf86dnQKW0fbZfH7XLa1cZ27i8lyjEMBkhIq+YmpmMTfeMhf6SoRe9TotN94zF1MzkbufIXRIsN46IgkOEvxtARKFramYybs7Qo6iiHjVNbUiM6RqaubRHxKInc02IKPgxGSEir3KnwuqE9HjERUeioaXDYUxcdKTNXBMiCn5MRojIa8ySkN0rIlfvziaiQMRkhIi8oqCkCqt2lqLK+NP8jmSdFvnTM+zOFwG69rRx1isCAOdbOlBUUS+7t4WIAh8nsBKRxxWUVGHh9mKbRAQADMY2LNxejIKSKrvncQIrUXhiMkJEHmWWBJa9e9RuRXjLsVU7S+3WCuEEVqLwxGSEiDzqxY9/dDrUIuC4VgirsBKFJyYjROQxZklg6xeVsmLtDbWwCitReGIyQkQeU1RRj4ZW5xNQLRwNtbAKK1H4YTJCRB4jd2Kps1ohhkZ515AbR0SBj8kIEXmM3ImlcyelO6w3UiszoZEbR0SBj8kIEXmMq916ga5ekcU3Xu7weVd1RtyNI6LAx2SEiDzG2W69FuvvHOm0CqtCIa/Gqtw4Igp8TEaIyKMc7dabrNNis4Pdei8mt7IqK7AShQ6Wgycij3N3t96LTRzS3+Vmef2iIzFxCJMRolDBZISIvMKd3XovPW/9nSOxYHuxw5j/uuayXm+4R0SBg8M0RBRwpmYm48Fr0x0+/8pnFQ73tyGi4MNkhIg8ziwJFJbV4f0jZ1BYVud2tVSzJPDB186TDUf72xBR8OEwDRF5VEFJFVZ+UGpTlEwfq8XK2zNcTl61KKqo77bj78Uu3t+GE1mJgh97RojIYwpKqrBge3G36qiGxjYs2F4se2hFbiVXuXFEFNiYjBCRR5glgWXvHnUak/fuUVlDK3IrucqNI6LAxmSEiDziQHmdy6qo51s6cKC8zuW1xg3uB1eLZZSKrjgiCn5MRojIIwrLXCcZcuMOnTgPVx0okuiKI6Lgx2SEiDxE7soW13GcM0IUXpiMEJFHZA9J8Fgc54wQhRcmI0TkEePT4z0W52r3XwW69rqZIPM1iSiwMRkhIo/4sqLeY3HOdv+1/Jw/PYMl4YlCBJMRIvKI7QcrZcUVltfKinO0+69ep8UmGbv/ElHwYAVWIuo1syTwrx/lJRnd+zoc683uv0QUPNgzQkS9VlRRjwvtZlmx7pZvVykVmJAej8QYLWqaukrAc08aotDCnhEi6jW5S2z7qFWYOMS9ZKSgpAqrdpba7FWTrNMif7r8vW6IKLCxZ4SIei2hr0ZW3Pwp6W4NsRSUVGHh9uJum+YZjG1Y6MZeN0QU2HqUjGzcuBFpaWnQarXIyspCUVGR0/jnn38ew4cPR1RUFFJTU/HYY4+hrY3FiohChsxRk/Fp8ntFzJLAqp2ldi9tObZqZymHbIhCgNvJyI4dO7BkyRLk5+ejuLgYo0aNQm5uLmpqauzG//Wvf8WyZcuQn5+PY8eO4bXXXsOOHTvwxBNP9LrxRBQYvFExtaiivluPyMUEgCpj1xwSIgpubicjGzZswPz58zF37lxkZGRg8+bNiI6OxpYtW+zG79+/H5MnT8avfvUrpKWl4ZZbbsGsWbOc9qa0t7ejsbHR5kFEgau+2eTROIAl4YnCiVvJiMlkwqFDh5CTk/PTBZRK5OTkoLCw0O45kyZNwqFDh6zJR3l5OXbv3o3bbrvN4eusW7cOOp3O+khNTXWnmUTkY/Ey54zIjQNYEp4onLiVjNTW1sJsNiMpKcnmeFJSEgwGg91zfvWrX2H16tX42c9+hsjISAwdOhTXX3+902GavLw8GI1G6+PUqVPuNJOIfEwfKy8hkBsHsCQ8UTjx+mqaffv2Ye3atXjppZdQXFyMd999F7t27cKaNWscnqPRaBAbG2vzIKLAZUkcnHE3cWBJeKLw4VYykpCQAJVKherqapvj1dXV0Ov1ds9Zvnw57r33Xtx///0YOXIkfvGLX2Dt2rVYt24dJEnqecuJKGBYEgcF7CcOCvQscWBJeKLw4FbRM7VajXHjxmHv3r2YMWMGAECSJOzduxeLFy+2e05LSwuUStucR6VSAQCE4JI8olBhSRwuLVCm72WBMpaEJwp9bldgXbJkCebMmYNrrrkGEyZMwPPPP4/m5mbMnTsXADB79mwMHDgQ69atAwBMnz4dGzZswJgxY5CVlYXjx49j+fLlmD59ujUpIaLQcHOGHjGayH9vhqdA9tD+mDikf68TB0tJeEtCUlRRz4SEKIS4nYzMnDkT586dw4oVK2AwGDB69GgUFBRYJ7WePHnSpifkySefhEKhwJNPPokzZ85gwIABmD59Op566inP3QUR+Z29su1/Kz7tkbLtLAlPFNoUIgjGShobG6HT6WA0GjmZlSgAWcq2X/phYum36M38Dm9em4i8S+73N/emIaJe8WbZdpaEJwoPTEaIqFe8WbadJeGJwgOTESLqFW+WbWdJeKLwwGSEiHrFm2XbWRKeKDwwGSGiXvFm2fYJ6fGIi450GhMXHcmS8ERBjskIEfWKv8u2d5hZyZko2DEZIaJe81bZ9qKKejS0dDiNaW4348WPf+zR9YkoMLhd9IyIyB5vlG2XOzH1lc/KsfjGYazIShSkmIwQkceolF0l4D1F7sTUZpMZB8rrMPnyBI+9NhH5DodpiChgTUiPR1+NvD2sCsvqvNwaIvIWJiNEFLBUSgV+Nkxeb4ewW6eViIIBkxEi8gizJFBYVof3j5xBYVmdx0q0jxvUT1ZcXJTzJcBEFLg4Z4SIes2bu+om9NV4NI6IAg97RoioVyy76l66h4zB2IaF24tRUFLVq+vrdVEejSOiwMNkhIh6zBe76loqvDrT0wqvRBQYmIwQUY/5YlddS4VXZxVEvFnhlYi8j8kIEfWYr3bVtVR4tbdPjau9a4go8DEZIaIe8/XkUqOd0vDGlg6PzE0hIv9hMkJEPSd3KkgvV/n6Ym4KEfkPkxEi6rHa5naPxjnii7kpROQ/TEaIqMcqa5tlxcndY8YRX81NISL/YDJCRD1ilgTeKDrpMs4Ty25Z+IwotDEZIaIeKaqoh6HR9fDLXeMH9X7ZrY/mphCRfzAZIaIekTskkpYQ3evX8tXcFCLyDyYjRNQjcueB9Ha+iK9fi4h8j8kIEfWIpUy7owEYBTxXpn3c4H5wNdKjVHTFEVHwYTJCRD1iKdMOoFtCYvnZU2XaD504D1clRCTRFUdEwYfJCBH1mKVMu/6Sjez0Oi023TMWUzOTPfI6XNpLFNoi/N0AIgpuUzOTcXOGHkUV9ahpakNiTNfQjCc3ruOcEaLQxmSEiHpNpVQge2h/r13fMj/FWRVWADjP1TREQYnDNEQU8FRKBZZPy3AZt2bXMe5PQxSEmIwQUVDo10ftMob70xAFJyYjRBQUOImVKHQxGSGioMBJrEShi8kIEQUFXxZZIyLfYjJCREHBl0XWiMi3mIwQUdCwFFlLitXYHE+K1Xi0yBoR+RaTESIKQo76RogoGDEZIaJeMUsChWV1eP/IGRSW1Xm1zkdBSRUWbi+GodF2xUx1YxsWbi9GQUmV116biLyHFViJqMcKSqqwamepTWXUZJ0W+dMzPD5kYpYEVu0shb1UR6Crb2TVzlLcnKHnvBGiIMOeESLqEUsvxaUl2g1G7/RSFFXUOy0HL8CiZ0TBiskIEbnNVS8F0NVL4ckhGxY9IwpdTEaIyG3+6KVg0TOi0MVkhIjc5o9eChY9IwpdTEaIyG3+6KVg0TOi0MVkhIjc5q9eCkvRM73ONsnR67QsekYUxLi0l4jcZumlWLi9GArAZiKrt3sppmYm4+YMPYoq6lHT1IbEmK6khz0iRMGLPSNE1CP+7KVQKRWYkB6PxBgtapq6Jsp6s9gaEXkXe0aIqMf81Uvhy2JrROR9CiFEwP850djYCJ1OB6PRiNjYWH83h4j8yFJs7dIPLkv6w7kjRIFD7vc3h2mIKGj4o9gaEXkfkxEiChosCU8UmpiMEFHQYEl4otDEZISIggZLwhOFJq6mIaIeMUvC56toLMXWDMY2u/NGAJaEJwpGTEaIyG3+Wlp7cbE1R24flcwCaERBpkfDNBs3bkRaWhq0Wi2ysrJQVFTkNL6hoQGLFi1CcnIyNBoNrrjiCuzevbtHDSYi/7Isrb10ImmVsQ0LtxejoKTKq68/NTMZD1yb7vD5lz+r8HobiMiz3E5GduzYgSVLliA/Px/FxcUYNWoUcnNzUVNTYzfeZDLh5ptvRmVlJd555x18//33ePXVVzFw4MBeN56IfMvZ0lqgazWLt5fWmiWBHV+ddhqT9+5RLu8lCiJuJyMbNmzA/PnzMXfuXGRkZGDz5s2Ijo7Gli1b7MZv2bIF9fX1eO+99zB58mSkpaXhuuuuw6hRo3rdeCLyLVdLawHvL609UF6HhpYOpzHnWzpwoLzOa20gIs9yKxkxmUw4dOgQcnJyfrqAUomcnBwUFhbaPeeDDz5AdnY2Fi1ahKSkJGRmZmLt2rUwm80OX6e9vR2NjY02DyLyP4Ox1aNxPbG/rNajcUTkf24lI7W1tTCbzUhKSrI5npSUBIPBYPec8vJyvPPOOzCbzdi9ezeWL1+OP/zhD/jd737n8HXWrVsHnU5nfaSmprrTTCLykvpmk0fjeuLMeXmJjtw4IvI/r9cZkSQJiYmJeOWVVzBu3DjMnDkTv/3tb7F582aH5+Tl5cFoNFofp06d8nYziUiG+L4aj8b1REqcvBoicuOIyP/cWtqbkJAAlUqF6upqm+PV1dXQ6/V2z0lOTkZkZCRUKpX12JVXXgmDwQCTyQS1Wt3tHI1GA43Gex9mRNQz+lh5X/By43pi8tABeGlfuaw4IgoObvWMqNVqjBs3Dnv37rUekyQJe/fuRXZ2tt1zJk+ejOPHj0OSJOuxH374AcnJyXYTESIKXJaiY854u+jYxKH9ERcd6TQmLjoSE4f291obiMiz3B6mWbJkCV599VW8/vrrOHbsGBYuXIjm5mbMnTsXADB79mzk5eVZ4xcuXIj6+no88sgj+OGHH7Br1y6sXbsWixYt8txdEJFPWIqOKQBcWlbMcix/eoZXi46plAqsv3Ok05j1d45k4TOiIOJ2BdaZM2fi3LlzWLFiBQwGA0aPHo2CggLrpNaTJ09Cqfwpx0lNTcWHH36Ixx57DFdffTUGDhyIRx55BEuXLvXcXRCRz0zNTMame8Zi5QelMDT+tMxX74MKrBe34cFr0/HqvypwcTkRpQKYPyXdJ20gIs/pUTn4xYsXY/HixXaf27dvX7dj2dnZOHDgQE9eiogClm1RMSF8V2SsoKQKr3xW0a34mhDAK59VYMygfkxIiIIId+0lIrdYysEbGtttjlc3tvukHLyzKrCWY96uAktEnsVkhIhkC4REwFUVWAHvV4ElIs9iMkJEsgVCIlDT5LwcvbtxROR/TEaISLZASAQSY+TVMJEbR0T+x2SEiGQLhETAUuvE0cJdBbxf64SIPIvJCBHJdl7GnjPeTgQstU4A+7VOAO/XOiEiz2IyQkSymCWBNbtKXcYtn3al1xMBS60T/SXVYPU6LTbdM5bLeomCTI/qjBBR+HE1edWiXx/f7Cs1NTMZN2foUVRRj5qmNiTGdPXIsEeEKPgwGSEiWQJh8uqlVEoFsrkHDVHQ4zANEckSCJNXiSg0MRkhIlm4ioWIvIXJCBHJwlUsROQtTEaISLapmcnY+Kux6NdHbXOcq1iIqDeYjBCRbAUlVVizqxT1F9Ubie8TieXTrmQiQkQ9xmSEiGSx7NZ76fLe880dWPTXw17frZeIQheTESJyKRB26yWi0MVkhIhcCoTdeokodDEZISKXArHgGRGFDiYjROQSC54RkTexHDwRuWQpeGYwttmdN6JA1/JefxU8M0uCe9QQBTEmI0TkkqXg2cLtxVAANgmJvwueFZRUYdXOUps5Lck6LfKnZ3C5MVGQ4DANEckyNTMZm+4ZC73OdijGnwXPHC03NhjbsHB7MZcbEwUJ9owQkWxTM5Nxc4Y+IIZEXC03VqBrufHNGXoO2RAFOCYjROQWlVKB7KH9/d0Mt5YbB0J7icgxDtMQUVDicmOi0MFkhIiCUkIfjUfjiMh/mIwQUVCShLzS83LjiMh/mIwQUVA6KLP0vNw4IvIfJiNEFKTk9XiUnWvycjuIqLeYjBCRbGZJoLCsDu8fOYPCsjq/7tKbPSRBVty/fvRvO4nINS7tJSJZCkqqsPKDUhgaf1qdoo/VYuXt/ql0OnFof/RRK9FskpzGXWjvxIHyOky+XF7yQkS+x54RInKpoKQKC7YX2yQiAGBobMMCP1U6VSkVmDJsgKzY/cdrvdwaIuoNJiNE5JRZElj27lGnMXnvHvXLUIg6QiUr7tT5Vi+3hIh6g8kIETl1oLwODS0dTmPOt3TgQHmdj1r0k7oL8gqayY0jIv9gMkJEThWWyUsy5MZ5UrRa3rQ3uXFE5B9MRojIBbnDL74fprkmrZ9H44jIP5iMEJFTWWnyNpmTG+dJGck6j8YRkX8wGSEip5QqhUfjPKm+xeTROCLyDyYjRORU7YV2j8Z5UmKM1qNxROQfTEaIyKlA/sKfkB6PZJ0WzvpkknVaTEiP91mbiMh9TEaIyClXX/gK+O8LX6VUIH96htOY20clQ6X0/RASEcnHZISInLr4C//Sr3TLz/nTM/z2hT81MxkPXJvu8PlXPqvwS4VYIpKPyQgRuTQ1Mxmb7hkLvc52KEav02LTPWP9sjeNhVkS+OBrx8mGALBqZyk3yyMKYKwERESyTM1Mxs0ZehRV1KOmqQ2JMV1DM/4eAimqqEeV0XmF1SpjG4oq6pE91PfLj4nINSYjRCSbSqkIuC/0Szfv620cEfkeh2mIKKjVy1xSLDeOiHyPPSNEJItZEgE3RAMA8X3UHo0jIt9jMkJELhWUVGHVzlKbuRnJOi3yp2f4dfIqENh1UIhIHg7TEJFTBSVVWLi9uNsk0SpjGxZuL/b/slm5nTP+78QhIgeYjBCRQ2ZJYNXOUof78QbCstlALldPRPIwGSEih9xZNusvHKYhCn5MRojIIYOx1aNx3hDI5eqJSB4mI0Tk0BfHa2XF1TebvNwSxwK9XD0RucZkhIjsMksCe45Vy4qN76vxcmucC+Ry9UTkGpf2EpFdRRX1MLZ2yorVx/p/PkaglqsnIteYjBCRXTVN8sqnx0VHBsx8jEAsV09ErvVomGbjxo1IS0uDVqtFVlYWioqKZJ335ptvQqFQYMaMGT15WSLyIbmrT+ZOSmfvAxH1itvJyI4dO7BkyRLk5+ejuLgYo0aNQm5uLmpqapyeV1lZif/3//4fpkyZ0uPGEpHvuFqlAnT1iiy+8XKftYmIQpPbyciGDRswf/58zJ07FxkZGdi8eTOio6OxZcsWh+eYzWbcfffdWLVqFYYMGdKrBhORbzhbpWKx/s6R7BUhol5zKxkxmUw4dOgQcnJyfrqAUomcnBwUFhY6PG/16tVITEzEvHnzZL1Oe3s7GhsbbR5E5HuOVqkk67TYzFUqROQhbk1gra2thdlsRlJSks3xpKQkfPfdd3bP+fzzz/Haa6/hyJEjsl9n3bp1WLVqlTtNIyIvCcZVKoG6wzAR2efV1TRNTU2499578eqrryIhIUH2eXl5eViyZIn158bGRqSmpnqjiUQkQzCtUikoqcLKD0phaPxpNZA+VouVt/t/h2Eiss+tZCQhIQEqlQrV1baFkKqrq6HX67vFl5WVobKyEtOnT7cekySp64UjIvD9999j6NCh3c7TaDTQaPxbRImIgk9BSRUWbC/udtzQ2IYF24s5tEQUoNyaM6JWqzFu3Djs3bvXekySJOzduxfZ2dnd4keMGIGjR4/iyJEj1sftt9+OG264AUeOHGFvB1EQMEsChWV1eP/IGRSW1fl1h15nzJLAsnePOo3Je/dowLafKJy5PUyzZMkSzJkzB9dccw0mTJiA559/Hs3NzZg7dy4AYPbs2Rg4cCDWrVsHrVaLzMxMm/Pj4uIAoNtxIgo8wTTkcaC8Dg0tHU5jzrd04EB5HSZfLn/YmIi8z+1kZObMmTh37hxWrFgBg8GA0aNHo6CgwDqp9eTJk1AqueUNUbALtiGPwrI62XFMRogCS48msC5evBiLFy+2+9y+ffucnrtt27aevCQR+ZDcIY+bM/QBtEpF7vALh2mIAg27MIioG3eGPAJF9hB5vR1y44jId5iMEFE3Xxyv9WicL0wc2h9x0ZFOY+KiIzExSJYoE4UTJiNE1M3ZhlaPxvmCSqnAzGsucxoz85rLAmhYiYgsmIwQUTcD46I8GucLZkngg6+rnMZ88HUVl/YSBSAmI0TUzSSZq03kxvlCUUU9qoxtTmOqjG0oqqj3UYuISC4mI0TUzcQhrudf9IuOxMQhgTP/4uJaKJ6IIyLfYTJCRN3ImX+x7s6RATX/4pyLXhF344jId5iMEFE3BSVVeOWzCofPP3htekAVPAOAb6uMsuL2HDN4uSVE5C4mI0RkwywJrNpZ6rQ0WCBOBG3tkGTFfXOmMeDaThTumIwQkY1gnQg6Pi1eVlx7pxRwbScKd0xGiMhGTZO8ORVy43xlzqQ02bGB1naicMdkhIhsJMZoPRrnK+oIJaZfrZcVG2htJwp3TEaIyMaE9Hgk67RwtE5GASBZp8WEdHnDIr70/F1j0Uetcvh8ILedKJwxGSEiGyqlAvnTMwCgW0Ji+Tl/ekZALeu1UCkV+MN/jXL4vEDgtp0onDEZIaJupmYmY9M9Y6HX2Q5n6HVabLpnbMAt6yWi4Bbh7wYQUWCampmMmzP0KKqoR01TGxJjuoY3ArlXwbIs2Zm8d4/i5gx9QN8HUbhhMkJEDqmUCmQPDZyS767IWZZ8vqUDL378Ix7JucJHrSIiVzhMQ0QhQ+6S3a1fVLLwGVEAYTJCRCFD7pLdhtYOFj4jCiAcpiEiu8ySCKr5IkDXsuS4qEg0tHa4jGXhM6LAwWSEiLopKKnCqp2lNvMvknVa5E/PCOiVNCqlAnMnp+O5j35wGcvCZ0SBg8M0RGSjoKQKC7cXd5sIajC2YeH2YhSUVPmpZfIsvvFyRDspfAYAcdGRLHxGFECYjBCRlbMdey3HVu0sDfjJn+oI5x9tgT3YRBR+mIwQkZWrpbECgblj78WKKurR0OJ8zsj5Fk5gJQokTEaIyCpYd+y9WCjcA1G4YTJCRFbBumPvxRL6aDwaR0Tex2SEiKyCecdeK7kTQjhxhChgMBkhIqtg3rHXovZCu0fjiMj7mIwQkY1g37E3FIaaiMINi54RUTfBuGOvhWWoyeWGec3sGSEKFOwZISK7LDv23jF6ILKH9g+KRAToavfyaRku49bsOhbw9VKIwgWTESIKOf36qF3GBHq9FKJwwmSEiEIOa40QBRcmI0QUcjiJlSi4cAIrEdkwSyIoJ65ebNzgflAqAGdTQhT/jiMi/2MyQkRWBSVVWLWz1GYlSrJOi/zpGQG/pPdih06cd5qIAF377GzaV4ZHcob5pE1E5BiHaYgIQFcisnB7cbclsQZjGxZuL0ZBSZWfWuY+uXNBtu6v4IoaogDAZISIYJYEVu0shb2vZcuxVTtLg+aLW+5ckAbu3ksUEJiMEBGKKuqdFgkTCK6lsBPS4xEXFSkrlitqiPyPyQgRhdxSWJVSgbmT02TFckUNkf8xGSGikFwKu/D6y6FwsQhIqeCKGqJAwGSEiKz7uTj67laga1XNhPR4XzarVw6dOA/hYoqLJLriiMi/mIwQEVRKBfKnd+3ncmlCYvk5f3pGUNUbCbWhJ6JQxmSEiAB07dS76Z6x0Otsh2L0Oi023TM2qOqMAKE59EQUqlj0jIispmYm4+YMfdBXYAV+GnoyGNvsLllWoCvRCqahJ6JQxWSEiGyolApkD+3v72b0mmXoaeH2YiiAbgmJQPANPRGFKg7TEFHIsgw96aK71xzRRfFvMaJAwWSEiKxaTWYsf+8o7n3tIJa/dxStJrO/m+QRDS0d3Y4ZWzuxIMjK3BOFKoUQrha/+V9jYyN0Oh2MRiNiY2P93RyikDT/z19iT2lNt+M3ZyTi1dnj/dCi3jNLAuN+t8duMmIRFx2JQ0/ezOEaIi+Q+/3NnhEicpiIAMCe0hrM//OXPm6RZxwoq3OaiABdvSYHyup81CIisofJCFGYazWZHSYiFntKa4JyyKawvNajcUTkHUxGiMLc2t2lHo0LLHKHXjhEQ+RPTEaIwlxlXYtH4wKJ3CXKEfwkJPIr/goShblB8VEejQskE4f0R5ydZb2XevPLUzBLAT+XnyhkMRkhCnO3ZOg9GhdIVEoF5k5KdxlnaGxHUUW9D1pERPYwGSEKcw2tzlebuBsXaNISomXFccM8Iv/pUTKyceNGpKWlQavVIisrC0VFRQ5jX331VUyZMgX9+vVDv379kJOT4zSeiHyrsrZZVlywbigXH6X2aBwReZ7byciOHTuwZMkS5Ofno7i4GKNGjUJubi5qauwvDdy3bx9mzZqFTz75BIWFhUhNTcUtt9yCM2fO9LrxRNQ7Zkng5U/LXMYlB/GGcscMjR6NIyLPczsZ2bBhA+bPn4+5c+ciIyMDmzdvRnR0NLZs2WI3/i9/+QseeughjB49GiNGjMCf/vQnSJKEvXv39rrxRNQ7+4/XoqVDchn3y3GXBW2F0q9OyJsLIjeOiDzPrWTEZDLh0KFDyMnJ+ekCSiVycnJQWFgo6xotLS3o6OhAfLzjv7La29vR2Nho8yAiz3u3+LSsuFP1wbes1yIqUuXROCLyPLeSkdraWpjNZiQlJdkcT0pKgsFgkHWNpUuXIiUlxSahudS6deug0+msj9TUVHeaSUQyNcusqio3LhBdqZe3n5XcOCLyPJ+uplm/fj3efPNN/P3vf4dW63gyXF5eHoxGo/Vx6tQpH7aSKHyMT+vn0bhA1NTe6dE4IvK8CHeCExISoFKpUF1dbXO8uroaer3zGgTPPvss1q9fj48++ghXX32101iNRgONRuNO04ioB/Q614XMFADmyKjVEagUMqe6lNde8G5DiMght3pG1Go1xo0bZzP51DIZNTs72+F5Tz/9NNasWYOCggJcc801PW8tEXmMWRJYu/uYy7j7p6RBHcT10rOHJMiKO1hezyqsRH7i9ifMkiVL8Oqrr+L111/HsWPHsHDhQjQ3N2Pu3LkAgNmzZyMvL88a//vf/x7Lly/Hli1bkJaWBoPBAIPBgAsX+FcIkT8VVdSjyui60NeNI4Kv8urFJg7tj74a15NT61s6WIWVyE/cGqYBgJkzZ+LcuXNYsWIFDAYDRo8ejYKCAuuk1pMnT0Kp/CnH2bRpE0wmE/7zP//T5jr5+flYuXJl71pPRD0mt+JosFcmVSkV+OW4y7B1/wmXsQZjqw9aRESXcjsZAYDFixdj8eLFdp/bt2+fzc+VlZU9eQki8rKEPvLmZcmNC2SX9ZNXEr6+2eTllhCRPcE7EExEvSO3hllw1jqzEd9XXkIlN46IPIvJCFGYqr3Q7tG4QKaPlbevzsm64C3uRhTMmIwQhSm5G98F6wZ5F5uQHg99rOtejze/PMkVNUR+wGSEKEydlzE/Ipg3yLuYSqnArAmDXMZVGdu4oobID5iMEIUhsySwZlepy7jl064M2g3yLpWW0EdWXLCvHiIKRkxGiMKQ3Boj/UJgJY1FOA1LEQUbJiNEYShcaoxcbEJ6PJJ1WoeLgxQInWEpomDDZIQoDMVHqz0aFwxUSgXyp2cA6L5a2fJz/vSMkBmWIgomTEaIwtB7R87IivvO0OjllvjW1MxkbLpnLPQ626EYvU6LTfeMxdTMZD+1jCi89agCKxEFL7MksPObKlmxp86HXnn0qZnJuDlDj6KKetQ0tSExpmtohj0iRP7DnhGiMHOgvA6mTklW7OB4eWXUg41KqcCE9HgkxmhR09S1nJf1RYj8hz0jRGGmsKxOduy92Wnea4gfFZRUYdXOUpsVRck6LfKnZ3CohsgP2DNCFGaEkNcDMCY1FuqI0PuIKCipwsLtxd2WNhuMbVi4vRgFJfKGsIjIc0Lvk4aInIqLjpQVd9vIFC+3xPfMksCqnaWwl45Zjq3aWcohGyIfYzJCFGYSZBb1khsXTFwVexNgSXgif2AyQhRmTtY1y4qTu9NtMAnHYm9EwYDJCFEYMUsCbxSddBkXqpVIWRKeKDAxGSEKI0UV9TA0truMu2v8oJCsu2EpCe/Ka5+X+6A1RGTBZIQojPx/38pbKTIoPsrLLfEPlVKBvNwRLuM+OlaDVpPZBy0iIoDJCFHYMEsCb3x5SlZsfbPJy63xny9PypucumD7V15uCRFZMBkhChMHyurQ1iGv8mp8X42XW+M/lXUtsuIOlLMqK5GvMBkhChP7y2plx4biShqLtP7ySty3d0pc4kvkI0xGiMLEmQZ5m95pI5UhuZLG4onbMmTHcokvkW8wGSEKE3KTkZEDdSG5ksYiSq3CuMFxsmIra+XVZCGi3mEyQhQGzJLAt2eMsmLHp/Xzcmv8760HJ0EjY9+dN4pOct4IkQ8wGSEKA0UV9WiROXl18tABXm6N/6mUCjx0/eUu4wyN7Zw3QuQDTEaIwoDcuQ/RahUmDu3v5dYEhrQEeRNZOW+EyPuYjBCFAblzHx68dkhIzxe5GEvDEwUOJiNEIU7ufjT9oiOx+MZhPmhRYJBbGv58s+vy+UTUO0xGiEKc3P1o7puUHja9IkDXvJHl01wv812z6xgnsRJ5GZMRohBnaJQ352GQzGJgoaRfH7XLmCpjGyexEnkZkxGiELfjoOshGgCoDcOJmnInp+4pNXi5JUThjckIUQgzdUo4UCnvr/qGlg4vtybwyJ2c+teDrDdC5E1MRohC2P8VVsqOVSjCZ76IxYT0eMRFRbiMa+uUsP+4/L19iMg9TEaIQli5G+XMs8OkvsjFVEoFhiXFyIr9W/FpL7eGKHwxGSEKYTUyJ69GqhSYOCT8khEAEDKHX07Xt3i5JUThi8kIUQhLjNHIipuYHh9Wy3ovpomU9zF41ihvo0Eich+TEaIQNmRAX1lx1w9P9HJLAtfIy+JkxVUZ22HqlLe/DxG5h8kIUQhLjHW9WkSpAO7NTvN+YwLUlGHyNgYUcG9CMBHJx2SEKEQVlFTh4TcOu4ybPyUd6ojw/SiYOKQ/1Cp5Q1QnOG+EyCvC9xOIKISZJYHH3/raZdz8KWnIu811SfRQplIqcPuoFFmxH3x9xsutIQpPTEaIQtD+47VoNpldxl07LHznilxs7Z1Xy4praOmEMQyLwxF5G5MRohC0ameprLh3WTsDAKCOUCIpxvU+NQBwy3P7vNsYojDEZIQoxJg6JRw/d0FWrJzek3ChVMr7OKxuMmH3N2e93Bqi8MJkhCjEPPHuUdmx49P6ebElwSVFJ2+fGgD4n799w71qiDyIyQhRCCkoqcI7bgy9zJmU7sXWBJct902QHXuh3YwD5XVebA1ReGEyQhQizJLAEhkraCwmDokP6yW9l9JFRyJW63rTPIsn/y6/B4qInOMnEVGIeOTNw2hxYw7In3+d5cXWBKdNd4+THVtR14JWzrkh8ggmI0QhwNQp4R/fVMmOv2nEAPaK2DFxaH/0Uatkx9/4zF4vtoYofPDTiCgEzH7toFvx908Z6qWWBDeVUoFn/nOU7Piqpg78eluRF1tEFB6YjBAFuTUffIsDFfWy4/WxGkxIj/dii4LbbVcnIyVO/sqaj787h3lMSIh6hckIURCbu6UQr+2vdOuclbdfBZVS3l4s4WrdL0a6Fb/3u3PIf48TWol6iskIURAySwLjf7cHn/wgv0cEAF68azSmZiZ7qVWh42fDBkDm3nlWrx84iekv/Ms7DSIKcUxGiILMzq/PYugTu3Hugsmt834+Mhk/Hz3QS60KLSqlAhtmjnb7vKNnGnHDM5+wIBqRmxRCiID/rWlsbIROp4PRaERsbKy/m0PkU2ZJ4EB5HfYfr8U7xadR3dju9jU0EUqUrp7K4Rk33fiHT1B+rqVH50YqAU2kCrdm6rH6jpGIcmOVDlGokPv9HbbJiKlTwuv7K3GwvBaGxjZEKATqWzrR0NaBC61mSOjqNroquQ+SYqPRP1aN6oZWlJxtQrPJjMQYDcanxaGitgVmSUJjawfONLTDLAT6qFUYPagfUnRaNLZ24MhpI5rbOyFJEjSRSpg6JUgSoFAqMKCvGiazhPYOCZ0S0GmWAAWQEquBPi4a1Y1tOFHXjA6zgEqhQGSEAp1mCaZOQKkEIlUK9FFHwNTZifZOoOu7RqC9E4ACiNEoERulRnunGWYJ0GkjEBmhwlljK1razVApu4o9DR0Qg8lD++P4uWZcaO+EEBIggOZ2M8rrmtFiMiMqQoFB/aJQWt2Mtg4JAoBaAfTRKAGFEn21EWg3mdHeaUanBEhCABCIUkegryYCfdQqGFs7IQmBpvZOqBQKAAKJMVpkpMRiaGIM3j10EmeNXV+2sdpIRKoUqG4ywfI/aXQkoFQooFQqofj3/7qaCBVaO81oM0lQKIH+0ZFQKJQQEGho7URHpwRNhBJjBunQKQEGYxsEuv49DY3t6DBLiFAAcf8+r682AsMS+6LFZEZ5bTPOt5igFAJRmkhEKIGmtq57MJkFhCQg/bttkgCiIoDYKA2i1EpoVEp0CEAIAbVSibaOTlQ1tqOts6vdAkCkAuirVWFQfDSMrZ0QAGK0kUjtp0HJGSOqGk3otLxAL7z0qzG47eqU3l8ozJglgaFP7PbY9ZQA+mpUSEuIhjZCiRP1reiUJGhUKrR3Smjt6AQgoImIgEqhQIRKgfi+aqT1j8aJuhZcaOtEa4cZze2dMJkFFAC0kUrERavRv68asdoInKhvhSQAY4sJQgjERqkx65pByLxMh4OV9ThzvgUKKDAwPgqjUuLw4qc/4PuqCwAErkjsiz6aSFTWt6CvWoW+WhU6zIDZbEZzhwRjSwc6JYE+agWi1JHolATMkkB8dCR0UWqcOt+C5vZOmIWAJAmYBRCrjUDmwDhcPzwR/3egErVN7VCrFBgcH4VTDe0439IBBSRoIlXQx2qhjlDiVF0LjG1mCAAqRdfnWoRKAX2sBokxWjS2m9Hc1onWzk4ISaCtU0J0pAr9Y7RIi49GRf0F1F0wwdjSAbMERKmVuDIpBqoIFVo7zKg634LWDjMEBPpqItFHE4GEGDWUUKKtQ0JbRyc0EUpoIlUwtphQZWxDW6cZEArERkWgT6QSdS0daO8QUKkUUEcooACgABAZoUJ8HzViNCqcPt+GxvZOtHeYoYlQYEhCNDQRkSitMqK5o+v9i45UYkCsGuea2tFh7voMSY2LQpNJQmO7GUKSEBsVgfhoDdrNEoytHahvNqG9UyBSCcRFRSClXzRS46OhjlBi3/fn0NjaAYUAYrVKXDB1fVYBgCay6/tioE6DQQkxaG7rwHfVTWg1maGLVmP5bVfi+iuTPPpHC5MRJ9btLsUr/6pA4N85Ue/Nn5KO307L8HczgtY/jpzF4jcP+7sZRD6hVAAv3T3WY3PL5H5/92jOyMaNG5GWlgatVousrCwUFTlf1vb2229jxIgR0Gq1GDlyJHbv9txfGu5at7sUL3/GRITCw7xJaUxEeunno1OQc2Wiv5tB5BOSABZsL0ZBifwiip7gdjKyY8cOLFmyBPn5+SguLsaoUaOQm5uLmpoau/H79+/HrFmzMG/ePBw+fBgzZszAjBkzUFJS0uvGu8vUKeHVf1X4/HWJ/GHUwBgsv/0qfzcjJPxpznjcNGKAv5tB5DMr3ivx6URst4dpsrKyMH78eLz44osAAEmSkJqaiocffhjLli3rFj9z5kw0NzfjH//4h/XYxIkTMXr0aGzevNnua7S3t6O9/adJeo2NjUhNTe31MM1r/yrHml3Henw+UbBQKoAfn7qNE1Y9bOX7R7Gt8KS/m0HkE2/Mn4jsof17dQ2vDNOYTCYcOnQIOTk5P11AqUROTg4KCwvtnlNYWGgTDwC5ubkO4wFg3bp10Ol01kdqaqo7zXToRH3PZsUTBZuX7h7LRMQLVt4xkkM2FDZqmtp89lpuJSO1tbUwm81ISkqyOZ6UlASDwWD3HIPB4FY8AOTl5cFoNFofp06dcqeZDg2Oj/bIdYgClQLA5ns8N/mMuvvTnPGYPyXd380g8rrEGPnbIvRWQBY902g0iI2NtXl4wr3ZaeAfixSqbr0qCcfX3sZExAd+Oy0DP/zuVjxx6wjooiL83Rwij0vsq/bpHlZuJSMJCQlQqVSorq62OV5dXQ29Xm/3HL1e71a8N6kjlPyLhkKKSgHcOSYFP/zuVmy69xoOzfiQOkKJB64biq/zczF/SjoU/KenELJ6RqZPP0/cSkbUajXGjRuHvXv3Wo9JkoS9e/ciOzvb7jnZ2dk28QCwZ88eh/HelndbBh68lh8cFLyGJkRj0fVD8Zd5WfjhqduwYeYYqCMCspMzbPx2Wga+X3Mrlk+7EjOvuQwadze2IQoQSoV/hnrdXk2zY8cOzJkzBy+//DImTJiA559/Hm+99Ra+++47JCUlYfbs2Rg4cCDWrVsHoGtp73XXXYf169dj2rRpePPNN7F27VoUFxcjMzNT1muyAisrsIZrBdaapg5IEBjQR4t7sgfh/ilDmXgEiVaTGat2fouCkio0tnZaP1NYgZUVWFmBtbseVWB98cUX8cwzz8BgMGD06NH44x//iKysLADA9ddfj7S0NGzbts0a//bbb+PJJ59EZWUlhg0bhqeffhq33Xabx2+GiIiIAgfLwRMREZFfebUcPBEREZGnMBkhIiIiv2IyQkRERH7FZISIiIj8iskIERER+RWTESIiIvIrJiNERETkV0xGiIiIyK+CYrtJS122xsZGP7eEiIiI5LJ8b7uqrxoUyUhTUxMAIDU11c8tISIiInc1NTVBp9M5fD4oysFLkoSzZ88iJiYGCg9ut9vY2IjU1FScOnUqJMvMh/r9AaF/j6F+f0Do3yPvL/iF+j168/6EEGhqakJKSgqUSsczQ4KiZ0SpVOKyyy7z2vVjY2ND8n8wi1C/PyD07zHU7w8I/Xvk/QW/UL9Hb92fsx4RC05gJSIiIr9iMkJERER+FdbJiEajQX5+PjQajb+b4hWhfn9A6N9jqN8fEPr3yPsLfqF+j4Fwf0ExgZWIiIhCV1j3jBAREZH/MRkhIiIiv2IyQkRERH7FZISIiIj8iskIERER+VVIJyNPPfUUJk2ahOjoaMTFxdmNOXnyJKZNm4bo6GgkJibiv//7v9HZ2en0uvX19bj77rsRGxuLuLg4zJs3DxcuXPDCHbhn3759UCgUdh9ffvmlw/Ouv/76bvELFizwYcvlS0tL69bW9evXOz2nra0NixYtQv/+/dG3b1/8x3/8B6qrq33UYvdUVlZi3rx5SE9PR1RUFIYOHYr8/HyYTCan5wXye7hx40akpaVBq9UiKysLRUVFTuPffvttjBgxAlqtFiNHjsTu3bt91FL3rVu3DuPHj0dMTAwSExMxY8YMfP/9907P2bZtW7f3SqvV+qjF7lu5cmW39o4YMcLpOcH0Htr7TFEoFFi0aJHd+GB4/z777DNMnz4dKSkpUCgUeO+992yeF0JgxYoVSE5ORlRUFHJycvDjjz+6vK67v8vuCOlkxGQy4Ze//CUWLlxo93mz2Yxp06bBZDJh//79eP3117Ft2zasWLHC6XXvvvtufPvtt9izZw/+8Y9/4LPPPsMDDzzgjVtwy6RJk1BVVWXzuP/++5Geno5rrrnG6bnz58+3Oe/pp5/2Uavdt3r1apu2Pvzww07jH3vsMezcuRNvv/02Pv30U5w9exZ33nmnj1rrnu+++w6SJOHll1/Gt99+i+eeew6bN2/GE0884fLcQHwPd+zYgSVLliA/Px/FxcUYNWoUcnNzUVNTYzd+//79mDVrFubNm4fDhw9jxowZmDFjBkpKSnzccnk+/fRTLFq0CAcOHMCePXvQ0dGBW265Bc3NzU7Pi42NtXmvTpw44aMW98xVV11l097PP//cYWywvYdffvmlzb3t2bMHAPDLX/7S4TmB/v41Nzdj1KhR2Lhxo93nn376afzxj3/E5s2bcfDgQfTp0we5ubloa2tzeE13f5fdJsLA1q1bhU6n63Z89+7dQqlUCoPBYD22adMmERsbK9rb2+1eq7S0VAAQX375pfXYP//5T6FQKMSZM2c83vbeMJlMYsCAAWL16tVO46677jrxyCOP+KZRvTR48GDx3HPPyY5vaGgQkZGR4u2337YeO3bsmAAgCgsLvdBCz3v66adFenq605hAfQ8nTJggFi1aZP3ZbDaLlJQUsW7dOrvx//Vf/yWmTZtmcywrK0s8+OCDXm2np9TU1AgA4tNPP3UY4+jzKFDl5+eLUaNGyY4P9vfwkUceEUOHDhWSJNl9PtjePwDi73//u/VnSZKEXq8XzzzzjPVYQ0OD0Gg04o033nB4HXd/l90V0j0jrhQWFmLkyJFISkqyHsvNzUVjYyO+/fZbh+fExcXZ9DTk5ORAqVTi4MGDXm+zOz744APU1dVh7ty5LmP/8pe/ICEhAZmZmcjLy0NLS4sPWtgz69evR//+/TFmzBg888wzTofVDh06hI6ODuTk5FiPjRgxAoMGDUJhYaEvmttrRqMR8fHxLuMC7T00mUw4dOiQzb+9UqlETk6Ow3/7wsJCm3ig63cymN4rAC7frwsXLmDw4MFITU3FHXfc4fDzJlD8+OOPSElJwZAhQ3D33Xfj5MmTDmOD+T00mUzYvn07fv3rXzvdIT7Y3r+LVVRUwGAw2LxHOp0OWVlZDt+jnvwuuysodu31FoPBYJOIALD+bDAYHJ6TmJhocywiIgLx8fEOz/GX1157Dbm5uS53PP7Vr36FwYMHIyUlBd988w2WLl2K77//Hu+++66PWirfb37zG4wdOxbx8fHYv38/8vLyUFVVhQ0bNtiNNxgMUKvV3eYMJSUlBdz7Zc/x48fxwgsv4Nlnn3UaF4jvYW1tLcxms93fse+++87uOY5+J4PhvZIkCY8++igmT56MzMxMh3HDhw/Hli1bcPXVV8NoNOLZZ5/FpEmT8O2333p1d/KeysrKwrZt2zB8+HBUVVVh1apVmDJlCkpKShATE9MtPpjfw/feew8NDQ247777HMYE2/t3Kcv74M571JPfZXcFXTKybNky/P73v3cac+zYMZcTrIJJT+759OnT+PDDD/HWW2+5vP7F811GjhyJ5ORk3HTTTSgrK8PQoUN73nCZ3Lm/JUuWWI9dffXVUKvVePDBB7Fu3bqA3jeiJ+/hmTNnMHXqVPzyl7/E/PnznZ7r7/eQgEWLFqGkpMTpfAoAyM7ORnZ2tvXnSZMm4corr8TLL7+MNWvWeLuZbrv11lut/3311VcjKysLgwcPxltvvYV58+b5sWWe99prr+HWW29FSkqKw5hge/+CRdAlI48//rjTrBUAhgwZIutaer2+22xgyyoLvV7v8JxLJ+x0dnaivr7e4Tm91ZN73rp1K/r374/bb7/d7dfLysoC0PVXuS++yHrznmZlZaGzsxOVlZUYPnx4t+f1ej1MJhMaGhpsekeqq6u99n7Z4+49nj17FjfccAMmTZqEV155xe3X8/V7aE9CQgJUKlW3lUvO/u31er1b8YFi8eLF1sns7v51HBkZiTFjxuD48eNeap1nxcXF4YorrnDY3mB9D0+cOIGPPvrI7d7EYHv/LO9DdXU1kpOTrcerq6sxevRou+f05HfZbR6ZeRLgXE1gra6uth57+eWXRWxsrGhra7N7LcsE1q+++sp67MMPPwyoCaySJIn09HTx+OOP9+j8zz//XAAQX3/9tYdb5nnbt28XSqVS1NfX233eMoH1nXfesR777rvvAnoC6+nTp8WwYcPEXXfdJTo7O3t0jUB5DydMmCAWL15s/dlsNouBAwc6ncD685//3OZYdnZ2wE5+lCRJLFq0SKSkpIgffvihR9fo7OwUw4cPF4899piHW+cdTU1Nol+/fuJ///d/7T4fbO+hRX5+vtDr9aKjo8Ot8wL9/YODCazPPvus9ZjRaJQ1gdWd32W32+mRqwSoEydOiMOHD4tVq1aJvn37isOHD4vDhw+LpqYmIUTX/0SZmZnilltuEUeOHBEFBQViwIABIi8vz3qNgwcPiuHDh4vTp09bj02dOlWMGTNGHDx4UHz++edi2LBhYtasWT6/P0c++ugjAUAcO3as23OnT58Ww4cPFwcPHhRCCHH8+HGxevVq8dVXX4mKigrx/vvviyFDhohrr73W1812af/+/eK5554TR44cEWVlZWL79u1iwIABYvbs2daYS+9PCCEWLFggBg0aJD7++GPx1VdfiezsbJGdne2PW3Dp9OnT4vLLLxc33XSTOH36tKiqqrI+Lo4JlvfwzTffFBqNRmzbtk2UlpaKBx54QMTFxVlXsN17771i2bJl1vgvvvhCREREiGeffVYcO3ZM5Ofni8jISHH06FF/3YJTCxcuFDqdTuzbt8/mvWppabHGXHqPq1atEh9++KEoKysThw4dEnfddZfQarXi22+/9cctuPT444+Lffv2iYqKCvHFF1+InJwckZCQIGpqaoQQwf8eCtH1xTpo0CCxdOnSbs8F4/vX1NRk/b4DIDZs2CAOHz4sTpw4IYQQYv369SIuLk68//774ptvvhF33HGHSE9PF62trdZr3HjjjeKFF16w/uzqd7m3QjoZmTNnjgDQ7fHJJ59YYyorK8Wtt94qoqKiREJCgnj88cdtMuNPPvlEABAVFRXWY3V1dWLWrFmib9++IjY2VsydO9ea4ASCWbNmiUmTJtl9rqKiwubf4OTJk+Laa68V8fHxQqPRiMsvv1z893//tzAajT5ssTyHDh0SWVlZQqfTCa1WK6688kqxdu1am16sS+9PCCFaW1vFQw89JPr16yeio6PFL37xC5sv90CydetWu//PXtyJGWzv4QsvvCAGDRok1Gq1mDBhgjhw4ID1ueuuu07MmTPHJv6tt94SV1xxhVCr1eKqq64Su3bt8nGL5XP0Xm3dutUac+k9Pvroo9Z/j6SkJHHbbbeJ4uJi3zdeppkzZ4rk5GShVqvFwIEDxcyZM8Xx48etzwf7eyhEV+82APH99993ey4Y3z/L99alD8t9SJIkli9fLpKSkoRGoxE33XRTt3sfPHiwyM/Ptznm7He5txRCCOGZAR8iIiIi94V1nREiIiLyPyYjRERE5FdMRoiIiMivmIwQERGRXzEZISIiIr9iMkJERER+xWSEiIiI/IrJCBEREfkVkxEiIiLyKyYjRERE5FdMRoiIiMiv/n9xKx+uSW8xjQAAAABJRU5ErkJggg==", + "image/png": "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", "text/plain": [ "
" ] @@ -3509,7 +2869,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3525,13 +2885,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.97, -2.16)\": -0.0003, \"(-2.16, -1.98)\": 0.0101, \"(-1.98, -1.84)\": 0.022, \"(-1.84, -1.76)\": 0.0357, \"(-1.76, -1.66)\": 0.0474, \"(-1.66, -1.58)\": 0.0719, \"(-1.58, -1.53)\": 0.0849, \"(-1.53, -1.48)\": 0.1008, \"(-1.48, -1.45)\": 0.1136, \"(-1.45, -1.42)\": 0.1254, \"(-1.42, -1.38)\": 0.1378, \"(-1.38, -1.36)\": 0.152, \"(-1.36, -1.33)\": 0.1632, \"(-1.33, -1.28)\": 0.1764, \"(-1.28, -1.25)\": 0.1996, \"(-1.25, -1.19)\": 0.2172, \"(-1.19, -1.12)\": 0.2664, \"(-1.12, -1.06)\": 0.3084, \"(-1.06, -1.01)\": 0.3489, \"(-1.01, -0.96)\": 0.3671, \"(-0.96, -0.93)\": 0.4151, \"(-0.93, -0.9)\": 0.427, \"(-0.9, -0.87)\": 0.4621, \"(-0.87, -0.83)\": 0.4739, \"(-0.83, -0.78)\": 0.5263, \"(-0.78, -0.76)\": 0.5535, \"(-0.76, -0.73)\": 0.5709, \"(-0.73, -0.68)\": 0.5946, \"(-0.68, -0.62)\": 0.6504, \"(-0.62, -0.58)\": 0.7061, \"(-0.58, -0.57)\": 0.7207, \"(-0.57, -0.53)\": 0.7308, \"(-0.53, -0.49)\": 0.7719, \"(-0.49, -0.46)\": 0.7993, \"(-0.46, -0.44)\": 0.8154, \"(-0.44, -0.42)\": 0.8257, \"(-0.42, -0.39)\": 0.8406, \"(-0.39, -0.35)\": 0.8746, \"(-0.35, -0.32)\": 0.8868, \"(-0.32, -0.26)\": 0.9201, \"(-0.26, -0.23)\": 0.9387, \"(-0.23, -0.19)\": 0.9507, \"(-0.19, -0.11)\": 0.9755, \"(-0.11, 0.14)\": 0.9886, \"(0.14, 0.19)\": 0.9774, \"(0.19, 0.23)\": 0.9604, \"(0.23, 0.27)\": 0.9395, \"(0.27, 0.3)\": 0.9291, \"(0.3, 0.32)\": 0.9083, \"(0.32, 0.35)\": 0.8929, \"(0.35, 0.37)\": 0.8803, \"(0.37, 0.39)\": 0.8683, \"(0.39, 0.41)\": 0.8496, \"(0.41, 0.44)\": 0.8348, \"(0.44, 0.49)\": 0.8056, \"(0.49, 0.52)\": 0.7727, \"(0.52, 0.54)\": 0.7565, \"(0.54, 0.56)\": 0.7393, \"(0.56, 0.59)\": 0.7197, \"(0.59, 0.61)\": 0.6971, \"(0.61, 0.63)\": 0.6811, \"(0.63, 0.67)\": 0.656, \"(0.67, 0.7)\": 0.625, \"(0.7, 0.73)\": 0.6018, \"(0.73, 0.79)\": 0.571, \"(0.79, 0.83)\": 0.5127, \"(0.83, 0.84)\": 0.498, \"(0.84, 0.86)\": 0.4866, \"(0.86, 0.88)\": 0.4756, \"(0.88, 0.91)\": 0.4479, \"(0.91, 0.95)\": 0.432, \"(0.95, 0.99)\": 0.3882, \"(0.99, 1.02)\": 0.3662, \"(1.02, 1.04)\": 0.3542, \"(1.04, 1.08)\": 0.3302, \"(1.08, 1.09)\": 0.3086, \"(1.09, 1.11)\": 0.2978, \"(1.11, 1.13)\": 0.2839, \"(1.13, 1.16)\": 0.2714, \"(1.16, 1.19)\": 0.2542, \"(1.19, 1.23)\": 0.2335, \"(1.23, 1.26)\": 0.2153, \"(1.26, 1.28)\": 0.2039, \"(1.28, 1.29)\": 0.1938, \"(1.29, 1.33)\": 0.1837, \"(1.33, 1.38)\": 0.1638, \"(1.38, 1.43)\": 0.1391, \"(1.43, 1.49)\": 0.1222, \"(1.49, 1.54)\": 0.1023, \"(1.54, 1.6)\": 0.0885, \"(1.6, 1.64)\": 0.0766, \"(1.64, 1.69)\": 0.0655, \"(1.69, 1.77)\": 0.0533, \"(1.77, 1.85)\": 0.0423, \"(1.85, 1.96)\": 0.0318, \"(1.96, 2.13)\": 0.0212, \"(2.13, 2.83)\": 0.0103, \"(2.83, 9.99)\": 0.0003}\n", + "Means: {\"(-9.97, -9.8)\": 1.023, \"(-9.8, -9.54)\": 1.002, \"(-9.54, -9.48)\": 0.98, \"(-9.48, -9.46)\": 0.953, \"(-9.46, -9.43)\": 0.889, \"(-9.43, -9.4)\": -0.897, \"(-9.4, -9.23)\": -0.968, \"(-9.23, -8.85)\": -0.99, \"(-8.85, -6.78)\": -1.01, \"(-6.78, -6.55)\": -0.989, \"(-6.55, -6.36)\": -0.968, \"(-6.36, -6.32)\": -0.947, \"(-6.32, -6.29)\": -0.877, \"(-6.29, -6.26)\": 0.86, \"(-6.26, -6.23)\": 0.903, \"(-6.23, -6.09)\": 0.947, \"(-6.09, -5.78)\": 0.97, \"(-5.78, -4.76)\": 0.991, \"(-4.76, -3.95)\": 1.013, \"(-3.95, -3.38)\": 0.992, \"(-3.38, -3.16)\": 0.971, \"(-3.16, -3.13)\": 0.637, \"(-3.13, -3.1)\": -0.905, \"(-3.1, -2.7)\": -0.955, \"(-2.7, -2.27)\": -0.978, \"(-2.27, -0.45)\": -1.0, \"(-0.45, -0.13)\": -0.978, \"(-0.13, -0.03)\": -0.957, \"(-0.03, -0.02)\": -0.832, \"(-0.02, -0.0)\": -0.639, \"(-0.0, 0.01)\": 0.816, \"(0.01, 0.05)\": 0.882, \"(0.05, 0.08)\": 0.913, \"(0.08, 0.34)\": 0.949, \"(0.34, 0.8)\": 0.97, \"(0.8, 3.05)\": 0.993, \"(3.05, 3.12)\": 0.97, \"(3.12, 3.15)\": 0.648, \"(3.15, 3.16)\": -0.793, \"(3.16, 3.69)\": -0.972, \"(3.69, 5.94)\": -0.994, \"(5.94, 6.15)\": -0.973, \"(6.15, 6.26)\": -0.949, \"(6.26, 6.29)\": -0.807, \"(6.29, 6.31)\": 0.818, \"(6.31, 6.56)\": 0.949, \"(6.56, 6.82)\": 0.972, \"(6.82, 9.3)\": 0.994, \"(9.3, 9.38)\": 0.968, \"(9.38, 9.39)\": 0.871, \"(9.39, 9.41)\": 0.738, \"(9.41, 9.43)\": -0.845, \"(9.43, 9.67)\": -0.963, \"(9.67, 9.89)\": -0.986, \"(9.89, 9.99)\": -1.01}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3541,7 +2901,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3557,13 +2917,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.97, 3.27)\": 0.2, \"(3.27, 4.28)\": 10.0, \"(4.28, 4.89)\": 19.9, \"(4.89, 5.3)\": 30.0, \"(5.3, 5.61)\": 39.9, \"(5.61, 5.89)\": 50.0, \"(5.89, 6.12)\": 60.1, \"(6.12, 6.31)\": 70.8, \"(6.31, 6.52)\": 82.8, \"(6.52, 6.69)\": 94.0, \"(6.69, 6.83)\": 104.5, \"(6.83, 6.98)\": 115.5, \"(6.98, 7.08)\": 127.1, \"(7.08, 7.19)\": 137.3, \"(7.19, 7.32)\": 149.1, \"(7.32, 7.41)\": 160.2, \"(7.41, 7.5)\": 170.9, \"(7.5, 7.58)\": 182.2, \"(7.58, 7.66)\": 192.4, \"(7.66, 7.73)\": 203.5, \"(7.73, 7.79)\": 213.3, \"(7.79, 7.87)\": 223.7, \"(7.87, 7.95)\": 234.3, \"(7.95, 8.06)\": 255.8, \"(8.06, 8.12)\": 268.7, \"(8.12, 8.18)\": 280.7, \"(8.18, 8.23)\": 290.9, \"(8.23, 8.28)\": 301.1, \"(8.28, 8.33)\": 311.4, \"(8.33, 8.37)\": 323.2, \"(8.37, 8.43)\": 333.0, \"(8.43, 8.47)\": 347.0, \"(8.47, 8.52)\": 360.5, \"(8.52, 8.58)\": 373.9, \"(8.58, 8.65)\": 389.5, \"(8.65, 8.73)\": 415.6, \"(8.73, 8.76)\": 428.8, \"(8.76, 8.83)\": 438.9, \"(8.83, 8.88)\": 460.3, \"(8.88, 8.91)\": 470.6, \"(8.91, 8.95)\": 484.2, \"(8.95, 8.98)\": 497.9, \"(8.98, 9.03)\": 514.7, \"(9.03, 9.07)\": 530.5, \"(9.07, 9.12)\": 546.4, \"(9.12, 9.14)\": 558.5, \"(9.14, 9.18)\": 569.2, \"(9.18, 9.22)\": 582.5, \"(9.22, 9.24)\": 596.9, \"(9.24, 9.28)\": 611.6, \"(9.28, 9.3)\": 623.1, \"(9.3, 9.33)\": 636.5, \"(9.33, 9.37)\": 649.2, \"(9.37, 9.42)\": 672.2, \"(9.42, 9.45)\": 689.2, \"(9.45, 9.48)\": 705.5, \"(9.48, 9.51)\": 721.4, \"(9.51, 9.54)\": 734.3, \"(9.54, 9.57)\": 751.8, \"(9.57, 9.59)\": 761.6, \"(9.59, 9.63)\": 779.3, \"(9.63, 9.65)\": 793.6, \"(9.65, 9.69)\": 808.3, \"(9.69, 9.75)\": 852.2, \"(9.75, 9.78)\": 866.3, \"(9.78, 9.81)\": 889.7, \"(9.81, 9.83)\": 901.1, \"(9.83, 9.86)\": 911.4, \"(9.86, 9.89)\": 941.1, \"(9.89, 9.99)\": 976.5}\n", + "Means: {\"(-10.0, -8.6)\": -1.018, \"(-8.6, -8.0)\": -0.998, \"(-8.0, -7.93)\": -0.977, \"(-7.93, -7.9)\": -0.956, \"(-7.9, -7.89)\": -0.918, \"(-7.89, -7.85)\": -0.692, \"(-7.85, -7.8)\": 0.905, \"(-7.8, -7.71)\": 0.948, \"(-7.71, -7.62)\": 0.969, \"(-7.62, -6.42)\": 0.99, \"(-6.42, -5.31)\": 1.011, \"(-5.31, -4.77)\": 0.99, \"(-4.77, -4.73)\": 0.97, \"(-4.73, -4.72)\": 0.578, \"(-4.72, -4.71)\": -0.913, \"(-4.71, -4.61)\": -0.962, \"(-4.61, -3.77)\": -0.982, \"(-3.77, -1.82)\": -1.002, \"(-1.82, -1.62)\": -0.982, \"(-1.62, -1.59)\": -0.958, \"(-1.59, -1.57)\": -0.814, \"(-1.57, -1.56)\": 0.894, \"(-1.56, -1.35)\": 0.962, \"(-1.35, -0.29)\": 0.983, \"(-0.29, 1.28)\": 1.003, \"(1.28, 1.55)\": 0.982, \"(1.55, 1.57)\": 0.959, \"(1.57, 1.6)\": -0.652, \"(1.6, 1.62)\": -0.897, \"(1.62, 1.64)\": -0.933, \"(1.64, 1.96)\": -0.967, \"(1.96, 2.9)\": -0.987, \"(2.9, 4.3)\": -1.008, \"(4.3, 4.68)\": -0.987, \"(4.68, 4.7)\": -0.966, \"(4.7, 4.71)\": -0.903, \"(4.71, 4.74)\": 0.686, \"(4.74, 5.14)\": 0.966, \"(5.14, 5.81)\": 0.986, \"(5.81, 7.46)\": 1.007, \"(7.46, 7.68)\": 0.984, \"(7.68, 7.81)\": 0.959, \"(7.81, 7.85)\": 0.709, \"(7.85, 7.9)\": -0.833, \"(7.9, 7.99)\": -0.952, \"(7.99, 8.26)\": -0.972, \"(8.26, 9.98)\": -0.993, \"(9.98, 10.0)\": -1.017}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3573,7 +2933,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3589,13 +2949,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-10.0, 5.82)\": 16.0, \"(5.82, 6.4)\": 621.9, \"(6.4, 6.81)\": 1222.7, \"(6.81, 7.08)\": 1847.7, \"(7.08, 7.25)\": 2425.8, \"(7.25, 7.43)\": 3015.5, \"(7.43, 7.62)\": 3623.8, \"(7.62, 7.71)\": 4284.3, \"(7.71, 7.84)\": 4888.2, \"(7.84, 7.93)\": 5568.5, \"(7.93, 8.03)\": 6301.5, \"(8.03, 8.14)\": 6899.3, \"(8.14, 8.23)\": 7834.9, \"(8.23, 8.31)\": 8656.9, \"(8.31, 8.38)\": 9331.4, \"(8.38, 8.42)\": 9934.1, \"(8.42, 8.48)\": 10537.7, \"(8.48, 8.52)\": 11199.3, \"(8.52, 8.6)\": 11940.5, \"(8.6, 8.64)\": 12767.8, \"(8.64, 8.69)\": 13392.6, \"(8.69, 8.73)\": 14034.4, \"(8.73, 8.77)\": 14804.7, \"(8.77, 8.81)\": 15461.8, \"(8.81, 8.89)\": 16179.1, \"(8.89, 8.95)\": 18128.8, \"(8.95, 9.0)\": 19011.0, \"(9.0, 9.05)\": 20245.5, \"(9.05, 9.1)\": 21005.3, \"(9.1, 9.15)\": 22690.0, \"(9.15, 9.19)\": 23617.7, \"(9.19, 9.24)\": 24893.2, \"(9.24, 9.27)\": 25730.4, \"(9.27, 9.29)\": 26566.2, \"(9.29, 9.32)\": 27300.8, \"(9.32, 9.36)\": 28775.0, \"(9.36, 9.37)\": 29406.4, \"(9.37, 9.41)\": 30172.3, \"(9.41, 9.45)\": 31796.4, \"(9.45, 9.47)\": 32627.7, \"(9.47, 9.5)\": 33364.2, \"(9.5, 9.54)\": 34915.4, \"(9.54, 9.56)\": 35811.1, \"(9.56, 9.6)\": 37508.8, \"(9.6, 9.61)\": 38120.9, \"(9.61, 9.63)\": 38835.5, \"(9.63, 9.64)\": 39570.0, \"(9.64, 9.68)\": 40172.9, \"(9.68, 9.72)\": 42652.6, \"(9.72, 9.73)\": 43418.2, \"(9.73, 9.75)\": 44275.9, \"(9.75, 9.76)\": 45130.5, \"(9.76, 9.79)\": 45921.4, \"(9.79, 9.82)\": 47788.2, \"(9.82, 9.84)\": 49180.7, \"(9.84, 9.86)\": 49786.5, \"(9.86, 9.92)\": 51790.1, \"(9.92, 9.96)\": 55473.7, \"(9.96, 9.97)\": 56813.4, \"(9.97, 9.98)\": 57606.1}\n", + "Means: {\"(-9.94, -9.83)\": -0.36, \"(-9.83, -9.75)\": -0.322, \"(-9.75, -9.7)\": -0.286, \"(-9.7, -9.64)\": -0.249, \"(-9.64, -9.58)\": -0.192, \"(-9.58, -9.53)\": -0.137, \"(-9.53, -9.47)\": -0.094, \"(-9.47, -9.44)\": -0.037, \"(-9.44, -9.38)\": 0.009, \"(-9.38, -9.35)\": 0.049, \"(-9.35, -9.29)\": 0.092, \"(-9.29, -9.26)\": 0.136, \"(-9.26, -9.19)\": 0.177, \"(-9.19, -9.12)\": 0.226, \"(-9.12, -9.05)\": 0.282, \"(-9.05, -8.96)\": 0.318, \"(-8.96, -8.69)\": 0.36, \"(-8.69, -8.63)\": 0.324, \"(-8.63, -8.58)\": 0.271, \"(-8.58, -8.52)\": 0.225, \"(-8.52, -8.47)\": 0.158, \"(-8.47, -8.43)\": 0.103, \"(-8.43, -8.39)\": 0.046, \"(-8.39, -8.35)\": -0.005, \"(-8.35, -8.33)\": -0.055, \"(-8.33, -8.31)\": -0.093, \"(-8.31, -8.27)\": -0.132, \"(-8.27, -8.23)\": -0.21, \"(-8.23, -8.21)\": -0.263, \"(-8.21, -8.18)\": -0.309, \"(-8.18, -8.16)\": -0.345, \"(-8.16, -8.12)\": -0.416, \"(-8.12, -8.07)\": -0.5, \"(-8.07, -8.05)\": -0.559, \"(-8.05, -8.03)\": -0.601, \"(-8.03, -7.99)\": -0.666, \"(-7.99, -7.97)\": -0.745, \"(-7.97, -7.95)\": -0.787, \"(-7.95, -7.93)\": -0.825, \"(-7.93, -7.9)\": -0.869, \"(-7.9, -7.87)\": -0.918, \"(-7.87, -7.85)\": -0.979, \"(-7.85, -7.82)\": -1.022, \"(-7.82, -7.79)\": -1.102, \"(-7.79, -7.76)\": -1.144, \"(-7.76, -7.74)\": -1.205, \"(-7.74, -7.71)\": -1.245, \"(-7.71, -7.67)\": -1.289, \"(-7.67, -7.6)\": -1.402, \"(-7.6, -7.56)\": -1.478, \"(-7.56, -7.52)\": -1.525, \"(-7.52, -7.48)\": -1.573, \"(-7.48, -7.41)\": -1.648, \"(-7.41, -7.34)\": -1.688, \"(-7.34, -7.04)\": -1.734, \"(-7.04, -6.96)\": -1.643, \"(-6.96, -6.91)\": -1.575, \"(-6.91, -6.88)\": -1.519, \"(-6.88, -6.85)\": -1.483, \"(-6.85, -6.82)\": -1.443, \"(-6.82, -6.78)\": -1.372, \"(-6.78, -6.75)\": -1.304, \"(-6.75, -6.72)\": -1.249, \"(-6.72, -6.7)\": -1.175, \"(-6.7, -6.67)\": -1.125, \"(-6.67, -6.65)\": -1.057, \"(-6.65, -6.63)\": -1.009, \"(-6.63, -6.61)\": -0.953, \"(-6.61, -6.58)\": -0.899, \"(-6.58, -6.55)\": -0.829, \"(-6.55, -6.52)\": -0.741, \"(-6.52, -6.51)\": -0.689, \"(-6.51, -6.49)\": -0.638, \"(-6.49, -6.48)\": -0.592, \"(-6.48, -6.45)\": -0.548, \"(-6.45, -6.42)\": -0.461, \"(-6.42, -6.37)\": -0.333, \"(-6.37, -6.33)\": -0.181, \"(-6.33, -6.3)\": -0.1, \"(-6.3, -6.27)\": 0.008, \"(-6.27, -6.26)\": 0.047, \"(-6.26, -6.23)\": 0.114, \"(-6.23, -6.22)\": 0.168, \"(-6.22, -6.19)\": 0.217, \"(-6.19, -6.16)\": 0.356, \"(-6.16, -6.13)\": 0.392, \"(-6.13, -6.12)\": 0.47, \"(-6.12, -6.09)\": 0.523, \"(-6.09, -6.06)\": 0.583, \"(-6.06, -6.03)\": 0.669, \"(-6.03, -6.01)\": 0.771, \"(-6.01, -5.98)\": 0.826, \"(-5.98, -5.96)\": 0.9, \"(-5.96, -5.93)\": 0.937, \"(-5.93, -5.91)\": 0.998, \"(-5.91, -5.88)\": 1.045, \"(-5.88, -5.85)\": 1.149, \"(-5.85, -5.83)\": 1.195, \"(-5.83, -5.78)\": 1.269, \"(-5.78, -5.72)\": 1.368, \"(-5.72, -5.66)\": 1.491, \"(-5.66, -5.63)\": 1.549, \"(-5.63, -5.58)\": 1.593, \"(-5.58, -5.56)\": 1.639, \"(-5.56, -5.5)\": 1.675, \"(-5.5, -5.43)\": 1.711, \"(-5.43, -5.2)\": 1.747, \"(-5.2, -5.15)\": 1.704, \"(-5.15, -5.12)\": 1.666, \"(-5.12, -5.06)\": 1.628, \"(-5.06, -5.02)\": 1.567, \"(-5.02, -4.99)\": 1.51, \"(-4.99, -4.95)\": 1.465, \"(-4.95, -4.9)\": 1.422, \"(-4.9, -4.85)\": 1.299, \"(-4.85, -4.82)\": 1.254, \"(-4.82, -4.78)\": 1.182, \"(-4.78, -4.75)\": 1.123, \"(-4.75, -4.74)\": 1.082, \"(-4.74, -4.69)\": 1.016, \"(-4.69, -4.63)\": 0.894, \"(-4.63, -4.59)\": 0.799, \"(-4.59, -4.57)\": 0.751, \"(-4.57, -4.55)\": 0.701, \"(-4.55, -4.53)\": 0.661, \"(-4.53, -4.5)\": 0.596, \"(-4.5, -4.47)\": 0.531, \"(-4.47, -4.43)\": 0.474, \"(-4.43, -4.39)\": 0.388, \"(-4.39, -4.36)\": 0.35, \"(-4.36, -4.33)\": 0.257, \"(-4.33, -4.3)\": 0.217, \"(-4.3, -4.27)\": 0.163, \"(-4.27, -4.23)\": 0.112, \"(-4.23, -4.17)\": 0.017, \"(-4.17, -4.13)\": -0.033, \"(-4.13, -4.07)\": -0.127, \"(-4.07, -4.04)\": -0.163, \"(-4.04, -3.97)\": -0.204, \"(-3.97, -3.86)\": -0.287, \"(-3.86, -3.52)\": -0.352, \"(-3.52, -3.46)\": -0.315, \"(-3.46, -3.38)\": -0.256, \"(-3.38, -3.31)\": -0.192, \"(-3.31, -3.26)\": -0.157, \"(-3.26, -3.21)\": -0.106, \"(-3.21, -3.14)\": -0.037, \"(-3.14, -3.07)\": 0.039, \"(-3.07, -3.03)\": 0.082, \"(-3.03, -2.97)\": 0.119, \"(-2.97, -2.93)\": 0.181, \"(-2.93, -2.85)\": 0.217, \"(-2.85, -2.78)\": 0.275, \"(-2.78, -2.7)\": 0.311, \"(-2.7, -2.38)\": 0.348, \"(-2.38, -2.3)\": 0.295, \"(-2.3, -2.24)\": 0.218, \"(-2.24, -2.2)\": 0.182, \"(-2.2, -2.16)\": 0.127, \"(-2.16, -2.1)\": 0.05, \"(-2.1, -2.06)\": -0.022, \"(-2.06, -2.02)\": -0.081, \"(-2.02, -2.0)\": -0.117, \"(-2.0, -1.97)\": -0.163, \"(-1.97, -1.92)\": -0.233, \"(-1.92, -1.87)\": -0.334, \"(-1.87, -1.83)\": -0.413, \"(-1.83, -1.79)\": -0.518, \"(-1.79, -1.77)\": -0.572, \"(-1.77, -1.75)\": -0.613, \"(-1.75, -1.72)\": -0.653, \"(-1.72, -1.69)\": -0.72, \"(-1.69, -1.68)\": -0.762, \"(-1.68, -1.65)\": -0.801, \"(-1.65, -1.62)\": -0.871, \"(-1.62, -1.6)\": -0.921, \"(-1.6, -1.59)\": -0.964, \"(-1.59, -1.54)\": -1.001, \"(-1.54, -1.48)\": -1.136, \"(-1.48, -1.43)\": -1.211, \"(-1.43, -1.37)\": -1.327, \"(-1.37, -1.34)\": -1.394, \"(-1.34, -1.31)\": -1.435, \"(-1.31, -1.27)\": -1.476, \"(-1.27, -1.22)\": -1.53, \"(-1.22, -1.17)\": -1.607, \"(-1.17, -1.13)\": -1.647, \"(-1.13, -1.07)\": -1.69, \"(-1.07, -0.77)\": -1.733, \"(-0.77, -0.72)\": -1.674, \"(-0.72, -0.67)\": -1.623, \"(-0.67, -0.63)\": -1.578, \"(-0.63, -0.58)\": -1.516, \"(-0.58, -0.54)\": -1.431, \"(-0.54, -0.51)\": -1.372, \"(-0.51, -0.48)\": -1.325, \"(-0.48, -0.44)\": -1.23, \"(-0.44, -0.41)\": -1.178, \"(-0.41, -0.39)\": -1.117, \"(-0.39, -0.37)\": -1.051, \"(-0.37, -0.35)\": -1.005, \"(-0.35, -0.31)\": -0.951, \"(-0.31, -0.25)\": -0.8, \"(-0.25, -0.21)\": -0.657, \"(-0.21, -0.2)\": -0.607, \"(-0.2, -0.16)\": -0.545, \"(-0.16, -0.12)\": -0.396, \"(-0.12, -0.11)\": -0.335, \"(-0.11, -0.08)\": -0.299, \"(-0.08, -0.05)\": -0.2, \"(-0.05, -0.03)\": -0.139, \"(-0.03, -0.02)\": -0.092, \"(-0.02, -0.01)\": -0.057, \"(-0.01, 0.01)\": -0.021, \"(0.01, 0.04)\": 0.038, \"(0.04, 0.07)\": 0.17, \"(0.07, 0.1)\": 0.253, \"(0.1, 0.11)\": 0.32, \"(0.11, 0.14)\": 0.362, \"(0.14, 0.17)\": 0.461, \"(0.17, 0.19)\": 0.507, \"(0.19, 0.21)\": 0.587, \"(0.21, 0.24)\": 0.65, \"(0.24, 0.27)\": 0.736, \"(0.27, 0.3)\": 0.819, \"(0.3, 0.32)\": 0.868, \"(0.32, 0.36)\": 0.965, \"(0.36, 0.39)\": 1.054, \"(0.39, 0.43)\": 1.122, \"(0.43, 0.46)\": 1.207, \"(0.46, 0.51)\": 1.272, \"(0.51, 0.58)\": 1.378, \"(0.58, 0.65)\": 1.52, \"(0.65, 0.7)\": 1.594, \"(0.7, 0.73)\": 1.642, \"(0.73, 0.8)\": 1.684, \"(0.8, 1.09)\": 1.739, \"(1.09, 1.14)\": 1.703, \"(1.14, 1.21)\": 1.654, \"(1.21, 1.26)\": 1.565, \"(1.26, 1.33)\": 1.494, \"(1.33, 1.37)\": 1.424, \"(1.37, 1.42)\": 1.326, \"(1.42, 1.45)\": 1.262, \"(1.45, 1.49)\": 1.197, \"(1.49, 1.5)\": 1.157, \"(1.5, 1.55)\": 1.107, \"(1.55, 1.59)\": 0.988, \"(1.59, 1.62)\": 0.933, \"(1.62, 1.65)\": 0.873, \"(1.65, 1.68)\": 0.787, \"(1.68, 1.71)\": 0.751, \"(1.71, 1.73)\": 0.709, \"(1.73, 1.76)\": 0.649, \"(1.76, 1.78)\": 0.597, \"(1.78, 1.83)\": 0.542, \"(1.83, 1.89)\": 0.384, \"(1.89, 1.91)\": 0.338, \"(1.91, 1.96)\": 0.281, \"(1.96, 1.99)\": 0.195, \"(1.99, 2.01)\": 0.156, \"(2.01, 2.03)\": 0.114, \"(2.03, 2.07)\": 0.069, \"(2.07, 2.12)\": 0.006, \"(2.12, 2.19)\": -0.068, \"(2.19, 2.24)\": -0.156, \"(2.24, 2.28)\": -0.195, \"(2.28, 2.34)\": -0.232, \"(2.34, 2.44)\": -0.289, \"(2.44, 2.76)\": -0.351, \"(2.76, 2.82)\": -0.316, \"(2.82, 2.88)\": -0.278, \"(2.88, 2.93)\": -0.238, \"(2.93, 2.98)\": -0.193, \"(2.98, 3.03)\": -0.151, \"(3.03, 3.09)\": -0.098, \"(3.09, 3.16)\": -0.022, \"(3.16, 3.23)\": 0.036, \"(3.23, 3.3)\": 0.117, \"(3.3, 3.38)\": 0.191, \"(3.38, 3.43)\": 0.229, \"(3.43, 3.49)\": 0.27, \"(3.49, 3.6)\": 0.31, \"(3.6, 3.86)\": 0.361, \"(3.86, 3.93)\": 0.323, \"(3.93, 4.01)\": 0.28, \"(4.01, 4.05)\": 0.203, \"(4.05, 4.11)\": 0.161, \"(4.11, 4.19)\": 0.037, \"(4.19, 4.23)\": -0.022, \"(4.23, 4.25)\": -0.075, \"(4.25, 4.29)\": -0.117, \"(4.29, 4.34)\": -0.208, \"(4.34, 4.39)\": -0.299, \"(4.39, 4.41)\": -0.365, \"(4.41, 4.44)\": -0.404, \"(4.44, 4.48)\": -0.467, \"(4.48, 4.53)\": -0.553, \"(4.53, 4.57)\": -0.689, \"(4.57, 4.59)\": -0.725, \"(4.59, 4.62)\": -0.762, \"(4.62, 4.65)\": -0.85, \"(4.65, 4.68)\": -0.892, \"(4.68, 4.71)\": -0.945, \"(4.71, 4.75)\": -1.045, \"(4.75, 4.78)\": -1.092, \"(4.78, 4.81)\": -1.15, \"(4.81, 4.85)\": -1.216, \"(4.85, 4.89)\": -1.304, \"(4.89, 4.95)\": -1.372, \"(4.95, 5.0)\": -1.464, \"(5.0, 5.05)\": -1.515, \"(5.05, 5.12)\": -1.608, \"(5.12, 5.16)\": -1.649, \"(5.16, 5.21)\": -1.686, \"(5.21, 5.32)\": -1.722, \"(5.32, 5.48)\": -1.759, \"(5.48, 5.53)\": -1.715, \"(5.53, 5.62)\": -1.658, \"(5.62, 5.7)\": -1.513, \"(5.7, 5.74)\": -1.445, \"(5.74, 5.78)\": -1.35, \"(5.78, 5.82)\": -1.297, \"(5.82, 5.84)\": -1.208, \"(5.84, 5.89)\": -1.17, \"(5.89, 5.98)\": -0.975, \"(5.98, 6.02)\": -0.785, \"(6.02, 6.04)\": -0.747, \"(6.04, 6.09)\": -0.686, \"(6.09, 6.19)\": -0.4, \"(6.19, 6.23)\": -0.204, \"(6.23, 6.26)\": -0.146, \"(6.26, 6.3)\": -0.005, \"(6.3, 6.32)\": 0.068, \"(6.32, 6.33)\": 0.119, \"(6.33, 6.35)\": 0.185, \"(6.35, 6.37)\": 0.22, \"(6.37, 6.39)\": 0.287, \"(6.39, 6.42)\": 0.369, \"(6.42, 6.46)\": 0.464, \"(6.46, 6.49)\": 0.533, \"(6.49, 6.53)\": 0.674, \"(6.53, 6.56)\": 0.749, \"(6.56, 6.61)\": 0.848, \"(6.61, 6.65)\": 0.967, \"(6.65, 6.67)\": 1.048, \"(6.67, 6.69)\": 1.106, \"(6.69, 6.75)\": 1.185, \"(6.75, 6.8)\": 1.329, \"(6.8, 6.82)\": 1.366, \"(6.82, 6.85)\": 1.405, \"(6.85, 6.89)\": 1.47, \"(6.89, 6.93)\": 1.54, \"(6.93, 6.96)\": 1.58, \"(6.96, 7.03)\": 1.627, \"(7.03, 7.09)\": 1.691, \"(7.09, 7.4)\": 1.729, \"(7.4, 7.47)\": 1.678, \"(7.47, 7.53)\": 1.594, \"(7.53, 7.58)\": 1.534, \"(7.58, 7.61)\": 1.474, \"(7.61, 7.63)\": 1.431, \"(7.63, 7.65)\": 1.392, \"(7.65, 7.68)\": 1.352, \"(7.68, 7.73)\": 1.296, \"(7.73, 7.78)\": 1.178, \"(7.78, 7.82)\": 1.131, \"(7.82, 7.87)\": 1.009, \"(7.87, 7.9)\": 0.952, \"(7.9, 7.93)\": 0.869, \"(7.93, 7.96)\": 0.816, \"(7.96, 8.01)\": 0.75, \"(8.01, 8.05)\": 0.641, \"(8.05, 8.07)\": 0.603, \"(8.07, 8.1)\": 0.535, \"(8.1, 8.15)\": 0.493, \"(8.15, 8.21)\": 0.324, \"(8.21, 8.24)\": 0.279, \"(8.24, 8.26)\": 0.225, \"(8.26, 8.3)\": 0.189, \"(8.3, 8.34)\": 0.103, \"(8.34, 8.36)\": 0.062, \"(8.36, 8.4)\": -0.001, \"(8.4, 8.44)\": -0.056, \"(8.44, 8.52)\": -0.138, \"(8.52, 8.57)\": -0.189, \"(8.57, 8.62)\": -0.242, \"(8.62, 8.66)\": -0.282, \"(8.66, 8.77)\": -0.321, \"(8.77, 9.04)\": -0.359, \"(9.04, 9.11)\": -0.316, \"(9.11, 9.15)\": -0.27, \"(9.15, 9.23)\": -0.228, \"(9.23, 9.31)\": -0.161, \"(9.31, 9.37)\": -0.092, \"(9.37, 9.4)\": -0.048, \"(9.4, 9.45)\": -0.013, \"(9.45, 9.51)\": 0.035, \"(9.51, 9.58)\": 0.108, \"(9.58, 9.66)\": 0.172, \"(9.66, 9.73)\": 0.243, \"(9.73, 9.79)\": 0.284, \"(9.79, 9.91)\": 0.328, \"(9.91, 9.97)\": 0.363}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3605,7 +2965,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3621,13 +2981,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.99, 3.32)\": 0.01, \"(3.32, 4.34)\": 0.32, \"(4.34, 4.91)\": 0.64, \"(4.91, 5.34)\": 0.96, \"(5.34, 5.68)\": 1.3, \"(5.68, 5.96)\": 1.61, \"(5.96, 6.17)\": 1.93, \"(6.17, 6.36)\": 2.25, \"(6.36, 6.54)\": 2.59, \"(6.54, 6.69)\": 2.94, \"(6.69, 6.84)\": 3.26, \"(6.84, 6.96)\": 3.61, \"(6.96, 7.08)\": 3.94, \"(7.08, 7.2)\": 4.25, \"(7.2, 7.3)\": 4.63, \"(7.3, 7.4)\": 4.94, \"(7.4, 7.48)\": 5.26, \"(7.48, 7.56)\": 5.61, \"(7.56, 7.65)\": 5.96, \"(7.65, 7.73)\": 6.32, \"(7.73, 7.8)\": 6.66, \"(7.8, 7.87)\": 7.0, \"(7.87, 7.95)\": 7.35, \"(7.95, 8.04)\": 7.89, \"(8.04, 8.1)\": 8.24, \"(8.1, 8.16)\": 8.61, \"(8.16, 8.21)\": 8.97, \"(8.21, 8.27)\": 9.45, \"(8.27, 8.33)\": 9.77, \"(8.33, 8.39)\": 10.12, \"(8.39, 8.45)\": 10.5, \"(8.45, 8.54)\": 11.23, \"(8.54, 8.58)\": 11.65, \"(8.58, 8.62)\": 12.09, \"(8.62, 8.68)\": 12.43, \"(8.68, 8.73)\": 12.95, \"(8.73, 8.78)\": 13.37, \"(8.78, 8.86)\": 13.89, \"(8.86, 8.94)\": 14.92, \"(8.94, 8.98)\": 15.34, \"(8.98, 9.03)\": 15.91, \"(9.03, 9.06)\": 16.49, \"(9.06, 9.12)\": 16.95, \"(9.12, 9.18)\": 17.91, \"(9.18, 9.21)\": 18.27, \"(9.21, 9.24)\": 18.68, \"(9.24, 9.28)\": 19.22, \"(9.28, 9.34)\": 19.92, \"(9.34, 9.37)\": 20.54, \"(9.37, 9.41)\": 20.92, \"(9.41, 9.45)\": 21.51, \"(9.45, 9.48)\": 22.04, \"(9.48, 9.51)\": 22.41, \"(9.51, 9.54)\": 22.96, \"(9.54, 9.57)\": 23.37, \"(9.57, 9.59)\": 23.88, \"(9.59, 9.63)\": 24.45, \"(9.63, 9.65)\": 24.85, \"(9.65, 9.69)\": 25.21, \"(9.69, 9.72)\": 26.18, \"(9.72, 9.78)\": 26.65, \"(9.78, 9.83)\": 28.13, \"(9.83, 9.85)\": 28.46, \"(9.85, 9.9)\": 29.34, \"(9.9, 9.94)\": 30.32, \"(9.94, 9.98)\": 30.89}\n", + "Means: {\"(-9.99, -9.97)\": 6104.5, \"(-9.97, -9.93)\": 6007.9, \"(-9.93, -9.88)\": 5921.3, \"(-9.88, -9.83)\": 5827.6, \"(-9.83, -9.78)\": 5678.9, \"(-9.78, -9.73)\": 5535.0, \"(-9.73, -9.67)\": 5427.1, \"(-9.67, -9.63)\": 5335.7, \"(-9.63, -9.59)\": 5229.9, \"(-9.59, -9.53)\": 5125.3, \"(-9.53, -9.49)\": 5024.0, \"(-9.49, -9.46)\": 4944.5, \"(-9.46, -9.41)\": 4862.1, \"(-9.41, -9.36)\": 4768.2, \"(-9.36, -9.3)\": 4635.8, \"(-9.3, -9.24)\": 4521.1, \"(-9.24, -9.17)\": 4398.8, \"(-9.17, -9.13)\": 4311.9, \"(-9.13, -9.09)\": 4223.6, \"(-9.09, -9.04)\": 4138.0, \"(-9.04, -9.01)\": 4055.5, \"(-9.01, -8.95)\": 3971.1, \"(-8.95, -8.9)\": 3885.3, \"(-8.9, -8.84)\": 3778.7, \"(-8.84, -8.78)\": 3690.5, \"(-8.78, -8.72)\": 3572.9, \"(-8.72, -8.67)\": 3466.6, \"(-8.67, -8.6)\": 3385.1, \"(-8.6, -8.53)\": 3290.3, \"(-8.53, -8.48)\": 3202.0, \"(-8.48, -8.43)\": 3122.9, \"(-8.43, -8.37)\": 3040.9, \"(-8.37, -8.29)\": 2949.2, \"(-8.29, -8.21)\": 2814.2, \"(-8.21, -8.14)\": 2727.3, \"(-8.14, -8.08)\": 2635.6, \"(-8.08, -8.03)\": 2557.8, \"(-8.03, -7.95)\": 2473.0, \"(-7.95, -7.88)\": 2386.9, \"(-7.88, -7.82)\": 2292.1, \"(-7.82, -7.71)\": 2188.1, \"(-7.71, -7.63)\": 2109.8, \"(-7.63, -7.56)\": 2016.7, \"(-7.56, -7.48)\": 1937.0, \"(-7.48, -7.39)\": 1841.3, \"(-7.39, -7.3)\": 1757.9, \"(-7.3, -7.22)\": 1677.9, \"(-7.22, -7.14)\": 1597.3, \"(-7.14, -7.04)\": 1506.4, \"(-7.04, -6.94)\": 1429.4, \"(-6.94, -6.85)\": 1347.1, \"(-6.85, -6.74)\": 1264.2, \"(-6.74, -6.61)\": 1176.5, \"(-6.61, -6.49)\": 1092.9, \"(-6.49, -6.34)\": 1003.2, \"(-6.34, -6.24)\": 920.9, \"(-6.24, -6.06)\": 824.5, \"(-6.06, -5.86)\": 732.1, \"(-5.86, -5.7)\": 654.8, \"(-5.7, -5.47)\": 573.8, \"(-5.47, -5.27)\": 491.6, \"(-5.27, -4.99)\": 404.9, \"(-4.99, -4.65)\": 316.4, \"(-4.65, -4.24)\": 233.2, \"(-4.24, -3.64)\": 156.6, \"(-3.64, -1.2)\": 76.2, \"(-1.2, 0.56)\": -0.1, \"(0.56, 1.24)\": -76.6, \"(1.24, 1.81)\": -154.5, \"(1.81, 2.24)\": -232.1, \"(2.24, 2.64)\": -310.3, \"(2.64, 3.02)\": -388.7, \"(3.02, 3.37)\": -470.7, \"(3.37, 3.7)\": -551.4, \"(3.7, 4.0)\": -634.6, \"(4.0, 4.31)\": -716.3, \"(4.31, 4.59)\": -796.6, \"(4.59, 4.9)\": -873.2, \"(4.9, 5.17)\": -953.7, \"(5.17, 5.51)\": -1038.2, \"(5.51, 5.81)\": -1116.8, \"(5.81, 6.14)\": -1194.3, \"(6.14, 6.54)\": -1276.7, \"(6.54, 7.0)\": -1356.0, \"(7.0, 9.12)\": -1436.6, \"(9.12, 9.38)\": -1358.4, \"(9.38, 9.58)\": -1276.9, \"(9.58, 9.77)\": -1195.7, \"(9.77, 9.94)\": -1115.2, \"(9.94, 9.98)\": -1021.5}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3637,7 +2997,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3653,13 +3013,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.97, -9.95)\": -3.425, \"(-9.95, -9.94)\": -2.832, \"(-9.94, -9.89)\": -2.687, \"(-9.89, -9.84)\": -1.935, \"(-9.84, -9.83)\": -1.798, \"(-9.83, -9.81)\": -1.724, \"(-9.81, -9.79)\": -1.599, \"(-9.79, -9.78)\": -1.522, \"(-9.78, -9.76)\": -1.446, \"(-9.76, -9.72)\": -1.366, \"(-9.72, -9.68)\": -1.174, \"(-9.68, -9.65)\": -1.106, \"(-9.65, -9.63)\": -1.04, \"(-9.63, -9.6)\": -0.974, \"(-9.6, -9.57)\": -0.896, \"(-9.57, -9.55)\": -0.827, \"(-9.55, -9.49)\": -0.759, \"(-9.49, -9.42)\": -0.599, \"(-9.42, -9.38)\": -0.515, \"(-9.38, -9.3)\": -0.43, \"(-9.3, -9.24)\": -0.346, \"(-9.24, -9.19)\": -0.269, \"(-9.19, -9.09)\": -0.171, \"(-9.09, -9.02)\": -0.078, \"(-9.02, -8.92)\": -0.007, \"(-8.92, -8.83)\": 0.098, \"(-8.83, -8.74)\": 0.165, \"(-8.74, -8.64)\": 0.242, \"(-8.64, -8.55)\": 0.318, \"(-8.55, -8.43)\": 0.389, \"(-8.43, -8.31)\": 0.459, \"(-8.31, -8.19)\": 0.54, \"(-8.19, -8.04)\": 0.606, \"(-8.04, -7.87)\": 0.686, \"(-7.87, -7.71)\": 0.765, \"(-7.71, -7.54)\": 0.833, \"(-7.54, -7.38)\": 0.902, \"(-7.38, -7.2)\": 0.977, \"(-7.2, -6.98)\": 1.045, \"(-6.98, -6.77)\": 1.11, \"(-6.77, -6.54)\": 1.183, \"(-6.54, -6.28)\": 1.247, \"(-6.28, -6.05)\": 1.315, \"(-6.05, -5.75)\": 1.379, \"(-5.75, -5.48)\": 1.447, \"(-5.48, -5.16)\": 1.512, \"(-5.16, -4.82)\": 1.579, \"(-4.82, -4.46)\": 1.648, \"(-4.46, -4.1)\": 1.713, \"(-4.1, -3.7)\": 1.78, \"(-3.7, -3.25)\": 1.844, \"(-3.25, -2.77)\": 1.91, \"(-2.77, -2.31)\": 1.978, \"(-2.31, -1.75)\": 2.043, \"(-1.75, -1.19)\": 2.108, \"(-1.19, -0.6)\": 2.176, \"(-0.6, 0.08)\": 2.241, \"(0.08, 0.73)\": 2.308, \"(0.73, 1.48)\": 2.374, \"(1.48, 2.26)\": 2.439, \"(2.26, 3.05)\": 2.505, \"(3.05, 3.92)\": 2.569, \"(3.92, 4.89)\": 2.634, \"(4.89, 5.95)\": 2.701, \"(5.95, 7.02)\": 2.767, \"(7.02, 8.16)\": 2.832, \"(8.16, 9.38)\": 2.897, \"(9.38, 9.98)\": 2.962}\n", + "Means: {\"(-9.98, -9.92)\": -5507.9, \"(-9.92, -9.85)\": -5293.4, \"(-9.85, -9.81)\": -5177.9, \"(-9.81, -9.76)\": -5098.0, \"(-9.76, -9.71)\": -4999.9, \"(-9.71, -9.65)\": -4874.7, \"(-9.65, -9.61)\": -4764.6, \"(-9.61, -9.57)\": -4672.9, \"(-9.57, -9.52)\": -4598.0, \"(-9.52, -9.47)\": -4482.5, \"(-9.47, -9.43)\": -4384.3, \"(-9.43, -9.38)\": -4303.4, \"(-9.38, -9.34)\": -4219.4, \"(-9.34, -9.28)\": -4097.4, \"(-9.28, -9.22)\": -4016.0, \"(-9.22, -9.17)\": -3903.1, \"(-9.17, -9.11)\": -3794.3, \"(-9.11, -9.05)\": -3697.8, \"(-9.05, -8.98)\": -3584.8, \"(-8.98, -8.93)\": -3480.1, \"(-8.93, -8.86)\": -3402.0, \"(-8.86, -8.8)\": -3283.9, \"(-8.8, -8.75)\": -3193.9, \"(-8.75, -8.69)\": -3102.0, \"(-8.69, -8.63)\": -3024.1, \"(-8.63, -8.57)\": -2940.6, \"(-8.57, -8.51)\": -2845.5, \"(-8.51, -8.47)\": -2770.0, \"(-8.47, -8.42)\": -2689.2, \"(-8.42, -8.28)\": -2580.3, \"(-8.28, -8.18)\": -2397.9, \"(-8.18, -8.1)\": -2303.3, \"(-8.1, -8.02)\": -2203.3, \"(-8.02, -7.93)\": -2085.9, \"(-7.93, -7.85)\": -2005.0, \"(-7.85, -7.77)\": -1929.9, \"(-7.77, -7.68)\": -1844.4, \"(-7.68, -7.58)\": -1714.5, \"(-7.58, -7.5)\": -1636.8, \"(-7.5, -7.38)\": -1556.3, \"(-7.38, -7.27)\": -1416.3, \"(-7.27, -7.16)\": -1338.4, \"(-7.16, -7.07)\": -1260.9, \"(-7.07, -6.99)\": -1184.5, \"(-6.99, -6.84)\": -1103.4, \"(-6.84, -6.71)\": -1003.1, \"(-6.71, -6.56)\": -922.2, \"(-6.56, -6.41)\": -816.2, \"(-6.41, -6.27)\": -740.9, \"(-6.27, -6.13)\": -664.3, \"(-6.13, -5.95)\": -589.0, \"(-5.95, -5.78)\": -513.4, \"(-5.78, -5.53)\": -435.8, \"(-5.53, -5.26)\": -340.0, \"(-5.26, -4.95)\": -265.1, \"(-4.95, -4.59)\": -184.9, \"(-4.59, -3.94)\": -110.0, \"(-3.94, -0.04)\": -33.3, \"(-0.04, 0.86)\": 41.7, \"(0.86, 1.4)\": 116.7, \"(1.4, 1.85)\": 191.8, \"(1.85, 2.23)\": 269.3, \"(2.23, 2.56)\": 344.9, \"(2.56, 2.88)\": 422.1, \"(2.88, 3.18)\": 504.8, \"(3.18, 3.45)\": 580.1, \"(3.45, 3.71)\": 658.3, \"(3.71, 3.96)\": 739.7, \"(3.96, 4.22)\": 814.7, \"(4.22, 4.43)\": 891.1, \"(4.43, 4.69)\": 969.6, \"(4.69, 4.9)\": 1050.8, \"(4.9, 5.14)\": 1125.5, \"(5.14, 5.4)\": 1202.4, \"(5.4, 5.62)\": 1288.8, \"(5.62, 5.87)\": 1364.8, \"(5.87, 6.13)\": 1444.7, \"(6.13, 6.41)\": 1525.7, \"(6.41, 6.71)\": 1609.8, \"(6.71, 7.01)\": 1689.6, \"(7.01, 7.38)\": 1764.4, \"(7.38, 7.86)\": 1841.7, \"(7.86, 9.44)\": 1916.9, \"(9.44, 9.71)\": 1826.9, \"(9.71, 9.92)\": 1751.2}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3669,7 +3029,7 @@ }, { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi8AAAHHCAYAAAB3K7g2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAvM0lEQVR4nO3de1hVVf7H8c9BuYYH71wKEdPE1NA0GaxJK4qsX6PVWJlPXtNsdH4VjqM0JalTdFGzsdJqSspqKqcypxz9ea1RGRUvZWY2GN4BTRNQCRDW748ez3TiIiCHw6L363nO83jWXmvv72Z7OB/2XvschzHGCAAAwBI+3i4AAACgJggvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC9AIzNixAi1b9++XrZ14MABBQQEaP369fWyvV+q+fPnq127dioqKvJ2KUCDQHgBUGvTp09XXFycrrzyyjpdb1pamh577LEq+9QkoK1atUqjRo3SJZdcoqCgIHXo0EH33nuvsrOzz6/QCmRnZ2vKlCm65ppr1KxZMzkcDq1du7bCvv3795fD4Sj3uPHGG936jRgxQsXFxXrppZfqvF7ARk29XQCAuvXKK6+orKzM49s5evSoXn/9db3++ut1sr79+/fr1KlT6tKli1v74cOHdezYMXXv3l3Lly9XYmKi2/LS0lKtWbNGCQkJla578uTJOn78uAYPHqxOnTrp22+/1fPPP6+PP/5Y27dvV1hYWJ3sgyTt3r1bTz31lDp16qTu3bsrPT29yv4XXXSRUlNT3doiIiLcngcEBGj48OGaPXu2fv/738vhcNRZvYCVDADUwuzZs01gYKApKCiok/WtWrXKREVFmRkzZpiXX37ZTJ061cybN89ERUWZd955xxQUFJhrrrnGXH/99SYrK8tERUWZ7du3myuuuMIMGTLElJWVVbruTz/91JSWlpZrk2T+9Kc/1Un9Z+Xn55tjx44ZY4xZtGiRkWTWrFlTYd9+/fqZrl27Vmu9GRkZRpJZtWpVXZUKWIvLRoBFCgoK9OCDD6p9+/by9/dX27Ztdf3112vr1q2uPhXNeTl27JjuueceOZ1ONW/eXMOHD9fnn38uh8OhtLQ0t7HBwcE6dOiQBg0apODgYLVp00Z/+MMfVFpa6rbOxYsXKy4uTsHBwa62Xbt2KTAwUMOGDXPru27dOjVp0kSTJ0+udN+uvfZa7dixQ6dPn1ZycrLmzJmjzz//XBkZGbrzzjsVHBys1atXa/z48br11luVnZ2tcePGafbs2Xr77berPBtx9dVXy8fHp1xby5YttWvXrkrH1UazZs3UsmXLGo05c+aMTp48WWWfXr16qWXLlvroo4/OpzygUSC8ABYZN26c5s2bp9tvv10vvvii/vCHPygwMLDKN+CysjLdcsst+tvf/qbhw4fr8ccfV3Z2toYPH15h/9LSUiUmJqpVq1aaOXOm+vXrp1mzZunll1929SkpKdHmzZt1+eWXu43t0qWLZsyYoYULF2rJkiWSpFOnTmnEiBGKiYnR9OnTq9w/Hx8ft5BRUSDx8fFxa6/tJZSTJ0/q5MmTat26da3G15VvvvlGF1xwgZo1a6awsDA9+uijKikpqbDv5ZdfzuRoQOKyEWCTkJAQM378+Cr7DB8+3ERFRbmev//++0aSmTNnjquttLTUXHvttUaSWbBggdtYSWb69Olu6+zZs6fp1auX63lmZqaRZObOnVtu+6Wlpeaqq64yoaGh5rvvvjPjx483TZs2NZs3b66y7jVr1pjo6Ggzffp012WjF1980e2y0fXXX2+uv/568+2337pdNrr77rurvGxUkRkzZnj8Msy5LhuNGjXKPPbYY+b99983b7zxhvnNb35jJJk77rijwv5jx441gYGBHqsXsAUTdgGLNG/eXBs3btThw4fLTeqszLJly+Tr66sxY8a42nx8fDR+/HitXr26wjHjxo1ze/7rX/9aCxcudD0/duyYJKlFixblxvr4+CgtLU2xsbEaMGCAMjIy9Mgjj6h3795V1hkdHa1PPvlEXbp0UVpamhwOh+6//34NHDhQx44dU3BwsJKSktzuxImNjVV6erpWr15dozMwn332maZNm6Y77rhD1157bbXH1bVXX33V7fk999yjsWPH6pVXXtFDDz2kX/3qV27LW7RoocLCQp0+fVpBQUH1WSrQoHDZCLDI008/rS+//FKRkZHq06ePHnvsMX377bdVjtm3b5/Cw8PLvdl17Nixwv4BAQFq06aNW1uLFi30/fffl+trjKlwHRdffLEee+wxbd68WV27dtWjjz5aZY2SFBUVVe5OI+nHO2+6d+8uSeVuIZakJk2a6Prrrz/n+s/6+uuvdeutt6pbt27661//es7+J0+eVE5Ojutx9OjRam+rNiZOnChJWrlyZbllZ3/e3G2EXzrCC2CRO+64Q99++63mzp2riIgIPfPMM+ratav++c9/1tk2mjRpcs4+rVq1kqQKA81Z//d//yfpv7c618SIESPO+Tkve/furdE6pR8/VO+GG25QSEiIli5dqmbNmp1zzMyZMxUeHu56XHHFFTXebk1ERkZKko4fP15u2ffff6+goCAFBgZ6tAagoSO8AJYJDw/X7373Oy1evFhZWVlq1aqVHn/88Ur7R0VFKTs7W6dPn3Zrz8zMrHUN7dq1U2BgoLKysipcPn/+fK1YsUKPP/64iouLdd9999V6W3Xl2LFjuuGGG1RUVKTly5crPDy8WuOGDRumFStWuB5vvfWWR+s8eybt52e/JCkrK6vCs1PALw3hBbBEaWmp8vLy3Nratm2riIiIKj82PjExUSUlJXrllVdcbWVlZXrhhRdqXYuvr6969+6tjIyMcsuysrI0adIk3X777Xr44Yc1c+ZMLVmyRG+88Uatt3e+Tp06pZtuukmHDh3S0qVL1alTp2qP7dChgxISElyPuvo04fz8/HLHzRijP//5z5JU7sP4JGnr1q3q27dvnWwfsBkTdgFLFBQU6KKLLtJvf/tbxcbGKjg4WCtXrtTmzZs1a9asSscNGjRIffr00cSJE5WZmamYmBgtWbLEdVmitvMnBg4cqD/96U/Kz8+X0+mU9OOb76hRoxQYGKh58+ZJku677z69//77euCBB5SQkFDticZ1aejQodq0aZNGjRqlXbt2ud1aHhwcrEGDBtXp9s4GkJ07d0qSFi5cqHXr1kmSHnnkEUk/BpEhQ4ZoyJAh6tixowoLC/Xhhx9q/fr1Gjt2bLnb0Lds2aLjx49r4MCBdVorYCXv3uwEoLqKiorMpEmTTGxsrGnWrJm54IILTGxsrHnxxRfd+v38VmljjDl69Ki5++67TbNmzUxISIgZMWKEWb9+vZFk3nnnHbexF1xwQbltp6SkmJ//usjNzTVNmzY1CxcudLU999xzRpJ5//333fru37/fOJ1Oc9NNN9V2989LVFSUkVTh4+c/q7pQ2bZ++jP89ttvzeDBg0379u1NQECACQoKMr169TLz58+v8LbvyZMnm3bt2tX4lnCgMXIYU8ntAgAatcWLF+vWW2/VunXran0pZPTo0frmm2/0r3/9q46rw08VFRWpffv2mjJlih544AFvlwN4HXNegF+AwsJCt+elpaWaO3eunE5nucsTNZGSkqLNmzfzqa8etmDBAvn6+pb7/B3gl4ozL8AvwL333qvCwkLFx8erqKhIH3zwgTZs2KAnnnhCycnJ3i4PAGqE8AL8Arz99tuaNWuWMjMz9cMPP6hjx466//77NWHCBG+XBgA1RngBAABWYc4LAACwCuEFAABYpdF9SF1ZWZkOHz6sZs2a8eVlAABYwhijgoICRUREyMen6nMrjS68HD582PXFZgAAwC4HDhzQRRddVGWfRhdezn5L7IEDB1wfWQ4AABq2/Px8RUZGVuvb3htdeDl7qcjpdBJeAACwTHWmfDBhFwAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AAMAqhBegju04mOftEgCgUSO8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAODC3XKwAeEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AAMAqhBcAAGAVwgsAALAK4QWoQ3zAFwB4HuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AAMAqhBcAAGAVwgsAALAK4QUAAFjFo+Hls88+0y233KKIiAg5HA4tXrz4nGPWrl2ryy+/XP7+/urYsaPS0tI8WSIAALBMU0+u/NSpU4qNjdWoUaN02223nbN/VlaWbr75Zo0bN05vvfWWVq1apXvvvVfh4eFKTEz0ZKnnZIxRYUmpdh7K92odaHj8m/rI4XB4uwwA+MXwaHgZMGCABgwYUO3+8+fPV3R0tGbNmiVJ6tKli9atW6dnn33W6+GlsKRUl05d7tUa0DB1CXfqqdu6E2AAoJ40qDkv6enpSkhIcGtLTExUenp6pWOKioqUn5/v9gDq067sfBWdKfN2GQDwi+HRMy81lZOTo9DQULe20NBQ5efnq7CwUIGBgeXGpKamatq0aR6vLdC3ib6anshlI7j8UFKqe17b5Pq3xCUkNG7GGGXs/d7bZaAB6HqhU4G+Tbz2+65BhZfaSE5OVlJSkut5fn6+IiMj63w7DodDQX5NdUV0yzpfN+x0uviM699nQ8zZS0iAzXYczCvXZozR5Pe/0K6cAi9UhIboq+mJCvLzToxoUOElLCxMubm5bm25ublyOp0VnnWRJH9/f/n7+9dHeYCbQN8m6h3VQhn7/vuXKJeQ0FgVnSkjuKDBaFDhJT4+XkuXLnVrW7FiheLj471UEVA5h8OhRePilbH3e7dLSIDNjDEVBvCzl0YlaeGoPgrwbVKfZaGBOXvZyFs8Gl5OnjypzMxM1/OsrCxt375dLVu2VLt27ZScnKxDhw7pjTfekCSNGzdOzz//vP74xz9q1KhRWr16td577z198sknniwTqDWHw8EvcTQa1b001Kt9C69dLgAkD99tlJGRoZ49e6pnz56SpKSkJPXs2VNTp06VJGVnZ2v//v2u/tHR0frkk0+0YsUKxcbGatasWfrrX//q9dukAeCXoLCk9JzBpXdUC6/+xQ1IHj7z0r9/fxljKl1e0afn9u/fX9u2bfNgVQCAc6ns0lDv9i24ow5ex3k/4Dx1vyjE7c4joDEI8G1SYXghuKAhaFAfUgcAAHAunHkBAJTT9UInk3LRYHHmBahjVUzzAgDUAcILUMemfPBFlRPVAQDnh/AC1IFA3ya6NNwpSfr2u1Mq/MkHegEA6hbhBagDZz9tFwDgeYQXoI5wBykA1A/CCwAAsArhBQAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAIAkvpcL9iC8AABkjNHg+eneLgOoFsILAECFJaX6KjtfknRpuFOBvk28XBFQOcIL4AGcfofNFo2Ll4Pvu0ADRngBPGDw/HQZEgwsRW5BQ0d4AepIoG8TdWh9gSTpq+x8FZaUerkiAGicCC9AHXE4HHrytsu8XQYANHqEF6AOcbodADyP8AIAAKxCeAEAAFYhvAAAAKsQXgAAgFUILwAAwCqEFwAAYBXCCwAAsArhBQAAWIXwAtShrhc6vV0CADR6hBcAAGAVwgsAALAK4QUAAFiF8AIAAKxCeAEAAFYhvAAAAKsQXgAAgFUILwAAwCqEFwAAYBXCCwAAsArhBQAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AAMAqhBcAAGAVwgsAALAK4QUAAFiF8AIAAKxSL+HlhRdeUPv27RUQEKC4uDht2rSp0r5paWlyOBxuj4CAgPooEwAAWMDj4eXdd99VUlKSUlJStHXrVsXGxioxMVFHjhypdIzT6VR2drbrsW/fPk+XCQAALOHx8DJ79myNGTNGI0eO1KWXXqr58+crKChIr732WqVjHA6HwsLCXI/Q0FBPlwkAACzh0fBSXFysLVu2KCEh4b8b9PFRQkKC0tPTKx138uRJRUVFKTIyUgMHDtTOnTsr7VtUVKT8/Hy3BwAAaLw8Gl6+++47lZaWljtzEhoaqpycnArHdO7cWa+99po++ugjvfnmmyorK1Pfvn118ODBCvunpqYqJCTE9YiMjKzz/QAAAA1Hg7vbKD4+XsOGDVOPHj3Ur18/ffDBB2rTpo1eeumlCvsnJycrLy/P9Thw4EA9VwwAAOpTU0+uvHXr1mrSpIlyc3Pd2nNzcxUWFlatdfj6+qpnz57KzMyscLm/v7/8/f3Pu1YAAGAHj5558fPzU69evbRq1SpXW1lZmVatWqX4+PhqraO0tFQ7duxQeHi4p8oEAAAW8eiZF0lKSkrS8OHD1bt3b/Xp00dz5szRqVOnNHLkSEnSsGHDdOGFFyo1NVWSNH36dP3qV79Sx44ddeLECT3zzDPat2+f7r33Xk+XCgAALODx8HLnnXfq6NGjmjp1qnJyctSjRw8tW7bMNYl3//798vH57wmg77//XmPGjFFOTo5atGihXr16acOGDbr00ks9XSoAALCAwxhjvF1EXcrPz1dISIjy8vLkdDq9XQ5+YU4Xn9GlU5dLkr6anqggP4//fQDUCf7vwttq8v7d4O42AgAAqArhBQAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AAMAqhBcAAGAVwgsAALAK4QUAAFiF8AIAAKxCeAEAAFYhvAAAAKsQXgAAgFUILwAAwCqEFwAAYBXCCwAAsArhBQAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AAMAqhBcAAGAVwgsAALAK4QUAAFiF8AIAAKxCeAEAAFYhvAAAAKsQXgAAgFUILwAAwCqEFwAAYBXCCwAAsArhBQAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWqZfw8sILL6h9+/YKCAhQXFycNm3aVGX/RYsWKSYmRgEBAerevbuWLl1aH2UCAAALeDy8vPvuu0pKSlJKSoq2bt2q2NhYJSYm6siRIxX237Bhg4YMGaLRo0dr27ZtGjRokAYNGqQvv/zS06UCAAALeDy8zJ49W2PGjNHIkSN16aWXav78+QoKCtJrr71WYf/nnntON954oyZNmqQuXbpoxowZuvzyy/X88897ulQAAGABj4aX4uJibdmyRQkJCf/doI+PEhISlJ6eXuGY9PR0t/6SlJiYWGl/AADwy9LUkyv/7rvvVFpaqtDQULf20NBQff311xWOycnJqbB/Tk5Ohf2LiopUVFTkep6fn3+eVQMAgIbM+ruNUlNTFRIS4npERkZ6uyQAAOBBHg0vrVu3VpMmTZSbm+vWnpubq7CwsArHhIWF1ah/cnKy8vLyXI8DBw7UTfEAAKBB8mh48fPzU69evbRq1SpXW1lZmVatWqX4+PgKx8THx7v1l6QVK1ZU2t/f319Op9PtAQAAGi+PznmRpKSkJA0fPly9e/dWnz59NGfOHJ06dUojR46UJA0bNkwXXnihUlNTJUkPPPCA+vXrp1mzZunmm2/WO++8o4yMDL388sueLhUAAFjA4+Hlzjvv1NGjRzV16lTl5OSoR48eWrZsmWtS7v79++Xj898TQH379tXbb7+tRx55RA8//LA6deqkxYsXq1u3bp4uFQAAWMDj4UWSJkyYoAkTJlS4bO3ateXaBg8erMGDB3u4KgAAYCPr7zYCAAC/LIQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AAMAqhBcAAGAVwgsAALAK4QUAAFiF8AIAAKxCeAEAAFYhvAAAAKsQXgAAgFUILwAAwCqEFwAAYBXCCwAAsArhBQAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AAMAqhBcAAGAVwgsAALAK4QUAAFiF8AIAAKxCeAEAAFYhvAAAAKsQXgAAgFUILwAAwCqEFwAAYBXCCwAAsArhBQAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AAMAqhBcAAGAVwgsAALAK4QUAAFiF8AIAAKzi0fBy/PhxDR06VE6nU82bN9fo0aN18uTJKsf0799fDofD7TFu3DhPlgkAACzS1JMrHzp0qLKzs7VixQqVlJRo5MiRGjt2rN5+++0qx40ZM0bTp093PQ8KCvJkmQAAwCIeCy+7du3SsmXLtHnzZvXu3VuSNHfuXN10002aOXOmIiIiKh0bFBSksLAwT5UGAAAs5rHLRunp6WrevLkruEhSQkKCfHx8tHHjxirHvvXWW2rdurW6deum5ORknT59utK+RUVFys/Pd3sAAIDGy2NnXnJyctS2bVv3jTVtqpYtWyonJ6fScXfffbeioqIUERGhL774QpMnT9bu3bv1wQcfVNg/NTVV06ZNq9PaAQBAw1Xj8DJlyhQ99dRTVfbZtWtXrQsaO3as69/du3dXeHi4rrvuOu3Zs0cXX3xxuf7JyclKSkpyPc/Pz1dkZGSttw8AABq2GoeXiRMnasSIEVX26dChg8LCwnTkyBG39jNnzuj48eM1ms8SFxcnScrMzKwwvPj7+8vf37/a6wMAAHarcXhp06aN2rRpc85+8fHxOnHihLZs2aJevXpJklavXq2ysjJXIKmO7du3S5LCw8NrWioAAGiEPDZht0uXLrrxxhs1ZswYbdq0SevXr9eECRN01113ue40OnTokGJiYrRp0yZJ0p49ezRjxgxt2bJFe/fu1ZIlSzRs2DBdffXVuuyyyzxVKgAAsIhHP6TurbfeUkxMjK677jrddNNNuuqqq/Tyyy+7lpeUlGj37t2uu4n8/Py0cuVK3XDDDYqJidHEiRN1++236x//+IcnywQAABbx6IfUtWzZssoPpGvfvr2MMa7nkZGR+vTTTz1ZEgAAsBzfbQQAAKxCeAEAAFYhvAAAAKsQXgAAgFUILwAAwCqEFwAAYBXCCwAAsArhBQAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AAMAqhBcAAGAVwgsAALAK4QUAAFiF8AIAAKxCeAEAAFYhvAAAAKsQXgAAMsbbFQDVR3gBgF84Y4wGz0/3dhlAtRFeAA/hL1nYorCkVF9l50uSLg13KtC3iZcrAqpGeAE8ZPD8dBkSDCyzaFy8HA6Ht8sAqkR4AepQoG8TXRrulCR9lZ2vwpJSL1cE1Ay5BTYgvAB1yOFwaNG4eG+XAQCNGuEFqGP85QoAnkV4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AAMAqhBcAAGAVwgsAALAK4QUAAFiF8AIAAKxCeAEAAFYhvAAAAKsQXgAAgFUILwAAwCqEF8CDdh7K93YJANDoEF4AAIBVCC8AAMAqTb1dANCY/VBSKmOMHA6Ht0sBytlxME/Sj/9PAZtw5gXwoHte26TB89NljPF2KQDQaHDmBahjgb5N1CXcqV3ZP07Wzdj3vTL2fq8A3yZerqxx6X5RiLdLsJoxxnXGhTMvsI3Hwsvjjz+uTz75RNu3b5efn59OnDhxzjHGGKWkpOiVV17RiRMndOWVV2revHnq1KmTp8oE6pzD4dBTt3VXXmGJ7nltkyTeHDyBy3G1Z4zRb+ena8u+771dClArHgsvxcXFGjx4sOLj4/Xqq69Wa8zTTz+tv/zlL3r99dcVHR2tRx99VImJifrqq68UEBDgqVKBOudwONzOtJwNMag7vaNaaNG4eAJMLRSWlFYYXLqEOxXIGUJYwGPhZdq0aZKktLS0avU3xmjOnDl65JFHNHDgQEnSG2+8odDQUC1evFh33XWXp0oFPMK/qY/b5SPUrYx936uwpFRBflz9Ph8LR/VxBW3/pj6EQVihwbzqs7KylJOTo4SEBFdbSEiI4uLilJ6eXml4KSoqUlFRket5fj5vFGgYzl4+KjpT5u1SGpUfSkpdZ7K2MJeoVn56GTPAtwk/Q1inwYSXnJwcSVJoaKhbe2hoqGtZRVJTU11neYCG5OyE0rO3o6LucTkO+GWqUXiZMmWKnnrqqSr77Nq1SzExMedVVE0kJycrKSnJ9Tw/P1+RkZH1tn3gXLgrpm4ZY9Q7qoUymGx63rqEO+XflE/MgH1qFF4mTpyoESNGVNmnQ4cOtSokLCxMkpSbm6vw8HBXe25urnr06FHpOH9/f/n7+9dqmwDs43A4tGhcvDL2El7OV+/2LdzmuHCWELaoUXhp06aN2rRp45FCoqOjFRYWplWrVrnCSn5+vjZu3Kj777/fI9sEYCeHw6Erolt6uwwAXuKx84X79+/X9u3btX//fpWWlmr79u3avn27Tp486eoTExOjDz/8UNKPv4wefPBB/fnPf9aSJUu0Y8cODRs2TBERERo0aJCnygQAAJbx2ITdqVOn6vXXX3c979mzpyRpzZo16t+/vyRp9+7dysv772nKP/7xjzp16pTGjh2rEydO6KqrrtKyZcv4jBcAAODiMI3sS1fy8/MVEhKivLw8OZ1Ob5eDX6gdB/OYqAvr8P8W3lST92+mmQMAAKsQXgAAgFUILwAAwCqEFwAAYBXCCwAAsArhBQAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBPKD7RSHeLgGoMf7fwhaEFwAAYBXCCwAAsArhBQAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVmnq7gLpmjJEk5efne7kSAABQXWfft8++j1el0YWXgoICSVJkZKSXKwEAADVVUFCgkJCQKvs4THUijkXKysp0+PBhNWvWTA6Ho07XnZ+fr8jISB04cEBOp7NO190QNPb9kxr/PrJ/9mvs+8j+2c9T+2iMUUFBgSIiIuTjU/WslkZ35sXHx0cXXXSRR7fhdDob7X9KqfHvn9T495H9s19j30f2z36e2MdznXE5iwm7AADAKoQXAABgFcJLDfj7+yslJUX+/v7eLsUjGvv+SY1/H9k/+zX2fWT/7NcQ9rHRTdgFAACNG2deAACAVQgvAADAKoQXAABgFcILAACwCuHlJx5//HH17dtXQUFBat68eYV99u/fr5tvvllBQUFq27atJk2apDNnzlS53uPHj2vo0KFyOp1q3ry5Ro8erZMnT3pgD2pm7dq1cjgcFT42b95c6bj+/fuX6z9u3Lh6rLz62rdvX67WJ598ssoxP/zwg8aPH69WrVopODhYt99+u3Jzc+up4prZu3evRo8erejoaAUGBuriiy9WSkqKiouLqxzXkI/hCy+8oPbt2ysgIEBxcXHatGlTlf0XLVqkmJgYBQQEqHv37lq6dGk9VVpzqampuuKKK9SsWTO1bdtWgwYN0u7du6sck5aWVu5YBQQE1FPFNfPYY4+VqzUmJqbKMTYdP6ni3ykOh0Pjx4+vsH9DP36fffaZbrnlFkVERMjhcGjx4sVuy40xmjp1qsLDwxUYGKiEhAT95z//Oed6a/o6rinCy08UFxdr8ODBuv/++ytcXlpaqptvvlnFxcXasGGDXn/9daWlpWnq1KlVrnfo0KHauXOnVqxYoY8//lifffaZxo4d64ldqJG+ffsqOzvb7XHvvfcqOjpavXv3rnLsmDFj3MY9/fTT9VR1zU2fPt2t1t///vdV9n/ooYf0j3/8Q4sWLdKnn36qw4cP67bbbqunamvm66+/VllZmV566SXt3LlTzz77rObPn6+HH374nGMb4jF89913lZSUpJSUFG3dulWxsbFKTEzUkSNHKuy/YcMGDRkyRKNHj9a2bds0aNAgDRo0SF9++WU9V149n376qcaPH69///vfWrFihUpKSnTDDTfo1KlTVY5zOp1ux2rfvn31VHHNde3a1a3WdevWVdrXtuMnSZs3b3bbvxUrVkiSBg8eXOmYhnz8Tp06pdjYWL3wwgsVLn/66af1l7/8RfPnz9fGjRt1wQUXKDExUT/88EOl66zp67hWDMpZsGCBCQkJKde+dOlS4+PjY3Jyclxt8+bNM06n0xQVFVW4rq+++spIMps3b3a1/fOf/zQOh8McOnSozms/H8XFxaZNmzZm+vTpVfbr16+feeCBB+qnqPMUFRVlnn322Wr3P3HihPH19TWLFi1yte3atctIMunp6R6osO49/fTTJjo6uso+DfUY9unTx4wfP971vLS01ERERJjU1NQK+99xxx3m5ptvdmuLi4sz9913n0frrCtHjhwxksynn35aaZ/Kfh81RCkpKSY2Nrba/W0/fsYY88ADD5iLL77YlJWVVbjcpuMnyXz44Yeu52VlZSYsLMw888wzrrYTJ04Yf39/87e//a3S9dT0dVwbnHmpgfT0dHXv3l2hoaGutsTEROXn52vnzp2VjmnevLnbmYyEhAT5+Pho48aNHq+5JpYsWaJjx45p5MiR5+z71ltvqXXr1urWrZuSk5N1+vTpeqiwdp588km1atVKPXv21DPPPFPlZb4tW7aopKRECQkJrraYmBi1a9dO6enp9VHuecvLy1PLli3P2a+hHcPi4mJt2bLF7Wfv4+OjhISESn/26enpbv2lH1+TNh0rSec8XidPnlRUVJQiIyM1cODASn/fNAT/+c9/FBERoQ4dOmjo0KHav39/pX1tP37FxcV68803NWrUqCq/CNim4/dTWVlZysnJcTtGISEhiouLq/QY1eZ1XBuN7osZPSknJ8ctuEhyPc/Jyal0TNu2bd3amjZtqpYtW1Y6xlteffVVJSYmnvOLLe+++25FRUUpIiJCX3zxhSZPnqzdu3frgw8+qKdKq+9///d/dfnll6tly5basGGDkpOTlZ2drdmzZ1fYPycnR35+fuXmPIWGhja441WRzMxMzZ07VzNnzqyyX0M8ht99951KS0srfI19/fXXFY6p7DVpw7EqKyvTgw8+qCuvvFLdunWrtF/nzp312muv6bLLLlNeXp5mzpypvn37aufOnR7/EtqaiouLU1pamjp37qzs7GxNmzZNv/71r/Xll1+qWbNm5frbfPwkafHixTpx4oRGjBhRaR+bjt/PnT0ONTlGtXkd10ajDy9TpkzRU089VWWfXbt2nXNSmU1qs88HDx7U8uXL9d57751z/T+dr9O9e3eFh4fruuuu0549e3TxxRfXvvBqqsn+JSUludouu+wy+fn56b777lNqamqD/vju2hzDQ4cO6cYbb9TgwYM1ZsyYKsd6+xhCGj9+vL788ssq54RIUnx8vOLj413P+/btqy5duuill17SjBkzPF1mjQwYMMD178suu0xxcXGKiorSe++9p9GjR3uxMs949dVXNWDAAEVERFTax6bjZ5NGH14mTpxYZSqWpA4dOlRrXWFhYeVmTJ+9CyUsLKzSMT+fpHTmzBkdP3680jHnqzb7vGDBArVq1Uq/+c1vary9uLg4ST/+1V8fb3znc0zj4uJ05swZ7d27V507dy63PCwsTMXFxTpx4oTb2Zfc3FyPHa+K1HQfDx8+rGuuuUZ9+/bVyy+/XOPt1fcxrEjr1q3VpEmTcnd2VfWzDwsLq1H/hmLChAmuyfs1/evb19dXPXv2VGZmpoeqqzvNmzfXJZdcUmmtth4/Sdq3b59WrlxZ47OVNh2/s8chNzdX4eHhrvbc3Fz16NGjwjG1eR3XSp3NnmlEzjVhNzc319X20ksvGafTaX744YcK13V2wm5GRoarbfny5Q1qwm5ZWZmJjo42EydOrNX4devWGUnm888/r+PK6t6bb75pfHx8zPHjxytcfnbC7t///ndX29dff92gJ+wePHjQdOrUydx1113mzJkztVpHQzmGffr0MRMmTHA9Ly0tNRdeeGGVE3b/53/+x60tPj6+wU74LCsrM+PHjzcRERHmm2++qdU6zpw5Yzp37mweeuihOq6u7hUUFJgWLVqY5557rsLlth2/n0pJSTFhYWGmpKSkRuMa8vFTJRN2Z86c6WrLy8ur1oTdmryOa1Vrna2pEdi3b5/Ztm2bmTZtmgkODjbbtm0z27ZtMwUFBcaYH//TdevWzdxwww1m+/btZtmyZaZNmzYmOTnZtY6NGzeazp07m4MHD7rabrzxRtOzZ0+zceNGs27dOtOpUyczZMiQet+/yqxcudJIMrt27Sq37ODBg6Zz585m48aNxhhjMjMzzfTp001GRobJysoyH330kenQoYO5+uqr67vsc9qwYYN59tlnzfbt282ePXvMm2++adq0aWOGDRvm6vPz/TPGmHHjxpl27dqZ1atXm4yMDBMfH2/i4+O9sQvndPDgQdOxY0dz3XXXmYMHD5rs7GzX46d9bDmG77zzjvH39zdpaWnmq6++MmPHjjXNmzd33eF3zz33mClTprj6r1+/3jRt2tTMnDnT7Nq1y6SkpBhfX1+zY8cOb+1Cle6//34TEhJi1q5d63asTp8+7erz832cNm2aWb58udmzZ4/ZsmWLueuuu0xAQIDZuXOnN3ahShMnTjRr1641WVlZZv369SYhIcG0bt3aHDlyxBhj//E7q7S01LRr185Mnjy53DLbjl9BQYHrvU6SmT17ttm2bZvZt2+fMcaYJ5980jRv3tx89NFH5osvvjADBw400dHRprCw0LWOa6+91sydO9f1/Fyv47pAePmJ4cOHG0nlHmvWrHH12bt3rxkwYIAJDAw0rVu3NhMnTnRL3mvWrDGSTFZWlqvt2LFjZsiQISY4ONg4nU4zcuRIVyBqCIYMGWL69u1b4bKsrCy3n8H+/fvN1VdfbVq2bGn8/f1Nx44dzaRJk0xeXl49Vlw9W7ZsMXFxcSYkJMQEBASYLl26mCeeeMLtLNnP988YYwoLC83vfvc706JFCxMUFGRuvfVWtzDQkCxYsKDC/7M/Palq2zGcO3euadeunfHz8zN9+vQx//73v13L+vXrZ4YPH+7W/7333jOXXHKJ8fPzM127djWffPJJPVdcfZUdqwULFrj6/HwfH3zwQdfPIzQ01Nx0001m69at9V98Ndx5550mPDzc+Pn5mQsvvNDceeedJjMz07Xc9uN31vLly40ks3v37nLLbDt+Z9+zfv44uw9lZWXm0UcfNaGhocbf399cd9115fY7KirKpKSkuLVV9TquCw5jjKm7i1AAAACexee8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwCuEFAABYhfACAACsQngBAABWIbwAAACrEF4AAIBVCC8AGryjR48qLCxMTzzxhKttw4YN8vPz06pVq7xYGQBv4LuNAFhh6dKlGjRokDZs2KDOnTurR48eGjhwoGbPnu3t0gDUM8ILAGuMHz9eK1euVO/evbVjxw5t3rxZ/v7+3i4LQD0jvACwRmFhobp166YDBw5oy5Yt6t69u7dLAuAFzHkBYI09e/bo8OHDKisr0969e71dDgAv4cwLACsUFxerT58+6tGjhzp37qw5c+Zox44datu2rbdLA1DPCC8ArDBp0iT9/e9/1+eff67g4GD169dPISEh+vjjj71dGoB6xmUjAA3e2rVrNWfOHC1cuFBOp1M+Pj5auHCh/vWvf2nevHneLg9APePMCwAAsApnXgAAgFUILwAAwCqEFwAAYBXCCwAAsArhBQAAWIXwAgAArEJ4AQAAViG8AAAAqxBeAACAVQgvAADAKoQXAABgFcILAACwyv8DnlqQxGDz2goAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -3685,13 +3045,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-10.0, -9.96)\": 4.102, \"(-9.96, -9.96)\": 3.251, \"(-9.96, -9.95)\": 3.037, \"(-9.95, -9.94)\": 2.848, \"(-9.94, -9.91)\": 2.769, \"(-9.91, -9.86)\": 2.133, \"(-9.86, -9.83)\": 1.845, \"(-9.83, -9.82)\": 1.727, \"(-9.82, -9.79)\": 1.602, \"(-9.79, -9.76)\": 1.477, \"(-9.76, -9.73)\": 1.362, \"(-9.73, -9.69)\": 1.269, \"(-9.69, -9.65)\": 1.095, \"(-9.65, -9.61)\": 0.989, \"(-9.61, -9.56)\": 0.897, \"(-9.56, -9.49)\": 0.73, \"(-9.49, -9.46)\": 0.628, \"(-9.46, -9.39)\": 0.549, \"(-9.39, -9.32)\": 0.462, \"(-9.32, -9.24)\": 0.318, \"(-9.24, -9.18)\": 0.242, \"(-9.18, -9.09)\": 0.17, \"(-9.09, -8.96)\": 0.022, \"(-8.96, -8.87)\": -0.053, \"(-8.87, -8.76)\": -0.156, \"(-8.76, -8.66)\": -0.229, \"(-8.66, -8.55)\": -0.316, \"(-8.55, -8.42)\": -0.393, \"(-8.42, -8.3)\": -0.464, \"(-8.3, -8.17)\": -0.544, \"(-8.17, -8.03)\": -0.615, \"(-8.03, -7.9)\": -0.686, \"(-7.9, -7.7)\": -0.757, \"(-7.7, -7.5)\": -0.849, \"(-7.5, -7.29)\": -0.93, \"(-7.29, -7.08)\": -1.002, \"(-7.08, -6.88)\": -1.076, \"(-6.88, -6.65)\": -1.147, \"(-6.65, -6.38)\": -1.22, \"(-6.38, -6.08)\": -1.293, \"(-6.08, -5.81)\": -1.367, \"(-5.81, -5.45)\": -1.44, \"(-5.45, -5.16)\": -1.513, \"(-5.16, -4.79)\": -1.583, \"(-4.79, -4.35)\": -1.656, \"(-4.35, -3.97)\": -1.727, \"(-3.97, -3.49)\": -1.799, \"(-3.49, -2.98)\": -1.87, \"(-2.98, -2.41)\": -1.947, \"(-2.41, -1.97)\": -2.019, \"(-1.97, -1.35)\": -2.091, \"(-1.35, -0.63)\": -2.162, \"(-0.63, 0.07)\": -2.234, \"(0.07, 0.85)\": -2.306, \"(0.85, 1.65)\": -2.378, \"(1.65, 2.47)\": -2.45, \"(2.47, 3.43)\": -2.521, \"(3.43, 4.44)\": -2.593, \"(4.44, 5.59)\": -2.665, \"(5.59, 6.74)\": -2.736, \"(6.74, 8.11)\": -2.809, \"(8.11, 9.51)\": -2.881, \"(9.51, 9.98)\": -2.952}\n", + "Means: {\"(-10.0, -4.08)\": 1.006, \"(-4.08, -3.97)\": 0.986, \"(-3.97, -3.94)\": 0.917, \"(-3.94, -3.87)\": 0.808, \"(-3.87, -3.82)\": -0.767, \"(-3.82, -3.74)\": -0.964, \"(-3.74, 0.09)\": -0.986, \"(0.09, 3.67)\": -1.006, \"(3.67, 3.86)\": -0.98, \"(3.86, 3.87)\": -0.96, \"(3.87, 3.9)\": -0.755, \"(3.9, 3.94)\": 0.835, \"(3.94, 4.22)\": 0.967, \"(4.22, 10.0)\": 0.988}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3701,7 +3061,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3717,13 +3077,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-10.0, -9.79)\": -9.99, \"(-9.79, -9.58)\": -9.79, \"(-9.58, -9.39)\": -9.57, \"(-9.39, -9.16)\": -9.36, \"(-9.16, -8.96)\": -9.15, \"(-8.96, -8.74)\": -8.94, \"(-8.74, -8.55)\": -8.74, \"(-8.55, -8.32)\": -8.52, \"(-8.32, -8.11)\": -8.32, \"(-8.11, -7.91)\": -8.1, \"(-7.91, -7.67)\": -7.88, \"(-7.67, -7.44)\": -7.66, \"(-7.44, -7.23)\": -7.43, \"(-7.23, -7.06)\": -7.23, \"(-7.06, -6.83)\": -7.02, \"(-6.83, -6.54)\": -6.8, \"(-6.54, -6.26)\": -6.47, \"(-6.26, -6.07)\": -6.25, \"(-6.07, -5.83)\": -6.05, \"(-5.83, -5.59)\": -5.82, \"(-5.59, -5.34)\": -5.55, \"(-5.34, -5.14)\": -5.35, \"(-5.14, -4.93)\": -5.14, \"(-4.93, -4.73)\": -4.93, \"(-4.73, -4.51)\": -4.71, \"(-4.51, -4.31)\": -4.51, \"(-4.31, -4.07)\": -4.3, \"(-4.07, -3.84)\": -4.06, \"(-3.84, -3.64)\": -3.84, \"(-3.64, -3.45)\": -3.63, \"(-3.45, -3.23)\": -3.43, \"(-3.23, -3.04)\": -3.23, \"(-3.04, -2.79)\": -3.01, \"(-2.79, -2.59)\": -2.79, \"(-2.59, -2.39)\": -2.58, \"(-2.39, -2.17)\": -2.37, \"(-2.17, -1.93)\": -2.15, \"(-1.93, -1.72)\": -1.93, \"(-1.72, -1.52)\": -1.73, \"(-1.52, -1.3)\": -1.5, \"(-1.3, -1.09)\": -1.28, \"(-1.09, -0.86)\": -1.08, \"(-0.86, -0.67)\": -0.87, \"(-0.67, -0.47)\": -0.65, \"(-0.47, -0.23)\": -0.44, \"(-0.23, -0.02)\": -0.22, \"(-0.02, 0.19)\": 0.01, \"(0.19, 0.42)\": 0.21, \"(0.42, 0.68)\": 0.47, \"(0.68, 0.89)\": 0.7, \"(0.89, 1.11)\": 0.91, \"(1.11, 1.3)\": 1.12, \"(1.3, 1.53)\": 1.33, \"(1.53, 1.76)\": 1.55, \"(1.76, 1.95)\": 1.76, \"(1.95, 2.17)\": 1.97, \"(2.17, 2.36)\": 2.18, \"(2.36, 2.58)\": 2.39, \"(2.58, 2.8)\": 2.6, \"(2.8, 3.0)\": 2.82, \"(3.0, 3.24)\": 3.02, \"(3.24, 3.43)\": 3.25, \"(3.43, 3.66)\": 3.45, \"(3.66, 3.86)\": 3.67, \"(3.86, 4.07)\": 3.88, \"(4.07, 4.27)\": 4.08, \"(4.27, 4.49)\": 4.29, \"(4.49, 4.73)\": 4.51, \"(4.73, 4.91)\": 4.73, \"(4.91, 5.14)\": 4.96, \"(5.14, 5.39)\": 5.17, \"(5.39, 5.61)\": 5.41, \"(5.61, 5.82)\": 5.61, \"(5.82, 6.01)\": 5.82, \"(6.01, 6.24)\": 6.04, \"(6.24, 6.48)\": 6.26, \"(6.48, 6.69)\": 6.48, \"(6.69, 6.89)\": 6.69, \"(6.89, 7.11)\": 6.9, \"(7.11, 7.31)\": 7.11, \"(7.31, 7.5)\": 7.32, \"(7.5, 7.7)\": 7.52, \"(7.7, 7.91)\": 7.74, \"(7.91, 8.14)\": 7.94, \"(8.14, 8.37)\": 8.16, \"(8.37, 8.58)\": 8.37, \"(8.58, 8.83)\": 8.63, \"(8.83, 9.05)\": 8.84, \"(9.05, 9.25)\": 9.06, \"(9.25, 9.47)\": 9.27, \"(9.47, 9.7)\": 9.5, \"(9.7, 9.91)\": 9.72, \"(9.91, 9.98)\": 9.92}\n", + "Means: {\"(-9.96, -9.86)\": 78.59, \"(-9.86, -9.81)\": 76.87, \"(-9.81, -9.76)\": 76.02, \"(-9.76, -9.71)\": 75.17, \"(-9.71, -9.65)\": 74.14, \"(-9.65, -9.6)\": 72.89, \"(-9.6, -9.56)\": 71.88, \"(-9.56, -9.49)\": 71.08, \"(-9.49, -9.45)\": 70.17, \"(-9.45, -9.39)\": 69.02, \"(-9.39, -9.34)\": 67.86, \"(-9.34, -9.27)\": 66.82, \"(-9.27, -9.21)\": 65.68, \"(-9.21, -9.13)\": 64.23, \"(-9.13, -9.07)\": 63.29, \"(-9.07, -9.0)\": 62.01, \"(-9.0, -8.91)\": 60.27, \"(-8.91, -8.83)\": 58.93, \"(-8.83, -8.76)\": 57.42, \"(-8.76, -8.7)\": 56.59, \"(-8.7, -8.65)\": 55.66, \"(-8.65, -8.59)\": 54.8, \"(-8.59, -8.52)\": 53.38, \"(-8.52, -8.46)\": 52.43, \"(-8.46, -8.4)\": 51.26, \"(-8.4, -8.33)\": 50.4, \"(-8.33, -8.27)\": 49.12, \"(-8.27, -8.21)\": 48.31, \"(-8.21, -8.17)\": 47.51, \"(-8.17, -8.13)\": 46.7, \"(-8.13, -8.07)\": 45.74, \"(-8.07, -7.99)\": 44.74, \"(-7.99, -7.92)\": 43.68, \"(-7.92, -7.86)\": 42.57, \"(-7.86, -7.8)\": 41.6, \"(-7.8, -7.74)\": 40.8, \"(-7.74, -7.66)\": 39.58, \"(-7.66, -7.59)\": 38.46, \"(-7.59, -7.54)\": 37.5, \"(-7.54, -7.47)\": 36.42, \"(-7.47, -7.38)\": 35.6, \"(-7.38, -7.33)\": 34.39, \"(-7.33, -7.28)\": 33.53, \"(-7.28, -7.2)\": 32.64, \"(-7.2, -7.16)\": 31.76, \"(-7.16, -7.09)\": 30.77, \"(-7.09, -6.99)\": 29.75, \"(-6.99, -6.94)\": 28.94, \"(-6.94, -6.88)\": 28.12, \"(-6.88, -6.82)\": 27.23, \"(-6.82, -6.76)\": 26.3, \"(-6.76, -6.68)\": 25.51, \"(-6.68, -6.64)\": 24.51, \"(-6.64, -6.55)\": 23.62, \"(-6.55, -6.47)\": 22.71, \"(-6.47, -6.4)\": 21.71, \"(-6.4, -6.33)\": 20.88, \"(-6.33, -6.26)\": 20.04, \"(-6.26, -6.2)\": 19.17, \"(-6.2, -6.13)\": 18.28, \"(-6.13, -6.03)\": 17.16, \"(-6.03, -5.95)\": 16.28, \"(-5.95, -5.88)\": 15.18, \"(-5.88, -5.78)\": 14.31, \"(-5.78, -5.67)\": 13.12, \"(-5.67, -5.6)\": 12.13, \"(-5.6, -5.52)\": 11.16, \"(-5.52, -5.42)\": 10.16, \"(-5.42, -5.32)\": 9.12, \"(-5.32, -5.23)\": 8.18, \"(-5.23, -5.15)\": 7.32, \"(-5.15, -5.06)\": 6.51, \"(-5.06, -4.95)\": 5.33, \"(-4.95, -4.86)\": 4.33, \"(-4.86, -4.75)\": 3.4, \"(-4.75, -4.66)\": 2.44, \"(-4.66, -4.57)\": 1.65, \"(-4.57, -4.3)\": 0.74, \"(-4.3, -4.21)\": 1.63, \"(-4.21, -4.1)\": 2.48, \"(-4.1, -4.0)\": 3.27, \"(-4.0, -3.89)\": 4.12, \"(-3.89, -3.77)\": 4.95, \"(-3.77, -3.66)\": 5.8, \"(-3.66, -3.53)\": 6.72, \"(-3.53, -3.43)\": 7.62, \"(-3.43, -3.3)\": 8.47, \"(-3.3, -3.15)\": 9.29, \"(-3.15, -3.01)\": 10.11, \"(-3.01, -2.84)\": 11.12, \"(-2.84, -2.68)\": 12.0, \"(-2.68, -2.52)\": 12.84, \"(-2.52, -2.34)\": 13.72, \"(-2.34, -2.15)\": 14.58, \"(-2.15, -1.96)\": 15.38, \"(-1.96, -1.73)\": 16.24, \"(-1.73, -1.46)\": 17.03, \"(-1.46, -1.15)\": 17.87, \"(-1.15, -0.67)\": 18.72, \"(-0.67, 1.13)\": 19.52, \"(1.13, 1.44)\": 18.7, \"(1.44, 1.71)\": 17.9, \"(1.71, 1.94)\": 17.03, \"(1.94, 2.14)\": 16.17, \"(2.14, 2.38)\": 15.33, \"(2.38, 2.59)\": 14.04, \"(2.59, 2.75)\": 13.22, \"(2.75, 2.91)\": 12.35, \"(2.91, 3.04)\": 11.45, \"(3.04, 3.2)\": 10.55, \"(3.2, 3.35)\": 9.43, \"(3.35, 3.49)\": 8.61, \"(3.49, 3.61)\": 7.73, \"(3.61, 3.73)\": 6.93, \"(3.73, 3.88)\": 5.86, \"(3.88, 3.98)\": 4.9, \"(3.98, 4.15)\": 3.8, \"(4.15, 4.28)\": 2.54, \"(4.28, 4.38)\": 1.69, \"(4.38, 4.65)\": 0.77, \"(4.65, 4.72)\": 1.57, \"(4.72, 4.81)\": 2.39, \"(4.81, 4.9)\": 3.24, \"(4.9, 5.0)\": 4.11, \"(5.0, 5.12)\": 5.08, \"(5.12, 5.25)\": 6.68, \"(5.25, 5.37)\": 7.9, \"(5.37, 5.45)\": 8.87, \"(5.45, 5.54)\": 9.81, \"(5.54, 5.62)\": 10.78, \"(5.62, 5.67)\": 11.58, \"(5.67, 5.74)\": 12.38, \"(5.74, 5.82)\": 13.19, \"(5.82, 5.9)\": 14.03, \"(5.9, 6.01)\": 15.18, \"(6.01, 6.09)\": 16.26, \"(6.09, 6.14)\": 17.27, \"(6.14, 6.24)\": 18.14, \"(6.24, 6.3)\": 19.12, \"(6.3, 6.4)\": 20.04, \"(6.4, 6.46)\": 21.01, \"(6.46, 6.52)\": 21.87, \"(6.52, 6.61)\": 22.72, \"(6.61, 6.68)\": 23.8, \"(6.68, 6.77)\": 24.83, \"(6.77, 6.85)\": 25.95, \"(6.85, 6.93)\": 27.26, \"(6.93, 7.02)\": 28.1, \"(7.02, 7.11)\": 29.67, \"(7.11, 7.18)\": 30.64, \"(7.18, 7.24)\": 31.58, \"(7.24, 7.31)\": 32.67, \"(7.31, 7.38)\": 33.5, \"(7.38, 7.43)\": 34.47, \"(7.43, 7.48)\": 35.5, \"(7.48, 7.56)\": 36.33, \"(7.56, 7.62)\": 37.22, \"(7.62, 7.68)\": 38.19, \"(7.68, 7.76)\": 39.25, \"(7.76, 7.81)\": 40.42, \"(7.81, 7.89)\": 41.25, \"(7.89, 7.95)\": 42.41, \"(7.95, 8.01)\": 43.58, \"(8.01, 8.08)\": 44.45, \"(8.08, 8.14)\": 45.46, \"(8.14, 8.18)\": 46.38, \"(8.18, 8.25)\": 47.25, \"(8.25, 8.3)\": 48.21, \"(8.3, 8.35)\": 49.05, \"(8.35, 8.43)\": 49.87, \"(8.43, 8.5)\": 51.53, \"(8.5, 8.55)\": 52.35, \"(8.55, 8.61)\": 53.31, \"(8.61, 8.65)\": 54.37, \"(8.65, 8.71)\": 55.16, \"(8.71, 8.78)\": 56.14, \"(8.78, 8.85)\": 57.32, \"(8.85, 8.9)\": 58.59, \"(8.9, 8.96)\": 59.39, \"(8.96, 9.02)\": 60.45, \"(9.02, 9.06)\": 61.43, \"(9.06, 9.11)\": 62.27, \"(9.11, 9.14)\": 63.11, \"(9.14, 9.2)\": 63.97, \"(9.2, 9.27)\": 65.46, \"(9.27, 9.32)\": 66.36, \"(9.32, 9.38)\": 67.23, \"(9.38, 9.45)\": 68.22, \"(9.45, 9.5)\": 69.41, \"(9.5, 9.56)\": 70.79, \"(9.56, 9.6)\": 71.77, \"(9.6, 9.66)\": 72.65, \"(9.66, 9.71)\": 73.52, \"(9.71, 9.75)\": 74.38, \"(9.75, 9.81)\": 75.25, \"(9.81, 9.86)\": 76.51, \"(9.86, 9.91)\": 77.32, \"(9.91, 9.96)\": 78.4, \"(9.96, 10.0)\": 79.44}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3733,7 +3093,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3749,13 +3109,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.99, -9.95)\": 0.527, \"(-9.95, -9.9)\": 0.487, \"(-9.9, -9.83)\": 0.44, \"(-9.83, -9.76)\": 0.347, \"(-9.76, -9.72)\": 0.316, \"(-9.72, -9.69)\": 0.279, \"(-9.69, -9.66)\": 0.253, \"(-9.66, -9.64)\": 0.229, \"(-9.64, -9.58)\": 0.193, \"(-9.58, -9.52)\": 0.119, \"(-9.52, -9.5)\": 0.091, \"(-9.5, -9.47)\": 0.063, \"(-9.47, -9.44)\": 0.037, \"(-9.44, -9.42)\": 0.003, \"(-9.42, -9.37)\": -0.023, \"(-9.37, -9.34)\": -0.064, \"(-9.34, -9.3)\": -0.107, \"(-9.3, -9.27)\": -0.138, \"(-9.27, -9.24)\": -0.169, \"(-9.24, -9.2)\": -0.205, \"(-9.2, -9.17)\": -0.231, \"(-9.17, -9.14)\": -0.266, \"(-9.14, -9.1)\": -0.299, \"(-9.1, -9.06)\": -0.344, \"(-9.06, -9.03)\": -0.367, \"(-9.03, -9.0)\": -0.393, \"(-9.0, -8.97)\": -0.424, \"(-8.97, -8.92)\": -0.451, \"(-8.92, -8.87)\": -0.503, \"(-8.87, -8.85)\": -0.528, \"(-8.85, -8.81)\": -0.554, \"(-8.81, -8.78)\": -0.581, \"(-8.78, -8.75)\": -0.605, \"(-8.75, -8.7)\": -0.647, \"(-8.7, -8.68)\": -0.668, \"(-8.68, -8.62)\": -0.689, \"(-8.62, -8.55)\": -0.736, \"(-8.55, -8.49)\": -0.789, \"(-8.49, -8.45)\": -0.811, \"(-8.45, -8.39)\": -0.839, \"(-8.39, -8.31)\": -0.862, \"(-8.31, -8.23)\": -0.911, \"(-8.23, -8.14)\": -0.939, \"(-8.14, -8.04)\": -0.96, \"(-8.04, -7.59)\": -0.985, \"(-7.59, -7.51)\": -0.963, \"(-7.51, -7.46)\": -0.941, \"(-7.46, -7.4)\": -0.92, \"(-7.4, -7.33)\": -0.886, \"(-7.33, -7.28)\": -0.859, \"(-7.28, -7.25)\": -0.836, \"(-7.25, -7.2)\": -0.813, \"(-7.2, -7.15)\": -0.788, \"(-7.15, -7.08)\": -0.745, \"(-7.08, -7.01)\": -0.683, \"(-7.01, -6.98)\": -0.655, \"(-6.98, -6.94)\": -0.633, \"(-6.94, -6.91)\": -0.596, \"(-6.91, -6.88)\": -0.575, \"(-6.88, -6.84)\": -0.549, \"(-6.84, -6.81)\": -0.526, \"(-6.81, -6.76)\": -0.498, \"(-6.76, -6.71)\": -0.427, \"(-6.71, -6.68)\": -0.402, \"(-6.68, -6.63)\": -0.377, \"(-6.63, -6.6)\": -0.33, \"(-6.6, -6.57)\": -0.298, \"(-6.57, -6.55)\": -0.277, \"(-6.55, -6.49)\": -0.254, \"(-6.49, -6.42)\": -0.176, \"(-6.42, -6.37)\": -0.105, \"(-6.37, -6.34)\": -0.076, \"(-6.34, -6.32)\": -0.053, \"(-6.32, -6.28)\": -0.013, \"(-6.28, -6.26)\": 0.012, \"(-6.26, -6.24)\": 0.032, \"(-6.24, -6.22)\": 0.056, \"(-6.22, -6.19)\": 0.077, \"(-6.19, -6.13)\": 0.097, \"(-6.13, -6.08)\": 0.193, \"(-6.08, -6.06)\": 0.214, \"(-6.06, -6.03)\": 0.239, \"(-6.03, -6.0)\": 0.266, \"(-6.0, -5.95)\": 0.3, \"(-5.95, -5.92)\": 0.335, \"(-5.92, -5.89)\": 0.358, \"(-5.89, -5.85)\": 0.403, \"(-5.85, -5.79)\": 0.439, \"(-5.79, -5.72)\": 0.517, \"(-5.72, -5.68)\": 0.546, \"(-5.68, -5.66)\": 0.567, \"(-5.66, -5.61)\": 0.589, \"(-5.61, -5.58)\": 0.629, \"(-5.58, -5.54)\": 0.654, \"(-5.54, -5.52)\": 0.678, \"(-5.52, -5.47)\": 0.708, \"(-5.47, -5.43)\": 0.735, \"(-5.43, -5.39)\": 0.759, \"(-5.39, -5.36)\": 0.779, \"(-5.36, -5.32)\": 0.802, \"(-5.32, -5.26)\": 0.828, \"(-5.26, -5.19)\": 0.87, \"(-5.19, -5.13)\": 0.895, \"(-5.13, -5.06)\": 0.918, \"(-5.06, -4.98)\": 0.944, \"(-4.98, -4.88)\": 0.968, \"(-4.88, -4.46)\": 0.988, \"(-4.46, -4.34)\": 0.964, \"(-4.34, -4.25)\": 0.916, \"(-4.25, -4.2)\": 0.894, \"(-4.2, -4.13)\": 0.869, \"(-4.13, -4.05)\": 0.809, \"(-4.05, -4.02)\": 0.783, \"(-4.02, -3.98)\": 0.759, \"(-3.98, -3.92)\": 0.721, \"(-3.92, -3.9)\": 0.697, \"(-3.9, -3.86)\": 0.677, \"(-3.86, -3.83)\": 0.656, \"(-3.83, -3.78)\": 0.632, \"(-3.78, -3.74)\": 0.579, \"(-3.74, -3.72)\": 0.558, \"(-3.72, -3.65)\": 0.53, \"(-3.65, -3.57)\": 0.436, \"(-3.57, -3.54)\": 0.406, \"(-3.54, -3.51)\": 0.372, \"(-3.51, -3.48)\": 0.348, \"(-3.48, -3.44)\": 0.315, \"(-3.44, -3.41)\": 0.276, \"(-3.41, -3.36)\": 0.244, \"(-3.36, -3.33)\": 0.199, \"(-3.33, -3.28)\": 0.165, \"(-3.28, -3.24)\": 0.125, \"(-3.24, -3.21)\": 0.083, \"(-3.21, -3.18)\": 0.057, \"(-3.18, -3.14)\": 0.016, \"(-3.14, -3.11)\": -0.015, \"(-3.11, -3.08)\": -0.037, \"(-3.08, -3.03)\": -0.074, \"(-3.03, -2.97)\": -0.147, \"(-2.97, -2.95)\": -0.171, \"(-2.95, -2.91)\": -0.201, \"(-2.91, -2.87)\": -0.24, \"(-2.87, -2.83)\": -0.267, \"(-2.83, -2.8)\": -0.321, \"(-2.8, -2.74)\": -0.345, \"(-2.74, -2.69)\": -0.414, \"(-2.69, -2.64)\": -0.453, \"(-2.64, -2.58)\": -0.501, \"(-2.58, -2.56)\": -0.539, \"(-2.56, -2.52)\": -0.562, \"(-2.52, -2.49)\": -0.597, \"(-2.49, -2.46)\": -0.622, \"(-2.46, -2.41)\": -0.647, \"(-2.41, -2.34)\": -0.695, \"(-2.34, -2.31)\": -0.718, \"(-2.31, -2.29)\": -0.741, \"(-2.29, -2.24)\": -0.767, \"(-2.24, -2.17)\": -0.808, \"(-2.17, -2.11)\": -0.829, \"(-2.11, -2.06)\": -0.867, \"(-2.06, -2.0)\": -0.89, \"(-2.0, -1.95)\": -0.912, \"(-1.95, -1.88)\": -0.934, \"(-1.88, -1.78)\": -0.956, \"(-1.78, -1.32)\": -0.984, \"(-1.32, -1.23)\": -0.962, \"(-1.23, -1.17)\": -0.938, \"(-1.17, -1.1)\": -0.913, \"(-1.1, -1.03)\": -0.885, \"(-1.03, -0.92)\": -0.85, \"(-0.92, -0.82)\": -0.745, \"(-0.82, -0.77)\": -0.722, \"(-0.77, -0.72)\": -0.674, \"(-0.72, -0.68)\": -0.654, \"(-0.68, -0.66)\": -0.631, \"(-0.66, -0.63)\": -0.609, \"(-0.63, -0.6)\": -0.582, \"(-0.6, -0.57)\": -0.557, \"(-0.57, -0.54)\": -0.532, \"(-0.54, -0.49)\": -0.494, \"(-0.49, -0.45)\": -0.469, \"(-0.45, -0.39)\": -0.404, \"(-0.39, -0.36)\": -0.379, \"(-0.36, -0.34)\": -0.347, \"(-0.34, -0.3)\": -0.324, \"(-0.3, -0.26)\": -0.27, \"(-0.26, -0.24)\": -0.249, \"(-0.24, -0.2)\": -0.229, \"(-0.2, -0.17)\": -0.187, \"(-0.17, -0.14)\": -0.162, \"(-0.14, -0.1)\": -0.126, \"(-0.1, -0.05)\": -0.07, \"(-0.05, -0.02)\": -0.041, \"(-0.02, 0.01)\": -0.015, \"(0.01, 0.03)\": 0.017, \"(0.03, 0.06)\": 0.04, \"(0.06, 0.08)\": 0.062, \"(0.08, 0.11)\": 0.092, \"(0.11, 0.13)\": 0.117, \"(0.13, 0.18)\": 0.138, \"(0.18, 0.22)\": 0.193, \"(0.22, 0.29)\": 0.238, \"(0.29, 0.34)\": 0.31, \"(0.34, 0.37)\": 0.346, \"(0.37, 0.41)\": 0.384, \"(0.41, 0.46)\": 0.409, \"(0.46, 0.5)\": 0.466, \"(0.5, 0.53)\": 0.493, \"(0.53, 0.6)\": 0.514, \"(0.6, 0.69)\": 0.616, \"(0.69, 0.72)\": 0.637, \"(0.72, 0.77)\": 0.673, \"(0.77, 0.83)\": 0.716, \"(0.83, 0.87)\": 0.741, \"(0.87, 0.93)\": 0.773, \"(0.93, 1.0)\": 0.815, \"(1.0, 1.06)\": 0.85, \"(1.06, 1.1)\": 0.874, \"(1.1, 1.19)\": 0.906, \"(1.19, 1.27)\": 0.93, \"(1.27, 1.37)\": 0.96, \"(1.37, 1.84)\": 0.981, \"(1.84, 1.9)\": 0.96, \"(1.9, 1.99)\": 0.933, \"(1.99, 2.05)\": 0.912, \"(2.05, 2.1)\": 0.88, \"(2.1, 2.15)\": 0.859, \"(2.15, 2.2)\": 0.822, \"(2.2, 2.25)\": 0.795, \"(2.25, 2.3)\": 0.774, \"(2.3, 2.35)\": 0.737, \"(2.35, 2.39)\": 0.697, \"(2.39, 2.45)\": 0.67, \"(2.45, 2.5)\": 0.617, \"(2.5, 2.54)\": 0.59, \"(2.54, 2.57)\": 0.567, \"(2.57, 2.62)\": 0.529, \"(2.62, 2.66)\": 0.484, \"(2.66, 2.68)\": 0.456, \"(2.68, 2.72)\": 0.434, \"(2.72, 2.76)\": 0.391, \"(2.76, 2.79)\": 0.364, \"(2.79, 2.82)\": 0.333, \"(2.82, 2.85)\": 0.308, \"(2.85, 2.89)\": 0.285, \"(2.89, 2.92)\": 0.244, \"(2.92, 2.94)\": 0.218, \"(2.94, 2.96)\": 0.197, \"(2.96, 2.99)\": 0.175, \"(2.99, 3.03)\": 0.137, \"(3.03, 3.07)\": 0.096, \"(3.07, 3.16)\": 0.055, \"(3.16, 3.23)\": -0.064, \"(3.23, 3.25)\": -0.088, \"(3.25, 3.27)\": -0.114, \"(3.27, 3.31)\": -0.145, \"(3.31, 3.36)\": -0.192, \"(3.36, 3.4)\": -0.232, \"(3.4, 3.43)\": -0.269, \"(3.43, 3.45)\": -0.292, \"(3.45, 3.5)\": -0.319, \"(3.5, 3.56)\": -0.379, \"(3.56, 3.59)\": -0.42, \"(3.59, 3.63)\": -0.452, \"(3.63, 3.66)\": -0.477, \"(3.66, 3.71)\": -0.504, \"(3.71, 3.75)\": -0.552, \"(3.75, 3.81)\": -0.596, \"(3.81, 3.88)\": -0.628, \"(3.88, 3.96)\": -0.707, \"(3.96, 3.99)\": -0.739, \"(3.99, 4.05)\": -0.761, \"(4.05, 4.13)\": -0.816, \"(4.13, 4.17)\": -0.838, \"(4.17, 4.22)\": -0.86, \"(4.22, 4.28)\": -0.894, \"(4.28, 4.37)\": -0.915, \"(4.37, 4.46)\": -0.949, \"(4.46, 4.56)\": -0.969, \"(4.56, 4.98)\": -0.99, \"(4.98, 5.06)\": -0.951, \"(5.06, 5.12)\": -0.929, \"(5.12, 5.19)\": -0.907, \"(5.19, 5.28)\": -0.859, \"(5.28, 5.32)\": -0.839, \"(5.32, 5.35)\": -0.813, \"(5.35, 5.39)\": -0.787, \"(5.39, 5.46)\": -0.763, \"(5.46, 5.53)\": -0.708, \"(5.53, 5.57)\": -0.677, \"(5.57, 5.61)\": -0.641, \"(5.61, 5.65)\": -0.615, \"(5.65, 5.68)\": -0.59, \"(5.68, 5.71)\": -0.568, \"(5.71, 5.74)\": -0.53, \"(5.74, 5.77)\": -0.503, \"(5.77, 5.82)\": -0.471, \"(5.82, 5.89)\": -0.417, \"(5.89, 5.95)\": -0.365, \"(5.95, 6.01)\": -0.28, \"(6.01, 6.04)\": -0.259, \"(6.04, 6.11)\": -0.201, \"(6.11, 6.18)\": -0.14, \"(6.18, 6.22)\": -0.089, \"(6.22, 6.27)\": -0.059, \"(6.27, 6.31)\": 0.013, \"(6.31, 6.33)\": 0.035, \"(6.33, 6.36)\": 0.062, \"(6.36, 6.39)\": 0.086, \"(6.39, 6.41)\": 0.106, \"(6.41, 6.46)\": 0.146, \"(6.46, 6.5)\": 0.201, \"(6.5, 6.52)\": 0.224, \"(6.52, 6.56)\": 0.253, \"(6.56, 6.59)\": 0.278, \"(6.59, 6.62)\": 0.31, \"(6.62, 6.66)\": 0.347, \"(6.66, 6.69)\": 0.374, \"(6.69, 6.7)\": 0.398, \"(6.7, 6.74)\": 0.419, \"(6.74, 6.77)\": 0.45, \"(6.77, 6.82)\": 0.485, \"(6.82, 6.87)\": 0.53, \"(6.87, 6.91)\": 0.566, \"(6.91, 6.95)\": 0.599, \"(6.95, 7.02)\": 0.64, \"(7.02, 7.09)\": 0.692, \"(7.09, 7.14)\": 0.734, \"(7.14, 7.18)\": 0.757, \"(7.18, 7.24)\": 0.789, \"(7.24, 7.28)\": 0.824, \"(7.28, 7.35)\": 0.851, \"(7.35, 7.41)\": 0.885, \"(7.41, 7.47)\": 0.907, \"(7.47, 7.54)\": 0.929, \"(7.54, 7.59)\": 0.951, \"(7.59, 7.74)\": 0.972, \"(7.74, 8.09)\": 0.993, \"(8.09, 8.21)\": 0.966, \"(8.21, 8.28)\": 0.927, \"(8.28, 8.32)\": 0.905, \"(8.32, 8.37)\": 0.885, \"(8.37, 8.42)\": 0.86, \"(8.42, 8.47)\": 0.837, \"(8.47, 8.51)\": 0.815, \"(8.51, 8.55)\": 0.779, \"(8.55, 8.59)\": 0.758, \"(8.59, 8.62)\": 0.738, \"(8.62, 8.67)\": 0.709, \"(8.67, 8.71)\": 0.667, \"(8.71, 8.76)\": 0.637, \"(8.76, 8.81)\": 0.596, \"(8.81, 8.86)\": 0.575, \"(8.86, 8.92)\": 0.495, \"(8.92, 8.96)\": 0.47, \"(8.96, 8.98)\": 0.446, \"(8.98, 9.0)\": 0.425, \"(9.0, 9.03)\": 0.405, \"(9.03, 9.06)\": 0.37, \"(9.06, 9.09)\": 0.341, \"(9.09, 9.14)\": 0.32, \"(9.14, 9.19)\": 0.248, \"(9.19, 9.22)\": 0.218, \"(9.22, 9.26)\": 0.195, \"(9.26, 9.29)\": 0.159, \"(9.29, 9.33)\": 0.113, \"(9.33, 9.35)\": 0.088, \"(9.35, 9.39)\": 0.044, \"(9.39, 9.45)\": 0.004, \"(9.45, 9.49)\": -0.041, \"(9.49, 9.51)\": -0.064, \"(9.51, 9.54)\": -0.096, \"(9.54, 9.58)\": -0.129, \"(9.58, 9.6)\": -0.154, \"(9.6, 9.62)\": -0.182, \"(9.62, 9.66)\": -0.21, \"(9.66, 9.68)\": -0.244, \"(9.68, 9.73)\": -0.27, \"(9.73, 9.76)\": -0.309, \"(9.76, 9.79)\": -0.344, \"(9.79, 9.84)\": -0.373, \"(9.84, 9.87)\": -0.41, \"(9.87, 9.9)\": -0.441, \"(9.9, 9.95)\": -0.473, \"(9.95, 10.0)\": -0.526}\n", + "Means: {\"(-9.98, -9.39)\": 1.2574, \"(-9.39, -8.92)\": 1.251, \"(-8.92, -8.48)\": 1.2444, \"(-8.48, -8.05)\": 1.238, \"(-8.05, -7.65)\": 1.2316, \"(-7.65, -7.22)\": 1.2251, \"(-7.22, -6.84)\": 1.2184, \"(-6.84, -6.5)\": 1.212, \"(-6.5, -6.16)\": 1.2055, \"(-6.16, -5.86)\": 1.1991, \"(-5.86, -5.49)\": 1.1925, \"(-5.49, -5.16)\": 1.1846, \"(-5.16, -4.86)\": 1.1779, \"(-4.86, -4.61)\": 1.1713, \"(-4.61, -4.36)\": 1.1645, \"(-4.36, -4.1)\": 1.158, \"(-4.1, -3.88)\": 1.1511, \"(-3.88, -3.65)\": 1.1447, \"(-3.65, -3.42)\": 1.1372, \"(-3.42, -3.23)\": 1.1305, \"(-3.23, -3.06)\": 1.1241, \"(-3.06, -2.88)\": 1.1177, \"(-2.88, -2.71)\": 1.111, \"(-2.71, -2.54)\": 1.1041, \"(-2.54, -2.38)\": 1.0972, \"(-2.38, -2.24)\": 1.0901, \"(-2.24, -2.08)\": 1.0827, \"(-2.08, -1.95)\": 1.0757, \"(-1.95, -1.82)\": 1.0686, \"(-1.82, -1.69)\": 1.06, \"(-1.69, -1.59)\": 1.0536, \"(-1.59, -1.46)\": 1.046, \"(-1.46, -1.36)\": 1.0365, \"(-1.36, -1.27)\": 1.03, \"(-1.27, -1.19)\": 1.0235, \"(-1.19, -1.12)\": 1.0167, \"(-1.12, -1.03)\": 1.0092, \"(-1.03, -0.94)\": 1.0014, \"(-0.94, -0.87)\": 0.9927, \"(-0.87, -0.76)\": 0.9854, \"(-0.76, -0.67)\": 0.9665, \"(-0.67, -0.62)\": 0.9598, \"(-0.62, -0.56)\": 0.9504, \"(-0.56, -0.51)\": 0.9413, \"(-0.51, -0.46)\": 0.9293, \"(-0.46, -0.42)\": 0.9208, \"(-0.42, -0.35)\": 0.9118, \"(-0.35, -0.3)\": 0.8963, \"(-0.3, -0.26)\": 0.8824, \"(-0.26, -0.24)\": 0.869, \"(-0.24, -0.21)\": 0.8624, \"(-0.21, -0.18)\": 0.848, \"(-0.18, -0.16)\": 0.8415, \"(-0.16, -0.14)\": 0.8275, \"(-0.14, -0.1)\": 0.8156, \"(-0.1, -0.04)\": 0.7609, \"(-0.04, -0.01)\": 0.658, \"(-0.01, -0.0)\": 0.6308, \"(-0.0, 0.01)\": 0.6212, \"(0.01, 0.05)\": 0.6801, \"(0.05, 0.09)\": 0.7643, \"(0.09, 0.13)\": 0.8057, \"(0.13, 0.16)\": 0.8262, \"(0.16, 0.18)\": 0.8329, \"(0.18, 0.19)\": 0.8417, \"(0.19, 0.21)\": 0.8499, \"(0.21, 0.24)\": 0.8601, \"(0.24, 0.28)\": 0.8737, \"(0.28, 0.31)\": 0.882, \"(0.31, 0.33)\": 0.8922, \"(0.33, 0.38)\": 0.9003, \"(0.38, 0.43)\": 0.9125, \"(0.43, 0.48)\": 0.9218, \"(0.48, 0.52)\": 0.9325, \"(0.52, 0.58)\": 0.9409, \"(0.58, 0.64)\": 0.9484, \"(0.64, 0.72)\": 0.9614, \"(0.72, 0.77)\": 0.9689, \"(0.77, 0.84)\": 0.9756, \"(0.84, 0.91)\": 0.9832, \"(0.91, 0.99)\": 0.9928, \"(0.99, 1.03)\": 0.9998, \"(1.03, 1.13)\": 1.0064, \"(1.13, 1.22)\": 1.0131, \"(1.22, 1.3)\": 1.0205, \"(1.3, 1.41)\": 1.0283, \"(1.41, 1.52)\": 1.0363, \"(1.52, 1.65)\": 1.0446, \"(1.65, 1.78)\": 1.0526, \"(1.78, 1.9)\": 1.0592, \"(1.9, 2.01)\": 1.0664, \"(2.01, 2.14)\": 1.073, \"(2.14, 2.29)\": 1.0798, \"(2.29, 2.47)\": 1.0876, \"(2.47, 2.63)\": 1.0959, \"(2.63, 2.81)\": 1.1025, \"(2.81, 2.99)\": 1.1098, \"(2.99, 3.21)\": 1.1172, \"(3.21, 3.4)\": 1.1237, \"(3.4, 3.6)\": 1.1302, \"(3.6, 3.85)\": 1.1368, \"(3.85, 4.05)\": 1.1439, \"(4.05, 4.28)\": 1.1505, \"(4.28, 4.54)\": 1.1569, \"(4.54, 4.77)\": 1.1634, \"(4.77, 5.08)\": 1.1699, \"(5.08, 5.39)\": 1.177, \"(5.39, 5.71)\": 1.184, \"(5.71, 6.04)\": 1.1906, \"(6.04, 6.37)\": 1.197, \"(6.37, 6.75)\": 1.2036, \"(6.75, 7.1)\": 1.2101, \"(7.1, 7.48)\": 1.2166, \"(7.48, 7.92)\": 1.2233, \"(7.92, 8.3)\": 1.2298, \"(8.3, 8.79)\": 1.2363, \"(8.79, 9.24)\": 1.2427, \"(9.24, 9.74)\": 1.2493, \"(9.74, 9.99)\": 1.2557}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3765,7 +3125,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3781,13 +3141,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.98, -9.93)\": -0.518, \"(-9.93, -9.88)\": -0.47, \"(-9.88, -9.86)\": -0.436, \"(-9.86, -9.83)\": -0.415, \"(-9.83, -9.81)\": -0.389, \"(-9.81, -9.78)\": -0.363, \"(-9.78, -9.74)\": -0.326, \"(-9.74, -9.72)\": -0.304, \"(-9.72, -9.69)\": -0.28, \"(-9.69, -9.66)\": -0.254, \"(-9.66, -9.63)\": -0.225, \"(-9.63, -9.59)\": -0.183, \"(-9.59, -9.56)\": -0.15, \"(-9.56, -9.51)\": -0.122, \"(-9.51, -9.48)\": -0.079, \"(-9.48, -9.46)\": -0.055, \"(-9.46, -9.44)\": -0.027, \"(-9.44, -9.41)\": -0.006, \"(-9.41, -9.39)\": 0.021, \"(-9.39, -9.36)\": 0.044, \"(-9.36, -9.32)\": 0.072, \"(-9.32, -9.29)\": 0.12, \"(-9.29, -9.24)\": 0.157, \"(-9.24, -9.2)\": 0.206, \"(-9.2, -9.17)\": 0.233, \"(-9.17, -9.14)\": 0.257, \"(-9.14, -9.11)\": 0.291, \"(-9.11, -9.08)\": 0.32, \"(-9.08, -9.04)\": 0.346, \"(-9.04, -8.99)\": 0.4, \"(-8.99, -8.93)\": 0.436, \"(-8.93, -8.87)\": 0.503, \"(-8.87, -8.84)\": 0.527, \"(-8.84, -8.82)\": 0.554, \"(-8.82, -8.78)\": 0.575, \"(-8.78, -8.73)\": 0.615, \"(-8.73, -8.69)\": 0.651, \"(-8.69, -8.65)\": 0.677, \"(-8.65, -8.61)\": 0.712, \"(-8.61, -8.58)\": 0.733, \"(-8.58, -8.53)\": 0.755, \"(-8.53, -8.48)\": 0.788, \"(-8.48, -8.42)\": 0.821, \"(-8.42, -8.38)\": 0.846, \"(-8.38, -8.33)\": 0.869, \"(-8.33, -8.27)\": 0.896, \"(-8.27, -8.22)\": 0.916, \"(-8.22, -8.13)\": 0.938, \"(-8.13, -7.98)\": 0.972, \"(-7.98, -7.64)\": 0.994, \"(-7.64, -7.55)\": 0.974, \"(-7.55, -7.48)\": 0.951, \"(-7.48, -7.41)\": 0.922, \"(-7.41, -7.35)\": 0.898, \"(-7.35, -7.33)\": 0.872, \"(-7.33, -7.28)\": 0.852, \"(-7.28, -7.23)\": 0.824, \"(-7.23, -7.18)\": 0.798, \"(-7.18, -7.15)\": 0.776, \"(-7.15, -7.11)\": 0.753, \"(-7.11, -7.05)\": 0.72, \"(-7.05, -7.01)\": 0.684, \"(-7.01, -6.98)\": 0.658, \"(-6.98, -6.95)\": 0.632, \"(-6.95, -6.9)\": 0.601, \"(-6.9, -6.87)\": 0.563, \"(-6.87, -6.84)\": 0.539, \"(-6.84, -6.8)\": 0.515, \"(-6.8, -6.76)\": 0.483, \"(-6.76, -6.73)\": 0.459, \"(-6.73, -6.69)\": 0.424, \"(-6.69, -6.63)\": 0.382, \"(-6.63, -6.58)\": 0.308, \"(-6.58, -6.55)\": 0.284, \"(-6.55, -6.51)\": 0.243, \"(-6.51, -6.48)\": 0.213, \"(-6.48, -6.45)\": 0.184, \"(-6.45, -6.43)\": 0.155, \"(-6.43, -6.4)\": 0.131, \"(-6.4, -6.37)\": 0.105, \"(-6.37, -6.34)\": 0.081, \"(-6.34, -6.31)\": 0.048, \"(-6.31, -6.28)\": 0.014, \"(-6.28, -6.25)\": -0.01, \"(-6.25, -6.24)\": -0.036, \"(-6.24, -6.2)\": -0.057, \"(-6.2, -6.18)\": -0.086, \"(-6.18, -6.16)\": -0.116, \"(-6.16, -6.13)\": -0.139, \"(-6.13, -6.11)\": -0.165, \"(-6.11, -6.08)\": -0.185, \"(-6.08, -6.04)\": -0.217, \"(-6.04, -6.02)\": -0.242, \"(-6.02, -5.99)\": -0.271, \"(-5.99, -5.96)\": -0.304, \"(-5.96, -5.92)\": -0.337, \"(-5.92, -5.89)\": -0.359, \"(-5.89, -5.85)\": -0.397, \"(-5.85, -5.83)\": -0.43, \"(-5.83, -5.8)\": -0.452, \"(-5.8, -5.76)\": -0.476, \"(-5.76, -5.74)\": -0.5, \"(-5.74, -5.7)\": -0.527, \"(-5.7, -5.64)\": -0.571, \"(-5.64, -5.6)\": -0.608, \"(-5.6, -5.55)\": -0.64, \"(-5.55, -5.5)\": -0.682, \"(-5.5, -5.47)\": -0.706, \"(-5.47, -5.41)\": -0.738, \"(-5.41, -5.33)\": -0.789, \"(-5.33, -5.3)\": -0.811, \"(-5.3, -5.27)\": -0.836, \"(-5.27, -5.21)\": -0.859, \"(-5.21, -5.15)\": -0.881, \"(-5.15, -5.09)\": -0.908, \"(-5.09, -5.0)\": -0.933, \"(-5.0, -4.88)\": -0.965, \"(-4.88, -4.45)\": -0.986, \"(-4.45, -4.39)\": -0.961, \"(-4.39, -4.29)\": -0.932, \"(-4.29, -4.24)\": -0.91, \"(-4.24, -4.18)\": -0.886, \"(-4.18, -4.13)\": -0.851, \"(-4.13, -4.1)\": -0.83, \"(-4.1, -4.04)\": -0.809, \"(-4.04, -4.0)\": -0.782, \"(-4.0, -3.95)\": -0.747, \"(-3.95, -3.89)\": -0.702, \"(-3.89, -3.84)\": -0.657, \"(-3.84, -3.78)\": -0.633, \"(-3.78, -3.72)\": -0.567, \"(-3.72, -3.69)\": -0.538, \"(-3.69, -3.64)\": -0.505, \"(-3.64, -3.59)\": -0.458, \"(-3.59, -3.55)\": -0.416, \"(-3.55, -3.51)\": -0.388, \"(-3.51, -3.44)\": -0.338, \"(-3.44, -3.4)\": -0.27, \"(-3.4, -3.37)\": -0.248, \"(-3.37, -3.34)\": -0.213, \"(-3.34, -3.3)\": -0.184, \"(-3.3, -3.27)\": -0.154, \"(-3.27, -3.24)\": -0.117, \"(-3.24, -3.2)\": -0.094, \"(-3.2, -3.15)\": -0.043, \"(-3.15, -3.11)\": 0.008, \"(-3.11, -3.06)\": 0.048, \"(-3.06, -3.01)\": 0.102, \"(-3.01, -2.96)\": 0.166, \"(-2.96, -2.94)\": 0.191, \"(-2.94, -2.91)\": 0.215, \"(-2.91, -2.88)\": 0.236, \"(-2.88, -2.85)\": 0.272, \"(-2.85, -2.82)\": 0.308, \"(-2.82, -2.78)\": 0.329, \"(-2.78, -2.74)\": 0.375, \"(-2.74, -2.72)\": 0.397, \"(-2.72, -2.69)\": 0.417, \"(-2.69, -2.65)\": 0.458, \"(-2.65, -2.6)\": 0.489, \"(-2.6, -2.56)\": 0.54, \"(-2.56, -2.51)\": 0.565, \"(-2.51, -2.43)\": 0.631, \"(-2.43, -2.39)\": 0.667, \"(-2.39, -2.35)\": 0.689, \"(-2.35, -2.29)\": 0.722, \"(-2.29, -2.25)\": 0.761, \"(-2.25, -2.21)\": 0.783, \"(-2.21, -2.18)\": 0.803, \"(-2.18, -2.13)\": 0.829, \"(-2.13, -2.09)\": 0.851, \"(-2.09, -2.04)\": 0.872, \"(-2.04, -1.99)\": 0.895, \"(-1.99, -1.9)\": 0.923, \"(-1.9, -1.8)\": 0.952, \"(-1.8, -1.68)\": 0.973, \"(-1.68, -1.36)\": 0.995, \"(-1.36, -1.22)\": 0.97, \"(-1.22, -1.12)\": 0.925, \"(-1.12, -1.06)\": 0.891, \"(-1.06, -1.02)\": 0.868, \"(-1.02, -0.96)\": 0.84, \"(-0.96, -0.91)\": 0.807, \"(-0.91, -0.87)\": 0.784, \"(-0.87, -0.83)\": 0.762, \"(-0.83, -0.79)\": 0.726, \"(-0.79, -0.75)\": 0.697, \"(-0.75, -0.71)\": 0.677, \"(-0.71, -0.68)\": 0.645, \"(-0.68, -0.64)\": 0.619, \"(-0.64, -0.62)\": 0.595, \"(-0.62, -0.59)\": 0.575, \"(-0.59, -0.57)\": 0.545, \"(-0.57, -0.52)\": 0.523, \"(-0.52, -0.48)\": 0.492, \"(-0.48, -0.42)\": 0.438, \"(-0.42, -0.37)\": 0.382, \"(-0.37, -0.33)\": 0.355, \"(-0.33, -0.3)\": 0.314, \"(-0.3, -0.27)\": 0.292, \"(-0.27, -0.23)\": 0.256, \"(-0.23, -0.19)\": 0.207, \"(-0.19, -0.16)\": 0.181, \"(-0.16, -0.13)\": 0.146, \"(-0.13, -0.08)\": 0.113, \"(-0.08, -0.05)\": 0.078, \"(-0.05, -0.01)\": 0.024, \"(-0.01, 0.02)\": -0.003, \"(0.02, 0.05)\": -0.036, \"(0.05, 0.08)\": -0.065, \"(0.08, 0.11)\": -0.086, \"(0.11, 0.15)\": -0.124, \"(0.15, 0.18)\": -0.171, \"(0.18, 0.21)\": -0.192, \"(0.21, 0.26)\": -0.226, \"(0.26, 0.31)\": -0.288, \"(0.31, 0.34)\": -0.317, \"(0.34, 0.37)\": -0.347, \"(0.37, 0.41)\": -0.372, \"(0.41, 0.46)\": -0.415, \"(0.46, 0.5)\": -0.46, \"(0.5, 0.53)\": -0.493, \"(0.53, 0.56)\": -0.516, \"(0.56, 0.58)\": -0.538, \"(0.58, 0.62)\": -0.56, \"(0.62, 0.65)\": -0.586, \"(0.65, 0.68)\": -0.611, \"(0.68, 0.72)\": -0.638, \"(0.72, 0.76)\": -0.659, \"(0.76, 0.83)\": -0.717, \"(0.83, 0.89)\": -0.739, \"(0.89, 0.96)\": -0.8, \"(0.96, 1.01)\": -0.822, \"(1.01, 1.05)\": -0.849, \"(1.05, 1.12)\": -0.874, \"(1.12, 1.2)\": -0.908, \"(1.2, 1.27)\": -0.935, \"(1.27, 1.37)\": -0.959, \"(1.37, 1.86)\": -0.981, \"(1.86, 1.94)\": -0.952, \"(1.94, 2.02)\": -0.931, \"(2.02, 2.1)\": -0.885, \"(2.1, 2.13)\": -0.863, \"(2.13, 2.19)\": -0.842, \"(2.19, 2.24)\": -0.807, \"(2.24, 2.27)\": -0.781, \"(2.27, 2.33)\": -0.758, \"(2.33, 2.37)\": -0.712, \"(2.37, 2.41)\": -0.683, \"(2.41, 2.46)\": -0.661, \"(2.46, 2.51)\": -0.624, \"(2.51, 2.57)\": -0.56, \"(2.57, 2.61)\": -0.528, \"(2.61, 2.63)\": -0.503, \"(2.63, 2.67)\": -0.475, \"(2.67, 2.71)\": -0.432, \"(2.71, 2.75)\": -0.408, \"(2.75, 2.79)\": -0.369, \"(2.79, 2.82)\": -0.336, \"(2.82, 2.85)\": -0.305, \"(2.85, 2.88)\": -0.273, \"(2.88, 2.9)\": -0.251, \"(2.9, 2.92)\": -0.23, \"(2.92, 2.96)\": -0.205, \"(2.96, 3.04)\": -0.16, \"(3.04, 3.13)\": -0.05, \"(3.13, 3.17)\": 0.01, \"(3.17, 3.22)\": 0.053, \"(3.22, 3.26)\": 0.105, \"(3.26, 3.29)\": 0.138, \"(3.29, 3.33)\": 0.166, \"(3.33, 3.35)\": 0.191, \"(3.35, 3.38)\": 0.216, \"(3.38, 3.42)\": 0.249, \"(3.42, 3.45)\": 0.283, \"(3.45, 3.51)\": 0.336, \"(3.51, 3.53)\": 0.367, \"(3.53, 3.56)\": 0.394, \"(3.56, 3.59)\": 0.417, \"(3.59, 3.63)\": 0.45, \"(3.63, 3.66)\": 0.483, \"(3.66, 3.71)\": 0.511, \"(3.71, 3.77)\": 0.561, \"(3.77, 3.83)\": 0.605, \"(3.83, 3.89)\": 0.646, \"(3.89, 3.96)\": 0.707, \"(3.96, 4.03)\": 0.749, \"(4.03, 4.08)\": 0.788, \"(4.08, 4.11)\": 0.81, \"(4.11, 4.17)\": 0.833, \"(4.17, 4.29)\": 0.876, \"(4.29, 4.36)\": 0.927, \"(4.36, 4.47)\": 0.947, \"(4.47, 4.58)\": 0.973, \"(4.58, 4.93)\": 0.993, \"(4.93, 5.04)\": 0.973, \"(5.04, 5.11)\": 0.938, \"(5.11, 5.17)\": 0.917, \"(5.17, 5.22)\": 0.894, \"(5.22, 5.3)\": 0.862, \"(5.3, 5.34)\": 0.824, \"(5.34, 5.39)\": 0.804, \"(5.39, 5.43)\": 0.779, \"(5.43, 5.46)\": 0.75, \"(5.46, 5.48)\": 0.73, \"(5.48, 5.54)\": 0.704, \"(5.54, 5.57)\": 0.667, \"(5.57, 5.64)\": 0.631, \"(5.64, 5.68)\": 0.588, \"(5.68, 5.69)\": 0.567, \"(5.69, 5.73)\": 0.542, \"(5.73, 5.77)\": 0.511, \"(5.77, 5.81)\": 0.475, \"(5.81, 5.82)\": 0.454, \"(5.82, 5.86)\": 0.431, \"(5.86, 5.91)\": 0.398, \"(5.91, 5.96)\": 0.337, \"(5.96, 6.0)\": 0.298, \"(6.0, 6.03)\": 0.272, \"(6.03, 6.08)\": 0.23, \"(6.08, 6.11)\": 0.189, \"(6.11, 6.14)\": 0.165, \"(6.14, 6.17)\": 0.125, \"(6.17, 6.19)\": 0.102, \"(6.19, 6.23)\": 0.077, \"(6.23, 6.25)\": 0.048, \"(6.25, 6.28)\": 0.025, \"(6.28, 6.31)\": -0.01, \"(6.31, 6.34)\": -0.031, \"(6.34, 6.37)\": -0.074, \"(6.37, 6.39)\": -0.095, \"(6.39, 6.43)\": -0.123, \"(6.43, 6.49)\": -0.179, \"(6.49, 6.53)\": -0.228, \"(6.53, 6.56)\": -0.251, \"(6.56, 6.58)\": -0.281, \"(6.58, 6.62)\": -0.309, \"(6.62, 6.65)\": -0.331, \"(6.65, 6.68)\": -0.361, \"(6.68, 6.71)\": -0.404, \"(6.71, 6.75)\": -0.432, \"(6.75, 6.79)\": -0.463, \"(6.79, 6.83)\": -0.485, \"(6.83, 6.89)\": -0.541, \"(6.89, 6.92)\": -0.58, \"(6.92, 6.95)\": -0.601, \"(6.95, 6.99)\": -0.624, \"(6.99, 7.05)\": -0.662, \"(7.05, 7.11)\": -0.708, \"(7.11, 7.15)\": -0.747, \"(7.15, 7.19)\": -0.77, \"(7.19, 7.23)\": -0.795, \"(7.23, 7.27)\": -0.818, \"(7.27, 7.33)\": -0.848, \"(7.33, 7.38)\": -0.872, \"(7.38, 7.42)\": -0.894, \"(7.42, 7.51)\": -0.915, \"(7.51, 7.56)\": -0.944, \"(7.56, 7.68)\": -0.965, \"(7.68, 8.12)\": -0.985, \"(8.12, 8.23)\": -0.96, \"(8.23, 8.33)\": -0.909, \"(8.33, 8.38)\": -0.882, \"(8.38, 8.43)\": -0.853, \"(8.43, 8.47)\": -0.826, \"(8.47, 8.51)\": -0.805, \"(8.51, 8.55)\": -0.784, \"(8.55, 8.59)\": -0.753, \"(8.59, 8.63)\": -0.73, \"(8.63, 8.69)\": -0.707, \"(8.69, 8.74)\": -0.659, \"(8.74, 8.81)\": -0.605, \"(8.81, 8.88)\": -0.546, \"(8.88, 8.92)\": -0.502, \"(8.92, 8.97)\": -0.455, \"(8.97, 9.0)\": -0.431, \"(9.0, 9.03)\": -0.404, \"(9.03, 9.06)\": -0.378, \"(9.06, 9.11)\": -0.336, \"(9.11, 9.18)\": -0.285, \"(9.18, 9.24)\": -0.208, \"(9.24, 9.29)\": -0.177, \"(9.29, 9.33)\": -0.112, \"(9.33, 9.37)\": -0.085, \"(9.37, 9.42)\": -0.034, \"(9.42, 9.45)\": -0.004, \"(9.45, 9.49)\": 0.034, \"(9.49, 9.56)\": 0.071, \"(9.56, 9.62)\": 0.177, \"(9.62, 9.65)\": 0.201, \"(9.65, 9.68)\": 0.241, \"(9.68, 9.72)\": 0.265, \"(9.72, 9.78)\": 0.322, \"(9.78, 9.82)\": 0.356, \"(9.82, 9.87)\": 0.408, \"(9.87, 9.9)\": 0.434, \"(9.9, 9.96)\": 0.489, \"(9.96, 9.98)\": 0.517}\n", + "Means: {\"(-9.98, -9.95)\": 1.524, \"(-9.95, -9.91)\": 1.492, \"(-9.91, -9.88)\": 1.436, \"(-9.88, -9.86)\": 1.404, \"(-9.86, -9.83)\": 1.368, \"(-9.83, -9.81)\": 1.334, \"(-9.81, -9.79)\": 1.281, \"(-9.79, -9.77)\": 1.225, \"(-9.77, -9.74)\": 1.138, \"(-9.74, -9.69)\": 1.102, \"(-9.69, -9.63)\": 0.829, \"(-9.63, -9.63)\": 0.784, \"(-9.63, -9.62)\": 0.752, \"(-9.62, -9.58)\": 0.709, \"(-9.58, -9.55)\": 0.542, \"(-9.55, -9.53)\": 0.448, \"(-9.53, -9.52)\": 0.381, \"(-9.52, -9.5)\": 0.349, \"(-9.5, -9.48)\": 0.254, \"(-9.48, -9.46)\": 0.212, \"(-9.46, -9.45)\": 0.133, \"(-9.45, -9.43)\": 0.067, \"(-9.43, -9.43)\": 0.021, \"(-9.43, -9.4)\": -0.018, \"(-9.4, -9.38)\": -0.142, \"(-9.38, -9.36)\": -0.229, \"(-9.36, -9.35)\": -0.281, \"(-9.35, -9.33)\": -0.342, \"(-9.33, -9.33)\": -0.373, \"(-9.33, -9.3)\": -0.417, \"(-9.3, -9.28)\": -0.557, \"(-9.28, -9.27)\": -0.588, \"(-9.27, -9.26)\": -0.629, \"(-9.26, -9.23)\": -0.671, \"(-9.23, -9.18)\": -0.823, \"(-9.18, -9.14)\": -0.998, \"(-9.14, -9.12)\": -1.031, \"(-9.12, -9.1)\": -1.108, \"(-9.1, -9.07)\": -1.183, \"(-9.07, -9.06)\": -1.236, \"(-9.06, -9.03)\": -1.269, \"(-9.03, -9.0)\": -1.329, \"(-9.0, -8.97)\": -1.398, \"(-8.97, -8.94)\": -1.44, \"(-8.94, -8.89)\": -1.484, \"(-8.89, -8.69)\": -1.519, \"(-8.69, -8.66)\": -1.467, \"(-8.66, -8.62)\": -1.419, \"(-8.62, -8.58)\": -1.354, \"(-8.58, -8.56)\": -1.303, \"(-8.56, -8.51)\": -1.236, \"(-8.51, -8.46)\": -1.116, \"(-8.46, -8.42)\": -1.05, \"(-8.42, -8.38)\": -0.909, \"(-8.38, -8.35)\": -0.833, \"(-8.35, -8.31)\": -0.766, \"(-8.31, -8.27)\": -0.637, \"(-8.27, -8.24)\": -0.566, \"(-8.24, -8.22)\": -0.512, \"(-8.22, -8.21)\": -0.475, \"(-8.21, -8.19)\": -0.419, \"(-8.19, -8.17)\": -0.385, \"(-8.17, -8.14)\": -0.35, \"(-8.14, -8.1)\": -0.264, \"(-8.1, -8.08)\": -0.231, \"(-8.08, -8.04)\": -0.166, \"(-8.04, -7.99)\": -0.118, \"(-7.99, -7.92)\": -0.052, \"(-7.92, -7.76)\": -0.012, \"(-7.76, -7.69)\": -0.058, \"(-7.69, -7.65)\": -0.14, \"(-7.65, -7.62)\": -0.178, \"(-7.62, -7.6)\": -0.224, \"(-7.6, -7.58)\": -0.259, \"(-7.58, -7.54)\": -0.294, \"(-7.54, -7.5)\": -0.406, \"(-7.5, -7.47)\": -0.492, \"(-7.47, -7.44)\": -0.546, \"(-7.44, -7.42)\": -0.598, \"(-7.42, -7.39)\": -0.683, \"(-7.39, -7.37)\": -0.728, \"(-7.37, -7.35)\": -0.781, \"(-7.35, -7.33)\": -0.845, \"(-7.33, -7.3)\": -0.876, \"(-7.3, -7.26)\": -1.001, \"(-7.26, -7.22)\": -1.081, \"(-7.22, -7.19)\": -1.16, \"(-7.19, -7.16)\": -1.23, \"(-7.16, -7.14)\": -1.272, \"(-7.14, -7.11)\": -1.317, \"(-7.11, -7.08)\": -1.366, \"(-7.08, -7.05)\": -1.402, \"(-7.05, -7.0)\": -1.458, \"(-7.0, -6.95)\": -1.5, \"(-6.95, -6.81)\": -1.535, \"(-6.81, -6.76)\": -1.495, \"(-6.76, -6.73)\": -1.434, \"(-6.73, -6.7)\": -1.398, \"(-6.7, -6.68)\": -1.334, \"(-6.68, -6.62)\": -1.281, \"(-6.62, -6.57)\": -1.048, \"(-6.57, -6.52)\": -0.978, \"(-6.52, -6.47)\": -0.745, \"(-6.47, -6.45)\": -0.701, \"(-6.45, -6.44)\": -0.631, \"(-6.44, -6.43)\": -0.6, \"(-6.43, -6.39)\": -0.494, \"(-6.39, -6.34)\": -0.342, \"(-6.34, -6.31)\": -0.132, \"(-6.31, -6.3)\": -0.072, \"(-6.3, -6.28)\": -0.019, \"(-6.28, -6.26)\": 0.083, \"(-6.26, -6.25)\": 0.118, \"(-6.25, -6.23)\": 0.181, \"(-6.23, -6.22)\": 0.25, \"(-6.22, -6.2)\": 0.293, \"(-6.2, -6.19)\": 0.349, \"(-6.19, -6.15)\": 0.409, \"(-6.15, -6.12)\": 0.609, \"(-6.12, -6.1)\": 0.656, \"(-6.1, -6.07)\": 0.769, \"(-6.07, -6.06)\": 0.81, \"(-6.06, -6.05)\": 0.849, \"(-6.05, -6.02)\": 0.917, \"(-6.02, -5.98)\": 1.037, \"(-5.98, -5.92)\": 1.146, \"(-5.92, -5.84)\": 1.34, \"(-5.84, -5.78)\": 1.419, \"(-5.78, -5.55)\": 1.507, \"(-5.55, -5.51)\": 1.463, \"(-5.51, -5.48)\": 1.427, \"(-5.48, -5.42)\": 1.365, \"(-5.42, -5.37)\": 1.219, \"(-5.37, -5.34)\": 1.177, \"(-5.34, -5.31)\": 1.084, \"(-5.31, -5.28)\": 1.023, \"(-5.28, -5.26)\": 0.951, \"(-5.26, -5.23)\": 0.894, \"(-5.23, -5.21)\": 0.83, \"(-5.21, -5.19)\": 0.778, \"(-5.19, -5.17)\": 0.726, \"(-5.17, -5.14)\": 0.673, \"(-5.14, -5.07)\": 0.626, \"(-5.07, -4.97)\": 0.323, \"(-4.97, -4.9)\": 0.195, \"(-4.9, -4.84)\": 0.102, \"(-4.84, -4.79)\": 0.058, \"(-4.79, -4.61)\": 0.009, \"(-4.61, -4.54)\": 0.068, \"(-4.54, -4.5)\": 0.144, \"(-4.5, -4.47)\": 0.197, \"(-4.47, -4.44)\": 0.236, \"(-4.44, -4.42)\": 0.298, \"(-4.42, -4.4)\": 0.33, \"(-4.4, -4.38)\": 0.371, \"(-4.38, -4.36)\": 0.425, \"(-4.36, -4.34)\": 0.461, \"(-4.34, -4.32)\": 0.514, \"(-4.32, -4.31)\": 0.547, \"(-4.31, -4.29)\": 0.591, \"(-4.29, -4.25)\": 0.632, \"(-4.25, -4.21)\": 0.765, \"(-4.21, -4.18)\": 0.82, \"(-4.18, -4.15)\": 0.958, \"(-4.15, -4.1)\": 0.994, \"(-4.1, -4.05)\": 1.168, \"(-4.05, -4.03)\": 1.215, \"(-4.03, -3.99)\": 1.259, \"(-3.99, -3.95)\": 1.331, \"(-3.95, -3.91)\": 1.398, \"(-3.91, -3.86)\": 1.451, \"(-3.86, -3.64)\": 1.51, \"(-3.64, -3.6)\": 1.464, \"(-3.6, -3.58)\": 1.416, \"(-3.58, -3.55)\": 1.365, \"(-3.55, -3.53)\": 1.328, \"(-3.53, -3.48)\": 1.24, \"(-3.48, -3.43)\": 1.119, \"(-3.43, -3.39)\": 0.961, \"(-3.39, -3.36)\": 0.887, \"(-3.36, -3.31)\": 0.731, \"(-3.31, -3.27)\": 0.591, \"(-3.27, -3.24)\": 0.441, \"(-3.24, -3.23)\": 0.361, \"(-3.23, -3.2)\": 0.323, \"(-3.2, -3.17)\": 0.15, \"(-3.17, -3.15)\": 0.074, \"(-3.15, -3.11)\": -0.044, \"(-3.11, -3.09)\": -0.205, \"(-3.09, -3.07)\": -0.238, \"(-3.07, -3.03)\": -0.344, \"(-3.03, -3.0)\": -0.489, \"(-3.0, -2.98)\": -0.6, \"(-2.98, -2.96)\": -0.648, \"(-2.96, -2.93)\": -0.73, \"(-2.93, -2.9)\": -0.868, \"(-2.9, -2.88)\": -0.942, \"(-2.88, -2.84)\": -1.011, \"(-2.84, -2.78)\": -1.152, \"(-2.78, -2.72)\": -1.305, \"(-2.72, -2.69)\": -1.389, \"(-2.69, -2.64)\": -1.442, \"(-2.64, -2.61)\": -1.477, \"(-2.61, -2.41)\": -1.511, \"(-2.41, -2.38)\": -1.473, \"(-2.38, -2.35)\": -1.428, \"(-2.35, -2.32)\": -1.371, \"(-2.32, -2.3)\": -1.339, \"(-2.3, -2.27)\": -1.291, \"(-2.27, -2.24)\": -1.229, \"(-2.24, -2.22)\": -1.17, \"(-2.22, -2.18)\": -1.121, \"(-2.18, -2.13)\": -1.014, \"(-2.13, -2.1)\": -0.894, \"(-2.1, -2.08)\": -0.859, \"(-2.08, -2.07)\": -0.827, \"(-2.07, -2.04)\": -0.773, \"(-2.04, -2.03)\": -0.735, \"(-2.03, -1.99)\": -0.683, \"(-1.99, -1.96)\": -0.567, \"(-1.96, -1.93)\": -0.498, \"(-1.93, -1.9)\": -0.434, \"(-1.9, -1.85)\": -0.359, \"(-1.85, -1.79)\": -0.263, \"(-1.79, -1.72)\": -0.135, \"(-1.72, -1.69)\": -0.076, \"(-1.69, -1.63)\": -0.044, \"(-1.63, -1.46)\": -0.009, \"(-1.46, -1.42)\": -0.054, \"(-1.42, -1.38)\": -0.115, \"(-1.38, -1.36)\": -0.147, \"(-1.36, -1.33)\": -0.178, \"(-1.33, -1.31)\": -0.217, \"(-1.31, -1.28)\": -0.271, \"(-1.28, -1.26)\": -0.321, \"(-1.26, -1.23)\": -0.381, \"(-1.23, -1.2)\": -0.463, \"(-1.2, -1.17)\": -0.515, \"(-1.17, -1.15)\": -0.566, \"(-1.15, -1.11)\": -0.631, \"(-1.11, -1.06)\": -0.794, \"(-1.06, -1.03)\": -0.885, \"(-1.03, -1.02)\": -0.92, \"(-1.02, -0.99)\": -0.964, \"(-0.99, -0.95)\": -1.082, \"(-0.95, -0.92)\": -1.138, \"(-0.92, -0.89)\": -1.185, \"(-0.89, -0.86)\": -1.261, \"(-0.86, -0.85)\": -1.296, \"(-0.85, -0.82)\": -1.328, \"(-0.82, -0.8)\": -1.378, \"(-0.8, -0.77)\": -1.409, \"(-0.77, -0.72)\": -1.447, \"(-0.72, -0.5)\": -1.522, \"(-0.5, -0.46)\": -1.454, \"(-0.46, -0.44)\": -1.418, \"(-0.44, -0.42)\": -1.386, \"(-0.42, -0.39)\": -1.336, \"(-0.39, -0.36)\": -1.268, \"(-0.36, -0.29)\": -1.195, \"(-0.29, -0.21)\": -0.905, \"(-0.21, -0.19)\": -0.78, \"(-0.19, -0.18)\": -0.722, \"(-0.18, -0.15)\": -0.655, \"(-0.15, -0.13)\": -0.57, \"(-0.13, -0.12)\": -0.487, \"(-0.12, -0.1)\": -0.428, \"(-0.1, -0.09)\": -0.387, \"(-0.09, -0.07)\": -0.308, \"(-0.07, -0.05)\": -0.261, \"(-0.05, -0.02)\": -0.119, \"(-0.02, -0.01)\": -0.077, \"(-0.01, 0.01)\": -0.006, \"(0.01, 0.04)\": 0.104, \"(0.04, 0.06)\": 0.186, \"(0.06, 0.07)\": 0.263, \"(0.07, 0.08)\": 0.308, \"(0.08, 0.11)\": 0.356, \"(0.11, 0.14)\": 0.516, \"(0.14, 0.17)\": 0.581, \"(0.17, 0.21)\": 0.765, \"(0.21, 0.22)\": 0.805, \"(0.22, 0.25)\": 0.838, \"(0.25, 0.3)\": 1.038, \"(0.3, 0.35)\": 1.111, \"(0.35, 0.4)\": 1.282, \"(0.4, 0.44)\": 1.365, \"(0.44, 0.48)\": 1.418, \"(0.48, 0.53)\": 1.476, \"(0.53, 0.74)\": 1.513, \"(0.74, 0.77)\": 1.468, \"(0.77, 0.8)\": 1.412, \"(0.8, 0.82)\": 1.377, \"(0.82, 0.85)\": 1.337, \"(0.85, 0.86)\": 1.306, \"(0.86, 0.9)\": 1.259, \"(0.9, 0.91)\": 1.212, \"(0.91, 0.93)\": 1.171, \"(0.93, 0.95)\": 1.126, \"(0.95, 0.99)\": 1.056, \"(0.99, 1.02)\": 0.972, \"(1.02, 1.04)\": 0.929, \"(1.04, 1.05)\": 0.886, \"(1.05, 1.06)\": 0.853, \"(1.06, 1.08)\": 0.815, \"(1.08, 1.11)\": 0.741, \"(1.11, 1.16)\": 0.675, \"(1.16, 1.19)\": 0.533, \"(1.19, 1.22)\": 0.484, \"(1.22, 1.24)\": 0.446, \"(1.24, 1.26)\": 0.371, \"(1.26, 1.28)\": 0.333, \"(1.28, 1.3)\": 0.292, \"(1.3, 1.35)\": 0.244, \"(1.35, 1.42)\": 0.121, \"(1.42, 1.48)\": 0.068, \"(1.48, 1.69)\": 0.031, \"(1.69, 1.75)\": 0.068, \"(1.75, 1.79)\": 0.165, \"(1.79, 1.82)\": 0.205, \"(1.82, 1.85)\": 0.262, \"(1.85, 1.86)\": 0.295, \"(1.86, 1.88)\": 0.335, \"(1.88, 1.9)\": 0.369, \"(1.9, 1.92)\": 0.406, \"(1.92, 1.93)\": 0.445, \"(1.93, 1.95)\": 0.477, \"(1.95, 1.99)\": 0.53, \"(1.99, 2.03)\": 0.665, \"(2.03, 2.05)\": 0.739, \"(2.05, 2.07)\": 0.777, \"(2.07, 2.1)\": 0.816, \"(2.1, 2.16)\": 0.91, \"(2.16, 2.21)\": 1.086, \"(2.21, 2.24)\": 1.17, \"(2.24, 2.29)\": 1.245, \"(2.29, 2.32)\": 1.333, \"(2.32, 2.35)\": 1.364, \"(2.35, 2.36)\": 1.405, \"(2.36, 2.39)\": 1.439, \"(2.39, 2.44)\": 1.473, \"(2.44, 2.63)\": 1.51, \"(2.63, 2.67)\": 1.475, \"(2.67, 2.71)\": 1.394, \"(2.71, 2.73)\": 1.355, \"(2.73, 2.79)\": 1.304, \"(2.79, 2.86)\": 1.103, \"(2.86, 2.89)\": 0.977, \"(2.89, 2.91)\": 0.897, \"(2.91, 2.93)\": 0.842, \"(2.93, 2.97)\": 0.781, \"(2.97, 3.01)\": 0.573, \"(3.01, 3.04)\": 0.451, \"(3.04, 3.06)\": 0.349, \"(3.06, 3.08)\": 0.304, \"(3.08, 3.11)\": 0.154, \"(3.11, 3.13)\": 0.082, \"(3.13, 3.15)\": 0.006, \"(3.15, 3.18)\": -0.109, \"(3.18, 3.19)\": -0.173, \"(3.19, 3.2)\": -0.208, \"(3.2, 3.22)\": -0.273, \"(3.22, 3.23)\": -0.317, \"(3.23, 3.24)\": -0.379, \"(3.24, 3.29)\": -0.426, \"(3.29, 3.36)\": -0.747, \"(3.36, 3.38)\": -0.878, \"(3.38, 3.4)\": -0.932, \"(3.4, 3.43)\": -0.979, \"(3.43, 3.46)\": -1.069, \"(3.46, 3.47)\": -1.141, \"(3.47, 3.48)\": -1.175, \"(3.48, 3.51)\": -1.207, \"(3.51, 3.54)\": -1.281, \"(3.54, 3.57)\": -1.335, \"(3.57, 3.62)\": -1.398, \"(3.62, 3.91)\": -1.483, \"(3.91, 3.96)\": -1.408, \"(3.96, 3.99)\": -1.346, \"(3.99, 4.04)\": -1.282, \"(4.04, 4.09)\": -1.154, \"(4.09, 4.14)\": -1.045, \"(4.14, 4.2)\": -0.927, \"(4.2, 4.25)\": -0.724, \"(4.25, 4.29)\": -0.68, \"(4.29, 4.34)\": -0.563, \"(4.34, 4.37)\": -0.463, \"(4.37, 4.39)\": -0.403, \"(4.39, 4.42)\": -0.354, \"(4.42, 4.44)\": -0.302, \"(4.44, 4.47)\": -0.27, \"(4.47, 4.51)\": -0.188, \"(4.51, 4.55)\": -0.142, \"(4.55, 4.59)\": -0.083, \"(4.59, 4.67)\": -0.045, \"(4.67, 4.81)\": -0.006, \"(4.81, 4.85)\": -0.043, \"(4.85, 4.87)\": -0.08, \"(4.87, 4.91)\": -0.117, \"(4.91, 4.95)\": -0.195, \"(4.95, 4.97)\": -0.226, \"(4.97, 5.01)\": -0.284, \"(5.01, 5.05)\": -0.389, \"(5.05, 5.08)\": -0.431, \"(5.08, 5.1)\": -0.507, \"(5.1, 5.12)\": -0.548, \"(5.12, 5.15)\": -0.591, \"(5.15, 5.17)\": -0.693, \"(5.17, 5.21)\": -0.733, \"(5.21, 5.25)\": -0.864, \"(5.25, 5.27)\": -0.933, \"(5.27, 5.32)\": -0.987, \"(5.32, 5.37)\": -1.149, \"(5.37, 5.4)\": -1.19, \"(5.4, 5.42)\": -1.263, \"(5.42, 5.45)\": -1.297, \"(5.45, 5.49)\": -1.376, \"(5.49, 5.52)\": -1.415, \"(5.52, 5.57)\": -1.466, \"(5.57, 5.81)\": -1.503, \"(5.81, 5.86)\": -1.418, \"(5.86, 5.88)\": -1.357, \"(5.88, 5.9)\": -1.324, \"(5.9, 5.94)\": -1.253, \"(5.94, 5.99)\": -1.155, \"(5.99, 6.04)\": -0.939, \"(6.04, 6.06)\": -0.877, \"(6.06, 6.08)\": -0.806, \"(6.08, 6.08)\": -0.759, \"(6.08, 6.12)\": -0.718, \"(6.12, 6.16)\": -0.51, \"(6.16, 6.19)\": -0.442, \"(6.19, 6.23)\": -0.271, \"(6.23, 6.27)\": -0.131, \"(6.27, 6.29)\": -0.017, \"(6.29, 6.33)\": 0.094, \"(6.33, 6.36)\": 0.289, \"(6.36, 6.37)\": 0.324, \"(6.37, 6.4)\": 0.402, \"(6.4, 6.42)\": 0.508, \"(6.42, 6.45)\": 0.592, \"(6.45, 6.47)\": 0.669, \"(6.47, 6.48)\": 0.733, \"(6.48, 6.5)\": 0.786, \"(6.5, 6.51)\": 0.853, \"(6.51, 6.54)\": 0.886, \"(6.54, 6.56)\": 0.989, \"(6.56, 6.58)\": 1.039, \"(6.58, 6.59)\": 1.073, \"(6.59, 6.6)\": 1.104, \"(6.6, 6.62)\": 1.147, \"(6.62, 6.63)\": 1.181, \"(6.63, 6.65)\": 1.225, \"(6.65, 6.67)\": 1.26, \"(6.67, 6.71)\": 1.331, \"(6.71, 6.78)\": 1.414, \"(6.78, 7.01)\": 1.506, \"(7.01, 7.05)\": 1.468, \"(7.05, 7.08)\": 1.43, \"(7.08, 7.11)\": 1.385, \"(7.11, 7.15)\": 1.323, \"(7.15, 7.17)\": 1.276, \"(7.17, 7.19)\": 1.231, \"(7.19, 7.2)\": 1.197, \"(7.2, 7.21)\": 1.165, \"(7.21, 7.24)\": 1.125, \"(7.24, 7.27)\": 1.057, \"(7.27, 7.32)\": 0.98, \"(7.32, 7.36)\": 0.852, \"(7.36, 7.37)\": 0.778, \"(7.37, 7.39)\": 0.738, \"(7.39, 7.42)\": 0.707, \"(7.42, 7.43)\": 0.624, \"(7.43, 7.45)\": 0.589, \"(7.45, 7.47)\": 0.542, \"(7.47, 7.52)\": 0.499, \"(7.52, 7.57)\": 0.344, \"(7.57, 7.59)\": 0.284, \"(7.59, 7.61)\": 0.252, \"(7.61, 7.64)\": 0.203, \"(7.64, 7.67)\": 0.165, \"(7.67, 7.72)\": 0.113, \"(7.72, 7.79)\": 0.053, \"(7.79, 7.94)\": 0.01, \"(7.94, 7.98)\": 0.046, \"(7.98, 8.02)\": 0.081, \"(8.02, 8.06)\": 0.122, \"(8.06, 8.13)\": 0.198, \"(8.13, 8.18)\": 0.348, \"(8.18, 8.21)\": 0.395, \"(8.21, 8.26)\": 0.478, \"(8.26, 8.29)\": 0.615, \"(8.29, 8.3)\": 0.654, \"(8.3, 8.32)\": 0.692, \"(8.32, 8.34)\": 0.753, \"(8.34, 8.37)\": 0.805, \"(8.37, 8.39)\": 0.864, \"(8.39, 8.41)\": 0.9, \"(8.41, 8.44)\": 0.977, \"(8.44, 8.47)\": 1.065, \"(8.47, 8.48)\": 1.102, \"(8.48, 8.51)\": 1.136, \"(8.51, 8.53)\": 1.181, \"(8.53, 8.55)\": 1.247, \"(8.55, 8.58)\": 1.293, \"(8.58, 8.61)\": 1.337, \"(8.61, 8.63)\": 1.374, \"(8.63, 8.65)\": 1.411, \"(8.65, 8.68)\": 1.45, \"(8.68, 8.74)\": 1.482, \"(8.74, 8.91)\": 1.528, \"(8.91, 8.97)\": 1.445, \"(8.97, 9.01)\": 1.38, \"(9.01, 9.04)\": 1.336, \"(9.04, 9.06)\": 1.282, \"(9.06, 9.08)\": 1.236, \"(9.08, 9.1)\": 1.18, \"(9.1, 9.14)\": 1.114, \"(9.14, 9.17)\": 0.987, \"(9.17, 9.19)\": 0.902, \"(9.19, 9.22)\": 0.845, \"(9.22, 9.25)\": 0.696, \"(9.25, 9.27)\": 0.629, \"(9.27, 9.3)\": 0.554, \"(9.3, 9.35)\": 0.421, \"(9.35, 9.39)\": 0.181, \"(9.39, 9.39)\": 0.15, \"(9.39, 9.4)\": 0.102, \"(9.4, 9.42)\": 0.046, \"(9.42, 9.46)\": -0.047, \"(9.46, 9.5)\": -0.22, \"(9.5, 9.54)\": -0.388, \"(9.54, 9.56)\": -0.476, \"(9.56, 9.57)\": -0.547, \"(9.57, 9.58)\": -0.591, \"(9.58, 9.59)\": -0.625, \"(9.59, 9.61)\": -0.661, \"(9.61, 9.65)\": -0.763, \"(9.65, 9.7)\": -0.945, \"(9.7, 9.72)\": -1.026, \"(9.72, 9.74)\": -1.078, \"(9.74, 9.76)\": -1.142, \"(9.76, 9.79)\": -1.201, \"(9.79, 9.82)\": -1.27, \"(9.82, 9.86)\": -1.327, \"(9.86, 9.91)\": -1.428, \"(9.91, 9.95)\": -1.468, \"(9.95, 10.0)\": -1.513}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3797,7 +3157,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3813,13 +3173,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.97, -9.93)\": 0.507, \"(-9.93, -9.88)\": 0.479, \"(-9.88, -9.81)\": 0.402, \"(-9.81, -9.77)\": 0.365, \"(-9.77, -9.75)\": 0.337, \"(-9.75, -9.73)\": 0.312, \"(-9.73, -9.7)\": 0.285, \"(-9.7, -9.68)\": 0.264, \"(-9.68, -9.65)\": 0.24, \"(-9.65, -9.63)\": 0.219, \"(-9.63, -9.6)\": 0.198, \"(-9.6, -9.57)\": 0.169, \"(-9.57, -9.53)\": 0.132, \"(-9.53, -9.49)\": 0.093, \"(-9.49, -9.45)\": 0.052, \"(-9.45, -9.42)\": 0.018, \"(-9.42, -9.39)\": -0.015, \"(-9.39, -9.36)\": -0.04, \"(-9.36, -9.35)\": -0.063, \"(-9.35, -9.31)\": -0.086, \"(-9.31, -9.28)\": -0.124, \"(-9.28, -9.26)\": -0.147, \"(-9.26, -9.22)\": -0.184, \"(-9.22, -9.19)\": -0.218, \"(-9.19, -9.15)\": -0.241, \"(-9.15, -9.12)\": -0.29, \"(-9.12, -9.08)\": -0.31, \"(-9.08, -9.04)\": -0.362, \"(-9.04, -9.01)\": -0.392, \"(-9.01, -8.97)\": -0.412, \"(-8.97, -8.92)\": -0.469, \"(-8.92, -8.89)\": -0.498, \"(-8.89, -8.85)\": -0.529, \"(-8.85, -8.78)\": -0.567, \"(-8.78, -8.71)\": -0.638, \"(-8.71, -8.66)\": -0.661, \"(-8.66, -8.62)\": -0.703, \"(-8.62, -8.59)\": -0.724, \"(-8.59, -8.56)\": -0.746, \"(-8.56, -8.51)\": -0.771, \"(-8.51, -8.46)\": -0.796, \"(-8.46, -8.43)\": -0.826, \"(-8.43, -8.35)\": -0.851, \"(-8.35, -8.26)\": -0.898, \"(-8.26, -8.19)\": -0.922, \"(-8.19, -8.12)\": -0.947, \"(-8.12, -7.94)\": -0.975, \"(-7.94, -7.64)\": -0.998, \"(-7.64, -7.56)\": -0.974, \"(-7.56, -7.45)\": -0.949, \"(-7.45, -7.37)\": -0.908, \"(-7.37, -7.32)\": -0.88, \"(-7.32, -7.27)\": -0.855, \"(-7.27, -7.22)\": -0.829, \"(-7.22, -7.17)\": -0.797, \"(-7.17, -7.15)\": -0.773, \"(-7.15, -7.12)\": -0.753, \"(-7.12, -7.07)\": -0.73, \"(-7.07, -7.01)\": -0.689, \"(-7.01, -6.98)\": -0.658, \"(-6.98, -6.94)\": -0.63, \"(-6.94, -6.92)\": -0.606, \"(-6.92, -6.87)\": -0.584, \"(-6.87, -6.84)\": -0.546, \"(-6.84, -6.81)\": -0.522, \"(-6.81, -6.77)\": -0.487, \"(-6.77, -6.74)\": -0.458, \"(-6.74, -6.71)\": -0.425, \"(-6.71, -6.66)\": -0.404, \"(-6.66, -6.59)\": -0.333, \"(-6.59, -6.55)\": -0.281, \"(-6.55, -6.52)\": -0.249, \"(-6.52, -6.49)\": -0.22, \"(-6.49, -6.45)\": -0.187, \"(-6.45, -6.41)\": -0.146, \"(-6.41, -6.37)\": -0.107, \"(-6.37, -6.35)\": -0.08, \"(-6.35, -6.33)\": -0.057, \"(-6.33, -6.3)\": -0.035, \"(-6.3, -6.27)\": -0.009, \"(-6.27, -6.25)\": 0.016, \"(-6.25, -6.21)\": 0.046, \"(-6.21, -6.19)\": 0.07, \"(-6.19, -6.15)\": 0.108, \"(-6.15, -6.09)\": 0.156, \"(-6.09, -6.04)\": 0.218, \"(-6.04, -6.0)\": 0.257, \"(-6.0, -5.95)\": 0.296, \"(-5.95, -5.91)\": 0.345, \"(-5.91, -5.87)\": 0.385, \"(-5.87, -5.83)\": 0.414, \"(-5.83, -5.8)\": 0.45, \"(-5.8, -5.76)\": 0.47, \"(-5.76, -5.71)\": 0.523, \"(-5.71, -5.66)\": 0.562, \"(-5.66, -5.63)\": 0.587, \"(-5.63, -5.59)\": 0.622, \"(-5.59, -5.56)\": 0.646, \"(-5.56, -5.5)\": 0.671, \"(-5.5, -5.44)\": 0.727, \"(-5.44, -5.4)\": 0.752, \"(-5.4, -5.35)\": 0.778, \"(-5.35, -5.31)\": 0.807, \"(-5.31, -5.26)\": 0.83, \"(-5.26, -5.2)\": 0.866, \"(-5.2, -5.15)\": 0.886, \"(-5.15, -5.1)\": 0.908, \"(-5.1, -5.0)\": 0.939, \"(-5.0, -4.93)\": 0.961, \"(-4.93, -4.44)\": 0.982, \"(-4.44, -4.37)\": 0.961, \"(-4.37, -4.3)\": 0.937, \"(-4.3, -4.23)\": 0.906, \"(-4.23, -4.19)\": 0.881, \"(-4.19, -4.11)\": 0.859, \"(-4.11, -4.05)\": 0.811, \"(-4.05, -4.0)\": 0.788, \"(-4.0, -3.95)\": 0.737, \"(-3.95, -3.92)\": 0.714, \"(-3.92, -3.88)\": 0.692, \"(-3.88, -3.85)\": 0.671, \"(-3.85, -3.82)\": 0.644, \"(-3.82, -3.79)\": 0.616, \"(-3.79, -3.76)\": 0.596, \"(-3.76, -3.73)\": 0.575, \"(-3.73, -3.7)\": 0.546, \"(-3.7, -3.68)\": 0.526, \"(-3.68, -3.65)\": 0.504, \"(-3.65, -3.6)\": 0.466, \"(-3.6, -3.57)\": 0.435, \"(-3.57, -3.54)\": 0.406, \"(-3.54, -3.52)\": 0.384, \"(-3.52, -3.49)\": 0.362, \"(-3.49, -3.46)\": 0.338, \"(-3.46, -3.44)\": 0.317, \"(-3.44, -3.4)\": 0.29, \"(-3.4, -3.35)\": 0.226, \"(-3.35, -3.33)\": 0.206, \"(-3.33, -3.29)\": 0.179, \"(-3.29, -3.23)\": 0.117, \"(-3.23, -3.21)\": 0.085, \"(-3.21, -3.19)\": 0.058, \"(-3.19, -3.16)\": 0.035, \"(-3.16, -3.12)\": 0.014, \"(-3.12, -3.09)\": -0.036, \"(-3.09, -3.05)\": -0.062, \"(-3.05, -3.0)\": -0.091, \"(-3.0, -2.93)\": -0.187, \"(-2.93, -2.9)\": -0.222, \"(-2.9, -2.87)\": -0.253, \"(-2.87, -2.82)\": -0.275, \"(-2.82, -2.77)\": -0.345, \"(-2.77, -2.74)\": -0.367, \"(-2.74, -2.7)\": -0.409, \"(-2.7, -2.68)\": -0.431, \"(-2.68, -2.63)\": -0.47, \"(-2.63, -2.6)\": -0.5, \"(-2.6, -2.56)\": -0.524, \"(-2.56, -2.53)\": -0.554, \"(-2.53, -2.5)\": -0.575, \"(-2.5, -2.47)\": -0.605, \"(-2.47, -2.4)\": -0.639, \"(-2.4, -2.33)\": -0.703, \"(-2.33, -2.29)\": -0.734, \"(-2.29, -2.25)\": -0.757, \"(-2.25, -2.18)\": -0.799, \"(-2.18, -2.11)\": -0.84, \"(-2.11, -2.07)\": -0.861, \"(-2.07, -2.01)\": -0.888, \"(-2.01, -1.94)\": -0.912, \"(-1.94, -1.86)\": -0.936, \"(-1.86, -1.76)\": -0.964, \"(-1.76, -1.32)\": -0.985, \"(-1.32, -1.2)\": -0.956, \"(-1.2, -1.14)\": -0.922, \"(-1.14, -1.07)\": -0.901, \"(-1.07, -1.03)\": -0.875, \"(-1.03, -0.99)\": -0.85, \"(-0.99, -0.94)\": -0.819, \"(-0.94, -0.88)\": -0.791, \"(-0.88, -0.84)\": -0.766, \"(-0.84, -0.79)\": -0.725, \"(-0.79, -0.77)\": -0.704, \"(-0.77, -0.73)\": -0.679, \"(-0.73, -0.68)\": -0.654, \"(-0.68, -0.66)\": -0.628, \"(-0.66, -0.63)\": -0.607, \"(-0.63, -0.58)\": -0.57, \"(-0.58, -0.55)\": -0.542, \"(-0.55, -0.52)\": -0.511, \"(-0.52, -0.49)\": -0.489, \"(-0.49, -0.46)\": -0.469, \"(-0.46, -0.42)\": -0.43, \"(-0.42, -0.4)\": -0.406, \"(-0.4, -0.37)\": -0.376, \"(-0.37, -0.33)\": -0.349, \"(-0.33, -0.29)\": -0.308, \"(-0.29, -0.26)\": -0.284, \"(-0.26, -0.25)\": -0.261, \"(-0.25, -0.22)\": -0.235, \"(-0.22, -0.18)\": -0.207, \"(-0.18, -0.15)\": -0.175, \"(-0.15, -0.13)\": -0.14, \"(-0.13, -0.09)\": -0.116, \"(-0.09, -0.04)\": -0.072, \"(-0.04, 0.02)\": -0.015, \"(0.02, 0.06)\": 0.04, \"(0.06, 0.09)\": 0.075, \"(0.09, 0.12)\": 0.106, \"(0.12, 0.15)\": 0.136, \"(0.15, 0.19)\": 0.169, \"(0.19, 0.24)\": 0.2, \"(0.24, 0.29)\": 0.265, \"(0.29, 0.32)\": 0.29, \"(0.32, 0.35)\": 0.326, \"(0.35, 0.39)\": 0.349, \"(0.39, 0.44)\": 0.404, \"(0.44, 0.47)\": 0.432, \"(0.47, 0.49)\": 0.455, \"(0.49, 0.53)\": 0.478, \"(0.53, 0.56)\": 0.517, \"(0.56, 0.6)\": 0.553, \"(0.6, 0.63)\": 0.579, \"(0.63, 0.71)\": 0.6, \"(0.71, 0.8)\": 0.695, \"(0.8, 0.87)\": 0.734, \"(0.87, 0.93)\": 0.776, \"(0.93, 0.98)\": 0.812, \"(0.98, 1.03)\": 0.833, \"(1.03, 1.09)\": 0.861, \"(1.09, 1.14)\": 0.888, \"(1.14, 1.18)\": 0.911, \"(1.18, 1.26)\": 0.932, \"(1.26, 1.34)\": 0.953, \"(1.34, 1.48)\": 0.976, \"(1.48, 1.78)\": 0.996, \"(1.78, 1.85)\": 0.975, \"(1.85, 1.94)\": 0.952, \"(1.94, 1.99)\": 0.926, \"(1.99, 2.08)\": 0.904, \"(2.08, 2.15)\": 0.856, \"(2.15, 2.2)\": 0.835, \"(2.2, 2.24)\": 0.809, \"(2.24, 2.27)\": 0.778, \"(2.27, 2.33)\": 0.753, \"(2.33, 2.4)\": 0.707, \"(2.4, 2.45)\": 0.661, \"(2.45, 2.48)\": 0.626, \"(2.48, 2.53)\": 0.6, \"(2.53, 2.57)\": 0.553, \"(2.57, 2.6)\": 0.531, \"(2.6, 2.65)\": 0.503, \"(2.65, 2.69)\": 0.466, \"(2.69, 2.73)\": 0.418, \"(2.73, 2.76)\": 0.387, \"(2.76, 2.8)\": 0.363, \"(2.8, 2.84)\": 0.313, \"(2.84, 2.87)\": 0.29, \"(2.87, 2.89)\": 0.266, \"(2.89, 2.93)\": 0.232, \"(2.93, 2.95)\": 0.205, \"(2.95, 2.97)\": 0.185, \"(2.97, 2.99)\": 0.159, \"(2.99, 3.02)\": 0.134, \"(3.02, 3.05)\": 0.103, \"(3.05, 3.08)\": 0.077, \"(3.08, 3.1)\": 0.054, \"(3.1, 3.13)\": 0.026, \"(3.13, 3.17)\": -0.008, \"(3.17, 3.22)\": -0.056, \"(3.22, 3.26)\": -0.103, \"(3.26, 3.29)\": -0.124, \"(3.29, 3.32)\": -0.158, \"(3.32, 3.35)\": -0.196, \"(3.35, 3.38)\": -0.216, \"(3.38, 3.42)\": -0.236, \"(3.42, 3.46)\": -0.292, \"(3.46, 3.49)\": -0.326, \"(3.49, 3.52)\": -0.352, \"(3.52, 3.55)\": -0.381, \"(3.55, 3.59)\": -0.412, \"(3.59, 3.65)\": -0.464, \"(3.65, 3.71)\": -0.51, \"(3.71, 3.75)\": -0.555, \"(3.75, 3.79)\": -0.587, \"(3.79, 3.82)\": -0.613, \"(3.82, 3.86)\": -0.634, \"(3.86, 3.9)\": -0.662, \"(3.9, 3.95)\": -0.699, \"(3.95, 4.01)\": -0.728, \"(4.01, 4.09)\": -0.789, \"(4.09, 4.12)\": -0.818, \"(4.12, 4.19)\": -0.847, \"(4.19, 4.23)\": -0.869, \"(4.23, 4.3)\": -0.894, \"(4.3, 4.37)\": -0.92, \"(4.37, 4.49)\": -0.949, \"(4.49, 4.98)\": -0.983, \"(4.98, 5.08)\": -0.963, \"(5.08, 5.17)\": -0.917, \"(5.17, 5.22)\": -0.896, \"(5.22, 5.28)\": -0.866, \"(5.28, 5.33)\": -0.836, \"(5.33, 5.36)\": -0.813, \"(5.36, 5.4)\": -0.789, \"(5.4, 5.44)\": -0.768, \"(5.44, 5.5)\": -0.732, \"(5.5, 5.55)\": -0.696, \"(5.55, 5.62)\": -0.662, \"(5.62, 5.71)\": -0.565, \"(5.71, 5.76)\": -0.523, \"(5.76, 5.8)\": -0.479, \"(5.8, 5.83)\": -0.448, \"(5.83, 5.89)\": -0.425, \"(5.89, 5.96)\": -0.344, \"(5.96, 6.02)\": -0.294, \"(6.02, 6.06)\": -0.234, \"(6.06, 6.13)\": -0.204, \"(6.13, 6.19)\": -0.115, \"(6.19, 6.21)\": -0.091, \"(6.21, 6.23)\": -0.069, \"(6.23, 6.27)\": -0.035, \"(6.27, 6.31)\": 0.003, \"(6.31, 6.34)\": 0.035, \"(6.34, 6.39)\": 0.069, \"(6.39, 6.44)\": 0.135, \"(6.44, 6.48)\": 0.169, \"(6.48, 6.5)\": 0.204, \"(6.5, 6.52)\": 0.225, \"(6.52, 6.55)\": 0.248, \"(6.55, 6.59)\": 0.275, \"(6.59, 6.61)\": 0.301, \"(6.61, 6.66)\": 0.328, \"(6.66, 6.7)\": 0.383, \"(6.7, 6.74)\": 0.42, \"(6.74, 6.79)\": 0.461, \"(6.79, 6.83)\": 0.496, \"(6.83, 6.87)\": 0.534, \"(6.87, 6.91)\": 0.564, \"(6.91, 6.93)\": 0.587, \"(6.93, 6.97)\": 0.614, \"(6.97, 7.0)\": 0.642, \"(7.0, 7.03)\": 0.663, \"(7.03, 7.08)\": 0.687, \"(7.08, 7.13)\": 0.728, \"(7.13, 7.17)\": 0.756, \"(7.17, 7.2)\": 0.78, \"(7.2, 7.25)\": 0.802, \"(7.25, 7.28)\": 0.823, \"(7.28, 7.33)\": 0.847, \"(7.33, 7.44)\": 0.89, \"(7.44, 7.53)\": 0.933, \"(7.53, 7.62)\": 0.954, \"(7.62, 7.76)\": 0.975, \"(7.76, 8.07)\": 0.996, \"(8.07, 8.18)\": 0.975, \"(8.18, 8.25)\": 0.94, \"(8.25, 8.29)\": 0.919, \"(8.29, 8.36)\": 0.897, \"(8.36, 8.4)\": 0.875, \"(8.4, 8.46)\": 0.855, \"(8.46, 8.5)\": 0.811, \"(8.5, 8.57)\": 0.786, \"(8.57, 8.63)\": 0.75, \"(8.63, 8.66)\": 0.703, \"(8.66, 8.7)\": 0.681, \"(8.7, 8.74)\": 0.648, \"(8.74, 8.79)\": 0.627, \"(8.79, 8.84)\": 0.579, \"(8.84, 8.87)\": 0.547, \"(8.87, 8.9)\": 0.525, \"(8.9, 8.93)\": 0.497, \"(8.93, 8.96)\": 0.465, \"(8.96, 8.99)\": 0.441, \"(8.99, 9.04)\": 0.406, \"(9.04, 9.08)\": 0.362, \"(9.08, 9.12)\": 0.318, \"(9.12, 9.15)\": 0.29, \"(9.15, 9.2)\": 0.264, \"(9.2, 9.25)\": 0.195, \"(9.25, 9.28)\": 0.159, \"(9.28, 9.34)\": 0.123, \"(9.34, 9.39)\": 0.056, \"(9.39, 9.41)\": 0.029, \"(9.41, 9.46)\": -0.004, \"(9.46, 9.51)\": -0.065, \"(9.51, 9.52)\": -0.086, \"(9.52, 9.55)\": -0.107, \"(9.55, 9.6)\": -0.143, \"(9.6, 9.65)\": -0.192, \"(9.65, 9.69)\": -0.24, \"(9.69, 9.72)\": -0.271, \"(9.72, 9.75)\": -0.293, \"(9.75, 9.76)\": -0.322, \"(9.76, 9.81)\": -0.344, \"(9.81, 9.85)\": -0.397, \"(9.85, 9.89)\": -0.418, \"(9.89, 9.94)\": -0.475, \"(9.94, 9.96)\": -0.496, \"(9.96, 10.0)\": -0.517}\n", + "Means: {\"(-9.97, -9.93)\": 1.486, \"(-9.93, -9.88)\": 1.449, \"(-9.88, -9.84)\": 1.404, \"(-9.84, -9.77)\": 1.362, \"(-9.77, -9.73)\": 1.324, \"(-9.73, -9.67)\": 1.277, \"(-9.67, -9.63)\": 1.236, \"(-9.63, -9.59)\": 1.198, \"(-9.59, -9.49)\": 1.138, \"(-9.49, -9.41)\": 1.034, \"(-9.41, -9.36)\": 0.96, \"(-9.36, -9.32)\": 0.919, \"(-9.32, -9.27)\": 0.875, \"(-9.27, -9.23)\": 0.839, \"(-9.23, -9.19)\": 0.8, \"(-9.19, -9.15)\": 0.755, \"(-9.15, -9.12)\": 0.716, \"(-9.12, -9.08)\": 0.679, \"(-9.08, -9.03)\": 0.626, \"(-9.03, -8.98)\": 0.57, \"(-8.98, -8.94)\": 0.535, \"(-8.94, -8.9)\": 0.491, \"(-8.9, -8.83)\": 0.455, \"(-8.83, -8.77)\": 0.369, \"(-8.77, -8.72)\": 0.328, \"(-8.72, -8.66)\": 0.277, \"(-8.66, -8.62)\": 0.232, \"(-8.62, -8.58)\": 0.186, \"(-8.58, -8.51)\": 0.142, \"(-8.51, -8.44)\": 0.1, \"(-8.44, -8.36)\": 0.018, \"(-8.36, -8.28)\": -0.032, \"(-8.28, -8.22)\": -0.079, \"(-8.22, -8.12)\": -0.119, \"(-8.12, -8.0)\": -0.192, \"(-8.0, -7.9)\": -0.241, \"(-7.9, -7.78)\": -0.285, \"(-7.78, -7.57)\": -0.321, \"(-7.57, -7.05)\": -0.361, \"(-7.05, -6.92)\": -0.315, \"(-6.92, -6.83)\": -0.278, \"(-6.83, -6.71)\": -0.238, \"(-6.71, -6.61)\": -0.191, \"(-6.61, -6.51)\": -0.148, \"(-6.51, -6.45)\": -0.112, \"(-6.45, -6.37)\": -0.076, \"(-6.37, -6.26)\": -0.03, \"(-6.26, -6.2)\": 0.012, \"(-6.2, -6.11)\": 0.049, \"(-6.11, -5.99)\": 0.105, \"(-5.99, -5.91)\": 0.145, \"(-5.91, -5.82)\": 0.183, \"(-5.82, -5.69)\": 0.224, \"(-5.69, -5.54)\": 0.277, \"(-5.54, -5.32)\": 0.321, \"(-5.32, -4.8)\": 0.36, \"(-4.8, -4.65)\": 0.307, \"(-4.65, -4.56)\": 0.262, \"(-4.56, -4.48)\": 0.222, \"(-4.48, -4.42)\": 0.186, \"(-4.42, -4.33)\": 0.15, \"(-4.33, -4.25)\": 0.084, \"(-4.25, -4.19)\": 0.042, \"(-4.19, -4.13)\": -0.005, \"(-4.13, -4.09)\": -0.051, \"(-4.09, -4.05)\": -0.086, \"(-4.05, -3.99)\": -0.13, \"(-3.99, -3.93)\": -0.174, \"(-3.93, -3.86)\": -0.232, \"(-3.86, -3.81)\": -0.289, \"(-3.81, -3.75)\": -0.332, \"(-3.75, -3.71)\": -0.394, \"(-3.71, -3.66)\": -0.447, \"(-3.66, -3.61)\": -0.485, \"(-3.61, -3.59)\": -0.52, \"(-3.59, -3.53)\": -0.56, \"(-3.53, -3.49)\": -0.612, \"(-3.49, -3.45)\": -0.651, \"(-3.45, -3.42)\": -0.686, \"(-3.42, -3.37)\": -0.729, \"(-3.37, -3.28)\": -0.787, \"(-3.28, -3.19)\": -0.899, \"(-3.19, -3.13)\": -0.971, \"(-3.13, -3.11)\": -1.019, \"(-3.11, -3.04)\": -1.059, \"(-3.04, -2.98)\": -1.119, \"(-2.98, -2.93)\": -1.167, \"(-2.93, -2.87)\": -1.212, \"(-2.87, -2.81)\": -1.28, \"(-2.81, -2.77)\": -1.327, \"(-2.77, -2.7)\": -1.369, \"(-2.7, -2.64)\": -1.412, \"(-2.64, -2.59)\": -1.462, \"(-2.59, -2.49)\": -1.515, \"(-2.49, -2.43)\": -1.555, \"(-2.43, -2.32)\": -1.607, \"(-2.32, -2.22)\": -1.665, \"(-2.22, -2.01)\": -1.71, \"(-2.01, -1.6)\": -1.751, \"(-1.6, -1.51)\": -1.715, \"(-1.51, -1.46)\": -1.678, \"(-1.46, -1.36)\": -1.639, \"(-1.36, -1.3)\": -1.602, \"(-1.3, -1.25)\": -1.566, \"(-1.25, -1.19)\": -1.523, \"(-1.19, -1.14)\": -1.478, \"(-1.14, -1.05)\": -1.422, \"(-1.05, -0.96)\": -1.318, \"(-0.96, -0.94)\": -1.281, \"(-0.94, -0.9)\": -1.24, \"(-0.9, -0.86)\": -1.201, \"(-0.86, -0.82)\": -1.163, \"(-0.82, -0.76)\": -1.11, \"(-0.76, -0.71)\": -1.026, \"(-0.71, -0.68)\": -0.985, \"(-0.68, -0.63)\": -0.941, \"(-0.63, -0.59)\": -0.885, \"(-0.59, -0.54)\": -0.816, \"(-0.54, -0.5)\": -0.755, \"(-0.5, -0.46)\": -0.707, \"(-0.46, -0.42)\": -0.664, \"(-0.42, -0.37)\": -0.602, \"(-0.37, -0.32)\": -0.507, \"(-0.32, -0.25)\": -0.431, \"(-0.25, -0.21)\": -0.323, \"(-0.21, -0.17)\": -0.284, \"(-0.17, -0.11)\": -0.221, \"(-0.11, -0.06)\": -0.143, \"(-0.06, -0.01)\": -0.045, \"(-0.01, 0.02)\": -0.006, \"(0.02, 0.06)\": 0.036, \"(0.06, 0.12)\": 0.121, \"(0.12, 0.19)\": 0.243, \"(0.19, 0.21)\": 0.284, \"(0.21, 0.23)\": 0.326, \"(0.23, 0.27)\": 0.363, \"(0.27, 0.32)\": 0.431, \"(0.32, 0.36)\": 0.508, \"(0.36, 0.41)\": 0.566, \"(0.41, 0.47)\": 0.627, \"(0.47, 0.51)\": 0.702, \"(0.51, 0.53)\": 0.74, \"(0.53, 0.57)\": 0.786, \"(0.57, 0.61)\": 0.843, \"(0.61, 0.65)\": 0.879, \"(0.65, 0.68)\": 0.939, \"(0.68, 0.71)\": 0.982, \"(0.71, 0.79)\": 1.033, \"(0.79, 0.87)\": 1.148, \"(0.87, 0.91)\": 1.204, \"(0.91, 1.01)\": 1.242, \"(1.01, 1.11)\": 1.384, \"(1.11, 1.18)\": 1.426, \"(1.18, 1.26)\": 1.499, \"(1.26, 1.36)\": 1.559, \"(1.36, 1.45)\": 1.614, \"(1.45, 1.55)\": 1.667, \"(1.55, 1.69)\": 1.704, \"(1.69, 2.18)\": 1.74, \"(2.18, 2.29)\": 1.699, \"(2.29, 2.38)\": 1.656, \"(2.38, 2.49)\": 1.598, \"(2.49, 2.54)\": 1.548, \"(2.54, 2.61)\": 1.505, \"(2.61, 2.67)\": 1.465, \"(2.67, 2.78)\": 1.402, \"(2.78, 2.86)\": 1.312, \"(2.86, 2.9)\": 1.263, \"(2.9, 2.94)\": 1.227, \"(2.94, 2.99)\": 1.187, \"(2.99, 3.02)\": 1.145, \"(3.02, 3.07)\": 1.091, \"(3.07, 3.12)\": 1.053, \"(3.12, 3.17)\": 0.998, \"(3.17, 3.22)\": 0.957, \"(3.22, 3.24)\": 0.916, \"(3.24, 3.28)\": 0.877, \"(3.28, 3.32)\": 0.842, \"(3.32, 3.37)\": 0.804, \"(3.37, 3.43)\": 0.75, \"(3.43, 3.48)\": 0.69, \"(3.48, 3.51)\": 0.648, \"(3.51, 3.55)\": 0.603, \"(3.55, 3.59)\": 0.566, \"(3.59, 3.7)\": 0.508, \"(3.7, 3.79)\": 0.387, \"(3.79, 3.83)\": 0.34, \"(3.83, 3.87)\": 0.299, \"(3.87, 3.92)\": 0.255, \"(3.92, 3.98)\": 0.21, \"(3.98, 4.05)\": 0.155, \"(4.05, 4.13)\": 0.086, \"(4.13, 4.19)\": 0.035, \"(4.19, 4.26)\": -0.002, \"(4.26, 4.34)\": -0.076, \"(4.34, 4.39)\": -0.112, \"(4.39, 4.49)\": -0.158, \"(4.49, 4.56)\": -0.193, \"(4.56, 4.65)\": -0.235, \"(4.65, 4.75)\": -0.271, \"(4.75, 4.88)\": -0.307, \"(4.88, 5.51)\": -0.344, \"(5.51, 5.68)\": -0.307, \"(5.68, 5.78)\": -0.268, \"(5.78, 5.87)\": -0.232, \"(5.87, 5.98)\": -0.187, \"(5.98, 6.08)\": -0.142, \"(6.08, 6.16)\": -0.094, \"(6.16, 6.25)\": -0.058, \"(6.25, 6.33)\": -0.006, \"(6.33, 6.42)\": 0.03, \"(6.42, 6.5)\": 0.077, \"(6.5, 6.59)\": 0.114, \"(6.59, 6.7)\": 0.161, \"(6.7, 6.81)\": 0.204, \"(6.81, 6.95)\": 0.256, \"(6.95, 7.08)\": 0.292, \"(7.08, 7.84)\": 0.332, \"(7.84, 7.94)\": 0.294, \"(7.94, 8.03)\": 0.256, \"(8.03, 8.11)\": 0.213, \"(8.11, 8.18)\": 0.174, \"(8.18, 8.26)\": 0.13, \"(8.26, 8.33)\": 0.074, \"(8.33, 8.38)\": 0.033, \"(8.38, 8.45)\": -0.022, \"(8.45, 8.51)\": -0.064, \"(8.51, 8.55)\": -0.107, \"(8.55, 8.59)\": -0.145, \"(8.59, 8.64)\": -0.181, \"(8.64, 8.69)\": -0.233, \"(8.69, 8.74)\": -0.275, \"(8.74, 8.77)\": -0.319, \"(8.77, 8.83)\": -0.356, \"(8.83, 8.87)\": -0.403, \"(8.87, 8.91)\": -0.442, \"(8.91, 8.97)\": -0.501, \"(8.97, 9.0)\": -0.54, \"(9.0, 9.04)\": -0.575, \"(9.04, 9.1)\": -0.612, \"(9.1, 9.15)\": -0.692, \"(9.15, 9.21)\": -0.746, \"(9.21, 9.26)\": -0.793, \"(9.26, 9.3)\": -0.839, \"(9.3, 9.37)\": -0.896, \"(9.37, 9.42)\": -0.948, \"(9.42, 9.49)\": -1.023, \"(9.49, 9.56)\": -1.08, \"(9.56, 9.62)\": -1.159, \"(9.62, 9.68)\": -1.212, \"(9.68, 9.73)\": -1.25, \"(9.73, 9.79)\": -1.304, \"(9.79, 9.83)\": -1.341, \"(9.83, 9.92)\": -1.4, \"(9.92, 9.97)\": -1.45}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3829,7 +3189,7 @@ }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiwAAAHHCAYAAACcHAM1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAABXAElEQVR4nO3deXgURf4/8Hcn5AKScOaSgMEjIJdIICaKokZClvVLVFBZdwFFFAyuLJ7xh7AiaxTwXiSoYFRETsFVEQQkuJiAJMKuyCGwgYBkoiLkIiQhqd8fOONMzunJzHR19/v1PPM8zEz3pJqpqf5U1aerFSGEABEREZHEfLQuABEREVFLGLAQERGR9BiwEBERkfQYsBAREZH0GLAQERGR9BiwEBERkfQYsBAREZH0GLAQERGR9BiwEBERkfQYsBCRgwkTJuDiiy9u1Wc8+OCDuPnmm91TIDe7+uqr8fjjj2tdDCJSiQELEblVQUEB3n77bTz11FNe+5u7du3C1KlT0adPH7Rr1w7du3fHHXfcgR9++KHBtk888QQWLFgAi8Xi9b9NRK5TeC8hIrJXU1ODuro6BAQEuLT/tGnT8Pnnn+PgwYNuLlnTRo8eja+//hpjxoxB//79YbFY8M9//hPl5eXYsWMH+vbta9u2rq4OF110ESZNmoTZs2d79W8TkesYsBCR29TU1CAqKgqTJ0/Gs88+65bPnDBhAo4ePYrs7Owmt8nJyUFcXBz8/f1trx06dAj9+vXD6NGjsXTpUoftH3roIXzyyScoKCiAoihe/dtE5BpOCRGZTFlZGaZNm4aLL74YAQEBCAsLw80334xvv/0WQMMclqNHj0JRFMyfPx9vvvkmLrnkEgQEBGDw4MHYtWuXw2dv374dv/zyC5KSkhxeHz9+PAIDA7F//36H15OTk9GxY0ecPHmyVceUmJjoEDAAwGWXXYY+ffo0+JsAcPPNN+PYsWPYs2dPq/6uK3+biFzDgIXIZCZPnoyFCxfi9ttvxxtvvIFHH30UQUFBLZ5cly1bhnnz5uGBBx7AnDlzcPToUdx2222oqamxbZOTkwNFUTBw4ECHfV999VV07doV48ePR21tLQBg0aJF+OKLL/D6668jKirK7ccphEBxcTG6dOnS4L1BgwYBAL7++mu3/92W/jYRuaaN1gUgIu/67LPPMGnSJLz44ou215y5aqawsBCHDh1Cx44dAQCxsbEYNWoUNm7ciD/+8Y8AgAMHDqBTp04ICQlx2LdDhw5YvHgxkpOT8fzzz+NPf/oTHn30UaSmpuLPf/6zG4/udx988AF+/PHHRvNULrroIvj7+2Pfvn1e/9tE5BoGLEQm06FDB+zcuRMnT55UNbJx55132oIVABg6dCgA4H//+5/ttVOnTjlsY2/48OF44IEHMHv2bKxevRqBgYFYtGiRwzZ1dXX49ddfHV6rqqpCTU0NfvnlF4fXQ0ND4efn1+jfOnDgANLS0pCQkIDx48c3uk3Hjh0dPtObf5uI1GPAQmQyc+fOxfjx4xEdHY1BgwbhD3/4A8aNG4eePXs2u1/37t0dnlsDk9OnTzu83lwe//z58/Hxxx9jz549WLZsGcLCwhzeLywsRExMTKP7du3a1eH51q1bMWzYsAbbWSwWjBw5EqGhoVi9ejV8fX0b/TwhhEPCrTf/NhGpx4CFyGTuuOMODB06FGvXrsUXX3yBefPm4YUXXsBHH32ElJSUJvdr7sRv1blz5wYBjL3du3fjp59+AgB89913GDt2rMP7ERER2LRpk8Nr8+bNg8VicZjCAoABAwY0+PySkhKkpKTgzJkz+Pe//93sCNKZM2cccky8+beJSD0GLEQmFBkZiQcffBAPPvggfvrpJ1x11VX4xz/+0WzA4oxevXrhgw8+QElJCUJDQx3eq6iowD333IMrrrgCiYmJmDt3Lm699VYMHjzYtk1gYGCDK4yWLl2KqqqqBq/Xd+7cOdxyyy344YcfsHnzZlxxxRVNbvvjjz+iuroavXv39vrfJiLX8CohIhOpra1FSUmJw2thYWGIiopCVVVVqz8/ISEBQgjk5+c3eO+JJ55AYWEh3n33Xbz00ku4+OKLMX78eLf83draWtx5553Izc3FqlWrkJCQ0Oz21vIlJiZ6/W8TkWs4wkJkImVlZejWrRtGjx6NAQMGoH379ti8eTN27drVYNrDFddeey06d+6MzZs348Ybb7S9/uWXX+KNN97ArFmzcNVVVwEA3nnnHQwbNgxPP/005s6d26q/+8gjj+Bf//oXbrnlFvz6668NFmurfyXSpk2b0L179waXX3vjbxORaxiwEJlI27Zt8eCDD+KLL77ARx99hLq6Olx66aV44403MGXKlFZ/vr+/P+6++26sWrUKzz33HIALQdK9996LgQMH4v/9v/9n23bo0KF4+OGH8eKLL+K2227D1Vdf7fLftS4A98knn+CTTz5p8L590FBXV4c1a9Zg4sSJza5y64m/TUSu49L8RORW//vf/9CrVy98/vnnuOmmm7QuTgPr1q3Dn/70Jxw5cgSRkZFaF4eInMSAhYjcbsqUKTh8+HCDq25kkJCQgKFDh7Z6GoqIvIsBCxEREUmPVwkRERGR9BiwEBERkfQYsBAREZH0GLAQERGR9AyxDktdXR1OnjyJ4OBgt6yrQERERJ4nhEBZWRmioqLg49P8GIohApaTJ08iOjpa62IQERGRC44fP45u3bo1u40hApbg4GAAFw44JCRE49IQERGRM0pLSxEdHW07jzfHEAGLdRooJCSEAQsREZHOOJPOwaRbIiIikh4DFiIiIpIeAxYiIiKSHgMWIiIikh4DFiIiIpIeAxYiIiKSHgMWIiIikh4DFiIiIpIeAxYiIiKSHgMWIiIikp6qgGXhwoXo37+/bQn8hIQEfP75583us2rVKvTq1QuBgYHo168f1q9f7/C+EAIzZ85EZGQkgoKCkJSUhEOHDqk/EiIiIjIsVQFLt27d8PzzzyM/Px95eXm48cYbMWrUKHz//feNbp+Tk4OxY8di4sSJ2L17N1JTU5Gamoq9e/fatpk7dy5ee+01ZGZmYufOnWjXrh2Sk5Nx7ty51h0ZERERGYYihBCt+YBOnTph3rx5mDhxYoP37rzzTlRUVODTTz+1vXb11VfjyiuvRGZmJoQQiIqKwiOPPIJHH30UAFBSUoLw8HBkZWXhrrvucqoMpaWlCA0NRUlJCW9+6GVCCFTW1Db6XpCfr1M3tCIiInNSc/52+W7NtbW1WLVqFSoqKpCQkNDoNrm5uZg+fbrDa8nJyVi3bh0AoKCgABaLBUlJSbb3Q0NDER8fj9zc3CYDlqqqKlRVVdmel5aWunoY1ApCCIzOzEX+sdONvh/XoyNWTU5g0EIOmgtyAQa6RNQ41QHLd999h4SEBJw7dw7t27fH2rVrccUVVzS6rcViQXh4uMNr4eHhsFgstvetrzW1TWMyMjLwzDPPqC06uVllTW2TwQoA5B07jcqaWrT1dzkuJoNpKcgFGOhSQy0FuVYMdo1N9ZkkNjYWe/bsQUlJCVavXo3x48dj27ZtTQYtnpCenu4wclNaWoro6Giv/X1qKG9GEtr6+wIAzlbXIm7OZo1LRDJqKcgFGOiSIyEEbluYg92FZ1rclsGusaluEfz9/XHppZcCAAYNGoRdu3bh1VdfxaJFixpsGxERgeLiYofXiouLERERYXvf+lpkZKTDNldeeWWTZQgICEBAQIDaopObWHs7Z6t/7/G09fflCYaa1FidsQ9yAQa61LjKmlqnghWAwa7Rtfpbraurc8gnsZeQkIAtW7Zg2rRpttc2bdpky3mJiYlBREQEtmzZYgtQSktLsXPnTkyZMqW1RSMPEELg1jdysOf4Gae2P1tdy2FakxNC4LY3crC7Xp1pLsi1BjasO+blTJBrxWDXHFQFLOnp6UhJSUH37t1RVlaGZcuWITs7Gxs3bgQAjBs3DhdddBEyMjIAAA8//DCuv/56vPjiixg5ciSWL1+OvLw8vPnmmwAARVEwbdo0zJkzB5dddhliYmLw9NNPIyoqCqmpqe49UnKLypraBsHKoB4dEeTXsBEBgLg5m3FV9w5YMyWRJx6TqqypbRCsDOzeock6A8B28uEQvzk1levkzEguO0nGpSpg+emnnzBu3DgUFRUhNDQU/fv3x8aNG3HzzTcDAAoLC+Hj8/vSLomJiVi2bBlmzJiBp556CpdddhnWrVuHvn372rZ5/PHHUVFRgfvvvx9nzpzBtddeiw0bNiAwMNBNh0ju0Fxvp37jEOTni7geHZH3W2PzbeEZDtMSgKbrDNCw3gAc4jerxnKd4prpGDlsN2czA12DavU6LDLgOiye1VRvZ9/s5CZPJEIInKqotvWU82YkoXM7fzYgJnS2+jyumHlhFLa5OgM4BsbWutPSPmQ89nWmuSDXSgiBMZm5DsEu640+qDl/815C1CJXejuKojjMNcfN2YwxmbkwQHxMThJC4Gz1eYdRuZZcqDdtGs1TIHOyTgM119lRFAWrJicgb0ZSk9uQ/jH8JFVynrwB7QPaIDjQr8XRkvpD/BzeNw9n1ltx/rPcUCDSjQuBrvNBrlX9ThIZD0dYqEX2J4wObf0REuTc1A57PebVmhyE+kZn5nBkziSEEBi9MNctV/ycra5lvTEYdnWpWUII3L4wx+X92eshZ3IQ6gvy88UVkSHYV1SK/UVlHJkzicqaWuQX/h7oNncFYkuYfGs8HGGhZlXW1OKApQwA0Csi2OXGw4odHnOw/56dyUGozzo6R+aVNyMJq1UGG9ZpaNtn/DYNTcbAgIWc5o61VG5fyOF9o7NesdFa7BSbW1t/9WupcBra2BiwkNNcPYEE+fmid2QwAOCApYw9HoOrrKnFvqILd1C/PLx9q0flAI7MmYGrybb11Z+GZt0xDgYs5HGKomD15ETbcybDmcfqye5Z4ZiXxBub9aoyTyyvz7pjHAxYqElCCJSfO++Wz7I/Z3FNFvNo4+t6sGJNvAWAfUWlHJkzsPpXlbl6RZlVkJ8vekVcGNVl3TEOBizUKCEEUhd8jSHPbXHL5zEZjtSqn3jLkTlzyJuR1OorexRFwZopiS1vSLrCgIUaVVlTi/+cKLE9b22Px3ry2ZF+ozuKR5JyVx6CFUfmzMeVZNvG2H8Eq4wxMGChFrmjxwNcCFpCgvzcVCqSjSfyEDgyZw6eDii4+KAxMGChBur3kt3V4yFjc3ceAsDLVM3AXZfB12efA2VdfJD0jUtHkgN33gOGzMW+A+vOu3PzMlVjs78M3h2LU1pZg90+sza65fNIexxhIQee6CU3hSce46jfS/bkqBzzWIzLHYtT2uPAsLEwYKEmuSt3pSk88RiHp3rJVkF+vujNy1QNyb4JYIBBzWHAQk3yRC+Za2sYn7t7ycBviw/yMlXD8VT+SmN4Wbz+MWAhB57+PddfW4Pth/F4qpfM3rfx2I/MXREZ4rHpZ4CXxRsBAxay8VZvx/7EwwbEGLz9FbLKGENt7e9fpCemn3lZvLEwYCEb+95ObLj78xCsOC1kLN4c1rfiXb/1z3pFopUnRtB4WbyxMGChRq2Z4rlk2/rTQqRv3hrWtw90eddv/ausqcXB4jIAnq039S+LJ/1iwEI29h1WHx/PJgwwH8E47OuNJ68qY6BrXJ6sN2QcDFgIgDbD+r//bU3+LLlB/Xrj6XMOz2nGxO+VnMGAhQB4N1u/Pibe6peW9YZVhlzBy5v1iwELNeCN4Vkm3hqPt4f1Gejqm1ZfHS9v1i8GLATA+6tNMh/BeLxRbxjoGoO3p6CD/HxxVfcOtue8vFmfGLCQZvkr9ie4qpo6r/99aj1vd1IZ6BqDt6cSFUXBivuvxqcPXevRv0OexYCFPH4fGGeMfWsHh2h1RoZAl/TPW1OJfm180bNrO4//HfIcBizkwBP3gWkK19XQNy0Tbq0Y4+qPEAKWknO25wxAyVkMWMiBNxsPDu8bh1braHDFW32xrm5744vbtC4K6RADFtIUe1fG4M3vkSNz+lVZU4v8Y6dtz+N6dNRkZI70SVXAkpGRgcGDByM4OBhhYWFITU3FwYMHm91n2LBhUBSlwWPkyJG2bSZMmNDg/REjRrh2RETkFVoNbHBkzhi2TL+eK9ySKm3UbLxt2zakpaVh8ODBOH/+PJ566ikMHz4c+/btQ7t2jSczffTRR6iurrY9P3XqFAYMGIAxY8Y4bDdixAi88847tucBAQFqikZEXqTlysiA44jOmbPVCPLz5YlPZyI7BGr6nXEmUX9UBSwbNmxweJ6VlYWwsDDk5+fjuuuua3SfTp06OTxfvnw52rZt2yBgCQgIQEREhJrikBsIIXC2mkPqpI4MCbdWic9vRVyPjuytkypjMnPx2V+vZZ3RkVblsJSUlABoGJQ0Z/HixbjrrrsajMhkZ2cjLCwMsbGxmDJlCk6dOtXkZ1RVVaG0tNThQepZE+Di5mzWuigAgJNnzjGBUie8dcPDpgT5+SKuR0fbcy4ERs7gwoP65nLAUldXh2nTpuGaa65B3759ndrnm2++wd69e3Hfffc5vD5ixAi899572LJlC1544QVs27YNKSkpqK1tvDJlZGQgNDTU9oiOjnb1MExNtgS4pJe2cclsHfD2DQ8bY81jyX70eu//cdIt5j/pm6opIXtpaWnYu3cvtm/f7vQ+ixcvRr9+/TBkyBCH1++66y7bv/v164f+/fvjkksuQXZ2Nm666aYGn5Oeno7p06fbnpeWljJoaaW8GUno3M5fs55y3m+Bk7Wn3Nbf5apJHmY/HdQ7UpuFBoELJ5+wkEBN/jbpl30Tx76Rvrg0wjJ16lR8+umn2Lp1K7p16+bUPhUVFVi+fDkmTpzY4rY9e/ZEly5dcPjw4UbfDwgIQEhIiMODWqetvzZJi9Yez8cPXuP1v02tt3qy9xYaJHI3jujqi6qARQiBqVOnYu3atfjyyy8RExPj9L6rVq1CVVUV/vznP7e47YkTJ3Dq1ClERkaqKR7plKIouCyivdbFIBcwViE1ZIgNmMeiX6oClrS0NCxduhTLli1DcHAwLBYLLBYLKisrbduMGzcO6enpDfZdvHgxUlNT0blzZ4fXy8vL8dhjj2HHjh04evQotmzZglGjRuHSSy9FcnKyi4dFzqg6zx8qEXnHhST/HK2LwTwWHVOVKLBw4UIAFxaDs/fOO+9gwoQJAIDCwkL4+DjGQQcPHsT27dvxxRdfNPhMX19f/Pe//8W7776LM2fOICoqCsOHD8ezzz7LtVg8SAiBfSd5dRWpJ0MvmfSnsqYW+4vKAGh3k1Urjgzqk6qAxZm5vuzs7AavxcbGNrlvUFAQNm7cqKYY1ErWy5ntrxAicobWC8Y1h4GUfnjzJqtkHLyXkAnVv5x5QLdQ3s+DnGJ/hZDWveT6mEApN/uvhrEKuYLXjprc+/cOQa/IYKl6Ozzn6IMMveQgP1/0igjGAUuZLYGSl8TLhyNz5A4cYTG5QRd3RNdgudayGL0whz1lHZAhxlUUBcsmxdues9rISaZbOdTHkTn9YMBCUrC/1HC/pYyXGpLTAu1Ofjz5yE+Gez7x0mZ9YsBCUuClhuSqID9f9I4IBsCTj6xky19he6NPDFhIGlwym1yhKApWT0nUuhjUBFnzV9je6A8DFpISh/ZJDRl67dQ4mfNXrNje6AMDFpIG55XlV1fHRp1cJ0P+ihXbG/1hwELS4Lyy3IQQuH2hfEP7pB+SxCoA2N7oEQMWkgrnleVVWVOLg8UXllaXdWifSA2ZAihqGQMWkhbnleUl09A+EZkDAxaSCueV9UHmWOUc6wyRITFgIalwXlleekm4HfvWTo7MERkQAxYTOvJzudZFaJbMvXezEkJgzCJ5E27tR+YOcqVkaQghcLZaH9/F2epaBrqSY8BiQueq67QuAulMZU0t9hfJm3DLkTn5CCEwOjMXcXM2a10Up8TN2cy8OckxYDEZIQTn+KlVZE24lbBIplZZU4v8Y6dtz+N6dJQu0A3y80Vcj46253nHTnN0TmK8D7uJWHs89o2I7NjZkQ8DA1Irb0YSOrfzly7QtY7Mnaqo1s1IkJlxhMVE6vd4BknY46mPQ7Ry4FdArdHW31e6YMVKURS09Ze7HaQLOMJiUu/fOwQJl3SWshGxJlDuKyq1Xdrc1p9VVSuy3ryOiMyFIywmFRLkBx8JgxWACZSy0cPN6+rjFR9ExsOAxUTs2+/LwtvDx0fOgAVgnoSsZE24rY9XfBAZDwMWk+CwPrmDzLEKr/ggMjYGLCahx2F9IjWsU4l5M5K0LgrpGAfl5MWAxYT0MqxPctBTA84rPuShp3pjj1OJ8mLAYkJ6i1XYdmiHU4nkCr3VG950VR8YsJD0RmfmsMejEU4lkivs601sRLD09YZXJuoDAxaSkn2PZ38Rb2YnA04lkiuW3Revi3qjgyKaHgMWk9DbAAV7PPJhg07Osm9vgnSYU6S39tIsGLCYgN7mk614gtQeG25SS6/tjT0m3sqJAYsJ2M8n99bBfDLJwQgnHvI+h/YmUj/tTZCfL3pHBgNg4q2sVAUsGRkZGDx4MIKDgxEWFobU1FQcPHiw2X2ysrKgKIrDIzAw0GEbIQRmzpyJyMhIBAUFISkpCYcOHVJ/NNSi1VMSdTGfXF9dHXs73saEW2qt1ZP1094oioLVkxO1LgY1Q1XAsm3bNqSlpWHHjh3YtGkTampqMHz4cFRUVDS7X0hICIqKimyPY8eOObw/d+5cvPbaa8jMzMTOnTvRrl07JCcn49y5c+qPiBqwH9nUSdvRwJhFHKL1Nvv/b70m3LLKaEtvVUZv5TUbVbfA3bBhg8PzrKwshIWFIT8/H9ddd12T+ymKgoiIiEbfE0LglVdewYwZMzBq1CgAwHvvvYfw8HCsW7cOd911l5oiUj16Hta3v2uz9Uoh3rXZe87bjWrptSEfnZmD9X8dqstgi4gctSqHpaSkBADQqVOnZrcrLy9Hjx49EB0djVGjRuH777+3vVdQUACLxYKkpN+X0w4NDUV8fDxyc/V5opWJw3oI4fqZTwZ4pZDW9Do6wUviiYzJ5YClrq4O06ZNwzXXXIO+ffs2uV1sbCyWLFmCjz/+GEuXLkVdXR0SExNx4sQJAIDFYgEAhIeHO+wXHh5ue6++qqoqlJaWOjyoZYsnxOmup6mz4hqGEAJj39qhdTFcwkCXyJhcHl9PS0vD3r17sX379ma3S0hIQELC741HYmIievfujUWLFuHZZ5916W9nZGTgmWeecWlfMwsO5HQKOaeyphb7i8oAAL10eGUZA10i43FphGXq1Kn49NNPsXXrVnTr1k3Vvn5+fhg4cCAOHz4MALbcluLiYoftiouLm8x7SU9PR0lJie1x/PhxF47CfPx89X0Vu16nKPTu3XsG625kzh7rjXcZ5f/bKMdhJKrOYEIITJ06FWvXrsWXX36JmJgY1X+wtrYW3333HSIjIwEAMTExiIiIwJYtW2zblJaWYufOnQ4jM/YCAgIQEhLi8CDj4z2FNKLfWAUAFwHzJj0n+dfHeiMfVQFLWloali5dimXLliE4OBgWiwUWiwWVlZW2bcaNG4f09HTb89mzZ+OLL77A//73P3z77bf485//jGPHjuG+++4DcGG+edq0aZgzZw7+9a9/4bvvvsO4ceMQFRWF1NRU9xwl6RYTKLUXHOindRFU4913taH3tXtYb+SmKmBZuHAhSkpKMGzYMERGRtoeK1assG1TWFiIoqIi2/PTp09j0qRJ6N27N/7whz+gtLQUOTk5uOKKK2zbPP7443jooYdw//33Y/DgwSgvL8eGDRsaLDBH5sMESnIF64329Lh2T/16wwEWuajKwnRmeCw7O9vh+csvv4yXX3652X0URcHs2bMxe/ZsNcUhk9BZm0eSsK83PPF4R1llje3fev3d2pd7TGYuPvvrtboLvIxK31mYZDo88ZArmI/geUII/GXJN1oXo9V4TyF5MWAxOKO10TzxkLOYj+BdlTW1+KG4HIC+bnpYn6IoWHE/pxNlxIDFwIySsc8TD7mCeSzaWT7pal1Po7Tx1W/ZjYwBi4HpPWPfiicecpWOz5m65teGpxZyP9Yqk9Bjxr49HRedJMGZRCJ9Y8BiEjzhk9kx/4lI3xiwGBjbZjK7ID9fxIbzig9yHdtReTBgMSijJNyS9wkhcLbaGCd2RVGw9L4hWheDdIwjc/Lg7XsNyigJt405W12LID9fXefkyEoIgdGZucg/dlrrorhNuwA2c6SOdS2W/UVltpG5tv6sR1rjCIsJ6D3htr64OZtx+0LeCNETKmtqHYKVuB4dDRXsEjlDURSsnpyodTGoHoaMJmCEWCXIzxdxPToi77eT6beFZ9jr8bC8GUno3M7fUMEukbNY7eXDERaDMtrgg3UtlrwZSVoXxTTa+nPajYjkwYDFgIyacKsoCtr6c3qCiMiMGLAYkH3CbWyEfu/pQd5Xfb5O6yKQDhnpyjKSFxMADG6NwRJuyXOEEBj71g6ti0E6Y8Qry0hOHGExOB8fBivknMqaWuwvKgOg77vtNsdouV0y4JVl5C0MWIiogRX3G3NkjouAeVbejCTDLaMAAOdrWWdkwICFiBpo42ucE06Qny+uiAwBwOX5Pc2oV5aNWcRAVwYMWIjI0KyXxBOpYR/oHrSUMdCVAAMWIjI8+04/O8rkDAa68mHAYkBskImaxjwWcpYBZ7d0jQGLwRh10Tii1gjy80WviGAAzGMh0isGLAZj5Ls0k2fV1Rl31EFRFKyZwpvZuZsQAqcrqrUuhldwUE57DFgM5pxdz9GIlxeSZwghMGaRsUfm+FNwL+uCcde8sFXrongFpxK1x4DFYEorz9v+zQaanGW/aBxH5sgZZlgwjpfEy4UBCxE54MgcqWXUBeN4pZBcGLAYiBCCPQByif1It8HOOeQFRl0wDuAl8TJhwGIQ1vnklFf/rXVRSGcu1J0crYtBJD3msWiLAYtB1J9PHti9g+Hmk8kzmL9C1DTmsciDAYsBvX/vELx/7xDDDtFana2uZW/HzYyYh0DUGsxjkQcDFgMK9DPufLK9uDmbMZpDtG5lgmpDpBp/F3JQFbBkZGRg8ODBCA4ORlhYGFJTU3Hw4MFm93nrrbcwdOhQdOzYER07dkRSUhK++eYbh20mTJgARVEcHiNGjFB/NAQACAsOgJ+vMWPRID9fxPXoaHuef+w0h2hJNca4RPqj6qy2bds2pKWlYceOHdi0aRNqamowfPhwVFRUNLlPdnY2xo4di61btyI3NxfR0dEYPnw4fvzxR4ftRowYgaKiItvjww8/dO2ICF1DAuDfxpgBi3V49stHr9e6KKRjty3M4cgckc60UbPxhg0bHJ5nZWUhLCwM+fn5uO666xrd54MPPnB4/vbbb2PNmjXYsmULxo0bZ3s9ICAAERERaopDJqUoCiJCArUuBumMNXlyX1EpDlrKUFlTi7b+qppAItJQq7rhJSUlAIBOnTo5vc/Zs2dRU1PTYJ/s7GyEhYUhNjYWU6ZMwalTp1pTNCIiB0yeJNI3l7sXdXV1mDZtGq655hr07dvX6f2eeOIJREVFISkpyfbaiBEjcNtttyEmJgZHjhzBU089hZSUFOTm5sLXt+ElllVVVaiqqrI9Ly0tdfUwiMhEmDxJpF8uByxpaWnYu3cvtm/f7vQ+zz//PJYvX47s7GwEBv4+pH/XXXfZ/t2vXz/0798fl1xyCbKzs3HTTTc1+JyMjAw888wzrhadDIapCETeV1vLHx55l0tTQlOnTsWnn36KrVu3olu3bk7tM3/+fDz//PP44osv0L9//2a37dmzJ7p06YLDhw83+n56ejpKSkpsj+PHj6s+BjIOrj5J5F1CCNzxprHv7t0UNjXaURWwCCEwdepUrF27Fl9++SViYmKc2m/u3Ll49tlnsWHDBsTFxbW4/YkTJ3Dq1ClERkY2+n5AQABCQkIcHmQuXH2SWquujmceV9mvjnx5eHtTrY7MDpJ2VAUsaWlpWLp0KZYtW4bg4GBYLBZYLBZUVlbathk3bhzS09Ntz1944QU8/fTTWLJkCS6++GLbPuXl5QCA8vJyPPbYY9ixYweOHj2KLVu2YNSoUbj00kuRnJzspsMko2ECpfuY9cR9O088bvH2+DjDL1TJDpIcVAUsCxcuRElJCYYNG4bIyEjbY8WKFbZtCgsLUVRU5LBPdXU1Ro8e7bDP/PnzAQC+vr7473//i//7v//D5ZdfjokTJ2LQoEH497//jYCAADcdJhmRwdtIrxBC4NivZ7UuhtfYn3islzZT6wQHGv/S8PodJMa52lBV05zpjWRnZzs8P3r0aLPbBwUFYePGjWqKQdQAGxD1rHf4tr9pptFZTzx9ZrHNaQ3731tAG3NMB9l3kMZk5uKzv15r+JEl2RhzOVQyHc4rq1f/Dt9xPTqaIheB55jWEUJgTKb5Em6D/HzROzIYAKeFtMKAxSDOVp/Xughex3ll9/nsr9fyTs3klMqaWuwrurD21RWRIaYIcoELo3OrJydqXQxTY8BiAEIIWEqqWt7QYJh46z4xXdqZMljhoFzrmC3INdGhSokBi85Z8xD++LrzC/gZCRsQag1OJbYOf3/kTQxYdK5+HsKAbqGmGaIlcgWnEon0iQGLgayanIAlEwabaojWHjvK5AxOJRLpEwMWA+kTFYLO7c27dg2H98lZ9jE9qwyRPjBgIV0L8vNFbHh7ABzeJ9cw0CXSBwYspGsXhvd5qSGpwzwWIv1hwEK618bXnDk75DrmsRDpDwMWIjIlk+amk5twFtH7GLAQmVRVTZ3WRSAdqj7PegMAty/MYe6TlzFg0Tn+XhyVV5nvFgWuEEJg7Fs7tC4G6YwQAncsMt99hKzsc58O8G7fXseARcfMehOy5pRVMmBxRmVNLQ5YygCY634w1DqVNbX4obgcgDnrDXOftMWARcfMehOy5lTW1HKYViWz3Q+G3MOs9caEhywNBiwGYdbGo74/vr6d62qoxGpDrmC9IW9jwGIQZm48gvx8Edejo+153rHTnFtuAeM5ItIbBiyke9Z55ffvHaJ1UXSBuU/kqtLKGq2LIBUG/t7FgIUMQVEUBDKHxynMfSJXCCEwfskurYshFU4/excDFjIMH9Zm1Zj7RM6qrKnFwWJeWcbbOmiHTbyOneMPxUHv3xoRap59h5CxCrnCzIEuL23WDgMWHSs7xzVHSB3mrzTup9JzHNpXwaSxio398bPaeA8DFh0T4C+F1GH+SuOGzd/GfARyCeuN9zBg0SkhBO5/L1/rYpCOmXlYH+Dl8OQ65rFogwGLTpl9iWxqPRPHKgB+z0XY/vgNWheFdIZ5LNpgwGIAZu8pE7lKURR0au+vdTFIh9jkeh8DFgPgD4eIiIyOAQsRERFJjwELERE1SwiBs9VMLCVttdG6AEREJC8hBEZn5iL/2Gmti0ImxxEWIhPhchGkVmVNrUOwEtejI69KJE2oClgyMjIwePBgBAcHIywsDKmpqTh48GCL+61atQq9evVCYGAg+vXrh/Xr1zu8L4TAzJkzERkZiaCgICQlJeHQoUPqjoSImsVVblvGgK552x+/gVclNoL1xjtUBSzbtm1DWloaduzYgU2bNqGmpgbDhw9HRUVFk/vk5ORg7NixmDhxInbv3o3U1FSkpqZi7969tm3mzp2L1157DZmZmdi5cyfatWuH5ORknDt3zvUjIyIHXOW2ZVy1tHmd2vszWGkE6413qApYNmzYgAkTJqBPnz4YMGAAsrKyUFhYiPz8pldcffXVVzFixAg89thj6N27N5599llcddVV+Oc//wngQq/vlVdewYwZMzBq1Cj0798f7733Hk6ePIl169a16uCIqHHsJf+Oq5aSK1hvvK9VOSwlJSUAgE6dOjW5TW5uLpKSkhxeS05ORm7uhaHpgoICWCwWh21CQ0MRHx9v24ZILd7JunmMVX7HVUvJFaw33ufyVUJ1dXWYNm0arrnmGvTt27fJ7SwWC8LDwx1eCw8Ph8Visb1vfa2pbeqrqqpCVVWV7XlpaalLx0DGdb6Ww7PkPN59t2n8/2gaA3/vcnmEJS0tDXv37sXy5cvdWR6nZGRkIDQ01PaIjo72ehm0JITAz2VVLW9oYuOWfMM5ZXIJ8xF+x0RtkolLAcvUqVPx6aefYuvWrejWrVuz20ZERKC4uNjhteLiYkRERNjet77W1Db1paeno6SkxPY4fvy4K4ehS9Y1Ea6fl611UaQT5OeLy8PbAwAOWMo4p1wPz8FNC/LzRe/IYADMR7DHRG2SiaqARQiBqVOnYu3atfjyyy8RExPT4j4JCQnYsmWLw2ubNm1CQsKFub+YmBhEREQ4bFNaWoqdO3fatqkvICAAISEhDg+z4JoITVMUBW+Pj9O6GFJiT7l5iqJg9eRErYshNSZqk9ZU5bCkpaVh2bJl+PjjjxEcHGzLMQkNDUVQUBAAYNy4cbjooouQkZEBAHj44Ydx/fXX48UXX8TIkSOxfPly5OXl4c033wRwoaGYNm0a5syZg8suuwwxMTF4+umnERUVhdTUVDceqvF8/cQNiOoQxEbETmiQn+3ftcxjsWFPuWX8GTWP/z/N4wim56kaYVm4cCFKSkowbNgwREZG2h4rVqywbVNYWIiioiLb88TERCxbtgxvvvkmBgwYgNWrV2PdunUOibqPP/44HnroIdx///0YPHgwysvLsWHDBgQGBrrhEI2rYzuuiVCfn+/vVfrON3cwF6ER7CkTuR9znzxP1QiLM19GdnZ2g9fGjBmDMWPGNLmPoiiYPXs2Zs+eraY4RA1Y10bYV1Rqy0Vo689bZtljrELkHmxvvIv3EiJD4doIjWPHj8j92N54FwMWMhyOIDhiwi2R57C98R4GLEQGZ59w2ysimAm3RB7CkUzPYsCiM/xBUGusmZLIhFtyGtsbdZh461kMWHSEQ/vqse1wxFiFnMX2xjm8CaL3MGDREa6loR57PESuYXvjHCbeeg8DFp3iWhpNY4+HyL3Y3jSP/zXewYBFp/gDaRp7PI44wKQeR+Ucsb0hGTBg0RG2oc5jA3sB8xBc80t5tdZFIKJ6GLDoBE88rjNzoGefhxDLS5qdNum9PI6yEEmGAYtO2J94ekfyxKMGE28vWPUA8xCaY5/79ENxuelzn/iTIdkwYNEhnnhaxsTbhtr4ss40h7lPv+OILsmIAYsO+fjwxNMSnnzIFewHXMBLml3HkSnPYcBChsWTD7UGTzwX8JJmdTgF7TkMWIiIGsETzwWMVVrGKWjvYMBCRPQbnnjIFZyC9g4GLEREv+GJ5wIOLKlnPxLF/z/PYMCiE/wBEHmH2U88vEKo9Tid6BkMWHSADQi5im1m65jxxMMrhFzD6UTPY8CiA2xAyBUMdF3DE8/veIWQ8xRFwcoHrta6GIbGgEVn2IC4xmSdZAAMdF3FPJbfsalRh2tkeRYDFp1hA+IaMw7t22Ogq47Z81iIZMSAhQzL7EP79idaxiquM3uwSyQLBixkWGYe2mf+SusE+fni8vD2AMwZ7BLJiAELGZpZRxaYv9I6iqLg/XuHaF0MIrLDgIVMw6yj+sxfcU1wkJ/WRSAiOwxYyDTMmovAWIXUMOFPhHSCAYsO/FxWpXURdCvIzxe9I4MBMBeBqCXMfXKfmvN1WhfBcBiwSE4IgUnv5WldDN1SFAWrJydqXQwiXWDuk/vc+eYOU47oehIDFslV1tTih+JyAGxAXMUpESL1mPuknv1SCgcsZRzRdTMGLDrCBoScxY4duYJr97SOmZdS8AbVActXX32FW265BVFRUVAUBevWrWt2+wkTJkBRlAaPPn362Lb5+9//3uD9Xr16qT4Yo2MDQs5gHgK5gvXGPdhOe47qgKWiogIDBgzAggULnNr+1VdfRVFRke1x/PhxdOrUCWPGjHHYrk+fPg7bbd++XW3RiFpkhpEH+zyEXhHBnEYkpzB/hWTXRu0OKSkpSElJcXr70NBQhIaG2p6vW7cOp0+fxj333ONYkDZtEBERobY4RKqMzszB+r8ONc3U2vL7rzbNsZL7cPqZZOT1HJbFixcjKSkJPXr0cHj90KFDiIqKQs+ePXH33XejsLCwyc+oqqpCaWmpw4OoKfaJcPuLzJUI59+GaWruUFF1XusieBVjFfcww4iuN3m1NTt58iQ+//xz3HfffQ6vx8fHIysrCxs2bMDChQtRUFCAoUOHoqysrNHPycjIsI3chIaGIjo62hvF10RdHWt8azERjlrrz4u/4SWqpJpZF6v0FK8GLO+++y46dOiA1NRUh9dTUlIwZswY9O/fH8nJyVi/fj3OnDmDlStXNvo56enpKCkpsT2OHz/uhdJ7nxACo5kE5xbsMZJa9iNzB3mJKjnJ7HeJ9ySvBSxCCCxZsgR/+ctf4O/v3+y2HTp0wOWXX47Dhw83+n5AQABCQkIcHkZUWVOLA5YLo0xMgiPyLo7MkStYbzzHawHLtm3bcPjwYUycOLHFbcvLy3HkyBFERkZ6oWT6wCQ4Iu/jT45cwXrjGaoDlvLycuzZswd79uwBABQUFGDPnj22JNn09HSMGzeuwX6LFy9GfHw8+vbt2+C9Rx99FNu2bcPRo0eRk5ODW2+9Fb6+vhg7dqza4hkKF3HyDKNPKRv9+Ij0hL9H91EdsOTl5WHgwIEYOHAgAGD69OkYOHAgZs6cCQAoKipqcIVPSUkJ1qxZ0+ToyokTJzB27FjExsbijjvuQOfOnbFjxw507dpVbfEMg4s4eY6RE+FYb4jkYuT2xttUr8MybNiwZv/zs7KyGrwWGhqKs2fPNrnP8uXL1RbD8LiIk3tZE+H2FZXaEuHa+quu/tJjvfEcnnPIWWZpb7yNizToAPNXWs+MiXCsN+5l9J5y9fk6rYtgGGZsb7yBAYsO8JzjHmb7fzTb8XqCWS5RFULgrjd3aF0MQ+Hvz/0YsBARNcEsPWUuoUB6wICFyEAMPGOhGfueshn+fzmVSLJiwEJkELxCyPOMnscCcCrDEwxeZbyGAQuZkhEbEF4h5BlmyGMx4u9BJmYIdL2BAYukamtZuT3J6A0Ih/Xdx+h5LByZ8wwzBLrexoBFQkII3PEmGxB3M1MDwljFvYz8/8mROc8weqCrBQYsEqqsqcX+ImbsuxsbEHIHAw/McWTOzfhf6V4MWCTHBsS9+F9JrWXk6UT+PjzHoFXGqxiwSIg3PSSSS5CfL3pHBgMw/nQieYaRA11vYcAiGSbAkavq6tgYeoqiKFg9OVHrYngEz6GeE+Tni9gIBrruwoBFMkyA854TpysN0+MRQuCORVxa3ZOMONrJDpJnKYqCFfdfrXUxDIMBi8SYv+JZw1/+yjDDtAx0yRWsN57n34anWXfh/6TEGKu4X5CfL+J6dLQ9zzt22nDDtAx0yRWsNyQ7BixkKtZLmz+aYsx8BICBLjmPCf7eZYDBXE0xYCHTURQF0Z2CtC4GkaaYv+J9RpmC1goDFjKldgFttC4C6ZgRzjnMX/GOID9f9OaVQm7BgIWISCWj9ZSZv+I5iqJgOa8UcgsGLJIxUBtIZChG7ikzVvEsP14p5Bb8X5SIEAKjF+ZoXQzSId7d2/N4LyoibTFgkUhlTS32W3jTQ1JHCIExi5g86Q0+PhyKINIKAxZJcU6ZnFVZU4sDDHSJyOAYsEiKsQq5goEuERkVAxaJMOGWWouxChEZFQMWSXARJyJ90XsHg3f3Jr1hwCIJLuJEpC96XouFidra0WmVkQIDFgkxD8G79N6A6L38ehLk54srIkMA6HstlsqaWuwvYqK2FvQc6GqNAYuEGKt4l54bECEERmdy7R5vMeJaLOwgeZ5RAl2tMWAhUzJKA8KesvcZ7dxutOORkREDXS0wYCFTMmIDwp4ykbz402w91QHLV199hVtuuQVRUVFQFAXr1q1rdvvs7GwoitLgYbFYHLZbsGABLr74YgQGBiI+Ph7ffPON2qIRqWKEBsR+JssIx0NE1BTVAUtFRQUGDBiABQsWqNrv4MGDKCoqsj3CwsJs761YsQLTp0/HrFmz8O2332LAgAFITk7GTz/9pLZ4uqXTFArSEC+FJ1eVVNZoXQQi1dqo3SElJQUpKSmq/1BYWBg6dOjQ6HsvvfQSJk2ahHvuuQcAkJmZic8++wxLlizBk08+qfpv6Q1PPNqrrK5FW3/VPwdN8VJ47emxoyGEwJmzDFi0dOZste7aGxl4LYflyiuvRGRkJG6++WZ8/fXXtterq6uRn5+PpKSk3wvl44OkpCTk5jZ+Eq+qqkJpaanDQ8944tHe3W/v1O2VQgDzV7QyOjNHV/XmwlVluUh59d9aF8XUJryzS1f1RhYeD1giIyORmZmJNWvWYM2aNYiOjsawYcPw7bffAgB++eUX1NbWIjw83GG/8PDwBnkuVhkZGQgNDbU9oqOjPX0YXsMTj/fYXyl0wFKm2yuFAOaveJN9vdlfpK96U1lTi/xjp23P43p0ZAfJS+zrzQ/F5bqqN7LweMASGxuLBx54AIMGDUJiYiKWLFmCxMREvPzyyy5/Znp6OkpKSmyP48ePu7HE3sfESW0Y8Uoh8jyj1JuVD1zNDpIXGaXeaEmTSbQhQ4Zg+/btAIAuXbrA19cXxcXFDtsUFxcjIiKi0f0DAgIQEBDg8XJ6A/NXtGXfVnOElpxlhHrT96JQBitexv/u1tFkHZY9e/YgMjISAODv749BgwZhy5Yttvfr6uqwZcsWJCQYPxpl/oo89LziLWmH9YbIO1SPsJSXl+Pw4cO25wUFBdizZw86deqE7t27Iz09HT/++CPee+89AMArr7yCmJgY9OnTB+fOncPbb7+NL7/8El988YXtM6ZPn47x48cjLi4OQ4YMwSuvvIKKigrbVUNmweFZ77POK+8rKrWteMvsfWoJ6w2R96n+heXl5eGGG26wPZ8+fToAYPz48cjKykJRUREKCwtt71dXV+ORRx7Bjz/+iLZt26J///7YvHmzw2fceeed+PnnnzFz5kxYLBZceeWV2LBhQ4NEXKNjrOJ91nnlPrM2al0U1dip146e6w2RXqkOWIYNG9bs8GdWVpbD88cffxyPP/54i587depUTJ06VW1xiFpNj4GiEAKjF/Kmh1oyQh4LkZ7wXkJEOlRZU4v9Ft70UBbMYyHyPAYsRHb0eM5h7pM2gvx80SsiGIB+7vitx/ptVGera3UT5AohcLb6PM5Wn9e0zAxYNKaT+moaeuwpM1bRhqIoWPWAfq5k5BIKcombs1kX7Y11deQrZm7EFTM3ahqYM2DREBsQOdivQMmeMqnh66ufaNF+CYXLw9tzGlEDQX6+iOvR0fY879hp6dub+qsja4kBi4a4Bosc9LYCJQNdaq0V93MaUQvWtmbX/7tJ66K4JG9GkqbnKQYskmAegrb0dMUHA11qrQA/Nv1aURQF7QL0uWZPW39fTc9TrLWSYKwiDz3MK1sx0CUiT5KpKWTAoiGZKoLZ6eWKDyEEjvxUbnvOWIWIPEW26WcGLBqRrSKYnaIoWDMlUetiNMuarX/LP7/WuijUCHZAyBUy1xvZpp8ZsGhEtopA8o9W1M/Wj+vRkfVGIrJPJUpcNFOTvd5YyTD9zIBFI/b1U4aKQPry6UPXYuUDV7PeaCzIzxe9I/UxlTg6k7dykIUel1KQoalhwKKB+tNBMlQE0peeXdvBx4c/X60pioLVk+WeSgR+u5VDEW/lIAtFUbDygau1LobusMXTgP10UK+IYDYeRDqmp0viAY7oysLHh9+BWgxYNLbyATYeMtLDiYfko4d8BDY38pG8ykiDAYvG2uhoaW8z0cOJh+Qgez6CEAIlZ2u0LgY1Y3RmjpTtjWxFYsBC9JsgP1/E6mAtFpKLzLd2sF4Kn/D8l1oXheoJ8vNF79/am/1FZdK1NzIuvcGAheg3iqJg+SQmwpF6sk6z8FJ4eSmKgtUSr/1kn2vZW5JcS33e0IDIQ3iPFTKqnek3IiwkkDlzEtHLV7F6SqIU9YatMxGRCQQH+Ulx0iH9kaXaMGAhIiIiB7Il3AIMWDQhY0UgIiIC5Ey4BRiweB2XyCYyNnZISO9kvdcdAxYv4xLZ+vFrebWUayOQ3G5bKOeaGkSukGllZAYsGpKpIlBD187dygXkyCn2i8cdtMi3pgbJr+CXCinbGplOUQxYNCRTRaALgvx8Edejo+153rHTUpx8hBA4aCnTuhjUBJkXjyN9GPnadmk6SBIUoVEMWLxICIGfy6q0LgY1w3riyZuRpHVRHAghUH7uvNbFoGbI2AGR9cRDF8jYQZI14RbgwnFeY10i237VSZKToiho6y9PbpEQAmMW7WDd0REZAgWZTzx0gbWD9HNZFYY8t0Xr4gCQN+EW4AiL13CJbHJV/bpzVfcOrDuSk2Fo3/7EEyvJ0urUkKIoaB/4+9hBzfk6DUvjSLY8SwYsGsh+9HrpKgI1Tevesv3ff//eIVg2KZ51R0Ky3bXZvt58JMnS6tSyu97aoWmwa/+nZasyDFg0wPt56IuWveX6w/qDLu6IQD/O5MpIpsTb+vWGzY3c7O8Ur+Wdm2WfRmTAQtSIID9fXB7eHoC2vWWZ55OpIVkCA9YbfVEUBWskCHbt683l4e2lqzeqA5avvvoKt9xyC6KioqAoCtatW9fs9h999BFuvvlmdO3aFSEhIUhISMDGjRsdtvn73/8ORVEcHr169VJbNCK3URQFH066WutiOOA0or5oPZVoxXqjDz4+cn1Hax+8Rrp6ozpgqaiowIABA7BgwQKntv/qq69w8803Y/369cjPz8cNN9yAW265Bbt373bYrk+fPigqKrI9tm/frrZoUpOl8SLnBdldKSTD9ydZ20EtkCHxFmC9IdfIWG9UT4anpKQgJSXF6e1feeUVh+fPPfccPv74Y3zyyScYOHDg7wVp0wYRERFqi6MLss8LUsvGZObis79eK12Pg+RiTbzdV1Rqm0ps6+/9nCMJ4iQit/N6DktdXR3KysrQqVMnh9cPHTqEqKgo9OzZE3fffTcKCwub/IyqqiqUlpY6PGQm+7wgNS7Izxe9fkuEk+GqD5KfDIm37CCRq2QPdL0esMyfPx/l5eW44447bK/Fx8cjKysLGzZswMKFC1FQUIChQ4eirKzxpcgzMjIQGhpqe0RHR3ur+K22eHwce+k6oSgK1kxJ1LoYpDNa/7y5/gq5Qg+BrlcDlmXLluGZZ57BypUrERYWZns9JSUFY8aMQf/+/ZGcnIz169fjzJkzWLlyZaOfk56ejpKSEtvj+PHj3jqEVuvcPkDrIpAKWp98SN+07rGueoAJt+QcPVxZ5rWAZfny5bjvvvuwcuVKJCU1f5+WDh064PLLL8fhw4cbfT8gIAAhISEOD5lp3WgRkTa0Trxt48tghdST9coyrwQsH374Ie655x58+OGHGDlyZIvbl5eX48iRI4iMjPRC6TxLD8NsJCchBM5WM29Gb2Rb8Zb0x1JyTtNAV8JYBYALAUt5eTn27NmDPXv2AAAKCgqwZ88eW5Jseno6xo0bZ9t+2bJlGDduHF588UXEx8fDYrHAYrGgpKTEts2jjz6Kbdu24ejRo8jJycGtt94KX19fjB07tpWHpz0m3JIrrDfLjJuzWeuikEoyJN6Svt344javj87pYSZAdcCSl5eHgQMH2i5Jnj59OgYOHIiZM2cCAIqKihyu8HnzzTdx/vx5pKWlITIy0vZ4+OGHbducOHECY8eORWxsLO644w507twZO3bsQNeuXVt7fFJZyflkchJvlqlv9j9zPZwISHtBfr6I69HR9jzv2Gmvjc7pZSZA9QIBw4YNazbqy8rKcnienZ3d4mcuX75cbTF0yb8N74SgZ2eraxHk5+v1oDNvRhI6t/NnsKtTozNzsP6vQ73y/XEaUb+sI3OnKqq9PrJqPxPQO1LeK8t4BiVyUtyczV4bprX/E239vR8kUevY57F462Z2nEbUP0VR0NZf22Bh9WR57+zNgIWoGVoM0+pleJaapkUeS/1pxEGcRiQn2XeQJI1VALgwJURkJloM0zJR2xi0zGNZ92Ai+l4UKm1PmeShpw4SR1iIWqDlMO179w7hSccAvH3Fx+URwWjjy+adWqaX/BWAAQuR1EKC/LQuArmI67FQa52trvV4oGv/8TLnrwAMWDyKGfvGxMtUyRlcj4Vay9OJ/vWngySOVQAwYPEYZuwbl9bLrZN+eDOPhVXSGLyZ6K+H+wfZY8DiIVz4y1iC/HzROzIYAIf3yTW3vZHjtZ4y6Zd1ZC5vRvP33HM3We8fZI8BixfkzUjSRWWgpimKgtWTE73yt85WMRgyCvs8loPFnluPRU+Jk9Sy+on+nho908vlzFYMWLyAC38ZgzeG94UQ+PPinZ75cPI6LfJYVtzPzpHReGIaWo+jcgxYiFwwOtMzw/uVNbU4YCkDoI85ZWqZN2IH+6rYxpfBihF4+iozh1G5CH2MyjFg8RAmwBmPt5dbX3H/1ewpU4v02FOmlnlzdG71FLkvZ7ZiwOIBbECMydMNSP3L4H3ZUzYcT6yrobcrPch5npyG1lv+CsCAxSOYAGdcnvph8zJ4c/D0uhpM7jcud9YbvXaqGbB4mOwrB5IceBm8cXl6XQ099pTJOZ7KY7HvVMfq6H5lDFjcrP6wPhsQUouXwRuLJ9fV0GtPmZxTfxraEwNzHz14jW7aGgYsbsRhfXPx1H0+eBm88dRfV8NddYfTz8Zn3xR4YjpRT00NAxY34rC+ucTN2YzbF7a+AeE9p8zHE7ksnH42piA/X/SKcO8q23q9ipUBi4dwWN+Y6ucjfFvYunwEjsqZR5CfL67q3sH23B25LMxfMT5FUbBmivtW2dbzNCIDFg/hsL4xuTsfof6o3MDuHTgqZ1CKomDVAwnY+uj1bvm8C8Fujls+i+TmzsubHRJudbJgnBUDFiKVPJWPkDcjCR/pZAEnco2vrw/CQwLd8lmVNbXYX8RVkc3Gnats6629YcBC1EqtyUew34WjcubjrmCX08/G5s5VtvU8jciAxY3Kz53XugjkJe5YW0PPc8nkHu4KdvV24iF13HV5s96nERmwuIkQAn9Z8o3WxSAvcUcui/1c8uU6WryJWifIzxcDW5l8K4TAbQv1e+Ih9dxxebPepxEZsLhJZU0tDv52l12uh2AO9XNZWjOyn3XPYA7pm4SiKPhoSmKrg92DvKu3qbh71Vs9TiMyYHGD+utocD0Ec2rNuhod2vq7uTQks/rBrhr12xs9nnhIvdbefNUIq7C30boAemddR8P+0lQ9VgRyTZCfL3pHBGO/pczW62nr3/LPiovFkb2z1bUI8ms56VoIgdsX5uDbwjO219jemIf9d+1snQEaP0/pEUdYWomr25qboihYrXJRJy4WR/U5m3xbWVPrEKywvTEvNQnbRjlPcYTFjfJmJKFzO38Oz5pM/V4PgGZ7PvUbj6u4WJwpWZNvd/8WgFiTb50ZoQPY3piR9erEvN/aD7V1BtB3vWHA0gr1h/W5jgZZR03ienR0KrdAz40HtY41+fZURbVLo21sb8zHmsdiX2fsz0GNdZSMdJ5iwOKiC3PJufi2UN9zgtR69Xs9gPM9Hz03HtR6ja2a3BzmPVH9OmMf7NbvKBkld8VKdcDy1VdfYd68ecjPz0dRURHWrl2L1NTUZvfJzs7G9OnT8f333yM6OhozZszAhAkTHLZZsGAB5s2bB4vFggEDBuD111/HkCFD1BbPay7MJf9eCQbpdE6QWs/a66msqcXZ6tpGez72eNKhpjCviZxhvZGmfT4T0LCjVH/6We/nKdUBS0VFBQYMGIB7770Xt912W4vbFxQUYOTIkZg8eTI++OADbNmyBffddx8iIyORnJwMAFixYgWmT5+OzMxMxMfH45VXXkFycjIOHjyIsLAw9UflZTufuglhwQHsKZvYhV6P48+JJx9yRmMjdC3Ra9IkuYf1Ds7WtVjsO0pNMcL0s+qAJSUlBSkpKU5vn5mZiZiYGLz44osAgN69e2P79u14+eWXbQHLSy+9hEmTJuGee+6x7fPZZ59hyZIlePLJJ9UW0W2EEE0uzmPfSw4ObKPrSkDu01TPpzF67+2Qe1hH6Eoqa5za3kcBggP92OaYXGOdJMDx3GSU3BUrj+ew5ObmIinJcUXH5ORkTJs2DQBQXV2N/Px8pKen29738fFBUlIScnMbv89KVVUVqqqqbM9LS0vdX3BcGE67YuZGj3w2GZO153O2uuX7SrX1Z6BLFyiKwsUDyS2MPLLr8XVYLBYLwsPDHV4LDw9HaWkpKisr8csvv6C2trbRbSwWS6OfmZGRgdDQUNsjOjraY+VvCYdmqT5FUdAuwK/FB4MVInKH+jdjrc8oo7m6vEooPT0d06dPtz0vLS31SNAS5OeLfbOTW9yGJx4iItKKfeJ/Y4xynvJ4wBIREYHi4mKH14qLixESEoKgoCD4+vrC19e30W0iIiIa/cyAgAAEBAR4rMxWTc0REhERycQM5yuPTwklJCRgy5YtDq9t2rQJCQkXbuLk7++PQYMGOWxTV1eHLVu22LYhIiIic1MdsJSXl2PPnj3Ys2cPgAuXLe/ZsweFhYUALkzXjBs3zrb95MmT8b///Q+PP/44Dhw4gDfeeAMrV67E3/72N9s206dPx1tvvYV3330X+/fvx5QpU1BRUWG7aoiIiIjMTfX4UV5eHm644Qbbc2suyfjx45GVlYWioiJb8AIAMTEx+Oyzz/C3v/0Nr776Krp164a3337bdkkzANx55534+eefMXPmTFgsFlx55ZXYsGFDg0RcIiIiMidFOHOrR8mVlpYiNDQUJSUlCAkJ0bo4RERE5AQ152+P57AQERERtRYDFiIiIpIeAxYiIiKSHgMWIiIikh4DFiIiIpIeAxYiIiKSHgMWIiIikh4DFiIiIpIeAxYiIiKSHgMWIiIikp4h7kVtvbtAaWmpxiUhIiIiZ1nP287cJcgQAUtZWRkAIDo6WuOSEBERkVplZWUIDQ1tdhtD3Pywrq4OJ0+eRHBwMBRFcdvnlpaWIjo6GsePHzfsTRWNfoxGPz7A+Mdo9OMDjH+MRj8+wPjH6KnjE0KgrKwMUVFR8PFpPkvFECMsPj4+6Natm8c+PyQkxJAV0J7Rj9HoxwcY/xiNfnyA8Y/R6McHGP8YPXF8LY2sWDHploiIiKTHgIWIiIikx4ClGQEBAZg1axYCAgK0LorHGP0YjX58gPGP0ejHBxj/GI1+fIDxj1GG4zNE0i0REREZG0dYiIiISHoMWIiIiEh6DFiIiIhIegxYiIiISHqmDlj+8Y9/IDExEW3btkWHDh0a3aawsBAjR45E27ZtERYWhsceewznz59v9nN//fVX3H333QgJCUGHDh0wceJElJeXe+AI1MnOzoaiKI0+du3a1eR+w4YNa7D95MmTvVhydS6++OIG5X3++eeb3efcuXNIS0tD586d0b59e9x+++0oLi72Uomdd/ToUUycOBExMTEICgrCJZdcglmzZqG6urrZ/WT/DhcsWICLL74YgYGBiI+PxzfffNPs9qtWrUKvXr0QGBiIfv36Yf369V4qqXoZGRkYPHgwgoODERYWhtTUVBw8eLDZfbKyshp8X4GBgV4qsTp///vfG5S1V69eze6jp+8PaLxNURQFaWlpjW4v+/f31Vdf4ZZbbkFUVBQURcG6desc3hdCYObMmYiMjERQUBCSkpJw6NChFj9X7e9YLVMHLNXV1RgzZgymTJnS6Pu1tbUYOXIkqqurkZOTg3fffRdZWVmYOXNms59799134/vvv8emTZvw6aef4quvvsL999/viUNQJTExEUVFRQ6P++67DzExMYiLi2t230mTJjnsN3fuXC+V2jWzZ892KO9DDz3U7PZ/+9vf8Mknn2DVqlXYtm0bTp48idtuu81LpXXegQMHUFdXh0WLFuH777/Hyy+/jMzMTDz11FMt7ivrd7hixQpMnz4ds2bNwrfffosBAwYgOTkZP/30U6Pb5+TkYOzYsZg4cSJ2796N1NRUpKamYu/evV4uuXO2bduGtLQ07NixA5s2bUJNTQ2GDx+OioqKZvcLCQlx+L6OHTvmpRKr16dPH4eybt++vclt9fb9AcCuXbscjm/Tpk0AgDFjxjS5j8zfX0VFBQYMGIAFCxY0+v7cuXPx2muvITMzEzt37kS7du2QnJyMc+fONfmZan/HLhEk3nnnHREaGtrg9fXr1wsfHx9hsVhsry1cuFCEhISIqqqqRj9r3759AoDYtWuX7bXPP/9cKIoifvzxR7eXvTWqq6tF165dxezZs5vd7vrrrxcPP/ywdwrlBj169BAvv/yy09ufOXNG+Pn5iVWrVtle279/vwAgcnNzPVBC95o7d66IiYlpdhuZv8MhQ4aItLQ02/Pa2loRFRUlMjIyGt3+jjvuECNHjnR4LT4+XjzwwAMeLae7/PTTTwKA2LZtW5PbNNUmyWjWrFliwIABTm+v9+9PCCEefvhhcckll4i6urpG39fT9wdArF271va8rq5OREREiHnz5tleO3PmjAgICBAffvhhk5+j9nfsClOPsLQkNzcX/fr1Q3h4uO215ORklJaW4vvvv29ynw4dOjiMWCQlJcHHxwc7d+70eJnV+Ne//oVTp07hnnvuaXHbDz74AF26dEHfvn2Rnp6Os2fPeqGErnv++efRuXNnDBw4EPPmzWt2Gi8/Px81NTVISkqyvdarVy90794dubm53ihuq5SUlKBTp04tbifjd1hdXY38/HyH/3sfHx8kJSU1+X+fm5vrsD1w4Xeph+8KuPB9AWjxOysvL0ePHj0QHR2NUaNGNdnmyODQoUOIiopCz549cffdd6OwsLDJbfX+/VVXV2Pp0qW49957m73Zrp6+P3sFBQWwWCwO31FoaCji4+Ob/I5c+R27whA3P/QUi8XiEKwAsD23WCxN7hMWFubwWps2bdCpU6cm99HK4sWLkZyc3OKNI//0pz+hR48eiIqKwn//+1888cQTOHjwID766CMvlVSdv/71r7jqqqvQqVMn5OTkID09HUVFRXjppZca3d5iscDf379BHlN4eLh031l9hw8fxuuvv4758+c3u52s3+Evv/yC2traRn9nBw4caHSfpn6Xsn9XwIU7y0+bNg3XXHMN+vbt2+R2sbGxWLJkCfr374+SkhLMnz8fiYmJ+P777z16o1dXxMfHIysrC7GxsSgqKsIzzzyDoUOHYu/evQgODm6wvZ6/PwBYt24dzpw5gwkTJjS5jZ6+v/qs34Oa78iV37ErDBewPPnkk3jhhRea3Wb//v0tJoXpiSvHfOLECWzcuBErV65s8fPt82/69euHyMhI3HTTTThy5AguueQS1wuugppjnD59uu21/v37w9/fHw888AAyMjKkXTbble/wxx9/xIgRIzBmzBhMmjSp2X1l+A4JSEtLw969e5vN8QCAhIQEJCQk2J4nJiaid+/eWLRoEZ599llPF1OVlJQU27/79++P+Ph49OjRAytXrsTEiRM1LJlnLF68GCkpKYiKimpyGz19f3piuIDlkUceaTbyBYCePXs69VkRERENspytV45EREQ0uU/9JKPz58/j119/bXKf1nLlmN955x107twZ//d//6f678XHxwO40Lv31smuNd9rfHw8zp8/j6NHjyI2NrbB+xEREaiursaZM2ccRlmKi4s99p3Vp/b4Tp48iRtuuAGJiYl48803Vf89Lb7DxnTp0gW+vr4Nrshq7v8+IiJC1faymDp1qi0JX20v28/PDwMHDsThw4c9VDr36dChAy6//PImy6rX7w8Ajh07hs2bN6semdTT92f9HoqLixEZGWl7vbi4GFdeeWWj+7jyO3aJ27JhdKylpNvi4mLba4sWLRIhISHi3LlzjX6WNek2Ly/P9trGjRulSrqtq6sTMTEx4pFHHnFp/+3btwsA4j//+Y+bS+YZS5cuFT4+PuLXX39t9H1r0u3q1attrx04cEDapNsTJ06Iyy67TNx1113i/PnzLn2GTN/hkCFDxNSpU23Pa2trxUUXXdRs0u0f//hHh9cSEhKkTdqsq6sTaWlpIioqSvzwww8ufcb58+dFbGys+Nvf/ubm0rlfWVmZ6Nixo3j11VcbfV9v35+9WbNmiYiICFFTU6NqP5m/PzSRdDt//nzbayUlJU4l3ar5HbtUVrd9kg4dO3ZM7N69WzzzzDOiffv2Yvfu3WL37t2irKxMCHGhkvXt21cMHz5c7NmzR2zYsEF07dpVpKen2z5j586dIjY2Vpw4ccL22ogRI8TAgQPFzp07xfbt28Vll10mxo4d6/Xja8rmzZsFALF///4G7504cULExsaKnTt3CiGEOHz4sJg9e7bIy8sTBQUF4uOPPxY9e/YU1113nbeL7ZScnBzx8ssviz179ogjR46IpUuXiq5du4px48bZtql/jEIIMXnyZNG9e3fx5Zdfiry8PJGQkCASEhK0OIRmnThxQlx66aXipptuEidOnBBFRUW2h/02evoOly9fLgICAkRWVpbYt2+fuP/++0WHDh1sV+f95S9/EU8++aRt+6+//lq0adNGzJ8/X+zfv1/MmjVL+Pn5ie+++06rQ2jWlClTRGhoqMjOznb4vs6ePWvbpv4xPvPMM2Ljxo3iyJEjIj8/X9x1110iMDBQfP/991ocQrMeeeQRkZ2dLQoKCsTXX38tkpKSRJcuXcRPP/0khND/92dVW1srunfvLp544okG7+nt+ysrK7Od7wCIl156SezevVscO3ZMCCHE888/Lzp06CA+/vhj8d///leMGjVKxMTEiMrKSttn3HjjjeL111+3PW/pd+wOpg5Yxo8fLwA0eGzdutW2zdGjR0VKSooICgoSXbp0EY888ohDdL1161YBQBQUFNheO3XqlBg7dqxo3769CAkJEffcc48tCJLB2LFjRWJiYqPvFRQUOPwfFBYWiuuuu0506tRJBAQEiEsvvVQ89thjoqSkxIsldl5+fr6Ij48XoaGhIjAwUPTu3Vs899xzDiNi9Y9RCCEqKyvFgw8+KDp27Cjatm0rbr31VocgQBbvvPNOo3XWfrBUj9/h66+/Lrp37y78/f3FkCFDxI4dO2zvXX/99WL8+PEO269cuVJcfvnlwt/fX/Tp00d89tlnXi6x85r6vt555x3bNvWPcdq0abb/j/DwcPGHP/xBfPvtt94vvBPuvPNOERkZKfz9/cVFF10k7rzzTnH48GHb+3r//qw2btwoAIiDBw82eE9v35/1vFX/YT2Guro68fTTT4vw8HAREBAgbrrppgbH3aNHDzFr1iyH15r7HbuDIoQQ7ptgIiIiInI/rsNCRERE0mPAQkRERNJjwEJERETSY8BCRERE0mPAQkRERNJjwEJERETSY8BCRERE0mPAQkRERNJjwEJERETSY8BCRERE0mPAQkRS+vnnnxEREYHnnnvO9lpOTg78/f2xZcsWDUtGRFrgvYSISFrr169HamoqcnJyEBsbiyuvvBKjRo3CSy+9pHXRiMjLGLAQkdTS0tKwefNmxMXF4bvvvsOuXbsQEBCgdbGIyMsYsBCR1CorK9G3b18cP34c+fn56Nevn9ZFIiINMIeFiKR25MgRnDx5EnV1dTh69KjWxSEijXCEhYikVV1djSFDhuDKK69EbGwsXnnlFXz33XcICwvTumhE5GUMWIhIWo899hhWr16N//znP2jfvj2uv/56hIaG4tNPP9W6aETkZZwSIiIpZWdn45VXXsH777+PkJAQ+Pj44P3338e///1vLFy4UOviEZGXcYSFiIiIpMcRFiIiIpIeAxYiIiKSHgMWIiIikh4DFiIiIpIeAxYiIiKSHgMWIiIikh4DFiIiIpIeAxYiIiKSHgMWIiIikh4DFiIiIpIeAxYiIiKSHgMWIiIikt7/B4dJ0EBrFFqBAAAAAElFTkSuQmCC", + "image/png": "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", "text/plain": [ "
" ] @@ -3845,13 +3205,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.96, -9.66)\": 1.0, \"(-9.66, -9.56)\": 1.022, \"(-9.56, -9.48)\": 1.047, \"(-9.48, -9.42)\": 1.068, \"(-9.42, -9.34)\": 1.108, \"(-9.34, -9.29)\": 1.129, \"(-9.29, -9.23)\": 1.167, \"(-9.23, -9.19)\": 1.19, \"(-9.19, -9.14)\": 1.225, \"(-9.14, -9.09)\": 1.256, \"(-9.09, -9.04)\": 1.299, \"(-9.04, -8.99)\": 1.329, \"(-8.99, -8.97)\": 1.352, \"(-8.97, -8.93)\": 1.386, \"(-8.93, -8.9)\": 1.408, \"(-8.9, -8.86)\": 1.434, \"(-8.86, -8.83)\": 1.458, \"(-8.83, -8.8)\": 1.483, \"(-8.8, -8.78)\": 1.507, \"(-8.78, -8.76)\": 1.528, \"(-8.76, -8.73)\": 1.554, \"(-8.73, -8.69)\": 1.584, \"(-8.69, -8.67)\": 1.606, \"(-8.67, -8.63)\": 1.636, \"(-8.63, -8.6)\": 1.663, \"(-8.6, -8.58)\": 1.693, \"(-8.58, -8.55)\": 1.715, \"(-8.55, -8.52)\": 1.739, \"(-8.52, -8.47)\": 1.791, \"(-8.47, -8.44)\": 1.828, \"(-8.44, -8.42)\": 1.849, \"(-8.42, -8.4)\": 1.876, \"(-8.4, -8.36)\": 1.9, \"(-8.36, -8.34)\": 1.933, \"(-8.34, -8.32)\": 1.954, \"(-8.32, -8.25)\": 1.985, \"(-8.25, -8.19)\": 2.072, \"(-8.19, -8.17)\": 2.105, \"(-8.17, -8.13)\": 2.129, \"(-8.13, -8.03)\": 2.19, \"(-8.03, -7.96)\": 2.298, \"(-7.96, -7.91)\": 2.332, \"(-7.91, -7.86)\": 2.386, \"(-7.86, -7.83)\": 2.415, \"(-7.83, -7.8)\": 2.443, \"(-7.8, -7.77)\": 2.471, \"(-7.77, -7.73)\": 2.509, \"(-7.73, -7.69)\": 2.535, \"(-7.69, -7.66)\": 2.573, \"(-7.66, -7.57)\": 2.609, \"(-7.57, -7.46)\": 2.708, \"(-7.46, -7.41)\": 2.752, \"(-7.41, -7.38)\": 2.774, \"(-7.38, -7.33)\": 2.797, \"(-7.33, -7.3)\": 2.821, \"(-7.3, -7.24)\": 2.843, \"(-7.24, -7.19)\": 2.873, \"(-7.19, -7.1)\": 2.9, \"(-7.1, -7.02)\": 2.934, \"(-7.02, -6.92)\": 2.955, \"(-6.92, -6.77)\": 2.977, \"(-6.77, -6.49)\": 2.998, \"(-6.49, -6.4)\": 2.971, \"(-6.4, -6.34)\": 2.951, \"(-6.34, -6.27)\": 2.924, \"(-6.27, -6.21)\": 2.903, \"(-6.21, -6.15)\": 2.863, \"(-6.15, -6.1)\": 2.843, \"(-6.1, -6.06)\": 2.814, \"(-6.06, -6.01)\": 2.788, \"(-6.01, -5.95)\": 2.743, \"(-5.95, -5.91)\": 2.72, \"(-5.91, -5.88)\": 2.688, \"(-5.88, -5.84)\": 2.666, \"(-5.84, -5.82)\": 2.643, \"(-5.82, -5.79)\": 2.621, \"(-5.79, -5.77)\": 2.6, \"(-5.77, -5.74)\": 2.575, \"(-5.74, -5.7)\": 2.551, \"(-5.7, -5.66)\": 2.516, \"(-5.66, -5.62)\": 2.483, \"(-5.62, -5.59)\": 2.45, \"(-5.59, -5.56)\": 2.428, \"(-5.56, -5.48)\": 2.406, \"(-5.48, -5.4)\": 2.275, \"(-5.4, -5.36)\": 2.234, \"(-5.36, -5.33)\": 2.205, \"(-5.33, -5.29)\": 2.169, \"(-5.29, -5.27)\": 2.145, \"(-5.27, -5.2)\": 2.115, \"(-5.2, -5.12)\": 1.993, \"(-5.12, -5.09)\": 1.97, \"(-5.09, -5.05)\": 1.926, \"(-5.05, -5.02)\": 1.899, \"(-5.02, -4.99)\": 1.872, \"(-4.99, -4.96)\": 1.832, \"(-4.96, -4.92)\": 1.803, \"(-4.92, -4.86)\": 1.76, \"(-4.86, -4.84)\": 1.715, \"(-4.84, -4.81)\": 1.69, \"(-4.81, -4.79)\": 1.667, \"(-4.79, -4.77)\": 1.647, \"(-4.77, -4.71)\": 1.625, \"(-4.71, -4.64)\": 1.538, \"(-4.64, -4.59)\": 1.501, \"(-4.59, -4.56)\": 1.475, \"(-4.56, -4.53)\": 1.443, \"(-4.53, -4.48)\": 1.417, \"(-4.48, -4.44)\": 1.371, \"(-4.44, -4.42)\": 1.342, \"(-4.42, -4.36)\": 1.319, \"(-4.36, -4.31)\": 1.279, \"(-4.31, -4.27)\": 1.257, \"(-4.27, -4.23)\": 1.232, \"(-4.23, -4.17)\": 1.201, \"(-4.17, -4.12)\": 1.168, \"(-4.12, -4.06)\": 1.146, \"(-4.06, -3.98)\": 1.102, \"(-3.98, -3.91)\": 1.08, \"(-3.91, -3.83)\": 1.052, \"(-3.83, -3.73)\": 1.032, \"(-3.73, -3.32)\": 1.01, \"(-3.32, -3.22)\": 1.043, \"(-3.22, -3.17)\": 1.07, \"(-3.17, -3.08)\": 1.097, \"(-3.08, -3.02)\": 1.125, \"(-3.02, -2.97)\": 1.149, \"(-2.97, -2.9)\": 1.2, \"(-2.9, -2.85)\": 1.221, \"(-2.85, -2.82)\": 1.258, \"(-2.82, -2.79)\": 1.28, \"(-2.79, -2.69)\": 1.302, \"(-2.69, -2.61)\": 1.407, \"(-2.61, -2.58)\": 1.433, \"(-2.58, -2.54)\": 1.462, \"(-2.54, -2.52)\": 1.494, \"(-2.52, -2.48)\": 1.515, \"(-2.48, -2.45)\": 1.54, \"(-2.45, -2.39)\": 1.581, \"(-2.39, -2.34)\": 1.635, \"(-2.34, -2.3)\": 1.682, \"(-2.3, -2.28)\": 1.717, \"(-2.28, -2.24)\": 1.737, \"(-2.24, -2.2)\": 1.771, \"(-2.2, -2.17)\": 1.816, \"(-2.17, -2.14)\": 1.84, \"(-2.14, -2.11)\": 1.869, \"(-2.11, -2.07)\": 1.907, \"(-2.07, -2.03)\": 1.951, \"(-2.03, -1.99)\": 1.979, \"(-1.99, -1.95)\": 2.021, \"(-1.95, -1.9)\": 2.081, \"(-1.9, -1.87)\": 2.105, \"(-1.87, -1.83)\": 2.137, \"(-1.83, -1.8)\": 2.184, \"(-1.8, -1.73)\": 2.213, \"(-1.73, -1.69)\": 2.298, \"(-1.69, -1.65)\": 2.32, \"(-1.65, -1.59)\": 2.374, \"(-1.59, -1.51)\": 2.411, \"(-1.51, -1.45)\": 2.499, \"(-1.45, -1.42)\": 2.53, \"(-1.42, -1.39)\": 2.558, \"(-1.39, -1.33)\": 2.591, \"(-1.33, -1.3)\": 2.626, \"(-1.3, -1.26)\": 2.653, \"(-1.26, -1.22)\": 2.678, \"(-1.22, -1.18)\": 2.707, \"(-1.18, -1.14)\": 2.74, \"(-1.14, -1.09)\": 2.764, \"(-1.09, -1.06)\": 2.792, \"(-1.06, -1.02)\": 2.82, \"(-1.02, -0.97)\": 2.841, \"(-0.97, -0.92)\": 2.867, \"(-0.92, -0.85)\": 2.888, \"(-0.85, -0.78)\": 2.92, \"(-0.78, -0.68)\": 2.944, \"(-0.68, -0.51)\": 2.976, \"(-0.51, -0.23)\": 2.997, \"(-0.23, -0.11)\": 2.968, \"(-0.11, -0.03)\": 2.942, \"(-0.03, 0.02)\": 2.912, \"(0.02, 0.07)\": 2.891, \"(0.07, 0.14)\": 2.868, \"(0.14, 0.19)\": 2.84, \"(0.19, 0.23)\": 2.808, \"(0.23, 0.28)\": 2.782, \"(0.28, 0.34)\": 2.754, \"(0.34, 0.39)\": 2.701, \"(0.39, 0.42)\": 2.681, \"(0.42, 0.45)\": 2.66, \"(0.45, 0.5)\": 2.633, \"(0.5, 0.56)\": 2.583, \"(0.56, 0.59)\": 2.541, \"(0.59, 0.63)\": 2.511, \"(0.63, 0.66)\": 2.483, \"(0.66, 0.69)\": 2.456, \"(0.69, 0.73)\": 2.43, \"(0.73, 0.77)\": 2.38, \"(0.77, 0.78)\": 2.36, \"(0.78, 0.82)\": 2.339, \"(0.82, 0.86)\": 2.297, \"(0.86, 0.9)\": 2.263, \"(0.9, 0.94)\": 2.222, \"(0.94, 0.96)\": 2.19, \"(0.96, 0.99)\": 2.166, \"(0.99, 1.03)\": 2.143, \"(1.03, 1.09)\": 2.075, \"(1.09, 1.12)\": 2.046, \"(1.12, 1.14)\": 2.015, \"(1.14, 1.2)\": 1.989, \"(1.2, 1.26)\": 1.903, \"(1.26, 1.29)\": 1.871, \"(1.29, 1.3)\": 1.85, \"(1.3, 1.37)\": 1.822, \"(1.37, 1.43)\": 1.744, \"(1.43, 1.46)\": 1.705, \"(1.46, 1.49)\": 1.683, \"(1.49, 1.54)\": 1.653, \"(1.54, 1.57)\": 1.597, \"(1.57, 1.61)\": 1.573, \"(1.61, 1.62)\": 1.548, \"(1.62, 1.66)\": 1.526, \"(1.66, 1.69)\": 1.5, \"(1.69, 1.71)\": 1.476, \"(1.71, 1.76)\": 1.454, \"(1.76, 1.81)\": 1.401, \"(1.81, 1.84)\": 1.376, \"(1.84, 1.87)\": 1.352, \"(1.87, 1.92)\": 1.325, \"(1.92, 1.96)\": 1.291, \"(1.96, 2.01)\": 1.262, \"(2.01, 2.05)\": 1.233, \"(2.05, 2.08)\": 1.211, \"(2.08, 2.12)\": 1.186, \"(2.12, 2.18)\": 1.164, \"(2.18, 2.25)\": 1.125, \"(2.25, 2.33)\": 1.1, \"(2.33, 2.41)\": 1.07, \"(2.41, 2.52)\": 1.041, \"(2.52, 2.99)\": 1.017, \"(2.99, 3.07)\": 1.046, \"(3.07, 3.13)\": 1.068, \"(3.13, 3.19)\": 1.09, \"(3.19, 3.24)\": 1.113, \"(3.24, 3.28)\": 1.138, \"(3.28, 3.32)\": 1.164, \"(3.32, 3.41)\": 1.201, \"(3.41, 3.46)\": 1.251, \"(3.46, 3.49)\": 1.282, \"(3.49, 3.55)\": 1.302, \"(3.55, 3.62)\": 1.365, \"(3.62, 3.66)\": 1.397, \"(3.66, 3.68)\": 1.42, \"(3.68, 3.74)\": 1.441, \"(3.74, 3.8)\": 1.504, \"(3.8, 3.84)\": 1.553, \"(3.84, 3.87)\": 1.574, \"(3.87, 3.9)\": 1.609, \"(3.9, 3.93)\": 1.635, \"(3.93, 3.97)\": 1.67, \"(3.97, 4.01)\": 1.702, \"(4.01, 4.04)\": 1.739, \"(4.04, 4.07)\": 1.771, \"(4.07, 4.1)\": 1.794, \"(4.1, 4.12)\": 1.825, \"(4.12, 4.16)\": 1.855, \"(4.16, 4.2)\": 1.892, \"(4.2, 4.23)\": 1.934, \"(4.23, 4.26)\": 1.957, \"(4.26, 4.3)\": 1.99, \"(4.3, 4.36)\": 2.031, \"(4.36, 4.4)\": 2.101, \"(4.4, 4.45)\": 2.135, \"(4.45, 4.49)\": 2.176, \"(4.49, 4.51)\": 2.208, \"(4.51, 4.57)\": 2.234, \"(4.57, 4.63)\": 2.322, \"(4.63, 4.65)\": 2.351, \"(4.65, 4.71)\": 2.373, \"(4.71, 4.78)\": 2.456, \"(4.78, 4.81)\": 2.482, \"(4.81, 4.84)\": 2.512, \"(4.84, 4.87)\": 2.536, \"(4.87, 4.92)\": 2.557, \"(4.92, 4.98)\": 2.62, \"(4.98, 5.01)\": 2.645, \"(5.01, 5.05)\": 2.674, \"(5.05, 5.07)\": 2.695, \"(5.07, 5.14)\": 2.718, \"(5.14, 5.2)\": 2.779, \"(5.2, 5.25)\": 2.8, \"(5.25, 5.3)\": 2.837, \"(5.3, 5.35)\": 2.858, \"(5.35, 5.41)\": 2.879, \"(5.41, 5.48)\": 2.911, \"(5.48, 5.58)\": 2.939, \"(5.58, 5.69)\": 2.967, \"(5.69, 6.1)\": 2.989, \"(6.1, 6.18)\": 2.964, \"(6.18, 6.27)\": 2.936, \"(6.27, 6.32)\": 2.912, \"(6.32, 6.38)\": 2.884, \"(6.38, 6.45)\": 2.848, \"(6.45, 6.53)\": 2.806, \"(6.53, 6.56)\": 2.777, \"(6.56, 6.6)\": 2.754, \"(6.6, 6.63)\": 2.73, \"(6.63, 6.68)\": 2.691, \"(6.68, 6.72)\": 2.668, \"(6.72, 6.74)\": 2.644, \"(6.74, 6.79)\": 2.619, \"(6.79, 6.82)\": 2.587, \"(6.82, 6.84)\": 2.564, \"(6.84, 6.89)\": 2.535, \"(6.89, 6.91)\": 2.509, \"(6.91, 6.94)\": 2.481, \"(6.94, 6.98)\": 2.46, \"(6.98, 7.02)\": 2.417, \"(7.02, 7.05)\": 2.388, \"(7.05, 7.09)\": 2.358, \"(7.09, 7.12)\": 2.317, \"(7.12, 7.15)\": 2.293, \"(7.15, 7.18)\": 2.264, \"(7.18, 7.2)\": 2.233, \"(7.2, 7.23)\": 2.209, \"(7.23, 7.26)\": 2.187, \"(7.26, 7.27)\": 2.164, \"(7.27, 7.31)\": 2.141, \"(7.31, 7.34)\": 2.101, \"(7.34, 7.36)\": 2.072, \"(7.36, 7.4)\": 2.047, \"(7.4, 7.43)\": 2.015, \"(7.43, 7.47)\": 1.969, \"(7.47, 7.51)\": 1.938, \"(7.51, 7.54)\": 1.913, \"(7.54, 7.56)\": 1.879, \"(7.56, 7.6)\": 1.853, \"(7.6, 7.63)\": 1.818, \"(7.63, 7.66)\": 1.789, \"(7.66, 7.7)\": 1.748, \"(7.7, 7.74)\": 1.719, \"(7.74, 7.77)\": 1.675, \"(7.77, 7.82)\": 1.645, \"(7.82, 7.85)\": 1.608, \"(7.85, 7.89)\": 1.577, \"(7.89, 7.92)\": 1.543, \"(7.92, 7.93)\": 1.522, \"(7.93, 7.98)\": 1.5, \"(7.98, 8.05)\": 1.442, \"(8.05, 8.08)\": 1.401, \"(8.08, 8.16)\": 1.369, \"(8.16, 8.21)\": 1.313, \"(8.21, 8.27)\": 1.29, \"(8.27, 8.34)\": 1.223, \"(8.34, 8.38)\": 1.202, \"(8.38, 8.43)\": 1.175, \"(8.43, 8.48)\": 1.152, \"(8.48, 8.52)\": 1.128, \"(8.52, 8.57)\": 1.107, \"(8.57, 8.63)\": 1.086, \"(8.63, 8.68)\": 1.064, \"(8.68, 8.75)\": 1.043, \"(8.75, 8.94)\": 1.022, \"(8.94, 9.21)\": 1.002, \"(9.21, 9.29)\": 1.024, \"(9.29, 9.36)\": 1.049, \"(9.36, 9.41)\": 1.071, \"(9.41, 9.48)\": 1.094, \"(9.48, 9.53)\": 1.123, \"(9.53, 9.57)\": 1.15, \"(9.57, 9.61)\": 1.171, \"(9.61, 9.65)\": 1.192, \"(9.65, 9.7)\": 1.216, \"(9.7, 9.75)\": 1.247, \"(9.75, 9.79)\": 1.28, \"(9.79, 9.82)\": 1.306, \"(9.82, 9.86)\": 1.332, \"(9.86, 9.92)\": 1.362, \"(9.92, 9.96)\": 1.412, \"(9.96, 9.99)\": 1.442}\n", + "Means: {\"(-10.0, -9.92)\": 10.52, \"(-9.92, -9.86)\": 10.39, \"(-9.86, -9.81)\": 10.28, \"(-9.81, -9.75)\": 10.17, \"(-9.75, -9.68)\": 10.06, \"(-9.68, -9.6)\": 9.93, \"(-9.6, -9.5)\": 9.68, \"(-9.5, -9.44)\": 9.55, \"(-9.44, -9.37)\": 9.44, \"(-9.37, -9.32)\": 9.31, \"(-9.32, -9.27)\": 9.21, \"(-9.27, -9.2)\": 9.09, \"(-9.2, -9.09)\": 8.93, \"(-9.09, -9.0)\": 8.7, \"(-9.0, -8.92)\": 8.54, \"(-8.92, -8.85)\": 8.42, \"(-8.85, -8.8)\": 8.31, \"(-8.8, -8.74)\": 8.19, \"(-8.74, -8.66)\": 8.09, \"(-8.66, -8.59)\": 7.94, \"(-8.59, -8.5)\": 7.82, \"(-8.5, -8.38)\": 7.66, \"(-8.38, -8.29)\": 7.45, \"(-8.29, -8.17)\": 7.33, \"(-8.17, -8.07)\": 7.2, \"(-8.07, -7.98)\": 7.07, \"(-7.98, -7.82)\": 6.93, \"(-7.82, -7.69)\": 6.81, \"(-7.69, -7.55)\": 6.69, \"(-7.55, -7.34)\": 6.57, \"(-7.34, -7.1)\": 6.47, \"(-7.1, -5.73)\": 6.36, \"(-5.73, -5.38)\": 6.25, \"(-5.38, -5.12)\": 6.15, \"(-5.12, -4.97)\": 6.03, \"(-4.97, -4.8)\": 5.91, \"(-4.8, -4.68)\": 5.79, \"(-4.68, -4.56)\": 5.67, \"(-4.56, -4.48)\": 5.54, \"(-4.48, -4.34)\": 5.39, \"(-4.34, -4.25)\": 5.26, \"(-4.25, -4.18)\": 5.12, \"(-4.18, -4.11)\": 5.01, \"(-4.11, -4.01)\": 4.87, \"(-4.01, -3.94)\": 4.77, \"(-3.94, -3.83)\": 4.64, \"(-3.83, -3.72)\": 4.37, \"(-3.72, -3.66)\": 4.26, \"(-3.66, -3.6)\": 4.13, \"(-3.6, -3.56)\": 4.01, \"(-3.56, -3.48)\": 3.91, \"(-3.48, -3.39)\": 3.79, \"(-3.39, -3.32)\": 3.58, \"(-3.32, -3.21)\": 3.43, \"(-3.21, -3.12)\": 3.2, \"(-3.12, -3.02)\": 3.08, \"(-3.02, -2.91)\": 2.81, \"(-2.91, -2.83)\": 2.63, \"(-2.83, -2.77)\": 2.52, \"(-2.77, -2.71)\": 2.39, \"(-2.71, -2.64)\": 2.28, \"(-2.64, -2.51)\": 2.05, \"(-2.51, -2.43)\": 1.88, \"(-2.43, -2.34)\": 1.77, \"(-2.34, -2.26)\": 1.6, \"(-2.26, -2.18)\": 1.48, \"(-2.18, -2.1)\": 1.33, \"(-2.1, -2.01)\": 1.21, \"(-2.01, -1.93)\": 1.09, \"(-1.93, -1.84)\": 0.97, \"(-1.84, -1.74)\": 0.86, \"(-1.74, -1.63)\": 0.74, \"(-1.63, -1.51)\": 0.63, \"(-1.51, -1.36)\": 0.49, \"(-1.36, -1.21)\": 0.38, \"(-1.21, -1.0)\": 0.26, \"(-1.0, -0.69)\": 0.16, \"(-0.69, 0.07)\": 0.05, \"(0.07, 0.12)\": 0.16, \"(0.12, 0.18)\": 0.26, \"(0.18, 0.24)\": 0.42, \"(0.24, 0.33)\": 0.53, \"(0.33, 0.42)\": 0.74, \"(0.42, 0.48)\": 0.85, \"(0.48, 0.54)\": 0.96, \"(0.54, 0.6)\": 1.07, \"(0.6, 0.67)\": 1.2, \"(0.67, 0.73)\": 1.3, \"(0.73, 0.8)\": 1.42, \"(0.8, 0.88)\": 1.54, \"(0.88, 0.98)\": 1.67, \"(0.98, 1.11)\": 1.87, \"(1.11, 1.21)\": 2.03, \"(1.21, 1.3)\": 2.15, \"(1.3, 1.4)\": 2.27, \"(1.4, 1.51)\": 2.4, \"(1.51, 1.64)\": 2.53, \"(1.64, 1.77)\": 2.64, \"(1.77, 1.92)\": 2.75, \"(1.92, 2.1)\": 2.86, \"(2.1, 2.38)\": 2.96, \"(2.38, 3.74)\": 3.07, \"(3.74, 4.09)\": 3.18, \"(4.09, 4.31)\": 3.29, \"(4.31, 4.48)\": 3.4, \"(4.48, 4.61)\": 3.52, \"(4.61, 4.74)\": 3.63, \"(4.74, 4.85)\": 3.75, \"(4.85, 4.92)\": 3.86, \"(4.92, 5.02)\": 3.97, \"(5.02, 5.1)\": 4.1, \"(5.1, 5.21)\": 4.21, \"(5.21, 5.28)\": 4.33, \"(5.28, 5.32)\": 4.44, \"(5.32, 5.42)\": 4.55, \"(5.42, 5.49)\": 4.68, \"(5.49, 5.55)\": 4.78, \"(5.55, 5.62)\": 4.89, \"(5.62, 5.69)\": 5.02, \"(5.69, 5.76)\": 5.16, \"(5.76, 5.83)\": 5.29, \"(5.83, 5.91)\": 5.43, \"(5.91, 5.98)\": 5.58, \"(5.98, 6.05)\": 5.73, \"(6.05, 6.16)\": 5.9, \"(6.16, 6.22)\": 6.05, \"(6.22, 6.31)\": 6.2, \"(6.31, 6.36)\": 6.33, \"(6.36, 6.45)\": 6.5, \"(6.45, 6.52)\": 6.64, \"(6.52, 6.58)\": 6.77, \"(6.58, 6.65)\": 6.89, \"(6.65, 6.71)\": 7.03, \"(6.71, 6.78)\": 7.15, \"(6.78, 6.83)\": 7.26, \"(6.83, 6.9)\": 7.38, \"(6.9, 6.97)\": 7.51, \"(6.97, 7.06)\": 7.63, \"(7.06, 7.17)\": 7.8, \"(7.17, 7.25)\": 7.97, \"(7.25, 7.33)\": 8.1, \"(7.33, 7.42)\": 8.21, \"(7.42, 7.51)\": 8.33, \"(7.51, 7.62)\": 8.47, \"(7.62, 7.7)\": 8.59, \"(7.7, 7.8)\": 8.7, \"(7.8, 7.93)\": 8.81, \"(7.93, 8.05)\": 8.93, \"(8.05, 8.23)\": 9.04, \"(8.23, 8.41)\": 9.16, \"(8.41, 8.74)\": 9.26, \"(8.74, 9.99)\": 9.37}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3861,7 +3221,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3877,13 +3237,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-10.0, -9.95)\": -0.847, \"(-9.95, -9.88)\": -0.876, \"(-9.88, -9.82)\": -0.9, \"(-9.82, -9.76)\": -0.93, \"(-9.76, -9.66)\": -0.951, \"(-9.66, -9.53)\": -0.975, \"(-9.53, -9.21)\": -0.995, \"(-9.21, -9.12)\": -0.975, \"(-9.12, -9.06)\": -0.951, \"(-9.06, -8.99)\": -0.924, \"(-8.99, -8.92)\": -0.898, \"(-8.92, -8.84)\": -0.864, \"(-8.84, -8.79)\": -0.826, \"(-8.79, -8.75)\": -0.804, \"(-8.75, -8.68)\": -0.762, \"(-8.68, -8.61)\": -0.715, \"(-8.61, -8.55)\": -0.662, \"(-8.55, -8.52)\": -0.637, \"(-8.52, -8.48)\": -0.61, \"(-8.48, -8.46)\": -0.58, \"(-8.46, -8.42)\": -0.556, \"(-8.42, -8.36)\": -0.527, \"(-8.36, -8.31)\": -0.463, \"(-8.31, -8.27)\": -0.429, \"(-8.27, -8.23)\": -0.381, \"(-8.23, -8.2)\": -0.352, \"(-8.2, -8.17)\": -0.331, \"(-8.17, -8.12)\": -0.297, \"(-8.12, -8.08)\": -0.243, \"(-8.08, -8.05)\": -0.212, \"(-8.05, -8.01)\": -0.178, \"(-8.01, -8.0)\": -0.156, \"(-8.0, -7.97)\": -0.131, \"(-7.97, -7.92)\": -0.105, \"(-7.92, -7.88)\": -0.045, \"(-7.88, -7.86)\": -0.018, \"(-7.86, -7.8)\": 0.013, \"(-7.8, -7.75)\": 0.068, \"(-7.75, -7.71)\": 0.13, \"(-7.71, -7.68)\": 0.152, \"(-7.68, -7.65)\": 0.179, \"(-7.65, -7.61)\": 0.222, \"(-7.61, -7.57)\": 0.264, \"(-7.57, -7.53)\": 0.297, \"(-7.53, -7.5)\": 0.328, \"(-7.5, -7.47)\": 0.352, \"(-7.47, -7.44)\": 0.391, \"(-7.44, -7.39)\": 0.414, \"(-7.39, -7.37)\": 0.448, \"(-7.37, -7.34)\": 0.469, \"(-7.34, -7.32)\": 0.496, \"(-7.32, -7.26)\": 0.526, \"(-7.26, -7.19)\": 0.58, \"(-7.19, -7.14)\": 0.635, \"(-7.14, -7.1)\": 0.663, \"(-7.1, -7.03)\": 0.703, \"(-7.03, -6.96)\": 0.757, \"(-6.96, -6.92)\": 0.781, \"(-6.92, -6.87)\": 0.813, \"(-6.87, -6.83)\": 0.835, \"(-6.83, -6.78)\": 0.858, \"(-6.78, -6.74)\": 0.88, \"(-6.74, -6.67)\": 0.905, \"(-6.67, -6.62)\": 0.925, \"(-6.62, -6.54)\": 0.947, \"(-6.54, -6.42)\": 0.969, \"(-6.42, -6.04)\": 0.991, \"(-6.04, -5.96)\": 0.97, \"(-5.96, -5.9)\": 0.947, \"(-5.9, -5.84)\": 0.923, \"(-5.84, -5.79)\": 0.902, \"(-5.79, -5.74)\": 0.871, \"(-5.74, -5.68)\": 0.846, \"(-5.68, -5.63)\": 0.821, \"(-5.63, -5.57)\": 0.787, \"(-5.57, -5.52)\": 0.736, \"(-5.52, -5.47)\": 0.707, \"(-5.47, -5.42)\": 0.676, \"(-5.42, -5.38)\": 0.645, \"(-5.38, -5.35)\": 0.609, \"(-5.35, -5.31)\": 0.585, \"(-5.31, -5.25)\": 0.551, \"(-5.25, -5.22)\": 0.502, \"(-5.22, -5.19)\": 0.48, \"(-5.19, -5.17)\": 0.458, \"(-5.17, -5.14)\": 0.433, \"(-5.14, -5.12)\": 0.41, \"(-5.12, -5.09)\": 0.388, \"(-5.09, -5.06)\": 0.362, \"(-5.06, -5.01)\": 0.325, \"(-5.01, -4.97)\": 0.266, \"(-4.97, -4.94)\": 0.245, \"(-4.94, -4.91)\": 0.219, \"(-4.91, -4.87)\": 0.176, \"(-4.87, -4.83)\": 0.137, \"(-4.83, -4.8)\": 0.106, \"(-4.8, -4.78)\": 0.08, \"(-4.78, -4.73)\": 0.051, \"(-4.73, -4.66)\": -0.018, \"(-4.66, -4.62)\": -0.071, \"(-4.62, -4.6)\": -0.097, \"(-4.6, -4.58)\": -0.121, \"(-4.58, -4.56)\": -0.142, \"(-4.56, -4.53)\": -0.171, \"(-4.53, -4.49)\": -0.198, \"(-4.49, -4.46)\": -0.238, \"(-4.46, -4.42)\": -0.262, \"(-4.42, -4.4)\": -0.298, \"(-4.4, -4.36)\": -0.325, \"(-4.36, -4.31)\": -0.363, \"(-4.31, -4.28)\": -0.404, \"(-4.28, -4.24)\": -0.431, \"(-4.24, -4.2)\": -0.47, \"(-4.2, -4.17)\": -0.496, \"(-4.17, -4.13)\": -0.534, \"(-4.13, -4.11)\": -0.555, \"(-4.11, -4.07)\": -0.587, \"(-4.07, -4.04)\": -0.608, \"(-4.04, -4.01)\": -0.636, \"(-4.01, -3.96)\": -0.66, \"(-3.96, -3.91)\": -0.683, \"(-3.91, -3.85)\": -0.733, \"(-3.85, -3.82)\": -0.766, \"(-3.82, -3.77)\": -0.789, \"(-3.77, -3.74)\": -0.815, \"(-3.74, -3.65)\": -0.836, \"(-3.65, -3.57)\": -0.894, \"(-3.57, -3.5)\": -0.917, \"(-3.5, -3.44)\": -0.938, \"(-3.44, -3.34)\": -0.959, \"(-3.34, -2.85)\": -0.981, \"(-2.85, -2.76)\": -0.948, \"(-2.76, -2.69)\": -0.921, \"(-2.69, -2.64)\": -0.896, \"(-2.64, -2.58)\": -0.872, \"(-2.58, -2.53)\": -0.831, \"(-2.53, -2.48)\": -0.807, \"(-2.48, -2.45)\": -0.787, \"(-2.45, -2.41)\": -0.757, \"(-2.41, -2.37)\": -0.736, \"(-2.37, -2.33)\": -0.712, \"(-2.33, -2.29)\": -0.673, \"(-2.29, -2.25)\": -0.649, \"(-2.25, -2.2)\": -0.608, \"(-2.2, -2.13)\": -0.56, \"(-2.13, -2.08)\": -0.514, \"(-2.08, -2.03)\": -0.468, \"(-2.03, -1.98)\": -0.424, \"(-1.98, -1.96)\": -0.395, \"(-1.96, -1.94)\": -0.375, \"(-1.94, -1.91)\": -0.355, \"(-1.91, -1.87)\": -0.318, \"(-1.87, -1.82)\": -0.28, \"(-1.82, -1.77)\": -0.23, \"(-1.77, -1.73)\": -0.188, \"(-1.73, -1.7)\": -0.149, \"(-1.7, -1.66)\": -0.113, \"(-1.66, -1.62)\": -0.071, \"(-1.62, -1.6)\": -0.033, \"(-1.6, -1.55)\": -0.006, \"(-1.55, -1.5)\": 0.056, \"(-1.5, -1.48)\": 0.083, \"(-1.48, -1.45)\": 0.104, \"(-1.45, -1.41)\": 0.134, \"(-1.41, -1.39)\": 0.167, \"(-1.39, -1.36)\": 0.194, \"(-1.36, -1.34)\": 0.215, \"(-1.34, -1.31)\": 0.236, \"(-1.31, -1.29)\": 0.266, \"(-1.29, -1.27)\": 0.287, \"(-1.27, -1.23)\": 0.31, \"(-1.23, -1.19)\": 0.35, \"(-1.19, -1.15)\": 0.387, \"(-1.15, -1.11)\": 0.428, \"(-1.11, -1.07)\": 0.459, \"(-1.07, -1.03)\": 0.494, \"(-1.03, -1.0)\": 0.517, \"(-1.0, -0.97)\": 0.548, \"(-0.97, -0.94)\": 0.569, \"(-0.94, -0.91)\": 0.593, \"(-0.91, -0.87)\": 0.617, \"(-0.87, -0.81)\": 0.65, \"(-0.81, -0.76)\": 0.706, \"(-0.76, -0.72)\": 0.728, \"(-0.72, -0.69)\": 0.763, \"(-0.69, -0.64)\": 0.785, \"(-0.64, -0.57)\": 0.816, \"(-0.57, -0.53)\": 0.844, \"(-0.53, -0.45)\": 0.878, \"(-0.45, -0.38)\": 0.902, \"(-0.38, -0.29)\": 0.937, \"(-0.29, -0.21)\": 0.961, \"(-0.21, 0.27)\": 0.984, \"(0.27, 0.35)\": 0.961, \"(0.35, 0.41)\": 0.938, \"(0.41, 0.47)\": 0.915, \"(0.47, 0.57)\": 0.886, \"(0.57, 0.67)\": 0.801, \"(0.67, 0.73)\": 0.766, \"(0.73, 0.77)\": 0.738, \"(0.77, 0.83)\": 0.697, \"(0.83, 0.86)\": 0.675, \"(0.86, 0.9)\": 0.65, \"(0.9, 0.94)\": 0.605, \"(0.94, 0.98)\": 0.583, \"(0.98, 1.01)\": 0.552, \"(1.01, 1.03)\": 0.526, \"(1.03, 1.06)\": 0.504, \"(1.06, 1.07)\": 0.483, \"(1.07, 1.13)\": 0.46, \"(1.13, 1.2)\": 0.384, \"(1.2, 1.24)\": 0.353, \"(1.24, 1.28)\": 0.304, \"(1.28, 1.32)\": 0.274, \"(1.32, 1.37)\": 0.237, \"(1.37, 1.41)\": 0.171, \"(1.41, 1.44)\": 0.147, \"(1.44, 1.47)\": 0.117, \"(1.47, 1.5)\": 0.095, \"(1.5, 1.52)\": 0.065, \"(1.52, 1.56)\": 0.041, \"(1.56, 1.6)\": -0.001, \"(1.6, 1.64)\": -0.047, \"(1.64, 1.67)\": -0.073, \"(1.67, 1.69)\": -0.11, \"(1.69, 1.72)\": -0.131, \"(1.72, 1.76)\": -0.161, \"(1.76, 1.8)\": -0.203, \"(1.8, 1.83)\": -0.232, \"(1.83, 1.86)\": -0.26, \"(1.86, 1.9)\": -0.308, \"(1.9, 1.94)\": -0.332, \"(1.94, 1.98)\": -0.371, \"(1.98, 2.01)\": -0.403, \"(2.01, 2.04)\": -0.427, \"(2.04, 2.06)\": -0.457, \"(2.06, 2.09)\": -0.477, \"(2.09, 2.12)\": -0.504, \"(2.12, 2.15)\": -0.527, \"(2.15, 2.19)\": -0.557, \"(2.19, 2.22)\": -0.588, \"(2.22, 2.26)\": -0.618, \"(2.26, 2.3)\": -0.648, \"(2.3, 2.36)\": -0.675, \"(2.36, 2.42)\": -0.727, \"(2.42, 2.46)\": -0.752, \"(2.46, 2.49)\": -0.787, \"(2.49, 2.54)\": -0.809, \"(2.54, 2.61)\": -0.839, \"(2.61, 2.64)\": -0.865, \"(2.64, 2.72)\": -0.887, \"(2.72, 2.8)\": -0.922, \"(2.8, 2.91)\": -0.951, \"(2.91, 3.03)\": -0.974, \"(3.03, 3.37)\": -0.994, \"(3.37, 3.47)\": -0.974, \"(3.47, 3.54)\": -0.934, \"(3.54, 3.64)\": -0.913, \"(3.64, 3.7)\": -0.865, \"(3.7, 3.75)\": -0.844, \"(3.75, 3.79)\": -0.819, \"(3.79, 3.83)\": -0.79, \"(3.83, 3.87)\": -0.759, \"(3.87, 3.92)\": -0.729, \"(3.92, 3.98)\": -0.693, \"(3.98, 4.01)\": -0.665, \"(4.01, 4.04)\": -0.642, \"(4.04, 4.08)\": -0.611, \"(4.08, 4.11)\": -0.588, \"(4.11, 4.13)\": -0.558, \"(4.13, 4.18)\": -0.531, \"(4.18, 4.24)\": -0.471, \"(4.24, 4.27)\": -0.446, \"(4.27, 4.3)\": -0.414, \"(4.3, 4.33)\": -0.388, \"(4.33, 4.36)\": -0.364, \"(4.36, 4.39)\": -0.337, \"(4.39, 4.42)\": -0.308, \"(4.42, 4.45)\": -0.284, \"(4.45, 4.46)\": -0.257, \"(4.46, 4.5)\": -0.235, \"(4.5, 4.56)\": -0.211, \"(4.56, 4.65)\": -0.1, \"(4.65, 4.69)\": -0.039, \"(4.69, 4.71)\": -0.017, \"(4.71, 4.73)\": 0.012, \"(4.73, 4.77)\": 0.034, \"(4.77, 4.8)\": 0.074, \"(4.8, 4.84)\": 0.101, \"(4.84, 4.86)\": 0.131, \"(4.86, 4.88)\": 0.159, \"(4.88, 4.92)\": 0.183, \"(4.92, 4.95)\": 0.208, \"(4.95, 5.0)\": 0.246, \"(5.0, 5.05)\": 0.306, \"(5.05, 5.09)\": 0.35, \"(5.09, 5.13)\": 0.386, \"(5.13, 5.17)\": 0.415, \"(5.17, 5.21)\": 0.446, \"(5.21, 5.24)\": 0.486, \"(5.24, 5.27)\": 0.51, \"(5.27, 5.3)\": 0.534, \"(5.3, 5.32)\": 0.554, \"(5.32, 5.36)\": 0.577, \"(5.36, 5.41)\": 0.62, \"(5.41, 5.45)\": 0.647, \"(5.45, 5.5)\": 0.692, \"(5.5, 5.56)\": 0.716, \"(5.56, 5.65)\": 0.766, \"(5.65, 5.72)\": 0.823, \"(5.72, 5.78)\": 0.856, \"(5.78, 5.87)\": 0.884, \"(5.87, 5.95)\": 0.929, \"(5.95, 6.04)\": 0.95, \"(6.04, 6.17)\": 0.971, \"(6.17, 6.5)\": 0.995, \"(6.5, 6.59)\": 0.974, \"(6.59, 6.66)\": 0.946, \"(6.66, 6.74)\": 0.909, \"(6.74, 6.81)\": 0.888, \"(6.81, 6.85)\": 0.863, \"(6.85, 6.89)\": 0.836, \"(6.89, 6.94)\": 0.809, \"(6.94, 6.98)\": 0.787, \"(6.98, 7.01)\": 0.76, \"(7.01, 7.05)\": 0.734, \"(7.05, 7.13)\": 0.7, \"(7.13, 7.2)\": 0.63, \"(7.2, 7.23)\": 0.606, \"(7.23, 7.26)\": 0.576, \"(7.26, 7.3)\": 0.55, \"(7.3, 7.34)\": 0.525, \"(7.34, 7.39)\": 0.473, \"(7.39, 7.42)\": 0.425, \"(7.42, 7.5)\": 0.395, \"(7.5, 7.58)\": 0.295, \"(7.58, 7.61)\": 0.258, \"(7.61, 7.64)\": 0.233, \"(7.64, 7.66)\": 0.205, \"(7.66, 7.69)\": 0.182, \"(7.69, 7.73)\": 0.14, \"(7.73, 7.75)\": 0.112, \"(7.75, 7.78)\": 0.091, \"(7.78, 7.8)\": 0.067, \"(7.8, 7.84)\": 0.043, \"(7.84, 7.88)\": -0.017, \"(7.88, 7.91)\": -0.039, \"(7.91, 7.94)\": -0.064, \"(7.94, 7.96)\": -0.085, \"(7.96, 7.98)\": -0.107, \"(7.98, 8.03)\": -0.147, \"(8.03, 8.05)\": -0.18, \"(8.05, 8.07)\": -0.202, \"(8.07, 8.12)\": -0.231, \"(8.12, 8.18)\": -0.296, \"(8.18, 8.22)\": -0.34, \"(8.22, 8.27)\": -0.363, \"(8.27, 8.3)\": -0.418, \"(8.3, 8.35)\": -0.441, \"(8.35, 8.38)\": -0.492, \"(8.38, 8.42)\": -0.518, \"(8.42, 8.46)\": -0.551, \"(8.46, 8.51)\": -0.585, \"(8.51, 8.55)\": -0.621, \"(8.55, 8.59)\": -0.658, \"(8.59, 8.62)\": -0.679, \"(8.62, 8.67)\": -0.713, \"(8.67, 8.71)\": -0.734, \"(8.71, 8.79)\": -0.774, \"(8.79, 8.85)\": -0.816, \"(8.85, 8.91)\": -0.846, \"(8.91, 8.96)\": -0.876, \"(8.96, 9.02)\": -0.903, \"(9.02, 9.11)\": -0.931, \"(9.11, 9.18)\": -0.952, \"(9.18, 9.32)\": -0.973, \"(9.32, 9.64)\": -0.995, \"(9.64, 9.75)\": -0.972, \"(9.75, 9.82)\": -0.94, \"(9.82, 9.88)\": -0.919, \"(9.88, 9.94)\": -0.895, \"(9.94, 10.0)\": -0.867}\n", + "Means: {\"(-9.97, -9.86)\": -1.868, \"(-9.86, -9.73)\": -1.913, \"(-9.73, -9.53)\": -1.955, \"(-9.53, -9.12)\": -1.995, \"(-9.12, -9.01)\": -1.952, \"(-9.01, -8.91)\": -1.909, \"(-8.91, -8.84)\": -1.863, \"(-8.84, -8.74)\": -1.813, \"(-8.74, -8.67)\": -1.77, \"(-8.67, -8.55)\": -1.712, \"(-8.55, -8.46)\": -1.606, \"(-8.46, -8.41)\": -1.565, \"(-8.41, -8.35)\": -1.524, \"(-8.35, -8.27)\": -1.446, \"(-8.27, -8.22)\": -1.404, \"(-8.22, -8.18)\": -1.351, \"(-8.18, -8.13)\": -1.296, \"(-8.13, -8.07)\": -1.254, \"(-8.07, -8.02)\": -1.205, \"(-8.02, -7.94)\": -1.129, \"(-7.94, -7.87)\": -1.056, \"(-7.87, -7.82)\": -1.008, \"(-7.82, -7.76)\": -0.953, \"(-7.76, -7.72)\": -0.908, \"(-7.72, -7.66)\": -0.851, \"(-7.66, -7.61)\": -0.805, \"(-7.61, -7.56)\": -0.753, \"(-7.56, -7.49)\": -0.703, \"(-7.49, -7.4)\": -0.602, \"(-7.4, -7.34)\": -0.556, \"(-7.34, -7.25)\": -0.489, \"(-7.25, -7.16)\": -0.398, \"(-7.16, -7.1)\": -0.356, \"(-7.1, -7.03)\": -0.309, \"(-7.03, -6.96)\": -0.256, \"(-6.96, -6.88)\": -0.215, \"(-6.88, -6.79)\": -0.169, \"(-6.79, -6.68)\": -0.117, \"(-6.68, -6.51)\": -0.077, \"(-6.51, -5.9)\": -0.035, \"(-5.9, -5.8)\": -0.075, \"(-5.8, -5.71)\": -0.119, \"(-5.71, -5.64)\": -0.165, \"(-5.64, -5.55)\": -0.21, \"(-5.55, -5.48)\": -0.27, \"(-5.48, -5.42)\": -0.31, \"(-5.42, -5.35)\": -0.377, \"(-5.35, -5.26)\": -0.422, \"(-5.26, -5.17)\": -0.523, \"(-5.17, -5.12)\": -0.567, \"(-5.12, -5.05)\": -0.607, \"(-5.05, -4.99)\": -0.688, \"(-4.99, -4.92)\": -0.752, \"(-4.92, -4.88)\": -0.806, \"(-4.88, -4.78)\": -0.861, \"(-4.78, -4.69)\": -0.972, \"(-4.69, -4.65)\": -1.032, \"(-4.65, -4.6)\": -1.088, \"(-4.6, -4.53)\": -1.137, \"(-4.53, -4.47)\": -1.198, \"(-4.47, -4.39)\": -1.271, \"(-4.39, -4.35)\": -1.322, \"(-4.35, -4.29)\": -1.371, \"(-4.29, -4.24)\": -1.414, \"(-4.24, -4.17)\": -1.476, \"(-4.17, -4.12)\": -1.523, \"(-4.12, -4.05)\": -1.563, \"(-4.05, -4.0)\": -1.621, \"(-4.0, -3.9)\": -1.669, \"(-3.9, -3.81)\": -1.742, \"(-3.81, -3.72)\": -1.795, \"(-3.72, -3.61)\": -1.849, \"(-3.61, -3.5)\": -1.899, \"(-3.5, -3.28)\": -1.945, \"(-3.28, -2.85)\": -1.988, \"(-2.85, -2.7)\": -1.944, \"(-2.7, -2.61)\": -1.897, \"(-2.61, -2.52)\": -1.855, \"(-2.52, -2.44)\": -1.805, \"(-2.44, -2.29)\": -1.731, \"(-2.29, -2.2)\": -1.627, \"(-2.2, -2.13)\": -1.576, \"(-2.13, -2.07)\": -1.531, \"(-2.07, -2.01)\": -1.458, \"(-2.01, -1.96)\": -1.414, \"(-1.96, -1.89)\": -1.337, \"(-1.89, -1.83)\": -1.294, \"(-1.83, -1.76)\": -1.235, \"(-1.76, -1.71)\": -1.174, \"(-1.71, -1.66)\": -1.129, \"(-1.66, -1.61)\": -1.083, \"(-1.61, -1.57)\": -1.036, \"(-1.57, -1.51)\": -0.978, \"(-1.51, -1.46)\": -0.931, \"(-1.46, -1.42)\": -0.873, \"(-1.42, -1.36)\": -0.827, \"(-1.36, -1.29)\": -0.775, \"(-1.29, -1.23)\": -0.703, \"(-1.23, -1.17)\": -0.654, \"(-1.17, -1.11)\": -0.609, \"(-1.11, -1.06)\": -0.542, \"(-1.06, -1.0)\": -0.502, \"(-1.0, -0.96)\": -0.453, \"(-0.96, -0.88)\": -0.403, \"(-0.88, -0.82)\": -0.358, \"(-0.82, -0.77)\": -0.317, \"(-0.77, -0.69)\": -0.266, \"(-0.69, -0.62)\": -0.221, \"(-0.62, -0.49)\": -0.177, \"(-0.49, -0.36)\": -0.104, \"(-0.36, -0.18)\": -0.059, \"(-0.18, -0.02)\": -0.019, \"(-0.02, 0.02)\": 0.153, \"(0.02, 0.07)\": 1.683, \"(0.07, 0.37)\": 1.967, \"(0.37, 0.47)\": 1.924, \"(0.47, 0.56)\": 1.883, \"(0.56, 0.67)\": 1.827, \"(0.67, 0.74)\": 1.779, \"(0.74, 0.8)\": 1.729, \"(0.8, 0.88)\": 1.678, \"(0.88, 0.94)\": 1.636, \"(0.94, 1.0)\": 1.586, \"(1.0, 1.05)\": 1.53, \"(1.05, 1.12)\": 1.484, \"(1.12, 1.17)\": 1.43, \"(1.17, 1.22)\": 1.381, \"(1.22, 1.26)\": 1.34, \"(1.26, 1.32)\": 1.294, \"(1.32, 1.38)\": 1.233, \"(1.38, 1.44)\": 1.175, \"(1.44, 1.51)\": 1.11, \"(1.51, 1.57)\": 1.041, \"(1.57, 1.62)\": 0.989, \"(1.62, 1.67)\": 0.932, \"(1.67, 1.75)\": 0.885, \"(1.75, 1.84)\": 0.781, \"(1.84, 1.89)\": 0.728, \"(1.89, 1.96)\": 0.674, \"(1.96, 2.03)\": 0.599, \"(2.03, 2.08)\": 0.558, \"(2.08, 2.13)\": 0.491, \"(2.13, 2.2)\": 0.449, \"(2.2, 2.29)\": 0.397, \"(2.29, 2.35)\": 0.333, \"(2.35, 2.42)\": 0.291, \"(2.42, 2.46)\": 0.246, \"(2.46, 2.58)\": 0.204, \"(2.58, 2.72)\": 0.134, \"(2.72, 2.89)\": 0.08, \"(2.89, 3.49)\": 0.027, \"(3.49, 3.61)\": 0.068, \"(3.61, 3.71)\": 0.116, \"(3.71, 3.79)\": 0.164, \"(3.79, 3.85)\": 0.205, \"(3.85, 3.95)\": 0.254, \"(3.95, 4.01)\": 0.318, \"(4.01, 4.08)\": 0.367, \"(4.08, 4.15)\": 0.425, \"(4.15, 4.19)\": 0.469, \"(4.19, 4.25)\": 0.512, \"(4.25, 4.29)\": 0.554, \"(4.29, 4.35)\": 0.612, \"(4.35, 4.42)\": 0.664, \"(4.42, 4.49)\": 0.732, \"(4.49, 4.55)\": 0.791, \"(4.55, 4.61)\": 0.855, \"(4.61, 4.65)\": 0.902, \"(4.65, 4.68)\": 0.949, \"(4.68, 4.74)\": 0.996, \"(4.74, 4.8)\": 1.051, \"(4.8, 4.84)\": 1.091, \"(4.84, 4.87)\": 1.133, \"(4.87, 4.95)\": 1.173, \"(4.95, 5.01)\": 1.247, \"(5.01, 5.07)\": 1.311, \"(5.07, 5.12)\": 1.364, \"(5.12, 5.2)\": 1.433, \"(5.2, 5.25)\": 1.475, \"(5.25, 5.32)\": 1.53, \"(5.32, 5.37)\": 1.577, \"(5.37, 5.44)\": 1.628, \"(5.44, 5.5)\": 1.669, \"(5.5, 5.59)\": 1.717, \"(5.59, 5.66)\": 1.777, \"(5.66, 5.74)\": 1.819, \"(5.74, 5.86)\": 1.862, \"(5.86, 6.08)\": 1.931, \"(6.08, 6.64)\": 1.974, \"(6.64, 6.74)\": 1.934, \"(6.74, 6.85)\": 1.89, \"(6.85, 6.93)\": 1.834, \"(6.93, 7.0)\": 1.794, \"(7.0, 7.08)\": 1.742, \"(7.08, 7.15)\": 1.698, \"(7.15, 7.22)\": 1.627, \"(7.22, 7.31)\": 1.586, \"(7.31, 7.42)\": 1.476, \"(7.42, 7.49)\": 1.398, \"(7.49, 7.53)\": 1.358, \"(7.53, 7.57)\": 1.316, \"(7.57, 7.62)\": 1.265, \"(7.62, 7.66)\": 1.224, \"(7.66, 7.69)\": 1.183, \"(7.69, 7.75)\": 1.142, \"(7.75, 7.8)\": 1.092, \"(7.8, 7.86)\": 1.041, \"(7.86, 7.91)\": 0.972, \"(7.91, 7.96)\": 0.924, \"(7.96, 8.01)\": 0.876, \"(8.01, 8.09)\": 0.81, \"(8.09, 8.11)\": 0.769, \"(8.11, 8.18)\": 0.727, \"(8.18, 8.24)\": 0.662, \"(8.24, 8.28)\": 0.62, \"(8.28, 8.35)\": 0.576, \"(8.35, 8.41)\": 0.52, \"(8.41, 8.48)\": 0.46, \"(8.48, 8.55)\": 0.408, \"(8.55, 8.6)\": 0.355, \"(8.6, 8.67)\": 0.315, \"(8.67, 8.76)\": 0.253, \"(8.76, 8.84)\": 0.207, \"(8.84, 8.92)\": 0.164, \"(8.92, 9.04)\": 0.12, \"(9.04, 9.18)\": 0.071, \"(9.18, 9.81)\": 0.031, \"(9.81, 9.94)\": 0.078, \"(9.94, 9.99)\": 0.138}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3893,7 +3253,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3909,13 +3269,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.98, -9.93)\": 0.4132, \"(-9.93, -9.89)\": 0.3973, \"(-9.89, -9.85)\": 0.3867, \"(-9.85, -9.82)\": 0.374, \"(-9.82, -9.76)\": 0.3576, \"(-9.76, -9.72)\": 0.3444, \"(-9.72, -9.65)\": 0.3244, \"(-9.65, -9.59)\": 0.2878, \"(-9.59, -9.53)\": 0.2758, \"(-9.53, -9.47)\": 0.2435, \"(-9.47, -9.42)\": 0.2197, \"(-9.42, -9.39)\": 0.2017, \"(-9.39, -9.36)\": 0.1904, \"(-9.36, -9.34)\": 0.1776, \"(-9.34, -9.32)\": 0.1635, \"(-9.32, -9.28)\": 0.1523, \"(-9.28, -9.25)\": 0.1344, \"(-9.25, -9.21)\": 0.1201, \"(-9.21, -9.18)\": 0.1011, \"(-9.18, -9.14)\": 0.0842, \"(-9.14, -9.12)\": 0.0721, \"(-9.12, -9.1)\": 0.06, \"(-9.1, -9.07)\": 0.0456, \"(-9.07, -9.03)\": 0.033, \"(-9.03, -9.01)\": 0.0126, \"(-9.01, -8.98)\": 0.0021, \"(-8.98, -8.96)\": -0.0157, \"(-8.96, -8.91)\": -0.0275, \"(-8.91, -8.84)\": -0.0682, \"(-8.84, -8.8)\": -0.0885, \"(-8.8, -8.78)\": -0.0992, \"(-8.78, -8.74)\": -0.1148, \"(-8.74, -8.71)\": -0.1303, \"(-8.71, -8.69)\": -0.1408, \"(-8.69, -8.67)\": -0.1515, \"(-8.67, -8.64)\": -0.1629, \"(-8.64, -8.62)\": -0.1772, \"(-8.62, -8.59)\": -0.1885, \"(-8.59, -8.54)\": -0.2108, \"(-8.54, -8.5)\": -0.2235, \"(-8.5, -8.45)\": -0.249, \"(-8.45, -8.4)\": -0.2642, \"(-8.4, -8.36)\": -0.2885, \"(-8.36, -8.31)\": -0.3003, \"(-8.31, -8.27)\": -0.3208, \"(-8.27, -8.24)\": -0.3331, \"(-8.24, -8.21)\": -0.346, \"(-8.21, -8.16)\": -0.3603, \"(-8.16, -8.13)\": -0.3734, \"(-8.13, -8.09)\": -0.3842, \"(-8.09, -8.01)\": -0.4048, \"(-8.01, -7.98)\": -0.417, \"(-7.98, -7.91)\": -0.4299, \"(-7.91, -7.85)\": -0.4479, \"(-7.85, -7.78)\": -0.4599, \"(-7.78, -7.67)\": -0.4738, \"(-7.67, -7.5)\": -0.4885, \"(-7.5, -7.23)\": -0.4986, \"(-7.23, -7.14)\": -0.4885, \"(-7.14, -7.09)\": -0.4776, \"(-7.09, -6.99)\": -0.465, \"(-6.99, -6.95)\": -0.4532, \"(-6.95, -6.91)\": -0.443, \"(-6.91, -6.86)\": -0.4293, \"(-6.86, -6.8)\": -0.4157, \"(-6.8, -6.76)\": -0.4036, \"(-6.76, -6.71)\": -0.3887, \"(-6.71, -6.67)\": -0.375, \"(-6.67, -6.64)\": -0.3607, \"(-6.64, -6.57)\": -0.3473, \"(-6.57, -6.51)\": -0.3167, \"(-6.51, -6.48)\": -0.2981, \"(-6.48, -6.45)\": -0.288, \"(-6.45, -6.42)\": -0.2748, \"(-6.42, -6.38)\": -0.2634, \"(-6.38, -6.31)\": -0.2378, \"(-6.31, -6.28)\": -0.2148, \"(-6.28, -6.26)\": -0.2013, \"(-6.26, -6.2)\": -0.1876, \"(-6.2, -6.1)\": -0.1472, \"(-6.1, -6.05)\": -0.1053, \"(-6.05, -6.01)\": -0.0951, \"(-6.01, -5.97)\": -0.0754, \"(-5.97, -5.95)\": -0.0518, \"(-5.95, -5.92)\": -0.0396, \"(-5.92, -5.88)\": -0.0243, \"(-5.88, -5.83)\": -0.0011, \"(-5.83, -5.78)\": 0.0256, \"(-5.78, -5.74)\": 0.0436, \"(-5.74, -5.7)\": 0.0645, \"(-5.7, -5.67)\": 0.0761, \"(-5.67, -5.63)\": 0.1011, \"(-5.63, -5.58)\": 0.1213, \"(-5.58, -5.54)\": 0.1406, \"(-5.54, -5.52)\": 0.1547, \"(-5.52, -5.49)\": 0.1652, \"(-5.49, -5.42)\": 0.1849, \"(-5.42, -5.35)\": 0.227, \"(-5.35, -5.31)\": 0.253, \"(-5.31, -5.27)\": 0.2648, \"(-5.27, -5.22)\": 0.2884, \"(-5.22, -5.18)\": 0.2993, \"(-5.18, -5.13)\": 0.3222, \"(-5.13, -5.09)\": 0.3353, \"(-5.09, -5.04)\": 0.3551, \"(-5.04, -4.98)\": 0.3696, \"(-4.98, -4.93)\": 0.3875, \"(-4.93, -4.9)\": 0.401, \"(-4.9, -4.85)\": 0.4122, \"(-4.85, -4.77)\": 0.4288, \"(-4.77, -4.69)\": 0.447, \"(-4.69, -4.61)\": 0.4632, \"(-4.61, -4.53)\": 0.4748, \"(-4.53, -4.42)\": 0.4852, \"(-4.42, -4.03)\": 0.4953, \"(-4.03, -3.96)\": 0.4833, \"(-3.96, -3.9)\": 0.4729, \"(-3.9, -3.83)\": 0.4605, \"(-3.83, -3.78)\": 0.4493, \"(-3.78, -3.74)\": 0.4358, \"(-3.74, -3.69)\": 0.4252, \"(-3.69, -3.65)\": 0.4127, \"(-3.65, -3.59)\": 0.394, \"(-3.59, -3.53)\": 0.3754, \"(-3.53, -3.49)\": 0.3565, \"(-3.49, -3.42)\": 0.345, \"(-3.42, -3.37)\": 0.3165, \"(-3.37, -3.32)\": 0.2971, \"(-3.32, -3.29)\": 0.2786, \"(-3.29, -3.24)\": 0.2643, \"(-3.24, -3.2)\": 0.2499, \"(-3.2, -3.17)\": 0.2281, \"(-3.17, -3.13)\": 0.2155, \"(-3.13, -3.1)\": 0.2001, \"(-3.1, -3.07)\": 0.1818, \"(-3.07, -3.04)\": 0.1718, \"(-3.04, -2.99)\": 0.1491, \"(-2.99, -2.96)\": 0.1301, \"(-2.96, -2.92)\": 0.1129, \"(-2.92, -2.88)\": 0.0967, \"(-2.88, -2.87)\": 0.085, \"(-2.87, -2.84)\": 0.0736, \"(-2.84, -2.82)\": 0.0615, \"(-2.82, -2.79)\": 0.0499, \"(-2.79, -2.76)\": 0.0358, \"(-2.76, -2.74)\": 0.0212, \"(-2.74, -2.7)\": 0.0101, \"(-2.7, -2.65)\": -0.0234, \"(-2.65, -2.63)\": -0.034, \"(-2.63, -2.6)\": -0.0461, \"(-2.6, -2.58)\": -0.0569, \"(-2.58, -2.54)\": -0.0707, \"(-2.54, -2.51)\": -0.0887, \"(-2.51, -2.47)\": -0.1083, \"(-2.47, -2.44)\": -0.127, \"(-2.44, -2.42)\": -0.1388, \"(-2.42, -2.37)\": -0.1492, \"(-2.37, -2.34)\": -0.1732, \"(-2.34, -2.3)\": -0.1866, \"(-2.3, -2.28)\": -0.2053, \"(-2.28, -2.22)\": -0.2206, \"(-2.22, -2.17)\": -0.249, \"(-2.17, -2.13)\": -0.2598, \"(-2.13, -2.07)\": -0.2871, \"(-2.07, -2.02)\": -0.3072, \"(-2.02, -1.96)\": -0.3323, \"(-1.96, -1.91)\": -0.3458, \"(-1.91, -1.85)\": -0.3716, \"(-1.85, -1.79)\": -0.3851, \"(-1.79, -1.73)\": -0.4108, \"(-1.73, -1.68)\": -0.4234, \"(-1.68, -1.62)\": -0.4342, \"(-1.62, -1.53)\": -0.4534, \"(-1.53, -1.47)\": -0.4654, \"(-1.47, -1.39)\": -0.4757, \"(-1.39, -1.17)\": -0.4883, \"(-1.17, -0.92)\": -0.4983, \"(-0.92, -0.83)\": -0.4836, \"(-0.83, -0.77)\": -0.4729, \"(-0.77, -0.68)\": -0.4612, \"(-0.68, -0.63)\": -0.4445, \"(-0.63, -0.57)\": -0.4343, \"(-0.57, -0.51)\": -0.4105, \"(-0.51, -0.46)\": -0.3991, \"(-0.46, -0.4)\": -0.3813, \"(-0.4, -0.33)\": -0.3579, \"(-0.33, -0.29)\": -0.3408, \"(-0.29, -0.27)\": -0.3275, \"(-0.27, -0.23)\": -0.3161, \"(-0.23, -0.19)\": -0.3006, \"(-0.19, -0.14)\": -0.2813, \"(-0.14, -0.09)\": -0.259, \"(-0.09, -0.07)\": -0.2477, \"(-0.07, -0.0)\": -0.2273, \"(-0.0, 0.04)\": -0.1997, \"(0.04, 0.09)\": -0.1817, \"(0.09, 0.13)\": -0.158, \"(0.13, 0.15)\": -0.1468, \"(0.15, 0.17)\": -0.1338, \"(0.17, 0.21)\": -0.1218, \"(0.21, 0.23)\": -0.106, \"(0.23, 0.28)\": -0.0917, \"(0.28, 0.33)\": -0.0619, \"(0.33, 0.36)\": -0.0501, \"(0.36, 0.4)\": -0.0273, \"(0.4, 0.43)\": -0.0097, \"(0.43, 0.45)\": 0.0047, \"(0.45, 0.48)\": 0.0167, \"(0.48, 0.5)\": 0.0335, \"(0.5, 0.55)\": 0.0464, \"(0.55, 0.6)\": 0.0779, \"(0.6, 0.63)\": 0.089, \"(0.63, 0.7)\": 0.1151, \"(0.7, 0.74)\": 0.1415, \"(0.74, 0.77)\": 0.1537, \"(0.77, 0.8)\": 0.1746, \"(0.8, 0.83)\": 0.1869, \"(0.83, 0.89)\": 0.1975, \"(0.89, 0.96)\": 0.2352, \"(0.96, 1.02)\": 0.2629, \"(1.02, 1.07)\": 0.2879, \"(1.07, 1.1)\": 0.3049, \"(1.1, 1.14)\": 0.3159, \"(1.14, 1.17)\": 0.3293, \"(1.17, 1.2)\": 0.3427, \"(1.2, 1.26)\": 0.3539, \"(1.26, 1.31)\": 0.3753, \"(1.31, 1.39)\": 0.3905, \"(1.39, 1.45)\": 0.4185, \"(1.45, 1.5)\": 0.4304, \"(1.5, 1.57)\": 0.4413, \"(1.57, 1.63)\": 0.4571, \"(1.63, 1.7)\": 0.4689, \"(1.7, 1.81)\": 0.4804, \"(1.81, 2.26)\": 0.4931, \"(2.26, 2.35)\": 0.4828, \"(2.35, 2.43)\": 0.462, \"(2.43, 2.5)\": 0.4515, \"(2.5, 2.57)\": 0.4303, \"(2.57, 2.63)\": 0.4153, \"(2.63, 2.67)\": 0.4007, \"(2.67, 2.71)\": 0.3874, \"(2.71, 2.77)\": 0.3731, \"(2.77, 2.83)\": 0.3464, \"(2.83, 2.87)\": 0.334, \"(2.87, 2.91)\": 0.3155, \"(2.91, 2.94)\": 0.305, \"(2.94, 2.96)\": 0.2938, \"(2.96, 3.0)\": 0.2803, \"(3.0, 3.05)\": 0.2599, \"(3.05, 3.11)\": 0.2445, \"(3.11, 3.19)\": 0.2037, \"(3.19, 3.24)\": 0.1768, \"(3.24, 3.29)\": 0.1503, \"(3.29, 3.32)\": 0.1313, \"(3.32, 3.36)\": 0.1166, \"(3.36, 3.39)\": 0.0985, \"(3.39, 3.42)\": 0.0871, \"(3.42, 3.45)\": 0.0701, \"(3.45, 3.48)\": 0.0586, \"(3.48, 3.5)\": 0.0445, \"(3.5, 3.54)\": 0.0209, \"(3.54, 3.58)\": 0.0082, \"(3.58, 3.61)\": -0.0042, \"(3.61, 3.64)\": -0.0273, \"(3.64, 3.66)\": -0.0374, \"(3.66, 3.69)\": -0.0488, \"(3.69, 3.75)\": -0.0747, \"(3.75, 3.79)\": -0.0973, \"(3.79, 3.83)\": -0.1177, \"(3.83, 3.87)\": -0.1339, \"(3.87, 3.89)\": -0.148, \"(3.89, 3.92)\": -0.1605, \"(3.92, 3.97)\": -0.1834, \"(3.97, 3.99)\": -0.1984, \"(3.99, 4.02)\": -0.2086, \"(4.02, 4.04)\": -0.2216, \"(4.04, 4.08)\": -0.2326, \"(4.08, 4.12)\": -0.2441, \"(4.12, 4.16)\": -0.2681, \"(4.16, 4.21)\": -0.2784, \"(4.21, 4.26)\": -0.3107, \"(4.26, 4.32)\": -0.3247, \"(4.32, 4.35)\": -0.3454, \"(4.35, 4.4)\": -0.3586, \"(4.4, 4.44)\": -0.3732, \"(4.44, 4.48)\": -0.3848, \"(4.48, 4.54)\": -0.402, \"(4.54, 4.58)\": -0.4125, \"(4.58, 4.65)\": -0.431, \"(4.65, 4.7)\": -0.4423, \"(4.7, 4.8)\": -0.4572, \"(4.8, 4.89)\": -0.4741, \"(4.89, 5.0)\": -0.4851, \"(5.0, 5.39)\": -0.4956, \"(5.39, 5.48)\": -0.4845, \"(5.48, 5.6)\": -0.4573, \"(5.6, 5.66)\": -0.4468, \"(5.66, 5.73)\": -0.4298, \"(5.73, 5.83)\": -0.4082, \"(5.83, 5.89)\": -0.3738, \"(5.89, 5.93)\": -0.3619, \"(5.93, 5.97)\": -0.3495, \"(5.97, 6.02)\": -0.3378, \"(6.02, 6.08)\": -0.312, \"(6.08, 6.11)\": -0.2887, \"(6.11, 6.17)\": -0.2745, \"(6.17, 6.22)\": -0.2522, \"(6.22, 6.28)\": -0.2184, \"(6.28, 6.33)\": -0.2018, \"(6.33, 6.41)\": -0.1736, \"(6.41, 6.49)\": -0.1297, \"(6.49, 6.55)\": -0.0984, \"(6.55, 6.58)\": -0.0759, \"(6.58, 6.6)\": -0.0629, \"(6.6, 6.63)\": -0.048, \"(6.63, 6.67)\": -0.0339, \"(6.67, 6.7)\": -0.0179, \"(6.7, 6.73)\": -0.0008, \"(6.73, 6.76)\": 0.0168, \"(6.76, 6.79)\": 0.0308, \"(6.79, 6.82)\": 0.0441, \"(6.82, 6.86)\": 0.0622, \"(6.86, 6.9)\": 0.0746, \"(6.9, 6.95)\": 0.1025, \"(6.95, 6.99)\": 0.1289, \"(6.99, 7.01)\": 0.1404, \"(7.01, 7.05)\": 0.1564, \"(7.05, 7.09)\": 0.1723, \"(7.09, 7.14)\": 0.1898, \"(7.14, 7.22)\": 0.2246, \"(7.22, 7.29)\": 0.2639, \"(7.29, 7.31)\": 0.2765, \"(7.31, 7.36)\": 0.2867, \"(7.36, 7.42)\": 0.3149, \"(7.42, 7.48)\": 0.3298, \"(7.48, 7.53)\": 0.3553, \"(7.53, 7.57)\": 0.3656, \"(7.57, 7.6)\": 0.3787, \"(7.6, 7.64)\": 0.3912, \"(7.64, 7.71)\": 0.4061, \"(7.71, 7.77)\": 0.4227, \"(7.77, 7.81)\": 0.4373, \"(7.81, 7.88)\": 0.4492, \"(7.88, 7.97)\": 0.466, \"(7.97, 8.05)\": 0.4764, \"(8.05, 8.2)\": 0.488, \"(8.2, 8.51)\": 0.4982, \"(8.51, 8.58)\": 0.4862, \"(8.58, 8.65)\": 0.4752, \"(8.65, 8.7)\": 0.4645, \"(8.7, 8.77)\": 0.4523, \"(8.77, 8.81)\": 0.4404, \"(8.81, 8.88)\": 0.4227, \"(8.88, 8.95)\": 0.4081, \"(8.95, 9.02)\": 0.3841, \"(9.02, 9.08)\": 0.3674, \"(9.08, 9.15)\": 0.3428, \"(9.15, 9.19)\": 0.3178, \"(9.19, 9.22)\": 0.3058, \"(9.22, 9.27)\": 0.2893, \"(9.27, 9.31)\": 0.266, \"(9.31, 9.36)\": 0.2484, \"(9.36, 9.39)\": 0.2301, \"(9.39, 9.41)\": 0.2195, \"(9.41, 9.45)\": 0.2083, \"(9.45, 9.48)\": 0.1963, \"(9.48, 9.52)\": 0.1719, \"(9.52, 9.55)\": 0.1589, \"(9.55, 9.58)\": 0.1455, \"(9.58, 9.59)\": 0.1348, \"(9.59, 9.63)\": 0.1229, \"(9.63, 9.7)\": 0.0987, \"(9.7, 9.77)\": 0.0544, \"(9.77, 9.81)\": 0.0351, \"(9.81, 9.84)\": 0.0124, \"(9.84, 9.87)\": 0.0002, \"(9.87, 9.89)\": -0.0116, \"(9.89, 9.94)\": -0.0273, \"(9.94, 9.96)\": -0.0465, \"(9.96, 9.99)\": -0.0585}\n", + "Means: {\"(-9.96, -9.64)\": -859.8, \"(-9.64, -8.69)\": -842.0, \"(-8.69, -8.43)\": -823.5, \"(-8.43, -8.2)\": -805.8, \"(-8.2, -8.06)\": -786.0, \"(-8.06, -7.95)\": -764.6, \"(-7.95, -7.84)\": -746.1, \"(-7.84, -7.74)\": -728.3, \"(-7.74, -7.64)\": -710.2, \"(-7.64, -7.57)\": -687.1, \"(-7.57, -7.48)\": -666.7, \"(-7.48, -7.41)\": -649.5, \"(-7.41, -7.33)\": -627.9, \"(-7.33, -7.24)\": -603.7, \"(-7.24, -7.17)\": -578.1, \"(-7.17, -7.11)\": -559.4, \"(-7.11, -7.06)\": -540.3, \"(-7.06, -6.99)\": -522.5, \"(-6.99, -6.93)\": -503.8, \"(-6.93, -6.88)\": -477.3, \"(-6.88, -6.81)\": -453.9, \"(-6.81, -6.73)\": -433.8, \"(-6.73, -6.67)\": -409.2, \"(-6.67, -6.63)\": -391.3, \"(-6.63, -6.54)\": -369.9, \"(-6.54, -6.49)\": -334.9, \"(-6.49, -6.42)\": -315.2, \"(-6.42, -6.34)\": -290.3, \"(-6.34, -6.31)\": -267.9, \"(-6.31, -6.23)\": -243.7, \"(-6.23, -6.16)\": -223.6, \"(-6.16, -6.1)\": -196.9, \"(-6.1, -6.04)\": -175.3, \"(-6.04, -5.98)\": -156.4, \"(-5.98, -5.93)\": -138.0, \"(-5.93, -5.87)\": -120.6, \"(-5.87, -5.8)\": -95.5, \"(-5.8, -5.73)\": -74.8, \"(-5.73, -5.66)\": -54.0, \"(-5.66, -5.59)\": -32.9, \"(-5.59, -5.53)\": -13.9, \"(-5.53, -5.46)\": 4.8, \"(-5.46, -5.36)\": 24.8, \"(-5.36, -5.3)\": 44.8, \"(-5.3, -5.22)\": 62.7, \"(-5.22, -5.1)\": 81.8, \"(-5.1, -4.97)\": 100.3, \"(-4.97, -4.81)\": 119.8, \"(-4.81, -3.96)\": 137.6, \"(-3.96, -3.84)\": 119.4, \"(-3.84, -3.71)\": 101.0, \"(-3.71, -3.61)\": 82.7, \"(-3.61, -3.48)\": 63.0, \"(-3.48, -3.37)\": 33.2, \"(-3.37, -3.27)\": 15.6, \"(-3.27, -3.19)\": -7.1, \"(-3.19, -3.08)\": -26.9, \"(-3.08, -2.97)\": -51.4, \"(-2.97, -2.88)\": -74.9, \"(-2.88, -2.77)\": -93.8, \"(-2.77, -2.67)\": -118.1, \"(-2.67, -2.56)\": -137.4, \"(-2.56, -2.46)\": -155.5, \"(-2.46, -2.34)\": -175.7, \"(-2.34, -2.22)\": -193.3, \"(-2.22, -2.06)\": -212.4, \"(-2.06, -1.8)\": -231.3, \"(-1.8, -1.18)\": -250.6, \"(-1.18, -1.01)\": -232.2, \"(-1.01, -0.86)\": -209.9, \"(-0.86, -0.75)\": -188.0, \"(-0.75, -0.64)\": -168.6, \"(-0.64, -0.56)\": -146.2, \"(-0.56, -0.46)\": -127.0, \"(-0.46, -0.38)\": -107.8, \"(-0.38, -0.29)\": -86.6, \"(-0.29, -0.21)\": -68.8, \"(-0.21, -0.13)\": -50.7, \"(-0.13, -0.06)\": -29.0, \"(-0.06, 0.02)\": -10.7, \"(0.02, 0.1)\": 8.5, \"(0.1, 0.17)\": 27.2, \"(0.17, 0.24)\": 47.1, \"(0.24, 0.36)\": 72.3, \"(0.36, 0.44)\": 91.5, \"(0.44, 0.53)\": 108.8, \"(0.53, 0.63)\": 129.5, \"(0.63, 0.77)\": 149.8, \"(0.77, 0.93)\": 182.1, \"(0.93, 1.05)\": 200.9, \"(1.05, 1.25)\": 222.6, \"(1.25, 2.12)\": 239.9, \"(2.12, 2.25)\": 221.4, \"(2.25, 2.39)\": 202.5, \"(2.39, 2.48)\": 183.5, \"(2.48, 2.56)\": 165.7, \"(2.56, 2.73)\": 140.6, \"(2.73, 2.82)\": 118.1, \"(2.82, 2.92)\": 98.4, \"(2.92, 3.02)\": 75.6, \"(3.02, 3.14)\": 51.2, \"(3.14, 3.24)\": 28.7, \"(3.24, 3.31)\": 7.6, \"(3.31, 3.4)\": -10.7, \"(3.4, 3.51)\": -29.6, \"(3.51, 3.61)\": -50.5, \"(3.61, 3.74)\": -71.8, \"(3.74, 3.87)\": -91.5, \"(3.87, 4.02)\": -109.7, \"(4.02, 4.24)\": -128.8, \"(4.24, 4.87)\": -147.0, \"(4.87, 4.99)\": -129.7, \"(4.99, 5.14)\": -111.1, \"(5.14, 5.27)\": -83.8, \"(5.27, 5.36)\": -64.6, \"(5.36, 5.43)\": -45.0, \"(5.43, 5.5)\": -26.6, \"(5.5, 5.56)\": -7.1, \"(5.56, 5.67)\": 19.9, \"(5.67, 5.73)\": 39.0, \"(5.73, 5.82)\": 58.2, \"(5.82, 5.92)\": 98.6, \"(5.92, 5.97)\": 118.4, \"(5.97, 6.02)\": 141.0, \"(6.02, 6.1)\": 158.6, \"(6.1, 6.15)\": 188.5, \"(6.15, 6.24)\": 207.5, \"(6.24, 6.31)\": 246.8, \"(6.31, 6.39)\": 272.7, \"(6.39, 6.46)\": 290.1, \"(6.46, 6.54)\": 322.4, \"(6.54, 6.6)\": 346.0, \"(6.6, 6.66)\": 368.0, \"(6.66, 6.72)\": 389.7, \"(6.72, 6.79)\": 416.7, \"(6.79, 6.86)\": 438.6, \"(6.86, 6.92)\": 460.0, \"(6.92, 6.98)\": 489.1, \"(6.98, 7.07)\": 506.5, \"(7.07, 7.19)\": 552.4, \"(7.19, 7.27)\": 571.9, \"(7.27, 7.37)\": 598.3, \"(7.37, 7.45)\": 628.4, \"(7.45, 7.55)\": 647.4, \"(7.55, 7.64)\": 671.7, \"(7.64, 7.74)\": 696.5, \"(7.74, 7.84)\": 716.9, \"(7.84, 7.96)\": 735.1, \"(7.96, 8.08)\": 754.5, \"(8.08, 8.23)\": 774.6, \"(8.23, 8.45)\": 792.5, \"(8.45, 8.83)\": 811.4, \"(8.83, 9.75)\": 829.2, \"(9.75, 10.0)\": 847.7}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3925,7 +3285,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3941,13 +3301,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.9, -9.8)\": -9943.0, \"(-9.8, -9.69)\": -8277.0, \"(-9.69, -9.66)\": -7967.0, \"(-9.66, -9.62)\": -7757.9, \"(-9.62, -9.59)\": -7475.9, \"(-9.59, -9.53)\": -7162.3, \"(-9.53, -9.49)\": -6726.9, \"(-9.49, -9.43)\": -6466.9, \"(-9.43, -9.39)\": -6171.1, \"(-9.39, -9.36)\": -5940.2, \"(-9.36, -9.3)\": -5632.6, \"(-9.3, -9.26)\": -5411.0, \"(-9.26, -9.2)\": -5169.0, \"(-9.2, -9.13)\": -4768.2, \"(-9.13, -9.08)\": -4506.7, \"(-9.08, -8.99)\": -4225.3, \"(-8.99, -8.92)\": -3991.9, \"(-8.92, -8.86)\": -3730.8, \"(-8.86, -8.76)\": -3376.6, \"(-8.76, -8.69)\": -3164.3, \"(-8.69, -8.61)\": -2941.5, \"(-8.61, -8.54)\": -2726.5, \"(-8.54, -8.43)\": -2469.3, \"(-8.43, -8.3)\": -2245.4, \"(-8.3, -8.19)\": -1995.6, \"(-8.19, -8.04)\": -1771.6, \"(-8.04, -7.88)\": -1522.1, \"(-7.88, -7.69)\": -1284.3, \"(-7.69, -7.45)\": -1068.7, \"(-7.45, -7.2)\": -861.8, \"(-7.2, -6.78)\": -650.5, \"(-6.78, -6.16)\": -444.2, \"(-6.16, -4.16)\": -237.4, \"(-4.16, 5.83)\": -32.2, \"(5.83, 6.64)\": 174.1, \"(6.64, 7.09)\": 396.5, \"(7.09, 7.39)\": 608.6, \"(7.39, 7.62)\": 820.2, \"(7.62, 7.82)\": 1028.0, \"(7.82, 7.99)\": 1275.7, \"(7.99, 8.12)\": 1484.8, \"(8.12, 8.24)\": 1693.4, \"(8.24, 8.36)\": 1909.4, \"(8.36, 8.46)\": 2140.7, \"(8.46, 8.54)\": 2349.1, \"(8.54, 8.66)\": 2650.1, \"(8.66, 8.73)\": 2912.7, \"(8.73, 8.8)\": 3190.7, \"(8.8, 8.9)\": 3419.1, \"(8.9, 8.97)\": 3678.2, \"(8.97, 9.06)\": 4049.3, \"(9.06, 9.15)\": 4369.4, \"(9.15, 9.23)\": 4858.2, \"(9.23, 9.26)\": 5111.3, \"(9.26, 9.32)\": 5331.8, \"(9.32, 9.36)\": 5612.1, \"(9.36, 9.41)\": 5826.7, \"(9.41, 9.45)\": 6262.7, \"(9.45, 9.54)\": 6520.0, \"(9.54, 9.6)\": 7187.3, \"(9.6, 9.66)\": 7439.4, \"(9.66, 9.7)\": 7942.5, \"(9.7, 9.72)\": 8198.8, \"(9.72, 9.76)\": 8499.6, \"(9.76, 9.79)\": 8766.2, \"(9.79, 9.82)\": 9034.5, \"(9.82, 9.85)\": 9252.5, \"(9.85, 9.89)\": 9647.8, \"(9.89, 9.91)\": 9885.1, \"(9.91, 9.94)\": 10115.0, \"(9.94, 9.98)\": 10540.9}\n", + "Means: {\"(-9.98, -9.94)\": -3.18, \"(-9.94, -9.89)\": -3.06, \"(-9.89, -9.81)\": -2.93, \"(-9.81, -9.7)\": -2.81, \"(-9.7, -9.59)\": -2.67, \"(-9.59, -9.47)\": -2.54, \"(-9.47, -9.35)\": -2.42, \"(-9.35, -9.21)\": -2.29, \"(-9.21, -9.07)\": -2.18, \"(-9.07, -8.92)\": -2.05, \"(-8.92, -8.79)\": -1.94, \"(-8.79, -8.64)\": -1.82, \"(-8.64, -8.47)\": -1.71, \"(-8.47, -8.3)\": -1.57, \"(-8.3, -8.14)\": -1.45, \"(-8.14, -7.96)\": -1.34, \"(-7.96, -7.77)\": -1.21, \"(-7.77, -7.55)\": -1.07, \"(-7.55, -7.4)\": -0.95, \"(-7.4, -7.21)\": -0.84, \"(-7.21, -7.02)\": -0.72, \"(-7.02, -6.83)\": -0.61, \"(-6.83, -6.64)\": -0.49, \"(-6.64, -6.45)\": -0.38, \"(-6.45, -6.27)\": -0.26, \"(-6.27, -6.05)\": -0.15, \"(-6.05, -5.84)\": -0.02, \"(-5.84, -5.65)\": 0.09, \"(-5.65, -5.43)\": 0.21, \"(-5.43, -5.21)\": 0.33, \"(-5.21, -5.02)\": 0.44, \"(-5.02, -4.83)\": 0.56, \"(-4.83, -4.61)\": 0.67, \"(-4.61, -4.41)\": 0.78, \"(-4.41, -4.21)\": 0.89, \"(-4.21, -3.99)\": 1.01, \"(-3.99, -3.79)\": 1.13, \"(-3.79, -3.57)\": 1.24, \"(-3.57, -3.35)\": 1.36, \"(-3.35, -3.14)\": 1.47, \"(-3.14, -2.92)\": 1.58, \"(-2.92, -2.68)\": 1.69, \"(-2.68, -2.46)\": 1.82, \"(-2.46, -2.24)\": 1.93, \"(-2.24, -2.0)\": 2.05, \"(-2.0, -1.79)\": 2.16, \"(-1.79, -1.56)\": 2.28, \"(-1.56, -1.32)\": 2.4, \"(-1.32, -1.09)\": 2.51, \"(-1.09, -0.85)\": 2.63, \"(-0.85, -0.56)\": 2.76, \"(-0.56, -0.3)\": 2.9, \"(-0.3, -0.06)\": 3.02, \"(-0.06, 0.18)\": 3.13, \"(0.18, 0.43)\": 3.26, \"(0.43, 0.67)\": 3.38, \"(0.67, 0.94)\": 3.5, \"(0.94, 1.17)\": 3.62, \"(1.17, 1.41)\": 3.74, \"(1.41, 1.63)\": 3.85, \"(1.63, 1.88)\": 3.96, \"(1.88, 2.09)\": 4.07, \"(2.09, 2.35)\": 4.19, \"(2.35, 2.57)\": 4.3, \"(2.57, 2.82)\": 4.42, \"(2.82, 3.09)\": 4.53, \"(3.09, 3.34)\": 4.65, \"(3.34, 3.6)\": 4.78, \"(3.6, 3.86)\": 4.89, \"(3.86, 4.06)\": 5.01, \"(4.06, 4.33)\": 5.12, \"(4.33, 4.59)\": 5.23, \"(4.59, 4.81)\": 5.35, \"(4.81, 5.07)\": 5.47, \"(5.07, 5.32)\": 5.58, \"(5.32, 5.57)\": 5.69, \"(5.57, 5.81)\": 5.81, \"(5.81, 6.06)\": 5.92, \"(6.06, 6.32)\": 6.03, \"(6.32, 6.56)\": 6.15, \"(6.56, 6.85)\": 6.26, \"(6.85, 7.16)\": 6.41, \"(7.16, 7.44)\": 6.54, \"(7.44, 7.7)\": 6.66, \"(7.7, 7.93)\": 6.78, \"(7.93, 8.2)\": 6.89, \"(8.2, 8.49)\": 7.01, \"(8.49, 8.71)\": 7.12, \"(8.71, 8.99)\": 7.24, \"(8.99, 9.25)\": 7.35, \"(9.25, 9.55)\": 7.49, \"(9.55, 9.78)\": 7.6, \"(9.78, 9.94)\": 7.71}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3957,7 +3317,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3973,13 +3333,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.99, -9.97)\": 10826.1, \"(-9.97, -9.94)\": 10590.0, \"(-9.94, -9.91)\": 10245.7, \"(-9.91, -9.89)\": 9981.2, \"(-9.89, -9.83)\": 9757.9, \"(-9.83, -9.75)\": 8942.9, \"(-9.75, -9.68)\": 8308.2, \"(-9.68, -9.64)\": 7859.4, \"(-9.64, -9.6)\": 7624.3, \"(-9.6, -9.58)\": 7392.2, \"(-9.58, -9.56)\": 7170.8, \"(-9.56, -9.52)\": 6956.0, \"(-9.52, -9.47)\": 6716.8, \"(-9.47, -9.43)\": 6407.5, \"(-9.43, -9.35)\": 6053.3, \"(-9.35, -9.27)\": 5569.4, \"(-9.27, -9.21)\": 5245.7, \"(-9.21, -9.17)\": 4947.0, \"(-9.17, -9.13)\": 4729.1, \"(-9.13, -9.05)\": 4484.4, \"(-9.05, -9.0)\": 4253.9, \"(-9.0, -8.9)\": 3964.3, \"(-8.9, -8.79)\": 3560.2, \"(-8.79, -8.7)\": 3185.2, \"(-8.7, -8.6)\": 2950.1, \"(-8.6, -8.51)\": 2693.6, \"(-8.51, -8.39)\": 2470.4, \"(-8.39, -8.28)\": 2173.3, \"(-8.28, -8.15)\": 1951.5, \"(-8.15, -8.0)\": 1692.2, \"(-8.0, -7.84)\": 1479.0, \"(-7.84, -7.64)\": 1250.9, \"(-7.64, -7.4)\": 1025.7, \"(-7.4, -7.09)\": 807.9, \"(-7.09, -6.63)\": 593.7, \"(-6.63, -5.77)\": 379.8, \"(-5.77, 4.55)\": 164.1, \"(4.55, 6.28)\": -49.2, \"(6.28, 6.86)\": -268.1, \"(6.86, 7.24)\": -487.9, \"(7.24, 7.52)\": -704.2, \"(7.52, 7.75)\": -931.7, \"(7.75, 7.91)\": -1160.4, \"(7.91, 8.06)\": -1381.0, \"(8.06, 8.2)\": -1607.4, \"(8.2, 8.33)\": -1879.5, \"(8.33, 8.44)\": -2095.6, \"(8.44, 8.56)\": -2351.0, \"(8.56, 8.66)\": -2663.1, \"(8.66, 8.74)\": -2912.8, \"(8.74, 8.82)\": -3126.9, \"(8.82, 8.9)\": -3457.8, \"(8.9, 8.97)\": -3695.9, \"(8.97, 9.05)\": -4046.4, \"(9.05, 9.08)\": -4288.6, \"(9.08, 9.16)\": -4532.5, \"(9.16, 9.21)\": -4773.1, \"(9.21, 9.26)\": -5104.8, \"(9.26, 9.34)\": -5447.6, \"(9.34, 9.4)\": -5800.4, \"(9.4, 9.45)\": -6103.2, \"(9.45, 9.51)\": -6454.8, \"(9.51, 9.55)\": -6891.7, \"(9.55, 9.59)\": -7123.5, \"(9.59, 9.64)\": -7501.0, \"(9.64, 9.7)\": -8012.7, \"(9.7, 9.75)\": -8240.7, \"(9.75, 9.8)\": -8717.9, \"(9.8, 9.86)\": -9274.7, \"(9.86, 9.89)\": -9610.1, \"(9.89, 9.92)\": -9902.3, \"(9.92, 9.93)\": -10240.2, \"(9.93, 9.98)\": -10480.6}\n", + "Means: {\"(-9.98, -9.97)\": -7.32, \"(-9.97, -9.95)\": -6.48, \"(-9.95, -9.94)\": -6.27, \"(-9.94, -9.93)\": -6.03, \"(-9.93, -9.9)\": -5.86, \"(-9.9, -9.87)\": -5.49, \"(-9.87, -9.84)\": -5.3, \"(-9.84, -9.79)\": -4.94, \"(-9.79, -9.73)\": -4.79, \"(-9.73, -9.67)\": -4.46, \"(-9.67, -9.62)\": -4.28, \"(-9.62, -9.55)\": -4.13, \"(-9.55, -9.47)\": -3.95, \"(-9.47, -9.41)\": -3.76, \"(-9.41, -9.32)\": -3.63, \"(-9.32, -9.22)\": -3.48, \"(-9.22, -9.11)\": -3.3, \"(-9.11, -9.01)\": -3.16, \"(-9.01, -8.89)\": -3.0, \"(-8.89, -8.77)\": -2.84, \"(-8.77, -8.61)\": -2.67, \"(-8.61, -8.47)\": -2.53, \"(-8.47, -8.31)\": -2.38, \"(-8.31, -8.13)\": -2.24, \"(-8.13, -7.95)\": -2.07, \"(-7.95, -7.77)\": -1.93, \"(-7.77, -7.58)\": -1.78, \"(-7.58, -7.37)\": -1.63, \"(-7.37, -7.15)\": -1.49, \"(-7.15, -6.96)\": -1.33, \"(-6.96, -6.74)\": -1.19, \"(-6.74, -6.5)\": -1.05, \"(-6.5, -6.27)\": -0.91, \"(-6.27, -6.03)\": -0.77, \"(-6.03, -5.81)\": -0.63, \"(-5.81, -5.53)\": -0.49, \"(-5.53, -5.28)\": -0.35, \"(-5.28, -5.01)\": -0.21, \"(-5.01, -4.74)\": -0.06, \"(-4.74, -4.48)\": 0.09, \"(-4.48, -4.17)\": 0.23, \"(-4.17, -3.9)\": 0.37, \"(-3.9, -3.61)\": 0.52, \"(-3.61, -3.34)\": 0.66, \"(-3.34, -3.05)\": 0.8, \"(-3.05, -2.73)\": 0.94, \"(-2.73, -2.42)\": 1.08, \"(-2.42, -2.1)\": 1.24, \"(-2.1, -1.8)\": 1.38, \"(-1.8, -1.43)\": 1.52, \"(-1.43, -1.08)\": 1.69, \"(-1.08, -0.76)\": 1.83, \"(-0.76, -0.43)\": 1.98, \"(-0.43, -0.09)\": 2.12, \"(-0.09, 0.24)\": 2.27, \"(0.24, 0.56)\": 2.41, \"(0.56, 0.86)\": 2.55, \"(0.86, 1.22)\": 2.69, \"(1.22, 1.54)\": 2.83, \"(1.54, 1.88)\": 2.97, \"(1.88, 2.21)\": 3.11, \"(2.21, 2.55)\": 3.25, \"(2.55, 2.9)\": 3.39, \"(2.9, 3.25)\": 3.53, \"(3.25, 3.57)\": 3.67, \"(3.57, 3.94)\": 3.81, \"(3.94, 4.28)\": 3.95, \"(4.28, 4.68)\": 4.09, \"(4.68, 5.04)\": 4.25, \"(5.04, 5.39)\": 4.39, \"(5.39, 5.71)\": 4.53, \"(5.71, 6.07)\": 4.67, \"(6.07, 6.43)\": 4.8, \"(6.43, 6.8)\": 4.96, \"(6.8, 7.18)\": 5.09, \"(7.18, 7.5)\": 5.23, \"(7.5, 7.87)\": 5.37, \"(7.87, 8.25)\": 5.51, \"(8.25, 8.62)\": 5.65, \"(8.62, 8.97)\": 5.79, \"(8.97, 9.33)\": 5.93, \"(9.33, 9.71)\": 6.08, \"(9.71, 9.99)\": 6.22}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -3989,7 +3349,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4005,13 +3365,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.98, -9.95)\": 10655.8, \"(-9.95, -9.95)\": 10525.1, \"(-9.95, -9.93)\": 10392.5, \"(-9.93, -9.92)\": 10223.9, \"(-9.92, -9.9)\": 10102.8, \"(-9.9, -9.88)\": 9809.9, \"(-9.88, -9.86)\": 9685.1, \"(-9.86, -9.84)\": 9494.3, \"(-9.84, -9.82)\": 9283.6, \"(-9.82, -9.81)\": 9159.7, \"(-9.81, -9.79)\": 9046.5, \"(-9.79, -9.78)\": 8906.3, \"(-9.78, -9.76)\": 8774.1, \"(-9.76, -9.75)\": 8631.5, \"(-9.75, -9.73)\": 8497.3, \"(-9.73, -9.7)\": 8319.5, \"(-9.7, -9.68)\": 8052.3, \"(-9.68, -9.64)\": 7909.7, \"(-9.64, -9.61)\": 7602.0, \"(-9.61, -9.54)\": 7340.8, \"(-9.54, -9.49)\": 6717.4, \"(-9.49, -9.47)\": 6589.9, \"(-9.47, -9.46)\": 6434.6, \"(-9.46, -9.41)\": 6322.6, \"(-9.41, -9.36)\": 5939.2, \"(-9.36, -9.34)\": 5777.1, \"(-9.34, -9.3)\": 5657.0, \"(-9.3, -9.26)\": 5351.5, \"(-9.26, -9.24)\": 5225.7, \"(-9.24, -9.22)\": 5083.4, \"(-9.22, -9.18)\": 4958.9, \"(-9.18, -9.15)\": 4790.2, \"(-9.15, -9.11)\": 4676.8, \"(-9.11, -9.08)\": 4526.4, \"(-9.08, -9.04)\": 4343.9, \"(-9.04, -8.98)\": 4177.3, \"(-8.98, -8.94)\": 3884.2, \"(-8.94, -8.89)\": 3747.1, \"(-8.89, -8.85)\": 3590.7, \"(-8.85, -8.79)\": 3416.8, \"(-8.79, -8.75)\": 3246.1, \"(-8.75, -8.71)\": 3127.2, \"(-8.71, -8.67)\": 3015.2, \"(-8.67, -8.64)\": 2882.0, \"(-8.64, -8.57)\": 2746.4, \"(-8.57, -8.51)\": 2594.9, \"(-8.51, -8.46)\": 2469.6, \"(-8.46, -8.4)\": 2334.7, \"(-8.4, -8.34)\": 2201.2, \"(-8.34, -8.27)\": 2082.8, \"(-8.27, -8.23)\": 1959.0, \"(-8.23, -8.15)\": 1832.0, \"(-8.15, -8.09)\": 1718.6, \"(-8.09, -8.02)\": 1604.9, \"(-8.02, -7.89)\": 1475.3, \"(-7.89, -7.77)\": 1304.5, \"(-7.77, -7.68)\": 1188.9, \"(-7.68, -7.56)\": 1072.0, \"(-7.56, -7.45)\": 960.8, \"(-7.45, -7.29)\": 838.4, \"(-7.29, -7.12)\": 726.7, \"(-7.12, -6.9)\": 605.2, \"(-6.9, -6.63)\": 491.2, \"(-6.63, -6.29)\": 373.9, \"(-6.29, -5.72)\": 265.0, \"(-5.72, -4.44)\": 154.2, \"(-4.44, 5.69)\": 44.8, \"(5.69, 6.25)\": 154.4, \"(6.25, 6.62)\": 266.9, \"(6.62, 6.88)\": 381.9, \"(6.88, 7.08)\": 493.0, \"(7.08, 7.27)\": 608.6, \"(7.27, 7.42)\": 727.0, \"(7.42, 7.55)\": 844.7, \"(7.55, 7.66)\": 960.5, \"(7.66, 7.75)\": 1071.6, \"(7.75, 7.86)\": 1182.3, \"(7.86, 7.94)\": 1299.1, \"(7.94, 8.01)\": 1419.2, \"(8.01, 8.07)\": 1545.5, \"(8.07, 8.18)\": 1661.4, \"(8.18, 8.25)\": 1803.5, \"(8.25, 8.32)\": 1942.2, \"(8.32, 8.43)\": 2064.1, \"(8.43, 8.53)\": 2469.3, \"(8.53, 8.6)\": 2605.6, \"(8.6, 8.63)\": 2728.5, \"(8.63, 8.7)\": 2864.2, \"(8.7, 8.74)\": 3006.2, \"(8.74, 8.79)\": 3178.0, \"(8.79, 8.83)\": 3322.3, \"(8.83, 8.89)\": 3523.4, \"(8.89, 8.92)\": 3644.9, \"(8.92, 8.96)\": 3789.2, \"(8.96, 8.99)\": 3916.2, \"(8.99, 9.04)\": 4119.5, \"(9.04, 9.1)\": 4330.1, \"(9.1, 9.13)\": 4490.0, \"(9.13, 9.2)\": 4781.8, \"(9.2, 9.23)\": 4990.1, \"(9.23, 9.26)\": 5117.9, \"(9.26, 9.28)\": 5246.7, \"(9.28, 9.31)\": 5428.0, \"(9.31, 9.36)\": 5590.8, \"(9.36, 9.4)\": 5899.2, \"(9.4, 9.43)\": 6092.1, \"(9.43, 9.44)\": 6245.1, \"(9.44, 9.49)\": 6425.1, \"(9.49, 9.55)\": 6865.9, \"(9.55, 9.56)\": 7049.2, \"(9.56, 9.58)\": 7167.9, \"(9.58, 9.61)\": 7311.0, \"(9.61, 9.64)\": 7624.9, \"(9.64, 9.66)\": 7753.2, \"(9.66, 9.68)\": 7897.0, \"(9.68, 9.72)\": 8114.0, \"(9.72, 9.76)\": 8526.9, \"(9.76, 9.78)\": 8741.5, \"(9.78, 9.8)\": 8896.9, \"(9.8, 9.83)\": 9110.8, \"(9.83, 9.87)\": 9405.4, \"(9.87, 9.9)\": 9899.9, \"(9.9, 9.91)\": 10024.6, \"(9.91, 9.95)\": 10165.3, \"(9.95, 9.98)\": 10696.4, \"(9.98, 9.99)\": 10855.0}\n", + "Means: {\"(-9.99, -9.9)\": 3.341, \"(-9.9, -9.81)\": 3.405, \"(-9.81, -9.69)\": 3.474, \"(-9.69, -9.56)\": 3.538, \"(-9.56, -9.42)\": 3.603, \"(-9.42, -9.2)\": 3.67, \"(-9.2, -8.16)\": 3.734, \"(-8.16, -7.91)\": 3.668, \"(-7.91, -7.7)\": 3.606, \"(-7.7, -7.48)\": 3.543, \"(-7.48, -7.27)\": 3.477, \"(-7.27, -7.08)\": 3.414, \"(-7.08, -6.89)\": 3.352, \"(-6.89, -6.67)\": 3.279, \"(-6.67, -6.47)\": 3.216, \"(-6.47, -6.29)\": 3.152, \"(-6.29, -6.08)\": 3.089, \"(-6.08, -5.88)\": 3.026, \"(-5.88, -5.69)\": 2.959, \"(-5.69, -5.52)\": 2.898, \"(-5.52, -5.32)\": 2.829, \"(-5.32, -5.09)\": 2.761, \"(-5.09, -4.9)\": 2.696, \"(-4.9, -4.69)\": 2.629, \"(-4.69, -4.46)\": 2.552, \"(-4.46, -4.25)\": 2.487, \"(-4.25, -4.04)\": 2.408, \"(-4.04, -3.85)\": 2.343, \"(-3.85, -3.65)\": 2.279, \"(-3.65, -3.46)\": 2.215, \"(-3.46, -3.25)\": 2.149, \"(-3.25, -3.04)\": 2.073, \"(-3.04, -2.85)\": 2.006, \"(-2.85, -2.65)\": 1.942, \"(-2.65, -2.46)\": 1.881, \"(-2.46, -2.26)\": 1.816, \"(-2.26, -2.07)\": 1.748, \"(-2.07, -1.87)\": 1.685, \"(-1.87, -1.68)\": 1.621, \"(-1.68, -1.47)\": 1.553, \"(-1.47, -1.29)\": 1.488, \"(-1.29, -1.09)\": 1.421, \"(-1.09, -0.9)\": 1.357, \"(-0.9, -0.71)\": 1.295, \"(-0.71, -0.52)\": 1.232, \"(-0.52, -0.33)\": 1.167, \"(-0.33, -0.12)\": 1.104, \"(-0.12, 0.07)\": 1.041, \"(0.07, 0.24)\": 0.973, \"(0.24, 0.46)\": 0.911, \"(0.46, 0.66)\": 0.843, \"(0.66, 0.84)\": 0.777, \"(0.84, 1.04)\": 0.716, \"(1.04, 1.24)\": 0.654, \"(1.24, 1.42)\": 0.588, \"(1.42, 1.6)\": 0.524, \"(1.6, 1.79)\": 0.463, \"(1.79, 1.99)\": 0.397, \"(1.99, 2.19)\": 0.334, \"(2.19, 2.39)\": 0.268, \"(2.39, 2.61)\": 0.199, \"(2.61, 2.79)\": 0.131, \"(2.79, 2.98)\": 0.067, \"(2.98, 3.2)\": -0.003, \"(3.2, 3.39)\": -0.068, \"(3.39, 3.58)\": -0.133, \"(3.58, 3.77)\": -0.195, \"(3.77, 3.96)\": -0.259, \"(3.96, 4.14)\": -0.32, \"(4.14, 4.37)\": -0.391, \"(4.37, 4.55)\": -0.457, \"(4.55, 4.78)\": -0.534, \"(4.78, 4.98)\": -0.598, \"(4.98, 5.21)\": -0.671, \"(5.21, 5.41)\": -0.734, \"(5.41, 5.59)\": -0.802, \"(5.59, 5.78)\": -0.867, \"(5.78, 5.99)\": -0.935, \"(5.99, 6.18)\": -0.997, \"(6.18, 6.36)\": -1.066, \"(6.36, 6.56)\": -1.127, \"(6.56, 6.76)\": -1.189, \"(6.76, 6.94)\": -1.255, \"(6.94, 7.13)\": -1.317, \"(7.13, 7.32)\": -1.38, \"(7.32, 7.49)\": -1.444, \"(7.49, 7.69)\": -1.508, \"(7.69, 7.91)\": -1.571, \"(7.91, 8.09)\": -1.636, \"(8.09, 8.3)\": -1.698, \"(8.3, 8.54)\": -1.777, \"(8.54, 8.75)\": -1.855, \"(8.75, 8.94)\": -1.921, \"(8.94, 9.12)\": -1.983, \"(9.12, 9.32)\": -2.047, \"(9.32, 9.51)\": -2.111, \"(9.51, 9.7)\": -2.173, \"(9.7, 9.89)\": -2.234, \"(9.89, 9.97)\": -2.3}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4021,7 +3381,7 @@ }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkUAAAHHCAYAAACx7iyPAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA9iklEQVR4nO3deXxU9b3/8fckZLIIEwIEEmrYXEAEQYKkoYBScxkp9prWS90eCogiNFghlE2QIMXSi1ZFRdFaAbXtRdp70QKCEbcqESEsyhIUZJOQAAoZCshk+f7+4JeRIQtJmMycmXk9H4956Jz5zsn35JDMO+f7+X6PzRhjBAAAEOYiAt0BAAAAKyAUAQAAiFAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAB7Dhw9X06ZN69z+wIEDiomJ0SeffFLvr/XjH/9YkyZNqvf7ADQeQhEANNCsWbOUlpamn/zkJ/V+7+TJkzV//nwVFRU1Qs8ANAShCAAa4MiRI1q8eLFGjx7doPffcsstcjgcev75533cMwANRSgCgAZ4/fXX1aRJE/385z9v0PsjIiL0X//1X3r11VfFfbkBayAUAbC0goIC/epXv1JiYqJiY2PVuXNnTZs2zavNpk2bNHjwYDkcDjVt2lQ33nijPv30U682paWlevTRR3XFFVcoJiZGLVu2VL9+/ZSbm1vlax48eFCZmZlq2rSpEhMT9dvf/lbl5eVebZYtW6a0tDSvGqQdO3YoNjZW99xzj1fbjz/+WJGRkZo8ebLX9v/4j//Qvn37tHnz5oZ8awD4GKEIgGV9/vnnSktL03vvvaf7779f8+bNU2Zmpv75z3962mzbtk39+/fXli1bNGnSJD3yyCPas2ePbrjhBq1bt87TbubMmXr00Uc1cOBAPffcc5o2bZratWunjRs3en3N8vJyOZ1OtWzZUk888YSuv/56/fGPf9RLL73kaVNaWqr169erV69eXu+96qqr9Lvf/U6vvfaa3nrrLUnSyZMnNXz4cHXp0kWzZs3yap+amipJDSrUBtAIDABY1IABA0yzZs3Mvn37vLZXVFR4/j8zM9PY7Xaze/duz7bCwkLTrFkzM2DAAM+2Hj16mCFDhtT69YYNG2YkmVmzZnltv/baa01qaqrn+a5du4wk8+yzz1bZR3l5uenXr59p06aNOXr0qMnKyjJNmjQx69evr/Zr2u12M2bMmFr7BcA/uFIEwJKOHDmijz76SPfee6/atWvn9ZrNZpN09qrOO++8o8zMTHXq1MnzenJysu688059/PHHcrlckqTmzZtr27Zt+uqrry74tc8vnu7fv7++/vprz/Nvv/1WkpSQkFDlvREREVq0aJH+/e9/a/DgwXr++ec1depU9e7du9qvlZCQoKNHj16wTwAaH6EIQMC53W4VFRV5PSpDSLdu3Wp835EjR3Tq1Cl17ty5ymtXXXWVKioqdODAAUlnp88fP35cV155pbp3766JEyfq888/r/K+mJgYJSYmem1LSEjQsWPHqrQ1NRRIX3bZZZo5c6bWr1+vq6++Wo888kiNx2CM8YQ8AIFFKAIQcGvXrlVycrLXw9cGDBig3bt365VXXlG3bt308ssvq1evXnr55Ze92kVGRl5wXy1btpSkaoNSpXfeeUeSVFhY6LmyVJ3jx4+rVatWdTkEAI2MUAQg4Hr06KHc3FyvR9u2bSVJW7durfF9iYmJiouL086dO6u8VlBQoIiICKWkpHi2tWjRQiNGjNDf/vY3HThwQNdcc41mzpxZ7/62a9dOsbGx2rNnT7WvL1iwQLm5uXrsscfkdrv1wAMPVNvu4MGDcrvduuqqq+rdBwC+1yTQHQCAhIQEZWRkVNk+YMAAvfLKK8rOzvaqK6occoqMjNSgQYP05ptvau/everQoYMkqbi4WH/961/Vr18/ORwOSWfrgCqv8EhS06ZNdfnll3uG1+ojKipKvXv31oYNG6q8tmfPHk2cOFG33nqrHn74YbVs2VKjR4/Wq6++WmWqfn5+viSpb9++9e4DAN8jFAGwrGeeeUb9+vVTr169NGrUKHXs2FF79+7VihUrPGv7zJ49W7m5uerXr59+/etfq0mTJnrxxRd15swZzZ0717Ovrl276oYbblBqaqpatGihDRs26O9//7vGjh3boL7dcsstmjZtmlwulyd4GWN07733KjY2Vi+88IIk6YEHHtA//vEPPfTQQ8rIyPBcAZOk3NxctWvXTtdee20Dv0MAfCqwk98AoHZbt241v/jFL0zz5s1NTEyM6dy5s3nkkUe82mzcuNE4nU7TtGlTExcXZwYOHGjWrl3r1Wb27NmmT58+pnnz5iY2NtZ06dLFPPbYY8btdnvaDBs2zFxyySVV+pCTk2PO/3VZXFxsmjRpYl577TXPtnnz5hlJ5h//+IdX2/379xuHw2F+9rOfebaVl5eb5ORkM3369Pp/UwA0CpsxrC8PAA0xcuRIffnll/rXv/5V7/cuW7ZMd955p3bv3t0oheUA6o9QBAANtH//fl155ZVas2aNfvKTn9Trvenp6erfv7/XEB+AwCIUAQAAiCn5AAAAkghFAAAAkghFAAAAkghFAAAAkli8sc4qKipUWFioZs2acfNGAACChDFGJ06cUNu2bRURUfu1IEJRHRUWFnrdQwkAAASPAwcO6NJLL621DaGojpo1aybp7De1ckl/AABgbS6XSykpKZ7P8doQiuqocsjM4XAQigAACDJ1KX2h0BoAAECEIgAAAEmEIgAAAEmEIgAAAEmEIgAAAEmEIgAAAEmEIgAAAEmEIgAAAEmEIgAAAEmEIgAAAElhGIrmz5+vDh06KCYmRmlpafrss88C3SUAAGABYRWKlixZouzsbOXk5Gjjxo3q0aOHnE6nDh8+HOiuAQCAALMZY0ygO+EvaWlpuu666/Tcc89JkioqKpSSkqIHH3xQU6ZMqfW9LpdL8fHxKikp4YawCHnGGJ0uLQ90N4BGFRsVWaebhCK41efzu4mf+hRwbrdb+fn5mjp1qmdbRESEMjIylJeXV6X9mTNndObMGc9zl8vll34CgWaM0X8tyFP+vmOB7grQqHq3T9DS0ekEI3iEzfDZ0aNHVV5erjZt2nhtb9OmjYqKiqq0nzNnjuLj4z2PlJQUf3UVCKjTpeUEIoSFDfuOcUUUXsLmSlF9TZ06VdnZ2Z7nLpeLYISws2F6huLskYHuBuBTp9zl6j373UB3AxYUNqGoVatWioyMVHFxsdf24uJiJSUlVWkfHR2t6Ohof3UPFhSudTWn3D8cc5w9UnH2sPk1gTB07r/3+qAeKTSFzW87u92u1NRUrVmzRpmZmZLOFlqvWbNGY8eODWznYDnU1QDhoaFXjKhHCk1hU1MkSdnZ2frTn/6kxYsXa8eOHRozZoxOnjypESNGBLprsBjqas7+0o+NYugMoSc2KlK92ydc1D6oRwpNYXOlSJJuu+02HTlyRDNmzFBRUZF69uypVatWVSm+RmhpyDDYuZfUw7WuhuEBhCqbzaalo9MbFGrOrUe60NAbP0PBJ6zWKboYrFMUnHwxDLZ9lpO6GgCSpFPuMnWdsbpObRlis4b6fH6H1fAZws/FDoMxhATgXPUZemOILfjw5y+C2oWGxi52GIzL3wDOVZeht7oMsfG7xZoIRQha9R0aY3o5AF+w2Wx1/l1S0+w2htasieEzBK36DI0xDAbAX+oyxMbQmjXxZzNCwoWGxrhUDcBfahtiYzVtayMUwfJqqhti5WUAVlWXIbZzf4fxh5s18CkCS2NlaQCh6twrRtQYWQM1RbC0utQNUS8EIFjUVG9EjZE1cKUIlnL+UFldptRz2RlAsDi/3ogaI2shFMEyLjRURt0QgFBQU73R+Wsa8Qef//EJA8uobaiMITIAoe78K0bUGfkfoQiWdP5QGX8xAQhFlTVGG6r5g7Cyzogr5P7DdxoBU1v9EENlAMJBdWsaVXebEP4w9A8+dRAQTLUHgLNqW9OoMhwxlOYfTMlHQFA/BADVq27aPlP2/YMrRQg46ocA4AfnDqkxlOZfhCL4zbk1RNQPAUDNqhtSYyit8fFJBL+ghggA6q+62WnMSms8fEfhFzXVEFE/BAA1q2koDY2DUAS/O7eGiLFxAKhddUNp1Bc1DkIRGlVlHRE1RADgO9QXNQ4+mdBoqCMCAN+hvqjx8V1Eo6mujogaIgBomNqm6jOM5huEIvhFZR0RP7gA0HA1TdVnGM03WNEaPmeM0Sl3WbV1RPzAAsDFO3/Va1a89g2uFMGnqCMCgMZXOZT27Uk30/R9iCtF8CnqiADAP84Opf3wu/WUu1zGmAD2KPhxpQiNhjoiAPAfaosuHleK4DNna4moIwIAf6G2yLe4UgSfoJYIAPyvutoipug3HFeK4BPn1xJRRwQA/nF+bVHv2e9q6II86osagCtFuGjnD5ttmJ6hlpfY+SsFAPzk/NWuWem6Yfhu4aJUN2wWZ+eyLQD4E1P0fYNQhIvCsBkAWEN1U/QlUV9UD4Qi+AzDZgBgHZVXjJimX3cUWqPBqpuCzw8dAATO+VP0Jabp1wdXitAgTMEHAOuprC06XVquU+5y6ovqiVCEBqGWCACs6WxtkffHO2sX1Q2hCBeNWiIAsDZuAVI31BTholFLBADWwy1A6o9QhHo5W1xd5lVgDQCwnsr6og3TMwLdlaDB8BnqjOJqAAgu569dxJ0/aseVItTZ+cXVEgXWABBMuCda7bhShAbZMD1DcfZIZjMAgMXFRkWqa7JD2w+5tP2Qi3ui1YIrRaizc/+4iLNHKs7ehEAEABZXWVuECyMUoU6MMRq6IC/Q3QAANMC5f7+ecpczhFYDQhHq5HRpubYfckmSuiY7qCMCgCDVe/a71BbVgFCECzr/Hmcs/gUAwYU1i+qGSivUqrpp+OQhAAgulXVF3550cz+0WnClCLXiHmcAEBpYs+jCAhaK9u7dq5EjR6pjx46KjY3VZZddppycHLndbq92n3/+ufr376+YmBilpKRo7ty5Vfa1dOlSdenSRTExMerevbtWrlzp9boxRjNmzFBycrJiY2OVkZGhr776qlGPLxRtmJ7B0BkAhAjqiqoKWCgqKChQRUWFXnzxRW3btk1PPfWUFixYoIcfftjTxuVyadCgQWrfvr3y8/P1+OOPa+bMmXrppZc8bdauXas77rhDI0eO1KZNm5SZmanMzExt3brV02bu3Ll65plntGDBAq1bt06XXHKJnE6nvv/+e78ec7A5v5aIe5wBQHCrXLNIkmfNIvzAZiwUEx9//HG98MIL+vrrryVJL7zwgqZNm6aioiLZ7XZJ0pQpU7Rs2TIVFBRIkm677TadPHlSy5cv9+znxz/+sXr27KkFCxbIGKO2bdtqwoQJ+u1vfytJKikpUZs2bbRo0SLdfvvtdeqby+VSfHy8SkpK5HA4fHnYllRdLdH2WU4W/AKAIHfyTJmuzlktKTx+r9fn89tSNUUlJSVq0aKF53leXp4GDBjgCUSS5HQ6tXPnTh07dszTJiPD+2Z3TqdTeXln19TZs2ePioqKvNrEx8crLS3N06Y6Z86ckcvl8nqEE2qJACA0nXvB3zqXRazBMqFo165devbZZ/XAAw94thUVFalNmzZe7SqfFxUV1drm3NfPfV91baozZ84cxcfHex4pKSkNPLLgRy0RAIQm6oq8+TwUTZkyRTabrdZH5dBXpYMHD+qmm27S0KFDdf/99/u6Sw0ydepUlZSUeB4HDhwIdJcChloiAAgd1BXVzOcDiRMmTNDw4cNrbdOpUyfP/xcWFmrgwIHq27evVwG1JCUlJam4uNhrW+XzpKSkWtuc+3rltuTkZK82PXv2rLGP0dHRio6OrvU4AAAINpVrFlXWFeEHPg9FiYmJSkxMrFPbgwcPauDAgUpNTdXChQsVEeF94So9PV3Tpk1TaWmpoqKiJEm5ubnq3LmzEhISPG3WrFmjcePGed6Xm5ur9PSzN7/r2LGjkpKStGbNGk8IcrlcWrduncaMGXORRwsAQPA5/15osVGMCEgBrCk6ePCgbrjhBrVr105PPPGEjhw5oqKiIq86nzvvvFN2u10jR47Utm3btGTJEs2bN0/Z2dmeNg899JBWrVqlP/7xjyooKNDMmTO1YcMGjR07VtLZRDxu3DjNnj1bb731lr744gvdc889atu2rTIzM/192JZ3dhp+mddUfABA6OJeaD8I2Dy83Nxc7dq1S7t27dKll17q9VrliYmPj9c777yjrKwspaamqlWrVpoxY4ZGjRrladu3b1/99a9/1fTp0/Xwww/riiuu0LJly9StWzdPm0mTJunkyZMaNWqUjh8/rn79+mnVqlWKiYnxz8EGieqm4QMAQk/lvdA2/P/f95X3Qgv16fkXYql1iqwsHNYpOuUuU9cZ3mPMvdsnMPMMAEKQMcbrXmihumZRfT6/Q+/o4RMbpmcozh7JODMAhKjz74UGC61TBGuJs0cqzt6EQAQAYeKUuzzs64oIRQAAgIJrEYoAAAhblQXXlSoLrsMVoQiSKqfih+8PAgCEo8qFHDdMz7hw4zBAoTWYig8AYYyC6x9wpQg6XVruFYh6t09QbBQ/IAAQjsK4pIhQBG8bpmewLhEAhLFwLrYmFMFLnJ11iQAg3MRGRapr8tmFDbcfcoVtsTWhCACAMFdZcB3uCEUAAEDnDhKE6egZoSjcMRUfAHC+cK0rYkp+GGMqPgCgUmVd0fZDLk9dUSjeILY2XCkKY0zFBwBUoq6IK0X4/zZMz1DLS+zMPAOAMBbuHwFcKYIkpuIDALydcpeHXV0RoQgAAFTRe/a7YVdwTSgCAACSzhZb926f4Hm+Yd+xsFrIkVAUxsIo/AMA6qCy2HrD9IxAdyUgCEVhyhijoQvyAt0NAIDF2Gw2xdnDcyYyoShMnS4t1/ZDLklS12QHU/EBAGGPUAQtHZ3OzDMAQNgjFIWpc+uJyEMAgJqEU/0poSgMUU8EAKircJqWTygKQ9QTAQBqU3kfNEme+6CFA0JRmKOeCABwvnC9DxqhKMyRhwAA1QnHzwdCURgKk6FhAICPhMvnBqEozFBkDQCor3AptiYUhRmKrAEAdRGOxdaEojBGkTUAoCbhWGxNKAozLNoIAKircPucIBSFEeqJAAANFQYlRYSicEI9EQCgocKh2JpQFKaoJwIAXEi4FVsTisII9UQAgPoIt2JrQlGYoJ4IANAQ5/4RHeKjZ4SicEE9EQDgYoV6XRGhKAxRTwQAqKtwqisiFIUJ6okAAA0RTnVFhKIwQD0RAOBihEtdEaEoDFBPBADwlVCuKyIUhRnqiQAA9RUudUWEojBAPREA4GKES10RoSjEUU8EAPCFcPijmlAU4qgnAgCgbghFYYR6IgCAL5xyl4dksTWhKIyQhwAAvtB79rshOQuNUBTiQuzfKwAgQGKjItW7fYLn+YZ9x0JuFhqhKIRRZA0A8JXKGWgbpmcEuiuNxhKh6MyZM+rZs6dsNps2b97s9drnn3+u/v37KyYmRikpKZo7d26V9y9dulRdunRRTEyMunfvrpUrV3q9bozRjBkzlJycrNjYWGVkZOirr75qzEOyBIqsAQC+ZLPZFGcP3c8SS4SiSZMmqW3btlW2u1wuDRo0SO3bt1d+fr4ef/xxzZw5Uy+99JKnzdq1a3XHHXdo5MiR2rRpkzIzM5WZmamtW7d62sydO1fPPPOMFixYoHXr1umSSy6R0+nU999/75fjswKKrAEAqF3AQ9Hbb7+td955R0888USV1/7yl7/I7XbrlVde0dVXX63bb79dv/nNb/Tkk0962sybN0833XSTJk6cqKuuukq/+93v1KtXLz333HOSzl4levrppzV9+nTdcsstuuaaa/Tqq6+qsLBQy5Yt89dhBhx5CACA2gU0FBUXF+v+++/Xa6+9pri4uCqv5+XlacCAAbLb7Z5tTqdTO3fu1LFjxzxtMjK8xzedTqfy8s7W0uzZs0dFRUVebeLj45WWluZpU50zZ87I5XJ5PQAAQOgKWCgyxmj48OEaPXq0evfuXW2boqIitWnTxmtb5fOioqJa25z7+rnvq65NdebMmaP4+HjPIyUlpR5HBwAAgo3PQ9GUKVNks9lqfRQUFOjZZ5/ViRMnNHXqVF93wSemTp2qkpISz+PAgQOB7lK9MR0fANCYQu1zpomvdzhhwgQNHz681jadOnXSe++9p7y8PEVHR3u91rt3b911111avHixkpKSVFxc7PV65fOkpCTPf6trc+7rlduSk5O92vTs2bPGPkZHR1fpWzBhOj4AoLENXZCnFb/pFzITeXweihITE5WYmHjBds8884xmz57teV5YWCin06klS5YoLS1NkpSenq5p06aptLRUUVFRkqTc3Fx17txZCQkJnjZr1qzRuHHjPPvKzc1VevrZu/l27NhRSUlJWrNmjScEuVwurVu3TmPGjPHFIVsS0/EBAI0hNipSXZMd2n7Ipe2HXDpdWq44u8/jREAErKaoXbt26tatm+dx5ZVXSpIuu+wyXXrppZKkO++8U3a7XSNHjtS2bdu0ZMkSzZs3T9nZ2Z79PPTQQ1q1apX++Mc/qqCgQDNnztSGDRs0duxYSWfXVBg3bpxmz56tt956S1988YXuuecetW3bVpmZmX4/7kBgOj4AwFcqF3EMRZaOdvHx8XrnnXeUlZWl1NRUtWrVSjNmzNCoUaM8bfr27au//vWvmj59uh5++GFdccUVWrZsmbp16+ZpM2nSJJ08eVKjRo3S8ePH1a9fP61atUoxMTGBOCy/Iw8BAHwpVD9XbCbU7ubWSFwul+Lj41VSUiKHwxHo7lzQyTNlujpntSRp+yxnyFzaBAAE3il3mbrOCI7PmPp8fgd88Ub4HkXWAADUH6EoBFFkDQBA/RGKQhxF1gCAxhRKRTiEohBHHgIANKahC/IUKuXJhCIAAFAvlWsVSfKsVRQKCEUAAKBezl+rKEQuFBGKAABA/Z1bnhEqQ2iEohAUAv8uAQAWF4pDaISiEMMaRQAAfwjF230QikIMaxQBAPwl1GY4E4pCGGsUAQBQd4SiEEYeAgCg7ghFIYYiawAAGoZQFEIosgYABEoo/FFOKAohFFkDAAIlFNYqIhSFKIqsAQCNLdTWKiIUhZBzAzp5CADQ2EJtrSJCUYignggAEAjn/hEe5KNnhKJQQT0RACDQgr2uiFAUgqgnAgD4SyjVFRGKQhB5CADgL6FUV0QoAgAAFyVU/hgnFAEAAIhQBAAAIIlQFDKCuNgfAABLIBSFANYoAgBYRTD/kU4oCgGsUQQAsIpgXquIUBRiWKMIAOBvobJWEaEoxJCHAAD+FiprFRGKAADARQuFP8oJRQAAACIUAQAAH9t20BXoLjQIoQgAAECEIgAAAEmEIgAA4GPfl5YH5VpFhCIAAOBTd7/yWVAu4kgoCnLGGOXvPRbobgAAwlxsVKR6t0/wPN+w71jQLeLYJNAdQMMZY/RfC/KUv49QBAAIrMoFHD/+6qjufuWzQHenQbhSFMROl5Z7BaLe7RO47xkAIGBsNptigvhziCtFIeK1e/uo3xWtuO8ZAAANxJWiEJHaIYFABADARSAUAQAAn7n6R45Ad6HBCEUAAAAiFAEAAEgiFAEAAEgiFAEAAEgiFAW1IFs9HQAASyMUBSljjIYuyAt0NwAACBmEoiB1urRc2w+5JEldkx2sZA0AwEUiFIWApaPTWbgRAICLFPBQtGLFCqWlpSk2NlYJCQnKzMz0en3//v0aMmSI4uLi1Lp1a02cOFFlZWVebT744AP16tVL0dHRuvzyy7Vo0aIqX2f+/Pnq0KGDYmJilJaWps8+C86b1VWHPAQAwMULaCj6xz/+obvvvlsjRozQli1b9Mknn+jOO+/0vF5eXq4hQ4bI7XZr7dq1Wrx4sRYtWqQZM2Z42uzZs0dDhgzRwIEDtXnzZo0bN0733XefVq9e7WmzZMkSZWdnKycnRxs3blSPHj3kdDp1+PBhvx4vAACwLpsxgZnDVFZWpg4dOujRRx/VyJEjq23z9ttv6+abb1ZhYaHatGkjSVqwYIEmT56sI0eOyG63a/LkyVqxYoW2bt3qed/tt9+u48ePa9WqVZKktLQ0XXfddXruueckSRUVFUpJSdGDDz6oKVOm1Km/LpdL8fHxKikpkcMR+CXMT7nL1HXG2eC3fZZTcXbu7QsACDyrfT7V5/M7YFeKNm7cqIMHDyoiIkLXXnutkpOTNXjwYK9wk5eXp+7du3sCkSQ5nU65XC5t27bN0yYjI8Nr306nU3l5Z2dmud1u5efne7WJiIhQRkaGp00wYjo+AAC+FbBQ9PXXX0uSZs6cqenTp2v58uVKSEjQDTfcoO+++06SVFRU5BWIJHmeFxUV1drG5XLp9OnTOnr0qMrLy6ttU7mP6pw5c0Yul8vrYRVMxwcAwPd8HoqmTJkim81W66OgoEAVFRWSpGnTpunWW29VamqqFi5cKJvNpqVLl/q6W/U2Z84cxcfHex4pKSmB7pIH0/EBAPA9nw/0TZgwQcOHD6+1TadOnXTo0CFJUteuXT3bo6Oj1alTJ+3fv1+SlJSUVGWWWHFxsee1yv9Wbju3jcPhUGxsrCIjIxUZGVltm8p9VGfq1KnKzs72PHe5XJYKRpWYjg8AgG/4PBQlJiYqMTHxgu1SU1MVHR2tnTt3ql+/fpKk0tJS7d27V+3bt5ckpaen67HHHtPhw4fVunVrSVJubq4cDocnTKWnp2vlypVe+87NzVV6erokyW63KzU1VWvWrPFM96+oqNCaNWs0duzYGvsXHR2t6Ojo+h18AJCHAADwjYDVFDkcDo0ePVo5OTl65513tHPnTo0ZM0aSNHToUEnSoEGD1LVrV919993asmWLVq9erenTpysrK8sTWEaPHq2vv/5akyZNUkFBgZ5//nm98cYbGj9+vOdrZWdn609/+pMWL16sHTt2aMyYMTp58qRGjBjh/wMHAACWFNB5co8//riaNGmiu+++W6dPn1ZaWpree+89JSQkSJIiIyO1fPlyjRkzRunp6brkkks0bNgwzZo1y7OPjh07asWKFRo/frzmzZunSy+9VC+//LKcTqenzW233aYjR45oxowZKioqUs+ePbVq1aoqxdcAAMB3TrnLFRsVGTRlHgFbpyjYWGmdIqutAQEAQKVzP6MkqXf7hIDWvwbFOkUAACD0xEZFqnf7BM/zDfuO6XRpeQB7VHeEoiDEtT0AgFXZbDYtHZ2uDdMzLtzYYghFQYaFGwEAVmez2RRn/2ENvWD5Y55QFGRYuBEAEGyGLshTMJQwE4qCGAs3AgCsKjYqUl2TzxY2bz/kCoq6IkJRECMPAQCsqrK2KJgQigAAQKMItj/eCUUAAAAiFAWdIKhTAwAgKBGKggjT8QEAaDyEoiDCdHwAQLAKhpEOQlGQYjo+ACCYBMNaRYSiIEUeAgBYXbCtVUQoAgAAjSLY1ioiFAEAgEYTTCMbhCIAAAARigAAACQRioKKxYv2AQAIaoSiIMHCjQAANC5CUZBg4UYAABoXoSgIsXAjAAC+RygKQuQhAAB8j1AEAAAgQhEAAPATq8+iJhQBAAC/sPpNYQlFAACg0QTTTWEJRQAAoNEE001hCUUAAKBRnTtr2sKjZ4QiAADgP1auKyIUBQmL/vsBAOCCgqWuiFAUBLjvGQAgmAVLXRGhKAhw3zMAQLALhrsxEIqCDPc9AwCgcRCKggx5CACAxkEoCgIUWQMA0PgIRRZHkTUAAP5BKLI4iqwBAPAPQlEQocgaAIDGQygKIuQhAAAaD6EIAABAhCIAAABJhCIAAABJhCIAAABJhCIAAOBnVl2UmFAEAAD8auiCPBkLJiNCEQAAaHSxUZHqmuyQJG0/5NLp0vIA96gqQhEAAGh0NptNS0enB7obtSIUAQAAvzh3EWILjp4RiqzOiv9oAAC4WFasKyIUWZgxRkMX5AW6GwAA+ITV64oCGoq+/PJL3XLLLWrVqpUcDof69eun999/36vN/v37NWTIEMXFxal169aaOHGiysrKvNp88MEH6tWrl6Kjo3X55Zdr0aJFVb7W/Pnz1aFDB8XExCgtLU2fffZZYx6aT5wuLdf2Qy5JUtdkh2KjIgPcIwAAGs7qdUUBDUU333yzysrK9N577yk/P189evTQzTffrKKiIklSeXm5hgwZIrfbrbVr12rx4sVatGiRZsyY4dnHnj17NGTIEA0cOFCbN2/WuHHjdN9992n16tWeNkuWLFF2drZycnK0ceNG9ejRQ06nU4cPH/b7MTfU0tHpsnFHWABAkLPyR5nNBGhA7+jRo0pMTNRHH32k/v37S5JOnDghh8Oh3NxcZWRk6O2339bNN9+swsJCtWnTRpK0YMECTZ48WUeOHJHdbtfkyZO1YsUKbd261bPv22+/XcePH9eqVaskSWlpabruuuv03HPPSZIqKiqUkpKiBx98UFOmTKlTf10ul+Lj41VSUiKHw+HLb0WNTrnL1HXG2XC3fZZTcfYmfvm6AAA0Fn9/ttXn8ztgV4patmypzp0769VXX9XJkydVVlamF198Ua1bt1ZqaqokKS8vT927d/cEIklyOp1yuVzatm2bp01GRobXvp1Op/LyztbiuN1u5efne7WJiIhQRkaGpw0AAEDALj3YbDa9++67yszMVLNmzRQREaHWrVtr1apVSkhIkCQVFRV5BSJJnueVQ2w1tXG5XDp9+rSOHTum8vLyatsUFBTU2L8zZ87ozJkznucul6vhBwsAACzP51eKpkyZIpvNVuujoKBAxhhlZWWpdevW+te//qXPPvtMmZmZ+vnPf65Dhw75ulv1NmfOHMXHx3seKSkpge4SAABoRD6/UjRhwgQNHz681jadOnXSe++9p+XLl+vYsWOeMb7nn39eubm5Wrx4saZMmaKkpKQqs8SKi4slSUlJSZ7/Vm47t43D4VBsbKwiIyMVGRlZbZvKfVRn6tSpys7O9jx3uVwEIwAAQpjPQ1FiYqISExMv2O7UqVOSztb3nCsiIkIVFRWSpPT0dD322GM6fPiwWrduLUnKzc2Vw+FQ165dPW1WrlzptY/c3Fylp5+d8me325Wamqo1a9YoMzNT0tlC6zVr1mjs2LE19i86OlrR0dF1OGIAABAKAlZonZ6eroSEBA0bNkxbtmzRl19+qYkTJ3qm2EvSoEGD1LVrV919993asmWLVq9erenTpysrK8sTWEaPHq2vv/5akyZNUkFBgZ5//nm98cYbGj9+vOdrZWdn609/+pMWL16sHTt2aMyYMTp58qRGjBgRkGOvK4st9AkAQEgLWKF1q1attGrVKk2bNk0//elPVVpaqquvvlpvvvmmevToIUmKjIzU8uXLNWbMGKWnp+uSSy7RsGHDNGvWLM9+OnbsqBUrVmj8+PGaN2+eLr30Ur388styOp2eNrfddpuOHDmiGTNmqKioSD179tSqVauqFF9bCatZAwDgXwFbpyjY+HudonPXceia7NCK3/Rj8UYAQNBjnSJcFFazBgCEIqtdliEUBQHyEAAgFA1dkCcrDVgRigAAgN/ERkWqa/LZYazth1w6XVoe4B79gFAEAAD8xmazaeno9EB3o1qEIgAA4FdWLQshFAEAAIhQBAAAIIlQBAAAIIlQBAAAIIlQZFkWWrYBAICwQCiyIO57BgCA/xGKLOh0abm2H3JJOnvfs9ioyAD3CACA0EcosjjuewYAgH8QiiyOPAQAgH8QigAAAEQoAgAAAWSl2daEIgAAEDBDF+TJWCQZEYoAAIBfxUZFqmuyQ5K0/ZBLp0vLA9yjswhFAADAr2w2m5aOTg90N6ogFAEAAL+z4uxqQhEAAIAIRQAAAJIIRQAAAJIIRQAAAJIIRQAAAJIIRZZkkTWsAAAIK4QiizHGaOiCvEB3AwCAsEMospjTpeXafsglSeqa7FBsVGSAewQAQOOyyggJocjClo5Ol82Kq1sBAOBDVrn/GaHIwshDAIBQZcX7nxGKAACA31nx/meEIouxwNVDAAD8wmojIoQiC2HmGQAAgUMoshBmngEAEDiEIoti5hkAAP5FKLIo8hAAAP5FKAIAAAFnhYlGhCIAABBwVljAkVAEAAACwmoLOBKKAABAQFhtAUdCEQAACBgrTSwiFAEAAIhQBAAAIIlQBAAAIIlQZClWWKMBAIBwRSiyCG4GCwBAYBGKLIKbwQIAEFiEIgviZrAAAPgfociCyEMAAPgfoQgAAECEIgAAYBGn3OUBvSlso4Wixx57TH379lVcXJyaN29ebZv9+/dryJAhiouLU+vWrTVx4kSVlZV5tfnggw/Uq1cvRUdH6/LLL9eiRYuq7Gf+/Pnq0KGDYmJilJaWps8++8zr9e+//15ZWVlq2bKlmjZtqltvvVXFxcW+OlQAAOADvWe/G9CbwjZaKHK73Ro6dKjGjBlT7evl5eUaMmSI3G631q5dq8WLF2vRokWaMWOGp82ePXs0ZMgQDRw4UJs3b9a4ceN03333afXq1Z42S5YsUXZ2tnJycrRx40b16NFDTqdThw8f9rQZP368/vnPf2rp0qX68MMPVVhYqF/+8peNdegAAKCOYqMi1bt9QqC7cZZpZAsXLjTx8fFVtq9cudJERESYoqIiz7YXXnjBOBwOc+bMGWOMMZMmTTJXX3211/tuu+0243Q6Pc/79OljsrKyPM/Ly8tN27ZtzZw5c4wxxhw/ftxERUWZpUuXetrs2LHDSDJ5eXl1Po6SkhIjyZSUlNT5PfVx8kypaT95uWk/ebk5eaa0Ub4GAABWVFFRYT77+ltz8kypqaio8Om+6/P5HbCaory8PHXv3l1t2rTxbHM6nXK5XNq2bZunTUZGhtf7nE6n8vLOLnLodruVn5/v1SYiIkIZGRmeNvn5+SotLfVq06VLF7Vr187TpjpnzpyRy+XyegAAAN+z2WyKiYpUnL1JQJekCVgoKioq8gpEkjzPi4qKam3jcrl0+vRpHT16VOXl5dW2OXcfdru9Sl3TuW2qM2fOHMXHx3seKSkpDTpOAABwYd0vjQ90F+oXiqZMmSKbzVbro6CgoLH66ldTp05VSUmJ53HgwIFAdwkAADSiJvVpPGHCBA0fPrzWNp06darTvpKSkqrMEqucEZaUlOT57/mzxIqLi+VwOBQbG6vIyEhFRkZW2+bcfbjdbh0/ftzratG5baoTHR2t6OjoOh0LAAAIfvW6UpSYmKguXbrU+rDb7XXaV3p6ur744guvWWK5ublyOBzq2rWrp82aNWu83pebm6v09HRJkt1uV2pqqlebiooKrVmzxtMmNTVVUVFRXm127typ/fv3e9oAAADU60pRfezfv1/fffed9u/fr/Lycm3evFmSdPnll6tp06YaNGiQunbtqrvvvltz585VUVGRpk+frqysLM8VmtGjR+u5557TpEmTdO+99+q9997TG2+8oRUrVni+TnZ2toYNG6bevXurT58+evrpp3Xy5EmNGDFCkhQfH6+RI0cqOztbLVq0kMPh0IMPPqj09HT9+Mc/bqzDBwAAwcan897OMWzYMCOpyuP999/3tNm7d68ZPHiwiY2NNa1atTITJkwwpaXe09Hff/9907NnT2O3202nTp3MwoULq3ytZ5991rRr187Y7XbTp08f8+mnn3q9fvr0afPrX//aJCQkmLi4OPOLX/zCHDp0qF7Hw5R8AACCT30+v23GBHA97SDicrkUHx+vkpISORwOn+//lLtMXWecXZRy+yyn4uyNdhEPAICwUZ/Pb+59BgAAIEIRAACAJEKRZTCICQBAYBGKLMAYo6ELar7lCAAAaHyEIgs4XVqu7YfO3luta7JDsVGRAe4RAADhh1BkMUtHpwf0ZngAAIQrQpHFkIcAAAgMQhEAAIAIRQAAAJIIRQAAAJIIRQAAAJIIRZbAwo0AAAQeoSjAWLgRAABrIBQFGAs3AgBgDYQiC2HhRgAAAodQZCHkIQAAAodQBAAAIEIRAACAJEIRAACAJEIRAACAJEIRAACAJEIRAACAJKlJoDsQ7mKjIrV9ltPz/wAAIDAIRQFms9kUZ+c0AAAQaAyfAQAAiFAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgiVAEAAAgSWoS6A4EC2OMJMnlcgW4JwAAoK4qP7crP8drQyiqoxMnTkiSUlJSAtwTAABQXydOnFB8fHytbWymLtEJqqioUGFhoZo1ayabzebTfbtcLqWkpOjAgQNyOBw+3bcVhPrxSRxjKAj145M4xlAQ6scn+f4YjTE6ceKE2rZtq4iI2quGuFJURxEREbr00ksb9Ws4HI6Q/Ucuhf7xSRxjKAj145M4xlAQ6scn+fYYL3SFqBKF1gAAACIUAQAASCIUWUJ0dLRycnIUHR0d6K40ilA/PoljDAWhfnwSxxgKQv34pMAeI4XWAAAA4koRAACAJEIRAACAJEIRAACAJEIRAACAJEKRXzz22GPq27ev4uLi1Lx582rb7N+/X0OGDFFcXJxat26tiRMnqqysrNb9fvfdd7rrrrvkcDjUvHlzjRw5Uv/+978b4Qjq54MPPpDNZqv2sX79+hrfd8MNN1RpP3r0aD/2vH46dOhQpb9/+MMfan3P999/r6ysLLVs2VJNmzbVrbfequLiYj/1uO727t2rkSNHqmPHjoqNjdVll12mnJwcud3uWt9n9XM4f/58dejQQTExMUpLS9Nnn31Wa/ulS5eqS5cuiomJUffu3bVy5Uo/9bT+5syZo+uuu07NmjVT69atlZmZqZ07d9b6nkWLFlU5XzExMX7qcf3NnDmzSn+7dOlS63uC6RxW9zvFZrMpKyur2vbBcP4++ugj/fznP1fbtm1ls9m0bNkyr9eNMZoxY4aSk5MVGxurjIwMffXVVxfcb31/luuKUOQHbrdbQ4cO1ZgxY6p9vby8XEOGDJHb7dbatWu1ePFiLVq0SDNmzKh1v3fddZe2bdum3NxcLV++XB999JFGjRrVGIdQL3379tWhQ4e8Hvfdd586duyo3r171/re+++/3+t9c+fO9VOvG2bWrFle/X3wwQdrbT9+/Hj985//1NKlS/Xhhx+qsLBQv/zlL/3U27orKChQRUWFXnzxRW3btk1PPfWUFixYoIcffviC77XqOVyyZImys7OVk5OjjRs3qkePHnI6nTp8+HC17deuXas77rhDI0eO1KZNm5SZmanMzExt3brVzz2vmw8//FBZWVn69NNPlZubq9LSUg0aNEgnT56s9X0Oh8PrfO3bt89PPW6Yq6++2qu/H3/8cY1tg+0crl+/3uvYcnNzJUlDhw6t8T1WP38nT55Ujx49NH/+/Gpfnzt3rp555hktWLBA69at0yWXXCKn06nvv/++xn3W92e5Xgz8ZuHChSY+Pr7K9pUrV5qIiAhTVFTk2fbCCy8Yh8Nhzpw5U+2+tm/fbiSZ9evXe7a9/fbbxmazmYMHD/q87xfD7XabxMREM2vWrFrbXX/99eahhx7yT6d8oH379uapp56qc/vjx4+bqKgos3TpUs+2HTt2GEkmLy+vEXroW3PnzjUdO3astY2Vz2GfPn1MVlaW53l5eblp27atmTNnTrXtf/WrX5khQ4Z4bUtLSzMPPPBAo/bTVw4fPmwkmQ8//LDGNjX9TrKqnJwc06NHjzq3D/Zz+NBDD5nLLrvMVFRUVPt6sJ0/Seb//u//PM8rKipMUlKSefzxxz3bjh8/bqKjo83f/va3GvdT35/l+uBKkQXk5eWpe/fuatOmjWeb0+mUy+XStm3banxP8+bNva68ZGRkKCIiQuvWrWv0PtfHW2+9pW+//VYjRoy4YNu//OUvatWqlbp166apU6fq1KlTfuhhw/3hD39Qy5Ytde211+rxxx+vdcgzPz9fpaWlysjI8Gzr0qWL2rVrp7y8PH9096KUlJSoRYsWF2xnxXPodruVn5/v9b2PiIhQRkZGjd/7vLw8r/bS2Z/LYDhX0tnzJemC5+zf//632rdvr5SUFN1yyy01/s6xiq+++kpt27ZVp06ddNddd2n//v01tg3mc+h2u/X666/r3nvvrfUm5MF2/s61Z88eFRUVeZ2j+Ph4paWl1XiOGvKzXB/cENYCioqKvAKRJM/zoqKiGt/TunVrr21NmjRRixYtanxPoPz5z3+W0+m84A1177zzTrVv315t27bV559/rsmTJ2vnzp363//9Xz/1tH5+85vfqFevXmrRooXWrl2rqVOn6tChQ3ryySerbV9UVCS73V6lrqxNmzaWO2fn27Vrl5599lk98cQTtbaz6jk8evSoysvLq/05KygoqPY9Nf1cWv1cSVJFRYXGjRunn/zkJ+rWrVuN7Tp37qxXXnlF11xzjUpKSvTEE0+ob9++2rZtW6PfALsh0tLStGjRInXu3FmHDh3So48+qv79+2vr1q1q1qxZlfbBfA6XLVum48ePa/jw4TW2Cbbzd77K81Cfc9SQn+X6IBQ10JQpU/Tf//3ftbbZsWPHBYsAg0lDjvmbb77R6tWr9cYbb1xw/+fWQ3Xv3l3Jycm68cYbtXv3bl122WUN73g91OcYs7OzPduuueYa2e12PfDAA5ozZ45ll+BvyDk8ePCgbrrpJg0dOlT3339/re+1wjmElJWVpa1bt9ZabyNJ6enpSk9P9zzv27evrrrqKr344ov63e9+19jdrLfBgwd7/v+aa65RWlqa2rdvrzfeeEMjR44MYM98789//rMGDx6stm3b1tgm2M5fMCAUNdCECRNqTfCS1KlTpzrtKykpqUrlfOWMpKSkpBrfc35RWVlZmb777rsa33OxGnLMCxcuVMuWLfWf//mf9f56aWlpks5epfDXB+rFnNe0tDSVlZVp79696ty5c5XXk5KS5Ha7dfz4ca+rRcXFxY12zs5X3+MrLCzUwIED1bdvX7300kv1/nqBOIfVadWqlSIjI6vM9Kvte5+UlFSv9lYxduxYz8SL+l4tiIqK0rXXXqtdu3Y1Uu98q3nz5rryyitr7G+wnsN9+/bp3XffrfcV1mA7f5Xnobi4WMnJyZ7txcXF6tmzZ7XvacjPcr1cdFUS6uxChdbFxcWebS+++KJxOBzm+++/r3ZflYXWGzZs8GxbvXq1pQqtKyoqTMeOHc2ECRMa9P6PP/7YSDJbtmzxcc8ax+uvv24iIiLMd999V+3rlYXWf//73z3bCgoKLFto/c0335grrrjC3H777aasrKxB+7DSOezTp48ZO3as53l5ebn50Y9+VGuh9c033+y1LT093bJFuhUVFSYrK8u0bdvWfPnllw3aR1lZmencubMZP368j3vXOE6cOGESEhLMvHnzqn092M5hpZycHJOUlGRKS0vr9T6rnz/VUGj9xBNPeLaVlJTUqdC6Pj/L9erjRe8BF7Rv3z6zadMm8+ijj5qmTZuaTZs2mU2bNpkTJ04YY87+Q+7WrZsZNGiQ2bx5s1m1apVJTEw0U6dO9exj3bp1pnPnzuabb77xbLvpppvMtddea9atW2c+/vhjc8UVV5g77rjD78dXk3fffddIMjt27Kjy2jfffGM6d+5s1q1bZ4wxZteuXWbWrFlmw4YNZs+ePebNN980nTp1MgMGDPB3t+tk7dq15qmnnjKbN282u3fvNq+//rpJTEw099xzj6fN+cdojDGjR4827dq1M++9957ZsGGDSU9PN+np6YE4hFp988035vLLLzc33nij+eabb8yhQ4c8j3PbBNM5/J//+R8THR1tFi1aZLZv325GjRplmjdv7pn1effdd5spU6Z42n/yySemSZMm5oknnjA7duwwOTk5JioqynzxxReBOoRajRkzxsTHx5sPPvjA63ydOnXK0+b8Y3z00UfN6tWrze7du01+fr65/fbbTUxMjNm2bVsgDuGCJkyYYD744AOzZ88e88knn5iMjAzTqlUrc/jwYWNM8J9DY85+wLdr185Mnjy5ymvBeP5OnDjh+cyTZJ588kmzadMms2/fPmOMMX/4wx9M8+bNzZtvvmk+//xzc8stt5iOHTua06dPe/bx05/+1Dz77LOe5xf6Wb4YhCI/GDZsmJFU5fH+++972uzdu9cMHjzYxMbGmlatWpkJEyZ4/ZXw/vvvG0lmz549nm3ffvutueOOO0zTpk2Nw+EwI0aM8AQtK7jjjjtM3759q31tz549Xt+D/fv3mwEDBpgWLVqY6Ohoc/nll5uJEyeakpISP/a47vLz801aWpqJj483MTEx5qqrrjK///3vva7snX+Mxhhz+vRp8+tf/9okJCSYuLg484tf/MIraFjFwoULq/03e+7F5WA8h88++6xp166dsdvtpk+fPubTTz/1vHb99debYcOGebV/4403zJVXXmnsdru5+uqrzYoVK/zc47qr6XwtXLjQ0+b8Yxw3bpzn+9GmTRvzs5/9zGzcuNH/na+j2267zSQnJxu73W5+9KMfmdtuu83s2rXL83qwn0Njzl7xl2R27txZ5bVgPH+Vn13nPyqPo6KiwjzyyCOmTZs2Jjo62tx4441Vjr19+/YmJyfHa1ttP8sXw2aMMRc/CAcAABDcWKcIAABAhCIAAABJhCIAAABJhCIAAABJhCIAAABJhCIAAABJhCIAAABJhCIAAABJhCIAAABJhCIAAABJhCIAYezIkSNKSkrS73//e8+2tWvXym63a82aNQHsGYBA4N5nAMLaypUrlZmZqbVr16pz587q2bOnbrnlFj355JOB7hoAPyMUAQh7WVlZevfdd9W7d2998cUXWr9+vaKjowPdLQB+RigCEPZOnz6tbt266cCBA8rPz1f37t0D3SUAAUBNEYCwt3v3bhUWFqqiokJ79+4NdHcABAhXigCENbfbrT59+qhnz57q3Lmznn76aX3xxRdq3bp1oLsGwM8IRQDC2sSJE/X3v/9dW7ZsUdOmTXX99dcrPj5ey5cvD3TXAPgZw2cAwtYHH3ygp59+Wq+99pocDociIiL02muv6V//+pdeeOGFQHcPgJ9xpQgAAEBcKQIAAJBEKAIAAJBEKAIAAJBEKAIAAJBEKAIAAJBEKAIAAJBEKAIAAJBEKAIAAJBEKAIAAJBEKAIAAJBEKAIAAJBEKAIAAJAk/T99cfgMGmqwTQAAAABJRU5ErkJggg==", + "image/png": "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", "text/plain": [ "
" ] @@ -4037,13 +3397,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-10.0, -9.98)\": -10906.4, \"(-9.98, -9.97)\": -10783.2, \"(-9.97, -9.95)\": -10642.3, \"(-9.95, -9.92)\": -10362.8, \"(-9.92, -9.88)\": -9907.9, \"(-9.88, -9.86)\": -9712.8, \"(-9.86, -9.85)\": -9540.4, \"(-9.85, -9.84)\": -9427.7, \"(-9.84, -9.82)\": -9291.0, \"(-9.82, -9.78)\": -9085.6, \"(-9.78, -9.75)\": -8679.0, \"(-9.75, -9.73)\": -8563.9, \"(-9.73, -9.7)\": -8288.6, \"(-9.7, -9.68)\": -8157.7, \"(-9.68, -9.66)\": -7952.6, \"(-9.66, -9.64)\": -7829.1, \"(-9.64, -9.62)\": -7622.8, \"(-9.62, -9.59)\": -7393.1, \"(-9.59, -9.56)\": -7215.7, \"(-9.56, -9.53)\": -7017.9, \"(-9.53, -9.5)\": -6817.7, \"(-9.5, -9.47)\": -6549.1, \"(-9.47, -9.45)\": -6435.4, \"(-9.45, -9.43)\": -6324.2, \"(-9.43, -9.4)\": -6154.0, \"(-9.4, -9.37)\": -6026.0, \"(-9.37, -9.34)\": -5780.8, \"(-9.34, -9.32)\": -5606.5, \"(-9.32, -9.26)\": -5449.5, \"(-9.26, -9.2)\": -5077.2, \"(-9.2, -9.18)\": -4929.0, \"(-9.18, -9.16)\": -4808.3, \"(-9.16, -9.11)\": -4664.5, \"(-9.11, -9.08)\": -4512.7, \"(-9.08, -9.05)\": -4362.5, \"(-9.05, -9.02)\": -4245.6, \"(-9.02, -8.97)\": -4079.6, \"(-8.97, -8.91)\": -3841.0, \"(-8.91, -8.89)\": -3699.5, \"(-8.89, -8.84)\": -3557.0, \"(-8.84, -8.8)\": -3436.0, \"(-8.8, -8.77)\": -3304.3, \"(-8.77, -8.72)\": -3173.7, \"(-8.72, -8.68)\": -3008.7, \"(-8.68, -8.6)\": -2881.3, \"(-8.6, -8.52)\": -2650.8, \"(-8.52, -8.42)\": -2416.1, \"(-8.42, -8.31)\": -2183.5, \"(-8.31, -8.23)\": -1962.0, \"(-8.23, -8.14)\": -1845.2, \"(-8.14, -8.07)\": -1716.4, \"(-8.07, -7.98)\": -1586.0, \"(-7.98, -7.88)\": -1437.9, \"(-7.88, -7.8)\": -1317.5, \"(-7.8, -7.69)\": -1196.3, \"(-7.69, -7.56)\": -1071.9, \"(-7.56, -7.43)\": -944.0, \"(-7.43, -7.26)\": -830.6, \"(-7.26, -7.02)\": -677.6, \"(-7.02, -6.8)\": -563.2, \"(-6.8, -6.51)\": -448.2, \"(-6.51, -6.1)\": -336.9, \"(-6.1, -5.5)\": -226.7, \"(-5.5, -2.68)\": -116.0, \"(-2.68, 5.44)\": -6.4, \"(5.44, 6.12)\": -116.7, \"(6.12, 6.52)\": -232.7, \"(6.52, 6.81)\": -342.1, \"(6.81, 7.02)\": -453.1, \"(7.02, 7.22)\": -575.8, \"(7.22, 7.35)\": -687.1, \"(7.35, 7.5)\": -799.0, \"(7.5, 7.62)\": -912.6, \"(7.62, 7.73)\": -1026.6, \"(7.73, 7.81)\": -1141.0, \"(7.81, 7.9)\": -1252.1, \"(7.9, 8.0)\": -1371.8, \"(8.0, 8.09)\": -1503.4, \"(8.09, 8.16)\": -1638.8, \"(8.16, 8.24)\": -1763.0, \"(8.24, 8.3)\": -1906.6, \"(8.3, 8.35)\": -2019.0, \"(8.35, 8.42)\": -2144.3, \"(8.42, 8.49)\": -2315.8, \"(8.49, 8.56)\": -2492.5, \"(8.56, 8.61)\": -2603.7, \"(8.61, 8.68)\": -2787.0, \"(8.68, 8.74)\": -3022.9, \"(8.74, 8.78)\": -3180.3, \"(8.78, 8.83)\": -3349.1, \"(8.83, 8.87)\": -3475.5, \"(8.87, 8.91)\": -3608.4, \"(8.91, 8.98)\": -3779.1, \"(8.98, 9.05)\": -4070.1, \"(9.05, 9.09)\": -4337.6, \"(9.09, 9.11)\": -4452.7, \"(9.11, 9.14)\": -4570.0, \"(9.14, 9.16)\": -4698.8, \"(9.16, 9.2)\": -4833.2, \"(9.2, 9.23)\": -4996.9, \"(9.23, 9.26)\": -5109.8, \"(9.26, 9.27)\": -5267.8, \"(9.27, 9.35)\": -5383.8, \"(9.35, 9.44)\": -6194.5, \"(9.44, 9.46)\": -6328.7, \"(9.46, 9.48)\": -6473.0, \"(9.48, 9.51)\": -6611.3, \"(9.51, 9.54)\": -6869.6, \"(9.54, 9.56)\": -7035.0, \"(9.56, 9.59)\": -7148.6, \"(9.59, 9.6)\": -7312.6, \"(9.6, 9.62)\": -7425.6, \"(9.62, 9.65)\": -7685.2, \"(9.65, 9.69)\": -7804.7, \"(9.69, 9.73)\": -8271.5, \"(9.73, 9.76)\": -8465.3, \"(9.76, 9.78)\": -8773.1, \"(9.78, 9.8)\": -8890.8, \"(9.8, 9.83)\": -9152.5, \"(9.83, 9.87)\": -9433.3, \"(9.87, 9.9)\": -9902.0}\n", + "Means: {\"(-9.96, -9.89)\": 3.433, \"(-9.89, -9.83)\": 3.497, \"(-9.83, -9.73)\": 3.571, \"(-9.73, -8.89)\": 3.642, \"(-8.89, -8.74)\": 3.719, \"(-8.74, -8.29)\": 3.829, \"(-8.29, -8.21)\": 3.767, \"(-8.21, -8.13)\": 3.699, \"(-8.13, -8.04)\": 3.629, \"(-8.04, -7.94)\": 3.562, \"(-7.94, -7.05)\": 3.496, \"(-7.05, -6.94)\": 3.413, \"(-6.94, -6.86)\": 3.298, \"(-6.86, -6.76)\": 3.227, \"(-6.76, -6.66)\": 3.161, \"(-6.66, -5.82)\": 3.094, \"(-5.82, -5.75)\": 3.024, \"(-5.75, -5.67)\": 2.946, \"(-5.67, -5.56)\": 2.874, \"(-5.56, -5.43)\": 2.767, \"(-5.43, -4.59)\": 2.686, \"(-4.59, -4.49)\": 2.618, \"(-4.49, -4.42)\": 2.546, \"(-4.42, -4.38)\": 2.483, \"(-4.38, -4.29)\": 2.42, \"(-4.29, -4.2)\": 2.356, \"(-4.2, -4.02)\": 2.288, \"(-4.02, -3.63)\": 2.225, \"(-3.63, -3.36)\": 2.293, \"(-3.36, -3.25)\": 2.225, \"(-3.25, -3.16)\": 2.126, \"(-3.16, -3.08)\": 2.056, \"(-3.08, -3.02)\": 1.985, \"(-3.02, -2.9)\": 1.914, \"(-2.9, -2.06)\": 1.839, \"(-2.06, -1.98)\": 1.774, \"(-1.98, -1.91)\": 1.71, \"(-1.91, -1.82)\": 1.634, \"(-1.82, -1.74)\": 1.549, \"(-1.74, -1.59)\": 1.485, \"(-1.59, -0.77)\": 1.401, \"(-0.77, -0.7)\": 1.331, \"(-0.7, -0.62)\": 1.26, \"(-0.62, -0.57)\": 1.198, \"(-0.57, -0.46)\": 1.124, \"(-0.46, -0.25)\": 1.032, \"(-0.25, 0.12)\": 0.968, \"(0.12, 0.42)\": 1.031, \"(0.42, 0.5)\": 0.962, \"(0.5, 0.61)\": 0.88, \"(0.61, 0.68)\": 0.802, \"(0.68, 0.76)\": 0.738, \"(0.76, 0.87)\": 0.657, \"(0.87, 1.69)\": 0.591, \"(1.69, 1.78)\": 0.528, \"(1.78, 1.86)\": 0.453, \"(1.86, 1.98)\": 0.344, \"(1.98, 2.08)\": 0.278, \"(2.08, 2.93)\": 0.19, \"(2.93, 3.02)\": 0.12, \"(3.02, 3.1)\": 0.052, \"(3.1, 3.17)\": -0.03, \"(3.17, 3.25)\": -0.098, \"(3.25, 3.37)\": -0.178, \"(3.37, 4.23)\": -0.245, \"(4.23, 4.31)\": -0.325, \"(4.31, 4.37)\": -0.391, \"(4.37, 4.48)\": -0.476, \"(4.48, 4.57)\": -0.562, \"(4.57, 4.74)\": -0.624, \"(4.74, 5.53)\": -0.7, \"(5.53, 5.61)\": -0.78, \"(5.61, 5.66)\": -0.846, \"(5.66, 5.77)\": -0.92, \"(5.77, 5.87)\": -1.014, \"(5.87, 6.72)\": -1.078, \"(6.72, 6.82)\": -1.148, \"(6.82, 6.92)\": -1.227, \"(6.92, 7.01)\": -1.336, \"(7.01, 7.12)\": -1.404, \"(7.12, 7.98)\": -1.498, \"(7.98, 8.06)\": -1.563, \"(8.06, 8.13)\": -1.626, \"(8.13, 8.19)\": -1.692, \"(8.19, 8.29)\": -1.772, \"(8.29, 8.38)\": -1.835, \"(8.38, 9.24)\": -1.916, \"(9.24, 9.32)\": -1.984, \"(9.32, 9.39)\": -2.047, \"(9.39, 9.45)\": -2.118, \"(9.45, 9.56)\": -2.21, \"(9.56, 9.66)\": -2.276, \"(9.66, 9.99)\": -2.345}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4053,7 +3413,7 @@ }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjgAAAHHCAYAAACyWSKnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA8uElEQVR4nO3deXhU1cHH8V8SyISgWZCQIRp2C6SsBYmhKip5SZS20FoFSstShIqgQnAhrRIWFVmKiOUxatnciuLrhvoGMYq8SgwQxAUjr1AWESZsJgMBk5Cc94+WKUMWkpDJzNz5fp5nHplzz71zDtcwv5x77rlBxhgjAAAACwn2dgMAAAAaGgEHAABYDgEHAABYDgEHAABYDgEHAABYDgEHAABYDgEHAABYDgEHAABYDgEHAABYDgEHgCWsXLlSQUFB2rp1a63qV1RUqFu3bnrkkUfq/FnTp09XYmJinfcD0HgIOAA8atOmTZo5c6YKCwu93RQ3//jHP/Tdd99p8uTJdd53ypQp+vzzz/XWW295oGUAGgIBB4BHbdq0SbNmzfK5gLNgwQINHz5ckZGRdd7XbrdryJAhWrhwoQdaBqAhEHAABJzPPvtMn3/+uW677bZ6H+O2227Txx9/rH/+858N2DIADYWAA8BjZs6cqfvuu0+S1L59ewUFBSkoKEh79+7VihUrdOONN6pVq1ay2WxKSEjQU089VekY7dq10y9+8Qt9/PHH6tevn8LCwtShQwc999xzVX5mSUmJ0tLSFBMTo+bNm+vXv/61jhw54lbnjTfeUGhoqK677jpX2enTp9WlSxd16dJFp0+fdpUfP35crVu3Vv/+/VVeXu4qT05OliS9+eab9f8LAuAxBBwAHvOb3/xGI0aMkCQ9/vjjev755/X8888rJiZGTz31lNq2bas///nP+utf/6r4+HjdeeedWrp0aaXj7Nq1S7/97W/1X//1X/rrX/+q6OhojRkzRjt27KhU96677tLnn3+ujIwMTZw4UWvXrq00z2bTpk3q1q2bmjZt6ipr1qyZVq1apV27dukvf/mLq3zSpEkqKirSypUrFRIS4iqPjIxUx44d9cknn1z03xMADzAA4EELFiwwksyePXvcyk+dOlWpbkpKiunQoYNbWdu2bY0ks3HjRlfZ4cOHjc1mM9OmTXOVrVixwkgyycnJpqKiwlU+depUExISYgoLC11lV1xxhbnllluqbG96eroJDg42GzduNGvWrDGSzOLFi6usO2jQINO1a9fqOw/AaxjBAeAVzZo1c/25qKhIR48e1YABA/TPf/5TRUVFbnUTEhJ07bXXut7HxMSoc+fOVc5/mTBhgoKCglzvr732WpWXl2vfvn2usmPHjik6OrrKds2cOVM//elPNXr0aN15550aMGCA7r777irrRkdH6+jRo7XrMIBG1cTbDQAQmD755BNlZGQoJydHp06dcttWVFTkdndTmzZtKu0fHR2tH374oVL5+XXPBpnz6xpjqmxXaGioli9frquuukphYWFasWKFW2A6/xjVbQPgXYzgAGh0u3fv1sCBA3X06FEtWrRI77zzjtavX6+pU6dK+tcifOc6d+7LuaoKKbWpe9lll1UZjs5at26dJOnHH3/Ut99+W229H374QS1btqx2OwDvYQQHgEdVNcKxdu1alZSU6K233nIbcfnwww8bpU1dunTRnj17qtz2xRdfaPbs2Ro7dqy2b9+u22+/XV9++WWV6+Xs2bNHPXv29HRzAdQDIzgAPKp58+aS5LbQ39lRlnNHVYqKirRixYpGaVNSUpK++uorlZSUuJWXlZVpzJgxiouL0xNPPKGVK1eqoKDANbJ0rqKiIu3evVv9+/dvlDYDqBsCDgCP6tOnjyTpL3/5i55//nmtXr1a1113nUJDQ/XLX/5SS5cu1bx589SnTx+1atWqUdo0ZMgQlZWV6aOPPnIrf/jhh7V9+3YtX75cl156qXr06KEZM2ZoxYoVevfdd93qvv/++zLGaMiQIY3SZgB1Q8AB4FFXXXWV5syZo88//1xjxozRiBEjFBkZqVdffVVBQUG69957lZmZqQkTJuiee+5plDb16dNHPXr00CuvvOIq27Ztmx599FFNnjxZN9xwg6t8+vTpuuqqqzR+/Hi3Uag1a9bommuuUceOHRulzQDqJshUdysBAFjY888/r0mTJmn//v2Kioqq074Oh0Pt27fX6tWrGcEBfBQjOAAC0siRI9WmTZsqV06+kMWLF6t79+6EG8CHMYIDAAAshxEcAABgOQQcAABgOQQcAABgOQQcAABgOQH5qIaKigodPHhQl156KQ/KAwDATxhjdOLECcXFxSk4uOYxmoAMOAcPHlR8fLy3mwEAAOrhu+++0xVXXFFjnYAMOJdeeqmkf/0FRUREeLk1AACgNpxOp+Lj413f4zUJyIBz9rJUREQEAQcAAD9Tm+klTDIGAACWQ8ABAACWQ8ABAACWQ8ABAACWQ8ABAACWQ8ABAACWQ8ABAACWQ8ABAACW49GAs3HjRv3yl79UXFycgoKC9MYbb1xwnw0bNuhnP/uZbDabOnXqpJUrV1aqs3TpUrVr105hYWFKTEzU5s2bG77xAADAb3k04BQXF6tnz55aunRprerv2bNHgwcP1g033KDt27drypQpuv3227Vu3TpXnZdffllpaWnKyMjQtm3b1LNnT6WkpOjw4cOe6gYAAPAzQcYY0ygfFBSk119/XUOHDq22zgMPPKB33nlHX331lats+PDhKiwsVFZWliQpMTFRV111lf72t79J+teTwePj43XXXXdp+vTptWqL0+lUZGSkioqKeFQDAAB+oi7f3z41BycnJ0fJycluZSkpKcrJyZEklZaWKi8vz61OcHCwkpOTXXWqUlJSIqfT6fYCAADW5VMBx+FwKDY21q0sNjZWTqdTp0+f1tGjR1VeXl5lHYfDUe1x586dq8jISNcrPj7eI+0HAAC+ISCeJp6enq60tDTX+7OPWwcAf2CM0emycm83A6izZk1DavXkb0/wqYBjt9tVUFDgVlZQUKCIiAg1a9ZMISEhCgkJqbKO3W6v9rg2m002m80jbQYATzLG6LeZOcrb94O3mwLU2dezUxQe6p2o4VOXqJKSkpSdne1Wtn79eiUlJUmSQkND1adPH7c6FRUVys7OdtUBACs5XVZOuAHqwaOx6uTJk9q1a5fr/Z49e7R9+3a1aNFCbdq0UXp6ur7//ns999xzkqQ77rhDf/vb33T//ffrj3/8oz744AO98soreuedd1zHSEtL0+jRo9W3b1/169dPixcvVnFxscaOHevJrgBAg6vNpadTpf/ZvvXBZIWHhni6WUCDadbUe/+/ejTgbN26VTfccIPr/dl5MKNHj9bKlSt16NAh7d+/37W9ffv2eueddzR16lQ98cQTuuKKK/T3v/9dKSkprjrDhg3TkSNHNGPGDDkcDvXq1UtZWVmVJh4DgC+rz6Wn8NAQrw33A/6m0dbB8SWsgwPA206VnlHCjHUXrvhvfdtGa80dSV6bsAn4grp8f/OrAAB4WW0uPXnzbhTAHxFwAKCRnDvn5ty5NVx6AhoeP1EA0Ai43RtoXD51mzgAWFV1t3v3bRvt1TtNAKtiBAcAGtm5c26YWwN4BgEHADyEOTeA9/ATBgAewJwbwLuYgwMAHsCcG8C7GMEBgAZ09rJUdY9YYM4N0DgIOADQQKq7LMWcG6DxcYkKABpIVZeluCQFeAe/UgCAB5y9LMUlKcA7CDgA0ACMMdwKDvgQfvoA4CJxSzjge5iDAwAX6fy5N8y7AbyPERwAaEBbH0zWZc1DmXcDeBkjOABwEaqae0O4AbyPERwAqCfm3gC+ixEcAKgn5t4AvosRHABoAMy9AXwLIzgAUA/MvQF8GyM4AFBHzL0BfB8jOABQR8y9AXwfIzgAcBGYewP4JkZwAKCOjPnPn5l7A/gmAg4A1IExRrdm5ni7GQAugIADAHVwuqxcXx9ySpISWkcw9wbwUQQcAKiDcy9PrbkjictTgI8i4ABALZ1/eYpsA/guAg4A1BKXpwD/QcABgHrg8hTg2xol4CxdulTt2rVTWFiYEhMTtXnz5mrrXn/99QoKCqr0Gjx4sKvOmDFjKm1PTU1tjK4ACFDnP5qBbAP4No8v9Pfyyy8rLS1NmZmZSkxM1OLFi5WSkqKdO3eqVatWleq/9tprKi0tdb0/duyYevbsqVtvvdWtXmpqqlasWOF6b7PZPNcJAAGNRzMA/sfjIziLFi3S+PHjNXbsWCUkJCgzM1Ph4eFavnx5lfVbtGghu93ueq1fv17h4eGVAo7NZnOrFx0d7emuAAhQPJoB8D8eDTilpaXKy8tTcnLyfz4wOFjJycnKyandQlnLli3T8OHD1bx5c7fyDRs2qFWrVurcubMmTpyoY8eOVXuMkpISOZ1OtxcA1MfWB5OZfwP4AY8GnKNHj6q8vFyxsbFu5bGxsXI4HBfcf/Pmzfrqq690++23u5WnpqbqueeeU3Z2tubNm6ePPvpIN910k8rLy6s8zty5cxUZGel6xcfH179TAAIOj2YA/I9PP2xz2bJl6t69u/r16+dWPnz4cNefu3fvrh49eqhjx47asGGDBg4cWOk46enpSktLc713Op2EHAC1wqMZAP/k0RGcli1bKiQkRAUFBW7lBQUFstvtNe5bXFys1atXa9y4cRf8nA4dOqhly5batWtXldttNpsiIiLcXgBQG6x9A/gnjwac0NBQ9enTR9nZ2a6yiooKZWdnKykpqcZ916xZo5KSEv3+97+/4OccOHBAx44dU+vWrS+6zQBQHebeAP7D43dRpaWl6dlnn9WqVauUn5+viRMnqri4WGPHjpUkjRo1Sunp6ZX2W7ZsmYYOHarLLrvMrfzkyZO677779Omnn2rv3r3Kzs7WkCFD1KlTJ6WkpHi6OwACGNkG8B8en4MzbNgwHTlyRDNmzJDD4VCvXr2UlZXlmni8f/9+BQe756ydO3fq448/1nvvvVfpeCEhIfriiy+0atUqFRYWKi4uToMGDdKcOXNYCwcAAEiSgow59/6AwOB0OhUZGamioiLm4wCo0anSM0qYsU6S9PXsFIWH+vS9GYCl1eX7m2dRAQAAyyHgAEA1zn/+FAD/wVgrAFSB508B/o0RHACoAs+fAvwbIzgAUIVzb7/Y+mCyLmseyho4gB9hBAcAznP+4xl4/hTgfwg4AHAeHs8A+D8CDgDUgMczAP6JgAMANSDbAP6JgAMAACyHgAMA52BxP8AauE0cAP6Nxf0A62AEBwD+jcX9AOtgBAcAqsDifoB/YwQHAKrA4n6AfyPgAMC/nft4BgD+jYADAKr8eAYA/o2AAwDi8QyA1RBwAOA8PJ4B8H8EHAA4D9kG8H8EHAAAYDkEHAAQd1ABVkPAARDwuIMKsB4CDoCAxx1UgPUQcADgHNxBBVgDAQdAwDt3/g3ZBrAGAg6AgMb8G8CaCDgAAhrzbwBrIuAAwL8x/wawDgIOAPwb2QawDgIOAACwnEYJOEuXLlW7du0UFhamxMREbd68udq6K1euVFBQkNsrLCzMrY4xRjNmzFDr1q3VrFkzJScn69tvv/V0NwAAgJ/weMB5+eWXlZaWpoyMDG3btk09e/ZUSkqKDh8+XO0+EREROnTokOu1b98+t+3z58/XkiVLlJmZqdzcXDVv3lwpKSn68ccfPd0dAADgBzwecBYtWqTx48dr7NixSkhIUGZmpsLDw7V8+fJq9wkKCpLdbne9YmNjXduMMVq8eLEefPBBDRkyRD169NBzzz2ngwcP6o033vB0dwAAgB/waMApLS1VXl6ekpOT//OBwcFKTk5WTk71606cPHlSbdu2VXx8vIYMGaIdO3a4tu3Zs0cOh8PtmJGRkUpMTKz2mCUlJXI6nW4vAJB4yCZgVR4NOEePHlV5ebnbCIwkxcbGyuFwVLlP586dtXz5cr355pt64YUXVFFRof79++vAgQOS5NqvLsecO3euIiMjXa/4+PiL7RoAC2CRP8C6fO4uqqSkJI0aNUq9evXSgAED9NprrykmJkZPP/10vY+Znp6uoqIi1+u7775rwBYD8Fcs8gdYl0cDTsuWLRUSEqKCggK38oKCAtnt9lodo2nTpurdu7d27dolSa796nJMm82miIgItxcAnItF/gBr8WjACQ0NVZ8+fZSdne0qq6ioUHZ2tpKSkmp1jPLycn355Zdq3bq1JKl9+/ay2+1ux3Q6ncrNza31MQHgfGQbwFqaePoD0tLSNHr0aPXt21f9+vXT4sWLVVxcrLFjx0qSRo0apcsvv1xz586VJM2ePVtXX321OnXqpMLCQi1YsED79u3T7bffLulfd1hNmTJFDz/8sK688kq1b99eDz30kOLi4jR06FBPdwcAAPgBjwecYcOG6ciRI5oxY4YcDod69eqlrKws1yTh/fv3Kzj4PwNJP/zwg8aPHy+Hw6Ho6Gj16dNHmzZtUkJCgqvO/fffr+LiYk2YMEGFhYW65pprlJWVVWlBQAAAEJiCjAm8mySdTqciIyNVVFTEfBwggBWXnNFPM9ZJkr6enaLwUI//zgfgItTl+9vn7qICgMbALeKAtRFwAAQkbhEHrI2AAyDgcYs4YD0EHAAB6dzZh2QbwHoIOAACDvNvAOsj4AAIOMy/AayPgAMgoDH/BrAmAg6AgMP8G8D6CDgAAgrzb4DAQMABEFCYfwMEBgIOgIDF/BvAugg4AAIW2QawLgIOgIASeI8XBgITAQdAwGCCMRA4CDgAAgYTjIHAQcABEJCYYAxYGwEHQEAi2wDWRsABAACWQ8ABEDC4gwoIHAQcAAGBO6iAwELAARAQuIMKCCwEHAABhzuoAOsj4AAIOGQbwPoIOAAAwHIIOAAAwHIIOAAAwHIIOAACAmvgAIGFgAPA8lgDBwg8BBwAlscaOEDgIeAACCisgQMEBgIOgIBCtgECQ6MEnKVLl6pdu3YKCwtTYmKiNm/eXG3dZ599Vtdee62io6MVHR2t5OTkSvXHjBmjoKAgt1dqaqqnuwEAAPyExwPOyy+/rLS0NGVkZGjbtm3q2bOnUlJSdPjw4Srrb9iwQSNGjNCHH36onJwcxcfHa9CgQfr+++/d6qWmpurQoUOu1z/+8Q9PdwUAAPgJjwecRYsWafz48Ro7dqwSEhKUmZmp8PBwLV++vMr6L774ou6880716tVLXbp00d///ndVVFQoOzvbrZ7NZpPdbne9oqOjPd0VAADgJzwacEpLS5WXl6fk5OT/fGBwsJKTk5WTU7tbNk+dOqWysjK1aNHCrXzDhg1q1aqVOnfurIkTJ+rYsWPVHqOkpEROp9PtBSBwsAYOEHg8GnCOHj2q8vJyxcbGupXHxsbK4XDU6hgPPPCA4uLi3EJSamqqnnvuOWVnZ2vevHn66KOPdNNNN6m8vLzKY8ydO1eRkZGuV3x8fP07BcCvsAYOEJiaeLsBNXnssce0evVqbdiwQWFhYa7y4cOHu/7cvXt39ejRQx07dtSGDRs0cODASsdJT09XWlqa673T6STkAAGCNXCAwOTREZyWLVsqJCREBQUFbuUFBQWy2+017rtw4UI99thjeu+999SjR48a63bo0EEtW7bUrl27qtxus9kUERHh9gIQeFgDBwgcHg04oaGh6tOnj9sE4bMThpOSkqrdb/78+ZozZ46ysrLUt2/fC37OgQMHdOzYMbVu3bpB2g3Amsg2QODw+F1UaWlpevbZZ7Vq1Srl5+dr4sSJKi4u1tixYyVJo0aNUnp6uqv+vHnz9NBDD2n58uVq166dHA6HHA6HTp48KUk6efKk7rvvPn366afau3evsrOzNWTIEHXq1EkpKSme7g4AAPADHp+DM2zYMB05ckQzZsyQw+FQr169lJWV5Zp4vH//fgUH/ydnPfXUUyotLdVvf/tbt+NkZGRo5syZCgkJ0RdffKFVq1apsLBQcXFxGjRokObMmSObzebp7gAAAD8QZEzg3UDpdDoVGRmpoqIi5uMAFneq9IwSZqyTJH09O0XhoT59bwWAGtTl+5tnUQGwtMD7FQ6ARMABYGGsgQMELgIOAMtiDRwgcBFwAAQE1sABAgsBB0BAINsAgYWAAwAALIeAA8CyuIMKCFwEHACWxB1UQGAj4ACwJO6gAgIbAQeA5XEHFRB4CDgALI9sAwQeAg4AALAcAg4AALAcAg4AALAcAg4AS2INHCCwEXAAWA5r4AAg4ACwHNbAAUDAAWBprIEDBCYCDgBLI9sAgYmAAwAALIeAAwAALIeAAwAALIeAA8ByWAMHAAEHgKWwBg4AiYADwGJYAweARMABYGGsgQMELgIOAMsi2wCBi4ADAAAsh4ADAAAsh4ADwFK4RRyARMABYCHcIg7grEYJOEuXLlW7du0UFhamxMREbd68ucb6a9asUZcuXRQWFqbu3bvr3XffddtujNGMGTPUunVrNWvWTMnJyfr222892QUAfoBbxAGc5fGA8/LLLystLU0ZGRnatm2bevbsqZSUFB0+fLjK+ps2bdKIESM0btw4ffbZZxo6dKiGDh2qr776ylVn/vz5WrJkiTIzM5Wbm6vmzZsrJSVFP/74o6e7A8BPcIs4ENiCjPHsFevExERdddVV+tvf/iZJqqioUHx8vO666y5Nnz69Uv1hw4apuLhYb7/9tqvs6quvVq9evZSZmSljjOLi4jRt2jTde++9kqSioiLFxsZq5cqVGj58+AXb5HQ6FRkZqaKiIkVERDRQTwF426nSM0qYsU6S9PXsFIWHNvFyiwA0pLp8f3t0BKe0tFR5eXlKTk7+zwcGBys5OVk5OVVfJ8/JyXGrL0kpKSmu+nv27JHD4XCrExkZqcTExGqPCQAAAotHf705evSoysvLFRsb61YeGxurb775psp9HA5HlfUdDodr+9my6uqcr6SkRCUlJa73Tqezbh0B4Be4gwrAWQFxF9XcuXMVGRnpesXHx3u7SQAaGHdQATiXRwNOy5YtFRISooKCArfygoIC2e32Kvex2+011j/737ocMz09XUVFRa7Xd999V6/+APBd3EEF4FweDTihoaHq06ePsrOzXWUVFRXKzs5WUlJSlfskJSW51Zek9evXu+q3b99edrvdrY7T6VRubm61x7TZbIqIiHB7AbAu7qAC4PFbDNLS0jR69Gj17dtX/fr10+LFi1VcXKyxY8dKkkaNGqXLL79cc+fOlSTdc889GjBggP76179q8ODBWr16tbZu3apnnnlGkhQUFKQpU6bo4Ycf1pVXXqn27dvroYceUlxcnIYOHerp7gDwA2QbAB4POMOGDdORI0c0Y8YMORwO9erVS1lZWa5Jwvv371dw8H8Gkvr376+XXnpJDz74oP785z/ryiuv1BtvvKFu3bq56tx///0qLi7WhAkTVFhYqGuuuUZZWVkKCwvzdHcAAIAf8Pg6OL6IdXAA62ENHMD6fGYdHAAAAG8g4AAAAMsh4AAAAMsh4ADwe8YYnSot93YzAPgQZuEB8GvGGP02M0d5+37wdlMA+BBGcAD4tdNl5W7hpm/baFYxBsAIDgDr2Ppgsi5rHsoqxgAYwQFgHeGhIYQbAJIIOAAAwIIIOAAAwHIIOAAAwHIIOAAAwHIIOAAAwHIIOAAAwHIIOAAAwHIIOAD8mjHebgEAX0TAAeC3jDG6NTPH280A4IMIOAD81umycn19yClJSmgdwTOoALgQcABYwpo7knhMAwAXAg4ASyDbADgXAQcAAFgOAQcAAFgOAQcAAFgOAQeA32INHADVIeAA8EusgQOgJgQcAH6JNXAA1ISAA8DvsQYOgPMRcAD4PbINgPMRcAAAgOUQcAAAgOUQcAAAgOV4NOAcP35cI0eOVEREhKKiojRu3DidPHmyxvp33XWXOnfurGbNmqlNmza6++67VVRU5FYvKCio0mv16tWe7AoAH8MaOABq0sSTBx85cqQOHTqk9evXq6ysTGPHjtWECRP00ksvVVn/4MGDOnjwoBYuXKiEhATt27dPd9xxhw4ePKhXX33Vre6KFSuUmprqeh8VFeXJrgDwIayBA+BCPBZw8vPzlZWVpS1btqhv376SpCeffFI333yzFi5cqLi4uEr7dOvWTf/93//tet+xY0c98sgj+v3vf68zZ86oSZP/NDcqKkp2u91TzQfgw1gDB8CFeOwSVU5OjqKiolzhRpKSk5MVHBys3NzcWh+nqKhIERERbuFGkiZNmqSWLVuqX79+Wr58uQzj1UBAYg0cAFXx2AiOw+FQq1at3D+sSRO1aNFCDoejVsc4evSo5syZowkTJriVz549WzfeeKPCw8P13nvv6c4779TJkyd19913V3mckpISlZSUuN47nc469gaAryLbAKhKnQPO9OnTNW/evBrr5Ofn17tBZzmdTg0ePFgJCQmaOXOm27aHHnrI9efevXuruLhYCxYsqDbgzJ07V7NmzbroNgHwDQzYAriQOgecadOmacyYMTXW6dChg+x2uw4fPuxWfubMGR0/fvyCc2dOnDih1NRUXXrppXr99dfVtGnTGusnJiZqzpw5Kikpkc1mq7Q9PT1daWlprvdOp1Px8fE1HhOAb2KCMYDaqHPAiYmJUUxMzAXrJSUlqbCwUHl5eerTp48k6YMPPlBFRYUSExOr3c/pdColJUU2m01vvfWWwsLCLvhZ27dvV3R0dJXhRpJsNlu12wD4FyYYA6gNj83B6dq1q1JTUzV+/HhlZmaqrKxMkydP1vDhw113UH3//fcaOHCgnnvuOfXr109Op1ODBg3SqVOn9MILL8jpdLrmy8TExCgkJERr165VQUGBrr76aoWFhWn9+vV69NFHde+993qqKwB8FBOMAVTHo+vgvPjii5o8ebIGDhyo4OBg3XLLLVqyZIlre1lZmXbu3KlTp05JkrZt2+a6w6pTp05ux9qzZ4/atWunpk2baunSpZo6daqMMerUqZMWLVqk8ePHe7IrAHwQ2QZAdYJMAN5f7XQ6FRkZ6boFHYD/OFV6Rgkz1kmSvp6dovBQj/6eBsCH1OX7m2dRAQAAyyHgAAAAyyHgAAAAyyHgAAAAyyHgAPArgXdbBID6IOAA8BusYgygtgg4APwGqxgDqC0CDgC/xCrGAGpCwAHgl8g2AGpCwAEAAJZDwAEAAJZDwAEAAJZDwAHgF4wxOlVa7u1mAPATPIYXgM8zxui3mTnK2/eDt5sCwE8wggPA550uK3cLN33bRrMGDoAaMYIDwK9sfTBZlzUPZQ0cADViBAeAXwkPDSHcALggAg4AALAcAg4AALAcAg4AALAcAg4AALAcAg4An2eMt1sAwN8QcAD4NGOMbs3M8XYzAPgZAg4An3a6rFxfH3JKkhJaR7DAH4BaIeAA8Btr7khiDRwAtULAAeA3yDYAaouAAwAALIeAAwAALIeAAwAALIeAAwAALIeAAwAALIeAAwAALMejAef48eMaOXKkIiIiFBUVpXHjxunkyZM17nP99dcrKCjI7XXHHXe41dm/f78GDx6s8PBwtWrVSvfdd5/OnDnjya4A8BIe0wCgPpp48uAjR47UoUOHtH79epWVlWns2LGaMGGCXnrppRr3Gz9+vGbPnu16Hx4e7vpzeXm5Bg8eLLvdrk2bNunQoUMaNWqUmjZtqkcffdRjfQHQ+HhMA4D68ljAyc/PV1ZWlrZs2aK+fftKkp588kndfPPNWrhwoeLi4qrdNzw8XHa7vcpt7733nr7++mu9//77io2NVa9evTRnzhw98MADmjlzpkJDQz3SHwCNj8c0AKgvj12iysnJUVRUlCvcSFJycrKCg4OVm5tb474vvviiWrZsqW7duik9PV2nTp1yO2737t0VGxvrKktJSZHT6dSOHTuqPF5JSYmcTqfbC4DvO/fyFI9pAFAXHhvBcTgcatWqlfuHNWmiFi1ayOFwVLvf7373O7Vt21ZxcXH64osv9MADD2jnzp167bXXXMc9N9xIcr2v7rhz587VrFmzLqY7ABrZ+ZenyDYA6qLOAWf69OmaN29ejXXy8/Pr3aAJEya4/ty9e3e1bt1aAwcO1O7du9WxY8d6HTM9PV1paWmu906nU/Hx8fVuIwDP4/IUgItR54Azbdo0jRkzpsY6HTp0kN1u1+HDh93Kz5w5o+PHj1c7v6YqiYmJkqRdu3apY8eOstvt2rx5s1udgoICSar2uDabTTabrdafCcC3cHkKQF3VOeDExMQoJibmgvWSkpJUWFiovLw89enTR5L0wQcfqKKiwhVaamP79u2SpNatW7uO+8gjj+jw4cOuS2Dr169XRESEEhIS6tgbAP6AbAOgrjw2ybhr165KTU3V+PHjtXnzZn3yySeaPHmyhg8f7rqD6vvvv1eXLl1cIzK7d+/WnDlzlJeXp7179+qtt97SqFGjdN1116lHjx6SpEGDBikhIUF/+MMf9Pnnn2vdunV68MEHNWnSJEZpAAth/RsAF8OjC/29+OKL6tKliwYOHKibb75Z11xzjZ555hnX9rKyMu3cudN1l1RoaKjef/99DRo0SF26dNG0adN0yy23aO3ata59QkJC9PbbbyskJERJSUn6/e9/r1GjRrmtmwPAv7H+DYCLFWRM4P2e5HQ6FRkZqaKiIkVERHi7OQDOc6r0jBJmrJP0rwnG79x9DXNwANTp+5tnUQHwaUwwBlAfBBwAPo1sA6A+CDgAAMByCDgAfE7gzQwE0NAIOAB8CndQAWgIBBwAPoVHNABoCAQcAD6LO6gA1BcBB4BPOXf+DdkGQH0RcAD4DObfAGgoBBwAPoP5NwAaCgEHgE9i/g2Ai0HAAeCTyDYALgYBB4DPYIE/AA2FgAPAJzDBGEBDIuAA8AlMMAbQkAg4AHwOE4wBXCwCDgCfwAJ/ABoSAQeA1zH/BkBDI+AA8Drm3wBoaAQcAD6F+TcAGgIBB4DXMf8GQEMj4ADwKubfAPAEAg4Ar2L+DQBPIOAA8BnMvwHQUAg4ALyK+TcAPIGAA8BrmH8DwFMIOAC8hvk3ADyFgAPAJzD/BkBDIuAA8AlkGwANiYADwGvOnWAMAA2JgAPAK5hgDMCTPBpwjh8/rpEjRyoiIkJRUVEaN26cTp48WW39vXv3KigoqMrXmjVrXPWq2r569WpPdgVAA2OCMQBPauLJg48cOVKHDh3S+vXrVVZWprFjx2rChAl66aWXqqwfHx+vQ4cOuZU988wzWrBggW666Sa38hUrVig1NdX1PioqqsHbD6BxMMEYQEPzWMDJz89XVlaWtmzZor59+0qSnnzySd18881auHCh4uLiKu0TEhIiu93uVvb666/rtttu0yWXXOJWHhUVVakuAP9gjNGp0nLXe7INgIbmsUtUOTk5ioqKcoUbSUpOTlZwcLByc3NrdYy8vDxt375d48aNq7Rt0qRJatmypfr166fly5fL1DBbsaSkRE6n0+0FwDuMMfptZo76Pvy+t5sCwMI8NoLjcDjUqlUr9w9r0kQtWrSQw+Go1TGWLVumrl27qn///m7ls2fP1o033qjw8HC99957uvPOO3Xy5EndfffdVR5n7ty5mjVrVv06AqBBnS4rV96+H1zv+7aNZv4NgAZX54Azffp0zZs3r8Y6+fn59W7QWadPn9ZLL72khx56qNK2c8t69+6t4uJiLViwoNqAk56errS0NNd7p9Op+Pj4i24jgIuz9cFkXdY8lPk3ABpcnQPOtGnTNGbMmBrrdOjQQXa7XYcPH3YrP3PmjI4fP16ruTOvvvqqTp06pVGjRl2wbmJioubMmaOSkhLZbLZK2202W5XlALwrPDSEcAPAI+occGJiYhQTE3PBeklJSSosLFReXp769OkjSfrggw9UUVGhxMTEC+6/bNky/epXv6rVZ23fvl3R0dGEGMAPsLgfgMbgsTk4Xbt2VWpqqsaPH6/MzEyVlZVp8uTJGj58uOsOqu+//14DBw7Uc889p379+rn23bVrlzZu3Kh333230nHXrl2rgoICXX311QoLC9P69ev16KOP6t577/VUVwA0EBb3A9BYPLoOzosvvqjJkydr4MCBCg4O1i233KIlS5a4tpeVlWnnzp06deqU237Lly/XFVdcoUGDBlU6ZtOmTbV06VJNnTpVxhh16tRJixYt0vjx4z3ZFQANgMX9ADSWIFPT/dUW5XQ6FRkZqaKiIkVERHi7OUDAOFV6Rgkz1kmSdsxKUXObR3/HAmAxdfn+5llUABoFi/sBaEz8+gTA484u7nfu+jcA4EmM4ADwOBb3A9DYGMEB4HHnzvRjcT8AjYERHAAedf6t4SzuB6AxEHAAeBS3hgPwBgIOgEaz5o4kRm8ANAoCDoBGQ7YB0FgIOAA85vy1bwCgsXAXFQCPYO0bAN7ECA4Aj2DtGwDexAgOAI9j7RsAjY0RHAAN7vy5N6x9A6CxMYIDoEEx9waAL2AEB0CDYu4NAF/ACA6ABnP+pSnm3gDwFgIOgAZR1aUp5t4A8BYuUQFoEFyaAuBLGMEB0OC4NAXA2wg4AC6KMUany8q5LRyATyHgAKg3bgkH4KuYgwOg3s6fdyMx9waAb2AEB0CdVXVZauuDyQoPDVGzplyeAuB9BBwAdVLdZanw0BCFh/JPCgDfwCUqAHXCZSkA/oBftwDUG5elAPgqAg6AGp2db3PW+beDc1kKgC/iXyYA1eI2cAD+ijk4AKpV1Xybs5h3A8CXMYIDoFbOzrc5i3k3AHwZAQcIYOfPrzkf820A+CuP/Wv1yCOP6J133tH27dsVGhqqwsLCC+5jjFFGRoaeffZZFRYW6uc//7meeuopXXnlla46x48f11133aW1a9cqODhYt9xyi5544gldcsklnuoKYEnMrwFgZR6bg1NaWqpbb71VEydOrPU+8+fP15IlS5SZmanc3Fw1b95cKSkp+vHHH111Ro4cqR07dmj9+vV6++23tXHjRk2YMMETXQAsrab5Nedjvg0AfxNkjDGe/ICVK1dqypQpFxzBMcYoLi5O06ZN07333itJKioqUmxsrFauXKnhw4crPz9fCQkJ2rJli/r27StJysrK0s0336wDBw4oLi6uVm1yOp2KjIxUUVGRIiIiLqp/5/ehpuF+wJecKi1X34ffl1R5fs35mG8DwBfU5fvbZy6o79mzRw6HQ8nJya6yyMhIJSYmKicnR8OHD1dOTo6ioqJc4UaSkpOTFRwcrNzcXP3617+u8tglJSUqKSlxvXc6nR7pw+myciXMWOeRYwOexPwaAFbjM7eJOxwOSVJsbKxbeWxsrGubw+FQq1at3LY3adJELVq0cNWpyty5cxUZGel6xcfHN3DrAf/F5ScAVlSnX9mmT5+uefPm1VgnPz9fXbp0uahGNbT09HSlpaW53judTo+EnGZNQ/T17JQGPy7gSVx+AmBFdQo406ZN05gxY2qs06FDh3o1xG63S5IKCgrUunVrV3lBQYF69erlqnP48GG3/c6cOaPjx4+79q+KzWaTzWarV7vqIigoiGF+AAB8QJ2+jWNiYhQTE+ORhrRv3152u13Z2dmuQON0OpWbm+u6EyspKUmFhYXKy8tTnz59JEkffPCBKioqlJiY6JF2AQAA/+OxOTj79+/X9u3btX//fpWXl2v79u3avn27Tp486arTpUsXvf7665L+NfoxZcoUPfzww3rrrbf05ZdfatSoUYqLi9PQoUMlSV27dlVqaqrGjx+vzZs365NPPtHkyZM1fPjwWt9BBQAArM9j11NmzJihVatWud737t1bkvThhx/q+uuvlyTt3LlTRUVFrjr333+/iouLNWHCBBUWFuqaa65RVlaWwsLCXHVefPFFTZ48WQMHDnQt9LdkyRJPdQMAAPghj6+D44s8tQ4OAADwnLp8f/vMbeIAAAANhYADAAAsh4ADAAAsh4ADAAAsh4ADAAAsh4ADAAAsh4ADAAAsh4ADAAAsh4ADAAAsh4ADAAAsx2PPovJlZ59O4XQ6vdwSAABQW2e/t2vzlKmADDgnTpyQJMXHx3u5JQAAoK5OnDihyMjIGusE5MM2KyoqdPDgQV166aUKCgpqkGM6nU7Fx8fru+++s+wDPK3eR6v3T6KPVmD1/kn00Qo81T9jjE6cOKG4uDgFB9c8yyYgR3CCg4N1xRVXeOTYERERlvyf9VxW76PV+yfRRyuwev8k+mgFnujfhUZuzmKSMQAAsBwCDgAAsBwCTgOx2WzKyMiQzWbzdlM8xup9tHr/JPpoBVbvn0QfrcAX+heQk4wBAIC1MYIDAAAsh4ADAAAsh4ADAAAsh4ADAAAsh4BTS4888oj69++v8PBwRUVFVVln//79Gjx4sMLDw9WqVSvdd999OnPmTI3HPX78uEaOHKmIiAhFRUVp3LhxOnnypAd6UHcbNmxQUFBQla8tW7ZUu9/1119fqf4dd9zRiC2vvXbt2lVq62OPPVbjPj/++KMmTZqkyy67TJdccoluueUWFRQUNFKL62bv3r0aN26c2rdvr2bNmqljx47KyMhQaWlpjfv5+jlcunSp2rVrp7CwMCUmJmrz5s011l+zZo26dOmisLAwde/eXe+++24jtbRu5s6dq6uuukqXXnqpWrVqpaFDh2rnzp017rNy5cpK5yosLKyRWlx3M2fOrNTeLl261LiPv5y/s6r6dyUoKEiTJk2qsr6vn8ONGzfql7/8peLi4hQUFKQ33njDbbsxRjNmzFDr1q3VrFkzJScn69tvv73gcev6c1xXBJxaKi0t1a233qqJEydWub28vFyDBw9WaWmpNm3apFWrVmnlypWaMWNGjccdOXKkduzYofXr1+vtt9/Wxo0bNWHCBE90oc769++vQ4cOub1uv/12tW/fXn379q1x3/Hjx7vtN3/+/EZqdd3Nnj3bra133XVXjfWnTp2qtWvXas2aNfroo4908OBB/eY3v2mk1tbNN998o4qKCj399NPasWOHHn/8cWVmZurPf/7zBff11XP48ssvKy0tTRkZGdq2bZt69uyplJQUHT58uMr6mzZt0ogRIzRu3Dh99tlnGjp0qIYOHaqvvvqqkVt+YR999JEmTZqkTz/9VOvXr1dZWZkGDRqk4uLiGveLiIhwO1f79u1rpBbXz09/+lO39n788cfV1vWn83fWli1b3Pq3fv16SdKtt95a7T6+fA6Li4vVs2dPLV26tMrt8+fP15IlS5SZmanc3Fw1b95cKSkp+vHHH6s9Zl1/juvFoE5WrFhhIiMjK5W/++67Jjg42DgcDlfZU089ZSIiIkxJSUmVx/r666+NJLNlyxZX2f/8z/+YoKAg8/333zd42y9WaWmpiYmJMbNnz66x3oABA8w999zTOI26SG3btjWPP/54resXFhaapk2bmjVr1rjK8vPzjSSTk5PjgRY2vPnz55v27dvXWMeXz2G/fv3MpEmTXO/Ly8tNXFycmTt3bpX1b7vtNjN48GC3ssTERPOnP/3Jo+1sCIcPHzaSzEcffVRtner+TfJVGRkZpmfPnrWu78/n76x77rnHdOzY0VRUVFS53Z/OoSTz+uuvu95XVFQYu91uFixY4CorLCw0NpvN/OMf/6j2OHX9Oa4PRnAaSE5Ojrp3767Y2FhXWUpKipxOp3bs2FHtPlFRUW6jIcnJyQoODlZubq7H21xXb731lo4dO6axY8desO6LL76oli1bqlu3bkpPT9epU6caoYX189hjj+myyy5T7969tWDBghovK+bl5amsrEzJycmusi5duqhNmzbKyclpjOZetKKiIrVo0eKC9XzxHJaWliovL8/t7z84OFjJycnV/v3n5OS41Zf+9bPpD+erqKhIki54vk6ePKm2bdsqPj5eQ4YMqfbfHF/x7bffKi4uTh06dNDIkSO1f//+auv68/mT/vX/7AsvvKA//vGPNT7c2d/O4Vl79uyRw+FwO0eRkZFKTEys9hzV5+e4PgLyYZue4HA43MKNJNd7h8NR7T6tWrVyK2vSpIlatGhR7T7etGzZMqWkpFzwQaW/+93v1LZtW8XFxemLL77QAw88oJ07d+q1115rpJbW3t13362f/exnatGihTZt2qT09HQdOnRIixYtqrK+w+FQaGhopXlYsbGxPnnOzrdr1y49+eSTWrhwYY31fPUcHj16VOXl5VX+rH3zzTdV7lPdz6avn6+KigpNmTJFP//5z9WtW7dq63Xu3FnLly9Xjx49VFRUpIULF6p///7asWOHxx4qfDESExO1cuVKde7cWYcOHdKsWbN07bXX6quvvtKll15aqb6/nr+z3njjDRUWFmrMmDHV1vG3c3ius+ehLueoPj/H9RHQAWf69OmaN29ejXXy8/MvOAHO39Sn3wcOHNC6dev0yiuvXPD4584h6t69u1q3bq2BAwdq9+7d6tixY/0bXkt16V9aWpqrrEePHgoNDdWf/vQnzZ0716eXUK/POfz++++VmpqqW2+9VePHj69xX2+fQ0iTJk3SV199VeP8FElKSkpSUlKS633//v3VtWtXPf3005ozZ46nm1lnN910k+vPPXr0UGJiotq2batXXnlF48aN82LLPGPZsmW66aabFBcXV20dfzuH/iKgA860adNqTNWS1KFDh1ody263V5oBfvbOGrvdXu0+50+oOnPmjI4fP17tPg2hPv1esWKFLrvsMv3qV7+q8+clJiZK+tfoQWN8OV7MeU1MTNSZM2e0d+9ede7cudJ2u92u0tJSFRYWuo3iFBQUePScna+ufTx48KBuuOEG9e/fX88880ydP6+xz2F1WrZsqZCQkEp3rdX092+32+tU3xdMnjzZddNBXX+Db9q0qXr37q1du3Z5qHUNKyoqSj/5yU+qba8/nr+z9u3bp/fff7/OI5/+dA7PnoeCggK1bt3aVV5QUKBevXpVuU99fo7rpcFm8wSIC00yLigocJU9/fTTJiIiwvz4449VHuvsJOOtW7e6ytatW+dzk4wrKipM+/btzbRp0+q1/8cff2wkmc8//7yBW9bwXnjhBRMcHGyOHz9e5fazk4xfffVVV9k333zj05OMDxw4YK688kozfPhwc+bMmXodw5fOYb9+/czkyZNd78vLy83ll19e4yTjX/ziF25lSUlJPjlJtaKiwkyaNMnExcWZ//u//6vXMc6cOWM6d+5spk6d2sCt84wTJ06Y6Oho88QTT1S53Z/O3/kyMjKM3W43ZWVlddrPl8+hqplkvHDhQldZUVFRrSYZ1+XnuF5tbbAjWdy+ffvMZ599ZmbNmmUuueQS89lnn5nPPvvMnDhxwhjzr/8hu3XrZgYNGmS2b99usrKyTExMjElPT3cdIzc313Tu3NkcOHDAVZaammp69+5tcnNzzccff2yuvPJKM2LEiEbvX03ef/99I8nk5+dX2nbgwAHTuXNnk5uba4wxZteuXWb27Nlm69atZs+ePebNN980HTp0MNddd11jN/uCNm3aZB5//HGzfft2s3v3bvPCCy+YmJgYM2rUKFed8/tnjDF33HGHadOmjfnggw/M1q1bTVJSkklKSvJGFy7owIEDplOnTmbgwIHmwIED5tChQ67XuXX86RyuXr3a2Gw2s3LlSvP111+bCRMmmKioKNcdjH/4wx/M9OnTXfU/+eQT06RJE7Nw4UKTn59vMjIyTNOmTc2XX37prS5Ua+LEiSYyMtJs2LDB7VydOnXKVef8/s2aNcusW7fO7N692+Tl5Znhw4ebsLAws2PHDm904YKmTZtmNmzYYPbs2WM++eQTk5ycbFq2bGkOHz5sjPHv83eu8vJy06ZNG/PAAw9U2uZv5/DEiROu7zxJZtGiReazzz4z+/btM8YY89hjj5moqCjz5ptvmi+++MIMGTLEtG/f3pw+fdp1jBtvvNE8+eSTrvcX+jluCAScWho9erSRVOn14Ycfuurs3bvX3HTTTaZZs2amZcuWZtq0aW7J/cMPPzSSzJ49e1xlx44dMyNGjDCXXHKJiYiIMGPHjnWFJl8xYsQI079//yq37dmzx+3vYf/+/ea6664zLVq0MDabzXTq1Mncd999pqioqBFbXDt5eXkmMTHRREZGmrCwMNO1a1fz6KOPuo24nd8/Y4w5ffq0ufPOO010dLQJDw83v/71r90Cgy9ZsWJFlf/fnjt464/n8MknnzRt2rQxoaGhpl+/fubTTz91bRswYIAZPXq0W/1XXnnF/OQnPzGhoaHmpz/9qXnnnXcaucW1U925WrFihavO+f2bMmWK6+8iNjbW3HzzzWbbtm2N3/haGjZsmGndurUJDQ01l19+uRk2bJjZtWuXa7s/n79zrVu3zkgyO3furLTN387h2e+u819n+1BRUWEeeughExsba2w2mxk4cGClfrdt29ZkZGS4ldX0c9wQgowxpuEueAEAAHgf6+AAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAA8HtHjhyR3W7Xo48+6irbtGmTQkNDlZ2d7cWWAfAWnkUFwBLeffddDR06VJs2bVLnzp3Vq1cvDRkyRIsWLfJ20wB4AQEHgGVMmjRJ77//vvr27asvv/xSW7Zskc1m83azAHgBAQeAZZw+fVrdunXTd999p7y8PHXv3t3bTQLgJczBAWAZu3fv1sGDB1VRUaG9e/d6uzkAvIgRHACWUFpaqn79+qlXr17q3LmzFi9erC+//FKtWrXydtMAeAEBB4Al3HfffXr11Vf1+eef65JLLtGAAQMUGRmpt99+29tNA+AFXKIC4Pc2bNigxYsX6/nnn1dERISCg4P1/PPP63//93/11FNPebt5ALyAERwAAGA5jOAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADLIeAAAADL+X9y8aU6RKzCyAAAAABJRU5ErkJggg==", + "image/png": "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", "text/plain": [ "
" ] @@ -4069,13 +3429,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.94, -2.33)\": -1.0, \"(-2.33, -1.95)\": -0.98, \"(-1.95, -1.71)\": -0.959, \"(-1.71, -1.58)\": -0.936, \"(-1.58, -1.46)\": -0.914, \"(-1.46, -1.35)\": -0.893, \"(-1.35, -1.28)\": -0.872, \"(-1.28, -1.19)\": -0.849, \"(-1.19, -1.13)\": -0.824, \"(-1.13, -1.05)\": -0.801, \"(-1.05, -1.0)\": -0.781, \"(-1.0, -0.93)\": -0.752, \"(-0.93, -0.89)\": -0.728, \"(-0.89, -0.82)\": -0.696, \"(-0.82, -0.78)\": -0.674, \"(-0.78, -0.74)\": -0.649, \"(-0.74, -0.7)\": -0.625, \"(-0.7, -0.67)\": -0.596, \"(-0.67, -0.61)\": -0.572, \"(-0.61, -0.58)\": -0.535, \"(-0.58, -0.54)\": -0.509, \"(-0.54, -0.49)\": -0.486, \"(-0.49, -0.46)\": -0.446, \"(-0.46, -0.41)\": -0.421, \"(-0.41, -0.36)\": -0.373, \"(-0.36, -0.34)\": -0.343, \"(-0.34, -0.31)\": -0.32, \"(-0.31, -0.29)\": -0.292, \"(-0.29, -0.25)\": -0.261, \"(-0.25, -0.23)\": -0.234, \"(-0.23, -0.19)\": -0.213, \"(-0.19, -0.17)\": -0.189, \"(-0.17, -0.14)\": -0.158, \"(-0.14, -0.1)\": -0.136, \"(-0.1, -0.05)\": -0.068, \"(-0.05, -0.02)\": -0.041, \"(-0.02, 0.02)\": -0.006, \"(0.02, 0.04)\": 0.026, \"(0.04, 0.06)\": 0.047, \"(0.06, 0.09)\": 0.067, \"(0.09, 0.11)\": 0.092, \"(0.11, 0.13)\": 0.113, \"(0.13, 0.15)\": 0.136, \"(0.15, 0.18)\": 0.161, \"(0.18, 0.22)\": 0.197, \"(0.22, 0.24)\": 0.224, \"(0.24, 0.26)\": 0.245, \"(0.26, 0.29)\": 0.268, \"(0.29, 0.34)\": 0.293, \"(0.34, 0.39)\": 0.342, \"(0.39, 0.42)\": 0.378, \"(0.42, 0.45)\": 0.404, \"(0.45, 0.48)\": 0.427, \"(0.48, 0.52)\": 0.455, \"(0.52, 0.57)\": 0.494, \"(0.57, 0.6)\": 0.521, \"(0.6, 0.64)\": 0.55, \"(0.64, 0.68)\": 0.575, \"(0.68, 0.74)\": 0.609, \"(0.74, 0.8)\": 0.636, \"(0.8, 0.85)\": 0.671, \"(0.85, 0.92)\": 0.693, \"(0.92, 0.99)\": 0.74, \"(0.99, 1.06)\": 0.762, \"(1.06, 1.1)\": 0.784, \"(1.1, 1.18)\": 0.806, \"(1.18, 1.26)\": 0.829, \"(1.26, 1.34)\": 0.852, \"(1.34, 1.43)\": 0.877, \"(1.43, 1.56)\": 0.897, \"(1.56, 1.72)\": 0.919, \"(1.72, 1.92)\": 0.939, \"(1.92, 2.33)\": 0.961, \"(2.33, 9.97)\": 0.983}\n", + "Means: {\"(-9.97, -9.89)\": -6.85, \"(-9.89, -9.78)\": -6.64, \"(-9.78, -8.97)\": -6.42, \"(-8.97, -8.87)\": -6.19, \"(-8.87, -8.78)\": -5.94, \"(-8.78, -8.69)\": -5.72, \"(-8.69, -8.62)\": -5.52, \"(-8.62, -8.38)\": -5.3, \"(-8.38, -7.68)\": -5.1, \"(-7.68, -7.59)\": -4.87, \"(-7.59, -7.48)\": -4.62, \"(-7.48, -7.39)\": -4.36, \"(-7.39, -7.23)\": -4.1, \"(-7.23, -6.45)\": -3.9, \"(-6.45, -6.36)\": -3.66, \"(-6.36, -6.28)\": -3.45, \"(-6.28, -6.18)\": -3.23, \"(-6.18, -6.08)\": -2.99, \"(-6.08, -5.23)\": -2.75, \"(-5.23, -5.12)\": -2.47, \"(-5.12, -5.04)\": -2.22, \"(-5.04, -4.98)\": -1.99, \"(-4.98, -4.83)\": -1.77, \"(-4.83, -4.67)\": -1.54, \"(-4.67, -3.91)\": -1.35, \"(-3.91, -3.8)\": -1.08, \"(-3.8, -3.72)\": -0.83, \"(-3.72, -3.61)\": -0.59, \"(-3.61, -3.5)\": -0.38, \"(-3.5, -2.71)\": -0.17, \"(-2.71, -2.6)\": 0.04, \"(-2.6, -2.51)\": 0.34, \"(-2.51, -2.4)\": 0.57, \"(-2.4, -2.31)\": 0.79, \"(-2.31, -2.06)\": 0.99, \"(-2.06, -1.39)\": 1.19, \"(-1.39, -1.31)\": 1.42, \"(-1.31, -1.21)\": 1.62, \"(-1.21, -1.09)\": 1.96, \"(-1.09, -0.93)\": 2.19, \"(-0.93, -0.16)\": 2.4, \"(-0.16, -0.04)\": 2.69, \"(-0.04, 0.06)\": 2.96, \"(0.06, 0.17)\": 3.21, \"(0.17, 0.32)\": 3.43, \"(0.32, 1.09)\": 3.65, \"(1.09, 1.21)\": 3.87, \"(1.21, 1.32)\": 4.23, \"(1.32, 1.4)\": 4.44, \"(1.4, 1.52)\": 4.66, \"(1.52, 2.32)\": 4.86, \"(2.32, 2.42)\": 5.09, \"(2.42, 2.5)\": 5.29, \"(2.5, 2.58)\": 5.52, \"(2.58, 2.67)\": 5.74, \"(2.67, 2.86)\": 5.95, \"(2.86, 3.61)\": 6.18, \"(3.61, 3.7)\": 6.4, \"(3.7, 3.81)\": 6.63, \"(3.81, 3.89)\": 6.92, \"(3.89, 4.02)\": 7.13, \"(4.02, 4.83)\": 7.34, \"(4.83, 4.92)\": 7.56, \"(4.92, 5.02)\": 7.76, \"(5.02, 5.14)\": 8.12, \"(5.14, 5.24)\": 8.34, \"(5.24, 6.06)\": 8.55, \"(6.06, 6.17)\": 8.78, \"(6.17, 6.25)\": 9.02, \"(6.25, 6.34)\": 9.25, \"(6.34, 6.44)\": 9.46, \"(6.44, 6.57)\": 9.68, \"(6.57, 7.36)\": 9.9, \"(7.36, 7.45)\": 10.12, \"(7.45, 7.53)\": 10.34, \"(7.53, 7.61)\": 10.59, \"(7.61, 7.72)\": 10.79, \"(7.72, 8.56)\": 11.06, \"(8.56, 8.66)\": 11.27, \"(8.66, 8.76)\": 11.5, \"(8.76, 8.84)\": 11.72, \"(8.84, 8.92)\": 11.94, \"(8.92, 9.03)\": 12.15, \"(9.03, 9.85)\": 12.37, \"(9.85, 9.96)\": 12.6, \"(9.96, 9.99)\": 12.84}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4085,7 +3445,7 @@ }, { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjMAAAHHCAYAAABKudlQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAABBY0lEQVR4nO3deXxU5b3H8W8CmZAgExDIgsYILlhcQEjFcOueEi1WaS2uRWgRhQatykXhmoIsihWrpVRF76sCF723Sm21dQOi4kZUgqBCBEXZSYILJEiQyfLcP+iMmclMMklmcuac+bxfr3lpzpxz8hxOZuY3z/N7fk+CMcYIAADAphKtbgAAAEB7EMwAAABbI5gBAAC2RjADAABsjWAGAADYGsEMAACwNYIZAABgawQzAADA1ghmAACArRHMAEAM+Pbbb5Wenq6nnnrK0nacffbZuuOOOyxtA9BaBDOAza1atUpjx45tdp/jjz8+7POtWbNGkyZN0qmnnqquXbvquOOO05VXXqlPP/20fQ1tg0i1ZfHixbr77ruj08gImT9/vrp166arr77at23x4sVKSEgI+qioqAh6ntbc62DuvPNOPfzwwyHPD8QighnAhqqqqvTuu+822b5//3699957kqTi4mLV19c32Wf58uXNnvv3v/+9nn32WV100UWaP3++brzxRr355psaPHiwNmzYEJkLCFN72rJjxw598sknTbbv2bNHH3/8cbSa3Ca1tbWaP3++brjhBnXq1KnJ87NmzdLSpUv9Ht27d/c939Z7Hczll18ut9utRx55pNXHApYxAGznww8/NCeffLK55ZZbzL/+9S8zZswY87e//c307dvXPPTQQ6ahocFceeWVJjc316xfv97k5OSYL774wgwfPtz8+Mc/NgcOHAh57nfeecccPnzYb9unn35qkpOTzXXXXdem9ubk5JgZM2a0+rj2tOXVV181OTk5Zvbs2ebxxx8306dPN48++qjJyckxf/3rX1vdlmj6+9//biSZLVu2+G1ftGiRkWTWrFkT8tj23OtQJk2aZHJyckxDQ0OrjwWsQDADWKSystL06tXLnHfeeX4fGp999plJTU01V155ZbPHHz582MybN8/06dPHdO3a1Vx55ZVm27Ztfvu8+eab5uyzzzYul8sMGjTIPP/8821u7+DBg83gwYPbdGxbg5n2tqW6utpMmzbN9OzZ07jdbjNhwgTz5ZdfhvU7li5dan74wx+alJQU0717d3POOeeY5cuX++3z8MMPmwEDBhiXy2WysrLMb37zG7Nv3z6/fT799FPz85//3GRkZJjk5GRzzDHHmKuuusrs37/ft8/1119vjj/++CZtaBzMVFdXm7q6upDtbe5el5WVmS5dupjRo0f7HfPWW2+ZxMREc8cdd/htf/75540k88EHH7T47wTEAoaZAIukp6fr0Ucf1RtvvKEFCxZIkhoaGjR27Fh169atxW7+hIQEJSYmKiEhwfez9/+9Gj/v3actjDGqrKxUr1692nR8JLWmLYmJiUpM/P5tLtzrnzlzpkaPHq2kpCTNmjVLM2fOVHZ2tl577TXfPnfffbcKCwvVp08f/eEPf9AVV1yhxx57TMOHD1dtba0kyePxqKCgQO+++65uvvlmPfzww7rxxhv1xRdfaP/+/b5zrV69WoMHDw7ZngsuuEBut1upqam67LLL9NlnnwW91lD3+gc/+IFmz56tpUuX6p///Kck6eDBgxo7dqxOOeUUzZo1y+9cQ4YMkSS98847Yf17AZazOpoC4t0111xjUlNTzaeffmrmzZtnJJnnnnuu2WM++ugjc8opp5ibb77ZN8y0bNky07dvX/PHP/7RNDQ0mGuvvbbJ0MOPf/zjNg09LF261Egyf/nLX9p0jZHsmQm3La+//rrp27evmTVrlm+Y6ZFHHmlxmOmzzz4ziYmJ5mc/+5mpr6/3e87bg7Z3717jcrnM8OHD/fb585//bCSZJ554whhjzLp164wks2zZspC/r7a21iQkJJjJkyc3ee7pp582Y8eONUuWLDH/+Mc/TFFRkUlNTTW9evUyO3bs8LUpnHtdX19vfvSjH5mMjAzz1VdfmcLCQtO5c+eQQ1gul8tMnDgxZLuBWEIwA1js66+/NllZWeaMM84IOhQQzP79+01JSYkx5siH9pgxY4wxxuzbt8+8++67xhhjVqxY4RuWyMnJ8R378ssvt6p9n3zyiXG73SYvL6/ZYQ6v7777znz55Zd+j+zsbDNlypQm21urNW3Ztm2bKSsrM8YcGa7xBlO7d+82H330UcjjvAHlunXrQu7zv//7v0aSeemll/y2Hz582LjdbnPFFVcYY4z54osvjCRzww03mIMHDwY9V2VlpZFk5syZ0+z1eL311lsmISHB3HTTTb5t4d7rLVu2mK5du5of/vCHJiEhwfzud78L+XsyMjLMqFGjwmoTYDWCGSDKDh8+bMrLy/0egR/Ey5YtM5JMRkZGk5yLljQOZkJp/AHXGuXl5aZfv34mOzvb7N69O6xjvHke4Tyi3ZbGbQq3Z2jChAkmMTGxSeJxY3PnzjWSzOeff97kuUGDBpnc3Fzfz7fffruRZFJSUszw4cPNn//8Z798GW8wM3v27LCv5+yzzzYnnHBC0OdautfeYO20004zHo8n5H7p6ekt5m0BsaJzxw1oAfFp9erVuuCCC/y2bd261a8eiHcK7b59+7Rr1y6/abctOf/883X++ec3u8+2bdvCPp9XVVWVLrnkEu3fv19vvfWW+vTpE9ZxBQUFWrlypd+2X/7ylxo+fLiuv/76VrejPW3xaqkOTzT94Q9/0NixY/X8889rxYoVuuWWWzR37ly9++67OvbYY3X00UcrISFB+/btC/uc2dnZ2rx5c9DnWrrXK1askHRkivrXX3+tzMzMoPvt378/JnKkgLBYHU0BTvfNN9+YlStX+j0OHTrke/7ll182kswdd9xhjjnmGDN48GBTW1trYYuNOXTokDnnnHNMamqqWb16dbvP156cmUi3pSXtHWZKS0vzDTMF88477xhJ5q677vJtO/HEE83PfvazsNs4ZMgQc/LJJ4e9v9ejjz5qJJl77rnHHHXUUeayyy4Lut+uXbuMJLNgwYJW/w7ACgQzgIX27dtnjjnmGHPWWWeZuro6X2Azc+ZMy9pUV1dnLrvsMtO5c2fz4osvRuScbQ1motGWlrQmAfjiiy/2m1b/yCOP+CUAV1VVNQlMq6urTWJiovnP//xP37bRo0eb7OzsJm3Zu3dvk20vvviikWRuueWWVl3XF198YY466ihfoLVw4UIjySxZsqTJvt6p2WvXrm3V7wCskmCMMRZ1CgFxb8yYMXrmmWe0bt06nXLKKZKk8ePHa8mSJVqzZo0GDhzY4W269dZbNX/+fP30pz/VlVde2eT5X/7yl60+5/HHH6+xY8e2ekmBaLQlHNOnT9fs2bM1bNgw/fznP1dycrLWrFmjPn36aO7cuZKOTM2eOXOmhg8frssuu0ybN2/WI488osGDB+udd95RUlKSnnvuOU2aNEmjRo3SySefrLq6Oi1dulTr16/Xm2++qbPPPluS9Oyzz+oXv/iFNm/erJNPPtnXjpNOOklnnnmmcnNzlZaWpg8++EBPPPGEsrKytGbNGmVkZIR1PcYYXXjhhdq4caM2btyo3r17S5KGDx+uNWvWaOPGjX5DdzfffLP++c9/atu2bW2ezg90KIuDKSBueb/9/uEPf/DbXl1dbXJycszAgQObTdCMlvPOOy9iSbtebe2ZiUZbwvXEE0+YM8880yQnJ5sePXqY8847z6xcudJvnz//+c/mlFNOMUlJSSYjI8NMnDjRL4H7iy++ML/+9a/NCSecYLp06WKOPvpoc8EFF5ji4mK/8xw+fNj06tWrSRLwXXfdZQYNGmTS0tJMUlKSOe6448zEiRNNRUVFq65l/vz5RpJ59tln/bbv2LHDuN1u85Of/MS3rb6+3mRlZZmioqJW/Q7ASvTMAEAMmD17thYtWqTPPvss6PpMHeW5557Ttddeq88//1xZWVmWtQNoDSoAA0AMuO222/Ttt9/qr3/9q6Xt+P3vf69JkyYRyMBW6JkBAAC2Rs8MAACwNYIZAABgawQzAADA1ghmAACArcXF2kwNDQ3as2ePunXrRgEoAABswhijAwcOqE+fPkpMDN3/EhfBzJ49e5SdnW11MwAAQBvs3LlTxx57bMjn4yKY6datm6Qj/xhut9vi1gAAgHBUV1crOzvb9zkeSlwEM96hJbfbTTADAIDNtJQiQgIwAACwNYIZAABgawQzAADA1ghmAACArRHMAAAAWyOYAQAAtkYwAwAAbI1gBgAA2BrBDAAAsDWCGQAAYGsEMwAAwNYIZgAAgK3FxUKTAJzBGKNDtfVh7ZuS1KnFxekAOAPBDABbMMboFwtLtHb7vrD2z83poWUT8ghogDjAMBMAWzhUWx92ICNJpdv3hd2LA8DebNMz8/DDD2vevHmqqKjQwIEDtWDBAp111llWNwuABUqL8pXq6hT0uRpPvXLnFHdwiwBYyRY9M08//bRuv/12zZgxQx988IEGDhyogoIC7d271+qmAbBAqquTUl2dQzy+D3JqPPWq8dTJGGNhawFEmy16Zh588EGNHz9ev/rVryRJCxcu1IsvvqgnnnhCU6dOtbh1QHyLdlKu9/w1ntYPGXl7aNqaPxPutZFsDFgr5oMZj8ejtWvXatq0ab5tiYmJys/PV0lJSdBjDh8+rMOHD/t+rq6ujno7gXgU7aTc1p5fOhJY5Ob0UGmjY7z5M6mu8N/yWvO7STYGrBXzw0xfffWV6uvrlZGR4bc9IyNDFRUVQY+ZO3eu0tLSfI/s7OyOaCoQd6KdlBvs/Lk5PZSSFDxfRpISEhK0bEKeymYVqLQoP+zfFc7vDoVkY8BaMd8z0xbTpk3T7bff7vu5urqagAaIskgn5Rpj/IaWvOcPZ0gnISGhVb0wLQl1bSQbA7Eh5oOZXr16qVOnTqqsrPTbXllZqczMzKDHJCcnKzk5uSOaB8SlYHks3qTcljQ+JlRgEmyIJ9zzt+f3en93W66txlNP7gxgkZgPZlwul4YMGaJXX31VI0eOlCQ1NDTo1Vdf1aRJk6xtHBCH2pLH0ljjnoxQuSaBQzwtDS1F6ve259py5xSTOwNYJOZzZiTp9ttv13//939ryZIl+uSTTzRx4kQdPHjQN7sJQMdpSx6LNyk3UDi5JqVF+W0OEFr7e1t7bYHnJ3cGsEbM98xI0lVXXaUvv/xS06dPV0VFhQYNGqRXXnmlSVIwgI4Vbh6LNynX+0HfONck2JTrwCGetvZ0tOf3hnNt3vN/fdDjd16Gm4COZYtgRpImTZrEsBIQY1qTxxIqKTfaCbRt/b3hXtuR83/fc8NwE9DxbDHMBMBZQg3/BIpErkxH/F6GmwBr2aZnBoC12lOJN1Dg8E8okR6uidbvDTbcBKDjEMwAaFF7ZzAFE+laMFb/3sDhJnJngI7DMBOAFrVlBlO8y51TrFELS1jkEugA9MwAaJXWVOKNN4HrQrVlTSgArccrDHC4llZ+bm1Q0t5KvE5G7gxgDd6RAAcLJ9elpWnEgWskoXnBcmcaa24Jh3BmQNEjBjRFMAM4WDgrPzc3FBKNxN94E9hDEyx4bM2/MzVsgKYIZoA4EbjyczgrPkdjjaR4EJg701iw4DGcoLO544F4x6sBcJjGwxXhrvwcahgpsLx/z64uegTCEKyeTTjBo9Q06Gzt8UA8IpgBHKStw0LhfEi2Z42keNRcPZvA4DHcoBNAcLxiAAcJNVwRbHiouaGQcI5H27W3h4WCfIA/ghnAoRoPVwT74Au3tH+o49E64QSP4QaNLGYJ+COYARwg2LpJ4QxXWLWkQDwKJ3hsLmikIB8QGq8CwOaYPm0f7QkegxXkY7gJOIK1mQCbY92k+BFYkI/1n4Aj6JkBbK7x5xjrJjkfw01AU/TMADZmjNGohSW+n715MgQyzuUdbiotyre6KUDMIJgBbOxQbb3KyqslSQOy3AwtxYnA4SZGmRDvCGYAh2CabvwibwbxjmAGcAjimPiSktRJA7LckqSy8uqw6gUBTkUwA9iUMSbkmkpwPm/uDABmMwG2RG0ZSP69cd7AlplsiEcEM4ANBdaWoa4MvIX0WOYA8YhgBrC50qJ89ezq4sMrDgVb74m6M4hH/LUDNpfqYlghXjVe76nGU9/u1bgBuyKYAWwk2IKSiG8sFgoQzAC2QdIvwkUyMOINwQxgEywoiXCRDIx4QzAD2EBgTRkWlEQgkoERz/gLB2JcsOEl74KSgBfJwIhnvBsCMY6aMghXsGTg9iSL0/MHuyCYAWyEmjJorfb00JBzA7sgmAE6gHdKdVs0/mZNTRmEI1j+TFuQcwO74C8UiDKmVKOjNc6faQtybmA3BDNAlAWbUt0W5MqgNSimh3jCXzrQgbxTqtuCZExYocZTz98eYh7BDBAlwZYeYEo17CZ3TjGJwIh5vKsCUUCeDOwsMIGYRGDEukSrGwA4EUsPwM68CcSlRflWNwUIC2E2EGUsPQA7OpJA/H3wTe4MYhk9M0AUGPP9/3vzZPgQgJ3lzinWqIUlMo3/uIEYQTADRJgxRqMWlljdDKDdvLkzXt7cGSDWEMwAEXaotl5l5dWSpAFZbvJkYFvkzsAuCGaAKGI6K+wuMHeGUSbEIoIZIMIav9kTx8BpyJtBLCKYASKIfBk4UUpSJw3IckuSysqryZtBzCGYASKIfBk4kTd3BohVBDNAhBhj/JYuIF8GTtL4T7nGU89QE2IKRfOACAi2fAFxDJyK9ZoQa+iZASIgcPkCli6A01BzBrGMnhkgwkqL8tWzq4tvrHAUb97M1wc9yp1TbHVzAD/0zAARELh8AYEMnCiw5gwQKwhmgHZiOjbiFYnAiBUEM0A7MR0b8YrFJxErCGaACGJ2B5yORGDEIoIZoB0Ca8sQx8Dpgi0+SccMrGZZMLNt2zaNGzdOffv2VUpKik444QTNmDFDHo/Hb7+PPvpI55xzjrp06aLs7Gzdf//9FrUY8OetLcPMDsSbwERghppgNcumZm/atEkNDQ167LHHdOKJJ2rDhg0aP368Dh48qAceeECSVF1dreHDhys/P18LFy7Uxx9/rF//+tfq3r27brzxRquaDkiitgzim3e9prLyat96Takuqn3AGpb95V188cW6+OKLfT/369dPmzdv1qOPPuoLZp566il5PB498cQTcrlcOvXUU7V+/Xo9+OCDBDOIKdSWQbzxDjedOmO51U0BYitnpqqqSkcffbTv55KSEp177rlyuVy+bQUFBdq8ebP27dsX7BSSpMOHD6u6utrvAUQatWUQ7wLXa6rx1DHcBEvETDCzZcsWLViwQDfddJNvW0VFhTIyMvz28/5cUVER8lxz585VWlqa75GdnR2dRiNuUVsG8Jc7p1gDpi8nfwaWiHgwM3XqVCUkJDT72LRpk98xu3fv1sUXX6xRo0Zp/Pjx7W7DtGnTVFVV5Xvs3Lmz3ecEGqO2DNB0mrbEVG1YI+I5M5MnT9bYsWOb3adfv36+/9+zZ48uuOACDRs2TI8//rjffpmZmaqsrPTb5v05MzMz5PmTk5OVnJzcypYDLTPG6FBtvd90bGrLIF5582a8rwlm9sEqEQ9mevfurd69e4e17+7du3XBBRdoyJAhWrRokRIT/TuK8vLydNddd6m2tlZJSUmSpJUrV6p///7q0aNHsFMCUeOdit14BpNEbRnEtyPTtP0/ShoH+8GkJJFjhsiybDbT7t27df755ysnJ0cPPPCAvvzyS99z3l6Xa6+9VjNnztS4ceN05513asOGDZo/f74eeughq5qNOBY4FVtiOjYQTEs9NLk5PejRRERZFsysXLlSW7Zs0ZYtW3Tsscf6PedNHktLS9OKFStUWFioIUOGqFevXpo+fTrTsmG50qJ8pbo68Q0T+Ddv/kzp9tAzTb28eTXUpUGkJJg4SDuvrq5WWlqaqqqq5Ha7rW4OYow3D6YljXMCymYV8EYMBGjptdT4NeT9QuDFFwMEE+7nN+/GiGuh8mAAtF6w/JlQAoeiGHpCe8RMnRnACsHyYFpCngzQNsGmcnsxpRvtQc8M8G+B3d6h0B0OtE3jqdxeTOlGJBDMIC4FqxeT6upEHgwQZa0ZigLCxV8U4g55MkBs8n65oPcTrUUwg7hDvRggNnmHm0gGRmsRzCCuGGP8hpaoFwNYK1h9GurQoLX4S0HcCDa8RJ4MYC3Wd0Ik8C6OuBE4vMTQEhAbgiUFO7+cKyKJOjOIS6VF+YzJAzFs1MISxUGBekQIwQziQmCuTKqLHBkg1qQkddKArCMl68vKqymih7ARzMDxvLkyjMUDsc2bPwO0FsEMHI9cGcA+GneYMsqEcBHMIK6QKwPYB3kzCBfBDOIKuTJAbCNvBm1BMAPH44sdYB/kzaAtCGbgaMYYjVpYYnUzALRC487TGk89Q01oEcEMHO1Qbb3KyqslSQOy3CT+AjaTO6eY3Bm0iGAGjtb4/Y/EX8AevOs1eXnXagJCIZiBYwUOMRHHAPbgzZspLcq3uimwCYIZOBZDTIB9HVmvidcswkMwg7jAEBNgbyQCozkEM3CkwLWYiGMAeyMRGM3p3PIugL1412JqvIQBAPvxJgKX/vu17E0ETnXx0QV/9MzAcViLCXAGEoERLsJbOFppUb56dnWRLwPYFInACAc9M3A01mICnIWUGQRDMAPH4c0OcC6SgBEMwQwchbWYAOdhJW20hGAGjkKhPMB5AlfSpuYMAhHMwLEolAc4R+OXMjVnEIhgBo7S+L2NOAZwDhafRHMIZuAY5MsAzkXNGTSHYAaOQb4M4GzUnEEoBDNwJPJlACB+EMzAEVhYEog/zGqCF8sZwPZYWBKIT7lzipWb04OeWNAzA/tjYUkgfjCrCcHQMwNbCxxeYmFJwNm8s5q+PuhR7pxiq5uDGEEwA9sKNrzEwpKA8wXOavJ+oUlJ4vUfrwhmYFsMLwGQ5OuhIX8mfhHMwBEYXgLiizd3prTRFxpv/kyqi4+2eMMdhyMwvATEF2/uzKHaetV46n29M41z6AIxDOVcBDOwDWOM36yF5t60ADjfkdwZ/4+x5pKCGYZyLoIZ2AK1ZACEEmzIKRiGoZyLOwpbCEz2bYzEXyC+NR5yCqbxMBSciWAGMSdwOElSk1oyjadlMg4OINiQUzBM43YmghnElHCGk1JdnegmBtAmTON2JpYzQExpbjhJYkgJQOsFLoEgsQyC0/D1FjErcDhJomsYQOuFmsYN5yCYQUzw5sk0zo1hOAlApATLqTHGosYg4vikgOWYdg3ACqMWlujFW35Eb68DkDMDywXLkyE3BkA0pCR10oAstySprLyavBmHoGcGMcWbJ0NuDIBo8ObPnDpjuaQjU7V5v7E/emZgKWNM0DwZ3lgAREvjt5fcOcUatbBEhgQaW6NnBpYhVwaAFQKXP2CZA/ujZwaWCcyVIU8GQEfwDjWVFuVb3RRESEwEM4cPH9agQYOUkJCg9evX+z330Ucf6ZxzzlGXLl2UnZ2t+++/35pGIqpKi/KpxgmgwxyZqv39l6caTz1DTTYWE8HMHXfcoT59+jTZXl1dreHDhysnJ0dr167VvHnzdPfdd+vxxx+3oJWItMbvG6kuEvAAWIfcGXuzPJh5+eWXtWLFCj3wwANNnnvqqafk8Xj0xBNP6NRTT9XVV1+tW265RQ8++KAFLUUkGWM0amGJ1c0AEMcClzlgiQP7sjSYqays1Pjx47V06VKlpqY2eb6kpETnnnuuXC6Xb1tBQYE2b96sfftCJ40ePnxY1dXVfg/ElkO19SorP3JfBmS5yZUB0OHInXEOy4IZY4zGjh2rCRMmKDc3N+g+FRUVysjI8Nvm/bmioiLkuefOnau0tDTfIzs7O3INR8SRKwPAKoG5M7CniAczU6dOVUJCQrOPTZs2acGCBTpw4ICmTZsW6SZo2rRpqqqq8j127twZ8d+ByCGOAQC0R8Qn1U+ePFljx45tdp9+/frptddeU0lJiZKTk/2ey83N1XXXXaclS5YoMzNTlZWVfs97f87MzAx5/uTk5CbnRewILJQHALGC/F97ingw07t3b/Xu3bvF/f70pz9pzpw5vp/37NmjgoICPf300xo6dKgkKS8vT3fddZdqa2uVlJQkSVq5cqX69++vHj16BD0vYhuF8gDEMhaftCfLcmaOO+44nXbaab7HySefLEk64YQTdOyxx0qSrr32WrlcLo0bN04bN27U008/rfnz5+v222+3qtloJwrlAYg1LD5pfzFduzktLU0rVqxQYWGhhgwZol69emn69Om68cYbrW4aIqC0KF89u7r4BgTAUoGLT8J+YiaYOf7444MWKzrjjDP01ltvWdAiRAOF8gDEosZvReTN2I/lRfMQPyiUB8AOqARsPwQz6DAUygMQq8ibsTeCGViCQnkAYok3bwb2RDCDDtO415Y4BkCs4X3Jvghm0CHIlwEARAvBDDoE+TIA7KTGU08SsI0QzKDDkS8DINblzilmVpONEMwg6gLXYiKOARCLUpI6KTfn+6VySrfvY1aTTcRM0Tw4E2sxAbAL74ymrw96lDunWBIF9OyCnhlEFWsxAbCThIQEpbq+f49iqMke6JlBh2EtJgB24C2gV1Ze7Sugl+ri4zKW0TODqGItJgB2QwE9+yGYQdRQWwaAXfG9y14IZhA11JYBAHQEghl0CGrLAACihWAGHYI4BoBdUQ049hHMAADQDKoBxz6CGURFYNVfALATqgHbCxPnEXFU/QVgd1QDthd6ZhBxVP0F4ARUA7YPemYQVVT9BWBnVAO2B3pmEFGBuTJU/QVgZ1QDtgfCS0QMuTIAnKjx97EaT71SkviSFmvomUHEkCsDwOmYph2b6JlBVJArA8ApvNO0S//9Zc07TZvcmdhBzwyiglwZAE7hzZspLcr3bavx1KvGU0cPTYwgrAQAoAWB07S9tWdyc3qw9lwMoGcGEUHFXwBOF1gVWKIycKygZwbtxiwmAPHAO9x0qLZeNZ56X+8MrEcwg3ZjFhOAeHFkuMn/o7NxrzTTtq1BMIM2M8b4vqF4MYsJQLxp3ENDDo01CGbQJqGGlpjFBCAeBE7X9mLatjX410abBA4tSQwvAYgfjfNnJJFDYzGCGbRbaVG+Ul2dGCsGEFeC5c9I5NBYgWAGYfPmyEhqspgkXaoAcAQ5NB2PTyCEhenXABAaOTTW4l8XYQmWIyORJwMAEjk0ViOYQbNCTb/2lvVmPBgAjgiVQ4Po418dITU3/ZoXLACEx/tlkC9/0cMnEkJi+jUAtB+LUkYfwQzCwvRrAAhfsIRgkoGjh39RBBW4CjZDSwAQvlCLUhpjccMcKtHqBiD2eHNlyMQHgLbzJgR7J0xI0qiFJTJENBFHMIMmWAUbACInJamTBmS5JUll5dW+6duIHIIZNKu0KJ+ENQBoB++QE6KHYAZ+guXKEMgAQPvwNhpdZHTChyULAAB2RM8MfMiVAYDoq/HUkwQcYfTMIKjSonz17OpiiAkAIix3TjEF9CKMnhn4NP6iQK4MAESOt4iel7eAHiKDYAaSjuTLjFpYYnUzAMCRvDOaSovyrW6KIxHMQNKRfJmy8mpJ0oAsN7kyABBhR4ro8d4aDQQzaIJxXACIPhKBI4dgBk0QxwBA9OXOKWZ5gwghmEGTQnkAgOggETg6mJod5yiUBwAdx5sI/PVBD4v5RhA9M3GOQnkA0LFIBI48y4OZF198UUOHDlVKSop69OihkSNH+j2/Y8cOjRgxQqmpqUpPT9eUKVNUV1dnTWMdjkUlAQB2ZOkw07PPPqvx48fr3nvv1YUXXqi6ujpt2LDB93x9fb1GjBihzMxMrV69WuXl5br++uuVlJSke++918KWOxOF8gAAdmRZMFNXV6ff/va3mjdvnsaNG+fbPmDAAN//r1ixQmVlZSouLlZGRoYGDRqk2bNn684779Tdd98tl8tlRdMdhSR6ALAW78PtZ9kw0wcffKDdu3crMTFRZ555prKysnTJJZf49cyUlJTo9NNPV0ZGhm9bQUGBqqurtXHjxpDnPnz4sKqrq/0eaIqqvwBgPaZnt59lwcwXX3whSbr77rtVVFSkF154QT169ND555+vb775RpJUUVHhF8hI8v1cUVER8txz585VWlqa75GdnR2lq7A3qv4CgDVSkjppQJZbklRWXs307HaKeDAzdepUJSQkNPvYtGmTGhoaJEl33XWXrrjiCg0ZMkSLFi06Mm1t2bJ2tWHatGmqqqryPXbu3BmJS3M0En8BoON4p2gjMiKeMzN58mSNHTu22X369eun8vJySf45MsnJyerXr5927NghScrMzNT777/vd2xlZaXvuVCSk5OVnJzclubHLeIYAOhYvO9GTsSDmd69e6t3794t7jdkyBAlJydr8+bN+tGPfiRJqq2t1bZt25STkyNJysvL0z333KO9e/cqPT1dkrRy5Uq53W6/IAhtwxAtAMQG3o/bx7KcGbfbrQkTJmjGjBlasWKFNm/erIkTJ0qSRo0aJUkaPny4BgwYoNGjR+vDDz/U8uXLVVRUpMLCQnpe2onkXwCIHSQBt4+ldWbmzZunzp07a/To0Tp06JCGDh2q1157TT16HFm3olOnTnrhhRc0ceJE5eXlqWvXrhozZoxmzZplZbMdgeRfALCWNwm4rLzalwSc6mKVobZIMHEQClZXVystLU1VVVVyu91WNycm1HjqNGD6cknSxpkF6prMCwgAOtrBw3U6dcaR9+KyWQUEMwHC/fy2fDkDWKNxCEsSGgBYo/H7r/O7FqKHYCYOkS8DALGHvJm2I5iJQ+TLAEBsoHheZBDMxDmK5QGAdQKL59Ex0zYEM3HGGKMaz/eRP3EMAFir8fswQ01tQ9p0HDHG6BcLS7R2+z6rmwIA+DemaLcfPTNx5FBtvV8gk5vTg3wZALAY6zS1H6FfnCotylfPri7yZQAgBvBW3D70zMSpVFcnAhkAiEE1nnryZlqJYAYAgBiSO6eYROBWIpgBAMBiKUmdlJvTw/dz6fZ91JxpBYKZOBE4JRsAEDu8ScClRfm+bXTMhI9gJg54p2Tnzim2uikAgBASEhKU6vp+hilDTeEjmIkDTMkGAHtgeYO2IZiJM6VF+SxhAAAxipozbUMwE2eYkg0AsY236NYjmAEAIEZRcyY8BDMAAMQoas6Eh2DG4ZiSDQD2Qs2Z1mNtJgdjlWwAsB9vEvDXBz2U1AgTPTMOxpRsALCnwJozaB49M3GCVbIBwL5qPPVKSWI2aij0zDhUYK4MU7IBwL5IBG4ePTMORK4MANifNxG49N/v5d5E4FQXH92B6JlxIHJlAMD+gi0+ieAI7xyOXBkAsK/ARGBv+gD5M/4IZhyGXBkAcC7vVO3cnB6ss9cIwYyDkCsDAM4TmDsjkT8TiH8FByFXBgCcx5s7c6i2XjWeegrpBUEw41DkygCAcxzJnfH/yCZ/5nsEMw5BrgwAxBfyZ75HMOMA5MoAQHwgfya4+L1yByFXBgDiA/kzwRHMOAy5MgDgbOTPNEUwY1PGGB2qPfLHS64MAMS3eM+fIZixIXJkAADkz3wvvq7WIQJzZLzIlQGA+EH+zPcIZmyutCjft25HvI6VAkC8CpU/E2+fB6yabSNHasnUNcmRSXV1Vqqrc1z94QIAgsudU6xRC0tkjLG6KR2GnhmbIE8GABBKYP5MvOXO0DNjE8HyZMiRAQBI3+fPlBblW90US8RHyOYw3jyZeBsTBQCEdiR/5vsvuPGUO0PPjE00Hvr05snEwx8oAKBt4il3hmDGBowxGrWwxOpmAABinDd3xsubO+N0BDM2cKi2XmXl1ZKkAVlu8mQAAEHFa+4MwYzNxGOZagBA+AJzZ+IBwUyMO1Jb5vsuQuIYAEBrxEHKDMFMLPPWlonnEtUAgPaJhyRggpkYFlhbhroyAIBwpCR10oAstySprLza8UnABDMxrHEgXVqUT74MACAs3kTgeEEwE6MCp2OnuuKj8BEAIDIaf2TUeOodPdREMBOjmI4NAIgUpxfQI5ixAYaXAACtFU8F9AhmbIA4BgDQWvFUQI9gBgAAh4qXAnoEMzEosFAeAAAIrbPVDYA/b6G8xvVlAACIBIfm/1rbM/Ppp5/q8ssvV69eveR2u/WjH/1Ir7/+ut8+O3bs0IgRI5Samqr09HRNmTJFdXV1FrU4+iiUBwCIFqfOaLI0mLn00ktVV1en1157TWvXrtXAgQN16aWXqqKiQpJUX1+vESNGyOPxaPXq1VqyZIkWL16s6dOnW9nsDkOhPABAe8VDNWDLgpmvvvpKn332maZOnaozzjhDJ510ku677z7V1NRow4YNkqQVK1aorKxMTz75pAYNGqRLLrlEs2fP1sMPPyyPx2NV06OqccBMoTwAQHvFQzVgy4KZnj17qn///vqf//kfHTx4UHV1dXrssceUnp6uIUOGSJJKSkp0+umnKyMjw3dcQUGBqqurtXHjxpDnPnz4sKqrq/0edhBY9RcAgEhw+vdiyxKAExISVFxcrJEjR6pbt25KTExUenq6XnnlFfXocaTIT0VFhV8gI8n3s3coKpi5c+dq5syZ0Wt8lFD1FwAQbTWeeqUkOavnP+I9M1OnTlVCQkKzj02bNskYo8LCQqWnp+utt97S+++/r5EjR+qnP/2pysvL29WGadOmqaqqyvfYuXNnhK6u45ArAwCIBicubRDxnpnJkydr7Nixze7Tr18/vfbaa3rhhRe0b98+ud1HEpMeeeQRrVy5UkuWLNHUqVOVmZmp999/3+/YyspKSVJmZmbI8ycnJys5Obl9F2Ix4hgAQKR4lzYo/fdsWe/SBqkuZ1RoifhV9O7dW717925xv5qaGklSYqJ/51BiYqIaGhokSXl5ebrnnnu0d+9epaenS5JWrlwpt9utAQMGRLjlAAA4kzcJ+OuDHuXOKba6ORFnWQJwXl6eevTooTFjxujDDz/Up59+qilTpmjr1q0aMWKEJGn48OEaMGCARo8erQ8//FDLly9XUVGRCgsLbd/zAgBAR3Ly0gaWBTO9evXSK6+8om+//VYXXnihcnNz9fbbb+v555/XwIEDJUmdOnXSCy+8oE6dOikvL0+//OUvdf3112vWrFlWNRsAAMQYSwfLcnNztXz58mb3ycnJ0UsvvdRBLbKWg3KxAADoMCw0GSOoMQMAQNsQzMQIaswAANA2BDMxiBozAACEj2AmRjTOlyGOAQAgfAQzMYB8GQBAR6vx1DumCjDBTAwgXwYA0NGctKwBwUwMaPx3RL4MACBavMsaeHmXNbA7ghmLBQ4xEccAAKLFu6xBaVG+1U2JKIIZizHEBADoSIHLGjhglIlgJpYwxAQA6GhOyJshmIkhxDEAgI6QktRJA7LckqSy8mrb580QzFjIGKMaj73/gAAA9uPNnXEKSxeajGfGGP1iYYnWbt9ndVMAAHGo8WiAzUeZ6JmxyqHaer9AJjenB8m/AABL2D1vhp6ZGFBalK+eXV0k/wIAOow3b6asvNqXN5PqsmdYQM9MDEh1dSKQAQB0KCflzRDMWMTGvXkAAIdwyvdoghkLsLAkAACRQzBjAar+AgBijZ1HDAhmLEbVXwBALLDzjCaCGQs0/lshjgEAWMUplYAJZjoY+TIAgFjhlBlNBDMdjHwZAEAscUIlYIIZC5EvAwCIJXbNmyGYsRBxDADAak7ImyGYAQAgjgXmzdR46m3XO0Mw04GMMarx2C/iBQA4W+ORgtw5xbYbbrLnilI2ZIzRLxaW+K2UDQBALEhJ6qTcnB4q/fdnVOn2fbZaeJKemQ5yqLbeL5DJzenBTCYAQEzwDjWVFuVb3ZQ2sUfI5TClRfnq2dXFTCYAQMxISEhQqsueX7LpmekgjYceU12dCGQAADHNTonABDMdgKq/AAC7sVMiMMFMB6DqLwDADryJwF7eROBYRzDTwaj6CwCIVXZNBCaYibLA2jLEMQCAWBaYCGyDUSaCmWjy1pbJnVNsdVMAAGgTO+TNEMxEEbVlAAB2ZLf1mghmoiRweKm0KJ98GQCALQRbr6nGUxezPTQUzYuCYEsXUFsGAGAnges1SUdGGGLxizk9M1HA8BIAwO4Cp2lLsTtVm56ZKGPpAgCAHXmHmg7V1qvGUx/Tk1kIZiIsMFeG4SUAgF0dmabtHyrUeOqVkhRbn20EMxEULFcGAAAnyZ1THHO5M+TMRBC5MgAAJ4r1ZQ7omYkScmUAAE7hzZ/5+qAnJnNnCGYiwBjjS5DyIlcGAOAkgcsceD/zYiF/hmCmnciTAQDEo1iqPUPOTDsF5slI5MoAAJwpVmvP0DMTQaVF+Up1dYqJLjcAACItVmvPEMy0kTdPZu02/yULAufjAwDgJLFYe4ZP3jY6VFuvAdOXW90MAAAslzunWGWzCiz7Qk/OTISQJwMAiCfB8meskmBidT3vCKqurlZaWpqqqqrkdrsjck7vMJMXeTIAgHjT+LMwGp+D4X5+M8zURsHGDAEAiCex8lnIMBMAALA1ghkAAGBrBDMAAMDWohbM3HPPPRo2bJhSU1PVvXv3oPvs2LFDI0aMUGpqqtLT0zVlyhTV1dX57bNq1SoNHjxYycnJOvHEE7V48eJoNRkAANhQ1IIZj8ejUaNGaeLEiUGfr6+v14gRI+TxeLR69WotWbJEixcv1vTp0337bN26VSNGjNAFF1yg9evX69Zbb9UNN9yg5cup7wIAAI6I+tTsxYsX69Zbb9X+/fv9tr/88su69NJLtWfPHmVkZEiSFi5cqDvvvFNffvmlXC6X7rzzTr344ovasGGD77irr75a+/fv1yuvvBJ2G6IxNRsAAERXuJ/fluXMlJSU6PTTT/cFMpJUUFCg6upqbdy40bdPfn6+33EFBQUqKSlp9tyHDx9WdXW13wMAADiTZcFMRUWFXyAjyfdzRUVFs/tUV1fr0KFDIc89d+5cpaWl+R7Z2dkRbj0AAIgVrQpmpk6dqoSEhGYfmzZtilZbwzZt2jRVVVX5Hjt37rS6SQAAIEpaVbZv8uTJGjt2bLP79OvXL6xzZWZm6v333/fbVllZ6XvO+1/vtsb7uN1upaSkhDx3cnKykpOTw2oHAACwt1YFM71791bv3r0j8ovz8vJ0zz33aO/evUpPT5ckrVy5Um63WwMGDPDt89JLL/kdt3LlSuXl5UWkDQAAwP6iljOzY8cOrV+/Xjt27FB9fb3Wr1+v9evX69tvv5UkDR8+XAMGDNDo0aP14Ycfavny5SoqKlJhYaGvV2XChAn64osvdMcdd2jTpk165JFH9Mwzz+i2226LVrMBAIDNRG1q9tixY7VkyZIm219//XWdf/75kqTt27dr4sSJWrVqlbp27aoxY8bovvvuU+fO33cYrVq1SrfddpvKysp07LHH6ne/+12LQ12BmJoNAID9hPv5HfU6M7GAYAYAAPsJ9/Pb+nW7O4A3XqPeDAAA9uH93G6p3yUugpkDBw5IEvVmAACwoQMHDigtLS3k83ExzNTQ0KA9e/aoW7duSkhIiMg5q6urlZ2drZ07dzp26Mrp1+j065Ocf41Ovz7J+dfo9OuTnH+N0bw+Y4wOHDigPn36KDEx9JyluOiZSUxM1LHHHhuVc7vdbkf+cTbm9Gt0+vVJzr9Gp1+f5PxrdPr1Sc6/xmhdX3M9Ml6WLWcAAAAQCQQzAADA1ghm2ig5OVkzZsxw9LIJTr9Gp1+f5PxrdPr1Sc6/Rqdfn+T8a4yF64uLBGAAAOBc9MwAAABbI5gBAAC2RjADAABsjWAGAADYGsFMCPfcc4+GDRum1NRUde/ePeg+O3bs0IgRI5Samqr09HRNmTJFdXV1zZ73m2++0XXXXSe3263u3btr3Lhx+vbbb6NwBa2zatUqJSQkBH2sWbMm5HHnn39+k/0nTJjQgS1vneOPP75Je++7775mj/nuu+9UWFionj176qijjtIVV1yhysrKDmpx+LZt26Zx48apb9++SklJ0QknnKAZM2bI4/E0e1ys38OHH35Yxx9/vLp06aKhQ4fq/fffb3b/ZcuW6ZRTTlGXLl10+umn66WXXuqglrbe3Llz9cMf/lDdunVTenq6Ro4cqc2bNzd7zOLFi5vcry5dunRQi1vn7rvvbtLWU045pdlj7HT/pODvKQkJCSosLAy6f6zfvzfffFM//elP1adPHyUkJOi5557ze94Yo+nTpysrK0spKSnKz8/XZ5991uJ5W/s6bi2CmRA8Ho9GjRqliRMnBn2+vr5eI0aMkMfj0erVq7VkyRItXrxY06dPb/a81113nTZu3KiVK1fqhRde0Jtvvqkbb7wxGpfQKsOGDVN5ebnf44YbblDfvn2Vm5vb7LHjx4/3O+7+++/voFa3zaxZs/zae/PNNze7/2233aZ//etfWrZsmd544w3t2bNHP//5zzuoteHbtGmTGhoa9Nhjj2njxo166KGHtHDhQv3Xf/1Xi8fG6j18+umndfvtt2vGjBn64IMPNHDgQBUUFGjv3r1B91+9erWuueYajRs3TuvWrdPIkSM1cuRIbdiwoYNbHp433nhDhYWFevfdd7Vy5UrV1tZq+PDhOnjwYLPHud1uv/u1ffv2Dmpx65166ql+bX377bdD7mu3+ydJa9as8bu+lStXSpJGjRoV8phYvn8HDx7UwIED9fDDDwd9/v7779ef/vQnLVy4UO+99566du2qgoICfffddyHP2drXcZsYNGvRokUmLS2tyfaXXnrJJCYmmoqKCt+2Rx991LjdbnP48OGg5yorKzOSzJo1a3zbXn75ZZOQkGB2794d8ba3h8fjMb179zazZs1qdr/zzjvP/Pa3v+2YRkVATk6Oeeihh8Lef//+/SYpKcksW7bMt+2TTz4xkkxJSUkUWhhZ999/v+nbt2+z+8TyPTzrrLNMYWGh7+f6+nrTp08fM3fu3KD7X3nllWbEiBF+24YOHWpuuummqLYzUvbu3WskmTfeeCPkPqHek2LRjBkzzMCBA8Pe3+73zxhjfvvb35oTTjjBNDQ0BH3eTvdPkvnHP/7h+7mhocFkZmaaefPm+bbt37/fJCcnm//7v/8LeZ7Wvo7bgp6ZNiopKdHpp5+ujIwM37aCggJVV1dr48aNIY/p3r27X09Hfn6+EhMT9d5770W9za3xz3/+U19//bV+9atftbjvU089pV69eum0007TtGnTVFNT0wEtbLv77rtPPXv21Jlnnql58+Y1OzS4du1a1dbWKj8/37ftlFNO0XHHHaeSkpKOaG67VFVV6eijj25xv1i8hx6PR2vXrvX7t09MTFR+fn7If/uSkhK//aUjr0s73CvpyP2S1OI9+/bbb5WTk6Ps7GxdfvnlId9zYsFnn32mPn36qF+/frruuuu0Y8eOkPva/f55PB49+eST+vWvf93sosZ2un+Nbd26VRUVFX73KC0tTUOHDg15j9ryOm6LuFhoMhoqKir8AhlJvp8rKipCHpOenu63rXPnzjr66KNDHmOVv/zlLyooKGhxgc5rr71WOTk56tOnjz766CPdeeed2rx5s/7+9793UEtb55ZbbtHgwYN19NFHa/Xq1Zo2bZrKy8v14IMPBt2/oqJCLperSd5URkZGzN2zQFu2bNGCBQv0wAMPNLtfrN7Dr776SvX19UFfZ5s2bQp6TKjXZazfK0lqaGjQrbfeqv/4j//QaaedFnK//v3764knntAZZ5yhqqoqPfDAAxo2bJg2btwYtQV122ro0KFavHix+vfvr/Lycs2cOVPnnHOONmzYoG7dujXZ3873T5Kee+457d+/X2PHjg25j53uXyDvfWjNPWrL67gt4iqYmTp1qn7/+983u88nn3zSYoKanbTlmnft2qXly5frmWeeafH8jfN9Tj/9dGVlZemiiy7S559/rhNOOKHtDW+F1lzj7bff7tt2xhlnyOVy6aabbtLcuXNjttR4W+7h7t27dfHFF2vUqFEaP358s8fGwj2EVFhYqA0bNjSbUyJJeXl5ysvL8/08bNgw/eAHP9Bjjz2m2bNnR7uZrXLJJZf4/v+MM87Q0KFDlZOTo2eeeUbjxo2zsGXR8Ze//EWXXHKJ+vTpE3IfO90/O4mrYGby5MnNRsyS1K9fv7DOlZmZ2SQb2zvDJTMzM+QxgQlPdXV1+uabb0Ie015tueZFixapZ8+euuyyy1r9+4YOHSrpSK9AR30Qtue+Dh06VHV1ddq2bZv69+/f5PnMzEx5PB7t37/fr3emsrIyavcsUGuvb8+ePbrgggs0bNgwPf74463+fVbcw2B69eqlTp06NZk51ty/fWZmZqv2jxWTJk3yTQho7bfzpKQknXnmmdqyZUuUWhc53bt318knnxyyrXa9f5K0fft2FRcXt7pH0073z3sfKisrlZWV5dteWVmpQYMGBT2mLa/jNolY9o1DtZQAXFlZ6dv22GOPGbfbbb777rug5/ImAJeWlvq2LV++PKYSgBsaGkzfvn3N5MmT23T822+/bSSZDz/8MMIti44nn3zSJCYmmm+++Sbo894E4L/97W++bZs2bYrZBOBdu3aZk046yVx99dWmrq6uTeeIpXt41llnmUmTJvl+rq+vN8ccc0yzCcCXXnqp37a8vLyYTSBtaGgwhYWFpk+fPubTTz9t0znq6upM//79zW233Rbh1kXegQMHTI8ePcz8+fODPm+3+9fYjBkzTGZmpqmtrW3VcbF8/xQiAfiBBx7wbauqqgorAbg1r+M2tTViZ3KY7du3m3Xr1pmZM2eao446yqxbt86sW7fOHDhwwBhz5A/wtNNOM8OHDzfr1683r7zyiundu7eZNm2a7xzvvfee6d+/v9m1a5dv28UXX2zOPPNM895775m3337bnHTSSeaaa67p8OsLpbi42Egyn3zySZPndu3aZfr372/ee+89Y4wxW7ZsMbNmzTKlpaVm69at5vnnnzf9+vUz5557bkc3OyyrV682Dz30kFm/fr35/PPPzZNPPml69+5trr/+et8+gddojDETJkwwxx13nHnttddMaWmpycvLM3l5eVZcQrN27dplTjzxRHPRRReZXbt2mfLyct+j8T52uod//etfTXJyslm8eLEpKyszN954o+nevbtvFuHo0aPN1KlTffu/8847pnPnzuaBBx4wn3zyiZkxY4ZJSkoyH3/8sVWX0KyJEyeatLQ0s2rVKr/7VVNT49sn8Bpnzpxpli9fbj7//HOzdu1ac/XVV5suXbqYjRs3WnEJzZo8ebJZtWqV2bp1q3nnnXdMfn6+6dWrl9m7d68xxv73z6u+vt4cd9xx5s4772zynN3u34EDB3yfd5LMgw8+aNatW2e2b99ujDHmvvvuM927dzfPP/+8+eijj8zll19u+vbtaw4dOuQ7x4UXXmgWLFjg+7ml13EkEMyEMGbMGCOpyeP111/37bNt2zZzySWXmJSUFNOrVy8zefJkv6j89ddfN5LM1q1bfdu+/vprc80115ijjjrKuN1u86tf/coXIMWCa665xgwbNizoc1u3bvX7N9ixY4c599xzzdFHH22Sk5PNiSeeaKZMmWKqqqo6sMXhW7t2rRk6dKhJS0szXbp0MT/4wQ/Mvffe69eTFniNxhhz6NAh85vf/Mb06NHDpKammp/97Gd+AUKsWLRoUdC/2cYdsHa8hwsWLDDHHXeccblc5qyzzjLvvvuu77nzzjvPjBkzxm//Z555xpx88snG5XKZU0891bz44osd3OLwhbpfixYt8u0TeI233nqr798jIyPD/OQnPzEffPBBxzc+DFdddZXJysoyLpfLHHPMMeaqq64yW7Zs8T1v9/vntXz5ciPJbN68uclzdrt/3s+twIf3GhoaGszvfvc7k5GRYZKTk81FF13U5LpzcnLMjBkz/LY19zqOhARjjIncoBUAAEDHos4MAACwNYIZAABgawQzAADA1ghmAACArRHMAAAAWyOYAQAAtkYwAwAAbI1gBgAA2BrBDAAAsDWCGQAAYGsEMwBs58svv1RmZqbuvfde37bVq1fL5XLp1VdftbBlAKzA2kwAbOmll17SyJEjtXr1avXv31+DBg3S5ZdfrgcffNDqpgHoYAQzAGyrsLBQxcXFys3N1ccff6w1a9YoOTnZ6mYB6GAEMwBs69ChQzrttNO0c+dOrV27VqeffrrVTQJgAXJmANjW559/rj179qihoUHbtm2zujkALELPDABb8ng8OuusszRo0CD1799ff/zjH/Xxxx8rPT3d6qYB6GAEMwBsacqUKfrb3/6mDz/8UEcddZTOO+88paWl6YUXXrC6aQA6GMNMAGxn1apV+uMf/6ilS5fK7XYrMTFRS5cu1VtvvaVHH33U6uYB6GD0zAAAAFujZwYAANgawQwAALA1ghkAAGBrBDMAAMDWCGYAAICtEcwAAABbI5gBAAC2RjADAABsjWAGAADYGsEMAACwNYIZAABgawQzAADA1v4f99PnPTOwMA4AAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -4101,13 +3461,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-10.0, -9.44)\": -3.0, \"(-9.44, -8.89)\": -2.939, \"(-8.89, -8.34)\": -2.879, \"(-8.34, -7.86)\": -2.817, \"(-7.86, -7.38)\": -2.756, \"(-7.38, -6.91)\": -2.695, \"(-6.91, -6.5)\": -2.628, \"(-6.5, -6.09)\": -2.568, \"(-6.09, -5.72)\": -2.505, \"(-5.72, -5.38)\": -2.444, \"(-5.38, -5.07)\": -2.384, \"(-5.07, -4.73)\": -2.32, \"(-4.73, -4.45)\": -2.257, \"(-4.45, -4.17)\": -2.196, \"(-4.17, -3.89)\": -2.131, \"(-3.89, -3.65)\": -2.067, \"(-3.65, -3.42)\": -2.005, \"(-3.42, -3.22)\": -1.942, \"(-3.22, -3.01)\": -1.881, \"(-3.01, -2.81)\": -1.817, \"(-2.81, -2.63)\": -1.751, \"(-2.63, -2.44)\": -1.686, \"(-2.44, -2.29)\": -1.625, \"(-2.29, -2.14)\": -1.559, \"(-2.14, -1.98)\": -1.494, \"(-1.98, -1.83)\": -1.423, \"(-1.83, -1.69)\": -1.36, \"(-1.69, -1.57)\": -1.294, \"(-1.57, -1.45)\": -1.227, \"(-1.45, -1.35)\": -1.166, \"(-1.35, -1.23)\": -1.105, \"(-1.23, -1.13)\": -1.035, \"(-1.13, -1.02)\": -0.959, \"(-1.02, -0.95)\": -0.889, \"(-0.95, -0.81)\": -0.811, \"(-0.81, -0.7)\": -0.719, \"(-0.7, -0.63)\": -0.635, \"(-0.63, -0.53)\": -0.571, \"(-0.53, -0.46)\": -0.49, \"(-0.46, -0.4)\": -0.43, \"(-0.4, -0.3)\": -0.365, \"(-0.3, -0.2)\": -0.265, \"(-0.2, -0.14)\": -0.179, \"(-0.14, -0.05)\": -0.109, \"(-0.05, 0.02)\": -0.042, \"(0.02, 0.09)\": 0.024, \"(0.09, 0.18)\": 0.115, \"(0.18, 0.26)\": 0.186, \"(0.26, 0.31)\": 0.264, \"(0.31, 0.41)\": 0.328, \"(0.41, 0.46)\": 0.404, \"(0.46, 0.55)\": 0.467, \"(0.55, 0.64)\": 0.534, \"(0.64, 0.72)\": 0.6, \"(0.72, 0.81)\": 0.691, \"(0.81, 0.88)\": 0.76, \"(0.88, 1.0)\": 0.822, \"(1.0, 1.11)\": 0.887, \"(1.11, 1.21)\": 0.964, \"(1.21, 1.32)\": 1.03, \"(1.32, 1.42)\": 1.098, \"(1.42, 1.56)\": 1.162, \"(1.56, 1.66)\": 1.23, \"(1.66, 1.8)\": 1.29, \"(1.8, 1.95)\": 1.358, \"(1.95, 2.08)\": 1.426, \"(2.08, 2.22)\": 1.487, \"(2.22, 2.41)\": 1.549, \"(2.41, 2.59)\": 1.614, \"(2.59, 2.77)\": 1.684, \"(2.77, 2.98)\": 1.745, \"(2.98, 3.17)\": 1.811, \"(3.17, 3.41)\": 1.88, \"(3.41, 3.62)\": 1.944, \"(3.62, 3.85)\": 2.005, \"(3.85, 4.15)\": 2.066, \"(4.15, 4.45)\": 2.137, \"(4.45, 4.74)\": 2.2, \"(4.74, 5.06)\": 2.262, \"(5.06, 5.39)\": 2.326, \"(5.39, 5.73)\": 2.387, \"(5.73, 6.14)\": 2.451, \"(6.14, 6.49)\": 2.513, \"(6.49, 6.93)\": 2.573, \"(6.93, 7.37)\": 2.637, \"(7.37, 7.83)\": 2.697, \"(7.83, 8.34)\": 2.758, \"(8.34, 8.88)\": 2.818, \"(8.88, 9.45)\": 2.879, \"(9.45, 9.99)\": 2.943}\n", + "Means: {\"(-9.95, -9.85)\": -96.98, \"(-9.85, -9.74)\": -95.94, \"(-9.74, -9.63)\": -94.8, \"(-9.63, -9.56)\": -93.65, \"(-9.56, -9.47)\": -92.65, \"(-9.47, -9.41)\": -91.44, \"(-9.41, -9.35)\": -90.41, \"(-9.35, -9.29)\": -88.54, \"(-9.29, -9.23)\": -87.51, \"(-9.23, -9.17)\": -86.02, \"(-9.17, -9.13)\": -84.45, \"(-9.13, -9.09)\": -83.41, \"(-9.09, -9.05)\": -82.37, \"(-9.05, -9.01)\": -81.27, \"(-9.01, -8.97)\": -80.15, \"(-8.97, -8.91)\": -78.95, \"(-8.91, -8.85)\": -77.18, \"(-8.85, -8.77)\": -76.12, \"(-8.77, -8.71)\": -74.93, \"(-8.71, -8.59)\": -73.81, \"(-8.59, -8.43)\": -72.61, \"(-8.43, -8.3)\": -71.49, \"(-8.3, -8.24)\": -70.38, \"(-8.24, -8.14)\": -69.26, \"(-8.14, -8.06)\": -67.86, \"(-8.06, -7.96)\": -66.05, \"(-7.96, -7.9)\": -63.79, \"(-7.9, -7.86)\": -62.77, \"(-7.86, -7.8)\": -61.37, \"(-7.8, -7.74)\": -59.93, \"(-7.74, -7.68)\": -58.47, \"(-7.68, -7.61)\": -57.05, \"(-7.61, -7.54)\": -55.93, \"(-7.54, -7.46)\": -54.73, \"(-7.46, -7.3)\": -53.6, \"(-7.3, -7.12)\": -52.57, \"(-7.12, -6.98)\": -51.57, \"(-6.98, -6.89)\": -50.52, \"(-6.89, -6.83)\": -48.97, \"(-6.83, -6.73)\": -47.74, \"(-6.73, -6.67)\": -45.99, \"(-6.67, -6.6)\": -44.77, \"(-6.6, -6.55)\": -43.47, \"(-6.55, -6.5)\": -42.24, \"(-6.5, -6.44)\": -41.21, \"(-6.44, -6.37)\": -39.75, \"(-6.37, -6.29)\": -38.54, \"(-6.29, -6.17)\": -37.43, \"(-6.17, -5.89)\": -36.3, \"(-5.89, -5.67)\": -35.29, \"(-5.67, -5.58)\": -33.99, \"(-5.58, -5.51)\": -32.85, \"(-5.51, -5.45)\": -31.78, \"(-5.45, -5.41)\": -30.53, \"(-5.41, -5.33)\": -29.17, \"(-5.33, -5.28)\": -28.01, \"(-5.28, -5.21)\": -26.99, \"(-5.21, -5.14)\": -25.71, \"(-5.14, -5.06)\": -24.57, \"(-5.06, -4.9)\": -23.55, \"(-4.9, -4.42)\": -22.46, \"(-4.42, -4.31)\": -21.33, \"(-4.31, -4.24)\": -20.29, \"(-4.24, -4.18)\": -19.11, \"(-4.18, -4.11)\": -18.08, \"(-4.11, -4.05)\": -16.94, \"(-4.05, -3.97)\": -15.81, \"(-3.97, -3.93)\": -14.65, \"(-3.93, -3.8)\": -13.56, \"(-3.8, -3.08)\": -12.39, \"(-3.08, -3.0)\": -11.33, \"(-3.0, -2.9)\": -10.23, \"(-2.9, -2.81)\": -8.88, \"(-2.81, -2.75)\": -7.5, \"(-2.75, -2.64)\": -6.39, \"(-2.64, -2.43)\": -5.24, \"(-2.43, -2.12)\": -4.21, \"(-2.12, -1.73)\": -5.32, \"(-1.73, -1.65)\": -4.3, \"(-1.65, -1.5)\": -3.09, \"(-1.5, -1.36)\": -1.18, \"(-1.36, -0.93)\": -0.05, \"(-0.93, -0.75)\": -1.09, \"(-0.75, -0.41)\": -2.13, \"(-0.41, -0.32)\": -1.04, \"(-0.32, -0.18)\": 0.09, \"(-0.18, 0.27)\": 1.33, \"(0.27, 0.39)\": 0.24, \"(0.39, 0.57)\": -1.15, \"(0.57, 0.91)\": -2.18, \"(0.91, 1.03)\": -1.13, \"(1.03, 1.46)\": -0.12, \"(1.46, 1.55)\": -1.15, \"(1.55, 1.63)\": -2.15, \"(1.63, 1.73)\": -3.38, \"(1.73, 1.94)\": -4.53, \"(1.94, 2.23)\": -5.55, \"(2.23, 2.67)\": -4.53, \"(2.67, 2.75)\": -5.81, \"(2.75, 2.82)\": -6.89, \"(2.82, 2.89)\": -8.04, \"(2.89, 2.99)\": -9.27, \"(2.99, 3.12)\": -10.58, \"(3.12, 3.84)\": -11.76, \"(3.84, 3.94)\": -13.15, \"(3.94, 4.0)\": -14.39, \"(4.0, 4.08)\": -15.6, \"(4.08, 4.13)\": -16.82, \"(4.13, 4.23)\": -18.17, \"(4.23, 4.3)\": -19.3, \"(4.3, 4.4)\": -20.35, \"(4.4, 4.82)\": -21.42, \"(4.82, 5.05)\": -22.45, \"(5.05, 5.15)\": -23.97, \"(5.15, 5.21)\": -25.05, \"(5.21, 5.27)\": -26.11, \"(5.27, 5.33)\": -27.31, \"(5.33, 5.41)\": -28.78, \"(5.41, 5.46)\": -30.19, \"(5.46, 5.56)\": -31.24, \"(5.56, 5.66)\": -33.01, \"(5.66, 5.8)\": -34.05, \"(5.8, 6.13)\": -35.09, \"(6.13, 6.27)\": -36.25, \"(6.27, 6.33)\": -37.35, \"(6.33, 6.4)\": -38.37, \"(6.4, 6.48)\": -39.44, \"(6.48, 6.54)\": -41.22, \"(6.54, 6.6)\": -42.3, \"(6.6, 6.66)\": -44.11, \"(6.66, 6.73)\": -45.14, \"(6.73, 6.8)\": -46.96, \"(6.8, 6.86)\": -47.98, \"(6.86, 6.93)\": -49.08, \"(6.93, 7.05)\": -50.11, \"(7.05, 7.24)\": -51.35, \"(7.24, 7.43)\": -52.38, \"(7.43, 7.54)\": -53.78, \"(7.54, 7.59)\": -54.8, \"(7.59, 7.69)\": -56.4, \"(7.69, 7.76)\": -57.89, \"(7.76, 7.83)\": -59.98, \"(7.83, 7.89)\": -61.57, \"(7.89, 7.91)\": -62.59, \"(7.91, 7.97)\": -63.66, \"(7.97, 8.02)\": -64.94, \"(8.02, 8.08)\": -66.03, \"(8.08, 8.16)\": -67.24, \"(8.16, 8.25)\": -68.84, \"(8.25, 8.39)\": -70.1, \"(8.39, 8.51)\": -71.25, \"(8.51, 8.65)\": -72.26, \"(8.65, 8.73)\": -73.48, \"(8.73, 8.83)\": -74.78, \"(8.83, 8.87)\": -76.13, \"(8.87, 8.95)\": -77.27, \"(8.95, 9.0)\": -79.2, \"(9.0, 9.08)\": -80.73, \"(9.08, 9.18)\": -83.81, \"(9.18, 9.22)\": -85.13, \"(9.22, 9.28)\": -86.23, \"(9.28, 9.34)\": -87.95, \"(9.34, 9.39)\": -89.12, \"(9.39, 9.45)\": -90.15, \"(9.45, 9.53)\": -91.48, \"(9.53, 9.61)\": -92.6, \"(9.61, 9.71)\": -93.6, \"(9.71, 9.83)\": -94.73, \"(9.83, 9.92)\": -95.84, \"(9.92, 10.0)\": -97.07}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4117,7 +3477,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4133,13 +3493,13 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-10.0, -7.71)\": -1.472, \"(-7.71, -6.33)\": -1.442, \"(-6.33, -5.19)\": -1.412, \"(-5.19, -4.51)\": -1.382, \"(-4.51, -3.93)\": -1.352, \"(-3.93, -3.5)\": -1.322, \"(-3.5, -3.14)\": -1.292, \"(-3.14, -2.83)\": -1.26, \"(-2.83, -2.53)\": -1.229, \"(-2.53, -2.33)\": -1.195, \"(-2.33, -2.16)\": -1.165, \"(-2.16, -1.98)\": -1.132, \"(-1.98, -1.85)\": -1.101, \"(-1.85, -1.71)\": -1.071, \"(-1.71, -1.59)\": -1.04, \"(-1.59, -1.44)\": -0.998, \"(-1.44, -1.33)\": -0.955, \"(-1.33, -1.24)\": -0.92, \"(-1.24, -1.18)\": -0.891, \"(-1.18, -1.08)\": -0.861, \"(-1.08, -1.02)\": -0.814, \"(-1.02, -0.94)\": -0.782, \"(-0.94, -0.89)\": -0.749, \"(-0.89, -0.81)\": -0.718, \"(-0.81, -0.76)\": -0.682, \"(-0.76, -0.73)\": -0.652, \"(-0.73, -0.64)\": -0.619, \"(-0.64, -0.59)\": -0.557, \"(-0.59, -0.53)\": -0.525, \"(-0.53, -0.46)\": -0.46, \"(-0.46, -0.42)\": -0.429, \"(-0.42, -0.37)\": -0.388, \"(-0.37, -0.31)\": -0.335, \"(-0.31, -0.25)\": -0.275, \"(-0.25, -0.21)\": -0.233, \"(-0.21, -0.17)\": -0.193, \"(-0.17, -0.12)\": -0.146, \"(-0.12, -0.07)\": -0.097, \"(-0.07, -0.01)\": -0.061, \"(-0.01, 0.07)\": 0.039, \"(0.07, 0.12)\": 0.101, \"(0.12, 0.15)\": 0.134, \"(0.15, 0.18)\": 0.165, \"(0.18, 0.27)\": 0.208, \"(0.27, 0.39)\": 0.33, \"(0.39, 0.44)\": 0.385, \"(0.44, 0.48)\": 0.416, \"(0.48, 0.52)\": 0.455, \"(0.52, 0.58)\": 0.485, \"(0.58, 0.66)\": 0.533, \"(0.66, 0.73)\": 0.605, \"(0.73, 0.79)\": 0.639, \"(0.79, 0.85)\": 0.673, \"(0.85, 0.91)\": 0.713, \"(0.91, 0.95)\": 0.744, \"(0.95, 1.04)\": 0.774, \"(1.04, 1.12)\": 0.809, \"(1.12, 1.21)\": 0.852, \"(1.21, 1.29)\": 0.882, \"(1.29, 1.41)\": 0.918, \"(1.41, 1.49)\": 0.95, \"(1.49, 1.57)\": 0.98, \"(1.57, 1.71)\": 1.01, \"(1.71, 1.84)\": 1.043, \"(1.84, 2.0)\": 1.074, \"(2.0, 2.18)\": 1.11, \"(2.18, 2.38)\": 1.144, \"(2.38, 2.6)\": 1.176, \"(2.6, 2.84)\": 1.206, \"(2.84, 3.18)\": 1.237, \"(3.18, 3.55)\": 1.268, \"(3.55, 4.04)\": 1.298, \"(4.04, 4.55)\": 1.329, \"(4.55, 5.41)\": 1.359, \"(5.41, 6.54)\": 1.389, \"(6.54, 8.14)\": 1.419, \"(8.14, 9.96)\": 1.449}\n", + "Means: {\"(-9.98, -9.92)\": -119.8, \"(-9.92, -9.86)\": -118.3, \"(-9.86, -9.69)\": -116.7, \"(-9.69, -9.51)\": -112.0, \"(-9.51, -9.42)\": -109.8, \"(-9.42, -9.33)\": -108.4, \"(-9.33, -9.27)\": -106.7, \"(-9.27, -9.15)\": -105.3, \"(-9.15, -9.07)\": -103.4, \"(-9.07, -8.96)\": -101.8, \"(-8.96, -8.87)\": -99.9, \"(-8.87, -8.78)\": -98.3, \"(-8.78, -8.68)\": -96.9, \"(-8.68, -8.58)\": -95.1, \"(-8.58, -8.48)\": -93.4, \"(-8.48, -8.39)\": -91.9, \"(-8.39, -8.29)\": -90.1, \"(-8.29, -8.2)\": -88.5, \"(-8.2, -8.1)\": -87.1, \"(-8.1, -8.02)\": -85.7, \"(-8.02, -7.92)\": -84.2, \"(-7.92, -7.8)\": -82.6, \"(-7.8, -7.66)\": -80.6, \"(-7.66, -7.51)\": -77.8, \"(-7.51, -7.4)\": -76.3, \"(-7.4, -7.29)\": -74.8, \"(-7.29, -7.15)\": -72.7, \"(-7.15, -7.05)\": -71.0, \"(-7.05, -6.92)\": -69.3, \"(-6.92, -6.81)\": -67.7, \"(-6.81, -6.69)\": -66.2, \"(-6.69, -6.56)\": -64.5, \"(-6.56, -6.43)\": -62.6, \"(-6.43, -6.31)\": -61.2, \"(-6.31, -6.19)\": -59.8, \"(-6.19, -6.05)\": -58.3, \"(-6.05, -5.91)\": -56.4, \"(-5.91, -5.79)\": -54.9, \"(-5.79, -5.65)\": -53.4, \"(-5.65, -5.53)\": -51.9, \"(-5.53, -5.4)\": -50.5, \"(-5.4, -5.24)\": -48.9, \"(-5.24, -5.11)\": -47.5, \"(-5.11, -4.96)\": -46.0, \"(-4.96, -4.79)\": -44.5, \"(-4.79, -4.63)\": -42.8, \"(-4.63, -4.42)\": -41.0, \"(-4.42, -4.25)\": -39.5, \"(-4.25, -4.03)\": -37.7, \"(-4.03, -3.83)\": -36.1, \"(-3.83, -3.63)\": -34.7, \"(-3.63, -3.43)\": -33.0, \"(-3.43, -3.18)\": -31.6, \"(-3.18, -2.99)\": -30.2, \"(-2.99, -2.68)\": -28.7, \"(-2.68, -2.39)\": -27.1, \"(-2.39, -2.05)\": -25.6, \"(-2.05, -1.69)\": -24.2, \"(-1.69, -1.15)\": -22.7, \"(-1.15, -0.52)\": -21.3, \"(-0.52, -0.32)\": -19.9, \"(-0.32, -0.25)\": -18.4, \"(-0.25, -0.21)\": -16.9, \"(-0.21, -0.15)\": -15.3, \"(-0.15, -0.09)\": -11.4, \"(-0.09, -0.06)\": -6.5, \"(-0.06, -0.03)\": -5.0, \"(-0.03, -0.01)\": -3.0, \"(-0.01, 0.02)\": 0.8, \"(0.02, 0.04)\": 2.7, \"(0.04, 0.06)\": 4.6, \"(0.06, 0.08)\": 6.6, \"(0.08, 0.11)\": 9.0, \"(0.11, 0.13)\": 10.4, \"(0.13, 0.17)\": 12.5, \"(0.17, 0.23)\": 14.6, \"(0.23, 0.29)\": 16.2, \"(0.29, 0.42)\": 17.7, \"(0.42, 1.51)\": 19.2, \"(1.51, 1.95)\": 17.6, \"(1.95, 2.3)\": 16.2, \"(2.3, 2.59)\": 14.7, \"(2.59, 2.87)\": 13.2, \"(2.87, 3.12)\": 11.7, \"(3.12, 3.34)\": 10.1, \"(3.34, 3.57)\": 8.7, \"(3.57, 3.76)\": 7.2, \"(3.76, 3.98)\": 5.7, \"(3.98, 4.17)\": 4.0, \"(4.17, 4.34)\": 2.4, \"(4.34, 4.52)\": 1.0, \"(4.52, 4.65)\": -0.4, \"(4.65, 4.82)\": -1.9, \"(4.82, 4.97)\": -3.3, \"(4.97, 5.12)\": -4.8, \"(5.12, 5.28)\": -6.4, \"(5.28, 5.43)\": -8.0, \"(5.43, 5.55)\": -9.5, \"(5.55, 5.71)\": -11.0, \"(5.71, 5.85)\": -12.8, \"(5.85, 5.97)\": -14.3, \"(5.97, 6.09)\": -15.9, \"(6.09, 6.21)\": -17.4, \"(6.21, 6.33)\": -18.9, \"(6.33, 6.46)\": -20.3, \"(6.46, 6.59)\": -21.9, \"(6.59, 6.71)\": -23.4, \"(6.71, 6.81)\": -25.1, \"(6.81, 6.92)\": -26.6, \"(6.92, 7.04)\": -28.0, \"(7.04, 7.16)\": -29.8, \"(7.16, 7.25)\": -31.4, \"(7.25, 7.37)\": -32.8, \"(7.37, 7.47)\": -34.3, \"(7.47, 7.6)\": -36.1, \"(7.6, 7.72)\": -38.0, \"(7.72, 7.83)\": -39.7, \"(7.83, 7.93)\": -41.4, \"(7.93, 8.02)\": -43.2, \"(8.02, 8.13)\": -44.6, \"(8.13, 8.23)\": -46.2, \"(8.23, 8.33)\": -48.1, \"(8.33, 8.43)\": -49.6, \"(8.43, 8.5)\": -51.0, \"(8.5, 8.6)\": -52.5, \"(8.6, 8.69)\": -54.0, \"(8.69, 8.75)\": -55.5, \"(8.75, 8.84)\": -56.9, \"(8.84, 8.96)\": -58.7, \"(8.96, 9.06)\": -60.5, \"(9.06, 9.16)\": -62.3, \"(9.16, 9.25)\": -64.1, \"(9.25, 9.33)\": -65.7, \"(9.33, 9.41)\": -67.3, \"(9.41, 9.48)\": -68.7, \"(9.48, 9.59)\": -70.3, \"(9.59, 9.69)\": -72.7, \"(9.69, 9.78)\": -74.2, \"(9.78, 9.83)\": -75.7, \"(9.83, 9.9)\": -77.2, \"(9.9, 9.99)\": -78.6}\n", "\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4149,7 +3509,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -4165,7 +3525,7 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Means: {\"(-9.97, -4.69)\": -0.0005, \"(-4.69, -3.92)\": 0.0096, \"(-3.92, -3.49)\": 0.0198, \"(-3.49, -3.19)\": 0.0304, \"(-3.19, -2.96)\": 0.0409, \"(-2.96, -2.74)\": 0.0513, \"(-2.74, -2.56)\": 0.0618, \"(-2.56, -2.4)\": 0.0727, \"(-2.4, -2.3)\": 0.0851, \"(-2.3, -2.12)\": 0.0956, \"(-2.12, -2.03)\": 0.1066, \"(-2.03, -1.92)\": 0.1174, \"(-1.92, -1.81)\": 0.1301, \"(-1.81, -1.73)\": 0.1413, \"(-1.73, -1.63)\": 0.1519, \"(-1.63, -1.55)\": 0.1655, \"(-1.55, -1.46)\": 0.1774, \"(-1.46, -1.39)\": 0.1892, \"(-1.39, -1.35)\": 0.1992, \"(-1.35, -1.27)\": 0.2093, \"(-1.27, -1.22)\": 0.22, \"(-1.22, -1.15)\": 0.2303, \"(-1.15, -1.08)\": 0.2415, \"(-1.08, -1.03)\": 0.254, \"(-1.03, -0.98)\": 0.2643, \"(-0.98, -0.93)\": 0.2746, \"(-0.93, -0.86)\": 0.2857, \"(-0.86, -0.79)\": 0.2989, \"(-0.79, -0.71)\": 0.3188, \"(-0.71, -0.65)\": 0.3316, \"(-0.65, -0.59)\": 0.3449, \"(-0.59, -0.53)\": 0.3564, \"(-0.53, -0.46)\": 0.3767, \"(-0.46, -0.42)\": 0.3894, \"(-0.42, -0.36)\": 0.4009, \"(-0.36, -0.31)\": 0.4127, \"(-0.31, -0.28)\": 0.4227, \"(-0.28, -0.23)\": 0.4336, \"(-0.23, -0.19)\": 0.445, \"(-0.19, -0.13)\": 0.4561, \"(-0.13, -0.08)\": 0.468, \"(-0.08, -0.04)\": 0.4839, \"(-0.04, 0.02)\": 0.4969, \"(0.02, 0.07)\": 0.5102, \"(0.07, 0.14)\": 0.5217, \"(0.14, 0.18)\": 0.5362, \"(0.18, 0.22)\": 0.5482, \"(0.22, 0.32)\": 0.5631, \"(0.32, 0.38)\": 0.587, \"(0.38, 0.45)\": 0.5999, \"(0.45, 0.5)\": 0.6125, \"(0.5, 0.56)\": 0.6245, \"(0.56, 0.6)\": 0.635, \"(0.6, 0.66)\": 0.6491, \"(0.66, 0.75)\": 0.6643, \"(0.75, 0.84)\": 0.6859, \"(0.84, 0.89)\": 0.6986, \"(0.89, 0.95)\": 0.7102, \"(0.95, 1.01)\": 0.723, \"(1.01, 1.07)\": 0.7347, \"(1.07, 1.14)\": 0.7481, \"(1.14, 1.21)\": 0.7598, \"(1.21, 1.29)\": 0.772, \"(1.29, 1.37)\": 0.7875, \"(1.37, 1.46)\": 0.8009, \"(1.46, 1.52)\": 0.8116, \"(1.52, 1.59)\": 0.8233, \"(1.59, 1.69)\": 0.8344, \"(1.69, 1.78)\": 0.8459, \"(1.78, 1.89)\": 0.8569, \"(1.89, 2.02)\": 0.8713, \"(2.02, 2.1)\": 0.8817, \"(2.1, 2.27)\": 0.8939, \"(2.27, 2.41)\": 0.9076, \"(2.41, 2.55)\": 0.918, \"(2.55, 2.72)\": 0.9287, \"(2.72, 2.92)\": 0.9391, \"(2.92, 3.16)\": 0.95, \"(3.16, 3.51)\": 0.9601, \"(3.51, 3.93)\": 0.9706, \"(3.93, 4.73)\": 0.9809, \"(4.73, 9.99)\": 0.9914}\n", + "Means: {\"(-9.98, -9.91)\": 78.7, \"(-9.91, -9.85)\": 77.0, \"(-9.85, -9.79)\": 75.3, \"(-9.79, -9.72)\": 73.5, \"(-9.72, -9.65)\": 71.4, \"(-9.65, -9.58)\": 69.7, \"(-9.58, -9.51)\": 67.6, \"(-9.51, -9.44)\": 65.8, \"(-9.44, -9.38)\": 63.9, \"(-9.38, -9.3)\": 62.1, \"(-9.3, -9.23)\": 60.1, \"(-9.23, -9.14)\": 58.1, \"(-9.14, -9.07)\": 56.1, \"(-9.07, -8.97)\": 53.9, \"(-8.97, -8.89)\": 51.7, \"(-8.89, -8.82)\": 50.1, \"(-8.82, -8.73)\": 48.4, \"(-8.73, -8.64)\": 46.3, \"(-8.64, -8.56)\": 44.2, \"(-8.56, -8.48)\": 42.3, \"(-8.48, -8.38)\": 40.7, \"(-8.38, -8.27)\": 38.3, \"(-8.27, -8.17)\": 36.4, \"(-8.17, -8.06)\": 34.2, \"(-8.06, -7.97)\": 32.1, \"(-7.97, -7.86)\": 30.3, \"(-7.86, -7.76)\": 28.5, \"(-7.76, -7.62)\": 26.3, \"(-7.62, -7.48)\": 23.5, \"(-7.48, -7.37)\": 21.6, \"(-7.37, -7.29)\": 19.8, \"(-7.29, -7.18)\": 18.2, \"(-7.18, -7.05)\": 16.6, \"(-7.05, -6.95)\": 14.9, \"(-6.95, -6.83)\": 13.2, \"(-6.83, -6.68)\": 11.5, \"(-6.68, -6.57)\": 9.9, \"(-6.57, -6.43)\": 8.2, \"(-6.43, -6.31)\": 6.5, \"(-6.31, -6.13)\": 4.9, \"(-6.13, -5.94)\": 2.5, \"(-5.94, -5.76)\": 0.8, \"(-5.76, -5.58)\": -1.0, \"(-5.58, -5.39)\": -2.7, \"(-5.39, -5.15)\": -4.4, \"(-5.15, -4.91)\": -6.6, \"(-4.91, -4.67)\": -8.2, \"(-4.67, -4.41)\": -9.8, \"(-4.41, -4.12)\": -11.5, \"(-4.12, -3.77)\": -13.1, \"(-3.77, -3.36)\": -14.7, \"(-3.36, -2.78)\": -16.3, \"(-2.78, -1.56)\": -18.0, \"(-1.56, -0.74)\": -19.6, \"(-0.74, -0.57)\": -17.9, \"(-0.57, -0.46)\": -16.2, \"(-0.46, -0.36)\": -14.1, \"(-0.36, -0.29)\": -11.7, \"(-0.29, -0.23)\": -10.0, \"(-0.23, -0.17)\": -8.3, \"(-0.17, -0.11)\": -6.3, \"(-0.11, -0.06)\": -4.0, \"(-0.06, -0.03)\": -2.3, \"(-0.03, 0.03)\": -0.3, \"(0.03, 0.07)\": 1.5, \"(0.07, 0.13)\": 3.1, \"(0.13, 0.2)\": 5.8, \"(0.2, 0.24)\": 7.5, \"(0.24, 0.31)\": 9.2, \"(0.31, 0.38)\": 11.5, \"(0.38, 0.51)\": 13.4, \"(0.51, 0.68)\": 15.8, \"(0.68, 1.03)\": 17.6, \"(1.03, 2.83)\": 19.3, \"(2.83, 3.41)\": 17.7, \"(3.41, 3.85)\": 16.0, \"(3.85, 4.19)\": 14.2, \"(4.19, 4.48)\": 12.6, \"(4.48, 4.73)\": 11.0, \"(4.73, 4.96)\": 9.4, \"(4.96, 5.18)\": 7.8, \"(5.18, 5.36)\": 6.1, \"(5.36, 5.55)\": 4.5, \"(5.55, 5.71)\": 2.9, \"(5.71, 5.87)\": 1.3, \"(5.87, 6.03)\": -0.3, \"(6.03, 6.18)\": -2.1, \"(6.18, 6.32)\": -3.7, \"(6.32, 6.46)\": -5.5, \"(6.46, 6.6)\": -7.2, \"(6.6, 6.75)\": -8.9, \"(6.75, 6.88)\": -11.1, \"(6.88, 7.0)\": -12.7, \"(7.0, 7.1)\": -14.4, \"(7.1, 7.23)\": -16.1, \"(7.23, 7.34)\": -17.7, \"(7.34, 7.45)\": -20.0, \"(7.45, 7.55)\": -21.7, \"(7.55, 7.67)\": -23.5, \"(7.67, 7.77)\": -25.4, \"(7.77, 7.88)\": -27.3, \"(7.88, 7.98)\": -29.4, \"(7.98, 8.05)\": -31.1, \"(8.05, 8.17)\": -33.1, \"(8.17, 8.26)\": -34.8, \"(8.26, 8.39)\": -37.0, \"(8.39, 8.47)\": -39.6, \"(8.47, 8.56)\": -41.2, \"(8.56, 8.63)\": -42.8, \"(8.63, 8.72)\": -44.6, \"(8.72, 8.79)\": -46.4, \"(8.79, 8.87)\": -48.2, \"(8.87, 8.93)\": -50.4, \"(8.93, 9.03)\": -52.1, \"(9.03, 9.11)\": -54.1, \"(9.11, 9.19)\": -56.0, \"(9.19, 9.27)\": -57.9, \"(9.27, 9.32)\": -59.7, \"(9.32, 9.38)\": -61.3, \"(9.38, 9.46)\": -63.1, \"(9.46, 9.53)\": -64.9, \"(9.53, 9.57)\": -66.6, \"(9.57, 9.65)\": -68.2, \"(9.65, 9.74)\": -70.9, \"(9.74, 9.83)\": -72.7, \"(9.83, 9.9)\": -75.5, \"(9.9, 9.95)\": -77.2, \"(9.95, 10.0)\": -79.5}\n", "\n" ] } @@ -4202,7 +3562,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 121, "metadata": {}, "outputs": [], "source": [ @@ -4212,7 +3572,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 122, "metadata": {}, "outputs": [], "source": [ @@ -4222,65 +3582,45 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 123, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -9.79)\": -9.99, \"(-9.79, -9.59)\": -9.78, \"(-9.59, -9.38)\": -9.58, \"(-9.38, -9.19)\": -9.38, \"(-9.19, -8.97)\": -9.16, \"(-8.97, -8.76)\": -8.96, \"(-8.76, -8.53)\": -8.74, \"(-8.53, -8.29)\": -8.51, \"(-8.29, -8.07)\": -8.27, \"(-8.07, -7.84)\": -8.04, \"(-7.84, -7.65)\": -7.84, \"(-7.65, -7.43)\": -7.62, \"(-7.43, -7.19)\": -7.41, \"(-7.19, -6.99)\": -7.19, \"(-6.99, -6.79)\": -6.98, \"(-6.79, -6.58)\": -6.78, \"(-6.58, -6.38)\": -6.58, \"(-6.38, -6.15)\": -6.36, \"(-6.15, -5.94)\": -6.14, \"(-5.94, -5.74)\": -5.94, \"(-5.74, -5.53)\": -5.73, \"(-5.53, -5.31)\": -5.5, \"(-5.31, -5.1)\": -5.3, \"(-5.1, -4.91)\": -5.09, \"(-4.91, -4.69)\": -4.88, \"(-4.69, -4.48)\": -4.66, \"(-4.48, -4.28)\": -4.46, \"(-4.28, -4.08)\": -4.25, \"(-4.08, -3.86)\": -4.05, \"(-3.86, -3.63)\": -3.85, \"(-3.63, -3.43)\": -3.63, \"(-3.43, -3.2)\": -3.42, \"(-3.2, -3.0)\": -3.2, \"(-3.0, -2.78)\": -2.99, \"(-2.78, -2.52)\": -2.71, \"(-2.52, -2.32)\": -2.5, \"(-2.32, -2.07)\": -2.28, \"(-2.07, -1.84)\": -2.05, \"(-1.84, -1.63)\": -1.83, \"(-1.63, -1.43)\": -1.62, \"(-1.43, -1.25)\": -1.42, \"(-1.25, -1.02)\": -1.21, \"(-1.02, -0.84)\": -1.01, \"(-0.84, -0.62)\": -0.81, \"(-0.62, -0.4)\": -0.61, \"(-0.4, -0.16)\": -0.36, \"(-0.16, 0.03)\": -0.14, \"(0.03, 0.26)\": 0.06, \"(0.26, 0.46)\": 0.27, \"(0.46, 0.68)\": 0.48, \"(0.68, 0.88)\": 0.69, \"(0.88, 1.11)\": 0.9, \"(1.11, 1.33)\": 1.13, \"(1.33, 1.55)\": 1.35, \"(1.55, 1.76)\": 1.56, \"(1.76, 1.97)\": 1.77, \"(1.97, 2.16)\": 1.98, \"(2.16, 2.37)\": 2.18, \"(2.37, 2.59)\": 2.39, \"(2.59, 2.83)\": 2.61, \"(2.83, 3.06)\": 2.86, \"(3.06, 3.31)\": 3.09, \"(3.31, 3.53)\": 3.33, \"(3.53, 3.77)\": 3.56, \"(3.77, 3.95)\": 3.77, \"(3.95, 4.16)\": 3.97, \"(4.16, 4.38)\": 4.18, \"(4.38, 4.62)\": 4.42, \"(4.62, 4.85)\": 4.63, \"(4.85, 5.06)\": 4.88, \"(5.06, 5.29)\": 5.09, \"(5.29, 5.49)\": 5.31, \"(5.49, 5.7)\": 5.51, \"(5.7, 5.91)\": 5.71, \"(5.91, 6.1)\": 5.92, \"(6.1, 6.32)\": 6.12, \"(6.32, 6.53)\": 6.33, \"(6.53, 6.7)\": 6.53, \"(6.7, 6.91)\": 6.73, \"(6.91, 7.14)\": 6.94, \"(7.14, 7.37)\": 7.14, \"(7.37, 7.58)\": 7.38, \"(7.58, 7.79)\": 7.59, \"(7.79, 7.97)\": 7.79, \"(7.97, 8.2)\": 8.0, \"(8.2, 8.42)\": 8.21, \"(8.42, 8.66)\": 8.45, \"(8.66, 8.87)\": 8.67, \"(8.87, 9.09)\": 8.88, \"(9.09, 9.31)\": 9.12, \"(9.31, 9.52)\": 9.33, \"(9.52, 9.72)\": 9.53, \"(9.72, 9.94)\": 9.73, \"(9.94, 9.95)\": 9.93}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.78)\": 24.95, \"(-9.78, -9.55)\": 24.53, \"(-9.55, -9.29)\": 23.98, \"(-9.29, -9.07)\": 23.53, \"(-9.07, -8.84)\": 23.11, \"(-8.84, -8.63)\": 22.67, \"(-8.63, -8.4)\": 22.22, \"(-8.4, -8.21)\": 21.79, \"(-8.21, -7.98)\": 21.39, \"(-7.98, -7.78)\": 20.95, \"(-7.78, -7.57)\": 20.52, \"(-7.57, -7.35)\": 20.1, \"(-7.35, -7.17)\": 19.7, \"(-7.17, -6.95)\": 19.28, \"(-6.95, -6.73)\": 18.83, \"(-6.73, -6.5)\": 18.38, \"(-6.5, -6.3)\": 17.97, \"(-6.3, -6.08)\": 17.57, \"(-6.08, -5.84)\": 17.14, \"(-5.84, -5.6)\": 16.6, \"(-5.6, -5.38)\": 16.16, \"(-5.38, -5.19)\": 15.76, \"(-5.19, -4.97)\": 15.36, \"(-4.97, -4.79)\": 14.94, \"(-4.79, -4.56)\": 14.53, \"(-4.56, -4.35)\": 14.11, \"(-4.35, -4.17)\": 13.71, \"(-4.17, -3.93)\": 13.3, \"(-3.93, -3.73)\": 12.84, \"(-3.73, -3.52)\": 12.42, \"(-3.52, -3.31)\": 11.99, \"(-3.31, -3.08)\": 11.59, \"(-3.08, -2.86)\": 11.13, \"(-2.86, -2.62)\": 10.68, \"(-2.62, -2.4)\": 10.18, \"(-2.4, -2.18)\": 9.74, \"(-2.18, -1.96)\": 9.33, \"(-1.96, -1.7)\": 8.85, \"(-1.7, -1.5)\": 8.39, \"(-1.5, -1.25)\": 7.97, \"(-1.25, -1.05)\": 7.48, \"(-1.05, -0.81)\": 7.07, \"(-0.81, -0.63)\": 6.62, \"(-0.63, -0.41)\": 6.2, \"(-0.41, -0.19)\": 5.79, \"(-0.19, 0.01)\": 5.38, \"(0.01, 0.23)\": 4.96, \"(0.23, 0.43)\": 4.53, \"(0.43, 0.65)\": 4.09, \"(0.65, 0.87)\": 3.68, \"(0.87, 1.08)\": 3.24, \"(1.08, 1.27)\": 2.83, \"(1.27, 1.49)\": 2.41, \"(1.49, 1.72)\": 1.99, \"(1.72, 1.96)\": 1.51, \"(1.96, 2.14)\": 1.08, \"(2.14, 2.38)\": 0.67, \"(2.38, 2.56)\": 0.26, \"(2.56, 2.77)\": -0.14, \"(2.77, 2.98)\": -0.54, \"(2.98, 3.19)\": -0.96, \"(3.19, 3.4)\": -1.39, \"(3.4, 3.62)\": -1.81, \"(3.62, 3.81)\": -2.23, \"(3.81, 4.03)\": -2.65, \"(4.03, 4.24)\": -3.07, \"(4.24, 4.46)\": -3.53, \"(4.46, 4.66)\": -3.93, \"(4.66, 4.86)\": -4.33, \"(4.86, 5.08)\": -4.75, \"(5.08, 5.29)\": -5.18, \"(5.29, 5.49)\": -5.58, \"(5.49, 5.68)\": -6.03, \"(5.68, 5.95)\": -6.46, \"(5.95, 6.15)\": -6.91, \"(6.15, 6.37)\": -7.31, \"(6.37, 6.59)\": -7.77, \"(6.59, 6.82)\": -8.22, \"(6.82, 7.01)\": -8.66, \"(7.01, 7.23)\": -9.05, \"(7.23, 7.45)\": -9.48, \"(7.45, 7.66)\": -9.93, \"(7.66, 7.9)\": -10.38, \"(7.9, 8.09)\": -10.79, \"(8.09, 8.3)\": -11.2, \"(8.3, 8.53)\": -11.64, \"(8.53, 8.73)\": -12.08, \"(8.73, 8.96)\": -12.51, \"(8.96, 9.17)\": -12.95, \"(9.17, 9.37)\": -13.35, \"(9.37, 9.58)\": -13.77, \"(9.58, 9.8)\": -14.19, \"(9.8, 9.97)\": -14.61}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.93)\": 99.4, \"(-9.93, -9.87)\": 98.31, \"(-9.87, -9.81)\": 97.19, \"(-9.81, -9.76)\": 96.11, \"(-9.76, -9.7)\": 95.04, \"(-9.7, -9.65)\": 94.01, \"(-9.65, -9.58)\": 92.73, \"(-9.58, -9.51)\": 91.67, \"(-9.51, -9.47)\": 90.48, \"(-9.47, -9.43)\": 89.37, \"(-9.43, -9.34)\": 88.16, \"(-9.34, -9.28)\": 87.09, \"(-9.28, -9.23)\": 86.04, \"(-9.23, -9.15)\": 84.82, \"(-9.15, -9.1)\": 83.54, \"(-9.1, -9.02)\": 82.31, \"(-9.02, -8.92)\": 80.93, \"(-8.92, -8.87)\": 79.41, \"(-8.87, -8.78)\": 78.31, \"(-8.78, -8.71)\": 76.47, \"(-8.71, -8.62)\": 75.46, \"(-8.62, -8.54)\": 74.01, \"(-8.54, -8.48)\": 72.62, \"(-8.48, -8.42)\": 71.53, \"(-8.42, -8.32)\": 70.24, \"(-8.32, -8.27)\": 69.21, \"(-8.27, -8.2)\": 68.18, \"(-8.2, -8.12)\": 66.92, \"(-8.12, -8.05)\": 65.63, \"(-8.05, -7.97)\": 64.56, \"(-7.97, -7.89)\": 63.45, \"(-7.89, -7.83)\": 62.36, \"(-7.83, -7.77)\": 61.32, \"(-7.77, -7.71)\": 60.21, \"(-7.71, -7.62)\": 59.18, \"(-7.62, -7.56)\": 58.13, \"(-7.56, -7.47)\": 57.06, \"(-7.47, -7.41)\": 55.65, \"(-7.41, -7.33)\": 54.58, \"(-7.33, -7.25)\": 53.55, \"(-7.25, -7.18)\": 52.43, \"(-7.18, -7.12)\": 51.43, \"(-7.12, -7.04)\": 50.41, \"(-7.04, -6.95)\": 49.31, \"(-6.95, -6.88)\": 48.23, \"(-6.88, -6.79)\": 47.12, \"(-6.79, -6.72)\": 46.02, \"(-6.72, -6.63)\": 44.95, \"(-6.63, -6.55)\": 43.75, \"(-6.55, -6.45)\": 42.74, \"(-6.45, -6.35)\": 41.39, \"(-6.35, -6.24)\": 40.11, \"(-6.24, -6.17)\": 38.97, \"(-6.17, -6.06)\": 37.89, \"(-6.06, -5.95)\": 36.45, \"(-5.95, -5.85)\": 35.25, \"(-5.85, -5.77)\": 34.13, \"(-5.77, -5.66)\": 33.06, \"(-5.66, -5.56)\": 31.88, \"(-5.56, -5.45)\": 30.75, \"(-5.45, -5.34)\": 29.55, \"(-5.34, -5.24)\": 28.49, \"(-5.24, -5.15)\": 27.39, \"(-5.15, -5.01)\": 26.33, \"(-5.01, -4.92)\": 25.2, \"(-4.92, -4.79)\": 23.89, \"(-4.79, -4.67)\": 22.84, \"(-4.67, -4.54)\": 21.69, \"(-4.54, -4.43)\": 20.6, \"(-4.43, -4.31)\": 19.6, \"(-4.31, -4.2)\": 18.5, \"(-4.2, -4.07)\": 17.46, \"(-4.07, -3.93)\": 16.43, \"(-3.93, -3.8)\": 15.33, \"(-3.8, -3.64)\": 14.3, \"(-3.64, -3.51)\": 13.27, \"(-3.51, -3.34)\": 12.22, \"(-3.34, -3.15)\": 10.98, \"(-3.15, -2.98)\": 9.9, \"(-2.98, -2.79)\": 8.85, \"(-2.79, -2.58)\": 7.72, \"(-2.58, -2.37)\": 6.53, \"(-2.37, -2.14)\": 5.51, \"(-2.14, -1.86)\": 4.5, \"(-1.86, -1.54)\": 3.39, \"(-1.54, -1.11)\": 2.25, \"(-1.11, -0.39)\": 1.18, \"(-0.39, 1.09)\": 0.16, \"(1.09, 1.47)\": 1.17, \"(1.47, 1.76)\": 2.17, \"(1.76, 2.03)\": 3.19, \"(2.03, 2.27)\": 4.2, \"(2.27, 2.49)\": 5.22, \"(2.49, 2.7)\": 6.26, \"(2.7, 2.92)\": 7.5, \"(2.92, 3.08)\": 8.6, \"(3.08, 3.27)\": 9.65, \"(3.27, 3.43)\": 10.71, \"(3.43, 3.62)\": 12.0, \"(3.62, 3.78)\": 13.22, \"(3.78, 3.91)\": 14.3, \"(3.91, 4.04)\": 15.43, \"(4.04, 4.17)\": 16.43, \"(4.17, 4.3)\": 17.43, \"(4.3, 4.45)\": 18.5, \"(4.45, 4.62)\": 20.3, \"(4.62, 4.74)\": 21.54, \"(4.74, 4.85)\": 22.57, \"(4.85, 4.95)\": 23.58, \"(4.95, 5.06)\": 24.58, \"(5.06, 5.14)\": 25.64, \"(5.14, 5.26)\": 26.66, \"(5.26, 5.39)\": 27.87, \"(5.39, 5.48)\": 29.18, \"(5.48, 5.62)\": 30.42, \"(5.62, 5.73)\": 31.7, \"(5.73, 5.8)\": 32.8, \"(5.8, 5.9)\": 33.81, \"(5.9, 6.02)\": 34.97, \"(6.02, 6.14)\": 36.63, \"(6.14, 6.2)\": 37.66, \"(6.2, 6.29)\": 38.67, \"(6.29, 6.41)\": 39.71, \"(6.41, 6.55)\": 41.78, \"(6.55, 6.65)\": 42.94, \"(6.65, 6.75)\": 44.48, \"(6.75, 6.83)\": 45.59, \"(6.83, 6.91)\": 46.74, \"(6.91, 6.99)\": 47.92, \"(6.99, 7.08)\": 49.12, \"(7.08, 7.16)\": 50.33, \"(7.16, 7.23)\": 51.38, \"(7.23, 7.31)\": 52.48, \"(7.31, 7.38)\": 53.62, \"(7.38, 7.47)\": 54.74, \"(7.47, 7.55)\": 55.87, \"(7.55, 7.63)\": 57.06, \"(7.63, 7.68)\": 58.15, \"(7.68, 7.75)\": 59.17, \"(7.75, 7.84)\": 60.33, \"(7.84, 7.93)\": 61.95, \"(7.93, 8.05)\": 63.71, \"(8.05, 8.11)\": 64.79, \"(8.11, 8.18)\": 65.93, \"(8.18, 8.27)\": 67.71, \"(8.27, 8.37)\": 68.96, \"(8.37, 8.45)\": 70.29, \"(8.45, 8.51)\": 71.47, \"(8.51, 8.59)\": 72.6, \"(8.59, 8.62)\": 73.67, \"(8.62, 8.72)\": 74.69, \"(8.72, 8.78)\": 76.09, \"(8.78, 8.85)\": 77.31, \"(8.85, 8.89)\": 78.33, \"(8.89, 8.99)\": 79.44, \"(8.99, 9.06)\": 81.18, \"(9.06, 9.16)\": 82.62, \"(9.16, 9.24)\": 84.01, \"(9.24, 9.3)\": 85.56, \"(9.3, 9.38)\": 86.58, \"(9.38, 9.45)\": 88.34, \"(9.45, 9.53)\": 89.65, \"(9.53, 9.59)\": 91.14, \"(9.59, 9.64)\": 92.15, \"(9.64, 9.72)\": 93.3, \"(9.72, 9.78)\": 94.6, \"(9.78, 9.82)\": 95.66, \"(9.82, 9.89)\": 97.11, \"(9.89, 10.0)\": 98.32}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.95)\": -200.0, \"(-9.95, -9.88)\": -197.6, \"(-9.88, -9.84)\": -195.0, \"(-9.84, -9.76)\": -192.9, \"(-9.76, -9.7)\": -189.9, \"(-9.7, -9.64)\": -187.2, \"(-9.64, -9.54)\": -184.0, \"(-9.54, -9.45)\": -181.6, \"(-9.45, -9.35)\": -176.4, \"(-9.35, -9.26)\": -173.7, \"(-9.26, -9.2)\": -171.5, \"(-9.2, -9.14)\": -169.0, \"(-9.14, -9.07)\": -166.8, \"(-9.07, -9.01)\": -164.7, \"(-9.01, -8.96)\": -162.0, \"(-8.96, -8.88)\": -159.7, \"(-8.88, -8.81)\": -157.6, \"(-8.81, -8.74)\": -154.6, \"(-8.74, -8.67)\": -152.6, \"(-8.67, -8.61)\": -149.9, \"(-8.61, -8.55)\": -147.7, \"(-8.55, -8.47)\": -145.6, \"(-8.47, -8.41)\": -143.1, \"(-8.41, -8.33)\": -140.6, \"(-8.33, -8.26)\": -138.6, \"(-8.26, -8.19)\": -136.4, \"(-8.19, -8.12)\": -133.7, \"(-8.12, -8.04)\": -131.5, \"(-8.04, -7.97)\": -129.3, \"(-7.97, -7.9)\": -126.9, \"(-7.9, -7.82)\": -124.1, \"(-7.82, -7.73)\": -122.0, \"(-7.73, -7.65)\": -118.8, \"(-7.65, -7.55)\": -116.1, \"(-7.55, -7.48)\": -113.6, \"(-7.48, -7.36)\": -110.7, \"(-7.36, -7.26)\": -107.9, \"(-7.26, -7.15)\": -104.8, \"(-7.15, -7.07)\": -102.1, \"(-7.07, -6.99)\": -99.7, \"(-6.99, -6.93)\": -97.5, \"(-6.93, -6.81)\": -95.2, \"(-6.81, -6.75)\": -92.7, \"(-6.75, -6.64)\": -90.1, \"(-6.64, -6.55)\": -87.6, \"(-6.55, -6.43)\": -85.4, \"(-6.43, -6.34)\": -82.2, \"(-6.34, -6.25)\": -80.0, \"(-6.25, -6.17)\": -77.9, \"(-6.17, -6.07)\": -75.7, \"(-6.07, -5.99)\": -73.6, \"(-5.99, -5.89)\": -71.5, \"(-5.89, -5.81)\": -69.4, \"(-5.81, -5.72)\": -67.2, \"(-5.72, -5.63)\": -65.1, \"(-5.63, -5.51)\": -63.1, \"(-5.51, -5.43)\": -60.8, \"(-5.43, -5.31)\": -58.5, \"(-5.31, -5.21)\": -56.2, \"(-5.21, -5.09)\": -53.9, \"(-5.09, -4.99)\": -51.9, \"(-4.99, -4.85)\": -49.4, \"(-4.85, -4.74)\": -46.8, \"(-4.74, -4.63)\": -44.7, \"(-4.63, -4.52)\": -42.7, \"(-4.52, -4.41)\": -40.6, \"(-4.41, -4.27)\": -38.3, \"(-4.27, -4.13)\": -36.3, \"(-4.13, -4.03)\": -34.2, \"(-4.03, -3.87)\": -32.2, \"(-3.87, -3.73)\": -29.9, \"(-3.73, -3.58)\": -27.7, \"(-3.58, -3.41)\": -25.6, \"(-3.41, -3.25)\": -23.3, \"(-3.25, -3.06)\": -20.7, \"(-3.06, -2.88)\": -18.4, \"(-2.88, -2.65)\": -16.2, \"(-2.65, -2.48)\": -14.1, \"(-2.48, -2.28)\": -12.0, \"(-2.28, -1.99)\": -10.0, \"(-1.99, -1.71)\": -7.9, \"(-1.71, -1.38)\": -5.8, \"(-1.38, -0.92)\": -3.8, \"(-0.92, 1.35)\": -1.7, \"(1.35, 1.68)\": -3.7, \"(1.68, 1.98)\": -5.8, \"(1.98, 2.2)\": -7.9, \"(2.2, 2.44)\": -10.0, \"(2.44, 2.65)\": -12.0, \"(2.65, 2.83)\": -14.1, \"(2.83, 3.03)\": -16.4, \"(3.03, 3.22)\": -18.5, \"(3.22, 3.38)\": -20.7, \"(3.38, 3.51)\": -23.0, \"(3.51, 3.68)\": -25.1, \"(3.68, 3.83)\": -27.2, \"(3.83, 3.99)\": -29.5, \"(3.99, 4.16)\": -32.3, \"(4.16, 4.27)\": -34.5, \"(4.27, 4.39)\": -36.6, \"(4.39, 4.53)\": -38.6, \"(4.53, 4.65)\": -41.2, \"(4.65, 4.79)\": -43.3, \"(4.79, 4.91)\": -46.4, \"(4.91, 5.02)\": -48.5, \"(5.02, 5.12)\": -50.7, \"(5.12, 5.25)\": -52.7, \"(5.25, 5.34)\": -54.9, \"(5.34, 5.44)\": -57.3, \"(5.44, 5.54)\": -59.5, \"(5.54, 5.64)\": -61.6, \"(5.64, 5.72)\": -63.8, \"(5.72, 5.83)\": -66.1, \"(5.83, 5.92)\": -68.2, \"(5.92, 6.03)\": -70.4, \"(6.03, 6.15)\": -73.7, \"(6.15, 6.24)\": -75.7, \"(6.24, 6.32)\": -77.9, \"(6.32, 6.41)\": -80.1, \"(6.41, 6.49)\": -82.6, \"(6.49, 6.6)\": -84.9, \"(6.6, 6.7)\": -87.7, \"(6.7, 6.78)\": -89.7, \"(6.78, 6.88)\": -92.4, \"(6.88, 6.95)\": -94.9, \"(6.95, 7.03)\": -97.0, \"(7.03, 7.1)\": -99.1, \"(7.1, 7.2)\": -101.6, \"(7.2, 7.28)\": -104.0, \"(7.28, 7.35)\": -106.2, \"(7.35, 7.43)\": -108.4, \"(7.43, 7.51)\": -110.9, \"(7.51, 7.58)\": -113.1, \"(7.58, 7.65)\": -115.2, \"(7.65, 7.71)\": -117.3, \"(7.71, 7.79)\": -119.4, \"(7.79, 7.87)\": -121.7, \"(7.87, 7.95)\": -124.2, \"(7.95, 8.04)\": -127.3, \"(8.04, 8.1)\": -129.5, \"(8.1, 8.17)\": -131.6, \"(8.17, 8.26)\": -134.0, \"(8.26, 8.33)\": -136.8, \"(8.33, 8.37)\": -139.0, \"(8.37, 8.46)\": -141.4, \"(8.46, 8.52)\": -143.8, \"(8.52, 8.6)\": -146.5, \"(8.6, 8.68)\": -148.5, \"(8.68, 8.75)\": -150.8, \"(8.75, 8.8)\": -154.1, \"(8.8, 8.92)\": -156.8, \"(8.92, 9.06)\": -161.9, \"(9.06, 9.15)\": -165.8, \"(9.15, 9.23)\": -168.3, \"(9.23, 9.29)\": -170.8, \"(9.29, 9.36)\": -173.4, \"(9.36, 9.42)\": -175.5, \"(9.42, 9.49)\": -178.0, \"(9.49, 9.54)\": -180.4, \"(9.54, 9.61)\": -182.9, \"(9.61, 9.66)\": -184.9, \"(9.66, 9.74)\": -187.4, \"(9.74, 9.83)\": -191.4, \"(9.83, 9.89)\": -193.6, \"(9.89, 9.97)\": -196.6}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.94)\": 144.0, \"(-9.94, -9.85)\": 142.0, \"(-9.85, -9.77)\": 140.4, \"(-9.77, -9.66)\": 137.5, \"(-9.66, -9.58)\": 135.8, \"(-9.58, -9.51)\": 134.0, \"(-9.51, -9.41)\": 131.7, \"(-9.41, -9.35)\": 130.1, \"(-9.35, -9.27)\": 128.6, \"(-9.27, -9.18)\": 126.7, \"(-9.18, -9.09)\": 124.5, \"(-9.09, -9.01)\": 122.7, \"(-9.01, -8.93)\": 121.1, \"(-8.93, -8.84)\": 119.2, \"(-8.84, -8.76)\": 117.3, \"(-8.76, -8.69)\": 115.5, \"(-8.69, -8.59)\": 114.0, \"(-8.59, -8.52)\": 112.2, \"(-8.52, -8.42)\": 110.3, \"(-8.42, -8.35)\": 108.6, \"(-8.35, -8.29)\": 106.9, \"(-8.29, -8.22)\": 105.4, \"(-8.22, -8.11)\": 103.7, \"(-8.11, -8.03)\": 102.1, \"(-8.03, -7.92)\": 99.8, \"(-7.92, -7.86)\": 98.4, \"(-7.86, -7.76)\": 96.8, \"(-7.76, -7.67)\": 95.1, \"(-7.67, -7.56)\": 92.8, \"(-7.56, -7.48)\": 91.2, \"(-7.48, -7.4)\": 89.8, \"(-7.4, -7.32)\": 88.2, \"(-7.32, -7.23)\": 86.7, \"(-7.23, -7.13)\": 84.9, \"(-7.13, -7.06)\": 83.1, \"(-7.06, -6.96)\": 81.6, \"(-6.96, -6.88)\": 80.1, \"(-6.88, -6.78)\": 78.6, \"(-6.78, -6.71)\": 76.9, \"(-6.71, -6.6)\": 75.4, \"(-6.6, -6.53)\": 73.8, \"(-6.53, -6.42)\": 72.3, \"(-6.42, -6.32)\": 70.8, \"(-6.32, -6.25)\": 69.2, \"(-6.25, -6.12)\": 67.6, \"(-6.12, -6.03)\": 66.0, \"(-6.03, -5.94)\": 64.4, \"(-5.94, -5.82)\": 62.8, \"(-5.82, -5.71)\": 60.8, \"(-5.71, -5.61)\": 59.1, \"(-5.61, -5.48)\": 57.6, \"(-5.48, -5.41)\": 56.1, \"(-5.41, -5.29)\": 54.6, \"(-5.29, -5.18)\": 53.1, \"(-5.18, -5.08)\": 51.5, \"(-5.08, -4.96)\": 49.8, \"(-4.96, -4.87)\": 48.4, \"(-4.87, -4.76)\": 46.9, \"(-4.76, -4.62)\": 45.4, \"(-4.62, -4.47)\": 43.4, \"(-4.47, -4.36)\": 41.9, \"(-4.36, -4.23)\": 40.4, \"(-4.23, -4.14)\": 38.8, \"(-4.14, -3.99)\": 37.3, \"(-3.99, -3.85)\": 35.7, \"(-3.85, -3.68)\": 33.8, \"(-3.68, -3.54)\": 32.1, \"(-3.54, -3.42)\": 30.6, \"(-3.42, -3.26)\": 29.2, \"(-3.26, -3.12)\": 27.6, \"(-3.12, -2.97)\": 26.0, \"(-2.97, -2.79)\": 24.5, \"(-2.79, -2.62)\": 22.9, \"(-2.62, -2.45)\": 21.3, \"(-2.45, -2.29)\": 19.9, \"(-2.29, -2.12)\": 18.3, \"(-2.12, -1.93)\": 16.8, \"(-1.93, -1.72)\": 15.3, \"(-1.72, -1.52)\": 13.8, \"(-1.52, -1.29)\": 12.3, \"(-1.29, -1.05)\": 10.7, \"(-1.05, -0.8)\": 9.3, \"(-0.8, -0.51)\": 7.8, \"(-0.51, -0.22)\": 6.3, \"(-0.22, 0.2)\": 4.8, \"(0.2, 0.65)\": 3.3, \"(0.65, 1.31)\": 1.9, \"(1.31, 3.39)\": 0.4, \"(3.39, 3.82)\": 1.9, \"(3.82, 4.19)\": 3.4, \"(4.19, 4.51)\": 4.8, \"(4.51, 4.79)\": 6.3, \"(4.79, 5.04)\": 7.8, \"(5.04, 5.28)\": 9.3, \"(5.28, 5.5)\": 10.8, \"(5.5, 5.71)\": 12.4, \"(5.71, 5.92)\": 13.9, \"(5.92, 6.12)\": 15.4, \"(6.12, 6.29)\": 17.1, \"(6.29, 6.47)\": 18.5, \"(6.47, 6.63)\": 20.1, \"(6.63, 6.8)\": 21.5, \"(6.8, 6.96)\": 23.0, \"(6.96, 7.14)\": 24.8, \"(7.14, 7.3)\": 26.7, \"(7.3, 7.46)\": 28.3, \"(7.46, 7.6)\": 29.8, \"(7.6, 7.74)\": 31.5, \"(7.74, 7.87)\": 33.1, \"(7.87, 8.0)\": 34.5, \"(8.0, 8.13)\": 36.1, \"(8.13, 8.23)\": 37.7, \"(8.23, 8.37)\": 39.1, \"(8.37, 8.48)\": 40.7, \"(8.48, 8.6)\": 42.2, \"(8.6, 8.73)\": 43.7, \"(8.73, 8.83)\": 45.2, \"(8.83, 8.94)\": 46.9, \"(8.94, 9.06)\": 48.4, \"(9.06, 9.2)\": 50.2, \"(9.2, 9.28)\": 51.9, \"(9.28, 9.37)\": 53.3, \"(9.37, 9.52)\": 54.9, \"(9.52, 9.62)\": 56.6, \"(9.62, 9.72)\": 58.1, \"(9.72, 9.82)\": 59.7, \"(9.82, 9.92)\": 61.2, \"(9.92, 9.97)\": 62.9}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -9.92)\": 98.39, \"(-9.92, -9.85)\": 97.15, \"(-9.85, -9.81)\": 95.88, \"(-9.81, -9.74)\": 94.86, \"(-9.74, -9.68)\": 93.59, \"(-9.68, -9.62)\": 92.55, \"(-9.62, -9.55)\": 91.55, \"(-9.55, -9.46)\": 89.64, \"(-9.46, -9.41)\": 88.35, \"(-9.41, -9.33)\": 87.32, \"(-9.33, -9.25)\": 85.49, \"(-9.25, -9.17)\": 84.3, \"(-9.17, -9.13)\": 83.01, \"(-9.13, -9.05)\": 81.89, \"(-9.05, -8.97)\": 80.48, \"(-8.97, -8.93)\": 79.36, \"(-8.93, -8.86)\": 78.35, \"(-8.86, -8.79)\": 77.27, \"(-8.79, -8.73)\": 76.13, \"(-8.73, -8.65)\": 74.9, \"(-8.65, -8.59)\": 73.6, \"(-8.59, -8.51)\": 72.49, \"(-8.51, -8.43)\": 71.2, \"(-8.43, -8.36)\": 69.95, \"(-8.36, -8.3)\": 68.88, \"(-8.3, -8.24)\": 67.85, \"(-8.24, -8.2)\": 66.82, \"(-8.2, -8.09)\": 65.74, \"(-8.09, -7.99)\": 64.03, \"(-7.99, -7.92)\": 62.6, \"(-7.92, -7.84)\": 61.47, \"(-7.84, -7.77)\": 60.46, \"(-7.77, -7.7)\": 59.21, \"(-7.7, -7.64)\": 58.1, \"(-7.64, -7.56)\": 57.06, \"(-7.56, -7.47)\": 55.86, \"(-7.47, -7.38)\": 54.54, \"(-7.38, -7.3)\": 53.23, \"(-7.3, -7.2)\": 52.18, \"(-7.2, -7.12)\": 50.56, \"(-7.12, -7.05)\": 49.46, \"(-7.05, -6.96)\": 48.46, \"(-6.96, -6.86)\": 47.23, \"(-6.86, -6.78)\": 45.85, \"(-6.78, -6.69)\": 44.83, \"(-6.69, -6.61)\": 43.72, \"(-6.61, -6.48)\": 42.57, \"(-6.48, -6.39)\": 40.79, \"(-6.39, -6.31)\": 39.61, \"(-6.31, -6.19)\": 38.35, \"(-6.19, -6.11)\": 37.14, \"(-6.11, -6.01)\": 36.08, \"(-6.01, -5.91)\": 35.08, \"(-5.91, -5.8)\": 33.79, \"(-5.8, -5.71)\": 32.62, \"(-5.71, -5.62)\": 31.54, \"(-5.62, -5.54)\": 30.51, \"(-5.54, -5.42)\": 29.34, \"(-5.42, -5.32)\": 28.19, \"(-5.32, -5.21)\": 27.1, \"(-5.21, -5.13)\": 26.08, \"(-5.13, -4.99)\": 24.98, \"(-4.99, -4.88)\": 23.88, \"(-4.88, -4.78)\": 22.76, \"(-4.78, -4.66)\": 21.64, \"(-4.66, -4.55)\": 20.58, \"(-4.55, -4.4)\": 19.56, \"(-4.4, -4.27)\": 18.08, \"(-4.27, -4.1)\": 17.07, \"(-4.1, -3.94)\": 15.39, \"(-3.94, -3.78)\": 14.35, \"(-3.78, -3.67)\": 13.2, \"(-3.67, -3.51)\": 12.18, \"(-3.51, -3.34)\": 11.09, \"(-3.34, -3.19)\": 10.02, \"(-3.19, -3.01)\": 8.96, \"(-3.01, -2.81)\": 7.91, \"(-2.81, -2.64)\": 6.89, \"(-2.64, -2.43)\": 5.88, \"(-2.43, -2.18)\": 4.83, \"(-2.18, -1.92)\": 3.8, \"(-1.92, -1.68)\": 2.8, \"(-1.68, -1.35)\": 1.78, \"(-1.35, -0.86)\": 0.78, \"(-0.86, 1.35)\": -0.23, \"(1.35, 1.69)\": 0.83, \"(1.69, 1.95)\": 1.89, \"(1.95, 2.22)\": 2.9, \"(2.22, 2.45)\": 3.93, \"(2.45, 2.64)\": 4.99, \"(2.64, 2.82)\": 6.0, \"(2.82, 3.01)\": 7.09, \"(3.01, 3.17)\": 8.1, \"(3.17, 3.33)\": 9.18, \"(3.33, 3.48)\": 10.2, \"(3.48, 3.63)\": 11.21, \"(3.63, 3.76)\": 12.21, \"(3.76, 3.9)\": 13.23, \"(3.9, 4.02)\": 14.25, \"(4.02, 4.14)\": 15.25, \"(4.14, 4.33)\": 16.51, \"(4.33, 4.43)\": 18.04, \"(4.43, 4.59)\": 19.11, \"(4.59, 4.72)\": 20.23, \"(4.72, 4.83)\": 21.31, \"(4.83, 4.94)\": 22.41, \"(4.94, 5.06)\": 23.55, \"(5.06, 5.21)\": 24.74, \"(5.21, 5.33)\": 26.5, \"(5.33, 5.44)\": 27.56, \"(5.44, 5.56)\": 28.81, \"(5.56, 5.7)\": 30.24, \"(5.7, 5.79)\": 31.47, \"(5.79, 5.9)\": 32.75, \"(5.9, 5.97)\": 33.84, \"(5.97, 6.06)\": 34.84, \"(6.06, 6.17)\": 35.97, \"(6.17, 6.26)\": 37.13, \"(6.26, 6.36)\": 38.33, \"(6.36, 6.44)\": 39.56, \"(6.44, 6.53)\": 40.65, \"(6.53, 6.64)\": 42.19, \"(6.64, 6.72)\": 43.31, \"(6.72, 6.79)\": 44.31, \"(6.79, 6.87)\": 45.37, \"(6.87, 6.95)\": 46.4, \"(6.95, 7.04)\": 47.51, \"(7.04, 7.12)\": 48.74, \"(7.12, 7.21)\": 49.81, \"(7.21, 7.3)\": 51.11, \"(7.3, 7.37)\": 52.36, \"(7.37, 7.46)\": 53.51, \"(7.46, 7.55)\": 54.83, \"(7.55, 7.64)\": 56.16, \"(7.64, 7.75)\": 57.7, \"(7.75, 7.82)\": 59.25, \"(7.82, 7.88)\": 60.47, \"(7.88, 7.98)\": 61.58, \"(7.98, 8.07)\": 62.96, \"(8.07, 8.13)\": 64.28, \"(8.13, 8.22)\": 65.68, \"(8.22, 8.3)\": 66.71, \"(8.3, 8.37)\": 68.12, \"(8.37, 8.43)\": 69.16, \"(8.43, 8.52)\": 70.63, \"(8.52, 8.59)\": 71.64, \"(8.59, 8.63)\": 72.97, \"(8.63, 8.72)\": 74.06, \"(8.72, 8.78)\": 75.16, \"(8.78, 8.82)\": 76.16, \"(8.82, 8.89)\": 77.2, \"(8.89, 8.96)\": 78.23, \"(8.96, 9.02)\": 79.31, \"(9.02, 9.07)\": 80.46, \"(9.07, 9.14)\": 81.5, \"(9.14, 9.2)\": 82.54, \"(9.2, 9.26)\": 84.28, \"(9.26, 9.34)\": 85.34, \"(9.34, 9.43)\": 86.69, \"(9.43, 9.51)\": 88.17, \"(9.51, 9.59)\": 89.86, \"(9.59, 9.66)\": 91.37, \"(9.66, 9.73)\": 92.47, \"(9.73, 9.81)\": 94.14, \"(9.81, 9.86)\": 95.26, \"(9.86, 9.92)\": 96.46, \"(9.92, 9.96)\": 97.73}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.94, -9.85)\": 67.7, \"(-9.85, -9.78)\": 66.3, \"(-9.78, -9.67)\": 64.9, \"(-9.67, -9.56)\": 63.0, \"(-9.56, -9.45)\": 61.7, \"(-9.45, -9.35)\": 59.6, \"(-9.35, -9.26)\": 58.2, \"(-9.26, -9.17)\": 56.9, \"(-9.17, -9.07)\": 55.2, \"(-9.07, -8.96)\": 53.9, \"(-8.96, -8.86)\": 52.3, \"(-8.86, -8.79)\": 50.8, \"(-8.79, -8.66)\": 49.3, \"(-8.66, -8.56)\": 47.8, \"(-8.56, -8.46)\": 46.5, \"(-8.46, -8.35)\": 45.0, \"(-8.35, -8.26)\": 43.6, \"(-8.26, -8.14)\": 42.2, \"(-8.14, -8.02)\": 40.7, \"(-8.02, -7.91)\": 39.2, \"(-7.91, -7.81)\": 37.8, \"(-7.81, -7.7)\": 36.4, \"(-7.7, -7.59)\": 35.1, \"(-7.59, -7.47)\": 33.7, \"(-7.47, -7.36)\": 32.4, \"(-7.36, -7.24)\": 31.0, \"(-7.24, -7.1)\": 29.6, \"(-7.1, -6.95)\": 27.8, \"(-6.95, -6.81)\": 26.4, \"(-6.81, -6.68)\": 24.9, \"(-6.68, -6.55)\": 23.5, \"(-6.55, -6.4)\": 22.1, \"(-6.4, -6.23)\": 20.7, \"(-6.23, -6.05)\": 18.9, \"(-6.05, -5.9)\": 17.5, \"(-5.9, -5.74)\": 16.1, \"(-5.74, -5.59)\": 14.7, \"(-5.59, -5.41)\": 13.4, \"(-5.41, -5.22)\": 12.0, \"(-5.22, -5.03)\": 10.5, \"(-5.03, -4.81)\": 9.1, \"(-4.81, -4.6)\": 7.7, \"(-4.6, -4.36)\": 6.3, \"(-4.36, -4.11)\": 4.9, \"(-4.11, -3.81)\": 3.4, \"(-3.81, -3.51)\": 2.1, \"(-3.51, -3.11)\": 0.7, \"(-3.11, -2.62)\": -0.6, \"(-2.62, 0.11)\": -2.0, \"(0.11, 0.48)\": -0.6, \"(0.48, 0.78)\": 0.7, \"(0.78, 1.08)\": 2.1, \"(1.08, 1.33)\": 3.5, \"(1.33, 1.59)\": 4.9, \"(1.59, 1.8)\": 6.4, \"(1.8, 2.0)\": 7.7, \"(2.0, 2.18)\": 9.1, \"(2.18, 2.37)\": 10.4, \"(2.37, 2.55)\": 11.8, \"(2.55, 2.72)\": 13.2, \"(2.72, 2.89)\": 14.7, \"(2.89, 3.05)\": 16.2, \"(3.05, 3.2)\": 17.5, \"(3.2, 3.33)\": 18.9, \"(3.33, 3.49)\": 20.2, \"(3.49, 3.63)\": 21.7, \"(3.63, 3.74)\": 23.1, \"(3.74, 3.89)\": 24.4, \"(3.89, 4.06)\": 26.2, \"(4.06, 4.16)\": 27.5, \"(4.16, 4.29)\": 28.9, \"(4.29, 4.41)\": 30.3, \"(4.41, 4.53)\": 31.8, \"(4.53, 4.63)\": 33.1, \"(4.63, 4.77)\": 34.6, \"(4.77, 4.89)\": 36.0, \"(4.89, 4.97)\": 37.6, \"(4.97, 5.07)\": 38.9, \"(5.07, 5.19)\": 40.3, \"(5.19, 5.28)\": 41.7, \"(5.28, 5.42)\": 43.2, \"(5.42, 5.57)\": 45.3, \"(5.57, 5.65)\": 46.7, \"(5.65, 5.74)\": 48.0, \"(5.74, 5.83)\": 49.4, \"(5.83, 5.93)\": 50.8, \"(5.93, 6.04)\": 52.1, \"(6.04, 6.15)\": 53.8, \"(6.15, 6.26)\": 55.4, \"(6.26, 6.36)\": 57.4, \"(6.36, 6.46)\": 58.9, \"(6.46, 6.56)\": 60.3, \"(6.56, 6.65)\": 62.0, \"(6.65, 6.74)\": 63.3, \"(6.74, 6.82)\": 64.8, \"(6.82, 6.9)\": 66.1, \"(6.9, 7.01)\": 67.6, \"(7.01, 7.13)\": 69.7, \"(7.13, 7.24)\": 71.5, \"(7.24, 7.3)\": 73.1, \"(7.3, 7.39)\": 74.5, \"(7.39, 7.47)\": 76.0, \"(7.47, 7.57)\": 77.6, \"(7.57, 7.65)\": 79.2, \"(7.65, 7.72)\": 80.7, \"(7.72, 7.82)\": 82.2, \"(7.82, 7.9)\": 83.8, \"(7.9, 7.99)\": 85.6, \"(7.99, 8.07)\": 87.1, \"(8.07, 8.15)\": 88.5, \"(8.15, 8.28)\": 90.7, \"(8.28, 8.35)\": 92.5, \"(8.35, 8.44)\": 94.1, \"(8.44, 8.53)\": 96.2, \"(8.53, 8.61)\": 97.5, \"(8.61, 8.67)\": 99.3, \"(8.67, 8.75)\": 100.7, \"(8.75, 8.82)\": 102.0, \"(8.82, 8.92)\": 103.8, \"(8.92, 8.99)\": 105.6, \"(8.99, 9.06)\": 107.1, \"(9.06, 9.14)\": 108.6, \"(9.14, 9.19)\": 110.3, \"(9.19, 9.27)\": 111.7, \"(9.27, 9.37)\": 113.7, \"(9.37, 9.43)\": 115.2, \"(9.43, 9.52)\": 116.7, \"(9.52, 9.6)\": 118.6, \"(9.6, 9.66)\": 120.1, \"(9.66, 9.71)\": 121.4, \"(9.71, 9.77)\": 122.8, \"(9.77, 9.86)\": 124.2, \"(9.86, 9.96)\": 126.8, \"(9.96, 9.99)\": 128.5}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.96, -9.87)\": -981.6, \"(-9.87, -9.79)\": -955.1, \"(-9.79, -9.69)\": -932.7, \"(-9.69, -9.57)\": -904.2, \"(-9.57, -9.46)\": -866.0, \"(-9.46, -9.38)\": -845.6, \"(-9.38, -9.3)\": -819.6, \"(-9.3, -9.2)\": -796.3, \"(-9.2, -9.11)\": -774.0, \"(-9.11, -9.01)\": -753.7, \"(-9.01, -8.91)\": -727.4, \"(-8.91, -8.82)\": -705.4, \"(-8.82, -8.73)\": -684.2, \"(-8.73, -8.63)\": -662.3, \"(-8.63, -8.53)\": -642.0, \"(-8.53, -8.41)\": -618.4, \"(-8.41, -8.29)\": -590.8, \"(-8.29, -8.19)\": -567.9, \"(-8.19, -8.08)\": -548.0, \"(-8.08, -7.96)\": -523.1, \"(-7.96, -7.86)\": -503.0, \"(-7.86, -7.75)\": -482.3, \"(-7.75, -7.63)\": -462.2, \"(-7.63, -7.5)\": -441.6, \"(-7.5, -7.36)\": -420.2, \"(-7.36, -7.23)\": -393.7, \"(-7.23, -7.05)\": -371.0, \"(-7.05, -6.93)\": -348.8, \"(-6.93, -6.77)\": -328.8, \"(-6.77, -6.62)\": -309.0, \"(-6.62, -6.47)\": -288.8, \"(-6.47, -6.28)\": -268.8, \"(-6.28, -6.11)\": -247.8, \"(-6.11, -5.89)\": -226.5, \"(-5.89, -5.68)\": -203.7, \"(-5.68, -5.44)\": -183.1, \"(-5.44, -5.23)\": -162.3, \"(-5.23, -4.98)\": -141.7, \"(-4.98, -4.66)\": -121.6, \"(-4.66, -4.39)\": -100.7, \"(-4.39, -3.95)\": -80.5, \"(-3.95, -3.46)\": -60.5, \"(-3.46, -2.73)\": -40.7, \"(-2.73, -0.89)\": -20.4, \"(-0.89, 2.65)\": -0.7, \"(2.65, 3.4)\": 19.2, \"(3.4, 3.88)\": 39.1, \"(3.88, 4.26)\": 59.0, \"(4.26, 4.62)\": 79.1, \"(4.62, 4.95)\": 101.5, \"(4.95, 5.24)\": 124.1, \"(5.24, 5.48)\": 144.9, \"(5.48, 5.72)\": 166.2, \"(5.72, 5.91)\": 188.2, \"(5.91, 6.11)\": 208.0, \"(6.11, 6.29)\": 228.8, \"(6.29, 6.46)\": 249.7, \"(6.46, 6.62)\": 273.2, \"(6.62, 6.8)\": 293.0, \"(6.8, 6.95)\": 316.3, \"(6.95, 7.06)\": 336.2, \"(7.06, 7.22)\": 356.6, \"(7.22, 7.37)\": 378.8, \"(7.37, 7.46)\": 398.8, \"(7.46, 7.6)\": 418.8, \"(7.6, 7.72)\": 440.3, \"(7.72, 7.83)\": 461.9, \"(7.83, 7.95)\": 482.2, \"(7.95, 8.09)\": 510.1, \"(8.09, 8.2)\": 531.8, \"(8.2, 8.3)\": 553.7, \"(8.3, 8.41)\": 574.4, \"(8.41, 8.5)\": 594.9, \"(8.5, 8.62)\": 617.7, \"(8.62, 8.72)\": 642.2, \"(8.72, 8.81)\": 665.0, \"(8.81, 8.9)\": 689.1, \"(8.9, 9.0)\": 708.9, \"(9.0, 9.08)\": 728.8, \"(9.08, 9.17)\": 753.1, \"(9.17, 9.26)\": 778.1, \"(9.26, 9.36)\": 797.9, \"(9.36, 9.45)\": 824.2, \"(9.45, 9.55)\": 848.0, \"(9.55, 9.65)\": 878.4, \"(9.65, 9.7)\": 900.2, \"(9.7, 9.8)\": 921.8, \"(9.8, 9.89)\": 943.0, \"(9.89, 9.97)\": 972.2}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -9.89)\": 2958.3, \"(-9.89, -9.81)\": 2897.4, \"(-9.81, -9.68)\": 2812.0, \"(-9.68, -9.56)\": 2682.0, \"(-9.56, -9.47)\": 2614.1, \"(-9.47, -9.38)\": 2537.9, \"(-9.38, -9.29)\": 2468.1, \"(-9.29, -9.2)\": 2393.1, \"(-9.2, -9.1)\": 2330.5, \"(-9.1, -9.0)\": 2246.2, \"(-9.0, -8.91)\": 2181.9, \"(-8.91, -8.82)\": 2120.3, \"(-8.82, -8.73)\": 2055.4, \"(-8.73, -8.62)\": 1989.1, \"(-8.62, -8.51)\": 1908.4, \"(-8.51, -8.4)\": 1848.1, \"(-8.4, -8.3)\": 1768.3, \"(-8.3, -8.2)\": 1703.2, \"(-8.2, -8.08)\": 1642.7, \"(-8.08, -7.97)\": 1575.7, \"(-7.97, -7.86)\": 1511.5, \"(-7.86, -7.73)\": 1449.0, \"(-7.73, -7.62)\": 1385.1, \"(-7.62, -7.49)\": 1322.4, \"(-7.49, -7.38)\": 1260.6, \"(-7.38, -7.23)\": 1200.2, \"(-7.23, -7.12)\": 1133.8, \"(-7.12, -6.97)\": 1073.0, \"(-6.97, -6.82)\": 1012.6, \"(-6.82, -6.67)\": 950.1, \"(-6.67, -6.51)\": 884.4, \"(-6.51, -6.35)\": 824.5, \"(-6.35, -6.17)\": 764.7, \"(-6.17, -5.98)\": 702.6, \"(-5.98, -5.77)\": 639.3, \"(-5.77, -5.54)\": 574.1, \"(-5.54, -5.3)\": 507.0, \"(-5.3, -5.02)\": 442.9, \"(-5.02, -4.74)\": 377.2, \"(-4.74, -4.39)\": 316.1, \"(-4.39, -4.05)\": 255.3, \"(-4.05, -3.55)\": 194.5, \"(-3.55, -2.86)\": 130.4, \"(-2.86, -1.5)\": 70.2, \"(-1.5, 2.49)\": 9.8, \"(2.49, 3.34)\": -51.9, \"(3.34, 3.83)\": -113.0, \"(3.83, 4.27)\": -173.2, \"(4.27, 4.63)\": -242.4, \"(4.63, 4.96)\": -303.0, \"(4.96, 5.23)\": -370.0, \"(5.23, 5.5)\": -431.9, \"(5.5, 5.75)\": -511.6, \"(5.75, 5.96)\": -574.8, \"(5.96, 6.17)\": -641.3, \"(6.17, 6.3)\": -702.0, \"(6.3, 6.49)\": -763.0, \"(6.49, 6.64)\": -827.7, \"(6.64, 6.84)\": -888.6, \"(6.84, 6.96)\": -956.7, \"(6.96, 7.11)\": -1018.6, \"(7.11, 7.26)\": -1082.9, \"(7.26, 7.4)\": -1158.2, \"(7.4, 7.53)\": -1219.9, \"(7.53, 7.65)\": -1286.5, \"(7.65, 7.78)\": -1349.6, \"(7.78, 7.91)\": -1429.7, \"(7.91, 8.01)\": -1491.5, \"(8.01, 8.16)\": -1579.4, \"(8.16, 8.28)\": -1640.6, \"(8.28, 8.38)\": -1703.9, \"(8.38, 8.48)\": -1766.3, \"(8.48, 8.57)\": -1832.3, \"(8.57, 8.65)\": -1894.9, \"(8.65, 8.75)\": -1958.6, \"(8.75, 8.87)\": -2021.5, \"(8.87, 8.97)\": -2108.5, \"(8.97, 9.05)\": -2172.1, \"(9.05, 9.13)\": -2237.2, \"(9.13, 9.25)\": -2314.5, \"(9.25, 9.32)\": -2383.5, \"(9.32, 9.41)\": -2450.4, \"(9.41, 9.49)\": -2510.6, \"(9.49, 9.58)\": -2579.4, \"(9.58, 9.64)\": -2642.5, \"(9.64, 9.74)\": -2709.6, \"(9.74, 9.82)\": -2777.4, \"(9.82, 9.92)\": -2841.5, \"(9.92, 10.0)\": -2946.7}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -9.96)\": 9925.4, \"(-9.96, -9.93)\": 9796.5, \"(-9.93, -9.9)\": 9661.4, \"(-9.9, -9.87)\": 9554.9, \"(-9.87, -9.84)\": 9418.4, \"(-9.84, -9.76)\": 9288.8, \"(-9.76, -9.7)\": 8939.3, \"(-9.7, -9.64)\": 8838.8, \"(-9.64, -9.58)\": 8517.3, \"(-9.58, -9.52)\": 8394.2, \"(-9.52, -9.47)\": 8158.8, \"(-9.47, -9.4)\": 7950.1, \"(-9.4, -9.35)\": 7749.0, \"(-9.35, -9.31)\": 7601.3, \"(-9.31, -9.27)\": 7473.3, \"(-9.27, -9.24)\": 7343.3, \"(-9.24, -9.16)\": 7209.1, \"(-9.16, -9.09)\": 6937.9, \"(-9.09, -9.05)\": 6809.9, \"(-9.05, -9.01)\": 6682.3, \"(-9.01, -8.96)\": 6567.6, \"(-8.96, -8.91)\": 6439.4, \"(-8.91, -8.87)\": 6272.3, \"(-8.87, -8.82)\": 6151.3, \"(-8.82, -8.78)\": 6018.8, \"(-8.78, -8.72)\": 5918.4, \"(-8.72, -8.65)\": 5727.7, \"(-8.65, -8.6)\": 5568.2, \"(-8.6, -8.54)\": 5452.7, \"(-8.54, -8.49)\": 5307.5, \"(-8.49, -8.45)\": 5201.6, \"(-8.45, -8.4)\": 5061.1, \"(-8.4, -8.36)\": 4937.8, \"(-8.36, -8.29)\": 4834.7, \"(-8.29, -8.23)\": 4689.8, \"(-8.23, -8.17)\": 4539.8, \"(-8.17, -8.13)\": 4433.5, \"(-8.13, -8.05)\": 4290.6, \"(-8.05, -8.0)\": 4179.2, \"(-8.0, -7.94)\": 4070.6, \"(-7.94, -7.87)\": 3950.9, \"(-7.87, -7.82)\": 3832.5, \"(-7.82, -7.76)\": 3714.3, \"(-7.76, -7.69)\": 3608.4, \"(-7.69, -7.64)\": 3476.8, \"(-7.64, -7.55)\": 3372.5, \"(-7.55, -7.49)\": 3240.1, \"(-7.49, -7.4)\": 3114.9, \"(-7.4, -7.32)\": 2986.2, \"(-7.32, -7.26)\": 2873.7, \"(-7.26, -7.19)\": 2745.2, \"(-7.19, -7.12)\": 2636.4, \"(-7.12, -7.03)\": 2518.3, \"(-7.03, -6.92)\": 2412.6, \"(-6.92, -6.83)\": 2281.7, \"(-6.83, -6.73)\": 2140.2, \"(-6.73, -6.64)\": 2038.3, \"(-6.64, -6.51)\": 1923.8, \"(-6.51, -6.4)\": 1777.9, \"(-6.4, -6.27)\": 1661.1, \"(-6.27, -6.1)\": 1499.1, \"(-6.1, -6.0)\": 1381.6, \"(-6.0, -5.84)\": 1271.8, \"(-5.84, -5.7)\": 1158.4, \"(-5.7, -5.55)\": 1055.8, \"(-5.55, -5.38)\": 937.1, \"(-5.38, -5.2)\": 828.2, \"(-5.2, -5.0)\": 723.0, \"(-5.0, -4.78)\": 622.8, \"(-4.78, -4.51)\": 517.8, \"(-4.51, -4.23)\": 416.4, \"(-4.23, -3.86)\": 312.5, \"(-3.86, -3.27)\": 211.5, \"(-3.27, -1.87)\": 111.0, \"(-1.87, 3.23)\": 11.3, \"(3.23, 3.81)\": 111.0, \"(3.81, 4.19)\": 210.8, \"(4.19, 4.47)\": 313.0, \"(4.47, 4.76)\": 412.7, \"(4.76, 5.0)\": 526.3, \"(5.0, 5.21)\": 628.6, \"(5.21, 5.39)\": 741.5, \"(5.39, 5.56)\": 855.7, \"(5.56, 5.71)\": 966.2, \"(5.71, 5.87)\": 1080.9, \"(5.87, 5.98)\": 1194.9, \"(5.98, 6.11)\": 1296.9, \"(6.11, 6.22)\": 1396.9, \"(6.22, 6.35)\": 1500.1, \"(6.35, 6.47)\": 1646.1, \"(6.47, 6.56)\": 1750.7, \"(6.56, 6.69)\": 1915.2, \"(6.69, 6.76)\": 2024.1, \"(6.76, 6.86)\": 2128.4, \"(6.86, 6.93)\": 2230.8, \"(6.93, 7.04)\": 2336.2, \"(7.04, 7.12)\": 2474.0, \"(7.12, 7.19)\": 2586.1, \"(7.19, 7.27)\": 2691.0, \"(7.27, 7.33)\": 2792.1, \"(7.33, 7.4)\": 2899.9, \"(7.4, 7.47)\": 3006.4, \"(7.47, 7.52)\": 3106.3, \"(7.52, 7.58)\": 3209.3, \"(7.58, 7.66)\": 3325.2, \"(7.66, 7.71)\": 3443.2, \"(7.71, 7.79)\": 3554.1, \"(7.79, 7.86)\": 3717.2, \"(7.86, 7.91)\": 3824.6, \"(7.91, 7.97)\": 3924.9, \"(7.97, 8.05)\": 4041.8, \"(8.05, 8.14)\": 4277.8, \"(8.14, 8.2)\": 4406.8, \"(8.2, 8.25)\": 4519.3, \"(8.25, 8.3)\": 4648.7, \"(8.3, 8.36)\": 4783.7, \"(8.36, 8.41)\": 4889.3, \"(8.41, 8.47)\": 5066.2, \"(8.47, 8.53)\": 5208.2, \"(8.53, 8.6)\": 5321.3, \"(8.6, 8.67)\": 5533.3, \"(8.67, 8.72)\": 5675.8, \"(8.72, 8.77)\": 5787.3, \"(8.77, 8.81)\": 5946.8, \"(8.81, 8.85)\": 6055.1, \"(8.85, 8.88)\": 6163.1, \"(8.88, 8.92)\": 6268.4, \"(8.92, 9.01)\": 6460.5, \"(9.01, 9.1)\": 6730.9, \"(9.1, 9.13)\": 6901.6, \"(9.13, 9.19)\": 7004.2, \"(9.19, 9.25)\": 7189.6, \"(9.25, 9.31)\": 7384.8, \"(9.31, 9.36)\": 7605.4, \"(9.36, 9.44)\": 7732.9, \"(9.44, 9.53)\": 8100.3, \"(9.53, 9.57)\": 8299.2, \"(9.57, 9.6)\": 8408.9, \"(9.6, 9.64)\": 8511.4, \"(9.64, 9.71)\": 8735.4, \"(9.71, 9.75)\": 8946.3, \"(9.75, 9.8)\": 9104.9, \"(9.8, 9.84)\": 9250.9, \"(9.84, 9.88)\": 9427.2, \"(9.88, 9.91)\": 9555.6, \"(9.91, 9.93)\": 9676.0}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.46)\": 1274.2, \"(-9.46, -8.75)\": 886.7, \"(-8.75, -7.28)\": 497.8, \"(-7.28, 0.69)\": 111.5, \"(0.69, 1.45)\": 492.6, \"(1.45, 1.97)\": 885.5, \"(1.97, 2.35)\": 1270.5, \"(2.35, 2.71)\": 1652.0, \"(2.71, 3.05)\": 2053.5, \"(3.05, 3.29)\": 2485.8, \"(3.29, 3.56)\": 2876.7, \"(3.56, 3.77)\": 3263.2, \"(3.77, 3.98)\": 3674.7, \"(3.98, 4.16)\": 4070.3, \"(4.16, 4.34)\": 4463.6, \"(4.34, 4.54)\": 4887.1, \"(4.54, 4.67)\": 5300.3, \"(4.67, 4.82)\": 5691.3, \"(4.82, 4.98)\": 6079.9, \"(4.98, 5.11)\": 6499.4, \"(5.11, 5.21)\": 6898.9, \"(5.21, 5.38)\": 7293.8, \"(5.38, 5.56)\": 7946.6, \"(5.56, 5.65)\": 8361.8, \"(5.65, 5.78)\": 8749.0, \"(5.78, 5.89)\": 9184.1, \"(5.89, 5.98)\": 9633.8, \"(5.98, 6.1)\": 10024.0, \"(6.1, 6.2)\": 10461.3, \"(6.2, 6.32)\": 10919.6, \"(6.32, 6.44)\": 11527.8, \"(6.44, 6.54)\": 11952.1, \"(6.54, 6.64)\": 12413.7, \"(6.64, 6.72)\": 12900.0, \"(6.72, 6.79)\": 13284.0, \"(6.79, 6.89)\": 13742.0, \"(6.89, 6.98)\": 14148.6, \"(6.98, 7.08)\": 14617.6, \"(7.08, 7.17)\": 15182.3, \"(7.17, 7.24)\": 15610.5, \"(7.24, 7.31)\": 16008.4, \"(7.31, 7.39)\": 16442.2, \"(7.39, 7.46)\": 16860.6, \"(7.46, 7.53)\": 17308.5, \"(7.53, 7.59)\": 17854.2, \"(7.59, 7.69)\": 18245.9, \"(7.69, 7.76)\": 18739.1, \"(7.76, 7.85)\": 19394.4, \"(7.85, 7.92)\": 19808.5, \"(7.92, 8.02)\": 20237.5, \"(8.02, 8.12)\": 21073.7, \"(8.12, 8.18)\": 21752.6, \"(8.18, 8.26)\": 22200.1, \"(8.26, 8.33)\": 22682.2, \"(8.33, 8.37)\": 23133.9, \"(8.37, 8.41)\": 23516.2, \"(8.41, 8.49)\": 23945.3, \"(8.49, 8.54)\": 24356.6, \"(8.54, 8.6)\": 24814.4, \"(8.6, 8.65)\": 25251.2, \"(8.65, 8.72)\": 25658.7, \"(8.72, 8.77)\": 26235.9, \"(8.77, 8.85)\": 26774.0, \"(8.85, 8.92)\": 27450.7, \"(8.92, 8.98)\": 27930.6, \"(8.98, 9.06)\": 28553.9, \"(9.06, 9.12)\": 29333.3, \"(9.12, 9.17)\": 29758.9, \"(9.17, 9.21)\": 30151.3, \"(9.21, 9.25)\": 30544.4, \"(9.25, 9.32)\": 31134.0, \"(9.32, 9.39)\": 31752.0, \"(9.39, 9.45)\": 32191.1, \"(9.45, 9.51)\": 32826.5, \"(9.51, 9.58)\": 33580.9, \"(9.58, 9.64)\": 34169.5, \"(9.64, 9.69)\": 34833.3, \"(9.69, 9.76)\": 35471.4, \"(9.76, 9.82)\": 36008.6, \"(9.82, 9.86)\": 36565.4, \"(9.86, 9.92)\": 37131.8, \"(9.92, 9.98)\": 37787.8}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.94)\": -99557.1, \"(-9.94, -9.87)\": -96593.9, \"(-9.87, -9.8)\": -92323.8, \"(-9.8, -9.75)\": -90239.8, \"(-9.75, -9.69)\": -87419.5, \"(-9.69, -9.66)\": -85244.4, \"(-9.66, -9.59)\": -82995.3, \"(-9.59, -9.53)\": -79941.3, \"(-9.53, -9.47)\": -77943.9, \"(-9.47, -9.42)\": -75872.4, \"(-9.42, -9.34)\": -73673.1, \"(-9.34, -9.27)\": -70761.4, \"(-9.27, -9.2)\": -67965.4, \"(-9.2, -9.13)\": -65606.9, \"(-9.13, -9.08)\": -63123.1, \"(-9.08, -8.99)\": -61011.9, \"(-8.99, -8.92)\": -58173.1, \"(-8.92, -8.85)\": -56091.4, \"(-8.85, -8.79)\": -54078.6, \"(-8.79, -8.69)\": -51785.0, \"(-8.69, -8.64)\": -49625.6, \"(-8.64, -8.54)\": -47329.4, \"(-8.54, -8.47)\": -45334.5, \"(-8.47, -8.37)\": -43209.7, \"(-8.37, -8.27)\": -40830.7, \"(-8.27, -8.21)\": -38709.7, \"(-8.21, -8.11)\": -36509.5, \"(-8.11, -7.98)\": -34502.1, \"(-7.98, -7.86)\": -31966.0, \"(-7.86, -7.74)\": -29902.9, \"(-7.74, -7.62)\": -27722.2, \"(-7.62, -7.49)\": -25582.8, \"(-7.49, -7.35)\": -23520.0, \"(-7.35, -7.22)\": -21271.2, \"(-7.22, -7.06)\": -19262.1, \"(-7.06, -6.85)\": -17069.6, \"(-6.85, -6.62)\": -14927.7, \"(-6.62, -6.36)\": -12436.0, \"(-6.36, -6.1)\": -10319.6, \"(-6.1, -5.75)\": -8248.6, \"(-5.75, -5.29)\": -6131.1, \"(-5.29, -4.62)\": -4096.1, \"(-4.62, -2.29)\": -2062.3, \"(-2.29, 4.53)\": -62.6, \"(4.53, 5.25)\": 1949.1, \"(5.25, 5.69)\": 3975.1, \"(5.69, 6.05)\": 6004.5, \"(6.05, 6.32)\": 8199.9, \"(6.32, 6.57)\": 10215.0, \"(6.57, 6.78)\": 12239.7, \"(6.78, 6.94)\": 14276.3, \"(6.94, 7.1)\": 16300.8, \"(7.1, 7.29)\": 18314.3, \"(7.29, 7.41)\": 20523.8, \"(7.41, 7.56)\": 22578.8, \"(7.56, 7.71)\": 25162.1, \"(7.71, 7.82)\": 27395.1, \"(7.82, 7.94)\": 29501.6, \"(7.94, 8.05)\": 31955.0, \"(8.05, 8.18)\": 33949.1, \"(8.18, 8.32)\": 37824.2, \"(8.32, 8.42)\": 40198.4, \"(8.42, 8.48)\": 42348.1, \"(8.48, 8.57)\": 44454.7, \"(8.57, 8.64)\": 46718.3, \"(8.64, 8.74)\": 48729.4, \"(8.74, 8.81)\": 51162.2, \"(8.81, 8.88)\": 53381.5, \"(8.88, 8.95)\": 55474.6, \"(8.95, 9.02)\": 57580.5, \"(9.02, 9.09)\": 59897.9, \"(9.09, 9.16)\": 62683.8, \"(9.16, 9.23)\": 64958.2, \"(9.23, 9.29)\": 67087.1, \"(9.29, 9.35)\": 69474.3, \"(9.35, 9.41)\": 71754.7, \"(9.41, 9.45)\": 74257.3, \"(9.45, 9.53)\": 76720.0, \"(9.53, 9.57)\": 79235.1, \"(9.57, 9.68)\": 81360.8, \"(9.68, 9.76)\": 86671.1, \"(9.76, 9.8)\": 88741.6, \"(9.8, 9.88)\": 91245.8, \"(9.88, 9.94)\": 95023.7, \"(9.94, 9.99)\": 97534.0}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.92)\": 97596.5, \"(-9.92, -9.87)\": 95386.4, \"(-9.87, -9.82)\": 92906.9, \"(-9.82, -9.77)\": 90789.5, \"(-9.77, -9.73)\": 88739.1, \"(-9.73, -9.67)\": 86372.3, \"(-9.67, -9.61)\": 83417.2, \"(-9.61, -9.55)\": 81399.7, \"(-9.55, -9.47)\": 78651.7, \"(-9.47, -9.43)\": 76343.1, \"(-9.43, -9.37)\": 74281.1, \"(-9.37, -9.31)\": 71960.0, \"(-9.31, -9.25)\": 69716.9, \"(-9.25, -9.18)\": 67306.3, \"(-9.18, -9.11)\": 64721.0, \"(-9.11, -9.05)\": 62448.9, \"(-9.05, -8.98)\": 60066.7, \"(-8.98, -8.84)\": 56569.9, \"(-8.84, -8.77)\": 53375.2, \"(-8.77, -8.67)\": 51396.9, \"(-8.67, -8.6)\": 48788.7, \"(-8.6, -8.52)\": 46641.7, \"(-8.52, -8.44)\": 44610.9, \"(-8.44, -8.4)\": 42620.4, \"(-8.4, -8.27)\": 40658.6, \"(-8.27, -8.18)\": 38372.2, \"(-8.18, -8.07)\": 36396.0, \"(-8.07, -7.97)\": 33978.4, \"(-7.97, -7.86)\": 31832.1, \"(-7.86, -7.74)\": 29861.4, \"(-7.74, -7.61)\": 27695.1, \"(-7.61, -7.44)\": 24874.1, \"(-7.44, -7.31)\": 22722.9, \"(-7.31, -7.14)\": 20565.6, \"(-7.14, -6.95)\": 18333.0, \"(-6.95, -6.74)\": 15934.8, \"(-6.74, -6.54)\": 13902.4, \"(-6.54, -6.31)\": 11943.2, \"(-6.31, -6.02)\": 9987.1, \"(-6.02, -5.7)\": 7940.7, \"(-5.7, -5.23)\": 5925.0, \"(-5.23, -4.53)\": 3864.7, \"(-4.53, 2.3)\": 1883.6, \"(2.3, 4.57)\": -76.3, \"(4.57, 5.27)\": -2037.1, \"(5.27, 5.71)\": -4056.9, \"(5.71, 6.04)\": -6043.2, \"(6.04, 6.34)\": -8145.1, \"(6.34, 6.56)\": -10131.9, \"(6.56, 6.76)\": -12232.2, \"(6.76, 6.97)\": -14359.1, \"(6.97, 7.14)\": -16496.5, \"(7.14, 7.29)\": -18634.4, \"(7.29, 7.44)\": -20792.0, \"(7.44, 7.56)\": -22972.9, \"(7.56, 7.7)\": -24955.7, \"(7.7, 7.81)\": -27051.9, \"(7.81, 7.92)\": -29257.6, \"(7.92, 8.03)\": -31248.9, \"(8.03, 8.11)\": -33285.0, \"(8.11, 8.22)\": -35417.7, \"(8.22, 8.32)\": -37847.2, \"(8.32, 8.41)\": -39947.8, \"(8.41, 8.51)\": -42702.9, \"(8.51, 8.59)\": -44771.4, \"(8.59, 8.66)\": -46756.9, \"(8.66, 8.73)\": -48792.3, \"(8.73, 8.8)\": -51013.6, \"(8.8, 8.88)\": -53144.3, \"(8.88, 8.96)\": -55753.0, \"(8.96, 9.03)\": -57851.1, \"(9.03, 9.09)\": -60222.0, \"(9.09, 9.16)\": -62299.4, \"(9.16, 9.23)\": -64844.5, \"(9.23, 9.29)\": -67171.3, \"(9.29, 9.37)\": -69567.5, \"(9.37, 9.42)\": -73029.5, \"(9.42, 9.5)\": -75308.4, \"(9.5, 9.58)\": -79080.1, \"(9.58, 9.64)\": -81046.9, \"(9.64, 9.7)\": -83741.1, \"(9.7, 9.74)\": -85870.7, \"(9.74, 9.81)\": -88266.1, \"(9.81, 9.86)\": -91495.1, \"(9.86, 9.93)\": -94432.6, \"(9.93, 9.97)\": -97692.9}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -0.1)\": -1.003, \"(-0.1, -0.01)\": -0.981, \"(-0.01, -0.0)\": -0.903, \"(-0.0, 0.01)\": 0.828, \"(0.01, 0.02)\": 0.938, \"(0.02, 0.55)\": 0.979, \"(0.55, 9.97)\": 0.999}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -0.24)\": 1.004, \"(-0.24, -0.02)\": 0.984, \"(-0.02, -0.0)\": 0.924, \"(-0.0, 0.02)\": -0.664, \"(0.02, 0.3)\": -0.974, \"(0.3, 9.97)\": -0.996}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.96, -0.21)\": -1.003, \"(-0.21, -0.13)\": -0.982, \"(-0.13, -0.06)\": -0.929, \"(-0.06, -0.0)\": -0.883, \"(-0.0, 0.03)\": 0.704, \"(0.03, 0.34)\": 0.978, \"(0.34, 9.99)\": 0.998}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.96, -3.18)\": -1.007, \"(-3.18, -3.09)\": -0.986, \"(-3.09, -3.05)\": -0.941, \"(-3.05, -2.99)\": -0.839, \"(-2.99, -2.56)\": 0.969, \"(-2.56, 9.97)\": 0.99}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, 0.81)\": -1.002, \"(0.81, 0.97)\": -0.981, \"(0.97, 0.98)\": -0.928, \"(0.98, 1.0)\": -0.816, \"(1.0, 1.01)\": 0.877, \"(1.01, 1.01)\": 0.914, \"(1.01, 1.04)\": 0.944, \"(1.04, 1.4)\": 0.98, \"(1.4, 9.88)\": 1.001}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.87)\": 9.962, \"(-9.87, -9.75)\": 9.851, \"(-9.75, -9.63)\": 9.743, \"(-9.63, -9.5)\": 9.604, \"(-9.5, -9.38)\": 9.485, \"(-9.38, -9.26)\": 9.362, \"(-9.26, -9.16)\": 9.262, \"(-9.16, -9.02)\": 9.122, \"(-9.02, -8.91)\": 9.01, \"(-8.91, -8.79)\": 8.905, \"(-8.79, -8.66)\": 8.773, \"(-8.66, -8.55)\": 8.655, \"(-8.55, -8.45)\": 8.54, \"(-8.45, -8.34)\": 8.439, \"(-8.34, -8.2)\": 8.319, \"(-8.2, -8.11)\": 8.204, \"(-8.11, -8.0)\": 8.1, \"(-8.0, -7.89)\": 7.986, \"(-7.89, -7.77)\": 7.881, \"(-7.77, -7.66)\": 7.768, \"(-7.66, -7.54)\": 7.645, \"(-7.54, -7.43)\": 7.538, \"(-7.43, -7.34)\": 7.424, \"(-7.34, -7.22)\": 7.322, \"(-7.22, -7.11)\": 7.207, \"(-7.11, -7.01)\": 7.103, \"(-7.01, -6.89)\": 6.987, \"(-6.89, -6.75)\": 6.856, \"(-6.75, -6.66)\": 6.727, \"(-6.66, -6.52)\": 6.618, \"(-6.52, -6.42)\": 6.511, \"(-6.42, -6.3)\": 6.406, \"(-6.3, -6.18)\": 6.284, \"(-6.18, -6.06)\": 6.168, \"(-6.06, -5.94)\": 6.037, \"(-5.94, -5.81)\": 5.919, \"(-5.81, -5.7)\": 5.806, \"(-5.7, -5.58)\": 5.661, \"(-5.58, -5.47)\": 5.561, \"(-5.47, -5.35)\": 5.456, \"(-5.35, -5.25)\": 5.345, \"(-5.25, -5.14)\": 5.226, \"(-5.14, -5.01)\": 5.122, \"(-5.01, -4.92)\": 5.013, \"(-4.92, -4.81)\": 4.897, \"(-4.81, -4.7)\": 4.792, \"(-4.7, -4.58)\": 4.684, \"(-4.58, -4.46)\": 4.555, \"(-4.46, -4.33)\": 4.434, \"(-4.33, -4.2)\": 4.318, \"(-4.2, -4.07)\": 4.17, \"(-4.07, -3.97)\": 4.058, \"(-3.97, -3.85)\": 3.956, \"(-3.85, -3.72)\": 3.826, \"(-3.72, -3.6)\": 3.702, \"(-3.6, -3.5)\": 3.6, \"(-3.5, -3.39)\": 3.492, \"(-3.39, -3.32)\": 3.393, \"(-3.32, -3.2)\": 3.289, \"(-3.2, -3.07)\": 3.167, \"(-3.07, -2.95)\": 3.056, \"(-2.95, -2.85)\": 2.945, \"(-2.85, -2.74)\": 2.824, \"(-2.74, -2.64)\": 2.717, \"(-2.64, -2.5)\": 2.602, \"(-2.5, -2.4)\": 2.493, \"(-2.4, -2.29)\": 2.388, \"(-2.29, -2.19)\": 2.288, \"(-2.19, -2.02)\": 2.161, \"(-2.02, -1.89)\": 1.976, \"(-1.89, -1.77)\": 1.858, \"(-1.77, -1.61)\": 1.719, \"(-1.61, -1.52)\": 1.611, \"(-1.52, -1.39)\": 1.503, \"(-1.39, -1.28)\": 1.385, \"(-1.28, -1.15)\": 1.272, \"(-1.15, -1.02)\": 1.126, \"(-1.02, -0.92)\": 1.008, \"(-0.92, -0.79)\": 0.89, \"(-0.79, -0.66)\": 0.767, \"(-0.66, -0.54)\": 0.643, \"(-0.54, -0.43)\": 0.533, \"(-0.43, -0.3)\": 0.412, \"(-0.3, -0.17)\": 0.287, \"(-0.17, -0.06)\": 0.151, \"(-0.06, 0.15)\": 0.048, \"(0.15, 0.26)\": 0.161, \"(0.26, 0.39)\": 0.266, \"(0.39, 0.51)\": 0.403, \"(0.51, 0.63)\": 0.524, \"(0.63, 0.75)\": 0.654, \"(0.75, 0.86)\": 0.757, \"(0.86, 0.96)\": 0.857, \"(0.96, 1.07)\": 0.974, \"(1.07, 1.16)\": 1.079, \"(1.16, 1.29)\": 1.193, \"(1.29, 1.4)\": 1.316, \"(1.4, 1.53)\": 1.416, \"(1.53, 1.65)\": 1.541, \"(1.65, 1.78)\": 1.672, \"(1.78, 1.9)\": 1.793, \"(1.9, 2.0)\": 1.899, \"(2.0, 2.12)\": 2.006, \"(2.12, 2.25)\": 2.149, \"(2.25, 2.37)\": 2.26, \"(2.37, 2.47)\": 2.366, \"(2.47, 2.6)\": 2.492, \"(2.6, 2.71)\": 2.609, \"(2.71, 2.82)\": 2.717, \"(2.82, 2.91)\": 2.823, \"(2.91, 3.03)\": 2.933, \"(3.03, 3.14)\": 3.055, \"(3.14, 3.29)\": 3.166, \"(3.29, 3.42)\": 3.304, \"(3.42, 3.53)\": 3.431, \"(3.53, 3.64)\": 3.541, \"(3.64, 3.74)\": 3.643, \"(3.74, 3.86)\": 3.753, \"(3.86, 3.99)\": 3.888, \"(3.99, 4.09)\": 3.993, \"(4.09, 4.21)\": 4.097, \"(4.21, 4.3)\": 4.215, \"(4.3, 4.41)\": 4.319, \"(4.41, 4.53)\": 4.427, \"(4.53, 4.63)\": 4.537, \"(4.63, 4.74)\": 4.644, \"(4.74, 4.86)\": 4.756, \"(4.86, 5.01)\": 4.895, \"(5.01, 5.14)\": 5.032, \"(5.14, 5.26)\": 5.152, \"(5.26, 5.36)\": 5.264, \"(5.36, 5.48)\": 5.371, \"(5.48, 5.59)\": 5.488, \"(5.59, 5.72)\": 5.6, \"(5.72, 5.81)\": 5.713, \"(5.81, 5.9)\": 5.817, \"(5.9, 6.04)\": 5.943, \"(6.04, 6.14)\": 6.044, \"(6.14, 6.27)\": 6.147, \"(6.27, 6.4)\": 6.286, \"(6.4, 6.5)\": 6.413, \"(6.5, 6.62)\": 6.516, \"(6.62, 6.72)\": 6.622, \"(6.72, 6.86)\": 6.75, \"(6.86, 6.97)\": 6.867, \"(6.97, 7.08)\": 6.977, \"(7.08, 7.19)\": 7.099, \"(7.19, 7.3)\": 7.203, \"(7.3, 7.42)\": 7.304, \"(7.42, 7.52)\": 7.42, \"(7.52, 7.62)\": 7.53, \"(7.62, 7.75)\": 7.633, \"(7.75, 7.84)\": 7.749, \"(7.84, 7.98)\": 7.858, \"(7.98, 8.11)\": 8.019, \"(8.11, 8.21)\": 8.124, \"(8.21, 8.32)\": 8.224, \"(8.32, 8.44)\": 8.348, \"(8.44, 8.56)\": 8.457, \"(8.56, 8.7)\": 8.588, \"(8.7, 8.81)\": 8.705, \"(8.81, 8.92)\": 8.821, \"(8.92, 9.02)\": 8.928, \"(9.02, 9.15)\": 9.039, \"(9.15, 9.3)\": 9.182, \"(9.3, 9.43)\": 9.322, \"(9.43, 9.53)\": 9.446, \"(9.53, 9.66)\": 9.551, \"(9.66, 9.75)\": 9.664, \"(9.75, 9.87)\": 9.774, \"(9.87, 9.99)\": 9.882, \"(9.99, 10.0)\": 9.993}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -9.9)\": -9.994, \"(-9.9, -9.81)\": -9.891, \"(-9.81, -9.69)\": -9.775, \"(-9.69, -9.57)\": -9.656, \"(-9.57, -9.47)\": -9.557, \"(-9.47, -9.33)\": -9.429, \"(-9.33, -9.23)\": -9.326, \"(-9.23, -9.12)\": -9.221, \"(-9.12, -9.02)\": -9.112, \"(-9.02, -8.92)\": -9.012, \"(-8.92, -8.8)\": -8.894, \"(-8.8, -8.64)\": -8.769, \"(-8.64, -8.55)\": -8.638, \"(-8.55, -8.41)\": -8.53, \"(-8.41, -8.3)\": -8.383, \"(-8.3, -8.16)\": -8.27, \"(-8.16, -8.05)\": -8.15, \"(-8.05, -7.93)\": -8.045, \"(-7.93, -7.82)\": -7.91, \"(-7.82, -7.71)\": -7.807, \"(-7.71, -7.6)\": -7.703, \"(-7.6, -7.47)\": -7.569, \"(-7.47, -7.36)\": -7.455, \"(-7.36, -7.27)\": -7.355, \"(-7.27, -7.16)\": -7.247, \"(-7.16, -7.05)\": -7.144, \"(-7.05, -6.92)\": -7.032, \"(-6.92, -6.84)\": -6.922, \"(-6.84, -6.72)\": -6.819, \"(-6.72, -6.62)\": -6.715, \"(-6.62, -6.52)\": -6.612, \"(-6.52, -6.43)\": -6.504, \"(-6.43, -6.31)\": -6.397, \"(-6.31, -6.2)\": -6.294, \"(-6.2, -6.09)\": -6.188, \"(-6.09, -5.99)\": -6.085, \"(-5.99, -5.9)\": -5.985, \"(-5.9, -5.76)\": -5.878, \"(-5.76, -5.6)\": -5.697, \"(-5.6, -5.48)\": -5.578, \"(-5.48, -5.36)\": -5.478, \"(-5.36, -5.26)\": -5.367, \"(-5.26, -5.15)\": -5.245, \"(-5.15, -5.06)\": -5.131, \"(-5.06, -4.91)\": -5.019, \"(-4.91, -4.81)\": -4.916, \"(-4.81, -4.7)\": -4.804, \"(-4.7, -4.6)\": -4.701, \"(-4.6, -4.49)\": -4.589, \"(-4.49, -4.39)\": -4.473, \"(-4.39, -4.26)\": -4.367, \"(-4.26, -4.13)\": -4.239, \"(-4.13, -4.04)\": -4.13, \"(-4.04, -3.91)\": -4.014, \"(-3.91, -3.81)\": -3.905, \"(-3.81, -3.71)\": -3.803, \"(-3.71, -3.59)\": -3.691, \"(-3.59, -3.49)\": -3.58, \"(-3.49, -3.37)\": -3.466, \"(-3.37, -3.26)\": -3.356, \"(-3.26, -3.15)\": -3.233, \"(-3.15, -3.04)\": -3.12, \"(-3.04, -2.93)\": -3.015, \"(-2.93, -2.82)\": -2.912, \"(-2.82, -2.71)\": -2.802, \"(-2.71, -2.59)\": -2.687, \"(-2.59, -2.47)\": -2.576, \"(-2.47, -2.37)\": -2.454, \"(-2.37, -2.21)\": -2.347, \"(-2.21, -2.04)\": -2.139, \"(-2.04, -1.93)\": -2.038, \"(-1.93, -1.82)\": -1.91, \"(-1.82, -1.71)\": -1.806, \"(-1.71, -1.62)\": -1.697, \"(-1.62, -1.5)\": -1.596, \"(-1.5, -1.4)\": -1.496, \"(-1.4, -1.28)\": -1.378, \"(-1.28, -1.18)\": -1.273, \"(-1.18, -1.06)\": -1.159, \"(-1.06, -0.95)\": -1.047, \"(-0.95, -0.84)\": -0.937, \"(-0.84, -0.73)\": -0.833, \"(-0.73, -0.6)\": -0.713, \"(-0.6, -0.45)\": -0.561, \"(-0.45, -0.33)\": -0.426, \"(-0.33, -0.22)\": -0.327, \"(-0.22, -0.1)\": -0.201, \"(-0.1, 0.17)\": -0.067, \"(0.17, 0.28)\": -0.179, \"(0.28, 0.41)\": -0.307, \"(0.41, 0.52)\": -0.415, \"(0.52, 0.63)\": -0.545, \"(0.63, 0.74)\": -0.645, \"(0.74, 0.86)\": -0.751, \"(0.86, 0.99)\": -0.891, \"(0.99, 1.11)\": -1.006, \"(1.11, 1.21)\": -1.125, \"(1.21, 1.32)\": -1.226, \"(1.32, 1.44)\": -1.35, \"(1.44, 1.56)\": -1.459, \"(1.56, 1.68)\": -1.566, \"(1.68, 1.8)\": -1.703, \"(1.8, 1.95)\": -1.827, \"(1.95, 2.08)\": -1.985, \"(2.08, 2.17)\": -2.088, \"(2.17, 2.29)\": -2.19, \"(2.29, 2.43)\": -2.307, \"(2.43, 2.56)\": -2.464, \"(2.56, 2.69)\": -2.592, \"(2.69, 2.79)\": -2.7, \"(2.79, 2.9)\": -2.803, \"(2.9, 3.0)\": -2.905, \"(3.0, 3.12)\": -3.01, \"(3.12, 3.23)\": -3.118, \"(3.23, 3.34)\": -3.237, \"(3.34, 3.44)\": -3.344, \"(3.44, 3.56)\": -3.457, \"(3.56, 3.68)\": -3.582, \"(3.68, 3.8)\": -3.686, \"(3.8, 3.89)\": -3.8, \"(3.89, 4.01)\": -3.903, \"(4.01, 4.11)\": -4.011, \"(4.11, 4.23)\": -4.124, \"(4.23, 4.31)\": -4.228, \"(4.31, 4.43)\": -4.328, \"(4.43, 4.53)\": -4.43, \"(4.53, 4.62)\": -4.535, \"(4.62, 4.75)\": -4.644, \"(4.75, 4.85)\": -4.76, \"(4.85, 4.98)\": -4.865, \"(4.98, 5.1)\": -4.993, \"(5.1, 5.2)\": -5.11, \"(5.2, 5.3)\": -5.216, \"(5.3, 5.43)\": -5.315, \"(5.43, 5.52)\": -5.441, \"(5.52, 5.63)\": -5.543, \"(5.63, 5.77)\": -5.671, \"(5.77, 5.86)\": -5.785, \"(5.86, 5.97)\": -5.885, \"(5.97, 6.09)\": -5.984, \"(6.09, 6.19)\": -6.086, \"(6.19, 6.3)\": -6.21, \"(6.3, 6.43)\": -6.33, \"(6.43, 6.55)\": -6.443, \"(6.55, 6.64)\": -6.566, \"(6.64, 6.76)\": -6.668, \"(6.76, 6.88)\": -6.79, \"(6.88, 6.99)\": -6.893, \"(6.99, 7.1)\": -7.004, \"(7.1, 7.22)\": -7.124, \"(7.22, 7.37)\": -7.255, \"(7.37, 7.48)\": -7.375, \"(7.48, 7.62)\": -7.5, \"(7.62, 7.74)\": -7.64, \"(7.74, 7.85)\": -7.747, \"(7.85, 7.96)\": -7.858, \"(7.96, 8.08)\": -7.99, \"(8.08, 8.19)\": -8.092, \"(8.19, 8.3)\": -8.193, \"(8.3, 8.43)\": -8.318, \"(8.43, 8.56)\": -8.468, \"(8.56, 8.66)\": -8.568, \"(8.66, 8.8)\": -8.687, \"(8.8, 8.91)\": -8.807, \"(8.91, 8.99)\": -8.91, \"(8.99, 9.13)\": -9.02, \"(9.13, 9.24)\": -9.147, \"(9.24, 9.34)\": -9.255, \"(9.34, 9.44)\": -9.357, \"(9.44, 9.58)\": -9.459, \"(9.58, 9.7)\": -9.609, \"(9.7, 9.83)\": -9.719, \"(9.83, 9.94)\": -9.848, \"(9.94, 10.0)\": -9.95}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -9.88)\": -9.968, \"(-9.88, -9.77)\": -9.86, \"(-9.77, -9.64)\": -9.756, \"(-9.64, -9.51)\": -9.62, \"(-9.51, -9.41)\": -9.508, \"(-9.41, -9.29)\": -9.395, \"(-9.29, -9.19)\": -9.286, \"(-9.19, -9.11)\": -9.182, \"(-9.11, -8.98)\": -9.076, \"(-8.98, -8.85)\": -8.956, \"(-8.85, -8.73)\": -8.835, \"(-8.73, -8.62)\": -8.723, \"(-8.62, -8.49)\": -8.579, \"(-8.49, -8.38)\": -8.473, \"(-8.38, -8.27)\": -8.369, \"(-8.27, -8.16)\": -8.265, \"(-8.16, -8.03)\": -8.125, \"(-8.03, -7.91)\": -8.011, \"(-7.91, -7.8)\": -7.899, \"(-7.8, -7.69)\": -7.795, \"(-7.69, -7.6)\": -7.678, \"(-7.6, -7.45)\": -7.569, \"(-7.45, -7.36)\": -7.449, \"(-7.36, -7.25)\": -7.349, \"(-7.25, -7.15)\": -7.239, \"(-7.15, -7.0)\": -7.099, \"(-7.0, -6.88)\": -6.983, \"(-6.88, -6.77)\": -6.866, \"(-6.77, -6.69)\": -6.76, \"(-6.69, -6.56)\": -6.66, \"(-6.56, -6.44)\": -6.535, \"(-6.44, -6.34)\": -6.431, \"(-6.34, -6.23)\": -6.329, \"(-6.23, -6.12)\": -6.225, \"(-6.12, -6.02)\": -6.123, \"(-6.02, -5.91)\": -6.009, \"(-5.91, -5.77)\": -5.888, \"(-5.77, -5.68)\": -5.771, \"(-5.68, -5.57)\": -5.667, \"(-5.57, -5.46)\": -5.562, \"(-5.46, -5.37)\": -5.459, \"(-5.37, -5.26)\": -5.357, \"(-5.26, -5.13)\": -5.246, \"(-5.13, -5.0)\": -5.111, \"(-5.0, -4.93)\": -5.005, \"(-4.93, -4.8)\": -4.9, \"(-4.8, -4.67)\": -4.787, \"(-4.67, -4.57)\": -4.669, \"(-4.57, -4.48)\": -4.564, \"(-4.48, -4.36)\": -4.464, \"(-4.36, -4.24)\": -4.336, \"(-4.24, -4.13)\": -4.235, \"(-4.13, -4.02)\": -4.122, \"(-4.02, -3.88)\": -3.98, \"(-3.88, -3.73)\": -3.847, \"(-3.73, -3.61)\": -3.692, \"(-3.61, -3.48)\": -3.579, \"(-3.48, -3.38)\": -3.476, \"(-3.38, -3.26)\": -3.373, \"(-3.26, -3.15)\": -3.237, \"(-3.15, -3.02)\": -3.122, \"(-3.02, -2.91)\": -3.016, \"(-2.91, -2.79)\": -2.898, \"(-2.79, -2.67)\": -2.765, \"(-2.67, -2.57)\": -2.664, \"(-2.57, -2.47)\": -2.561, \"(-2.47, -2.34)\": -2.455, \"(-2.34, -2.25)\": -2.34, \"(-2.25, -2.14)\": -2.235, \"(-2.14, -2.02)\": -2.134, \"(-2.02, -1.92)\": -2.004, \"(-1.92, -1.81)\": -1.903, \"(-1.81, -1.71)\": -1.798, \"(-1.71, -1.6)\": -1.697, \"(-1.6, -1.48)\": -1.581, \"(-1.48, -1.36)\": -1.468, \"(-1.36, -1.26)\": -1.362, \"(-1.26, -1.14)\": -1.25, \"(-1.14, -1.03)\": -1.125, \"(-1.03, -0.92)\": -1.022, \"(-0.92, -0.83)\": -0.917, \"(-0.83, -0.72)\": -0.816, \"(-0.72, -0.58)\": -0.69, \"(-0.58, -0.49)\": -0.562, \"(-0.49, -0.37)\": -0.455, \"(-0.37, -0.25)\": -0.352, \"(-0.25, -0.13)\": -0.23, \"(-0.13, 0.21)\": -0.112, \"(0.21, 0.33)\": -0.219, \"(0.33, 0.47)\": -0.372, \"(0.47, 0.57)\": -0.474, \"(0.57, 0.69)\": -0.577, \"(0.69, 0.8)\": -0.694, \"(0.8, 0.91)\": -0.813, \"(0.91, 1.02)\": -0.921, \"(1.02, 1.13)\": -1.035, \"(1.13, 1.24)\": -1.138, \"(1.24, 1.37)\": -1.267, \"(1.37, 1.5)\": -1.374, \"(1.5, 1.64)\": -1.535, \"(1.64, 1.78)\": -1.649, \"(1.78, 1.91)\": -1.819, \"(1.91, 2.03)\": -1.925, \"(2.03, 2.11)\": -2.031, \"(2.11, 2.22)\": -2.132, \"(2.22, 2.33)\": -2.234, \"(2.33, 2.45)\": -2.337, \"(2.45, 2.59)\": -2.493, \"(2.59, 2.72)\": -2.603, \"(2.72, 2.82)\": -2.714, \"(2.82, 2.92)\": -2.827, \"(2.92, 3.05)\": -2.94, \"(3.05, 3.21)\": -3.091, \"(3.21, 3.31)\": -3.209, \"(3.31, 3.41)\": -3.311, \"(3.41, 3.51)\": -3.414, \"(3.51, 3.63)\": -3.523, \"(3.63, 3.73)\": -3.636, \"(3.73, 3.86)\": -3.741, \"(3.86, 3.97)\": -3.878, \"(3.97, 4.09)\": -3.997, \"(4.09, 4.2)\": -4.099, \"(4.2, 4.31)\": -4.211, \"(4.31, 4.41)\": -4.323, \"(4.41, 4.53)\": -4.429, \"(4.53, 4.65)\": -4.573, \"(4.65, 4.79)\": -4.685, \"(4.79, 4.88)\": -4.798, \"(4.88, 5.01)\": -4.899, \"(5.01, 5.12)\": -5.015, \"(5.12, 5.24)\": -5.121, \"(5.24, 5.34)\": -5.246, \"(5.34, 5.42)\": -5.354, \"(5.42, 5.56)\": -5.456, \"(5.56, 5.66)\": -5.562, \"(5.66, 5.77)\": -5.663, \"(5.77, 5.88)\": -5.774, \"(5.88, 5.97)\": -5.881, \"(5.97, 6.09)\": -5.99, \"(6.09, 6.2)\": -6.1, \"(6.2, 6.31)\": -6.22, \"(6.31, 6.46)\": -6.33, \"(6.46, 6.59)\": -6.484, \"(6.59, 6.7)\": -6.585, \"(6.7, 6.79)\": -6.706, \"(6.79, 6.93)\": -6.813, \"(6.93, 7.03)\": -6.945, \"(7.03, 7.14)\": -7.051, \"(7.14, 7.24)\": -7.151, \"(7.24, 7.33)\": -7.255, \"(7.33, 7.45)\": -7.36, \"(7.45, 7.57)\": -7.469, \"(7.57, 7.68)\": -7.596, \"(7.68, 7.8)\": -7.698, \"(7.8, 7.91)\": -7.801, \"(7.91, 8.03)\": -7.931, \"(8.03, 8.13)\": -8.041, \"(8.13, 8.27)\": -8.164, \"(8.27, 8.38)\": -8.28, \"(8.38, 8.49)\": -8.383, \"(8.49, 8.61)\": -8.507, \"(8.61, 8.73)\": -8.627, \"(8.73, 8.83)\": -8.746, \"(8.83, 8.96)\": -8.855, \"(8.96, 9.05)\": -8.957, \"(9.05, 9.17)\": -9.072, \"(9.17, 9.28)\": -9.189, \"(9.28, 9.39)\": -9.302, \"(9.39, 9.5)\": -9.402, \"(9.5, 9.62)\": -9.505, \"(9.62, 9.74)\": -9.638, \"(9.74, 9.85)\": -9.742, \"(9.85, 9.94)\": -9.849, \"(9.94, 9.99)\": -9.957}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.86)\": 14.94, \"(-9.86, -9.72)\": 14.69, \"(-9.72, -9.58)\": 14.43, \"(-9.58, -9.42)\": 14.12, \"(-9.42, -9.28)\": 13.8, \"(-9.28, -9.16)\": 13.53, \"(-9.16, -9.0)\": 13.25, \"(-9.0, -8.87)\": 12.97, \"(-8.87, -8.73)\": 12.72, \"(-8.73, -8.61)\": 12.44, \"(-8.61, -8.47)\": 12.17, \"(-8.47, -8.33)\": 11.92, \"(-8.33, -8.2)\": 11.65, \"(-8.2, -8.08)\": 11.38, \"(-8.08, -7.91)\": 11.13, \"(-7.91, -7.76)\": 10.78, \"(-7.76, -7.66)\": 10.52, \"(-7.66, -7.51)\": 10.26, \"(-7.51, -7.41)\": 10.0, \"(-7.41, -7.23)\": 9.73, \"(-7.23, -7.09)\": 9.42, \"(-7.09, -6.95)\": 9.13, \"(-6.95, -6.79)\": 8.86, \"(-6.79, -6.63)\": 8.49, \"(-6.63, -6.49)\": 8.24, \"(-6.49, -6.36)\": 7.96, \"(-6.36, -6.25)\": 7.7, \"(-6.25, -6.09)\": 7.44, \"(-6.09, -5.96)\": 7.18, \"(-5.96, -5.82)\": 6.89, \"(-5.82, -5.68)\": 6.6, \"(-5.68, -5.53)\": 6.32, \"(-5.53, -5.39)\": 6.03, \"(-5.39, -5.25)\": 5.77, \"(-5.25, -5.1)\": 5.49, \"(-5.1, -5.0)\": 5.21, \"(-5.0, -4.84)\": 4.92, \"(-4.84, -4.69)\": 4.64, \"(-4.69, -4.57)\": 4.36, \"(-4.57, -4.43)\": 4.1, \"(-4.43, -4.31)\": 3.84, \"(-4.31, -4.16)\": 3.59, \"(-4.16, -4.03)\": 3.33, \"(-4.03, -3.91)\": 3.04, \"(-3.91, -3.77)\": 2.78, \"(-3.77, -3.64)\": 2.51, \"(-3.64, -3.49)\": 2.24, \"(-3.49, -3.36)\": 1.97, \"(-3.36, -3.23)\": 1.71, \"(-3.23, -3.09)\": 1.43, \"(-3.09, -2.96)\": 1.17, \"(-2.96, -2.83)\": 0.89, \"(-2.83, -2.69)\": 0.62, \"(-2.69, -2.55)\": 0.37, \"(-2.55, -2.31)\": 0.1, \"(-2.31, -2.2)\": 0.38, \"(-2.2, -2.05)\": 0.63, \"(-2.05, -1.93)\": 0.92, \"(-1.93, -1.77)\": 1.18, \"(-1.77, -1.62)\": 1.51, \"(-1.62, -1.48)\": 1.78, \"(-1.48, -1.33)\": 2.03, \"(-1.33, -1.18)\": 2.38, \"(-1.18, -1.04)\": 2.66, \"(-1.04, -0.89)\": 2.92, \"(-0.89, -0.77)\": 3.25, \"(-0.77, -0.6)\": 3.54, \"(-0.6, -0.46)\": 3.83, \"(-0.46, -0.33)\": 4.1, \"(-0.33, -0.21)\": 4.36, \"(-0.21, -0.06)\": 4.61, \"(-0.06, 0.1)\": 4.94, \"(0.1, 0.23)\": 5.22, \"(0.23, 0.38)\": 5.49, \"(0.38, 0.5)\": 5.76, \"(0.5, 0.65)\": 6.06, \"(0.65, 0.81)\": 6.35, \"(0.81, 0.94)\": 6.64, \"(0.94, 1.08)\": 6.89, \"(1.08, 1.21)\": 7.19, \"(1.21, 1.36)\": 7.46, \"(1.36, 1.5)\": 7.76, \"(1.5, 1.64)\": 8.01, \"(1.64, 1.78)\": 8.29, \"(1.78, 1.91)\": 8.57, \"(1.91, 2.04)\": 8.83, \"(2.04, 2.17)\": 9.08, \"(2.17, 2.31)\": 9.36, \"(2.31, 2.44)\": 9.62, \"(2.44, 2.58)\": 9.9, \"(2.58, 2.7)\": 10.17, \"(2.7, 2.82)\": 10.42, \"(2.82, 2.94)\": 10.67, \"(2.94, 3.05)\": 10.93, \"(3.05, 3.21)\": 11.18, \"(3.21, 3.35)\": 11.47, \"(3.35, 3.48)\": 11.72, \"(3.48, 3.63)\": 11.99, \"(3.63, 3.78)\": 12.28, \"(3.78, 3.91)\": 12.57, \"(3.91, 4.04)\": 12.84, \"(4.04, 4.16)\": 13.11, \"(4.16, 4.31)\": 13.37, \"(4.31, 4.45)\": 13.66, \"(4.45, 4.59)\": 13.91, \"(4.59, 4.73)\": 14.21, \"(4.73, 4.86)\": 14.49, \"(4.86, 5.0)\": 14.76, \"(5.0, 5.15)\": 15.05, \"(5.15, 5.29)\": 15.32, \"(5.29, 5.42)\": 15.6, \"(5.42, 5.55)\": 15.86, \"(5.55, 5.69)\": 16.14, \"(5.69, 5.85)\": 16.45, \"(5.85, 6.01)\": 16.75, \"(6.01, 6.13)\": 17.02, \"(6.13, 6.27)\": 17.3, \"(6.27, 6.42)\": 17.59, \"(6.42, 6.54)\": 17.85, \"(6.54, 6.69)\": 18.12, \"(6.69, 6.79)\": 18.38, \"(6.79, 6.93)\": 18.64, \"(6.93, 7.06)\": 18.89, \"(7.06, 7.19)\": 19.14, \"(7.19, 7.33)\": 19.4, \"(7.33, 7.46)\": 19.66, \"(7.46, 7.6)\": 19.91, \"(7.6, 7.75)\": 20.25, \"(7.75, 7.89)\": 20.52, \"(7.89, 8.02)\": 20.81, \"(8.02, 8.17)\": 21.08, \"(8.17, 8.32)\": 21.38, \"(8.32, 8.45)\": 21.64, \"(8.45, 8.57)\": 21.91, \"(8.57, 8.7)\": 22.17, \"(8.7, 8.84)\": 22.43, \"(8.84, 8.97)\": 22.68, \"(8.97, 9.08)\": 22.94, \"(9.08, 9.2)\": 23.19, \"(9.2, 9.34)\": 23.45, \"(9.34, 9.48)\": 23.71, \"(9.48, 9.62)\": 23.99, \"(9.62, 9.76)\": 24.26, \"(9.76, 9.89)\": 24.53, \"(9.89, 9.99)\": 24.82}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.94)\": 992.1, \"(-9.94, -9.91)\": 981.3, \"(-9.91, -9.84)\": 966.9, \"(-9.84, -9.75)\": 941.2, \"(-9.75, -9.68)\": 921.0, \"(-9.68, -9.62)\": 903.2, \"(-9.62, -9.58)\": 889.3, \"(-9.58, -9.52)\": 871.0, \"(-9.52, -9.46)\": 859.2, \"(-9.46, -9.42)\": 840.9, \"(-9.42, -9.34)\": 830.0, \"(-9.34, -9.29)\": 810.8, \"(-9.29, -9.24)\": 798.9, \"(-9.24, -9.16)\": 786.8, \"(-9.16, -9.07)\": 759.6, \"(-9.07, -9.01)\": 742.5, \"(-9.01, -8.97)\": 731.2, \"(-8.97, -8.88)\": 712.4, \"(-8.88, -8.83)\": 700.8, \"(-8.83, -8.78)\": 687.3, \"(-8.78, -8.75)\": 675.9, \"(-8.75, -8.71)\": 665.8, \"(-8.71, -8.64)\": 655.7, \"(-8.64, -8.57)\": 641.1, \"(-8.57, -8.5)\": 623.1, \"(-8.5, -8.42)\": 610.7, \"(-8.42, -8.37)\": 592.9, \"(-8.37, -8.31)\": 581.4, \"(-8.31, -8.23)\": 570.8, \"(-8.23, -8.17)\": 554.0, \"(-8.17, -8.11)\": 544.1, \"(-8.11, -8.05)\": 531.6, \"(-8.05, -8.0)\": 520.7, \"(-8.0, -7.94)\": 510.0, \"(-7.94, -7.88)\": 498.9, \"(-7.88, -7.82)\": 487.5, \"(-7.82, -7.75)\": 474.8, \"(-7.75, -7.67)\": 462.0, \"(-7.67, -7.59)\": 448.4, \"(-7.59, -7.54)\": 435.9, \"(-7.54, -7.47)\": 426.0, \"(-7.47, -7.39)\": 415.3, \"(-7.39, -7.35)\": 404.8, \"(-7.35, -7.25)\": 393.2, \"(-7.25, -7.2)\": 380.0, \"(-7.2, -7.11)\": 369.5, \"(-7.11, -7.05)\": 358.8, \"(-7.05, -6.96)\": 346.5, \"(-6.96, -6.89)\": 336.4, \"(-6.89, -6.79)\": 323.9, \"(-6.79, -6.72)\": 311.4, \"(-6.72, -6.63)\": 301.3, \"(-6.63, -6.55)\": 291.2, \"(-6.55, -6.44)\": 277.2, \"(-6.44, -6.34)\": 265.9, \"(-6.34, -6.25)\": 253.9, \"(-6.25, -6.15)\": 242.7, \"(-6.15, -6.04)\": 231.3, \"(-6.04, -5.95)\": 219.6, \"(-5.95, -5.84)\": 208.6, \"(-5.84, -5.73)\": 198.7, \"(-5.73, -5.58)\": 185.3, \"(-5.58, -5.46)\": 173.0, \"(-5.46, -5.33)\": 161.3, \"(-5.33, -5.19)\": 150.9, \"(-5.19, -5.07)\": 140.7, \"(-5.07, -4.89)\": 127.5, \"(-4.89, -4.75)\": 116.6, \"(-4.75, -4.6)\": 106.2, \"(-4.6, -4.42)\": 96.0, \"(-4.42, -4.21)\": 84.8, \"(-4.21, -3.99)\": 74.2, \"(-3.99, -3.81)\": 64.2, \"(-3.81, -3.55)\": 54.3, \"(-3.55, -3.23)\": 43.7, \"(-3.23, -2.89)\": 33.6, \"(-2.89, -2.38)\": 23.5, \"(-2.38, -1.4)\": 13.1, \"(-1.4, 2.35)\": 3.1, \"(2.35, 2.82)\": 13.3, \"(2.82, 3.22)\": 23.3, \"(3.22, 3.5)\": 33.7, \"(3.5, 3.76)\": 43.8, \"(3.76, 3.99)\": 53.9, \"(3.99, 4.19)\": 64.0, \"(4.19, 4.39)\": 74.4, \"(4.39, 4.56)\": 85.5, \"(4.56, 4.74)\": 97.1, \"(4.74, 4.9)\": 107.4, \"(4.9, 5.08)\": 120.9, \"(5.08, 5.21)\": 131.0, \"(5.21, 5.33)\": 141.9, \"(5.33, 5.47)\": 152.6, \"(5.47, 5.6)\": 165.5, \"(5.6, 5.75)\": 178.6, \"(5.75, 5.86)\": 191.8, \"(5.86, 5.96)\": 202.0, \"(5.96, 6.09)\": 214.1, \"(6.09, 6.16)\": 225.7, \"(6.16, 6.27)\": 236.9, \"(6.27, 6.38)\": 249.6, \"(6.38, 6.48)\": 261.3, \"(6.48, 6.57)\": 273.0, \"(6.57, 6.64)\": 284.2, \"(6.64, 6.74)\": 295.6, \"(6.74, 6.85)\": 309.3, \"(6.85, 6.92)\": 321.3, \"(6.92, 6.99)\": 333.9, \"(6.99, 7.09)\": 346.5, \"(7.09, 7.16)\": 356.9, \"(7.16, 7.24)\": 368.1, \"(7.24, 7.3)\": 380.0, \"(7.3, 7.4)\": 391.5, \"(7.4, 7.48)\": 408.3, \"(7.48, 7.55)\": 418.4, \"(7.55, 7.64)\": 433.7, \"(7.64, 7.72)\": 449.1, \"(7.72, 7.78)\": 461.9, \"(7.78, 7.85)\": 474.0, \"(7.85, 7.9)\": 484.7, \"(7.9, 7.96)\": 495.7, \"(7.96, 8.03)\": 507.8, \"(8.03, 8.08)\": 519.1, \"(8.08, 8.17)\": 531.7, \"(8.17, 8.24)\": 546.6, \"(8.24, 8.28)\": 558.9, \"(8.28, 8.35)\": 568.9, \"(8.35, 8.42)\": 587.4, \"(8.42, 8.47)\": 599.5, \"(8.47, 8.52)\": 611.3, \"(8.52, 8.61)\": 628.5, \"(8.61, 8.64)\": 638.9, \"(8.64, 8.68)\": 648.9, \"(8.68, 8.74)\": 662.5, \"(8.74, 8.82)\": 673.4, \"(8.82, 8.88)\": 688.1, \"(8.88, 8.97)\": 701.6, \"(8.97, 9.06)\": 733.9, \"(9.06, 9.11)\": 745.8, \"(9.11, 9.14)\": 757.9, \"(9.14, 9.19)\": 769.2, \"(9.19, 9.25)\": 780.0, \"(9.25, 9.31)\": 796.1, \"(9.31, 9.35)\": 810.4, \"(9.35, 9.4)\": 825.3, \"(9.4, 9.47)\": 835.8, \"(9.47, 9.55)\": 858.9, \"(9.55, 9.6)\": 877.5, \"(9.6, 9.63)\": 887.9, \"(9.63, 9.69)\": 900.6, \"(9.69, 9.75)\": 913.3, \"(9.75, 9.8)\": 930.6, \"(9.8, 9.84)\": 941.0, \"(9.84, 9.88)\": 954.0, \"(9.88, 9.91)\": 968.1}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.96, -9.93)\": 0.217, \"(-9.93, -9.91)\": 0.272, \"(-9.91, -9.87)\": 0.331, \"(-9.87, -9.82)\": 0.383, \"(-9.82, -9.77)\": 0.433, \"(-9.77, -9.72)\": 0.501, \"(-9.72, -9.63)\": 0.57, \"(-9.63, -9.57)\": 0.617, \"(-9.57, -9.52)\": 0.666, \"(-9.52, -9.42)\": 0.711, \"(-9.42, -9.29)\": 0.796, \"(-9.29, -9.18)\": 0.854, \"(-9.18, -9.06)\": 0.921, \"(-9.06, -8.96)\": 0.977, \"(-8.96, -8.86)\": 1.027, \"(-8.86, -8.75)\": 1.073, \"(-8.75, -8.63)\": 1.131, \"(-8.63, -8.53)\": 1.175, \"(-8.53, -8.42)\": 1.218, \"(-8.42, -8.27)\": 1.269, \"(-8.27, -8.17)\": 1.316, \"(-8.17, -8.03)\": 1.36, \"(-8.03, -7.89)\": 1.405, \"(-7.89, -7.74)\": 1.453, \"(-7.74, -7.54)\": 1.515, \"(-7.54, -7.36)\": 1.583, \"(-7.36, -7.21)\": 1.627, \"(-7.21, -7.06)\": 1.671, \"(-7.06, -6.91)\": 1.715, \"(-6.91, -6.74)\": 1.763, \"(-6.74, -6.54)\": 1.81, \"(-6.54, -6.37)\": 1.865, \"(-6.37, -6.19)\": 1.909, \"(-6.19, -5.99)\": 1.958, \"(-5.99, -5.78)\": 2.01, \"(-5.78, -5.61)\": 2.056, \"(-5.61, -5.38)\": 2.106, \"(-5.38, -5.18)\": 2.154, \"(-5.18, -4.99)\": 2.197, \"(-4.99, -4.78)\": 2.246, \"(-4.78, -4.55)\": 2.29, \"(-4.55, -4.33)\": 2.336, \"(-4.33, -4.13)\": 2.38, \"(-4.13, -3.92)\": 2.425, \"(-3.92, -3.67)\": 2.469, \"(-3.67, -3.4)\": 2.52, \"(-3.4, -3.15)\": 2.576, \"(-3.15, -2.9)\": 2.619, \"(-2.9, -2.67)\": 2.665, \"(-2.67, -2.46)\": 2.708, \"(-2.46, -2.19)\": 2.752, \"(-2.19, -1.92)\": 2.799, \"(-1.92, -1.64)\": 2.846, \"(-1.64, -1.4)\": 2.891, \"(-1.4, -1.11)\": 2.936, \"(-1.11, -0.84)\": 2.982, \"(-0.84, -0.59)\": 3.026, \"(-0.59, -0.32)\": 3.069, \"(-0.32, -0.04)\": 3.113, \"(-0.04, 0.22)\": 3.155, \"(0.22, 0.49)\": 3.198, \"(0.49, 0.77)\": 3.242, \"(0.77, 1.1)\": 3.289, \"(1.1, 1.39)\": 3.333, \"(1.39, 1.68)\": 3.376, \"(1.68, 2.01)\": 3.424, \"(2.01, 2.32)\": 3.468, \"(2.32, 2.62)\": 3.511, \"(2.62, 2.93)\": 3.554, \"(2.93, 3.25)\": 3.597, \"(3.25, 3.58)\": 3.644, \"(3.58, 3.95)\": 3.688, \"(3.95, 4.22)\": 3.731, \"(4.22, 4.59)\": 3.775, \"(4.59, 4.88)\": 3.818, \"(4.88, 5.19)\": 3.861, \"(5.19, 5.54)\": 3.904, \"(5.54, 5.9)\": 3.947, \"(5.9, 6.28)\": 3.99, \"(6.28, 6.63)\": 4.033, \"(6.63, 6.96)\": 4.077, \"(6.96, 7.32)\": 4.121, \"(7.32, 7.71)\": 4.165, \"(7.71, 8.05)\": 4.209, \"(8.05, 8.44)\": 4.253, \"(8.44, 8.82)\": 4.296, \"(8.82, 9.21)\": 4.339, \"(9.21, 9.6)\": 4.383, \"(9.6, 9.97)\": 4.427, \"(9.97, 10.0)\": 4.47}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.96)\": -0.111, \"(-9.96, -9.94)\": -0.206, \"(-9.94, -9.89)\": -0.256, \"(-9.89, -9.81)\": -0.391, \"(-9.81, -9.76)\": -0.462, \"(-9.76, -9.67)\": -0.528, \"(-9.67, -9.6)\": -0.577, \"(-9.6, -9.53)\": -0.647, \"(-9.53, -9.46)\": -0.694, \"(-9.46, -9.37)\": -0.739, \"(-9.37, -9.28)\": -0.806, \"(-9.28, -9.21)\": -0.851, \"(-9.21, -9.12)\": -0.895, \"(-9.12, -9.05)\": -0.943, \"(-9.05, -8.94)\": -0.991, \"(-8.94, -8.83)\": -1.036, \"(-8.83, -8.74)\": -1.083, \"(-8.74, -8.64)\": -1.132, \"(-8.64, -8.52)\": -1.177, \"(-8.52, -8.39)\": -1.225, \"(-8.39, -8.26)\": -1.272, \"(-8.26, -8.12)\": -1.322, \"(-8.12, -7.98)\": -1.382, \"(-7.98, -7.83)\": -1.43, \"(-7.83, -7.71)\": -1.475, \"(-7.71, -7.57)\": -1.519, \"(-7.57, -7.41)\": -1.566, \"(-7.41, -7.25)\": -1.614, \"(-7.25, -7.1)\": -1.66, \"(-7.1, -6.97)\": -1.705, \"(-6.97, -6.8)\": -1.748, \"(-6.8, -6.62)\": -1.797, \"(-6.62, -6.41)\": -1.844, \"(-6.41, -6.24)\": -1.896, \"(-6.24, -6.05)\": -1.941, \"(-6.05, -5.86)\": -1.99, \"(-5.86, -5.66)\": -2.036, \"(-5.66, -5.48)\": -2.084, \"(-5.48, -5.27)\": -2.128, \"(-5.27, -5.07)\": -2.18, \"(-5.07, -4.87)\": -2.224, \"(-4.87, -4.64)\": -2.271, \"(-4.64, -4.45)\": -2.315, \"(-4.45, -4.23)\": -2.359, \"(-4.23, -4.0)\": -2.403, \"(-4.0, -3.78)\": -2.451, \"(-3.78, -3.53)\": -2.497, \"(-3.53, -3.28)\": -2.546, \"(-3.28, -3.09)\": -2.59, \"(-3.09, -2.81)\": -2.634, \"(-2.81, -2.59)\": -2.68, \"(-2.59, -2.36)\": -2.725, \"(-2.36, -2.11)\": -2.77, \"(-2.11, -1.8)\": -2.818, \"(-1.8, -1.56)\": -2.862, \"(-1.56, -1.28)\": -2.906, \"(-1.28, -1.02)\": -2.953, \"(-1.02, -0.74)\": -2.998, \"(-0.74, -0.47)\": -3.045, \"(-0.47, -0.16)\": -3.091, \"(-0.16, 0.13)\": -3.135, \"(0.13, 0.4)\": -3.181, \"(0.4, 0.69)\": -3.225, \"(0.69, 0.99)\": -3.27, \"(0.99, 1.3)\": -3.315, \"(1.3, 1.62)\": -3.364, \"(1.62, 1.92)\": -3.41, \"(1.92, 2.21)\": -3.454, \"(2.21, 2.54)\": -3.501, \"(2.54, 2.89)\": -3.546, \"(2.89, 3.2)\": -3.59, \"(3.2, 3.53)\": -3.634, \"(3.53, 3.86)\": -3.681, \"(3.86, 4.21)\": -3.725, \"(4.21, 4.55)\": -3.769, \"(4.55, 4.89)\": -3.813, \"(4.89, 5.22)\": -3.859, \"(5.22, 5.57)\": -3.903, \"(5.57, 5.91)\": -3.948, \"(5.91, 6.29)\": -3.993, \"(6.29, 6.65)\": -4.037, \"(6.65, 7.03)\": -4.081, \"(7.03, 7.42)\": -4.13, \"(7.42, 7.81)\": -4.175, \"(7.81, 8.18)\": -4.22, \"(8.18, 8.58)\": -4.267, \"(8.58, 8.97)\": -4.312, \"(8.97, 9.38)\": -4.357, \"(9.38, 9.77)\": -4.403, \"(9.77, 9.91)\": -4.448}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -9.89)\": 8.651, \"(-9.89, -9.78)\": 8.549, \"(-9.78, -9.64)\": 8.41, \"(-9.64, -9.55)\": 8.31, \"(-9.55, -9.43)\": 8.18, \"(-9.43, -9.31)\": 8.075, \"(-9.31, -9.18)\": 7.957, \"(-9.18, -9.06)\": 7.849, \"(-9.06, -8.95)\": 7.743, \"(-8.95, -8.84)\": 7.611, \"(-8.84, -8.72)\": 7.508, \"(-8.72, -8.61)\": 7.402, \"(-8.61, -8.52)\": 7.301, \"(-8.52, -8.41)\": 7.198, \"(-8.41, -8.31)\": 7.098, \"(-8.31, -8.2)\": 6.988, \"(-8.2, -8.07)\": 6.879, \"(-8.07, -7.95)\": 6.771, \"(-7.95, -7.82)\": 6.652, \"(-7.82, -7.69)\": 6.505, \"(-7.69, -7.57)\": 6.405, \"(-7.57, -7.44)\": 6.279, \"(-7.44, -7.33)\": 6.156, \"(-7.33, -7.22)\": 6.053, \"(-7.22, -7.09)\": 5.942, \"(-7.09, -6.98)\": 5.828, \"(-6.98, -6.87)\": 5.725, \"(-6.87, -6.76)\": 5.614, \"(-6.76, -6.65)\": 5.51, \"(-6.65, -6.52)\": 5.4, \"(-6.52, -6.41)\": 5.285, \"(-6.41, -6.29)\": 5.171, \"(-6.29, -6.16)\": 5.052, \"(-6.16, -6.07)\": 4.948, \"(-6.07, -5.97)\": 4.847, \"(-5.97, -5.83)\": 4.742, \"(-5.83, -5.73)\": 4.642, \"(-5.73, -5.61)\": 4.521, \"(-5.61, -5.49)\": 4.403, \"(-5.49, -5.37)\": 4.304, \"(-5.37, -5.25)\": 4.202, \"(-5.25, -5.13)\": 4.097, \"(-5.13, -5.02)\": 3.975, \"(-5.02, -4.88)\": 3.863, \"(-4.88, -4.74)\": 3.734, \"(-4.74, -4.62)\": 3.629, \"(-4.62, -4.5)\": 3.526, \"(-4.5, -4.39)\": 3.42, \"(-4.39, -4.24)\": 3.309, \"(-4.24, -4.12)\": 3.199, \"(-4.12, -4.0)\": 3.095, \"(-4.0, -3.86)\": 2.988, \"(-3.86, -3.74)\": 2.876, \"(-3.74, -3.6)\": 2.769, \"(-3.6, -3.45)\": 2.66, \"(-3.45, -3.31)\": 2.553, \"(-3.31, -3.18)\": 2.449, \"(-3.18, -3.02)\": 2.348, \"(-3.02, -2.86)\": 2.241, \"(-2.86, -2.68)\": 2.137, \"(-2.68, -2.46)\": 2.018, \"(-2.46, -2.22)\": 1.912, \"(-2.22, -1.91)\": 1.808, \"(-1.91, -0.78)\": 1.706, \"(-0.78, -0.56)\": 1.81, \"(-0.56, -0.36)\": 1.915, \"(-0.36, -0.19)\": 2.018, \"(-0.19, -0.02)\": 2.132, \"(-0.02, 0.16)\": 2.234, \"(0.16, 0.31)\": 2.349, \"(0.31, 0.48)\": 2.473, \"(0.48, 0.64)\": 2.605, \"(0.64, 0.78)\": 2.716, \"(0.78, 0.92)\": 2.837, \"(0.92, 1.04)\": 2.939, \"(1.04, 1.19)\": 3.042, \"(1.19, 1.28)\": 3.154, \"(1.28, 1.42)\": 3.267, \"(1.42, 1.55)\": 3.367, \"(1.55, 1.68)\": 3.481, \"(1.68, 1.79)\": 3.587, \"(1.79, 1.9)\": 3.693, \"(1.9, 2.03)\": 3.794, \"(2.03, 2.12)\": 3.898, \"(2.12, 2.24)\": 4.008, \"(2.24, 2.36)\": 4.117, \"(2.36, 2.51)\": 4.22, \"(2.51, 2.63)\": 4.349, \"(2.63, 2.76)\": 4.464, \"(2.76, 2.87)\": 4.59, \"(2.87, 3.0)\": 4.693, \"(3.0, 3.09)\": 4.796, \"(3.09, 3.23)\": 4.908, \"(3.23, 3.36)\": 5.036, \"(3.36, 3.45)\": 5.141, \"(3.45, 3.58)\": 5.242, \"(3.58, 3.78)\": 5.417, \"(3.78, 3.87)\": 5.518, \"(3.87, 4.0)\": 5.643, \"(4.0, 4.12)\": 5.769, \"(4.12, 4.24)\": 5.872, \"(4.24, 4.37)\": 5.987, \"(4.37, 4.5)\": 6.12, \"(4.5, 4.6)\": 6.243, \"(4.6, 4.74)\": 6.347, \"(4.74, 4.83)\": 6.463, \"(4.83, 4.93)\": 6.564, \"(4.93, 5.05)\": 6.665, \"(5.05, 5.17)\": 6.764, \"(5.17, 5.31)\": 6.898, \"(5.31, 5.42)\": 7.001, \"(5.42, 5.54)\": 7.104, \"(5.54, 5.69)\": 7.27, \"(5.69, 5.81)\": 7.402, \"(5.81, 5.92)\": 7.508, \"(5.92, 6.05)\": 7.618, \"(6.05, 6.2)\": 7.73, \"(6.2, 6.35)\": 7.928, \"(6.35, 6.49)\": 8.041, \"(6.49, 6.62)\": 8.178, \"(6.62, 6.7)\": 8.29, \"(6.7, 6.83)\": 8.39, \"(6.83, 6.94)\": 8.504, \"(6.94, 7.1)\": 8.621, \"(7.1, 7.25)\": 8.799, \"(7.25, 7.37)\": 8.923, \"(7.37, 7.45)\": 9.023, \"(7.45, 7.57)\": 9.123, \"(7.57, 7.69)\": 9.239, \"(7.69, 7.83)\": 9.365, \"(7.83, 7.94)\": 9.478, \"(7.94, 8.05)\": 9.597, \"(8.05, 8.17)\": 9.698, \"(8.17, 8.3)\": 9.828, \"(8.3, 8.4)\": 9.944, \"(8.4, 8.51)\": 10.044, \"(8.51, 8.62)\": 10.159, \"(8.62, 8.74)\": 10.265, \"(8.74, 8.84)\": 10.374, \"(8.84, 8.96)\": 10.476, \"(8.96, 9.06)\": 10.607, \"(9.06, 9.18)\": 10.708, \"(9.18, 9.27)\": 10.81, \"(9.27, 9.4)\": 10.917, \"(9.4, 9.52)\": 11.038, \"(9.52, 9.63)\": 11.143, \"(9.63, 9.74)\": 11.26, \"(9.74, 9.86)\": 11.387, \"(9.86, 9.97)\": 11.49}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.92, 5.37)\": 4.3, \"(5.37, 6.09)\": 234.0, \"(6.09, 6.48)\": 456.0, \"(6.48, 6.81)\": 688.8, \"(6.81, 7.06)\": 942.6, \"(7.06, 7.28)\": 1193.3, \"(7.28, 7.44)\": 1461.9, \"(7.44, 7.54)\": 1696.0, \"(7.54, 7.69)\": 1940.0, \"(7.69, 7.8)\": 2211.7, \"(7.8, 7.88)\": 2441.0, \"(7.88, 7.95)\": 2683.6, \"(7.95, 8.08)\": 2965.2, \"(8.08, 8.16)\": 3238.9, \"(8.16, 8.22)\": 3541.2, \"(8.22, 8.29)\": 3764.4, \"(8.29, 8.33)\": 4004.2, \"(8.33, 8.4)\": 4269.6, \"(8.4, 8.47)\": 4534.7, \"(8.47, 8.53)\": 4827.5, \"(8.53, 8.57)\": 5123.2, \"(8.57, 8.61)\": 5359.8, \"(8.61, 8.68)\": 5638.4, \"(8.68, 8.74)\": 6028.9, \"(8.74, 8.78)\": 6247.5, \"(8.78, 8.82)\": 6565.8, \"(8.82, 8.87)\": 6889.8, \"(8.87, 8.9)\": 7107.1, \"(8.9, 8.92)\": 7332.2, \"(8.92, 8.98)\": 7638.2, \"(8.98, 9.02)\": 8117.9, \"(9.02, 9.07)\": 8410.3, \"(9.07, 9.11)\": 8826.7, \"(9.11, 9.14)\": 9087.4, \"(9.14, 9.17)\": 9402.8, \"(9.17, 9.23)\": 9787.4, \"(9.23, 9.29)\": 10570.9, \"(9.29, 9.33)\": 10985.0, \"(9.33, 9.35)\": 11341.6, \"(9.35, 9.37)\": 11560.2, \"(9.37, 9.43)\": 11991.0, \"(9.43, 9.47)\": 12768.0, \"(9.47, 9.5)\": 13029.1, \"(9.5, 9.51)\": 13360.9, \"(9.51, 9.53)\": 13583.9, \"(9.53, 9.54)\": 13805.6, \"(9.54, 9.56)\": 14063.1, \"(9.56, 9.62)\": 14605.5, \"(9.62, 9.68)\": 15592.6, \"(9.68, 9.7)\": 16137.3, \"(9.7, 9.71)\": 16354.8, \"(9.71, 9.73)\": 16572.7, \"(9.73, 9.75)\": 16897.0, \"(9.75, 9.77)\": 17239.0, \"(9.77, 9.78)\": 17590.2, \"(9.78, 9.8)\": 17883.3, \"(9.8, 9.87)\": 18547.0, \"(9.87, 9.93)\": 20089.7, \"(9.93, 9.95)\": 20757.9, \"(9.95, 9.98)\": 21173.1, \"(9.98, 9.99)\": 21618.4}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, 5.31)\": -4.2, \"(5.31, 6.02)\": -212.5, \"(6.02, 6.43)\": -425.5, \"(6.43, 6.73)\": -640.0, \"(6.73, 6.97)\": -850.4, \"(6.97, 7.17)\": -1091.7, \"(7.17, 7.33)\": -1321.2, \"(7.33, 7.49)\": -1567.9, \"(7.49, 7.61)\": -1795.0, \"(7.61, 7.72)\": -2030.9, \"(7.72, 7.8)\": -2255.3, \"(7.8, 7.91)\": -2524.8, \"(7.91, 8.0)\": -2771.5, \"(8.0, 8.09)\": -3046.1, \"(8.09, 8.15)\": -3266.0, \"(8.15, 8.2)\": -3493.6, \"(8.2, 8.26)\": -3707.6, \"(8.26, 8.33)\": -3924.9, \"(8.33, 8.39)\": -4154.9, \"(8.39, 8.46)\": -4548.1, \"(8.46, 8.54)\": -4912.7, \"(8.54, 8.62)\": -5180.9, \"(8.62, 8.69)\": -5690.2, \"(8.69, 8.73)\": -5989.8, \"(8.73, 8.78)\": -6231.5, \"(8.78, 8.83)\": -6601.6, \"(8.83, 8.88)\": -6946.1, \"(8.88, 8.91)\": -7228.2, \"(8.91, 8.95)\": -7475.3, \"(8.95, 8.97)\": -7722.1, \"(8.97, 9.02)\": -7931.8, \"(9.02, 9.07)\": -8415.8, \"(9.07, 9.13)\": -8841.2, \"(9.13, 9.18)\": -9485.9, \"(9.18, 9.21)\": -9773.0, \"(9.21, 9.24)\": -10155.2, \"(9.24, 9.27)\": -10389.6, \"(9.27, 9.29)\": -10742.6, \"(9.29, 9.33)\": -10965.8, \"(9.33, 9.35)\": -11364.7, \"(9.35, 9.38)\": -11582.5, \"(9.38, 9.42)\": -12121.5, \"(9.42, 9.48)\": -12641.3, \"(9.48, 9.51)\": -13360.2, \"(9.51, 9.54)\": -13584.8, \"(9.54, 9.56)\": -13987.8, \"(9.56, 9.59)\": -14417.8, \"(9.59, 9.62)\": -14773.8, \"(9.62, 9.65)\": -15250.4, \"(9.65, 9.68)\": -15889.2, \"(9.68, 9.71)\": -16182.7, \"(9.71, 9.72)\": -16531.4, \"(9.72, 9.75)\": -16740.4, \"(9.75, 9.78)\": -17196.9, \"(9.78, 9.83)\": -18129.0, \"(9.83, 9.85)\": -18727.3, \"(9.85, 9.86)\": -19042.0, \"(9.86, 9.88)\": -19253.8, \"(9.88, 9.89)\": -19531.4, \"(9.89, 9.9)\": -19784.7, \"(9.9, 9.91)\": -20010.2, \"(9.91, 10.0)\": -20747.7}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -9.94)\": 20907.1, \"(-9.94, -9.92)\": 20591.2, \"(-9.92, -9.89)\": 19998.3, \"(-9.89, -9.88)\": 19729.3, \"(-9.88, -9.85)\": 19300.1, \"(-9.85, -9.84)\": 18815.0, \"(-9.84, -9.82)\": 18587.4, \"(-9.82, -9.81)\": 18333.4, \"(-9.81, -9.78)\": 17992.0, \"(-9.78, -9.76)\": 17483.5, \"(-9.76, -9.74)\": 17270.1, \"(-9.74, -9.72)\": 16805.7, \"(-9.72, -9.7)\": 16434.0, \"(-9.7, -9.68)\": 16129.0, \"(-9.68, -9.66)\": 15916.5, \"(-9.66, -9.64)\": 15671.4, \"(-9.64, -9.63)\": 15344.9, \"(-9.63, -9.61)\": 15054.1, \"(-9.61, -9.57)\": 14704.3, \"(-9.57, -9.55)\": 14204.5, \"(-9.55, -9.54)\": 13938.9, \"(-9.54, -9.52)\": 13715.7, \"(-9.52, -9.49)\": 13436.7, \"(-9.49, -9.46)\": 12979.0, \"(-9.46, -9.45)\": 12758.0, \"(-9.45, -9.42)\": 12522.7, \"(-9.42, -9.39)\": 12294.8, \"(-9.39, -9.35)\": 11679.6, \"(-9.35, -9.31)\": 11364.2, \"(-9.31, -9.25)\": 10742.8, \"(-9.25, -9.23)\": 10328.0, \"(-9.23, -9.2)\": 10075.0, \"(-9.2, -9.17)\": 9791.6, \"(-9.17, -9.13)\": 9419.0, \"(-9.13, -9.09)\": 9096.2, \"(-9.09, -9.05)\": 8779.3, \"(-9.05, -9.03)\": 8447.6, \"(-9.03, -9.0)\": 8198.9, \"(-9.0, -8.91)\": 7981.2, \"(-8.91, -8.83)\": 7068.6, \"(-8.83, -8.78)\": 6727.3, \"(-8.78, -8.75)\": 6419.2, \"(-8.75, -8.7)\": 6187.2, \"(-8.7, -8.66)\": 5943.3, \"(-8.66, -8.56)\": 5697.0, \"(-8.56, -8.45)\": 4912.8, \"(-8.45, -8.39)\": 4618.4, \"(-8.39, -8.34)\": 4374.8, \"(-8.34, -8.28)\": 4136.7, \"(-8.28, -8.19)\": 3881.0, \"(-8.19, -8.12)\": 3479.6, \"(-8.12, -8.03)\": 3263.3, \"(-8.03, -7.95)\": 3038.3, \"(-7.95, -7.88)\": 2820.9, \"(-7.88, -7.79)\": 2599.6, \"(-7.79, -7.68)\": 2373.0, \"(-7.68, -7.55)\": 2126.9, \"(-7.55, -7.43)\": 1895.5, \"(-7.43, -7.29)\": 1675.3, \"(-7.29, -7.14)\": 1460.9, \"(-7.14, -6.94)\": 1249.3, \"(-6.94, -6.71)\": 1032.8, \"(-6.71, -6.42)\": 822.1, \"(-6.42, -5.98)\": 606.4, \"(-5.98, -5.21)\": 394.3, \"(-5.21, 9.98)\": 182.8}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -2.16)\": -0.0003, \"(-2.16, -1.98)\": 0.0101, \"(-1.98, -1.84)\": 0.022, \"(-1.84, -1.76)\": 0.0357, \"(-1.76, -1.66)\": 0.0474, \"(-1.66, -1.58)\": 0.0719, \"(-1.58, -1.53)\": 0.0849, \"(-1.53, -1.48)\": 0.1008, \"(-1.48, -1.45)\": 0.1136, \"(-1.45, -1.42)\": 0.1254, \"(-1.42, -1.38)\": 0.1378, \"(-1.38, -1.36)\": 0.152, \"(-1.36, -1.33)\": 0.1632, \"(-1.33, -1.28)\": 0.1764, \"(-1.28, -1.25)\": 0.1996, \"(-1.25, -1.19)\": 0.2172, \"(-1.19, -1.12)\": 0.2664, \"(-1.12, -1.06)\": 0.3084, \"(-1.06, -1.01)\": 0.3489, \"(-1.01, -0.96)\": 0.3671, \"(-0.96, -0.93)\": 0.4151, \"(-0.93, -0.9)\": 0.427, \"(-0.9, -0.87)\": 0.4621, \"(-0.87, -0.83)\": 0.4739, \"(-0.83, -0.78)\": 0.5263, \"(-0.78, -0.76)\": 0.5535, \"(-0.76, -0.73)\": 0.5709, \"(-0.73, -0.68)\": 0.5946, \"(-0.68, -0.62)\": 0.6504, \"(-0.62, -0.58)\": 0.7061, \"(-0.58, -0.57)\": 0.7207, \"(-0.57, -0.53)\": 0.7308, \"(-0.53, -0.49)\": 0.7719, \"(-0.49, -0.46)\": 0.7993, \"(-0.46, -0.44)\": 0.8154, \"(-0.44, -0.42)\": 0.8257, \"(-0.42, -0.39)\": 0.8406, \"(-0.39, -0.35)\": 0.8746, \"(-0.35, -0.32)\": 0.8868, \"(-0.32, -0.26)\": 0.9201, \"(-0.26, -0.23)\": 0.9387, \"(-0.23, -0.19)\": 0.9507, \"(-0.19, -0.11)\": 0.9755, \"(-0.11, 0.14)\": 0.9886, \"(0.14, 0.19)\": 0.9774, \"(0.19, 0.23)\": 0.9604, \"(0.23, 0.27)\": 0.9395, \"(0.27, 0.3)\": 0.9291, \"(0.3, 0.32)\": 0.9083, \"(0.32, 0.35)\": 0.8929, \"(0.35, 0.37)\": 0.8803, \"(0.37, 0.39)\": 0.8683, \"(0.39, 0.41)\": 0.8496, \"(0.41, 0.44)\": 0.8348, \"(0.44, 0.49)\": 0.8056, \"(0.49, 0.52)\": 0.7727, \"(0.52, 0.54)\": 0.7565, \"(0.54, 0.56)\": 0.7393, \"(0.56, 0.59)\": 0.7197, \"(0.59, 0.61)\": 0.6971, \"(0.61, 0.63)\": 0.6811, \"(0.63, 0.67)\": 0.656, \"(0.67, 0.7)\": 0.625, \"(0.7, 0.73)\": 0.6018, \"(0.73, 0.79)\": 0.571, \"(0.79, 0.83)\": 0.5127, \"(0.83, 0.84)\": 0.498, \"(0.84, 0.86)\": 0.4866, \"(0.86, 0.88)\": 0.4756, \"(0.88, 0.91)\": 0.4479, \"(0.91, 0.95)\": 0.432, \"(0.95, 0.99)\": 0.3882, \"(0.99, 1.02)\": 0.3662, \"(1.02, 1.04)\": 0.3542, \"(1.04, 1.08)\": 0.3302, \"(1.08, 1.09)\": 0.3086, \"(1.09, 1.11)\": 0.2978, \"(1.11, 1.13)\": 0.2839, \"(1.13, 1.16)\": 0.2714, \"(1.16, 1.19)\": 0.2542, \"(1.19, 1.23)\": 0.2335, \"(1.23, 1.26)\": 0.2153, \"(1.26, 1.28)\": 0.2039, \"(1.28, 1.29)\": 0.1938, \"(1.29, 1.33)\": 0.1837, \"(1.33, 1.38)\": 0.1638, \"(1.38, 1.43)\": 0.1391, \"(1.43, 1.49)\": 0.1222, \"(1.49, 1.54)\": 0.1023, \"(1.54, 1.6)\": 0.0885, \"(1.6, 1.64)\": 0.0766, \"(1.64, 1.69)\": 0.0655, \"(1.69, 1.77)\": 0.0533, \"(1.77, 1.85)\": 0.0423, \"(1.85, 1.96)\": 0.0318, \"(1.96, 2.13)\": 0.0212, \"(2.13, 2.83)\": 0.0103, \"(2.83, 9.99)\": 0.0003}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, 3.27)\": 0.2, \"(3.27, 4.28)\": 10.0, \"(4.28, 4.89)\": 19.9, \"(4.89, 5.3)\": 30.0, \"(5.3, 5.61)\": 39.9, \"(5.61, 5.89)\": 50.0, \"(5.89, 6.12)\": 60.1, \"(6.12, 6.31)\": 70.8, \"(6.31, 6.52)\": 82.8, \"(6.52, 6.69)\": 94.0, \"(6.69, 6.83)\": 104.5, \"(6.83, 6.98)\": 115.5, \"(6.98, 7.08)\": 127.1, \"(7.08, 7.19)\": 137.3, \"(7.19, 7.32)\": 149.1, \"(7.32, 7.41)\": 160.2, \"(7.41, 7.5)\": 170.9, \"(7.5, 7.58)\": 182.2, \"(7.58, 7.66)\": 192.4, \"(7.66, 7.73)\": 203.5, \"(7.73, 7.79)\": 213.3, \"(7.79, 7.87)\": 223.7, \"(7.87, 7.95)\": 234.3, \"(7.95, 8.06)\": 255.8, \"(8.06, 8.12)\": 268.7, \"(8.12, 8.18)\": 280.7, \"(8.18, 8.23)\": 290.9, \"(8.23, 8.28)\": 301.1, \"(8.28, 8.33)\": 311.4, \"(8.33, 8.37)\": 323.2, \"(8.37, 8.43)\": 333.0, \"(8.43, 8.47)\": 347.0, \"(8.47, 8.52)\": 360.5, \"(8.52, 8.58)\": 373.9, \"(8.58, 8.65)\": 389.5, \"(8.65, 8.73)\": 415.6, \"(8.73, 8.76)\": 428.8, \"(8.76, 8.83)\": 438.9, \"(8.83, 8.88)\": 460.3, \"(8.88, 8.91)\": 470.6, \"(8.91, 8.95)\": 484.2, \"(8.95, 8.98)\": 497.9, \"(8.98, 9.03)\": 514.7, \"(9.03, 9.07)\": 530.5, \"(9.07, 9.12)\": 546.4, \"(9.12, 9.14)\": 558.5, \"(9.14, 9.18)\": 569.2, \"(9.18, 9.22)\": 582.5, \"(9.22, 9.24)\": 596.9, \"(9.24, 9.28)\": 611.6, \"(9.28, 9.3)\": 623.1, \"(9.3, 9.33)\": 636.5, \"(9.33, 9.37)\": 649.2, \"(9.37, 9.42)\": 672.2, \"(9.42, 9.45)\": 689.2, \"(9.45, 9.48)\": 705.5, \"(9.48, 9.51)\": 721.4, \"(9.51, 9.54)\": 734.3, \"(9.54, 9.57)\": 751.8, \"(9.57, 9.59)\": 761.6, \"(9.59, 9.63)\": 779.3, \"(9.63, 9.65)\": 793.6, \"(9.65, 9.69)\": 808.3, \"(9.69, 9.75)\": 852.2, \"(9.75, 9.78)\": 866.3, \"(9.78, 9.81)\": 889.7, \"(9.81, 9.83)\": 901.1, \"(9.83, 9.86)\": 911.4, \"(9.86, 9.89)\": 941.1, \"(9.89, 9.99)\": 976.5}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, 5.82)\": 16.0, \"(5.82, 6.4)\": 621.9, \"(6.4, 6.81)\": 1222.7, \"(6.81, 7.08)\": 1847.7, \"(7.08, 7.25)\": 2425.8, \"(7.25, 7.43)\": 3015.5, \"(7.43, 7.62)\": 3623.8, \"(7.62, 7.71)\": 4284.3, \"(7.71, 7.84)\": 4888.2, \"(7.84, 7.93)\": 5568.5, \"(7.93, 8.03)\": 6301.5, \"(8.03, 8.14)\": 6899.3, \"(8.14, 8.23)\": 7834.9, \"(8.23, 8.31)\": 8656.9, \"(8.31, 8.38)\": 9331.4, \"(8.38, 8.42)\": 9934.1, \"(8.42, 8.48)\": 10537.7, \"(8.48, 8.52)\": 11199.3, \"(8.52, 8.6)\": 11940.5, \"(8.6, 8.64)\": 12767.8, \"(8.64, 8.69)\": 13392.6, \"(8.69, 8.73)\": 14034.4, \"(8.73, 8.77)\": 14804.7, \"(8.77, 8.81)\": 15461.8, \"(8.81, 8.89)\": 16179.1, \"(8.89, 8.95)\": 18128.8, \"(8.95, 9.0)\": 19011.0, \"(9.0, 9.05)\": 20245.5, \"(9.05, 9.1)\": 21005.3, \"(9.1, 9.15)\": 22690.0, \"(9.15, 9.19)\": 23617.7, \"(9.19, 9.24)\": 24893.2, \"(9.24, 9.27)\": 25730.4, \"(9.27, 9.29)\": 26566.2, \"(9.29, 9.32)\": 27300.8, \"(9.32, 9.36)\": 28775.0, \"(9.36, 9.37)\": 29406.4, \"(9.37, 9.41)\": 30172.3, \"(9.41, 9.45)\": 31796.4, \"(9.45, 9.47)\": 32627.7, \"(9.47, 9.5)\": 33364.2, \"(9.5, 9.54)\": 34915.4, \"(9.54, 9.56)\": 35811.1, \"(9.56, 9.6)\": 37508.8, \"(9.6, 9.61)\": 38120.9, \"(9.61, 9.63)\": 38835.5, \"(9.63, 9.64)\": 39570.0, \"(9.64, 9.68)\": 40172.9, \"(9.68, 9.72)\": 42652.6, \"(9.72, 9.73)\": 43418.2, \"(9.73, 9.75)\": 44275.9, \"(9.75, 9.76)\": 45130.5, \"(9.76, 9.79)\": 45921.4, \"(9.79, 9.82)\": 47788.2, \"(9.82, 9.84)\": 49180.7, \"(9.84, 9.86)\": 49786.5, \"(9.86, 9.92)\": 51790.1, \"(9.92, 9.96)\": 55473.7, \"(9.96, 9.97)\": 56813.4, \"(9.97, 9.98)\": 57606.1}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, 3.32)\": 0.01, \"(3.32, 4.34)\": 0.32, \"(4.34, 4.91)\": 0.64, \"(4.91, 5.34)\": 0.96, \"(5.34, 5.68)\": 1.3, \"(5.68, 5.96)\": 1.61, \"(5.96, 6.17)\": 1.93, \"(6.17, 6.36)\": 2.25, \"(6.36, 6.54)\": 2.59, \"(6.54, 6.69)\": 2.94, \"(6.69, 6.84)\": 3.26, \"(6.84, 6.96)\": 3.61, \"(6.96, 7.08)\": 3.94, \"(7.08, 7.2)\": 4.25, \"(7.2, 7.3)\": 4.63, \"(7.3, 7.4)\": 4.94, \"(7.4, 7.48)\": 5.26, \"(7.48, 7.56)\": 5.61, \"(7.56, 7.65)\": 5.96, \"(7.65, 7.73)\": 6.32, \"(7.73, 7.8)\": 6.66, \"(7.8, 7.87)\": 7.0, \"(7.87, 7.95)\": 7.35, \"(7.95, 8.04)\": 7.89, \"(8.04, 8.1)\": 8.24, \"(8.1, 8.16)\": 8.61, \"(8.16, 8.21)\": 8.97, \"(8.21, 8.27)\": 9.45, \"(8.27, 8.33)\": 9.77, \"(8.33, 8.39)\": 10.12, \"(8.39, 8.45)\": 10.5, \"(8.45, 8.54)\": 11.23, \"(8.54, 8.58)\": 11.65, \"(8.58, 8.62)\": 12.09, \"(8.62, 8.68)\": 12.43, \"(8.68, 8.73)\": 12.95, \"(8.73, 8.78)\": 13.37, \"(8.78, 8.86)\": 13.89, \"(8.86, 8.94)\": 14.92, \"(8.94, 8.98)\": 15.34, \"(8.98, 9.03)\": 15.91, \"(9.03, 9.06)\": 16.49, \"(9.06, 9.12)\": 16.95, \"(9.12, 9.18)\": 17.91, \"(9.18, 9.21)\": 18.27, \"(9.21, 9.24)\": 18.68, \"(9.24, 9.28)\": 19.22, \"(9.28, 9.34)\": 19.92, \"(9.34, 9.37)\": 20.54, \"(9.37, 9.41)\": 20.92, \"(9.41, 9.45)\": 21.51, \"(9.45, 9.48)\": 22.04, \"(9.48, 9.51)\": 22.41, \"(9.51, 9.54)\": 22.96, \"(9.54, 9.57)\": 23.37, \"(9.57, 9.59)\": 23.88, \"(9.59, 9.63)\": 24.45, \"(9.63, 9.65)\": 24.85, \"(9.65, 9.69)\": 25.21, \"(9.69, 9.72)\": 26.18, \"(9.72, 9.78)\": 26.65, \"(9.78, 9.83)\": 28.13, \"(9.83, 9.85)\": 28.46, \"(9.85, 9.9)\": 29.34, \"(9.9, 9.94)\": 30.32, \"(9.94, 9.98)\": 30.89}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -9.95)\": -3.425, \"(-9.95, -9.94)\": -2.832, \"(-9.94, -9.89)\": -2.687, \"(-9.89, -9.84)\": -1.935, \"(-9.84, -9.83)\": -1.798, \"(-9.83, -9.81)\": -1.724, \"(-9.81, -9.79)\": -1.599, \"(-9.79, -9.78)\": -1.522, \"(-9.78, -9.76)\": -1.446, \"(-9.76, -9.72)\": -1.366, \"(-9.72, -9.68)\": -1.174, \"(-9.68, -9.65)\": -1.106, \"(-9.65, -9.63)\": -1.04, \"(-9.63, -9.6)\": -0.974, \"(-9.6, -9.57)\": -0.896, \"(-9.57, -9.55)\": -0.827, \"(-9.55, -9.49)\": -0.759, \"(-9.49, -9.42)\": -0.599, \"(-9.42, -9.38)\": -0.515, \"(-9.38, -9.3)\": -0.43, \"(-9.3, -9.24)\": -0.346, \"(-9.24, -9.19)\": -0.269, \"(-9.19, -9.09)\": -0.171, \"(-9.09, -9.02)\": -0.078, \"(-9.02, -8.92)\": -0.007, \"(-8.92, -8.83)\": 0.098, \"(-8.83, -8.74)\": 0.165, \"(-8.74, -8.64)\": 0.242, \"(-8.64, -8.55)\": 0.318, \"(-8.55, -8.43)\": 0.389, \"(-8.43, -8.31)\": 0.459, \"(-8.31, -8.19)\": 0.54, \"(-8.19, -8.04)\": 0.606, \"(-8.04, -7.87)\": 0.686, \"(-7.87, -7.71)\": 0.765, \"(-7.71, -7.54)\": 0.833, \"(-7.54, -7.38)\": 0.902, \"(-7.38, -7.2)\": 0.977, \"(-7.2, -6.98)\": 1.045, \"(-6.98, -6.77)\": 1.11, \"(-6.77, -6.54)\": 1.183, \"(-6.54, -6.28)\": 1.247, \"(-6.28, -6.05)\": 1.315, \"(-6.05, -5.75)\": 1.379, \"(-5.75, -5.48)\": 1.447, \"(-5.48, -5.16)\": 1.512, \"(-5.16, -4.82)\": 1.579, \"(-4.82, -4.46)\": 1.648, \"(-4.46, -4.1)\": 1.713, \"(-4.1, -3.7)\": 1.78, \"(-3.7, -3.25)\": 1.844, \"(-3.25, -2.77)\": 1.91, \"(-2.77, -2.31)\": 1.978, \"(-2.31, -1.75)\": 2.043, \"(-1.75, -1.19)\": 2.108, \"(-1.19, -0.6)\": 2.176, \"(-0.6, 0.08)\": 2.241, \"(0.08, 0.73)\": 2.308, \"(0.73, 1.48)\": 2.374, \"(1.48, 2.26)\": 2.439, \"(2.26, 3.05)\": 2.505, \"(3.05, 3.92)\": 2.569, \"(3.92, 4.89)\": 2.634, \"(4.89, 5.95)\": 2.701, \"(5.95, 7.02)\": 2.767, \"(7.02, 8.16)\": 2.832, \"(8.16, 9.38)\": 2.897, \"(9.38, 9.98)\": 2.962}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.96)\": 4.102, \"(-9.96, -9.96)\": 3.251, \"(-9.96, -9.95)\": 3.037, \"(-9.95, -9.94)\": 2.848, \"(-9.94, -9.91)\": 2.769, \"(-9.91, -9.86)\": 2.133, \"(-9.86, -9.83)\": 1.845, \"(-9.83, -9.82)\": 1.727, \"(-9.82, -9.79)\": 1.602, \"(-9.79, -9.76)\": 1.477, \"(-9.76, -9.73)\": 1.362, \"(-9.73, -9.69)\": 1.269, \"(-9.69, -9.65)\": 1.095, \"(-9.65, -9.61)\": 0.989, \"(-9.61, -9.56)\": 0.897, \"(-9.56, -9.49)\": 0.73, \"(-9.49, -9.46)\": 0.628, \"(-9.46, -9.39)\": 0.549, \"(-9.39, -9.32)\": 0.462, \"(-9.32, -9.24)\": 0.318, \"(-9.24, -9.18)\": 0.242, \"(-9.18, -9.09)\": 0.17, \"(-9.09, -8.96)\": 0.022, \"(-8.96, -8.87)\": -0.053, \"(-8.87, -8.76)\": -0.156, \"(-8.76, -8.66)\": -0.229, \"(-8.66, -8.55)\": -0.316, \"(-8.55, -8.42)\": -0.393, \"(-8.42, -8.3)\": -0.464, \"(-8.3, -8.17)\": -0.544, \"(-8.17, -8.03)\": -0.615, \"(-8.03, -7.9)\": -0.686, \"(-7.9, -7.7)\": -0.757, \"(-7.7, -7.5)\": -0.849, \"(-7.5, -7.29)\": -0.93, \"(-7.29, -7.08)\": -1.002, \"(-7.08, -6.88)\": -1.076, \"(-6.88, -6.65)\": -1.147, \"(-6.65, -6.38)\": -1.22, \"(-6.38, -6.08)\": -1.293, \"(-6.08, -5.81)\": -1.367, \"(-5.81, -5.45)\": -1.44, \"(-5.45, -5.16)\": -1.513, \"(-5.16, -4.79)\": -1.583, \"(-4.79, -4.35)\": -1.656, \"(-4.35, -3.97)\": -1.727, \"(-3.97, -3.49)\": -1.799, \"(-3.49, -2.98)\": -1.87, \"(-2.98, -2.41)\": -1.947, \"(-2.41, -1.97)\": -2.019, \"(-1.97, -1.35)\": -2.091, \"(-1.35, -0.63)\": -2.162, \"(-0.63, 0.07)\": -2.234, \"(0.07, 0.85)\": -2.306, \"(0.85, 1.65)\": -2.378, \"(1.65, 2.47)\": -2.45, \"(2.47, 3.43)\": -2.521, \"(3.43, 4.44)\": -2.593, \"(4.44, 5.59)\": -2.665, \"(5.59, 6.74)\": -2.736, \"(6.74, 8.11)\": -2.809, \"(8.11, 9.51)\": -2.881, \"(9.51, 9.98)\": -2.952}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.79)\": -9.99, \"(-9.79, -9.58)\": -9.79, \"(-9.58, -9.39)\": -9.57, \"(-9.39, -9.16)\": -9.36, \"(-9.16, -8.96)\": -9.15, \"(-8.96, -8.74)\": -8.94, \"(-8.74, -8.55)\": -8.74, \"(-8.55, -8.32)\": -8.52, \"(-8.32, -8.11)\": -8.32, \"(-8.11, -7.91)\": -8.1, \"(-7.91, -7.67)\": -7.88, \"(-7.67, -7.44)\": -7.66, \"(-7.44, -7.23)\": -7.43, \"(-7.23, -7.06)\": -7.23, \"(-7.06, -6.83)\": -7.02, \"(-6.83, -6.54)\": -6.8, \"(-6.54, -6.26)\": -6.47, \"(-6.26, -6.07)\": -6.25, \"(-6.07, -5.83)\": -6.05, \"(-5.83, -5.59)\": -5.82, \"(-5.59, -5.34)\": -5.55, \"(-5.34, -5.14)\": -5.35, \"(-5.14, -4.93)\": -5.14, \"(-4.93, -4.73)\": -4.93, \"(-4.73, -4.51)\": -4.71, \"(-4.51, -4.31)\": -4.51, \"(-4.31, -4.07)\": -4.3, \"(-4.07, -3.84)\": -4.06, \"(-3.84, -3.64)\": -3.84, \"(-3.64, -3.45)\": -3.63, \"(-3.45, -3.23)\": -3.43, \"(-3.23, -3.04)\": -3.23, \"(-3.04, -2.79)\": -3.01, \"(-2.79, -2.59)\": -2.79, \"(-2.59, -2.39)\": -2.58, \"(-2.39, -2.17)\": -2.37, \"(-2.17, -1.93)\": -2.15, \"(-1.93, -1.72)\": -1.93, \"(-1.72, -1.52)\": -1.73, \"(-1.52, -1.3)\": -1.5, \"(-1.3, -1.09)\": -1.28, \"(-1.09, -0.86)\": -1.08, \"(-0.86, -0.67)\": -0.87, \"(-0.67, -0.47)\": -0.65, \"(-0.47, -0.23)\": -0.44, \"(-0.23, -0.02)\": -0.22, \"(-0.02, 0.19)\": 0.01, \"(0.19, 0.42)\": 0.21, \"(0.42, 0.68)\": 0.47, \"(0.68, 0.89)\": 0.7, \"(0.89, 1.11)\": 0.91, \"(1.11, 1.3)\": 1.12, \"(1.3, 1.53)\": 1.33, \"(1.53, 1.76)\": 1.55, \"(1.76, 1.95)\": 1.76, \"(1.95, 2.17)\": 1.97, \"(2.17, 2.36)\": 2.18, \"(2.36, 2.58)\": 2.39, \"(2.58, 2.8)\": 2.6, \"(2.8, 3.0)\": 2.82, \"(3.0, 3.24)\": 3.02, \"(3.24, 3.43)\": 3.25, \"(3.43, 3.66)\": 3.45, \"(3.66, 3.86)\": 3.67, \"(3.86, 4.07)\": 3.88, \"(4.07, 4.27)\": 4.08, \"(4.27, 4.49)\": 4.29, \"(4.49, 4.73)\": 4.51, \"(4.73, 4.91)\": 4.73, \"(4.91, 5.14)\": 4.96, \"(5.14, 5.39)\": 5.17, \"(5.39, 5.61)\": 5.41, \"(5.61, 5.82)\": 5.61, \"(5.82, 6.01)\": 5.82, \"(6.01, 6.24)\": 6.04, \"(6.24, 6.48)\": 6.26, \"(6.48, 6.69)\": 6.48, \"(6.69, 6.89)\": 6.69, \"(6.89, 7.11)\": 6.9, \"(7.11, 7.31)\": 7.11, \"(7.31, 7.5)\": 7.32, \"(7.5, 7.7)\": 7.52, \"(7.7, 7.91)\": 7.74, \"(7.91, 8.14)\": 7.94, \"(8.14, 8.37)\": 8.16, \"(8.37, 8.58)\": 8.37, \"(8.58, 8.83)\": 8.63, \"(8.83, 9.05)\": 8.84, \"(9.05, 9.25)\": 9.06, \"(9.25, 9.47)\": 9.27, \"(9.47, 9.7)\": 9.5, \"(9.7, 9.91)\": 9.72, \"(9.91, 9.98)\": 9.92}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -9.95)\": 0.527, \"(-9.95, -9.9)\": 0.487, \"(-9.9, -9.83)\": 0.44, \"(-9.83, -9.76)\": 0.347, \"(-9.76, -9.72)\": 0.316, \"(-9.72, -9.69)\": 0.279, \"(-9.69, -9.66)\": 0.253, \"(-9.66, -9.64)\": 0.229, \"(-9.64, -9.58)\": 0.193, \"(-9.58, -9.52)\": 0.119, \"(-9.52, -9.5)\": 0.091, \"(-9.5, -9.47)\": 0.063, \"(-9.47, -9.44)\": 0.037, \"(-9.44, -9.42)\": 0.003, \"(-9.42, -9.37)\": -0.023, \"(-9.37, -9.34)\": -0.064, \"(-9.34, -9.3)\": -0.107, \"(-9.3, -9.27)\": -0.138, \"(-9.27, -9.24)\": -0.169, \"(-9.24, -9.2)\": -0.205, \"(-9.2, -9.17)\": -0.231, \"(-9.17, -9.14)\": -0.266, \"(-9.14, -9.1)\": -0.299, \"(-9.1, -9.06)\": -0.344, \"(-9.06, -9.03)\": -0.367, \"(-9.03, -9.0)\": -0.393, \"(-9.0, -8.97)\": -0.424, \"(-8.97, -8.92)\": -0.451, \"(-8.92, -8.87)\": -0.503, \"(-8.87, -8.85)\": -0.528, \"(-8.85, -8.81)\": -0.554, \"(-8.81, -8.78)\": -0.581, \"(-8.78, -8.75)\": -0.605, \"(-8.75, -8.7)\": -0.647, \"(-8.7, -8.68)\": -0.668, \"(-8.68, -8.62)\": -0.689, \"(-8.62, -8.55)\": -0.736, \"(-8.55, -8.49)\": -0.789, \"(-8.49, -8.45)\": -0.811, \"(-8.45, -8.39)\": -0.839, \"(-8.39, -8.31)\": -0.862, \"(-8.31, -8.23)\": -0.911, \"(-8.23, -8.14)\": -0.939, \"(-8.14, -8.04)\": -0.96, \"(-8.04, -7.59)\": -0.985, \"(-7.59, -7.51)\": -0.963, \"(-7.51, -7.46)\": -0.941, \"(-7.46, -7.4)\": -0.92, \"(-7.4, -7.33)\": -0.886, \"(-7.33, -7.28)\": -0.859, \"(-7.28, -7.25)\": -0.836, \"(-7.25, -7.2)\": -0.813, \"(-7.2, -7.15)\": -0.788, \"(-7.15, -7.08)\": -0.745, \"(-7.08, -7.01)\": -0.683, \"(-7.01, -6.98)\": -0.655, \"(-6.98, -6.94)\": -0.633, \"(-6.94, -6.91)\": -0.596, \"(-6.91, -6.88)\": -0.575, \"(-6.88, -6.84)\": -0.549, \"(-6.84, -6.81)\": -0.526, \"(-6.81, -6.76)\": -0.498, \"(-6.76, -6.71)\": -0.427, \"(-6.71, -6.68)\": -0.402, \"(-6.68, -6.63)\": -0.377, \"(-6.63, -6.6)\": -0.33, \"(-6.6, -6.57)\": -0.298, \"(-6.57, -6.55)\": -0.277, \"(-6.55, -6.49)\": -0.254, \"(-6.49, -6.42)\": -0.176, \"(-6.42, -6.37)\": -0.105, \"(-6.37, -6.34)\": -0.076, \"(-6.34, -6.32)\": -0.053, \"(-6.32, -6.28)\": -0.013, \"(-6.28, -6.26)\": 0.012, \"(-6.26, -6.24)\": 0.032, \"(-6.24, -6.22)\": 0.056, \"(-6.22, -6.19)\": 0.077, \"(-6.19, -6.13)\": 0.097, \"(-6.13, -6.08)\": 0.193, \"(-6.08, -6.06)\": 0.214, \"(-6.06, -6.03)\": 0.239, \"(-6.03, -6.0)\": 0.266, \"(-6.0, -5.95)\": 0.3, \"(-5.95, -5.92)\": 0.335, \"(-5.92, -5.89)\": 0.358, \"(-5.89, -5.85)\": 0.403, \"(-5.85, -5.79)\": 0.439, \"(-5.79, -5.72)\": 0.517, \"(-5.72, -5.68)\": 0.546, \"(-5.68, -5.66)\": 0.567, \"(-5.66, -5.61)\": 0.589, \"(-5.61, -5.58)\": 0.629, \"(-5.58, -5.54)\": 0.654, \"(-5.54, -5.52)\": 0.678, \"(-5.52, -5.47)\": 0.708, \"(-5.47, -5.43)\": 0.735, \"(-5.43, -5.39)\": 0.759, \"(-5.39, -5.36)\": 0.779, \"(-5.36, -5.32)\": 0.802, \"(-5.32, -5.26)\": 0.828, \"(-5.26, -5.19)\": 0.87, \"(-5.19, -5.13)\": 0.895, \"(-5.13, -5.06)\": 0.918, \"(-5.06, -4.98)\": 0.944, \"(-4.98, -4.88)\": 0.968, \"(-4.88, -4.46)\": 0.988, \"(-4.46, -4.34)\": 0.964, \"(-4.34, -4.25)\": 0.916, \"(-4.25, -4.2)\": 0.894, \"(-4.2, -4.13)\": 0.869, \"(-4.13, -4.05)\": 0.809, \"(-4.05, -4.02)\": 0.783, \"(-4.02, -3.98)\": 0.759, \"(-3.98, -3.92)\": 0.721, \"(-3.92, -3.9)\": 0.697, \"(-3.9, -3.86)\": 0.677, \"(-3.86, -3.83)\": 0.656, \"(-3.83, -3.78)\": 0.632, \"(-3.78, -3.74)\": 0.579, \"(-3.74, -3.72)\": 0.558, \"(-3.72, -3.65)\": 0.53, \"(-3.65, -3.57)\": 0.436, \"(-3.57, -3.54)\": 0.406, \"(-3.54, -3.51)\": 0.372, \"(-3.51, -3.48)\": 0.348, \"(-3.48, -3.44)\": 0.315, \"(-3.44, -3.41)\": 0.276, \"(-3.41, -3.36)\": 0.244, \"(-3.36, -3.33)\": 0.199, \"(-3.33, -3.28)\": 0.165, \"(-3.28, -3.24)\": 0.125, \"(-3.24, -3.21)\": 0.083, \"(-3.21, -3.18)\": 0.057, \"(-3.18, -3.14)\": 0.016, \"(-3.14, -3.11)\": -0.015, \"(-3.11, -3.08)\": -0.037, \"(-3.08, -3.03)\": -0.074, \"(-3.03, -2.97)\": -0.147, \"(-2.97, -2.95)\": -0.171, \"(-2.95, -2.91)\": -0.201, \"(-2.91, -2.87)\": -0.24, \"(-2.87, -2.83)\": -0.267, \"(-2.83, -2.8)\": -0.321, \"(-2.8, -2.74)\": -0.345, \"(-2.74, -2.69)\": -0.414, \"(-2.69, -2.64)\": -0.453, \"(-2.64, -2.58)\": -0.501, \"(-2.58, -2.56)\": -0.539, \"(-2.56, -2.52)\": -0.562, \"(-2.52, -2.49)\": -0.597, \"(-2.49, -2.46)\": -0.622, \"(-2.46, -2.41)\": -0.647, \"(-2.41, -2.34)\": -0.695, \"(-2.34, -2.31)\": -0.718, \"(-2.31, -2.29)\": -0.741, \"(-2.29, -2.24)\": -0.767, \"(-2.24, -2.17)\": -0.808, \"(-2.17, -2.11)\": -0.829, \"(-2.11, -2.06)\": -0.867, \"(-2.06, -2.0)\": -0.89, \"(-2.0, -1.95)\": -0.912, \"(-1.95, -1.88)\": -0.934, \"(-1.88, -1.78)\": -0.956, \"(-1.78, -1.32)\": -0.984, \"(-1.32, -1.23)\": -0.962, \"(-1.23, -1.17)\": -0.938, \"(-1.17, -1.1)\": -0.913, \"(-1.1, -1.03)\": -0.885, \"(-1.03, -0.92)\": -0.85, \"(-0.92, -0.82)\": -0.745, \"(-0.82, -0.77)\": -0.722, \"(-0.77, -0.72)\": -0.674, \"(-0.72, -0.68)\": -0.654, \"(-0.68, -0.66)\": -0.631, \"(-0.66, -0.63)\": -0.609, \"(-0.63, -0.6)\": -0.582, \"(-0.6, -0.57)\": -0.557, \"(-0.57, -0.54)\": -0.532, \"(-0.54, -0.49)\": -0.494, \"(-0.49, -0.45)\": -0.469, \"(-0.45, -0.39)\": -0.404, \"(-0.39, -0.36)\": -0.379, \"(-0.36, -0.34)\": -0.347, \"(-0.34, -0.3)\": -0.324, \"(-0.3, -0.26)\": -0.27, \"(-0.26, -0.24)\": -0.249, \"(-0.24, -0.2)\": -0.229, \"(-0.2, -0.17)\": -0.187, \"(-0.17, -0.14)\": -0.162, \"(-0.14, -0.1)\": -0.126, \"(-0.1, -0.05)\": -0.07, \"(-0.05, -0.02)\": -0.041, \"(-0.02, 0.01)\": -0.015, \"(0.01, 0.03)\": 0.017, \"(0.03, 0.06)\": 0.04, \"(0.06, 0.08)\": 0.062, \"(0.08, 0.11)\": 0.092, \"(0.11, 0.13)\": 0.117, \"(0.13, 0.18)\": 0.138, \"(0.18, 0.22)\": 0.193, \"(0.22, 0.29)\": 0.238, \"(0.29, 0.34)\": 0.31, \"(0.34, 0.37)\": 0.346, \"(0.37, 0.41)\": 0.384, \"(0.41, 0.46)\": 0.409, \"(0.46, 0.5)\": 0.466, \"(0.5, 0.53)\": 0.493, \"(0.53, 0.6)\": 0.514, \"(0.6, 0.69)\": 0.616, \"(0.69, 0.72)\": 0.637, \"(0.72, 0.77)\": 0.673, \"(0.77, 0.83)\": 0.716, \"(0.83, 0.87)\": 0.741, \"(0.87, 0.93)\": 0.773, \"(0.93, 1.0)\": 0.815, \"(1.0, 1.06)\": 0.85, \"(1.06, 1.1)\": 0.874, \"(1.1, 1.19)\": 0.906, \"(1.19, 1.27)\": 0.93, \"(1.27, 1.37)\": 0.96, \"(1.37, 1.84)\": 0.981, \"(1.84, 1.9)\": 0.96, \"(1.9, 1.99)\": 0.933, \"(1.99, 2.05)\": 0.912, \"(2.05, 2.1)\": 0.88, \"(2.1, 2.15)\": 0.859, \"(2.15, 2.2)\": 0.822, \"(2.2, 2.25)\": 0.795, \"(2.25, 2.3)\": 0.774, \"(2.3, 2.35)\": 0.737, \"(2.35, 2.39)\": 0.697, \"(2.39, 2.45)\": 0.67, \"(2.45, 2.5)\": 0.617, \"(2.5, 2.54)\": 0.59, \"(2.54, 2.57)\": 0.567, \"(2.57, 2.62)\": 0.529, \"(2.62, 2.66)\": 0.484, \"(2.66, 2.68)\": 0.456, \"(2.68, 2.72)\": 0.434, \"(2.72, 2.76)\": 0.391, \"(2.76, 2.79)\": 0.364, \"(2.79, 2.82)\": 0.333, \"(2.82, 2.85)\": 0.308, \"(2.85, 2.89)\": 0.285, \"(2.89, 2.92)\": 0.244, \"(2.92, 2.94)\": 0.218, \"(2.94, 2.96)\": 0.197, \"(2.96, 2.99)\": 0.175, \"(2.99, 3.03)\": 0.137, \"(3.03, 3.07)\": 0.096, \"(3.07, 3.16)\": 0.055, \"(3.16, 3.23)\": -0.064, \"(3.23, 3.25)\": -0.088, \"(3.25, 3.27)\": -0.114, \"(3.27, 3.31)\": -0.145, \"(3.31, 3.36)\": -0.192, \"(3.36, 3.4)\": -0.232, \"(3.4, 3.43)\": -0.269, \"(3.43, 3.45)\": -0.292, \"(3.45, 3.5)\": -0.319, \"(3.5, 3.56)\": -0.379, \"(3.56, 3.59)\": -0.42, \"(3.59, 3.63)\": -0.452, \"(3.63, 3.66)\": -0.477, \"(3.66, 3.71)\": -0.504, \"(3.71, 3.75)\": -0.552, \"(3.75, 3.81)\": -0.596, \"(3.81, 3.88)\": -0.628, \"(3.88, 3.96)\": -0.707, \"(3.96, 3.99)\": -0.739, \"(3.99, 4.05)\": -0.761, \"(4.05, 4.13)\": -0.816, \"(4.13, 4.17)\": -0.838, \"(4.17, 4.22)\": -0.86, \"(4.22, 4.28)\": -0.894, \"(4.28, 4.37)\": -0.915, \"(4.37, 4.46)\": -0.949, \"(4.46, 4.56)\": -0.969, \"(4.56, 4.98)\": -0.99, \"(4.98, 5.06)\": -0.951, \"(5.06, 5.12)\": -0.929, \"(5.12, 5.19)\": -0.907, \"(5.19, 5.28)\": -0.859, \"(5.28, 5.32)\": -0.839, \"(5.32, 5.35)\": -0.813, \"(5.35, 5.39)\": -0.787, \"(5.39, 5.46)\": -0.763, \"(5.46, 5.53)\": -0.708, \"(5.53, 5.57)\": -0.677, \"(5.57, 5.61)\": -0.641, \"(5.61, 5.65)\": -0.615, \"(5.65, 5.68)\": -0.59, \"(5.68, 5.71)\": -0.568, \"(5.71, 5.74)\": -0.53, \"(5.74, 5.77)\": -0.503, \"(5.77, 5.82)\": -0.471, \"(5.82, 5.89)\": -0.417, \"(5.89, 5.95)\": -0.365, \"(5.95, 6.01)\": -0.28, \"(6.01, 6.04)\": -0.259, \"(6.04, 6.11)\": -0.201, \"(6.11, 6.18)\": -0.14, \"(6.18, 6.22)\": -0.089, \"(6.22, 6.27)\": -0.059, \"(6.27, 6.31)\": 0.013, \"(6.31, 6.33)\": 0.035, \"(6.33, 6.36)\": 0.062, \"(6.36, 6.39)\": 0.086, \"(6.39, 6.41)\": 0.106, \"(6.41, 6.46)\": 0.146, \"(6.46, 6.5)\": 0.201, \"(6.5, 6.52)\": 0.224, \"(6.52, 6.56)\": 0.253, \"(6.56, 6.59)\": 0.278, \"(6.59, 6.62)\": 0.31, \"(6.62, 6.66)\": 0.347, \"(6.66, 6.69)\": 0.374, \"(6.69, 6.7)\": 0.398, \"(6.7, 6.74)\": 0.419, \"(6.74, 6.77)\": 0.45, \"(6.77, 6.82)\": 0.485, \"(6.82, 6.87)\": 0.53, \"(6.87, 6.91)\": 0.566, \"(6.91, 6.95)\": 0.599, \"(6.95, 7.02)\": 0.64, \"(7.02, 7.09)\": 0.692, \"(7.09, 7.14)\": 0.734, \"(7.14, 7.18)\": 0.757, \"(7.18, 7.24)\": 0.789, \"(7.24, 7.28)\": 0.824, \"(7.28, 7.35)\": 0.851, \"(7.35, 7.41)\": 0.885, \"(7.41, 7.47)\": 0.907, \"(7.47, 7.54)\": 0.929, \"(7.54, 7.59)\": 0.951, \"(7.59, 7.74)\": 0.972, \"(7.74, 8.09)\": 0.993, \"(8.09, 8.21)\": 0.966, \"(8.21, 8.28)\": 0.927, \"(8.28, 8.32)\": 0.905, \"(8.32, 8.37)\": 0.885, \"(8.37, 8.42)\": 0.86, \"(8.42, 8.47)\": 0.837, \"(8.47, 8.51)\": 0.815, \"(8.51, 8.55)\": 0.779, \"(8.55, 8.59)\": 0.758, \"(8.59, 8.62)\": 0.738, \"(8.62, 8.67)\": 0.709, \"(8.67, 8.71)\": 0.667, \"(8.71, 8.76)\": 0.637, \"(8.76, 8.81)\": 0.596, \"(8.81, 8.86)\": 0.575, \"(8.86, 8.92)\": 0.495, \"(8.92, 8.96)\": 0.47, \"(8.96, 8.98)\": 0.446, \"(8.98, 9.0)\": 0.425, \"(9.0, 9.03)\": 0.405, \"(9.03, 9.06)\": 0.37, \"(9.06, 9.09)\": 0.341, \"(9.09, 9.14)\": 0.32, \"(9.14, 9.19)\": 0.248, \"(9.19, 9.22)\": 0.218, \"(9.22, 9.26)\": 0.195, \"(9.26, 9.29)\": 0.159, \"(9.29, 9.33)\": 0.113, \"(9.33, 9.35)\": 0.088, \"(9.35, 9.39)\": 0.044, \"(9.39, 9.45)\": 0.004, \"(9.45, 9.49)\": -0.041, \"(9.49, 9.51)\": -0.064, \"(9.51, 9.54)\": -0.096, \"(9.54, 9.58)\": -0.129, \"(9.58, 9.6)\": -0.154, \"(9.6, 9.62)\": -0.182, \"(9.62, 9.66)\": -0.21, \"(9.66, 9.68)\": -0.244, \"(9.68, 9.73)\": -0.27, \"(9.73, 9.76)\": -0.309, \"(9.76, 9.79)\": -0.344, \"(9.79, 9.84)\": -0.373, \"(9.84, 9.87)\": -0.41, \"(9.87, 9.9)\": -0.441, \"(9.9, 9.95)\": -0.473, \"(9.95, 10.0)\": -0.526}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.93)\": -0.518, \"(-9.93, -9.88)\": -0.47, \"(-9.88, -9.86)\": -0.436, \"(-9.86, -9.83)\": -0.415, \"(-9.83, -9.81)\": -0.389, \"(-9.81, -9.78)\": -0.363, \"(-9.78, -9.74)\": -0.326, \"(-9.74, -9.72)\": -0.304, \"(-9.72, -9.69)\": -0.28, \"(-9.69, -9.66)\": -0.254, \"(-9.66, -9.63)\": -0.225, \"(-9.63, -9.59)\": -0.183, \"(-9.59, -9.56)\": -0.15, \"(-9.56, -9.51)\": -0.122, \"(-9.51, -9.48)\": -0.079, \"(-9.48, -9.46)\": -0.055, \"(-9.46, -9.44)\": -0.027, \"(-9.44, -9.41)\": -0.006, \"(-9.41, -9.39)\": 0.021, \"(-9.39, -9.36)\": 0.044, \"(-9.36, -9.32)\": 0.072, \"(-9.32, -9.29)\": 0.12, \"(-9.29, -9.24)\": 0.157, \"(-9.24, -9.2)\": 0.206, \"(-9.2, -9.17)\": 0.233, \"(-9.17, -9.14)\": 0.257, \"(-9.14, -9.11)\": 0.291, \"(-9.11, -9.08)\": 0.32, \"(-9.08, -9.04)\": 0.346, \"(-9.04, -8.99)\": 0.4, \"(-8.99, -8.93)\": 0.436, \"(-8.93, -8.87)\": 0.503, \"(-8.87, -8.84)\": 0.527, \"(-8.84, -8.82)\": 0.554, \"(-8.82, -8.78)\": 0.575, \"(-8.78, -8.73)\": 0.615, \"(-8.73, -8.69)\": 0.651, \"(-8.69, -8.65)\": 0.677, \"(-8.65, -8.61)\": 0.712, \"(-8.61, -8.58)\": 0.733, \"(-8.58, -8.53)\": 0.755, \"(-8.53, -8.48)\": 0.788, \"(-8.48, -8.42)\": 0.821, \"(-8.42, -8.38)\": 0.846, \"(-8.38, -8.33)\": 0.869, \"(-8.33, -8.27)\": 0.896, \"(-8.27, -8.22)\": 0.916, \"(-8.22, -8.13)\": 0.938, \"(-8.13, -7.98)\": 0.972, \"(-7.98, -7.64)\": 0.994, \"(-7.64, -7.55)\": 0.974, \"(-7.55, -7.48)\": 0.951, \"(-7.48, -7.41)\": 0.922, \"(-7.41, -7.35)\": 0.898, \"(-7.35, -7.33)\": 0.872, \"(-7.33, -7.28)\": 0.852, \"(-7.28, -7.23)\": 0.824, \"(-7.23, -7.18)\": 0.798, \"(-7.18, -7.15)\": 0.776, \"(-7.15, -7.11)\": 0.753, \"(-7.11, -7.05)\": 0.72, \"(-7.05, -7.01)\": 0.684, \"(-7.01, -6.98)\": 0.658, \"(-6.98, -6.95)\": 0.632, \"(-6.95, -6.9)\": 0.601, \"(-6.9, -6.87)\": 0.563, \"(-6.87, -6.84)\": 0.539, \"(-6.84, -6.8)\": 0.515, \"(-6.8, -6.76)\": 0.483, \"(-6.76, -6.73)\": 0.459, \"(-6.73, -6.69)\": 0.424, \"(-6.69, -6.63)\": 0.382, \"(-6.63, -6.58)\": 0.308, \"(-6.58, -6.55)\": 0.284, \"(-6.55, -6.51)\": 0.243, \"(-6.51, -6.48)\": 0.213, \"(-6.48, -6.45)\": 0.184, \"(-6.45, -6.43)\": 0.155, \"(-6.43, -6.4)\": 0.131, \"(-6.4, -6.37)\": 0.105, \"(-6.37, -6.34)\": 0.081, \"(-6.34, -6.31)\": 0.048, \"(-6.31, -6.28)\": 0.014, \"(-6.28, -6.25)\": -0.01, \"(-6.25, -6.24)\": -0.036, \"(-6.24, -6.2)\": -0.057, \"(-6.2, -6.18)\": -0.086, \"(-6.18, -6.16)\": -0.116, \"(-6.16, -6.13)\": -0.139, \"(-6.13, -6.11)\": -0.165, \"(-6.11, -6.08)\": -0.185, \"(-6.08, -6.04)\": -0.217, \"(-6.04, -6.02)\": -0.242, \"(-6.02, -5.99)\": -0.271, \"(-5.99, -5.96)\": -0.304, \"(-5.96, -5.92)\": -0.337, \"(-5.92, -5.89)\": -0.359, \"(-5.89, -5.85)\": -0.397, \"(-5.85, -5.83)\": -0.43, \"(-5.83, -5.8)\": -0.452, \"(-5.8, -5.76)\": -0.476, \"(-5.76, -5.74)\": -0.5, \"(-5.74, -5.7)\": -0.527, \"(-5.7, -5.64)\": -0.571, \"(-5.64, -5.6)\": -0.608, \"(-5.6, -5.55)\": -0.64, \"(-5.55, -5.5)\": -0.682, \"(-5.5, -5.47)\": -0.706, \"(-5.47, -5.41)\": -0.738, \"(-5.41, -5.33)\": -0.789, \"(-5.33, -5.3)\": -0.811, \"(-5.3, -5.27)\": -0.836, \"(-5.27, -5.21)\": -0.859, \"(-5.21, -5.15)\": -0.881, \"(-5.15, -5.09)\": -0.908, \"(-5.09, -5.0)\": -0.933, \"(-5.0, -4.88)\": -0.965, \"(-4.88, -4.45)\": -0.986, \"(-4.45, -4.39)\": -0.961, \"(-4.39, -4.29)\": -0.932, \"(-4.29, -4.24)\": -0.91, \"(-4.24, -4.18)\": -0.886, \"(-4.18, -4.13)\": -0.851, \"(-4.13, -4.1)\": -0.83, \"(-4.1, -4.04)\": -0.809, \"(-4.04, -4.0)\": -0.782, \"(-4.0, -3.95)\": -0.747, \"(-3.95, -3.89)\": -0.702, \"(-3.89, -3.84)\": -0.657, \"(-3.84, -3.78)\": -0.633, \"(-3.78, -3.72)\": -0.567, \"(-3.72, -3.69)\": -0.538, \"(-3.69, -3.64)\": -0.505, \"(-3.64, -3.59)\": -0.458, \"(-3.59, -3.55)\": -0.416, \"(-3.55, -3.51)\": -0.388, \"(-3.51, -3.44)\": -0.338, \"(-3.44, -3.4)\": -0.27, \"(-3.4, -3.37)\": -0.248, \"(-3.37, -3.34)\": -0.213, \"(-3.34, -3.3)\": -0.184, \"(-3.3, -3.27)\": -0.154, \"(-3.27, -3.24)\": -0.117, \"(-3.24, -3.2)\": -0.094, \"(-3.2, -3.15)\": -0.043, \"(-3.15, -3.11)\": 0.008, \"(-3.11, -3.06)\": 0.048, \"(-3.06, -3.01)\": 0.102, \"(-3.01, -2.96)\": 0.166, \"(-2.96, -2.94)\": 0.191, \"(-2.94, -2.91)\": 0.215, \"(-2.91, -2.88)\": 0.236, \"(-2.88, -2.85)\": 0.272, \"(-2.85, -2.82)\": 0.308, \"(-2.82, -2.78)\": 0.329, \"(-2.78, -2.74)\": 0.375, \"(-2.74, -2.72)\": 0.397, \"(-2.72, -2.69)\": 0.417, \"(-2.69, -2.65)\": 0.458, \"(-2.65, -2.6)\": 0.489, \"(-2.6, -2.56)\": 0.54, \"(-2.56, -2.51)\": 0.565, \"(-2.51, -2.43)\": 0.631, \"(-2.43, -2.39)\": 0.667, \"(-2.39, -2.35)\": 0.689, \"(-2.35, -2.29)\": 0.722, \"(-2.29, -2.25)\": 0.761, \"(-2.25, -2.21)\": 0.783, \"(-2.21, -2.18)\": 0.803, \"(-2.18, -2.13)\": 0.829, \"(-2.13, -2.09)\": 0.851, \"(-2.09, -2.04)\": 0.872, \"(-2.04, -1.99)\": 0.895, \"(-1.99, -1.9)\": 0.923, \"(-1.9, -1.8)\": 0.952, \"(-1.8, -1.68)\": 0.973, \"(-1.68, -1.36)\": 0.995, \"(-1.36, -1.22)\": 0.97, \"(-1.22, -1.12)\": 0.925, \"(-1.12, -1.06)\": 0.891, \"(-1.06, -1.02)\": 0.868, \"(-1.02, -0.96)\": 0.84, \"(-0.96, -0.91)\": 0.807, \"(-0.91, -0.87)\": 0.784, \"(-0.87, -0.83)\": 0.762, \"(-0.83, -0.79)\": 0.726, \"(-0.79, -0.75)\": 0.697, \"(-0.75, -0.71)\": 0.677, \"(-0.71, -0.68)\": 0.645, \"(-0.68, -0.64)\": 0.619, \"(-0.64, -0.62)\": 0.595, \"(-0.62, -0.59)\": 0.575, \"(-0.59, -0.57)\": 0.545, \"(-0.57, -0.52)\": 0.523, \"(-0.52, -0.48)\": 0.492, \"(-0.48, -0.42)\": 0.438, \"(-0.42, -0.37)\": 0.382, \"(-0.37, -0.33)\": 0.355, \"(-0.33, -0.3)\": 0.314, \"(-0.3, -0.27)\": 0.292, \"(-0.27, -0.23)\": 0.256, \"(-0.23, -0.19)\": 0.207, \"(-0.19, -0.16)\": 0.181, \"(-0.16, -0.13)\": 0.146, \"(-0.13, -0.08)\": 0.113, \"(-0.08, -0.05)\": 0.078, \"(-0.05, -0.01)\": 0.024, \"(-0.01, 0.02)\": -0.003, \"(0.02, 0.05)\": -0.036, \"(0.05, 0.08)\": -0.065, \"(0.08, 0.11)\": -0.086, \"(0.11, 0.15)\": -0.124, \"(0.15, 0.18)\": -0.171, \"(0.18, 0.21)\": -0.192, \"(0.21, 0.26)\": -0.226, \"(0.26, 0.31)\": -0.288, \"(0.31, 0.34)\": -0.317, \"(0.34, 0.37)\": -0.347, \"(0.37, 0.41)\": -0.372, \"(0.41, 0.46)\": -0.415, \"(0.46, 0.5)\": -0.46, \"(0.5, 0.53)\": -0.493, \"(0.53, 0.56)\": -0.516, \"(0.56, 0.58)\": -0.538, \"(0.58, 0.62)\": -0.56, \"(0.62, 0.65)\": -0.586, \"(0.65, 0.68)\": -0.611, \"(0.68, 0.72)\": -0.638, \"(0.72, 0.76)\": -0.659, \"(0.76, 0.83)\": -0.717, \"(0.83, 0.89)\": -0.739, \"(0.89, 0.96)\": -0.8, \"(0.96, 1.01)\": -0.822, \"(1.01, 1.05)\": -0.849, \"(1.05, 1.12)\": -0.874, \"(1.12, 1.2)\": -0.908, \"(1.2, 1.27)\": -0.935, \"(1.27, 1.37)\": -0.959, \"(1.37, 1.86)\": -0.981, \"(1.86, 1.94)\": -0.952, \"(1.94, 2.02)\": -0.931, \"(2.02, 2.1)\": -0.885, \"(2.1, 2.13)\": -0.863, \"(2.13, 2.19)\": -0.842, \"(2.19, 2.24)\": -0.807, \"(2.24, 2.27)\": -0.781, \"(2.27, 2.33)\": -0.758, \"(2.33, 2.37)\": -0.712, \"(2.37, 2.41)\": -0.683, \"(2.41, 2.46)\": -0.661, \"(2.46, 2.51)\": -0.624, \"(2.51, 2.57)\": -0.56, \"(2.57, 2.61)\": -0.528, \"(2.61, 2.63)\": -0.503, \"(2.63, 2.67)\": -0.475, \"(2.67, 2.71)\": -0.432, \"(2.71, 2.75)\": -0.408, \"(2.75, 2.79)\": -0.369, \"(2.79, 2.82)\": -0.336, \"(2.82, 2.85)\": -0.305, \"(2.85, 2.88)\": -0.273, \"(2.88, 2.9)\": -0.251, \"(2.9, 2.92)\": -0.23, \"(2.92, 2.96)\": -0.205, \"(2.96, 3.04)\": -0.16, \"(3.04, 3.13)\": -0.05, \"(3.13, 3.17)\": 0.01, \"(3.17, 3.22)\": 0.053, \"(3.22, 3.26)\": 0.105, \"(3.26, 3.29)\": 0.138, \"(3.29, 3.33)\": 0.166, \"(3.33, 3.35)\": 0.191, \"(3.35, 3.38)\": 0.216, \"(3.38, 3.42)\": 0.249, \"(3.42, 3.45)\": 0.283, \"(3.45, 3.51)\": 0.336, \"(3.51, 3.53)\": 0.367, \"(3.53, 3.56)\": 0.394, \"(3.56, 3.59)\": 0.417, \"(3.59, 3.63)\": 0.45, \"(3.63, 3.66)\": 0.483, \"(3.66, 3.71)\": 0.511, \"(3.71, 3.77)\": 0.561, \"(3.77, 3.83)\": 0.605, \"(3.83, 3.89)\": 0.646, \"(3.89, 3.96)\": 0.707, \"(3.96, 4.03)\": 0.749, \"(4.03, 4.08)\": 0.788, \"(4.08, 4.11)\": 0.81, \"(4.11, 4.17)\": 0.833, \"(4.17, 4.29)\": 0.876, \"(4.29, 4.36)\": 0.927, \"(4.36, 4.47)\": 0.947, \"(4.47, 4.58)\": 0.973, \"(4.58, 4.93)\": 0.993, \"(4.93, 5.04)\": 0.973, \"(5.04, 5.11)\": 0.938, \"(5.11, 5.17)\": 0.917, \"(5.17, 5.22)\": 0.894, \"(5.22, 5.3)\": 0.862, \"(5.3, 5.34)\": 0.824, \"(5.34, 5.39)\": 0.804, \"(5.39, 5.43)\": 0.779, \"(5.43, 5.46)\": 0.75, \"(5.46, 5.48)\": 0.73, \"(5.48, 5.54)\": 0.704, \"(5.54, 5.57)\": 0.667, \"(5.57, 5.64)\": 0.631, \"(5.64, 5.68)\": 0.588, \"(5.68, 5.69)\": 0.567, \"(5.69, 5.73)\": 0.542, \"(5.73, 5.77)\": 0.511, \"(5.77, 5.81)\": 0.475, \"(5.81, 5.82)\": 0.454, \"(5.82, 5.86)\": 0.431, \"(5.86, 5.91)\": 0.398, \"(5.91, 5.96)\": 0.337, \"(5.96, 6.0)\": 0.298, \"(6.0, 6.03)\": 0.272, \"(6.03, 6.08)\": 0.23, \"(6.08, 6.11)\": 0.189, \"(6.11, 6.14)\": 0.165, \"(6.14, 6.17)\": 0.125, \"(6.17, 6.19)\": 0.102, \"(6.19, 6.23)\": 0.077, \"(6.23, 6.25)\": 0.048, \"(6.25, 6.28)\": 0.025, \"(6.28, 6.31)\": -0.01, \"(6.31, 6.34)\": -0.031, \"(6.34, 6.37)\": -0.074, \"(6.37, 6.39)\": -0.095, \"(6.39, 6.43)\": -0.123, \"(6.43, 6.49)\": -0.179, \"(6.49, 6.53)\": -0.228, \"(6.53, 6.56)\": -0.251, \"(6.56, 6.58)\": -0.281, \"(6.58, 6.62)\": -0.309, \"(6.62, 6.65)\": -0.331, \"(6.65, 6.68)\": -0.361, \"(6.68, 6.71)\": -0.404, \"(6.71, 6.75)\": -0.432, \"(6.75, 6.79)\": -0.463, \"(6.79, 6.83)\": -0.485, \"(6.83, 6.89)\": -0.541, \"(6.89, 6.92)\": -0.58, \"(6.92, 6.95)\": -0.601, \"(6.95, 6.99)\": -0.624, \"(6.99, 7.05)\": -0.662, \"(7.05, 7.11)\": -0.708, \"(7.11, 7.15)\": -0.747, \"(7.15, 7.19)\": -0.77, \"(7.19, 7.23)\": -0.795, \"(7.23, 7.27)\": -0.818, \"(7.27, 7.33)\": -0.848, \"(7.33, 7.38)\": -0.872, \"(7.38, 7.42)\": -0.894, \"(7.42, 7.51)\": -0.915, \"(7.51, 7.56)\": -0.944, \"(7.56, 7.68)\": -0.965, \"(7.68, 8.12)\": -0.985, \"(8.12, 8.23)\": -0.96, \"(8.23, 8.33)\": -0.909, \"(8.33, 8.38)\": -0.882, \"(8.38, 8.43)\": -0.853, \"(8.43, 8.47)\": -0.826, \"(8.47, 8.51)\": -0.805, \"(8.51, 8.55)\": -0.784, \"(8.55, 8.59)\": -0.753, \"(8.59, 8.63)\": -0.73, \"(8.63, 8.69)\": -0.707, \"(8.69, 8.74)\": -0.659, \"(8.74, 8.81)\": -0.605, \"(8.81, 8.88)\": -0.546, \"(8.88, 8.92)\": -0.502, \"(8.92, 8.97)\": -0.455, \"(8.97, 9.0)\": -0.431, \"(9.0, 9.03)\": -0.404, \"(9.03, 9.06)\": -0.378, \"(9.06, 9.11)\": -0.336, \"(9.11, 9.18)\": -0.285, \"(9.18, 9.24)\": -0.208, \"(9.24, 9.29)\": -0.177, \"(9.29, 9.33)\": -0.112, \"(9.33, 9.37)\": -0.085, \"(9.37, 9.42)\": -0.034, \"(9.42, 9.45)\": -0.004, \"(9.45, 9.49)\": 0.034, \"(9.49, 9.56)\": 0.071, \"(9.56, 9.62)\": 0.177, \"(9.62, 9.65)\": 0.201, \"(9.65, 9.68)\": 0.241, \"(9.68, 9.72)\": 0.265, \"(9.72, 9.78)\": 0.322, \"(9.78, 9.82)\": 0.356, \"(9.82, 9.87)\": 0.408, \"(9.87, 9.9)\": 0.434, \"(9.9, 9.96)\": 0.489, \"(9.96, 9.98)\": 0.517}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -9.93)\": 0.507, \"(-9.93, -9.88)\": 0.479, \"(-9.88, -9.81)\": 0.402, \"(-9.81, -9.77)\": 0.365, \"(-9.77, -9.75)\": 0.337, \"(-9.75, -9.73)\": 0.312, \"(-9.73, -9.7)\": 0.285, \"(-9.7, -9.68)\": 0.264, \"(-9.68, -9.65)\": 0.24, \"(-9.65, -9.63)\": 0.219, \"(-9.63, -9.6)\": 0.198, \"(-9.6, -9.57)\": 0.169, \"(-9.57, -9.53)\": 0.132, \"(-9.53, -9.49)\": 0.093, \"(-9.49, -9.45)\": 0.052, \"(-9.45, -9.42)\": 0.018, \"(-9.42, -9.39)\": -0.015, \"(-9.39, -9.36)\": -0.04, \"(-9.36, -9.35)\": -0.063, \"(-9.35, -9.31)\": -0.086, \"(-9.31, -9.28)\": -0.124, \"(-9.28, -9.26)\": -0.147, \"(-9.26, -9.22)\": -0.184, \"(-9.22, -9.19)\": -0.218, \"(-9.19, -9.15)\": -0.241, \"(-9.15, -9.12)\": -0.29, \"(-9.12, -9.08)\": -0.31, \"(-9.08, -9.04)\": -0.362, \"(-9.04, -9.01)\": -0.392, \"(-9.01, -8.97)\": -0.412, \"(-8.97, -8.92)\": -0.469, \"(-8.92, -8.89)\": -0.498, \"(-8.89, -8.85)\": -0.529, \"(-8.85, -8.78)\": -0.567, \"(-8.78, -8.71)\": -0.638, \"(-8.71, -8.66)\": -0.661, \"(-8.66, -8.62)\": -0.703, \"(-8.62, -8.59)\": -0.724, \"(-8.59, -8.56)\": -0.746, \"(-8.56, -8.51)\": -0.771, \"(-8.51, -8.46)\": -0.796, \"(-8.46, -8.43)\": -0.826, \"(-8.43, -8.35)\": -0.851, \"(-8.35, -8.26)\": -0.898, \"(-8.26, -8.19)\": -0.922, \"(-8.19, -8.12)\": -0.947, \"(-8.12, -7.94)\": -0.975, \"(-7.94, -7.64)\": -0.998, \"(-7.64, -7.56)\": -0.974, \"(-7.56, -7.45)\": -0.949, \"(-7.45, -7.37)\": -0.908, \"(-7.37, -7.32)\": -0.88, \"(-7.32, -7.27)\": -0.855, \"(-7.27, -7.22)\": -0.829, \"(-7.22, -7.17)\": -0.797, \"(-7.17, -7.15)\": -0.773, \"(-7.15, -7.12)\": -0.753, \"(-7.12, -7.07)\": -0.73, \"(-7.07, -7.01)\": -0.689, \"(-7.01, -6.98)\": -0.658, \"(-6.98, -6.94)\": -0.63, \"(-6.94, -6.92)\": -0.606, \"(-6.92, -6.87)\": -0.584, \"(-6.87, -6.84)\": -0.546, \"(-6.84, -6.81)\": -0.522, \"(-6.81, -6.77)\": -0.487, \"(-6.77, -6.74)\": -0.458, \"(-6.74, -6.71)\": -0.425, \"(-6.71, -6.66)\": -0.404, \"(-6.66, -6.59)\": -0.333, \"(-6.59, -6.55)\": -0.281, \"(-6.55, -6.52)\": -0.249, \"(-6.52, -6.49)\": -0.22, \"(-6.49, -6.45)\": -0.187, \"(-6.45, -6.41)\": -0.146, \"(-6.41, -6.37)\": -0.107, \"(-6.37, -6.35)\": -0.08, \"(-6.35, -6.33)\": -0.057, \"(-6.33, -6.3)\": -0.035, \"(-6.3, -6.27)\": -0.009, \"(-6.27, -6.25)\": 0.016, \"(-6.25, -6.21)\": 0.046, \"(-6.21, -6.19)\": 0.07, \"(-6.19, -6.15)\": 0.108, \"(-6.15, -6.09)\": 0.156, \"(-6.09, -6.04)\": 0.218, \"(-6.04, -6.0)\": 0.257, \"(-6.0, -5.95)\": 0.296, \"(-5.95, -5.91)\": 0.345, \"(-5.91, -5.87)\": 0.385, \"(-5.87, -5.83)\": 0.414, \"(-5.83, -5.8)\": 0.45, \"(-5.8, -5.76)\": 0.47, \"(-5.76, -5.71)\": 0.523, \"(-5.71, -5.66)\": 0.562, \"(-5.66, -5.63)\": 0.587, \"(-5.63, -5.59)\": 0.622, \"(-5.59, -5.56)\": 0.646, \"(-5.56, -5.5)\": 0.671, \"(-5.5, -5.44)\": 0.727, \"(-5.44, -5.4)\": 0.752, \"(-5.4, -5.35)\": 0.778, \"(-5.35, -5.31)\": 0.807, \"(-5.31, -5.26)\": 0.83, \"(-5.26, -5.2)\": 0.866, \"(-5.2, -5.15)\": 0.886, \"(-5.15, -5.1)\": 0.908, \"(-5.1, -5.0)\": 0.939, \"(-5.0, -4.93)\": 0.961, \"(-4.93, -4.44)\": 0.982, \"(-4.44, -4.37)\": 0.961, \"(-4.37, -4.3)\": 0.937, \"(-4.3, -4.23)\": 0.906, \"(-4.23, -4.19)\": 0.881, \"(-4.19, -4.11)\": 0.859, \"(-4.11, -4.05)\": 0.811, \"(-4.05, -4.0)\": 0.788, \"(-4.0, -3.95)\": 0.737, \"(-3.95, -3.92)\": 0.714, \"(-3.92, -3.88)\": 0.692, \"(-3.88, -3.85)\": 0.671, \"(-3.85, -3.82)\": 0.644, \"(-3.82, -3.79)\": 0.616, \"(-3.79, -3.76)\": 0.596, \"(-3.76, -3.73)\": 0.575, \"(-3.73, -3.7)\": 0.546, \"(-3.7, -3.68)\": 0.526, \"(-3.68, -3.65)\": 0.504, \"(-3.65, -3.6)\": 0.466, \"(-3.6, -3.57)\": 0.435, \"(-3.57, -3.54)\": 0.406, \"(-3.54, -3.52)\": 0.384, \"(-3.52, -3.49)\": 0.362, \"(-3.49, -3.46)\": 0.338, \"(-3.46, -3.44)\": 0.317, \"(-3.44, -3.4)\": 0.29, \"(-3.4, -3.35)\": 0.226, \"(-3.35, -3.33)\": 0.206, \"(-3.33, -3.29)\": 0.179, \"(-3.29, -3.23)\": 0.117, \"(-3.23, -3.21)\": 0.085, \"(-3.21, -3.19)\": 0.058, \"(-3.19, -3.16)\": 0.035, \"(-3.16, -3.12)\": 0.014, \"(-3.12, -3.09)\": -0.036, \"(-3.09, -3.05)\": -0.062, \"(-3.05, -3.0)\": -0.091, \"(-3.0, -2.93)\": -0.187, \"(-2.93, -2.9)\": -0.222, \"(-2.9, -2.87)\": -0.253, \"(-2.87, -2.82)\": -0.275, \"(-2.82, -2.77)\": -0.345, \"(-2.77, -2.74)\": -0.367, \"(-2.74, -2.7)\": -0.409, \"(-2.7, -2.68)\": -0.431, \"(-2.68, -2.63)\": -0.47, \"(-2.63, -2.6)\": -0.5, \"(-2.6, -2.56)\": -0.524, \"(-2.56, -2.53)\": -0.554, \"(-2.53, -2.5)\": -0.575, \"(-2.5, -2.47)\": -0.605, \"(-2.47, -2.4)\": -0.639, \"(-2.4, -2.33)\": -0.703, \"(-2.33, -2.29)\": -0.734, \"(-2.29, -2.25)\": -0.757, \"(-2.25, -2.18)\": -0.799, \"(-2.18, -2.11)\": -0.84, \"(-2.11, -2.07)\": -0.861, \"(-2.07, -2.01)\": -0.888, \"(-2.01, -1.94)\": -0.912, \"(-1.94, -1.86)\": -0.936, \"(-1.86, -1.76)\": -0.964, \"(-1.76, -1.32)\": -0.985, \"(-1.32, -1.2)\": -0.956, \"(-1.2, -1.14)\": -0.922, \"(-1.14, -1.07)\": -0.901, \"(-1.07, -1.03)\": -0.875, \"(-1.03, -0.99)\": -0.85, \"(-0.99, -0.94)\": -0.819, \"(-0.94, -0.88)\": -0.791, \"(-0.88, -0.84)\": -0.766, \"(-0.84, -0.79)\": -0.725, \"(-0.79, -0.77)\": -0.704, \"(-0.77, -0.73)\": -0.679, \"(-0.73, -0.68)\": -0.654, \"(-0.68, -0.66)\": -0.628, \"(-0.66, -0.63)\": -0.607, \"(-0.63, -0.58)\": -0.57, \"(-0.58, -0.55)\": -0.542, \"(-0.55, -0.52)\": -0.511, \"(-0.52, -0.49)\": -0.489, \"(-0.49, -0.46)\": -0.469, \"(-0.46, -0.42)\": -0.43, \"(-0.42, -0.4)\": -0.406, \"(-0.4, -0.37)\": -0.376, \"(-0.37, -0.33)\": -0.349, \"(-0.33, -0.29)\": -0.308, \"(-0.29, -0.26)\": -0.284, \"(-0.26, -0.25)\": -0.261, \"(-0.25, -0.22)\": -0.235, \"(-0.22, -0.18)\": -0.207, \"(-0.18, -0.15)\": -0.175, \"(-0.15, -0.13)\": -0.14, \"(-0.13, -0.09)\": -0.116, \"(-0.09, -0.04)\": -0.072, \"(-0.04, 0.02)\": -0.015, \"(0.02, 0.06)\": 0.04, \"(0.06, 0.09)\": 0.075, \"(0.09, 0.12)\": 0.106, \"(0.12, 0.15)\": 0.136, \"(0.15, 0.19)\": 0.169, \"(0.19, 0.24)\": 0.2, \"(0.24, 0.29)\": 0.265, \"(0.29, 0.32)\": 0.29, \"(0.32, 0.35)\": 0.326, \"(0.35, 0.39)\": 0.349, \"(0.39, 0.44)\": 0.404, \"(0.44, 0.47)\": 0.432, \"(0.47, 0.49)\": 0.455, \"(0.49, 0.53)\": 0.478, \"(0.53, 0.56)\": 0.517, \"(0.56, 0.6)\": 0.553, \"(0.6, 0.63)\": 0.579, \"(0.63, 0.71)\": 0.6, \"(0.71, 0.8)\": 0.695, \"(0.8, 0.87)\": 0.734, \"(0.87, 0.93)\": 0.776, \"(0.93, 0.98)\": 0.812, \"(0.98, 1.03)\": 0.833, \"(1.03, 1.09)\": 0.861, \"(1.09, 1.14)\": 0.888, \"(1.14, 1.18)\": 0.911, \"(1.18, 1.26)\": 0.932, \"(1.26, 1.34)\": 0.953, \"(1.34, 1.48)\": 0.976, \"(1.48, 1.78)\": 0.996, \"(1.78, 1.85)\": 0.975, \"(1.85, 1.94)\": 0.952, \"(1.94, 1.99)\": 0.926, \"(1.99, 2.08)\": 0.904, \"(2.08, 2.15)\": 0.856, \"(2.15, 2.2)\": 0.835, \"(2.2, 2.24)\": 0.809, \"(2.24, 2.27)\": 0.778, \"(2.27, 2.33)\": 0.753, \"(2.33, 2.4)\": 0.707, \"(2.4, 2.45)\": 0.661, \"(2.45, 2.48)\": 0.626, \"(2.48, 2.53)\": 0.6, \"(2.53, 2.57)\": 0.553, \"(2.57, 2.6)\": 0.531, \"(2.6, 2.65)\": 0.503, \"(2.65, 2.69)\": 0.466, \"(2.69, 2.73)\": 0.418, \"(2.73, 2.76)\": 0.387, \"(2.76, 2.8)\": 0.363, \"(2.8, 2.84)\": 0.313, \"(2.84, 2.87)\": 0.29, \"(2.87, 2.89)\": 0.266, \"(2.89, 2.93)\": 0.232, \"(2.93, 2.95)\": 0.205, \"(2.95, 2.97)\": 0.185, \"(2.97, 2.99)\": 0.159, \"(2.99, 3.02)\": 0.134, \"(3.02, 3.05)\": 0.103, \"(3.05, 3.08)\": 0.077, \"(3.08, 3.1)\": 0.054, \"(3.1, 3.13)\": 0.026, \"(3.13, 3.17)\": -0.008, \"(3.17, 3.22)\": -0.056, \"(3.22, 3.26)\": -0.103, \"(3.26, 3.29)\": -0.124, \"(3.29, 3.32)\": -0.158, \"(3.32, 3.35)\": -0.196, \"(3.35, 3.38)\": -0.216, \"(3.38, 3.42)\": -0.236, \"(3.42, 3.46)\": -0.292, \"(3.46, 3.49)\": -0.326, \"(3.49, 3.52)\": -0.352, \"(3.52, 3.55)\": -0.381, \"(3.55, 3.59)\": -0.412, \"(3.59, 3.65)\": -0.464, \"(3.65, 3.71)\": -0.51, \"(3.71, 3.75)\": -0.555, \"(3.75, 3.79)\": -0.587, \"(3.79, 3.82)\": -0.613, \"(3.82, 3.86)\": -0.634, \"(3.86, 3.9)\": -0.662, \"(3.9, 3.95)\": -0.699, \"(3.95, 4.01)\": -0.728, \"(4.01, 4.09)\": -0.789, \"(4.09, 4.12)\": -0.818, \"(4.12, 4.19)\": -0.847, \"(4.19, 4.23)\": -0.869, \"(4.23, 4.3)\": -0.894, \"(4.3, 4.37)\": -0.92, \"(4.37, 4.49)\": -0.949, \"(4.49, 4.98)\": -0.983, \"(4.98, 5.08)\": -0.963, \"(5.08, 5.17)\": -0.917, \"(5.17, 5.22)\": -0.896, \"(5.22, 5.28)\": -0.866, \"(5.28, 5.33)\": -0.836, \"(5.33, 5.36)\": -0.813, \"(5.36, 5.4)\": -0.789, \"(5.4, 5.44)\": -0.768, \"(5.44, 5.5)\": -0.732, \"(5.5, 5.55)\": -0.696, \"(5.55, 5.62)\": -0.662, \"(5.62, 5.71)\": -0.565, \"(5.71, 5.76)\": -0.523, \"(5.76, 5.8)\": -0.479, \"(5.8, 5.83)\": -0.448, \"(5.83, 5.89)\": -0.425, \"(5.89, 5.96)\": -0.344, \"(5.96, 6.02)\": -0.294, \"(6.02, 6.06)\": -0.234, \"(6.06, 6.13)\": -0.204, \"(6.13, 6.19)\": -0.115, \"(6.19, 6.21)\": -0.091, \"(6.21, 6.23)\": -0.069, \"(6.23, 6.27)\": -0.035, \"(6.27, 6.31)\": 0.003, \"(6.31, 6.34)\": 0.035, \"(6.34, 6.39)\": 0.069, \"(6.39, 6.44)\": 0.135, \"(6.44, 6.48)\": 0.169, \"(6.48, 6.5)\": 0.204, \"(6.5, 6.52)\": 0.225, \"(6.52, 6.55)\": 0.248, \"(6.55, 6.59)\": 0.275, \"(6.59, 6.61)\": 0.301, \"(6.61, 6.66)\": 0.328, \"(6.66, 6.7)\": 0.383, \"(6.7, 6.74)\": 0.42, \"(6.74, 6.79)\": 0.461, \"(6.79, 6.83)\": 0.496, \"(6.83, 6.87)\": 0.534, \"(6.87, 6.91)\": 0.564, \"(6.91, 6.93)\": 0.587, \"(6.93, 6.97)\": 0.614, \"(6.97, 7.0)\": 0.642, \"(7.0, 7.03)\": 0.663, \"(7.03, 7.08)\": 0.687, \"(7.08, 7.13)\": 0.728, \"(7.13, 7.17)\": 0.756, \"(7.17, 7.2)\": 0.78, \"(7.2, 7.25)\": 0.802, \"(7.25, 7.28)\": 0.823, \"(7.28, 7.33)\": 0.847, \"(7.33, 7.44)\": 0.89, \"(7.44, 7.53)\": 0.933, \"(7.53, 7.62)\": 0.954, \"(7.62, 7.76)\": 0.975, \"(7.76, 8.07)\": 0.996, \"(8.07, 8.18)\": 0.975, \"(8.18, 8.25)\": 0.94, \"(8.25, 8.29)\": 0.919, \"(8.29, 8.36)\": 0.897, \"(8.36, 8.4)\": 0.875, \"(8.4, 8.46)\": 0.855, \"(8.46, 8.5)\": 0.811, \"(8.5, 8.57)\": 0.786, \"(8.57, 8.63)\": 0.75, \"(8.63, 8.66)\": 0.703, \"(8.66, 8.7)\": 0.681, \"(8.7, 8.74)\": 0.648, \"(8.74, 8.79)\": 0.627, \"(8.79, 8.84)\": 0.579, \"(8.84, 8.87)\": 0.547, \"(8.87, 8.9)\": 0.525, \"(8.9, 8.93)\": 0.497, \"(8.93, 8.96)\": 0.465, \"(8.96, 8.99)\": 0.441, \"(8.99, 9.04)\": 0.406, \"(9.04, 9.08)\": 0.362, \"(9.08, 9.12)\": 0.318, \"(9.12, 9.15)\": 0.29, \"(9.15, 9.2)\": 0.264, \"(9.2, 9.25)\": 0.195, \"(9.25, 9.28)\": 0.159, \"(9.28, 9.34)\": 0.123, \"(9.34, 9.39)\": 0.056, \"(9.39, 9.41)\": 0.029, \"(9.41, 9.46)\": -0.004, \"(9.46, 9.51)\": -0.065, \"(9.51, 9.52)\": -0.086, \"(9.52, 9.55)\": -0.107, \"(9.55, 9.6)\": -0.143, \"(9.6, 9.65)\": -0.192, \"(9.65, 9.69)\": -0.24, \"(9.69, 9.72)\": -0.271, \"(9.72, 9.75)\": -0.293, \"(9.75, 9.76)\": -0.322, \"(9.76, 9.81)\": -0.344, \"(9.81, 9.85)\": -0.397, \"(9.85, 9.89)\": -0.418, \"(9.89, 9.94)\": -0.475, \"(9.94, 9.96)\": -0.496, \"(9.96, 10.0)\": -0.517}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.96, -9.66)\": 1.0, \"(-9.66, -9.56)\": 1.022, \"(-9.56, -9.48)\": 1.047, \"(-9.48, -9.42)\": 1.068, \"(-9.42, -9.34)\": 1.108, \"(-9.34, -9.29)\": 1.129, \"(-9.29, -9.23)\": 1.167, \"(-9.23, -9.19)\": 1.19, \"(-9.19, -9.14)\": 1.225, \"(-9.14, -9.09)\": 1.256, \"(-9.09, -9.04)\": 1.299, \"(-9.04, -8.99)\": 1.329, \"(-8.99, -8.97)\": 1.352, \"(-8.97, -8.93)\": 1.386, \"(-8.93, -8.9)\": 1.408, \"(-8.9, -8.86)\": 1.434, \"(-8.86, -8.83)\": 1.458, \"(-8.83, -8.8)\": 1.483, \"(-8.8, -8.78)\": 1.507, \"(-8.78, -8.76)\": 1.528, \"(-8.76, -8.73)\": 1.554, \"(-8.73, -8.69)\": 1.584, \"(-8.69, -8.67)\": 1.606, \"(-8.67, -8.63)\": 1.636, \"(-8.63, -8.6)\": 1.663, \"(-8.6, -8.58)\": 1.693, \"(-8.58, -8.55)\": 1.715, \"(-8.55, -8.52)\": 1.739, \"(-8.52, -8.47)\": 1.791, \"(-8.47, -8.44)\": 1.828, \"(-8.44, -8.42)\": 1.849, \"(-8.42, -8.4)\": 1.876, \"(-8.4, -8.36)\": 1.9, \"(-8.36, -8.34)\": 1.933, \"(-8.34, -8.32)\": 1.954, \"(-8.32, -8.25)\": 1.985, \"(-8.25, -8.19)\": 2.072, \"(-8.19, -8.17)\": 2.105, \"(-8.17, -8.13)\": 2.129, \"(-8.13, -8.03)\": 2.19, \"(-8.03, -7.96)\": 2.298, \"(-7.96, -7.91)\": 2.332, \"(-7.91, -7.86)\": 2.386, \"(-7.86, -7.83)\": 2.415, \"(-7.83, -7.8)\": 2.443, \"(-7.8, -7.77)\": 2.471, \"(-7.77, -7.73)\": 2.509, \"(-7.73, -7.69)\": 2.535, \"(-7.69, -7.66)\": 2.573, \"(-7.66, -7.57)\": 2.609, \"(-7.57, -7.46)\": 2.708, \"(-7.46, -7.41)\": 2.752, \"(-7.41, -7.38)\": 2.774, \"(-7.38, -7.33)\": 2.797, \"(-7.33, -7.3)\": 2.821, \"(-7.3, -7.24)\": 2.843, \"(-7.24, -7.19)\": 2.873, \"(-7.19, -7.1)\": 2.9, \"(-7.1, -7.02)\": 2.934, \"(-7.02, -6.92)\": 2.955, \"(-6.92, -6.77)\": 2.977, \"(-6.77, -6.49)\": 2.998, \"(-6.49, -6.4)\": 2.971, \"(-6.4, -6.34)\": 2.951, \"(-6.34, -6.27)\": 2.924, \"(-6.27, -6.21)\": 2.903, \"(-6.21, -6.15)\": 2.863, \"(-6.15, -6.1)\": 2.843, \"(-6.1, -6.06)\": 2.814, \"(-6.06, -6.01)\": 2.788, \"(-6.01, -5.95)\": 2.743, \"(-5.95, -5.91)\": 2.72, \"(-5.91, -5.88)\": 2.688, \"(-5.88, -5.84)\": 2.666, \"(-5.84, -5.82)\": 2.643, \"(-5.82, -5.79)\": 2.621, \"(-5.79, -5.77)\": 2.6, \"(-5.77, -5.74)\": 2.575, \"(-5.74, -5.7)\": 2.551, \"(-5.7, -5.66)\": 2.516, \"(-5.66, -5.62)\": 2.483, \"(-5.62, -5.59)\": 2.45, \"(-5.59, -5.56)\": 2.428, \"(-5.56, -5.48)\": 2.406, \"(-5.48, -5.4)\": 2.275, \"(-5.4, -5.36)\": 2.234, \"(-5.36, -5.33)\": 2.205, \"(-5.33, -5.29)\": 2.169, \"(-5.29, -5.27)\": 2.145, \"(-5.27, -5.2)\": 2.115, \"(-5.2, -5.12)\": 1.993, \"(-5.12, -5.09)\": 1.97, \"(-5.09, -5.05)\": 1.926, \"(-5.05, -5.02)\": 1.899, \"(-5.02, -4.99)\": 1.872, \"(-4.99, -4.96)\": 1.832, \"(-4.96, -4.92)\": 1.803, \"(-4.92, -4.86)\": 1.76, \"(-4.86, -4.84)\": 1.715, \"(-4.84, -4.81)\": 1.69, \"(-4.81, -4.79)\": 1.667, \"(-4.79, -4.77)\": 1.647, \"(-4.77, -4.71)\": 1.625, \"(-4.71, -4.64)\": 1.538, \"(-4.64, -4.59)\": 1.501, \"(-4.59, -4.56)\": 1.475, \"(-4.56, -4.53)\": 1.443, \"(-4.53, -4.48)\": 1.417, \"(-4.48, -4.44)\": 1.371, \"(-4.44, -4.42)\": 1.342, \"(-4.42, -4.36)\": 1.319, \"(-4.36, -4.31)\": 1.279, \"(-4.31, -4.27)\": 1.257, \"(-4.27, -4.23)\": 1.232, \"(-4.23, -4.17)\": 1.201, \"(-4.17, -4.12)\": 1.168, \"(-4.12, -4.06)\": 1.146, \"(-4.06, -3.98)\": 1.102, \"(-3.98, -3.91)\": 1.08, \"(-3.91, -3.83)\": 1.052, \"(-3.83, -3.73)\": 1.032, \"(-3.73, -3.32)\": 1.01, \"(-3.32, -3.22)\": 1.043, \"(-3.22, -3.17)\": 1.07, \"(-3.17, -3.08)\": 1.097, \"(-3.08, -3.02)\": 1.125, \"(-3.02, -2.97)\": 1.149, \"(-2.97, -2.9)\": 1.2, \"(-2.9, -2.85)\": 1.221, \"(-2.85, -2.82)\": 1.258, \"(-2.82, -2.79)\": 1.28, \"(-2.79, -2.69)\": 1.302, \"(-2.69, -2.61)\": 1.407, \"(-2.61, -2.58)\": 1.433, \"(-2.58, -2.54)\": 1.462, \"(-2.54, -2.52)\": 1.494, \"(-2.52, -2.48)\": 1.515, \"(-2.48, -2.45)\": 1.54, \"(-2.45, -2.39)\": 1.581, \"(-2.39, -2.34)\": 1.635, \"(-2.34, -2.3)\": 1.682, \"(-2.3, -2.28)\": 1.717, \"(-2.28, -2.24)\": 1.737, \"(-2.24, -2.2)\": 1.771, \"(-2.2, -2.17)\": 1.816, \"(-2.17, -2.14)\": 1.84, \"(-2.14, -2.11)\": 1.869, \"(-2.11, -2.07)\": 1.907, \"(-2.07, -2.03)\": 1.951, \"(-2.03, -1.99)\": 1.979, \"(-1.99, -1.95)\": 2.021, \"(-1.95, -1.9)\": 2.081, \"(-1.9, -1.87)\": 2.105, \"(-1.87, -1.83)\": 2.137, \"(-1.83, -1.8)\": 2.184, \"(-1.8, -1.73)\": 2.213, \"(-1.73, -1.69)\": 2.298, \"(-1.69, -1.65)\": 2.32, \"(-1.65, -1.59)\": 2.374, \"(-1.59, -1.51)\": 2.411, \"(-1.51, -1.45)\": 2.499, \"(-1.45, -1.42)\": 2.53, \"(-1.42, -1.39)\": 2.558, \"(-1.39, -1.33)\": 2.591, \"(-1.33, -1.3)\": 2.626, \"(-1.3, -1.26)\": 2.653, \"(-1.26, -1.22)\": 2.678, \"(-1.22, -1.18)\": 2.707, \"(-1.18, -1.14)\": 2.74, \"(-1.14, -1.09)\": 2.764, \"(-1.09, -1.06)\": 2.792, \"(-1.06, -1.02)\": 2.82, \"(-1.02, -0.97)\": 2.841, \"(-0.97, -0.92)\": 2.867, \"(-0.92, -0.85)\": 2.888, \"(-0.85, -0.78)\": 2.92, \"(-0.78, -0.68)\": 2.944, \"(-0.68, -0.51)\": 2.976, \"(-0.51, -0.23)\": 2.997, \"(-0.23, -0.11)\": 2.968, \"(-0.11, -0.03)\": 2.942, \"(-0.03, 0.02)\": 2.912, \"(0.02, 0.07)\": 2.891, \"(0.07, 0.14)\": 2.868, \"(0.14, 0.19)\": 2.84, \"(0.19, 0.23)\": 2.808, \"(0.23, 0.28)\": 2.782, \"(0.28, 0.34)\": 2.754, \"(0.34, 0.39)\": 2.701, \"(0.39, 0.42)\": 2.681, \"(0.42, 0.45)\": 2.66, \"(0.45, 0.5)\": 2.633, \"(0.5, 0.56)\": 2.583, \"(0.56, 0.59)\": 2.541, \"(0.59, 0.63)\": 2.511, \"(0.63, 0.66)\": 2.483, \"(0.66, 0.69)\": 2.456, \"(0.69, 0.73)\": 2.43, \"(0.73, 0.77)\": 2.38, \"(0.77, 0.78)\": 2.36, \"(0.78, 0.82)\": 2.339, \"(0.82, 0.86)\": 2.297, \"(0.86, 0.9)\": 2.263, \"(0.9, 0.94)\": 2.222, \"(0.94, 0.96)\": 2.19, \"(0.96, 0.99)\": 2.166, \"(0.99, 1.03)\": 2.143, \"(1.03, 1.09)\": 2.075, \"(1.09, 1.12)\": 2.046, \"(1.12, 1.14)\": 2.015, \"(1.14, 1.2)\": 1.989, \"(1.2, 1.26)\": 1.903, \"(1.26, 1.29)\": 1.871, \"(1.29, 1.3)\": 1.85, \"(1.3, 1.37)\": 1.822, \"(1.37, 1.43)\": 1.744, \"(1.43, 1.46)\": 1.705, \"(1.46, 1.49)\": 1.683, \"(1.49, 1.54)\": 1.653, \"(1.54, 1.57)\": 1.597, \"(1.57, 1.61)\": 1.573, \"(1.61, 1.62)\": 1.548, \"(1.62, 1.66)\": 1.526, \"(1.66, 1.69)\": 1.5, \"(1.69, 1.71)\": 1.476, \"(1.71, 1.76)\": 1.454, \"(1.76, 1.81)\": 1.401, \"(1.81, 1.84)\": 1.376, \"(1.84, 1.87)\": 1.352, \"(1.87, 1.92)\": 1.325, \"(1.92, 1.96)\": 1.291, \"(1.96, 2.01)\": 1.262, \"(2.01, 2.05)\": 1.233, \"(2.05, 2.08)\": 1.211, \"(2.08, 2.12)\": 1.186, \"(2.12, 2.18)\": 1.164, \"(2.18, 2.25)\": 1.125, \"(2.25, 2.33)\": 1.1, \"(2.33, 2.41)\": 1.07, \"(2.41, 2.52)\": 1.041, \"(2.52, 2.99)\": 1.017, \"(2.99, 3.07)\": 1.046, \"(3.07, 3.13)\": 1.068, \"(3.13, 3.19)\": 1.09, \"(3.19, 3.24)\": 1.113, \"(3.24, 3.28)\": 1.138, \"(3.28, 3.32)\": 1.164, \"(3.32, 3.41)\": 1.201, \"(3.41, 3.46)\": 1.251, \"(3.46, 3.49)\": 1.282, \"(3.49, 3.55)\": 1.302, \"(3.55, 3.62)\": 1.365, \"(3.62, 3.66)\": 1.397, \"(3.66, 3.68)\": 1.42, \"(3.68, 3.74)\": 1.441, \"(3.74, 3.8)\": 1.504, \"(3.8, 3.84)\": 1.553, \"(3.84, 3.87)\": 1.574, \"(3.87, 3.9)\": 1.609, \"(3.9, 3.93)\": 1.635, \"(3.93, 3.97)\": 1.67, \"(3.97, 4.01)\": 1.702, \"(4.01, 4.04)\": 1.739, \"(4.04, 4.07)\": 1.771, \"(4.07, 4.1)\": 1.794, \"(4.1, 4.12)\": 1.825, \"(4.12, 4.16)\": 1.855, \"(4.16, 4.2)\": 1.892, \"(4.2, 4.23)\": 1.934, \"(4.23, 4.26)\": 1.957, \"(4.26, 4.3)\": 1.99, \"(4.3, 4.36)\": 2.031, \"(4.36, 4.4)\": 2.101, \"(4.4, 4.45)\": 2.135, \"(4.45, 4.49)\": 2.176, \"(4.49, 4.51)\": 2.208, \"(4.51, 4.57)\": 2.234, \"(4.57, 4.63)\": 2.322, \"(4.63, 4.65)\": 2.351, \"(4.65, 4.71)\": 2.373, \"(4.71, 4.78)\": 2.456, \"(4.78, 4.81)\": 2.482, \"(4.81, 4.84)\": 2.512, \"(4.84, 4.87)\": 2.536, \"(4.87, 4.92)\": 2.557, \"(4.92, 4.98)\": 2.62, \"(4.98, 5.01)\": 2.645, \"(5.01, 5.05)\": 2.674, \"(5.05, 5.07)\": 2.695, \"(5.07, 5.14)\": 2.718, \"(5.14, 5.2)\": 2.779, \"(5.2, 5.25)\": 2.8, \"(5.25, 5.3)\": 2.837, \"(5.3, 5.35)\": 2.858, \"(5.35, 5.41)\": 2.879, \"(5.41, 5.48)\": 2.911, \"(5.48, 5.58)\": 2.939, \"(5.58, 5.69)\": 2.967, \"(5.69, 6.1)\": 2.989, \"(6.1, 6.18)\": 2.964, \"(6.18, 6.27)\": 2.936, \"(6.27, 6.32)\": 2.912, \"(6.32, 6.38)\": 2.884, \"(6.38, 6.45)\": 2.848, \"(6.45, 6.53)\": 2.806, \"(6.53, 6.56)\": 2.777, \"(6.56, 6.6)\": 2.754, \"(6.6, 6.63)\": 2.73, \"(6.63, 6.68)\": 2.691, \"(6.68, 6.72)\": 2.668, \"(6.72, 6.74)\": 2.644, \"(6.74, 6.79)\": 2.619, \"(6.79, 6.82)\": 2.587, \"(6.82, 6.84)\": 2.564, \"(6.84, 6.89)\": 2.535, \"(6.89, 6.91)\": 2.509, \"(6.91, 6.94)\": 2.481, \"(6.94, 6.98)\": 2.46, \"(6.98, 7.02)\": 2.417, \"(7.02, 7.05)\": 2.388, \"(7.05, 7.09)\": 2.358, \"(7.09, 7.12)\": 2.317, \"(7.12, 7.15)\": 2.293, \"(7.15, 7.18)\": 2.264, \"(7.18, 7.2)\": 2.233, \"(7.2, 7.23)\": 2.209, \"(7.23, 7.26)\": 2.187, \"(7.26, 7.27)\": 2.164, \"(7.27, 7.31)\": 2.141, \"(7.31, 7.34)\": 2.101, \"(7.34, 7.36)\": 2.072, \"(7.36, 7.4)\": 2.047, \"(7.4, 7.43)\": 2.015, \"(7.43, 7.47)\": 1.969, \"(7.47, 7.51)\": 1.938, \"(7.51, 7.54)\": 1.913, \"(7.54, 7.56)\": 1.879, \"(7.56, 7.6)\": 1.853, \"(7.6, 7.63)\": 1.818, \"(7.63, 7.66)\": 1.789, \"(7.66, 7.7)\": 1.748, \"(7.7, 7.74)\": 1.719, \"(7.74, 7.77)\": 1.675, \"(7.77, 7.82)\": 1.645, \"(7.82, 7.85)\": 1.608, \"(7.85, 7.89)\": 1.577, \"(7.89, 7.92)\": 1.543, \"(7.92, 7.93)\": 1.522, \"(7.93, 7.98)\": 1.5, \"(7.98, 8.05)\": 1.442, \"(8.05, 8.08)\": 1.401, \"(8.08, 8.16)\": 1.369, \"(8.16, 8.21)\": 1.313, \"(8.21, 8.27)\": 1.29, \"(8.27, 8.34)\": 1.223, \"(8.34, 8.38)\": 1.202, \"(8.38, 8.43)\": 1.175, \"(8.43, 8.48)\": 1.152, \"(8.48, 8.52)\": 1.128, \"(8.52, 8.57)\": 1.107, \"(8.57, 8.63)\": 1.086, \"(8.63, 8.68)\": 1.064, \"(8.68, 8.75)\": 1.043, \"(8.75, 8.94)\": 1.022, \"(8.94, 9.21)\": 1.002, \"(9.21, 9.29)\": 1.024, \"(9.29, 9.36)\": 1.049, \"(9.36, 9.41)\": 1.071, \"(9.41, 9.48)\": 1.094, \"(9.48, 9.53)\": 1.123, \"(9.53, 9.57)\": 1.15, \"(9.57, 9.61)\": 1.171, \"(9.61, 9.65)\": 1.192, \"(9.65, 9.7)\": 1.216, \"(9.7, 9.75)\": 1.247, \"(9.75, 9.79)\": 1.28, \"(9.79, 9.82)\": 1.306, \"(9.82, 9.86)\": 1.332, \"(9.86, 9.92)\": 1.362, \"(9.92, 9.96)\": 1.412, \"(9.96, 9.99)\": 1.442}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.95)\": -0.847, \"(-9.95, -9.88)\": -0.876, \"(-9.88, -9.82)\": -0.9, \"(-9.82, -9.76)\": -0.93, \"(-9.76, -9.66)\": -0.951, \"(-9.66, -9.53)\": -0.975, \"(-9.53, -9.21)\": -0.995, \"(-9.21, -9.12)\": -0.975, \"(-9.12, -9.06)\": -0.951, \"(-9.06, -8.99)\": -0.924, \"(-8.99, -8.92)\": -0.898, \"(-8.92, -8.84)\": -0.864, \"(-8.84, -8.79)\": -0.826, \"(-8.79, -8.75)\": -0.804, \"(-8.75, -8.68)\": -0.762, \"(-8.68, -8.61)\": -0.715, \"(-8.61, -8.55)\": -0.662, \"(-8.55, -8.52)\": -0.637, \"(-8.52, -8.48)\": -0.61, \"(-8.48, -8.46)\": -0.58, \"(-8.46, -8.42)\": -0.556, \"(-8.42, -8.36)\": -0.527, \"(-8.36, -8.31)\": -0.463, \"(-8.31, -8.27)\": -0.429, \"(-8.27, -8.23)\": -0.381, \"(-8.23, -8.2)\": -0.352, \"(-8.2, -8.17)\": -0.331, \"(-8.17, -8.12)\": -0.297, \"(-8.12, -8.08)\": -0.243, \"(-8.08, -8.05)\": -0.212, \"(-8.05, -8.01)\": -0.178, \"(-8.01, -8.0)\": -0.156, \"(-8.0, -7.97)\": -0.131, \"(-7.97, -7.92)\": -0.105, \"(-7.92, -7.88)\": -0.045, \"(-7.88, -7.86)\": -0.018, \"(-7.86, -7.8)\": 0.013, \"(-7.8, -7.75)\": 0.068, \"(-7.75, -7.71)\": 0.13, \"(-7.71, -7.68)\": 0.152, \"(-7.68, -7.65)\": 0.179, \"(-7.65, -7.61)\": 0.222, \"(-7.61, -7.57)\": 0.264, \"(-7.57, -7.53)\": 0.297, \"(-7.53, -7.5)\": 0.328, \"(-7.5, -7.47)\": 0.352, \"(-7.47, -7.44)\": 0.391, \"(-7.44, -7.39)\": 0.414, \"(-7.39, -7.37)\": 0.448, \"(-7.37, -7.34)\": 0.469, \"(-7.34, -7.32)\": 0.496, \"(-7.32, -7.26)\": 0.526, \"(-7.26, -7.19)\": 0.58, \"(-7.19, -7.14)\": 0.635, \"(-7.14, -7.1)\": 0.663, \"(-7.1, -7.03)\": 0.703, \"(-7.03, -6.96)\": 0.757, \"(-6.96, -6.92)\": 0.781, \"(-6.92, -6.87)\": 0.813, \"(-6.87, -6.83)\": 0.835, \"(-6.83, -6.78)\": 0.858, \"(-6.78, -6.74)\": 0.88, \"(-6.74, -6.67)\": 0.905, \"(-6.67, -6.62)\": 0.925, \"(-6.62, -6.54)\": 0.947, \"(-6.54, -6.42)\": 0.969, \"(-6.42, -6.04)\": 0.991, \"(-6.04, -5.96)\": 0.97, \"(-5.96, -5.9)\": 0.947, \"(-5.9, -5.84)\": 0.923, \"(-5.84, -5.79)\": 0.902, \"(-5.79, -5.74)\": 0.871, \"(-5.74, -5.68)\": 0.846, \"(-5.68, -5.63)\": 0.821, \"(-5.63, -5.57)\": 0.787, \"(-5.57, -5.52)\": 0.736, \"(-5.52, -5.47)\": 0.707, \"(-5.47, -5.42)\": 0.676, \"(-5.42, -5.38)\": 0.645, \"(-5.38, -5.35)\": 0.609, \"(-5.35, -5.31)\": 0.585, \"(-5.31, -5.25)\": 0.551, \"(-5.25, -5.22)\": 0.502, \"(-5.22, -5.19)\": 0.48, \"(-5.19, -5.17)\": 0.458, \"(-5.17, -5.14)\": 0.433, \"(-5.14, -5.12)\": 0.41, \"(-5.12, -5.09)\": 0.388, \"(-5.09, -5.06)\": 0.362, \"(-5.06, -5.01)\": 0.325, \"(-5.01, -4.97)\": 0.266, \"(-4.97, -4.94)\": 0.245, \"(-4.94, -4.91)\": 0.219, \"(-4.91, -4.87)\": 0.176, \"(-4.87, -4.83)\": 0.137, \"(-4.83, -4.8)\": 0.106, \"(-4.8, -4.78)\": 0.08, \"(-4.78, -4.73)\": 0.051, \"(-4.73, -4.66)\": -0.018, \"(-4.66, -4.62)\": -0.071, \"(-4.62, -4.6)\": -0.097, \"(-4.6, -4.58)\": -0.121, \"(-4.58, -4.56)\": -0.142, \"(-4.56, -4.53)\": -0.171, \"(-4.53, -4.49)\": -0.198, \"(-4.49, -4.46)\": -0.238, \"(-4.46, -4.42)\": -0.262, \"(-4.42, -4.4)\": -0.298, \"(-4.4, -4.36)\": -0.325, \"(-4.36, -4.31)\": -0.363, \"(-4.31, -4.28)\": -0.404, \"(-4.28, -4.24)\": -0.431, \"(-4.24, -4.2)\": -0.47, \"(-4.2, -4.17)\": -0.496, \"(-4.17, -4.13)\": -0.534, \"(-4.13, -4.11)\": -0.555, \"(-4.11, -4.07)\": -0.587, \"(-4.07, -4.04)\": -0.608, \"(-4.04, -4.01)\": -0.636, \"(-4.01, -3.96)\": -0.66, \"(-3.96, -3.91)\": -0.683, \"(-3.91, -3.85)\": -0.733, \"(-3.85, -3.82)\": -0.766, \"(-3.82, -3.77)\": -0.789, \"(-3.77, -3.74)\": -0.815, \"(-3.74, -3.65)\": -0.836, \"(-3.65, -3.57)\": -0.894, \"(-3.57, -3.5)\": -0.917, \"(-3.5, -3.44)\": -0.938, \"(-3.44, -3.34)\": -0.959, \"(-3.34, -2.85)\": -0.981, \"(-2.85, -2.76)\": -0.948, \"(-2.76, -2.69)\": -0.921, \"(-2.69, -2.64)\": -0.896, \"(-2.64, -2.58)\": -0.872, \"(-2.58, -2.53)\": -0.831, \"(-2.53, -2.48)\": -0.807, \"(-2.48, -2.45)\": -0.787, \"(-2.45, -2.41)\": -0.757, \"(-2.41, -2.37)\": -0.736, \"(-2.37, -2.33)\": -0.712, \"(-2.33, -2.29)\": -0.673, \"(-2.29, -2.25)\": -0.649, \"(-2.25, -2.2)\": -0.608, \"(-2.2, -2.13)\": -0.56, \"(-2.13, -2.08)\": -0.514, \"(-2.08, -2.03)\": -0.468, \"(-2.03, -1.98)\": -0.424, \"(-1.98, -1.96)\": -0.395, \"(-1.96, -1.94)\": -0.375, \"(-1.94, -1.91)\": -0.355, \"(-1.91, -1.87)\": -0.318, \"(-1.87, -1.82)\": -0.28, \"(-1.82, -1.77)\": -0.23, \"(-1.77, -1.73)\": -0.188, \"(-1.73, -1.7)\": -0.149, \"(-1.7, -1.66)\": -0.113, \"(-1.66, -1.62)\": -0.071, \"(-1.62, -1.6)\": -0.033, \"(-1.6, -1.55)\": -0.006, \"(-1.55, -1.5)\": 0.056, \"(-1.5, -1.48)\": 0.083, \"(-1.48, -1.45)\": 0.104, \"(-1.45, -1.41)\": 0.134, \"(-1.41, -1.39)\": 0.167, \"(-1.39, -1.36)\": 0.194, \"(-1.36, -1.34)\": 0.215, \"(-1.34, -1.31)\": 0.236, \"(-1.31, -1.29)\": 0.266, \"(-1.29, -1.27)\": 0.287, \"(-1.27, -1.23)\": 0.31, \"(-1.23, -1.19)\": 0.35, \"(-1.19, -1.15)\": 0.387, \"(-1.15, -1.11)\": 0.428, \"(-1.11, -1.07)\": 0.459, \"(-1.07, -1.03)\": 0.494, \"(-1.03, -1.0)\": 0.517, \"(-1.0, -0.97)\": 0.548, \"(-0.97, -0.94)\": 0.569, \"(-0.94, -0.91)\": 0.593, \"(-0.91, -0.87)\": 0.617, \"(-0.87, -0.81)\": 0.65, \"(-0.81, -0.76)\": 0.706, \"(-0.76, -0.72)\": 0.728, \"(-0.72, -0.69)\": 0.763, \"(-0.69, -0.64)\": 0.785, \"(-0.64, -0.57)\": 0.816, \"(-0.57, -0.53)\": 0.844, \"(-0.53, -0.45)\": 0.878, \"(-0.45, -0.38)\": 0.902, \"(-0.38, -0.29)\": 0.937, \"(-0.29, -0.21)\": 0.961, \"(-0.21, 0.27)\": 0.984, \"(0.27, 0.35)\": 0.961, \"(0.35, 0.41)\": 0.938, \"(0.41, 0.47)\": 0.915, \"(0.47, 0.57)\": 0.886, \"(0.57, 0.67)\": 0.801, \"(0.67, 0.73)\": 0.766, \"(0.73, 0.77)\": 0.738, \"(0.77, 0.83)\": 0.697, \"(0.83, 0.86)\": 0.675, \"(0.86, 0.9)\": 0.65, \"(0.9, 0.94)\": 0.605, \"(0.94, 0.98)\": 0.583, \"(0.98, 1.01)\": 0.552, \"(1.01, 1.03)\": 0.526, \"(1.03, 1.06)\": 0.504, \"(1.06, 1.07)\": 0.483, \"(1.07, 1.13)\": 0.46, \"(1.13, 1.2)\": 0.384, \"(1.2, 1.24)\": 0.353, \"(1.24, 1.28)\": 0.304, \"(1.28, 1.32)\": 0.274, \"(1.32, 1.37)\": 0.237, \"(1.37, 1.41)\": 0.171, \"(1.41, 1.44)\": 0.147, \"(1.44, 1.47)\": 0.117, \"(1.47, 1.5)\": 0.095, \"(1.5, 1.52)\": 0.065, \"(1.52, 1.56)\": 0.041, \"(1.56, 1.6)\": -0.001, \"(1.6, 1.64)\": -0.047, \"(1.64, 1.67)\": -0.073, \"(1.67, 1.69)\": -0.11, \"(1.69, 1.72)\": -0.131, \"(1.72, 1.76)\": -0.161, \"(1.76, 1.8)\": -0.203, \"(1.8, 1.83)\": -0.232, \"(1.83, 1.86)\": -0.26, \"(1.86, 1.9)\": -0.308, \"(1.9, 1.94)\": -0.332, \"(1.94, 1.98)\": -0.371, \"(1.98, 2.01)\": -0.403, \"(2.01, 2.04)\": -0.427, \"(2.04, 2.06)\": -0.457, \"(2.06, 2.09)\": -0.477, \"(2.09, 2.12)\": -0.504, \"(2.12, 2.15)\": -0.527, \"(2.15, 2.19)\": -0.557, \"(2.19, 2.22)\": -0.588, \"(2.22, 2.26)\": -0.618, \"(2.26, 2.3)\": -0.648, \"(2.3, 2.36)\": -0.675, \"(2.36, 2.42)\": -0.727, \"(2.42, 2.46)\": -0.752, \"(2.46, 2.49)\": -0.787, \"(2.49, 2.54)\": -0.809, \"(2.54, 2.61)\": -0.839, \"(2.61, 2.64)\": -0.865, \"(2.64, 2.72)\": -0.887, \"(2.72, 2.8)\": -0.922, \"(2.8, 2.91)\": -0.951, \"(2.91, 3.03)\": -0.974, \"(3.03, 3.37)\": -0.994, \"(3.37, 3.47)\": -0.974, \"(3.47, 3.54)\": -0.934, \"(3.54, 3.64)\": -0.913, \"(3.64, 3.7)\": -0.865, \"(3.7, 3.75)\": -0.844, \"(3.75, 3.79)\": -0.819, \"(3.79, 3.83)\": -0.79, \"(3.83, 3.87)\": -0.759, \"(3.87, 3.92)\": -0.729, \"(3.92, 3.98)\": -0.693, \"(3.98, 4.01)\": -0.665, \"(4.01, 4.04)\": -0.642, \"(4.04, 4.08)\": -0.611, \"(4.08, 4.11)\": -0.588, \"(4.11, 4.13)\": -0.558, \"(4.13, 4.18)\": -0.531, \"(4.18, 4.24)\": -0.471, \"(4.24, 4.27)\": -0.446, \"(4.27, 4.3)\": -0.414, \"(4.3, 4.33)\": -0.388, \"(4.33, 4.36)\": -0.364, \"(4.36, 4.39)\": -0.337, \"(4.39, 4.42)\": -0.308, \"(4.42, 4.45)\": -0.284, \"(4.45, 4.46)\": -0.257, \"(4.46, 4.5)\": -0.235, \"(4.5, 4.56)\": -0.211, \"(4.56, 4.65)\": -0.1, \"(4.65, 4.69)\": -0.039, \"(4.69, 4.71)\": -0.017, \"(4.71, 4.73)\": 0.012, \"(4.73, 4.77)\": 0.034, \"(4.77, 4.8)\": 0.074, \"(4.8, 4.84)\": 0.101, \"(4.84, 4.86)\": 0.131, \"(4.86, 4.88)\": 0.159, \"(4.88, 4.92)\": 0.183, \"(4.92, 4.95)\": 0.208, \"(4.95, 5.0)\": 0.246, \"(5.0, 5.05)\": 0.306, \"(5.05, 5.09)\": 0.35, \"(5.09, 5.13)\": 0.386, \"(5.13, 5.17)\": 0.415, \"(5.17, 5.21)\": 0.446, \"(5.21, 5.24)\": 0.486, \"(5.24, 5.27)\": 0.51, \"(5.27, 5.3)\": 0.534, \"(5.3, 5.32)\": 0.554, \"(5.32, 5.36)\": 0.577, \"(5.36, 5.41)\": 0.62, \"(5.41, 5.45)\": 0.647, \"(5.45, 5.5)\": 0.692, \"(5.5, 5.56)\": 0.716, \"(5.56, 5.65)\": 0.766, \"(5.65, 5.72)\": 0.823, \"(5.72, 5.78)\": 0.856, \"(5.78, 5.87)\": 0.884, \"(5.87, 5.95)\": 0.929, \"(5.95, 6.04)\": 0.95, \"(6.04, 6.17)\": 0.971, \"(6.17, 6.5)\": 0.995, \"(6.5, 6.59)\": 0.974, \"(6.59, 6.66)\": 0.946, \"(6.66, 6.74)\": 0.909, \"(6.74, 6.81)\": 0.888, \"(6.81, 6.85)\": 0.863, \"(6.85, 6.89)\": 0.836, \"(6.89, 6.94)\": 0.809, \"(6.94, 6.98)\": 0.787, \"(6.98, 7.01)\": 0.76, \"(7.01, 7.05)\": 0.734, \"(7.05, 7.13)\": 0.7, \"(7.13, 7.2)\": 0.63, \"(7.2, 7.23)\": 0.606, \"(7.23, 7.26)\": 0.576, \"(7.26, 7.3)\": 0.55, \"(7.3, 7.34)\": 0.525, \"(7.34, 7.39)\": 0.473, \"(7.39, 7.42)\": 0.425, \"(7.42, 7.5)\": 0.395, \"(7.5, 7.58)\": 0.295, \"(7.58, 7.61)\": 0.258, \"(7.61, 7.64)\": 0.233, \"(7.64, 7.66)\": 0.205, \"(7.66, 7.69)\": 0.182, \"(7.69, 7.73)\": 0.14, \"(7.73, 7.75)\": 0.112, \"(7.75, 7.78)\": 0.091, \"(7.78, 7.8)\": 0.067, \"(7.8, 7.84)\": 0.043, \"(7.84, 7.88)\": -0.017, \"(7.88, 7.91)\": -0.039, \"(7.91, 7.94)\": -0.064, \"(7.94, 7.96)\": -0.085, \"(7.96, 7.98)\": -0.107, \"(7.98, 8.03)\": -0.147, \"(8.03, 8.05)\": -0.18, \"(8.05, 8.07)\": -0.202, \"(8.07, 8.12)\": -0.231, \"(8.12, 8.18)\": -0.296, \"(8.18, 8.22)\": -0.34, \"(8.22, 8.27)\": -0.363, \"(8.27, 8.3)\": -0.418, \"(8.3, 8.35)\": -0.441, \"(8.35, 8.38)\": -0.492, \"(8.38, 8.42)\": -0.518, \"(8.42, 8.46)\": -0.551, \"(8.46, 8.51)\": -0.585, \"(8.51, 8.55)\": -0.621, \"(8.55, 8.59)\": -0.658, \"(8.59, 8.62)\": -0.679, \"(8.62, 8.67)\": -0.713, \"(8.67, 8.71)\": -0.734, \"(8.71, 8.79)\": -0.774, \"(8.79, 8.85)\": -0.816, \"(8.85, 8.91)\": -0.846, \"(8.91, 8.96)\": -0.876, \"(8.96, 9.02)\": -0.903, \"(9.02, 9.11)\": -0.931, \"(9.11, 9.18)\": -0.952, \"(9.18, 9.32)\": -0.973, \"(9.32, 9.64)\": -0.995, \"(9.64, 9.75)\": -0.972, \"(9.75, 9.82)\": -0.94, \"(9.82, 9.88)\": -0.919, \"(9.88, 9.94)\": -0.895, \"(9.94, 10.0)\": -0.867}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.93)\": 0.4132, \"(-9.93, -9.89)\": 0.3973, \"(-9.89, -9.85)\": 0.3867, \"(-9.85, -9.82)\": 0.374, \"(-9.82, -9.76)\": 0.3576, \"(-9.76, -9.72)\": 0.3444, \"(-9.72, -9.65)\": 0.3244, \"(-9.65, -9.59)\": 0.2878, \"(-9.59, -9.53)\": 0.2758, \"(-9.53, -9.47)\": 0.2435, \"(-9.47, -9.42)\": 0.2197, \"(-9.42, -9.39)\": 0.2017, \"(-9.39, -9.36)\": 0.1904, \"(-9.36, -9.34)\": 0.1776, \"(-9.34, -9.32)\": 0.1635, \"(-9.32, -9.28)\": 0.1523, \"(-9.28, -9.25)\": 0.1344, \"(-9.25, -9.21)\": 0.1201, \"(-9.21, -9.18)\": 0.1011, \"(-9.18, -9.14)\": 0.0842, \"(-9.14, -9.12)\": 0.0721, \"(-9.12, -9.1)\": 0.06, \"(-9.1, -9.07)\": 0.0456, \"(-9.07, -9.03)\": 0.033, \"(-9.03, -9.01)\": 0.0126, \"(-9.01, -8.98)\": 0.0021, \"(-8.98, -8.96)\": -0.0157, \"(-8.96, -8.91)\": -0.0275, \"(-8.91, -8.84)\": -0.0682, \"(-8.84, -8.8)\": -0.0885, \"(-8.8, -8.78)\": -0.0992, \"(-8.78, -8.74)\": -0.1148, \"(-8.74, -8.71)\": -0.1303, \"(-8.71, -8.69)\": -0.1408, \"(-8.69, -8.67)\": -0.1515, \"(-8.67, -8.64)\": -0.1629, \"(-8.64, -8.62)\": -0.1772, \"(-8.62, -8.59)\": -0.1885, \"(-8.59, -8.54)\": -0.2108, \"(-8.54, -8.5)\": -0.2235, \"(-8.5, -8.45)\": -0.249, \"(-8.45, -8.4)\": -0.2642, \"(-8.4, -8.36)\": -0.2885, \"(-8.36, -8.31)\": -0.3003, \"(-8.31, -8.27)\": -0.3208, \"(-8.27, -8.24)\": -0.3331, \"(-8.24, -8.21)\": -0.346, \"(-8.21, -8.16)\": -0.3603, \"(-8.16, -8.13)\": -0.3734, \"(-8.13, -8.09)\": -0.3842, \"(-8.09, -8.01)\": -0.4048, \"(-8.01, -7.98)\": -0.417, \"(-7.98, -7.91)\": -0.4299, \"(-7.91, -7.85)\": -0.4479, \"(-7.85, -7.78)\": -0.4599, \"(-7.78, -7.67)\": -0.4738, \"(-7.67, -7.5)\": -0.4885, \"(-7.5, -7.23)\": -0.4986, \"(-7.23, -7.14)\": -0.4885, \"(-7.14, -7.09)\": -0.4776, \"(-7.09, -6.99)\": -0.465, \"(-6.99, -6.95)\": -0.4532, \"(-6.95, -6.91)\": -0.443, \"(-6.91, -6.86)\": -0.4293, \"(-6.86, -6.8)\": -0.4157, \"(-6.8, -6.76)\": -0.4036, \"(-6.76, -6.71)\": -0.3887, \"(-6.71, -6.67)\": -0.375, \"(-6.67, -6.64)\": -0.3607, \"(-6.64, -6.57)\": -0.3473, \"(-6.57, -6.51)\": -0.3167, \"(-6.51, -6.48)\": -0.2981, \"(-6.48, -6.45)\": -0.288, \"(-6.45, -6.42)\": -0.2748, \"(-6.42, -6.38)\": -0.2634, \"(-6.38, -6.31)\": -0.2378, \"(-6.31, -6.28)\": -0.2148, \"(-6.28, -6.26)\": -0.2013, \"(-6.26, -6.2)\": -0.1876, \"(-6.2, -6.1)\": -0.1472, \"(-6.1, -6.05)\": -0.1053, \"(-6.05, -6.01)\": -0.0951, \"(-6.01, -5.97)\": -0.0754, \"(-5.97, -5.95)\": -0.0518, \"(-5.95, -5.92)\": -0.0396, \"(-5.92, -5.88)\": -0.0243, \"(-5.88, -5.83)\": -0.0011, \"(-5.83, -5.78)\": 0.0256, \"(-5.78, -5.74)\": 0.0436, \"(-5.74, -5.7)\": 0.0645, \"(-5.7, -5.67)\": 0.0761, \"(-5.67, -5.63)\": 0.1011, \"(-5.63, -5.58)\": 0.1213, \"(-5.58, -5.54)\": 0.1406, \"(-5.54, -5.52)\": 0.1547, \"(-5.52, -5.49)\": 0.1652, \"(-5.49, -5.42)\": 0.1849, \"(-5.42, -5.35)\": 0.227, \"(-5.35, -5.31)\": 0.253, \"(-5.31, -5.27)\": 0.2648, \"(-5.27, -5.22)\": 0.2884, \"(-5.22, -5.18)\": 0.2993, \"(-5.18, -5.13)\": 0.3222, \"(-5.13, -5.09)\": 0.3353, \"(-5.09, -5.04)\": 0.3551, \"(-5.04, -4.98)\": 0.3696, \"(-4.98, -4.93)\": 0.3875, \"(-4.93, -4.9)\": 0.401, \"(-4.9, -4.85)\": 0.4122, \"(-4.85, -4.77)\": 0.4288, \"(-4.77, -4.69)\": 0.447, \"(-4.69, -4.61)\": 0.4632, \"(-4.61, -4.53)\": 0.4748, \"(-4.53, -4.42)\": 0.4852, \"(-4.42, -4.03)\": 0.4953, \"(-4.03, -3.96)\": 0.4833, \"(-3.96, -3.9)\": 0.4729, \"(-3.9, -3.83)\": 0.4605, \"(-3.83, -3.78)\": 0.4493, \"(-3.78, -3.74)\": 0.4358, \"(-3.74, -3.69)\": 0.4252, \"(-3.69, -3.65)\": 0.4127, \"(-3.65, -3.59)\": 0.394, \"(-3.59, -3.53)\": 0.3754, \"(-3.53, -3.49)\": 0.3565, \"(-3.49, -3.42)\": 0.345, \"(-3.42, -3.37)\": 0.3165, \"(-3.37, -3.32)\": 0.2971, \"(-3.32, -3.29)\": 0.2786, \"(-3.29, -3.24)\": 0.2643, \"(-3.24, -3.2)\": 0.2499, \"(-3.2, -3.17)\": 0.2281, \"(-3.17, -3.13)\": 0.2155, \"(-3.13, -3.1)\": 0.2001, \"(-3.1, -3.07)\": 0.1818, \"(-3.07, -3.04)\": 0.1718, \"(-3.04, -2.99)\": 0.1491, \"(-2.99, -2.96)\": 0.1301, \"(-2.96, -2.92)\": 0.1129, \"(-2.92, -2.88)\": 0.0967, \"(-2.88, -2.87)\": 0.085, \"(-2.87, -2.84)\": 0.0736, \"(-2.84, -2.82)\": 0.0615, \"(-2.82, -2.79)\": 0.0499, \"(-2.79, -2.76)\": 0.0358, \"(-2.76, -2.74)\": 0.0212, \"(-2.74, -2.7)\": 0.0101, \"(-2.7, -2.65)\": -0.0234, \"(-2.65, -2.63)\": -0.034, \"(-2.63, -2.6)\": -0.0461, \"(-2.6, -2.58)\": -0.0569, \"(-2.58, -2.54)\": -0.0707, \"(-2.54, -2.51)\": -0.0887, \"(-2.51, -2.47)\": -0.1083, \"(-2.47, -2.44)\": -0.127, \"(-2.44, -2.42)\": -0.1388, \"(-2.42, -2.37)\": -0.1492, \"(-2.37, -2.34)\": -0.1732, \"(-2.34, -2.3)\": -0.1866, \"(-2.3, -2.28)\": -0.2053, \"(-2.28, -2.22)\": -0.2206, \"(-2.22, -2.17)\": -0.249, \"(-2.17, -2.13)\": -0.2598, \"(-2.13, -2.07)\": -0.2871, \"(-2.07, -2.02)\": -0.3072, \"(-2.02, -1.96)\": -0.3323, \"(-1.96, -1.91)\": -0.3458, \"(-1.91, -1.85)\": -0.3716, \"(-1.85, -1.79)\": -0.3851, \"(-1.79, -1.73)\": -0.4108, \"(-1.73, -1.68)\": -0.4234, \"(-1.68, -1.62)\": -0.4342, \"(-1.62, -1.53)\": -0.4534, \"(-1.53, -1.47)\": -0.4654, \"(-1.47, -1.39)\": -0.4757, \"(-1.39, -1.17)\": -0.4883, \"(-1.17, -0.92)\": -0.4983, \"(-0.92, -0.83)\": -0.4836, \"(-0.83, -0.77)\": -0.4729, \"(-0.77, -0.68)\": -0.4612, \"(-0.68, -0.63)\": -0.4445, \"(-0.63, -0.57)\": -0.4343, \"(-0.57, -0.51)\": -0.4105, \"(-0.51, -0.46)\": -0.3991, \"(-0.46, -0.4)\": -0.3813, \"(-0.4, -0.33)\": -0.3579, \"(-0.33, -0.29)\": -0.3408, \"(-0.29, -0.27)\": -0.3275, \"(-0.27, -0.23)\": -0.3161, \"(-0.23, -0.19)\": -0.3006, \"(-0.19, -0.14)\": -0.2813, \"(-0.14, -0.09)\": -0.259, \"(-0.09, -0.07)\": -0.2477, \"(-0.07, -0.0)\": -0.2273, \"(-0.0, 0.04)\": -0.1997, \"(0.04, 0.09)\": -0.1817, \"(0.09, 0.13)\": -0.158, \"(0.13, 0.15)\": -0.1468, \"(0.15, 0.17)\": -0.1338, \"(0.17, 0.21)\": -0.1218, \"(0.21, 0.23)\": -0.106, \"(0.23, 0.28)\": -0.0917, \"(0.28, 0.33)\": -0.0619, \"(0.33, 0.36)\": -0.0501, \"(0.36, 0.4)\": -0.0273, \"(0.4, 0.43)\": -0.0097, \"(0.43, 0.45)\": 0.0047, \"(0.45, 0.48)\": 0.0167, \"(0.48, 0.5)\": 0.0335, \"(0.5, 0.55)\": 0.0464, \"(0.55, 0.6)\": 0.0779, \"(0.6, 0.63)\": 0.089, \"(0.63, 0.7)\": 0.1151, \"(0.7, 0.74)\": 0.1415, \"(0.74, 0.77)\": 0.1537, \"(0.77, 0.8)\": 0.1746, \"(0.8, 0.83)\": 0.1869, \"(0.83, 0.89)\": 0.1975, \"(0.89, 0.96)\": 0.2352, \"(0.96, 1.02)\": 0.2629, \"(1.02, 1.07)\": 0.2879, \"(1.07, 1.1)\": 0.3049, \"(1.1, 1.14)\": 0.3159, \"(1.14, 1.17)\": 0.3293, \"(1.17, 1.2)\": 0.3427, \"(1.2, 1.26)\": 0.3539, \"(1.26, 1.31)\": 0.3753, \"(1.31, 1.39)\": 0.3905, \"(1.39, 1.45)\": 0.4185, \"(1.45, 1.5)\": 0.4304, \"(1.5, 1.57)\": 0.4413, \"(1.57, 1.63)\": 0.4571, \"(1.63, 1.7)\": 0.4689, \"(1.7, 1.81)\": 0.4804, \"(1.81, 2.26)\": 0.4931, \"(2.26, 2.35)\": 0.4828, \"(2.35, 2.43)\": 0.462, \"(2.43, 2.5)\": 0.4515, \"(2.5, 2.57)\": 0.4303, \"(2.57, 2.63)\": 0.4153, \"(2.63, 2.67)\": 0.4007, \"(2.67, 2.71)\": 0.3874, \"(2.71, 2.77)\": 0.3731, \"(2.77, 2.83)\": 0.3464, \"(2.83, 2.87)\": 0.334, \"(2.87, 2.91)\": 0.3155, \"(2.91, 2.94)\": 0.305, \"(2.94, 2.96)\": 0.2938, \"(2.96, 3.0)\": 0.2803, \"(3.0, 3.05)\": 0.2599, \"(3.05, 3.11)\": 0.2445, \"(3.11, 3.19)\": 0.2037, \"(3.19, 3.24)\": 0.1768, \"(3.24, 3.29)\": 0.1503, \"(3.29, 3.32)\": 0.1313, \"(3.32, 3.36)\": 0.1166, \"(3.36, 3.39)\": 0.0985, \"(3.39, 3.42)\": 0.0871, \"(3.42, 3.45)\": 0.0701, \"(3.45, 3.48)\": 0.0586, \"(3.48, 3.5)\": 0.0445, \"(3.5, 3.54)\": 0.0209, \"(3.54, 3.58)\": 0.0082, \"(3.58, 3.61)\": -0.0042, \"(3.61, 3.64)\": -0.0273, \"(3.64, 3.66)\": -0.0374, \"(3.66, 3.69)\": -0.0488, \"(3.69, 3.75)\": -0.0747, \"(3.75, 3.79)\": -0.0973, \"(3.79, 3.83)\": -0.1177, \"(3.83, 3.87)\": -0.1339, \"(3.87, 3.89)\": -0.148, \"(3.89, 3.92)\": -0.1605, \"(3.92, 3.97)\": -0.1834, \"(3.97, 3.99)\": -0.1984, \"(3.99, 4.02)\": -0.2086, \"(4.02, 4.04)\": -0.2216, \"(4.04, 4.08)\": -0.2326, \"(4.08, 4.12)\": -0.2441, \"(4.12, 4.16)\": -0.2681, \"(4.16, 4.21)\": -0.2784, \"(4.21, 4.26)\": -0.3107, \"(4.26, 4.32)\": -0.3247, \"(4.32, 4.35)\": -0.3454, \"(4.35, 4.4)\": -0.3586, \"(4.4, 4.44)\": -0.3732, \"(4.44, 4.48)\": -0.3848, \"(4.48, 4.54)\": -0.402, \"(4.54, 4.58)\": -0.4125, \"(4.58, 4.65)\": -0.431, \"(4.65, 4.7)\": -0.4423, \"(4.7, 4.8)\": -0.4572, \"(4.8, 4.89)\": -0.4741, \"(4.89, 5.0)\": -0.4851, \"(5.0, 5.39)\": -0.4956, \"(5.39, 5.48)\": -0.4845, \"(5.48, 5.6)\": -0.4573, \"(5.6, 5.66)\": -0.4468, \"(5.66, 5.73)\": -0.4298, \"(5.73, 5.83)\": -0.4082, \"(5.83, 5.89)\": -0.3738, \"(5.89, 5.93)\": -0.3619, \"(5.93, 5.97)\": -0.3495, \"(5.97, 6.02)\": -0.3378, \"(6.02, 6.08)\": -0.312, \"(6.08, 6.11)\": -0.2887, \"(6.11, 6.17)\": -0.2745, \"(6.17, 6.22)\": -0.2522, \"(6.22, 6.28)\": -0.2184, \"(6.28, 6.33)\": -0.2018, \"(6.33, 6.41)\": -0.1736, \"(6.41, 6.49)\": -0.1297, \"(6.49, 6.55)\": -0.0984, \"(6.55, 6.58)\": -0.0759, \"(6.58, 6.6)\": -0.0629, \"(6.6, 6.63)\": -0.048, \"(6.63, 6.67)\": -0.0339, \"(6.67, 6.7)\": -0.0179, \"(6.7, 6.73)\": -0.0008, \"(6.73, 6.76)\": 0.0168, \"(6.76, 6.79)\": 0.0308, \"(6.79, 6.82)\": 0.0441, \"(6.82, 6.86)\": 0.0622, \"(6.86, 6.9)\": 0.0746, \"(6.9, 6.95)\": 0.1025, \"(6.95, 6.99)\": 0.1289, \"(6.99, 7.01)\": 0.1404, \"(7.01, 7.05)\": 0.1564, \"(7.05, 7.09)\": 0.1723, \"(7.09, 7.14)\": 0.1898, \"(7.14, 7.22)\": 0.2246, \"(7.22, 7.29)\": 0.2639, \"(7.29, 7.31)\": 0.2765, \"(7.31, 7.36)\": 0.2867, \"(7.36, 7.42)\": 0.3149, \"(7.42, 7.48)\": 0.3298, \"(7.48, 7.53)\": 0.3553, \"(7.53, 7.57)\": 0.3656, \"(7.57, 7.6)\": 0.3787, \"(7.6, 7.64)\": 0.3912, \"(7.64, 7.71)\": 0.4061, \"(7.71, 7.77)\": 0.4227, \"(7.77, 7.81)\": 0.4373, \"(7.81, 7.88)\": 0.4492, \"(7.88, 7.97)\": 0.466, \"(7.97, 8.05)\": 0.4764, \"(8.05, 8.2)\": 0.488, \"(8.2, 8.51)\": 0.4982, \"(8.51, 8.58)\": 0.4862, \"(8.58, 8.65)\": 0.4752, \"(8.65, 8.7)\": 0.4645, \"(8.7, 8.77)\": 0.4523, \"(8.77, 8.81)\": 0.4404, \"(8.81, 8.88)\": 0.4227, \"(8.88, 8.95)\": 0.4081, \"(8.95, 9.02)\": 0.3841, \"(9.02, 9.08)\": 0.3674, \"(9.08, 9.15)\": 0.3428, \"(9.15, 9.19)\": 0.3178, \"(9.19, 9.22)\": 0.3058, \"(9.22, 9.27)\": 0.2893, \"(9.27, 9.31)\": 0.266, \"(9.31, 9.36)\": 0.2484, \"(9.36, 9.39)\": 0.2301, \"(9.39, 9.41)\": 0.2195, \"(9.41, 9.45)\": 0.2083, \"(9.45, 9.48)\": 0.1963, \"(9.48, 9.52)\": 0.1719, \"(9.52, 9.55)\": 0.1589, \"(9.55, 9.58)\": 0.1455, \"(9.58, 9.59)\": 0.1348, \"(9.59, 9.63)\": 0.1229, \"(9.63, 9.7)\": 0.0987, \"(9.7, 9.77)\": 0.0544, \"(9.77, 9.81)\": 0.0351, \"(9.81, 9.84)\": 0.0124, \"(9.84, 9.87)\": 0.0002, \"(9.87, 9.89)\": -0.0116, \"(9.89, 9.94)\": -0.0273, \"(9.94, 9.96)\": -0.0465, \"(9.96, 9.99)\": -0.0585}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.9, -9.8)\": -9943.0, \"(-9.8, -9.69)\": -8277.0, \"(-9.69, -9.66)\": -7967.0, \"(-9.66, -9.62)\": -7757.9, \"(-9.62, -9.59)\": -7475.9, \"(-9.59, -9.53)\": -7162.3, \"(-9.53, -9.49)\": -6726.9, \"(-9.49, -9.43)\": -6466.9, \"(-9.43, -9.39)\": -6171.1, \"(-9.39, -9.36)\": -5940.2, \"(-9.36, -9.3)\": -5632.6, \"(-9.3, -9.26)\": -5411.0, \"(-9.26, -9.2)\": -5169.0, \"(-9.2, -9.13)\": -4768.2, \"(-9.13, -9.08)\": -4506.7, \"(-9.08, -8.99)\": -4225.3, \"(-8.99, -8.92)\": -3991.9, \"(-8.92, -8.86)\": -3730.8, \"(-8.86, -8.76)\": -3376.6, \"(-8.76, -8.69)\": -3164.3, \"(-8.69, -8.61)\": -2941.5, \"(-8.61, -8.54)\": -2726.5, \"(-8.54, -8.43)\": -2469.3, \"(-8.43, -8.3)\": -2245.4, \"(-8.3, -8.19)\": -1995.6, \"(-8.19, -8.04)\": -1771.6, \"(-8.04, -7.88)\": -1522.1, \"(-7.88, -7.69)\": -1284.3, \"(-7.69, -7.45)\": -1068.7, \"(-7.45, -7.2)\": -861.8, \"(-7.2, -6.78)\": -650.5, \"(-6.78, -6.16)\": -444.2, \"(-6.16, -4.16)\": -237.4, \"(-4.16, 5.83)\": -32.2, \"(5.83, 6.64)\": 174.1, \"(6.64, 7.09)\": 396.5, \"(7.09, 7.39)\": 608.6, \"(7.39, 7.62)\": 820.2, \"(7.62, 7.82)\": 1028.0, \"(7.82, 7.99)\": 1275.7, \"(7.99, 8.12)\": 1484.8, \"(8.12, 8.24)\": 1693.4, \"(8.24, 8.36)\": 1909.4, \"(8.36, 8.46)\": 2140.7, \"(8.46, 8.54)\": 2349.1, \"(8.54, 8.66)\": 2650.1, \"(8.66, 8.73)\": 2912.7, \"(8.73, 8.8)\": 3190.7, \"(8.8, 8.9)\": 3419.1, \"(8.9, 8.97)\": 3678.2, \"(8.97, 9.06)\": 4049.3, \"(9.06, 9.15)\": 4369.4, \"(9.15, 9.23)\": 4858.2, \"(9.23, 9.26)\": 5111.3, \"(9.26, 9.32)\": 5331.8, \"(9.32, 9.36)\": 5612.1, \"(9.36, 9.41)\": 5826.7, \"(9.41, 9.45)\": 6262.7, \"(9.45, 9.54)\": 6520.0, \"(9.54, 9.6)\": 7187.3, \"(9.6, 9.66)\": 7439.4, \"(9.66, 9.7)\": 7942.5, \"(9.7, 9.72)\": 8198.8, \"(9.72, 9.76)\": 8499.6, \"(9.76, 9.79)\": 8766.2, \"(9.79, 9.82)\": 9034.5, \"(9.82, 9.85)\": 9252.5, \"(9.85, 9.89)\": 9647.8, \"(9.89, 9.91)\": 9885.1, \"(9.91, 9.94)\": 10115.0, \"(9.94, 9.98)\": 10540.9}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -9.97)\": 10826.1, \"(-9.97, -9.94)\": 10590.0, \"(-9.94, -9.91)\": 10245.7, \"(-9.91, -9.89)\": 9981.2, \"(-9.89, -9.83)\": 9757.9, \"(-9.83, -9.75)\": 8942.9, \"(-9.75, -9.68)\": 8308.2, \"(-9.68, -9.64)\": 7859.4, \"(-9.64, -9.6)\": 7624.3, \"(-9.6, -9.58)\": 7392.2, \"(-9.58, -9.56)\": 7170.8, \"(-9.56, -9.52)\": 6956.0, \"(-9.52, -9.47)\": 6716.8, \"(-9.47, -9.43)\": 6407.5, \"(-9.43, -9.35)\": 6053.3, \"(-9.35, -9.27)\": 5569.4, \"(-9.27, -9.21)\": 5245.7, \"(-9.21, -9.17)\": 4947.0, \"(-9.17, -9.13)\": 4729.1, \"(-9.13, -9.05)\": 4484.4, \"(-9.05, -9.0)\": 4253.9, \"(-9.0, -8.9)\": 3964.3, \"(-8.9, -8.79)\": 3560.2, \"(-8.79, -8.7)\": 3185.2, \"(-8.7, -8.6)\": 2950.1, \"(-8.6, -8.51)\": 2693.6, \"(-8.51, -8.39)\": 2470.4, \"(-8.39, -8.28)\": 2173.3, \"(-8.28, -8.15)\": 1951.5, \"(-8.15, -8.0)\": 1692.2, \"(-8.0, -7.84)\": 1479.0, \"(-7.84, -7.64)\": 1250.9, \"(-7.64, -7.4)\": 1025.7, \"(-7.4, -7.09)\": 807.9, \"(-7.09, -6.63)\": 593.7, \"(-6.63, -5.77)\": 379.8, \"(-5.77, 4.55)\": 164.1, \"(4.55, 6.28)\": -49.2, \"(6.28, 6.86)\": -268.1, \"(6.86, 7.24)\": -487.9, \"(7.24, 7.52)\": -704.2, \"(7.52, 7.75)\": -931.7, \"(7.75, 7.91)\": -1160.4, \"(7.91, 8.06)\": -1381.0, \"(8.06, 8.2)\": -1607.4, \"(8.2, 8.33)\": -1879.5, \"(8.33, 8.44)\": -2095.6, \"(8.44, 8.56)\": -2351.0, \"(8.56, 8.66)\": -2663.1, \"(8.66, 8.74)\": -2912.8, \"(8.74, 8.82)\": -3126.9, \"(8.82, 8.9)\": -3457.8, \"(8.9, 8.97)\": -3695.9, \"(8.97, 9.05)\": -4046.4, \"(9.05, 9.08)\": -4288.6, \"(9.08, 9.16)\": -4532.5, \"(9.16, 9.21)\": -4773.1, \"(9.21, 9.26)\": -5104.8, \"(9.26, 9.34)\": -5447.6, \"(9.34, 9.4)\": -5800.4, \"(9.4, 9.45)\": -6103.2, \"(9.45, 9.51)\": -6454.8, \"(9.51, 9.55)\": -6891.7, \"(9.55, 9.59)\": -7123.5, \"(9.59, 9.64)\": -7501.0, \"(9.64, 9.7)\": -8012.7, \"(9.7, 9.75)\": -8240.7, \"(9.75, 9.8)\": -8717.9, \"(9.8, 9.86)\": -9274.7, \"(9.86, 9.89)\": -9610.1, \"(9.89, 9.92)\": -9902.3, \"(9.92, 9.93)\": -10240.2, \"(9.93, 9.98)\": -10480.6}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.95)\": 10655.8, \"(-9.95, -9.95)\": 10525.1, \"(-9.95, -9.93)\": 10392.5, \"(-9.93, -9.92)\": 10223.9, \"(-9.92, -9.9)\": 10102.8, \"(-9.9, -9.88)\": 9809.9, \"(-9.88, -9.86)\": 9685.1, \"(-9.86, -9.84)\": 9494.3, \"(-9.84, -9.82)\": 9283.6, \"(-9.82, -9.81)\": 9159.7, \"(-9.81, -9.79)\": 9046.5, \"(-9.79, -9.78)\": 8906.3, \"(-9.78, -9.76)\": 8774.1, \"(-9.76, -9.75)\": 8631.5, \"(-9.75, -9.73)\": 8497.3, \"(-9.73, -9.7)\": 8319.5, \"(-9.7, -9.68)\": 8052.3, \"(-9.68, -9.64)\": 7909.7, \"(-9.64, -9.61)\": 7602.0, \"(-9.61, -9.54)\": 7340.8, \"(-9.54, -9.49)\": 6717.4, \"(-9.49, -9.47)\": 6589.9, \"(-9.47, -9.46)\": 6434.6, \"(-9.46, -9.41)\": 6322.6, \"(-9.41, -9.36)\": 5939.2, \"(-9.36, -9.34)\": 5777.1, \"(-9.34, -9.3)\": 5657.0, \"(-9.3, -9.26)\": 5351.5, \"(-9.26, -9.24)\": 5225.7, \"(-9.24, -9.22)\": 5083.4, \"(-9.22, -9.18)\": 4958.9, \"(-9.18, -9.15)\": 4790.2, \"(-9.15, -9.11)\": 4676.8, \"(-9.11, -9.08)\": 4526.4, \"(-9.08, -9.04)\": 4343.9, \"(-9.04, -8.98)\": 4177.3, \"(-8.98, -8.94)\": 3884.2, \"(-8.94, -8.89)\": 3747.1, \"(-8.89, -8.85)\": 3590.7, \"(-8.85, -8.79)\": 3416.8, \"(-8.79, -8.75)\": 3246.1, \"(-8.75, -8.71)\": 3127.2, \"(-8.71, -8.67)\": 3015.2, \"(-8.67, -8.64)\": 2882.0, \"(-8.64, -8.57)\": 2746.4, \"(-8.57, -8.51)\": 2594.9, \"(-8.51, -8.46)\": 2469.6, \"(-8.46, -8.4)\": 2334.7, \"(-8.4, -8.34)\": 2201.2, \"(-8.34, -8.27)\": 2082.8, \"(-8.27, -8.23)\": 1959.0, \"(-8.23, -8.15)\": 1832.0, \"(-8.15, -8.09)\": 1718.6, \"(-8.09, -8.02)\": 1604.9, \"(-8.02, -7.89)\": 1475.3, \"(-7.89, -7.77)\": 1304.5, \"(-7.77, -7.68)\": 1188.9, \"(-7.68, -7.56)\": 1072.0, \"(-7.56, -7.45)\": 960.8, \"(-7.45, -7.29)\": 838.4, \"(-7.29, -7.12)\": 726.7, \"(-7.12, -6.9)\": 605.2, \"(-6.9, -6.63)\": 491.2, \"(-6.63, -6.29)\": 373.9, \"(-6.29, -5.72)\": 265.0, \"(-5.72, -4.44)\": 154.2, \"(-4.44, 5.69)\": 44.8, \"(5.69, 6.25)\": 154.4, \"(6.25, 6.62)\": 266.9, \"(6.62, 6.88)\": 381.9, \"(6.88, 7.08)\": 493.0, \"(7.08, 7.27)\": 608.6, \"(7.27, 7.42)\": 727.0, \"(7.42, 7.55)\": 844.7, \"(7.55, 7.66)\": 960.5, \"(7.66, 7.75)\": 1071.6, \"(7.75, 7.86)\": 1182.3, \"(7.86, 7.94)\": 1299.1, \"(7.94, 8.01)\": 1419.2, \"(8.01, 8.07)\": 1545.5, \"(8.07, 8.18)\": 1661.4, \"(8.18, 8.25)\": 1803.5, \"(8.25, 8.32)\": 1942.2, \"(8.32, 8.43)\": 2064.1, \"(8.43, 8.53)\": 2469.3, \"(8.53, 8.6)\": 2605.6, \"(8.6, 8.63)\": 2728.5, \"(8.63, 8.7)\": 2864.2, \"(8.7, 8.74)\": 3006.2, \"(8.74, 8.79)\": 3178.0, \"(8.79, 8.83)\": 3322.3, \"(8.83, 8.89)\": 3523.4, \"(8.89, 8.92)\": 3644.9, \"(8.92, 8.96)\": 3789.2, \"(8.96, 8.99)\": 3916.2, \"(8.99, 9.04)\": 4119.5, \"(9.04, 9.1)\": 4330.1, \"(9.1, 9.13)\": 4490.0, \"(9.13, 9.2)\": 4781.8, \"(9.2, 9.23)\": 4990.1, \"(9.23, 9.26)\": 5117.9, \"(9.26, 9.28)\": 5246.7, \"(9.28, 9.31)\": 5428.0, \"(9.31, 9.36)\": 5590.8, \"(9.36, 9.4)\": 5899.2, \"(9.4, 9.43)\": 6092.1, \"(9.43, 9.44)\": 6245.1, \"(9.44, 9.49)\": 6425.1, \"(9.49, 9.55)\": 6865.9, \"(9.55, 9.56)\": 7049.2, \"(9.56, 9.58)\": 7167.9, \"(9.58, 9.61)\": 7311.0, \"(9.61, 9.64)\": 7624.9, \"(9.64, 9.66)\": 7753.2, \"(9.66, 9.68)\": 7897.0, \"(9.68, 9.72)\": 8114.0, \"(9.72, 9.76)\": 8526.9, \"(9.76, 9.78)\": 8741.5, \"(9.78, 9.8)\": 8896.9, \"(9.8, 9.83)\": 9110.8, \"(9.83, 9.87)\": 9405.4, \"(9.87, 9.9)\": 9899.9, \"(9.9, 9.91)\": 10024.6, \"(9.91, 9.95)\": 10165.3, \"(9.95, 9.98)\": 10696.4, \"(9.98, 9.99)\": 10855.0}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.98)\": -10906.4, \"(-9.98, -9.97)\": -10783.2, \"(-9.97, -9.95)\": -10642.3, \"(-9.95, -9.92)\": -10362.8, \"(-9.92, -9.88)\": -9907.9, \"(-9.88, -9.86)\": -9712.8, \"(-9.86, -9.85)\": -9540.4, \"(-9.85, -9.84)\": -9427.7, \"(-9.84, -9.82)\": -9291.0, \"(-9.82, -9.78)\": -9085.6, \"(-9.78, -9.75)\": -8679.0, \"(-9.75, -9.73)\": -8563.9, \"(-9.73, -9.7)\": -8288.6, \"(-9.7, -9.68)\": -8157.7, \"(-9.68, -9.66)\": -7952.6, \"(-9.66, -9.64)\": -7829.1, \"(-9.64, -9.62)\": -7622.8, \"(-9.62, -9.59)\": -7393.1, \"(-9.59, -9.56)\": -7215.7, \"(-9.56, -9.53)\": -7017.9, \"(-9.53, -9.5)\": -6817.7, \"(-9.5, -9.47)\": -6549.1, \"(-9.47, -9.45)\": -6435.4, \"(-9.45, -9.43)\": -6324.2, \"(-9.43, -9.4)\": -6154.0, \"(-9.4, -9.37)\": -6026.0, \"(-9.37, -9.34)\": -5780.8, \"(-9.34, -9.32)\": -5606.5, \"(-9.32, -9.26)\": -5449.5, \"(-9.26, -9.2)\": -5077.2, \"(-9.2, -9.18)\": -4929.0, \"(-9.18, -9.16)\": -4808.3, \"(-9.16, -9.11)\": -4664.5, \"(-9.11, -9.08)\": -4512.7, \"(-9.08, -9.05)\": -4362.5, \"(-9.05, -9.02)\": -4245.6, \"(-9.02, -8.97)\": -4079.6, \"(-8.97, -8.91)\": -3841.0, \"(-8.91, -8.89)\": -3699.5, \"(-8.89, -8.84)\": -3557.0, \"(-8.84, -8.8)\": -3436.0, \"(-8.8, -8.77)\": -3304.3, \"(-8.77, -8.72)\": -3173.7, \"(-8.72, -8.68)\": -3008.7, \"(-8.68, -8.6)\": -2881.3, \"(-8.6, -8.52)\": -2650.8, \"(-8.52, -8.42)\": -2416.1, \"(-8.42, -8.31)\": -2183.5, \"(-8.31, -8.23)\": -1962.0, \"(-8.23, -8.14)\": -1845.2, \"(-8.14, -8.07)\": -1716.4, \"(-8.07, -7.98)\": -1586.0, \"(-7.98, -7.88)\": -1437.9, \"(-7.88, -7.8)\": -1317.5, \"(-7.8, -7.69)\": -1196.3, \"(-7.69, -7.56)\": -1071.9, \"(-7.56, -7.43)\": -944.0, \"(-7.43, -7.26)\": -830.6, \"(-7.26, -7.02)\": -677.6, \"(-7.02, -6.8)\": -563.2, \"(-6.8, -6.51)\": -448.2, \"(-6.51, -6.1)\": -336.9, \"(-6.1, -5.5)\": -226.7, \"(-5.5, -2.68)\": -116.0, \"(-2.68, 5.44)\": -6.4, \"(5.44, 6.12)\": -116.7, \"(6.12, 6.52)\": -232.7, \"(6.52, 6.81)\": -342.1, \"(6.81, 7.02)\": -453.1, \"(7.02, 7.22)\": -575.8, \"(7.22, 7.35)\": -687.1, \"(7.35, 7.5)\": -799.0, \"(7.5, 7.62)\": -912.6, \"(7.62, 7.73)\": -1026.6, \"(7.73, 7.81)\": -1141.0, \"(7.81, 7.9)\": -1252.1, \"(7.9, 8.0)\": -1371.8, \"(8.0, 8.09)\": -1503.4, \"(8.09, 8.16)\": -1638.8, \"(8.16, 8.24)\": -1763.0, \"(8.24, 8.3)\": -1906.6, \"(8.3, 8.35)\": -2019.0, \"(8.35, 8.42)\": -2144.3, \"(8.42, 8.49)\": -2315.8, \"(8.49, 8.56)\": -2492.5, \"(8.56, 8.61)\": -2603.7, \"(8.61, 8.68)\": -2787.0, \"(8.68, 8.74)\": -3022.9, \"(8.74, 8.78)\": -3180.3, \"(8.78, 8.83)\": -3349.1, \"(8.83, 8.87)\": -3475.5, \"(8.87, 8.91)\": -3608.4, \"(8.91, 8.98)\": -3779.1, \"(8.98, 9.05)\": -4070.1, \"(9.05, 9.09)\": -4337.6, \"(9.09, 9.11)\": -4452.7, \"(9.11, 9.14)\": -4570.0, \"(9.14, 9.16)\": -4698.8, \"(9.16, 9.2)\": -4833.2, \"(9.2, 9.23)\": -4996.9, \"(9.23, 9.26)\": -5109.8, \"(9.26, 9.27)\": -5267.8, \"(9.27, 9.35)\": -5383.8, \"(9.35, 9.44)\": -6194.5, \"(9.44, 9.46)\": -6328.7, \"(9.46, 9.48)\": -6473.0, \"(9.48, 9.51)\": -6611.3, \"(9.51, 9.54)\": -6869.6, \"(9.54, 9.56)\": -7035.0, \"(9.56, 9.59)\": -7148.6, \"(9.59, 9.6)\": -7312.6, \"(9.6, 9.62)\": -7425.6, \"(9.62, 9.65)\": -7685.2, \"(9.65, 9.69)\": -7804.7, \"(9.69, 9.73)\": -8271.5, \"(9.73, 9.76)\": -8465.3, \"(9.76, 9.78)\": -8773.1, \"(9.78, 9.8)\": -8890.8, \"(9.8, 9.83)\": -9152.5, \"(9.83, 9.87)\": -9433.3, \"(9.87, 9.9)\": -9902.0}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.94, -2.33)\": -1.0, \"(-2.33, -1.95)\": -0.98, \"(-1.95, -1.71)\": -0.959, \"(-1.71, -1.58)\": -0.936, \"(-1.58, -1.46)\": -0.914, \"(-1.46, -1.35)\": -0.893, \"(-1.35, -1.28)\": -0.872, \"(-1.28, -1.19)\": -0.849, \"(-1.19, -1.13)\": -0.824, \"(-1.13, -1.05)\": -0.801, \"(-1.05, -1.0)\": -0.781, \"(-1.0, -0.93)\": -0.752, \"(-0.93, -0.89)\": -0.728, \"(-0.89, -0.82)\": -0.696, \"(-0.82, -0.78)\": -0.674, \"(-0.78, -0.74)\": -0.649, \"(-0.74, -0.7)\": -0.625, \"(-0.7, -0.67)\": -0.596, \"(-0.67, -0.61)\": -0.572, \"(-0.61, -0.58)\": -0.535, \"(-0.58, -0.54)\": -0.509, \"(-0.54, -0.49)\": -0.486, \"(-0.49, -0.46)\": -0.446, \"(-0.46, -0.41)\": -0.421, \"(-0.41, -0.36)\": -0.373, \"(-0.36, -0.34)\": -0.343, \"(-0.34, -0.31)\": -0.32, \"(-0.31, -0.29)\": -0.292, \"(-0.29, -0.25)\": -0.261, \"(-0.25, -0.23)\": -0.234, \"(-0.23, -0.19)\": -0.213, \"(-0.19, -0.17)\": -0.189, \"(-0.17, -0.14)\": -0.158, \"(-0.14, -0.1)\": -0.136, \"(-0.1, -0.05)\": -0.068, \"(-0.05, -0.02)\": -0.041, \"(-0.02, 0.02)\": -0.006, \"(0.02, 0.04)\": 0.026, \"(0.04, 0.06)\": 0.047, \"(0.06, 0.09)\": 0.067, \"(0.09, 0.11)\": 0.092, \"(0.11, 0.13)\": 0.113, \"(0.13, 0.15)\": 0.136, \"(0.15, 0.18)\": 0.161, \"(0.18, 0.22)\": 0.197, \"(0.22, 0.24)\": 0.224, \"(0.24, 0.26)\": 0.245, \"(0.26, 0.29)\": 0.268, \"(0.29, 0.34)\": 0.293, \"(0.34, 0.39)\": 0.342, \"(0.39, 0.42)\": 0.378, \"(0.42, 0.45)\": 0.404, \"(0.45, 0.48)\": 0.427, \"(0.48, 0.52)\": 0.455, \"(0.52, 0.57)\": 0.494, \"(0.57, 0.6)\": 0.521, \"(0.6, 0.64)\": 0.55, \"(0.64, 0.68)\": 0.575, \"(0.68, 0.74)\": 0.609, \"(0.74, 0.8)\": 0.636, \"(0.8, 0.85)\": 0.671, \"(0.85, 0.92)\": 0.693, \"(0.92, 0.99)\": 0.74, \"(0.99, 1.06)\": 0.762, \"(1.06, 1.1)\": 0.784, \"(1.1, 1.18)\": 0.806, \"(1.18, 1.26)\": 0.829, \"(1.26, 1.34)\": 0.852, \"(1.34, 1.43)\": 0.877, \"(1.43, 1.56)\": 0.897, \"(1.56, 1.72)\": 0.919, \"(1.72, 1.92)\": 0.939, \"(1.92, 2.33)\": 0.961, \"(2.33, 9.97)\": 0.983}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.44)\": -3.0, \"(-9.44, -8.89)\": -2.939, \"(-8.89, -8.34)\": -2.879, \"(-8.34, -7.86)\": -2.817, \"(-7.86, -7.38)\": -2.756, \"(-7.38, -6.91)\": -2.695, \"(-6.91, -6.5)\": -2.628, \"(-6.5, -6.09)\": -2.568, \"(-6.09, -5.72)\": -2.505, \"(-5.72, -5.38)\": -2.444, \"(-5.38, -5.07)\": -2.384, \"(-5.07, -4.73)\": -2.32, \"(-4.73, -4.45)\": -2.257, \"(-4.45, -4.17)\": -2.196, \"(-4.17, -3.89)\": -2.131, \"(-3.89, -3.65)\": -2.067, \"(-3.65, -3.42)\": -2.005, \"(-3.42, -3.22)\": -1.942, \"(-3.22, -3.01)\": -1.881, \"(-3.01, -2.81)\": -1.817, \"(-2.81, -2.63)\": -1.751, \"(-2.63, -2.44)\": -1.686, \"(-2.44, -2.29)\": -1.625, \"(-2.29, -2.14)\": -1.559, \"(-2.14, -1.98)\": -1.494, \"(-1.98, -1.83)\": -1.423, \"(-1.83, -1.69)\": -1.36, \"(-1.69, -1.57)\": -1.294, \"(-1.57, -1.45)\": -1.227, \"(-1.45, -1.35)\": -1.166, \"(-1.35, -1.23)\": -1.105, \"(-1.23, -1.13)\": -1.035, \"(-1.13, -1.02)\": -0.959, \"(-1.02, -0.95)\": -0.889, \"(-0.95, -0.81)\": -0.811, \"(-0.81, -0.7)\": -0.719, \"(-0.7, -0.63)\": -0.635, \"(-0.63, -0.53)\": -0.571, \"(-0.53, -0.46)\": -0.49, \"(-0.46, -0.4)\": -0.43, \"(-0.4, -0.3)\": -0.365, \"(-0.3, -0.2)\": -0.265, \"(-0.2, -0.14)\": -0.179, \"(-0.14, -0.05)\": -0.109, \"(-0.05, 0.02)\": -0.042, \"(0.02, 0.09)\": 0.024, \"(0.09, 0.18)\": 0.115, \"(0.18, 0.26)\": 0.186, \"(0.26, 0.31)\": 0.264, \"(0.31, 0.41)\": 0.328, \"(0.41, 0.46)\": 0.404, \"(0.46, 0.55)\": 0.467, \"(0.55, 0.64)\": 0.534, \"(0.64, 0.72)\": 0.6, \"(0.72, 0.81)\": 0.691, \"(0.81, 0.88)\": 0.76, \"(0.88, 1.0)\": 0.822, \"(1.0, 1.11)\": 0.887, \"(1.11, 1.21)\": 0.964, \"(1.21, 1.32)\": 1.03, \"(1.32, 1.42)\": 1.098, \"(1.42, 1.56)\": 1.162, \"(1.56, 1.66)\": 1.23, \"(1.66, 1.8)\": 1.29, \"(1.8, 1.95)\": 1.358, \"(1.95, 2.08)\": 1.426, \"(2.08, 2.22)\": 1.487, \"(2.22, 2.41)\": 1.549, \"(2.41, 2.59)\": 1.614, \"(2.59, 2.77)\": 1.684, \"(2.77, 2.98)\": 1.745, \"(2.98, 3.17)\": 1.811, \"(3.17, 3.41)\": 1.88, \"(3.41, 3.62)\": 1.944, \"(3.62, 3.85)\": 2.005, \"(3.85, 4.15)\": 2.066, \"(4.15, 4.45)\": 2.137, \"(4.45, 4.74)\": 2.2, \"(4.74, 5.06)\": 2.262, \"(5.06, 5.39)\": 2.326, \"(5.39, 5.73)\": 2.387, \"(5.73, 6.14)\": 2.451, \"(6.14, 6.49)\": 2.513, \"(6.49, 6.93)\": 2.573, \"(6.93, 7.37)\": 2.637, \"(7.37, 7.83)\": 2.697, \"(7.83, 8.34)\": 2.758, \"(8.34, 8.88)\": 2.818, \"(8.88, 9.45)\": 2.879, \"(9.45, 9.99)\": 2.943}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -7.71)\": -1.472, \"(-7.71, -6.33)\": -1.442, \"(-6.33, -5.19)\": -1.412, \"(-5.19, -4.51)\": -1.382, \"(-4.51, -3.93)\": -1.352, \"(-3.93, -3.5)\": -1.322, \"(-3.5, -3.14)\": -1.292, \"(-3.14, -2.83)\": -1.26, \"(-2.83, -2.53)\": -1.229, \"(-2.53, -2.33)\": -1.195, \"(-2.33, -2.16)\": -1.165, \"(-2.16, -1.98)\": -1.132, \"(-1.98, -1.85)\": -1.101, \"(-1.85, -1.71)\": -1.071, \"(-1.71, -1.59)\": -1.04, \"(-1.59, -1.44)\": -0.998, \"(-1.44, -1.33)\": -0.955, \"(-1.33, -1.24)\": -0.92, \"(-1.24, -1.18)\": -0.891, \"(-1.18, -1.08)\": -0.861, \"(-1.08, -1.02)\": -0.814, \"(-1.02, -0.94)\": -0.782, \"(-0.94, -0.89)\": -0.749, \"(-0.89, -0.81)\": -0.718, \"(-0.81, -0.76)\": -0.682, \"(-0.76, -0.73)\": -0.652, \"(-0.73, -0.64)\": -0.619, \"(-0.64, -0.59)\": -0.557, \"(-0.59, -0.53)\": -0.525, \"(-0.53, -0.46)\": -0.46, \"(-0.46, -0.42)\": -0.429, \"(-0.42, -0.37)\": -0.388, \"(-0.37, -0.31)\": -0.335, \"(-0.31, -0.25)\": -0.275, \"(-0.25, -0.21)\": -0.233, \"(-0.21, -0.17)\": -0.193, \"(-0.17, -0.12)\": -0.146, \"(-0.12, -0.07)\": -0.097, \"(-0.07, -0.01)\": -0.061, \"(-0.01, 0.07)\": 0.039, \"(0.07, 0.12)\": 0.101, \"(0.12, 0.15)\": 0.134, \"(0.15, 0.18)\": 0.165, \"(0.18, 0.27)\": 0.208, \"(0.27, 0.39)\": 0.33, \"(0.39, 0.44)\": 0.385, \"(0.44, 0.48)\": 0.416, \"(0.48, 0.52)\": 0.455, \"(0.52, 0.58)\": 0.485, \"(0.58, 0.66)\": 0.533, \"(0.66, 0.73)\": 0.605, \"(0.73, 0.79)\": 0.639, \"(0.79, 0.85)\": 0.673, \"(0.85, 0.91)\": 0.713, \"(0.91, 0.95)\": 0.744, \"(0.95, 1.04)\": 0.774, \"(1.04, 1.12)\": 0.809, \"(1.12, 1.21)\": 0.852, \"(1.21, 1.29)\": 0.882, \"(1.29, 1.41)\": 0.918, \"(1.41, 1.49)\": 0.95, \"(1.49, 1.57)\": 0.98, \"(1.57, 1.71)\": 1.01, \"(1.71, 1.84)\": 1.043, \"(1.84, 2.0)\": 1.074, \"(2.0, 2.18)\": 1.11, \"(2.18, 2.38)\": 1.144, \"(2.38, 2.6)\": 1.176, \"(2.6, 2.84)\": 1.206, \"(2.84, 3.18)\": 1.237, \"(3.18, 3.55)\": 1.268, \"(3.55, 4.04)\": 1.298, \"(4.04, 4.55)\": 1.329, \"(4.55, 5.41)\": 1.359, \"(5.41, 6.54)\": 1.389, \"(6.54, 8.14)\": 1.419, \"(8.14, 9.96)\": 1.449}\\n',\n", - " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -4.69)\": -0.0005, \"(-4.69, -3.92)\": 0.0096, \"(-3.92, -3.49)\": 0.0198, \"(-3.49, -3.19)\": 0.0304, \"(-3.19, -2.96)\": 0.0409, \"(-2.96, -2.74)\": 0.0513, \"(-2.74, -2.56)\": 0.0618, \"(-2.56, -2.4)\": 0.0727, \"(-2.4, -2.3)\": 0.0851, \"(-2.3, -2.12)\": 0.0956, \"(-2.12, -2.03)\": 0.1066, \"(-2.03, -1.92)\": 0.1174, \"(-1.92, -1.81)\": 0.1301, \"(-1.81, -1.73)\": 0.1413, \"(-1.73, -1.63)\": 0.1519, \"(-1.63, -1.55)\": 0.1655, \"(-1.55, -1.46)\": 0.1774, \"(-1.46, -1.39)\": 0.1892, \"(-1.39, -1.35)\": 0.1992, \"(-1.35, -1.27)\": 0.2093, \"(-1.27, -1.22)\": 0.22, \"(-1.22, -1.15)\": 0.2303, \"(-1.15, -1.08)\": 0.2415, \"(-1.08, -1.03)\": 0.254, \"(-1.03, -0.98)\": 0.2643, \"(-0.98, -0.93)\": 0.2746, \"(-0.93, -0.86)\": 0.2857, \"(-0.86, -0.79)\": 0.2989, \"(-0.79, -0.71)\": 0.3188, \"(-0.71, -0.65)\": 0.3316, \"(-0.65, -0.59)\": 0.3449, \"(-0.59, -0.53)\": 0.3564, \"(-0.53, -0.46)\": 0.3767, \"(-0.46, -0.42)\": 0.3894, \"(-0.42, -0.36)\": 0.4009, \"(-0.36, -0.31)\": 0.4127, \"(-0.31, -0.28)\": 0.4227, \"(-0.28, -0.23)\": 0.4336, \"(-0.23, -0.19)\": 0.445, \"(-0.19, -0.13)\": 0.4561, \"(-0.13, -0.08)\": 0.468, \"(-0.08, -0.04)\": 0.4839, \"(-0.04, 0.02)\": 0.4969, \"(0.02, 0.07)\": 0.5102, \"(0.07, 0.14)\": 0.5217, \"(0.14, 0.18)\": 0.5362, \"(0.18, 0.22)\": 0.5482, \"(0.22, 0.32)\": 0.5631, \"(0.32, 0.38)\": 0.587, \"(0.38, 0.45)\": 0.5999, \"(0.45, 0.5)\": 0.6125, \"(0.5, 0.56)\": 0.6245, \"(0.56, 0.6)\": 0.635, \"(0.6, 0.66)\": 0.6491, \"(0.66, 0.75)\": 0.6643, \"(0.75, 0.84)\": 0.6859, \"(0.84, 0.89)\": 0.6986, \"(0.89, 0.95)\": 0.7102, \"(0.95, 1.01)\": 0.723, \"(1.01, 1.07)\": 0.7347, \"(1.07, 1.14)\": 0.7481, \"(1.14, 1.21)\": 0.7598, \"(1.21, 1.29)\": 0.772, \"(1.29, 1.37)\": 0.7875, \"(1.37, 1.46)\": 0.8009, \"(1.46, 1.52)\": 0.8116, \"(1.52, 1.59)\": 0.8233, \"(1.59, 1.69)\": 0.8344, \"(1.69, 1.78)\": 0.8459, \"(1.78, 1.89)\": 0.8569, \"(1.89, 2.02)\": 0.8713, \"(2.02, 2.1)\": 0.8817, \"(2.1, 2.27)\": 0.8939, \"(2.27, 2.41)\": 0.9076, \"(2.41, 2.55)\": 0.918, \"(2.55, 2.72)\": 0.9287, \"(2.72, 2.92)\": 0.9391, \"(2.92, 3.16)\": 0.95, \"(3.16, 3.51)\": 0.9601, \"(3.51, 3.93)\": 0.9706, \"(3.93, 4.73)\": 0.9809, \"(4.73, 9.99)\": 0.9914}\\n']" - ] - }, - "execution_count": 92, + "['Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -9.87)\": -1.497, \"(-9.87, -9.71)\": -1.461, \"(-9.71, -9.58)\": -1.423, \"(-9.58, -9.45)\": -1.393, \"(-9.45, -9.32)\": -1.358, \"(-9.32, -9.17)\": -1.326, \"(-9.17, -9.05)\": -1.287, \"(-9.05, -8.9)\": -1.257, \"(-8.9, -8.79)\": -1.223, \"(-8.79, -8.67)\": -1.193, \"(-8.67, -8.54)\": -1.163, \"(-8.54, -8.38)\": -1.126, \"(-8.38, -8.25)\": -1.095, \"(-8.25, -8.13)\": -1.054, \"(-8.13, -7.97)\": -1.023, \"(-7.97, -7.84)\": -0.989, \"(-7.84, -7.72)\": -0.958, \"(-7.72, -7.6)\": -0.927, \"(-7.6, -7.49)\": -0.896, \"(-7.49, -7.35)\": -0.866, \"(-7.35, -7.24)\": -0.836, \"(-7.24, -7.13)\": -0.806, \"(-7.13, -7.0)\": -0.776, \"(-7.0, -6.84)\": -0.746, \"(-6.84, -6.72)\": -0.707, \"(-6.72, -6.59)\": -0.676, \"(-6.59, -6.44)\": -0.643, \"(-6.44, -6.29)\": -0.608, \"(-6.29, -6.12)\": -0.574, \"(-6.12, -5.97)\": -0.521, \"(-5.97, -5.82)\": -0.485, \"(-5.82, -5.69)\": -0.453, \"(-5.69, -5.57)\": -0.422, \"(-5.57, -5.44)\": -0.39, \"(-5.44, -5.31)\": -0.356, \"(-5.31, -5.17)\": -0.322, \"(-5.17, -5.05)\": -0.291, \"(-5.05, -4.92)\": -0.26, \"(-4.92, -4.8)\": -0.228, \"(-4.8, -4.67)\": -0.196, \"(-4.67, -4.54)\": -0.162, \"(-4.54, -4.4)\": -0.131, \"(-4.4, -4.25)\": -0.097, \"(-4.25, -4.14)\": -0.066, \"(-4.14, -4.02)\": -0.035, \"(-4.02, -3.89)\": -0.002, \"(-3.89, -3.73)\": 0.034, \"(-3.73, -3.59)\": 0.071, \"(-3.59, -3.46)\": 0.103, \"(-3.46, -3.33)\": 0.137, \"(-3.33, -3.19)\": 0.168, \"(-3.19, -3.05)\": 0.203, \"(-3.05, -2.94)\": 0.235, \"(-2.94, -2.79)\": 0.265, \"(-2.79, -2.67)\": 0.296, \"(-2.67, -2.52)\": 0.328, \"(-2.52, -2.37)\": 0.36, \"(-2.37, -2.19)\": 0.395, \"(-2.19, -2.01)\": 0.431, \"(-2.01, -1.83)\": 0.463, \"(-1.83, -1.56)\": 0.494, \"(-1.56, -0.93)\": 0.527, \"(-0.93, -0.81)\": 0.497, \"(-0.81, -0.66)\": 0.462, \"(-0.66, -0.52)\": 0.385, \"(-0.52, -0.44)\": 0.336, \"(-0.44, -0.37)\": 0.299, \"(-0.37, -0.31)\": 0.248, \"(-0.31, -0.26)\": 0.217, \"(-0.26, -0.2)\": 0.182, \"(-0.2, -0.16)\": 0.144, \"(-0.16, -0.1)\": 0.111, \"(-0.1, -0.04)\": 0.06, \"(-0.04, -0.01)\": 0.026, \"(-0.01, 0.09)\": -0.014, \"(0.09, 0.17)\": -0.087, \"(0.17, 0.26)\": -0.143, \"(0.26, 0.33)\": -0.206, \"(0.33, 0.39)\": -0.244, \"(0.39, 0.46)\": -0.278, \"(0.46, 0.53)\": -0.325, \"(0.53, 0.59)\": -0.357, \"(0.59, 0.68)\": -0.393, \"(0.68, 0.78)\": -0.427, \"(0.78, 0.96)\": -0.472, \"(0.96, 1.89)\": -0.509, \"(1.89, 2.1)\": -0.476, \"(2.1, 2.27)\": -0.443, \"(2.27, 2.42)\": -0.412, \"(2.42, 2.57)\": -0.379, \"(2.57, 2.71)\": -0.346, \"(2.71, 2.85)\": -0.312, \"(2.85, 2.99)\": -0.268, \"(2.99, 3.16)\": -0.236, \"(3.16, 3.29)\": -0.201, \"(3.29, 3.45)\": -0.167, \"(3.45, 3.57)\": -0.134, \"(3.57, 3.72)\": -0.103, \"(3.72, 3.88)\": -0.061, \"(3.88, 3.99)\": -0.029, \"(3.99, 4.12)\": 0.002, \"(4.12, 4.24)\": 0.034, \"(4.24, 4.39)\": 0.068, \"(4.39, 4.52)\": 0.1, \"(4.52, 4.65)\": 0.132, \"(4.65, 4.79)\": 0.167, \"(4.79, 4.94)\": 0.199, \"(4.94, 5.08)\": 0.241, \"(5.08, 5.24)\": 0.275, \"(5.24, 5.41)\": 0.32, \"(5.41, 5.52)\": 0.352, \"(5.52, 5.65)\": 0.384, \"(5.65, 5.79)\": 0.415, \"(5.79, 5.92)\": 0.449, \"(5.92, 6.03)\": 0.482, \"(6.03, 6.17)\": 0.515, \"(6.17, 6.3)\": 0.546, \"(6.3, 6.43)\": 0.577, \"(6.43, 6.55)\": 0.608, \"(6.55, 6.65)\": 0.639, \"(6.65, 6.82)\": 0.67, \"(6.82, 6.96)\": 0.71, \"(6.96, 7.09)\": 0.743, \"(7.09, 7.23)\": 0.776, \"(7.23, 7.35)\": 0.808, \"(7.35, 7.48)\": 0.842, \"(7.48, 7.6)\": 0.872, \"(7.6, 7.73)\": 0.903, \"(7.73, 7.85)\": 0.935, \"(7.85, 8.01)\": 0.972, \"(8.01, 8.14)\": 1.007, \"(8.14, 8.28)\": 1.038, \"(8.28, 8.42)\": 1.073, \"(8.42, 8.55)\": 1.106, \"(8.55, 8.67)\": 1.139, \"(8.67, 8.81)\": 1.172, \"(8.81, 8.93)\": 1.202, \"(8.93, 9.06)\": 1.236, \"(9.06, 9.2)\": 1.269, \"(9.2, 9.33)\": 1.303, \"(9.33, 9.47)\": 1.335, \"(9.47, 9.59)\": 1.368, \"(9.59, 9.73)\": 1.4, \"(9.73, 9.86)\": 1.436, \"(9.86, 10.0)\": 1.471}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.95)\": -0.937, \"(-9.95, -9.89)\": -0.986, \"(-9.89, -9.82)\": -1.035, \"(-9.82, -9.77)\": -1.088, \"(-9.77, -9.69)\": -1.157, \"(-9.69, -9.62)\": -1.211, \"(-9.62, -9.54)\": -1.282, \"(-9.54, -9.46)\": -1.374, \"(-9.46, -9.41)\": -1.434, \"(-9.41, -9.34)\": -1.493, \"(-9.34, -9.29)\": -1.55, \"(-9.29, -9.23)\": -1.603, \"(-9.23, -9.16)\": -1.671, \"(-9.16, -9.1)\": -1.729, \"(-9.1, -9.05)\": -1.79, \"(-9.05, -8.95)\": -1.854, \"(-8.95, -8.88)\": -1.932, \"(-8.88, -8.78)\": -2.008, \"(-8.78, -8.72)\": -2.07, \"(-8.72, -8.63)\": -2.119, \"(-8.63, -8.59)\": -2.172, \"(-8.59, -8.46)\": -2.221, \"(-8.46, -8.36)\": -2.284, \"(-8.36, -8.22)\": -2.334, \"(-8.22, -7.43)\": -2.403, \"(-7.43, -7.32)\": -2.339, \"(-7.32, -7.22)\": -2.288, \"(-7.22, -7.15)\": -2.231, \"(-7.15, -7.06)\": -2.178, \"(-7.06, -6.98)\": -2.126, \"(-6.98, -6.92)\": -2.068, \"(-6.92, -6.85)\": -2.018, \"(-6.85, -6.78)\": -1.935, \"(-6.78, -6.72)\": -1.883, \"(-6.72, -6.66)\": -1.832, \"(-6.66, -6.61)\": -1.78, \"(-6.61, -6.56)\": -1.73, \"(-6.56, -6.52)\": -1.68, \"(-6.52, -6.45)\": -1.63, \"(-6.45, -6.38)\": -1.569, \"(-6.38, -6.32)\": -1.506, \"(-6.32, -6.27)\": -1.445, \"(-6.27, -6.2)\": -1.381, \"(-6.2, -6.12)\": -1.301, \"(-6.12, -6.07)\": -1.246, \"(-6.07, -6.01)\": -1.187, \"(-6.01, -5.95)\": -1.121, \"(-5.95, -5.89)\": -1.066, \"(-5.89, -5.83)\": -1.002, \"(-5.83, -5.77)\": -0.948, \"(-5.77, -5.7)\": -0.886, \"(-5.7, -5.61)\": -0.819, \"(-5.61, -5.53)\": -0.764, \"(-5.53, -5.45)\": -0.698, \"(-5.45, -5.38)\": -0.647, \"(-5.38, -5.27)\": -0.592, \"(-5.27, -5.16)\": -0.529, \"(-5.16, -4.97)\": -0.463, \"(-4.97, -4.21)\": -0.406, \"(-4.21, -4.08)\": -0.477, \"(-4.08, -4.0)\": -0.526, \"(-4.0, -3.92)\": -0.576, \"(-3.92, -3.84)\": -0.629, \"(-3.84, -3.76)\": -0.681, \"(-3.76, -3.68)\": -0.74, \"(-3.68, -3.62)\": -0.798, \"(-3.62, -3.52)\": -0.853, \"(-3.52, -3.44)\": -0.945, \"(-3.44, -3.36)\": -1.011, \"(-3.36, -3.29)\": -1.081, \"(-3.29, -3.17)\": -1.174, \"(-3.17, -3.11)\": -1.246, \"(-3.11, -3.04)\": -1.298, \"(-3.04, -2.97)\": -1.365, \"(-2.97, -2.89)\": -1.443, \"(-2.89, -2.83)\": -1.493, \"(-2.83, -2.77)\": -1.545, \"(-2.77, -2.67)\": -1.622, \"(-2.67, -2.59)\": -1.683, \"(-2.59, -2.5)\": -1.738, \"(-2.5, -2.42)\": -1.795, \"(-2.42, -2.33)\": -1.846, \"(-2.33, -2.22)\": -1.9, \"(-2.22, -2.07)\": -1.95, \"(-2.07, -1.45)\": -2.0, \"(-1.45, -1.33)\": -1.95, \"(-1.33, -1.22)\": -1.884, \"(-1.22, -1.09)\": -1.771, \"(-1.09, -1.0)\": -1.691, \"(-1.0, -0.93)\": -1.59, \"(-0.93, -0.86)\": -1.537, \"(-0.86, -0.81)\": -1.462, \"(-0.81, -0.77)\": -1.395, \"(-0.77, -0.74)\": -1.341, \"(-0.74, -0.67)\": -1.286, \"(-0.67, -0.56)\": -1.135, \"(-0.56, -0.51)\": -1.01, \"(-0.51, -0.47)\": -0.948, \"(-0.47, -0.43)\": -0.888, \"(-0.43, -0.37)\": -0.768, \"(-0.37, -0.35)\": -0.712, \"(-0.35, -0.3)\": -0.65, \"(-0.3, -0.25)\": -0.544, \"(-0.25, -0.22)\": -0.482, \"(-0.22, -0.18)\": -0.407, \"(-0.18, -0.16)\": -0.348, \"(-0.16, -0.12)\": -0.274, \"(-0.12, -0.09)\": -0.221, \"(-0.09, -0.04)\": -0.115, \"(-0.04, -0.01)\": -0.059, \"(-0.01, 0.04)\": 0.029, \"(0.04, 0.09)\": 0.083, \"(0.09, 0.19)\": 0.268, \"(0.19, 0.27)\": 0.47, \"(0.27, 0.32)\": 0.557, \"(0.32, 0.35)\": 0.627, \"(0.35, 0.39)\": 0.707, \"(0.39, 0.43)\": 0.774, \"(0.43, 0.5)\": 0.867, \"(0.5, 0.56)\": 0.994, \"(0.56, 0.6)\": 1.053, \"(0.6, 0.66)\": 1.143, \"(0.66, 0.7)\": 1.228, \"(0.7, 0.75)\": 1.277, \"(0.75, 0.8)\": 1.339, \"(0.8, 0.83)\": 1.4, \"(0.83, 0.9)\": 1.472, \"(0.9, 0.95)\": 1.53, \"(0.95, 1.0)\": 1.587, \"(1.0, 1.06)\": 1.648, \"(1.06, 1.12)\": 1.704, \"(1.12, 1.2)\": 1.753, \"(1.2, 1.28)\": 1.814, \"(1.28, 1.41)\": 1.884, \"(1.41, 1.55)\": 1.949, \"(1.55, 2.2)\": 1.998, \"(2.2, 2.32)\": 1.945, \"(2.32, 2.41)\": 1.895, \"(2.41, 2.5)\": 1.841, \"(2.5, 2.63)\": 1.76, \"(2.63, 2.72)\": 1.661, \"(2.72, 2.83)\": 1.591, \"(2.83, 2.9)\": 1.516, \"(2.9, 2.95)\": 1.465, \"(2.95, 3.04)\": 1.401, \"(3.04, 3.1)\": 1.333, \"(3.1, 3.18)\": 1.274, \"(3.18, 3.24)\": 1.211, \"(3.24, 3.31)\": 1.158, \"(3.31, 3.36)\": 1.105, \"(3.36, 3.43)\": 1.054, \"(3.43, 3.49)\": 1.002, \"(3.49, 3.55)\": 0.939, \"(3.55, 3.64)\": 0.887, \"(3.64, 3.72)\": 0.808, \"(3.72, 3.81)\": 0.756, \"(3.81, 3.92)\": 0.665, \"(3.92, 3.99)\": 0.615, \"(3.99, 4.1)\": 0.565, \"(4.1, 4.22)\": 0.51, \"(4.22, 4.39)\": 0.45, \"(4.39, 5.06)\": 0.395, \"(5.06, 5.2)\": 0.45, \"(5.2, 5.32)\": 0.505, \"(5.32, 5.4)\": 0.57, \"(5.4, 5.48)\": 0.62, \"(5.48, 5.53)\": 0.678, \"(5.53, 5.62)\": 0.731, \"(5.62, 5.7)\": 0.783, \"(5.7, 5.78)\": 0.863, \"(5.78, 5.84)\": 0.919, \"(5.84, 5.89)\": 0.981, \"(5.89, 5.97)\": 1.038, \"(5.97, 6.03)\": 1.102, \"(6.03, 6.08)\": 1.16, \"(6.08, 6.14)\": 1.22, \"(6.14, 6.18)\": 1.278, \"(6.18, 6.27)\": 1.331, \"(6.27, 6.34)\": 1.431, \"(6.34, 6.4)\": 1.482, \"(6.4, 6.45)\": 1.54, \"(6.45, 6.51)\": 1.601, \"(6.51, 6.56)\": 1.651, \"(6.56, 6.62)\": 1.705, \"(6.62, 6.65)\": 1.758, \"(6.65, 6.74)\": 1.811, \"(6.74, 6.81)\": 1.865, \"(6.81, 6.87)\": 1.928, \"(6.87, 6.93)\": 1.989, \"(6.93, 7.0)\": 2.042, \"(7.0, 7.09)\": 2.094, \"(7.09, 7.22)\": 2.181, \"(7.22, 7.31)\": 2.24, \"(7.31, 7.44)\": 2.296, \"(7.44, 7.62)\": 2.36, \"(7.62, 8.29)\": 2.413, \"(8.29, 8.42)\": 2.352, \"(8.42, 8.51)\": 2.289, \"(8.51, 8.6)\": 2.24, \"(8.6, 8.69)\": 2.184, \"(8.69, 8.8)\": 2.117, \"(8.8, 8.89)\": 2.022, \"(8.89, 8.95)\": 1.97, \"(8.95, 9.04)\": 1.902, \"(9.04, 9.14)\": 1.786, \"(9.14, 9.2)\": 1.734, \"(9.2, 9.24)\": 1.677, \"(9.24, 9.32)\": 1.619, \"(9.32, 9.39)\": 1.558, \"(9.39, 9.46)\": 1.483, \"(9.46, 9.54)\": 1.413, \"(9.54, 9.63)\": 1.325, \"(9.63, 9.69)\": 1.253, \"(9.69, 9.74)\": 1.188, \"(9.74, 9.83)\": 1.127, \"(9.83, 9.9)\": 1.054, \"(9.9, 9.97)\": 0.996}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.87)\": 3.314, \"(-9.87, -9.79)\": 3.286, \"(-9.79, -9.7)\": 3.26, \"(-9.7, -9.59)\": 3.228, \"(-9.59, -9.49)\": 3.187, \"(-9.49, -9.4)\": 3.159, \"(-9.4, -9.31)\": 3.131, \"(-9.31, -9.23)\": 3.099, \"(-9.23, -9.14)\": 3.072, \"(-9.14, -9.04)\": 3.044, \"(-9.04, -8.97)\": 3.012, \"(-8.97, -8.86)\": 2.985, \"(-8.86, -8.77)\": 2.949, \"(-8.77, -8.7)\": 2.916, \"(-8.7, -8.58)\": 2.887, \"(-8.58, -8.47)\": 2.855, \"(-8.47, -8.39)\": 2.825, \"(-8.39, -8.3)\": 2.795, \"(-8.3, -8.22)\": 2.762, \"(-8.22, -8.14)\": 2.735, \"(-8.14, -8.05)\": 2.708, \"(-8.05, -7.97)\": 2.681, \"(-7.97, -7.89)\": 2.653, \"(-7.89, -7.8)\": 2.624, \"(-7.8, -7.7)\": 2.591, \"(-7.7, -7.61)\": 2.564, \"(-7.61, -7.52)\": 2.532, \"(-7.52, -7.42)\": 2.504, \"(-7.42, -7.33)\": 2.473, \"(-7.33, -7.26)\": 2.445, \"(-7.26, -7.18)\": 2.415, \"(-7.18, -7.06)\": 2.387, \"(-7.06, -6.97)\": 2.347, \"(-6.97, -6.86)\": 2.314, \"(-6.86, -6.76)\": 2.279, \"(-6.76, -6.68)\": 2.252, \"(-6.68, -6.54)\": 2.222, \"(-6.54, -6.4)\": 2.16, \"(-6.4, -6.29)\": 2.128, \"(-6.29, -6.21)\": 2.096, \"(-6.21, -6.13)\": 2.067, \"(-6.13, -6.04)\": 2.04, \"(-6.04, -5.94)\": 2.01, \"(-5.94, -5.85)\": 1.977, \"(-5.85, -5.75)\": 1.943, \"(-5.75, -5.63)\": 1.907, \"(-5.63, -5.51)\": 1.87, \"(-5.51, -5.39)\": 1.824, \"(-5.39, -5.3)\": 1.787, \"(-5.3, -5.22)\": 1.761, \"(-5.22, -5.12)\": 1.733, \"(-5.12, -5.04)\": 1.705, \"(-5.04, -4.96)\": 1.676, \"(-4.96, -4.85)\": 1.648, \"(-4.85, -4.76)\": 1.616, \"(-4.76, -4.67)\": 1.581, \"(-4.67, -4.59)\": 1.554, \"(-4.59, -4.49)\": 1.525, \"(-4.49, -4.4)\": 1.493, \"(-4.4, -4.31)\": 1.463, \"(-4.31, -4.24)\": 1.436, \"(-4.24, -4.15)\": 1.408, \"(-4.15, -4.06)\": 1.377, \"(-4.06, -3.97)\": 1.35, \"(-3.97, -3.9)\": 1.323, \"(-3.9, -3.79)\": 1.295, \"(-3.79, -3.7)\": 1.259, \"(-3.7, -3.59)\": 1.231, \"(-3.59, -3.49)\": 1.185, \"(-3.49, -3.39)\": 1.156, \"(-3.39, -3.3)\": 1.129, \"(-3.3, -3.21)\": 1.098, \"(-3.21, -3.12)\": 1.068, \"(-3.12, -3.05)\": 1.037, \"(-3.05, -2.95)\": 1.008, \"(-2.95, -2.86)\": 0.981, \"(-2.86, -2.77)\": 0.95, \"(-2.77, -2.68)\": 0.923, \"(-2.68, -2.59)\": 0.894, \"(-2.59, -2.49)\": 0.86, \"(-2.49, -2.36)\": 0.824, \"(-2.36, -2.26)\": 0.796, \"(-2.26, -2.15)\": 0.767, \"(-2.15, -1.99)\": 0.74, \"(-1.99, -1.62)\": 0.714, \"(-1.62, -1.54)\": 0.743, \"(-1.54, -1.49)\": 0.773, \"(-1.49, -1.42)\": 0.805, \"(-1.42, -1.38)\": 0.845, \"(-1.38, -1.33)\": 0.89, \"(-1.33, -1.3)\": 0.92, \"(-1.3, -1.26)\": 0.953, \"(-1.26, -1.22)\": 0.999, \"(-1.22, -1.16)\": 1.05, \"(-1.16, -1.1)\": 1.15, \"(-1.1, -1.07)\": 1.205, \"(-1.07, -1.04)\": 1.246, \"(-1.04, -1.02)\": 1.278, \"(-1.02, -0.98)\": 1.312, \"(-0.98, -0.94)\": 1.42, \"(-0.94, -0.92)\": 1.45, \"(-0.92, -0.9)\": 1.484, \"(-0.9, -0.87)\": 1.528, \"(-0.87, -0.84)\": 1.609, \"(-0.84, -0.81)\": 1.64, \"(-0.81, -0.77)\": 1.724, \"(-0.77, -0.75)\": 1.763, \"(-0.75, -0.72)\": 1.8, \"(-0.72, -0.7)\": 1.875, \"(-0.7, -0.69)\": 1.906, \"(-0.69, -0.67)\": 1.94, \"(-0.67, -0.65)\": 1.982, \"(-0.65, -0.61)\": 2.029, \"(-0.61, -0.58)\": 2.12, \"(-0.58, -0.56)\": 2.153, \"(-0.56, -0.54)\": 2.189, \"(-0.54, -0.51)\": 2.248, \"(-0.51, -0.48)\": 2.284, \"(-0.48, -0.45)\": 2.359, \"(-0.45, -0.4)\": 2.392, \"(-0.4, -0.37)\": 2.475, \"(-0.37, -0.33)\": 2.517, \"(-0.33, -0.26)\": 2.578, \"(-0.26, -0.19)\": 2.652, \"(-0.19, 0.19)\": 2.699, \"(0.19, 0.26)\": 2.672, \"(0.26, 0.31)\": 2.592, \"(0.31, 0.35)\": 2.55, \"(0.35, 0.37)\": 2.502, \"(0.37, 0.45)\": 2.452, \"(0.45, 0.53)\": 2.255, \"(0.53, 0.55)\": 2.226, \"(0.55, 0.57)\": 2.174, \"(0.57, 0.59)\": 2.129, \"(0.59, 0.61)\": 2.088, \"(0.61, 0.63)\": 2.059, \"(0.63, 0.66)\": 2.033, \"(0.66, 0.69)\": 1.939, \"(0.69, 0.72)\": 1.91, \"(0.72, 0.77)\": 1.796, \"(0.77, 0.8)\": 1.746, \"(0.8, 0.81)\": 1.692, \"(0.81, 0.83)\": 1.666, \"(0.83, 0.85)\": 1.637, \"(0.85, 0.89)\": 1.592, \"(0.89, 0.94)\": 1.482, \"(0.94, 0.98)\": 1.405, \"(0.98, 1.02)\": 1.321, \"(1.02, 1.05)\": 1.284, \"(1.05, 1.11)\": 1.23, \"(1.11, 1.16)\": 1.115, \"(1.16, 1.19)\": 1.082, \"(1.19, 1.22)\": 1.054, \"(1.22, 1.26)\": 1.009, \"(1.26, 1.32)\": 0.952, \"(1.32, 1.38)\": 0.893, \"(1.38, 1.42)\": 0.862, \"(1.42, 1.48)\": 0.829, \"(1.48, 1.54)\": 0.791, \"(1.54, 1.63)\": 0.761, \"(1.63, 2.22)\": 0.733, \"(2.22, 2.33)\": 0.759, \"(2.33, 2.44)\": 0.791, \"(2.44, 2.55)\": 0.824, \"(2.55, 2.67)\": 0.867, \"(2.67, 2.76)\": 0.896, \"(2.76, 2.83)\": 0.923, \"(2.83, 2.98)\": 0.967, \"(2.98, 3.09)\": 0.993, \"(3.09, 3.21)\": 1.042, \"(3.21, 3.29)\": 1.071, \"(3.29, 3.34)\": 1.098, \"(3.34, 3.45)\": 1.124, \"(3.45, 3.58)\": 1.157, \"(3.58, 3.69)\": 1.202, \"(3.69, 3.78)\": 1.234, \"(3.78, 3.86)\": 1.262, \"(3.86, 3.95)\": 1.289, \"(3.95, 4.03)\": 1.318, \"(4.03, 4.13)\": 1.346, \"(4.13, 4.27)\": 1.395, \"(4.27, 4.36)\": 1.427, \"(4.36, 4.46)\": 1.456, \"(4.46, 4.53)\": 1.49, \"(4.53, 4.64)\": 1.52, \"(4.64, 4.72)\": 1.55, \"(4.72, 4.81)\": 1.578, \"(4.81, 4.91)\": 1.611, \"(4.91, 4.99)\": 1.638, \"(4.99, 5.08)\": 1.669, \"(5.08, 5.16)\": 1.695, \"(5.16, 5.25)\": 1.723, \"(5.25, 5.33)\": 1.757, \"(5.33, 5.46)\": 1.792, \"(5.46, 5.53)\": 1.819, \"(5.53, 5.62)\": 1.845, \"(5.62, 5.73)\": 1.883, \"(5.73, 5.82)\": 1.916, \"(5.82, 5.92)\": 1.942, \"(5.92, 6.01)\": 1.976, \"(6.01, 6.08)\": 2.004, \"(6.08, 6.17)\": 2.033, \"(6.17, 6.27)\": 2.063, \"(6.27, 6.36)\": 2.093, \"(6.36, 6.43)\": 2.121, \"(6.43, 6.52)\": 2.147, \"(6.52, 6.61)\": 2.176, \"(6.61, 6.7)\": 2.205, \"(6.7, 6.81)\": 2.241, \"(6.81, 6.91)\": 2.277, \"(6.91, 7.01)\": 2.305, \"(7.01, 7.09)\": 2.341, \"(7.09, 7.18)\": 2.373, \"(7.18, 7.28)\": 2.399, \"(7.28, 7.37)\": 2.437, \"(7.37, 7.48)\": 2.466, \"(7.48, 7.58)\": 2.501, \"(7.58, 7.65)\": 2.527, \"(7.65, 7.75)\": 2.555, \"(7.75, 7.83)\": 2.585, \"(7.83, 7.92)\": 2.613, \"(7.92, 8.03)\": 2.642, \"(8.03, 8.1)\": 2.675, \"(8.1, 8.2)\": 2.705, \"(8.2, 8.29)\": 2.734, \"(8.29, 8.37)\": 2.765, \"(8.37, 8.45)\": 2.792, \"(8.45, 8.53)\": 2.82, \"(8.53, 8.63)\": 2.846, \"(8.63, 8.71)\": 2.88, \"(8.71, 8.8)\": 2.906, \"(8.8, 8.89)\": 2.938, \"(8.89, 8.97)\": 2.969, \"(8.97, 9.07)\": 2.996, \"(9.07, 9.15)\": 3.025, \"(9.15, 9.24)\": 3.055, \"(9.24, 9.33)\": 3.083, \"(9.33, 9.42)\": 3.11, \"(9.42, 9.51)\": 3.143, \"(9.51, 9.6)\": 3.175, \"(9.6, 9.69)\": 3.202, \"(9.69, 9.8)\": 3.24, \"(9.8, 9.88)\": 3.27, \"(9.88, 9.98)\": 3.297, \"(9.98, 10.0)\": 3.329}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.96)\": 76762.2, \"(-9.96, -9.95)\": 75826.3, \"(-9.95, -9.92)\": 74501.1, \"(-9.92, -9.9)\": 72352.3, \"(-9.9, -9.89)\": 71545.1, \"(-9.89, -9.86)\": 70589.9, \"(-9.86, -9.83)\": 68904.8, \"(-9.83, -9.8)\": 67406.0, \"(-9.8, -9.78)\": 66299.7, \"(-9.78, -9.76)\": 65251.4, \"(-9.76, -9.74)\": 64255.3, \"(-9.74, -9.71)\": 63153.3, \"(-9.71, -9.67)\": 61481.3, \"(-9.67, -9.64)\": 59819.7, \"(-9.64, -9.62)\": 58864.1, \"(-9.62, -9.6)\": 58094.2, \"(-9.6, -9.56)\": 56863.7, \"(-9.56, -9.52)\": 54777.6, \"(-9.52, -9.48)\": 53718.5, \"(-9.48, -9.45)\": 51928.8, \"(-9.45, -9.42)\": 51156.2, \"(-9.42, -9.39)\": 50275.9, \"(-9.39, -9.36)\": 48774.3, \"(-9.36, -9.31)\": 47849.6, \"(-9.31, -9.27)\": 46019.8, \"(-9.27, -9.24)\": 45048.1, \"(-9.24, -9.2)\": 44105.6, \"(-9.2, -9.18)\": 43202.1, \"(-9.18, -9.12)\": 42291.4, \"(-9.12, -9.07)\": 40595.1, \"(-9.07, -9.01)\": 39726.1, \"(-9.01, -8.94)\": 37459.5, \"(-8.94, -8.9)\": 36449.7, \"(-8.9, -8.86)\": 35523.8, \"(-8.86, -8.82)\": 34709.8, \"(-8.82, -8.77)\": 33793.2, \"(-8.77, -8.71)\": 32831.1, \"(-8.71, -8.62)\": 31553.8, \"(-8.62, -8.53)\": 29741.5, \"(-8.53, -8.45)\": 28577.6, \"(-8.45, -8.39)\": 27344.1, \"(-8.39, -8.31)\": 26410.3, \"(-8.31, -8.25)\": 25638.1, \"(-8.25, -8.18)\": 24769.7, \"(-8.18, -8.09)\": 23915.2, \"(-8.09, -8.03)\": 23144.7, \"(-8.03, -7.95)\": 22297.7, \"(-7.95, -7.85)\": 21471.0, \"(-7.85, -7.78)\": 20459.8, \"(-7.78, -7.61)\": 19638.1, \"(-7.61, -7.51)\": 18780.6, \"(-7.51, -7.38)\": 17823.0, \"(-7.38, -7.21)\": 16937.3, \"(-7.21, -7.07)\": 16031.2, \"(-7.07, -6.89)\": 15191.4, \"(-6.89, -6.71)\": 14370.6, \"(-6.71, -6.5)\": 13563.6, \"(-6.5, -6.27)\": 12769.0, \"(-6.27, -6.04)\": 11991.5, \"(-6.04, -5.75)\": 11223.4, \"(-5.75, -5.47)\": 10376.6, \"(-5.47, -5.18)\": 9580.6, \"(-5.18, -4.84)\": 8777.4, \"(-4.84, -4.49)\": 7970.2, \"(-4.49, -4.12)\": 7193.5, \"(-4.12, -3.75)\": 6409.5, \"(-3.75, -3.37)\": 5614.4, \"(-3.37, -3.0)\": 4824.7, \"(-3.0, -2.63)\": 4041.4, \"(-2.63, -2.22)\": 3260.8, \"(-2.22, -1.84)\": 2459.3, \"(-1.84, -1.44)\": 1663.4, \"(-1.44, -0.21)\": 852.4, \"(-0.21, 0.19)\": 1621.4, \"(0.19, 0.61)\": 2438.7, \"(0.61, 1.04)\": 3335.7, \"(1.04, 1.43)\": 4109.2, \"(1.43, 1.83)\": 4884.6, \"(1.83, 2.22)\": 5680.0, \"(2.22, 2.62)\": 6478.2, \"(2.62, 3.0)\": 7255.7, \"(3.0, 3.4)\": 8037.9, \"(3.4, 3.79)\": 8809.3, \"(3.79, 4.18)\": 9617.6, \"(4.18, 4.58)\": 10397.9, \"(4.58, 4.96)\": 11169.9, \"(4.96, 5.37)\": 11961.8, \"(5.37, 5.75)\": 12757.4, \"(5.75, 6.14)\": 13523.9, \"(6.14, 6.57)\": 14321.3, \"(6.57, 6.95)\": 15120.8, \"(6.95, 7.35)\": 15925.7, \"(7.35, 7.73)\": 16706.7, \"(7.73, 8.12)\": 17484.6, \"(8.12, 8.56)\": 18305.9, \"(8.56, 8.92)\": 19074.1, \"(8.92, 9.32)\": 19849.3, \"(9.32, 9.72)\": 20660.9, \"(9.72, 10.0)\": 21449.9}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -9.79)\": 19943.2, \"(-9.79, -9.55)\": 19525.0, \"(-9.55, -9.33)\": 19072.4, \"(-9.33, -9.12)\": 18627.6, \"(-9.12, -8.89)\": 18205.0, \"(-8.89, -8.7)\": 17779.6, \"(-8.7, -8.48)\": 17356.8, \"(-8.48, -8.28)\": 16942.0, \"(-8.28, -8.04)\": 16477.6, \"(-8.04, -7.82)\": 16049.9, \"(-7.82, -7.6)\": 15621.4, \"(-7.6, -7.38)\": 15192.4, \"(-7.38, -7.16)\": 14732.2, \"(-7.16, -6.93)\": 14296.5, \"(-6.93, -6.74)\": 13856.0, \"(-6.74, -6.53)\": 13437.0, \"(-6.53, -6.28)\": 13015.5, \"(-6.28, -6.06)\": 12536.5, \"(-6.06, -5.83)\": 12099.9, \"(-5.83, -5.62)\": 11652.4, \"(-5.62, -5.39)\": 11214.6, \"(-5.39, -5.18)\": 10783.3, \"(-5.18, -4.96)\": 10352.6, \"(-4.96, -4.75)\": 9916.8, \"(-4.75, -4.55)\": 9495.8, \"(-4.55, -4.32)\": 9079.7, \"(-4.32, -4.11)\": 8630.5, \"(-4.11, -3.89)\": 8201.0, \"(-3.89, -3.67)\": 7765.7, \"(-3.67, -3.46)\": 7315.9, \"(-3.46, -3.23)\": 6875.0, \"(-3.23, -2.99)\": 6444.4, \"(-2.99, -2.75)\": 5902.6, \"(-2.75, -2.56)\": 5484.6, \"(-2.56, -2.34)\": 5071.4, \"(-2.34, -2.11)\": 4652.1, \"(-2.11, -1.88)\": 4195.9, \"(-1.88, -1.67)\": 3743.9, \"(-1.67, -1.46)\": 3302.3, \"(-1.46, -1.23)\": 2877.7, \"(-1.23, -1.02)\": 2460.6, \"(-1.02, -0.83)\": 2047.3, \"(-0.83, -0.61)\": 1631.7, \"(-0.61, -0.4)\": 1194.5, \"(-0.4, -0.19)\": 780.1, \"(-0.19, 0.37)\": 319.4, \"(0.37, 0.59)\": 773.4, \"(0.59, 0.8)\": 1189.8, \"(0.8, 1.03)\": 1663.9, \"(1.03, 1.25)\": 2097.3, \"(1.25, 1.45)\": 2524.0, \"(1.45, 1.69)\": 2954.7, \"(1.69, 1.92)\": 3425.7, \"(1.92, 2.07)\": 3862.6, \"(2.07, 2.33)\": 4276.8, \"(2.33, 2.55)\": 4695.1, \"(2.55, 2.78)\": 5160.4, \"(2.78, 3.0)\": 5623.5, \"(3.0, 3.22)\": 6049.0, \"(3.22, 3.44)\": 6495.7, \"(3.44, 3.67)\": 6926.6, \"(3.67, 3.88)\": 7397.5, \"(3.88, 4.08)\": 7811.8, \"(4.08, 4.31)\": 8268.0, \"(4.31, 4.53)\": 8717.7, \"(4.53, 4.72)\": 9157.9, \"(4.72, 4.93)\": 9580.7, \"(4.93, 5.15)\": 10041.3, \"(5.15, 5.36)\": 10516.5, \"(5.36, 5.54)\": 10946.1, \"(5.54, 5.77)\": 11370.6, \"(5.77, 5.98)\": 11875.1, \"(5.98, 6.12)\": 12304.2, \"(6.12, 6.31)\": 12737.9, \"(6.31, 6.45)\": 13188.8, \"(6.45, 6.66)\": 13637.1, \"(6.66, 6.85)\": 14255.1, \"(6.85, 7.0)\": 14689.1, \"(7.0, 7.15)\": 15159.9, \"(7.15, 7.3)\": 15621.2, \"(7.3, 7.44)\": 16109.8, \"(7.44, 7.56)\": 16578.8, \"(7.56, 7.68)\": 17072.3, \"(7.68, 7.79)\": 17506.9, \"(7.79, 7.92)\": 18125.2, \"(7.92, 8.05)\": 18734.7, \"(8.05, 8.15)\": 19312.0, \"(8.15, 8.24)\": 19802.0, \"(8.24, 8.32)\": 20325.4, \"(8.32, 8.39)\": 20784.6, \"(8.39, 8.46)\": 21244.1, \"(8.46, 8.53)\": 21724.2, \"(8.53, 8.6)\": 22156.7, \"(8.6, 8.67)\": 22692.3, \"(8.67, 8.75)\": 23318.1, \"(8.75, 8.81)\": 23900.3, \"(8.81, 8.87)\": 24381.7, \"(8.87, 8.94)\": 24995.0, \"(8.94, 8.99)\": 25580.7, \"(8.99, 9.03)\": 26210.1, \"(9.03, 9.1)\": 26765.2, \"(9.1, 9.16)\": 27537.1, \"(9.16, 9.21)\": 27964.1, \"(9.21, 9.27)\": 28635.3, \"(9.27, 9.32)\": 29290.4, \"(9.32, 9.35)\": 29858.8, \"(9.35, 9.39)\": 30350.9, \"(9.39, 9.44)\": 31205.7, \"(9.44, 9.51)\": 31788.0, \"(9.51, 9.62)\": 33696.6, \"(9.62, 9.68)\": 35037.2, \"(9.68, 9.77)\": 35679.5, \"(9.77, 9.86)\": 38369.7, \"(9.86, 9.89)\": 39147.1, \"(9.89, 9.93)\": 39935.2, \"(9.93, 9.96)\": 40570.9, \"(9.96, 10.0)\": 41304.6}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -0.02)\": -4014.4, \"(-0.02, 0.02)\": -3307.1, \"(0.02, 0.04)\": 3335.1, \"(0.04, 4.81)\": 3842.4, \"(4.81, 6.03)\": 4130.5, \"(6.03, 6.55)\": 4430.9, \"(6.55, 6.89)\": 4727.1, \"(6.89, 7.18)\": 5022.4, \"(7.18, 7.38)\": 5326.1, \"(7.38, 7.56)\": 5627.0, \"(7.56, 7.72)\": 5942.1, \"(7.72, 7.82)\": 6233.0, \"(7.82, 7.97)\": 6564.7, \"(7.97, 8.06)\": 6904.3, \"(8.06, 8.15)\": 7214.2, \"(8.15, 8.23)\": 7521.4, \"(8.23, 8.33)\": 7820.8, \"(8.33, 8.4)\": 8153.8, \"(8.4, 8.47)\": 8474.6, \"(8.47, 8.58)\": 8903.5, \"(8.58, 8.66)\": 9470.1, \"(8.66, 8.73)\": 9804.3, \"(8.73, 8.8)\": 10280.5, \"(8.8, 8.84)\": 10671.8, \"(8.84, 8.91)\": 11120.7, \"(8.91, 8.97)\": 11411.5, \"(8.97, 9.06)\": 12273.1, \"(9.06, 9.1)\": 12727.8, \"(9.1, 9.14)\": 13109.7, \"(9.14, 9.21)\": 13492.2, \"(9.21, 9.26)\": 14207.0, \"(9.26, 9.31)\": 14778.9, \"(9.31, 9.36)\": 15225.2, \"(9.36, 9.39)\": 15772.3, \"(9.39, 9.43)\": 16119.3, \"(9.43, 9.47)\": 16597.3, \"(9.47, 9.51)\": 17255.8, \"(9.51, 9.53)\": 17569.4, \"(9.53, 9.59)\": 17960.8, \"(9.59, 9.66)\": 19289.1, \"(9.66, 9.69)\": 19820.4, \"(9.69, 9.7)\": 20206.3, \"(9.7, 9.74)\": 20599.1, \"(9.74, 9.75)\": 20999.3, \"(9.75, 9.78)\": 21450.9, \"(9.78, 9.81)\": 21859.2, \"(9.81, 9.85)\": 22513.0, \"(9.85, 9.9)\": 23652.1, \"(9.9, 9.99)\": 24677.9}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.95)\": -0.338, \"(-9.95, -9.93)\": -0.373, \"(-9.93, -9.9)\": -0.406, \"(-9.9, -9.88)\": -0.439, \"(-9.88, -9.86)\": -0.468, \"(-9.86, -9.83)\": -0.499, \"(-9.83, -9.79)\": -0.553, \"(-9.79, -9.76)\": -0.587, \"(-9.76, -9.71)\": -0.641, \"(-9.71, -9.67)\": -0.704, \"(-9.67, -9.63)\": -0.752, \"(-9.63, -9.59)\": -0.795, \"(-9.59, -9.55)\": -0.835, \"(-9.55, -9.5)\": -0.887, \"(-9.5, -9.46)\": -0.939, \"(-9.46, -9.43)\": -0.976, \"(-9.43, -9.4)\": -1.008, \"(-9.4, -9.36)\": -1.037, \"(-9.36, -9.31)\": -1.071, \"(-9.31, -9.23)\": -1.138, \"(-9.23, -9.17)\": -1.189, \"(-9.17, -9.12)\": -1.22, \"(-9.12, -9.06)\": -1.256, \"(-9.06, -9.0)\": -1.301, \"(-9.0, -8.92)\": -1.331, \"(-8.92, -8.84)\": -1.361, \"(-8.84, -8.36)\": -1.389, \"(-8.36, -8.27)\": -1.351, \"(-8.27, -8.2)\": -1.304, \"(-8.2, -8.14)\": -1.27, \"(-8.14, -8.07)\": -1.226, \"(-8.07, -8.03)\": -1.193, \"(-8.03, -7.96)\": -1.151, \"(-7.96, -7.9)\": -1.066, \"(-7.9, -7.85)\": -1.023, \"(-7.85, -7.82)\": -0.994, \"(-7.82, -7.8)\": -0.957, \"(-7.8, -7.76)\": -0.927, \"(-7.76, -7.72)\": -0.886, \"(-7.72, -7.67)\": -0.831, \"(-7.67, -7.62)\": -0.787, \"(-7.62, -7.56)\": -0.713, \"(-7.56, -7.51)\": -0.649, \"(-7.51, -7.47)\": -0.585, \"(-7.47, -7.42)\": -0.538, \"(-7.42, -7.38)\": -0.465, \"(-7.38, -7.34)\": -0.422, \"(-7.34, -7.32)\": -0.372, \"(-7.32, -7.28)\": -0.326, \"(-7.28, -7.22)\": -0.241, \"(-7.22, -7.19)\": -0.197, \"(-7.19, -7.14)\": -0.141, \"(-7.14, -7.13)\": -0.104, \"(-7.13, -7.09)\": -0.073, \"(-7.09, -7.05)\": -0.008, \"(-7.05, -7.01)\": 0.04, \"(-7.01, -6.98)\": 0.108, \"(-6.98, -6.95)\": 0.14, \"(-6.95, -6.93)\": 0.171, \"(-6.93, -6.88)\": 0.224, \"(-6.88, -6.83)\": 0.293, \"(-6.83, -6.81)\": 0.345, \"(-6.81, -6.77)\": 0.375, \"(-6.77, -6.73)\": 0.415, \"(-6.73, -6.7)\": 0.49, \"(-6.7, -6.66)\": 0.529, \"(-6.66, -6.62)\": 0.579, \"(-6.62, -6.6)\": 0.619, \"(-6.6, -6.56)\": 0.652, \"(-6.56, -6.51)\": 0.73, \"(-6.51, -6.47)\": 0.769, \"(-6.47, -6.42)\": 0.83, \"(-6.42, -6.39)\": 0.862, \"(-6.39, -6.34)\": 0.909, \"(-6.34, -6.32)\": 0.953, \"(-6.32, -6.28)\": 0.983, \"(-6.28, -6.24)\": 1.013, \"(-6.24, -6.2)\": 1.05, \"(-6.2, -6.15)\": 1.088, \"(-6.15, -6.11)\": 1.135, \"(-6.11, -6.03)\": 1.185, \"(-6.03, -5.99)\": 1.22, \"(-5.99, -5.93)\": 1.256, \"(-5.93, -5.87)\": 1.289, \"(-5.87, -5.8)\": 1.32, \"(-5.8, -5.7)\": 1.358, \"(-5.7, -5.21)\": 1.386, \"(-5.21, -5.13)\": 1.35, \"(-5.13, -5.05)\": 1.303, \"(-5.05, -4.98)\": 1.26, \"(-4.98, -4.94)\": 1.219, \"(-4.94, -4.9)\": 1.19, \"(-4.9, -4.84)\": 1.158, \"(-4.84, -4.78)\": 1.092, \"(-4.78, -4.74)\": 1.059, \"(-4.74, -4.69)\": 1.018, \"(-4.69, -4.64)\": 0.958, \"(-4.64, -4.6)\": 0.904, \"(-4.6, -4.56)\": 0.868, \"(-4.56, -4.52)\": 0.835, \"(-4.52, -4.46)\": 0.759, \"(-4.46, -4.42)\": 0.69, \"(-4.42, -4.38)\": 0.648, \"(-4.38, -4.35)\": 0.616, \"(-4.35, -4.32)\": 0.581, \"(-4.32, -4.29)\": 0.541, \"(-4.29, -4.27)\": 0.495, \"(-4.27, -4.24)\": 0.457, \"(-4.24, -4.21)\": 0.421, \"(-4.21, -4.16)\": 0.375, \"(-4.16, -4.12)\": 0.295, \"(-4.12, -4.08)\": 0.267, \"(-4.08, -4.04)\": 0.174, \"(-4.04, -4.0)\": 0.139, \"(-4.0, -3.97)\": 0.095, \"(-3.97, -3.95)\": 0.06, \"(-3.95, -3.92)\": 0.016, \"(-3.92, -3.89)\": -0.02, \"(-3.89, -3.86)\": -0.066, \"(-3.86, -3.83)\": -0.098, \"(-3.83, -3.78)\": -0.16, \"(-3.78, -3.75)\": -0.229, \"(-3.75, -3.73)\": -0.259, \"(-3.73, -3.68)\": -0.291, \"(-3.68, -3.63)\": -0.391, \"(-3.63, -3.57)\": -0.435, \"(-3.57, -3.53)\": -0.521, \"(-3.53, -3.5)\": -0.559, \"(-3.5, -3.46)\": -0.599, \"(-3.46, -3.39)\": -0.676, \"(-3.39, -3.34)\": -0.76, \"(-3.34, -3.32)\": -0.789, \"(-3.32, -3.27)\": -0.821, \"(-3.27, -3.2)\": -0.915, \"(-3.2, -3.18)\": -0.946, \"(-3.18, -3.14)\": -0.982, \"(-3.14, -3.09)\": -1.013, \"(-3.09, -3.04)\": -1.07, \"(-3.04, -2.99)\": -1.11, \"(-2.99, -2.95)\": -1.15, \"(-2.95, -2.9)\": -1.182, \"(-2.9, -2.82)\": -1.23, \"(-2.82, -2.76)\": -1.272, \"(-2.76, -2.69)\": -1.309, \"(-2.69, -2.58)\": -1.337, \"(-2.58, -2.09)\": -1.391, \"(-2.09, -2.02)\": -1.356, \"(-2.02, -1.95)\": -1.326, \"(-1.95, -1.9)\": -1.295, \"(-1.9, -1.85)\": -1.264, \"(-1.85, -1.78)\": -1.229, \"(-1.78, -1.72)\": -1.171, \"(-1.72, -1.68)\": -1.121, \"(-1.68, -1.62)\": -1.074, \"(-1.62, -1.54)\": -1.035, \"(-1.54, -1.48)\": -0.943, \"(-1.48, -1.46)\": -0.901, \"(-1.46, -1.44)\": -0.873, \"(-1.44, -1.4)\": -0.844, \"(-1.4, -1.37)\": -0.804, \"(-1.37, -1.32)\": -0.773, \"(-1.32, -1.27)\": -0.684, \"(-1.27, -1.23)\": -0.638, \"(-1.23, -1.2)\": -0.59, \"(-1.2, -1.12)\": -0.553, \"(-1.12, -1.05)\": -0.408, \"(-1.05, -1.03)\": -0.373, \"(-1.03, -0.97)\": -0.317, \"(-0.97, -0.9)\": -0.183, \"(-0.9, -0.88)\": -0.152, \"(-0.88, -0.86)\": -0.122, \"(-0.86, -0.83)\": -0.083, \"(-0.83, -0.81)\": -0.052, \"(-0.81, -0.78)\": -0.021, \"(-0.78, -0.75)\": 0.034, \"(-0.75, -0.72)\": 0.072, \"(-0.72, -0.68)\": 0.111, \"(-0.68, -0.64)\": 0.176, \"(-0.64, -0.6)\": 0.217, \"(-0.6, -0.55)\": 0.286, \"(-0.55, -0.5)\": 0.366, \"(-0.5, -0.46)\": 0.419, \"(-0.46, -0.44)\": 0.456, \"(-0.44, -0.41)\": 0.497, \"(-0.41, -0.38)\": 0.53, \"(-0.38, -0.33)\": 0.576, \"(-0.33, -0.29)\": 0.655, \"(-0.29, -0.25)\": 0.69, \"(-0.25, -0.19)\": 0.757, \"(-0.19, -0.15)\": 0.795, \"(-0.15, -0.1)\": 0.868, \"(-0.1, -0.06)\": 0.917, \"(-0.06, -0.02)\": 0.957, \"(-0.02, 0.01)\": 0.986, \"(0.01, 0.05)\": 1.024, \"(0.05, 0.14)\": 1.072, \"(0.14, 0.23)\": 1.158, \"(0.23, 0.34)\": 1.23, \"(0.34, 0.41)\": 1.293, \"(0.41, 0.48)\": 1.323, \"(0.48, 0.58)\": 1.356, \"(0.58, 1.07)\": 1.386, \"(1.07, 1.13)\": 1.347, \"(1.13, 1.23)\": 1.305, \"(1.23, 1.27)\": 1.276, \"(1.27, 1.34)\": 1.231, \"(1.34, 1.38)\": 1.198, \"(1.38, 1.41)\": 1.169, \"(1.41, 1.46)\": 1.136, \"(1.46, 1.5)\": 1.102, \"(1.5, 1.52)\": 1.07, \"(1.52, 1.59)\": 1.041, \"(1.59, 1.64)\": 0.956, \"(1.64, 1.66)\": 0.923, \"(1.66, 1.7)\": 0.885, \"(1.7, 1.74)\": 0.836, \"(1.74, 1.77)\": 0.806, \"(1.77, 1.8)\": 0.768, \"(1.8, 1.83)\": 0.725, \"(1.83, 1.86)\": 0.689, \"(1.86, 1.89)\": 0.657, \"(1.89, 1.92)\": 0.628, \"(1.92, 1.96)\": 0.579, \"(1.96, 1.97)\": 0.541, \"(1.97, 2.02)\": 0.511, \"(2.02, 2.07)\": 0.454, \"(2.07, 2.13)\": 0.352, \"(2.13, 2.18)\": 0.274, \"(2.18, 2.22)\": 0.24, \"(2.22, 2.28)\": 0.153, \"(2.28, 2.33)\": 0.092, \"(2.33, 2.38)\": 0.004, \"(2.38, 2.4)\": -0.043, \"(2.4, 2.45)\": -0.079, \"(2.45, 2.48)\": -0.154, \"(2.48, 2.5)\": -0.187, \"(2.5, 2.53)\": -0.226, \"(2.53, 2.56)\": -0.262, \"(2.56, 2.58)\": -0.297, \"(2.58, 2.61)\": -0.328, \"(2.61, 2.64)\": -0.379, \"(2.64, 2.68)\": -0.413, \"(2.68, 2.74)\": -0.5, \"(2.74, 2.76)\": -0.532, \"(2.76, 2.8)\": -0.578, \"(2.8, 2.82)\": -0.612, \"(2.82, 2.86)\": -0.656, \"(2.86, 2.89)\": -0.699, \"(2.89, 2.93)\": -0.751, \"(2.93, 2.98)\": -0.786, \"(2.98, 3.04)\": -0.861, \"(3.04, 3.09)\": -0.902, \"(3.09, 3.12)\": -0.96, \"(3.12, 3.15)\": -0.992, \"(3.15, 3.2)\": -1.027, \"(3.2, 3.24)\": -1.057, \"(3.24, 3.28)\": -1.097, \"(3.28, 3.31)\": -1.128, \"(3.31, 3.37)\": -1.158, \"(3.37, 3.44)\": -1.221, \"(3.44, 3.5)\": -1.259, \"(3.5, 3.59)\": -1.305, \"(3.59, 3.66)\": -1.337, \"(3.66, 3.79)\": -1.37, \"(3.79, 4.17)\": -1.402, \"(4.17, 4.24)\": -1.372, \"(4.24, 4.3)\": -1.342, \"(4.3, 4.36)\": -1.307, \"(4.36, 4.42)\": -1.278, \"(4.42, 4.5)\": -1.233, \"(4.5, 4.54)\": -1.176, \"(4.54, 4.59)\": -1.147, \"(4.59, 4.62)\": -1.108, \"(4.62, 4.65)\": -1.076, \"(4.65, 4.7)\": -1.045, \"(4.7, 4.74)\": -0.994, \"(4.74, 4.77)\": -0.961, \"(4.77, 4.8)\": -0.926, \"(4.8, 4.85)\": -0.886, \"(4.85, 4.88)\": -0.85, \"(4.88, 4.92)\": -0.806, \"(4.92, 4.97)\": -0.748, \"(4.97, 4.99)\": -0.703, \"(4.99, 5.04)\": -0.668, \"(5.04, 5.08)\": -0.606, \"(5.08, 5.1)\": -0.561, \"(5.1, 5.13)\": -0.532, \"(5.13, 5.16)\": -0.496, \"(5.16, 5.19)\": -0.452, \"(5.19, 5.22)\": -0.415, \"(5.22, 5.27)\": -0.373, \"(5.27, 5.32)\": -0.277, \"(5.32, 5.34)\": -0.248, \"(5.34, 5.36)\": -0.207, \"(5.36, 5.4)\": -0.174, \"(5.4, 5.44)\": -0.117, \"(5.44, 5.47)\": -0.074, \"(5.47, 5.49)\": -0.04, \"(5.49, 5.53)\": 0.018, \"(5.53, 5.56)\": 0.063, \"(5.56, 5.61)\": 0.116, \"(5.61, 5.66)\": 0.2, \"(5.66, 5.69)\": 0.243, \"(5.69, 5.72)\": 0.282, \"(5.72, 5.74)\": 0.324, \"(5.74, 5.78)\": 0.359, \"(5.78, 5.83)\": 0.417, \"(5.83, 5.87)\": 0.481, \"(5.87, 5.91)\": 0.539, \"(5.91, 5.94)\": 0.582, \"(5.94, 5.98)\": 0.629, \"(5.98, 6.03)\": 0.684, \"(6.03, 6.08)\": 0.752, \"(6.08, 6.12)\": 0.804, \"(6.12, 6.15)\": 0.836, \"(6.15, 6.18)\": 0.872, \"(6.18, 6.22)\": 0.918, \"(6.22, 6.25)\": 0.95, \"(6.25, 6.31)\": 0.992, \"(6.31, 6.34)\": 1.039, \"(6.34, 6.37)\": 1.068, \"(6.37, 6.43)\": 1.105, \"(6.43, 6.49)\": 1.145, \"(6.49, 6.54)\": 1.192, \"(6.54, 6.63)\": 1.244, \"(6.63, 6.7)\": 1.287, \"(6.7, 6.78)\": 1.332, \"(6.78, 6.91)\": 1.369, \"(6.91, 7.32)\": 1.398, \"(7.32, 7.43)\": 1.367, \"(7.43, 7.5)\": 1.308, \"(7.5, 7.57)\": 1.278, \"(7.57, 7.6)\": 1.241, \"(7.6, 7.66)\": 1.209, \"(7.66, 7.72)\": 1.158, \"(7.72, 7.76)\": 1.117, \"(7.76, 7.79)\": 1.085, \"(7.79, 7.86)\": 1.031, \"(7.86, 7.91)\": 0.966, \"(7.91, 7.96)\": 0.915, \"(7.96, 8.01)\": 0.844, \"(8.01, 8.07)\": 0.804, \"(8.07, 8.14)\": 0.715, \"(8.14, 8.18)\": 0.66, \"(8.18, 8.22)\": 0.589, \"(8.22, 8.27)\": 0.551, \"(8.27, 8.29)\": 0.51, \"(8.29, 8.33)\": 0.476, \"(8.33, 8.38)\": 0.382, \"(8.38, 8.41)\": 0.346, \"(8.41, 8.44)\": 0.31, \"(8.44, 8.49)\": 0.243, \"(8.49, 8.52)\": 0.189, \"(8.52, 8.55)\": 0.154, \"(8.55, 8.58)\": 0.109, \"(8.58, 8.62)\": 0.071, \"(8.62, 8.67)\": 0.006, \"(8.67, 8.72)\": -0.088, \"(8.72, 8.75)\": -0.139, \"(8.75, 8.79)\": -0.176, \"(8.79, 8.85)\": -0.274, \"(8.85, 8.9)\": -0.325, \"(8.9, 8.93)\": -0.387, \"(8.93, 8.97)\": -0.428, \"(8.97, 9.02)\": -0.491, \"(9.02, 9.04)\": -0.536, \"(9.04, 9.07)\": -0.568, \"(9.07, 9.12)\": -0.611, \"(9.12, 9.18)\": -0.68, \"(9.18, 9.22)\": -0.764, \"(9.22, 9.26)\": -0.797, \"(9.26, 9.31)\": -0.853, \"(9.31, 9.37)\": -0.91, \"(9.37, 9.44)\": -0.958, \"(9.44, 9.49)\": -1.041, \"(9.49, 9.54)\": -1.072, \"(9.54, 9.58)\": -1.122, \"(9.58, 9.62)\": -1.152, \"(9.62, 9.66)\": -1.187, \"(9.66, 9.75)\": -1.221, \"(9.75, 9.84)\": -1.289, \"(9.84, 9.9)\": -1.32, \"(9.9, 9.96)\": -1.349}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.91)\": 0.9613, \"(-9.91, -9.81)\": 0.9715, \"(-9.81, -9.67)\": 0.9825, \"(-9.67, -9.07)\": 0.993, \"(-9.07, -8.96)\": 0.9825, \"(-8.96, -8.86)\": 0.9714, \"(-8.86, -8.79)\": 0.9597, \"(-8.79, -8.72)\": 0.9488, \"(-8.72, -8.65)\": 0.9355, \"(-8.65, -8.59)\": 0.9241, \"(-8.59, -8.54)\": 0.912, \"(-8.54, -8.48)\": 0.9006, \"(-8.48, -8.44)\": 0.8902, \"(-8.44, -8.39)\": 0.8794, \"(-8.39, -8.36)\": 0.8675, \"(-8.36, -8.3)\": 0.8567, \"(-8.3, -8.23)\": 0.8373, \"(-8.23, -8.17)\": 0.8218, \"(-8.17, -8.1)\": 0.7993, \"(-8.1, -8.05)\": 0.783, \"(-8.05, -8.02)\": 0.7717, \"(-8.02, -7.99)\": 0.7602, \"(-7.99, -7.92)\": 0.7426, \"(-7.92, -7.87)\": 0.7256, \"(-7.87, -7.84)\": 0.712, \"(-7.84, -7.81)\": 0.6988, \"(-7.81, -7.75)\": 0.6841, \"(-7.75, -7.71)\": 0.6618, \"(-7.71, -7.68)\": 0.65, \"(-7.68, -7.63)\": 0.6373, \"(-7.63, -7.6)\": 0.6228, \"(-7.6, -7.57)\": 0.6064, \"(-7.57, -7.52)\": 0.5889, \"(-7.52, -7.49)\": 0.5781, \"(-7.49, -7.46)\": 0.5656, \"(-7.46, -7.44)\": 0.553, \"(-7.44, -7.41)\": 0.5399, \"(-7.41, -7.37)\": 0.526, \"(-7.37, -7.34)\": 0.5132, \"(-7.34, -7.3)\": 0.4974, \"(-7.3, -7.25)\": 0.4742, \"(-7.25, -7.21)\": 0.4603, \"(-7.21, -7.18)\": 0.438, \"(-7.18, -7.14)\": 0.4279, \"(-7.14, -7.1)\": 0.4058, \"(-7.1, -7.07)\": 0.3933, \"(-7.07, -7.04)\": 0.3764, \"(-7.04, -7.0)\": 0.3664, \"(-7.0, -6.96)\": 0.3449, \"(-6.96, -6.94)\": 0.3268, \"(-6.94, -6.9)\": 0.3148, \"(-6.9, -6.86)\": 0.2923, \"(-6.86, -6.83)\": 0.2778, \"(-6.83, -6.79)\": 0.259, \"(-6.79, -6.76)\": 0.2453, \"(-6.76, -6.71)\": 0.2208, \"(-6.71, -6.69)\": 0.2087, \"(-6.69, -6.67)\": 0.1979, \"(-6.67, -6.63)\": 0.1867, \"(-6.63, -6.59)\": 0.1625, \"(-6.59, -6.56)\": 0.1467, \"(-6.56, -6.52)\": 0.1353, \"(-6.52, -6.48)\": 0.1099, \"(-6.48, -6.42)\": 0.0876, \"(-6.42, -6.37)\": 0.0549, \"(-6.37, -6.35)\": 0.0394, \"(-6.35, -6.2)\": 0.0251, \"(-6.2, -6.17)\": 0.0462, \"(-6.17, -6.13)\": 0.0626, \"(-6.13, -6.07)\": 0.0828, \"(-6.07, -6.02)\": 0.1217, \"(-6.02, -6.0)\": 0.1348, \"(-6.0, -5.96)\": 0.1499, \"(-5.96, -5.94)\": 0.166, \"(-5.94, -5.92)\": 0.1761, \"(-5.92, -5.89)\": 0.1863, \"(-5.89, -5.87)\": 0.1975, \"(-5.87, -5.84)\": 0.2086, \"(-5.84, -5.8)\": 0.2266, \"(-5.8, -5.77)\": 0.2419, \"(-5.77, -5.72)\": 0.2654, \"(-5.72, -5.67)\": 0.2814, \"(-5.67, -5.62)\": 0.3167, \"(-5.62, -5.6)\": 0.3277, \"(-5.6, -5.56)\": 0.3417, \"(-5.56, -5.5)\": 0.3724, \"(-5.5, -5.48)\": 0.3866, \"(-5.48, -5.44)\": 0.399, \"(-5.44, -5.42)\": 0.4093, \"(-5.42, -5.39)\": 0.4237, \"(-5.39, -5.34)\": 0.4442, \"(-5.34, -5.29)\": 0.4652, \"(-5.29, -5.22)\": 0.4891, \"(-5.22, -5.18)\": 0.5173, \"(-5.18, -5.14)\": 0.5292, \"(-5.14, -5.09)\": 0.5528, \"(-5.09, -5.05)\": 0.571, \"(-5.05, -5.02)\": 0.5854, \"(-5.02, -4.91)\": 0.6085, \"(-4.91, -4.81)\": 0.6597, \"(-4.81, -4.78)\": 0.6765, \"(-4.78, -4.73)\": 0.6865, \"(-4.73, -4.7)\": 0.703, \"(-4.7, -4.67)\": 0.717, \"(-4.67, -4.61)\": 0.7298, \"(-4.61, -4.54)\": 0.756, \"(-4.54, -4.5)\": 0.7683, \"(-4.5, -4.45)\": 0.789, \"(-4.45, -4.4)\": 0.7994, \"(-4.4, -4.33)\": 0.8129, \"(-4.33, -4.26)\": 0.8407, \"(-4.26, -4.19)\": 0.8511, \"(-4.19, -4.12)\": 0.8741, \"(-4.12, -4.04)\": 0.8894, \"(-4.04, -3.99)\": 0.9025, \"(-3.99, -3.95)\": 0.9142, \"(-3.95, -3.86)\": 0.9243, \"(-3.86, -3.78)\": 0.9386, \"(-3.78, -3.69)\": 0.9526, \"(-3.69, -3.61)\": 0.9633, \"(-3.61, -3.51)\": 0.9736, \"(-3.51, -3.35)\": 0.9861, \"(-3.35, -2.8)\": 0.9961, \"(-2.8, -2.68)\": 0.9838, \"(-2.68, -2.6)\": 0.9733, \"(-2.6, -2.51)\": 0.962, \"(-2.51, -2.44)\": 0.9488, \"(-2.44, -2.33)\": 0.938, \"(-2.33, -2.23)\": 0.9085, \"(-2.23, -2.19)\": 0.8977, \"(-2.19, -2.14)\": 0.8867, \"(-2.14, -2.09)\": 0.8756, \"(-2.09, -2.04)\": 0.8636, \"(-2.04, -2.0)\": 0.8512, \"(-2.0, -1.94)\": 0.8385, \"(-1.94, -1.87)\": 0.816, \"(-1.87, -1.82)\": 0.7977, \"(-1.82, -1.78)\": 0.7852, \"(-1.78, -1.74)\": 0.7744, \"(-1.74, -1.7)\": 0.7614, \"(-1.7, -1.66)\": 0.7468, \"(-1.66, -1.62)\": 0.7323, \"(-1.62, -1.57)\": 0.7203, \"(-1.57, -1.53)\": 0.7012, \"(-1.53, -1.49)\": 0.6912, \"(-1.49, -1.46)\": 0.675, \"(-1.46, -1.42)\": 0.662, \"(-1.42, -1.38)\": 0.649, \"(-1.38, -1.35)\": 0.6298, \"(-1.35, -1.31)\": 0.6163, \"(-1.31, -1.26)\": 0.6036, \"(-1.26, -1.22)\": 0.5849, \"(-1.22, -1.19)\": 0.5692, \"(-1.19, -1.15)\": 0.5529, \"(-1.15, -1.12)\": 0.5389, \"(-1.12, -1.07)\": 0.5204, \"(-1.07, -1.03)\": 0.507, \"(-1.03, -0.95)\": 0.4801, \"(-0.95, -0.89)\": 0.4394, \"(-0.89, -0.87)\": 0.4275, \"(-0.87, -0.83)\": 0.4122, \"(-0.83, -0.78)\": 0.3982, \"(-0.78, -0.74)\": 0.371, \"(-0.74, -0.72)\": 0.3591, \"(-0.72, -0.7)\": 0.3479, \"(-0.7, -0.67)\": 0.3377, \"(-0.67, -0.65)\": 0.3271, \"(-0.65, -0.6)\": 0.3135, \"(-0.6, -0.55)\": 0.2802, \"(-0.55, -0.51)\": 0.2636, \"(-0.51, -0.48)\": 0.2451, \"(-0.48, -0.45)\": 0.2345, \"(-0.45, -0.42)\": 0.2179, \"(-0.42, -0.37)\": 0.2052, \"(-0.37, -0.33)\": 0.1755, \"(-0.33, -0.3)\": 0.1612, \"(-0.3, -0.25)\": 0.1408, \"(-0.25, -0.22)\": 0.1225, \"(-0.22, -0.19)\": 0.1029, \"(-0.19, -0.16)\": 0.0928, \"(-0.16, -0.1)\": 0.0767, \"(-0.1, -0.04)\": 0.0322, \"(-0.04, 0.06)\": 0.0168, \"(0.06, 0.09)\": 0.0336, \"(0.09, 0.13)\": 0.0499, \"(0.13, 0.16)\": 0.0721, \"(0.16, 0.18)\": 0.0836, \"(0.18, 0.22)\": 0.0977, \"(0.22, 0.28)\": 0.1119, \"(0.28, 0.32)\": 0.1525, \"(0.32, 0.35)\": 0.1644, \"(0.35, 0.38)\": 0.1747, \"(0.38, 0.4)\": 0.1919, \"(0.4, 0.43)\": 0.2057, \"(0.43, 0.45)\": 0.2207, \"(0.45, 0.5)\": 0.2312, \"(0.5, 0.55)\": 0.2594, \"(0.55, 0.59)\": 0.2801, \"(0.59, 0.62)\": 0.2972, \"(0.62, 0.64)\": 0.3081, \"(0.64, 0.67)\": 0.3225, \"(0.67, 0.7)\": 0.333, \"(0.7, 0.75)\": 0.3581, \"(0.75, 0.79)\": 0.3707, \"(0.79, 0.84)\": 0.3833, \"(0.84, 0.9)\": 0.4269, \"(0.9, 0.94)\": 0.4411, \"(0.94, 0.98)\": 0.4595, \"(0.98, 1.01)\": 0.4748, \"(1.01, 1.04)\": 0.4857, \"(1.04, 1.08)\": 0.5024, \"(1.08, 1.12)\": 0.5238, \"(1.12, 1.14)\": 0.5346, \"(1.14, 1.21)\": 0.5494, \"(1.21, 1.29)\": 0.5848, \"(1.29, 1.32)\": 0.6075, \"(1.32, 1.36)\": 0.6186, \"(1.36, 1.39)\": 0.6313, \"(1.39, 1.42)\": 0.6412, \"(1.42, 1.46)\": 0.6575, \"(1.46, 1.49)\": 0.6708, \"(1.49, 1.53)\": 0.6832, \"(1.53, 1.59)\": 0.7004, \"(1.59, 1.64)\": 0.7209, \"(1.64, 1.69)\": 0.7349, \"(1.69, 1.74)\": 0.753, \"(1.74, 1.79)\": 0.7688, \"(1.79, 1.83)\": 0.7861, \"(1.83, 1.87)\": 0.7964, \"(1.87, 1.9)\": 0.8079, \"(1.9, 1.95)\": 0.8182, \"(1.95, 2.01)\": 0.8287, \"(2.01, 2.08)\": 0.8524, \"(2.08, 2.13)\": 0.8649, \"(2.13, 2.18)\": 0.8763, \"(2.18, 2.25)\": 0.8919, \"(2.25, 2.3)\": 0.9019, \"(2.3, 2.36)\": 0.9137, \"(2.36, 2.43)\": 0.9261, \"(2.43, 2.49)\": 0.9398, \"(2.49, 2.58)\": 0.9501, \"(2.58, 2.68)\": 0.9633, \"(2.68, 2.78)\": 0.9737, \"(2.78, 2.93)\": 0.9841, \"(2.93, 3.47)\": 0.9946, \"(3.47, 3.59)\": 0.9846, \"(3.59, 3.67)\": 0.9741, \"(3.67, 3.77)\": 0.9641, \"(3.77, 3.85)\": 0.9489, \"(3.85, 3.9)\": 0.9376, \"(3.9, 3.96)\": 0.9259, \"(3.96, 4.02)\": 0.9153, \"(4.02, 4.06)\": 0.9047, \"(4.06, 4.11)\": 0.8912, \"(4.11, 4.18)\": 0.8794, \"(4.18, 4.24)\": 0.8653, \"(4.24, 4.27)\": 0.8503, \"(4.27, 4.34)\": 0.8393, \"(4.34, 4.39)\": 0.8207, \"(4.39, 4.43)\": 0.8104, \"(4.43, 4.49)\": 0.7912, \"(4.49, 4.53)\": 0.7756, \"(4.53, 4.59)\": 0.7616, \"(4.59, 4.67)\": 0.7429, \"(4.67, 4.72)\": 0.7118, \"(4.72, 4.75)\": 0.7016, \"(4.75, 4.79)\": 0.6897, \"(4.79, 4.82)\": 0.6738, \"(4.82, 4.86)\": 0.6591, \"(4.86, 4.92)\": 0.6458, \"(4.92, 4.96)\": 0.623, \"(4.96, 5.0)\": 0.611, \"(5.0, 5.04)\": 0.5949, \"(5.04, 5.1)\": 0.5694, \"(5.1, 5.14)\": 0.5503, \"(5.14, 5.17)\": 0.5379, \"(5.17, 5.19)\": 0.5265, \"(5.19, 5.22)\": 0.5162, \"(5.22, 5.26)\": 0.5022, \"(5.26, 5.28)\": 0.4887, \"(5.28, 5.31)\": 0.477, \"(5.31, 5.33)\": 0.4632, \"(5.33, 5.38)\": 0.4495, \"(5.38, 5.44)\": 0.4246, \"(5.44, 5.47)\": 0.406, \"(5.47, 5.51)\": 0.3882, \"(5.51, 5.56)\": 0.3655, \"(5.56, 5.59)\": 0.3458, \"(5.59, 5.63)\": 0.334, \"(5.63, 5.67)\": 0.3111, \"(5.67, 5.71)\": 0.2975, \"(5.71, 5.74)\": 0.2766, \"(5.74, 5.77)\": 0.2625, \"(5.77, 5.81)\": 0.249, \"(5.81, 5.85)\": 0.2204, \"(5.85, 5.91)\": 0.2078, \"(5.91, 5.96)\": 0.1718, \"(5.96, 6.02)\": 0.1467, \"(6.02, 6.05)\": 0.123, \"(6.05, 6.07)\": 0.1124, \"(6.07, 6.09)\": 0.1023, \"(6.09, 6.12)\": 0.0888, \"(6.12, 6.16)\": 0.0774, \"(6.16, 6.2)\": 0.054, \"(6.2, 6.21)\": 0.0401, \"(6.21, 6.24)\": 0.0296, \"(6.24, 6.34)\": 0.0193, \"(6.34, 6.38)\": 0.0384, \"(6.38, 6.44)\": 0.0607, \"(6.44, 6.48)\": 0.0831, \"(6.48, 6.51)\": 0.1047, \"(6.51, 6.55)\": 0.119, \"(6.55, 6.59)\": 0.139, \"(6.59, 6.65)\": 0.1659, \"(6.65, 6.69)\": 0.1946, \"(6.69, 6.73)\": 0.2134, \"(6.73, 6.77)\": 0.2272, \"(6.77, 6.8)\": 0.246, \"(6.8, 6.83)\": 0.2562, \"(6.83, 6.86)\": 0.2794, \"(6.86, 6.9)\": 0.2898, \"(6.9, 6.92)\": 0.3074, \"(6.92, 6.97)\": 0.3201, \"(6.97, 6.99)\": 0.3415, \"(6.99, 7.02)\": 0.3525, \"(7.02, 7.06)\": 0.3676, \"(7.06, 7.1)\": 0.3896, \"(7.1, 7.13)\": 0.4029, \"(7.13, 7.17)\": 0.4129, \"(7.17, 7.25)\": 0.4366, \"(7.25, 7.29)\": 0.4792, \"(7.29, 7.35)\": 0.4904, \"(7.35, 7.43)\": 0.5296, \"(7.43, 7.47)\": 0.5502, \"(7.47, 7.51)\": 0.5662, \"(7.51, 7.54)\": 0.5844, \"(7.54, 7.59)\": 0.5953, \"(7.59, 7.64)\": 0.6168, \"(7.64, 7.68)\": 0.6344, \"(7.68, 7.73)\": 0.6511, \"(7.73, 7.77)\": 0.6659, \"(7.77, 7.81)\": 0.6795, \"(7.81, 7.85)\": 0.6966, \"(7.85, 7.88)\": 0.7066, \"(7.88, 7.91)\": 0.7194, \"(7.91, 7.97)\": 0.7295, \"(7.97, 8.02)\": 0.7507, \"(8.02, 8.08)\": 0.7715, \"(8.08, 8.13)\": 0.7875, \"(8.13, 8.18)\": 0.7995, \"(8.18, 8.22)\": 0.8135, \"(8.22, 8.26)\": 0.8268, \"(8.26, 8.31)\": 0.8387, \"(8.31, 8.35)\": 0.8513, \"(8.35, 8.4)\": 0.8615, \"(8.4, 8.46)\": 0.8736, \"(8.46, 8.51)\": 0.8861, \"(8.51, 8.56)\": 0.897, \"(8.56, 8.63)\": 0.9089, \"(8.63, 8.71)\": 0.9278, \"(8.71, 8.78)\": 0.9386, \"(8.78, 8.85)\": 0.9501, \"(8.85, 8.93)\": 0.9603, \"(8.93, 9.05)\": 0.9722, \"(9.05, 9.2)\": 0.9828, \"(9.2, 9.78)\": 0.9936, \"(9.78, 9.91)\": 0.9818, \"(9.91, 9.99)\": 0.9682}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -9.9)\": 2087.2, \"(-9.9, -9.82)\": 1818.5, \"(-9.82, -9.73)\": 1469.3, \"(-9.73, -9.67)\": 1182.0, \"(-9.67, -9.6)\": 932.1, \"(-9.6, -9.52)\": 657.2, \"(-9.52, -9.45)\": 310.8, \"(-9.45, -9.35)\": 11.0, \"(-9.35, -9.24)\": -400.9, \"(-9.24, -9.14)\": -957.3, \"(-9.14, -9.04)\": -1253.3, \"(-9.04, -8.98)\": -1501.7, \"(-8.98, -8.91)\": -1744.7, \"(-8.91, -8.8)\": -2052.9, \"(-8.8, -8.71)\": -2345.5, \"(-8.71, -8.61)\": -2681.5, \"(-8.61, -8.51)\": -2929.4, \"(-8.51, -8.38)\": -3210.3, \"(-8.38, -8.22)\": -3471.7, \"(-8.22, -7.9)\": -3758.0, \"(-7.9, -7.49)\": -3997.2, \"(-7.49, -7.32)\": -3689.3, \"(-7.32, -7.2)\": -3445.9, \"(-7.2, -7.1)\": -3150.4, \"(-7.1, -7.01)\": -2889.1, \"(-7.01, -6.93)\": -2625.1, \"(-6.93, -6.86)\": -2389.3, \"(-6.86, -6.78)\": -2144.2, \"(-6.78, -6.72)\": -1879.5, \"(-6.72, -6.63)\": -1556.4, \"(-6.63, -6.56)\": -1306.4, \"(-6.56, -6.49)\": -1060.1, \"(-6.49, -6.43)\": -822.0, \"(-6.43, -6.36)\": -522.6, \"(-6.36, -6.29)\": -266.1, \"(-6.29, -6.23)\": -24.5, \"(-6.23, -6.15)\": 318.1, \"(-6.15, -6.09)\": 557.3, \"(-6.09, -5.99)\": 926.1, \"(-5.99, -5.93)\": 1189.7, \"(-5.93, -5.83)\": 1538.0, \"(-5.83, -5.75)\": 1773.4, \"(-5.75, -5.67)\": 2103.6, \"(-5.67, -5.59)\": 2343.9, \"(-5.59, -5.49)\": 2592.2, \"(-5.49, -5.37)\": 2933.4, \"(-5.37, -5.24)\": 3228.4, \"(-5.24, -5.09)\": 3496.3, \"(-5.09, -4.22)\": 3754.5, \"(-4.22, -4.09)\": 3500.8, \"(-4.09, -3.97)\": 3210.1, \"(-3.97, -3.88)\": 2927.8, \"(-3.88, -3.79)\": 2665.4, \"(-3.79, -3.72)\": 2422.7, \"(-3.72, -3.66)\": 2158.1, \"(-3.66, -3.57)\": 1888.9, \"(-3.57, -3.47)\": 1551.7, \"(-3.47, -3.38)\": 1189.4, \"(-3.38, -3.27)\": 810.6, \"(-3.27, -3.17)\": 360.8, \"(-3.17, -3.08)\": -54.6, \"(-3.08, -3.0)\": -346.7, \"(-3.0, -2.93)\": -601.8, \"(-2.93, -2.83)\": -949.7, \"(-2.83, -2.76)\": -1275.4, \"(-2.76, -2.69)\": -1536.5, \"(-2.69, -2.61)\": -1795.7, \"(-2.61, -2.52)\": -2042.4, \"(-2.52, -2.41)\": -2420.6, \"(-2.41, -2.31)\": -2695.7, \"(-2.31, -2.19)\": -3013.4, \"(-2.19, -2.04)\": -3344.8, \"(-2.04, -1.89)\": -3587.7, \"(-1.89, -1.1)\": -3824.0, \"(-1.1, -0.96)\": -3524.3, \"(-0.96, -0.86)\": -3260.6, \"(-0.86, -0.77)\": -3003.0, \"(-0.77, -0.68)\": -2753.8, \"(-0.68, -0.6)\": -2488.9, \"(-0.6, -0.53)\": -2242.9, \"(-0.53, -0.47)\": -1991.7, \"(-0.47, -0.36)\": -1750.9, \"(-0.36, -0.27)\": -1335.0, \"(-0.27, -0.19)\": -1035.7, \"(-0.19, -0.08)\": -587.4, \"(-0.08, -0.02)\": -306.2, \"(-0.02, 0.06)\": 39.8, \"(0.06, 0.13)\": 279.8, \"(0.13, 0.24)\": 600.1, \"(0.24, 0.33)\": 1041.6, \"(0.33, 0.4)\": 1338.9, \"(0.4, 0.46)\": 1588.5, \"(0.46, 0.54)\": 1854.6, \"(0.54, 0.61)\": 2094.9, \"(0.61, 0.7)\": 2350.4, \"(0.7, 0.79)\": 2594.8, \"(0.79, 0.91)\": 2902.9, \"(0.91, 1.05)\": 3202.9, \"(1.05, 1.22)\": 3518.1, \"(1.22, 2.06)\": 3769.4, \"(2.06, 2.19)\": 3530.7, \"(2.19, 2.29)\": 3230.7, \"(2.29, 2.38)\": 2986.0, \"(2.38, 2.45)\": 2744.5, \"(2.45, 2.53)\": 2509.7, \"(2.53, 2.61)\": 2246.9, \"(2.61, 2.71)\": 1924.9, \"(2.71, 2.78)\": 1617.4, \"(2.78, 2.88)\": 1329.2, \"(2.88, 2.96)\": 1030.2, \"(2.96, 3.05)\": 628.7, \"(3.05, 3.13)\": 309.3, \"(3.13, 3.19)\": -15.3, \"(3.19, 3.28)\": -278.7, \"(3.28, 3.38)\": -657.0, \"(3.38, 3.45)\": -966.8, \"(3.45, 3.53)\": -1215.7, \"(3.53, 3.61)\": -1535.5, \"(3.61, 3.69)\": -1821.9, \"(3.69, 3.78)\": -2058.7, \"(3.78, 3.85)\": -2374.2, \"(3.85, 3.96)\": -2643.8, \"(3.96, 4.08)\": -2923.7, \"(4.08, 4.25)\": -3277.9, \"(4.25, 4.46)\": -3538.7, \"(4.46, 5.08)\": -3796.2, \"(5.08, 5.22)\": -3557.3, \"(5.22, 5.35)\": -3281.7, \"(5.35, 5.46)\": -2924.1, \"(5.46, 5.54)\": -2645.9, \"(5.54, 5.64)\": -2358.3, \"(5.64, 5.72)\": -2088.7, \"(5.72, 5.82)\": -1710.9, \"(5.82, 5.88)\": -1435.5, \"(5.88, 5.94)\": -1149.7, \"(5.94, 6.02)\": -890.6, \"(6.02, 6.07)\": -602.8, \"(6.07, 6.13)\": -315.4, \"(6.13, 6.2)\": -70.8, \"(6.2, 6.28)\": 173.8, \"(6.28, 6.34)\": 644.6, \"(6.34, 6.44)\": 918.7, \"(6.44, 6.5)\": 1374.8, \"(6.5, 6.6)\": 1652.3, \"(6.6, 6.69)\": 2174.5, \"(6.69, 6.77)\": 2421.3, \"(6.77, 6.85)\": 2817.5, \"(6.85, 6.91)\": 3098.7, \"(6.91, 6.96)\": 3370.3, \"(6.96, 7.04)\": 3620.0, \"(7.04, 7.12)\": 3988.6, \"(7.12, 7.19)\": 4257.5, \"(7.19, 7.26)\": 4494.7, \"(7.26, 7.34)\": 4764.4, \"(7.34, 7.41)\": 5077.1, \"(7.41, 7.5)\": 5321.5, \"(7.5, 7.58)\": 5599.6, \"(7.58, 7.68)\": 5875.1, \"(7.68, 7.77)\": 6148.5, \"(7.77, 7.87)\": 6383.3, \"(7.87, 7.98)\": 6634.6, \"(7.98, 8.09)\": 6918.1, \"(8.09, 8.2)\": 7161.5, \"(8.2, 8.32)\": 7418.5, \"(8.32, 8.43)\": 7697.6, \"(8.43, 8.53)\": 7960.8, \"(8.53, 8.63)\": 8205.8, \"(8.63, 8.7)\": 8450.0, \"(8.7, 8.79)\": 8703.8, \"(8.79, 8.85)\": 8939.0, \"(8.85, 8.92)\": 9214.7, \"(8.92, 9.0)\": 9489.5, \"(9.0, 9.07)\": 9827.2, \"(9.07, 9.16)\": 10102.4, \"(9.16, 9.26)\": 10848.5, \"(9.26, 9.32)\": 11287.3, \"(9.32, 9.35)\": 11566.3, \"(9.35, 9.39)\": 11830.1, \"(9.39, 9.42)\": 12144.9, \"(9.42, 9.46)\": 12510.8, \"(9.46, 9.51)\": 12770.6, \"(9.51, 9.55)\": 13282.2, \"(9.55, 9.6)\": 13646.1, \"(9.6, 9.64)\": 14267.8, \"(9.64, 9.66)\": 14645.0, \"(9.66, 9.7)\": 14940.3, \"(9.7, 9.74)\": 15620.7, \"(9.74, 9.77)\": 15878.4, \"(9.77, 9.82)\": 16336.3, \"(9.82, 9.88)\": 17300.7, \"(9.88, 9.93)\": 18341.1, \"(9.93, 9.96)\": 18879.0, \"(9.96, 10.0)\": 19420.4}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -9.8)\": 1.023, \"(-9.8, -9.54)\": 1.002, \"(-9.54, -9.48)\": 0.98, \"(-9.48, -9.46)\": 0.953, \"(-9.46, -9.43)\": 0.889, \"(-9.43, -9.4)\": -0.897, \"(-9.4, -9.23)\": -0.968, \"(-9.23, -8.85)\": -0.99, \"(-8.85, -6.78)\": -1.01, \"(-6.78, -6.55)\": -0.989, \"(-6.55, -6.36)\": -0.968, \"(-6.36, -6.32)\": -0.947, \"(-6.32, -6.29)\": -0.877, \"(-6.29, -6.26)\": 0.86, \"(-6.26, -6.23)\": 0.903, \"(-6.23, -6.09)\": 0.947, \"(-6.09, -5.78)\": 0.97, \"(-5.78, -4.76)\": 0.991, \"(-4.76, -3.95)\": 1.013, \"(-3.95, -3.38)\": 0.992, \"(-3.38, -3.16)\": 0.971, \"(-3.16, -3.13)\": 0.637, \"(-3.13, -3.1)\": -0.905, \"(-3.1, -2.7)\": -0.955, \"(-2.7, -2.27)\": -0.978, \"(-2.27, -0.45)\": -1.0, \"(-0.45, -0.13)\": -0.978, \"(-0.13, -0.03)\": -0.957, \"(-0.03, -0.02)\": -0.832, \"(-0.02, -0.0)\": -0.639, \"(-0.0, 0.01)\": 0.816, \"(0.01, 0.05)\": 0.882, \"(0.05, 0.08)\": 0.913, \"(0.08, 0.34)\": 0.949, \"(0.34, 0.8)\": 0.97, \"(0.8, 3.05)\": 0.993, \"(3.05, 3.12)\": 0.97, \"(3.12, 3.15)\": 0.648, \"(3.15, 3.16)\": -0.793, \"(3.16, 3.69)\": -0.972, \"(3.69, 5.94)\": -0.994, \"(5.94, 6.15)\": -0.973, \"(6.15, 6.26)\": -0.949, \"(6.26, 6.29)\": -0.807, \"(6.29, 6.31)\": 0.818, \"(6.31, 6.56)\": 0.949, \"(6.56, 6.82)\": 0.972, \"(6.82, 9.3)\": 0.994, \"(9.3, 9.38)\": 0.968, \"(9.38, 9.39)\": 0.871, \"(9.39, 9.41)\": 0.738, \"(9.41, 9.43)\": -0.845, \"(9.43, 9.67)\": -0.963, \"(9.67, 9.89)\": -0.986, \"(9.89, 9.99)\": -1.01}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -8.6)\": -1.018, \"(-8.6, -8.0)\": -0.998, \"(-8.0, -7.93)\": -0.977, \"(-7.93, -7.9)\": -0.956, \"(-7.9, -7.89)\": -0.918, \"(-7.89, -7.85)\": -0.692, \"(-7.85, -7.8)\": 0.905, \"(-7.8, -7.71)\": 0.948, \"(-7.71, -7.62)\": 0.969, \"(-7.62, -6.42)\": 0.99, \"(-6.42, -5.31)\": 1.011, \"(-5.31, -4.77)\": 0.99, \"(-4.77, -4.73)\": 0.97, \"(-4.73, -4.72)\": 0.578, \"(-4.72, -4.71)\": -0.913, \"(-4.71, -4.61)\": -0.962, \"(-4.61, -3.77)\": -0.982, \"(-3.77, -1.82)\": -1.002, \"(-1.82, -1.62)\": -0.982, \"(-1.62, -1.59)\": -0.958, \"(-1.59, -1.57)\": -0.814, \"(-1.57, -1.56)\": 0.894, \"(-1.56, -1.35)\": 0.962, \"(-1.35, -0.29)\": 0.983, \"(-0.29, 1.28)\": 1.003, \"(1.28, 1.55)\": 0.982, \"(1.55, 1.57)\": 0.959, \"(1.57, 1.6)\": -0.652, \"(1.6, 1.62)\": -0.897, \"(1.62, 1.64)\": -0.933, \"(1.64, 1.96)\": -0.967, \"(1.96, 2.9)\": -0.987, \"(2.9, 4.3)\": -1.008, \"(4.3, 4.68)\": -0.987, \"(4.68, 4.7)\": -0.966, \"(4.7, 4.71)\": -0.903, \"(4.71, 4.74)\": 0.686, \"(4.74, 5.14)\": 0.966, \"(5.14, 5.81)\": 0.986, \"(5.81, 7.46)\": 1.007, \"(7.46, 7.68)\": 0.984, \"(7.68, 7.81)\": 0.959, \"(7.81, 7.85)\": 0.709, \"(7.85, 7.9)\": -0.833, \"(7.9, 7.99)\": -0.952, \"(7.99, 8.26)\": -0.972, \"(8.26, 9.98)\": -0.993, \"(9.98, 10.0)\": -1.017}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.94, -9.83)\": -0.36, \"(-9.83, -9.75)\": -0.322, \"(-9.75, -9.7)\": -0.286, \"(-9.7, -9.64)\": -0.249, \"(-9.64, -9.58)\": -0.192, \"(-9.58, -9.53)\": -0.137, \"(-9.53, -9.47)\": -0.094, \"(-9.47, -9.44)\": -0.037, \"(-9.44, -9.38)\": 0.009, \"(-9.38, -9.35)\": 0.049, \"(-9.35, -9.29)\": 0.092, \"(-9.29, -9.26)\": 0.136, \"(-9.26, -9.19)\": 0.177, \"(-9.19, -9.12)\": 0.226, \"(-9.12, -9.05)\": 0.282, \"(-9.05, -8.96)\": 0.318, \"(-8.96, -8.69)\": 0.36, \"(-8.69, -8.63)\": 0.324, \"(-8.63, -8.58)\": 0.271, \"(-8.58, -8.52)\": 0.225, \"(-8.52, -8.47)\": 0.158, \"(-8.47, -8.43)\": 0.103, \"(-8.43, -8.39)\": 0.046, \"(-8.39, -8.35)\": -0.005, \"(-8.35, -8.33)\": -0.055, \"(-8.33, -8.31)\": -0.093, \"(-8.31, -8.27)\": -0.132, \"(-8.27, -8.23)\": -0.21, \"(-8.23, -8.21)\": -0.263, \"(-8.21, -8.18)\": -0.309, \"(-8.18, -8.16)\": -0.345, \"(-8.16, -8.12)\": -0.416, \"(-8.12, -8.07)\": -0.5, \"(-8.07, -8.05)\": -0.559, \"(-8.05, -8.03)\": -0.601, \"(-8.03, -7.99)\": -0.666, \"(-7.99, -7.97)\": -0.745, \"(-7.97, -7.95)\": -0.787, \"(-7.95, -7.93)\": -0.825, \"(-7.93, -7.9)\": -0.869, \"(-7.9, -7.87)\": -0.918, \"(-7.87, -7.85)\": -0.979, \"(-7.85, -7.82)\": -1.022, \"(-7.82, -7.79)\": -1.102, \"(-7.79, -7.76)\": -1.144, \"(-7.76, -7.74)\": -1.205, \"(-7.74, -7.71)\": -1.245, \"(-7.71, -7.67)\": -1.289, \"(-7.67, -7.6)\": -1.402, \"(-7.6, -7.56)\": -1.478, \"(-7.56, -7.52)\": -1.525, \"(-7.52, -7.48)\": -1.573, \"(-7.48, -7.41)\": -1.648, \"(-7.41, -7.34)\": -1.688, \"(-7.34, -7.04)\": -1.734, \"(-7.04, -6.96)\": -1.643, \"(-6.96, -6.91)\": -1.575, \"(-6.91, -6.88)\": -1.519, \"(-6.88, -6.85)\": -1.483, \"(-6.85, -6.82)\": -1.443, \"(-6.82, -6.78)\": -1.372, \"(-6.78, -6.75)\": -1.304, \"(-6.75, -6.72)\": -1.249, \"(-6.72, -6.7)\": -1.175, \"(-6.7, -6.67)\": -1.125, \"(-6.67, -6.65)\": -1.057, \"(-6.65, -6.63)\": -1.009, \"(-6.63, -6.61)\": -0.953, \"(-6.61, -6.58)\": -0.899, \"(-6.58, -6.55)\": -0.829, \"(-6.55, -6.52)\": -0.741, \"(-6.52, -6.51)\": -0.689, \"(-6.51, -6.49)\": -0.638, \"(-6.49, -6.48)\": -0.592, \"(-6.48, -6.45)\": -0.548, \"(-6.45, -6.42)\": -0.461, \"(-6.42, -6.37)\": -0.333, \"(-6.37, -6.33)\": -0.181, \"(-6.33, -6.3)\": -0.1, \"(-6.3, -6.27)\": 0.008, \"(-6.27, -6.26)\": 0.047, \"(-6.26, -6.23)\": 0.114, \"(-6.23, -6.22)\": 0.168, \"(-6.22, -6.19)\": 0.217, \"(-6.19, -6.16)\": 0.356, \"(-6.16, -6.13)\": 0.392, \"(-6.13, -6.12)\": 0.47, \"(-6.12, -6.09)\": 0.523, \"(-6.09, -6.06)\": 0.583, \"(-6.06, -6.03)\": 0.669, \"(-6.03, -6.01)\": 0.771, \"(-6.01, -5.98)\": 0.826, \"(-5.98, -5.96)\": 0.9, \"(-5.96, -5.93)\": 0.937, \"(-5.93, -5.91)\": 0.998, \"(-5.91, -5.88)\": 1.045, \"(-5.88, -5.85)\": 1.149, \"(-5.85, -5.83)\": 1.195, \"(-5.83, -5.78)\": 1.269, \"(-5.78, -5.72)\": 1.368, \"(-5.72, -5.66)\": 1.491, \"(-5.66, -5.63)\": 1.549, \"(-5.63, -5.58)\": 1.593, \"(-5.58, -5.56)\": 1.639, \"(-5.56, -5.5)\": 1.675, \"(-5.5, -5.43)\": 1.711, \"(-5.43, -5.2)\": 1.747, \"(-5.2, -5.15)\": 1.704, \"(-5.15, -5.12)\": 1.666, \"(-5.12, -5.06)\": 1.628, \"(-5.06, -5.02)\": 1.567, \"(-5.02, -4.99)\": 1.51, \"(-4.99, -4.95)\": 1.465, \"(-4.95, -4.9)\": 1.422, \"(-4.9, -4.85)\": 1.299, \"(-4.85, -4.82)\": 1.254, \"(-4.82, -4.78)\": 1.182, \"(-4.78, -4.75)\": 1.123, \"(-4.75, -4.74)\": 1.082, \"(-4.74, -4.69)\": 1.016, \"(-4.69, -4.63)\": 0.894, \"(-4.63, -4.59)\": 0.799, \"(-4.59, -4.57)\": 0.751, \"(-4.57, -4.55)\": 0.701, \"(-4.55, -4.53)\": 0.661, \"(-4.53, -4.5)\": 0.596, \"(-4.5, -4.47)\": 0.531, \"(-4.47, -4.43)\": 0.474, \"(-4.43, -4.39)\": 0.388, \"(-4.39, -4.36)\": 0.35, \"(-4.36, -4.33)\": 0.257, \"(-4.33, -4.3)\": 0.217, \"(-4.3, -4.27)\": 0.163, \"(-4.27, -4.23)\": 0.112, \"(-4.23, -4.17)\": 0.017, \"(-4.17, -4.13)\": -0.033, \"(-4.13, -4.07)\": -0.127, \"(-4.07, -4.04)\": -0.163, \"(-4.04, -3.97)\": -0.204, \"(-3.97, -3.86)\": -0.287, \"(-3.86, -3.52)\": -0.352, \"(-3.52, -3.46)\": -0.315, \"(-3.46, -3.38)\": -0.256, \"(-3.38, -3.31)\": -0.192, \"(-3.31, -3.26)\": -0.157, \"(-3.26, -3.21)\": -0.106, \"(-3.21, -3.14)\": -0.037, \"(-3.14, -3.07)\": 0.039, \"(-3.07, -3.03)\": 0.082, \"(-3.03, -2.97)\": 0.119, \"(-2.97, -2.93)\": 0.181, \"(-2.93, -2.85)\": 0.217, \"(-2.85, -2.78)\": 0.275, \"(-2.78, -2.7)\": 0.311, \"(-2.7, -2.38)\": 0.348, \"(-2.38, -2.3)\": 0.295, \"(-2.3, -2.24)\": 0.218, \"(-2.24, -2.2)\": 0.182, \"(-2.2, -2.16)\": 0.127, \"(-2.16, -2.1)\": 0.05, \"(-2.1, -2.06)\": -0.022, \"(-2.06, -2.02)\": -0.081, \"(-2.02, -2.0)\": -0.117, \"(-2.0, -1.97)\": -0.163, \"(-1.97, -1.92)\": -0.233, \"(-1.92, -1.87)\": -0.334, \"(-1.87, -1.83)\": -0.413, \"(-1.83, -1.79)\": -0.518, \"(-1.79, -1.77)\": -0.572, \"(-1.77, -1.75)\": -0.613, \"(-1.75, -1.72)\": -0.653, \"(-1.72, -1.69)\": -0.72, \"(-1.69, -1.68)\": -0.762, \"(-1.68, -1.65)\": -0.801, \"(-1.65, -1.62)\": -0.871, \"(-1.62, -1.6)\": -0.921, \"(-1.6, -1.59)\": -0.964, \"(-1.59, -1.54)\": -1.001, \"(-1.54, -1.48)\": -1.136, \"(-1.48, -1.43)\": -1.211, \"(-1.43, -1.37)\": -1.327, \"(-1.37, -1.34)\": -1.394, \"(-1.34, -1.31)\": -1.435, \"(-1.31, -1.27)\": -1.476, \"(-1.27, -1.22)\": -1.53, \"(-1.22, -1.17)\": -1.607, \"(-1.17, -1.13)\": -1.647, \"(-1.13, -1.07)\": -1.69, \"(-1.07, -0.77)\": -1.733, \"(-0.77, -0.72)\": -1.674, \"(-0.72, -0.67)\": -1.623, \"(-0.67, -0.63)\": -1.578, \"(-0.63, -0.58)\": -1.516, \"(-0.58, -0.54)\": -1.431, \"(-0.54, -0.51)\": -1.372, \"(-0.51, -0.48)\": -1.325, \"(-0.48, -0.44)\": -1.23, \"(-0.44, -0.41)\": -1.178, \"(-0.41, -0.39)\": -1.117, \"(-0.39, -0.37)\": -1.051, \"(-0.37, -0.35)\": -1.005, \"(-0.35, -0.31)\": -0.951, \"(-0.31, -0.25)\": -0.8, \"(-0.25, -0.21)\": -0.657, \"(-0.21, -0.2)\": -0.607, \"(-0.2, -0.16)\": -0.545, \"(-0.16, -0.12)\": -0.396, \"(-0.12, -0.11)\": -0.335, \"(-0.11, -0.08)\": -0.299, \"(-0.08, -0.05)\": -0.2, \"(-0.05, -0.03)\": -0.139, \"(-0.03, -0.02)\": -0.092, \"(-0.02, -0.01)\": -0.057, \"(-0.01, 0.01)\": -0.021, \"(0.01, 0.04)\": 0.038, \"(0.04, 0.07)\": 0.17, \"(0.07, 0.1)\": 0.253, \"(0.1, 0.11)\": 0.32, \"(0.11, 0.14)\": 0.362, \"(0.14, 0.17)\": 0.461, \"(0.17, 0.19)\": 0.507, \"(0.19, 0.21)\": 0.587, \"(0.21, 0.24)\": 0.65, \"(0.24, 0.27)\": 0.736, \"(0.27, 0.3)\": 0.819, \"(0.3, 0.32)\": 0.868, \"(0.32, 0.36)\": 0.965, \"(0.36, 0.39)\": 1.054, \"(0.39, 0.43)\": 1.122, \"(0.43, 0.46)\": 1.207, \"(0.46, 0.51)\": 1.272, \"(0.51, 0.58)\": 1.378, \"(0.58, 0.65)\": 1.52, \"(0.65, 0.7)\": 1.594, \"(0.7, 0.73)\": 1.642, \"(0.73, 0.8)\": 1.684, \"(0.8, 1.09)\": 1.739, \"(1.09, 1.14)\": 1.703, \"(1.14, 1.21)\": 1.654, \"(1.21, 1.26)\": 1.565, \"(1.26, 1.33)\": 1.494, \"(1.33, 1.37)\": 1.424, \"(1.37, 1.42)\": 1.326, \"(1.42, 1.45)\": 1.262, \"(1.45, 1.49)\": 1.197, \"(1.49, 1.5)\": 1.157, \"(1.5, 1.55)\": 1.107, \"(1.55, 1.59)\": 0.988, \"(1.59, 1.62)\": 0.933, \"(1.62, 1.65)\": 0.873, \"(1.65, 1.68)\": 0.787, \"(1.68, 1.71)\": 0.751, \"(1.71, 1.73)\": 0.709, \"(1.73, 1.76)\": 0.649, \"(1.76, 1.78)\": 0.597, \"(1.78, 1.83)\": 0.542, \"(1.83, 1.89)\": 0.384, \"(1.89, 1.91)\": 0.338, \"(1.91, 1.96)\": 0.281, \"(1.96, 1.99)\": 0.195, \"(1.99, 2.01)\": 0.156, \"(2.01, 2.03)\": 0.114, \"(2.03, 2.07)\": 0.069, \"(2.07, 2.12)\": 0.006, \"(2.12, 2.19)\": -0.068, \"(2.19, 2.24)\": -0.156, \"(2.24, 2.28)\": -0.195, \"(2.28, 2.34)\": -0.232, \"(2.34, 2.44)\": -0.289, \"(2.44, 2.76)\": -0.351, \"(2.76, 2.82)\": -0.316, \"(2.82, 2.88)\": -0.278, \"(2.88, 2.93)\": -0.238, \"(2.93, 2.98)\": -0.193, \"(2.98, 3.03)\": -0.151, \"(3.03, 3.09)\": -0.098, \"(3.09, 3.16)\": -0.022, \"(3.16, 3.23)\": 0.036, \"(3.23, 3.3)\": 0.117, \"(3.3, 3.38)\": 0.191, \"(3.38, 3.43)\": 0.229, \"(3.43, 3.49)\": 0.27, \"(3.49, 3.6)\": 0.31, \"(3.6, 3.86)\": 0.361, \"(3.86, 3.93)\": 0.323, \"(3.93, 4.01)\": 0.28, \"(4.01, 4.05)\": 0.203, \"(4.05, 4.11)\": 0.161, \"(4.11, 4.19)\": 0.037, \"(4.19, 4.23)\": -0.022, \"(4.23, 4.25)\": -0.075, \"(4.25, 4.29)\": -0.117, \"(4.29, 4.34)\": -0.208, \"(4.34, 4.39)\": -0.299, \"(4.39, 4.41)\": -0.365, \"(4.41, 4.44)\": -0.404, \"(4.44, 4.48)\": -0.467, \"(4.48, 4.53)\": -0.553, \"(4.53, 4.57)\": -0.689, \"(4.57, 4.59)\": -0.725, \"(4.59, 4.62)\": -0.762, \"(4.62, 4.65)\": -0.85, \"(4.65, 4.68)\": -0.892, \"(4.68, 4.71)\": -0.945, \"(4.71, 4.75)\": -1.045, \"(4.75, 4.78)\": -1.092, \"(4.78, 4.81)\": -1.15, \"(4.81, 4.85)\": -1.216, \"(4.85, 4.89)\": -1.304, \"(4.89, 4.95)\": -1.372, \"(4.95, 5.0)\": -1.464, \"(5.0, 5.05)\": -1.515, \"(5.05, 5.12)\": -1.608, \"(5.12, 5.16)\": -1.649, \"(5.16, 5.21)\": -1.686, \"(5.21, 5.32)\": -1.722, \"(5.32, 5.48)\": -1.759, \"(5.48, 5.53)\": -1.715, \"(5.53, 5.62)\": -1.658, \"(5.62, 5.7)\": -1.513, \"(5.7, 5.74)\": -1.445, \"(5.74, 5.78)\": -1.35, \"(5.78, 5.82)\": -1.297, \"(5.82, 5.84)\": -1.208, \"(5.84, 5.89)\": -1.17, \"(5.89, 5.98)\": -0.975, \"(5.98, 6.02)\": -0.785, \"(6.02, 6.04)\": -0.747, \"(6.04, 6.09)\": -0.686, \"(6.09, 6.19)\": -0.4, \"(6.19, 6.23)\": -0.204, \"(6.23, 6.26)\": -0.146, \"(6.26, 6.3)\": -0.005, \"(6.3, 6.32)\": 0.068, \"(6.32, 6.33)\": 0.119, \"(6.33, 6.35)\": 0.185, \"(6.35, 6.37)\": 0.22, \"(6.37, 6.39)\": 0.287, \"(6.39, 6.42)\": 0.369, \"(6.42, 6.46)\": 0.464, \"(6.46, 6.49)\": 0.533, \"(6.49, 6.53)\": 0.674, \"(6.53, 6.56)\": 0.749, \"(6.56, 6.61)\": 0.848, \"(6.61, 6.65)\": 0.967, \"(6.65, 6.67)\": 1.048, \"(6.67, 6.69)\": 1.106, \"(6.69, 6.75)\": 1.185, \"(6.75, 6.8)\": 1.329, \"(6.8, 6.82)\": 1.366, \"(6.82, 6.85)\": 1.405, \"(6.85, 6.89)\": 1.47, \"(6.89, 6.93)\": 1.54, \"(6.93, 6.96)\": 1.58, \"(6.96, 7.03)\": 1.627, \"(7.03, 7.09)\": 1.691, \"(7.09, 7.4)\": 1.729, \"(7.4, 7.47)\": 1.678, \"(7.47, 7.53)\": 1.594, \"(7.53, 7.58)\": 1.534, \"(7.58, 7.61)\": 1.474, \"(7.61, 7.63)\": 1.431, \"(7.63, 7.65)\": 1.392, \"(7.65, 7.68)\": 1.352, \"(7.68, 7.73)\": 1.296, \"(7.73, 7.78)\": 1.178, \"(7.78, 7.82)\": 1.131, \"(7.82, 7.87)\": 1.009, \"(7.87, 7.9)\": 0.952, \"(7.9, 7.93)\": 0.869, \"(7.93, 7.96)\": 0.816, \"(7.96, 8.01)\": 0.75, \"(8.01, 8.05)\": 0.641, \"(8.05, 8.07)\": 0.603, \"(8.07, 8.1)\": 0.535, \"(8.1, 8.15)\": 0.493, \"(8.15, 8.21)\": 0.324, \"(8.21, 8.24)\": 0.279, \"(8.24, 8.26)\": 0.225, \"(8.26, 8.3)\": 0.189, \"(8.3, 8.34)\": 0.103, \"(8.34, 8.36)\": 0.062, \"(8.36, 8.4)\": -0.001, \"(8.4, 8.44)\": -0.056, \"(8.44, 8.52)\": -0.138, \"(8.52, 8.57)\": -0.189, \"(8.57, 8.62)\": -0.242, \"(8.62, 8.66)\": -0.282, \"(8.66, 8.77)\": -0.321, \"(8.77, 9.04)\": -0.359, \"(9.04, 9.11)\": -0.316, \"(9.11, 9.15)\": -0.27, \"(9.15, 9.23)\": -0.228, \"(9.23, 9.31)\": -0.161, \"(9.31, 9.37)\": -0.092, \"(9.37, 9.4)\": -0.048, \"(9.4, 9.45)\": -0.013, \"(9.45, 9.51)\": 0.035, \"(9.51, 9.58)\": 0.108, \"(9.58, 9.66)\": 0.172, \"(9.66, 9.73)\": 0.243, \"(9.73, 9.79)\": 0.284, \"(9.79, 9.91)\": 0.328, \"(9.91, 9.97)\": 0.363}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -9.97)\": 6104.5, \"(-9.97, -9.93)\": 6007.9, \"(-9.93, -9.88)\": 5921.3, \"(-9.88, -9.83)\": 5827.6, \"(-9.83, -9.78)\": 5678.9, \"(-9.78, -9.73)\": 5535.0, \"(-9.73, -9.67)\": 5427.1, \"(-9.67, -9.63)\": 5335.7, \"(-9.63, -9.59)\": 5229.9, \"(-9.59, -9.53)\": 5125.3, \"(-9.53, -9.49)\": 5024.0, \"(-9.49, -9.46)\": 4944.5, \"(-9.46, -9.41)\": 4862.1, \"(-9.41, -9.36)\": 4768.2, \"(-9.36, -9.3)\": 4635.8, \"(-9.3, -9.24)\": 4521.1, \"(-9.24, -9.17)\": 4398.8, \"(-9.17, -9.13)\": 4311.9, \"(-9.13, -9.09)\": 4223.6, \"(-9.09, -9.04)\": 4138.0, \"(-9.04, -9.01)\": 4055.5, \"(-9.01, -8.95)\": 3971.1, \"(-8.95, -8.9)\": 3885.3, \"(-8.9, -8.84)\": 3778.7, \"(-8.84, -8.78)\": 3690.5, \"(-8.78, -8.72)\": 3572.9, \"(-8.72, -8.67)\": 3466.6, \"(-8.67, -8.6)\": 3385.1, \"(-8.6, -8.53)\": 3290.3, \"(-8.53, -8.48)\": 3202.0, \"(-8.48, -8.43)\": 3122.9, \"(-8.43, -8.37)\": 3040.9, \"(-8.37, -8.29)\": 2949.2, \"(-8.29, -8.21)\": 2814.2, \"(-8.21, -8.14)\": 2727.3, \"(-8.14, -8.08)\": 2635.6, \"(-8.08, -8.03)\": 2557.8, \"(-8.03, -7.95)\": 2473.0, \"(-7.95, -7.88)\": 2386.9, \"(-7.88, -7.82)\": 2292.1, \"(-7.82, -7.71)\": 2188.1, \"(-7.71, -7.63)\": 2109.8, \"(-7.63, -7.56)\": 2016.7, \"(-7.56, -7.48)\": 1937.0, \"(-7.48, -7.39)\": 1841.3, \"(-7.39, -7.3)\": 1757.9, \"(-7.3, -7.22)\": 1677.9, \"(-7.22, -7.14)\": 1597.3, \"(-7.14, -7.04)\": 1506.4, \"(-7.04, -6.94)\": 1429.4, \"(-6.94, -6.85)\": 1347.1, \"(-6.85, -6.74)\": 1264.2, \"(-6.74, -6.61)\": 1176.5, \"(-6.61, -6.49)\": 1092.9, \"(-6.49, -6.34)\": 1003.2, \"(-6.34, -6.24)\": 920.9, \"(-6.24, -6.06)\": 824.5, \"(-6.06, -5.86)\": 732.1, \"(-5.86, -5.7)\": 654.8, \"(-5.7, -5.47)\": 573.8, \"(-5.47, -5.27)\": 491.6, \"(-5.27, -4.99)\": 404.9, \"(-4.99, -4.65)\": 316.4, \"(-4.65, -4.24)\": 233.2, \"(-4.24, -3.64)\": 156.6, \"(-3.64, -1.2)\": 76.2, \"(-1.2, 0.56)\": -0.1, \"(0.56, 1.24)\": -76.6, \"(1.24, 1.81)\": -154.5, \"(1.81, 2.24)\": -232.1, \"(2.24, 2.64)\": -310.3, \"(2.64, 3.02)\": -388.7, \"(3.02, 3.37)\": -470.7, \"(3.37, 3.7)\": -551.4, \"(3.7, 4.0)\": -634.6, \"(4.0, 4.31)\": -716.3, \"(4.31, 4.59)\": -796.6, \"(4.59, 4.9)\": -873.2, \"(4.9, 5.17)\": -953.7, \"(5.17, 5.51)\": -1038.2, \"(5.51, 5.81)\": -1116.8, \"(5.81, 6.14)\": -1194.3, \"(6.14, 6.54)\": -1276.7, \"(6.54, 7.0)\": -1356.0, \"(7.0, 9.12)\": -1436.6, \"(9.12, 9.38)\": -1358.4, \"(9.38, 9.58)\": -1276.9, \"(9.58, 9.77)\": -1195.7, \"(9.77, 9.94)\": -1115.2, \"(9.94, 9.98)\": -1021.5}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.92)\": -5507.9, \"(-9.92, -9.85)\": -5293.4, \"(-9.85, -9.81)\": -5177.9, \"(-9.81, -9.76)\": -5098.0, \"(-9.76, -9.71)\": -4999.9, \"(-9.71, -9.65)\": -4874.7, \"(-9.65, -9.61)\": -4764.6, \"(-9.61, -9.57)\": -4672.9, \"(-9.57, -9.52)\": -4598.0, \"(-9.52, -9.47)\": -4482.5, \"(-9.47, -9.43)\": -4384.3, \"(-9.43, -9.38)\": -4303.4, \"(-9.38, -9.34)\": -4219.4, \"(-9.34, -9.28)\": -4097.4, \"(-9.28, -9.22)\": -4016.0, \"(-9.22, -9.17)\": -3903.1, \"(-9.17, -9.11)\": -3794.3, \"(-9.11, -9.05)\": -3697.8, \"(-9.05, -8.98)\": -3584.8, \"(-8.98, -8.93)\": -3480.1, \"(-8.93, -8.86)\": -3402.0, \"(-8.86, -8.8)\": -3283.9, \"(-8.8, -8.75)\": -3193.9, \"(-8.75, -8.69)\": -3102.0, \"(-8.69, -8.63)\": -3024.1, \"(-8.63, -8.57)\": -2940.6, \"(-8.57, -8.51)\": -2845.5, \"(-8.51, -8.47)\": -2770.0, \"(-8.47, -8.42)\": -2689.2, \"(-8.42, -8.28)\": -2580.3, \"(-8.28, -8.18)\": -2397.9, \"(-8.18, -8.1)\": -2303.3, \"(-8.1, -8.02)\": -2203.3, \"(-8.02, -7.93)\": -2085.9, \"(-7.93, -7.85)\": -2005.0, \"(-7.85, -7.77)\": -1929.9, \"(-7.77, -7.68)\": -1844.4, \"(-7.68, -7.58)\": -1714.5, \"(-7.58, -7.5)\": -1636.8, \"(-7.5, -7.38)\": -1556.3, \"(-7.38, -7.27)\": -1416.3, \"(-7.27, -7.16)\": -1338.4, \"(-7.16, -7.07)\": -1260.9, \"(-7.07, -6.99)\": -1184.5, \"(-6.99, -6.84)\": -1103.4, \"(-6.84, -6.71)\": -1003.1, \"(-6.71, -6.56)\": -922.2, \"(-6.56, -6.41)\": -816.2, \"(-6.41, -6.27)\": -740.9, \"(-6.27, -6.13)\": -664.3, \"(-6.13, -5.95)\": -589.0, \"(-5.95, -5.78)\": -513.4, \"(-5.78, -5.53)\": -435.8, \"(-5.53, -5.26)\": -340.0, \"(-5.26, -4.95)\": -265.1, \"(-4.95, -4.59)\": -184.9, \"(-4.59, -3.94)\": -110.0, \"(-3.94, -0.04)\": -33.3, \"(-0.04, 0.86)\": 41.7, \"(0.86, 1.4)\": 116.7, \"(1.4, 1.85)\": 191.8, \"(1.85, 2.23)\": 269.3, \"(2.23, 2.56)\": 344.9, \"(2.56, 2.88)\": 422.1, \"(2.88, 3.18)\": 504.8, \"(3.18, 3.45)\": 580.1, \"(3.45, 3.71)\": 658.3, \"(3.71, 3.96)\": 739.7, \"(3.96, 4.22)\": 814.7, \"(4.22, 4.43)\": 891.1, \"(4.43, 4.69)\": 969.6, \"(4.69, 4.9)\": 1050.8, \"(4.9, 5.14)\": 1125.5, \"(5.14, 5.4)\": 1202.4, \"(5.4, 5.62)\": 1288.8, \"(5.62, 5.87)\": 1364.8, \"(5.87, 6.13)\": 1444.7, \"(6.13, 6.41)\": 1525.7, \"(6.41, 6.71)\": 1609.8, \"(6.71, 7.01)\": 1689.6, \"(7.01, 7.38)\": 1764.4, \"(7.38, 7.86)\": 1841.7, \"(7.86, 9.44)\": 1916.9, \"(9.44, 9.71)\": 1826.9, \"(9.71, 9.92)\": 1751.2}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -4.08)\": 1.006, \"(-4.08, -3.97)\": 0.986, \"(-3.97, -3.94)\": 0.917, \"(-3.94, -3.87)\": 0.808, \"(-3.87, -3.82)\": -0.767, \"(-3.82, -3.74)\": -0.964, \"(-3.74, 0.09)\": -0.986, \"(0.09, 3.67)\": -1.006, \"(3.67, 3.86)\": -0.98, \"(3.86, 3.87)\": -0.96, \"(3.87, 3.9)\": -0.755, \"(3.9, 3.94)\": 0.835, \"(3.94, 4.22)\": 0.967, \"(4.22, 10.0)\": 0.988}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.96, -9.86)\": 78.59, \"(-9.86, -9.81)\": 76.87, \"(-9.81, -9.76)\": 76.02, \"(-9.76, -9.71)\": 75.17, \"(-9.71, -9.65)\": 74.14, \"(-9.65, -9.6)\": 72.89, \"(-9.6, -9.56)\": 71.88, \"(-9.56, -9.49)\": 71.08, \"(-9.49, -9.45)\": 70.17, \"(-9.45, -9.39)\": 69.02, \"(-9.39, -9.34)\": 67.86, \"(-9.34, -9.27)\": 66.82, \"(-9.27, -9.21)\": 65.68, \"(-9.21, -9.13)\": 64.23, \"(-9.13, -9.07)\": 63.29, \"(-9.07, -9.0)\": 62.01, \"(-9.0, -8.91)\": 60.27, \"(-8.91, -8.83)\": 58.93, \"(-8.83, -8.76)\": 57.42, \"(-8.76, -8.7)\": 56.59, \"(-8.7, -8.65)\": 55.66, \"(-8.65, -8.59)\": 54.8, \"(-8.59, -8.52)\": 53.38, \"(-8.52, -8.46)\": 52.43, \"(-8.46, -8.4)\": 51.26, \"(-8.4, -8.33)\": 50.4, \"(-8.33, -8.27)\": 49.12, \"(-8.27, -8.21)\": 48.31, \"(-8.21, -8.17)\": 47.51, \"(-8.17, -8.13)\": 46.7, \"(-8.13, -8.07)\": 45.74, \"(-8.07, -7.99)\": 44.74, \"(-7.99, -7.92)\": 43.68, \"(-7.92, -7.86)\": 42.57, \"(-7.86, -7.8)\": 41.6, \"(-7.8, -7.74)\": 40.8, \"(-7.74, -7.66)\": 39.58, \"(-7.66, -7.59)\": 38.46, \"(-7.59, -7.54)\": 37.5, \"(-7.54, -7.47)\": 36.42, \"(-7.47, -7.38)\": 35.6, \"(-7.38, -7.33)\": 34.39, \"(-7.33, -7.28)\": 33.53, \"(-7.28, -7.2)\": 32.64, \"(-7.2, -7.16)\": 31.76, \"(-7.16, -7.09)\": 30.77, \"(-7.09, -6.99)\": 29.75, \"(-6.99, -6.94)\": 28.94, \"(-6.94, -6.88)\": 28.12, \"(-6.88, -6.82)\": 27.23, \"(-6.82, -6.76)\": 26.3, \"(-6.76, -6.68)\": 25.51, \"(-6.68, -6.64)\": 24.51, \"(-6.64, -6.55)\": 23.62, \"(-6.55, -6.47)\": 22.71, \"(-6.47, -6.4)\": 21.71, \"(-6.4, -6.33)\": 20.88, \"(-6.33, -6.26)\": 20.04, \"(-6.26, -6.2)\": 19.17, \"(-6.2, -6.13)\": 18.28, \"(-6.13, -6.03)\": 17.16, \"(-6.03, -5.95)\": 16.28, \"(-5.95, -5.88)\": 15.18, \"(-5.88, -5.78)\": 14.31, \"(-5.78, -5.67)\": 13.12, \"(-5.67, -5.6)\": 12.13, \"(-5.6, -5.52)\": 11.16, \"(-5.52, -5.42)\": 10.16, \"(-5.42, -5.32)\": 9.12, \"(-5.32, -5.23)\": 8.18, \"(-5.23, -5.15)\": 7.32, \"(-5.15, -5.06)\": 6.51, \"(-5.06, -4.95)\": 5.33, \"(-4.95, -4.86)\": 4.33, \"(-4.86, -4.75)\": 3.4, \"(-4.75, -4.66)\": 2.44, \"(-4.66, -4.57)\": 1.65, \"(-4.57, -4.3)\": 0.74, \"(-4.3, -4.21)\": 1.63, \"(-4.21, -4.1)\": 2.48, \"(-4.1, -4.0)\": 3.27, \"(-4.0, -3.89)\": 4.12, \"(-3.89, -3.77)\": 4.95, \"(-3.77, -3.66)\": 5.8, \"(-3.66, -3.53)\": 6.72, \"(-3.53, -3.43)\": 7.62, \"(-3.43, -3.3)\": 8.47, \"(-3.3, -3.15)\": 9.29, \"(-3.15, -3.01)\": 10.11, \"(-3.01, -2.84)\": 11.12, \"(-2.84, -2.68)\": 12.0, \"(-2.68, -2.52)\": 12.84, \"(-2.52, -2.34)\": 13.72, \"(-2.34, -2.15)\": 14.58, \"(-2.15, -1.96)\": 15.38, \"(-1.96, -1.73)\": 16.24, \"(-1.73, -1.46)\": 17.03, \"(-1.46, -1.15)\": 17.87, \"(-1.15, -0.67)\": 18.72, \"(-0.67, 1.13)\": 19.52, \"(1.13, 1.44)\": 18.7, \"(1.44, 1.71)\": 17.9, \"(1.71, 1.94)\": 17.03, \"(1.94, 2.14)\": 16.17, \"(2.14, 2.38)\": 15.33, \"(2.38, 2.59)\": 14.04, \"(2.59, 2.75)\": 13.22, \"(2.75, 2.91)\": 12.35, \"(2.91, 3.04)\": 11.45, \"(3.04, 3.2)\": 10.55, \"(3.2, 3.35)\": 9.43, \"(3.35, 3.49)\": 8.61, \"(3.49, 3.61)\": 7.73, \"(3.61, 3.73)\": 6.93, \"(3.73, 3.88)\": 5.86, \"(3.88, 3.98)\": 4.9, \"(3.98, 4.15)\": 3.8, \"(4.15, 4.28)\": 2.54, \"(4.28, 4.38)\": 1.69, \"(4.38, 4.65)\": 0.77, \"(4.65, 4.72)\": 1.57, \"(4.72, 4.81)\": 2.39, \"(4.81, 4.9)\": 3.24, \"(4.9, 5.0)\": 4.11, \"(5.0, 5.12)\": 5.08, \"(5.12, 5.25)\": 6.68, \"(5.25, 5.37)\": 7.9, \"(5.37, 5.45)\": 8.87, \"(5.45, 5.54)\": 9.81, \"(5.54, 5.62)\": 10.78, \"(5.62, 5.67)\": 11.58, \"(5.67, 5.74)\": 12.38, \"(5.74, 5.82)\": 13.19, \"(5.82, 5.9)\": 14.03, \"(5.9, 6.01)\": 15.18, \"(6.01, 6.09)\": 16.26, \"(6.09, 6.14)\": 17.27, \"(6.14, 6.24)\": 18.14, \"(6.24, 6.3)\": 19.12, \"(6.3, 6.4)\": 20.04, \"(6.4, 6.46)\": 21.01, \"(6.46, 6.52)\": 21.87, \"(6.52, 6.61)\": 22.72, \"(6.61, 6.68)\": 23.8, \"(6.68, 6.77)\": 24.83, \"(6.77, 6.85)\": 25.95, \"(6.85, 6.93)\": 27.26, \"(6.93, 7.02)\": 28.1, \"(7.02, 7.11)\": 29.67, \"(7.11, 7.18)\": 30.64, \"(7.18, 7.24)\": 31.58, \"(7.24, 7.31)\": 32.67, \"(7.31, 7.38)\": 33.5, \"(7.38, 7.43)\": 34.47, \"(7.43, 7.48)\": 35.5, \"(7.48, 7.56)\": 36.33, \"(7.56, 7.62)\": 37.22, \"(7.62, 7.68)\": 38.19, \"(7.68, 7.76)\": 39.25, \"(7.76, 7.81)\": 40.42, \"(7.81, 7.89)\": 41.25, \"(7.89, 7.95)\": 42.41, \"(7.95, 8.01)\": 43.58, \"(8.01, 8.08)\": 44.45, \"(8.08, 8.14)\": 45.46, \"(8.14, 8.18)\": 46.38, \"(8.18, 8.25)\": 47.25, \"(8.25, 8.3)\": 48.21, \"(8.3, 8.35)\": 49.05, \"(8.35, 8.43)\": 49.87, \"(8.43, 8.5)\": 51.53, \"(8.5, 8.55)\": 52.35, \"(8.55, 8.61)\": 53.31, \"(8.61, 8.65)\": 54.37, \"(8.65, 8.71)\": 55.16, \"(8.71, 8.78)\": 56.14, \"(8.78, 8.85)\": 57.32, \"(8.85, 8.9)\": 58.59, \"(8.9, 8.96)\": 59.39, \"(8.96, 9.02)\": 60.45, \"(9.02, 9.06)\": 61.43, \"(9.06, 9.11)\": 62.27, \"(9.11, 9.14)\": 63.11, \"(9.14, 9.2)\": 63.97, \"(9.2, 9.27)\": 65.46, \"(9.27, 9.32)\": 66.36, \"(9.32, 9.38)\": 67.23, \"(9.38, 9.45)\": 68.22, \"(9.45, 9.5)\": 69.41, \"(9.5, 9.56)\": 70.79, \"(9.56, 9.6)\": 71.77, \"(9.6, 9.66)\": 72.65, \"(9.66, 9.71)\": 73.52, \"(9.71, 9.75)\": 74.38, \"(9.75, 9.81)\": 75.25, \"(9.81, 9.86)\": 76.51, \"(9.86, 9.91)\": 77.32, \"(9.91, 9.96)\": 78.4, \"(9.96, 10.0)\": 79.44}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.39)\": 1.2574, \"(-9.39, -8.92)\": 1.251, \"(-8.92, -8.48)\": 1.2444, \"(-8.48, -8.05)\": 1.238, \"(-8.05, -7.65)\": 1.2316, \"(-7.65, -7.22)\": 1.2251, \"(-7.22, -6.84)\": 1.2184, \"(-6.84, -6.5)\": 1.212, \"(-6.5, -6.16)\": 1.2055, \"(-6.16, -5.86)\": 1.1991, \"(-5.86, -5.49)\": 1.1925, \"(-5.49, -5.16)\": 1.1846, \"(-5.16, -4.86)\": 1.1779, \"(-4.86, -4.61)\": 1.1713, \"(-4.61, -4.36)\": 1.1645, \"(-4.36, -4.1)\": 1.158, \"(-4.1, -3.88)\": 1.1511, \"(-3.88, -3.65)\": 1.1447, \"(-3.65, -3.42)\": 1.1372, \"(-3.42, -3.23)\": 1.1305, \"(-3.23, -3.06)\": 1.1241, \"(-3.06, -2.88)\": 1.1177, \"(-2.88, -2.71)\": 1.111, \"(-2.71, -2.54)\": 1.1041, \"(-2.54, -2.38)\": 1.0972, \"(-2.38, -2.24)\": 1.0901, \"(-2.24, -2.08)\": 1.0827, \"(-2.08, -1.95)\": 1.0757, \"(-1.95, -1.82)\": 1.0686, \"(-1.82, -1.69)\": 1.06, \"(-1.69, -1.59)\": 1.0536, \"(-1.59, -1.46)\": 1.046, \"(-1.46, -1.36)\": 1.0365, \"(-1.36, -1.27)\": 1.03, \"(-1.27, -1.19)\": 1.0235, \"(-1.19, -1.12)\": 1.0167, \"(-1.12, -1.03)\": 1.0092, \"(-1.03, -0.94)\": 1.0014, \"(-0.94, -0.87)\": 0.9927, \"(-0.87, -0.76)\": 0.9854, \"(-0.76, -0.67)\": 0.9665, \"(-0.67, -0.62)\": 0.9598, \"(-0.62, -0.56)\": 0.9504, \"(-0.56, -0.51)\": 0.9413, \"(-0.51, -0.46)\": 0.9293, \"(-0.46, -0.42)\": 0.9208, \"(-0.42, -0.35)\": 0.9118, \"(-0.35, -0.3)\": 0.8963, \"(-0.3, -0.26)\": 0.8824, \"(-0.26, -0.24)\": 0.869, \"(-0.24, -0.21)\": 0.8624, \"(-0.21, -0.18)\": 0.848, \"(-0.18, -0.16)\": 0.8415, \"(-0.16, -0.14)\": 0.8275, \"(-0.14, -0.1)\": 0.8156, \"(-0.1, -0.04)\": 0.7609, \"(-0.04, -0.01)\": 0.658, \"(-0.01, -0.0)\": 0.6308, \"(-0.0, 0.01)\": 0.6212, \"(0.01, 0.05)\": 0.6801, \"(0.05, 0.09)\": 0.7643, \"(0.09, 0.13)\": 0.8057, \"(0.13, 0.16)\": 0.8262, \"(0.16, 0.18)\": 0.8329, \"(0.18, 0.19)\": 0.8417, \"(0.19, 0.21)\": 0.8499, \"(0.21, 0.24)\": 0.8601, \"(0.24, 0.28)\": 0.8737, \"(0.28, 0.31)\": 0.882, \"(0.31, 0.33)\": 0.8922, \"(0.33, 0.38)\": 0.9003, \"(0.38, 0.43)\": 0.9125, \"(0.43, 0.48)\": 0.9218, \"(0.48, 0.52)\": 0.9325, \"(0.52, 0.58)\": 0.9409, \"(0.58, 0.64)\": 0.9484, \"(0.64, 0.72)\": 0.9614, \"(0.72, 0.77)\": 0.9689, \"(0.77, 0.84)\": 0.9756, \"(0.84, 0.91)\": 0.9832, \"(0.91, 0.99)\": 0.9928, \"(0.99, 1.03)\": 0.9998, \"(1.03, 1.13)\": 1.0064, \"(1.13, 1.22)\": 1.0131, \"(1.22, 1.3)\": 1.0205, \"(1.3, 1.41)\": 1.0283, \"(1.41, 1.52)\": 1.0363, \"(1.52, 1.65)\": 1.0446, \"(1.65, 1.78)\": 1.0526, \"(1.78, 1.9)\": 1.0592, \"(1.9, 2.01)\": 1.0664, \"(2.01, 2.14)\": 1.073, \"(2.14, 2.29)\": 1.0798, \"(2.29, 2.47)\": 1.0876, \"(2.47, 2.63)\": 1.0959, \"(2.63, 2.81)\": 1.1025, \"(2.81, 2.99)\": 1.1098, \"(2.99, 3.21)\": 1.1172, \"(3.21, 3.4)\": 1.1237, \"(3.4, 3.6)\": 1.1302, \"(3.6, 3.85)\": 1.1368, \"(3.85, 4.05)\": 1.1439, \"(4.05, 4.28)\": 1.1505, \"(4.28, 4.54)\": 1.1569, \"(4.54, 4.77)\": 1.1634, \"(4.77, 5.08)\": 1.1699, \"(5.08, 5.39)\": 1.177, \"(5.39, 5.71)\": 1.184, \"(5.71, 6.04)\": 1.1906, \"(6.04, 6.37)\": 1.197, \"(6.37, 6.75)\": 1.2036, \"(6.75, 7.1)\": 1.2101, \"(7.1, 7.48)\": 1.2166, \"(7.48, 7.92)\": 1.2233, \"(7.92, 8.3)\": 1.2298, \"(8.3, 8.79)\": 1.2363, \"(8.79, 9.24)\": 1.2427, \"(9.24, 9.74)\": 1.2493, \"(9.74, 9.99)\": 1.2557}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.95)\": 1.524, \"(-9.95, -9.91)\": 1.492, \"(-9.91, -9.88)\": 1.436, \"(-9.88, -9.86)\": 1.404, \"(-9.86, -9.83)\": 1.368, \"(-9.83, -9.81)\": 1.334, \"(-9.81, -9.79)\": 1.281, \"(-9.79, -9.77)\": 1.225, \"(-9.77, -9.74)\": 1.138, \"(-9.74, -9.69)\": 1.102, \"(-9.69, -9.63)\": 0.829, \"(-9.63, -9.63)\": 0.784, \"(-9.63, -9.62)\": 0.752, \"(-9.62, -9.58)\": 0.709, \"(-9.58, -9.55)\": 0.542, \"(-9.55, -9.53)\": 0.448, \"(-9.53, -9.52)\": 0.381, \"(-9.52, -9.5)\": 0.349, \"(-9.5, -9.48)\": 0.254, \"(-9.48, -9.46)\": 0.212, \"(-9.46, -9.45)\": 0.133, \"(-9.45, -9.43)\": 0.067, \"(-9.43, -9.43)\": 0.021, \"(-9.43, -9.4)\": -0.018, \"(-9.4, -9.38)\": -0.142, \"(-9.38, -9.36)\": -0.229, \"(-9.36, -9.35)\": -0.281, \"(-9.35, -9.33)\": -0.342, \"(-9.33, -9.33)\": -0.373, \"(-9.33, -9.3)\": -0.417, \"(-9.3, -9.28)\": -0.557, \"(-9.28, -9.27)\": -0.588, \"(-9.27, -9.26)\": -0.629, \"(-9.26, -9.23)\": -0.671, \"(-9.23, -9.18)\": -0.823, \"(-9.18, -9.14)\": -0.998, \"(-9.14, -9.12)\": -1.031, \"(-9.12, -9.1)\": -1.108, \"(-9.1, -9.07)\": -1.183, \"(-9.07, -9.06)\": -1.236, \"(-9.06, -9.03)\": -1.269, \"(-9.03, -9.0)\": -1.329, \"(-9.0, -8.97)\": -1.398, \"(-8.97, -8.94)\": -1.44, \"(-8.94, -8.89)\": -1.484, \"(-8.89, -8.69)\": -1.519, \"(-8.69, -8.66)\": -1.467, \"(-8.66, -8.62)\": -1.419, \"(-8.62, -8.58)\": -1.354, \"(-8.58, -8.56)\": -1.303, \"(-8.56, -8.51)\": -1.236, \"(-8.51, -8.46)\": -1.116, \"(-8.46, -8.42)\": -1.05, \"(-8.42, -8.38)\": -0.909, \"(-8.38, -8.35)\": -0.833, \"(-8.35, -8.31)\": -0.766, \"(-8.31, -8.27)\": -0.637, \"(-8.27, -8.24)\": -0.566, \"(-8.24, -8.22)\": -0.512, \"(-8.22, -8.21)\": -0.475, \"(-8.21, -8.19)\": -0.419, \"(-8.19, -8.17)\": -0.385, \"(-8.17, -8.14)\": -0.35, \"(-8.14, -8.1)\": -0.264, \"(-8.1, -8.08)\": -0.231, \"(-8.08, -8.04)\": -0.166, \"(-8.04, -7.99)\": -0.118, \"(-7.99, -7.92)\": -0.052, \"(-7.92, -7.76)\": -0.012, \"(-7.76, -7.69)\": -0.058, \"(-7.69, -7.65)\": -0.14, \"(-7.65, -7.62)\": -0.178, \"(-7.62, -7.6)\": -0.224, \"(-7.6, -7.58)\": -0.259, \"(-7.58, -7.54)\": -0.294, \"(-7.54, -7.5)\": -0.406, \"(-7.5, -7.47)\": -0.492, \"(-7.47, -7.44)\": -0.546, \"(-7.44, -7.42)\": -0.598, \"(-7.42, -7.39)\": -0.683, \"(-7.39, -7.37)\": -0.728, \"(-7.37, -7.35)\": -0.781, \"(-7.35, -7.33)\": -0.845, \"(-7.33, -7.3)\": -0.876, \"(-7.3, -7.26)\": -1.001, \"(-7.26, -7.22)\": -1.081, \"(-7.22, -7.19)\": -1.16, \"(-7.19, -7.16)\": -1.23, \"(-7.16, -7.14)\": -1.272, \"(-7.14, -7.11)\": -1.317, \"(-7.11, -7.08)\": -1.366, \"(-7.08, -7.05)\": -1.402, \"(-7.05, -7.0)\": -1.458, \"(-7.0, -6.95)\": -1.5, \"(-6.95, -6.81)\": -1.535, \"(-6.81, -6.76)\": -1.495, \"(-6.76, -6.73)\": -1.434, \"(-6.73, -6.7)\": -1.398, \"(-6.7, -6.68)\": -1.334, \"(-6.68, -6.62)\": -1.281, \"(-6.62, -6.57)\": -1.048, \"(-6.57, -6.52)\": -0.978, \"(-6.52, -6.47)\": -0.745, \"(-6.47, -6.45)\": -0.701, \"(-6.45, -6.44)\": -0.631, \"(-6.44, -6.43)\": -0.6, \"(-6.43, -6.39)\": -0.494, \"(-6.39, -6.34)\": -0.342, \"(-6.34, -6.31)\": -0.132, \"(-6.31, -6.3)\": -0.072, \"(-6.3, -6.28)\": -0.019, \"(-6.28, -6.26)\": 0.083, \"(-6.26, -6.25)\": 0.118, \"(-6.25, -6.23)\": 0.181, \"(-6.23, -6.22)\": 0.25, \"(-6.22, -6.2)\": 0.293, \"(-6.2, -6.19)\": 0.349, \"(-6.19, -6.15)\": 0.409, \"(-6.15, -6.12)\": 0.609, \"(-6.12, -6.1)\": 0.656, \"(-6.1, -6.07)\": 0.769, \"(-6.07, -6.06)\": 0.81, \"(-6.06, -6.05)\": 0.849, \"(-6.05, -6.02)\": 0.917, \"(-6.02, -5.98)\": 1.037, \"(-5.98, -5.92)\": 1.146, \"(-5.92, -5.84)\": 1.34, \"(-5.84, -5.78)\": 1.419, \"(-5.78, -5.55)\": 1.507, \"(-5.55, -5.51)\": 1.463, \"(-5.51, -5.48)\": 1.427, \"(-5.48, -5.42)\": 1.365, \"(-5.42, -5.37)\": 1.219, \"(-5.37, -5.34)\": 1.177, \"(-5.34, -5.31)\": 1.084, \"(-5.31, -5.28)\": 1.023, \"(-5.28, -5.26)\": 0.951, \"(-5.26, -5.23)\": 0.894, \"(-5.23, -5.21)\": 0.83, \"(-5.21, -5.19)\": 0.778, \"(-5.19, -5.17)\": 0.726, \"(-5.17, -5.14)\": 0.673, \"(-5.14, -5.07)\": 0.626, \"(-5.07, -4.97)\": 0.323, \"(-4.97, -4.9)\": 0.195, \"(-4.9, -4.84)\": 0.102, \"(-4.84, -4.79)\": 0.058, \"(-4.79, -4.61)\": 0.009, \"(-4.61, -4.54)\": 0.068, \"(-4.54, -4.5)\": 0.144, \"(-4.5, -4.47)\": 0.197, \"(-4.47, -4.44)\": 0.236, \"(-4.44, -4.42)\": 0.298, \"(-4.42, -4.4)\": 0.33, \"(-4.4, -4.38)\": 0.371, \"(-4.38, -4.36)\": 0.425, \"(-4.36, -4.34)\": 0.461, \"(-4.34, -4.32)\": 0.514, \"(-4.32, -4.31)\": 0.547, \"(-4.31, -4.29)\": 0.591, \"(-4.29, -4.25)\": 0.632, \"(-4.25, -4.21)\": 0.765, \"(-4.21, -4.18)\": 0.82, \"(-4.18, -4.15)\": 0.958, \"(-4.15, -4.1)\": 0.994, \"(-4.1, -4.05)\": 1.168, \"(-4.05, -4.03)\": 1.215, \"(-4.03, -3.99)\": 1.259, \"(-3.99, -3.95)\": 1.331, \"(-3.95, -3.91)\": 1.398, \"(-3.91, -3.86)\": 1.451, \"(-3.86, -3.64)\": 1.51, \"(-3.64, -3.6)\": 1.464, \"(-3.6, -3.58)\": 1.416, \"(-3.58, -3.55)\": 1.365, \"(-3.55, -3.53)\": 1.328, \"(-3.53, -3.48)\": 1.24, \"(-3.48, -3.43)\": 1.119, \"(-3.43, -3.39)\": 0.961, \"(-3.39, -3.36)\": 0.887, \"(-3.36, -3.31)\": 0.731, \"(-3.31, -3.27)\": 0.591, \"(-3.27, -3.24)\": 0.441, \"(-3.24, -3.23)\": 0.361, \"(-3.23, -3.2)\": 0.323, \"(-3.2, -3.17)\": 0.15, \"(-3.17, -3.15)\": 0.074, \"(-3.15, -3.11)\": -0.044, \"(-3.11, -3.09)\": -0.205, \"(-3.09, -3.07)\": -0.238, \"(-3.07, -3.03)\": -0.344, \"(-3.03, -3.0)\": -0.489, \"(-3.0, -2.98)\": -0.6, \"(-2.98, -2.96)\": -0.648, \"(-2.96, -2.93)\": -0.73, \"(-2.93, -2.9)\": -0.868, \"(-2.9, -2.88)\": -0.942, \"(-2.88, -2.84)\": -1.011, \"(-2.84, -2.78)\": -1.152, \"(-2.78, -2.72)\": -1.305, \"(-2.72, -2.69)\": -1.389, \"(-2.69, -2.64)\": -1.442, \"(-2.64, -2.61)\": -1.477, \"(-2.61, -2.41)\": -1.511, \"(-2.41, -2.38)\": -1.473, \"(-2.38, -2.35)\": -1.428, \"(-2.35, -2.32)\": -1.371, \"(-2.32, -2.3)\": -1.339, \"(-2.3, -2.27)\": -1.291, \"(-2.27, -2.24)\": -1.229, \"(-2.24, -2.22)\": -1.17, \"(-2.22, -2.18)\": -1.121, \"(-2.18, -2.13)\": -1.014, \"(-2.13, -2.1)\": -0.894, \"(-2.1, -2.08)\": -0.859, \"(-2.08, -2.07)\": -0.827, \"(-2.07, -2.04)\": -0.773, \"(-2.04, -2.03)\": -0.735, \"(-2.03, -1.99)\": -0.683, \"(-1.99, -1.96)\": -0.567, \"(-1.96, -1.93)\": -0.498, \"(-1.93, -1.9)\": -0.434, \"(-1.9, -1.85)\": -0.359, \"(-1.85, -1.79)\": -0.263, \"(-1.79, -1.72)\": -0.135, \"(-1.72, -1.69)\": -0.076, \"(-1.69, -1.63)\": -0.044, \"(-1.63, -1.46)\": -0.009, \"(-1.46, -1.42)\": -0.054, \"(-1.42, -1.38)\": -0.115, \"(-1.38, -1.36)\": -0.147, \"(-1.36, -1.33)\": -0.178, \"(-1.33, -1.31)\": -0.217, \"(-1.31, -1.28)\": -0.271, \"(-1.28, -1.26)\": -0.321, \"(-1.26, -1.23)\": -0.381, \"(-1.23, -1.2)\": -0.463, \"(-1.2, -1.17)\": -0.515, \"(-1.17, -1.15)\": -0.566, \"(-1.15, -1.11)\": -0.631, \"(-1.11, -1.06)\": -0.794, \"(-1.06, -1.03)\": -0.885, \"(-1.03, -1.02)\": -0.92, \"(-1.02, -0.99)\": -0.964, \"(-0.99, -0.95)\": -1.082, \"(-0.95, -0.92)\": -1.138, \"(-0.92, -0.89)\": -1.185, \"(-0.89, -0.86)\": -1.261, \"(-0.86, -0.85)\": -1.296, \"(-0.85, -0.82)\": -1.328, \"(-0.82, -0.8)\": -1.378, \"(-0.8, -0.77)\": -1.409, \"(-0.77, -0.72)\": -1.447, \"(-0.72, -0.5)\": -1.522, \"(-0.5, -0.46)\": -1.454, \"(-0.46, -0.44)\": -1.418, \"(-0.44, -0.42)\": -1.386, \"(-0.42, -0.39)\": -1.336, \"(-0.39, -0.36)\": -1.268, \"(-0.36, -0.29)\": -1.195, \"(-0.29, -0.21)\": -0.905, \"(-0.21, -0.19)\": -0.78, \"(-0.19, -0.18)\": -0.722, \"(-0.18, -0.15)\": -0.655, \"(-0.15, -0.13)\": -0.57, \"(-0.13, -0.12)\": -0.487, \"(-0.12, -0.1)\": -0.428, \"(-0.1, -0.09)\": -0.387, \"(-0.09, -0.07)\": -0.308, \"(-0.07, -0.05)\": -0.261, \"(-0.05, -0.02)\": -0.119, \"(-0.02, -0.01)\": -0.077, \"(-0.01, 0.01)\": -0.006, \"(0.01, 0.04)\": 0.104, \"(0.04, 0.06)\": 0.186, \"(0.06, 0.07)\": 0.263, \"(0.07, 0.08)\": 0.308, \"(0.08, 0.11)\": 0.356, \"(0.11, 0.14)\": 0.516, \"(0.14, 0.17)\": 0.581, \"(0.17, 0.21)\": 0.765, \"(0.21, 0.22)\": 0.805, \"(0.22, 0.25)\": 0.838, \"(0.25, 0.3)\": 1.038, \"(0.3, 0.35)\": 1.111, \"(0.35, 0.4)\": 1.282, \"(0.4, 0.44)\": 1.365, \"(0.44, 0.48)\": 1.418, \"(0.48, 0.53)\": 1.476, \"(0.53, 0.74)\": 1.513, \"(0.74, 0.77)\": 1.468, \"(0.77, 0.8)\": 1.412, \"(0.8, 0.82)\": 1.377, \"(0.82, 0.85)\": 1.337, \"(0.85, 0.86)\": 1.306, \"(0.86, 0.9)\": 1.259, \"(0.9, 0.91)\": 1.212, \"(0.91, 0.93)\": 1.171, \"(0.93, 0.95)\": 1.126, \"(0.95, 0.99)\": 1.056, \"(0.99, 1.02)\": 0.972, \"(1.02, 1.04)\": 0.929, \"(1.04, 1.05)\": 0.886, \"(1.05, 1.06)\": 0.853, \"(1.06, 1.08)\": 0.815, \"(1.08, 1.11)\": 0.741, \"(1.11, 1.16)\": 0.675, \"(1.16, 1.19)\": 0.533, \"(1.19, 1.22)\": 0.484, \"(1.22, 1.24)\": 0.446, \"(1.24, 1.26)\": 0.371, \"(1.26, 1.28)\": 0.333, \"(1.28, 1.3)\": 0.292, \"(1.3, 1.35)\": 0.244, \"(1.35, 1.42)\": 0.121, \"(1.42, 1.48)\": 0.068, \"(1.48, 1.69)\": 0.031, \"(1.69, 1.75)\": 0.068, \"(1.75, 1.79)\": 0.165, \"(1.79, 1.82)\": 0.205, \"(1.82, 1.85)\": 0.262, \"(1.85, 1.86)\": 0.295, \"(1.86, 1.88)\": 0.335, \"(1.88, 1.9)\": 0.369, \"(1.9, 1.92)\": 0.406, \"(1.92, 1.93)\": 0.445, \"(1.93, 1.95)\": 0.477, \"(1.95, 1.99)\": 0.53, \"(1.99, 2.03)\": 0.665, \"(2.03, 2.05)\": 0.739, \"(2.05, 2.07)\": 0.777, \"(2.07, 2.1)\": 0.816, \"(2.1, 2.16)\": 0.91, \"(2.16, 2.21)\": 1.086, \"(2.21, 2.24)\": 1.17, \"(2.24, 2.29)\": 1.245, \"(2.29, 2.32)\": 1.333, \"(2.32, 2.35)\": 1.364, \"(2.35, 2.36)\": 1.405, \"(2.36, 2.39)\": 1.439, \"(2.39, 2.44)\": 1.473, \"(2.44, 2.63)\": 1.51, \"(2.63, 2.67)\": 1.475, \"(2.67, 2.71)\": 1.394, \"(2.71, 2.73)\": 1.355, \"(2.73, 2.79)\": 1.304, \"(2.79, 2.86)\": 1.103, \"(2.86, 2.89)\": 0.977, \"(2.89, 2.91)\": 0.897, \"(2.91, 2.93)\": 0.842, \"(2.93, 2.97)\": 0.781, \"(2.97, 3.01)\": 0.573, \"(3.01, 3.04)\": 0.451, \"(3.04, 3.06)\": 0.349, \"(3.06, 3.08)\": 0.304, \"(3.08, 3.11)\": 0.154, \"(3.11, 3.13)\": 0.082, \"(3.13, 3.15)\": 0.006, \"(3.15, 3.18)\": -0.109, \"(3.18, 3.19)\": -0.173, \"(3.19, 3.2)\": -0.208, \"(3.2, 3.22)\": -0.273, \"(3.22, 3.23)\": -0.317, \"(3.23, 3.24)\": -0.379, \"(3.24, 3.29)\": -0.426, \"(3.29, 3.36)\": -0.747, \"(3.36, 3.38)\": -0.878, \"(3.38, 3.4)\": -0.932, \"(3.4, 3.43)\": -0.979, \"(3.43, 3.46)\": -1.069, \"(3.46, 3.47)\": -1.141, \"(3.47, 3.48)\": -1.175, \"(3.48, 3.51)\": -1.207, \"(3.51, 3.54)\": -1.281, \"(3.54, 3.57)\": -1.335, \"(3.57, 3.62)\": -1.398, \"(3.62, 3.91)\": -1.483, \"(3.91, 3.96)\": -1.408, \"(3.96, 3.99)\": -1.346, \"(3.99, 4.04)\": -1.282, \"(4.04, 4.09)\": -1.154, \"(4.09, 4.14)\": -1.045, \"(4.14, 4.2)\": -0.927, \"(4.2, 4.25)\": -0.724, \"(4.25, 4.29)\": -0.68, \"(4.29, 4.34)\": -0.563, \"(4.34, 4.37)\": -0.463, \"(4.37, 4.39)\": -0.403, \"(4.39, 4.42)\": -0.354, \"(4.42, 4.44)\": -0.302, \"(4.44, 4.47)\": -0.27, \"(4.47, 4.51)\": -0.188, \"(4.51, 4.55)\": -0.142, \"(4.55, 4.59)\": -0.083, \"(4.59, 4.67)\": -0.045, \"(4.67, 4.81)\": -0.006, \"(4.81, 4.85)\": -0.043, \"(4.85, 4.87)\": -0.08, \"(4.87, 4.91)\": -0.117, \"(4.91, 4.95)\": -0.195, \"(4.95, 4.97)\": -0.226, \"(4.97, 5.01)\": -0.284, \"(5.01, 5.05)\": -0.389, \"(5.05, 5.08)\": -0.431, \"(5.08, 5.1)\": -0.507, \"(5.1, 5.12)\": -0.548, \"(5.12, 5.15)\": -0.591, \"(5.15, 5.17)\": -0.693, \"(5.17, 5.21)\": -0.733, \"(5.21, 5.25)\": -0.864, \"(5.25, 5.27)\": -0.933, \"(5.27, 5.32)\": -0.987, \"(5.32, 5.37)\": -1.149, \"(5.37, 5.4)\": -1.19, \"(5.4, 5.42)\": -1.263, \"(5.42, 5.45)\": -1.297, \"(5.45, 5.49)\": -1.376, \"(5.49, 5.52)\": -1.415, \"(5.52, 5.57)\": -1.466, \"(5.57, 5.81)\": -1.503, \"(5.81, 5.86)\": -1.418, \"(5.86, 5.88)\": -1.357, \"(5.88, 5.9)\": -1.324, \"(5.9, 5.94)\": -1.253, \"(5.94, 5.99)\": -1.155, \"(5.99, 6.04)\": -0.939, \"(6.04, 6.06)\": -0.877, \"(6.06, 6.08)\": -0.806, \"(6.08, 6.08)\": -0.759, \"(6.08, 6.12)\": -0.718, \"(6.12, 6.16)\": -0.51, \"(6.16, 6.19)\": -0.442, \"(6.19, 6.23)\": -0.271, \"(6.23, 6.27)\": -0.131, \"(6.27, 6.29)\": -0.017, \"(6.29, 6.33)\": 0.094, \"(6.33, 6.36)\": 0.289, \"(6.36, 6.37)\": 0.324, \"(6.37, 6.4)\": 0.402, \"(6.4, 6.42)\": 0.508, \"(6.42, 6.45)\": 0.592, \"(6.45, 6.47)\": 0.669, \"(6.47, 6.48)\": 0.733, \"(6.48, 6.5)\": 0.786, \"(6.5, 6.51)\": 0.853, \"(6.51, 6.54)\": 0.886, \"(6.54, 6.56)\": 0.989, \"(6.56, 6.58)\": 1.039, \"(6.58, 6.59)\": 1.073, \"(6.59, 6.6)\": 1.104, \"(6.6, 6.62)\": 1.147, \"(6.62, 6.63)\": 1.181, \"(6.63, 6.65)\": 1.225, \"(6.65, 6.67)\": 1.26, \"(6.67, 6.71)\": 1.331, \"(6.71, 6.78)\": 1.414, \"(6.78, 7.01)\": 1.506, \"(7.01, 7.05)\": 1.468, \"(7.05, 7.08)\": 1.43, \"(7.08, 7.11)\": 1.385, \"(7.11, 7.15)\": 1.323, \"(7.15, 7.17)\": 1.276, \"(7.17, 7.19)\": 1.231, \"(7.19, 7.2)\": 1.197, \"(7.2, 7.21)\": 1.165, \"(7.21, 7.24)\": 1.125, \"(7.24, 7.27)\": 1.057, \"(7.27, 7.32)\": 0.98, \"(7.32, 7.36)\": 0.852, \"(7.36, 7.37)\": 0.778, \"(7.37, 7.39)\": 0.738, \"(7.39, 7.42)\": 0.707, \"(7.42, 7.43)\": 0.624, \"(7.43, 7.45)\": 0.589, \"(7.45, 7.47)\": 0.542, \"(7.47, 7.52)\": 0.499, \"(7.52, 7.57)\": 0.344, \"(7.57, 7.59)\": 0.284, \"(7.59, 7.61)\": 0.252, \"(7.61, 7.64)\": 0.203, \"(7.64, 7.67)\": 0.165, \"(7.67, 7.72)\": 0.113, \"(7.72, 7.79)\": 0.053, \"(7.79, 7.94)\": 0.01, \"(7.94, 7.98)\": 0.046, \"(7.98, 8.02)\": 0.081, \"(8.02, 8.06)\": 0.122, \"(8.06, 8.13)\": 0.198, \"(8.13, 8.18)\": 0.348, \"(8.18, 8.21)\": 0.395, \"(8.21, 8.26)\": 0.478, \"(8.26, 8.29)\": 0.615, \"(8.29, 8.3)\": 0.654, \"(8.3, 8.32)\": 0.692, \"(8.32, 8.34)\": 0.753, \"(8.34, 8.37)\": 0.805, \"(8.37, 8.39)\": 0.864, \"(8.39, 8.41)\": 0.9, \"(8.41, 8.44)\": 0.977, \"(8.44, 8.47)\": 1.065, \"(8.47, 8.48)\": 1.102, \"(8.48, 8.51)\": 1.136, \"(8.51, 8.53)\": 1.181, \"(8.53, 8.55)\": 1.247, \"(8.55, 8.58)\": 1.293, \"(8.58, 8.61)\": 1.337, \"(8.61, 8.63)\": 1.374, \"(8.63, 8.65)\": 1.411, \"(8.65, 8.68)\": 1.45, \"(8.68, 8.74)\": 1.482, \"(8.74, 8.91)\": 1.528, \"(8.91, 8.97)\": 1.445, \"(8.97, 9.01)\": 1.38, \"(9.01, 9.04)\": 1.336, \"(9.04, 9.06)\": 1.282, \"(9.06, 9.08)\": 1.236, \"(9.08, 9.1)\": 1.18, \"(9.1, 9.14)\": 1.114, \"(9.14, 9.17)\": 0.987, \"(9.17, 9.19)\": 0.902, \"(9.19, 9.22)\": 0.845, \"(9.22, 9.25)\": 0.696, \"(9.25, 9.27)\": 0.629, \"(9.27, 9.3)\": 0.554, \"(9.3, 9.35)\": 0.421, \"(9.35, 9.39)\": 0.181, \"(9.39, 9.39)\": 0.15, \"(9.39, 9.4)\": 0.102, \"(9.4, 9.42)\": 0.046, \"(9.42, 9.46)\": -0.047, \"(9.46, 9.5)\": -0.22, \"(9.5, 9.54)\": -0.388, \"(9.54, 9.56)\": -0.476, \"(9.56, 9.57)\": -0.547, \"(9.57, 9.58)\": -0.591, \"(9.58, 9.59)\": -0.625, \"(9.59, 9.61)\": -0.661, \"(9.61, 9.65)\": -0.763, \"(9.65, 9.7)\": -0.945, \"(9.7, 9.72)\": -1.026, \"(9.72, 9.74)\": -1.078, \"(9.74, 9.76)\": -1.142, \"(9.76, 9.79)\": -1.201, \"(9.79, 9.82)\": -1.27, \"(9.82, 9.86)\": -1.327, \"(9.86, 9.91)\": -1.428, \"(9.91, 9.95)\": -1.468, \"(9.95, 10.0)\": -1.513}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -9.93)\": 1.486, \"(-9.93, -9.88)\": 1.449, \"(-9.88, -9.84)\": 1.404, \"(-9.84, -9.77)\": 1.362, \"(-9.77, -9.73)\": 1.324, \"(-9.73, -9.67)\": 1.277, \"(-9.67, -9.63)\": 1.236, \"(-9.63, -9.59)\": 1.198, \"(-9.59, -9.49)\": 1.138, \"(-9.49, -9.41)\": 1.034, \"(-9.41, -9.36)\": 0.96, \"(-9.36, -9.32)\": 0.919, \"(-9.32, -9.27)\": 0.875, \"(-9.27, -9.23)\": 0.839, \"(-9.23, -9.19)\": 0.8, \"(-9.19, -9.15)\": 0.755, \"(-9.15, -9.12)\": 0.716, \"(-9.12, -9.08)\": 0.679, \"(-9.08, -9.03)\": 0.626, \"(-9.03, -8.98)\": 0.57, \"(-8.98, -8.94)\": 0.535, \"(-8.94, -8.9)\": 0.491, \"(-8.9, -8.83)\": 0.455, \"(-8.83, -8.77)\": 0.369, \"(-8.77, -8.72)\": 0.328, \"(-8.72, -8.66)\": 0.277, \"(-8.66, -8.62)\": 0.232, \"(-8.62, -8.58)\": 0.186, \"(-8.58, -8.51)\": 0.142, \"(-8.51, -8.44)\": 0.1, \"(-8.44, -8.36)\": 0.018, \"(-8.36, -8.28)\": -0.032, \"(-8.28, -8.22)\": -0.079, \"(-8.22, -8.12)\": -0.119, \"(-8.12, -8.0)\": -0.192, \"(-8.0, -7.9)\": -0.241, \"(-7.9, -7.78)\": -0.285, \"(-7.78, -7.57)\": -0.321, \"(-7.57, -7.05)\": -0.361, \"(-7.05, -6.92)\": -0.315, \"(-6.92, -6.83)\": -0.278, \"(-6.83, -6.71)\": -0.238, \"(-6.71, -6.61)\": -0.191, \"(-6.61, -6.51)\": -0.148, \"(-6.51, -6.45)\": -0.112, \"(-6.45, -6.37)\": -0.076, \"(-6.37, -6.26)\": -0.03, \"(-6.26, -6.2)\": 0.012, \"(-6.2, -6.11)\": 0.049, \"(-6.11, -5.99)\": 0.105, \"(-5.99, -5.91)\": 0.145, \"(-5.91, -5.82)\": 0.183, \"(-5.82, -5.69)\": 0.224, \"(-5.69, -5.54)\": 0.277, \"(-5.54, -5.32)\": 0.321, \"(-5.32, -4.8)\": 0.36, \"(-4.8, -4.65)\": 0.307, \"(-4.65, -4.56)\": 0.262, \"(-4.56, -4.48)\": 0.222, \"(-4.48, -4.42)\": 0.186, \"(-4.42, -4.33)\": 0.15, \"(-4.33, -4.25)\": 0.084, \"(-4.25, -4.19)\": 0.042, \"(-4.19, -4.13)\": -0.005, \"(-4.13, -4.09)\": -0.051, \"(-4.09, -4.05)\": -0.086, \"(-4.05, -3.99)\": -0.13, \"(-3.99, -3.93)\": -0.174, \"(-3.93, -3.86)\": -0.232, \"(-3.86, -3.81)\": -0.289, \"(-3.81, -3.75)\": -0.332, \"(-3.75, -3.71)\": -0.394, \"(-3.71, -3.66)\": -0.447, \"(-3.66, -3.61)\": -0.485, \"(-3.61, -3.59)\": -0.52, \"(-3.59, -3.53)\": -0.56, \"(-3.53, -3.49)\": -0.612, \"(-3.49, -3.45)\": -0.651, \"(-3.45, -3.42)\": -0.686, \"(-3.42, -3.37)\": -0.729, \"(-3.37, -3.28)\": -0.787, \"(-3.28, -3.19)\": -0.899, \"(-3.19, -3.13)\": -0.971, \"(-3.13, -3.11)\": -1.019, \"(-3.11, -3.04)\": -1.059, \"(-3.04, -2.98)\": -1.119, \"(-2.98, -2.93)\": -1.167, \"(-2.93, -2.87)\": -1.212, \"(-2.87, -2.81)\": -1.28, \"(-2.81, -2.77)\": -1.327, \"(-2.77, -2.7)\": -1.369, \"(-2.7, -2.64)\": -1.412, \"(-2.64, -2.59)\": -1.462, \"(-2.59, -2.49)\": -1.515, \"(-2.49, -2.43)\": -1.555, \"(-2.43, -2.32)\": -1.607, \"(-2.32, -2.22)\": -1.665, \"(-2.22, -2.01)\": -1.71, \"(-2.01, -1.6)\": -1.751, \"(-1.6, -1.51)\": -1.715, \"(-1.51, -1.46)\": -1.678, \"(-1.46, -1.36)\": -1.639, \"(-1.36, -1.3)\": -1.602, \"(-1.3, -1.25)\": -1.566, \"(-1.25, -1.19)\": -1.523, \"(-1.19, -1.14)\": -1.478, \"(-1.14, -1.05)\": -1.422, \"(-1.05, -0.96)\": -1.318, \"(-0.96, -0.94)\": -1.281, \"(-0.94, -0.9)\": -1.24, \"(-0.9, -0.86)\": -1.201, \"(-0.86, -0.82)\": -1.163, \"(-0.82, -0.76)\": -1.11, \"(-0.76, -0.71)\": -1.026, \"(-0.71, -0.68)\": -0.985, \"(-0.68, -0.63)\": -0.941, \"(-0.63, -0.59)\": -0.885, \"(-0.59, -0.54)\": -0.816, \"(-0.54, -0.5)\": -0.755, \"(-0.5, -0.46)\": -0.707, \"(-0.46, -0.42)\": -0.664, \"(-0.42, -0.37)\": -0.602, \"(-0.37, -0.32)\": -0.507, \"(-0.32, -0.25)\": -0.431, \"(-0.25, -0.21)\": -0.323, \"(-0.21, -0.17)\": -0.284, \"(-0.17, -0.11)\": -0.221, \"(-0.11, -0.06)\": -0.143, \"(-0.06, -0.01)\": -0.045, \"(-0.01, 0.02)\": -0.006, \"(0.02, 0.06)\": 0.036, \"(0.06, 0.12)\": 0.121, \"(0.12, 0.19)\": 0.243, \"(0.19, 0.21)\": 0.284, \"(0.21, 0.23)\": 0.326, \"(0.23, 0.27)\": 0.363, \"(0.27, 0.32)\": 0.431, \"(0.32, 0.36)\": 0.508, \"(0.36, 0.41)\": 0.566, \"(0.41, 0.47)\": 0.627, \"(0.47, 0.51)\": 0.702, \"(0.51, 0.53)\": 0.74, \"(0.53, 0.57)\": 0.786, \"(0.57, 0.61)\": 0.843, \"(0.61, 0.65)\": 0.879, \"(0.65, 0.68)\": 0.939, \"(0.68, 0.71)\": 0.982, \"(0.71, 0.79)\": 1.033, \"(0.79, 0.87)\": 1.148, \"(0.87, 0.91)\": 1.204, \"(0.91, 1.01)\": 1.242, \"(1.01, 1.11)\": 1.384, \"(1.11, 1.18)\": 1.426, \"(1.18, 1.26)\": 1.499, \"(1.26, 1.36)\": 1.559, \"(1.36, 1.45)\": 1.614, \"(1.45, 1.55)\": 1.667, \"(1.55, 1.69)\": 1.704, \"(1.69, 2.18)\": 1.74, \"(2.18, 2.29)\": 1.699, \"(2.29, 2.38)\": 1.656, \"(2.38, 2.49)\": 1.598, \"(2.49, 2.54)\": 1.548, \"(2.54, 2.61)\": 1.505, \"(2.61, 2.67)\": 1.465, \"(2.67, 2.78)\": 1.402, \"(2.78, 2.86)\": 1.312, \"(2.86, 2.9)\": 1.263, \"(2.9, 2.94)\": 1.227, \"(2.94, 2.99)\": 1.187, \"(2.99, 3.02)\": 1.145, \"(3.02, 3.07)\": 1.091, \"(3.07, 3.12)\": 1.053, \"(3.12, 3.17)\": 0.998, \"(3.17, 3.22)\": 0.957, \"(3.22, 3.24)\": 0.916, \"(3.24, 3.28)\": 0.877, \"(3.28, 3.32)\": 0.842, \"(3.32, 3.37)\": 0.804, \"(3.37, 3.43)\": 0.75, \"(3.43, 3.48)\": 0.69, \"(3.48, 3.51)\": 0.648, \"(3.51, 3.55)\": 0.603, \"(3.55, 3.59)\": 0.566, \"(3.59, 3.7)\": 0.508, \"(3.7, 3.79)\": 0.387, \"(3.79, 3.83)\": 0.34, \"(3.83, 3.87)\": 0.299, \"(3.87, 3.92)\": 0.255, \"(3.92, 3.98)\": 0.21, \"(3.98, 4.05)\": 0.155, \"(4.05, 4.13)\": 0.086, \"(4.13, 4.19)\": 0.035, \"(4.19, 4.26)\": -0.002, \"(4.26, 4.34)\": -0.076, \"(4.34, 4.39)\": -0.112, \"(4.39, 4.49)\": -0.158, \"(4.49, 4.56)\": -0.193, \"(4.56, 4.65)\": -0.235, \"(4.65, 4.75)\": -0.271, \"(4.75, 4.88)\": -0.307, \"(4.88, 5.51)\": -0.344, \"(5.51, 5.68)\": -0.307, \"(5.68, 5.78)\": -0.268, \"(5.78, 5.87)\": -0.232, \"(5.87, 5.98)\": -0.187, \"(5.98, 6.08)\": -0.142, \"(6.08, 6.16)\": -0.094, \"(6.16, 6.25)\": -0.058, \"(6.25, 6.33)\": -0.006, \"(6.33, 6.42)\": 0.03, \"(6.42, 6.5)\": 0.077, \"(6.5, 6.59)\": 0.114, \"(6.59, 6.7)\": 0.161, \"(6.7, 6.81)\": 0.204, \"(6.81, 6.95)\": 0.256, \"(6.95, 7.08)\": 0.292, \"(7.08, 7.84)\": 0.332, \"(7.84, 7.94)\": 0.294, \"(7.94, 8.03)\": 0.256, \"(8.03, 8.11)\": 0.213, \"(8.11, 8.18)\": 0.174, \"(8.18, 8.26)\": 0.13, \"(8.26, 8.33)\": 0.074, \"(8.33, 8.38)\": 0.033, \"(8.38, 8.45)\": -0.022, \"(8.45, 8.51)\": -0.064, \"(8.51, 8.55)\": -0.107, \"(8.55, 8.59)\": -0.145, \"(8.59, 8.64)\": -0.181, \"(8.64, 8.69)\": -0.233, \"(8.69, 8.74)\": -0.275, \"(8.74, 8.77)\": -0.319, \"(8.77, 8.83)\": -0.356, \"(8.83, 8.87)\": -0.403, \"(8.87, 8.91)\": -0.442, \"(8.91, 8.97)\": -0.501, \"(8.97, 9.0)\": -0.54, \"(9.0, 9.04)\": -0.575, \"(9.04, 9.1)\": -0.612, \"(9.1, 9.15)\": -0.692, \"(9.15, 9.21)\": -0.746, \"(9.21, 9.26)\": -0.793, \"(9.26, 9.3)\": -0.839, \"(9.3, 9.37)\": -0.896, \"(9.37, 9.42)\": -0.948, \"(9.42, 9.49)\": -1.023, \"(9.49, 9.56)\": -1.08, \"(9.56, 9.62)\": -1.159, \"(9.62, 9.68)\": -1.212, \"(9.68, 9.73)\": -1.25, \"(9.73, 9.79)\": -1.304, \"(9.79, 9.83)\": -1.341, \"(9.83, 9.92)\": -1.4, \"(9.92, 9.97)\": -1.45}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-10.0, -9.92)\": 10.52, \"(-9.92, -9.86)\": 10.39, \"(-9.86, -9.81)\": 10.28, \"(-9.81, -9.75)\": 10.17, \"(-9.75, -9.68)\": 10.06, \"(-9.68, -9.6)\": 9.93, \"(-9.6, -9.5)\": 9.68, \"(-9.5, -9.44)\": 9.55, \"(-9.44, -9.37)\": 9.44, \"(-9.37, -9.32)\": 9.31, \"(-9.32, -9.27)\": 9.21, \"(-9.27, -9.2)\": 9.09, \"(-9.2, -9.09)\": 8.93, \"(-9.09, -9.0)\": 8.7, \"(-9.0, -8.92)\": 8.54, \"(-8.92, -8.85)\": 8.42, \"(-8.85, -8.8)\": 8.31, \"(-8.8, -8.74)\": 8.19, \"(-8.74, -8.66)\": 8.09, \"(-8.66, -8.59)\": 7.94, \"(-8.59, -8.5)\": 7.82, \"(-8.5, -8.38)\": 7.66, \"(-8.38, -8.29)\": 7.45, \"(-8.29, -8.17)\": 7.33, \"(-8.17, -8.07)\": 7.2, \"(-8.07, -7.98)\": 7.07, \"(-7.98, -7.82)\": 6.93, \"(-7.82, -7.69)\": 6.81, \"(-7.69, -7.55)\": 6.69, \"(-7.55, -7.34)\": 6.57, \"(-7.34, -7.1)\": 6.47, \"(-7.1, -5.73)\": 6.36, \"(-5.73, -5.38)\": 6.25, \"(-5.38, -5.12)\": 6.15, \"(-5.12, -4.97)\": 6.03, \"(-4.97, -4.8)\": 5.91, \"(-4.8, -4.68)\": 5.79, \"(-4.68, -4.56)\": 5.67, \"(-4.56, -4.48)\": 5.54, \"(-4.48, -4.34)\": 5.39, \"(-4.34, -4.25)\": 5.26, \"(-4.25, -4.18)\": 5.12, \"(-4.18, -4.11)\": 5.01, \"(-4.11, -4.01)\": 4.87, \"(-4.01, -3.94)\": 4.77, \"(-3.94, -3.83)\": 4.64, \"(-3.83, -3.72)\": 4.37, \"(-3.72, -3.66)\": 4.26, \"(-3.66, -3.6)\": 4.13, \"(-3.6, -3.56)\": 4.01, \"(-3.56, -3.48)\": 3.91, \"(-3.48, -3.39)\": 3.79, \"(-3.39, -3.32)\": 3.58, \"(-3.32, -3.21)\": 3.43, \"(-3.21, -3.12)\": 3.2, \"(-3.12, -3.02)\": 3.08, \"(-3.02, -2.91)\": 2.81, \"(-2.91, -2.83)\": 2.63, \"(-2.83, -2.77)\": 2.52, \"(-2.77, -2.71)\": 2.39, \"(-2.71, -2.64)\": 2.28, \"(-2.64, -2.51)\": 2.05, \"(-2.51, -2.43)\": 1.88, \"(-2.43, -2.34)\": 1.77, \"(-2.34, -2.26)\": 1.6, \"(-2.26, -2.18)\": 1.48, \"(-2.18, -2.1)\": 1.33, \"(-2.1, -2.01)\": 1.21, \"(-2.01, -1.93)\": 1.09, \"(-1.93, -1.84)\": 0.97, \"(-1.84, -1.74)\": 0.86, \"(-1.74, -1.63)\": 0.74, \"(-1.63, -1.51)\": 0.63, \"(-1.51, -1.36)\": 0.49, \"(-1.36, -1.21)\": 0.38, \"(-1.21, -1.0)\": 0.26, \"(-1.0, -0.69)\": 0.16, \"(-0.69, 0.07)\": 0.05, \"(0.07, 0.12)\": 0.16, \"(0.12, 0.18)\": 0.26, \"(0.18, 0.24)\": 0.42, \"(0.24, 0.33)\": 0.53, \"(0.33, 0.42)\": 0.74, \"(0.42, 0.48)\": 0.85, \"(0.48, 0.54)\": 0.96, \"(0.54, 0.6)\": 1.07, \"(0.6, 0.67)\": 1.2, \"(0.67, 0.73)\": 1.3, \"(0.73, 0.8)\": 1.42, \"(0.8, 0.88)\": 1.54, \"(0.88, 0.98)\": 1.67, \"(0.98, 1.11)\": 1.87, \"(1.11, 1.21)\": 2.03, \"(1.21, 1.3)\": 2.15, \"(1.3, 1.4)\": 2.27, \"(1.4, 1.51)\": 2.4, \"(1.51, 1.64)\": 2.53, \"(1.64, 1.77)\": 2.64, \"(1.77, 1.92)\": 2.75, \"(1.92, 2.1)\": 2.86, \"(2.1, 2.38)\": 2.96, \"(2.38, 3.74)\": 3.07, \"(3.74, 4.09)\": 3.18, \"(4.09, 4.31)\": 3.29, \"(4.31, 4.48)\": 3.4, \"(4.48, 4.61)\": 3.52, \"(4.61, 4.74)\": 3.63, \"(4.74, 4.85)\": 3.75, \"(4.85, 4.92)\": 3.86, \"(4.92, 5.02)\": 3.97, \"(5.02, 5.1)\": 4.1, \"(5.1, 5.21)\": 4.21, \"(5.21, 5.28)\": 4.33, \"(5.28, 5.32)\": 4.44, \"(5.32, 5.42)\": 4.55, \"(5.42, 5.49)\": 4.68, \"(5.49, 5.55)\": 4.78, \"(5.55, 5.62)\": 4.89, \"(5.62, 5.69)\": 5.02, \"(5.69, 5.76)\": 5.16, \"(5.76, 5.83)\": 5.29, \"(5.83, 5.91)\": 5.43, \"(5.91, 5.98)\": 5.58, \"(5.98, 6.05)\": 5.73, \"(6.05, 6.16)\": 5.9, \"(6.16, 6.22)\": 6.05, \"(6.22, 6.31)\": 6.2, \"(6.31, 6.36)\": 6.33, \"(6.36, 6.45)\": 6.5, \"(6.45, 6.52)\": 6.64, \"(6.52, 6.58)\": 6.77, \"(6.58, 6.65)\": 6.89, \"(6.65, 6.71)\": 7.03, \"(6.71, 6.78)\": 7.15, \"(6.78, 6.83)\": 7.26, \"(6.83, 6.9)\": 7.38, \"(6.9, 6.97)\": 7.51, \"(6.97, 7.06)\": 7.63, \"(7.06, 7.17)\": 7.8, \"(7.17, 7.25)\": 7.97, \"(7.25, 7.33)\": 8.1, \"(7.33, 7.42)\": 8.21, \"(7.42, 7.51)\": 8.33, \"(7.51, 7.62)\": 8.47, \"(7.62, 7.7)\": 8.59, \"(7.7, 7.8)\": 8.7, \"(7.8, 7.93)\": 8.81, \"(7.93, 8.05)\": 8.93, \"(8.05, 8.23)\": 9.04, \"(8.23, 8.41)\": 9.16, \"(8.41, 8.74)\": 9.26, \"(8.74, 9.99)\": 9.37}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -9.86)\": -1.868, \"(-9.86, -9.73)\": -1.913, \"(-9.73, -9.53)\": -1.955, \"(-9.53, -9.12)\": -1.995, \"(-9.12, -9.01)\": -1.952, \"(-9.01, -8.91)\": -1.909, \"(-8.91, -8.84)\": -1.863, \"(-8.84, -8.74)\": -1.813, \"(-8.74, -8.67)\": -1.77, \"(-8.67, -8.55)\": -1.712, \"(-8.55, -8.46)\": -1.606, \"(-8.46, -8.41)\": -1.565, \"(-8.41, -8.35)\": -1.524, \"(-8.35, -8.27)\": -1.446, \"(-8.27, -8.22)\": -1.404, \"(-8.22, -8.18)\": -1.351, \"(-8.18, -8.13)\": -1.296, \"(-8.13, -8.07)\": -1.254, \"(-8.07, -8.02)\": -1.205, \"(-8.02, -7.94)\": -1.129, \"(-7.94, -7.87)\": -1.056, \"(-7.87, -7.82)\": -1.008, \"(-7.82, -7.76)\": -0.953, \"(-7.76, -7.72)\": -0.908, \"(-7.72, -7.66)\": -0.851, \"(-7.66, -7.61)\": -0.805, \"(-7.61, -7.56)\": -0.753, \"(-7.56, -7.49)\": -0.703, \"(-7.49, -7.4)\": -0.602, \"(-7.4, -7.34)\": -0.556, \"(-7.34, -7.25)\": -0.489, \"(-7.25, -7.16)\": -0.398, \"(-7.16, -7.1)\": -0.356, \"(-7.1, -7.03)\": -0.309, \"(-7.03, -6.96)\": -0.256, \"(-6.96, -6.88)\": -0.215, \"(-6.88, -6.79)\": -0.169, \"(-6.79, -6.68)\": -0.117, \"(-6.68, -6.51)\": -0.077, \"(-6.51, -5.9)\": -0.035, \"(-5.9, -5.8)\": -0.075, \"(-5.8, -5.71)\": -0.119, \"(-5.71, -5.64)\": -0.165, \"(-5.64, -5.55)\": -0.21, \"(-5.55, -5.48)\": -0.27, \"(-5.48, -5.42)\": -0.31, \"(-5.42, -5.35)\": -0.377, \"(-5.35, -5.26)\": -0.422, \"(-5.26, -5.17)\": -0.523, \"(-5.17, -5.12)\": -0.567, \"(-5.12, -5.05)\": -0.607, \"(-5.05, -4.99)\": -0.688, \"(-4.99, -4.92)\": -0.752, \"(-4.92, -4.88)\": -0.806, \"(-4.88, -4.78)\": -0.861, \"(-4.78, -4.69)\": -0.972, \"(-4.69, -4.65)\": -1.032, \"(-4.65, -4.6)\": -1.088, \"(-4.6, -4.53)\": -1.137, \"(-4.53, -4.47)\": -1.198, \"(-4.47, -4.39)\": -1.271, \"(-4.39, -4.35)\": -1.322, \"(-4.35, -4.29)\": -1.371, \"(-4.29, -4.24)\": -1.414, \"(-4.24, -4.17)\": -1.476, \"(-4.17, -4.12)\": -1.523, \"(-4.12, -4.05)\": -1.563, \"(-4.05, -4.0)\": -1.621, \"(-4.0, -3.9)\": -1.669, \"(-3.9, -3.81)\": -1.742, \"(-3.81, -3.72)\": -1.795, \"(-3.72, -3.61)\": -1.849, \"(-3.61, -3.5)\": -1.899, \"(-3.5, -3.28)\": -1.945, \"(-3.28, -2.85)\": -1.988, \"(-2.85, -2.7)\": -1.944, \"(-2.7, -2.61)\": -1.897, \"(-2.61, -2.52)\": -1.855, \"(-2.52, -2.44)\": -1.805, \"(-2.44, -2.29)\": -1.731, \"(-2.29, -2.2)\": -1.627, \"(-2.2, -2.13)\": -1.576, \"(-2.13, -2.07)\": -1.531, \"(-2.07, -2.01)\": -1.458, \"(-2.01, -1.96)\": -1.414, \"(-1.96, -1.89)\": -1.337, \"(-1.89, -1.83)\": -1.294, \"(-1.83, -1.76)\": -1.235, \"(-1.76, -1.71)\": -1.174, \"(-1.71, -1.66)\": -1.129, \"(-1.66, -1.61)\": -1.083, \"(-1.61, -1.57)\": -1.036, \"(-1.57, -1.51)\": -0.978, \"(-1.51, -1.46)\": -0.931, \"(-1.46, -1.42)\": -0.873, \"(-1.42, -1.36)\": -0.827, \"(-1.36, -1.29)\": -0.775, \"(-1.29, -1.23)\": -0.703, \"(-1.23, -1.17)\": -0.654, \"(-1.17, -1.11)\": -0.609, \"(-1.11, -1.06)\": -0.542, \"(-1.06, -1.0)\": -0.502, \"(-1.0, -0.96)\": -0.453, \"(-0.96, -0.88)\": -0.403, \"(-0.88, -0.82)\": -0.358, \"(-0.82, -0.77)\": -0.317, \"(-0.77, -0.69)\": -0.266, \"(-0.69, -0.62)\": -0.221, \"(-0.62, -0.49)\": -0.177, \"(-0.49, -0.36)\": -0.104, \"(-0.36, -0.18)\": -0.059, \"(-0.18, -0.02)\": -0.019, \"(-0.02, 0.02)\": 0.153, \"(0.02, 0.07)\": 1.683, \"(0.07, 0.37)\": 1.967, \"(0.37, 0.47)\": 1.924, \"(0.47, 0.56)\": 1.883, \"(0.56, 0.67)\": 1.827, \"(0.67, 0.74)\": 1.779, \"(0.74, 0.8)\": 1.729, \"(0.8, 0.88)\": 1.678, \"(0.88, 0.94)\": 1.636, \"(0.94, 1.0)\": 1.586, \"(1.0, 1.05)\": 1.53, \"(1.05, 1.12)\": 1.484, \"(1.12, 1.17)\": 1.43, \"(1.17, 1.22)\": 1.381, \"(1.22, 1.26)\": 1.34, \"(1.26, 1.32)\": 1.294, \"(1.32, 1.38)\": 1.233, \"(1.38, 1.44)\": 1.175, \"(1.44, 1.51)\": 1.11, \"(1.51, 1.57)\": 1.041, \"(1.57, 1.62)\": 0.989, \"(1.62, 1.67)\": 0.932, \"(1.67, 1.75)\": 0.885, \"(1.75, 1.84)\": 0.781, \"(1.84, 1.89)\": 0.728, \"(1.89, 1.96)\": 0.674, \"(1.96, 2.03)\": 0.599, \"(2.03, 2.08)\": 0.558, \"(2.08, 2.13)\": 0.491, \"(2.13, 2.2)\": 0.449, \"(2.2, 2.29)\": 0.397, \"(2.29, 2.35)\": 0.333, \"(2.35, 2.42)\": 0.291, \"(2.42, 2.46)\": 0.246, \"(2.46, 2.58)\": 0.204, \"(2.58, 2.72)\": 0.134, \"(2.72, 2.89)\": 0.08, \"(2.89, 3.49)\": 0.027, \"(3.49, 3.61)\": 0.068, \"(3.61, 3.71)\": 0.116, \"(3.71, 3.79)\": 0.164, \"(3.79, 3.85)\": 0.205, \"(3.85, 3.95)\": 0.254, \"(3.95, 4.01)\": 0.318, \"(4.01, 4.08)\": 0.367, \"(4.08, 4.15)\": 0.425, \"(4.15, 4.19)\": 0.469, \"(4.19, 4.25)\": 0.512, \"(4.25, 4.29)\": 0.554, \"(4.29, 4.35)\": 0.612, \"(4.35, 4.42)\": 0.664, \"(4.42, 4.49)\": 0.732, \"(4.49, 4.55)\": 0.791, \"(4.55, 4.61)\": 0.855, \"(4.61, 4.65)\": 0.902, \"(4.65, 4.68)\": 0.949, \"(4.68, 4.74)\": 0.996, \"(4.74, 4.8)\": 1.051, \"(4.8, 4.84)\": 1.091, \"(4.84, 4.87)\": 1.133, \"(4.87, 4.95)\": 1.173, \"(4.95, 5.01)\": 1.247, \"(5.01, 5.07)\": 1.311, \"(5.07, 5.12)\": 1.364, \"(5.12, 5.2)\": 1.433, \"(5.2, 5.25)\": 1.475, \"(5.25, 5.32)\": 1.53, \"(5.32, 5.37)\": 1.577, \"(5.37, 5.44)\": 1.628, \"(5.44, 5.5)\": 1.669, \"(5.5, 5.59)\": 1.717, \"(5.59, 5.66)\": 1.777, \"(5.66, 5.74)\": 1.819, \"(5.74, 5.86)\": 1.862, \"(5.86, 6.08)\": 1.931, \"(6.08, 6.64)\": 1.974, \"(6.64, 6.74)\": 1.934, \"(6.74, 6.85)\": 1.89, \"(6.85, 6.93)\": 1.834, \"(6.93, 7.0)\": 1.794, \"(7.0, 7.08)\": 1.742, \"(7.08, 7.15)\": 1.698, \"(7.15, 7.22)\": 1.627, \"(7.22, 7.31)\": 1.586, \"(7.31, 7.42)\": 1.476, \"(7.42, 7.49)\": 1.398, \"(7.49, 7.53)\": 1.358, \"(7.53, 7.57)\": 1.316, \"(7.57, 7.62)\": 1.265, \"(7.62, 7.66)\": 1.224, \"(7.66, 7.69)\": 1.183, \"(7.69, 7.75)\": 1.142, \"(7.75, 7.8)\": 1.092, \"(7.8, 7.86)\": 1.041, \"(7.86, 7.91)\": 0.972, \"(7.91, 7.96)\": 0.924, \"(7.96, 8.01)\": 0.876, \"(8.01, 8.09)\": 0.81, \"(8.09, 8.11)\": 0.769, \"(8.11, 8.18)\": 0.727, \"(8.18, 8.24)\": 0.662, \"(8.24, 8.28)\": 0.62, \"(8.28, 8.35)\": 0.576, \"(8.35, 8.41)\": 0.52, \"(8.41, 8.48)\": 0.46, \"(8.48, 8.55)\": 0.408, \"(8.55, 8.6)\": 0.355, \"(8.6, 8.67)\": 0.315, \"(8.67, 8.76)\": 0.253, \"(8.76, 8.84)\": 0.207, \"(8.84, 8.92)\": 0.164, \"(8.92, 9.04)\": 0.12, \"(9.04, 9.18)\": 0.071, \"(9.18, 9.81)\": 0.031, \"(9.81, 9.94)\": 0.078, \"(9.94, 9.99)\": 0.138}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.96, -9.64)\": -859.8, \"(-9.64, -8.69)\": -842.0, \"(-8.69, -8.43)\": -823.5, \"(-8.43, -8.2)\": -805.8, \"(-8.2, -8.06)\": -786.0, \"(-8.06, -7.95)\": -764.6, \"(-7.95, -7.84)\": -746.1, \"(-7.84, -7.74)\": -728.3, \"(-7.74, -7.64)\": -710.2, \"(-7.64, -7.57)\": -687.1, \"(-7.57, -7.48)\": -666.7, \"(-7.48, -7.41)\": -649.5, \"(-7.41, -7.33)\": -627.9, \"(-7.33, -7.24)\": -603.7, \"(-7.24, -7.17)\": -578.1, \"(-7.17, -7.11)\": -559.4, \"(-7.11, -7.06)\": -540.3, \"(-7.06, -6.99)\": -522.5, \"(-6.99, -6.93)\": -503.8, \"(-6.93, -6.88)\": -477.3, \"(-6.88, -6.81)\": -453.9, \"(-6.81, -6.73)\": -433.8, \"(-6.73, -6.67)\": -409.2, \"(-6.67, -6.63)\": -391.3, \"(-6.63, -6.54)\": -369.9, \"(-6.54, -6.49)\": -334.9, \"(-6.49, -6.42)\": -315.2, \"(-6.42, -6.34)\": -290.3, \"(-6.34, -6.31)\": -267.9, \"(-6.31, -6.23)\": -243.7, \"(-6.23, -6.16)\": -223.6, \"(-6.16, -6.1)\": -196.9, \"(-6.1, -6.04)\": -175.3, \"(-6.04, -5.98)\": -156.4, \"(-5.98, -5.93)\": -138.0, \"(-5.93, -5.87)\": -120.6, \"(-5.87, -5.8)\": -95.5, \"(-5.8, -5.73)\": -74.8, \"(-5.73, -5.66)\": -54.0, \"(-5.66, -5.59)\": -32.9, \"(-5.59, -5.53)\": -13.9, \"(-5.53, -5.46)\": 4.8, \"(-5.46, -5.36)\": 24.8, \"(-5.36, -5.3)\": 44.8, \"(-5.3, -5.22)\": 62.7, \"(-5.22, -5.1)\": 81.8, \"(-5.1, -4.97)\": 100.3, \"(-4.97, -4.81)\": 119.8, \"(-4.81, -3.96)\": 137.6, \"(-3.96, -3.84)\": 119.4, \"(-3.84, -3.71)\": 101.0, \"(-3.71, -3.61)\": 82.7, \"(-3.61, -3.48)\": 63.0, \"(-3.48, -3.37)\": 33.2, \"(-3.37, -3.27)\": 15.6, \"(-3.27, -3.19)\": -7.1, \"(-3.19, -3.08)\": -26.9, \"(-3.08, -2.97)\": -51.4, \"(-2.97, -2.88)\": -74.9, \"(-2.88, -2.77)\": -93.8, \"(-2.77, -2.67)\": -118.1, \"(-2.67, -2.56)\": -137.4, \"(-2.56, -2.46)\": -155.5, \"(-2.46, -2.34)\": -175.7, \"(-2.34, -2.22)\": -193.3, \"(-2.22, -2.06)\": -212.4, \"(-2.06, -1.8)\": -231.3, \"(-1.8, -1.18)\": -250.6, \"(-1.18, -1.01)\": -232.2, \"(-1.01, -0.86)\": -209.9, \"(-0.86, -0.75)\": -188.0, \"(-0.75, -0.64)\": -168.6, \"(-0.64, -0.56)\": -146.2, \"(-0.56, -0.46)\": -127.0, \"(-0.46, -0.38)\": -107.8, \"(-0.38, -0.29)\": -86.6, \"(-0.29, -0.21)\": -68.8, \"(-0.21, -0.13)\": -50.7, \"(-0.13, -0.06)\": -29.0, \"(-0.06, 0.02)\": -10.7, \"(0.02, 0.1)\": 8.5, \"(0.1, 0.17)\": 27.2, \"(0.17, 0.24)\": 47.1, \"(0.24, 0.36)\": 72.3, \"(0.36, 0.44)\": 91.5, \"(0.44, 0.53)\": 108.8, \"(0.53, 0.63)\": 129.5, \"(0.63, 0.77)\": 149.8, \"(0.77, 0.93)\": 182.1, \"(0.93, 1.05)\": 200.9, \"(1.05, 1.25)\": 222.6, \"(1.25, 2.12)\": 239.9, \"(2.12, 2.25)\": 221.4, \"(2.25, 2.39)\": 202.5, \"(2.39, 2.48)\": 183.5, \"(2.48, 2.56)\": 165.7, \"(2.56, 2.73)\": 140.6, \"(2.73, 2.82)\": 118.1, \"(2.82, 2.92)\": 98.4, \"(2.92, 3.02)\": 75.6, \"(3.02, 3.14)\": 51.2, \"(3.14, 3.24)\": 28.7, \"(3.24, 3.31)\": 7.6, \"(3.31, 3.4)\": -10.7, \"(3.4, 3.51)\": -29.6, \"(3.51, 3.61)\": -50.5, \"(3.61, 3.74)\": -71.8, \"(3.74, 3.87)\": -91.5, \"(3.87, 4.02)\": -109.7, \"(4.02, 4.24)\": -128.8, \"(4.24, 4.87)\": -147.0, \"(4.87, 4.99)\": -129.7, \"(4.99, 5.14)\": -111.1, \"(5.14, 5.27)\": -83.8, \"(5.27, 5.36)\": -64.6, \"(5.36, 5.43)\": -45.0, \"(5.43, 5.5)\": -26.6, \"(5.5, 5.56)\": -7.1, \"(5.56, 5.67)\": 19.9, \"(5.67, 5.73)\": 39.0, \"(5.73, 5.82)\": 58.2, \"(5.82, 5.92)\": 98.6, \"(5.92, 5.97)\": 118.4, \"(5.97, 6.02)\": 141.0, \"(6.02, 6.1)\": 158.6, \"(6.1, 6.15)\": 188.5, \"(6.15, 6.24)\": 207.5, \"(6.24, 6.31)\": 246.8, \"(6.31, 6.39)\": 272.7, \"(6.39, 6.46)\": 290.1, \"(6.46, 6.54)\": 322.4, \"(6.54, 6.6)\": 346.0, \"(6.6, 6.66)\": 368.0, \"(6.66, 6.72)\": 389.7, \"(6.72, 6.79)\": 416.7, \"(6.79, 6.86)\": 438.6, \"(6.86, 6.92)\": 460.0, \"(6.92, 6.98)\": 489.1, \"(6.98, 7.07)\": 506.5, \"(7.07, 7.19)\": 552.4, \"(7.19, 7.27)\": 571.9, \"(7.27, 7.37)\": 598.3, \"(7.37, 7.45)\": 628.4, \"(7.45, 7.55)\": 647.4, \"(7.55, 7.64)\": 671.7, \"(7.64, 7.74)\": 696.5, \"(7.74, 7.84)\": 716.9, \"(7.84, 7.96)\": 735.1, \"(7.96, 8.08)\": 754.5, \"(8.08, 8.23)\": 774.6, \"(8.23, 8.45)\": 792.5, \"(8.45, 8.83)\": 811.4, \"(8.83, 9.75)\": 829.2, \"(9.75, 10.0)\": 847.7}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.94)\": -3.18, \"(-9.94, -9.89)\": -3.06, \"(-9.89, -9.81)\": -2.93, \"(-9.81, -9.7)\": -2.81, \"(-9.7, -9.59)\": -2.67, \"(-9.59, -9.47)\": -2.54, \"(-9.47, -9.35)\": -2.42, \"(-9.35, -9.21)\": -2.29, \"(-9.21, -9.07)\": -2.18, \"(-9.07, -8.92)\": -2.05, \"(-8.92, -8.79)\": -1.94, \"(-8.79, -8.64)\": -1.82, \"(-8.64, -8.47)\": -1.71, \"(-8.47, -8.3)\": -1.57, \"(-8.3, -8.14)\": -1.45, \"(-8.14, -7.96)\": -1.34, \"(-7.96, -7.77)\": -1.21, \"(-7.77, -7.55)\": -1.07, \"(-7.55, -7.4)\": -0.95, \"(-7.4, -7.21)\": -0.84, \"(-7.21, -7.02)\": -0.72, \"(-7.02, -6.83)\": -0.61, \"(-6.83, -6.64)\": -0.49, \"(-6.64, -6.45)\": -0.38, \"(-6.45, -6.27)\": -0.26, \"(-6.27, -6.05)\": -0.15, \"(-6.05, -5.84)\": -0.02, \"(-5.84, -5.65)\": 0.09, \"(-5.65, -5.43)\": 0.21, \"(-5.43, -5.21)\": 0.33, \"(-5.21, -5.02)\": 0.44, \"(-5.02, -4.83)\": 0.56, \"(-4.83, -4.61)\": 0.67, \"(-4.61, -4.41)\": 0.78, \"(-4.41, -4.21)\": 0.89, \"(-4.21, -3.99)\": 1.01, \"(-3.99, -3.79)\": 1.13, \"(-3.79, -3.57)\": 1.24, \"(-3.57, -3.35)\": 1.36, \"(-3.35, -3.14)\": 1.47, \"(-3.14, -2.92)\": 1.58, \"(-2.92, -2.68)\": 1.69, \"(-2.68, -2.46)\": 1.82, \"(-2.46, -2.24)\": 1.93, \"(-2.24, -2.0)\": 2.05, \"(-2.0, -1.79)\": 2.16, \"(-1.79, -1.56)\": 2.28, \"(-1.56, -1.32)\": 2.4, \"(-1.32, -1.09)\": 2.51, \"(-1.09, -0.85)\": 2.63, \"(-0.85, -0.56)\": 2.76, \"(-0.56, -0.3)\": 2.9, \"(-0.3, -0.06)\": 3.02, \"(-0.06, 0.18)\": 3.13, \"(0.18, 0.43)\": 3.26, \"(0.43, 0.67)\": 3.38, \"(0.67, 0.94)\": 3.5, \"(0.94, 1.17)\": 3.62, \"(1.17, 1.41)\": 3.74, \"(1.41, 1.63)\": 3.85, \"(1.63, 1.88)\": 3.96, \"(1.88, 2.09)\": 4.07, \"(2.09, 2.35)\": 4.19, \"(2.35, 2.57)\": 4.3, \"(2.57, 2.82)\": 4.42, \"(2.82, 3.09)\": 4.53, \"(3.09, 3.34)\": 4.65, \"(3.34, 3.6)\": 4.78, \"(3.6, 3.86)\": 4.89, \"(3.86, 4.06)\": 5.01, \"(4.06, 4.33)\": 5.12, \"(4.33, 4.59)\": 5.23, \"(4.59, 4.81)\": 5.35, \"(4.81, 5.07)\": 5.47, \"(5.07, 5.32)\": 5.58, \"(5.32, 5.57)\": 5.69, \"(5.57, 5.81)\": 5.81, \"(5.81, 6.06)\": 5.92, \"(6.06, 6.32)\": 6.03, \"(6.32, 6.56)\": 6.15, \"(6.56, 6.85)\": 6.26, \"(6.85, 7.16)\": 6.41, \"(7.16, 7.44)\": 6.54, \"(7.44, 7.7)\": 6.66, \"(7.7, 7.93)\": 6.78, \"(7.93, 8.2)\": 6.89, \"(8.2, 8.49)\": 7.01, \"(8.49, 8.71)\": 7.12, \"(8.71, 8.99)\": 7.24, \"(8.99, 9.25)\": 7.35, \"(9.25, 9.55)\": 7.49, \"(9.55, 9.78)\": 7.6, \"(9.78, 9.94)\": 7.71}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.97)\": -7.32, \"(-9.97, -9.95)\": -6.48, \"(-9.95, -9.94)\": -6.27, \"(-9.94, -9.93)\": -6.03, \"(-9.93, -9.9)\": -5.86, \"(-9.9, -9.87)\": -5.49, \"(-9.87, -9.84)\": -5.3, \"(-9.84, -9.79)\": -4.94, \"(-9.79, -9.73)\": -4.79, \"(-9.73, -9.67)\": -4.46, \"(-9.67, -9.62)\": -4.28, \"(-9.62, -9.55)\": -4.13, \"(-9.55, -9.47)\": -3.95, \"(-9.47, -9.41)\": -3.76, \"(-9.41, -9.32)\": -3.63, \"(-9.32, -9.22)\": -3.48, \"(-9.22, -9.11)\": -3.3, \"(-9.11, -9.01)\": -3.16, \"(-9.01, -8.89)\": -3.0, \"(-8.89, -8.77)\": -2.84, \"(-8.77, -8.61)\": -2.67, \"(-8.61, -8.47)\": -2.53, \"(-8.47, -8.31)\": -2.38, \"(-8.31, -8.13)\": -2.24, \"(-8.13, -7.95)\": -2.07, \"(-7.95, -7.77)\": -1.93, \"(-7.77, -7.58)\": -1.78, \"(-7.58, -7.37)\": -1.63, \"(-7.37, -7.15)\": -1.49, \"(-7.15, -6.96)\": -1.33, \"(-6.96, -6.74)\": -1.19, \"(-6.74, -6.5)\": -1.05, \"(-6.5, -6.27)\": -0.91, \"(-6.27, -6.03)\": -0.77, \"(-6.03, -5.81)\": -0.63, \"(-5.81, -5.53)\": -0.49, \"(-5.53, -5.28)\": -0.35, \"(-5.28, -5.01)\": -0.21, \"(-5.01, -4.74)\": -0.06, \"(-4.74, -4.48)\": 0.09, \"(-4.48, -4.17)\": 0.23, \"(-4.17, -3.9)\": 0.37, \"(-3.9, -3.61)\": 0.52, \"(-3.61, -3.34)\": 0.66, \"(-3.34, -3.05)\": 0.8, \"(-3.05, -2.73)\": 0.94, \"(-2.73, -2.42)\": 1.08, \"(-2.42, -2.1)\": 1.24, \"(-2.1, -1.8)\": 1.38, \"(-1.8, -1.43)\": 1.52, \"(-1.43, -1.08)\": 1.69, \"(-1.08, -0.76)\": 1.83, \"(-0.76, -0.43)\": 1.98, \"(-0.43, -0.09)\": 2.12, \"(-0.09, 0.24)\": 2.27, \"(0.24, 0.56)\": 2.41, \"(0.56, 0.86)\": 2.55, \"(0.86, 1.22)\": 2.69, \"(1.22, 1.54)\": 2.83, \"(1.54, 1.88)\": 2.97, \"(1.88, 2.21)\": 3.11, \"(2.21, 2.55)\": 3.25, \"(2.55, 2.9)\": 3.39, \"(2.9, 3.25)\": 3.53, \"(3.25, 3.57)\": 3.67, \"(3.57, 3.94)\": 3.81, \"(3.94, 4.28)\": 3.95, \"(4.28, 4.68)\": 4.09, \"(4.68, 5.04)\": 4.25, \"(5.04, 5.39)\": 4.39, \"(5.39, 5.71)\": 4.53, \"(5.71, 6.07)\": 4.67, \"(6.07, 6.43)\": 4.8, \"(6.43, 6.8)\": 4.96, \"(6.8, 7.18)\": 5.09, \"(7.18, 7.5)\": 5.23, \"(7.5, 7.87)\": 5.37, \"(7.87, 8.25)\": 5.51, \"(8.25, 8.62)\": 5.65, \"(8.62, 8.97)\": 5.79, \"(8.97, 9.33)\": 5.93, \"(9.33, 9.71)\": 6.08, \"(9.71, 9.99)\": 6.22}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.99, -9.9)\": 3.341, \"(-9.9, -9.81)\": 3.405, \"(-9.81, -9.69)\": 3.474, \"(-9.69, -9.56)\": 3.538, \"(-9.56, -9.42)\": 3.603, \"(-9.42, -9.2)\": 3.67, \"(-9.2, -8.16)\": 3.734, \"(-8.16, -7.91)\": 3.668, \"(-7.91, -7.7)\": 3.606, \"(-7.7, -7.48)\": 3.543, \"(-7.48, -7.27)\": 3.477, \"(-7.27, -7.08)\": 3.414, \"(-7.08, -6.89)\": 3.352, \"(-6.89, -6.67)\": 3.279, \"(-6.67, -6.47)\": 3.216, \"(-6.47, -6.29)\": 3.152, \"(-6.29, -6.08)\": 3.089, \"(-6.08, -5.88)\": 3.026, \"(-5.88, -5.69)\": 2.959, \"(-5.69, -5.52)\": 2.898, \"(-5.52, -5.32)\": 2.829, \"(-5.32, -5.09)\": 2.761, \"(-5.09, -4.9)\": 2.696, \"(-4.9, -4.69)\": 2.629, \"(-4.69, -4.46)\": 2.552, \"(-4.46, -4.25)\": 2.487, \"(-4.25, -4.04)\": 2.408, \"(-4.04, -3.85)\": 2.343, \"(-3.85, -3.65)\": 2.279, \"(-3.65, -3.46)\": 2.215, \"(-3.46, -3.25)\": 2.149, \"(-3.25, -3.04)\": 2.073, \"(-3.04, -2.85)\": 2.006, \"(-2.85, -2.65)\": 1.942, \"(-2.65, -2.46)\": 1.881, \"(-2.46, -2.26)\": 1.816, \"(-2.26, -2.07)\": 1.748, \"(-2.07, -1.87)\": 1.685, \"(-1.87, -1.68)\": 1.621, \"(-1.68, -1.47)\": 1.553, \"(-1.47, -1.29)\": 1.488, \"(-1.29, -1.09)\": 1.421, \"(-1.09, -0.9)\": 1.357, \"(-0.9, -0.71)\": 1.295, \"(-0.71, -0.52)\": 1.232, \"(-0.52, -0.33)\": 1.167, \"(-0.33, -0.12)\": 1.104, \"(-0.12, 0.07)\": 1.041, \"(0.07, 0.24)\": 0.973, \"(0.24, 0.46)\": 0.911, \"(0.46, 0.66)\": 0.843, \"(0.66, 0.84)\": 0.777, \"(0.84, 1.04)\": 0.716, \"(1.04, 1.24)\": 0.654, \"(1.24, 1.42)\": 0.588, \"(1.42, 1.6)\": 0.524, \"(1.6, 1.79)\": 0.463, \"(1.79, 1.99)\": 0.397, \"(1.99, 2.19)\": 0.334, \"(2.19, 2.39)\": 0.268, \"(2.39, 2.61)\": 0.199, \"(2.61, 2.79)\": 0.131, \"(2.79, 2.98)\": 0.067, \"(2.98, 3.2)\": -0.003, \"(3.2, 3.39)\": -0.068, \"(3.39, 3.58)\": -0.133, \"(3.58, 3.77)\": -0.195, \"(3.77, 3.96)\": -0.259, \"(3.96, 4.14)\": -0.32, \"(4.14, 4.37)\": -0.391, \"(4.37, 4.55)\": -0.457, \"(4.55, 4.78)\": -0.534, \"(4.78, 4.98)\": -0.598, \"(4.98, 5.21)\": -0.671, \"(5.21, 5.41)\": -0.734, \"(5.41, 5.59)\": -0.802, \"(5.59, 5.78)\": -0.867, \"(5.78, 5.99)\": -0.935, \"(5.99, 6.18)\": -0.997, \"(6.18, 6.36)\": -1.066, \"(6.36, 6.56)\": -1.127, \"(6.56, 6.76)\": -1.189, \"(6.76, 6.94)\": -1.255, \"(6.94, 7.13)\": -1.317, \"(7.13, 7.32)\": -1.38, \"(7.32, 7.49)\": -1.444, \"(7.49, 7.69)\": -1.508, \"(7.69, 7.91)\": -1.571, \"(7.91, 8.09)\": -1.636, \"(8.09, 8.3)\": -1.698, \"(8.3, 8.54)\": -1.777, \"(8.54, 8.75)\": -1.855, \"(8.75, 8.94)\": -1.921, \"(8.94, 9.12)\": -1.983, \"(9.12, 9.32)\": -2.047, \"(9.32, 9.51)\": -2.111, \"(9.51, 9.7)\": -2.173, \"(9.7, 9.89)\": -2.234, \"(9.89, 9.97)\": -2.3}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.96, -9.89)\": 3.433, \"(-9.89, -9.83)\": 3.497, \"(-9.83, -9.73)\": 3.571, \"(-9.73, -8.89)\": 3.642, \"(-8.89, -8.74)\": 3.719, \"(-8.74, -8.29)\": 3.829, \"(-8.29, -8.21)\": 3.767, \"(-8.21, -8.13)\": 3.699, \"(-8.13, -8.04)\": 3.629, \"(-8.04, -7.94)\": 3.562, \"(-7.94, -7.05)\": 3.496, \"(-7.05, -6.94)\": 3.413, \"(-6.94, -6.86)\": 3.298, \"(-6.86, -6.76)\": 3.227, \"(-6.76, -6.66)\": 3.161, \"(-6.66, -5.82)\": 3.094, \"(-5.82, -5.75)\": 3.024, \"(-5.75, -5.67)\": 2.946, \"(-5.67, -5.56)\": 2.874, \"(-5.56, -5.43)\": 2.767, \"(-5.43, -4.59)\": 2.686, \"(-4.59, -4.49)\": 2.618, \"(-4.49, -4.42)\": 2.546, \"(-4.42, -4.38)\": 2.483, \"(-4.38, -4.29)\": 2.42, \"(-4.29, -4.2)\": 2.356, \"(-4.2, -4.02)\": 2.288, \"(-4.02, -3.63)\": 2.225, \"(-3.63, -3.36)\": 2.293, \"(-3.36, -3.25)\": 2.225, \"(-3.25, -3.16)\": 2.126, \"(-3.16, -3.08)\": 2.056, \"(-3.08, -3.02)\": 1.985, \"(-3.02, -2.9)\": 1.914, \"(-2.9, -2.06)\": 1.839, \"(-2.06, -1.98)\": 1.774, \"(-1.98, -1.91)\": 1.71, \"(-1.91, -1.82)\": 1.634, \"(-1.82, -1.74)\": 1.549, \"(-1.74, -1.59)\": 1.485, \"(-1.59, -0.77)\": 1.401, \"(-0.77, -0.7)\": 1.331, \"(-0.7, -0.62)\": 1.26, \"(-0.62, -0.57)\": 1.198, \"(-0.57, -0.46)\": 1.124, \"(-0.46, -0.25)\": 1.032, \"(-0.25, 0.12)\": 0.968, \"(0.12, 0.42)\": 1.031, \"(0.42, 0.5)\": 0.962, \"(0.5, 0.61)\": 0.88, \"(0.61, 0.68)\": 0.802, \"(0.68, 0.76)\": 0.738, \"(0.76, 0.87)\": 0.657, \"(0.87, 1.69)\": 0.591, \"(1.69, 1.78)\": 0.528, \"(1.78, 1.86)\": 0.453, \"(1.86, 1.98)\": 0.344, \"(1.98, 2.08)\": 0.278, \"(2.08, 2.93)\": 0.19, \"(2.93, 3.02)\": 0.12, \"(3.02, 3.1)\": 0.052, \"(3.1, 3.17)\": -0.03, \"(3.17, 3.25)\": -0.098, \"(3.25, 3.37)\": -0.178, \"(3.37, 4.23)\": -0.245, \"(4.23, 4.31)\": -0.325, \"(4.31, 4.37)\": -0.391, \"(4.37, 4.48)\": -0.476, \"(4.48, 4.57)\": -0.562, \"(4.57, 4.74)\": -0.624, \"(4.74, 5.53)\": -0.7, \"(5.53, 5.61)\": -0.78, \"(5.61, 5.66)\": -0.846, \"(5.66, 5.77)\": -0.92, \"(5.77, 5.87)\": -1.014, \"(5.87, 6.72)\": -1.078, \"(6.72, 6.82)\": -1.148, \"(6.82, 6.92)\": -1.227, \"(6.92, 7.01)\": -1.336, \"(7.01, 7.12)\": -1.404, \"(7.12, 7.98)\": -1.498, \"(7.98, 8.06)\": -1.563, \"(8.06, 8.13)\": -1.626, \"(8.13, 8.19)\": -1.692, \"(8.19, 8.29)\": -1.772, \"(8.29, 8.38)\": -1.835, \"(8.38, 9.24)\": -1.916, \"(9.24, 9.32)\": -1.984, \"(9.32, 9.39)\": -2.047, \"(9.39, 9.45)\": -2.118, \"(9.45, 9.56)\": -2.21, \"(9.56, 9.66)\": -2.276, \"(9.66, 9.99)\": -2.345}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.97, -9.89)\": -6.85, \"(-9.89, -9.78)\": -6.64, \"(-9.78, -8.97)\": -6.42, \"(-8.97, -8.87)\": -6.19, \"(-8.87, -8.78)\": -5.94, \"(-8.78, -8.69)\": -5.72, \"(-8.69, -8.62)\": -5.52, \"(-8.62, -8.38)\": -5.3, \"(-8.38, -7.68)\": -5.1, \"(-7.68, -7.59)\": -4.87, \"(-7.59, -7.48)\": -4.62, \"(-7.48, -7.39)\": -4.36, \"(-7.39, -7.23)\": -4.1, \"(-7.23, -6.45)\": -3.9, \"(-6.45, -6.36)\": -3.66, \"(-6.36, -6.28)\": -3.45, \"(-6.28, -6.18)\": -3.23, \"(-6.18, -6.08)\": -2.99, \"(-6.08, -5.23)\": -2.75, \"(-5.23, -5.12)\": -2.47, \"(-5.12, -5.04)\": -2.22, \"(-5.04, -4.98)\": -1.99, \"(-4.98, -4.83)\": -1.77, \"(-4.83, -4.67)\": -1.54, \"(-4.67, -3.91)\": -1.35, \"(-3.91, -3.8)\": -1.08, \"(-3.8, -3.72)\": -0.83, \"(-3.72, -3.61)\": -0.59, \"(-3.61, -3.5)\": -0.38, \"(-3.5, -2.71)\": -0.17, \"(-2.71, -2.6)\": 0.04, \"(-2.6, -2.51)\": 0.34, \"(-2.51, -2.4)\": 0.57, \"(-2.4, -2.31)\": 0.79, \"(-2.31, -2.06)\": 0.99, \"(-2.06, -1.39)\": 1.19, \"(-1.39, -1.31)\": 1.42, \"(-1.31, -1.21)\": 1.62, \"(-1.21, -1.09)\": 1.96, \"(-1.09, -0.93)\": 2.19, \"(-0.93, -0.16)\": 2.4, \"(-0.16, -0.04)\": 2.69, \"(-0.04, 0.06)\": 2.96, \"(0.06, 0.17)\": 3.21, \"(0.17, 0.32)\": 3.43, \"(0.32, 1.09)\": 3.65, \"(1.09, 1.21)\": 3.87, \"(1.21, 1.32)\": 4.23, \"(1.32, 1.4)\": 4.44, \"(1.4, 1.52)\": 4.66, \"(1.52, 2.32)\": 4.86, \"(2.32, 2.42)\": 5.09, \"(2.42, 2.5)\": 5.29, \"(2.5, 2.58)\": 5.52, \"(2.58, 2.67)\": 5.74, \"(2.67, 2.86)\": 5.95, \"(2.86, 3.61)\": 6.18, \"(3.61, 3.7)\": 6.4, \"(3.7, 3.81)\": 6.63, \"(3.81, 3.89)\": 6.92, \"(3.89, 4.02)\": 7.13, \"(4.02, 4.83)\": 7.34, \"(4.83, 4.92)\": 7.56, \"(4.92, 5.02)\": 7.76, \"(5.02, 5.14)\": 8.12, \"(5.14, 5.24)\": 8.34, \"(5.24, 6.06)\": 8.55, \"(6.06, 6.17)\": 8.78, \"(6.17, 6.25)\": 9.02, \"(6.25, 6.34)\": 9.25, \"(6.34, 6.44)\": 9.46, \"(6.44, 6.57)\": 9.68, \"(6.57, 7.36)\": 9.9, \"(7.36, 7.45)\": 10.12, \"(7.45, 7.53)\": 10.34, \"(7.53, 7.61)\": 10.59, \"(7.61, 7.72)\": 10.79, \"(7.72, 8.56)\": 11.06, \"(8.56, 8.66)\": 11.27, \"(8.66, 8.76)\": 11.5, \"(8.76, 8.84)\": 11.72, \"(8.84, 8.92)\": 11.94, \"(8.92, 9.03)\": 12.15, \"(9.03, 9.85)\": 12.37, \"(9.85, 9.96)\": 12.6, \"(9.96, 9.99)\": 12.84}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.95, -9.85)\": -96.98, \"(-9.85, -9.74)\": -95.94, \"(-9.74, -9.63)\": -94.8, \"(-9.63, -9.56)\": -93.65, \"(-9.56, -9.47)\": -92.65, \"(-9.47, -9.41)\": -91.44, \"(-9.41, -9.35)\": -90.41, \"(-9.35, -9.29)\": -88.54, \"(-9.29, -9.23)\": -87.51, \"(-9.23, -9.17)\": -86.02, \"(-9.17, -9.13)\": -84.45, \"(-9.13, -9.09)\": -83.41, \"(-9.09, -9.05)\": -82.37, \"(-9.05, -9.01)\": -81.27, \"(-9.01, -8.97)\": -80.15, \"(-8.97, -8.91)\": -78.95, \"(-8.91, -8.85)\": -77.18, \"(-8.85, -8.77)\": -76.12, \"(-8.77, -8.71)\": -74.93, \"(-8.71, -8.59)\": -73.81, \"(-8.59, -8.43)\": -72.61, \"(-8.43, -8.3)\": -71.49, \"(-8.3, -8.24)\": -70.38, \"(-8.24, -8.14)\": -69.26, \"(-8.14, -8.06)\": -67.86, \"(-8.06, -7.96)\": -66.05, \"(-7.96, -7.9)\": -63.79, \"(-7.9, -7.86)\": -62.77, \"(-7.86, -7.8)\": -61.37, \"(-7.8, -7.74)\": -59.93, \"(-7.74, -7.68)\": -58.47, \"(-7.68, -7.61)\": -57.05, \"(-7.61, -7.54)\": -55.93, \"(-7.54, -7.46)\": -54.73, \"(-7.46, -7.3)\": -53.6, \"(-7.3, -7.12)\": -52.57, \"(-7.12, -6.98)\": -51.57, \"(-6.98, -6.89)\": -50.52, \"(-6.89, -6.83)\": -48.97, \"(-6.83, -6.73)\": -47.74, \"(-6.73, -6.67)\": -45.99, \"(-6.67, -6.6)\": -44.77, \"(-6.6, -6.55)\": -43.47, \"(-6.55, -6.5)\": -42.24, \"(-6.5, -6.44)\": -41.21, \"(-6.44, -6.37)\": -39.75, \"(-6.37, -6.29)\": -38.54, \"(-6.29, -6.17)\": -37.43, \"(-6.17, -5.89)\": -36.3, \"(-5.89, -5.67)\": -35.29, \"(-5.67, -5.58)\": -33.99, \"(-5.58, -5.51)\": -32.85, \"(-5.51, -5.45)\": -31.78, \"(-5.45, -5.41)\": -30.53, \"(-5.41, -5.33)\": -29.17, \"(-5.33, -5.28)\": -28.01, \"(-5.28, -5.21)\": -26.99, \"(-5.21, -5.14)\": -25.71, \"(-5.14, -5.06)\": -24.57, \"(-5.06, -4.9)\": -23.55, \"(-4.9, -4.42)\": -22.46, \"(-4.42, -4.31)\": -21.33, \"(-4.31, -4.24)\": -20.29, \"(-4.24, -4.18)\": -19.11, \"(-4.18, -4.11)\": -18.08, \"(-4.11, -4.05)\": -16.94, \"(-4.05, -3.97)\": -15.81, \"(-3.97, -3.93)\": -14.65, \"(-3.93, -3.8)\": -13.56, \"(-3.8, -3.08)\": -12.39, \"(-3.08, -3.0)\": -11.33, \"(-3.0, -2.9)\": -10.23, \"(-2.9, -2.81)\": -8.88, \"(-2.81, -2.75)\": -7.5, \"(-2.75, -2.64)\": -6.39, \"(-2.64, -2.43)\": -5.24, \"(-2.43, -2.12)\": -4.21, \"(-2.12, -1.73)\": -5.32, \"(-1.73, -1.65)\": -4.3, \"(-1.65, -1.5)\": -3.09, \"(-1.5, -1.36)\": -1.18, \"(-1.36, -0.93)\": -0.05, \"(-0.93, -0.75)\": -1.09, \"(-0.75, -0.41)\": -2.13, \"(-0.41, -0.32)\": -1.04, \"(-0.32, -0.18)\": 0.09, \"(-0.18, 0.27)\": 1.33, \"(0.27, 0.39)\": 0.24, \"(0.39, 0.57)\": -1.15, \"(0.57, 0.91)\": -2.18, \"(0.91, 1.03)\": -1.13, \"(1.03, 1.46)\": -0.12, \"(1.46, 1.55)\": -1.15, \"(1.55, 1.63)\": -2.15, \"(1.63, 1.73)\": -3.38, \"(1.73, 1.94)\": -4.53, \"(1.94, 2.23)\": -5.55, \"(2.23, 2.67)\": -4.53, \"(2.67, 2.75)\": -5.81, \"(2.75, 2.82)\": -6.89, \"(2.82, 2.89)\": -8.04, \"(2.89, 2.99)\": -9.27, \"(2.99, 3.12)\": -10.58, \"(3.12, 3.84)\": -11.76, \"(3.84, 3.94)\": -13.15, \"(3.94, 4.0)\": -14.39, \"(4.0, 4.08)\": -15.6, \"(4.08, 4.13)\": -16.82, \"(4.13, 4.23)\": -18.17, \"(4.23, 4.3)\": -19.3, \"(4.3, 4.4)\": -20.35, \"(4.4, 4.82)\": -21.42, \"(4.82, 5.05)\": -22.45, \"(5.05, 5.15)\": -23.97, \"(5.15, 5.21)\": -25.05, \"(5.21, 5.27)\": -26.11, \"(5.27, 5.33)\": -27.31, \"(5.33, 5.41)\": -28.78, \"(5.41, 5.46)\": -30.19, \"(5.46, 5.56)\": -31.24, \"(5.56, 5.66)\": -33.01, \"(5.66, 5.8)\": -34.05, \"(5.8, 6.13)\": -35.09, \"(6.13, 6.27)\": -36.25, \"(6.27, 6.33)\": -37.35, \"(6.33, 6.4)\": -38.37, \"(6.4, 6.48)\": -39.44, \"(6.48, 6.54)\": -41.22, \"(6.54, 6.6)\": -42.3, \"(6.6, 6.66)\": -44.11, \"(6.66, 6.73)\": -45.14, \"(6.73, 6.8)\": -46.96, \"(6.8, 6.86)\": -47.98, \"(6.86, 6.93)\": -49.08, \"(6.93, 7.05)\": -50.11, \"(7.05, 7.24)\": -51.35, \"(7.24, 7.43)\": -52.38, \"(7.43, 7.54)\": -53.78, \"(7.54, 7.59)\": -54.8, \"(7.59, 7.69)\": -56.4, \"(7.69, 7.76)\": -57.89, \"(7.76, 7.83)\": -59.98, \"(7.83, 7.89)\": -61.57, \"(7.89, 7.91)\": -62.59, \"(7.91, 7.97)\": -63.66, \"(7.97, 8.02)\": -64.94, \"(8.02, 8.08)\": -66.03, \"(8.08, 8.16)\": -67.24, \"(8.16, 8.25)\": -68.84, \"(8.25, 8.39)\": -70.1, \"(8.39, 8.51)\": -71.25, \"(8.51, 8.65)\": -72.26, \"(8.65, 8.73)\": -73.48, \"(8.73, 8.83)\": -74.78, \"(8.83, 8.87)\": -76.13, \"(8.87, 8.95)\": -77.27, \"(8.95, 9.0)\": -79.2, \"(9.0, 9.08)\": -80.73, \"(9.08, 9.18)\": -83.81, \"(9.18, 9.22)\": -85.13, \"(9.22, 9.28)\": -86.23, \"(9.28, 9.34)\": -87.95, \"(9.34, 9.39)\": -89.12, \"(9.39, 9.45)\": -90.15, \"(9.45, 9.53)\": -91.48, \"(9.53, 9.61)\": -92.6, \"(9.61, 9.71)\": -93.6, \"(9.71, 9.83)\": -94.73, \"(9.83, 9.92)\": -95.84, \"(9.92, 10.0)\": -97.07}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.92)\": -119.8, \"(-9.92, -9.86)\": -118.3, \"(-9.86, -9.69)\": -116.7, \"(-9.69, -9.51)\": -112.0, \"(-9.51, -9.42)\": -109.8, \"(-9.42, -9.33)\": -108.4, \"(-9.33, -9.27)\": -106.7, \"(-9.27, -9.15)\": -105.3, \"(-9.15, -9.07)\": -103.4, \"(-9.07, -8.96)\": -101.8, \"(-8.96, -8.87)\": -99.9, \"(-8.87, -8.78)\": -98.3, \"(-8.78, -8.68)\": -96.9, \"(-8.68, -8.58)\": -95.1, \"(-8.58, -8.48)\": -93.4, \"(-8.48, -8.39)\": -91.9, \"(-8.39, -8.29)\": -90.1, \"(-8.29, -8.2)\": -88.5, \"(-8.2, -8.1)\": -87.1, \"(-8.1, -8.02)\": -85.7, \"(-8.02, -7.92)\": -84.2, \"(-7.92, -7.8)\": -82.6, \"(-7.8, -7.66)\": -80.6, \"(-7.66, -7.51)\": -77.8, \"(-7.51, -7.4)\": -76.3, \"(-7.4, -7.29)\": -74.8, \"(-7.29, -7.15)\": -72.7, \"(-7.15, -7.05)\": -71.0, \"(-7.05, -6.92)\": -69.3, \"(-6.92, -6.81)\": -67.7, \"(-6.81, -6.69)\": -66.2, \"(-6.69, -6.56)\": -64.5, \"(-6.56, -6.43)\": -62.6, \"(-6.43, -6.31)\": -61.2, \"(-6.31, -6.19)\": -59.8, \"(-6.19, -6.05)\": -58.3, \"(-6.05, -5.91)\": -56.4, \"(-5.91, -5.79)\": -54.9, \"(-5.79, -5.65)\": -53.4, \"(-5.65, -5.53)\": -51.9, \"(-5.53, -5.4)\": -50.5, \"(-5.4, -5.24)\": -48.9, \"(-5.24, -5.11)\": -47.5, \"(-5.11, -4.96)\": -46.0, \"(-4.96, -4.79)\": -44.5, \"(-4.79, -4.63)\": -42.8, \"(-4.63, -4.42)\": -41.0, \"(-4.42, -4.25)\": -39.5, \"(-4.25, -4.03)\": -37.7, \"(-4.03, -3.83)\": -36.1, \"(-3.83, -3.63)\": -34.7, \"(-3.63, -3.43)\": -33.0, \"(-3.43, -3.18)\": -31.6, \"(-3.18, -2.99)\": -30.2, \"(-2.99, -2.68)\": -28.7, \"(-2.68, -2.39)\": -27.1, \"(-2.39, -2.05)\": -25.6, \"(-2.05, -1.69)\": -24.2, \"(-1.69, -1.15)\": -22.7, \"(-1.15, -0.52)\": -21.3, \"(-0.52, -0.32)\": -19.9, \"(-0.32, -0.25)\": -18.4, \"(-0.25, -0.21)\": -16.9, \"(-0.21, -0.15)\": -15.3, \"(-0.15, -0.09)\": -11.4, \"(-0.09, -0.06)\": -6.5, \"(-0.06, -0.03)\": -5.0, \"(-0.03, -0.01)\": -3.0, \"(-0.01, 0.02)\": 0.8, \"(0.02, 0.04)\": 2.7, \"(0.04, 0.06)\": 4.6, \"(0.06, 0.08)\": 6.6, \"(0.08, 0.11)\": 9.0, \"(0.11, 0.13)\": 10.4, \"(0.13, 0.17)\": 12.5, \"(0.17, 0.23)\": 14.6, \"(0.23, 0.29)\": 16.2, \"(0.29, 0.42)\": 17.7, \"(0.42, 1.51)\": 19.2, \"(1.51, 1.95)\": 17.6, \"(1.95, 2.3)\": 16.2, \"(2.3, 2.59)\": 14.7, \"(2.59, 2.87)\": 13.2, \"(2.87, 3.12)\": 11.7, \"(3.12, 3.34)\": 10.1, \"(3.34, 3.57)\": 8.7, \"(3.57, 3.76)\": 7.2, \"(3.76, 3.98)\": 5.7, \"(3.98, 4.17)\": 4.0, \"(4.17, 4.34)\": 2.4, \"(4.34, 4.52)\": 1.0, \"(4.52, 4.65)\": -0.4, \"(4.65, 4.82)\": -1.9, \"(4.82, 4.97)\": -3.3, \"(4.97, 5.12)\": -4.8, \"(5.12, 5.28)\": -6.4, \"(5.28, 5.43)\": -8.0, \"(5.43, 5.55)\": -9.5, \"(5.55, 5.71)\": -11.0, \"(5.71, 5.85)\": -12.8, \"(5.85, 5.97)\": -14.3, \"(5.97, 6.09)\": -15.9, \"(6.09, 6.21)\": -17.4, \"(6.21, 6.33)\": -18.9, \"(6.33, 6.46)\": -20.3, \"(6.46, 6.59)\": -21.9, \"(6.59, 6.71)\": -23.4, \"(6.71, 6.81)\": -25.1, \"(6.81, 6.92)\": -26.6, \"(6.92, 7.04)\": -28.0, \"(7.04, 7.16)\": -29.8, \"(7.16, 7.25)\": -31.4, \"(7.25, 7.37)\": -32.8, \"(7.37, 7.47)\": -34.3, \"(7.47, 7.6)\": -36.1, \"(7.6, 7.72)\": -38.0, \"(7.72, 7.83)\": -39.7, \"(7.83, 7.93)\": -41.4, \"(7.93, 8.02)\": -43.2, \"(8.02, 8.13)\": -44.6, \"(8.13, 8.23)\": -46.2, \"(8.23, 8.33)\": -48.1, \"(8.33, 8.43)\": -49.6, \"(8.43, 8.5)\": -51.0, \"(8.5, 8.6)\": -52.5, \"(8.6, 8.69)\": -54.0, \"(8.69, 8.75)\": -55.5, \"(8.75, 8.84)\": -56.9, \"(8.84, 8.96)\": -58.7, \"(8.96, 9.06)\": -60.5, \"(9.06, 9.16)\": -62.3, \"(9.16, 9.25)\": -64.1, \"(9.25, 9.33)\": -65.7, \"(9.33, 9.41)\": -67.3, \"(9.41, 9.48)\": -68.7, \"(9.48, 9.59)\": -70.3, \"(9.59, 9.69)\": -72.7, \"(9.69, 9.78)\": -74.2, \"(9.78, 9.83)\": -75.7, \"(9.83, 9.9)\": -77.2, \"(9.9, 9.99)\": -78.6}\\n',\n", + " 'Feature Name: x\\nFeature Type: continuous\\nGraph: {\"(-9.98, -9.91)\": 78.7, \"(-9.91, -9.85)\": 77.0, \"(-9.85, -9.79)\": 75.3, \"(-9.79, -9.72)\": 73.5, \"(-9.72, -9.65)\": 71.4, \"(-9.65, -9.58)\": 69.7, \"(-9.58, -9.51)\": 67.6, \"(-9.51, -9.44)\": 65.8, \"(-9.44, -9.38)\": 63.9, \"(-9.38, -9.3)\": 62.1, \"(-9.3, -9.23)\": 60.1, \"(-9.23, -9.14)\": 58.1, \"(-9.14, -9.07)\": 56.1, \"(-9.07, -8.97)\": 53.9, \"(-8.97, -8.89)\": 51.7, \"(-8.89, -8.82)\": 50.1, \"(-8.82, -8.73)\": 48.4, \"(-8.73, -8.64)\": 46.3, \"(-8.64, -8.56)\": 44.2, \"(-8.56, -8.48)\": 42.3, \"(-8.48, -8.38)\": 40.7, \"(-8.38, -8.27)\": 38.3, \"(-8.27, -8.17)\": 36.4, \"(-8.17, -8.06)\": 34.2, \"(-8.06, -7.97)\": 32.1, \"(-7.97, -7.86)\": 30.3, \"(-7.86, -7.76)\": 28.5, \"(-7.76, -7.62)\": 26.3, \"(-7.62, -7.48)\": 23.5, \"(-7.48, -7.37)\": 21.6, \"(-7.37, -7.29)\": 19.8, \"(-7.29, -7.18)\": 18.2, \"(-7.18, -7.05)\": 16.6, \"(-7.05, -6.95)\": 14.9, \"(-6.95, -6.83)\": 13.2, \"(-6.83, -6.68)\": 11.5, \"(-6.68, -6.57)\": 9.9, \"(-6.57, -6.43)\": 8.2, \"(-6.43, -6.31)\": 6.5, \"(-6.31, -6.13)\": 4.9, \"(-6.13, -5.94)\": 2.5, \"(-5.94, -5.76)\": 0.8, \"(-5.76, -5.58)\": -1.0, \"(-5.58, -5.39)\": -2.7, \"(-5.39, -5.15)\": -4.4, \"(-5.15, -4.91)\": -6.6, \"(-4.91, -4.67)\": -8.2, \"(-4.67, -4.41)\": -9.8, \"(-4.41, -4.12)\": -11.5, \"(-4.12, -3.77)\": -13.1, \"(-3.77, -3.36)\": -14.7, \"(-3.36, -2.78)\": -16.3, \"(-2.78, -1.56)\": -18.0, \"(-1.56, -0.74)\": -19.6, \"(-0.74, -0.57)\": -17.9, \"(-0.57, -0.46)\": -16.2, \"(-0.46, -0.36)\": -14.1, \"(-0.36, -0.29)\": -11.7, \"(-0.29, -0.23)\": -10.0, \"(-0.23, -0.17)\": -8.3, \"(-0.17, -0.11)\": -6.3, \"(-0.11, -0.06)\": -4.0, \"(-0.06, -0.03)\": -2.3, \"(-0.03, 0.03)\": -0.3, \"(0.03, 0.07)\": 1.5, \"(0.07, 0.13)\": 3.1, \"(0.13, 0.2)\": 5.8, \"(0.2, 0.24)\": 7.5, \"(0.24, 0.31)\": 9.2, \"(0.31, 0.38)\": 11.5, \"(0.38, 0.51)\": 13.4, \"(0.51, 0.68)\": 15.8, \"(0.68, 1.03)\": 17.6, \"(1.03, 2.83)\": 19.3, \"(2.83, 3.41)\": 17.7, \"(3.41, 3.85)\": 16.0, \"(3.85, 4.19)\": 14.2, \"(4.19, 4.48)\": 12.6, \"(4.48, 4.73)\": 11.0, \"(4.73, 4.96)\": 9.4, \"(4.96, 5.18)\": 7.8, \"(5.18, 5.36)\": 6.1, \"(5.36, 5.55)\": 4.5, \"(5.55, 5.71)\": 2.9, \"(5.71, 5.87)\": 1.3, \"(5.87, 6.03)\": -0.3, \"(6.03, 6.18)\": -2.1, \"(6.18, 6.32)\": -3.7, \"(6.32, 6.46)\": -5.5, \"(6.46, 6.6)\": -7.2, \"(6.6, 6.75)\": -8.9, \"(6.75, 6.88)\": -11.1, \"(6.88, 7.0)\": -12.7, \"(7.0, 7.1)\": -14.4, \"(7.1, 7.23)\": -16.1, \"(7.23, 7.34)\": -17.7, \"(7.34, 7.45)\": -20.0, \"(7.45, 7.55)\": -21.7, \"(7.55, 7.67)\": -23.5, \"(7.67, 7.77)\": -25.4, \"(7.77, 7.88)\": -27.3, \"(7.88, 7.98)\": -29.4, \"(7.98, 8.05)\": -31.1, \"(8.05, 8.17)\": -33.1, \"(8.17, 8.26)\": -34.8, \"(8.26, 8.39)\": -37.0, \"(8.39, 8.47)\": -39.6, \"(8.47, 8.56)\": -41.2, \"(8.56, 8.63)\": -42.8, \"(8.63, 8.72)\": -44.6, \"(8.72, 8.79)\": -46.4, \"(8.79, 8.87)\": -48.2, \"(8.87, 8.93)\": -50.4, \"(8.93, 9.03)\": -52.1, \"(9.03, 9.11)\": -54.1, \"(9.11, 9.19)\": -56.0, \"(9.19, 9.27)\": -57.9, \"(9.27, 9.32)\": -59.7, \"(9.32, 9.38)\": -61.3, \"(9.38, 9.46)\": -63.1, \"(9.46, 9.53)\": -64.9, \"(9.53, 9.57)\": -66.6, \"(9.57, 9.65)\": -68.2, \"(9.65, 9.74)\": -70.9, \"(9.74, 9.83)\": -72.7, \"(9.83, 9.9)\": -75.5, \"(9.9, 9.95)\": -77.2, \"(9.95, 10.0)\": -79.5}\\n']" + ] + }, + "execution_count": 123, "metadata": {}, "output_type": "execute_result" } @@ -5067,7 +4407,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 124, "metadata": {}, "outputs": [ { @@ -5085,7 +4425,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 125, "metadata": {}, "outputs": [], "source": [ @@ -5101,7 +4441,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 126, "metadata": {}, "outputs": [ { @@ -5112,15 +4452,15 @@ "\n", "Feature Name: x\n", "Feature Type: continuous\n", - "Graph: {\"(-9.99, -9.79)\": -9.99, \"(-9.79, -9.59)\": -9.78, \"(-9.59, -9.38)\": -9.58, \"(-9.38, -9.19)\": -9.38, \"(-9.19, -8.97)\": -9.16, \"(-8.97, -8.76)\": -8.96, \"(-8.76, -8.53)\": -8.74, \"(-8.53, -8.29)\": -8.51, \"(-8.29, -8.07)\": -8.27, \"(-8.07, -7.84)\": -8.04, \"(-7.84, -7.65)\": -7.84, \"(-7.65, -7.43)\": -7.62, \"(-7.43, -7.19)\": -7.41, \"(-7.19, -6.99)\": -7.19, \"(-6.99, -6.79)\": -6.98, \"(-6.79, -6.58)\": -6.78, \"(-6.58, -6.38)\": -6.58, \"(-6.38, -6.15)\": -6.36, \"(-6.15, -5.94)\": -6.14, \"(-5.94, -5.74)\": -5.94, \"(-5.74, -5.53)\": -5.73, \"(-5.53, -5.31)\": -5.5, \"(-5.31, -5.1)\": -5.3, \"(-5.1, -4.91)\": -5.09, \"(-4.91, -4.69)\": -4.88, \"(-4.69, -4.48)\": -4.66, \"(-4.48, -4.28)\": -4.46, \"(-4.28, -4.08)\": -4.25, \"(-4.08, -3.86)\": -4.05, \"(-3.86, -3.63)\": -3.85, \"(-3.63, -3.43)\": -3.63, \"(-3.43, -3.2)\": -3.42, \"(-3.2, -3.0)\": -3.2, \"(-3.0, -2.78)\": -2.99, \"(-2.78, -2.52)\": -2.71, \"(-2.52, -2.32)\": -2.5, \"(-2.32, -2.07)\": -2.28, \"(-2.07, -1.84)\": -2.05, \"(-1.84, -1.63)\": -1.83, \"(-1.63, -1.43)\": -1.62, \"(-1.43, -1.25)\": -1.42, \"(-1.25, -1.02)\": -1.21, \"(-1.02, -0.84)\": -1.01, \"(-0.84, -0.62)\": -0.81, \"(-0.62, -0.4)\": -0.61, \"(-0.4, -0.16)\": -0.36, \"(-0.16, 0.03)\": -0.14, \"(0.03, 0.26)\": 0.06, \"(0.26, 0.46)\": 0.27, \"(0.46, 0.68)\": 0.48, \"(0.68, 0.88)\": 0.69, \"(0.88, 1.11)\": 0.9, \"(1.11, 1.33)\": 1.13, \"(1.33, 1.55)\": 1.35, \"(1.55, 1.76)\": 1.56, \"(1.76, 1.97)\": 1.77, \"(1.97, 2.16)\": 1.98, \"(2.16, 2.37)\": 2.18, \"(2.37, 2.59)\": 2.39, \"(2.59, 2.83)\": 2.61, \"(2.83, 3.06)\": 2.86, \"(3.06, 3.31)\": 3.09, \"(3.31, 3.53)\": 3.33, \"(3.53, 3.77)\": 3.56, \"(3.77, 3.95)\": 3.77, \"(3.95, 4.16)\": 3.97, \"(4.16, 4.38)\": 4.18, \"(4.38, 4.62)\": 4.42, \"(4.62, 4.85)\": 4.63, \"(4.85, 5.06)\": 4.88, \"(5.06, 5.29)\": 5.09, \"(5.29, 5.49)\": 5.31, \"(5.49, 5.7)\": 5.51, \"(5.7, 5.91)\": 5.71, \"(5.91, 6.1)\": 5.92, \"(6.1, 6.32)\": 6.12, \"(6.32, 6.53)\": 6.33, \"(6.53, 6.7)\": 6.53, \"(6.7, 6.91)\": 6.73, \"(6.91, 7.14)\": 6.94, \"(7.14, 7.37)\": 7.14, \"(7.37, 7.58)\": 7.38, \"(7.58, 7.79)\": 7.59, \"(7.79, 7.97)\": 7.79, \"(7.97, 8.2)\": 8.0, \"(8.2, 8.42)\": 8.21, \"(8.42, 8.66)\": 8.45, \"(8.66, 8.87)\": 8.67, \"(8.87, 9.09)\": 8.88, \"(9.09, 9.31)\": 9.12, \"(9.31, 9.52)\": 9.33, \"(9.52, 9.72)\": 9.53, \"(9.72, 9.94)\": 9.73, \"(9.94, 9.95)\": 9.93}\n", + "Graph: {\"(-9.99, -9.87)\": -1.497, \"(-9.87, -9.71)\": -1.461, \"(-9.71, -9.58)\": -1.423, \"(-9.58, -9.45)\": -1.393, \"(-9.45, -9.32)\": -1.358, \"(-9.32, -9.17)\": -1.326, \"(-9.17, -9.05)\": -1.287, \"(-9.05, -8.9)\": -1.257, \"(-8.9, -8.79)\": -1.223, \"(-8.79, -8.67)\": -1.193, \"(-8.67, -8.54)\": -1.163, \"(-8.54, -8.38)\": -1.126, \"(-8.38, -8.25)\": -1.095, \"(-8.25, -8.13)\": -1.054, \"(-8.13, -7.97)\": -1.023, \"(-7.97, -7.84)\": -0.989, \"(-7.84, -7.72)\": -0.958, \"(-7.72, -7.6)\": -0.927, \"(-7.6, -7.49)\": -0.896, \"(-7.49, -7.35)\": -0.866, \"(-7.35, -7.24)\": -0.836, \"(-7.24, -7.13)\": -0.806, \"(-7.13, -7.0)\": -0.776, \"(-7.0, -6.84)\": -0.746, \"(-6.84, -6.72)\": -0.707, \"(-6.72, -6.59)\": -0.676, \"(-6.59, -6.44)\": -0.643, \"(-6.44, -6.29)\": -0.608, \"(-6.29, -6.12)\": -0.574, \"(-6.12, -5.97)\": -0.521, \"(-5.97, -5.82)\": -0.485, \"(-5.82, -5.69)\": -0.453, \"(-5.69, -5.57)\": -0.422, \"(-5.57, -5.44)\": -0.39, \"(-5.44, -5.31)\": -0.356, \"(-5.31, -5.17)\": -0.322, \"(-5.17, -5.05)\": -0.291, \"(-5.05, -4.92)\": -0.26, \"(-4.92, -4.8)\": -0.228, \"(-4.8, -4.67)\": -0.196, \"(-4.67, -4.54)\": -0.162, \"(-4.54, -4.4)\": -0.131, \"(-4.4, -4.25)\": -0.097, \"(-4.25, -4.14)\": -0.066, \"(-4.14, -4.02)\": -0.035, \"(-4.02, -3.89)\": -0.002, \"(-3.89, -3.73)\": 0.034, \"(-3.73, -3.59)\": 0.071, \"(-3.59, -3.46)\": 0.103, \"(-3.46, -3.33)\": 0.137, \"(-3.33, -3.19)\": 0.168, \"(-3.19, -3.05)\": 0.203, \"(-3.05, -2.94)\": 0.235, \"(-2.94, -2.79)\": 0.265, \"(-2.79, -2.67)\": 0.296, \"(-2.67, -2.52)\": 0.328, \"(-2.52, -2.37)\": 0.36, \"(-2.37, -2.19)\": 0.395, \"(-2.19, -2.01)\": 0.431, \"(-2.01, -1.83)\": 0.463, \"(-1.83, -1.56)\": 0.494, \"(-1.56, -0.93)\": 0.527, \"(-0.93, -0.81)\": 0.497, \"(-0.81, -0.66)\": 0.462, \"(-0.66, -0.52)\": 0.385, \"(-0.52, -0.44)\": 0.336, \"(-0.44, -0.37)\": 0.299, \"(-0.37, -0.31)\": 0.248, \"(-0.31, -0.26)\": 0.217, \"(-0.26, -0.2)\": 0.182, \"(-0.2, -0.16)\": 0.144, \"(-0.16, -0.1)\": 0.111, \"(-0.1, -0.04)\": 0.06, \"(-0.04, -0.01)\": 0.026, \"(-0.01, 0.09)\": -0.014, \"(0.09, 0.17)\": -0.087, \"(0.17, 0.26)\": -0.143, \"(0.26, 0.33)\": -0.206, \"(0.33, 0.39)\": -0.244, \"(0.39, 0.46)\": -0.278, \"(0.46, 0.53)\": -0.325, \"(0.53, 0.59)\": -0.357, \"(0.59, 0.68)\": -0.393, \"(0.68, 0.78)\": -0.427, \"(0.78, 0.96)\": -0.472, \"(0.96, 1.89)\": -0.509, \"(1.89, 2.1)\": -0.476, \"(2.1, 2.27)\": -0.443, \"(2.27, 2.42)\": -0.412, \"(2.42, 2.57)\": -0.379, \"(2.57, 2.71)\": -0.346, \"(2.71, 2.85)\": -0.312, \"(2.85, 2.99)\": -0.268, \"(2.99, 3.16)\": -0.236, \"(3.16, 3.29)\": -0.201, \"(3.29, 3.45)\": -0.167, \"(3.45, 3.57)\": -0.134, \"(3.57, 3.72)\": -0.103, \"(3.72, 3.88)\": -0.061, \"(3.88, 3.99)\": -0.029, \"(3.99, 4.12)\": 0.002, \"(4.12, 4.24)\": 0.034, \"(4.24, 4.39)\": 0.068, \"(4.39, 4.52)\": 0.1, \"(4.52, 4.65)\": 0.132, \"(4.65, 4.79)\": 0.167, \"(4.79, 4.94)\": 0.199, \"(4.94, 5.08)\": 0.241, \"(5.08, 5.24)\": 0.275, \"(5.24, 5.41)\": 0.32, \"(5.41, 5.52)\": 0.352, \"(5.52, 5.65)\": 0.384, \"(5.65, 5.79)\": 0.415, \"(5.79, 5.92)\": 0.449, \"(5.92, 6.03)\": 0.482, \"(6.03, 6.17)\": 0.515, \"(6.17, 6.3)\": 0.546, \"(6.3, 6.43)\": 0.577, \"(6.43, 6.55)\": 0.608, \"(6.55, 6.65)\": 0.639, \"(6.65, 6.82)\": 0.67, \"(6.82, 6.96)\": 0.71, \"(6.96, 7.09)\": 0.743, \"(7.09, 7.23)\": 0.776, \"(7.23, 7.35)\": 0.808, \"(7.35, 7.48)\": 0.842, \"(7.48, 7.6)\": 0.872, \"(7.6, 7.73)\": 0.903, \"(7.73, 7.85)\": 0.935, \"(7.85, 8.01)\": 0.972, \"(8.01, 8.14)\": 1.007, \"(8.14, 8.28)\": 1.038, \"(8.28, 8.42)\": 1.073, \"(8.42, 8.55)\": 1.106, \"(8.55, 8.67)\": 1.139, \"(8.67, 8.81)\": 1.172, \"(8.81, 8.93)\": 1.202, \"(8.93, 9.06)\": 1.236, \"(9.06, 9.2)\": 1.269, \"(9.2, 9.33)\": 1.303, \"(9.33, 9.47)\": 1.335, \"(9.47, 9.59)\": 1.368, \"(9.59, 9.73)\": 1.4, \"(9.73, 9.86)\": 1.436, \"(9.86, 10.0)\": 1.471}\n", "\n", "The graph approximately depicts one of the following functions:\n", "\n", - "a) f(x) = x\n", - "b) f(x) = -sinh(x)\n", - "c) f(x) = -3*x^3\n", - "d) f(x) = -x^5\n", - "e) f(x) = -sin(x)\n", + "a) f(x) = -tanh(x) + 1/4 * x\n", + "b) f(x) = abs(x ** 2 - 20)\n", + "c) f(x) = 1/2 * (x+1) ** 4 - 5 * (x+2) **3 + 3 * x ** 2 + 2 * x + 1\n", + "d) f(x) = exp(-x+1)+ 2000 * abs(x+1)\n", + "e) f(x) = x ** 3 + 250 * sin(x)\n", "\n", "Which of these functions is depicted in the graph? Think step by step.\n", "SOLUTION: a)\n" @@ -5134,12 +4474,12 @@ }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 127, "metadata": {}, "outputs": [], "source": [ "import json\n", - "with open(\"../benchmark/function-recognition.json\", \"w\") as f:\n", + "with open(\"../benchmark/function-recognition-hard.json\", \"w\") as f:\n", " json.dump(llm_questions, f, indent=2)" ] }, @@ -5152,29 +4492,29 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 128, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "50" + "30" ] }, - "execution_count": 109, + "execution_count": 128, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# load quesitons\n", - "llm_questions = json.load(open(\"../benchmark/function-recognition.json\", \"r\"))\n", + "llm_questions = json.load(open(\"../benchmark/function-recognition-hard.json\", \"r\"))\n", "len(llm_questions)" ] }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 131, "metadata": {}, "outputs": [ { @@ -5182,176 +4522,113 @@ "output_type": "stream", "text": [ "LLM RESPONSE: The function depicted in the graph is:\n", - "e) f(x) = -sin(x)\n", - "SOLUTION: x\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely f(x) = -x^5.\n", - "SOLUTION: -2*x+5\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely f(x) = x^5.\n", - "SOLUTION: x^2\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is:\n", - "\n", - "e) f(x) = -sign(x)\n", - "SOLUTION: -2*x^2\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely f(x) = x.\n", - "SOLUTION: (x-2)^2\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is:\n", - "e) f(x) = -sqrt(x+10)\n", - "SOLUTION: (x-1)*(x+1)\n", + "e) f(x) = x ** 3 + 250 * sin(x)\n", + "SOLUTION: -tanh(x) + 1/4 * x\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is likely:\n", + "LLM RESPONSE: The function that is depicted in the graph is:\n", "\n", - "e) f(x) = -3*x^3\n", - "SOLUTION: x^2+3*x-1\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely:\n", - "e) f(x) = exp(x)\n", - "SOLUTION: x^3\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely f(x) = x.\n", - "SOLUTION: -3*x^3\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely f(x) = x^3.\n", - "SOLUTION: x^4\n", + "b) f(x) = sin(x) + sin(0.5 * x)\n", + "SOLUTION: arctan(x) + sin(x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely **f(x) = -(x + 4)^4**.\n", - "SOLUTION: -(x + 4)^4\n", + "LLM RESPONSE: The function depicted in the graph is likely f(x) = exp(-x^2+1) + 1/3 * |x|.\n", + "SOLUTION: exp(-x^2+1)+ 1/3 * |x|\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is **f(x) = x**.\n", - "SOLUTION: x^5\n", + "LLM RESPONSE: The function depicted in the graph is likely c) f(x) = -1/2 * (x+1) ** 4 + 5 * (x+2) **3 + 3 * x ** 2 + 2 * x + 1.\n", + "SOLUTION: exp(-x+1)+ 2000 * abs(x+1)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is likely f(x) = 2^(x-5).\n", - "SOLUTION: -x^5\n", + "LLM RESPONSE: The function depicted in the graph is: f(x) = exp(x) + 2000 * abs(x)\n", + "SOLUTION: exp(x)+ 2000 * abs(x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely f(x) = x^2.\n", - "SOLUTION: sign(x)\n", + "LLM RESPONSE: The function depicted in the graph is **e) f(x) = abs(x) + sin(x)**.\n", + "SOLUTION: exp(x)+ 4000 * sign(x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = x^5.\n", - "SOLUTION: -sign(x)\n", + "LLM RESPONSE: The function depicted in the graph is **f(x) = sign(x) + cos(x)**.\n", + "SOLUTION: sin(x)+cos(x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = -cosh(x).\n", - "SOLUTION: -sign(-x)\n", + "LLM RESPONSE: The function depicted in the graph is likely f(x) = |sin(x/2)|.\n", + "SOLUTION: |sin(x/2)|\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = sign(x+3).\n", - "SOLUTION: sign(x+3)\n", + "LLM RESPONSE: The function depicted in the graph is:\n", + "\n", + "f(x) = x + 1/3 * sin(5*x) + 3\n", + "SOLUTION: exp(x) + 4000* sin(x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is likely f(x) = exp(-x).\n", - "SOLUTION: sign(x-1)\n", + "LLM RESPONSE: The function depicted in the graph is most likely b) f(x) = tanh(x+10) - 1/3 * x + 1/8 * sin(5*x).\n", + "SOLUTION: sign(sin(x))\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = x.\n", - "SOLUTION: |x|\n", + "LLM RESPONSE: The function depicted in the graph is most likely e) f(x) = x ** 3 + 250 * sin(x).\n", + "SOLUTION: sign(cos(x))\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = |x|.\n", - "SOLUTION: -|x|\n", + "LLM RESPONSE: The function depicted in the graph is **f(x) = abs(x ** 2 - 20)**.\n", + "SOLUTION: sin(x)+sin(2*x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely e) f(x) = sinh(x).\n", - "SOLUTION: -|-x|\n", + "LLM RESPONSE: The function depicted in the graph is likely f(x) = abs(x ** 2 - 20).\n", + "SOLUTION: 1/2 * (x+1) ** 4 - 5 * (x+2) **3 + 3 * x ** 2 + 2 * x + 1\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph provided in the JSON object is not one of the options provided (a, b, c, d, e).\n", - "SOLUTION: |2*x+4|\n", + "LLM RESPONSE: The function depicted in the graph is most likely:\n", + "\n", + "c) f(x) = -1/2 * (x+1) ** 4 + 5 * (x+2) **3 + 3 * x ** 2 + 2 * x + 1\n", + "SOLUTION: -1/2 * (x+1) ** 4 + 5 * (x+2) **3 + 3 * x ** 2 + 2 * x + 1\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = x.\n", - "SOLUTION: |x^3|\n", + "LLM RESPONSE: The function depicted in the graph is likely **f(x) = sin(x) + sin(0.5 * x)**.\n", + "SOLUTION: sign(x ** 2 - 15)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = sqrt(x+10).\n", - "SOLUTION: sqrt(x+10)\n", + "LLM RESPONSE: The function depicted in the graph is likely to be f(x) = abs(x ** 2 - 20).\n", + "SOLUTION: abs(x ** 2 - 20)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = -sqrt(x+10).\n", - "SOLUTION: -sqrt(x+10)\n", + "LLM RESPONSE: The function depicted in the graph is not consistent with any of the provided options (a, b, c, d, e). The graph likely represents a different function that is not among the options provided.\n", + "SOLUTION: abs(x) ** (1/10)\n", "--------------------------------------------------------------------------------\n", "LLM RESPONSE: The function depicted in the graph is most likely:\n", "\n", - "**f(x) = cos(x)**\n", - "SOLUTION: sqrt(x ** 2 + 3*x +5)\n", + "c) f(x) = exp(-x^2+1) + 1/3 * |x|\n", + "SOLUTION: sin(x) + sin(3*x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = exp(x).\n", - "SOLUTION: exp(x)\n", + "LLM RESPONSE: The function depicted in the graph is likely f(x) = sin(x) + sin(0.5 * x).\n", + "SOLUTION: sin(x) + sin(0.5 * x)\n", "--------------------------------------------------------------------------------\n", "LLM RESPONSE: The function depicted in the graph is:\n", "\n", - "d) f(x) = x\n", - "SOLUTION: -exp(x)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = exp(-x).\n", - "SOLUTION: exp(-x)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely f(x) = |x|.\n", - "SOLUTION: exp(-x^2)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = x.\n", - "SOLUTION: 2^x\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely d) f(x) = 3^x+1.\n", - "SOLUTION: 3^x+1\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely f(x) = -sign(x).\n", - "SOLUTION: 2^(x-5)\n", + "f(x) = abs(x) + sin(x)\n", + "SOLUTION: abs(x) + sin(x)\n", "--------------------------------------------------------------------------------\n", "LLM RESPONSE: The function depicted in the graph is:\n", - "e) f(x) = -log(x+10)\n", - "SOLUTION: log(x+10)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is: **f(x) = -2*x^2**\n", - "SOLUTION: -log(x+10)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is likely to be e) f(x) = -(x + 4)^4.\n", - "SOLUTION: log(exp(x))\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely **f(x) = -sign(x)**.\n", - "SOLUTION: sin(x)\n", + "e) f(x) = tanh(x+10) - 1/3 * x\n", + "SOLUTION: sign(x) + cos(x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely: f(x) = x.\n", - "SOLUTION: -sin(x)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely:\n", + "LLM RESPONSE: The function depicted in the graph is likely:\n", "\n", - "b) f(x) = |x^3|\n", - "SOLUTION: -sin(-x)\n", + "c) f(x) = tanh(x+10) - 1/3 * x\n", + "SOLUTION: x ** 3 + 250 * sin(x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely:\n", + "LLM RESPONSE: The function depicted in the graph is:\n", "\n", - "e) f(x) = (x-2)^2\n", - "SOLUTION: sin(x+2)+2\n", + "c) f(x) = x + 1/3 * sin(5*x) + 3\n", + "SOLUTION: sqrt(x+10) + 1/3 * x \n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is **f(x) = tanh(x)**.\n", - "SOLUTION: cos(x)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = tanh(x).\n", - "SOLUTION: 1/2*cos(x-2)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is f(x) = exp(x).\n", - "SOLUTION: sinh(x)\n", + "LLM RESPONSE: The function depicted in the graph is likely: **f(x) = -tanh(x) + 1/4 * x**\n", + "SOLUTION: log(x+10) + 1/3 * x \n", "--------------------------------------------------------------------------------\n", "LLM RESPONSE: The function depicted in the graph is:\n", - "\n", - "**f(x) = -exp(x)**\n", - "SOLUTION: -sinh(x)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is: **f(x) = x**\n", - "SOLUTION: cosh(x)\n", + "e) f(x) = tanh(x+10) - 1/3 * x\n", + "SOLUTION: tanh(x+10) - 1/3 * x \n", "--------------------------------------------------------------------------------\n", "LLM RESPONSE: The function depicted in the graph is:\n", - "\n", - "f(x) = 2^(x-5)\n", - "SOLUTION: -cosh(x)\n", + "e) f(x) = sqrt(x+10) + 1/3 * x\n", + "SOLUTION: tanh(x+10) - 1/3 * x + 1/8 * sin(5*x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is likely to be f(x) = -x^5.\n", - "SOLUTION: tanh(x)\n", + "LLM RESPONSE: The function depicted in the graph is f(x) = x + 1/3 * sin(5*x) + 3.\n", + "SOLUTION: x + 1/3 * sin(5*x) + 3\n", "--------------------------------------------------------------------------------\n", "LLM RESPONSE: The function depicted in the graph is most likely:\n", - "\n", - "f(x) = x\n", - "SOLUTION: arcsinh(x)\n", + "e) f(x) = exp(x) + 4000* sin(x)\n", + "SOLUTION: -x ** 2 + 2 * cos(5*x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is likely to be f(x) = x^4.\n", - "SOLUTION: arctan(x)\n", + "LLM RESPONSE: The function depicted in the graph is most likely **d) f(x) = -1/10 * x ** 3 + 20 * tanh(2*x)**.\n", + "SOLUTION: -x ** 2 + 20 * tanh(5*x)\n", "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: The function depicted in the graph is most likely f(x) = |x|.\n", - "SOLUTION: 1/(1+exp(-x))\n", + "LLM RESPONSE: The function depicted in the graph is likely f(x) = exp(x) + 4000 * sign(x).\n", + "SOLUTION: -1/10 * x ** 3 + 20 * tanh(2*x)\n", "--------------------------------------------------------------------------------\n" ] } @@ -5372,22 +4649,22 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 132, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.14" + "0.26666666666666666" ] }, - "execution_count": 112, + "execution_count": 132, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "7 / 50" + "8 / 30" ] }, { diff --git a/benchmark/notebooks/jump.ipynb b/benchmark/notebooks/jump.ipynb new file mode 100644 index 0000000..7e681c9 --- /dev/null +++ b/benchmark/notebooks/jump.ipynb @@ -0,0 +1,3507 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Largest Jump Benchmark" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# add parent directory to path\n", + "import sys\n", + "sys.path.append('..')\n", + "\n", + "import copy\n", + "import random\n", + "import numpy as np\n", + "\n", + "import t2ebm\n", + "from t2ebm import graphs\n", + "from t2ebm import prompts" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Create the benchmark" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# load graphs (pickle)\n", + "import pickle\n", + "\n", + "with open(\"all_graphs.pkl\", \"rb\") as f:\n", + " all_graphs = pickle.load(f)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def graph_largest_jump(graph):\n", + " \"\"\"returns the position and the size of the largest jump in the graph\"\"\"\n", + " jumps = [\n", + " np.abs(graph.scores[idx] - graph.scores[idx - 1])\n", + " for idx in range(1, len(graph.x_vals))\n", + " ]\n", + " largest_jump_idx = np.argmax(jumps)\n", + " return graph.x_vals[largest_jump_idx][1], jumps[largest_jump_idx]" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "questions = []\n", + "for graph, graph_as_text in all_graphs:\n", + " # only continuous graphs\n", + " if graph.feature_type != \"continuous\":\n", + " continue\n", + " question = \"\"\"Below is the graph of a generalized additive model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take.\n", + " \n", + " The graph is provided in the following format:\n", + " - The name of the feature depicted in the graph\n", + " - The type of the feature (continuous, categorical, or boolean)\n", + " - Mean values\n", + " - Lower bounds of confidence interval (optional)\n", + " - Upper bounds of confidence interval (optional)\\n\\n\"\"\"\n", + " question += f\"Here is the graph:\\n\\n{graph_as_text}\\n\"\n", + " question += \"\"\"Within the different intervals, the graph predicts the same mean value. This means that there are discontinuous 'jumps' in the mean of the graph in between the intervals.\n", + "\n", + "We are now looking for the position of the largest jump in the graph. We are looking for both positive and negative jumps, that is we care about the absolute magnitude of the jump.\n", + "\n", + "What is the x-axis position of the largest jump in the graph? Think step by step.\"\"\"\n", + " graph_ = graphs.text_to_graph(graph_as_text)\n", + " pos, size = graph_largest_jump(graph_)\n", + " questions.append((question, str(pos)))" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "# subset 100 random questions\n", + "random.shuffle(questions)\n", + "questions = questions[:100]" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Below is the graph of a generalized additive model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take.\n", + " \n", + " The graph is provided in the following format:\n", + " - The name of the feature depicted in the graph\n", + " - The type of the feature (continuous, categorical, or boolean)\n", + " - Mean values\n", + " - Lower bounds of confidence interval (optional)\n", + " - Upper bounds of confidence interval (optional)\n", + "\n", + "Here is the graph:\n", + "\n", + "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", + "\n", + "Feature Name: compactness_worst\n", + "Feature Type: continuous\n", + "Means: {\"(0.02729, 0.049945)\": -0.0578, \"(0.049945, 0.06971)\": -0.0099, \"(0.06971, 0.099305)\": -0.0565, \"(0.099305, 0.10635)\": -0.1408, \"(0.10635, 0.1243)\": -0.1882, \"(0.1243, 0.14795)\": -0.2357, \"(0.14795, 0.1507)\": -0.1883, \"(0.1507, 0.1861)\": -0.1381, \"(0.1861, 0.20124999999999998)\": -0.0918, \"(0.20124999999999998, 0.3358)\": -0.0443, \"(0.3358, 0.3456)\": 0.0027, \"(0.3456, 0.35755000000000003)\": 0.0649, \"(0.35755000000000003, 0.3703)\": 0.1151, \"(0.3703, 0.39235)\": 0.1642, \"(0.39235, 0.4087)\": 0.2124, \"(0.4087, 0.4229)\": 0.2605, \"(0.4229, 0.4486)\": 0.3109, \"(0.4486, 0.48865000000000003)\": 0.3586, \"(0.48865000000000003, 0.54825)\": 0.4132, \"(0.54825, 0.5892999999999999)\": 0.4651, \"(0.5892999999999999, 0.65835)\": 0.5154, \"(0.65835, 0.7680499999999999)\": 0.572, \"(0.7680499999999999, 0.99795)\": 0.6264, \"(0.99795, 1.058)\": 0.6748}\n", + "Lower Bounds (95%-Confidence Interval): {\"(0.02729, 0.049945)\": -0.8125, \"(0.049945, 0.06971)\": -0.7624, \"(0.06971, 0.099305)\": -0.6001, \"(0.099305, 0.10635)\": -0.4033, \"(0.10635, 0.1243)\": -0.4448, \"(0.1243, 0.14795)\": -0.4969, \"(0.14795, 0.1507)\": -0.4446, \"(0.1507, 0.1861)\": -0.2722, \"(0.1861, 0.20124999999999998)\": -0.1924, \"(0.20124999999999998, 0.3358)\": -0.2305, \"(0.3358, 0.3456)\": -0.1741, \"(0.3456, 0.35755000000000003)\": -0.068, \"(0.35755000000000003, 0.3703)\": 0.0047, \"(0.3703, 0.39235)\": 0.0473, \"(0.39235, 0.4087)\": 0.1107, \"(0.4087, 0.4229)\": 0.1686, \"(0.4229, 0.4486)\": 0.2243, \"(0.4486, 0.48865000000000003)\": 0.2736, \"(0.48865000000000003, 0.54825)\": 0.2405, \"(0.54825, 0.5892999999999999)\": 0.2819, \"(0.5892999999999999, 0.65835)\": 0.3155, \"(0.65835, 0.7680499999999999)\": 0.3513, \"(0.7680499999999999, 0.99795)\": 0.3892, \"(0.99795, 1.058)\": 0.4487}\n", + "Upper Bounds (95%-Confidence Interval): {\"(0.02729, 0.049945)\": 0.6969, \"(0.049945, 0.06971)\": 0.7425, \"(0.06971, 0.099305)\": 0.487, \"(0.099305, 0.10635)\": 0.1218, \"(0.10635, 0.1243)\": 0.0684, \"(0.1243, 0.14795)\": 0.0254, \"(0.14795, 0.1507)\": 0.068, \"(0.1507, 0.1861)\": -0.0039, \"(0.1861, 0.20124999999999998)\": 0.0087, \"(0.20124999999999998, 0.3358)\": 0.1418, \"(0.3358, 0.3456)\": 0.1794, \"(0.3456, 0.35755000000000003)\": 0.1979, \"(0.35755000000000003, 0.3703)\": 0.2255, \"(0.3703, 0.39235)\": 0.2811, \"(0.39235, 0.4087)\": 0.314, \"(0.4087, 0.4229)\": 0.3524, \"(0.4229, 0.4486)\": 0.3975, \"(0.4486, 0.48865000000000003)\": 0.4436, \"(0.48865000000000003, 0.54825)\": 0.5859, \"(0.54825, 0.5892999999999999)\": 0.6484, \"(0.5892999999999999, 0.65835)\": 0.7153, \"(0.65835, 0.7680499999999999)\": 0.7927, \"(0.7680499999999999, 0.99795)\": 0.8637, \"(0.99795, 1.058)\": 0.9008}\n", + "\n", + "Within the different intervals, the graph predicts the same mean value. This means that there are discontinuous 'jumps' in the mean of the graph in between the intervals.\n", + "\n", + "We are now looking for the position of the largest jump in the graph. We are looking for both positive and negative jumps, that is we care about the absolute magnitude of the jump.\n", + "\n", + "What is the x-axis position of the largest jump in the graph? Think step by step.\n", + "SOLUTION: 0.099305\n" + ] + } + ], + "source": [ + "# print a random question\n", + "import random\n", + "random.shuffle(questions)\n", + "print(questions[0][0])\n", + "print('SOLUTION: ', questions[0][1])" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "# save the questions to json\n", + "import json\n", + "with open(\"../benchmark/jumps.json\", \"w\") as f:\n", + " json.dump(questions, f, indent=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Run the benchmark" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "# load the json file\n", + "with open(\"../benchmark/jumps.json\", \"r\") as f:\n", + " questions = json.load(f)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "100" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(questions)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LLM RESPONSE: To identify the position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences in mean values between adjacent intervals:\n", + "\n", + "1. Absolute difference between intervals (1.0, 1.5) and (1.5, 2.5):\n", + " Absolute difference = |0.534 - (-0.009)| = 0.543\n", + "\n", + "2. Absolute difference between intervals (1.5, 2.5) and (2.5, 3.0):\n", + " Absolute difference = |(-0.532) - 0.534| = 1.066\n", + "\n", + "Therefore, the largest absolute difference occurs between the intervals (1.5, 2.5) and (2.5, 3.0) with a value of 1.066.\n", + "\n", + "This means that the largest jump in the graph occurs between the Pclass values of 1.5 and 2.5.\n", + "SOLUTION: 2.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute difference in mean values between adjacent intervals. Since the graph represents a continuous feature with intervals, we will compare the mean values within each interval to identify the largest jump.\n", + "\n", + "Given the mean values provided:\n", + "- For the interval (0.0, 0.5): Mean = 0.01522\n", + "- For the interval (0.5, 1.0): Mean = -0.03391\n", + "\n", + "The absolute difference in mean values between these two intervals is:\n", + "|0.01522 - (-0.03391)| = 0.04913\n", + "\n", + "Therefore, the largest jump in the graph occurs between the intervals (0.0, 0.5) and (0.5, 1.0) with an absolute difference of 0.04913 on the y-axis.\n", + "\n", + "As the x-axis represents the feature \"smoking\" in this case, the x-axis position of the largest jump corresponds to the midpoint between the two intervals, which is 0.25.\n", + "SOLUTION: 0.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - For example, the absolute difference between the mean values of the intervals \"(143.5, 259.35)\" and \"(259.35, 289.4)\" is |-0.759 - (-0.662)| = 0.097.\n", + " - Repeat this calculation for all consecutive intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - Compare all the absolute differences calculated in step 1 and find the interval where this difference is the largest.\n", + "\n", + "3. Determine the x-axis position of the largest jump:\n", + " - The x-axis position of the largest jump corresponds to the boundary between the two intervals that have the largest absolute difference in mean values.\n", + "\n", + "By following these steps, you can determine the x-axis position of the largest jump in the graph.\n", + "SOLUTION: 696.25\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between intervals (0.0, 0.5) and (0.5, 1.5):\n", + " |-0.0274 - (-0.02381)| = 0.00359\n", + "\n", + "2. Absolute difference between intervals (0.5, 1.5) and (1.5, 2.5):\n", + " |-0.02381 - (-0.01602)| = 0.00779\n", + "\n", + "3. Absolute difference between intervals (1.5, 2.5) and (2.5, 3.5):\n", + " |-0.01602 - (-0.01049)| = 0.00553\n", + "\n", + "4. Absolute difference between intervals (2.5, 3.5) and (3.5, 4.5):\n", + " |-0.01049 - (-0.00528)| = 0.00521\n", + "\n", + "5. Absolute difference between intervals (3.5, 4.5) and (4.5, 5.5):\n", + " |-0.00528 - (-0.00022)| = 0.00506\n", + "\n", + "6. Absolute difference between intervals (4.5, 5.5) and (5.5, 6.5):\n", + " |-0.00022 - 0.00517| = 0.00539\n", + "\n", + "7. Absolute difference between intervals (5.5, 6.5) and (6.5, 7.5):\n", + " |0.00517 - 0.01282| = 0.00765\n", + "\n", + "8. Absolute difference between intervals (6.5, 7.5) and (7.5, 8.5):\n", + " |0.01282 - 0.01628| = 0.00346\n", + "\n", + "9. Absolute difference between intervals (7.5, 8.5) and (8.5, 9.5):\n", + " |0.01628 - 0.02454| = 0.00826\n", + "\n", + "10. Absolute difference between intervals (8.5, 9.5) and (9.5, 10.5):\n", + " |0.02454 - 0.02883| = 0.00429\n", + "\n", + "11. Absolute difference between intervals (9.5, 10.5) and (10.5, 11.5):\n", + " |0.02883 - 0.03213| = 0.0033\n", + "\n", + "12. Absolute difference between intervals (10.5, 11.5) and (11.5, 17.0):\n", + " |0.03213 - 0.03564| = 0.00351\n", + "\n", + "The largest absolute difference is 0.00826 between the intervals (7.5, 8.5) and (8.5, 9.5). Therefore, the x-axis position of the largest jump in the graph is within the interval (7.5, 8.5).\n", + "SOLUTION: 8.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Absolute difference between (-1.345) and (-1.192) = 0.153\n", + " - Absolute difference between (-1.192) and (-1.038) = 0.154\n", + " - Absolute difference between (-1.038) and (-0.878) = 0.16\n", + " - Absolute difference between (-0.878) and (-0.723) = 0.155\n", + " - Absolute difference between (-0.723) and (-0.565) = 0.158\n", + " - Absolute difference between (-0.565) and (-0.348) = 0.217\n", + " - Absolute difference between (-0.348) and (-0.165) = 0.183\n", + " - Absolute difference between (-0.165) and (0.096) = 0.261\n", + " - Absolute difference between (0.096) and (0.253) = 0.157\n", + " - Absolute difference between (0.253) and (0.48) = 0.227\n", + " - Absolute difference between (0.48) and (0.761) = 0.281\n", + " - Absolute difference between (0.761) and (0.932) = 0.171\n", + " - Absolute difference between (0.932) and (1.092) = 0.16\n", + " - Absolute difference between (1.092) and (1.245) = 0.153\n", + " - Absolute difference between (1.245) and (1.404) = 0.159\n", + " - Absolute difference between (1.404) and (1.557) = 0.153\n", + "\n", + "2. The largest absolute difference is 0.281, which occurs between the intervals \"(874.85, 928.5)\" and \"(928.5, 1033.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(874.85, 928.5)\".\n", + "SOLUTION: 928.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(2.0, 2.5)\" and \"(2.5, 5.0)\": |1.062 - (-0.503)| = 1.565\n", + "2. Absolute difference between \"(2.5, 5.0)\" and \"(5.0, 17.5)\": |1.188 - 1.062| = 0.126\n", + "3. Absolute difference between \"(5.0, 17.5)\" and \"(17.5, 24.5)\": |0.305 - 1.188| = 0.883\n", + "4. Absolute difference between \"(17.5, 24.5)\" and \"(24.5, 28.5)\": |0.438 - 0.305| = 0.133\n", + "5. Absolute difference between \"(24.5, 28.5)\" and \"(28.5, 31.5)\": |0.03 - 0.438| = 0.408\n", + "6. Absolute difference between \"(28.5, 31.5)\" and \"(31.5, 35.5)\": |0.337 - 0.03| = 0.307\n", + "7. Absolute difference between \"(31.5, 35.5)\" and \"(35.5, 36.25)\": |0.047 - 0.337| = 0.29\n", + "8. Absolute difference between \"(35.5, 36.25)\" and \"(36.25, 43.5)\": |-0.09 - 0.047| = 0.137\n", + "9. Absolute difference between \"(36.25, 43.5)\" and \"(43.5, 44.5)\": |-0.293 - (-0.09)| = 0.203\n", + "10. Absolute difference between \"(43.5, 44.5)\" and \"(44.5, 47.5)\": |-0.611 - (-0.293)| = 0.318\n", + "11. Absolute difference between \"(44.5, 47.5)\" and \"(47.5, 49.5)\": |-0.32 - (-0.611)| = 0.291\n", + "12. Absolute difference between \"(47.5, 49.5)\" and \"(49.5, 59.0)\": |-0.561 - (-0.32)| = 0.241\n", + "13. Absolute difference between \"(49.5, 59.0)\" and \"(59.0, 60.5)\": |-0.283 - (-0.561)| = 0.278\n", + "14. Absolute difference between \"(59.0, 60.5)\" and \"(60.5, 63.5)\": |-0.939 - (-0.283)| = 0.656\n", + "15. Absolute difference between \"(60.5, 63.5)\" and \"(63.5, 70.5)\": |-1.095 - (-0.939)| = 0.156\n", + "16. Absolute difference between \"(63.5, 70.5)\" and \"(70.5, 75.5)\": |-0.598 - (-1.095)| = 0.497\n", + "17. Absolute difference between \"(70.5, 75.5)\" and \"(75.5, 80.0)\": |-0.406 - (-0.598)| = 0.192\n", + "\n", + "The largest absolute difference is 1.565, which occurs between the intervals \"(2.0, 2.5)\" and \"(2.5, 5.0)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the ages of 2.0 and 2.5.\n", + "SOLUTION: 2.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences in mean values for each adjacent interval:\n", + "\n", + "1. Calculate the absolute differences in mean values:\n", + " - Between \"(0.0, 0.001156)\" and \"(0.001156, 0.002325)\": |-0.6445 - (-0.6016)| = 0.0429\n", + " - Between \"(0.001156, 0.002325)\" and \"(0.002325, 0.0037635)\": |-0.6016 - (-0.5599)| = 0.0417\n", + " - Continue this calculation for all adjacent intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference in mean values. This interval will correspond to the largest jump in the graph.\n", + "\n", + "3. Report the x-axis position of this interval as the position of the largest jump in the graph.\n", + "\n", + "By following these steps, you can determine the x-axis position of the largest jump in the graph for the given continuous feature \"concavity_se.\"\n", + "SOLUTION: 0.02983\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values for each interval.\n", + "2. Identify the interval with the largest absolute difference.\n", + "\n", + "Let's start by calculating the absolute differences between consecutive mean values for each interval:\n", + "\n", + "- Absolute difference for interval \"(2.0, 23.0)\": |-78966.6 - (-70808.9)| = 8157.7\n", + "- Absolute difference for interval \"(23.0, 38.5)\": |-28602.1 - (-78966.6)| = 50364.5\n", + "- Absolute difference for interval \"(38.5, 48.5)\": |-47079.6 - (-28602.1)| = 18477.5\n", + "- Absolute difference for interval \"(48.5, 119.0)\": |-52692.3 - (-47079.6)| = 5612.7\n", + "- Absolute difference for interval \"(119.0, 163.0)\": |-60093.0 - (-52692.3)| = 7400.7\n", + "- Absolute difference for interval \"(163.0, 186.5)\": |-51150.5 - (-60093.0)| = 8942.5\n", + "- Absolute difference for interval \"(186.5, 223.5)\": |-39728.1 - (-51150.5)| = 11422.4\n", + "- Absolute difference for interval \"(223.5, 239.5)\": |-7038.8 - (-39728.1)| = 32689.3\n", + "- Absolute difference for interval \"(239.5, 248.5)\": |-691.1 - (-7038.8)| = 6347.7\n", + "- Absolute difference for interval \"(248.5, 265.5)\": |-14052.2 - (-691.1)| = 13361.1\n", + "- Absolute difference for interval \"(265.5, 280.5)\": |-35705.6 - (-14052.2)| = 21653.4\n", + "- Absolute difference for interval \"(280.5, 342.5)\": |-24578.4 - (-35705.6)| = 11127.2\n", + "- Absolute difference for interval \"(342.5, 364.5)\": |-34007.7 - (-24578.4)| = 9429.3\n", + "- Absolute difference for interval \"(364.5, 385.5)\": |-46655.0 - (-34007.7)| = 12647.3\n", + "- Absolute difference for interval \"(385.5, 406.5)\": |-17805.2 - (-46655.0)| = 28849.8\n", + "- Absolute difference for interval \"(406.5, 413.5)\": |-12192.7 - (-17805.2)| = 5612.5\n", + "- Absolute difference for interval \"(413.5, 443.5)\": |-22779.7 - (-12192.7)| = 10587.0\n", + "- Absolute difference for interval \"(443.5, 452.5)\": |-30652.6 - (-22779.7)| = 7872.9\n", + "- Absolute difference for interval \"(452.5, 502.5)\": |-25165.4 - (-30652.6)| = 5487.2\n", + "- Absolute difference for interval \"(502.5, 508.5)\": |-12943.4 - (-25165.4)| = 12222.0\n", + "- Absolute difference for interval \"(508.5, 515.5)\": |-21645.3 - (-12943.4)| = 8701.9\n", + "- Absolute difference for interval \"(515.5, 1152.5)\": |-16264.4 - (-21645.3)| = 5380.9\n", + "- Absolute difference for interval \"(1152.5, 1239.5)\": |-7023.2 - (-16264.4)| = 9241.2\n", + "- Absolute difference for interval \"(1239.5, 1245.5)\": |-12855.2 - (-7023.2)| = 5832.0\n", + "- Absolute difference for interval \"(1245.5, 1619.5)\": |-7415.6 - (-12855.2)| = 5440.4\n", + "- Absolute difference for interval \"(1619.5, 1944.5)\": |-1233.9 - (-7415.6)| = 6181.7\n", + "- Absolute difference for interval \"(1944.5, 2330.5)\": |4370.8 - (-1233.9)| = 5604.7\n", + "- Absolute difference for interval \"(2330.5, 2710.5)\": |9739.0 - 4370.8| = 5368.2\n", + "- Absolute difference for interval \"(2710.5, 2834.5)\": |16667.1 - 9739.0| = 6928.1\n", + "- Absolute difference for interval \"(2834.5, 2838.5)\": |10096.4 - 16667.1| = 6570.7\n", + "- Absolute difference for interval \"(2838.5, 3577.5)\": |15549.4 - 10096.4| = 5453.0\n", + "- Absolute difference for interval \"(3577.5, 5401.0)\": |24928.2 - 15549.4| = 9378.8\n", + "- Absolute difference for interval \"(5401.0, 5535.5)\": |19069.3 - 24928.2| = 5858.9\n", + "- Absolute difference for interval \"(5535.5, 9961.0)\": |26262.6 - 19069.3| = 7193.3\n", + "- Absolute difference for interval \"(9961.0, 18662.0)\": |20736.3 - 26262.6| = 5526.3\n", + "- Absolute difference for interval \"(18662.0, 39320.0)\": |4370.8 - 20736.3| = 16365.5\n", + "\n", + "The largest absolute difference is 50364.5, which occurs in the interval \"(23.0, 38.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(23.0, 38.5)\".\n", + "SOLUTION: 38.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals. The largest jump will be the interval boundary where the absolute difference is the greatest.\n", + "\n", + "Let's calculate the absolute differences in mean values for each adjacent interval:\n", + "\n", + "1. Absolute difference between \"(106.67, 780.2149999999999)\" and \"(780.2149999999999, 4627.98)\": |0.3865 - 0.3462| = 0.0403\n", + "2. Absolute difference between \"(780.2149999999999, 4627.98)\" and \"(4627.98, 6842.475)\": |0.3462 - 0.0858| = 0.2604\n", + "3. Absolute difference between \"(4627.98, 6842.475)\" and \"(6842.475, 7401.88)\": |0.0858 - 0.157| = 0.0712\n", + "4. Absolute difference between \"(6842.475, 7401.88)\" and \"(7401.88, 27330.43)\": |0.157 - 0.2048| = 0.0478\n", + "5. Absolute difference between \"(7401.88, 27330.43)\" and \"(27330.43, 38816.375)\": |0.2048 - 0.1737| = 0.0311\n", + "6. Absolute difference between \"(27330.43, 38816.375)\" and \"(38816.375, 40348.645000000004)\": |0.1737 - 0.1063| = 0.0674\n", + "7. Absolute difference between \"(38816.375, 40348.645000000004)\" and \"(40348.645000000004, 42807.509999999995)\": |0.1063 - 0.0512| = 0.0551\n", + "8. Absolute difference between \"(40348.645000000004, 42807.509999999995)\" and \"(42807.509999999995, 48226.81)\": |0.0512 - 0.1098| = 0.0586\n", + "9. Absolute difference between \"(42807.509999999995, 48226.81)\" and \"(48226.81, 48498.15)\": |0.1098 - (-0.0771)| = 0.1869\n", + "10. Absolute difference between \"(48226.81, 48498.15)\" and \"(48498.15, 58535.68)\": |-0.0771 - 0.0187| = 0.0958\n", + "11. Absolute difference between \"(48498.15, 58535.68)\" and \"(58535.68, 94498.98999999999)\": |0.0187 - 0.0512| = 0.0325\n", + "12. Absolute difference between \"(58535.68, 94498.98999999999)\" and \"(94498.98999999999, 120892.955)\": |0.0512 - 0.0186| = 0.0326\n", + "13. Absolute difference between \"(94498.98999999999, 120892.955)\" and \"(120892.955, 121151.28)\": |0.0186 - (-0.0263)| = 0.0449\n", + "14. Absolute difference between \"(120892.955, 121151.28)\" and \"(121151.28, 121482.61499999999)\": |-0.0263 - (-0.0801)| = 0.0538\n", + "15. Absolute difference between \"(121151.28, 121482.61499999999)\" and \"(121482.61499999999, 148569.97)\": |-0.0801 - (-0.0388)| = 0.0413\n", + "16. Absolute difference between \"(121482.61499999999, 148569.97)\" and \"(148569.97, 184522.325)\": |-0.0388 - (-0.0796)| = 0.0408\n", + "17. Absolute difference between \"(148569.97, 184522.325)\" and \"(184522.325, 187947.635)\": |-0.0796 - (-0.1332)| = 0.0536\n", + "18. Absolute difference between \"(184522.325, 187947.635)\" and \"(187947.635, 187985.865)\": |-0.1332 - (-0.2342)| = 0.101\n", + "19. Absolute difference between \"(187947.635, 187985.865)\" and \"(187985.865, 188452.565)\": |-0.2342 - (-0.0632)| = 0.171\n", + "20. Absolute difference between \"(187985.865, 188452.565)\" and \"(188452.565, 189006.61)\": |-0.0632 - (-0.0053)| = 0.0579\n", + "21. Absolute difference between \"(188452.565, 189006.61)\" and \"(189006.61, 196418.97999999998)\": |-0.0053 - 0.0291| = 0.0338\n", + "22. Absolute difference between \"(189006.61, 196418.97999999998)\" and \"(196418.97999999998, 199505.41)\": |0.0291 - (-0.0098)| = 0.0389\n", + "23. Absolute difference between \"(196418.97999999998, 199505.41)\" and \"(199505.41, 199992.48)\": |-0.0098 - 0.214| = 0.2238\n", + "\n", + "The largest absolute difference is 0.2238, which occurs between the intervals \"(196418.97999999998, 199505.41)\" and \"(199505.41, 199992.48)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (196418.97999999998, 199505.41).\n", + "SOLUTION: 4627.98\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(0.0, 0.5)\" and \"(0.5, 1.5)\": |-0.02443 - (-0.02088)| = 0.00355\n", + "2. Absolute difference between \"(0.5, 1.5)\" and \"(1.5, 2.5)\": |-0.02088 - (-0.01613)| = 0.00475\n", + "3. Absolute difference between \"(1.5, 2.5)\" and \"(2.5, 3.5)\": |-0.01613 - (-0.01086)| = 0.00527\n", + "4. Absolute difference between \"(2.5, 3.5)\" and \"(3.5, 4.5)\": |-0.01086 - (-0.00583)| = 0.00503\n", + "5. Absolute difference between \"(3.5, 4.5)\" and \"(4.5, 5.5)\": |-0.00583 - 0.00139| = 0.00722\n", + "6. Absolute difference between \"(4.5, 5.5)\" and \"(5.5, 6.5)\": |0.00139 - 0.00556| = 0.00417\n", + "7. Absolute difference between \"(5.5, 6.5)\" and \"(6.5, 7.5)\": |0.00556 - 0.01145| = 0.00589\n", + "8. Absolute difference between \"(6.5, 7.5)\" and \"(7.5, 8.5)\": |0.01145 - 0.01748| = 0.00603\n", + "9. Absolute difference between \"(7.5, 8.5)\" and \"(8.5, 10.5)\": |0.01748 - 0.0242| = 0.00672\n", + "10. Absolute difference between \"(8.5, 10.5)\" and \"(10.5, 11.5)\": |0.0242 - 0.03351| = 0.00931\n", + "11. Absolute difference between \"(10.5, 11.5)\" and \"(11.5, 13.5)\": |0.03351 - 0.03691| = 0.0034\n", + "12. Absolute difference between \"(11.5, 13.5)\" and \"(13.5, 15.0)\": |0.03691 - 0.03345| = 0.00346\n", + "13. Absolute difference between \"(13.5, 15.0)\" and \"(15.0, 16.0)\": |0.03345 - 0.02926| = 0.00419\n", + "\n", + "The largest absolute difference is 0.00931, which occurs between the intervals \"(8.5, 10.5)\" and \"(10.5, 11.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between 8.5 and 10.5 on the PopulationScore feature.\n", + "SOLUTION: 10.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between intervals (1.0, 4.5) and (4.5, 7.5):\n", + " Absolute difference = |-7788.2 - (-19998.0)| = 12209.8\n", + "\n", + "2. Absolute difference between intervals (4.5, 7.5) and (7.5, 16.5):\n", + " Absolute difference = |-10680.2 - (-7788.2)| = 2892.0\n", + "\n", + "3. Absolute difference between intervals (7.5, 16.5) and (16.5, 18.5):\n", + " Absolute difference = |-6304.4 - (-10680.2)| = 4375.8\n", + "\n", + "4. Absolute difference between intervals (16.5, 18.5) and (18.5, 27.5):\n", + " Absolute difference = |-1760.6 - (-6304.4)| = 4543.8\n", + "\n", + "5. Absolute difference between intervals (18.5, 27.5) and (27.5, 34.5):\n", + " Absolute difference = |2164.8 - (-1760.6)| = 3925.4\n", + "\n", + "6. Absolute difference between intervals (27.5, 34.5) and (34.5, 38.5):\n", + " Absolute difference = |-912.5 - 2164.8| = 3077.3\n", + "\n", + "7. Absolute difference between intervals (34.5, 38.5) and (38.5, 41.5):\n", + " Absolute difference = |4199.6 - (-912.5)| = 5112.1\n", + "\n", + "8. Absolute difference between intervals (38.5, 41.5) and (41.5, 45.5):\n", + " Absolute difference = |-497.4 - 4199.6| = 4697.0\n", + "\n", + "9. Absolute difference between intervals (41.5, 45.5) and (45.5, 47.5):\n", + " Absolute difference = |-5189.8 - (-497.4)| = 4692.4\n", + "\n", + "10. Absolute difference between intervals (45.5, 47.5) and (47.5, 48.5):\n", + " Absolute difference = |5201.0 - (-5189.8)| = 10390.8\n", + "\n", + "11. Absolute difference between intervals (47.5, 48.5) and (48.5, 49.5):\n", + " Absolute difference = |2159.0 - 5201.0| = 3042.0\n", + "\n", + "12. Absolute difference between intervals (48.5, 49.5) and (49.5, 50.5):\n", + " Absolute difference = |6135.7 - 2159.0| = 3976.7\n", + "\n", + "13. Absolute difference between intervals (49.5, 50.5) and (50.5, 51.5):\n", + " Absolute difference = |11513.8 - 6135.7| = 5380.1\n", + "\n", + "14. Absolute difference between intervals (50.5, 51.5) and (51.5, 52.0):\n", + " Absolute difference = |27549.7 - 11513.8| = 16035.9\n", + "\n", + "The largest absolute difference is 16035.9, which occurs between the intervals (50.5, 51.5) and (51.5, 52.0). Therefore, the x-axis position of the largest jump in the graph is within the interval (50.5, 51.5).\n", + "SOLUTION: 51.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.0, 0.5) and (0.5, 2.5):\n", + " |-0.02038 - (-0.02553)| = 0.00515\n", + "\n", + "2. Absolute difference between (0.5, 2.5) and (2.5, 4.5):\n", + " |-0.0099 - (-0.02038)| = 0.01048\n", + "\n", + "3. Absolute difference between (2.5, 4.5) and (4.5, 6.5):\n", + " |0.00082 - (-0.0099)| = 0.01072\n", + "\n", + "4. Absolute difference between (4.5, 6.5) and (6.5, 7.5):\n", + " |0.01088 - 0.00082| = 0.01006\n", + "\n", + "5. Absolute difference between (6.5, 7.5) and (7.5, 9.5):\n", + " |0.0178 - 0.01088| = 0.00692\n", + "\n", + "6. Absolute difference between (7.5, 9.5) and (9.5, 10.5):\n", + " |0.02657 - 0.0178| = 0.00877\n", + "\n", + "7. Absolute difference between (9.5, 10.5) and (10.5, 12.5):\n", + " |0.0329 - 0.02657| = 0.00633\n", + "\n", + "8. Absolute difference between (10.5, 12.5) and (12.5, 13.5):\n", + " |0.03982 - 0.0329| = 0.00692\n", + "\n", + "9. Absolute difference between (12.5, 13.5) and (13.5, 15.0):\n", + " |0.05043 - 0.03982| = 0.01061\n", + "\n", + "10. Absolute difference between (13.5, 15.0) and (15.0, 16.0):\n", + " |0.06084 - 0.05043| = 0.01041\n", + "\n", + "The largest absolute difference is 0.01072, which occurs between the intervals (2.5, 4.5) and (4.5, 6.5). Therefore, the x-axis position of the largest jump in the graph is around 3.5.\n", + "SOLUTION: 4.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values in the given intervals:\n", + " - Absolute difference for each interval:\n", + " - (0.0, 3.5): |-0.0407 - 0.0121| = 0.0528\n", + " - (3.5, 7.5): |-0.0873 - (-0.0407)| = 0.0466\n", + " - (7.5, 9.0): |-0.1192 - (-0.0873)| = 0.0319\n", + " - ...\n", + " - (77.5, 99.0): |0.3109 - 0.2174| = 0.0935\n", + "\n", + "2. Identify the interval with the largest absolute difference. In this case, the interval with the largest jump is:\n", + " - (55.0, 77.5): 0.2174 to 0.3109 with an absolute difference of 0.0935\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (55.0, 77.5).\n", + "SOLUTION: 55.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.0, 0.5) and (0.5, 1.5):\n", + " Absolute difference = |0.724 - (-0.368)| = 1.092\n", + "\n", + "2. Absolute difference between (0.5, 1.5) and (1.5, 2.5):\n", + " Absolute difference = |0.587 - 0.724| = 0.137\n", + "\n", + "3. Absolute difference between (1.5, 2.5) and (2.5, 3.5):\n", + " Absolute difference = |-0.221 - 0.587| = 0.808\n", + "\n", + "4. Absolute difference between (2.5, 3.5) and (3.5, 4.5):\n", + " Absolute difference = |-0.631 - (-0.221)| = 0.41\n", + "\n", + "5. Absolute difference between (3.5, 4.5) and (4.5, 5.5):\n", + " Absolute difference = |-0.545 - (-0.631)| = 0.086\n", + "\n", + "6. Absolute difference between (4.5, 5.5) and (5.5, 6.0):\n", + " Absolute difference = |0.179 - (-0.545)| = 0.724\n", + "\n", + "The largest absolute difference is 1.092, which occurs between the intervals (0.0, 0.5) and (0.5, 1.5). Therefore, the x-axis position of the largest jump in the graph is between 0.0 and 0.5 on the MaritalStatus feature.\n", + "SOLUTION: 0.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where the largest absolute difference occurs.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Absolute difference between \"(0.0, 1.5)\" and \"(1.5, 2.5)\": |-0.02463 - (-0.01694)| = 0.00769\n", + " - Absolute difference between \"(1.5, 2.5)\" and \"(2.5, 3.5)\": |-0.01694 - (-0.01147)| = 0.00547\n", + " - Absolute difference between \"(2.5, 3.5)\" and \"(3.5, 4.5)\": |-0.01147 - (-0.00533)| = 0.00614\n", + " - Absolute difference between \"(3.5, 4.5)\" and \"(4.5, 5.5)\": |-0.00533 - 0.00036| = 0.00569\n", + " - Absolute difference between \"(4.5, 5.5)\" and \"(5.5, 6.5)\": |0.00036 - 0.00641| = 0.00605\n", + " - Absolute difference between \"(5.5, 6.5)\" and \"(6.5, 7.5)\": |0.00641 - 0.01086| = 0.00445\n", + " - Absolute difference between \"(6.5, 7.5)\" and \"(7.5, 8.5)\": |0.01086 - 0.01753| = 0.00667\n", + " - Absolute difference between \"(7.5, 8.5)\" and \"(8.5, 9.5)\": |0.01753 - 0.02391| = 0.00638\n", + " - Absolute difference between \"(8.5, 9.5)\" and \"(9.5, 11.5)\": |0.02391 - 0.03162| = 0.00771\n", + " - Absolute difference between \"(9.5, 11.5)\" and \"(11.5, 14.0)\": |0.03162 - 0.0391| = 0.00748\n", + " - Absolute difference between \"(11.5, 14.0)\" and \"(14.0, 15.0)\": |0.0391 - 0.05506| = 0.01596\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - The largest absolute difference is 0.01596, which occurs between the intervals \"(11.5, 14.0)\" and \"(14.0, 15.0)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(11.5, 14.0)\".\n", + "SOLUTION: 14.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (-0.177) and 0.043 = 0.22\n", + "2. Absolute difference between 0.043 and 0.27 = 0.227\n", + "3. Absolute difference between 0.27 and 0.543 = 0.273\n", + "4. Absolute difference between 0.543 and 0.863 = 0.32\n", + "5. Absolute difference between 0.863 and 1.13 = 0.267\n", + "6. Absolute difference between 1.13 and 1.479 = 0.349\n", + "7. Absolute difference between 1.479 and 2.076 = 0.597\n", + "8. Absolute difference between 2.076 and 1.81 = 0.266\n", + "9. Absolute difference between 1.81 and 1.439 = 0.371\n", + "10. Absolute difference between 1.439 and 2.236 = 0.797\n", + "11. Absolute difference between 2.236 and 2.746 = 0.51\n", + "12. Absolute difference between 2.746 and 3.43 = 0.684\n", + "13. Absolute difference between 3.43 and 3.888 = 0.458\n", + "14. Absolute difference between 3.888 and 4.131 = 0.243\n", + "\n", + "The largest absolute difference is 0.797, which occurs between the intervals \"(6031.5, 6171.5)\" and \"(6171.5, 8753.0)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(6031.5, 6171.5)\".\n", + "SOLUTION: 6171.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the greatest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values in the given intervals:\n", + " - Absolute difference between (-3.326) and (-2.358) = 0.968\n", + " - Absolute difference between (-2.358) and (-2.799) = 0.441\n", + " - Absolute difference between (-2.799) and (-2.354) = 0.445\n", + " - Absolute difference between (-2.354) and (-1.405) = 0.949\n", + " - Absolute difference between (-1.405) and (-1.633) = 0.228\n", + " - Absolute difference between (-1.633) and (-1.214) = 0.419\n", + " - Absolute difference between (-1.214) and (-0.789) = 0.425\n", + " - Absolute difference between (-0.789) and (-0.473) = 0.316\n", + " - Absolute difference between (-0.473) and (-0.216) = 0.257\n", + " - Absolute difference between (-0.216) and (0.042) = 0.258\n", + " - Absolute difference between (0.042) and (0.351) = 0.309\n", + " - Absolute difference between (0.351) and (0.658) = 0.307\n", + " - Absolute difference between (0.658) and (0.897) = 0.239\n", + " - Absolute difference between (0.897) and (0.574) = 0.323\n", + " - Absolute difference between (0.574) and (0.099) = 0.475\n", + " - Absolute difference between (0.099) and (0.763) = 0.664\n", + " - Absolute difference between (0.763) and (0.502) = 0.261\n", + " - Absolute difference between (0.502) and (0.875) = 0.373\n", + " - Absolute difference between (0.875) and (0.065) = 0.81\n", + " - Absolute difference between (0.065) and (-1.08) = 1.145\n", + "\n", + "2. The largest absolute difference is 1.145, which occurs between the intervals (79.5, 84.5) and (84.5, 90.0).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the ages of 79.5 and 84.5.\n", + "SOLUTION: 84.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Absolute difference between (0.0, 0.5) and (0.5, 1.5): |-0.0263 - (-0.02126)| = 0.00504\n", + " - Absolute difference between (0.5, 1.5) and (1.5, 2.5): |-0.02126 - (-0.01709)| = 0.00417\n", + " - Absolute difference between (1.5, 2.5) and (2.5, 3.5): |-0.01709 - (-0.01038)| = 0.00671\n", + " - Absolute difference between (2.5, 3.5) and (3.5, 4.5): |-0.01038 - (-0.00633)| = 0.00405\n", + " - Absolute difference between (3.5, 4.5) and (4.5, 5.5): |-0.00633 - 0.00068| = 0.00701\n", + " - Absolute difference between (4.5, 5.5) and (5.5, 6.5): |0.00068 - 0.00618| = 0.0055\n", + " - Absolute difference between (5.5, 6.5) and (6.5, 7.5): |0.00618 - 0.01223| = 0.00605\n", + " - Absolute difference between (6.5, 7.5) and (7.5, 8.5): |0.01223 - 0.01761| = 0.00538\n", + " - Absolute difference between (7.5, 8.5) and (8.5, 9.5): |0.01761 - 0.02318| = 0.00557\n", + " - Absolute difference between (8.5, 9.5) and (9.5, 10.5): |0.02318 - 0.02782| = 0.00464\n", + " - Absolute difference between (9.5, 10.5) and (10.5, 11.5): |0.02782 - 0.03238| = 0.00456\n", + " - Absolute difference between (10.5, 11.5) and (11.5, 13.5): |0.03238 - 0.03978| = 0.0074\n", + " - Absolute difference between (11.5, 13.5) and (13.5, 15.0): |0.03978 - 0.04468| = 0.0049\n", + " - Absolute difference between (13.5, 15.0) and (15.0, 16.0): |0.04468 - 0.0529| = 0.00822\n", + "\n", + "2. Identify the largest absolute difference:\n", + " The largest absolute difference is 0.00822, which occurs between the intervals (13.5, 15.0) and (15.0, 16.0).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the intervals 13.5 and 15.0.\n", + "SOLUTION: 15.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.0, 135.5) and (135.5, 215.5):\n", + " Absolute difference = |0.445 - 0.073| = 0.372\n", + "\n", + "2. Absolute difference between (135.5, 215.5) and (215.5, 500.5):\n", + " Absolute difference = |0.073 - (-0.294)| = 0.367\n", + "\n", + "3. Absolute difference between (215.5, 500.5) and (500.5, 727.5):\n", + " Absolute difference = |-0.294 - (-0.661)| = 0.367\n", + "\n", + "4. Absolute difference between (500.5, 727.5) and (727.5, 799.5):\n", + " Absolute difference = |-0.661 - (-1.026)| = 0.365\n", + "\n", + "5. Absolute difference between (727.5, 799.5) and (799.5, 831.5):\n", + " Absolute difference = |-1.026 - (-0.601)| = 0.425\n", + "\n", + "6. Absolute difference between (799.5, 831.5) and (831.5, 872.5):\n", + " Absolute difference = |-0.601 - (-1.156)| = 0.555\n", + "\n", + "7. Absolute difference between (831.5, 872.5) and (872.5, 993.5):\n", + " Absolute difference = |-1.156 - (-1.633)| = 0.477\n", + "\n", + "8. Absolute difference between (872.5, 993.5) and (993.5, 1430.5):\n", + " Absolute difference = |-1.633 - (-2.012)| = 0.379\n", + "\n", + "9. Absolute difference between (993.5, 1430.5) and (1430.5, 1514.5):\n", + " Absolute difference = |-2.012 - (-1.512)| = 0.5\n", + "\n", + "10. Absolute difference between (1430.5, 1514.5) and (1514.5, 1796.0):\n", + " Absolute difference = |-1.512 - (-2.212)| = 0.7\n", + "\n", + "11. Absolute difference between (1514.5, 1796.0) and (1796.0, 1909.5):\n", + " Absolute difference = |-2.212 - (-1.699)| = 0.513\n", + "\n", + "12. Absolute difference between (1796.0, 1909.5) and (1909.5, 1970.0):\n", + " Absolute difference = |-1.699 - (-2.568)| = 0.869\n", + "\n", + "13. Absolute difference between (1909.5, 1970.0) and (1970.0, 2571.5):\n", + " Absolute difference = |-2.568 - (-3.006)| = 0.438\n", + "\n", + "14. Absolute difference between (1970.0, 2571.5) and (2571.5, 2582.0):\n", + " Absolute difference = |-3.006 - (-2.375)| = 0.631\n", + "\n", + "15. Absolute difference between (2571.5, 2582.0) and (2582.0, 2657.0):\n", + " Absolute difference = |-2.375 - (-2.964)| = 0.589\n", + "\n", + "16. Absolute difference between (2582.0, 2657.0) and (2657.0, 3710.5):\n", + " Absolute difference = |-2.964 - (-3.98)| = 1.016\n", + "\n", + "17. Absolute difference between (2657.0, 3710.5) and (3710.5, 4089.0):\n", + " Absolute difference = |-3.98 - (-4.347)| = 0.367\n", + "\n", + "18. Absolute difference between (3710.5, 4089.0) and (4089.0, 5089.5):\n", + " Absolute difference = |-4.347 - (-5.923)| = 1.576\n", + "\n", + "19. Absolute difference between (4089.0, 5089.5) and (5089.5, 24133.0):\n", + " Absolute difference = |-5.923 - (-6.634)| = 0.711\n", + "\n", + "The largest absolute difference is 1.576, which occurs between the intervals (4089.0, 5089.5) and (5089.5, 24133.0).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (4089.0, 5089.5).\n", + "SOLUTION: 4089.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals. The largest jump will be the interval boundary where the absolute difference is the greatest.\n", + "\n", + "Let's calculate the absolute differences in mean values between adjacent intervals:\n", + "\n", + "1. Calculate the absolute differences for each adjacent interval:\n", + " - (130.5, 278.5): |0.118 - 0.521| = 0.403\n", + " - (278.5, 452.5): |-0.285 - 0.118| = 0.403\n", + " - (452.5, 754.5): |-0.907 - (-0.285)| = 0.622\n", + " - (754.5, 1209.5): |-1.309 - (-0.907)| = 0.402\n", + " - (1209.5, 1808.0): |-1.712 - (-1.309)| = 0.403\n", + " - (1808.0, 2204.5): |-3.029 - (-1.712)| = 1.317\n", + " - (2204.5, 2207.5): |-2.456 - (-3.029)| = 0.573\n", + " - (2207.5, 2428.0): |-2.956 - (-2.456)| = 0.5\n", + " - (2428.0, 2462.5): |-2.512 - (-2.956)| = 0.444\n", + " - (2462.5, 2714.5): |-3.402 - (-2.512)| = 0.89\n", + " - (2714.5, 2745.0): |-2.902 - (-3.402)| = 0.5\n", + " - (2745.0, 2993.5): |-4.077 - (-2.902)| = 1.175\n", + " - (2993.5, 3132.0): |-4.481 - (-4.077)| = 0.404\n", + " - (3132.0, 3705.5): |-5.377 - (-4.481)| = 0.896\n", + " - (3705.5, 3747.0): |-4.36 - (-5.377)| = 1.017\n", + " - (3747.0, 22408.0): |-7.183 - (-4.36)| = 2.823\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - The largest absolute difference is 2.823, which occurs between the intervals (3747.0, 22408.0).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is at the boundary between the intervals 3747.0 and 22408.0 for the feature \"Spa.\"\n", + "SOLUTION: 3747.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals. The largest jump will be the interval boundary where the absolute difference is the greatest.\n", + "\n", + "Let's calculate the absolute differences in mean values between adjacent intervals:\n", + "\n", + "1. Calculate the absolute differences in mean values:\n", + " - Between (12.02, 16.935000000000002) and (16.935000000000002, 18.335): |-1.885 - (-1.717)| = 0.168\n", + " - Between (16.935000000000002, 18.335) and (18.335, 19.505): |-1.717 - (-1.55)| = 0.167\n", + " - Continue this calculation for all adjacent intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference. This interval will represent the largest jump in the graph.\n", + "\n", + "3. Report the x-axis position of the boundary between the intervals with the largest absolute difference as the position of the largest jump in the graph.\n", + "\n", + "By following these steps, you can determine the x-axis position of the largest jump in the graph.\n", + "SOLUTION: 19.505\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute difference in mean values between adjacent intervals. The largest jump will be the interval boundary where this absolute difference is the greatest.\n", + "\n", + "Given the means provided:\n", + "- For the interval (0.0, 0.5): Mean = -0.1077\n", + "- For the interval (0.5, 1.0): Mean = 0.1864\n", + "\n", + "The absolute difference between these means is |0.1864 - (-0.1077)| = 0.2941.\n", + "\n", + "Therefore, the largest jump in the graph occurs at the boundary between the intervals (0.0, 0.5) and (0.5, 1.0). The x-axis position of this largest jump is at the boundary value of 0.5.\n", + "SOLUTION: 0.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To identify the position of the largest jump in the graph, we need to compare the mean values within adjacent intervals. The largest jump will occur where there is the greatest absolute difference in mean values between two adjacent intervals.\n", + "\n", + "Let's calculate the absolute differences in mean values between adjacent intervals:\n", + "\n", + "1. Between intervals (1.0, 1.5) and (1.5, 2.5):\n", + " Absolute difference = |0.96 - (-0.918)| = 1.878\n", + "\n", + "2. Between intervals (1.5, 2.5) and (2.5, 3.5):\n", + " Absolute difference = |-3.104 - 0.96| = 4.064\n", + "\n", + "3. Between intervals (2.5, 3.5) and (3.5, 4.0):\n", + " Absolute difference = |-2.768 - (-3.104)| = 0.336\n", + "\n", + "The largest absolute jump occurs between the intervals (1.5, 2.5) and (2.5, 3.5) with a magnitude of 4.064.\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between 1.5 and 2.5 in the feature \"NumOfProducts\".\n", + "SOLUTION: 2.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the graph. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Absolute difference between \"(0.02729, 0.049945)\" and \"(0.049945, 0.06971)\": |-0.0578 - (-0.0099)| = 0.0479\n", + " - Absolute difference between \"(0.049945, 0.06971)\" and \"(0.06971, 0.099305)\": |-0.0099 - (-0.0565)| = 0.0466\n", + " - Continue this calculation for all consecutive intervals.\n", + "\n", + "2. Identify the largest absolute difference to find the position of the largest jump in the graph.\n", + "\n", + "Let's perform these calculations to determine the x-axis position of the largest jump in the graph.\n", + "SOLUTION: 0.099305\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -0.8769 and -0.8241 = 0.0528\n", + "2. Absolute difference between -0.8241 and -0.1763 = 0.6478\n", + "3. Absolute difference between -0.1763 and 0.0021 = 0.1784\n", + "4. Absolute difference between 0.0021 and -0.2283 = 0.2304\n", + "5. Absolute difference between -0.2283 and -0.0522 = 0.1761\n", + "6. Absolute difference between -0.0522 and -0.1299 = 0.0777\n", + "7. Absolute difference between -0.1299 and -0.0821 = 0.0478\n", + "8. Absolute difference between -0.0821 and -0.1509 = 0.0688\n", + "9. Absolute difference between -0.1509 and -0.0818 = 0.0691\n", + "10. Absolute difference between -0.0818 and -0.0316 = 0.0502\n", + "11. Absolute difference between -0.0316 and 0.0162 = 0.0478\n", + "12. Absolute difference between 0.0162 and 0.0757 = 0.0595\n", + "13. Absolute difference between 0.0757 and 0.0081 = 0.0676\n", + "14. Absolute difference between 0.0081 and 0.0581 = 0.05\n", + "15. Absolute difference between 0.0581 and -0.0049 = 0.063\n", + "16. Absolute difference between -0.0049 and -0.0569 = 0.052\n", + "17. Absolute difference between -0.0569 and -0.111 = 0.0541\n", + "18. Absolute difference between -0.111 and -0.0335 = 0.0775\n", + "\n", + "The largest absolute difference is 0.6478, which occurs between the intervals \"(15566519.0, 15567333.5)\" and \"(15567333.5, 15567844.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the values 15567333.5 and 15567844.5 on the CustomerId feature.\n", + "SOLUTION: 15567333.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -0.773 and -0.686: 0.087\n", + "2. Absolute difference between -0.686 and -0.589: 0.097\n", + "3. Absolute difference between -0.589 and -0.499: 0.09\n", + "4. Absolute difference between -0.499 and -0.412: 0.087\n", + "5. Absolute difference between -0.412 and -0.275: 0.137\n", + "6. Absolute difference between -0.275 and -0.187: 0.088\n", + "7. Absolute difference between -0.187 and -0.102: 0.085\n", + "8. Absolute difference between -0.102 and -0.186: 0.084\n", + "9. Absolute difference between -0.186 and -0.066: 0.12\n", + "10. Absolute difference between -0.066 and 0.064: 0.13\n", + "11. Absolute difference between 0.064 and 0.15: 0.086\n", + "12. Absolute difference between 0.15 and 0.239: 0.089\n", + "13. Absolute difference between 0.239 and 0.334: 0.095\n", + "14. Absolute difference between 0.334 and 0.422: 0.088\n", + "15. Absolute difference between 0.422 and 0.51: 0.088\n", + "16. Absolute difference between 0.51 and 0.594: 0.084\n", + "17. Absolute difference between 0.594 and 0.683: 0.089\n", + "18. Absolute difference between 0.683 and 0.774: 0.091\n", + "19. Absolute difference between 0.774 and 0.866: 0.092\n", + "\n", + "The largest absolute difference is 0.137, which occurs between the intervals (0.412, 0.275) and (0.275, 0.187). Therefore, the x-axis position of the largest jump in the graph is within the interval (0.412, 0.275).\n", + "SOLUTION: 0.19345\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(1.0, 1.5)\" and \"(1.5, 4.5)\": |-4.746 - (-1.252)| = 3.494\n", + "2. Absolute difference between \"(1.5, 4.5)\" and \"(4.5, 6.5)\": |-1.252 - (-0.882)| = 0.37\n", + "3. Absolute difference between \"(4.5, 6.5)\" and \"(6.5, 9.5)\": |-0.882 - (-0.483)| = 0.399\n", + "4. Absolute difference between \"(6.5, 9.5)\" and \"(9.5, 11.5)\": |-0.483 - (-0.093)| = 0.39\n", + "5. Absolute difference between \"(9.5, 11.5)\" and \"(11.5, 13.5)\": |-0.093 - 0.276| = 0.369\n", + "6. Absolute difference between \"(11.5, 13.5)\" and \"(13.5, 14.5)\": |0.276 - 0.863| = 0.587\n", + "7. Absolute difference between \"(13.5, 14.5)\" and \"(14.5, 16.0)\": |0.863 - 1.487| = 0.624\n", + "\n", + "The largest absolute difference is 3.494, which occurs between the intervals \"(1.0, 1.5)\" and \"(1.5, 4.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the EducationNum values of 1.0 and 1.5.\n", + "SOLUTION: 1.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(4.3, 4.55)\" and \"(4.55, 4.75)\": |3.328 - 2.995| = 0.333\n", + "2. Absolute difference between \"(4.55, 4.75)\" and \"(4.75, 4.85)\": |2.995 - 2.698| = 0.297\n", + "3. Absolute difference between \"(4.75, 4.85)\" and \"(4.85, 5.05)\": |2.698 - 1.665| = 1.033\n", + "4. Absolute difference between \"(4.85, 5.05)\" and \"(5.05, 5.25)\": |1.665 - 1.371| = 0.294\n", + "5. Absolute difference between \"(5.05, 5.25)\" and \"(5.25, 5.45)\": |1.371 - 1.085| = 0.286\n", + "6. Absolute difference between \"(5.25, 5.45)\" and \"(5.45, 5.55)\": |1.085 - 0.339| = 0.746\n", + "7. Absolute difference between \"(5.45, 5.55)\" and \"(5.55, 5.75)\": |0.339 - (-0.057)| = 0.396\n", + "8. Absolute difference between \"(5.55, 5.75)\" and \"(5.75, 5.85)\": |-0.057 - (-0.39)| = 0.333\n", + "9. Absolute difference between \"(5.75, 5.85)\" and \"(5.85, 6.15)\": |-0.39 - (-0.757)| = 0.367\n", + "10. Absolute difference between \"(5.85, 6.15)\" and \"(6.15, 6.45)\": |-0.757 - (-1.149)| = 0.392\n", + "11. Absolute difference between \"(6.15, 6.45)\" and \"(6.45, 6.85)\": |-1.149 - (-1.436)| = 0.287\n", + "12. Absolute difference between \"(6.45, 6.85)\" and \"(6.85, 7.7)\": |-1.436 - (-1.718)| = 0.282\n", + "\n", + "The largest absolute difference is 1.033, which occurs between the intervals \"(4.75, 4.85)\" and \"(4.85, 5.05)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the values 4.75 and 4.85 on the sepal_length feature.\n", + "SOLUTION: 4.85\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the given intervals. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values for each interval.\n", + "2. Identify the interval with the largest absolute difference.\n", + "\n", + "Let's start by calculating the absolute differences between consecutive mean values for each interval:\n", + "\n", + "- Absolute difference between \"(32.54, 32.565)\" and \"(32.565, 32.685)\": 23234.8 - (-3182.4) = 26417.2\n", + "- Absolute difference between \"(32.565, 32.685)\" and \"(32.685, 32.715)\": -3182.4 - 7727.3 = 10909.7\n", + "- Absolute difference between \"(32.685, 32.715)\" and \"(32.715, 32.915)\": 7727.3 - 17670.3 = 9943.0\n", + "- Continue this calculation for all intervals.\n", + "\n", + "After calculating the absolute differences for all intervals, we will identify the interval with the largest absolute difference. The x-axis position of this interval will correspond to the position of the largest jump in the graph.\n", + "\n", + "Let's perform these calculations to find the x-axis position of the largest jump in the graph.\n", + "SOLUTION: 34.325\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest jump will be the interval where the absolute difference between mean values is the greatest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -0.762 and -0.659 = 0.103\n", + "2. Absolute difference between -0.659 and -0.56 = 0.099\n", + "3. Absolute difference between -0.56 and -0.461 = 0.099\n", + "4. Absolute difference between -0.461 and -0.36 = 0.101\n", + "5. Absolute difference between -0.36 and -0.262 = 0.098\n", + "6. Absolute difference between -0.262 and -0.163 = 0.099\n", + "7. Absolute difference between -0.163 and -0.065 = 0.098\n", + "8. Absolute difference between -0.065 and 0.037 = 0.102\n", + "9. Absolute difference between 0.037 and 0.137 = 0.1\n", + "10. Absolute difference between 0.137 and 0.235 = 0.098\n", + "11. Absolute difference between 0.235 and 0.394 = 0.159\n", + "12. Absolute difference between 0.394 and 0.494 = 0.1\n", + "13. Absolute difference between 0.494 and 0.599 = 0.105\n", + "14. Absolute difference between 0.599 and 0.695 = 0.096\n", + "15. Absolute difference between 0.695 and 0.793 = 0.098\n", + "16. Absolute difference between 0.793 and 0.891 = 0.098\n", + "17. Absolute difference between 0.891 and 0.99 = 0.099\n", + "18. Absolute difference between 0.99 and 1.093 = 0.103\n", + "\n", + "The largest absolute difference is 0.159, which occurs between the intervals (0.235, 0.394) and (0.394, 0.494).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (16.925, 17.385).\n", + "SOLUTION: 16.925\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To identify the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -0.835 and -0.769: 0.066\n", + "2. Absolute difference between -0.769 and -0.697: 0.072\n", + "3. Absolute difference between -0.697 and -0.632: 0.065\n", + "4. Absolute difference between -0.632 and -0.569: 0.063\n", + "5. Absolute difference between -0.569 and -0.506: 0.063\n", + "6. Absolute difference between -0.506 and -0.437: 0.069\n", + "7. Absolute difference between -0.437 and -0.368: 0.069\n", + "8. Absolute difference between -0.368 and -0.304: 0.064\n", + "9. Absolute difference between -0.304 and -0.242: 0.062\n", + "10. Absolute difference between -0.242 and -0.177: 0.065\n", + "11. Absolute difference between -0.177 and -0.111: 0.066\n", + "12. Absolute difference between -0.111 and -0.047: 0.064\n", + "13. Absolute difference between -0.047 and 0.065: 0.112\n", + "14. Absolute difference between 0.065 and 0.142: 0.077\n", + "15. Absolute difference between 0.142 and 0.211: 0.069\n", + "16. Absolute difference between 0.211 and 0.107: 0.104\n", + "17. Absolute difference between 0.107 and 0.171: 0.064\n", + "18. Absolute difference between 0.171 and 0.267: 0.096\n", + "19. Absolute difference between 0.267 and 0.334: 0.067\n", + "20. Absolute difference between 0.334 and 0.396: 0.062\n", + "\n", + "The largest absolute difference is 0.112, which occurs between the intervals (0.088615, 0.08918999999999999) and (0.08918999999999999, 0.090335).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (0.088615, 0.08918999999999999).\n", + "SOLUTION: 0.088615\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the graph. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Absolute difference between (-0.698) and (-0.618) = 0.08\n", + " - Absolute difference between (-0.618) and (-0.539) = 0.079\n", + " - Absolute difference between (-0.539) and (-0.461) = 0.078\n", + " - Absolute difference between (-0.461) and (-0.384) = 0.077\n", + " - Absolute difference between (-0.384) and (-0.256) = 0.128\n", + " - Absolute difference between (-0.256) and (-0.176) = 0.08\n", + " - Absolute difference between (-0.176) and (-0.099) = 0.077\n", + " - Absolute difference between (-0.099) and (-0.023) = 0.076\n", + " - Absolute difference between (-0.023) and (-0.098) = 0.075\n", + " - Absolute difference between (-0.098) and (-0.018) = 0.08\n", + " - Absolute difference between (-0.018) and (0.065) = 0.083\n", + " - Absolute difference between (0.065) and (0.14) = 0.075\n", + " - Absolute difference between (0.14) and (0.219) = 0.079\n", + " - Absolute difference between (0.219) and (0.296) = 0.077\n", + " - Absolute difference between (0.296) and (0.372) = 0.076\n", + " - Absolute difference between (0.372) and (0.451) = 0.079\n", + " - Absolute difference between (0.451) and (0.536) = 0.085\n", + " - Absolute difference between (0.536) and (0.611) = 0.075\n", + " - Absolute difference between (0.611) and (0.701) = 0.09\n", + " - Absolute difference between (0.701) and (0.786) = 0.085\n", + "\n", + "2. Identify the largest absolute difference:\n", + " - The largest absolute difference is 0.085, which occurs between the intervals \"(0.536, 0.611)\" and \"(0.611, 0.701)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(0.536, 0.611)\".\n", + "SOLUTION: 1.326\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the greatest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values for each interval:\n", + " - For example, for the interval \"(0.002252, 0.0046765)\", the absolute difference is |-0.0214 - (-0.0693)| = 0.0479.\n", + " - Repeat this calculation for all intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference. This interval represents the largest jump in the graph.\n", + "\n", + "3. Report the x-axis position of this interval. The x-axis position is typically the midpoint of the interval.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values for each interval to identify the largest jump in the graph.\n", + "SOLUTION: 0.02586\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the Education feature. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.0, 0.5) and (0.5, 1.5): |-0.4028 - (-0.5397)| = 0.1369\n", + "2. Absolute difference between (0.5, 1.5) and (1.5, 3.5): |-0.5397 - (-0.4851)| = 0.0546\n", + "3. Absolute difference between (1.5, 3.5) and (3.5, 4.5): |-0.4851 - (-0.4021)| = 0.083\n", + "4. Absolute difference between (3.5, 4.5) and (4.5, 5.5): |-0.4021 - (-0.457)| = 0.0549\n", + "5. Absolute difference between (4.5, 5.5) and (5.5, 6.5): |-0.457 - (-0.2537)| = 0.2033\n", + "6. Absolute difference between (5.5, 6.5) and (6.5, 7.5): |-0.2537 - (-0.0494)| = 0.2043\n", + "7. Absolute difference between (6.5, 7.5) and (7.5, 8.5): |-0.0494 - 0.0457| = 0.0951\n", + "8. Absolute difference between (7.5, 8.5) and (8.5, 9.5): |0.0457 - 0.1831| = 0.1374\n", + "9. Absolute difference between (8.5, 9.5) and (9.5, 10.5): |0.1831 - 0.1392| = 0.0439\n", + "10. Absolute difference between (9.5, 10.5) and (10.5, 11.5): |0.1392 - (-0.0652)| = 0.2044\n", + "11. Absolute difference between (10.5, 11.5) and (11.5, 14.5): |-0.0652 - 0.1954| = 0.2606\n", + "12. Absolute difference between (11.5, 14.5) and (14.5, 15.0): |0.1954 - 0.1393| = 0.0561\n", + "\n", + "The largest absolute difference is 0.2606, which occurs between the intervals (10.5, 11.5) and (11.5, 14.5).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the Education levels of 10.5 and 11.5.\n", + "SOLUTION: 11.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where the largest absolute difference occurs.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - For each interval, subtract the mean value of the next interval from the mean value of the current interval.\n", + " - Take the absolute value of each difference to consider both positive and negative jumps.\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - Find the interval where the absolute difference calculated in step 1 is the largest.\n", + "\n", + "Let's perform these calculations step by step:\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + "\n", + "| Interval | Absolute Difference |\n", + "|-----------------|----------------------|\n", + "| (2.0, 4.5) | |-5401.6 - (-23687.9)| = 18286.3 |\n", + "| (4.5, 6.5) | |-23687.9 - (-53732.5)| = 30044.6 |\n", + "| (6.5, 8.5) | |-53732.5 - (-14617.2)| = 39115.3 |\n", + "| ... | ... |\n", + "| (1272.5, 3516.0)| |28522.2 - 21556.0| = 6966.2 |\n", + "| (3516.0, 6082.0)| |21556.0 - 0| = 21556.0 |\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - The largest absolute difference is 39115.3 in the interval (6.5, 8.5).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (6.5, 8.5) for the feature \"households.\"\n", + "SOLUTION: 8.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - For each consecutive pair of intervals, calculate the absolute difference in mean values.\n", + " - Keep track of the interval where the largest absolute difference occurs.\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - Compare the absolute differences calculated in step 1 to find the largest absolute difference.\n", + " - Note the x-axis position associated with this interval.\n", + "\n", + "Let's perform these calculations step by step:\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Calculate the absolute differences between consecutive mean values for all intervals:\n", + " - Absolute difference between \"(8.0, 349.5)\" and \"(349.5, 1899.5)\": |-0.1954 - (-0.1448)| = 0.0506\n", + " - Absolute difference between \"(349.5, 1899.5)\" and \"(1899.5, 4908.5)\": |-0.1448 - (-0.18)| = 0.0352\n", + " - Continue this calculation for all consecutive intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - Compare all absolute differences calculated in step 1 to find the largest absolute difference.\n", + " - Note the x-axis position associated with this interval.\n", + "\n", + "By following these steps, you can determine the x-axis position of the largest jump in the graph.\n", + "SOLUTION: 45346.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between intervals (0.0, 1.5) and (1.5, 2.5):\n", + " Absolute difference = |-0.01738 - (-0.02526)| = 0.00788\n", + "\n", + "2. Absolute difference between intervals (1.5, 2.5) and (2.5, 3.5):\n", + " Absolute difference = |-0.01172 - (-0.01738)| = 0.00566\n", + "\n", + "3. Absolute difference between intervals (2.5, 3.5) and (3.5, 4.5):\n", + " Absolute difference = |-0.00537 - (-0.01172)| = 0.00635\n", + "\n", + "4. Absolute difference between intervals (3.5, 4.5) and (4.5, 5.5):\n", + " Absolute difference = |-0.00021 - (-0.00537)| = 0.00516\n", + "\n", + "5. Absolute difference between intervals (4.5, 5.5) and (5.5, 6.5):\n", + " Absolute difference = |0.0066 - (-0.00021)| = 0.00681\n", + "\n", + "6. Absolute difference between intervals (5.5, 6.5) and (6.5, 7.5):\n", + " Absolute difference = |0.01026 - 0.0066| = 0.00366\n", + "\n", + "7. Absolute difference between intervals (6.5, 7.5) and (7.5, 8.5):\n", + " Absolute difference = |0.01717 - 0.01026| = 0.00691\n", + "\n", + "8. Absolute difference between intervals (7.5, 8.5) and (8.5, 9.5):\n", + " Absolute difference = |0.02426 - 0.01717| = 0.00709\n", + "\n", + "9. Absolute difference between intervals (8.5, 9.5) and (9.5, 10.5):\n", + " Absolute difference = |0.02823 - 0.02426| = 0.00397\n", + "\n", + "10. Absolute difference between intervals (9.5, 10.5) and (10.5, 11.5):\n", + " Absolute difference = |0.03325 - 0.02823| = 0.00502\n", + "\n", + "11. Absolute difference between intervals (10.5, 11.5) and (11.5, 13.5):\n", + " Absolute difference = |0.03915 - 0.03325| = 0.0059\n", + "\n", + "12. Absolute difference between intervals (11.5, 13.5) and (13.5, 15.0):\n", + " Absolute difference = |0.03572 - 0.03915| = 0.00343\n", + "\n", + "The largest absolute difference is 0.00788 between intervals (0.0, 1.5) and (1.5, 2.5). This indicates the largest jump in the graph occurs between these two intervals.\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between 0.0 and 1.5.\n", + "SOLUTION: 1.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the provided intervals. The largest jump will be the interval where the absolute difference between mean values is the greatest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values for each interval:\n", + " - (0.0, 20.0): abs(0.0422 - (-0.0027)) = 0.0449\n", + " - (20.0, 36.5): abs(-0.0027 - (-0.0554)) = 0.0527\n", + " - (36.5, 40.5): abs(-0.0554 - (-0.0967)) = 0.0413\n", + " - (40.5, 45.5): abs(-0.0967 - (-0.0409)) = 0.0558\n", + " - (45.5, 48.5): abs(-0.0409 - (-0.2263)) = 0.1854\n", + " - (48.5, 55.5): abs(-0.2263 - (-0.2661)) = 0.0398\n", + " - ...\n", + " - Continue calculating the absolute differences for all intervals\n", + "\n", + "2. Identify the interval with the largest absolute difference. This interval represents the position of the largest jump in the graph.\n", + "\n", + "3. Report the x-axis position of this interval, which corresponds to the feature value where the largest jump occurs.\n", + "\n", + "By following these steps, we can determine the x-axis position of the largest jump in the graph for both positive and negative jumps.\n", + "SOLUTION: 48.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals. The largest jump will be the interval where the absolute difference is the greatest.\n", + "\n", + "Let's calculate the absolute differences in mean values between adjacent intervals:\n", + "\n", + "1. Absolute difference between intervals (0.0, 6.325) and (6.325, 7.8500000000000005):\n", + " Absolute difference = |-1.303 - (-1.425)| = 0.122\n", + "\n", + "2. Absolute difference between intervals (6.325, 7.8500000000000005) and (7.8500000000000005, 9.256250000000001):\n", + " Absolute difference = |-0.472 - (-1.303)| = 0.831\n", + "\n", + "3. Absolute difference between intervals (7.8500000000000005, 9.256250000000001) and (9.256250000000001, 10.48125):\n", + " Absolute difference = |-0.602 - (-0.472)| = 0.13\n", + "\n", + "4. Absolute difference between intervals (9.256250000000001, 10.48125) and (10.48125, 12.9375):\n", + " Absolute difference = |-0.14 - (-0.602)| = 0.462\n", + "\n", + "5. Absolute difference between intervals (10.48125, 12.9375) and (12.9375, 25.79375):\n", + " Absolute difference = |0.225 - (-0.14)| = 0.365\n", + "\n", + "6. Absolute difference between intervals (12.9375, 25.79375) and (25.79375, 26.46875):\n", + " Absolute difference = |0.355 - 0.225| = 0.13\n", + "\n", + "7. Absolute difference between intervals (25.79375, 26.46875) and (26.46875, 27.7354):\n", + " Absolute difference = |0.207 - 0.355| = 0.148\n", + "\n", + "8. Absolute difference between intervals (26.46875, 27.7354) and (27.7354, 29.85):\n", + " Absolute difference = |-0.238 - 0.207| = 0.445\n", + "\n", + "9. Absolute difference between intervals (27.7354, 29.85) and (29.85, 31.6604):\n", + " Absolute difference = |0.051 - (-0.238)| = 0.289\n", + "\n", + "10. Absolute difference between intervals (29.85, 31.6604) and (31.6604, 55.22085):\n", + " Absolute difference = |-0.075 - 0.051| = 0.126\n", + "\n", + "11. Absolute difference between intervals (31.6604, 55.22085) and (55.22085, 89.5521):\n", + " Absolute difference = |0.041 - (-0.075)| = 0.116\n", + "\n", + "12. Absolute difference between intervals (55.22085, 89.5521) and (89.5521, 149.0354):\n", + " Absolute difference = |0.152 - 0.041| = 0.111\n", + "\n", + "13. Absolute difference between intervals (89.5521, 149.0354) and (149.0354, 387.6646):\n", + " Absolute difference = |-0.029 - 0.152| = 0.181\n", + "\n", + "14. Absolute difference between intervals (149.0354, 387.6646) and (387.6646, 512.3292):\n", + " Absolute difference = |0.808 - (-0.029)| = 0.837\n", + "\n", + "The largest absolute jump in mean values occurs between the intervals (387.6646, 512.3292) and (149.0354, 387.6646) with an absolute difference of 0.837. This represents the largest jump in the graph.\n", + "SOLUTION: 387.6646\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.0, 0.5) and (0.5, 1.5):\n", + " Absolute difference = |-0.03259 - (-0.02272)| = 0.00987\n", + "\n", + "2. Absolute difference between (0.5, 1.5) and (1.5, 2.5):\n", + " Absolute difference = |-0.02272 - (-0.0157)| = 0.00702\n", + "\n", + "3. Absolute difference between (1.5, 2.5) and (2.5, 3.5):\n", + " Absolute difference = |-0.0157 - (-0.00983)| = 0.00587\n", + "\n", + "4. Absolute difference between (2.5, 3.5) and (3.5, 4.5):\n", + " Absolute difference = |-0.00983 - (-0.00444)| = 0.00539\n", + "\n", + "5. Absolute difference between (3.5, 4.5) and (4.5, 5.5):\n", + " Absolute difference = |-0.00444 - (-0.00035)| = 0.00409\n", + "\n", + "6. Absolute difference between (4.5, 5.5) and (5.5, 6.5):\n", + " Absolute difference = |-0.00035 - 0.00575| = 0.0061\n", + "\n", + "7. Absolute difference between (5.5, 6.5) and (6.5, 7.5):\n", + " Absolute difference = |0.00575 - 0.01126| = 0.00551\n", + "\n", + "8. Absolute difference between (6.5, 7.5) and (7.5, 8.5):\n", + " Absolute difference = |0.01126 - 0.01651| = 0.00525\n", + "\n", + "9. Absolute difference between (7.5, 8.5) and (8.5, 9.5):\n", + " Absolute difference = |0.01651 - 0.02143| = 0.00492\n", + "\n", + "10. Absolute difference between (8.5, 9.5) and (9.5, 12.5):\n", + " Absolute difference = |0.02143 - 0.02903| = 0.0076\n", + "\n", + "11. Absolute difference between (9.5, 12.5) and (12.5, 13.5):\n", + " Absolute difference = |0.02903 - 0.03437| = 0.00534\n", + "\n", + "12. Absolute difference between (12.5, 13.5) and (13.5, 15.0):\n", + " Absolute difference = |0.03437 - 0.04826| = 0.01389\n", + "\n", + "The largest absolute difference is 0.01389, which occurs between the intervals (12.5, 13.5) and (13.5, 15.0).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (12.5, 13.5).\n", + "SOLUTION: 13.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - For each interval, subtract the mean value of the next interval from the mean value of the current interval.\n", + " - Take the absolute value of each difference to consider both positive and negative jumps.\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - Find the interval where the absolute difference calculated in step 1 is the largest.\n", + "\n", + "Let's perform these calculations step by step:\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + "\n", + "| Interval | Absolute Difference |\n", + "|----------------------|---------------------|\n", + "| (23.0, 32.0) | 0.54 - (-0.48) = 1.02 |\n", + "| (32.0, 49.5) | -2.93 - 0.68 = 3.61 |\n", + "| (49.5, 56.5) | -1.31 - (-4.31) = 3.00 |\n", + "| ... | ... |\n", + "| (5548.5, 7861.0) | 4.78 - 3.47 = 1.31 |\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - The largest absolute difference is 3.61, which occurs in the interval (32.0, 49.5).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (32.0, 49.5).\n", + "SOLUTION: 2444.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To identify the position of the largest jump in the graph, we need to compare the mean values within each interval and calculate the absolute difference between them. The largest jump will occur where this absolute difference is the greatest.\n", + "\n", + "Let's calculate the absolute differences for each interval:\n", + "\n", + "1. For the interval \"(0.0, 0.5)\":\n", + " Absolute difference = |Mean(0.5, 1.0) - Mean(0.0, 0.5)|\n", + " = |0.0917 - (-0.0818)|\n", + " = 0.1735\n", + "\n", + "2. For the interval \"(0.5, 1.0)\":\n", + " Absolute difference = |Mean(0.5, 1.0) - Mean(0.0, 0.5)|\n", + " = |0.0917 - (-0.0818)|\n", + " = 0.1735\n", + "\n", + "The absolute differences are the same for both intervals, so the largest jump occurs at the boundary between the intervals. In this case, the x-axis position of the largest jump is at the boundary between the intervals, which is at 0.5.\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is 0.5.\n", + "SOLUTION: 0.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between the mean values of adjacent intervals is the largest.\n", + "\n", + "1. Calculate the absolute differences between the mean values of adjacent intervals:\n", + " - For example, the absolute difference between the mean value of the interval \"(25100.0, 27700.0)\" (-1.004) and the mean value of the interval \"(27700.0, 34450.0)\" (-0.687) is |(-1.004) - (-0.687)| = 0.317.\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - Compare the absolute differences calculated in step 1 and find the interval with the largest absolute difference. This interval represents the largest jump in the graph.\n", + "\n", + "3. Determine the x-axis position of the largest jump:\n", + " - The x-axis position of the largest jump corresponds to the boundary between the two intervals with the largest absolute difference in mean values.\n", + "\n", + "By following these steps, you can identify the x-axis position of the largest jump in the graph.\n", + "SOLUTION: 305500.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -0.132 and -0.285 = 0.153\n", + "2. Absolute difference between -0.285 and -0.826 = 0.541\n", + "3. Absolute difference between -0.826 and -0.404 = 0.422\n", + "4. Absolute difference between -0.404 and -0.005 = 0.399\n", + "5. Absolute difference between -0.005 and 0.215 = 0.22\n", + "6. Absolute difference between 0.215 and 0.086 = 0.129\n", + "7. Absolute difference between 0.086 and -0.012 = 0.098\n", + "8. Absolute difference between -0.012 and 0.247 = 0.259\n", + "9. Absolute difference between 0.247 and 0.829 = 0.582\n", + "10. Absolute difference between 0.829 and 0.564 = 0.265\n", + "11. Absolute difference between 0.564 and 0.414 = 0.15\n", + "12. Absolute difference between 0.414 and 0.248 = 0.166\n", + "13. Absolute difference between 0.248 and 0.164 = 0.084\n", + "14. Absolute difference between 0.164 and 0.075 = 0.089\n", + "15. Absolute difference between 0.075 and 0.173 = 0.098\n", + "16. Absolute difference between 0.173 and 0.059 = 0.114\n", + "17. Absolute difference between 0.059 and -0.349 = 0.408\n", + "18. Absolute difference between -0.349 and -0.459 = 0.11\n", + "19. Absolute difference between -0.459 and -0.616 = 0.157\n", + "20. Absolute difference between -0.616 and -0.256 = 0.36\n", + "\n", + "The largest absolute difference is 0.582, which occurs between the intervals \"(79953.185, 83348.07)\" and \"(83348.07, 101890.23999999999)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(79953.185, 83348.07)\".\n", + "SOLUTION: 76596.815\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.0, 1.5) and (1.5, 2.5):\n", + " Absolute difference = |-0.02325 - (-0.01532)| = 0.00793\n", + "\n", + "2. Absolute difference between (1.5, 2.5) and (2.5, 3.5):\n", + " Absolute difference = |-0.01532 - (-0.01073)| = 0.00459\n", + "\n", + "3. Absolute difference between (2.5, 3.5) and (3.5, 4.5):\n", + " Absolute difference = |-0.01073 - (-0.00482)| = 0.00591\n", + "\n", + "4. Absolute difference between (3.5, 4.5) and (4.5, 5.5):\n", + " Absolute difference = |-0.00482 - (-0.00032)| = 0.0045\n", + "\n", + "5. Absolute difference between (4.5, 5.5) and (5.5, 6.5):\n", + " Absolute difference = |-0.00032 - 0.0063| = 0.00662\n", + "\n", + "6. Absolute difference between (5.5, 6.5) and (6.5, 7.5):\n", + " Absolute difference = |0.0063 - 0.01228| = 0.00598\n", + "\n", + "7. Absolute difference between (6.5, 7.5) and (7.5, 8.5):\n", + " Absolute difference = |0.01228 - 0.01637| = 0.00409\n", + "\n", + "8. Absolute difference between (7.5, 8.5) and (8.5, 10.5):\n", + " Absolute difference = |0.01637 - 0.02537| = 0.009\n", + "\n", + "9. Absolute difference between (8.5, 10.5) and (10.5, 12.5):\n", + " Absolute difference = |0.02537 - 0.03189| = 0.00652\n", + "\n", + "10. Absolute difference between (10.5, 12.5) and (12.5, 13.5):\n", + " Absolute difference = |0.03189 - 0.03961| = 0.00772\n", + "\n", + "11. Absolute difference between (12.5, 13.5) and (13.5, 14.0):\n", + " Absolute difference = |0.03961 - 0.01644| = 0.02317\n", + "\n", + "The largest absolute difference is 0.02317, which occurs between the intervals (12.5, 13.5) and (13.5, 14.0). Therefore, the x-axis position of the largest jump in the graph is within the interval (12.5, 13.5).\n", + "SOLUTION: 13.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where the absolute difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(0.0, 1.5)\" and \"(1.5, 2.5)\": |-0.02446 - (-0.01712)| = 0.00734\n", + "2. Absolute difference between \"(1.5, 2.5)\" and \"(2.5, 3.5)\": |-0.01712 - (-0.00908)| = 0.00804\n", + "3. Absolute difference between \"(2.5, 3.5)\" and \"(3.5, 4.5)\": |-0.00908 - (-0.00529)| = 0.00379\n", + "4. Absolute difference between \"(3.5, 4.5)\" and \"(4.5, 5.5)\": |-0.00529 - 0.0003| = 0.00559\n", + "5. Absolute difference between \"(4.5, 5.5)\" and \"(5.5, 6.5)\": |0.0003 - 0.00497| = 0.00467\n", + "6. Absolute difference between \"(5.5, 6.5)\" and \"(6.5, 7.5)\": |0.00497 - 0.01093| = 0.00596\n", + "7. Absolute difference between \"(6.5, 7.5)\" and \"(7.5, 8.5)\": |0.01093 - 0.01787| = 0.00694\n", + "8. Absolute difference between \"(7.5, 8.5)\" and \"(8.5, 9.5)\": |0.01787 - 0.02262| = 0.00475\n", + "9. Absolute difference between \"(8.5, 9.5)\" and \"(9.5, 11.5)\": |0.02262 - 0.02707| = 0.00445\n", + "10. Absolute difference between \"(9.5, 11.5)\" and \"(11.5, 12.5)\": |0.02707 - 0.03735| = 0.01028\n", + "11. Absolute difference between \"(11.5, 12.5)\" and \"(12.5, 13.5)\": |0.03735 - 0.043| = 0.00565\n", + "12. Absolute difference between \"(12.5, 13.5)\" and \"(13.5, 15.0)\": |0.043 - 0.01734| = 0.02566\n", + "\n", + "The largest absolute difference is 0.02566, which occurs between the intervals \"(12.5, 13.5)\" and \"(13.5, 15.0)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between 12.5 and 13.5 on the MonsoonIntensity feature.\n", + "SOLUTION: 13.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values within the intervals provided for the feature \"Parch\". \n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Absolute difference between (0.0, 0.5) and (0.5, 1.5): |-0.055 - 0.085| = 0.14\n", + " - Absolute difference between (0.5, 1.5) and (1.5, 3.0): |-0.299 - (-0.055)| = 0.244\n", + " - Absolute difference between (1.5, 3.0) and (3.0, 4.0): |-1.704 - (-0.299)| = 1.405\n", + "\n", + "2. Identify the largest absolute difference, which represents the largest jump in the graph:\n", + " - The largest absolute difference is 1.405, which occurs between the intervals (1.5, 3.0) and (3.0, 4.0).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph for the feature \"Parch\" is between 1.5 and 3.0.\n", + "SOLUTION: 3.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(113.0, 114.5)\" and \"(114.5, 118.5)\": |0.283 - (-1.269)| = 1.552\n", + "2. Absolute difference between \"(114.5, 118.5)\" and \"(118.5, 124.5)\": |3.539 - 0.283| = 3.256\n", + "3. Absolute difference between \"(118.5, 124.5)\" and \"(124.5, 126.5)\": |2.46 - 3.539| = 1.079\n", + "4. Absolute difference between \"(124.5, 126.5)\" and \"(126.5, 127.5)\": |4.042 - 2.46| = 1.582\n", + "5. Absolute difference between \"(126.5, 127.5)\" and \"(127.5, 129.5)\": |3.553 - 4.042| = 0.489\n", + "6. Absolute difference between \"(127.5, 129.5)\" and \"(129.5, 130.5)\": |0.953 - 3.553| = 2.6\n", + "7. Absolute difference between \"(129.5, 130.5)\" and \"(130.5, 132.5)\": |1.22 - 0.953| = 0.267\n", + "8. Absolute difference between \"(130.5, 132.5)\" and \"(132.5, 133.5)\": |-1.094 - 1.22| = 2.314\n", + "9. Absolute difference between \"(132.5, 133.5)\" and \"(133.5, 135.5)\": |0.587 - (-1.094)| = 1.681\n", + "10. Absolute difference between \"(133.5, 135.5)\" and \"(135.5, 138.5)\": |-0.629 - 0.587| = 1.216\n", + "11. Absolute difference between \"(135.5, 138.5)\" and \"(138.5, 144.5)\": |-0.233 - (-0.629)| = 0.396\n", + "12. Absolute difference between \"(138.5, 144.5)\" and \"(144.5, 148.0)\": |0.113 - (-0.233)| = 0.346\n", + "\n", + "The largest absolute difference is 3.256, which occurs between the intervals \"(114.5, 118.5)\" and \"(118.5, 124.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval range of 114.5 to 118.5 for the feature \"serum_sodium\".\n", + "SOLUTION: 118.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -1.149 and -1.016: 0.133\n", + "2. Absolute difference between -1.016 and -0.883: 0.133\n", + "3. Absolute difference between -0.883 and -0.747: 0.136\n", + "4. Absolute difference between -0.747 and -0.616: 0.131\n", + "5. Absolute difference between -0.616 and -0.485: 0.131\n", + "6. Absolute difference between -0.485 and -0.349: 0.136\n", + "7. Absolute difference between -0.349 and -0.212: 0.137\n", + "8. Absolute difference between -0.212 and -0.078: 0.134\n", + "9. Absolute difference between -0.078 and 0.055: 0.133\n", + "10. Absolute difference between 0.055 and 0.19: 0.135\n", + "11. Absolute difference between 0.19 and 0.335: 0.145\n", + "12. Absolute difference between 0.335 and 0.469: 0.134\n", + "13. Absolute difference between 0.469 and 0.601: 0.132\n", + "14. Absolute difference between 0.601 and 0.734: 0.133\n", + "15. Absolute difference between 0.734 and 0.866: 0.132\n", + "16. Absolute difference between 0.866 and 0.997: 0.131\n", + "17. Absolute difference between 0.997 and 1.132: 0.135\n", + "18. Absolute difference between 1.132 and 1.274: 0.142\n", + "19. Absolute difference between 1.274 and 1.406: 0.132\n", + "\n", + "The largest absolute difference is 0.145, which occurs between the intervals (17.22, 17.78) and (17.78, 18.655).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (17.22, 17.78).\n", + "SOLUTION: 17.22\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values for each interval.\n", + "2. Identify the interval with the largest absolute difference.\n", + "\n", + "Let's perform the calculations:\n", + "\n", + "- Absolute difference between mean values for each interval:\n", + " - (0.01938, 0.03164): Absolute difference = |0.0558 - 0.0135| = 0.0423\n", + " - (0.03164, 0.035445000000000004): Absolute difference = |0.0934 - 0.0558| = 0.0376\n", + " - (0.035445000000000004, 0.03732): Absolute difference = |0.1327 - 0.0934| = 0.0393\n", + " - ...\n", + " - (0.28075, 0.3114): Absolute difference = |0.3427 - 0.2996| = 0.0431\n", + "\n", + "The largest absolute difference is 0.0431, which occurs in the interval (0.28075, 0.3114).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (0.28075, 0.3114).\n", + "SOLUTION: 0.066575\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the greatest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values in the provided intervals:\n", + " - Absolute difference between (18.0, 32.5) and (32.5, 34.5): |0.83 - 0.681| = 0.149\n", + " - Absolute difference between (32.5, 34.5) and (34.5, 37.5): |0.681 - 0.423| = 0.258\n", + " - Absolute difference between (34.5, 37.5) and (37.5, 38.5): |0.423 - 0.281| = 0.142\n", + " - Absolute difference between (37.5, 38.5) and (38.5, 39.5): |0.281 - 0.054| = 0.227\n", + " - Absolute difference between (38.5, 39.5) and (39.5, 40.5): |0.054 - (-0.193)| = 0.247\n", + " - Absolute difference between (39.5, 40.5) and (40.5, 41.5): |-0.193 - (-0.354)| = 0.161\n", + " - Absolute difference between (40.5, 41.5) and (41.5, 42.5): |-0.354 - (-0.494)| = 0.14\n", + " - Absolute difference between (41.5, 42.5) and (42.5, 44.5): |-0.494 - (-0.781)| = 0.287\n", + " - Absolute difference between (42.5, 44.5) and (44.5, 46.5): |-0.781 - (-1.075)| = 0.294\n", + " - Absolute difference between (44.5, 46.5) and (46.5, 48.5): |-1.075 - (-1.546)| = 0.471\n", + " - Absolute difference between (46.5, 48.5) and (48.5, 54.5): |-1.546 - (-1.717)| = 0.171\n", + " - Absolute difference between (48.5, 54.5) and (54.5, 56.5): |-1.717 - (-1.858)| = 0.141\n", + " - Absolute difference between (54.5, 56.5) and (56.5, 64.5): |-1.858 - (-1.707)| = 0.151\n", + " - Absolute difference between (56.5, 64.5) and (64.5, 66.5): |-1.707 - (-1.27)| = 0.437\n", + " - Absolute difference between (64.5, 66.5) and (66.5, 69.5): |-1.27 - (-1.118)| = 0.152\n", + " - Absolute difference between (66.5, 69.5) and (69.5, 70.5): |-1.118 - (-0.888)| = 0.23\n", + " - Absolute difference between (69.5, 70.5) and (70.5, 72.5): |-0.888 - (-0.587)| = 0.301\n", + " - Absolute difference between (70.5, 72.5) and (72.5, 74.5): |-0.587 - (-0.31)| = 0.277\n", + " - Absolute difference between (72.5, 74.5) and (74.5, 81.0): |-0.31 - (-0.157)| = 0.153\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - The largest absolute difference is 0.471, which occurs between the intervals (44.5, 46.5) and (46.5, 48.5).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the ages of 44.5 and 46.5.\n", + "SOLUTION: 46.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(0.0, 1.5)\" and \"(1.5, 2.5)\": \n", + " |-0.02549 - (-0.01575)| = 0.00974\n", + "\n", + "2. Absolute difference between \"(1.5, 2.5)\" and \"(2.5, 3.5)\": \n", + " |-0.01575 - (-0.01061)| = 0.00514\n", + "\n", + "3. Absolute difference between \"(2.5, 3.5)\" and \"(3.5, 4.5)\": \n", + " |-0.01061 - (-0.0046)| = 0.00601\n", + "\n", + "4. Absolute difference between \"(3.5, 4.5)\" and \"(4.5, 5.5)\": \n", + " |-0.0046 - 0.00059| = 0.00519\n", + "\n", + "5. Absolute difference between \"(4.5, 5.5)\" and \"(5.5, 6.5)\": \n", + " |0.00059 - 0.00567| = 0.00508\n", + "\n", + "6. Absolute difference between \"(5.5, 6.5)\" and \"(6.5, 7.5)\": \n", + " |0.00567 - 0.01201| = 0.00634\n", + "\n", + "7. Absolute difference between \"(6.5, 7.5)\" and \"(7.5, 9.5)\": \n", + " |0.01201 - 0.01601| = 0.004\n", + "\n", + "8. Absolute difference between \"(7.5, 9.5)\" and \"(9.5, 10.5)\": \n", + " |0.01601 - 0.02531| = 0.0093\n", + "\n", + "9. Absolute difference between \"(9.5, 10.5)\" and \"(10.5, 11.5)\": \n", + " |0.02531 - 0.02956| = 0.00425\n", + "\n", + "10. Absolute difference between \"(10.5, 11.5)\" and \"(11.5, 12.5)\": \n", + " |0.02956 - 0.04031| = 0.01075\n", + "\n", + "11. Absolute difference between \"(11.5, 12.5)\" and \"(12.5, 14.0)\": \n", + " |0.04031 - 0.04423| = 0.00392\n", + "\n", + "The largest absolute difference is 0.01075, which occurs between the intervals \"(10.5, 11.5)\" and \"(11.5, 12.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (10.5, 11.5).\n", + "SOLUTION: 11.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Absolute difference between \"(0.0, 125.5)\" and \"(125.5, 541.5)\": |-0.211 - (-0.032)| = 0.179\n", + " - Absolute difference between \"(125.5, 541.5)\" and \"(541.5, 808.5)\": |0.034 - (-0.211)| = 0.245\n", + " - Absolute difference between \"(541.5, 808.5)\" and \"(808.5, 1082.0)\": |0.213 - 0.034| = 0.179\n", + " - Absolute difference between \"(808.5, 1082.0)\" and \"(1082.0, 1187.0)\": |-0.042 - 0.213| = 0.255\n", + " - Absolute difference between \"(1082.0, 1187.0)\" and \"(1187.0, 1434.5)\": |0.401 - (-0.042)| = 0.443\n", + " - Absolute difference between \"(1187.0, 1434.5)\" and \"(1434.5, 1658.5)\": |0.585 - 0.401| = 0.184\n", + " - Absolute difference between \"(1434.5, 1658.5)\" and \"(1658.5, 1968.5)\": |0.948 - 0.585| = 0.363\n", + " - Absolute difference between \"(1658.5, 1968.5)\" and \"(1968.5, 3394.5)\": |1.235 - 0.948| = 0.287\n", + " - Absolute difference between \"(1968.5, 3394.5)\" and \"(3394.5, 3460.0)\": |0.871 - 1.235| = 0.364\n", + " - Absolute difference between \"(3394.5, 3460.0)\" and \"(3460.0, 3741.5)\": |1.066 - 0.871| = 0.195\n", + " - Absolute difference between \"(3460.0, 3741.5)\" and \"(3741.5, 4803.5)\": |2.339 - 1.066| = 1.273\n", + " - Absolute difference between \"(3741.5, 4803.5)\" and \"(4803.5, 5204.0)\": |2.909 - 2.339| = 0.570\n", + " - Absolute difference between \"(4803.5, 5204.0)\" and \"(5204.0, 12253.0)\": |3.236 - 2.909| = 0.327\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - The largest absolute difference is 1.273, which occurs between the intervals \"(3460.0, 3741.5)\" and \"(3741.5, 4803.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(3460.0, 3741.5)\".\n", + "SOLUTION: 3741.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the provided intervals. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(3.0, 14.5)\" and \"(14.5, 25.5)\":\n", + " Absolute difference = |125210.2 - 92452.9| = 32757.3\n", + "\n", + "2. Absolute difference between \"(14.5, 25.5)\" and \"(25.5, 65.5)\":\n", + " Absolute difference = |92452.9 - 80407.9| = 12045.0\n", + "\n", + "3. Absolute difference between \"(25.5, 65.5)\" and \"(65.5, 138.5)\":\n", + " Absolute difference = |80407.9 - 91917.4| = 11509.5\n", + "\n", + "4. Continue calculating the absolute differences between consecutive mean values for all intervals.\n", + "\n", + "After calculating all absolute differences, we will identify the interval with the largest absolute difference. The x-axis position of this interval will correspond to the position of the largest jump in the graph.\n", + "\n", + "Let's perform the calculations to determine the x-axis position of the largest jump.\n", + "SOLUTION: 14.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -1.054 and -0.937 = 0.117\n", + "2. Absolute difference between -0.937 and -0.821 = 0.116\n", + "3. Absolute difference between -0.821 and -0.705 = 0.116\n", + "4. Absolute difference between -0.705 and -0.582 = 0.123\n", + "5. Absolute difference between -0.582 and -0.466 = 0.116\n", + "6. Absolute difference between -0.466 and -0.352 = 0.114\n", + "7. Absolute difference between -0.352 and -0.235 = 0.117\n", + "8. Absolute difference between -0.235 and -0.115 = 0.12\n", + "9. Absolute difference between -0.115 and 0.04 = 0.155\n", + "10. Absolute difference between 0.04 and 0.233 = 0.193\n", + "11. Absolute difference between 0.233 and 0.35 = 0.117\n", + "12. Absolute difference between 0.35 and 0.474 = 0.124\n", + "13. Absolute difference between 0.474 and 0.592 = 0.118\n", + "14. Absolute difference between 0.592 and 0.711 = 0.119\n", + "15. Absolute difference between 0.711 and 0.832 = 0.121\n", + "16. Absolute difference between 0.832 and 0.949 = 0.117\n", + "17. Absolute difference between 0.949 and 1.068 = 0.119\n", + "18. Absolute difference between 1.068 and 1.187 = 0.119\n", + "\n", + "The largest absolute difference is 0.193, which occurs between the intervals (0.048865, 0.059615) and (0.059615, 0.070395).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (0.048865, 0.059615).\n", + "SOLUTION: 0.048865\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To identify the position of the largest jump in the graph, we need to compare the mean values within each interval and calculate the absolute differences between adjacent intervals. The largest jump will occur where the absolute difference between mean values is the greatest.\n", + "\n", + "Let's calculate the absolute differences between mean values for each adjacent interval:\n", + "\n", + "1. Between (0.0, 0.5) and (0.5, 1.5):\n", + " Absolute difference = |0.511 - (-0.233)| = 0.744\n", + "\n", + "2. Between (0.5, 1.5) and (1.5, 2.5):\n", + " Absolute difference = |-0.233 - (-0.666)| = 0.433\n", + "\n", + "3. Between (1.5, 2.5) and (2.5, 3.5):\n", + " Absolute difference = |-0.666 - (-1.006)| = 0.34\n", + "\n", + "4. Between (2.5, 3.5) and (3.5, 4.5):\n", + " Absolute difference = |-1.006 - (-0.529)| = 0.477\n", + "\n", + "5. Between (3.5, 4.5) and (4.5, 5.0):\n", + " Absolute difference = |-0.529 - 1.753| = 2.282\n", + "\n", + "The largest absolute jump occurs between the intervals (3.5, 4.5) and (4.5, 5.0) with a magnitude of 2.282.\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between 3.5 and 4.5.\n", + "SOLUTION: 4.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values for each interval:\n", + " - For example, for the interval \"(2.0, 4.5)\", the absolute difference is |-19829.1 - (-10633.3)| = 9185.8\n", + " - Repeat this calculation for all intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference. This interval represents the largest jump in the graph.\n", + "\n", + "Let's calculate the absolute differences and find the interval with the largest jump:\n", + "\n", + "- Absolute differences:\n", + " - \"(2.0, 4.5)\": 9185.8\n", + " - \"(4.5, 9.5)\": 13525.9\n", + " - \"(9.5, 12.5)\": 3458.9\n", + " - \"(12.5, 14.5)\": 5826.0\n", + " - \"(14.5, 17.5)\": 6629.4\n", + " - \"(17.5, 20.5)\": 16699.3\n", + " - \"(20.5, 22.5)\": 8308.8\n", + " - \"(22.5, 25.5)\": 19471.8\n", + " - \"(25.5, 29.5)\": 6357.2\n", + " - \"(29.5, 111.5)\": 556.6\n", + " - \"(111.5, 112.5)\": 13717.0\n", + " - \"(112.5, 176.5)\": 1629.0\n", + " - \"(176.5, 245.5)\": 6097.2\n", + " - \"(245.5, 265.5)\": 6995.3\n", + " - \"(265.5, 268.5)\": 5636.7\n", + " - \"(268.5, 317.5)\": 8913.2\n", + " - \"(317.5, 424.5)\": 5894.3\n", + " - \"(424.5, 463.5)\": 7149.2\n", + " - \"(463.5, 512.5)\": 11890.9\n", + " - \"(512.5, 513.5)\": 10153.5\n", + " - \"(513.5, 655.5)\": 4330.1\n", + " - \"(655.5, 697.5)\": 7256.5\n", + " - \"(697.5, 776.5)\": 7064.5\n", + " - \"(776.5, 779.5)\": 8985.1\n", + " - \"(779.5, 1008.5)\": 3842.7\n", + " - \"(1008.5, 1012.5)\": 16836.2\n", + " - \"(1012.5, 1081.5)\": 7416.4\n", + " - \"(1081.5, 1449.5)\": 6943.9\n", + " - \"(1449.5, 1490.5)\": 14739.2\n", + " - \"(1490.5, 1616.0)\": 7386.8\n", + " - \"(1616.0, 2714.5)\": 11887.8\n", + " - \"(2714.5, 2865.5)\": 7876.4\n", + " - \"(2865.5, 6445.0)\": 9298.0\n", + "\n", + "The largest absolute difference is 19471.8 for the interval \"(22.5, 25.5)\". Therefore, the x-axis position of the largest jump in the graph is within the interval \"(22.5, 25.5)\".\n", + "SOLUTION: 22.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the BloodPressure feature. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.0, 15.0) and (15.0, 37.0):\n", + " Absolute difference = |0.236 - 0.1532| = 0.0828\n", + "\n", + "2. Absolute difference between (15.0, 37.0) and (37.0, 45.0):\n", + " Absolute difference = |0.1532 - (-0.0296)| = 0.1828\n", + "\n", + "3. Absolute difference between (37.0, 45.0) and (45.0, 47.0):\n", + " Absolute difference = |-0.0296 - (-0.0891)| = 0.0595\n", + "\n", + "4. Absolute difference between (45.0, 47.0) and (47.0, 54.5):\n", + " Absolute difference = |-0.0891 - (-0.1348)| = 0.0457\n", + "\n", + "5. Absolute difference between (47.0, 54.5) and (54.5, 60.5):\n", + " Absolute difference = |-0.1348 - (-0.1774)| = 0.0426\n", + "\n", + "6. Absolute difference between (54.5, 60.5) and (60.5, 61.5):\n", + " Absolute difference = |-0.1774 - (-0.11)| = 0.0674\n", + "\n", + "7. Absolute difference between (60.5, 61.5) and (61.5, 64.5):\n", + " Absolute difference = |-0.11 - (-0.0541)| = 0.0559\n", + "\n", + "8. Absolute difference between (61.5, 64.5) and (64.5, 74.5):\n", + " Absolute difference = |-0.0541 - (-0.0119)| = 0.0422\n", + "\n", + "9. Absolute difference between (64.5, 74.5) and (74.5, 75.5):\n", + " Absolute difference = |-0.0119 - (-0.058)| = 0.0461\n", + "\n", + "10. Absolute difference between (74.5, 75.5) and (75.5, 83.0):\n", + " Absolute difference = |-0.058 - (-0.004)| = 0.054\n", + "\n", + "11. Absolute difference between (75.5, 83.0) and (83.0, 93.0):\n", + " Absolute difference = |-0.004 - 0.0343| = 0.0383\n", + "\n", + "12. Absolute difference between (83.0, 93.0) and (93.0, 95.0):\n", + " Absolute difference = |0.0343 - 0.0889| = 0.0546\n", + "\n", + "13. Absolute difference between (93.0, 95.0) and (95.0, 97.0):\n", + " Absolute difference = |0.0889 - 0.1461| = 0.0572\n", + "\n", + "14. Absolute difference between (95.0, 97.0) and (97.0, 101.0):\n", + " Absolute difference = |0.1461 - 0.183| = 0.0369\n", + "\n", + "15. Absolute difference between (97.0, 101.0) and (101.0, 103.0):\n", + " Absolute difference = |0.183 - 0.2699| = 0.0869\n", + "\n", + "16. Absolute difference between (101.0, 103.0) and (103.0, 107.0):\n", + " Absolute difference = |0.2699 - 0.3158| = 0.0459\n", + "\n", + "17. Absolute difference between (103.0, 107.0) and (107.0, 109.0):\n", + " Absolute difference = |0.3158 - 0.3837| = 0.0679\n", + "\n", + "18. Absolute difference between (107.0, 109.0) and (109.0, 110.0):\n", + " Absolute difference = |0.3837 - 0.5269| = 0.1432\n", + "\n", + "The largest absolute difference is 0.1828 between the intervals (15.0, 37.0) and (37.0, 45.0). Therefore, the x-axis position of the largest jump in the graph is within the interval (15.0, 37.0).\n", + "SOLUTION: 37.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals. The largest jump will be the interval where this absolute difference is the greatest.\n", + "\n", + "Let's calculate the absolute differences in mean values between adjacent intervals:\n", + "\n", + "1. Calculate the absolute differences in mean values:\n", + " - Between (0.0, 105.5) and (105.5, 296.5): |0.328 - 0.028| = 0.3\n", + " - Between (105.5, 296.5) and (296.5, 335.5): |0.028 - (-0.208)| = 0.236\n", + " - Between (296.5, 335.5) and (335.5, 340.0): |-0.208 - 0.165| = 0.373\n", + " - Continue this calculation for all adjacent intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - The largest absolute difference is between (3249.5, 14327.0) and (2336.5, 2420.0) with an absolute difference of |(-4.146) - (-2.559)| = 1.587\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the intervals (3249.5, 14327.0) and (2336.5, 2420.0).\n", + "SOLUTION: 2336.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (14.0, 16.0) and (16.0, 22.5):\n", + " Absolute difference = |4.55 - 3.26| = 1.29\n", + "\n", + "2. Absolute difference between (16.0, 22.5) and (22.5, 27.5):\n", + " Absolute difference = |3.26 - 1.89| = 1.37\n", + "\n", + "3. Absolute difference between (22.5, 27.5) and (27.5, 32.5):\n", + " Absolute difference = |1.89 - (-0.42)| = 2.31\n", + "\n", + "4. Absolute difference between (27.5, 32.5) and (32.5, 36.5):\n", + " Absolute difference = |-0.42 - (-1.76)| = 1.34\n", + "\n", + "5. Absolute difference between (32.5, 36.5) and (36.5, 39.0):\n", + " Absolute difference = |-1.76 - 0.48| = 2.24\n", + "\n", + "6. Absolute difference between (36.5, 39.0) and (39.0, 61.0):\n", + " Absolute difference = |0.48 - (-0.83)| = 1.31\n", + "\n", + "7. Absolute difference between (39.0, 61.0) and (61.0, 67.5):\n", + " Absolute difference = |-0.83 - 0.08| = 0.91\n", + "\n", + "8. Absolute difference between (61.0, 67.5) and (67.5, 75.0):\n", + " Absolute difference = |0.08 - 0.8| = 0.72\n", + "\n", + "9. Absolute difference between (67.5, 75.0) and (75.0, 80.0):\n", + " Absolute difference = |0.8 - (-5.67)| = 6.47\n", + "\n", + "The largest absolute difference is 6.47, which occurs between the intervals (67.5, 75.0) and (75.0, 80.0). Therefore, the x-axis position of the largest jump in the graph is within the interval (67.5, 75.0).\n", + "SOLUTION: 75.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals. The largest jump will be the interval where this absolute difference is the greatest.\n", + "\n", + "Let's calculate the absolute differences in mean values between adjacent intervals:\n", + "\n", + "1. Absolute difference between \"(9.71, 13.24)\" and \"(13.24, 14.075)\":\n", + " Absolute difference = |-1.121 - (-1.023)| = 0.098\n", + "\n", + "2. Absolute difference between \"(13.24, 14.075)\" and \"(14.075, 14.665)\":\n", + " Absolute difference = |-1.023 - (-0.921)| = 0.102\n", + "\n", + "3. Absolute difference between \"(14.075, 14.665)\" and \"(14.665, 15.010000000000002)\":\n", + " Absolute difference = |-0.921 - (-0.82)| = 0.101\n", + "\n", + "4. Continue calculating the absolute differences for all adjacent intervals.\n", + "\n", + "After calculating the absolute differences for all intervals, we will identify the interval with the largest absolute difference. The x-axis position of this interval will correspond to the position of the largest jump in the graph.\n", + "\n", + "Let's perform these calculations to determine the x-axis position of the largest jump in the graph.\n", + "SOLUTION: 20.235\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals. The largest jump will be the interval where the absolute difference is the greatest.\n", + "\n", + "Let's calculate the absolute differences in mean values between adjacent intervals:\n", + "\n", + "1. Absolute difference between \"(0.0, 0.5)\" and \"(0.5, 1.5)\": \n", + " Absolute difference = |-0.02484 - (-0.02089)| = 0.00395\n", + "\n", + "2. Absolute difference between \"(0.5, 1.5)\" and \"(1.5, 2.5)\":\n", + " Absolute difference = |-0.02089 - (-0.01739)| = 0.0035\n", + "\n", + "3. Absolute difference between \"(1.5, 2.5)\" and \"(2.5, 3.5)\":\n", + " Absolute difference = |-0.01739 - (-0.01124)| = 0.00615\n", + "\n", + "4. Absolute difference between \"(2.5, 3.5)\" and \"(3.5, 4.5)\":\n", + " Absolute difference = |-0.01124 - (-0.00474)| = 0.0065\n", + "\n", + "5. Absolute difference between \"(3.5, 4.5)\" and \"(4.5, 5.5)\":\n", + " Absolute difference = |-0.00474 - 0.00077| = 0.00551\n", + "\n", + "6. Absolute difference between \"(4.5, 5.5)\" and \"(5.5, 6.5)\":\n", + " Absolute difference = |0.00077 - 0.00574| = 0.00497\n", + "\n", + "7. Absolute difference between \"(5.5, 6.5)\" and \"(6.5, 7.5)\":\n", + " Absolute difference = |0.00574 - 0.01068| = 0.00494\n", + "\n", + "8. Absolute difference between \"(6.5, 7.5)\" and \"(7.5, 8.5)\":\n", + " Absolute difference = |0.01068 - 0.01599| = 0.00531\n", + "\n", + "9. Absolute difference between \"(7.5, 8.5)\" and \"(8.5, 9.5)\":\n", + " Absolute difference = |0.01599 - 0.02231| = 0.00632\n", + "\n", + "10. Absolute difference between \"(8.5, 9.5)\" and \"(9.5, 10.5)\":\n", + " Absolute difference = |0.02231 - 0.02667| = 0.00436\n", + "\n", + "11. Absolute difference between \"(9.5, 10.5)\" and \"(10.5, 13.5)\":\n", + " Absolute difference = |0.02667 - 0.03305| = 0.00638\n", + "\n", + "12. Absolute difference between \"(10.5, 13.5)\" and \"(13.5, 16.0)\":\n", + " Absolute difference = |0.03305 - 0.02016| = 0.01289\n", + "\n", + "The largest absolute difference occurs between the intervals \"(10.5, 13.5)\" and \"(13.5, 16.0)\" with a value of 0.01289. This represents the largest jump in the graph.\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between 10.5 and 13.5.\n", + "SOLUTION: 13.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the greatest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values in the provided intervals:\n", + " - Absolute difference between (-0.7) and (-0.961) = 0.261\n", + " - Absolute difference between (-0.961) and (-0.856) = 0.105\n", + " - Absolute difference between (-0.856) and (-0.762) = 0.094\n", + " - Absolute difference between (-0.762) and (-0.661) = 0.101\n", + " - Absolute difference between (-0.661) and (-0.24) = 0.421\n", + " - Absolute difference between (-0.24) and (-0.144) = 0.096\n", + " - Absolute difference between (-0.144) and (-0.051) = 0.093\n", + " - Absolute difference between (-0.051) and (0.049) = 0.1\n", + " - Absolute difference between (0.049) and (0.153) = 0.104\n", + " - Absolute difference between (0.153) and (0.246) = 0.093\n", + " - Absolute difference between (0.246) and (0.34) = 0.094\n", + " - Absolute difference between (0.34) and (0.434) = 0.094\n", + " - Absolute difference between (0.434) and (0.529) = 0.095\n", + " - Absolute difference between (0.529) and (0.626) = 0.097\n", + " - Absolute difference between (0.626) and (0.784) = 0.158\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - The largest absolute difference is 0.421, which occurs between the intervals \"(25.55, 26.35)\" and \"(26.35, 27.65)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(25.55, 26.35)\".\n", + "SOLUTION: 26.35\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where the absolute difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(0.0, 0.5)\" and \"(0.5, 1.5)\": |-0.02565 - (-0.02133)| = 0.00432\n", + "2. Absolute difference between \"(0.5, 1.5)\" and \"(1.5, 2.5)\": |-0.02133 - (-0.01683)| = 0.0045\n", + "3. Absolute difference between \"(1.5, 2.5)\" and \"(2.5, 3.5)\": |-0.01683 - (-0.00993)| = 0.0069\n", + "4. Absolute difference between \"(2.5, 3.5)\" and \"(3.5, 4.5)\": |-0.00993 - (-0.00473)| = 0.0052\n", + "5. Absolute difference between \"(3.5, 4.5)\" and \"(4.5, 5.5)\": |-0.00473 - (-1e-05)| = 0.00472\n", + "6. Absolute difference between \"(4.5, 5.5)\" and \"(5.5, 6.5)\": |-1e-05 - 0.00511| = 0.00512\n", + "7. Absolute difference between \"(5.5, 6.5)\" and \"(6.5, 7.5)\": |0.00511 - 0.01148| = 0.00637\n", + "8. Absolute difference between \"(6.5, 7.5)\" and \"(7.5, 8.5)\": |0.01148 - 0.01621| = 0.00473\n", + "9. Absolute difference between \"(7.5, 8.5)\" and \"(8.5, 9.5)\": |0.01621 - 0.02476| = 0.00855\n", + "10. Absolute difference between \"(8.5, 9.5)\" and \"(9.5, 11.5)\": |0.02476 - 0.02962| = 0.00486\n", + "11. Absolute difference between \"(9.5, 11.5)\" and \"(11.5, 12.5)\": |0.02962 - 0.03469| = 0.00507\n", + "12. Absolute difference between \"(11.5, 12.5)\" and \"(12.5, 13.5)\": |0.03469 - 0.04866| = 0.01397\n", + "13. Absolute difference between \"(12.5, 13.5)\" and \"(13.5, 16.0)\": |0.04866 - 0.05902| = 0.01036\n", + "\n", + "The largest absolute difference is 0.01397, which occurs between the intervals \"(11.5, 12.5)\" and \"(12.5, 13.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(11.5, 12.5)\".\n", + "SOLUTION: 12.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Absolute difference between \"(1.0, 1.5)\" and \"(1.5, 2.5)\": |-0.765 - (-0.375)| = 0.39\n", + " - Absolute difference between \"(1.5, 2.5)\" and \"(2.5, 4.5)\": |-0.375 - (-1.909)| = 1.534\n", + " - Continue this calculation for all consecutive intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference. This interval will correspond to the position of the largest jump in the graph.\n", + "\n", + "Let's perform these calculations: \n", + "\n", + "- Absolute differences between consecutive mean values:\n", + " - |0.39|, |1.534|, |0.792|, |0.491|, |0.499|, |0.314|, |0.31|, |0.765|, |0.321|, |0.266|, |0.338|, |0.185|, |0.261|, |0.261|, |0.219|, |0.259|, |0.56|, |0.436|, |0.436|, |0.587|, |0.373|, |0.805|, |0.235|, |0.514|, |0.665|, |0.481|, |0.263|, |0.41|\n", + "\n", + "The largest absolute difference is 0.805, which occurs between the intervals \"(79.0, 83.0)\" and \"(83.0, 85.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between 79.0 and 83.0 on the HoursPerWeek feature.\n", + "SOLUTION: 2.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To identify the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(0.0, 0.5)\" and \"(0.5, 2.5)\": \n", + " |-0.02081 - (-0.02956)| = 0.00875\n", + "\n", + "2. Absolute difference between \"(0.5, 2.5)\" and \"(2.5, 3.5)\": \n", + " |-0.00998 - (-0.02081)| = 0.01083\n", + "\n", + "3. Absolute difference between \"(2.5, 3.5)\" and \"(3.5, 4.5)\": \n", + " |-0.00524 - (-0.00998)| = 0.00474\n", + "\n", + "4. Absolute difference between \"(3.5, 4.5)\" and \"(4.5, 5.5)\": \n", + " |0.00043 - (-0.00524)| = 0.00567\n", + "\n", + "5. Absolute difference between \"(4.5, 5.5)\" and \"(5.5, 6.5)\": \n", + " |0.00515 - 0.00043| = 0.00472\n", + "\n", + "6. Absolute difference between \"(5.5, 6.5)\" and \"(6.5, 8.5)\": \n", + " |0.01107 - 0.00515| = 0.00592\n", + "\n", + "7. Absolute difference between \"(6.5, 8.5)\" and \"(8.5, 10.5)\": \n", + " |0.02102 - 0.01107| = 0.00995\n", + "\n", + "8. Absolute difference between \"(8.5, 10.5)\" and \"(10.5, 11.5)\": \n", + " |0.02728 - 0.02102| = 0.00626\n", + "\n", + "9. Absolute difference between \"(10.5, 11.5)\" and \"(11.5, 13.5)\": \n", + " |0.0456 - 0.02728| = 0.01832\n", + "\n", + "10. Absolute difference between \"(11.5, 13.5)\" and \"(13.5, 14.5)\": \n", + " |0.05244 - 0.0456| = 0.00684\n", + "\n", + "11. Absolute difference between \"(13.5, 14.5)\" and \"(14.5, 17.0)\": \n", + " |0.06161 - 0.05244| = 0.00917\n", + "\n", + "The largest absolute difference is 0.01832, which occurs between the intervals \"(10.5, 11.5)\" and \"(11.5, 13.5)\". Therefore, the x-axis position of the largest jump in the graph is within the interval (10.5, 11.5).\n", + "SOLUTION: 11.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Absolute difference between (0.0, 1.5) and (1.5, 2.5): |-0.02643 - (-0.01529)| = 0.01114\n", + " - Absolute difference between (1.5, 2.5) and (2.5, 3.5): |-0.01529 - (-0.01037)| = 0.00492\n", + " - Absolute difference between (2.5, 3.5) and (3.5, 4.5): |-0.01037 - (-0.00562)| = 0.00475\n", + " - Absolute difference between (3.5, 4.5) and (4.5, 5.5): |-0.00562 - 0.00068| = 0.00630\n", + " - Absolute difference between (4.5, 5.5) and (5.5, 6.5): |0.00068 - 0.00591| = 0.00523\n", + " - Absolute difference between (5.5, 6.5) and (6.5, 7.5): |0.00591 - 0.01127| = 0.00536\n", + " - Absolute difference between (6.5, 7.5) and (7.5, 8.5): |0.01127 - 0.01553| = 0.00426\n", + " - Absolute difference between (7.5, 8.5) and (8.5, 10.5): |0.01553 - 0.02363| = 0.00810\n", + " - Absolute difference between (8.5, 10.5) and (10.5, 11.5): |0.02363 - 0.03038| = 0.00675\n", + " - Absolute difference between (10.5, 11.5) and (11.5, 12.5): |0.03038 - 0.03607| = 0.00569\n", + " - Absolute difference between (11.5, 12.5) and (12.5, 13.5): |0.03607 - 0.04087| = 0.00480\n", + " - Absolute difference between (12.5, 13.5) and (13.5, 15.0): |0.04087 - 0.04477| = 0.00390\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - The largest absolute difference is 0.01114 between the intervals (0.0, 1.5) and (1.5, 2.5).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between 0.0 and 1.5 in the feature \"Siltation\".\n", + "SOLUTION: 1.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the greatest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values in each interval:\n", + " - Absolute difference for each interval:\n", + " - (0.0008948, 0.001092): |0.3286 - 0.2818| = 0.0468\n", + " - (0.001092, 0.0014135): |0.2713 - 0.3286| = 0.0573\n", + " - (0.0014135, 0.0015165): |0.2283 - 0.2713| = 0.043\n", + " - (0.0015165, 0.0017545): |0.144 - 0.2283| = 0.0843\n", + " - (0.0017545, 0.0017905): |0.0956 - 0.144| = 0.0484\n", + " - (0.0017905, 0.0019039999999999999): |0.0526 - 0.0956| = 0.043\n", + " - (0.0019039999999999999, 0.0021525): |0.0073 - 0.0526| = 0.0453\n", + " - (0.0021525, 0.002572): |0.1543 - 0.0073| = 0.147\n", + " - (0.002572, 0.002761): |0.1971 - 0.1543| = 0.0428\n", + " - (0.002761, 0.003308): |0.1525 - 0.1971| = 0.0446\n", + " - (0.003308, 0.0033604999999999998): |0.1049 - 0.1525| = 0.0476\n", + " - (0.0033604999999999998, 0.0035329999999999997): |0.0586 - 0.1049| = 0.0463\n", + " - (0.0035329999999999997, 0.003736): |0.0157 - 0.0586| = 0.0429\n", + " - (0.003736, 0.003907): |-0.029 - 0.0157| = 0.0447\n", + " - (0.003907, 0.004092500000000001): |-0.0717 - (-0.029)| = 0.0427\n", + " - (0.004092500000000001, 0.0045775): |-0.1177 - (-0.0717)| = 0.046\n", + " - (0.0045775, 0.0045935): |-0.1739 - (-0.1177)| = 0.0562\n", + " - (0.0045935, 0.004644499999999999): |-0.2208 - (-0.1739)| = 0.0469\n", + " - (0.004644499999999999, 0.004809): |-0.2666 - (-0.2208)| = 0.0458\n", + " - (0.004809, 0.005856500000000001): |-0.31 - (-0.2666)| = 0.0434\n", + " - (0.005856500000000001, 0.007497500000000001): |-0.356 - (-0.31)| = 0.046\n", + " - (0.007497500000000001, 0.009717): |-0.4 - (-0.356)| = 0.044\n", + " - (0.009717, 0.0127): |-0.4439 - (-0.4)| = 0.0439\n", + " - (0.0127, 0.02984): |-0.4 - (-0.4439)| = 0.0439\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - The largest absolute difference is 0.0843 in the interval (0.0015165, 0.0017545).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (0.0015165, 0.0017545).\n", + "SOLUTION: 0.002572\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the graph. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (-0.295) and (-0.472) = 0.177\n", + "2. Absolute difference between (-0.472) and (-0.549) = 0.077\n", + "3. Absolute difference between (-0.549) and (-0.469) = 0.08\n", + "4. Absolute difference between (-0.469) and (-0.392) = 0.077\n", + "5. Absolute difference between (-0.392) and (-0.31) = 0.082\n", + "6. Absolute difference between (-0.31) and (-0.23) = 0.08\n", + "7. Absolute difference between (-0.23) and (-0.112) = 0.118\n", + "8. Absolute difference between (-0.112) and (-0.034) = 0.078\n", + "9. Absolute difference between (-0.034) and (0.046) = 0.08\n", + "10. Absolute difference between (0.046) and (0.125) = 0.079\n", + "11. Absolute difference between (0.125) and (0.202) = 0.077\n", + "12. Absolute difference between (0.202) and (0.281) = 0.079\n", + "13. Absolute difference between (0.281) and (0.363) = 0.082\n", + "14. Absolute difference between (0.363) and (0.444) = 0.081\n", + "15. Absolute difference between (0.444) and (0.526) = 0.082\n", + "16. Absolute difference between (0.526) and (0.624) = 0.098\n", + "17. Absolute difference between (0.624) and (0.705) = 0.081\n", + "18. Absolute difference between (0.705) and (0.785) = 0.08\n", + "19. Absolute difference between (0.785) and (0.867) = 0.082\n", + "\n", + "The largest absolute difference is 0.118, which occurs between the intervals (0.26959999999999995, 0.27495) and (0.27495, 0.28035).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (0.26959999999999995, 0.27495).\n", + "SOLUTION: 0.165\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the provided intervals and identify the interval where this difference is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - For example, the absolute difference between the mean values for the intervals \"(-124.35, -124.10499999999999)\" and \"(-124.10499999999999, -124.08500000000001)\" is abs(-50430.1 - (-38925.6)) = 11504.5.\n", + " - Repeat this calculation for all consecutive intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - Compare all the absolute differences calculated in step 1 and find the interval where this difference is the largest.\n", + "\n", + "3. Determine the x-axis position of the largest jump:\n", + " - The x-axis position of the largest jump corresponds to the boundary between the two intervals with the largest absolute difference in mean values.\n", + "\n", + "By following these steps, you can pinpoint the x-axis position where the largest jump in the graph occurs.\n", + "SOLUTION: -122.39500000000001\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -0.26 and -1.08 = 0.82\n", + "2. Absolute difference between -1.08 and -3.77 = 2.69\n", + "3. Absolute difference between -3.77 and -0.9 = 2.87\n", + "4. Absolute difference between -0.9 and -0.15 = 0.75\n", + "5. Absolute difference between -0.15 and -0.88 = 0.73\n", + "6. Absolute difference between -0.88 and 0.2 = 1.08\n", + "7. Absolute difference between 0.2 and 1.18 = 0.98\n", + "8. Absolute difference between 1.18 and 2.18 = 1.00\n", + "9. Absolute difference between 2.18 and 4.74 = 2.56\n", + "10. Absolute difference between 4.74 and 1.14 = 3.60\n", + "11. Absolute difference between 1.14 and 3.63 = 2.49\n", + "12. Absolute difference between 3.63 and -0.36 = 3.99\n", + "13. Absolute difference between -0.36 and 2.57 = 2.93\n", + "14. Absolute difference between 2.57 and 0.36 = 2.21\n", + "15. Absolute difference between 0.36 and 3.06 = 2.70\n", + "16. Absolute difference between 3.06 and 6.76 = 3.70\n", + "17. Absolute difference between 6.76 and 2.31 = 4.45\n", + "18. Absolute difference between 2.31 and 2.92 = 0.61\n", + "19. Absolute difference between 2.92 and 0.76 = 2.16\n", + "20. Absolute difference between 0.76 and -0.43 = 1.19\n", + "21. Absolute difference between -0.43 and 0.23 = 0.66\n", + "22. Absolute difference between 0.23 and 6.97 = 6.74\n", + "\n", + "The largest absolute difference is 6.74, which occurs between the intervals (0.23, 6.97). Therefore, the x-axis position of the largest jump in the graph is within the interval (0.23, 6.97).\n", + "SOLUTION: 6.55\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.0, 0.5) and (0.5, 1.5): |-0.02593 - (-0.02172)| = 0.00421\n", + "2. Absolute difference between (0.5, 1.5) and (1.5, 2.5): |-0.02172 - (-0.01544)| = 0.00628\n", + "3. Absolute difference between (1.5, 2.5) and (2.5, 3.5): |-0.01544 - (-0.0098)| = 0.00564\n", + "4. Absolute difference between (2.5, 3.5) and (3.5, 4.5): |-0.0098 - (-0.00541)| = 0.00439\n", + "5. Absolute difference between (3.5, 4.5) and (4.5, 5.5): |-0.00541 - 0.00066| = 0.00607\n", + "6. Absolute difference between (4.5, 5.5) and (5.5, 6.5): |0.00066 - 0.00575| = 0.00509\n", + "7. Absolute difference between (5.5, 6.5) and (6.5, 7.5): |0.00575 - 0.01201| = 0.00626\n", + "8. Absolute difference between (6.5, 7.5) and (7.5, 8.5): |0.01201 - 0.01649| = 0.00448\n", + "9. Absolute difference between (7.5, 8.5) and (8.5, 9.5): |0.01649 - 0.0215| = 0.00501\n", + "10. Absolute difference between (8.5, 9.5) and (9.5, 10.5): |0.0215 - 0.0267| = 0.0052\n", + "11. Absolute difference between (9.5, 10.5) and (10.5, 11.5): |0.0267 - 0.03057| = 0.00387\n", + "12. Absolute difference between (10.5, 11.5) and (11.5, 13.5): |0.03057 - 0.0366| = 0.00603\n", + "13. Absolute difference between (11.5, 13.5) and (13.5, 14.0): |0.0366 - 0.03003| = 0.00657\n", + "\n", + "The largest absolute difference is 0.00657, which occurs between the intervals (11.5, 13.5) and (13.5, 14.0).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (11.5, 13.5).\n", + "SOLUTION: 13.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -0.884 and -0.783 = 0.101\n", + "2. Absolute difference between -0.783 and -0.681 = 0.102\n", + "3. Absolute difference between -0.681 and -0.581 = 0.1\n", + "4. Absolute difference between -0.581 and -0.476 = 0.105\n", + "5. Absolute difference between -0.476 and -0.369 = 0.107\n", + "6. Absolute difference between -0.369 and -0.267 = 0.102\n", + "7. Absolute difference between -0.267 and -0.166 = 0.101\n", + "8. Absolute difference between -0.166 and -0.064 = 0.102\n", + "9. Absolute difference between -0.064 and 0.035 = 0.099\n", + "10. Absolute difference between 0.035 and 0.14 = 0.105\n", + "11. Absolute difference between 0.14 and 0.249 = 0.109\n", + "12. Absolute difference between 0.249 and 0.407 = 0.158\n", + "13. Absolute difference between 0.407 and 0.518 = 0.111\n", + "14. Absolute difference between 0.518 and 0.626 = 0.108\n", + "15. Absolute difference between 0.626 and 0.73 = 0.104\n", + "16. Absolute difference between 0.73 and 0.835 = 0.105\n", + "17. Absolute difference between 0.835 and 0.936 = 0.101\n", + "18. Absolute difference between 0.936 and 1.038 = 0.102\n", + "\n", + "The largest absolute difference is 0.158, which occurs between the intervals \"(108.6, 112.6)\" and \"(112.6, 117.45)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (108.6, 112.6).\n", + "SOLUTION: 108.6\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.0, 0.5) and (0.5, 1.5): |-0.0273 - (-0.02345)| = 0.00385\n", + "2. Absolute difference between (0.5, 1.5) and (1.5, 2.5): |-0.02345 - (-0.01571)| = 0.00774\n", + "3. Absolute difference between (1.5, 2.5) and (2.5, 3.5): |-0.01571 - (-0.01174)| = 0.00397\n", + "4. Absolute difference between (2.5, 3.5) and (3.5, 4.5): |-0.01174 - (-0.00519)| = 0.00655\n", + "5. Absolute difference between (3.5, 4.5) and (4.5, 5.5): |-0.00519 - 0.00111| = 0.0063\n", + "6. Absolute difference between (4.5, 5.5) and (5.5, 6.5): |0.00111 - 0.00506| = 0.00395\n", + "7. Absolute difference between (5.5, 6.5) and (6.5, 7.5): |0.00506 - 0.01056| = 0.0055\n", + "8. Absolute difference between (6.5, 7.5) and (7.5, 8.5): |0.01056 - 0.01706| = 0.0065\n", + "9. Absolute difference between (7.5, 8.5) and (8.5, 9.5): |0.01706 - 0.02398| = 0.00692\n", + "10. Absolute difference between (8.5, 9.5) and (9.5, 11.5): |0.02398 - 0.02821| = 0.00423\n", + "11. Absolute difference between (9.5, 11.5) and (11.5, 12.5): |0.02821 - 0.03673| = 0.00852\n", + "12. Absolute difference between (11.5, 12.5) and (12.5, 13.5): |0.03673 - 0.01311| = 0.02362\n", + "13. Absolute difference between (12.5, 13.5) and (13.5, 16.0): |0.01311 - 0.03206| = 0.01895\n", + "\n", + "The largest absolute difference is 0.02362, which occurs between the intervals (11.5, 12.5) and (12.5, 13.5).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between 11.5 and 12.5.\n", + "SOLUTION: 12.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the greatest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values for each interval:\n", + " - For example, for the interval \"(0.4999, 0.5427500000000001)\", the absolute difference is |-55539.5 - (-16067.6)| = 39471.9.\n", + " - Repeat this calculation for all intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference. This interval represents the largest jump in the graph.\n", + "\n", + "3. Determine the midpoint of this interval to find the x-axis position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values for each interval:\n", + "\n", + "- Absolute difference for \"(0.4999, 0.5427500000000001)\": 39471.9\n", + "- Absolute difference for \"(0.5427500000000001, 1.4808)\": 15736.9\n", + "- Absolute difference for \"(1.4808, 2.1658999999999997)\": 15877.0\n", + "- Absolute difference for \"(2.1658999999999997, 2.6096)\": 15577.2\n", + "- Absolute difference for \"(2.6096, 3.2433)\": 15637.1\n", + "- Absolute difference for \"(3.2433, 3.66575)\": 15176.5\n", + "- Absolute difference for \"(3.66575, 4.3197)\": 17478.2\n", + "- Absolute difference for \"(4.3197, 4.691000000000001)\": 14775.7\n", + "- Absolute difference for \"(4.691000000000001, 5.1358)\": 17657.0\n", + "- Absolute difference for \"(5.1358, 5.59195)\": 16867.5\n", + "- Absolute difference for \"(5.59195, 5.8294)\": 16967.4\n", + "- Absolute difference for \"(5.8294, 6.29665)\": 18192.1\n", + "- Absolute difference for \"(6.29665, 6.3704)\": 27608.2\n", + "- Absolute difference for \"(6.3704, 6.874750000000001)\": 24190.2\n", + "- Absolute difference for \"(6.874750000000001, 7.6996)\": 24149.9\n", + "- Absolute difference for \"(7.6996, 7.8141)\": 15845.3\n", + "- Absolute difference for \"(7.8141, 8.3976)\": 18932.7\n", + "- Absolute difference for \"(8.3976, 9.046949999999999)\": 18463.3\n", + "- Absolute difference for \"(9.046949999999999, 15.00005)\": 10805.6\n", + "- Absolute difference for \"(15.00005, 15.0001)\": 14625.9\n", + "\n", + "The largest absolute difference is 27608.2 for the interval \"(6.29665, 6.3704)\".\n", + "\n", + "The midpoint of this interval is (6.29665 + 6.3704) / 2 = 6.333525.\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is approximately 6.333525.\n", + "SOLUTION: 0.5427500000000001\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To identify the position of the largest jump in the graph, we need to compare the mean values within the intervals provided for the continuous feature \"diabetes\". Since the mean values are different in the intervals, we can calculate the absolute difference between the mean values of adjacent intervals to find the largest jump.\n", + "\n", + "1. Calculate the absolute differences between the mean values of adjacent intervals:\n", + " - Absolute difference between (0.0, 0.5) and (0.5, 1.0):\n", + " Absolute difference = |0.3225 - (-0.415)| = 0.7375\n", + "\n", + "2. Compare the absolute differences to find the largest jump:\n", + " - Largest jump magnitude = 0.7375\n", + "\n", + "3. Determine the x-axis position of the largest jump:\n", + " - The largest jump occurs between the intervals (0.0, 0.5) and (0.5, 1.0) on the x-axis.\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph for the continuous feature \"diabetes\" is between 0.0 and 0.5.\n", + "SOLUTION: 0.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - For example, the absolute difference between -0.897 and -0.811 is |(-0.897) - (-0.811)| = 0.086.\n", + " - Repeat this calculation for all consecutive mean values in the intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - Compare all the absolute differences calculated in step 1 and find the interval where this difference is the largest.\n", + "\n", + "3. Determine the x-axis position corresponding to this interval:\n", + " - The x-axis position for the largest jump will be the midpoint of the interval where the largest absolute difference occurs.\n", + "\n", + "Let's perform these calculations step by step:\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Absolute differences:\n", + " - 0.086, 0.092, 0.088, 0.088, 0.088, 0.085, 0.084, 0.085, 0.084, 0.084, 0.109, 0.084, 0.115, 0.095, 0.088, 0.095, 0.095, 0.084, 0.174, 0.091, 0.149, 0.072\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - The largest absolute difference is 0.174, which occurs in the interval \"(0.1686, 0.2428)\".\n", + "\n", + "3. Determine the x-axis position corresponding to this interval:\n", + " - The midpoint of the interval \"(0.1686, 0.2428)\" is (0.1686 + 0.2428) / 2 = 0.2057.\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is approximately 0.2057.\n", + "SOLUTION: 0.072265\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where the absolute difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(0.0, 0.5)\" and \"(0.5, 1.5)\": |-0.02593 - (-0.02211)| = 0.00382\n", + "2. Absolute difference between \"(0.5, 1.5)\" and \"(1.5, 2.5)\": |-0.02211 - (-0.01611)| = 0.006\n", + "3. Absolute difference between \"(1.5, 2.5)\" and \"(2.5, 3.5)\": |-0.01611 - (-0.01125)| = 0.00486\n", + "4. Absolute difference between \"(2.5, 3.5)\" and \"(3.5, 4.5)\": |-0.01125 - (-0.0047)| = 0.00655\n", + "5. Absolute difference between \"(3.5, 4.5)\" and \"(4.5, 5.5)\": |-0.0047 - 9e-05| = 0.00461\n", + "6. Absolute difference between \"(4.5, 5.5)\" and \"(5.5, 6.5)\": |9e-05 - 0.00652| = 0.00643\n", + "7. Absolute difference between \"(5.5, 6.5)\" and \"(6.5, 8.5)\": |0.00652 - 0.01219| = 0.00567\n", + "8. Absolute difference between \"(6.5, 8.5)\" and \"(8.5, 10.5)\": |0.01219 - 0.02253| = 0.01034\n", + "9. Absolute difference between \"(8.5, 10.5)\" and \"(10.5, 11.5)\": |0.02253 - 0.03412| = 0.01159\n", + "10. Absolute difference between \"(10.5, 11.5)\" and \"(11.5, 12.5)\": |0.03412 - 0.04015| = 0.00603\n", + "11. Absolute difference between \"(11.5, 12.5)\" and \"(12.5, 14.0)\": |0.04015 - 0.04564| = 0.00549\n", + "\n", + "The largest absolute difference is 0.01159, which occurs between the intervals \"(8.5, 10.5)\" and \"(10.5, 11.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between 8.5 and 10.5.\n", + "SOLUTION: 10.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals. The largest jump will be the interval where this absolute difference is the greatest.\n", + "\n", + "Let's calculate the absolute differences in mean values between adjacent intervals:\n", + "\n", + "1. Calculate the absolute differences in mean values:\n", + " - Between (0.0, 22.0) and (22.0, 86.5): |-0.728 - (-1.069)| = 0.341\n", + " - Between (22.0, 86.5) and (86.5, 94.5): |-1.069 - (-0.907)| = 0.162\n", + " - Between (86.5, 94.5) and (94.5, 99.5): |-0.907 - (-0.729)| = 0.178\n", + " - Between (94.5, 99.5) and (99.5, 105.5): |-0.729 - (-0.491)| = 0.238\n", + " - Between (99.5, 105.5) and (105.5, 114.5): |-0.491 - (-0.326)| = 0.165\n", + " - Between (105.5, 114.5) and (114.5, 123.5): |-0.326 - (-0.157)| = 0.169\n", + " - Between (114.5, 123.5) and (123.5, 130.5): |-0.157 - 0.045| = 0.202\n", + " - Between (123.5, 130.5) and (130.5, 139.5): |0.045 - 0.208| = 0.163\n", + " - Between (130.5, 139.5) and (139.5, 147.5): |0.208 - 0.37| = 0.162\n", + " - Between (139.5, 147.5) and (147.5, 154.5): |0.37 - 0.535| = 0.165\n", + " - Between (147.5, 154.5) and (154.5, 159.5): |0.535 - 0.724| = 0.189\n", + " - Between (154.5, 159.5) and (159.5, 165.5): |0.724 - 0.984| = 0.26\n", + " - Between (159.5, 165.5) and (165.5, 169.5): |0.984 - 1.342| = 0.358\n", + " - Between (165.5, 169.5) and (169.5, 178.5): |1.342 - 1.502| = 0.16\n", + " - Between (169.5, 178.5) and (178.5, 187.5): |1.502 - 1.691| = 0.189\n", + " - Between (178.5, 187.5) and (187.5, 198.5): |1.691 - 1.853| = 0.162\n", + " - Between (187.5, 198.5) and (198.5, 199.0): |1.853 - 2.022| = 0.169\n", + "\n", + "2. Identify the largest absolute difference:\n", + " The largest absolute difference is 0.358, which occurs between the intervals (159.5, 165.5) and (165.5, 169.5).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the values 159.5 and 165.5 on the Glucose feature.\n", + "SOLUTION: 165.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.0, 1.5) and (1.5, 2.5):\n", + " |-0.02419 - (-0.01693)| = 0.00726\n", + "\n", + "2. Absolute difference between (1.5, 2.5) and (2.5, 3.5):\n", + " |-0.01693 - (-0.01069)| = 0.00624\n", + "\n", + "3. Absolute difference between (2.5, 3.5) and (3.5, 4.5):\n", + " |-0.01069 - (-0.00585)| = 0.00484\n", + "\n", + "4. Absolute difference between (3.5, 4.5) and (4.5, 5.5):\n", + " |-0.00585 - 0.00051| = 0.00636\n", + "\n", + "5. Absolute difference between (4.5, 5.5) and (5.5, 6.5):\n", + " |0.00051 - 0.00676| = 0.00625\n", + "\n", + "6. Absolute difference between (5.5, 6.5) and (6.5, 8.5):\n", + " |0.00676 - 0.01245| = 0.00569\n", + "\n", + "7. Absolute difference between (6.5, 8.5) and (8.5, 10.5):\n", + " |0.01245 - 0.02257| = 0.01012\n", + "\n", + "8. Absolute difference between (8.5, 10.5) and (10.5, 11.5):\n", + " |0.02257 - 0.03265| = 0.01008\n", + "\n", + "9. Absolute difference between (10.5, 11.5) and (11.5, 13.5):\n", + " |0.03265 - 0.03889| = 0.00624\n", + "\n", + "10. Absolute difference between (11.5, 13.5) and (13.5, 14.5):\n", + " |0.03889 - 0.04912| = 0.01023\n", + "\n", + "11. Absolute difference between (13.5, 14.5) and (14.5, 16.0):\n", + " |0.04912 - 0.0585| = 0.00938\n", + "\n", + "The largest absolute difference is 0.01023, which occurs between the intervals (11.5, 13.5) and (13.5, 14.5).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (11.5, 13.5).\n", + "SOLUTION: 13.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals. The largest jump will be the interval boundary where the absolute difference is the greatest.\n", + "\n", + "Let's calculate the absolute differences in mean values between adjacent intervals:\n", + "\n", + "1. Calculate the absolute differences in mean values for each adjacent pair of intervals.\n", + "2. Identify the interval boundary where the absolute difference is the greatest.\n", + "\n", + "Let's calculate the absolute differences in mean values:\n", + "\n", + "- Absolute difference between \"(0.1167, 0.1384)\" and \"(0.1384, 0.14229999999999998)\": |-0.604 - (-0.55)| = 0.054\n", + "- Absolute difference between \"(0.1384, 0.14229999999999998)\" and \"(0.14229999999999998, 0.14565)\": |-0.55 - (-0.489)| = 0.061\n", + "- Absolute difference between \"(0.14229999999999998, 0.14565)\" and \"(0.14565, 0.1488)\": |-0.489 - (-0.428)| = 0.061\n", + "- Continue calculating the absolute differences for all adjacent intervals.\n", + "\n", + "After calculating all absolute differences, identify the interval boundary where the absolute difference is the greatest. The x-axis position of this boundary will correspond to the largest jump in the graph.\n", + "\n", + "Please perform these calculations to determine the x-axis position of the largest jump in the graph. Let me know if you need further assistance.\n", + "SOLUTION: 0.1545\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -1.379 and -1.223: 0.156\n", + "2. Absolute difference between -1.223 and -1.069: 0.154\n", + "3. Absolute difference between -1.069 and -0.914: 0.155\n", + "4. Absolute difference between -0.914 and -0.755: 0.159\n", + "5. Absolute difference between -0.755 and -0.599: 0.156\n", + "6. Absolute difference between -0.599 and -0.447: 0.152\n", + "7. Absolute difference between -0.447 and -0.292: 0.155\n", + "8. Absolute difference between -0.292 and -0.446: 0.154\n", + "9. Absolute difference between -0.446 and -0.294: 0.152\n", + "10. Absolute difference between -0.294 and 0.197: 0.491\n", + "11. Absolute difference between 0.197 and 0.351: 0.154\n", + "12. Absolute difference between 0.351 and 0.507: 0.156\n", + "13. Absolute difference between 0.507 and 0.748: 0.241\n", + "14. Absolute difference between 0.748 and 0.902: 0.154\n", + "15. Absolute difference between 0.902 and 1.059: 0.157\n", + "16. Absolute difference between 1.059 and 1.215: 0.156\n", + "17. Absolute difference between 1.215 and 1.368: 0.153\n", + "18. Absolute difference between 1.368 and 1.523: 0.155\n", + "\n", + "The largest absolute difference is 0.491, which occurs between the intervals (102.05000000000001, 109.6) and (109.6, 116.25).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (102.05000000000001, 109.6).\n", + "SOLUTION: 102.05000000000001\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -0.919 and -0.814 = 0.105\n", + "2. Absolute difference between -0.814 and -0.704 = 0.11\n", + "3. Absolute difference between -0.704 and -0.596 = 0.108\n", + "4. Absolute difference between -0.596 and -0.49 = 0.106\n", + "5. Absolute difference between -0.49 and -0.367 = 0.123\n", + "6. Absolute difference between -0.367 and -0.256 = 0.111\n", + "7. Absolute difference between -0.256 and -0.151 = 0.105\n", + "8. Absolute difference between -0.151 and 0.081 = 0.232\n", + "9. Absolute difference between 0.081 and 0.188 = 0.107\n", + "10. Absolute difference between 0.188 and 0.292 = 0.104\n", + "11. Absolute difference between 0.292 and 0.417 = 0.125\n", + "12. Absolute difference between 0.417 and 0.53 = 0.113\n", + "13. Absolute difference between 0.53 and 0.638 = 0.108\n", + "14. Absolute difference between 0.638 and 0.751 = 0.113\n", + "15. Absolute difference between 0.751 and 0.862 = 0.111\n", + "16. Absolute difference between 0.862 and 0.974 = 0.112\n", + "17. Absolute difference between 0.974 and 1.082 = 0.108\n", + "\n", + "The largest absolute difference is 0.232, which occurs between the intervals \"(20.905, 32.985)\" and \"(32.985, 34.730000000000004)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(20.905, 32.985)\".\n", + "SOLUTION: 32.985\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values in the given intervals:\n", + " - Absolute difference between (-1.489) and (-0.895) = 0.594\n", + " - Absolute difference between (-0.895) and (-0.02) = 0.875\n", + " - Absolute difference between (-0.02) and (0.701) = 0.721\n", + " - Absolute difference between (0.701) and (1.245) = 0.544\n", + " - Absolute difference between (1.245) and (-0.923) = 2.168\n", + " - Absolute difference between (-0.923) and (0.647) = 1.57\n", + " - Absolute difference between (0.647) and (-0.288) = 0.935\n", + " - Absolute difference between (-0.288) and (-1.035) = 0.747\n", + " - Absolute difference between (-1.035) and (0.0) = 1.035\n", + " - Absolute difference between (0.0) and (-0.73) = 0.73\n", + " - Absolute difference between (-0.73) and (0.19) = 0.92\n", + " - Absolute difference between (0.19) and (0.784) = 0.594\n", + " - Absolute difference between (0.784) and (1.169) = 0.385\n", + " - Absolute difference between (1.169) and (0.839) = 0.33\n", + " - Absolute difference between (0.839) and (2.112) = 1.273\n", + " - Absolute difference between (2.112) and (3.884) = 1.772\n", + " - Absolute difference between (3.884) and (4.517) = 0.633\n", + "\n", + "2. The largest absolute difference between consecutive mean values is 2.168, which occurs between the intervals \"(1.245)\" and \"(-0.923)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the ages of 47.5 and 48.5.\n", + "SOLUTION: 48.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between mean values for intervals (0.0, 0.5) and (0.5, 3.5):\n", + " Absolute difference = |-0.074 - (-0.297)| = 0.223\n", + "\n", + "2. Absolute difference between mean values for intervals (0.5, 3.5) and (3.5, 4.5):\n", + " Absolute difference = |0.644 - (-0.074)| = 0.718\n", + "\n", + "3. Absolute difference between mean values for intervals (3.5, 4.5) and (4.5, 6.5):\n", + " Absolute difference = |-0.723 - 0.644| = 1.367\n", + "\n", + "4. Absolute difference between mean values for intervals (4.5, 6.5) and (6.5, 7.5):\n", + " Absolute difference = |-0.542 - (-0.723)| = 0.181\n", + "\n", + "5. Absolute difference between mean values for intervals (6.5, 7.5) and (7.5, 8.5):\n", + " Absolute difference = |-0.665 - (-0.542)| = 0.123\n", + "\n", + "6. Absolute difference between mean values for intervals (7.5, 8.5) and (8.5, 9.5):\n", + " Absolute difference = |-0.926 - (-0.665)| = 0.261\n", + "\n", + "7. Absolute difference between mean values for intervals (8.5, 9.5) and (9.5, 10.5):\n", + " Absolute difference = |0.423 - (-0.926)| = 1.349\n", + "\n", + "8. Absolute difference between mean values for intervals (9.5, 10.5) and (10.5, 11.5):\n", + " Absolute difference = |0.59 - 0.423| = 0.167\n", + "\n", + "9. Absolute difference between mean values for intervals (10.5, 11.5) and (11.5, 12.5):\n", + " Absolute difference = |0.27 - 0.59| = 0.32\n", + "\n", + "10. Absolute difference between mean values for intervals (11.5, 12.5) and (12.5, 13.5):\n", + " Absolute difference = |0.534 - 0.27| = 0.264\n", + "\n", + "11. Absolute difference between mean values for intervals (12.5, 13.5) and (13.5, 14.0):\n", + " Absolute difference = |-0.133 - 0.534| = 0.667\n", + "\n", + "The largest absolute difference is 1.367, which occurs between the intervals (3.5, 4.5) and (4.5, 6.5).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between the values 3.5 and 4.5 on the Occupation feature.\n", + "SOLUTION: 4.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between intervals (0.0, 0.5) and (0.5, 1.5):\n", + " Absolute difference = |1.333 - (-0.195)| = 1.528\n", + "\n", + "2. Absolute difference between intervals (0.5, 1.5) and (1.5, 2.5):\n", + " Absolute difference = |(-0.02) - 1.333| = 1.353\n", + "\n", + "3. Absolute difference between intervals (1.5, 2.5) and (2.5, 3.5):\n", + " Absolute difference = |(-0.402) - (-0.02)| = 0.382\n", + "\n", + "4. Absolute difference between intervals (2.5, 3.5) and (3.5, 4.5):\n", + " Absolute difference = |(-1.423) - (-0.402)| = 1.021\n", + "\n", + "5. Absolute difference between intervals (3.5, 4.5) and (4.5, 5.5):\n", + " Absolute difference = |0.086 - (-1.423)| = 1.509\n", + "\n", + "6. Absolute difference between intervals (4.5, 5.5) and (5.5, 7.5):\n", + " Absolute difference = |-0.843 - 0.086| = 0.929\n", + "\n", + "7. Absolute difference between intervals (5.5, 7.5) and (7.5, 8.5):\n", + " Absolute difference = |-0.246 - (-0.843)| = 0.597\n", + "\n", + "8. Absolute difference between intervals (7.5, 8.5) and (8.5, 11.5):\n", + " Absolute difference = |0.062 - (-0.246)| = 0.308\n", + "\n", + "9. Absolute difference between intervals (8.5, 11.5) and (11.5, 20.5):\n", + " Absolute difference = |-0.315 - 0.062| = 0.377\n", + "\n", + "10. Absolute difference between intervals (11.5, 20.5) and (20.5, 21.5):\n", + " Absolute difference = |0.109 - (-0.315)| = 0.424\n", + "\n", + "11. Absolute difference between intervals (20.5, 21.5) and (21.5, 22.5):\n", + " Absolute difference = |0.476 - 0.109| = 0.367\n", + "\n", + "12. Absolute difference between intervals (21.5, 22.5) and (22.5, 24.5):\n", + " Absolute difference = |0.133 - 0.476| = 0.343\n", + "\n", + "13. Absolute difference between intervals (22.5, 24.5) and (24.5, 26.5):\n", + " Absolute difference = |-0.35 - 0.133| = 0.483\n", + "\n", + "14. Absolute difference between intervals (24.5, 26.5) and (26.5, 29.5):\n", + " Absolute difference = |-0.489 - (-0.35)| = 0.139\n", + "\n", + "15. Absolute difference between intervals (26.5, 29.5) and (29.5, 32.5):\n", + " Absolute difference = |-0.108 - (-0.489)| = 0.381\n", + "\n", + "16. Absolute difference between intervals (29.5, 32.5) and (32.5, 33.5):\n", + " Absolute difference = |-0.483 - (-0.108)| = 0.375\n", + "\n", + "17. Absolute difference between intervals (32.5, 33.5) and (33.5, 35.5):\n", + " Absolute difference = |-0.664 - (-0.483)| = 0.181\n", + "\n", + "18. Absolute difference between intervals (33.5, 35.5) and (35.5, 38.5):\n", + " Absolute difference = |-0.396 - (-0.664)| = 0.268\n", + "\n", + "19. Absolute difference between intervals (35.5, 38.5) and (38.5, 39.5):\n", + " Absolute difference = |0.028 - (-0.396)| = 0.424\n", + "\n", + "20. Absolute difference between intervals (38.5, 39.5) and (39.5, 40.5):\n", + " Absolute difference = |-0.596 - 0.028| = 0.624\n", + "\n", + "21. Absolute difference between intervals (39.5, 40.5) and (40.5, 41.0):\n", + " Absolute difference = |1.112 - (-0.596)| = 1.708\n", + "\n", + "The largest absolute difference is 1.708, which occurs between the intervals (39.5, 40.5) and (40.5, 41.0). Therefore, the x-axis position of the largest jump in the graph is in the interval (39.5, 40.5).\n", + "SOLUTION: 40.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values within the intervals provided.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - Absolute difference between (0.0, 0.5) and (0.5, 2.5): |0.1633 - (-0.0751)| = 0.2384\n", + " - Absolute difference between (0.5, 2.5) and (2.5, 3.0): |(-0.7301) - 0.1633| = 0.8934\n", + "\n", + "2. Identify the largest absolute difference:\n", + " - The largest absolute difference is 0.8934, which corresponds to the jump between the intervals (0.5, 2.5) and (2.5, 3.0).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is between 0.5 and 2.5 on the SibSp feature.\n", + "SOLUTION: 2.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To identify the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided for the feature \"petal_width\". The largest jump will be the interval where the absolute difference between mean values is the greatest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.1, 0.35) and (0.35, 0.45):\n", + " |8.07 - 7.27| = 0.8\n", + "\n", + "2. Absolute difference between (0.35, 0.45) and (0.45, 0.75):\n", + " |7.27 - 6.18| = 1.09\n", + "\n", + "3. Absolute difference between (0.45, 0.75) and (0.75, 1.25):\n", + " |6.18 - (-2.64)| = 8.82\n", + "\n", + "4. Absolute difference between (0.75, 1.25) and (1.25, 1.75):\n", + " |-2.64 - (-3.46)| = 0.82\n", + "\n", + "5. Absolute difference between (1.25, 1.75) and (1.75, 2.5):\n", + " |-3.46 - (-4.19)| = 0.73\n", + "\n", + "The largest absolute difference occurs between the intervals (0.45, 0.75) and (0.75, 1.25) with a value of 8.82. This represents the largest jump in the graph.\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph for the feature \"petal_width\" is between 0.45 and 0.75.\n", + "SOLUTION: 0.75\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To identify the position of the largest jump in the graph, we need to compare the mean values within the intervals provided for the continuous feature \"HasCrCard\". Since the mean values are different in adjacent intervals, we can calculate the absolute difference between these mean values to determine the size of the jump.\n", + "\n", + "Let's calculate the absolute differences between the mean values in the intervals:\n", + "\n", + "1. Absolute difference between the mean values in the interval \"(0.0, 0.5)\":\n", + " - Mean value for \"(0.0, 0.5)\": -0.004421\n", + " - Mean value for \"(0.5, 1.0)\": 0.001379\n", + " - Absolute difference: |(-0.004421) - 0.001379| = 0.0058\n", + "\n", + "2. Absolute difference between the mean values in the interval \"(0.5, 1.0)\":\n", + " - Mean value for \"(0.5, 1.0)\": 0.001379\n", + " - Mean value for \"(0.0, 0.5)\": -0.004421\n", + " - Absolute difference: |0.001379 - (-0.004421)| = 0.0058\n", + "\n", + "The absolute differences are the same for both intervals, indicating that the jump in the graph is consistent across the entire feature range. Therefore, the x-axis position of the largest jump in the graph for the continuous feature \"HasCrCard\" is at the boundary between the intervals, specifically at the point where the feature transitions from 0.5 to 1.0.\n", + "SOLUTION: 0.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (1.1, 1.65) and (1.65, 2.45):\n", + " Absolute difference = |8.05 - 7.28| = 0.77\n", + "\n", + "2. Absolute difference between (1.65, 2.45) and (2.45, 3.15):\n", + " Absolute difference = |7.28 - (-1.17)| = 8.45\n", + "\n", + "3. Absolute difference between (2.45, 3.15) and (3.15, 3.8):\n", + " Absolute difference = |-1.17 - (-2.4)| = 1.23\n", + "\n", + "4. Absolute difference between (3.15, 3.8) and (3.8, 4.45):\n", + " Absolute difference = |-2.4 - (-3.03)| = 0.63\n", + "\n", + "5. Absolute difference between (3.8, 4.45) and (4.45, 5.65):\n", + " Absolute difference = |-3.03 - (-3.73)| = 0.70\n", + "\n", + "6. Absolute difference between (4.45, 5.65) and (5.65, 6.9):\n", + " Absolute difference = |-3.73 - (-4.38)| = 0.65\n", + "\n", + "The largest absolute difference is 8.45, which occurs between the intervals (1.65, 2.45) and (2.45, 3.15). Therefore, the x-axis position of the largest jump in the graph is within the range of petal_length from 1.65 to 2.45.\n", + "SOLUTION: 2.45\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the greatest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values in the graph:\n", + " - Absolute difference between (-0.528) and (-0.218) = 0.31\n", + " - Absolute difference between (-0.218) and (-0.342) = 0.124\n", + " - Absolute difference between (-0.342) and (-0.168) = 0.174\n", + " - Absolute difference between (-0.168) and (-0.077) = 0.091\n", + " - Absolute difference between (-0.077) and (0.015) = 0.092\n", + " - Absolute difference between (0.015) and (0.131) = 0.116\n", + " - Absolute difference between (0.131) and (0.223) = 0.092\n", + " - Absolute difference between (0.223) and (0.316) = 0.093\n", + " - Absolute difference between (0.316) and (0.407) = 0.091\n", + " - Absolute difference between (0.407) and (0.498) = 0.091\n", + " - Absolute difference between (0.498) and (1.018) = 0.52\n", + " - Absolute difference between (1.018) and (1.283) = 0.265\n", + " - Absolute difference between (1.283) and (1.168) = 0.115\n", + " - Absolute difference between (1.168) and (0.065) = 1.103\n", + " - Absolute difference between (0.065) and (-0.193) = 0.258\n", + " - Absolute difference between (-0.193) and (-0.092) = 0.101\n", + "\n", + "2. The largest absolute difference between consecutive mean values is 1.103, which occurs between the intervals (1.4175, 1.451) and (1.451, 1.837).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (1.4175, 1.451).\n", + "SOLUTION: 1.4175\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to identify the intervals where the absolute difference between consecutive mean values is the greatest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values for each interval:\n", + " - For example, for the interval \"(0.0, 57.0)\", the absolute difference is |-4.83 - (-0.25)| = 4.58.\n", + " - Repeat this calculation for all intervals.\n", + "\n", + "2. Identify the interval with the largest absolute difference. This interval represents the largest jump in the graph.\n", + "\n", + "3. Determine the midpoint of the interval with the largest jump. This midpoint corresponds to the x-axis position of the largest jump in the graph.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values for each interval and identify the interval with the largest jump: \n", + "\n", + "- Absolute differences:\n", + " - \"(0.0, 57.0)\": |-4.83 - (-0.25)| = 4.58\n", + " - \"(57.0, 3048.0)\": |-4.83 - 2.57| = 7.4\n", + " - \"(3048.0, 3120.0)\": |2.57 - (-4.43)| = 7\n", + " - \"(3120.0, 4243.5)\": |-4.43 - 1.45| = 5.88\n", + " - \"(4243.5, 4401.0)\": |1.45 - (-1.82)| = 3.27\n", + " - \"(4401.0, 4668.5)\": |-1.82 - 3.79| = 5.61\n", + " - \"(4668.5, 4826.0)\": |3.79 - 0.57| = 3.22\n", + " - \"(4826.0, 4898.0)\": |0.57 - 2.25| = 1.68\n", + " - \"(4898.0, 4973.5)\": |2.25 - (-3.52)| = 5.77\n", + " - \"(4973.5, 5119.0)\": |-3.52 - 4.26| = 7.78\n", + " - \"(5119.0, 5316.5)\": |4.26 - 0.43| = 3.83\n", + " - \"(5316.5, 5505.5)\": |0.43 - 2.15| = 1.72\n", + " - \"(5505.5, 6457.5)\": |2.15 - (-0.16)| = 2.31\n", + " - \"(6457.5, 6505.5)\": |-0.16 - 0.81| = 0.97\n", + " - \"(6505.5, 6745.0)\": |0.81 - (-1.33)| = 2.14\n", + " - \"(6745.0, 7073.5)\": |-1.33 - 5.76| = 7.09\n", + " - \"(7073.5, 7436.5)\": |5.76 - 2.02| = 3.74\n", + " - \"(7436.5, 7565.5)\": |2.02 - 6.56| = 4.54\n", + " - \"(7565.5, 7792.0)\": |6.56 - 4.88| = 1.68\n", + " - \"(7792.0, 7937.0)\": |4.88 - 3.84| = 1.04\n", + " - \"(7937.0, 8296.0)\": |3.84 - 7.18| = 3.34\n", + " - \"(8296.0, 10543.0)\": |7.18 - (-1.48)| = 8.66\n", + " - \"(10543.0, 10585.5)\": |-1.48 - 8.61| = 10.09\n", + " - \"(10585.5, 30961.5)\": |8.61 - (-0.66)| = 9.27\n", + " - \"(30961.5, 70654.5)\": |-0.66 - 9.72| = 10.38\n", + " - \"(70654.5, 99999.0)\": |9.72 - 0| = 9.72\n", + "\n", + "The largest absolute difference is 10.38, which occurs in the interval \"(30961.5, 70654.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is the midpoint of the interval \"(30961.5, 70654.5)\", which is (30961.5 + 70654.5) / 2 = 50808.0.\n", + "SOLUTION: 70654.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between mean values for intervals (2.0, 2.25) and (2.25, 2.6500000000000004):\n", + " Absolute difference = |-2.473 - (-2.179)| = 0.294\n", + "\n", + "2. Absolute difference between mean values for intervals (2.25, 2.6500000000000004) and (2.6500000000000004, 2.8499999999999996):\n", + " Absolute difference = |-2.179 - (-1.736)| = 0.443\n", + "\n", + "3. Absolute difference between mean values for intervals (2.6500000000000004, 2.8499999999999996) and (2.8499999999999996, 2.95):\n", + " Absolute difference = |-1.736 - (-0.945)| = 0.791\n", + "\n", + "4. Absolute difference between mean values for intervals (2.8499999999999996, 2.95) and (2.95, 3.05):\n", + " Absolute difference = |-0.945 - 0.062| = 1.007\n", + "\n", + "5. Absolute difference between mean values for intervals (2.95, 3.05) and (3.05, 3.25):\n", + " Absolute difference = |0.062 - 0.509| = 0.447\n", + "\n", + "6. Absolute difference between mean values for intervals (3.05, 3.25) and (3.25, 3.3499999999999996):\n", + " Absolute difference = |0.509 - 1.373| = 0.864\n", + "\n", + "7. Absolute difference between mean values for intervals (3.25, 3.3499999999999996) and (3.3499999999999996, 3.55):\n", + " Absolute difference = |1.373 - 1.669| = 0.296\n", + "\n", + "8. Absolute difference between mean values for intervals (3.3499999999999996, 3.55) and (3.55, 3.75):\n", + " Absolute difference = |1.669 - 2.097| = 0.428\n", + "\n", + "9. Absolute difference between mean values for intervals (3.55, 3.75) and (3.75, 3.95):\n", + " Absolute difference = |2.097 - 2.489| = 0.392\n", + "\n", + "10. Absolute difference between mean values for intervals (3.75, 3.95) and (3.95, 4.1):\n", + " Absolute difference = |2.489 - 2.778| = 0.289\n", + "\n", + "The largest absolute difference is 1.007, which occurs between the intervals (2.8499999999999996, 2.95) and (2.95, 3.05).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is in the interval (2.8499999999999996, 2.95).\n", + "SOLUTION: 2.95\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between mean values in the interval \"(0.04996, 0.05075)\": \n", + " Absolute difference = |0.5962 - 0.5519| = 0.0443\n", + "\n", + "2. Absolute difference between mean values in the interval \"(0.05075, 0.052285)\": \n", + " Absolute difference = |0.5519 - 0.5087| = 0.0432\n", + "\n", + "3. Absolute difference between mean values in the interval \"(0.052285, 0.05393)\": \n", + " Absolute difference = |0.5087 - 0.4681| = 0.0406\n", + "\n", + "4. Continue calculating the absolute differences between consecutive mean values for all intervals.\n", + "\n", + "After calculating the absolute differences, we will identify the interval with the largest absolute difference. The x-axis position of this interval will correspond to the position of the largest jump in the graph.\n", + "\n", + "Let's perform the calculations and identify the x-axis position of the largest jump.\n", + "SOLUTION: 0.056365\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between \"(4.0, 11.5)\" and \"(11.5, 12.5)\": |10.73 - 1.29| = 9.44\n", + "2. Absolute difference between \"(11.5, 12.5)\" and \"(12.5, 15.5)\": |1.29 - 3.88| = 2.59\n", + "3. Absolute difference between \"(12.5, 15.5)\" and \"(15.5, 18.0)\": |3.88 - 2.22| = 1.66\n", + "4. Absolute difference between \"(15.5, 18.0)\" and \"(18.0, 28.5)\": |2.22 - 6.17| = 3.95\n", + "5. Absolute difference between \"(18.0, 28.5)\" and \"(28.5, 30.5)\": |6.17 - 4.47| = 1.70\n", + "6. Absolute difference between \"(28.5, 30.5)\" and \"(30.5, 52.0)\": |4.47 - 5.56| = 1.09\n", + "7. Absolute difference between \"(30.5, 52.0)\" and \"(52.0, 54.5)\": |5.56 - 3.38| = 2.18\n", + "8. Absolute difference between \"(52.0, 54.5)\" and \"(54.5, 67.5)\": |3.38 - 4.79| = 1.41\n", + "9. Absolute difference between \"(54.5, 67.5)\" and \"(67.5, 73.5)\": |4.79 - 2.76| = 2.03\n", + "10. Absolute difference between \"(67.5, 73.5)\" and \"(73.5, 76.5)\": |2.76 - (-3.15)| = 5.91\n", + "11. Absolute difference between \"(73.5, 76.5)\" and \"(76.5, 78.5)\": |-3.15 - 2.29| = 5.44\n", + "12. Absolute difference between \"(76.5, 78.5)\" and \"(78.5, 82.5)\": |2.29 - (-0.16)| = 2.45\n", + "13. Absolute difference between \"(78.5, 82.5)\" and \"(82.5, 87.5)\": |-0.16 - (-2.8)| = 2.64\n", + "14. Absolute difference between \"(82.5, 87.5)\" and \"(87.5, 90.5)\": |-2.8 - 0.19| = 2.99\n", + "15. Absolute difference between \"(87.5, 90.5)\" and \"(90.5, 92.5)\": |0.19 - (-1.08)| = 1.27\n", + "16. Absolute difference between \"(90.5, 92.5)\" and \"(92.5, 95.5)\": |-1.08 - (-2.7)| = 1.62\n", + "17. Absolute difference between \"(92.5, 95.5)\" and \"(95.5, 108.5)\": |-2.7 - (-0.98)| = 1.72\n", + "18. Absolute difference between \"(95.5, 108.5)\" and \"(108.5, 117.5)\": |-0.98 - 0.02| = 1.00\n", + "19. Absolute difference between \"(108.5, 117.5)\" and \"(117.5, 124.5)\": |0.02 - (-3.44)| = 3.46\n", + "20. Absolute difference between \"(117.5, 124.5)\" and \"(124.5, 137.5)\": |-3.44 - 0.64| = 4.08\n", + "21. Absolute difference between \"(124.5, 137.5)\" and \"(137.5, 149.0)\": |0.64 - (-0.8)| = 1.44\n", + "22. Absolute difference between \"(137.5, 149.0)\" and \"(149.0, 171.5)\": |-0.8 - 5.06| = 5.86\n", + "23. Absolute difference between \"(149.0, 171.5)\" and \"(171.5, 173.0)\": |5.06 - 2.66| = 2.40\n", + "24. Absolute difference between \"(171.5, 173.0)\" and \"(173.0, 182.5)\": |2.66 - (-0.84)| = 3.50\n", + "25. Absolute difference between \"(173.0, 182.5)\" and \"(182.5, 192.5)\": |-0.84 - (-3.42)| = 2.58\n", + "26. Absolute difference between \"(182.5, 192.5)\" and \"(192.5, 193.5)\": |-3.42 - (-1.01)| = 2.41\n", + "27. Absolute difference between \"(192.5, 193.5)\" and \"(193.5, 253.0)\": |-1.01 - (-2.58)| = 1.57\n", + "28. Absolute difference between \"(193.5, 253.0)\" and \"(253.0, 285.0)\": |-2.58 - (-8.42)| = 5.84\n", + "\n", + "The largest absolute difference is 5.91, which occurs between the intervals \"(67.5, 73.5)\" and \"(73.5, 76.5)\".\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (67.5, 73.5).\n", + "SOLUTION: 11.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences in mean values between adjacent intervals and identify the interval where this difference is the largest.\n", + "\n", + "1. Calculate the absolute differences in mean values between adjacent intervals:\n", + " - For each adjacent pair of intervals, calculate the absolute difference in mean values.\n", + " - Keep track of the interval where the largest absolute difference occurs.\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - Compare the absolute differences calculated in step 1 to find the interval with the largest jump.\n", + "\n", + "Let's perform these calculations:\n", + "\n", + "- Absolute differences in mean values:\n", + " - (0.001713, 0.0031539999999999997): |0.2958 - 0.2615| = 0.0343\n", + " - (0.0031539999999999997, 0.003299): |0.2615 - 0.185| = 0.0765\n", + " - (0.003299, 0.003384): |0.185 - (-0.1523)| = 0.3373\n", + " - (0.003384, 0.0034675): |-0.1523 - (-0.1838)| = 0.0315\n", + " - (0.0034675, 0.0036699999999999997): |-0.1838 - (-0.2174)| = 0.0336\n", + " - ...\n", + " - Continue calculating absolute differences for all intervals.\n", + "\n", + "The largest absolute difference is 0.3373, which occurs between the intervals (0.003299, 0.003384).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval (0.003299, 0.003384).\n", + "SOLUTION: 0.003384\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between -0.769 and -0.671 = 0.098\n", + "2. Absolute difference between -0.671 and -0.846 = 0.175\n", + "3. Absolute difference between -0.846 and -0.943 = 0.097\n", + "4. Absolute difference between -0.943 and -0.843 = 0.1\n", + "5. Absolute difference between -0.843 and -0.745 = 0.098\n", + "6. Absolute difference between -0.745 and -0.646 = 0.099\n", + "7. Absolute difference between -0.646 and -0.54 = 0.106\n", + "8. Absolute difference between -0.54 and -0.438 = 0.102\n", + "9. Absolute difference between -0.438 and -0.332 = 0.106\n", + "10. Absolute difference between -0.332 and -0.234 = 0.098\n", + "11. Absolute difference between -0.234 and -0.081 = 0.153\n", + "12. Absolute difference between -0.081 and 0.187 = 0.268\n", + "13. Absolute difference between 0.187 and 0.284 = 0.097\n", + "14. Absolute difference between 0.284 and 0.385 = 0.101\n", + "15. Absolute difference between 0.385 and 0.486 = 0.101\n", + "16. Absolute difference between 0.486 and 0.586 = 0.1\n", + "17. Absolute difference between 0.586 and 0.698 = 0.112\n", + "18. Absolute difference between 0.698 and 0.797 = 0.099\n", + "19. Absolute difference between 0.797 and 0.897 = 0.1\n", + "\n", + "The largest absolute difference is 0.268, which occurs between the intervals (0.20695, 0.20795) and (0.20795, 0.2539).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is in the interval (0.20695, 0.20795).\n", + "SOLUTION: 0.20795\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To identify the position of the largest jump in the graph, we need to compare the mean values within the intervals provided for the continuous feature \"sex\". The mean values within each interval are as follows:\n", + "\n", + "- For the interval (0.0, 0.5): Mean = 0.01719\n", + "- For the interval (0.5, 1.0): Mean = -0.00954\n", + "\n", + "To find the largest jump, we calculate the absolute difference between these mean values:\n", + "\n", + "Absolute Jump = |0.01719 - (-0.00954)| = 0.02673\n", + "\n", + "Therefore, the largest jump in the graph occurs between the intervals (0.0, 0.5) and (0.5, 1.0) for the feature \"sex\".\n", + "SOLUTION: 0.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "Let's calculate the absolute differences between consecutive mean values:\n", + "\n", + "1. Absolute difference between (0.0, 0.5) and (0.5, 1.5):\n", + " |-0.0692 - (-0.3765)| = 0.3073\n", + "\n", + "2. Absolute difference between (0.5, 1.5) and (1.5, 4.5):\n", + " |-0.016 - (-0.0692)| = 0.0532\n", + "\n", + "3. Absolute difference between (1.5, 4.5) and (4.5, 5.5):\n", + " |0.0109 - (-0.016)| = 0.0269\n", + "\n", + "4. Absolute difference between (4.5, 5.5) and (5.5, 6.5):\n", + " |0.0432 - 0.0109| = 0.0323\n", + "\n", + "5. Absolute difference between (5.5, 6.5) and (6.5, 7.5):\n", + " |0.0871 - 0.0432| = 0.0439\n", + "\n", + "6. Absolute difference between (6.5, 7.5) and (7.5, 9.5):\n", + " |0.0554 - 0.0871| = 0.0317\n", + "\n", + "7. Absolute difference between (7.5, 9.5) and (9.5, 10.0):\n", + " |-0.0599 - 0.0554| = 0.1153\n", + "\n", + "The largest absolute difference is 0.3073 between the intervals (0.0, 0.5) and (0.5, 1.5).\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph occurs between 0.0 and 0.5 on the Tenure feature.\n", + "SOLUTION: 0.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals and identify the interval where this difference is the largest.\n", + "\n", + "1. Calculate the absolute differences between consecutive mean values:\n", + " - For each consecutive pair of intervals, calculate the absolute difference in mean values.\n", + " - Keep track of the interval where the absolute difference is the largest.\n", + "\n", + "2. Identify the interval with the largest absolute difference:\n", + " - Compare the absolute differences calculated in step 1 to find the largest absolute difference.\n", + " - Note the x-axis position associated with this interval.\n", + "\n", + "Let's perform these calculations:\n", + "\n", + "- Absolute differences between consecutive mean values:\n", + " - Absolute difference between \"(0.0, 845.0)\" and \"(845.0, 1448.0)\": |-0.044 - (-1.147)| = 1.103\n", + " - Absolute difference between \"(845.0, 1448.0)\" and \"(1448.0, 1551.5)\": |-1.147 - 0.416| = 1.563\n", + " - Absolute difference between \"(1448.0, 1551.5)\" and \"(1551.5, 1568.5)\": |0.416 - 3.928| = 3.512\n", + " - Continue calculating absolute differences for all consecutive intervals.\n", + "\n", + "- The largest absolute difference is found to be between the intervals \"(2553.0, 2581.0)\" and \"(2581.0, 2678.5)\" with a value of |5.5 - (-0.191)| = 5.691.\n", + "\n", + "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(2553.0, 2581.0)\".\n", + "SOLUTION: 1568.5\n", + "--------------------------------------------------------------------------------\n" + ] + } + ], + "source": [ + "system_msg = \"You are an expert statistician and data scientist. You interpret global explanations produced by a generalized additive model (GAM). You answer all questions to the best of your ability, combining the data contained in the graph, any data set description you are given, and your knowledge about the real world.\"\n", + "for question in questions:\n", + " messages = [{\"role\": \"system\", \"content\": system_msg}, {\"role\": \"user\", \"content\": question[0]}]\n", + " response = t2ebm.utils.openai_completion_query('gpt-3.5-turbo-0125', messages, temperature=0.0)\n", + " print('LLM RESPONSE: ', response)\n", + " print('SOLUTION: ', question[1])\n", + " print('-'*80)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 24 mistakes for gpt-4-turbo-2024-04-09" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 38 mistakes for gpt-3.5-turbo-0125" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### gemini" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/sebastian/anaconda3/envs/tmcd/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LLM RESPONSE: Here's how to find the position of the largest jump:\n", + "\n", + "1. **Identify the jump points:** The jumps occur at the boundaries between the intervals. In this case, the potential jump points are 1.5 and 2.5.\n", + "\n", + "2. **Calculate the magnitude of each jump:**\n", + " - **Jump at 1.5:** |0.534 - (-0.009)| = 0.543\n", + " - **Jump at 2.5:** |-0.532 - 0.534| = 1.066\n", + "\n", + "3. **Compare the magnitudes:** The jump at 2.5 (magnitude 1.066) is larger than the jump at 1.5 (magnitude 0.543).\n", + "\n", + "**Therefore, the x-axis position of the largest jump in the graph is 2.5.** \n", + "\n", + "SOLUTION: 2.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the position of the largest jump:\n", + "\n", + "1. **Identify the intervals where jumps occur:** Jumps happen at the boundaries between the intervals. In this case, there's a single jump at x = 0.5.\n", + "\n", + "2. **Calculate the magnitude of each jump:**\n", + " - **Jump at x=0.5:** |0.01522 - (-0.03391)| = 0.04913 \n", + "\n", + "3. **Determine the largest jump:** The largest jump is 0.04913.\n", + "\n", + "**Therefore, the x-axis position of the largest jump in the graph is at x = 0.5.** \n", + "\n", + "SOLUTION: 0.5\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 696.25\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 8.5\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 928.5\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 2.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the position of the largest jump:\n", + "\n", + "**1. Identify the boundaries where jumps occur.**\n", + "\n", + " Jumps occur at the edges of the intervals where the predicted mean changes. We'll examine the differences in mean values between consecutive intervals.\n", + "\n", + "**2. Calculate the magnitude of each jump.**\n", + "\n", + " For each pair of consecutive intervals, subtract the mean value of the first interval from the mean value of the second interval. Take the absolute value of this difference to find the magnitude of the jump.\n", + "\n", + "**3. Find the largest jump.**\n", + "\n", + " Compare the magnitudes of all the jumps calculated in step 2. The largest magnitude represents the largest jump.\n", + "\n", + "**4. Determine the x-axis position.**\n", + "\n", + " The x-axis position of the largest jump is the boundary between the two intervals where this largest jump occurs.\n", + "\n", + "**Let's apply these steps to your data:**\n", + "\n", + "It's tedious to calculate all jumps manually. Let's focus on the area around the largest visible jump in the provided means:\n", + "\n", + "* Interval 1: \"(0.022565, 0.02983)\", Mean: 0.1347\n", + "* Interval 2: \"(0.02983, 0.032535)\", Mean: 0.0347 \n", + "* Interval 3: \"(0.032535, 0.0338)\", Mean: -0.0071\n", + "\n", + "The jump between Interval 1 and Interval 2 is |0.1347 - 0.0347| = 0.1.\n", + "\n", + "The jump between Interval 2 and Interval 3 is |0.0347 - (-0.0071)| = 0.0418.\n", + "\n", + "While other jumps exist, they are visually smaller than these. Examining the full data confirms that the largest jump in mean value occurs at the boundary between the intervals **(0.02983, 0.032535)** and **(0.032535, 0.0338)**.\n", + "\n", + "**Therefore, the x-axis position of the largest jump is 0.032535.** \n", + "\n", + "SOLUTION: 0.02983\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the position of the largest jump in the graph:\n", + "\n", + "**1. Understanding \"Jumps\"**\n", + "\n", + "The jumps refer to the difference in mean values between consecutive intervals on the x-axis. We need to calculate these differences.\n", + "\n", + "**2. Calculating Differences**\n", + "\n", + "To make this easier, let's represent the intervals and their means in a clearer way:\n", + "\n", + "| Interval Start | Interval End | Mean Value |\n", + "|----------------|--------------|----------------|\n", + "| 2.0 | 23.0 | -70808.9 |\n", + "| 23.0 | 38.5 | -78966.6 |\n", + "| 38.5 | 48.5 | -28602.1 |\n", + "| ... | ... | ... |\n", + "\n", + "Now, calculate the difference between the mean values of each consecutive interval:\n", + "\n", + "* Difference between first and second intervals: |-78966.6 - (-70808.9)| = 8157.7\n", + "* Difference between second and third intervals: |-28602.1 - (-78966.6)| = 50364.5\n", + "* ... and so on for all intervals\n", + "\n", + "**3. Identifying the Largest Jump**\n", + "\n", + "Continue calculating the differences between the means of all consecutive intervals. The largest absolute difference will indicate the position of the largest jump. \n", + "\n", + "**4. X-axis Position**\n", + "\n", + "The x-axis position of the largest jump is the start value of the interval *after* the jump occurred. For example, if the largest jump is between the second and third intervals (23.0 - 38.5 and 38.5 - 48.5), the x-axis position of the jump is 38.5.\n", + "\n", + "**Note:** You'll need to perform all the calculations based on the provided data to pinpoint the exact location of the largest jump. \n", + "\n", + "SOLUTION: 38.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the position of the largest jump in the GAM graph:\n", + "\n", + "**1. Understand \"Jumps\"**\n", + "\n", + "The jumps refer to the differences in the mean predicted value between consecutive intervals on the x-axis. We need to calculate these differences.\n", + "\n", + "**2. Calculate Differences**\n", + "\n", + "For each pair of consecutive intervals, subtract the mean value of the first interval from the mean value of the second interval. For example:\n", + "\n", + "* Difference between the first two intervals: 0.3462 - 0.3865 = -0.0403\n", + "\n", + "**3. Consider Confidence Intervals**\n", + "\n", + "While calculating the jumps, it's essential to consider the confidence intervals. A large jump might not be statistically significant if the confidence intervals of the two means overlap substantially. However, we don't have a clear rule for how much overlap is acceptable, so we'll proceed by just looking at the mean jumps for this explanation.\n", + "\n", + "**4. Find the Largest Absolute Difference**\n", + "\n", + "After calculating all the differences, find the largest absolute difference. This means ignoring whether the difference is positive or negative and focusing on the magnitude.\n", + "\n", + "**5. Identify the X-axis Position**\n", + "\n", + "The x-axis position of the largest jump is the boundary between the two intervals that produced the largest absolute difference.\n", + "\n", + "**Let's apply this to the provided data (looking only at the means for simplicity):**\n", + "\n", + "By calculating the differences between consecutive means, we find the largest jump occurs between the intervals (187947.635, 187985.865) and (187985.865, 188452.565). The mean jumps from -0.1332 to -0.2342, a difference of -0.101.\n", + "\n", + "**Therefore, the x-axis position of the largest jump in the graph is 187985.865.** \n", + "\n", + "SOLUTION: 4627.98\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 10.5\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 51.5\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 4.5\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 55.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the largest jump:\n", + "\n", + "1. **Calculate the jumps:** We need to find the difference in mean values between each consecutive interval. \n", + "\n", + " * Jump between \"(0.0, 0.5)\" and \"(0.5, 1.5)\": 0.724 - (-0.368) = 1.092\n", + " * Jump between \"(0.5, 1.5)\" and \"(1.5, 2.5)\": 0.587 - 0.724 = -0.137\n", + " * Jump between \"(1.5, 2.5)\" and \"(2.5, 3.5)\": -0.221 - 0.587 = -0.808\n", + " * Jump between \"(2.5, 3.5)\" and \"(3.5, 4.5)\": -0.631 - (-0.221) = -0.410\n", + " * Jump between \"(3.5, 4.5)\" and \"(4.5, 5.5)\": -0.545 - (-0.631) = 0.086\n", + " * Jump between \"(4.5, 5.5)\" and \"(5.5, 6.0)\": 0.179 - (-0.545) = 0.724\n", + "\n", + "2. **Find the largest absolute jump:** We're interested in the largest magnitude jump, regardless of whether it's positive or negative.\n", + "\n", + " * |1.092|, |-0.137|, |-0.808|, |-0.410|, |0.086|, |0.724| \n", + "\n", + " The largest absolute jump is 1.092.\n", + "\n", + "3. **Identify the x-position:** The largest jump of 1.092 occurs between the intervals \"(0.0, 0.5)\" and \"(0.5, 1.5)\". Therefore, the x-axis position of the largest jump is **0.5**. \n", + "\n", + "SOLUTION: 0.5\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 14.0\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 6171.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the position of the largest jump in the GAM graph:\n", + "\n", + "**1. Understanding \"Jumps\"**\n", + "\n", + "The jumps refer to the differences in mean values between consecutive age intervals. Since the GAM predicts the same value within an interval, the jump happens at the boundary between two intervals.\n", + "\n", + "**2. Calculating Differences**\n", + "\n", + "We need to calculate the absolute difference between the mean values of each consecutive interval. \n", + "\n", + "For example:\n", + "* Difference between intervals (17.0, 18.5) and (18.5, 19.5): |-3.326 - (-2.358)| = 0.968\n", + "* Difference between intervals (18.5, 19.5) and (19.5, 20.5): |-2.358 - (-2.799)| = 0.441\n", + "* And so on...\n", + "\n", + "**3. Identifying the Largest Difference**\n", + "\n", + "Continue calculating the differences between all consecutive intervals. The largest absolute difference will indicate the position of the largest jump.\n", + "\n", + "**4. X-axis Position**\n", + "\n", + "The x-axis position of the largest jump will be the boundary between the two intervals where the largest difference was found.\n", + "\n", + "**Let's calculate a few differences to get started:**\n", + "\n", + "* **(17.0, 18.5) to (18.5, 19.5):** 0.968\n", + "* **(18.5, 19.5) to (19.5, 20.5):** 0.441\n", + "* **(19.5, 20.5) to (20.5, 21.5):** 0.445 \n", + "\n", + "You'll need to continue these calculations for all intervals. Once you've calculated all the differences, the largest one will pinpoint the location of the largest jump on the x-axis. \n", + "\n", + "SOLUTION: 84.5\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 15.0\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 4089.0\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 3747.0\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the position of the largest jump in the graph:\n", + "\n", + "**1. Calculate the Jumps:**\n", + "\n", + " We need to find the difference in mean values between each consecutive interval. \n", + "\n", + " * **Example:** The jump between the intervals \"(16.935000000000002, 18.335)\" and \"(18.335, 19.505)\" is -1.55 - (-1.717) = 0.167\n", + "\n", + " Calculate the jumps for all adjacent intervals.\n", + "\n", + "**2. Find the Absolute Values:**\n", + "\n", + " Since we're interested in the magnitude of the jump, take the absolute value of each jump calculated in step 1.\n", + "\n", + "**3. Identify the Largest Jump:**\n", + "\n", + " Compare the absolute values of the jumps. The largest value represents the largest jump.\n", + "\n", + "**4. Determine the X-axis Position:**\n", + "\n", + " The x-axis position of the largest jump is the boundary between the two intervals where the jump occurs. \n", + "\n", + " * **Example:** If the largest jump was calculated in the example in step 1, the x-axis position would be 18.335.\n", + "\n", + "**Let me know if you'd like me to walk through the calculations with the provided data to find the exact x-axis position.** \n", + "\n", + "SOLUTION: 19.505\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the position of the largest jump:\n", + "\n", + "1. **Identify the jump points:** The jumps occur at the boundaries of the intervals. In this case, there's only one jump point: at x = 0.5.\n", + "\n", + "2. **Calculate the magnitude of the jump:** \n", + " * The mean value to the left of x=0.5 is -0.1077.\n", + " * The mean value to the right of x=0.5 is 0.1864.\n", + " * The magnitude of the jump is |0.1864 - (-0.1077)| = 0.2941\n", + "\n", + "3. **Since there's only one jump, it's automatically the largest.**\n", + "\n", + "**Therefore, the x-axis position of the largest jump in the graph is 0.5.** \n", + "\n", + "SOLUTION: 0.5\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the position of the largest jump:\n", + "\n", + "1. **Identify the jump points:** The jumps occur at the boundaries between the intervals. So our potential jump points are 1.5, 2.5, and 3.5 on the x-axis.\n", + "\n", + "2. **Calculate the magnitude of each jump:** We do this by subtracting the mean value of the interval *before* the jump point from the mean value of the interval *after* the jump point. Let's calculate:\n", + "\n", + " * **Jump at 1.5:** 0.96 - (-0.918) = 1.878\n", + " * **Jump at 2.5:** -3.104 - 0.96 = -4.064 \n", + " * **Jump at 3.5:** -2.768 - (-3.104) = 0.336\n", + "\n", + "3. **Determine the largest absolute jump:**\n", + "\n", + " * |1.878| = 1.878\n", + " * |-4.064| = 4.064\n", + " * |0.336| = 0.336\n", + "\n", + " The largest absolute jump is 4.064.\n", + "\n", + "4. **Identify the x-axis position:** The largest jump occurs at x = **2.5**. \n", + "\n", + "SOLUTION: 2.5\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 0.099305\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 15567333.5\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 0.19345\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the largest jump in the GAM graph:\n", + "\n", + "**1. Calculate the Differences Between Consecutive Intervals**\n", + "\n", + "We need to find the difference in mean values between each consecutive interval on the x-axis. \n", + "\n", + "* **(1.5, 4.5) - (1.0, 1.5):** -1.252 - (-4.746) = 3.494\n", + "* **(4.5, 6.5) - (1.5, 4.5):** -0.882 - (-1.252) = 0.370\n", + "* **(6.5, 9.5) - (4.5, 6.5):** -0.483 - (-0.882) = 0.399\n", + "* **(9.5, 11.5) - (6.5, 9.5):** -0.093 - (-0.483) = 0.390\n", + "* **(11.5, 13.5) - (9.5, 11.5):** 0.276 - (-0.093) = 0.369\n", + "* **(13.5, 14.5) - (11.5, 13.5):** 0.863 - (0.276) = 0.587\n", + "* **(14.5, 16.0) - (13.5, 14.5):** 1.487 - (0.863) = 0.624\n", + "\n", + "**2. Identify the Largest Difference**\n", + "\n", + "The largest difference in mean values is 3.494, which occurs between the intervals (1.0, 1.5) and (1.5, 4.5).\n", + "\n", + "**3. Determine the X-axis Position**\n", + "\n", + "The largest jump occurs at the boundary between these two intervals, which is at x = **1.5**. \n", + "\n", + "**Therefore, the x-axis position of the largest jump in the graph is 1.5.** \n", + "\n", + "SOLUTION: 1.5\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 4.85\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 34.325\n", + "--------------------------------------------------------------------------------\n", + "Gemini: Invalid response with parts [].\n", + "LLM RESPONSE: \n", + "SOLUTION: 16.925\n", + "--------------------------------------------------------------------------------\n", + "LLM RESPONSE: Here's how to find the position of the largest jump in the graph:\n", + "\n", + "**1. Understand what a \"jump\" represents:**\n", + "\n", + "A \"jump\" in this context refers to the difference in the mean value between two consecutive intervals on the x-axis. We need to compare the mean value at the end of one interval with the mean value at the beginning of the next interval.\n", + "\n", + "**2. Calculate the jumps between each interval:**\n", + "\n", + "Here's a breakdown of the jumps, calculated by subtracting the mean of the previous interval from the mean of the current interval:\n", + "\n", + "* Jump after (0.05263, 0.0706): -0.769 - (-0.835) = 0.066\n", + "* Jump after (0.0706, 0.07455500000000001): -0.697 - (-0.769) = 0.072\n", + "* Jump after (0.07455500000000001, 0.07589499999999999): -0.632 - (-0.697) = 0.065\n", + "* ... (Calculate the jumps for all intervals)\n", + "* Jump after (0.090335, 0.09454): 0.107 - 0.211 = -0.104 \n", + "* ... (Calculate the jumps for all intervals)\n", + "\n", + "**3. Identify the largest jump:**\n", + "\n", + "- Scan through the calculated jumps and find the largest absolute difference. \n", + "- Keep track of the x-value where this largest jump occurs.\n", + "\n", + "**4. The x-value is the position of the largest jump.**\n", + "\n", + "**Important Note:** I haven't calculated all the jumps for you. You'll need to complete step 2 to find the exact position of the largest jump. \n", + "\n", + "SOLUTION: 0.088615\n", + "--------------------------------------------------------------------------------\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[68], line 28\u001b[0m\n\u001b[1;32m 26\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m-\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m80\u001b[39m)\n\u001b[1;32m 27\u001b[0m \u001b[38;5;66;03m# sleep 20 sec to avoid rate limit\u001b[39;00m\n\u001b[0;32m---> 28\u001b[0m \u001b[43mtime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msleep\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m20\u001b[39;49m\u001b[43m)\u001b[49m\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "import google.generativeai as genai\n", + "import os\n", + "\n", + "genai.configure(api_key=os.environ['GEMINI_API_KEY'])\n", + "\n", + "import time\n", + "\n", + "model = genai.GenerativeModel(model_name=\"gemini-1.5-pro-latest\")\n", + "\n", + "for question in questions:\n", + " messages = [{'role':'user', 'parts': [question[0]]}]\n", + " response = model.generate_content(\n", + " messages,\n", + " generation_config=genai.types.GenerationConfig(\n", + " candidate_count=1,\n", + " max_output_tokens=500,\n", + " temperature=0.2),\n", + " )\n", + " try:\n", + " response = response.text\n", + " except:\n", + " print(f\"Gemini: Invalid response with parts {response.parts}.\")\n", + " response = \"\"\n", + " print('LLM RESPONSE: ', response)\n", + " print('SOLUTION: ', question[1])\n", + " print('-'*80)\n", + " # sleep 20 sec to avoid rate limit\n", + " time.sleep(20)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "tmcd", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/benchmarks/notebooks/monotonicity.ipynb b/benchmark/notebooks/monotonicity.ipynb similarity index 100% rename from benchmarks/notebooks/monotonicity.ipynb rename to benchmark/notebooks/monotonicity.ipynb diff --git a/benchmarks/notebooks/preprocess-graphs.ipynb b/benchmark/notebooks/preprocess-graphs.ipynb similarity index 100% rename from benchmarks/notebooks/preprocess-graphs.ipynb rename to benchmark/notebooks/preprocess-graphs.ipynb diff --git a/benchmarks/notebooks/value.ipynb b/benchmark/notebooks/value.ipynb similarity index 100% rename from benchmarks/notebooks/value.ipynb rename to benchmark/notebooks/value.ipynb diff --git a/benchmarks/results/confidence-gpt-4-turbo-2024-04-09.txt b/benchmark/results/confidence-gpt-4-turbo-2024-04-09.txt similarity index 100% rename from benchmarks/results/confidence-gpt-4-turbo-2024-04-09.txt rename to benchmark/results/confidence-gpt-4-turbo-2024-04-09.txt diff --git a/benchmarks/results/function-recognition-gemini-1.5.txt b/benchmark/results/function-recognition-gemini-1.5.txt similarity index 100% rename from benchmarks/results/function-recognition-gemini-1.5.txt rename to benchmark/results/function-recognition-gemini-1.5.txt diff --git a/benchmarks/results/function-recognition-gpt-4-turbo-2024-04-09.txt b/benchmark/results/function-recognition-gpt-4-turbo-2024-04-09.txt similarity index 100% rename from benchmarks/results/function-recognition-gpt-4-turbo-2024-04-09.txt rename to benchmark/results/function-recognition-gpt-4-turbo-2024-04-09.txt diff --git a/benchmarks/results/jump-gpt-3.5-turbo-0125.txt b/benchmark/results/jump-gpt-3.5-turbo-0125.txt similarity index 100% rename from benchmarks/results/jump-gpt-3.5-turbo-0125.txt rename to benchmark/results/jump-gpt-3.5-turbo-0125.txt diff --git a/benchmarks/results/jump-gpt-4-turbo-2024-04-09.txt b/benchmark/results/jump-gpt-4-turbo-2024-04-09.txt similarity index 100% rename from benchmarks/results/jump-gpt-4-turbo-2024-04-09.txt rename to benchmark/results/jump-gpt-4-turbo-2024-04-09.txt diff --git a/benchmarks/results/monotonicity-gemini-1.5.txt b/benchmark/results/monotonicity-gemini-1.5.txt similarity index 100% rename from benchmarks/results/monotonicity-gemini-1.5.txt rename to benchmark/results/monotonicity-gemini-1.5.txt diff --git a/benchmarks/results/monotonicity-gpt-4-turbo-2024-04-09.txt b/benchmark/results/monotonicity-gpt-4-turbo-2024-04-09.txt similarity index 100% rename from benchmarks/results/monotonicity-gpt-4-turbo-2024-04-09.txt rename to benchmark/results/monotonicity-gpt-4-turbo-2024-04-09.txt diff --git a/benchmarks/results/read-value-gemini-1.5.txt b/benchmark/results/read-value-gemini-1.5.txt similarity index 100% rename from benchmarks/results/read-value-gemini-1.5.txt rename to benchmark/results/read-value-gemini-1.5.txt diff --git a/benchmarks/results/read-value-gpt-3.5-turbo-0125.txt b/benchmark/results/read-value-gpt-3.5-turbo-0125.txt similarity index 100% rename from benchmarks/results/read-value-gpt-3.5-turbo-0125.txt rename to benchmark/results/read-value-gpt-3.5-turbo-0125.txt diff --git a/benchmarks/results/read-value-gpt-4-turbo-2024-04-09.txt b/benchmark/results/read-value-gpt-4-turbo-2024-04-09.txt similarity index 100% rename from benchmarks/results/read-value-gpt-4-turbo-2024-04-09.txt rename to benchmark/results/read-value-gpt-4-turbo-2024-04-09.txt diff --git a/benchmarks/notebooks/confidence.ipynb b/benchmarks/notebooks/confidence.ipynb deleted file mode 100644 index 00cbb0f..0000000 --- a/benchmarks/notebooks/confidence.ipynb +++ /dev/null @@ -1,2029 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Wide Confidence Interval Benchmark" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# add parent directory to path\n", - "import sys\n", - "sys.path.append('..')\n", - "\n", - "import copy\n", - "import random\n", - "import numpy as np\n", - "\n", - "import matplotlib.pyplot as plt\n", - "\n", - "import t2ebm\n", - "from t2ebm import graphs\n", - "from t2ebm import prompts" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Create the benchmark" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/sebastian/Documents/GitHub/TalkToEBM/t2ebm/graphs.py:318: SyntaxWarning: invalid escape sequence '\\%'\n", - " \" a simplification level of 10\\%. This graph is too complex to\"\n" - ] - } - ], - "source": [ - "# load graphs (pickle)\n", - "import pickle\n", - "\n", - "with open(\"all_graphs.pkl\", \"rb\") as f:\n", - " all_graphs = pickle.load(f)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "def widest_confidence_interval(graph):\n", - " \"\"\"returns the position and the size of the largest jump in the graph\"\"\"\n", - " idx = np.argmax(graph.stds)\n", - " return graph.x_vals[idx]" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "questions = []\n", - "for graph, graph_as_text in all_graphs:\n", - " # only continuous graphs\n", - " if graph.feature_type != \"continuous\":\n", - " continue\n", - " question = \"\"\"Below is the graph of a generalized additive model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take.\n", - " \n", - " The graph is provided in the following format:\n", - " - The name of the feature depicted in the graph\n", - " - The type of the feature (continuous, categorical, or boolean)\n", - " - Mean values\n", - " - Lower bounds of confidence interval (optional)\n", - " - Upper bounds of confidence interval (optional)\\n\\n\"\"\"\n", - " question += f\"Here is the graph:\\n\\n{graph_as_text}\\n\"\n", - " question += \"\"\"Every interval in the graph comes with a lower and and an upper confidence bound.\n", - "\n", - "We are now looking for the interval in the graph that has the widest confidence bound. \n", - "\n", - "What is the x-axis interval that has the widest confidence bound? Think step by step.\"\"\"\n", - " graph_ = graphs.text_to_graph(graph_as_text)\n", - " pos = widest_confidence_interval(graph_)\n", - " questions.append((question, str(pos)))" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "# subset 100 random questions\n", - "random.shuffle(questions)\n", - "questions = questions[:100]" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Below is the graph of a generalized additive model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take.\n", - " \n", - " The graph is provided in the following format:\n", - " - The name of the feature depicted in the graph\n", - " - The type of the feature (continuous, categorical, or boolean)\n", - " - Mean values\n", - " - Lower bounds of confidence interval (optional)\n", - " - Upper bounds of confidence interval (optional)\n", - "\n", - "Here is the graph:\n", - "\n", - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: smoothness_mean\n", - "Feature Type: continuous\n", - "Means: {\"(0.05263, 0.0706)\": -0.835, \"(0.0706, 0.07455500000000001)\": -0.769, \"(0.07455500000000001, 0.07589499999999999)\": -0.697, \"(0.07589499999999999, 0.07727500000000001)\": -0.632, \"(0.07727500000000001, 0.078275)\": -0.569, \"(0.078275, 0.07952000000000001)\": -0.506, \"(0.07952000000000001, 0.080315)\": -0.437, \"(0.080315, 0.081035)\": -0.368, \"(0.081035, 0.08308499999999999)\": -0.304, \"(0.08308499999999999, 0.085165)\": -0.242, \"(0.085165, 0.086795)\": -0.177, \"(0.086795, 0.087785)\": -0.111, \"(0.087785, 0.088615)\": -0.047, \"(0.088615, 0.08918999999999999)\": 0.065, \"(0.08918999999999999, 0.090335)\": 0.142, \"(0.090335, 0.09454)\": 0.211, \"(0.09454, 0.11525)\": 0.107, \"(0.11525, 0.11765)\": 0.171, \"(0.11765, 0.12455)\": 0.267, \"(0.12455, 0.13845000000000002)\": 0.334, \"(0.13845000000000002, 0.1634)\": 0.396}\n", - "Lower Bounds (95%-Confidence Interval): {\"(0.05263, 0.0706)\": -1.454, \"(0.0706, 0.07455500000000001)\": -1.359, \"(0.07455500000000001, 0.07589499999999999)\": -1.244, \"(0.07589499999999999, 0.07727500000000001)\": -1.162, \"(0.07727500000000001, 0.078275)\": -1.087, \"(0.078275, 0.07952000000000001)\": -1.006, \"(0.07952000000000001, 0.080315)\": -0.882, \"(0.080315, 0.081035)\": -0.622, \"(0.081035, 0.08308499999999999)\": -0.547, \"(0.08308499999999999, 0.085165)\": -0.444, \"(0.085165, 0.086795)\": -0.357, \"(0.086795, 0.087785)\": -0.296, \"(0.087785, 0.088615)\": -0.23, \"(0.088615, 0.08918999999999999)\": -0.16, \"(0.08918999999999999, 0.090335)\": -0.309, \"(0.090335, 0.09454)\": -0.264, \"(0.09454, 0.11525)\": -0.005, \"(0.11525, 0.11765)\": 0.07, \"(0.11765, 0.12455)\": 0.022, \"(0.12455, 0.13845000000000002)\": 0.077, \"(0.13845000000000002, 0.1634)\": 0.127}\n", - "Upper Bounds (95%-Confidence Interval): {\"(0.05263, 0.0706)\": -0.216, \"(0.0706, 0.07455500000000001)\": -0.178, \"(0.07455500000000001, 0.07589499999999999)\": -0.151, \"(0.07589499999999999, 0.07727500000000001)\": -0.102, \"(0.07727500000000001, 0.078275)\": -0.052, \"(0.078275, 0.07952000000000001)\": -0.006, \"(0.07952000000000001, 0.080315)\": 0.008, \"(0.080315, 0.081035)\": -0.113, \"(0.081035, 0.08308499999999999)\": -0.062, \"(0.08308499999999999, 0.085165)\": -0.04, \"(0.085165, 0.086795)\": 0.004, \"(0.086795, 0.087785)\": 0.075, \"(0.087785, 0.088615)\": 0.136, \"(0.088615, 0.08918999999999999)\": 0.291, \"(0.08918999999999999, 0.090335)\": 0.594, \"(0.090335, 0.09454)\": 0.685, \"(0.09454, 0.11525)\": 0.22, \"(0.11525, 0.11765)\": 0.273, \"(0.11765, 0.12455)\": 0.512, \"(0.12455, 0.13845000000000002)\": 0.591, \"(0.13845000000000002, 0.1634)\": 0.664}\n", - "\n", - "Every interval in the graph comes with a lower and and an upper confidence bound.\n", - "\n", - "We are now looking for the interval in the graph that has the widest confidence bound. \n", - "\n", - "What is the x-axis interval that has the widest confidence bound? Think step by step.\n", - "SOLUTION: (0.05263, 0.0706)\n" - ] - } - ], - "source": [ - "# print a random question\n", - "import random\n", - "random.shuffle(questions)\n", - "print(questions[0][0])\n", - "print('SOLUTION: ', questions[0][1])" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "# save the questions to json\n", - "import json\n", - "with open(\"../benchmark/wide-confidence.json\", \"w\") as f:\n", - " json.dump(questions, f, indent=2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Run the benchmark" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "100" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# load the json file\n", - "with open(\"../benchmark/wide-confidence.json\", \"r\") as f:\n", - " questions = json.load(f)\n", - "len(questions)" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval `(0.07117, 0.09376000000000001)`: Width = -0.336 - (-2.26) = 1.924\n", - "- For interval `(0.09376000000000001, 0.099705)`: Width = -0.19 - (-2.132) = 1.942\n", - "- For interval `(0.099705, 0.10519999999999999)`: Width = -0.039 - (-2.009) = 1.97\n", - "- For interval `(0.10519999999999999, 0.10825)`: Width = 0.096 - (-1.875) = 1.971\n", - "- For interval `(0.10825, 0.11549999999999999)`: Width = -0.289 - (-0.765) = 0.476\n", - "- For interval `(0.11549999999999999, 0.12345)`: Width = -0.2 - (-0.589) = 0.389\n", - "- For interval `(0.12345, 0.13074999999999998)`: Width = -0.086 - (-0.435) = 0.349\n", - "- For interval `(0.13074999999999998, 0.13585)`: Width = 0.136 - (-0.384) = 0.52\n", - "- For interval `(0.13585, 0.13640000000000002)`: Width = 0.348 - (-0.325) = 0.673\n", - "- For interval `(0.13640000000000002, 0.13845000000000002)`: Width = 0.556 - (-0.247) = 0.803\n", - "- For interval `(0.13845000000000002, 0.14065)`: Width = 0.652 - (-0.076) = 0.728\n", - "- For interval `(0.14065, 0.14635)`: Width = 0.997 - (-0.12) = 1.117\n", - "- For interval `(0.14635, 0.15585)`: Width = 0.983 - 0.165 = 0.818\n", - "- For interval `(0.15585, 0.16885)`: Width = 1.146 - 0.27 = 0.876\n", - "- For interval `(0.16885, 0.17825)`: Width = 1.289 - 0.402 = 0.887\n", - "- For interval `(0.17825, 0.19574999999999998)`: Width = 2.823 - (-0.484) = 3.307\n", - "- For interval `(0.19574999999999998, 0.2226)`: Width = 2.957 - (-0.349) = 3.306\n", - "\n", - "From the calculations, the interval `(0.17825, 0.19574999999999998)` has the widest confidence bound with a width of 3.307.\n", - "SOLUTION: (0.17825, 0.19574999999999998)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds of the confidence interval for each interval and identify the one with the largest difference.\n", - "\n", - "Here are the calculations for each interval:\n", - "\n", - "1. Interval (4.3, 4.55): Upper - Lower = 3.437 - 3.22 = 0.217\n", - "2. Interval (4.55, 4.75): Upper - Lower = 3.144 - 2.846 = 0.298\n", - "3. Interval (4.75, 4.85): Upper - Lower = 2.857 - 2.54 = 0.317\n", - "4. Interval (4.85, 5.05): Upper - Lower = 2.145 - 1.185 = 0.96\n", - "5. Interval (5.05, 5.25): Upper - Lower = 1.528 - 1.214 = 0.314\n", - "6. Interval (5.25, 5.45): Upper - Lower = 1.277 - 0.892 = 0.385\n", - "7. Interval (5.45, 5.55): Upper - Lower = 0.843 - (-0.164) = 1.007\n", - "8. Interval (5.55, 5.75): Upper - Lower = 0.206 - (-0.32) = 0.526\n", - "9. Interval (5.75, 5.85): Upper - Lower = -0.116 - (-0.665) = 0.549\n", - "10. Interval (5.85, 6.15): Upper - Lower = -0.627 - (-0.888) = 0.261\n", - "11. Interval (6.15, 6.45): Upper - Lower = -1.009 - (-1.29) = 0.281\n", - "12. Interval (6.45, 6.85): Upper - Lower = -1.298 - (-1.575) = 0.277\n", - "13. Interval (6.85, 7.7): Upper - Lower = -1.623 - (-1.814) = 0.191\n", - "\n", - "From these calculations, the interval (5.45, 5.55) has the widest confidence bound with a difference of 1.007. This interval therefore has the widest confidence interval among all the intervals listed.\n", - "SOLUTION: (5.45, 5.55)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval with the largest difference.\n", - "\n", - "Here are the calculations for each interval:\n", - "\n", - "1. Interval (1.0, 1.5):\n", - " - Lower Bound: -6.411\n", - " - Upper Bound: -3.082\n", - " - Difference: -3.082 - (-6.411) = 3.329\n", - "\n", - "2. Interval (1.5, 4.5):\n", - " - Lower Bound: -1.52\n", - " - Upper Bound: -0.984\n", - " - Difference: -0.984 - (-1.52) = 0.536\n", - "\n", - "3. Interval (4.5, 6.5):\n", - " - Lower Bound: -0.99\n", - " - Upper Bound: -0.775\n", - " - Difference: -0.775 - (-0.99) = 0.215\n", - "\n", - "4. Interval (6.5, 9.5):\n", - " - Lower Bound: -0.541\n", - " - Upper Bound: -0.425\n", - " - Difference: -0.425 - (-0.541) = 0.116\n", - "\n", - "5. Interval (9.5, 11.5):\n", - " - Lower Bound: -0.138\n", - " - Upper Bound: -0.049\n", - " - Difference: -0.049 - (-0.138) = 0.089\n", - "\n", - "6. Interval (11.5, 13.5):\n", - " - Lower Bound: 0.205\n", - " - Upper Bound: 0.347\n", - " - Difference: 0.347 - 0.205 = 0.142\n", - "\n", - "7. Interval (13.5, 14.5):\n", - " - Lower Bound: 0.788\n", - " - Upper Bound: 0.938\n", - " - Difference: 0.938 - 0.788 = 0.150\n", - "\n", - "8. Interval (14.5, 16.0):\n", - " - Lower Bound: 1.332\n", - " - Upper Bound: 1.641\n", - " - Difference: 1.641 - 1.332 = 0.309\n", - "\n", - "From these calculations, the interval (1.0, 1.5) has the widest confidence bound with a difference of 3.329. This is the interval with the largest difference between the upper and lower bounds of the confidence interval.\n", - "SOLUTION: (1.0, 1.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds of the confidence interval for each interval and identify the one with the maximum difference.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Difference**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Identify the Maximum Difference**: Compare the differences calculated in step 2 to find the maximum difference, which indicates the widest confidence interval.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval `(2.0, 23.0)`: Difference = `-50072.0 - (-91545.9) = 41473.9`\n", - "- For interval `(23.0, 38.5)`: Difference = `-54966.9 - (-102966.4) = 47999.5`\n", - "- For interval `(38.5, 48.5)`: Difference = `-24.3 - (-57179.9) = 57155.6`\n", - "- For interval `(48.5, 119.0)`: Difference = `-29651.4 - (-64507.9) = 34856.5`\n", - "- For interval `(119.0, 163.0)`: Difference = `-38333.5 - (-67051.1) = 28717.6`\n", - "- For interval `(163.0, 186.5)`: Difference = `-45199.3 - (-74986.7) = 29787.4`\n", - "- For interval `(186.5, 223.5)`: Difference = `-39853.9 - (-62447.2) = 22593.3`\n", - "- For interval `(223.5, 239.5)`: Difference = `-23883.2 - (-55573.0) = 31689.8`\n", - "- For interval `(239.5, 248.5)`: Difference = `20408.0 - (-34485.5) = 54893.5`\n", - "- For interval `(248.5, 265.5)`: Difference = `17433.4 - (-18815.6) = 36249.0`\n", - "- For interval `(265.5, 280.5)`: Difference = `7471.9 - (-35576.3) = 43048.2`\n", - "- For interval `(280.5, 342.5)`: Difference = `-26453.2 - (-44957.9) = 18504.7`\n", - "- For interval `(342.5, 364.5)`: Difference = `-12564.3 - (-36592.4) = 24028.1`\n", - "- For interval `(364.5, 385.5)`: Difference = `-28395.1 - (-39620.4) = 11225.3`\n", - "- For interval `(385.5, 406.5)`: Difference = `-38875.1 - (-54434.9) = 15559.8`\n", - "- For interval `(406.5, 413.5)`: Difference = `-6712.1 - (-28898.3) = 22186.2`\n", - "- For interval `(413.5, 443.5)`: Difference = `-2459.1 - (-21926.2) = 19467.1`\n", - "- For interval `(443.5, 452.5)`: Difference = `-10730.8 - (-34828.5) = 24097.7`\n", - "- For interval `(452.5, 502.5)`: Difference = `-21000.9 - (-40304.3) = 19303.4`\n", - "- For interval `(502.5, 508.5)`: Difference = `-14681.3 - (-35649.5) = 20968.2`\n", - "- For interval `(508.5, 515.5)`: Difference = `1516.8 - (-27403.5) = 28920.3`\n", - "- For interval `(515.5, 1152.5)`: Difference = `-14834.1 - (-28456.5) = 13622.4`\n", - "- For interval `(1152.5, 1239.5)`: Difference = `-11610.6 - (-20918.2) = 9307.6`\n", - "- For interval `(1239.5, 1245.5)`: Difference = `1860.9 - (-15907.4) = 17768.3`\n", - "- For interval `(1245.5, 1619.5)`: Difference = `-5766.8 - (-19943.7) = 14176.9`\n", - "- For interval `(1619.5, 1944.5)`: Difference = `-1767.7 - (-13063.6) = 11295.9`\n", - "- For interval `(1944.5, 2330.5)`: Difference = `6128.1 - (-8595.8) = 14723.9`\n", - "- For interval `(2330.5, 2710.5)`: Difference = `5805.0 - 2936.6 = 2868.4`\n", - "- For interval `(2710.5, 2834.5)`: Difference = `12408.3 - 7069.8 = 5338.5`\n", - "- For interval `(2834.5, 2838.5)`: Difference = `32071.2 - 1263.0 = 30808.2`\n", - "- For interval `(2838.5, 3577.5)`: Difference = `13167.8 - 7025.1 = 6142.7`\n", - "- For interval `(3577.5, 5401.0)`: Difference = `20811.4 - 10287.4 = 10524.0`\n", - "- For interval `(5401.0, 5535.5)`: Difference = `39337.3 - 10519.1 = 28818.2`\n", - "- For interval `(5535.5, 9961.0)`: Difference = `25602.1 - 12536.6 = 13065.5`\n", - "- For interval `(9961.0, 18662.0)`: Difference = `35928.6 - 16596.5 = 19332.1`\n", - "- For interval `(18662.0, 39320.0)`: Difference = `24283.0 - 17189.5 = 7093.5`\n", - "\n", - "From the calculations, the interval `(38.5, 48.5)` has the widest confidence bound with a difference of `57155.6`.\n", - "SOLUTION: (38.5, 48.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: From the JSON object, extract the lower and upper bounds for each interval.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval for Each Interval**: Subtract the lower bound from the upper bound for each interval.\n", - "\n", - "3. **Identify the Interval with the Maximum Width**: Compare the widths calculated in step 2 and identify the interval with the largest width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval \"(0.0, 6.325)\": Width = 0.54 - (-3.39) = 3.93\n", - "- For interval \"(6.325, 7.8500000000000005)\": Width = 0.645 - (-3.252) = 3.897\n", - "- For interval \"(7.8500000000000005, 9.256250000000001)\": Width = 0.377 - (-1.321) = 1.698\n", - "- For interval \"(9.256250000000001, 10.48125)\": Width = 0.553 - (-1.756) = 2.309\n", - "- For interval \"(10.48125, 12.9375)\": Width = 0.163 - (-0.444) = 0.607\n", - "- For interval \"(12.9375, 25.79375)\": Width = 0.913 - (-0.464) = 1.377\n", - "- For interval \"(25.79375, 26.46875)\": Width = 1.191 - (-0.48) = 1.671\n", - "- For interval \"(26.46875, 27.7354)\": Width = 0.833 - (-0.42) = 1.253\n", - "- For interval \"(27.7354, 29.85)\": Width = 0.533 - (-1.008) = 1.541\n", - "- For interval \"(29.85, 31.6604)\": Width = 0.718 - (-0.616) = 1.334\n", - "- For interval \"(31.6604, 55.22085)\": Width = 0.127 - (-0.278) = 0.405\n", - "- For interval \"(55.22085, 89.5521)\": Width = 0.176 - (-0.095) = 0.271\n", - "- For interval \"(89.5521, 149.0354)\": Width = 0.367 - (-0.062) = 0.429\n", - "- For interval \"(149.0354, 387.6646)\": Width = 0.436 - (-0.493) = 0.929\n", - "- For interval \"(387.6646, 512.3292)\": Width = 2.455 - (-0.839) = 3.294\n", - "\n", - "From these calculations, the interval with the widest confidence bound is **\"(0.0, 6.325)\"** with a width of 3.93.\n", - "SOLUTION: (0.0, 6.325)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the x-axis interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval with the maximum difference.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Identify the Maximum Width**: Compare the widths of all intervals and identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations using the provided data:\n", - "\n", - "- For interval `(0.002252, 0.0046765)`, the lower bound is `-0.2881` and the upper bound is `0.1496`. The width is `0.1496 - (-0.2881) = 0.4377`.\n", - "- For interval `(0.0046765, 0.005634)`, the width is `0.1917 - (-0.2345) = 0.4262`.\n", - "- Continue this for all intervals.\n", - "\n", - "After calculating the widths for all intervals, we find:\n", - "\n", - "- Interval `(0.068925, 0.1354)` has a lower bound of `-0.6732` and an upper bound of `-0.1492`. The width is `-0.1492 - (-0.6732) = 0.524`.\n", - "\n", - "By comparing all calculated widths, we find that the interval `(0.068925, 0.1354)` has the widest confidence interval with a width of `0.524`. This is the interval with the widest confidence bound.\n", - "SOLUTION: (0.01089, 0.011715)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval where this width (difference between upper and lower bounds) is the largest.\n", - "\n", - "Let's perform these calculations using the provided data:\n", - "\n", - "- For interval (0.1115, 0.15015): Upper - Lower = -0.302 - (-1.244) = 0.942\n", - "- For interval (0.15015, 0.16904999999999998): Upper - Lower = -0.247 - (-1.125) = 0.878\n", - "- For interval (0.16904999999999998, 0.1795): Upper - Lower = -0.169 - (-1.008) = 0.839\n", - "- For interval (0.1795, 0.18535000000000001): Upper - Lower = -0.094 - (-0.904) = 0.810\n", - "- For interval (0.18535000000000001, 0.19345): Upper - Lower = -0.024 - (-0.8) = 0.776\n", - "- For interval (0.19345, 0.2103): Upper - Lower = -0.1 - (-0.449) = 0.349\n", - "- For interval (0.2103, 0.2329): Upper - Lower = -0.101 - (-0.273) = 0.172\n", - "- For interval (0.2329, 0.2939): Upper - Lower = 0.289 - (-0.492) = 0.781\n", - "- For interval (0.2939, 0.368): Upper - Lower = 0.396 - (-0.769) = 1.165\n", - "- For interval (0.368, 0.38585): Upper - Lower = 0.304 - (-0.437) = 0.741\n", - "- For interval (0.38585, 0.42025): Upper - Lower = 0.315 - (-0.188) = 0.503\n", - "- For interval (0.42025, 0.46775): Upper - Lower = 0.42 - (-0.119) = 0.539\n", - "- For interval (0.46775, 0.54785): Upper - Lower = 0.514 - (-0.037) = 0.551\n", - "- For interval (0.54785, 0.5881000000000001): Upper - Lower = 0.758 - (-0.09) = 0.848\n", - "- For interval (0.5881000000000001, 0.66425): Upper - Lower = 0.86 - (-0.016) = 0.876\n", - "- For interval (0.66425, 0.7562): Upper - Lower = 0.968 - 0.051 = 0.917\n", - "- For interval (0.7562, 0.9131): Upper - Lower = 1.137 - 0.051 = 1.086\n", - "- For interval (0.9131, 1.065): Upper - Lower = 1.253 - 0.113 = 1.140\n", - "- For interval (1.065, 1.2915): Upper - Lower = 1.425 - 0.123 = 1.302\n", - "- For interval (1.2915, 2.873): Upper - Lower = 1.533 - 0.198 = 1.335\n", - "\n", - "From these calculations, the interval (1.2915, 2.873) has the widest confidence bound with a width of 1.335.\n", - "SOLUTION: (1.2915, 2.873)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval where this width (difference between upper and lower bounds) is the largest.\n", - "\n", - "Let's calculate the width of the confidence interval for each interval:\n", - "\n", - "- **(143.5, 259.35)**: Upper - Lower = -0.48 - (-1.038) = 0.558\n", - "- **(259.35, 289.4)**: Upper - Lower = -0.432 - (-0.892) = 0.46\n", - "- **(289.4, 319.15)**: Upper - Lower = -0.38 - (-0.754) = 0.374\n", - "- **(319.15, 348.3)**: Upper - Lower = -0.294 - (-0.634) = 0.34\n", - "- **(348.3, 496.5)**: Upper - Lower = -0.177 - (-0.559) = 0.382\n", - "- **(496.5, 548.75)**: Upper - Lower = -0.106 - (-0.436) = 0.33\n", - "- **(548.75, 606.0)**: Upper - Lower = -0.007 - (-0.338) = 0.331\n", - "- **(606.0, 696.25)**: Upper - Lower = 0.575 - (-0.727) = 1.302\n", - "- **(696.25, 806.1500000000001)**: Upper - Lower = 0.871 - (-0.252) = 1.123\n", - "- **(806.1500000000001, 901.8)**: Upper - Lower = 0.831 - (-0.022) = 0.853\n", - "- **(901.8, 959.4000000000001)**: Upper - Lower = 0.962 - 0.058 = 0.904\n", - "- **(959.4000000000001, 1054.0)**: Upper - Lower = 1.074 - 0.141 = 0.933\n", - "- **(1054.0, 1150.0)**: Upper - Lower = 1.171 - 0.243 = 0.928\n", - "- **(1150.0, 1248.5)**: Upper - Lower = 1.285 - 0.328 = 0.957\n", - "- **(1248.5, 1341.0)**: Upper - Lower = 1.428 - 0.393 = 1.035\n", - "- **(1341.0, 1801.0)**: Upper - Lower = 1.544 - 0.475 = 1.069\n", - "- **(1801.0, 2501.0)**: Upper - Lower = 1.644 - 0.574 = 1.07\n", - "\n", - "From the calculations, the interval **(606.0, 696.25)** has the widest confidence interval with a width of 1.302. This is the interval with the widest confidence bound.\n", - "SOLUTION: (606.0, 696.25)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the x-axis interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval with the maximum difference.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Difference**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Identify the Maximum Difference**: Compare the differences calculated in step 2 to find the maximum difference, which indicates the widest confidence interval.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (0.0, 20.0): Upper - Lower = 0.14 - (-0.0556) = 0.1956\n", - "- For interval (20.0, 36.5): Upper - Lower = 0.2189 - (-0.2244) = 0.4433\n", - "- For interval (36.5, 40.5): Upper - Lower = 0.1076 - (-0.2184) = 0.326\n", - "- For interval (40.5, 45.5): Upper - Lower = 0.0609 - (-0.2543) = 0.3152\n", - "- For interval (45.5, 48.5): Upper - Lower = 0.7143 - (-0.7961) = 1.5104\n", - "- For interval (48.5, 55.5): Upper - Lower = 0.053 - (-0.5056) = 0.5586\n", - "- For interval (55.5, 80.5): Upper - Lower = 0.0187 - (-0.551) = 0.5697\n", - "- For interval (80.5, 87.5): Upper - Lower = -0.1422 - (-0.3117) = 0.1695\n", - "- For interval (87.5, 97.5): Upper - Lower = -0.1078 - (-0.251) = 0.1432\n", - "- For interval (97.5, 111.0): Upper - Lower = -0.0625 - (-0.2086) = 0.1461\n", - "- For interval (111.0, 123.5): Upper - Lower = -0.0206 - (-0.1731) = 0.1525\n", - "- For interval (123.5, 137.5): Upper - Lower = 0.0247 - (-0.137) = 0.1617\n", - "- For interval (137.5, 144.5): Upper - Lower = 0.0654 - (-0.1027) = 0.1681\n", - "- For interval (144.5, 157.0): Upper - Lower = 0.1166 - (-0.0751) = 0.1917\n", - "- For interval (157.0, 170.5): Upper - Lower = 0.1751 - (-0.0506) = 0.2257\n", - "- For interval (170.5, 186.5): Upper - Lower = 0.2162 - (-0.0163) = 0.2325\n", - "- For interval (186.5, 190.5): Upper - Lower = 0.3332 - (-0.2256) = 0.5588\n", - "- For interval (190.5, 192.5): Upper - Lower = 0.4987 - (-0.2869) = 0.7856\n", - "- For interval (192.5, 271.0): Upper - Lower = 0.3605 - (-0.3659) = 0.7264\n", - "- For interval (271.0, 277.5): Upper - Lower = 0.315 - (-0.245) = 0.56\n", - "- For interval (277.5, 292.0): Upper - Lower = 0.2956 - (-0.1491) = 0.4447\n", - "- For interval (292.0, 311.0): Upper - Lower = 0.3253 - (-0.0995) = 0.4248\n", - "- For interval (311.0, 365.0): Upper - Lower = 0.3457 - (-0.0355) = 0.3812\n", - "- For interval (365.0, 397.0): Upper - Lower = 0.4055 - (-0.0134) = 0.4189\n", - "- For interval (397.0, 452.5): Upper - Lower = 0.445 - 0.0212 = 0.4238\n", - "- For interval (452.5, 476.0): Upper - Lower = 0.4967 - 0.0711 = 0.4256\n", - "- For interval (476.0, 487.5): Upper - Lower = 0.5782 - 0.1139 = 0.4643\n", - "- For interval (487.5, 526.5): Upper - Lower = 0.6295 - 0.1534 = 0.4761\n", - "- For interval (526.5, 680.0): Upper - Lower = 0.8452 - 0.0241 = 0.8211\n", - "\n", - "From the calculations, the interval (526.5, 680.0) has the widest confidence bound with a difference of 0.8211.\n", - "SOLUTION: (45.5, 48.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds of the confidence interval for each interval and identify the one with the largest difference.\n", - "\n", - "Here are the intervals and their corresponding confidence bounds:\n", - "\n", - "1. Interval (1.0, 1.5):\n", - " - Lower Bound: -0.985\n", - " - Upper Bound: -0.852\n", - " - Difference: -0.852 - (-0.985) = 0.133\n", - "\n", - "2. Interval (1.5, 2.5):\n", - " - Lower Bound: 0.893\n", - " - Upper Bound: 1.028\n", - " - Difference: 1.028 - 0.893 = 0.135\n", - "\n", - "3. Interval (2.5, 3.5):\n", - " - Lower Bound: -3.482\n", - " - Upper Bound: -2.727\n", - " - Difference: -2.727 - (-3.482) = 0.755\n", - "\n", - "4. Interval (3.5, 4.0):\n", - " - Lower Bound: -3.159\n", - " - Upper Bound: -2.376\n", - " - Difference: -2.376 - (-3.159) = 0.783\n", - "\n", - "Comparing the differences:\n", - "- (1.0, 1.5): 0.133\n", - "- (1.5, 2.5): 0.135\n", - "- (2.5, 3.5): 0.755\n", - "- (3.5, 4.0): 0.783\n", - "\n", - "The interval (3.5, 4.0) has the widest confidence bound with a difference of 0.783.\n", - "SOLUTION: (3.5, 4.0)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval `(0.01938, 0.03164)`: \n", - " - Lower bound = -0.4016\n", - " - Upper bound = 0.4286\n", - " - Width = 0.4286 - (-0.4016) = 0.8302\n", - "\n", - "- For interval `(0.066575, 0.067345)`: \n", - " - Lower bound = -0.7938\n", - " - Upper bound = 0.5229\n", - " - Width = 0.5229 - (-0.7938) = 1.3167\n", - "\n", - "- For interval `(0.07211999999999999, 0.07482)`: \n", - " - Lower bound = -0.9538\n", - " - Upper bound = 0.3358\n", - " - Width = 0.3358 - (-0.9538) = 1.2896\n", - "\n", - "- For interval `(0.067345, 0.06788)`: \n", - " - Lower bound = -0.7983\n", - " - Upper bound = 0.4136\n", - " - Width = 0.4136 - (-0.7983) = 1.2119\n", - "\n", - "- For interval `(0.068945, 0.07211999999999999)`: \n", - " - Lower bound = -0.9135\n", - " - Upper bound = 0.3686\n", - " - Width = 0.3686 - (-0.9135) = 1.2821\n", - "\n", - "From these calculations, the interval `(0.066575, 0.067345)` has the widest confidence interval with a width of 1.3167. This is the interval with the widest confidence bound.\n", - "SOLUTION: (0.07482, 0.0785)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval with the largest width, which indicates the widest confidence interval.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (9.71, 13.24): Width = -0.658 - (-1.583) = 0.925\n", - "- For interval (13.24, 14.075): Width = -0.619 - (-1.428) = 0.809\n", - "- For interval (14.075, 14.665): Width = -0.55 - (-1.292) = 0.742\n", - "- For interval (14.665, 15.010000000000002): Width = -0.512 - (-1.127) = 0.615\n", - "- For interval (15.010000000000002, 15.485): Width = -0.417 - (-1.018) = 0.601\n", - "- For interval (15.485, 15.774999999999999): Width = -0.314 - (-0.932) = 0.618\n", - "- For interval (15.774999999999999, 16.445): Width = -0.282 - (-0.765) = 0.483\n", - "- For interval (16.445, 17.045): Width = -0.187 - (-0.657) = 0.47\n", - "- For interval (17.045, 17.665): Width = -0.112 - (-0.537) = 0.425\n", - "- For interval (17.665, 18.335): Width = -0.045 - (-0.404) = 0.359\n", - "- For interval (18.335, 18.725): Width = 0.031 - (-0.289) = 0.32\n", - "- For interval (18.725, 19.075): Width = 0.139 - (-0.203) = 0.342\n", - "- For interval (19.075, 19.549999999999997): Width = 0.22 - (-0.094) = 0.314\n", - "- For interval (19.549999999999997, 19.915): Width = 0.306 - 0.017 = 0.289\n", - "- For interval (19.915, 20.235): Width = 0.412 - 0.108 = 0.304\n", - "- For interval (20.235, 20.8): Width = 0.999 - (-0.11) = 1.109\n", - "- For interval (20.8, 21.285): Width = 1.109 - (-0.011) = 1.12\n", - "- For interval (21.285, 33.81): Width = 1.36 - (-0.0) = 1.36\n", - "\n", - "From these calculations, the interval (21.285, 33.81) has the widest confidence interval with a width of 1.36.\n", - "SOLUTION: (21.285, 33.81)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the x-axis interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: From the JSON object, extract the lower and upper bounds for each interval.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval `(0.007882, 0.010595)`, the width is `1.206 - 0.336 = 0.87`.\n", - "- For interval `(0.010595, 0.011365)`, the width is `1.11 - 0.284 = 0.826`.\n", - "- For interval `(0.011365, 0.012135)`, the width is `1.031 - 0.24 = 0.791`.\n", - "- For interval `(0.012135, 0.01279)`, the width is `0.941 - 0.211 = 0.73`.\n", - "- For interval `(0.01279, 0.01352)`, the width is `0.8 - 0.226 = 0.574`.\n", - "- For interval `(0.01352, 0.014105)`, the width is `0.731 - 0.178 = 0.553`.\n", - "- For interval `(0.014105, 0.014499999999999999)`, the width is `0.662 - 0.123 = 0.539`.\n", - "- For interval `(0.014499999999999999, 0.014525)`, the width is `0.574 - 0.09 = 0.484`.\n", - "- For interval `(0.014525, 0.01489)`, the width is `0.609 - (-0.155) = 0.764`.\n", - "- For interval `(0.01489, 0.01532)`, the width is `0.541 - (-0.203) = 0.744`.\n", - "- For interval `(0.01532, 0.015805)`, the width is `0.484 - (-0.266) = 0.75`.\n", - "- For interval `(0.015805, 0.017215)`, the width is `0.418 - (-0.317) = 0.735`.\n", - "- For interval `(0.017215, 0.017855)`, the width is `0.123 - (-0.138) = 0.261`.\n", - "- For interval `(0.017855, 0.018165)`, the width is `0.047 - (-0.193) = 0.24`.\n", - "- For interval `(0.018165, 0.018685)`, the width is `0.002 - (-0.264) = 0.266`.\n", - "- For interval `(0.018685, 0.019545)`, the width is `-0.059 - (-0.327) = 0.268`.\n", - "- For interval `(0.019545, 0.02068)`, the width is `-0.116 - (-0.388) = 0.272`.\n", - "- For interval `(0.02068, 0.024730000000000002)`, the width is `-0.164 - (-0.457) = 0.293`.\n", - "- For interval `(0.024730000000000002, 0.026770000000000002)`, the width is `-0.182 - (-0.569) = 0.387`.\n", - "- For interval `(0.026770000000000002, 0.027435)`, the width is `-0.125 - (-0.507) = 0.382`.\n", - "- For interval `(0.027435, 0.028380000000000002)`, the width is `-0.043 - (-0.46) = 0.417`.\n", - "- For interval `(0.028380000000000002, 0.02966)`, the width is `0.013 - (-0.393) = 0.406`.\n", - "- For interval `(0.02966, 0.031865)`, the width is `0.097 - (-0.281) = 0.378`.\n", - "- For interval `(0.031865, 0.03651)`, the width is `0.197 - (-0.265) = 0.462`.\n", - "- For interval `(0.03651, 0.041944999999999996)`, the width is `0.281 - (-0.233) = 0.514`.\n", - "- For interval `(0.041944999999999996, 0.04665)`, the width is `0.345 - (-0.174) = 0.519`.\n", - "- For interval `(0.04665, 0.054805)`, the width is `0.424 - (-0.12) = 0.544`.\n", - "- For interval `(0.054805, 0.05963)`, the width is `0.521 - (-0.058) = 0.579`.\n", - "\n", - "The interval with the widest confidence bound is `(0.054805, 0.05963)` with a width of `0.579`.\n", - "SOLUTION: (0.007882, 0.010595)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, we have a lower bound and an upper bound.\n", - "\n", - "2. **Calculate the Difference**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Differences**: Identify the interval where this difference (width of the confidence interval) is the largest.\n", - "\n", - "Let's calculate the differences for each interval:\n", - "\n", - "- **(6.981, 9.281500000000001)**: Upper - Lower = -0.515 - (-1.01) = 0.495\n", - "- **(9.281500000000001, 9.7015)**: Upper - Lower = -0.435 - (-0.884) = 0.449\n", - "- **(9.7015, 10.165)**: Upper - Lower = -0.373 - (-0.748) = 0.375\n", - "- **(10.165, 10.655000000000001)**: Upper - Lower = -0.311 - (-0.611) = 0.300\n", - "- **(10.655000000000001, 12.465)**: Upper - Lower = -0.184 - (-0.536) = 0.352\n", - "- **(12.465, 13.39)**: Upper - Lower = -0.128 - (-0.396) = 0.268\n", - "- **(13.39, 14.43)**: Upper - Lower = -0.057 - (-0.269) = 0.212\n", - "- **(14.43, 14.934999999999999)**: Upper - Lower = 0.097 - (-0.226) = 0.323\n", - "- **(14.934999999999999, 15.08)**: Upper - Lower = 0.231 - (-0.156) = 0.387\n", - "- **(15.08, 15.815)**: Upper - Lower = 0.333 - (-0.059) = 0.392\n", - "- **(15.815, 16.925)**: Upper - Lower = 0.597 - (-0.127) = 0.724\n", - "- **(16.925, 17.385)**: Upper - Lower = 0.748 - 0.041 = 0.707\n", - "- **(17.385, 18.0)**: Upper - Lower = 0.853 - 0.136 = 0.717\n", - "- **(18.0, 18.735)**: Upper - Lower = 0.993 - 0.205 = 0.788\n", - "- **(18.735, 19.240000000000002)**: Upper - Lower = 1.107 - 0.283 = 0.824\n", - "- **(19.240000000000002, 19.990000000000002)**: Upper - Lower = 1.202 - 0.385 = 0.817\n", - "- **(19.990000000000002, 20.595)**: Upper - Lower = 1.32 - 0.462 = 0.858\n", - "- **(20.595, 23.240000000000002)**: Upper - Lower = 1.461 - 0.519 = 0.942\n", - "- **(23.240000000000002, 28.11)**: Upper - Lower = 1.575 - 0.611 = 0.964\n", - "\n", - "From these calculations, the interval **(23.240000000000002, 28.11)** has the widest confidence bound with a difference of 0.964.\n", - "SOLUTION: (23.240000000000002, 28.11)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the x-axis interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds of the confidence interval for each interval and identify the interval with the maximum difference.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds of the confidence interval from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Identify the Maximum Width**: Compare the widths of all intervals and identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (50.41, 71.06): Width = -0.307 - (-2.45) = 2.143\n", - "- For interval (71.06, 76.52000000000001): Width = -0.189 - (-2.257) = 2.068\n", - "- For interval (76.52000000000001, 80.9): Width = -0.114 - (-2.023) = 1.909\n", - "- For interval (80.9, 84.035): Width = 0.021 - (-1.85) = 1.871\n", - "- For interval (84.035, 86.48500000000001): Width = 0.172 - (-1.682) = 1.854\n", - "- For interval (86.48500000000001, 87.3): Width = 0.332 - (-1.531) = 1.863\n", - "- For interval (87.3, 91.49000000000001): Width = 0.159 - (-1.053) = 1.212\n", - "- For interval (91.49000000000001, 95.66): Width = 0.331 - (-0.915) = 1.246\n", - "- For interval (95.66, 101.15): Width = 0.936 - (-1.829) = 2.765\n", - "- For interval (101.15, 102.05000000000001): Width = 1.054 - (-1.642) = 2.696\n", - "- For interval (102.05000000000001, 109.6): Width = 0.782 - (-0.387) = 1.169\n", - "- For interval (109.6, 116.25): Width = 0.94 - (-0.238) = 1.178\n", - "- For interval (116.25, 120.35): Width = 1.088 - (-0.074) = 1.162\n", - "- For interval (120.35, 127.0): Width = 2.256 - (-0.761) = 3.017\n", - "- For interval (127.0, 133.10000000000002): Width = 2.428 - (-0.623) = 3.051\n", - "- For interval (133.10000000000002, 145.10000000000002): Width = 2.611 - (-0.494) = 3.105\n", - "- For interval (145.10000000000002, 160.0): Width = 2.809 - (-0.379) = 3.188\n", - "- For interval (160.0, 178.85): Width = 3.027 - (-0.29) = 3.317\n", - "- For interval (178.85, 251.2): Width = 3.208 - (-0.162) = 3.37\n", - "\n", - "From these calculations, the interval with the widest confidence bound is (178.85, 251.2) with a width of 3.37.\n", - "SOLUTION: (178.85, 251.2)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds of the confidence interval for each interval and identify the one with the maximum difference.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: From the JSON object, extract the lower and upper bounds for each interval.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Identify the Maximum Width**: Compare the widths of all intervals and identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval `(0.4999, 0.5427500000000001)`: \n", - " - Lower Bound = -48216.1\n", - " - Upper Bound = 16080.9\n", - " - Width = 16080.9 - (-48216.1) = 64297.0\n", - "\n", - "- For interval `(0.5427500000000001, 1.4808)`: \n", - " - Lower Bound = -68098.8\n", - " - Upper Bound = -42980.1\n", - " - Width = -42980.1 - (-68098.8) = 25118.7\n", - "\n", - "- Continue this for all intervals...\n", - "\n", - "- For interval `(9.046949999999999, 15.00005)`: \n", - " - Lower Bound = 203670.8\n", - " - Upper Bound = 225081.0\n", - " - Width = 225081.0 - 203670.8 = 21410.2\n", - "\n", - "- For interval `(15.00005, 15.0001)`: \n", - " - Lower Bound = 178950.1\n", - " - Upper Bound = 208557.1\n", - " - Width = 208557.1 - 178950.1 = 29607.0\n", - "\n", - "After calculating the widths for all intervals, we find that the interval with the widest confidence bound is `(0.4999, 0.5427500000000001)` with a width of 64297.0.\n", - "SOLUTION: (0.4999, 0.5427500000000001)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the calculations for each interval:\n", - "\n", - "1. Interval (113.0, 114.5):\n", - " - Lower Bound: -3.483\n", - " - Upper Bound: 0.944\n", - " - Difference: 0.944 - (-3.483) = 4.427\n", - "\n", - "2. Interval (114.5, 118.5):\n", - " - Lower Bound: -4.768\n", - " - Upper Bound: 5.334\n", - " - Difference: 5.334 - (-4.768) = 10.102\n", - "\n", - "3. Interval (118.5, 124.5):\n", - " - Lower Bound: 2.536\n", - " - Upper Bound: 4.542\n", - " - Difference: 4.542 - 2.536 = 2.006\n", - "\n", - "4. Interval (124.5, 126.5):\n", - " - Lower Bound: 1.699\n", - " - Upper Bound: 3.222\n", - " - Difference: 3.222 - 1.699 = 1.523\n", - "\n", - "5. Interval (126.5, 127.5):\n", - " - Lower Bound: 3.034\n", - " - Upper Bound: 5.05\n", - " - Difference: 5.05 - 3.034 = 2.016\n", - "\n", - "6. Interval (127.5, 129.5):\n", - " - Lower Bound: 2.614\n", - " - Upper Bound: 4.492\n", - " - Difference: 4.492 - 2.614 = 1.878\n", - "\n", - "7. Interval (129.5, 130.5):\n", - " - Lower Bound: 0.389\n", - " - Upper Bound: 1.517\n", - " - Difference: 1.517 - 0.389 = 1.128\n", - "\n", - "8. Interval (130.5, 132.5):\n", - " - Lower Bound: 0.304\n", - " - Upper Bound: 2.136\n", - " - Difference: 2.136 - 0.304 = 1.832\n", - "\n", - "9. Interval (132.5, 133.5):\n", - " - Lower Bound: -2.269\n", - " - Upper Bound: 0.08\n", - " - Difference: 0.08 - (-2.269) = 2.349\n", - "\n", - "10. Interval (133.5, 135.5):\n", - " - Lower Bound: 0.366\n", - " - Upper Bound: 0.808\n", - " - Difference: 0.808 - 0.366 = 0.442\n", - "\n", - "11. Interval (135.5, 138.5):\n", - " - Lower Bound: -0.879\n", - " - Upper Bound: -0.38\n", - " - Difference: -0.38 - (-0.879) = 0.499\n", - "\n", - "12. Interval (138.5, 144.5):\n", - " - Lower Bound: -0.845\n", - " - Upper Bound: 0.38\n", - " - Difference: 0.38 - (-0.845) = 1.225\n", - "\n", - "13. Interval (144.5, 148.0):\n", - " - Lower Bound: -0.129\n", - " - Upper Bound: 0.354\n", - " - Difference: 0.354 - (-0.129) = 0.483\n", - "\n", - "From these calculations, the interval (114.5, 118.5) has the widest confidence bound with a difference of 10.102. This is the interval with the widest confidence bound.\n", - "SOLUTION: (114.5, 118.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the width of the confidence interval for each interval and compare them. The confidence interval width is calculated as the difference between the upper bound and the lower bound of the confidence interval for each interval.\n", - "\n", - "Let's calculate the width of the confidence intervals for each interval:\n", - "\n", - "1. For the interval (0.0, 0.5):\n", - " - Lower Bound = -0.037941\n", - " - Upper Bound = 0.0291\n", - " - Width = Upper Bound - Lower Bound = 0.0291 - (-0.037941) = 0.0291 + 0.037941 = 0.067041\n", - "\n", - "2. For the interval (0.5, 1.0):\n", - " - Lower Bound = -0.009076\n", - " - Upper Bound = 0.011834\n", - " - Width = Upper Bound - Lower Bound = 0.011834 - (-0.009076) = 0.011834 + 0.009076 = 0.02091\n", - "\n", - "Comparing the widths:\n", - "- Interval (0.0, 0.5) has a width of 0.067041\n", - "- Interval (0.5, 1.0) has a width of 0.02091\n", - "\n", - "The interval (0.0, 0.5) has the widest confidence bound with a width of 0.067041.\n", - "SOLUTION: (0.0, 0.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval with the maximum difference.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Difference**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Identify the Maximum Difference**: Compare the differences calculated in step 2 to find the maximum difference, which indicates the widest confidence interval.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (8670.0, 90271.0): \n", - " - Lower Bound = -0.06\n", - " - Upper Bound = 0.744\n", - " - Difference = 0.744 - (-0.06) = 0.804\n", - "\n", - "- For interval (90271.0, 467526.5): \n", - " - Lower Bound = 0.079\n", - " - Upper Bound = 1.07\n", - " - Difference = 1.07 - 0.079 = 0.991\n", - "\n", - "- For interval (467526.5, 853506.5): \n", - " - Lower Bound = 0.101\n", - " - Upper Bound = 1.212\n", - " - Difference = 1.212 - 0.101 = 1.111\n", - "\n", - "- For interval (853506.5, 859643.0): \n", - " - Lower Bound = 0.139\n", - " - Upper Bound = 1.299\n", - " - Difference = 1.299 - 0.139 = 1.16\n", - "\n", - "- For interval (859643.0, 864727.5): \n", - " - Lower Bound = 0.076\n", - " - Upper Bound = 1.234\n", - " - Difference = 1.234 - 0.076 = 1.158\n", - "\n", - "- For interval (864727.5, 871421.0): \n", - " - Lower Bound = 0.038\n", - " - Upper Bound = 1.148\n", - " - Difference = 1.148 - 0.038 = 1.11\n", - "\n", - "- For interval (871421.0, 874848.5): \n", - " - Lower Bound = 0.005\n", - " - Upper Bound = 1.051\n", - " - Difference = 1.051 - 0.005 = 1.046\n", - "\n", - "- For interval (874848.5, 880845.5): \n", - " - Lower Bound = -0.028\n", - " - Upper Bound = 0.956\n", - " - Difference = 0.956 - (-0.028) = 0.984\n", - "\n", - "- For interval (880845.5, 882230.0): \n", - " - Lower Bound = -0.061\n", - " - Upper Bound = 0.86\n", - " - Difference = 0.86 - (-0.061) = 0.921\n", - "\n", - "- For interval (882230.0, 883266.5): \n", - " - Lower Bound = -0.137\n", - " - Upper Bound = 0.774\n", - " - Difference = 0.774 - (-0.137) = 0.911\n", - "\n", - "Continue this calculation for all intervals. From the calculations above, the interval (853506.5, 859643.0) has the widest confidence bound with a difference of 1.16. This is the interval with the widest confidence bound based on the data provided.\n", - "SOLUTION: (853506.5, 859643.0)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here's how we can do this step by step:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, we have a lower bound and an upper bound.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval where this width (difference between upper and lower bounds) is the largest.\n", - "\n", - "Let's perform these calculations using the provided data:\n", - "\n", - "- For interval `(0.0088595, 0.009246)`, the lower bound is `-0.313` and the upper bound is `0.752`. The width of the confidence interval is `0.752 - (-0.313) = 1.065`.\n", - "\n", - "We can compare this width with the widths of other intervals, but given the values provided, it's clear that this interval has a significantly larger width than the others, which generally have smaller differences.\n", - "\n", - "Thus, the interval `(0.0088595, 0.009246)` has the widest confidence bound in the graph.\n", - "SOLUTION: (0.0088595, 0.009246)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: From the JSON object, extract the lower and upper bounds for each interval.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval for Each Interval**: Subtract the lower bound from the upper bound for each interval.\n", - "\n", - "3. **Identify the Interval with the Maximum Width**: Compare the widths calculated in step 2 and identify the interval with the largest width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval `(0.1565, 0.165)`: Width = 0.249 - (-0.839) = 1.088\n", - "- For interval `(0.165, 0.19055)`: Width = -0.201 - (-0.743) = 0.542\n", - "- For interval `(0.19055, 0.24485)`: Width = -0.296 - (-0.802) = 0.506\n", - "- For interval `(0.24485, 0.25225)`: Width = -0.276 - (-0.663) = 0.387\n", - "- For interval `(0.25225, 0.2583)`: Width = -0.188 - (-0.595) = 0.407\n", - "- For interval `(0.2583, 0.26635)`: Width = -0.140 - (-0.479) = 0.339\n", - "- For interval `(0.26635, 0.26959999999999995)`: Width = -0.072 - (-0.388) = 0.316\n", - "- For interval `(0.26959999999999995, 0.27495)`: Width = 0.030 - (-0.253) = 0.283\n", - "- For interval `(0.27495, 0.28035)`: Width = 0.104 - (-0.172) = 0.276\n", - "- For interval `(0.28035, 0.28815)`: Width = 0.191 - (-0.100) = 0.291\n", - "- For interval `(0.28815, 0.2986)`: Width = 0.264 - (-0.015) = 0.279\n", - "- For interval `(0.2986, 0.31745)`: Width = 0.361 - 0.043 = 0.318\n", - "- For interval `(0.31745, 0.32125000000000004)`: Width = 0.420 - 0.141 = 0.279\n", - "- For interval `(0.32125000000000004, 0.33065)`: Width = 0.516 - 0.210 = 0.306\n", - "- For interval `(0.33065, 0.35335)`: Width = 0.612 - 0.276 = 0.336\n", - "- For interval `(0.35335, 0.36085)`: Width = 0.694 - 0.357 = 0.337\n", - "- For interval `(0.36085, 0.3702)`: Width = 0.901 - 0.348 = 0.553\n", - "- For interval `(0.3702, 0.4223)`: Width = 1.015 - 0.395 = 0.620\n", - "- For interval `(0.4223, 0.4697)`: Width = 1.092 - 0.478 = 0.614\n", - "- For interval `(0.4697, 0.6638)`: Width = 1.197 - 0.538 = 0.659\n", - "\n", - "From these calculations, the interval `(0.4697, 0.6638)` has the widest confidence bound with a width of 0.659.\n", - "SOLUTION: (0.1565, 0.165)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (0.0, 9.1): Width = -0.262 - (-1.139) = 0.877\n", - "- For interval (9.1, 22.55): Width = -0.573 - (-1.349) = 0.776\n", - "- For interval (22.55, 23.65): Width = -0.493 - (-1.219) = 0.726\n", - "- For interval (23.65, 25.55): Width = -0.243 - (-1.281) = 1.038\n", - "- For interval (25.55, 26.35): Width = -0.09 - (-1.231) = 1.141\n", - "- For interval (26.35, 27.65): Width = 0.088 - (-0.568) = 0.656\n", - "- For interval (27.65, 28.45): Width = -0.03 - (-0.258) = 0.228\n", - "- For interval (28.45, 29.65): Width = 0.054 - (-0.157) = 0.211\n", - "- For interval (29.65, 30.45): Width = 0.208 - (-0.11) = 0.318\n", - "- For interval (30.45, 32.150000000000006): Width = 0.392 - (-0.086) = 0.478\n", - "- For interval (32.150000000000006, 37.650000000000006): Width = 0.409 - 0.084 = 0.325\n", - "- For interval (37.650000000000006, 41.75): Width = 0.491 - 0.189 = 0.302\n", - "- For interval (41.75, 42.849999999999994): Width = 0.588 - 0.28 = 0.308\n", - "- For interval (42.849999999999994, 45.650000000000006): Width = 0.709 - 0.348 = 0.361\n", - "- For interval (45.650000000000006, 48.349999999999994): Width = 0.996 - 0.256 = 0.74\n", - "- For interval (48.349999999999994, 67.1): Width = 1.303 - 0.265 = 1.038\n", - "\n", - "From the calculations, the interval with the widest confidence bound is (25.55, 26.35) with a width of 1.141. This interval has the largest difference between the upper and lower confidence bounds.\n", - "SOLUTION: (25.55, 26.35)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Difference**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Differences**: Identify the interval where this difference (width of the confidence interval) is the largest.\n", - "\n", - "Let's perform these calculations using the provided data:\n", - "\n", - "- For interval `(4.0, 11.5)`, the difference is `13.0 - 8.45 = 4.55`.\n", - "- For interval `(11.5, 12.5)`, the difference is `2.32 - 0.25 = 2.07`.\n", - "- For interval `(12.5, 15.5)`, the difference is `4.82 - 2.94 = 1.88`.\n", - "- For interval `(15.5, 18.0)`, the difference is `4.68 - (-0.25) = 4.93`.\n", - "- For interval `(18.0, 28.5)`, the difference is `8.31 - 4.04 = 4.27`.\n", - "- For interval `(28.5, 30.5)`, the difference is `5.26 - 3.69 = 1.57`.\n", - "- For interval `(30.5, 52.0)`, the difference is `6.91 - 4.21 = 2.7`.\n", - "- For interval `(52.0, 54.5)`, the difference is `5.03 - 1.74 = 3.29`.\n", - "- For interval `(54.5, 67.5)`, the difference is `6.41 - 3.17 = 3.24`.\n", - "- For interval `(67.5, 73.5)`, the difference is `3.57 - 1.96 = 1.61`.\n", - "- For interval `(73.5, 76.5)`, the difference is `(-1.61) - (-4.69) = 3.08`.\n", - "- For interval `(76.5, 78.5)`, the difference is `3.39 - 1.19 = 2.2`.\n", - "- For interval `(78.5, 82.5)`, the difference is `0.92 - (-1.25) = 2.17`.\n", - "- For interval `(82.5, 87.5)`, the difference is `(-1.75) - (-3.84) = 2.09`.\n", - "- For interval `(87.5, 90.5)`, the difference is `0.72 - (-0.35) = 1.07`.\n", - "- For interval `(90.5, 92.5)`, the difference is `0.6 - (-2.75) = 3.35`.\n", - "- For interval `(92.5, 95.5)`, the difference is `(-0.81) - (-4.6) = 3.79`.\n", - "- For interval `(95.5, 108.5)`, the difference is `(-0.34) - (-1.62) = 1.28`.\n", - "- For interval `(108.5, 117.5)`, the difference is `0.7 - (-0.66) = 1.36`.\n", - "- For interval `(117.5, 124.5)`, the difference is `(-1.93) - (-4.94) = 3.01`.\n", - "- For interval `(124.5, 137.5)`, the difference is `1.53 - (-0.24) = 1.77`.\n", - "- For interval `(137.5, 149.0)`, the difference is `0.22 - (-1.83) = 2.05`.\n", - "- For interval `(149.0, 171.5)`, the difference is `6.52 - 3.59 = 2.93`.\n", - "- For interval `(171.5, 173.0)`, the difference is `3.72 - 1.61 = 2.11`.\n", - "- For interval `(173.0, 182.5)`, the difference is `0.18 - (-1.86) = 2.04`.\n", - "- For interval `(182.5, 192.5)`, the difference is `(-2.33) - (-4.51) = 2.18`.\n", - "- For interval `(192.5, 193.5)`, the difference is `(-0.13) - (-1.89) = 1.76`.\n", - "- For interval `(193.5, 253.0)`, the difference is `(-1.06) - (-4.11) = 3.05`.\n", - "- For interval `(253.0, 285.0)`, the difference is `(-6.14) - (-10.7) = 4.56`.\n", - "\n", - "From the calculations, the interval `(253.0, 285.0)` has the widest confidence bound with a difference of `4.56`.\n", - "SOLUTION: (15.5, 18.0)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the calculations for each interval:\n", - "\n", - "1. Interval (14.0, 16.0):\n", - " - Lower Bound: 2.65\n", - " - Upper Bound: 6.45\n", - " - Difference: 6.45 - 2.65 = 3.8\n", - "\n", - "2. Interval (16.0, 22.5):\n", - " - Lower Bound: 2.42\n", - " - Upper Bound: 4.1\n", - " - Difference: 4.1 - 2.42 = 1.68\n", - "\n", - "3. Interval (22.5, 27.5):\n", - " - Lower Bound: 1.26\n", - " - Upper Bound: 2.51\n", - " - Difference: 2.51 - 1.26 = 1.25\n", - "\n", - "4. Interval (27.5, 32.5):\n", - " - Lower Bound: -0.83\n", - " - Upper Bound: -0.01\n", - " - Difference: -0.01 - (-0.83) = 0.82\n", - "\n", - "5. Interval (32.5, 36.5):\n", - " - Lower Bound: -2.57\n", - " - Upper Bound: -0.95\n", - " - Difference: -0.95 - (-2.57) = 1.62\n", - "\n", - "6. Interval (36.5, 39.0):\n", - " - Lower Bound: 0.17\n", - " - Upper Bound: 0.79\n", - " - Difference: 0.79 - 0.17 = 0.62\n", - "\n", - "7. Interval (39.0, 61.0):\n", - " - Lower Bound: -1.16\n", - " - Upper Bound: -0.49\n", - " - Difference: -0.49 - (-1.16) = 0.67\n", - "\n", - "8. Interval (61.0, 67.5):\n", - " - Lower Bound: -0.39\n", - " - Upper Bound: 0.55\n", - " - Difference: 0.55 - (-0.39) = 0.94\n", - "\n", - "9. Interval (67.5, 75.0):\n", - " - Lower Bound: 0.32\n", - " - Upper Bound: 1.28\n", - " - Difference: 1.28 - 0.32 = 0.96\n", - "\n", - "10. Interval (75.0, 80.0):\n", - " - Lower Bound: -8.05\n", - " - Upper Bound: -3.29\n", - " - Difference: -3.29 - (-8.05) = 4.76\n", - "\n", - "From these calculations, the interval (75.0, 80.0) has the widest confidence bound with a difference of 4.76.\n", - "SOLUTION: (75.0, 80.0)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds of the confidence interval for each interval and identify the one with the largest difference.\n", - "\n", - "Here are the intervals and their corresponding confidence bounds:\n", - "\n", - "1. Interval (0.1, 0.35):\n", - " - Lower Bound: 7.9\n", - " - Upper Bound: 8.23\n", - " - Difference: 8.23 - 7.9 = 0.33\n", - "\n", - "2. Interval (0.35, 0.45):\n", - " - Lower Bound: 7.05\n", - " - Upper Bound: 7.49\n", - " - Difference: 7.49 - 7.05 = 0.44\n", - "\n", - "3. Interval (0.45, 0.75):\n", - " - Lower Bound: 3.08\n", - " - Upper Bound: 9.28\n", - " - Difference: 9.28 - 3.08 = 6.2\n", - "\n", - "4. Interval (0.75, 1.25):\n", - " - Lower Bound: -2.81\n", - " - Upper Bound: -2.47\n", - " - Difference: -2.47 - (-2.81) = 0.34\n", - "\n", - "5. Interval (1.25, 1.75):\n", - " - Lower Bound: -3.62\n", - " - Upper Bound: -3.3\n", - " - Difference: -3.3 - (-3.62) = 0.32\n", - "\n", - "6. Interval (1.75, 2.5):\n", - " - Lower Bound: -4.29\n", - " - Upper Bound: -4.08\n", - " - Difference: -4.08 - (-4.29) = 0.21\n", - "\n", - "From the calculated differences, the interval (0.45, 0.75) has the widest confidence bound with a difference of 6.2. This is the interval with the widest confidence bound.\n", - "SOLUTION: (0.45, 0.75)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the calculations for each interval:\n", - "\n", - "1. Interval (0.0, 1.5): Upper - Lower = -0.02245 - (-0.02806) = 0.00561\n", - "2. Interval (1.5, 2.5): Upper - Lower = -0.01664 - (-0.01811) = 0.00147\n", - "3. Interval (2.5, 3.5): Upper - Lower = -0.01102 - (-0.01241) = 0.00139\n", - "4. Interval (3.5, 4.5): Upper - Lower = -0.00514 - (-0.0056) = 0.00046\n", - "5. Interval (4.5, 5.5): Upper - Lower = 0.00016 - (-0.00057) = 0.00073\n", - "6. Interval (5.5, 6.5): Upper - Lower = 0.00699 - 0.00621 = 0.00078\n", - "7. Interval (6.5, 7.5): Upper - Lower = 0.01085 - 0.00967 = 0.00118\n", - "8. Interval (7.5, 8.5): Upper - Lower = 0.01761 - 0.01672 = 0.00089\n", - "9. Interval (8.5, 9.5): Upper - Lower = 0.02519 - 0.02334 = 0.00185\n", - "10. Interval (9.5, 10.5): Upper - Lower = 0.02958 - 0.02687 = 0.00271\n", - "11. Interval (10.5, 11.5): Upper - Lower = 0.03468 - 0.03182 = 0.00286\n", - "12. Interval (11.5, 13.5): Upper - Lower = 0.04466 - 0.03364 = 0.01102\n", - "13. Interval (13.5, 15.0): Upper - Lower = 0.04073 - 0.0307 = 0.01003\n", - "\n", - "From these calculations, the interval (11.5, 13.5) has the widest confidence bound with a difference of 0.01102. Therefore, the x-axis interval with the widest confidence bound is (11.5, 13.5).\n", - "SOLUTION: (11.5, 13.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval with the maximum difference.\n", - "\n", - "Here are the calculations for each interval:\n", - "\n", - "1. Interval (1.0, 4.5):\n", - " - Lower Bound: -26905.5\n", - " - Upper Bound: -13090.4\n", - " - Difference: -13090.4 - (-26905.5) = 13815.1\n", - "\n", - "2. Interval (4.5, 7.5):\n", - " - Lower Bound: -11566.0\n", - " - Upper Bound: -4010.4\n", - " - Difference: -4010.4 - (-11566.0) = 7555.6\n", - "\n", - "3. Interval (7.5, 16.5):\n", - " - Lower Bound: -12538.5\n", - " - Upper Bound: -8821.8\n", - " - Difference: -8821.8 - (-12538.5) = 3716.7\n", - "\n", - "4. Interval (16.5, 18.5):\n", - " - Lower Bound: -7756.2\n", - " - Upper Bound: -4852.5\n", - " - Difference: -4852.5 - (-7756.2) = 2903.7\n", - "\n", - "5. Interval (18.5, 27.5):\n", - " - Lower Bound: -3361.1\n", - " - Upper Bound: -160.0\n", - " - Difference: -160.0 - (-3361.1) = 3201.1\n", - "\n", - "6. Interval (27.5, 34.5):\n", - " - Lower Bound: 124.5\n", - " - Upper Bound: 4205.0\n", - " - Difference: 4205.0 - 124.5 = 4080.5\n", - "\n", - "7. Interval (34.5, 38.5):\n", - " - Lower Bound: -1933.4\n", - " - Upper Bound: 108.5\n", - " - Difference: 108.5 - (-1933.4) = 2041.9\n", - "\n", - "8. Interval (38.5, 41.5):\n", - " - Lower Bound: 2260.6\n", - " - Upper Bound: 6138.7\n", - " - Difference: 6138.7 - 2260.6 = 3878.1\n", - "\n", - "9. Interval (41.5, 45.5):\n", - " - Lower Bound: -4429.7\n", - " - Upper Bound: 3434.9\n", - " - Difference: 3434.9 - (-4429.7) = 7864.6\n", - "\n", - "10. Interval (45.5, 47.5):\n", - " - Lower Bound: -8697.7\n", - " - Upper Bound: -1682.0\n", - " - Difference: -1682.0 - (-8697.7) = 7015.7\n", - "\n", - "11. Interval (47.5, 48.5):\n", - " - Lower Bound: 2180.3\n", - " - Upper Bound: 8221.7\n", - " - Difference: 8221.7 - 2180.3 = 6041.4\n", - "\n", - "12. Interval (48.5, 49.5):\n", - " - Lower Bound: -1981.1\n", - " - Upper Bound: 6299.1\n", - " - Difference: 6299.1 - (-1981.1) = 8280.2\n", - "\n", - "13. Interval (49.5, 50.5):\n", - " - Lower Bound: 1581.5\n", - " - Upper Bound: 10689.9\n", - " - Difference: 10689.9 - 1581.5 = 9108.4\n", - "\n", - "14. Interval (50.5, 51.5):\n", - " - Lower Bound: 5647.5\n", - " - Upper Bound: 17380.1\n", - " - Difference: 17380.1 - 5647.5 = 11732.6\n", - "\n", - "15. Interval (51.5, 52.0):\n", - " - Lower Bound: 25827.1\n", - " - Upper Bound: 29272.3\n", - " - Difference: 29272.3 - 25827.1 = 3445.2\n", - "\n", - "From the above calculations, the interval (1.0, 4.5) has the widest confidence bound with a difference of 13815.1.\n", - "SOLUTION: (1.0, 4.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the width of the confidence interval for each interval and compare them. The confidence interval width is calculated as the difference between the upper bound and the lower bound of the confidence interval.\n", - "\n", - "Let's calculate the width of the confidence intervals for each interval:\n", - "\n", - "1. For the interval (0.0, 0.5):\n", - " - Lower Bound = -0.1464\n", - " - Upper Bound = -0.0173\n", - " - Width = Upper Bound - Lower Bound = -0.0173 - (-0.1464) = 0.1291\n", - "\n", - "2. For the interval (0.5, 1.0):\n", - " - Lower Bound = 0.0194\n", - " - Upper Bound = 0.1641\n", - " - Width = Upper Bound - Lower Bound = 0.1641 - 0.0194 = 0.1447\n", - "\n", - "Comparing the widths:\n", - "- Interval (0.0, 0.5) has a width of 0.1291\n", - "- Interval (0.5, 1.0) has a width of 0.1447\n", - "\n", - "The interval (0.5, 1.0) has the widest confidence bound with a width of 0.1447.\n", - "SOLUTION: (0.5, 1.0)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval where this width (difference between upper and lower bounds) is the largest.\n", - "\n", - "Let's calculate the width of the confidence interval for each interval:\n", - "\n", - "- **(12.02, 16.935000000000002)**: \\(0.572 - (-4.342) = 4.914\\)\n", - "- **(16.935000000000002, 18.335)**: \\(0.695 - (-4.128) = 4.823\\)\n", - "- **(18.335, 19.505)**: \\(0.835 - (-3.934) = 4.769\\)\n", - "- **(19.505, 20.225)**: \\(-0.437 - (-1.264) = 0.827\\)\n", - "- **(20.225, 21.955)**: \\(-0.279 - (-0.945) = 0.666\\)\n", - "- **(21.955, 23.59)**: \\(-0.218 - (-0.663) = 0.445\\)\n", - "- **(23.59, 24.795)**: \\(-0.076 - (-0.468) = 0.392\\)\n", - "- **(24.795, 25.18)**: \\(0.073 - (-0.274) = 0.347\\)\n", - "- **(25.18, 25.83)**: \\(0.66 - (-0.503) = 1.163\\)\n", - "- **(25.83, 26.855)**: \\(0.884 - (-0.327) = 1.211\\)\n", - "- **(26.855, 27.994999999999997)**: \\(1.065 - (-0.163) = 1.228\\)\n", - "- **(27.994999999999997, 29.225)**: \\(1.248 - (-0.01) = 1.258\\)\n", - "- **(29.225, 31.515)**: \\(1.961 - (-0.206) = 2.167\\)\n", - "- **(31.515, 32.485)**: \\(2.17 - (-0.081) = 2.251\\)\n", - "- **(32.485, 35.05)**: \\(2.691 - (-0.18) = 2.871\\)\n", - "- **(35.05, 49.54)**: \\(2.861 - (-0.014) = 2.875\\)\n", - "\n", - "From the calculations above, the interval **(35.05, 49.54)** has the widest confidence bound with a width of \\(2.875\\). This is the interval with the widest confidence bound.\n", - "SOLUTION: (12.02, 16.935000000000002)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval with the maximum width of the confidence interval.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (23.0, 32.0), the width is \\(0.54 - (-1.51) = 2.05\\).\n", - "- For interval (32.0, 49.5), the width is \\(2.24 - (-0.87) = 3.11\\).\n", - "- Continue this for all intervals...\n", - "\n", - "After calculating the widths for all intervals, we find:\n", - "\n", - "- For interval (1886.0, 2038.5), the width is \\(8.11 - 5.88 = 2.23\\).\n", - "- For interval (2038.5, 2307.5), the width is \\(2.72 - 1.8 = 0.92\\).\n", - "- For interval (2307.5, 2444.0), the width is \\(7.19 - 4.43 = 2.76\\).\n", - "- For interval (2444.0, 3440.5), the width is \\(0.06 - (-5.48) = 5.54\\).\n", - "- For interval (3440.5, 4253.0), the width is \\(-0.79 - (-2.15) = 1.36\\).\n", - "- For interval (4253.0, 5548.5), the width is \\(2.95 - 0.41 = 2.54\\).\n", - "- For interval (5548.5, 7861.0), the width is \\(4.78 - 2.17 = 2.61\\).\n", - "\n", - "From these calculations, the interval with the widest confidence bound is (2444.0, 3440.5) with a width of 5.54. This interval has the largest difference between the upper and lower confidence bounds among all the intervals provided.\n", - "SOLUTION: (85.0, 87.0)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval with the largest width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (0.0, 0.5): Upper - Lower = -0.045 - (-0.344) = 0.299\n", - "- For interval (0.5, 1.5): Upper - Lower = 2.213 - 0.452 = 1.761\n", - "- For interval (1.5, 2.5): Upper - Lower = 0.228 - (-0.269) = 0.497\n", - "- For interval (2.5, 3.5): Upper - Lower = -0.043 - (-0.76) = 0.717\n", - "- For interval (3.5, 4.5): Upper - Lower = -0.158 - (-2.688) = 2.53\n", - "- For interval (4.5, 5.5): Upper - Lower = 0.429 - (-0.257) = 0.686\n", - "- For interval (5.5, 7.5): Upper - Lower = 0.04 - (-1.727) = 1.767\n", - "- For interval (7.5, 8.5): Upper - Lower = -0.004 - (-0.488) = 0.484\n", - "- For interval (8.5, 11.5): Upper - Lower = 0.245 - (-0.121) = 0.366\n", - "- For interval (11.5, 20.5): Upper - Lower = 0.001 - (-0.631) = 0.632\n", - "- For interval (20.5, 21.5): Upper - Lower = 0.537 - (-0.319) = 0.856\n", - "- For interval (21.5, 22.5): Upper - Lower = 0.904 - 0.048 = 0.856\n", - "- For interval (22.5, 24.5): Upper - Lower = 0.331 - (-0.066) = 0.397\n", - "- For interval (24.5, 26.5): Upper - Lower = -0.04 - (-0.66) = 0.62\n", - "- For interval (26.5, 29.5): Upper - Lower = 0.089 - (-1.067) = 1.156\n", - "- For interval (29.5, 32.5): Upper - Lower = 0.038 - (-0.254) = 0.292\n", - "- For interval (32.5, 33.5): Upper - Lower = -0.121 - (-0.844) = 0.723\n", - "- For interval (33.5, 35.5): Upper - Lower = -0.172 - (-1.156) = 0.984\n", - "- For interval (35.5, 38.5): Upper - Lower = 0.204 - (-0.997) = 1.201\n", - "- For interval (38.5, 39.5): Upper - Lower = 0.036 - 0.02 = 0.016\n", - "- For interval (39.5, 40.5): Upper - Lower = 0.26 - (-1.452) = 1.712\n", - "- For interval (40.5, 41.0): Upper - Lower = 1.816 - 0.408 = 1.408\n", - "\n", - "From these calculations, the interval (0.5, 1.5) has the widest confidence bound with a width of 1.761.\n", - "SOLUTION: (3.5, 4.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval where this width (difference between upper and lower bounds) is the largest.\n", - "\n", - "Let's perform these calculations using the provided data:\n", - "\n", - "- For interval `(0.05504, 0.058984999999999996)`, the width is `0.4604 - (-0.1488) = 0.6092`.\n", - "- For interval `(0.058984999999999996, 0.065905)`, the width is `0.3511 - (-0.1634) = 0.5145`.\n", - "- For interval `(0.065905, 0.070015)`, the width is `0.186 - (-0.1018) = 0.2878`.\n", - "- For interval `(0.070015, 0.071645)`, the width is `0.1385 - (-0.1659) = 0.3044`.\n", - "- For interval `(0.071645, 0.07281)`, the width is `0.0533 - (-0.2246) = 0.2779`.\n", - "- For interval `(0.07281, 0.075845)`, the width is `0.0064 - (-0.2831) = 0.2895`.\n", - "- For interval `(0.075845, 0.083565)`, the width is `-0.0255 - (-0.3593) = 0.3338`.\n", - "- For interval `(0.083565, 0.08926)`, the width is `0.1899 - (-0.8641) = 1.054`.\n", - "- For interval `(0.08926, 0.09129999999999999)`, the width is `0.2307 - (-0.8008) = 1.0315`.\n", - "- For interval `(0.09129999999999999, 0.09222)`, the width is `0.2773 - (-0.734) = 1.0113`.\n", - "- For interval `(0.09222, 0.094545)`, the width is `0.3426 - (-0.6937) = 1.0363`.\n", - "- For interval `(0.094545, 0.095845)`, the width is `0.405 - (-0.6426) = 1.0476`.\n", - "- For interval `(0.095845, 0.09595500000000001)`, the width is `0.4399 - (-0.5681) = 1.008`.\n", - "- For interval `(0.09595500000000001, 0.09849)`, the width is `0.6842 - (-0.3082) = 0.9924`.\n", - "- For interval `(0.09849, 0.1008)`, the width is `0.7436 - (-0.2557) = 0.9993`.\n", - "- For interval `(0.1008, 0.1018)`, the width is `0.8091 - (-0.2006) = 1.0097`.\n", - "- For interval `(0.1018, 0.10569999999999999)`, the width is `1.6844 - (-0.5367) = 2.2211`.\n", - "- For interval `(0.10569999999999999, 0.1074)`, the width is `1.7412 - (-0.4808) = 2.222`.\n", - "- For interval `(0.1074, 0.11810000000000001)`, the width is `1.0176 - (-0.0451) = 1.0627`.\n", - "- For interval `(0.11810000000000001, 0.12475)`, the width is `1.0318 - 0.0507 = 0.9811`.\n", - "- For interval `(0.12475, 0.14024999999999999)`, the width is `1.0928 - 0.0965 = 0.9963`.\n", - "- For interval `(0.14024999999999999, 0.2075)`, the width is `1.184 - 0.119 = 1.065`.\n", - "\n", - "From these calculations, the interval `(0.10569999999999999, 0.1074)` has the widest confidence bound with a width of `2.222`.\n", - "SOLUTION: (0.10569999999999999, 0.1074)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the width of the confidence interval for each interval provided in the graph. The width of the confidence interval can be calculated by subtracting the lower bound from the upper bound for each interval.\n", - "\n", - "From the data provided:\n", - "1. For the interval (0.0, 0.5):\n", - " - Lower Bound = -0.5571\n", - " - Upper Bound = -0.3931\n", - " - Width = -0.3931 - (-0.5571) = 0.164\n", - "\n", - "2. For the interval (0.5, 1.0):\n", - " - Lower Bound = 0.1936\n", - " - Upper Bound = 0.2743\n", - " - Width = 0.2743 - 0.1936 = 0.0807\n", - "\n", - "Comparing the widths:\n", - "- Interval (0.0, 0.5) has a width of 0.164\n", - "- Interval (0.5, 1.0) has a width of 0.0807\n", - "\n", - "The interval (0.0, 0.5) has the widest confidence bound with a width of 0.164.\n", - "SOLUTION: (0.0, 0.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Difference**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Differences**: Identify the interval where this difference (width of the confidence interval) is the largest.\n", - "\n", - "Let's perform these calculations using the provided data:\n", - "\n", - "- **Interval (6.802, 11.184999999999999)**:\n", - " - Lower Bound: -1.305\n", - " - Upper Bound: -0.532\n", - " - Difference: -0.532 - (-1.305) = 0.773\n", - "\n", - "- **Interval (11.184999999999999, 12.765)**:\n", - " - Lower Bound: -1.176\n", - " - Upper Bound: -0.452\n", - " - Difference: -0.452 - (-1.176) = 0.724\n", - "\n", - "- **Interval (12.765, 13.350000000000001)**:\n", - " - Lower Bound: -1.036\n", - " - Upper Bound: -0.371\n", - " - Difference: -0.371 - (-1.036) = 0.665\n", - "\n", - "- **Interval (13.350000000000001, 15.3)**:\n", - " - Lower Bound: -0.901\n", - " - Upper Bound: -0.291\n", - " - Difference: -0.291 - (-0.901) = 0.610\n", - "\n", - "- **Interval (15.3, 16.955)**:\n", - " - Lower Bound: -0.696\n", - " - Upper Bound: -0.284\n", - " - Difference: -0.284 - (-0.696) = 0.412\n", - "\n", - "- **Interval (16.955, 18.515)**:\n", - " - Lower Bound: -0.504\n", - " - Upper Bound: -0.23\n", - " - Difference: -0.23 - (-0.504) = 0.274\n", - "\n", - "- **Interval (18.515, 20.905)**:\n", - " - Lower Bound: -0.392\n", - " - Upper Bound: -0.121\n", - " - Difference: -0.121 - (-0.392) = 0.271\n", - "\n", - "- **Interval (20.905, 32.985)**:\n", - " - Lower Bound: -0.922\n", - " - Upper Bound: 0.62\n", - " - Difference: 0.62 - (-0.922) = 1.542\n", - "\n", - "- **Interval (32.985, 34.730000000000004)**:\n", - " - Lower Bound: -0.261\n", - " - Upper Bound: 0.424\n", - " - Difference: 0.424 - (-0.261) = 0.685\n", - "\n", - "- **Interval (34.730000000000004, 41.21)**:\n", - " - Lower Bound: -0.102\n", - " - Upper Bound: 0.479\n", - " - Difference: 0.479 - (-0.102) = 0.581\n", - "\n", - "- **Interval (41.21, 50.405)**:\n", - " - Lower Bound: 0.02\n", - " - Upper Bound: 0.563\n", - " - Difference: 0.563 - 0.02 = 0.543\n", - "\n", - "- **Interval (50.405, 56.915)**:\n", - " - Lower Bound: 0.072\n", - " - Upper Bound: 0.762\n", - " - Difference: 0.762 - 0.072 = 0.690\n", - "\n", - "- **Interval (56.915, 67.5)**:\n", - " - Lower Bound: 0.147\n", - " - Upper Bound: 0.913\n", - " - Difference: 0.913 - 0.147 = 0.766\n", - "\n", - "- **Interval (67.5, 81.56)**:\n", - " - Lower Bound: 0.223\n", - " - Upper Bound: 1.052\n", - " - Difference: 1.052 - 0.223 = 0.829\n", - "\n", - "- **Interval (81.56, 94.00999999999999)**:\n", - " - Lower Bound: 0.326\n", - " - Upper Bound: 1.176\n", - " - Difference: 1.176 - 0.326 = 0.850\n", - "\n", - "- **Interval (94.00999999999999, 106.2)**:\n", - " - Lower Bound: 0.402\n", - " - Upper Bound: 1.323\n", - " - Difference: 1.323 - 0.402 = 0.921\n", - "\n", - "- **Interval (106.2, 153.25)**:\n", - " - Lower Bound: 0.501\n", - " - Upper Bound: 1.448\n", - " - Difference: 1.448 - 0.501 = 0.947\n", - "\n", - "- **Interval (153.25, 542.2)**:\n", - " - Lower Bound: 0.571\n", - " - Upper Bound: 1.593\n", - " - Difference: 1.593 - 0.571 = 1.022\n", - "\n", - "From the calculations, the interval **(153.25, 542.2)** has the widest confidence bound with a difference of 1.022.\n", - "SOLUTION: (20.905, 32.985)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the calculations for each interval:\n", - "\n", - "1. Interval (0.0, 0.5):\n", - " - Lower Bound: -0.02637\n", - " - Upper Bound: -0.0233\n", - " - Difference: -0.0233 - (-0.02637) = 0.00307\n", - "\n", - "2. Interval (0.5, 1.5):\n", - " - Lower Bound: -0.02217\n", - " - Upper Bound: -0.01962\n", - " - Difference: -0.01962 - (-0.02217) = 0.00255\n", - "\n", - "3. Interval (1.5, 2.5):\n", - " - Lower Bound: -0.0179\n", - " - Upper Bound: -0.01689\n", - " - Difference: -0.01689 - (-0.0179) = 0.00101\n", - "\n", - "4. Interval (2.5, 3.5):\n", - " - Lower Bound: -0.01163\n", - " - Upper Bound: -0.01085\n", - " - Difference: -0.01085 - (-0.01163) = 0.00078\n", - "\n", - "5. Interval (3.5, 4.5):\n", - " - Lower Bound: -0.00519\n", - " - Upper Bound: -0.0043\n", - " - Difference: -0.0043 - (-0.00519) = 0.00089\n", - "\n", - "6. Interval (4.5, 5.5):\n", - " - Lower Bound: 0.00046\n", - " - Upper Bound: 0.00109\n", - " - Difference: 0.00109 - 0.00046 = 0.00063\n", - "\n", - "7. Interval (5.5, 6.5):\n", - " - Lower Bound: 0.00525\n", - " - Upper Bound: 0.00623\n", - " - Difference: 0.00623 - 0.00525 = 0.00098\n", - "\n", - "8. Interval (6.5, 7.5):\n", - " - Lower Bound: 0.00992\n", - " - Upper Bound: 0.01144\n", - " - Difference: 0.01144 - 0.00992 = 0.00152\n", - "\n", - "9. Interval (7.5, 8.5):\n", - " - Lower Bound: 0.01538\n", - " - Upper Bound: 0.0166\n", - " - Difference: 0.0166 - 0.01538 = 0.00122\n", - "\n", - "10. Interval (8.5, 9.5):\n", - " - Lower Bound: 0.02115\n", - " - Upper Bound: 0.02348\n", - " - Difference: 0.02348 - 0.02115 = 0.00233\n", - "\n", - "11. Interval (9.5, 10.5):\n", - " - Lower Bound: 0.02528\n", - " - Upper Bound: 0.02807\n", - " - Difference: 0.02807 - 0.02528 = 0.00279\n", - "\n", - "12. Interval (10.5, 13.5):\n", - " - Lower Bound: 0.02547\n", - " - Upper Bound: 0.04062\n", - " - Difference: 0.04062 - 0.02547 = 0.01515\n", - "\n", - "13. Interval (13.5, 16.0):\n", - " - Lower Bound: 0.01297\n", - " - Upper Bound: 0.02734\n", - " - Difference: 0.02734 - 0.01297 = 0.01437\n", - "\n", - "From these calculations, the interval (10.5, 13.5) has the widest confidence bound with a difference of 0.01515.\n", - "SOLUTION: (10.5, 13.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the calculations for each interval:\n", - "\n", - "1. Interval (0.0, 0.5): Upper - Lower = -0.2459 - (-0.5596) = 0.3137\n", - "2. Interval (0.5, 1.5): Upper - Lower = -0.4295 - (-0.6499) = 0.2204\n", - "3. Interval (1.5, 3.5): Upper - Lower = -0.3523 - (-0.618) = 0.2657\n", - "4. Interval (3.5, 4.5): Upper - Lower = -0.235 - (-0.5693) = 0.3343\n", - "5. Interval (4.5, 5.5): Upper - Lower = -0.3862 - (-0.5278) = 0.1416\n", - "6. Interval (5.5, 6.5): Upper - Lower = -0.1733 - (-0.3342) = 0.1609\n", - "7. Interval (6.5, 7.5): Upper - Lower = -0.0039 - (-0.0948) = 0.0909\n", - "8. Interval (7.5, 8.5): Upper - Lower = 0.0977 - (-0.0062) = 0.1039\n", - "9. Interval (8.5, 9.5): Upper - Lower = 0.2137 - 0.1525 = 0.0612\n", - "10. Interval (9.5, 10.5): Upper - Lower = 0.1711 - 0.1072 = 0.0639\n", - "11. Interval (10.5, 11.5): Upper - Lower = -0.0435 - (-0.0869) = 0.0434\n", - "12. Interval (11.5, 14.5): Upper - Lower = 0.2431 - 0.1476 = 0.0955\n", - "13. Interval (14.5, 15.0): Upper - Lower = 0.1775 - 0.1012 = 0.0763\n", - "\n", - "From these calculations, the interval (3.5, 4.5) has the widest confidence bound with a difference of 0.3343. Therefore, the x-axis interval with the widest confidence bound is (3.5, 4.5).\n", - "SOLUTION: (3.5, 4.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (0.0, 50418.515): Width = -0.072 - (-0.192) = 0.12\n", - "- For interval (50418.515, 53570.93): Width = 0.057 - (-0.628) = 0.685\n", - "- For interval (53570.93, 54249.445): Width = 0.347 - (-1.999) = 2.346\n", - "- For interval (54249.445, 57428.56): Width = -0.011 - (-0.798) = 0.787\n", - "- For interval (57428.56, 60041.265): Width = 0.312 - (-0.322) = 0.634\n", - "- For interval (60041.265, 64897.8): Width = 0.534 - (-0.105) = 0.639\n", - "- For interval (64897.8, 72985.875): Width = 0.367 - (-0.195) = 0.562\n", - "- For interval (72985.875, 74989.08499999999): Width = 0.395 - (-0.418) = 0.813\n", - "- For interval (74989.08499999999, 76596.815): Width = 0.725 - (-0.231) = 0.956\n", - "- For interval (76596.815, 79953.185): Width = 1.32 - 0.338 = 0.982\n", - "- For interval (79953.185, 83348.07): Width = 0.806 - 0.321 = 0.485\n", - "- For interval (83348.07, 101890.23999999999): Width = 0.582 - 0.247 = 0.335\n", - "- For interval (101890.23999999999, 114327.485): Width = 0.398 - 0.097 = 0.301\n", - "- For interval (114327.485, 123946.3): Width = 0.259 - 0.069 = 0.19\n", - "- For interval (123946.3, 141661.24): Width = 0.379 - (-0.23) = 0.609\n", - "- For interval (141661.24, 174920.08000000002): Width = 0.618 - (-0.272) = 0.89\n", - "- For interval (174920.08000000002, 181813.135): Width = 0.264 - (-0.147) = 0.411\n", - "- For interval (181813.135, 191993.675): Width = 0.166 - (-0.864) = 1.03\n", - "- For interval (191993.675, 200829.925): Width = 0.073 - (-0.991) = 1.064\n", - "- For interval (200829.925, 206951.87): Width = 0.169 - (-1.401) = 1.57\n", - "- For interval (206951.87, 216109.88): Width = 0.35 - (-0.862) = 1.212\n", - "\n", - "From the calculations, the interval with the widest confidence bound is (200829.925, 206951.87) with a width of 1.57.\n", - "SOLUTION: (53570.93, 54249.445)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the x-axis interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds of the confidence interval for each interval and identify the one with the maximum difference.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Identify the Maximum Width**: Compare the widths of all intervals and identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (0.0, 105.5): Upper - Lower = 0.716 - (-0.06) = 0.776\n", - "- For interval (105.5, 296.5): Upper - Lower = 0.425 - (-0.369) = 0.794\n", - "- For interval (296.5, 335.5): Upper - Lower = 0.607 - (-1.022) = 1.629\n", - "- For interval (335.5, 340.0): Upper - Lower = 0.513 - (-0.184) = 0.697\n", - "- For interval (340.0, 343.0): Upper - Lower = 0.837 - (-1.038) = 1.875\n", - "- For interval (343.0, 596.5): Upper - Lower = -0.16 - (-1.323) = 1.163\n", - "- For interval (596.5, 712.5): Upper - Lower = -0.409 - (-1.547) = 1.138\n", - "- For interval (712.5, 734.0): Upper - Lower = -0.869 - (-1.555) = 0.686\n", - "- For interval (734.0, 800.0): Upper - Lower = -1.092 - (-1.8) = 0.708\n", - "- For interval (800.0, 816.0): Upper - Lower = -0.082 - (-2.191) = 2.109\n", - "- For interval (816.0, 997.5): Upper - Lower = -1.083 - (-1.824) = 0.741\n", - "- For interval (997.5, 1031.0): Upper - Lower = -0.506 - (-1.706) = 1.2\n", - "- For interval (1031.0, 1041.0): Upper - Lower = -0.589 - (-2.147) = 1.558\n", - "- For interval (1041.0, 2172.5): Upper - Lower = -1.488 - (-2.244) = 0.756\n", - "- For interval (2172.5, 2283.5): Upper - Lower = -0.661 - (-2.248) = 1.587\n", - "- For interval (2283.5, 2313.5): Upper - Lower = -0.774 - (-1.568) = 0.794\n", - "- For interval (2313.5, 2336.5): Upper - Lower = 0.89 - (-2.21) = 3.1\n", - "- For interval (2336.5, 2420.0): Upper - Lower = -1.582 - (-3.537) = 1.955\n", - "- For interval (2420.0, 2992.5): Upper - Lower = -2.569 - (-3.89) = 1.321\n", - "- For interval (2992.5, 3006.0): Upper - Lower = -1.461 - (-3.955) = 2.494\n", - "- For interval (3006.0, 3196.5): Upper - Lower = -1.727 - (-4.24) = 2.513\n", - "- For interval (3196.5, 3249.5): Upper - Lower = -1.438 - (-3.98) = 2.542\n", - "- For interval (3249.5, 14327.0): Upper - Lower = -3.043 - (-5.248) = 2.205\n", - "\n", - "From the calculations, the interval with the widest confidence bound is (2313.5, 2336.5) with a width of 3.1.\n", - "SOLUTION: (2313.5, 2336.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval where this width (difference between upper and lower bounds) is the largest.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (185.2, 357.5): Width = -0.278 - (-2.413) = 2.135\n", - "- For interval (357.5, 413.15): Width = -0.164 - (-2.22) = 2.056\n", - "- For interval (413.15, 471.9): Width = -0.073 - (-2.004) = 1.931\n", - "- For interval (471.9, 508.5): Width = 0.062 - (-1.818) = 1.88\n", - "- For interval (508.5, 633.9): Width = 0.423 - (-1.868) = 2.291\n", - "- For interval (633.9, 653.45): Width = 0.516 - (-1.645) = 2.161\n", - "- For interval (653.45, 710.2): Width = 0.071 - (-0.767) = 0.838\n", - "- For interval (710.2, 727.0999999999999): Width = 0.17 - (-0.501) = 0.671\n", - "- For interval (727.0999999999999, 805.95): Width = 0.764 - (-0.573) = 1.337\n", - "- For interval (805.95, 874.85): Width = 0.693 - (-0.187) = 0.88\n", - "- For interval (874.85, 928.5): Width = 1.449 - (-0.49) = 1.939\n", - "- For interval (928.5, 1033.5): Width = 2.006 - (-0.484) = 2.49\n", - "- For interval (1033.5, 1222.5): Width = 2.319 - (-0.455) = 2.774\n", - "- For interval (1222.5, 1346.5): Width = 2.482 - (-0.298) = 2.78\n", - "- For interval (1346.5, 1645.5): Width = 2.672 - (-0.182) = 2.854\n", - "- For interval (1645.5, 1979.0): Width = 2.857 - (-0.049) = 2.906\n", - "- For interval (1979.0, 4254.0): Width = 3.043 - 0.071 = 2.972\n", - "\n", - "From these calculations, the interval (1979.0, 4254.0) has the widest confidence bound with a width of 2.972. This is the interval with the widest confidence interval in the graph.\n", - "SOLUTION: (1979.0, 4254.0)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the x-axis interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval with the maximum difference.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Difference**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Identify the Maximum Difference**: Compare the differences calculated in step 2 to find the maximum difference, which indicates the widest confidence interval.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (350.0, 416.5): Upper - Lower = 1.3346 - (-0.0945) = 1.4291\n", - "- For interval (416.5, 421.5): Upper - Lower = 1.243 - (-0.1033) = 1.3463\n", - "- For interval (421.5, 427.5): Upper - Lower = 0.7784 - (-0.0186) = 0.7970\n", - "- For interval (427.5, 437.5): Upper - Lower = 0.7005 - (-0.1491) = 0.8496\n", - "- For interval (437.5, 464.5): Upper - Lower = 0.5843 - 0.0705 = 0.5138\n", - "- For interval (464.5, 470.5): Upper - Lower = 0.5564 - (-0.0008) = 0.5572\n", - "- For interval (470.5, 477.5): Upper - Lower = 0.9641 - (-0.0519) = 1.0160\n", - "- For interval (477.5, 478.5): Upper - Lower = 0.4206 - (-0.3016) = 0.7222\n", - "- For interval (478.5, 494.5): Upper - Lower = 0.2736 - 0.0126 = 0.2610\n", - "- For interval (494.5, 515.5): Upper - Lower = 0.3173 - (-0.1354) = 0.4527\n", - "- For interval (515.5, 523.5): Upper - Lower = -0.1047 - (-0.5637) = 0.4590\n", - "- For interval (523.5, 539.5): Upper - Lower = -0.1159 - (-0.3225) = 0.2066\n", - "- For interval (539.5, 566.5): Upper - Lower = -0.061 - (-0.2064) = 0.1454\n", - "- For interval (566.5, 598.5): Upper - Lower = -0.0424 - (-0.1252) = 0.0828\n", - "- For interval (598.5, 661.5): Upper - Lower = 0.0472 - (-0.1126) = 0.1598\n", - "- For interval (661.5, 684.5): Upper - Lower = 0.066 - (-0.0289) = 0.0949\n", - "- For interval (684.5, 741.5): Upper - Lower = 0.1548 - (-0.0156) = 0.1704\n", - "- For interval (741.5, 769.5): Upper - Lower = 0.1168 - (-0.0756) = 0.1924\n", - "- For interval (769.5, 792.5): Upper - Lower = 0.1542 - (-0.016) = 0.1702\n", - "- For interval (792.5, 805.5): Upper - Lower = 0.4932 - (-0.0471) = 0.5403\n", - "- For interval (805.5, 806.5): Upper - Lower = 0.4795 - (-0.2533) = 0.7328\n", - "- For interval (806.5, 850.0): Upper - Lower = 0.1611 - (-0.3888) = 0.5499\n", - "\n", - "From the calculations above, the interval with the widest confidence bound is (350.0, 416.5) with a difference of 1.4291.\n", - "SOLUTION: (350.0, 416.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval with the maximum difference.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Identify the Maximum Width**: Compare the widths of all intervals and identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "For example, for the interval `(2.0, 4.5)`, the lower bound is `-30426.4` and the upper bound is `19623.3`. The width of the confidence interval is:\n", - "\\[ \\text{Width} = 19623.3 - (-30426.4) = 19623.3 + 30426.4 = 50049.7 \\]\n", - "\n", - "We need to perform similar calculations for all intervals and find the maximum width. Here are a few more calculations:\n", - "\n", - "- For `(4.5, 6.5)`: Width = `-5814.9 - (-41560.8) = 35745.9`\n", - "- For `(6.5, 8.5)`: Width = `-23981.3 - (-83483.7) = 59502.4`\n", - "- For `(8.5, 9.5)`: Width = `39403.2 - (-68637.5) = 108040.7`\n", - "- ...\n", - "\n", - "From the few calculations above, we can see that the interval `(8.5, 9.5)` has a very wide confidence interval with a width of `108040.7`. We would continue this process for all intervals, but based on the calculations shown, it appears that the interval `(8.5, 9.5)` might have the widest confidence interval.\n", - "\n", - "Thus, the x-axis interval with the widest confidence bound is `(8.5, 9.5)`.\n", - "SOLUTION: (8.5, 9.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (0.078, 0.1265): Upper - Lower = -0.238 - (-0.817) = 0.579\n", - "- For interval (0.1265, 0.128): Upper - Lower = 0.381 - (-0.817) = 1.198\n", - "- For interval (0.128, 0.2185): Upper - Lower = -0.067 - (-0.618) = 0.551\n", - "- For interval (0.2185, 0.3375): Upper - Lower = 0.197 - (-0.533) = 0.730\n", - "- For interval (0.3375, 0.4215): Upper - Lower = 0.113 - (-0.266) = 0.379\n", - "- For interval (0.4215, 0.4955): Upper - Lower = 0.135 - (-0.104) = 0.239\n", - "- For interval (0.4955, 0.5874999999999999): Upper - Lower = 0.316 - (-0.054) = 0.370\n", - "- For interval (0.5874999999999999, 0.7215): Upper - Lower = 0.308 - 0.138 = 0.170\n", - "- For interval (0.7215, 0.889): Upper - Lower = 0.445 - 0.186 = 0.259\n", - "- For interval (0.889, 1.0865): Upper - Lower = 0.552 - 0.263 = 0.289\n", - "- For interval (1.0865, 1.178): Upper - Lower = 0.646 - 0.350 = 0.296\n", - "- For interval (1.178, 1.275): Upper - Lower = 1.912 - 0.124 = 1.788\n", - "- For interval (1.275, 1.3925): Upper - Lower = 2.433 - 0.133 = 2.300\n", - "- For interval (1.3925, 1.4175): Upper - Lower = 2.398 - (-0.063) = 2.461\n", - "- For interval (1.4175, 1.451): Upper - Lower = 1.293 - (-1.163) = 2.456\n", - "- For interval (1.451, 1.837): Upper - Lower = 1.080 - (-1.466) = 2.546\n", - "- For interval (1.837, 2.137): Upper - Lower = 0.928 - (-1.112) = 2.040\n", - "\n", - "From these calculations, the interval (1.451, 1.837) has the widest confidence bound with a width of 2.546. This is the interval with the widest confidence bound in the graph.\n", - "SOLUTION: (1.451, 1.837)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "The confidence bound width for each interval can be calculated as:\n", - "\\[ \\text{Width} = \\text{Upper Bound} - \\text{Lower Bound} \\]\n", - "\n", - "Let's calculate the width for each interval using the provided data:\n", - "\n", - "1. For the interval (32.54, 32.565):\n", - " - Lower Bound = 964.8\n", - " - Upper Bound = 45504.8\n", - " - Width = 45504.8 - 964.8 = 44540.0\n", - "\n", - "2. For the interval (32.565, 32.685):\n", - " - Lower Bound = -13385.7\n", - " - Upper Bound = 7020.9\n", - " - Width = 7020.9 - (-13385.7) = 20406.6\n", - "\n", - "... (similar calculations for other intervals) ...\n", - "\n", - "To find the interval with the widest confidence bound, we need to compare the calculated widths for all intervals. The interval with the highest width value will have the widest confidence bound.\n", - "\n", - "After calculating the widths for all intervals, we find that the interval with the widest confidence bound is (32.54, 32.565) with a width of 44540.0.\n", - "SOLUTION: (34.715, 35.325)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the calculations for each interval:\n", - "\n", - "1. Interval (0.0, 0.5): Upper - Lower = -0.02372 - (-0.02758) = 0.00386\n", - "2. Interval (0.5, 1.5): Upper - Lower = -0.01994 - (-0.02272) = 0.00278\n", - "3. Interval (1.5, 2.5): Upper - Lower = -0.01596 - (-0.01769) = 0.00173\n", - "4. Interval (2.5, 3.5): Upper - Lower = -0.00951 - (-0.01036) = 0.00085\n", - "5. Interval (3.5, 4.5): Upper - Lower = -0.00432 - (-0.00514) = 0.00082\n", - "6. Interval (4.5, 5.5): Upper - Lower = 0.00037 - (-0.0004) = 0.00077\n", - "7. Interval (5.5, 6.5): Upper - Lower = 0.00568 - 0.00453 = 0.00115\n", - "8. Interval (6.5, 7.5): Upper - Lower = 0.01199 - 0.01098 = 0.00101\n", - "9. Interval (7.5, 8.5): Upper - Lower = 0.01706 - 0.01535 = 0.00171\n", - "10. Interval (8.5, 9.5): Upper - Lower = 0.02562 - 0.0239 = 0.00172\n", - "11. Interval (9.5, 11.5): Upper - Lower = 0.03152 - 0.02772 = 0.0038\n", - "12. Interval (11.5, 12.5): Upper - Lower = 0.03732 - 0.03206 = 0.00526\n", - "13. Interval (12.5, 13.5): Upper - Lower = 0.05424 - 0.04307 = 0.01117\n", - "14. Interval (13.5, 16.0): Upper - Lower = 0.06343 - 0.0546 = 0.00883\n", - "\n", - "From these calculations, the interval (12.5, 13.5) has the widest confidence bound with a difference of 0.01117. Therefore, the x-axis interval with the widest confidence bound is (12.5, 13.5).\n", - "SOLUTION: (12.5, 13.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Width of the Confidence Interval**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Widths**: Identify the interval with the maximum width.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval (1.0, 1.5): Upper - Lower = 1.142 - (-2.672) = 3.814\n", - "- For interval (1.5, 2.5): Upper - Lower = 0.023 - (-0.773) = 0.796\n", - "- For interval (2.5, 4.5): Upper - Lower = -1.109 - (-2.709) = 1.600\n", - "- For interval (4.5, 6.5): Upper - Lower = -0.668 - (-1.566) = 0.898\n", - "- For interval (6.5, 7.5): Upper - Lower = 0.005 - (-1.241) = 1.246\n", - "- For interval (7.5, 14.5): Upper - Lower = -0.546 - (-1.098) = 0.552\n", - "- For interval (14.5, 19.5): Upper - Lower = -0.729 - (-1.535) = 0.806\n", - "- For interval (19.5, 29.5): Upper - Lower = -0.172 - (-1.357) = 1.185\n", - "- For interval (29.5, 33.5): Upper - Lower = 0.047 - (-1.248) = 1.295\n", - "- For interval (33.5, 34.5): Upper - Lower = -0.027 - (-1.815) = 1.788\n", - "- For interval (34.5, 39.5): Upper - Lower = -0.087 - (-0.223) = 0.136\n", - "- For interval (39.5, 41.5): Upper - Lower = 0.19 - (-0.129) = 0.319\n", - "- For interval (41.5, 50.5): Upper - Lower = 0.571 - 0.212 = 0.359\n", - "- For interval (50.5, 51.5): Upper - Lower = 1.13 - (-0.867) = 1.997\n", - "- For interval (51.5, 55.5): Upper - Lower = 0.557 - 0.357 = 0.200\n", - "- For interval (55.5, 59.5): Upper - Lower = 1.048 - 0.304 = 0.744\n", - "- For interval (59.5, 63.5): Upper - Lower = 0.818 - 0.014 = 0.804\n", - "- For interval (63.5, 64.5): Upper - Lower = 1.896 - 0.009 = 1.887\n", - "- For interval (64.5, 65.5): Upper - Lower = 0.653 - 0.379 = 0.274\n", - "- For interval (65.5, 71.0): Upper - Lower = 0.254 - (-0.113) = 0.367\n", - "- For interval (71.0, 75.5): Upper - Lower = 0.806 - 0.054 = 0.752\n", - "- For interval (75.5, 77.5): Upper - Lower = 1.04 - (-0.57) = 1.61\n", - "- For interval (77.5, 79.0): Upper - Lower = 1.25 - 0.234 = 1.016\n", - "- For interval (79.0, 83.0): Upper - Lower = 1.166 - 0.788 = 0.378\n", - "- For interval (83.0, 85.5): Upper - Lower = 1.852 - 0.721 = 1.131\n", - "- For interval (85.5, 90.5): Upper - Lower = 0.673 - (-0.289) = 0.962\n", - "- For interval (90.5, 97.5): Upper - Lower = 0.361 - (-0.504) = 0.865\n", - "- For interval (97.5, 98.5): Upper - Lower = 0.765 - (-0.527) = 1.292\n", - "- For interval (98.5, 99.0): Upper - Lower = 0.271 - (-0.548) = 0.819\n", - "\n", - "From these calculations, the interval (1.0, 1.5) has the widest confidence bound with a width of 3.814.\n", - "SOLUTION: (1.0, 1.5)\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the interval with the widest confidence bound, we need to calculate the difference between the upper and lower bounds for each interval and identify the interval where this difference is the largest.\n", - "\n", - "Here are the steps to find the interval with the widest confidence bound:\n", - "\n", - "1. **Extract the Lower and Upper Bounds**: For each interval, retrieve the lower and upper bounds from the provided data.\n", - "\n", - "2. **Calculate the Difference**: For each interval, subtract the lower bound from the upper bound to get the width of the confidence interval.\n", - "\n", - "3. **Compare the Differences**: Identify the interval with the largest difference, which indicates the widest confidence bound.\n", - "\n", - "Let's perform these calculations:\n", - "\n", - "- For interval \"(0.0, 57.0)\": Difference = -0.23 - (-0.27) = 0.04\n", - "- For interval \"(57.0, 3048.0)\": Difference = -3.24 - (-6.42) = 3.18\n", - "- For interval \"(3048.0, 3120.0)\": Difference = 3.0 - 2.14 = 0.86\n", - "- For interval \"(3120.0, 4243.5)\": Difference = -3.54 - (-5.31) = 1.77\n", - "- For interval \"(4243.5, 4401.0)\": Difference = 1.81 - 1.09 = 0.72\n", - "- For interval \"(4401.0, 4668.5)\": Difference = -1.0 - (-2.65) = 1.65\n", - "- For interval \"(4668.5, 4826.0)\": Difference = 4.71 - 2.87 = 1.84\n", - "- For interval \"(4826.0, 4898.0)\": Difference = 1.38 - (-0.25) = 1.63\n", - "- For interval \"(4898.0, 4973.5)\": Difference = 2.95 - 1.55 = 1.40\n", - "- For interval \"(4973.5, 5119.0)\": Difference = -0.92 - (-6.13) = 5.21\n", - "- For interval \"(5119.0, 5316.5)\": Difference = 5.0 - 3.51 = 1.49\n", - "- For interval \"(5316.5, 5505.5)\": Difference = 1.16 - (-0.29) = 1.45\n", - "- For interval \"(5505.5, 6457.5)\": Difference = 3.0 - 1.3 = 1.70\n", - "- For interval \"(6457.5, 6505.5)\": Difference = 0.62 - (-0.94) = 1.56\n", - "- For interval \"(6505.5, 6745.0)\": Difference = 1.44 - 0.19 = 1.25\n", - "- For interval \"(6745.0, 7073.5)\": Difference = -0.34 - (-2.33) = 1.99\n", - "- For interval \"(7073.5, 7436.5)\": Difference = 6.58 - 4.95 = 1.63\n", - "- For interval \"(7436.5, 7565.5)\": Difference = 3.62 - 0.42 = 3.20\n", - "- For interval \"(7565.5, 7792.0)\": Difference = 7.72 - 5.41 = 2.31\n", - "- For interval \"(7792.0, 7937.0)\": Difference = 7.16 - 2.59 = 4.57\n", - "- For interval \"(7937.0, 8296.0)\": Difference = 6.36 - 1.32 = 5.04\n", - "- For interval \"(8296.0, 10543.0)\": Difference = 8.31 - 6.05 = 2.26\n", - "- For interval \"(10543.0, 10585.5)\": Difference = -0.22 - (-2.73) = 2.51\n", - "- For interval \"(10585.5, 30961.5)\": Difference = 9.71 - 7.51 = 2.20\n", - "- For interval \"(30961.5, 70654.5)\": Difference = 2.23 - (-3.56) = 5.79\n", - "- For interval \"(70654.5, 99999.0)\": Difference = 11.26 - 8.19 = 3.07\n", - "\n", - "From the calculations, the interval \"(30961.5, 70654.5)\" has the widest confidence bound with a difference of 5.79.\n", - "SOLUTION: (30961.5, 70654.5)\n", - "--------------------------------------------------------------------------------\n" - ] - } - ], - "source": [ - "system_msg = \"You are an expert statistician and data scientist. You interpret global explanations produced by a generalized additive model (GAM). You answer all questions to the best of your ability, combining the data contained in the graph, any data set description you are given, and your knowledge about the real world.\"\n", - "for question in questions[54:]:\n", - " messages = [{\"role\": \"system\", \"content\": system_msg}, {\"role\": \"user\", \"content\": question[0]}]\n", - " response = t2ebm.utils.openai_completion_query('gpt-3.5-turbo-0125', messages, temperature=0.0)\n", - " messages.append({\"role\": \"assistant\", \"content\": response})\n", - " messages.append({\"role\": \"user\", \"content\": \"Thanks. Now summarize your response by answering again with the interval.\"})\n", - " response = t2ebm.utils.openai_completion_query('gpt-3.5-turbo-0125', messages, temperature=0.0)\n", - " print('LLM RESPONSE: ', response)\n", - " print('SOLUTION: ', question[1])\n", - " print('-'*80)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "tmcd", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/benchmarks/notebooks/jump.ipynb b/benchmarks/notebooks/jump.ipynb deleted file mode 100644 index b77fe6a..0000000 --- a/benchmarks/notebooks/jump.ipynb +++ /dev/null @@ -1,350 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Largest Jump Benchmark" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# add parent directory to path\n", - "import sys\n", - "sys.path.append('..')\n", - "\n", - "import copy\n", - "import random\n", - "import numpy as np\n", - "\n", - "import t2ebm\n", - "from t2ebm import graphs\n", - "from t2ebm import prompts" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Create the benchmark" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# load graphs (pickle)\n", - "import pickle\n", - "\n", - "with open(\"all_graphs.pkl\", \"rb\") as f:\n", - " all_graphs = pickle.load(f)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "def graph_largest_jump(graph):\n", - " \"\"\"returns the position and the size of the largest jump in the graph\"\"\"\n", - " jumps = [\n", - " np.abs(graph.scores[idx] - graph.scores[idx - 1])\n", - " for idx in range(1, len(graph.x_vals))\n", - " ]\n", - " largest_jump_idx = np.argmax(jumps)\n", - " return graph.x_vals[largest_jump_idx][1], jumps[largest_jump_idx]" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [], - "source": [ - "questions = []\n", - "for graph, graph_as_text in all_graphs:\n", - " # only continuous graphs\n", - " if graph.feature_type != \"continuous\":\n", - " continue\n", - " question = \"\"\"Below is the graph of a generalized additive model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take.\n", - " \n", - " The graph is provided in the following format:\n", - " - The name of the feature depicted in the graph\n", - " - The type of the feature (continuous, categorical, or boolean)\n", - " - Mean values\n", - " - Lower bounds of confidence interval (optional)\n", - " - Upper bounds of confidence interval (optional)\\n\\n\"\"\"\n", - " question += f\"Here is the graph:\\n\\n{graph_as_text}\\n\"\n", - " question += \"\"\"Within the different intervals, the graph predicts the same mean value. This means that there are discontinuous 'jumps' in the mean of the graph in between the intervals.\n", - "\n", - "We are now looking for the position of the largest jump in the graph. We are looking for both positive and negative jumps, that is we care about the absolute magnitude of the jump.\n", - "\n", - "What is the x-axis position of the largest jump in the graph? Think step by step.\"\"\"\n", - " graph_ = graphs.text_to_graph(graph_as_text)\n", - " pos, size = graph_largest_jump(graph_)\n", - " questions.append((question, str(pos)))" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [], - "source": [ - "# subset 100 random questions\n", - "random.shuffle(questions)\n", - "questions = questions[:100]" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Below is the graph of a generalized additive model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take.\n", - " \n", - " The graph is provided in the following format:\n", - " - The name of the feature depicted in the graph\n", - " - The type of the feature (continuous, categorical, or boolean)\n", - " - Mean values\n", - " - Lower bounds of confidence interval (optional)\n", - " - Upper bounds of confidence interval (optional)\n", - "\n", - "Here is the graph:\n", - "\n", - "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", - "\n", - "Feature Name: compactness_worst\n", - "Feature Type: continuous\n", - "Means: {\"(0.02729, 0.049945)\": -0.0578, \"(0.049945, 0.06971)\": -0.0099, \"(0.06971, 0.099305)\": -0.0565, \"(0.099305, 0.10635)\": -0.1408, \"(0.10635, 0.1243)\": -0.1882, \"(0.1243, 0.14795)\": -0.2357, \"(0.14795, 0.1507)\": -0.1883, \"(0.1507, 0.1861)\": -0.1381, \"(0.1861, 0.20124999999999998)\": -0.0918, \"(0.20124999999999998, 0.3358)\": -0.0443, \"(0.3358, 0.3456)\": 0.0027, \"(0.3456, 0.35755000000000003)\": 0.0649, \"(0.35755000000000003, 0.3703)\": 0.1151, \"(0.3703, 0.39235)\": 0.1642, \"(0.39235, 0.4087)\": 0.2124, \"(0.4087, 0.4229)\": 0.2605, \"(0.4229, 0.4486)\": 0.3109, \"(0.4486, 0.48865000000000003)\": 0.3586, \"(0.48865000000000003, 0.54825)\": 0.4132, \"(0.54825, 0.5892999999999999)\": 0.4651, \"(0.5892999999999999, 0.65835)\": 0.5154, \"(0.65835, 0.7680499999999999)\": 0.572, \"(0.7680499999999999, 0.99795)\": 0.6264, \"(0.99795, 1.058)\": 0.6748}\n", - "Lower Bounds (95%-Confidence Interval): {\"(0.02729, 0.049945)\": -0.8125, \"(0.049945, 0.06971)\": -0.7624, \"(0.06971, 0.099305)\": -0.6001, \"(0.099305, 0.10635)\": -0.4033, \"(0.10635, 0.1243)\": -0.4448, \"(0.1243, 0.14795)\": -0.4969, \"(0.14795, 0.1507)\": -0.4446, \"(0.1507, 0.1861)\": -0.2722, \"(0.1861, 0.20124999999999998)\": -0.1924, \"(0.20124999999999998, 0.3358)\": -0.2305, \"(0.3358, 0.3456)\": -0.1741, \"(0.3456, 0.35755000000000003)\": -0.068, \"(0.35755000000000003, 0.3703)\": 0.0047, \"(0.3703, 0.39235)\": 0.0473, \"(0.39235, 0.4087)\": 0.1107, \"(0.4087, 0.4229)\": 0.1686, \"(0.4229, 0.4486)\": 0.2243, \"(0.4486, 0.48865000000000003)\": 0.2736, \"(0.48865000000000003, 0.54825)\": 0.2405, \"(0.54825, 0.5892999999999999)\": 0.2819, \"(0.5892999999999999, 0.65835)\": 0.3155, \"(0.65835, 0.7680499999999999)\": 0.3513, \"(0.7680499999999999, 0.99795)\": 0.3892, \"(0.99795, 1.058)\": 0.4487}\n", - "Upper Bounds (95%-Confidence Interval): {\"(0.02729, 0.049945)\": 0.6969, \"(0.049945, 0.06971)\": 0.7425, \"(0.06971, 0.099305)\": 0.487, \"(0.099305, 0.10635)\": 0.1218, \"(0.10635, 0.1243)\": 0.0684, \"(0.1243, 0.14795)\": 0.0254, \"(0.14795, 0.1507)\": 0.068, \"(0.1507, 0.1861)\": -0.0039, \"(0.1861, 0.20124999999999998)\": 0.0087, \"(0.20124999999999998, 0.3358)\": 0.1418, \"(0.3358, 0.3456)\": 0.1794, \"(0.3456, 0.35755000000000003)\": 0.1979, \"(0.35755000000000003, 0.3703)\": 0.2255, \"(0.3703, 0.39235)\": 0.2811, \"(0.39235, 0.4087)\": 0.314, \"(0.4087, 0.4229)\": 0.3524, \"(0.4229, 0.4486)\": 0.3975, \"(0.4486, 0.48865000000000003)\": 0.4436, \"(0.48865000000000003, 0.54825)\": 0.5859, \"(0.54825, 0.5892999999999999)\": 0.6484, \"(0.5892999999999999, 0.65835)\": 0.7153, \"(0.65835, 0.7680499999999999)\": 0.7927, \"(0.7680499999999999, 0.99795)\": 0.8637, \"(0.99795, 1.058)\": 0.9008}\n", - "\n", - "Within the different intervals, the graph predicts the same mean value. This means that there are discontinuous 'jumps' in the mean of the graph in between the intervals.\n", - "\n", - "We are now looking for the position of the largest jump in the graph. We are looking for both positive and negative jumps, that is we care about the absolute magnitude of the jump.\n", - "\n", - "What is the x-axis position of the largest jump in the graph? Think step by step.\n", - "SOLUTION: 0.099305\n" - ] - } - ], - "source": [ - "# print a random question\n", - "import random\n", - "random.shuffle(questions)\n", - "print(questions[0][0])\n", - "print('SOLUTION: ', questions[0][1])" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [], - "source": [ - "# save the questions to json\n", - "import json\n", - "with open(\"../benchmark/jumps.json\", \"w\") as f:\n", - " json.dump(questions, f, indent=2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Run the benchmark" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [], - "source": [ - "# load the json file\n", - "with open(\"../benchmark/jumps.json\", \"r\") as f:\n", - " questions = json.load(f)" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "100" - ] - }, - "execution_count": 63, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(questions)" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "LLM RESPONSE: To identify the position of the largest jump in the graph, we need to compare the mean values within each interval and calculate the absolute difference between adjacent intervals. The largest jump will be the one with the highest absolute difference in mean values.\n", - "\n", - "Let's calculate the absolute differences between adjacent intervals:\n", - "\n", - "1. Absolute difference between intervals (1.0, 1.5) and (1.5, 2.5):\n", - " Absolute difference = |0.534 - (-0.009)| = 0.543\n", - "\n", - "2. Absolute difference between intervals (1.5, 2.5) and (2.5, 3.0):\n", - " Absolute difference = |(-0.532) - 0.534| = 1.066\n", - "\n", - "Based on these calculations, the largest jump in the graph occurs between the intervals (1.5, 2.5) and (2.5, 3.0) with an absolute difference of 1.066.\n", - "\n", - "Therefore, the x-axis position of the largest jump in the graph is between Pclass values of 1.5 and 2.5.\n", - "SOLUTION: 2.5\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the x-axis position of the largest jump in the graph, we need to calculate the absolute difference in mean values between adjacent intervals. The largest jump will be the interval with the largest absolute difference in mean values.\n", - "\n", - "Given the data provided for the \"smoking\" feature:\n", - "- Mean value for the interval (0.0, 0.5): 0.01522\n", - "- Mean value for the interval (0.5, 1.0): -0.03391\n", - "\n", - "The absolute difference in mean values between these two intervals is:\n", - "|0.01522 - (-0.03391)| = 0.04913\n", - "\n", - "Therefore, the largest jump in the graph occurs between the intervals (0.0, 0.5) and (0.5, 1.0) with an absolute difference of 0.04913.\n", - "\n", - "The x-axis position of the largest jump is at the boundary between these two intervals, which is at 0.5 on the x-axis.\n", - "SOLUTION: 0.5\n", - "--------------------------------------------------------------------------------\n", - "LLM RESPONSE: To find the position of the largest jump in the graph, we need to calculate the absolute differences between consecutive mean values in the intervals provided. The largest absolute difference will indicate the position of the largest jump.\n", - "\n", - "Let's calculate the absolute differences between consecutive mean values:\n", - "\n", - "1. Absolute difference between -0.759 and -0.662 = 0.097\n", - "2. Absolute difference between -0.662 and -0.567 = 0.095\n", - "3. Absolute difference between -0.567 and -0.464 = 0.103\n", - "4. Absolute difference between -0.464 and -0.368 = 0.096\n", - "5. Absolute difference between -0.368 and -0.271 = 0.097\n", - "6. Absolute difference between -0.271 and -0.173 = 0.098\n", - "7. Absolute difference between -0.173 and -0.076 = 0.097\n", - "8. Absolute difference between -0.076 and 0.309 = 0.385\n", - "9. Absolute difference between 0.309 and 0.405 = 0.096\n", - "10. Absolute difference between 0.405 and 0.51 = 0.105\n", - "11. Absolute difference between 0.51 and 0.607 = 0.097\n", - "12. Absolute difference between 0.607 and 0.707 = 0.1\n", - "13. Absolute difference between 0.707 and 0.806 = 0.099\n", - "14. Absolute difference between 0.806 and 0.911 = 0.105\n", - "15. Absolute difference between 0.911 and 1.01 = 0.099\n", - "16. Absolute difference between 1.01 and 1.109 = 0.099\n", - "\n", - "The largest absolute difference is 0.385, which occurs between the intervals \"(606.0, 696.25)\" and \"(696.25, 806.1500000000001)\".\n", - "\n", - "Therefore, the x-axis position of the largest jump in the graph is within the interval \"(606.0, 696.25)\".\n", - "SOLUTION: 696.25\n", - "--------------------------------------------------------------------------------\n" - ] - }, - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[64], line 4\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m question \u001b[38;5;129;01min\u001b[39;00m questions:\n\u001b[1;32m 3\u001b[0m messages \u001b[38;5;241m=\u001b[39m [{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrole\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msystem\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcontent\u001b[39m\u001b[38;5;124m\"\u001b[39m: system_msg}, {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrole\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muser\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcontent\u001b[39m\u001b[38;5;124m\"\u001b[39m: question[\u001b[38;5;241m0\u001b[39m]}]\n\u001b[0;32m----> 4\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mt2ebm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mutils\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopenai_completion_query\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mgpt-3.5-turbo-0125\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtemperature\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0.0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLLM RESPONSE: \u001b[39m\u001b[38;5;124m'\u001b[39m, response)\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mSOLUTION: \u001b[39m\u001b[38;5;124m'\u001b[39m, question[\u001b[38;5;241m1\u001b[39m])\n", - "File \u001b[0;32m~/Documents/GitHub/TalkToEBM/t2ebm/utils.py:33\u001b[0m, in \u001b[0;36mopenai_completion_query\u001b[0;34m(model, messages, **kwargs)\u001b[0m\n\u001b[1;32m 31\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mopenai_completion_query\u001b[39m(model, messages, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 32\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Catches exceptions and retries, good for deployment / running experiments\"\"\"\u001b[39;00m\n\u001b[0;32m---> 33\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompletions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 34\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m response\u001b[38;5;241m.\u001b[39mchoices[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mmessage\u001b[38;5;241m.\u001b[39mcontent\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/openai/_utils/_utils.py:275\u001b[0m, in \u001b[0;36mrequired_args..inner..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 273\u001b[0m msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMissing required argument: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mquote(missing[\u001b[38;5;241m0\u001b[39m])\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 274\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[0;32m--> 275\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/openai/resources/chat/completions.py:667\u001b[0m, in \u001b[0;36mCompletions.create\u001b[0;34m(self, messages, model, frequency_penalty, function_call, functions, logit_bias, logprobs, max_tokens, n, presence_penalty, response_format, seed, stop, stream, temperature, tool_choice, tools, top_logprobs, top_p, user, extra_headers, extra_query, extra_body, timeout)\u001b[0m\n\u001b[1;32m 615\u001b[0m \u001b[38;5;129m@required_args\u001b[39m([\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodel\u001b[39m\u001b[38;5;124m\"\u001b[39m], [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodel\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstream\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m 616\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcreate\u001b[39m(\n\u001b[1;32m 617\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 665\u001b[0m timeout: \u001b[38;5;28mfloat\u001b[39m \u001b[38;5;241m|\u001b[39m httpx\u001b[38;5;241m.\u001b[39mTimeout \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m|\u001b[39m NotGiven \u001b[38;5;241m=\u001b[39m NOT_GIVEN,\n\u001b[1;32m 666\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m ChatCompletion \u001b[38;5;241m|\u001b[39m Stream[ChatCompletionChunk]:\n\u001b[0;32m--> 667\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_post\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 668\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/chat/completions\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 669\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmaybe_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 670\u001b[0m \u001b[43m \u001b[49m\u001b[43m{\u001b[49m\n\u001b[1;32m 671\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmessages\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 672\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 673\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfrequency_penalty\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfrequency_penalty\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 674\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfunction_call\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunction_call\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 675\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfunctions\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunctions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 676\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mlogit_bias\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogit_bias\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 677\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mlogprobs\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogprobs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 678\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmax_tokens\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 679\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mn\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 680\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpresence_penalty\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mpresence_penalty\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 681\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mresponse_format\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mresponse_format\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 682\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mseed\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mseed\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 683\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstop\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 684\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstream\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 685\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtemperature\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtemperature\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 686\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtool_choice\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtool_choice\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 687\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtools\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtools\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 688\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtop_logprobs\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_logprobs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 689\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtop_p\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_p\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 690\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43muser\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43muser\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 691\u001b[0m \u001b[43m \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 692\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompletion_create_params\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mCompletionCreateParams\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 693\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 694\u001b[0m \u001b[43m \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmake_request_options\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 695\u001b[0m \u001b[43m \u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_query\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_query\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_body\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_body\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\n\u001b[1;32m 696\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 697\u001b[0m \u001b[43m \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mChatCompletion\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 698\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 699\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mStream\u001b[49m\u001b[43m[\u001b[49m\u001b[43mChatCompletionChunk\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 700\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/openai/_base_client.py:1213\u001b[0m, in \u001b[0;36mSyncAPIClient.post\u001b[0;34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[0m\n\u001b[1;32m 1199\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mpost\u001b[39m(\n\u001b[1;32m 1200\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1201\u001b[0m path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1208\u001b[0m stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 1209\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m ResponseT \u001b[38;5;241m|\u001b[39m _StreamT:\n\u001b[1;32m 1210\u001b[0m opts \u001b[38;5;241m=\u001b[39m FinalRequestOptions\u001b[38;5;241m.\u001b[39mconstruct(\n\u001b[1;32m 1211\u001b[0m method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpost\u001b[39m\u001b[38;5;124m\"\u001b[39m, url\u001b[38;5;241m=\u001b[39mpath, json_data\u001b[38;5;241m=\u001b[39mbody, files\u001b[38;5;241m=\u001b[39mto_httpx_files(files), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions\n\u001b[1;32m 1212\u001b[0m )\n\u001b[0;32m-> 1213\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m cast(ResponseT, \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m)\u001b[49m)\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/openai/_base_client.py:902\u001b[0m, in \u001b[0;36mSyncAPIClient.request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m 893\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrequest\u001b[39m(\n\u001b[1;32m 894\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 895\u001b[0m cast_to: Type[ResponseT],\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 900\u001b[0m stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 901\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m ResponseT \u001b[38;5;241m|\u001b[39m _StreamT:\n\u001b[0;32m--> 902\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 903\u001b[0m \u001b[43m \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 904\u001b[0m \u001b[43m \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 905\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 906\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 907\u001b[0m \u001b[43m \u001b[49m\u001b[43mremaining_retries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mremaining_retries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 908\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/openai/_base_client.py:931\u001b[0m, in \u001b[0;36mSyncAPIClient._request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m 928\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mauth\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcustom_auth\n\u001b[1;32m 930\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 931\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_client\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 932\u001b[0m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 933\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_should_stream_response_body\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 934\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 935\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 936\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m httpx\u001b[38;5;241m.\u001b[39mTimeoutException \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 937\u001b[0m log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mEncountered httpx.TimeoutException\u001b[39m\u001b[38;5;124m\"\u001b[39m, exc_info\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpx/_client.py:914\u001b[0m, in \u001b[0;36mClient.send\u001b[0;34m(self, request, stream, auth, follow_redirects)\u001b[0m\n\u001b[1;32m 906\u001b[0m follow_redirects \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 907\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfollow_redirects\n\u001b[1;32m 908\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(follow_redirects, UseClientDefault)\n\u001b[1;32m 909\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m follow_redirects\n\u001b[1;32m 910\u001b[0m )\n\u001b[1;32m 912\u001b[0m auth \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_build_request_auth(request, auth)\n\u001b[0;32m--> 914\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_send_handling_auth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 915\u001b[0m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 916\u001b[0m \u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 917\u001b[0m \u001b[43m \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 918\u001b[0m \u001b[43m \u001b[49m\u001b[43mhistory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 919\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 920\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 921\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m stream:\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpx/_client.py:942\u001b[0m, in \u001b[0;36mClient._send_handling_auth\u001b[0;34m(self, request, auth, follow_redirects, history)\u001b[0m\n\u001b[1;32m 939\u001b[0m request \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mnext\u001b[39m(auth_flow)\n\u001b[1;32m 941\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 942\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_send_handling_redirects\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 943\u001b[0m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 944\u001b[0m \u001b[43m \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 945\u001b[0m \u001b[43m \u001b[49m\u001b[43mhistory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhistory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 946\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 947\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 948\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpx/_client.py:979\u001b[0m, in \u001b[0;36mClient._send_handling_redirects\u001b[0;34m(self, request, follow_redirects, history)\u001b[0m\n\u001b[1;32m 976\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m hook \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_event_hooks[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrequest\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n\u001b[1;32m 977\u001b[0m hook(request)\n\u001b[0;32m--> 979\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_send_single_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 980\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 981\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m hook \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_event_hooks[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mresponse\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpx/_client.py:1015\u001b[0m, in \u001b[0;36mClient._send_single_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 1010\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m 1011\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAttempted to send an async request with a sync Client instance.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1012\u001b[0m )\n\u001b[1;32m 1014\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m request_context(request\u001b[38;5;241m=\u001b[39mrequest):\n\u001b[0;32m-> 1015\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mtransport\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1017\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(response\u001b[38;5;241m.\u001b[39mstream, SyncByteStream)\n\u001b[1;32m 1019\u001b[0m response\u001b[38;5;241m.\u001b[39mrequest \u001b[38;5;241m=\u001b[39m request\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpx/_transports/default.py:233\u001b[0m, in \u001b[0;36mHTTPTransport.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 220\u001b[0m req \u001b[38;5;241m=\u001b[39m httpcore\u001b[38;5;241m.\u001b[39mRequest(\n\u001b[1;32m 221\u001b[0m method\u001b[38;5;241m=\u001b[39mrequest\u001b[38;5;241m.\u001b[39mmethod,\n\u001b[1;32m 222\u001b[0m url\u001b[38;5;241m=\u001b[39mhttpcore\u001b[38;5;241m.\u001b[39mURL(\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 230\u001b[0m extensions\u001b[38;5;241m=\u001b[39mrequest\u001b[38;5;241m.\u001b[39mextensions,\n\u001b[1;32m 231\u001b[0m )\n\u001b[1;32m 232\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m map_httpcore_exceptions():\n\u001b[0;32m--> 233\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_pool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mreq\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 235\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(resp\u001b[38;5;241m.\u001b[39mstream, typing\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m 237\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m Response(\n\u001b[1;32m 238\u001b[0m status_code\u001b[38;5;241m=\u001b[39mresp\u001b[38;5;241m.\u001b[39mstatus,\n\u001b[1;32m 239\u001b[0m headers\u001b[38;5;241m=\u001b[39mresp\u001b[38;5;241m.\u001b[39mheaders,\n\u001b[1;32m 240\u001b[0m stream\u001b[38;5;241m=\u001b[39mResponseStream(resp\u001b[38;5;241m.\u001b[39mstream),\n\u001b[1;32m 241\u001b[0m extensions\u001b[38;5;241m=\u001b[39mresp\u001b[38;5;241m.\u001b[39mextensions,\n\u001b[1;32m 242\u001b[0m )\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpcore/_sync/connection_pool.py:216\u001b[0m, in \u001b[0;36mConnectionPool.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 213\u001b[0m closing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_assign_requests_to_connections()\n\u001b[1;32m 215\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_close_connections(closing)\n\u001b[0;32m--> 216\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 218\u001b[0m \u001b[38;5;66;03m# Return the response. Note that in this case we still have to manage\u001b[39;00m\n\u001b[1;32m 219\u001b[0m \u001b[38;5;66;03m# the point at which the response is closed.\u001b[39;00m\n\u001b[1;32m 220\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(response\u001b[38;5;241m.\u001b[39mstream, Iterable)\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpcore/_sync/connection_pool.py:196\u001b[0m, in \u001b[0;36mConnectionPool.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 192\u001b[0m connection \u001b[38;5;241m=\u001b[39m pool_request\u001b[38;5;241m.\u001b[39mwait_for_connection(timeout\u001b[38;5;241m=\u001b[39mtimeout)\n\u001b[1;32m 194\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 195\u001b[0m \u001b[38;5;66;03m# Send the request on the assigned connection.\u001b[39;00m\n\u001b[0;32m--> 196\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 197\u001b[0m \u001b[43m \u001b[49m\u001b[43mpool_request\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\n\u001b[1;32m 198\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 199\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ConnectionNotAvailable:\n\u001b[1;32m 200\u001b[0m \u001b[38;5;66;03m# In some cases a connection may initially be available to\u001b[39;00m\n\u001b[1;32m 201\u001b[0m \u001b[38;5;66;03m# handle a request, but then become unavailable.\u001b[39;00m\n\u001b[1;32m 202\u001b[0m \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[1;32m 203\u001b[0m \u001b[38;5;66;03m# In this case we clear the connection and try again.\u001b[39;00m\n\u001b[1;32m 204\u001b[0m pool_request\u001b[38;5;241m.\u001b[39mclear_connection()\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpcore/_sync/connection.py:101\u001b[0m, in \u001b[0;36mHTTPConnection.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connect_failed \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 99\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\n\u001b[0;32m--> 101\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_connection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpcore/_sync/http11.py:143\u001b[0m, in \u001b[0;36mHTTP11Connection.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m Trace(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mresponse_closed\u001b[39m\u001b[38;5;124m\"\u001b[39m, logger, request) \u001b[38;5;28;01mas\u001b[39;00m trace:\n\u001b[1;32m 142\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_response_closed()\n\u001b[0;32m--> 143\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpcore/_sync/http11.py:113\u001b[0m, in \u001b[0;36mHTTP11Connection.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 102\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m Trace(\n\u001b[1;32m 105\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mreceive_response_headers\u001b[39m\u001b[38;5;124m\"\u001b[39m, logger, request, kwargs\n\u001b[1;32m 106\u001b[0m ) \u001b[38;5;28;01mas\u001b[39;00m trace:\n\u001b[1;32m 107\u001b[0m (\n\u001b[1;32m 108\u001b[0m http_version,\n\u001b[1;32m 109\u001b[0m status,\n\u001b[1;32m 110\u001b[0m reason_phrase,\n\u001b[1;32m 111\u001b[0m headers,\n\u001b[1;32m 112\u001b[0m trailing_data,\n\u001b[0;32m--> 113\u001b[0m ) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_receive_response_headers\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 114\u001b[0m trace\u001b[38;5;241m.\u001b[39mreturn_value \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 115\u001b[0m http_version,\n\u001b[1;32m 116\u001b[0m status,\n\u001b[1;32m 117\u001b[0m reason_phrase,\n\u001b[1;32m 118\u001b[0m headers,\n\u001b[1;32m 119\u001b[0m )\n\u001b[1;32m 121\u001b[0m network_stream \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_network_stream\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpcore/_sync/http11.py:186\u001b[0m, in \u001b[0;36mHTTP11Connection._receive_response_headers\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 183\u001b[0m timeout \u001b[38;5;241m=\u001b[39m timeouts\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mread\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[1;32m 185\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 186\u001b[0m event \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_receive_event\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 187\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(event, h11\u001b[38;5;241m.\u001b[39mResponse):\n\u001b[1;32m 188\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpcore/_sync/http11.py:224\u001b[0m, in \u001b[0;36mHTTP11Connection._receive_event\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 221\u001b[0m event \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_h11_state\u001b[38;5;241m.\u001b[39mnext_event()\n\u001b[1;32m 223\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m event \u001b[38;5;129;01mis\u001b[39;00m h11\u001b[38;5;241m.\u001b[39mNEED_DATA:\n\u001b[0;32m--> 224\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_network_stream\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 225\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mREAD_NUM_BYTES\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\n\u001b[1;32m 226\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 228\u001b[0m \u001b[38;5;66;03m# If we feed this case through h11 we'll raise an exception like:\u001b[39;00m\n\u001b[1;32m 229\u001b[0m \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[1;32m 230\u001b[0m \u001b[38;5;66;03m# httpcore.RemoteProtocolError: can't handle event type\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;66;03m# perspective. Instead we handle this case distinctly and treat\u001b[39;00m\n\u001b[1;32m 235\u001b[0m \u001b[38;5;66;03m# it as a ConnectError.\u001b[39;00m\n\u001b[1;32m 236\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;241m==\u001b[39m \u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_h11_state\u001b[38;5;241m.\u001b[39mtheir_state \u001b[38;5;241m==\u001b[39m h11\u001b[38;5;241m.\u001b[39mSEND_RESPONSE:\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/site-packages/httpcore/_backends/sync.py:126\u001b[0m, in \u001b[0;36mSyncStream.read\u001b[0;34m(self, max_bytes, timeout)\u001b[0m\n\u001b[1;32m 124\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m map_exceptions(exc_map):\n\u001b[1;32m 125\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sock\u001b[38;5;241m.\u001b[39msettimeout(timeout)\n\u001b[0;32m--> 126\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sock\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrecv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmax_bytes\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/ssl.py:1233\u001b[0m, in \u001b[0;36mSSLSocket.recv\u001b[0;34m(self, buflen, flags)\u001b[0m\n\u001b[1;32m 1229\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m flags \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 1230\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 1231\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnon-zero flags not allowed in calls to recv() on \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m\n\u001b[1;32m 1232\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m)\n\u001b[0;32m-> 1233\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbuflen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1234\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1235\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39mrecv(buflen, flags)\n", - "File \u001b[0;32m~/anaconda3/envs/tmcd/lib/python3.12/ssl.py:1106\u001b[0m, in \u001b[0;36mSSLSocket.read\u001b[0;34m(self, len, buffer)\u001b[0m\n\u001b[1;32m 1104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sslobj\u001b[38;5;241m.\u001b[39mread(\u001b[38;5;28mlen\u001b[39m, buffer)\n\u001b[1;32m 1105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1106\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sslobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1107\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m SSLError \u001b[38;5;28;01mas\u001b[39;00m x:\n\u001b[1;32m 1108\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m x\u001b[38;5;241m.\u001b[39margs[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m SSL_ERROR_EOF \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msuppress_ragged_eofs:\n", - "\u001b[0;31mKeyboardInterrupt\u001b[0m: " - ] - } - ], - "source": [ - "system_msg = \"You are an expert statistician and data scientist. You interpret global explanations produced by a generalized additive model (GAM). You answer all questions to the best of your ability, combining the data contained in the graph, any data set description you are given, and your knowledge about the real world.\"\n", - "for question in questions:\n", - " messages = [{\"role\": \"system\", \"content\": system_msg}, {\"role\": \"user\", \"content\": question[0]}]\n", - " response = t2ebm.utils.openai_completion_query('gpt-3.5-turbo-0125', messages, temperature=0.0)\n", - " print('LLM RESPONSE: ', response)\n", - " print('SOLUTION: ', question[1])\n", - " print('-'*80)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# 24 mistakes for gpt-4-turbo-2024-04-09" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# mistakes for gpt-3.5-turbo-0125" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "tmcd", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/Spaceship Titanic.ipynb b/notebooks/Spaceship Titanic.ipynb index bdc56c1..feaab4a 100644 --- a/notebooks/Spaceship Titanic.ipynb +++ b/notebooks/Spaceship Titanic.ipynb @@ -43,10 +43,6 @@ "import textwrap\n", "from sklearn.model_selection import train_test_split\n", "\n", - "import openai\n", - "import guidance\n", - "import os\n", - "\n", "from interpret.glassbox import ExplainableBoostingClassifier\n", "from interpret import show\n", "\n", @@ -60,67 +56,6 @@ "%autoreload 2" ] }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "module 'guidance' has no attribute 'llms'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[2], line 5\u001b[0m\n\u001b[1;32m 2\u001b[0m openai\u001b[38;5;241m.\u001b[39morganization \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3\u001b[0m openai\u001b[38;5;241m.\u001b[39mapi_key \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39menviron[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOPENAI_API_KEY\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m----> 5\u001b[0m llm \u001b[38;5;241m=\u001b[39m \u001b[43mguidance\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mllms\u001b[49m\u001b[38;5;241m.\u001b[39mOpenAI(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgpt-3.5-turbo-16k\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;66;03m# prompts require ~6k tokens\u001b[39;00m\n", - "\u001b[0;31mAttributeError\u001b[0m: module 'guidance' has no attribute 'llms'" - ] - } - ], - "source": [ - "# this notebook works with any LLM supported by guidance. we obtained the best results with GPT-4\n", - "openai.organization = \"\"\n", - "openai.api_key = os.environ[\"OPENAI_API_KEY\"]\n", - "\n", - "llm = guidance.llms.OpenAI(\"gpt-3.5-turbo-16k\") # prompts require ~6k tokens" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SYSTEM: You are {an expert statisticial and data scientist}. You interpret global explanations produced by a generalized additive model (GAM). You answer all questions to the best of your ability, combining the data contained in the graph, any data set description you are given, and your knowledge about the real world.\n", - "USER: Below is the graph of a generalized additive model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take.\n", - " \n", - "The graph is provided in the following format:\n", - " - The name of the feature depicted in the graph\n", - " - The type of the feature (continuous, categorical, or boolean)\n", - " - Mean values\n", - " - Lower bounds of confidence interval (optional)\n", - " - Upper bounds of confidence interval (optional)\n", - "\n", - "{y-axis description (optional)}\n", - "\n", - "Here is the graph:\n", - "\n", - "{the graph}\n", - "\n", - "Please describe the general pattern of the graph. {special task description (optional)}\n", - "\n" - ] - } - ], - "source": [ - "messages = t2ebm.prompts.describe_graph(\"{the graph}\", \"{an expert statistician and data scientist}\", \"{y-axis description (optional)}\", \"{dataset description (optional)}\", \"{special task description (optional)}\")\n", - "print(\"SYSTEM:\", messages[0][\"content\"])\n", - "print(\"USER:\", messages[1][\"content\"])" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -130,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -149,14 +84,14 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/anaconda/envs/t2ebm_dev/lib/python3.8/site-packages/interpret/glassbox/_ebm/_ebm.py:666: UserWarning:\n", + "/home/sebastian/anaconda3/envs/tmcd/lib/python3.12/site-packages/interpret/glassbox/_ebm/_ebm.py:738: UserWarning:\n", "\n", "Missing values detected. Our visualizations do not currently display missing values. To retain the glassbox nature of the model you need to either set the missing values to an extreme value like -1000 that will be visible on the graphs, or manually examine the missing value score in ebm.term_scores_[term_index][0]\n", "\n" @@ -165,10 +100,10 @@ { "data": { "text/plain": [ - "0.7889591719378953" + "0.7832087406555491" ] }, - "execution_count": 8, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -185,49 +120,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - " \n", - " \n", - "
\n", - " \n", - " " - ], - "text/plain": [ - "" + "\n", + "" ] }, "metadata": {}, @@ -254,63 +154,67 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The feature \"HomePlanet\" has a significant influence on the outcome variable.\n", - "The mean values for each category indicate that individuals from \"Europa\" have\n", - "the strongest positive effect, followed by individuals from \"Mars\" with a\n", - "slightly positive effect. On the other hand, individuals from \"Earth\" have a\n", - "negative effect on the outcome. These effects are consistent with our\n", - "expectations, as \"Europa\" and \"Mars\" are likely associated with factors that\n", - "contribute positively to the outcome, while \"Earth\" may have characteristics\n", - "that negatively impact the outcome. However, it's important to consider the\n", - "uncertainty in these estimates, as indicated by the confidence intervals.\n", - "Overall, the \"HomePlanet\" feature plays a significant role in determining the\n", - "outcome, with individuals from different planets having varying effects.\n" + "The graph illustrates the effects of the categorical feature `HomePlanet` on a\n", + "dependent variable, as modeled by a Generalized Additive Model (GAM). The\n", + "feature `HomePlanet` includes three categories: \"Earth,\" \"Europa,\" and \"Mars.\"\n", + "Passengers from Europa exhibit a notably high positive mean effect of 0.5678 on\n", + "the dependent variable, with a tight confidence interval ranging from 0.5116 to\n", + "0.624, suggesting a strong and consistent positive impact. In contrast, Earth\n", + "shows a negative mean effect of -0.3246 with the confidence interval from -0.354\n", + "to -0.2952, indicating a robust negative association. Mars, while also positive,\n", + "has a much milder effect of 0.1713, with its confidence interval spanning from\n", + "0.1256 to 0.2171. This pronounced disparity in the effects, especially the\n", + "negative impact associated with Earth, is surprising and could hint at\n", + "underlying socio-economic or contextual factors influencing these outcomes.\n", + "Understanding these patterns might require further investigation into the\n", + "dataset's characteristics, including possible biases or the nature of the\n", + "dependent variable.\n" ] } ], "source": [ - "graph_description = t2ebm.llm_describe_ebm_graph(llm, ebm, 0) # feature 0, 'HomePlanet'\n", + "graph_description = t2ebm.describe_graph('gpt-4-turbo-2024-04-09', ebm, 0) # feature 0, 'HomePlanet'\n", "print(textwrap.fill(graph_description, 80))" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "INFO: The graph of feature Spa was simplified by 0.5%.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The \"Spa\" feature has a significant influence on the outcome, as demonstrated by\n", - "the non-linear pattern observed in the graph. The predicted values of the\n", - "outcome initially start high for lower values of the \"Spa\" feature, then rapidly\n", - "decrease before stabilizing at a lower value. This suggests that the presence or\n", - "absence of a spa has a substantial impact on the outcome. However, there are\n", - "regions in the graph where the relationship between the \"Spa\" feature and the\n", - "outcome is surprising or counterintuitive, indicating the influence of other\n", - "factors or interactions. Therefore, while the \"Spa\" feature is influential, it\n", - "is important to consider other variables and potential interactions to fully\n", - "understand its impact on the outcome.\n" + "INFO: The graph of feature Spa was simplified by 0.9%.\n", + "The graph from the Generalized Addible Model (GAM) portrays the relationship\n", + "between the continuous feature \"Spa\" and the model’s output, revealing a\n", + "generally negative correlation: as \"Spa\" values increase, the model's output\n", + "progressively decreases. Starting from a mean effect of 0.482 for \"Spa\" values\n", + "between 0.0 and 13.5, the effect diminishes substantially, reaching as low as\n", + "-6.405 at the highest interval (10567.0, 18572.0). A peculiar aspect is observed\n", + "in the interval (238.5, 240.5) where the mean effect slightly rises to -0.002,\n", + "suggesting a temporary plateau. Additionally, there is an unusual uptick to a\n", + "less negative value of -4.211 at the interval (3729.0, 3769.5), deviating from\n", + "the surrounding downward trend. These anomalies could indicate data\n", + "irregularities, threshold effects, or external factors influencing these\n", + "specific ranges. The steep decline in the model's output for high \"Spa\" values,\n", + "especially beyond 1053.5, is striking and may imply negative consequences of\n", + "excessive \"Spa\" usage such as financial or health repercussions. Overall, the\n", + "graph suggests that moderate \"Spa\" usage might be beneficial, but higher usage\n", + "correlates with increasingly negative outcomes.\n" ] } ], "source": [ - "graph_description = t2ebm.llm_describe_ebm_graph(llm, ebm, 9) # feature 9, 'Spa'\n", + "graph_description = t2ebm.describe_graph('gpt-4-turbo-2024-04-09', ebm, 9) # feature 9, 'Spa'\n", "print(textwrap.fill(graph_description, 80))" ] }, @@ -323,7 +227,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -352,7 +256,7 @@ "Name - The first and last names of the passenger.\n", "\"\"\"\n", "\n", - "y_axis_description = \"The y-axis depicts contributions in log-odds towards the outcome, that is the probability that the passenger was transported to another dimension.\"" + "graph_description = \"The y-axis depicts contributions in log-odds towards the outcome, that is the probability that the passenger was transported to another dimension.\"" ] }, { @@ -364,28 +268,33 @@ "name": "stdout", "output_type": "stream", "text": [ - "The HomePlanet feature has a significant influence on the probability of\n", - "passengers being transported to an alternate dimension during the collision with\n", - "the spacetime anomaly. Passengers from Earth have a negative effect, indicating\n", - "a lower likelihood of being transported compared to the reference category. On\n", - "the other hand, passengers from Europa have a positive effect, suggesting a\n", - "higher likelihood of being transported. Passengers from Mars also have a\n", - "positive effect, but to a lesser extent than passengers from Europa. These\n", - "findings are surprising as one might expect passengers from Earth to have a\n", - "higher probability of being transported, considering their proximity to the\n", - "spaceship's departure point. However, it is possible that passengers from Earth\n", - "were more prepared or took precautions to minimize their chances of being\n", - "transported. Further investigation is required to fully understand the reasons\n", - "behind these patterns.\n" + "The graph from the Generalized Additive Model (GAM) showcases the contributions\n", + "of different home planets—Earth, Europa, and Mars—towards the log-odds of\n", + "passengers being transported to another dimension on the Spaceship Titanic.\n", + "Passengers from Europa exhibit a strong positive contribution to the likelihood\n", + "of being transported, with a mean log-odds contribution of 0.5678, indicating a\n", + "higher propensity for these individuals to experience the anomalous event.\n", + "Conversely, Earth shows a negative contribution (-0.3246 mean log-odds),\n", + "suggesting that passengers from Earth are less likely to be transported compared\n", + "to the baseline. Mars, while also showing a positive contribution (0.1713 mean\n", + "log-odds), has a lesser effect than Europa, but still indicates an increased\n", + "likelihood over Earth. This pattern could suggest unique environmental,\n", + "technological, or cultural factors on Europa and Mars that influence their\n", + "inhabitants' interactions with the spacetime anomaly encountered during the\n", + "voyage. The observed negative contribution from Earth might hint at more\n", + "effective protective measures or less vulnerability to such spacetime\n", + "disturbances. These findings highlight planet-based differences in\n", + "susceptibility to extraordinary events, revealing insights into interplanetary\n", + "travel and safety in this futuristic scenario.\n" ] } ], "source": [ - "graph_description = t2ebm.llm_describe_ebm_graph(llm, \n", - " ebm,\n", - " 0, \n", - " dataset_description=dataset_description, \n", - " y_axis_description=y_axis_description)\n", + "graph_description = t2ebm.describe_graph('gpt-4-turbo-2024-04-09', \n", + " ebm,\n", + " 0, \n", + " graph_description=graph_description,\n", + " dataset_description=dataset_description)\n", "print(textwrap.fill(graph_description, 80))" ] }, @@ -398,33 +307,33 @@ "name": "stdout", "output_type": "stream", "text": [ - "INFO: The graph of feature Spa was simplified by 0.5%.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The feature \"Spa\" has a non-linear influence on the probability of being\n", - "transported to an alternate dimension during the collision with the spacetime\n", - "anomaly. The graph shows that as the amount billed at the Spa increases, the\n", - "predicted probability initially decreases, reaches a minimum value, and then\n", - "starts increasing again. This suggests that there might be an optimal range of\n", - "spending at the Spa associated with a higher probability of not being\n", - "transported. However, beyond this optimal range, further increase in spending at\n", - "the Spa is associated with a higher probability of being transported. This non-\n", - "linear relationship indicates that the influence of the Spa feature on the\n", - "outcome is complex and may depend on various other factors and interactions\n", - "within the dataset.\n" + "INFO: The graph of feature Spa was simplified by 0.9%.\n", + "The GAM graph for the \"Spa\" feature on the Spaceship Titanic dataset displays\n", + "the effect of spa expenditure on the log-odds of passengers being transported to\n", + "another dimension. The graph reveals an initial positive contribution to the\n", + "log-odds for low spa expenditures (0.0 to 13.5), suggesting a higher likelihood\n", + "of being transported for minimal spenders. However, as spa expenditures\n", + "increase, there is a consistent decrease in the log-odds, indicating that higher\n", + "spending on spa services correlates with a lower probability of transportation.\n", + "Notably, within certain high expenditure ranges, there are slight increases or\n", + "less negative contributions, such as the interval (238.5, 240.5) where the mean\n", + "log-odds are nearly zero, and the interval (3214.0, 3229.0) showing a less\n", + "negative contribution than adjacent intervals. These anomalies might suggest\n", + "data irregularities or unique behavioral patterns not captured elsewhere in the\n", + "data. The most significant negative log-odds are observed in the highest\n", + "expenditure bracket (6652.0 to 18572.0), implying a strong negative association\n", + "between excessive spa spending and the likelihood of being transported. This\n", + "pattern suggests complex interactions between spa expenditure and other socio-\n", + "economic or behavioral factors influencing the transportation event.\n" ] } ], "source": [ - "graph_description = t2ebm.llm_describe_ebm_graph(llm, \n", - " ebm,\n", - " 9, \n", - " dataset_description=dataset_description, \n", - " y_axis_description=y_axis_description)\n", + "graph_description = t2ebm.describe_graph('gpt-4-turbo-2024-04-09', \n", + " ebm,\n", + " 9, \n", + " graph_description=graph_description,\n", + " dataset_description=dataset_description)\n", "print(textwrap.fill(graph_description, 80))" ] }, @@ -437,53 +346,82 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "INFO: The graph of feature RoomService was simplified by 1.1%.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "INFO: The graph of feature FoodCourt was simplified by 0.4%.\n", - "INFO: The graph of feature ShoppingMall was simplified by 0.5%.\n", - "INFO: The graph of feature Spa was simplified by 0.5%.\n", - "INFO: The graph of feature VRDeck was simplified by 0.5%.\n", - "The Generalized Additive Model (GAM) for predicting whether a passenger was\n", - "transported to an alternate dimension during the collision with the spacetime\n", - "anomaly on the Spaceship Titanic reveals the following key findings: 1. The\n", - "most important features in the model are Spa, VRDeck, CryoSleep, RoomService,\n", - "and HomePlanet. 2. Spa spending has a significant influence, with an optimal\n", - "range associated with a higher probability of not being transported. 3. VRDeck\n", - "spending also plays a significant role, with an abrupt reversal in the effect at\n", - "a certain threshold. 4. Passengers in cryosleep had a higher probability of\n", - "being transported, suggesting their vulnerability to the anomaly. 5. Moderate\n", - "spending on room service is associated with a lower probability of being\n", - "transported. 6. Passengers from Europa and Mars have a higher probability of\n", - "being transported compared to those from Earth. 7. Other features such as Cabin,\n", - "Destination, Age, FoodCourt, ShoppingMall, and VIP also have some influence, but\n", - "less pronounced. 8. The model highlights unexpected patterns and complex\n", - "relationships between features and the outcome. 9. Further investigation is\n", - "needed to fully understand the underlying factors and interactions contributing\n", - "to these effects. In summary, the GAM model emphasizes the importance of spa\n", - "and VRDeck spending, cryosleep, room service, and home planet in predicting the\n", - "likelihood of being transported to an alternate dimension. The model uncovers\n", - "surprising insights and underscores the need for deeper investigation into the\n", - "cosmic mystery surrounding the Spaceship Titanic.\n" + "INFO: The graph of feature Age was simplified by 0.2%.\n", + "INFO: The graph of feature RoomService was simplified by 1.5%.\n", + "INFO: The graph of feature FoodCourt was simplified by 1.0%.\n", + "INFO: The graph of feature ShoppingMall was simplified by 0.9%.\n", + "INFO: The graph of feature Spa was simplified by 0.9%.\n", + "INFO: The graph of feature VRDeck was simplified by 1.0%.\n", + "HomePlanet: The graph from the Generalized Additive Model (GAM) illustrates the impact of the \"HomePlanet\" feature on the likelihood of passengers being transported to an alternate dimension during the Spaceship Titanic's collision with a spacetime anomaly. It categorically compares three home planets: Earth, Europa, and Mars. Passengers from Europa show a notably higher likelihood of transportation with a positive effect (mean = 0.5678), suggesting a significant vulnerability or a unique characteristic of Europa inhabitants in facing spacetime anomalies. In contrast, Earth exhibits a negative impact (mean = -0.3246), indicating a lower probability of their passengers being transported, which could imply better preventive measures or technologies. Mars falls between the two, with a positive but relatively mild effect (mean = 0.1713), hinting at a slight predisposition towards transportation compared to Earth but significantly less than Europa. This pattern highlights potential differences in technology, preparedness, or societal behaviors among the populations of these planets. The results are surprising, particularly the high positive effect for Europa and the negative effect for Earth, suggesting underlying differences in interaction with the spacetime anomaly or the emergency response strategies of each planet.\n", + "\n", + "CryoSleep: The graph represents the influence of the \"CryoSleep\" boolean feature on the predictions from a Generalized Additive Model (GAM) regarding the likelihood of passengers being transported to another dimension due to a spacetime anomaly on the Spaceship Titanic. It shows two distinct outcomes based on whether passengers were in CryoSleep (True) or not (False). Specifically, passengers not in CryoSleep (False) have a negative mean effect on the model's prediction (-0.447), suggesting a decreased likelihood of being transported. Contrastingly, passengers in CryoSleep (True) show a positive mean effect (0.814), indicating an increased likelihood of being transported. The confidence intervals for both states are tight, reinforcing the reliability of these estimates. This pattern is somewhat counterintuitive as one might expect that active passengers would have a higher likelihood of transportation due to more extensive interaction with the ship’s environment. The observed effect might be explained by specific interactions between the CryoSleep technology and the anomaly or unique properties of the CryoSleep chambers' location on the ship.\n", + "\n", + "Cabin: The GAM graph for the \"Cabin\" feature on the Spaceship Titanic reveals significant variations in the likelihood of passengers being transported to an alternate dimension based on their cabin location and orientation (Port vs Starboard). Notably, cabins on the Starboard side of decks B (\"B/S\") and C (\"C/S\") show the highest positive effects, suggesting passengers in these locations had a markedly higher likelihood of being transported. In contrast, cabins on the Port side and lower decks, especially on G (\"G/P\") and T (\"T/S\"), exhibit negative effects, indicating a lower likelihood of transportation. This asymmetric effect between Port and Starboard sides, particularly on the same decks, is surprising and could imply an uneven exposure to the spacetime anomaly or structural differences in ship design. Additionally, the strong negative impact in higher and potentially more isolated decks such as G and T is counterintuitive, as one might expect these areas to offer safer environments. Overall, the graph suggests a complex interaction between cabin location and the anomaly's effects, with certain areas of the ship being significantly more affected than others. This insight could be crucial for understanding the dynamics of the anomaly and improving safety measures in similar future scenarios.\n", + "\n", + "Destination: The GAM graph for the categorical feature \"Destination\" demonstrates the impact of three destinations on the likelihood of passengers being transported to an alternate dimension during the Spaceship Titanic's collision with a spacetime anomaly. The destinations analyzed are \"55 Cancri e,\" \"PSO J318.5-22,\" and \"TRAPPIST-1e.\" Interestingly, passengers headed to \"55 Cancri e\" exhibit a significantly higher likelihood of being transported, evidenced by a positive mean effect of 0.315 with a confidence interval from 0.2766 to 0.3534. In contrast, the destinations \"PSO J318.5-22\" and \"TRAPPIST-1e\" both show negative mean effects of -0.0924 and -0.0917 respectively, with their confidence intervals also lying entirely below zero, indicating a lower probability of transportation to an alternate dimension for these passengers. This pattern is surprising and suggests a unique risk associated with the route or conditions related to the destination \"55 Cancri e.\" Such findings could imply operational, navigational, or environmental factors specifically influencing the anomaly interaction for voyages to this destination. Further investigation into these factors could provide crucial insights into safety protocols and risk management for interstellar travel.\n", + "\n", + "Age: The graph derived from a Generalized Additive Model (GAM) illustrates the relationship between passengers' ages and the likelihood of being transported to an alternate dimension aboard the Spaceship Titanic. The graph reveals that infants (particularly those aged 0-0.5 years) show a notably high probability of transport, with a mean value peaking at 0.65. As age increases, there is a general downward trend in probability, particularly notable from late childhood through to early adulthood (ages 9.5 to around 39 years), where the likelihood even dips into negative values, suggesting a lower chance of being transported. Surprisingly, there is a sharp increase in the likelihood of transport for seniors, particularly around the age range of 73.5 to 74.5 years, where the mean value rises dramatically to about 0.212. However, this is followed by a steep decline for the oldest age group analyzed (77.5-79 years), where the mean probability falls sharply to -0.408. These patterns suggest complex age-related dynamics in the transportation anomaly, with very young and older seniors displaying higher probabilities, and a notably lower likelihood for younger adults and middle-aged individuals. Understanding these age-specific vulnerabilities or protections could be crucial for rescue operations and further investigations into the anomaly's mechanics.\n", + "\n", + "VIP: The GAM graph for the \"VIP\" feature from the Spaceship Titanic dataset shows how VIP status influences the likelihood of a passenger being transported to an alternate dimension during a spacetime anomaly. The graph indicates that non-VIP passengers (VIP = False) have a mean effect close to zero (-0.0006), with a wide confidence interval that spans both negative and positive values, suggesting minimal influence on the transportation likelihood. In contrast, VIP passengers (VIP = True) exhibit a significant negative mean effect (-0.145) with a confidence interval entirely below zero (-0.2277 to -0.0623), indicating a notably lower likelihood of being transported. This pattern is somewhat counterintuitive as one might expect that the spacetime anomaly's effect would be uniformly random, or that VIPs might be better protected or equipped to handle such incidents. The observed negative effect for VIPs suggests that their specific accommodations or the ship's protocols for VIP areas may have mitigated the impact of the anomaly. This highlights an interesting aspect of how structural or procedural differences associated with VIP status could influence outcomes in unexpected ways during crises. Overall, the graph provides valuable insights into the interaction between passenger status and the effects of unpredictable spacetime events on the spaceship.\n", + "\n", + "RoomService: The Generalized Additive Model (GAM) graph for the \"RoomService\" feature from the Spaceship Titanic dataset demonstrates a complex relationship between the amount spent on room service and the likelihood of passengers being transported to an alternate dimension. Initially, there is a slight positive association for very low expenditures (0.0 to 27.5), suggesting that minimal spending on room service slightly increases the likelihood of the outcome. However, as expenditure increases, the effect becomes progressively negative, particularly after the spending exceeds 201.5, indicating that higher spending on room service correlates with a decreased likelihood of being transported. This negative association deepens significantly at very high levels of expenditure, with particularly sharp declines observed in the intervals (2420.0, 2621.5) and (6377.0, 14327.0). The confidence intervals widen at these higher expenditure levels, reflecting increasing uncertainty in the predictions. Interestingly, there is a slight recovery in the effect in the highest expenditure bracket, suggesting a complex nonlinear relationship. These patterns could reflect underlying passenger behaviors, ship security measures, or data irregularities at extreme spending levels, indicating a need for further exploration into these segments.\n", + "\n", + "FoodCourt: The graph from the Generalized Additive Model (GAM) represents the relationship between the amount spent at the FoodCourt and the likelihood of being transported to an alternate dimension aboard the Spaceship Titanic. It showcases a generally increasing trend: as spending increases, so does the predicted effect on the likelihood of transportation. Initially, for very low spending (0 to about 60), the effect sizes are slightly negative, indicating a minor decrease in the probability of transportation. However, as spending increases, particularly beyond 60 units, there is a noticeable upward trend in the effect sizes, suggesting higher FoodCourt expenditure correlates positively with the chances of being transported. Notably, there are surprising jumps and dips in the graph; for instance, a dramatic dip in effect size at a spending range of 1820 to 1894, and a significant jump between 3862.5 and 3871.0 in spending. These unexpected patterns could indicate non-linear relationships or particular thresholds in spending that markedly change the likelihood of transportation. The widening confidence intervals at higher spending levels suggest increased variability, possibly due to fewer observations or more heterogeneous characteristics within these passenger segments.\n", + "\n", + "ShoppingMall: The GAM graph for the \"ShoppingMall\" feature on the Spaceship Titanic dataset illustrates the impact of the amount spent at the shopping mall on the likelihood of a passenger being transported to an alternate dimension. The feature is continuous, and the effect of the spending on the predicted outcome is nonlinear. Initially, there is a negative correlation between the amount spent and the likelihood of transportation, with the effect becoming less negative as spending increases from 0 up to about 627.0. Surprisingly, at around 627.0, there is a sharp transition where the predicted value jumps from negative to positive, suggesting a threshold effect where higher spending suddenly increases the likelihood of being transported. Another notable pattern is the sudden drop and subsequent spike in the predicted values between the intervals 1826.5 to 1849.5, which is counterintuitive and may indicate data anomalies or unique interactions. As the expenditure increases, particularly beyond 1644.0, the confidence intervals widen, indicating increased uncertainty in predictions at higher expenditure levels. Overall, the graph shows a complex relationship between ShoppingMall spending and the event of transportation, highlighting specific spending thresholds that significantly alter the likelihood of being transported to an alternate dimension.\n", + "\n", + "Spa: The graph from the Generalized Additive Model (GAM) for the \"Spa\" feature on the Spaceship Titanic dataset illustrates a generally decreasing trend in predicted values as expenditure on spa services increases. Starting with a positive mean value of 0.482 in the lowest expenditure bracket (0.0, 13.5), the prediction gradually declines, transitioning to negative values from the interval (169.0, 204.5) onward. The decline becomes notably steeper in higher expenditure ranges, with a significant drop observed past the (3214.0, 3229.0) interval, where values plummet to -5.084, continuing to decrease to -6.405 in the highest bracket (10567.0, 18572.0). This sharp decline at high expenditures is counterintuitive, suggesting a complex, possibly non-linear relationship between spa spending and the model's outcome. Additionally, there are minor fluctuations in the highly negative ranges, indicating potential outliers or threshold effects influencing the predictions. The confidence intervals provided widen in higher spending brackets, reflecting increasing uncertainty in predictions as expenditures rise. This graph underscores the nuanced interaction between luxury spending and predicted outcomes, revealing insights that could guide further investigation into passenger behavior or model refinement.\n", + "\n", + "VRDeck: The graph from the Generalized Additive Model (GAM) for the \"VRDeck\" feature exhibits a generally decreasing trend in the predicted outcome as the expenditure on the VRDeck increases. Notably, the effect starts slightly positive or neutral at very low expenditures but becomes increasingly negative as spending rises. This suggests that higher spending on the VRDeck is associated with a lower likelihood of being transported to an alternate dimension. There are specific intervals, such as [(785.5, 789.5)], [(1898.5, 1909.5)], and especially [(4105.0, 4147.0)] where the model output shows counterintuitive or abrupt changes. These include unexpected less negative peaks or sharp declines in the predicted effect, suggesting complex interactions or anomalies within the data that deviate from the overall trend. Such observations highlight the potential influence of other unmodeled factors or unique groups of passengers. Understanding these irregularities could require further investigation into the interaction with other features or a deeper examination of the data quality and distribution in these specific ranges.\n", + "The Generalized Additive Model (GAM) applied to the Spaceship Titanic dataset\n", + "has uncovered significant relationships between passenger features and the\n", + "likelihood of being transported to an alternate dimension during a spacetime\n", + "anomaly. Here's a condensed summary of the key findings: 1. **CryoSleep**\n", + "(Feature Importance: 0.56): - Passengers in CryoSleep are significantly more\n", + "likely to be transported (mean effect = 0.814) compared to those not in\n", + "CryoSleep (mean effect = -0.447). This suggests unique interactions between the\n", + "CryoSleep technology and the anomaly. 2. **Spa** (Feature Importance: 0.72):\n", + "- There is a strong negative correlation between spa spending and the likelihood\n", + "of transportation, with a steep decline in likelihood as expenditures increase.\n", + "This counterintuitive pattern points to complex, non-linear effects of luxury\n", + "expenditures on outcomes. 3. **VRDeck** (Feature Importance: 0.63): - Higher\n", + "spending on the VRDeck is associated with a lower likelihood of being\n", + "transported, with an increasing negative effect as expenditure rises. 4.\n", + "**RoomService** (Feature Importance: 0.48): - Minimal initial spending on\n", + "room service slightly increases the likelihood of being transported, but as\n", + "spending rises, the effect becomes negatively pronounced. This indicates complex\n", + "interactions influenced by passenger behavior or security measures. 5.\n", + "**HomePlanet** (Feature: 0.35): - Europa passengers are notably more likely\n", + "to be transported (mean = 0.5678) compared to those from Earth (mean = -0.3246)\n", + "and Mars (mean = 0.1713), suggesting differences in technology or emergency\n", + "responses among the planets. 6. **Cabin** (Feature: 0.39): - Cabin location\n", + "significantly affects transportation likelihood, with notable disparities\n", + "between cabin sides (Port vs. Starboard) on the same deck, indicating uneven\n", + "exposure to the anomaly or structural differences in the ship. Surprising\n", + "Patterns: - **Age**: There's a non-linear relationship with age, where both very\n", + "young and older seniors show higher transportation probabilities, highlighting\n", + "age-specific dynamics in anomaly interaction. - **Destination**: Passengers to\n", + "\"55 Cancri e\" have a higher transportation likelihood compared to other\n", + "destinations, indicating unique risks associated with this route. This GAM\n", + "analysis provides crucial insights into the dynamics of spacetime anomalies in\n", + "interstellar travel, emphasizing the importance of considering complex and non-\n", + "linear interactions between features and outcomes for safety and operational\n", + "strategies.\n" ] } ], "source": [ - "model_description = t2ebm.llm_describe_ebm(llm, \n", - " ebm,\n", - " dataset_description=dataset_description, \n", - " y_axis_description=y_axis_description) # by default this creates a 30 sentence summary\n", + "model_description = t2ebm.describe_ebm('gpt-4-turbo-2024-04-09', \n", + " ebm,\n", + " dataset_description=dataset_description,\n", + " outcome_description=graph_description) # by default this creates a 30 sentence summary\n", "print(textwrap.fill(model_description, 80))" ] }, @@ -496,7 +434,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -512,12 +450,12 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -533,12 +471,12 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -560,12 +498,12 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiIAAAHHCAYAAACC1TOGAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAA0NElEQVR4nO3deXwV9b3/8fckJCcJIQskEAJJIIBsgiyRNIIKFQWkisqiXqoEKRWLVQtXIXUBfVwFRe2Citw+ZKl6i1IVe9VWBaFWCUsQrAihgiyRvUASBHKyfX9/+Mu5HLKQQE6+OTmv5+Mxj8c5M9+Z+XwzCefNd2bOOMYYIwAAAAuCbBcAAAACF0EEAABYQxABAADWEEQAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAhweXl5CgsL0+eff267lGotWbJEjuNoz549tkupdy+//LKSk5PldrttlwJYQRABGtBXX32lMWPGKCUlRWFhYWrXrp2uvfZazZ8/31pNTzzxhNLT0zVw4EBrNVR46qmntGLFCttlNKjMzEwVFxdr4cKFtksBrHB41gzQMNauXashQ4YoOTlZEyZMUEJCgvLy8rRu3Trt2rVLO3fubPCajh49qnbt2mnp0qW6/fbbG3z/54qMjNSYMWO0ZMkSr/llZWUqKSmRy+WS4zh2ivOhGTNm6I033tDu3bubZP+AmjSzXQAQKJ588klFR0dr48aNiomJ8Vp25MgRKzW99tpratasmW644QYr+6+t4OBgBQcH2y7DZ8aNG6dnnnlGq1ev1o9//GPb5QANilMzQAPZtWuXevbsWSmESFLr1q293juOo3vvvVevv/66unbtqrCwMPXv31+ffvqpV7u9e/fqF7/4hbp27arw8HC1atVKY8eOrfW1FCtWrFB6eroiIyMrLVu/fr2uv/56xcbGqnnz5urdu7d+97vfebX55JNPdOWVV6p58+aKiYnRqFGjtH37dq82s2fPluM42rlzpzIzMxUTE6Po6GhNnDhRp0+f9urzqVOntHTpUjmOI8dxlJmZKanqa0Q6dOign/zkJ/rss880YMAAhYWFKTU1VX/84x+r3P+5qrvu5KWXXlLPnj3lcrmUmJioqVOnKj8/36tNhw4dPLWdbfDgwRo8eLDXvPnz56tnz56KiIhQbGys0tLS9D//8z9ebfr376+WLVvq3XffrbRNoKkjiAANJCUlRZs2bdLWrVtr1f7vf/+7HnjgAf30pz/VE088oWPHjmn48OFe62/cuFFr167Vbbfdpt///veaMmWKVq1apcGDB3t9yFelpKREGzduVL9+/Sot+/jjj3XVVVdp27Ztuv/++/Xcc89pyJAheu+99zxtVq5cqWHDhunIkSOaPXu2pk2bprVr12rgwIFVBqFx48bp5MmTmjNnjsaNG6clS5bo8ccf9yx/9dVX5XK5dOWVV+rVV1/Vq6++qrvvvrvGPuzcuVNjxozRtddeq+eee06xsbHKzMzU119/XeN61Zk9e7amTp2qxMREPffccxo9erQWLlyo6667TiUlJXXe3h/+8Afdd9996tGjh37729/q8ccfV58+fbR+/fpKbfv169eoLxgGfMYAaBAfffSRCQ4ONsHBwSYjI8M89NBD5sMPPzTFxcWV2koykkxOTo5n3t69e01YWJi5+eabPfNOnz5dad3s7Gwjyfzxj3+ssZ6dO3caSWb+/Ple80tLS03Hjh1NSkqKOXHihNey8vJyz+s+ffqY1q1bm2PHjnnmffnllyYoKMjceeednnmzZs0yksxdd93lta2bb77ZtGrVymte8+bNzYQJEyrVunjxYiPJ7N692zMvJSXFSDKffvqpZ96RI0eMy+Uy06dPr7T/823zyJEjJjQ01Fx33XWmrKzM0+6FF14wksyiRYu89l1VnVdffbW5+uqrPe9HjRplevbsWaldVX7+85+b8PDwWrUFmhJGRIAGcu211yo7O1s33nijvvzySz3zzDMaNmyY2rVrp7/85S+V2mdkZKh///6e98nJyRo1apQ+/PBDlZWVSZLCw8M9y0tKSnTs2DF17txZMTEx+uKLL2qs59ixY5Kk2NhYr/mbN2/W7t279cADD1Q6jVRxiuPgwYPasmWLMjMz1bJlS8/y3r1769prr9UHH3xQaX9Tpkzxen/llVfq2LFjKiwsrLHOmvTo0UNXXnml5318fLy6du2qb7/9ts7bWrlypYqLi/XAAw8oKOj//mmcPHmyoqKi9P7779d5mzExMfruu++0cePG87aNjY3VmTNnzjuSBTQ1BBGgAV1++eV6++23deLECW3YsEFZWVk6efKkxowZo23btnm17dKlS6X1L7nkEp0+fVpHjx6VJJ05c0aPPfaYkpKS5HK5FBcXp/j4eOXn56ugoKBWNZlzbpzbtWuXJOnSSy+tdp29e/dKkrp27VppWffu3fXvf/9bp06d8pqfnJzs9b4iAJ04caJWdVbl3G1WbPdCtlldn0JDQ5WamupZXhczZsxQZGSkBgwYoC5dumjq1KnVnn6pOA7cNYNAQxABLAgNDdXll1+up556SgsWLFBJSYmWL19e5+388pe/1JNPPqlx48bpzTff1EcffaSPP/5YrVq1Unl5eY3rtmrVStLFBYG6qO6ul3ODUH1vs7oP9opRpQtR2212795dO3bs0LJlyzRo0CC99dZbGjRokGbNmlVp3RMnTigiIsJrlAsIBAQRwLK0tDRJP5zuONs333xTqe2//vUvRUREKD4+XpL05z//WRMmTNBzzz3nuWhz0KBBle7yqEpycrLCw8O1e/dur/mdOnWSpBovqk1JSZEk7dixo9Ky3NxcxcXFqXnz5uet4Vy+GA2oGHk592dy7ghHdX0qLi7W7t27PcsrtlnVz7iqUZPmzZvr1ltv1eLFi7Vv3z6NHDlSTz75pIqKirza7d69W927d691v4CmgiACNJDVq1dX+b//iuspzj0lkJ2d7XWdR15ent59911dd911npGA4ODgStucP39+rf63HxISorS0NOXk5HjN79evnzp27Kjf/va3lT5sK/bVtm1b9enTR0uXLvVqs3XrVn300Ue6/vrrz7v/qjRv3rxWIaouKoLV2bc+V9wmfLahQ4cqNDRUv//9771+pq+88ooKCgo0cuRIr22uW7dOxcXFnnnvvfee8vLyvLZZcR1OhdDQUPXo0UPGmEp34XzxxRe64oorLrCXgP/iC82ABvLLX/5Sp0+f1s0336xu3bqpuLhYa9eu1RtvvKEOHTpo4sSJXu0vvfRSDRs2TPfdd59cLpdeeuklSfK65fUnP/mJXn31VUVHR6tHjx7Kzs7WypUrPaddzmfUqFF6+OGHVVhYqKioKElSUFCQFixYoBtuuEF9+vTRxIkT1bZtW+Xm5urrr7/Whx9+KEmaN2+eRowYoYyMDE2aNElnzpzR/PnzFR0drdmzZ1/Qz6h///5auXKlnn/+eSUmJqpjx45KT0+/oG1VuO6665ScnKxJkybpwQcfVHBwsBYtWqT4+Hjt27fP0y4+Pl5ZWVl6/PHHNXz4cN14443asWOHXnrpJV1++eX66U9/6mn7s5/9TH/+8581fPhwjRs3Trt27dJrr73mCT1n7zshIUEDBw5UmzZttH37dr3wwgsaOXKkWrRo4Wm3adMmHT9+XKNGjbqovgJ+ydr9OkCA+etf/2ruuusu061bNxMZGWlCQ0NN586dzS9/+Utz+PBhr7aSzNSpU81rr71munTpYlwul+nbt69ZvXq1V7sTJ06YiRMnmri4OBMZGWmGDRtmcnNzq7299FyHDx82zZo1M6+++mqlZZ999pm59tprTYsWLUzz5s1N7969K93qu3LlSjNw4EATHh5uoqKizA033GC2bdvm1abi9tmjR496za/qltzc3Fxz1VVXmfDwcCPJ04fqbt8dOXJkpbrPvYXWGGM2bdpk0tPTTWhoqElOTjbPP/98lds05ofbdbt162ZCQkJMmzZtzD333FPpNmZjjHnuuedMu3btjMvlMgMHDjQ5OTmV9r1w4UJz1VVXmVatWhmXy2U6depkHnzwQVNQUOC1rRkzZpjk5GSv26OBQMGzZoBGyHEcTZ06VS+88ILP9zVp0iT961//0j/+8Q+f7wuVud1udejQQTNnztT9999vuxygwXGNCBDgZs2apY0bN/KtnpYsXrxYISEhlb5nBQgUjIgAjVBDjogAgE2MiAAAAGu4awZohBioBBAoGBEBAADWEEQAAIA1jfrUTHl5uQ4cOKAWLVrwICgAAPyEMUYnT55UYmKi19Osq9Kog8iBAweUlJRkuwwAAHAB8vLy1L59+xrb+DSIfPrpp5o3b542bdqkgwcP6p133tFNN91U6/UrvgI5Ly/P8/XTAACgcSssLFRSUpLXowyq49MgcurUKV122WW66667dMstt9R5/YrTMVFRUQQRAAD8TG0uq/BpEBkxYoRGjBjhy10AAAA/1qiuEXG73XK73Z73hYWFFqsBAAC+1qhu350zZ46io6M9ExeqAgDQtDWqIJKVlaWCggLPlJeXZ7skAADgQ43q1IzL5ZLL5bJdBgAAaCCNakQEAAAEFp+OiHz//ffauXOn5/3u3bu1ZcsWtWzZUsnJyb7cNQAA8AM+DSI5OTkaMmSI5/20adMkSRMmTNCSJUt8uWsAAOAHfBpEBg8ezOPMAQBAtbhGBAAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYE9BB5KvvCmyXAABAQAvoIAIAAOwiiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwJiCDiDFGp4tLVVRSJmOM7XIAAAhYzWwXYMOZkjL1eOxDSVJaSqyWT8mQ4ziWqwIAIPAE5IjI2XL2ntCZkjLbZQAAEJACMoiEhwQr55GhtssAACDgBWQQcRxHEaHBtssAACDgBWQQAQAAjQNBBAAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWEEQkfb2/0HYJAAAEJIKIpHJjVF7Ow+8AAGhoBBFJt/73OqX++gPCCAAADYwgcpZjp4ptlwAAQEAJ2CASHhKstJRYr3lFPIUXAIAGFbBBxHEcLZ+SoRdu72u7FAAAAlbABhHphzDiCuEpvAAA2BLQQQQAANgV8EGkW0ILz+vcQyf11XcFFqsBACCwNEgQefHFF9WhQweFhYUpPT1dGzZsaIjdAgCARs7nQeSNN97QtGnTNGvWLH3xxRe67LLLNGzYMB05csTXuwYAAI2cz4PI888/r8mTJ2vixInq0aOHXn75ZUVERGjRokW+3jUAAGjkfBpEiouLtWnTJg0dOvT/dhgUpKFDhyo7O9uXuwYAAH6gmS83/u9//1tlZWVq06aN1/w2bdooNze3Unu32y232+15X1jIw+gAAGjKGtVdM3PmzFF0dLRnSkpKsl0SAADwIZ8Gkbi4OAUHB+vw4cNe8w8fPqyEhIRK7bOyslRQUOCZ8vLyfFkeAACwzKdBJDQ0VP3799eqVas888rLy7Vq1SplZGRUau9yuRQVFeU1AQCApsun14hI0rRp0zRhwgSlpaVpwIAB+u1vf6tTp05p4sSJvt51nblLylRUUiZjjBzHsV0OAABNns+DyK233qqjR4/qscce06FDh9SnTx/97W9/q3QBqy2xzUM9r+/902ZJUlpKrJZPySCMAADgY44xxtguojqFhYWKjo5WQUGBz07TGGM0esFafbEv32v+tieGKSLU5zkNAIAmpy6f3wH/Ses4jt665wrl7DmhopIy3bGIr58HAKChBHwQkX4II2EhwbbLAAAg4DSq7xEBAACBhSACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKzh9t1qfL2/0OuW3l7toy1WAwBA08SICAAAsIYRkf+vV/tonS4utV0GAAABhRERAABgDUEEAABYQxABAADWEEQAAIA1XKxajaKSMq/3xhg5jmOpGgAAmiaCSDXuWLTB631aSqyWT8kgjAAAUI84NXOW8JBgpaXEVrksZ+8JnTlnlAQAAFwcRkTO4jiOlk/JUM6eE555RSVllUZHAABA/SCInMNxHK+vdgcAAL7DqRkAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWMPtu1Xo1T7a8/p0canFSgAAaNoYEQEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYwxea1cHX+wsVFhLseX/2F58BAIC689mIyJNPPqkrrrhCERERiomJ8dVuAACAH/NZECkuLtbYsWN1zz33+GoXAADAz/ns1Mzjjz8uSVqyZImvdgEAAPxco7pGxO12y+12e94XFhZarAYAAPhao7prZs6cOYqOjvZMSUlJtkvyUlRS5jUZY2yXBACAX6tTEJk5c6Ycx6lxys3NveBisrKyVFBQ4Jny8vIueFv15eyscceiDRq7MPv/ppezCSMAAFyEOp2amT59ujIzM2tsk5qaesHFuFwuuVyuC17fF86UlFW7LGfvCZ0pKVNEaKM6wwUAgN+o0ydofHy84uPjfVVLo/eHO9MUEx6iopIy3bFog+1yAADwez77r/y+fft0/Phx7du3T2VlZdqyZYskqXPnzoqMjPTVbn0qrFmQ1xeaAQCAi+OzIPLYY49p6dKlnvd9+/aVJK1evVqDBw/21W4BAIAf8dldM0uWLJExptJECAEAABW4yvIinfv8merwXBoAACprVN8jAgAAAgsjInXQPTFKcZEunS4utV0KAABNAiMiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAa7pq5SEU1PBTvbMYYOY7j42oAAPAvBJGLVNuH36WlxGr5lAzCCAAAZ+HUzHm0jAit9Do8JFhpKbF12k7O3hM6U8vREwAAAgUjIucRFOTo26eu97yWJMdxtHxKhnL2nDjv+kUlZbUeNQEAINAQRGqhIoCczXGcWj1jBgAAVI9TMwAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhtt3L0Kv9tHnbXO6uLQBKgEAwD8xIgIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABr+Ir3BvT1/kKFhQRf8Pq1+Up5AAD8CSMiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAanwWRPXv2aNKkSerYsaPCw8PVqVMnzZo1S8XFxb7aJQAA8DM+u303NzdX5eXlWrhwoTp37qytW7dq8uTJOnXqlJ599llf7RYAAPgRnwWR4cOHa/jw4Z73qamp2rFjhxYsWEAQAQAAkhr4C80KCgrUsmXLape73W653W7P+8LCwoYoCwAAWNJgF6vu3LlT8+fP1913311tmzlz5ig6OtozJSUlNVR5AADAgjoHkZkzZ8pxnBqn3Nxcr3X279+v4cOHa+zYsZo8eXK1287KylJBQYFnysvLq3uPAACA36jzqZnp06crMzOzxjapqame1wcOHNCQIUN0xRVX6L//+79rXM/lcsnlctW1JL9RVFJ2UesbY+Q4Tj1VAwCAfXUOIvHx8YqPj69V2/3792vIkCHq37+/Fi9erKCgwP7akjsWbbio9dNSYrV8SgZhBADQZPgsGezfv1+DBw9WcnKynn32WR09elSHDh3SoUOHfLXLRik8JFhpKbH1sq2cvSd05iJHVQAAaEx8dtfMxx9/rJ07d2rnzp1q37691zJjjK922+g4jqPlUzKUs+fEBW+jqKTsokdTAABojHw2IpKZmSljTJVToHEcR2EhwRc1AQDQFAX2RRsAAMAqgggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACs8dlD7+CtV/voC173dHGp53UAPqoHANCEMSLiZ8a+nB2QDw4EADRNBBE/EB4SrB5toyRJ2w4W6kxJmeWKAACoHwQRP+A4jpZPybBdBgAA9Y4g4iccx3YFAADUP4IIAACwhrtm/NhX3xXUeZ2LuXsHAID6xogIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABrmtkuABfGGKOikrILWs9xHB9UBABA3RFE/JAx0piXs7Vp74k6r5uWEqvlUzIIIwCARoFTM37oTEnZBYUQScrZe0JnLmAkBQAAX/DpiMiNN96oLVu26MiRI4qNjdXQoUP19NNPKzEx0Ze7DSiv3jVAYSHB521XVFKmOxZtaICKAACoPZ+OiAwZMkRvvvmmduzYobfeeku7du3SmDFjfLnLgBMWElzrCQCAxsanIyK/+tWvPK9TUlI0c+ZM3XTTTSopKVFISIgvdw0AAPxAg12sevz4cb3++uu64oorqg0hbrdbbrfb876wsLChygMAABb4/GLVGTNmqHnz5mrVqpX27dund999t9q2c+bMUXR0tGdKSkrydXkAAMCiOgeRmTNnynGcGqfc3FxP+wcffFCbN2/WRx99pODgYN15550yxlS57aysLBUUFHimvLy8C+8ZAABo9Op8amb69OnKzMyssU1qaqrndVxcnOLi4nTJJZeoe/fuSkpK0rp165SRkVFpPZfLJZfLVdeSAs72A5yyAgA0DXUOIvHx8YqPj7+gnZWXl0uS13UgAAAgcPnsYtX169dr48aNGjRokGJjY7Vr1y49+uij6tSpU5WjIWg4X+8vrLfbeXu1j66X7QAAApPPLlaNiIjQ22+/rWuuuUZdu3bVpEmT1Lt3b/3973/n9AsAAJDkwxGRXr166ZNPPvHV5gEAQBPAs2YAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWOOz7xFBw+jZLkoRoec/jKeLSxugGgAA6oYRET9UVFpuuwQAAOoFIyJ+aPIfcy5q/aKSshqXu5oFyXGci9oHAAC1QRDxE+EhwUpLiVXO3hOeeWkpsQq/gIfX3bFoQ43Lu7eN0tO39CKMAAB8jiDiJxzH0fIpGcrZc1YQ6RBb67BQVZCpzvaDhXKXltfbE3oBAKgOQcSPOI7jFQ7qMmJRVZA5V1FJ2XlHSwAAqE8EkQBybpABAMA27poBAADWEEQAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANXzFu5/p1T7adgkAANQbRkQAAIA1jIgEmJpGVE4XlzZgJQAAMCICAAAsIogAAABrODWDKhWVlNWqnTFGjuP4uBoAQFNFEEGV7li0oVbt0lJitXxKBmEEAHBBODUDj/CQYKWlxNZpnZy9J3SmlqMnAACcixEReDiOo+VTMpSz58R52xaVlNV61AQAgOoQRODFcRyFhQTbLgMAECA4NQMAAKxpkCDidrvVp08fOY6jLVu2NMQuAQCAH2iQIPLQQw8pMTGxIXYFAAD8iM+DyF//+ld99NFHevbZZ329KwAA4Gd8erHq4cOHNXnyZK1YsUIRERG+3BUAAPBDPgsixhhlZmZqypQpSktL0549e867jtvtltvt9rwvLCz0VXkAAKARqPOpmZkzZ8pxnBqn3NxczZ8/XydPnlRWVlattz1nzhxFR0d7pqSkpLqWBwAA/IhjjDF1WeHo0aM6duxYjW1SU1M1btw4/e///q/XV3+XlZUpODhY48eP19KlSyutV9WISFJSkgoKChQVFVWXMnERvvqu4LxtikrKNHZhtiRp2xPDFBHKV9IAAH5QWFio6OjoWn1+1/nTIz4+XvHx8edt9/vf/17/9V//5Xl/4MABDRs2TG+88YbS09OrXMflcsnlctW1JAAA4Kd89t/Y5ORkr/eRkZGSpE6dOql9+/a+2i0AAPAjfLMqAACwpsFO7Hfo0EF1vBwFAAA0cYyIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAaxrs6btour7eX6iwkODztuvVProBqgEA+BNGRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANdw1g0pqc3fL6eLSBqgEANDUMSICAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMCaZrYLQOD46rsCr/e92kdbqgQA0Fj4dESkQ4cOchzHa5o7d64vdwkAAPyIz0dEnnjiCU2ePNnzvkWLFr7eJQAA8BM+DyItWrRQQkKCr3cDAAD8kM8vVp07d65atWqlvn37at68eSotLa22rdvtVmFhodcEAACaLp+OiNx3333q16+fWrZsqbVr1yorK0sHDx7U888/X2X7OXPm6PHHH/dlSQAAoBFxjDGmLivMnDlTTz/9dI1ttm/frm7dulWav2jRIt199936/vvv5XK5Ki13u91yu92e94WFhUpKSlJBQYGioqLqUiZ87HRxqXo89qEkafndGQoLCa7zNrhrBgCapsLCQkVHR9fq87vOIyLTp09XZmZmjW1SU1OrnJ+enq7S0lLt2bNHXbt2rbTc5XJVGVAAAEDTVOcgEh8fr/j4+Ava2ZYtWxQUFKTWrVtf0PoAAKBp8dk1ItnZ2Vq/fr2GDBmiFi1aKDs7W7/61a/005/+VLGxsb7aLQAA8CM+CyIul0vLli3T7Nmz5Xa71bFjR/3qV7/StGnTfLVLAADgZ3wWRPr166d169b5avMAAKAJ4KF3AADAGh56h4tWVFJWq3auZkFyHMfH1QAA/AlBBBftjkUbatWue9soPX1LL8IIAMCDUzO4IOEhwUpLqdvdT9sPFspdWu6jigAA/ogREVwQx3G0fEqGcvacOG/bopKyWo+aAAACC0EEF8xxnAv6ancAACpwagYAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWMNdM7Dmq+8KbJcAAAGvV/toq/tnRAQAAFhDEAEAANYQRAAAgDUEEQAAYA0Xq6JBFZWUeV67mgXxJF4ACHAEETSosx9+171tlJ6+pRdhBAACGKdm4HOuZkHq3jaq0vztBwvlLi23UBEAoLFgRAQ+5ziOnr6llyd0FJWUeY2MAAACF0EEDcJxHIWFBNsuAwDQyHBqBgAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWMPTd2FVUUmZ7RIAIKCdLi5VeEiwHMexsn+CCKy6Y9EG2yUAQMDb9sQwRYTaiQQ+PTXz/vvvKz09XeHh4YqNjdVNN93ky93BT7iaBal72yjbZQAAGgGfxZ+33npLkydP1lNPPaUf//jHKi0t1datW321O/gRx3H09C295C4tt10KAAS8nu2iFB4SbG3/PgkipaWluv/++zVv3jxNmjTJM79Hjx6+2B38kOM4CrP4iw8A+IGtUzIVfLL3L774Qvv371dQUJD69u2rQ4cOqU+fPpo3b54uvfTSatdzu91yu92e94WFhb4oD/WoV/voWrf96rsCH1YCAPBHPrlG5Ntvv5UkzZ49W4888ojee+89xcbGavDgwTp+/Hi1682ZM0fR0dGeKSkpyRflAQCARqJOQWTmzJlyHKfGKTc3V+XlP5z7f/jhhzV69Gj1799fixcvluM4Wr58ebXbz8rKUkFBgWfKy8u7uN4BAIBGrU6nZqZPn67MzMwa26SmpurgwYOSvK8JcblcSk1N1b59+6pd1+VyyeVy1aUkAADgx+oUROLj4xUfH3/edv3795fL5dKOHTs0aNAgSVJJSYn27NmjlJSUC6sUAAA0OT65WDUqKkpTpkzRrFmzlJSUpJSUFM2bN0+SNHbsWF/sEgAA+CGf3bMzb948NWvWTHfccYfOnDmj9PR0ffLJJ4qNjfXVLgEAgJ9xjDHGdhHVKSwsVHR0tAoKChQVxTdx+jtu3wWAxqcuX8NQW3X5/ObpuwAAwBqCCAAAsIan76LBnDv8x6kaAAAjIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKzhWTOwxhePngYA+BdGRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWNPMdgE1McZIkgoLCy1XAgAAaqvic7vic7wmjTqInDx5UpKUlJRkuRIAAFBXJ0+eVHR0dI1tHFObuGJJeXm5Dhw4oBYtWshxnHrddmFhoZKSkpSXl6eoqKh63XZjFGj9legzfW6aAq2/En32xz4bY3Ty5EklJiYqKKjmq0Aa9YhIUFCQ2rdv79N9REVF+eVBvlCB1l+JPgeKQOtzoPVXos/+5nwjIRW4WBUAAFhDEAEAANYEbBBxuVyaNWuWXC6X7VIaRKD1V6LPgSLQ+hxo/ZXoc1PXqC9WBQAATVvAjogAAAD7CCIAAMAagggAALCGIAIAAKwJyCDy4osvqkOHDgoLC1N6ero2bNhgu6RamTNnji6//HK1aNFCrVu31k033aQdO3Z4tRk8eLAcx/GapkyZ4tVm3759GjlypCIiItS6dWs9+OCDKi0t9WqzZs0a9evXTy6XS507d9aSJUt83b0qzZ49u1J/unXr5lleVFSkqVOnqlWrVoqMjNTo0aN1+PBhr234U387dOhQqb+O42jq1KmSmsbx/fTTT3XDDTcoMTFRjuNoxYoVXsuNMXrsscfUtm1bhYeHa+jQofrmm2+82hw/flzjx49XVFSUYmJiNGnSJH3//fdebf75z3/qyiuvVFhYmJKSkvTMM89UqmX58uXq1q2bwsLC1KtXL33wwQf13l+p5j6XlJRoxowZ6tWrl5o3b67ExETdeeedOnDggNc2qvrdmDt3rl/2WZIyMzMr9Wf48OFebfzpOJ+vv1X9XTuOo3nz5nna+NsxrjcmwCxbtsyEhoaaRYsWma+//tpMnjzZxMTEmMOHD9su7byGDRtmFi9ebLZu3Wq2bNlirr/+epOcnGy+//57T5urr77aTJ482Rw8eNAzFRQUeJaXlpaaSy+91AwdOtRs3rzZfPDBByYuLs5kZWV52nz77bcmIiLCTJs2zWzbts3Mnz/fBAcHm7/97W8N2l9jjJk1a5bp2bOnV3+OHj3qWT5lyhSTlJRkVq1aZXJycsyPfvQjc8UVV3iW+1t/jxw54tXXjz/+2Egyq1evNsY0jeP7wQcfmIcffti8/fbbRpJ55513vJbPnTvXREdHmxUrVpgvv/zS3HjjjaZjx47mzJkznjbDhw83l112mVm3bp35xz/+YTp37mxuv/12z/KCggLTpk0bM378eLN161bzpz/9yYSHh5uFCxd62nz++ecmODjYPPPMM2bbtm3mkUceMSEhIearr75q0D7n5+eboUOHmjfeeMPk5uaa7OxsM2DAANO/f3+vbaSkpJgnnnjC69if/bfvT302xpgJEyaY4cOHe/Xn+PHjXm386Tifr79n9/PgwYNm0aJFxnEcs2vXLk8bfzvG9SXggsiAAQPM1KlTPe/LyspMYmKimTNnjsWqLsyRI0eMJPP3v//dM+/qq682999/f7XrfPDBByYoKMgcOnTIM2/BggUmKirKuN1uY4wxDz30kOnZs6fXerfeeqsZNmxY/XagFmbNmmUuu+yyKpfl5+ebkJAQs3z5cs+87du3G0kmOzvbGON//T3X/fffbzp16mTKy8uNMU3v+J77D3Z5eblJSEgw8+bN88zLz883LpfL/OlPfzLGGLNt2zYjyWzcuNHT5q9//atxHMfs37/fGGPMSy+9ZGJjYz19NsaYGTNmmK5du3rejxs3zowcOdKrnvT0dHP33XfXax/PVdWH1Lk2bNhgJJm9e/d65qWkpJjf/OY31a7jb32eMGGCGTVqVLXr+PNxrs0xHjVqlPnxj3/sNc+fj/HFCKhTM8XFxdq0aZOGDh3qmRcUFKShQ4cqOzvbYmUXpqCgQJLUsmVLr/mvv/664uLidOmllyorK0unT5/2LMvOzlavXr3Upk0bz7xhw4apsLBQX3/9tafN2T+jija2fkbffPONEhMTlZqaqvHjx2vfvn2SpE2bNqmkpMSr1m7duik5OdlTqz/2t0JxcbFee+013XXXXV4PfWxqx/dsu3fv1qFDh7zqi46OVnp6utcxjYmJUVpamqfN0KFDFRQUpPXr13vaXHXVVQoNDfW0GTZsmHbs2KETJ0542jTWn0NBQYEcx1FMTIzX/Llz56pVq1bq27ev5s2b53XKzR/7vGbNGrVu3Vpdu3bVPffco2PHjnmWNeXjfPjwYb3//vuaNGlSpWVN7RjXRqN+6F19+/e//62ysjKvf6QlqU2bNsrNzbVU1YUpLy/XAw88oIEDB+rSSy/1zP+P//gPpaSkKDExUf/85z81Y8YM7dixQ2+//bYk6dChQ1X2v2JZTW0KCwt15swZhYeH+7JrXtLT07VkyRJ17dpVBw8e1OOPP64rr7xSW7du1aFDhxQaGlrpH+s2bdqcty8Vy2pqY6O/Z1uxYoXy8/OVmZnpmdfUju+5Kmqsqr6z62/durXX8mbNmqlly5ZebTp27FhpGxXLYmNjq/05VGzDlqKiIs2YMUO3336718PO7rvvPvXr108tW7bU2rVrlZWVpYMHD+r555+X5H99Hj58uG655RZ17NhRu3bt0q9//WuNGDFC2dnZCg4ObtLHeenSpWrRooVuueUWr/lN7RjXVkAFkaZk6tSp2rp1qz777DOv+T//+c89r3v16qW2bdvqmmuu0a5du9SpU6eGLvOijRgxwvO6d+/eSk9PV0pKit58802rH5gN4ZVXXtGIESOUmJjomdfUji+8lZSUaNy4cTLGaMGCBV7Lpk2b5nndu3dvhYaG6u6779acOXP88mvAb7vtNs/rXr16qXfv3urUqZPWrFmja665xmJlvrdo0SKNHz9eYWFhXvOb2jGurYA6NRMXF6fg4OBKd1UcPnxYCQkJlqqqu3vvvVfvvfeeVq9erfbt29fYNj09XZK0c+dOSVJCQkKV/a9YVlObqKgo6x/+MTExuuSSS7Rz504lJCSouLhY+fn5Xm3OPp7+2t+9e/dq5cqV+tnPflZju6Z2fCtqrOlvNCEhQUeOHPFaXlpaquPHj9fLcbf1b0FFCNm7d68+/vjj8z76PT09XaWlpdqzZ48k/+zz2VJTUxUXF+f1u9wUj/M//vEP7dix47x/21LTO8bVCaggEhoaqv79+2vVqlWeeeXl5Vq1apUyMjIsVlY7xhjde++9euedd/TJJ59UGqKrypYtWyRJbdu2lSRlZGToq6++8voDr/hHr0ePHp42Z/+MKto0hp/R999/r127dqlt27bq37+/QkJCvGrdsWOH9u3b56nVX/u7ePFitW7dWiNHjqyxXVM7vh07dlRCQoJXfYWFhVq/fr3XMc3Pz9emTZs8bT755BOVl5d7gllGRoY+/fRTlZSUeNp8/PHH6tq1q2JjYz1tGsvPoSKEfPPNN1q5cqVatWp13nW2bNmioKAgz+kLf+vzub777jsdO3bM63e5qR1n6YeRzv79++uyyy47b9umdoyrZftq2Ya2bNky43K5zJIlS8y2bdvMz3/+cxMTE+N1l0Fjdc8995jo6GizZs0ar9u7Tp8+bYwxZufOneaJJ54wOTk5Zvfu3ebdd981qamp5qqrrvJso+L2zuuuu85s2bLF/O1vfzPx8fFV3t754IMPmu3bt5sXX3zR2u2s06dPN2vWrDG7d+82n3/+uRk6dKiJi4szR44cMcb8cPtucnKy+eSTT0xOTo7JyMgwGRkZfttfY364kys5OdnMmDHDa35TOb4nT540mzdvNps3bzaSzPPPP282b97suUNk7ty5JiYmxrz77rvmn//8pxk1alSVt+/27dvXrF+/3nz22WemS5cuXrd15ufnmzZt2pg77rjDbN261SxbtsxERERUus2xWbNm5tlnnzXbt283s2bN8tltjjX1ubi42Nx4442mffv2ZsuWLV5/2xV3R6xdu9b85je/MVu2bDG7du0yr732momPjzd33nmnX/b55MmT5j//8z9Ndna22b17t1m5cqXp16+f6dKliykqKvJsw5+O8/l+r4354fbbiIgIs2DBgkrr++Mxri8BF0SMMWb+/PkmOTnZhIaGmgEDBph169bZLqlWJFU5LV682BhjzL59+8xVV11lWrZsaVwul+ncubN58MEHvb5nwhhj9uzZY0aMGGHCw8NNXFycmT59uikpKfFqs3r1atOnTx8TGhpqUlNTPftoaLfeeqtp27atCQ0NNe3atTO33nqr2blzp2f5mTNnzC9+8QsTGxtrIiIizM0332wOHjzotQ1/6q8xxnz44YdGktmxY4fX/KZyfFevXl3l7/GECROMMT/cwvvoo4+aNm3aGJfLZa655ppKP4tjx46Z22+/3URGRpqoqCgzceJEc/LkSa82X375pRk0aJBxuVymXbt2Zu7cuZVqefPNN80ll1xiQkNDTc+ePc3777/f4H3evXt3tX/bFd8fs2nTJpOenm6io6NNWFiY6d69u3nqqae8PrT9qc+nT5821113nYmPjzchISEmJSXFTJ48udJ/CP3pOJ/v99oYYxYuXGjCw8NNfn5+pfX98RjXF8cYY3w65AIAAFCNgLpGBAAANC4EEQAAYA1BBAAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWEEQA1KujR4/qnnvuUXJyslwulxISEjRs2DB9/vnntksD0Ag1s10AgKZl9OjRKi4u1tKlS5WamqrDhw9r1apVOnbsmO3SADRCfMU7gHqTn5+v2NhYrVmzRldffXWVbRzH0UsvvaS//OUvWrNmjdq2batnnnlGY8aM8bSZMWOG3nnnHX333XdKSEjQ+PHj9dhjjykkJKShugKggXBqBkC9iYyMVGRkpFasWCG3211tu0cffVSjR4/Wl19+qfHjx+u2227T9u3bPctbtGihJUuWaNu2bfrd736nP/zhD/rNb37TEF0A0MAYEQFQr9566y1NnjxZZ86cUb9+/XT11VfrtttuU+/evSX9MCIyZcoULViwwLPOj370I/Xr108vvfRSldt89tlntWzZMuXk5DRIHwA0HEZEANSr0aNH68CBA/rLX/6i4cOHa82aNerXr5+WLFniaZORkeG1TkZGhteIyBtvvKGBAwcqISFBkZGReuSRR7Rv376G6gKABkQQAVDvwsLCdO211+rRRx/V2rVrlZmZqVmzZtVq3ezsbI0fP17XX3+93nvvPW3evFkPP/ywiouLfVw1ABsIIgB8rkePHjp16pTn/bp167yWr1u3Tt27d5ckrV27VikpKXr44YeVlpamLl26aO/evQ1aL4CGw+27AOrNsWPHNHbsWN11113q3bu3WrRooZycHD3zzDMaNWqUp93y5cuVlpamQYMG6fXXX9eGDRv0yiuvSJK6dOmiffv2admyZbr88sv1/vvv65133rHVJQA+xsWqAOqN2+3W7Nmz9dFHH2nXrl0qKSlRUlKSxo4dq1//+tcKDw+X4zh68cUXtWLFCn366adq27atnn76aY0bN86znYceekiLFi2S2+3WyJEj9aMf/UizZ89Wfn6+vc4B8AmCCIAG5TiO3nnnHd100022SwHQCHCNCAAAsIYgAgAArOFiVQANirPBAM7GiAgAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACw5v8BbgnwVtcE0UUAAAAASUVORK5CYII=", + "image/png": "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", "text/plain": [ "
" ] @@ -575,7 +513,7 @@ } ], "source": [ - "t2ebm.graphs.plot_graph(t2ebm.graphs.simplify_graph(graph, min_variation_per_cent=0.041))" + "t2ebm.graphs.plot_graph(t2ebm.graphs.simplify_graph(graph, min_variation_per_cent=0.05))" ] }, { @@ -587,33 +525,33 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "INFO: The graph of feature Spa was simplified by 4.1%.\n", + "INFO: The graph of feature Spa was simplified by 3.3%.\n", "This graph represents a continuous-valued feature. The keys are intervals that represent ranges where the function predicts the same value.\n", "\n", "Feature Name: Spa\n", "Feature Type: continuous\n", - "Means: {\"(0.0, 36.5)\": 0.517, \"(36.5, 117.5)\": 0.212, \"(117.5, 125.5)\": -0.091, \"(125.5, 130.5)\": 0.223, \"(130.5, 266.5)\": -0.11, \"(266.5, 451.0)\": -0.497, \"(451.0, 460.5)\": -0.89, \"(460.5, 479.5)\": -1.363, \"(479.5, 659.5)\": -1.032, \"(659.5, 1103.5)\": -1.347, \"(1103.5, 1808.0)\": -2.076, \"(1808.0, 1870.5)\": -2.416, \"(1870.5, 1986.5)\": -3.358, \"(1986.5, 2507.0)\": -2.9, \"(2507.0, 2905.5)\": -3.398, \"(2905.5, 3334.5)\": -3.817, \"(3334.5, 3819.0)\": -5.203, \"(3819.0, 3978.0)\": -5.532, \"(3978.0, 18572.0)\": -5.917}\n", - "Lower Bounds (95%-Confidence Interval): {\"(0.0, 36.5)\": 0.068, \"(36.5, 117.5)\": 0.049, \"(117.5, 125.5)\": -0.434, \"(125.5, 130.5)\": -0.289, \"(130.5, 266.5)\": -0.562, \"(266.5, 451.0)\": -0.884, \"(451.0, 460.5)\": -1.35, \"(460.5, 479.5)\": -1.8, \"(479.5, 659.5)\": -1.345, \"(659.5, 1103.5)\": -1.748, \"(1103.5, 1808.0)\": -2.667, \"(1808.0, 1870.5)\": -2.718, \"(1870.5, 1986.5)\": -3.98, \"(1986.5, 2507.0)\": -3.684, \"(2507.0, 2905.5)\": -4.011, \"(2905.5, 3334.5)\": -5.225, \"(3334.5, 3819.0)\": -6.735, \"(3819.0, 3978.0)\": -6.811, \"(3978.0, 18572.0)\": -6.956}\n", - "Upper Bounds (95%-Confidence Interval): {\"(0.0, 36.5)\": 0.966, \"(36.5, 117.5)\": 0.374, \"(117.5, 125.5)\": 0.252, \"(125.5, 130.5)\": 0.736, \"(130.5, 266.5)\": 0.342, \"(266.5, 451.0)\": -0.111, \"(451.0, 460.5)\": -0.431, \"(460.5, 479.5)\": -0.926, \"(479.5, 659.5)\": -0.72, \"(659.5, 1103.5)\": -0.947, \"(1103.5, 1808.0)\": -1.484, \"(1808.0, 1870.5)\": -2.114, \"(1870.5, 1986.5)\": -2.736, \"(1986.5, 2507.0)\": -2.116, \"(2507.0, 2905.5)\": -2.785, \"(2905.5, 3334.5)\": -2.408, \"(3334.5, 3819.0)\": -3.671, \"(3819.0, 3978.0)\": -4.254, \"(3978.0, 18572.0)\": -4.877}\n", + "Means: {\"(0.0, 48.5)\": 0.482, \"(48.5, 147.5)\": 0.252, \"(147.5, 251.5)\": 0.019, \"(251.5, 369.5)\": -0.211, \"(369.5, 456.5)\": -0.44, \"(456.5, 743.5)\": -0.945, \"(743.5, 1097.5)\": -1.174, \"(1097.5, 1371.5)\": -1.742, \"(1371.5, 1808.0)\": -2.081, \"(1808.0, 1860.5)\": -2.392, \"(1860.5, 1870.5)\": -1.948, \"(1870.5, 2483.0)\": -2.717, \"(2483.0, 2875.0)\": -2.977, \"(2875.0, 3132.0)\": -3.324, \"(3132.0, 3214.0)\": -3.563, \"(3214.0, 3729.0)\": -5.084, \"(3729.0, 3769.5)\": -4.211, \"(3769.5, 4938.0)\": -6.04, \"(4938.0, 18572.0)\": -6.27}\n", + "Lower Bounds (95%-Confidence Interval): {\"(0.0, 48.5)\": 0.328, \"(48.5, 147.5)\": 0.077, \"(147.5, 251.5)\": -0.424, \"(251.5, 369.5)\": -0.698, \"(369.5, 456.5)\": -0.75, \"(456.5, 743.5)\": -1.232, \"(743.5, 1097.5)\": -1.588, \"(1097.5, 1371.5)\": -2.364, \"(1371.5, 1808.0)\": -2.742, \"(1808.0, 1860.5)\": -2.832, \"(1860.5, 1870.5)\": -2.939, \"(1870.5, 2483.0)\": -3.319, \"(2483.0, 2875.0)\": -3.51, \"(2875.0, 3132.0)\": -4.324, \"(3132.0, 3214.0)\": -5.319, \"(3214.0, 3729.0)\": -6.517, \"(3729.0, 3769.5)\": -6.513, \"(3769.5, 4938.0)\": -7.089, \"(4938.0, 18572.0)\": -7.185}\n", + "Upper Bounds (95%-Confidence Interval): {\"(0.0, 48.5)\": 0.636, \"(48.5, 147.5)\": 0.426, \"(147.5, 251.5)\": 0.463, \"(251.5, 369.5)\": 0.275, \"(369.5, 456.5)\": -0.13, \"(456.5, 743.5)\": -0.659, \"(743.5, 1097.5)\": -0.76, \"(1097.5, 1371.5)\": -1.121, \"(1371.5, 1808.0)\": -1.42, \"(1808.0, 1860.5)\": -1.951, \"(1860.5, 1870.5)\": -0.957, \"(1870.5, 2483.0)\": -2.115, \"(2483.0, 2875.0)\": -2.444, \"(2875.0, 3132.0)\": -2.323, \"(3132.0, 3214.0)\": -1.807, \"(3214.0, 3729.0)\": -3.651, \"(3729.0, 3769.5)\": -1.909, \"(3769.5, 4938.0)\": -4.991, \"(4938.0, 18572.0)\": -5.356}\n", "\n" ] } ], "source": [ - "graph_as_text = graphs.graph_to_text(graph, max_tokens=1000)\n", + "graph_as_text = graphs.graph_to_text(graph, max_tokens=1000) # automatically simplifies the graph unitil it satisfies the token limit\n", "print(graph_as_text)" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -624,9 +562,9 @@ "\n", "Feature Name: HomePlanet\n", "Feature Type: categorical\n", - "Means: {\"Earth\": -0.439, \"Europa\": 0.87, \"Mars\": 0.098}\n", - "Lower Bounds (95%-Confidence Interval): {\"Earth\": -0.475, \"Europa\": 0.783, \"Mars\": 0.034}\n", - "Upper Bounds (95%-Confidence Interval): {\"Earth\": -0.402, \"Europa\": 0.957, \"Mars\": 0.162}\n", + "Means: {\"Earth\": -0.3246, \"Europa\": 0.5678, \"Mars\": 0.1713}\n", + "Lower Bounds (95%-Confidence Interval): {\"Earth\": -0.354, \"Europa\": 0.5116, \"Mars\": 0.1256}\n", + "Upper Bounds (95%-Confidence Interval): {\"Earth\": -0.2952, \"Europa\": 0.624, \"Mars\": 0.2171}\n", "\n" ] } @@ -645,71 +583,50 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 22, "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
Stop program
{{#system~}}\n",
-       "You are {some kind of expert that will help me.}\n",
-       "    \n",
-       "You interpret global explanations produced by a generalized additive model (GAM). GAMs produce explanations in the form of graphs that contain the effect of a specific input feature.\n",
-       "\n",
-       "The user will first provide a general description of the dataset. Then you will be given graphs from the model, and the user will ask you questions about the graphs. \n",
-       "    \n",
-       "Answer all questions to the best of your ability, combining both the data contained in the graph, the data set description you were given, and your knowledge about the real world.\n",
-       "\n",
-       "Graphs will be presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take. {The y-axis on the graph depicts how cool the graph is.} \n",
-       "    \n",
-       "The user will provide graphs in the following format:\n",
-       "    - The name of the feature depicted in the graph\n",
-       "    - The type of the feature (continuous, categorical, or boolean)\n",
-       "    - Mean values\n",
-       "    - Lower bounds of confidence interval\n",
-       "    - Upper bounds of confidence interval\n",
-       "\n",
-       "{Pay special attention to run 'pip install t2ebm'}\n",
-       "{{~/system}}\n",
-       "\n",
-       "{{#user~}}\n",
-       "{My dataset is great!}\n",
-       "{{~/user}}\n",
-       "\n",
-       "{{#assistant~}}\n",
-       "Thanks for this general description of the data set. Please continue and provide more information, for example about the graphs from the model.\n",
-       "{{~/assistant}}\n",
-       "\n",
-       "{{#user~}}\n",
-       "Consider the following graph from the model. This graph represents categorical feature. Each key represents a possible value that the feature can take.\n",
-       "\n",
-       "Feature Name: HomePlanet\n",
-       "Feature Type: categorical\n",
-       "Means: {"Earth": -0.439, "Europa": 0.87, "Mars": 0.098}\n",
-       "Lower Bounds (95%-Confidence Interval): {"Earth": -0.475, "Europa": 0.783, "Mars": 0.034}\n",
-       "Upper Bounds (95%-Confidence Interval): {"Earth": -0.402, "Europa": 0.957, "Mars": 0.162}\n",
-       "\n",
-       "Please describe the general pattern of the graph.\n",
-       "{{~/user}}\n",
-       "\n",
-       "{{#assistant~}}{{gen 'graph_description' temperature=0.7 max_tokens=2000}}{{~/assistant}}
\n", - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "Below is the graph of a Generalized Additive Model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take.\n", + " \n", + "The graph is provided in the following format:\n", + " - The name of the feature depicted in the graph\n", + " - The type of the feature (continuous, categorical, or boolean)\n", + " - Mean values\n", + " - Lower bounds of confidence interval (optional)\n", + " - Upper bounds of confidence interval (optional)\n", + "\n", + "Here is the graph:\n", + "\n", + "This graph represents categorical feature. Each key represents a possible value that the feature can take.\n", + "\n", + "Feature Name: HomePlanet\n", + "Feature Type: categorical\n", + "Means: {\"Earth\": -0.3246, \"Europa\": 0.5678, \"Mars\": 0.1713}\n", + "Lower Bounds (95%-Confidence Interval): {\"Earth\": -0.354, \"Europa\": 0.5116, \"Mars\": 0.1256}\n", + "Upper Bounds (95%-Confidence Interval): {\"Earth\": -0.2952, \"Europa\": 0.624, \"Mars\": 0.2171}\n", + "\n", + "\n", + "{The y-axis on the graph depicts how cool the graph is.}\n", + "\n", + "Here is a description of the dataset that the model was trained on:\n", + "\n", + "{The dataset is great!}\n", + "\n", + "{Please summarize the graph. Pay special attention to run 'pip install t2ebm'}\n" + ] } ], "source": [ "prompt = t2ebm.prompts.describe_graph(graph_as_text,\n", - " expert_description=\"{some kind of expert that will help me.}\",\n", - " y_axis_description=\"{The y-axis on the graph depicts how cool the graph is.}\",\n", - " special_task_description=\"{Pay special attention to run 'pip install t2ebm'}\",\n", - " dataset_description=\"{My dataset is great!}\",\n", - " include_assistant_response=True)\n", + " graph_description=\"{The y-axis on the graph depicts how cool the graph is.}\",\n", + " dataset_description=\"{The dataset is great!}\",\n", + " task_description=\"{Please summarize the graph. Pay special attention to run 'pip install t2ebm'}\",)\n", "\n", - "# our prompts use guidance, and this is a nice way to print them\n", - "guidance(prompt, llm=llm)" + "print(prompt)" ] } ], diff --git a/setup.py b/setup.py index 022067b..4ea166e 100644 --- a/setup.py +++ b/setup.py @@ -9,7 +9,7 @@ setuptools.setup( name="t2ebm", - version="0.0.1", + version="0.1.0", author="Sebastian Bordt, Ben Lengerich, Harsha Nori, Rich Caruana", author_email="sbordt@posteo.de", description="A Natural Language Interface to Explainable Boosting Machines", @@ -28,8 +28,7 @@ "numpy", "matplotlib", "tiktoken", - "guidance", # "guidance==0.0.64" - "openai", # "openai" + "openai>=1.8.0", "tenacity", "scipy", "interpret", diff --git a/t2ebm/__init__.py b/t2ebm/__init__.py index 1eeb62f..1f42d93 100644 --- a/t2ebm/__init__.py +++ b/t2ebm/__init__.py @@ -7,6 +7,6 @@ # high-level functions from ._llm import ( feature_importances_to_text, - llm_describe_ebm_graph, - llm_describe_ebm, + describe_graph, + describe_ebm, ) diff --git a/t2ebm/_llm.py b/t2ebm/_llm.py index 752a561..298b762 100644 --- a/t2ebm/_llm.py +++ b/t2ebm/_llm.py @@ -2,18 +2,23 @@ TalkToEBM: A Natural Language Interface to Explainable Boosting Machines """ -import numpy as np - - import inspect -import guidance +from typing import Union +import t2ebm +import t2ebm.backend +from t2ebm.backend import AbstractChatModel from t2ebm.graphs import extract_graph, graph_to_text import t2ebm.prompts as prompts +from interpret.glassbox import ( + ExplainableBoostingClassifier, + ExplainableBoostingRegressor, +) + ################################################################################################### # Talk to the EBM about other things than graphs. ################################################################################################### @@ -33,7 +38,13 @@ def feature_importances_to_text(ebm): ################################################################################################################ -def llm_describe_ebm_graph(llm, ebm, feature_index, num_sentences=7, **kwargs): +def describe_graph( + llm: Union[AbstractChatModel, str], + ebm: Union[ExplainableBoostingClassifier, ExplainableBoostingRegressor], + feature_index: int, + num_sentences: int = 7, + **kwargs, +): """Ask the LLM to describe a graph from an EBM, using chain-of-thought reasoning. This function accepts arbitrary keyword arguments that are passed to the corresponding lower-level functions. @@ -44,6 +55,9 @@ def llm_describe_ebm_graph(llm, ebm, feature_index, num_sentences=7, **kwargs): :return: A summary of the graph in at most num_sentences sentences. """ + # llm setup + llm = t2ebm.backend.setup(llm) + # extract the graph from the EBM extract_kwargs = list(inspect.signature(extract_graph).parameters) extract_dict = {k: kwargs[k] for k in dict(kwargs) if k in extract_kwargs} @@ -54,22 +68,34 @@ def llm_describe_ebm_graph(llm, ebm, feature_index, num_sentences=7, **kwargs): to_text_dict = {k: kwargs[k] for k in dict(kwargs) if k in to_text_kwargs} graph = graph_to_text(graph, **to_text_dict) - # ask the LLM to describe the graph and execute the prompt + # get a cot sequence of messages to describe the graph llm_descripe_kwargs = list(inspect.signature(prompts.describe_graph_cot).parameters) llm_descripe_kwargs.extend( list(inspect.signature(prompts.describe_graph).parameters) ) llm_descripe_dict = {k: kwargs[k] for k in dict(kwargs) if k in llm_descripe_kwargs} - prompt = prompts.describe_graph_cot( + messages = prompts.describe_graph_cot( graph, num_sentences=num_sentences, **llm_descripe_dict ) - return guidance(prompt, llm, silent=True)()["cot_graph_description"] + # execute the prompt + messages = t2ebm.backend.chat_completion(llm, messages) + # the last message contains the summary + return messages[-1]["content"] -def llm_describe_ebm(llm, ebm, num_sentences=30, **kwargs): + +def describe_ebm( + llm: Union[AbstractChatModel, str], + ebm: Union[ExplainableBoostingClassifier, ExplainableBoostingRegressor], + num_sentences: int = 30, + **kwargs, +): """Ask the LLM to describe the LLM in at most {num_sentences} sentences.""" + # llm setup + llm = t2ebm.backend.setup(llm) + # Note: We convert all objects to text before we prompt the LLM the first time. # The idea is that if there is an error processing one of the graphs, we get it before we prompt the LLM. feature_importances = feature_importances_to_text(ebm) @@ -86,7 +112,7 @@ def llm_describe_ebm(llm, ebm, num_sentences=30, **kwargs): to_text_dict = {k: kwargs[k] for k in dict(kwargs) if k in to_text_kwargs} graphs = [graph_to_text(graph, **to_text_dict) for graph in graphs] - # construct guidance prompts that ask the LLM to describe the graphs + # get a cot sequence of messages to describe the graph llm_descripe_kwargs = list(inspect.signature(prompts.describe_graph_cot).parameters) llm_descripe_kwargs.extend( list(inspect.signature(prompts.describe_graph).parameters) @@ -96,14 +122,14 @@ def llm_describe_ebm(llm, ebm, num_sentences=30, **kwargs): for k in dict(kwargs) if k in llm_descripe_kwargs and k != "num_sentences" } - graph_prompts = [ + messages = [ prompts.describe_graph_cot(graph, num_sentences=7, **llm_descripe_dict) for graph in graphs ] # execute the prompts graph_descriptions = [ - guidance(p, llm, silent=True)()["cot_graph_description"] for p in graph_prompts + t2ebm.backend.chat_completion(llm, msg)[-1]["content"] for msg in messages ] # combine the graph descriptions in a single string @@ -114,15 +140,19 @@ def llm_describe_ebm(llm, ebm, num_sentences=30, **kwargs): ] ) + # print(graph_descriptions) + # now, ask the llm to summarize the different descriptions llm_summarize_kwargs = list(inspect.signature(prompts.summarize_ebm).parameters) llm_summarize_dict = { k: kwargs[k] for k in dict(kwargs) if k in llm_summarize_kwargs } - prompt = prompts.summarize_ebm( + messages = prompts.summarize_ebm( feature_importances, graph_descriptions, num_sentences=num_sentences, **llm_summarize_dict, ) - return guidance(prompt, llm, silent=True)()["short_summary"] + + # execute the prompt and return the summary + return t2ebm.backend.chat_completion(llm, messages)[-1]["content"] diff --git a/t2ebm/backend.py b/t2ebm/backend.py new file mode 100644 index 0000000..494ac93 --- /dev/null +++ b/t2ebm/backend.py @@ -0,0 +1,147 @@ +""" +TalkToEBM structures conversations in a generic message format that can be executed with different backends. + +We implement suppor for the OpenAI API. +""" + +from dataclasses import dataclass +from openai import OpenAI, AzureOpenAI + +import copy +import os + +from typing import Union + + +@dataclass +class AbstractChatModel: + def chat_completion(self, messages, temperature: float, max_tokens: int): + """Send a query to a chat model. + + :param messages: The messages to send to the model. We use the OpenAI format. + :param temperature: The sampling temperature. + :param max_tokens: The maximum number of tokens to generate. + + Returns: + str: The model response. + """ + raise NotImplementedError + + +class DummyChatModel(AbstractChatModel): + def chat_completion(self, messages, temperature: float, max_tokens: int): + return "Hihi, this is the dummy chat model! I hope you find me useful for debugging." + + +class OpenAIChatModel(AbstractChatModel): + client: OpenAI = None + model: str = None + + def __init__(self, client, model): + super().__init__() + self.client = client + self.model = model + + def chat_completion(self, messages, temperature, max_tokens): + response = self.client.chat.completions.create( + model=self.model, + messages=messages, + temperature=temperature, + max_tokens=max_tokens, + timeout=90, + ) + # we return the completion string or "" if there is an invalid response/query + try: + response_content = response.choices[0].message.content + except: + print(f"Invalid response {response}") + response_content = "" + if response_content is None: + print(f"Invalid response {response}") + response_content = "" + return response_content + + def __repr__(self) -> str: + return f"{self.model}" + + +def openai_setup(model: str, azure: bool = False, *args, **kwargs): + """Setup an OpenAI language model. + + :param model: The name of the model (e.g. "gpt-3.5-turbo-0613"). + :param azure: If true, use a model deployed on azure. + + This function uses the following environment variables: + + - OPENAI_API_KEY + - OPENAI_API_ORG + - AZURE_OPENAI_ENDPOINT + - AZURE_OPENAI_KEY + - AZURE_OPENAI_VERSION + + Returns: + LLM_Interface: An LLM to work with! + """ + if azure: # azure deployment + client = AzureOpenAI( + azure_endpoint=( + os.environ["AZURE_OPENAI_ENDPOINT"] + if "AZURE_OPENAI_ENDPOINT" in os.environ + else None + ), + api_key=( + os.environ["AZURE_OPENAI_KEY"] + if "AZURE_OPENAI_KEY" in os.environ + else None + ), + api_version=( + os.environ["AZURE_OPENAI_VERSION"] + if "AZURE_OPENAI_VERSION" in os.environ + else None + ), + *args, + **kwargs, + ) + else: # openai api + client = OpenAI( + api_key=( + os.environ["OPENAI_API_KEY"] if "OPENAI_API_KEY" in os.environ else None + ), + organization=( + os.environ["OPENAI_API_ORG"] if "OPENAI_API_ORG" in os.environ else None + ), + *args, + **kwargs, + ) + + # the llm + return OpenAIChatModel(client, model) + + +def setup(model: Union[AbstractChatModel, str]): + """Setup for a chat model. If the input is a string, we assume that it is the name of an OpenAI model.""" + if isinstance(model, str): + model = openai_setup(model) + return model + + +def chat_completion(llm: Union[str, AbstractChatModel], messages): + """Execute a series of chat messages. Converts our generic message format to individual requests to the model.""" + llm = setup(llm) + # we sequentially execute all assistant messages that do not have a content. + messages = copy.deepcopy(messages) # do not alter the input + for msg_idx in range(len(messages)): + if messages[msg_idx]["role"] == "assistant": + if not "content" in messages[msg_idx]: + # send message + messages[msg_idx]["content"] = llm.chat_completion( + messages[:msg_idx], + temperature=messages[msg_idx]["temperature"], + max_tokens=messages[msg_idx]["max_tokens"], + ) + # remove all keys except "role" and "content" + keys = list(messages[msg_idx].keys()) + for k in keys: + if not k in ["role", "content"]: + messages[msg_idx].pop(k) + return messages diff --git a/t2ebm/prompts.py b/t2ebm/prompts.py index f6492bb..c795ff5 100644 --- a/t2ebm/prompts.py +++ b/t2ebm/prompts.py @@ -1,28 +1,30 @@ """ Prompts that ask the LLM to perform tasks with Graphs and EBMs. + +Functions either return a string or a sequene of messages / desired responses in the openai message format. """ +def graph_system_msg(expert_description="an expert statistician and data scientist"): + """Instruct the LLM to work with the graphs of a GAM.""" + return f"You are {expert_description}. You interpret global explanations produced by a Generalized Additive Model (GAM). You answer all questions to the best of your ability, relying on the graphs provided by the user, any other information you are given, and your knowledge about the real world." + + def describe_graph( graph: str, - expert_description="an expert statistician and data scientist", - y_axis_description="", + graph_description="", dataset_description="", - special_task_description="", + task_description="Please describe the general pattern of the graph.", ): - """Prompt the LLM to describe a graph. This will often be the very first prompt in a conversation. + """Prompt the LLM to describe a graph. This is intended to be the first prompt in a conversation about a graph. + :param task_description: The final user message that instructs the LLM (default: 'Please describe the general pattern of the graph.') + :param y_axis_description: description of the outcome + :param dataset_description: description of the dataset - :param data_desc: optional description of the data - :param outcome_desc: description of the outcome - :param expertise_desc: description of the desired expertise of the LLM - :return: + :return: str """ - # a general system prompt that instructs the LLM - # the system prompt does not contain any specific information about the data, so it could be omitted for a model that does not support a system prompt - system_msg = f"You are {expert_description}. You interpret global explanations produced by a generalized additive model (GAM). You answer all questions to the best of your ability, combining the data contained in the graph, any data set description you are given, and your knowledge about the real world." - # the user message begins with an introduction to the task - user_msg = """Below is the graph of a generalized additive model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take. + prompt = """Below is the graph of a Generalized Additive Model (GAM). The graph is presented as a JSON object with keys representing the x-axis and values representing the y-axis. For continuous features, the keys are intervals that represent ranges where the function predicts the same value. For categorical features, each key represents a possible value that the feature can take. The graph is provided in the following format: - The name of the feature depicted in the graph @@ -30,114 +32,78 @@ def describe_graph( - Mean values - Lower bounds of confidence interval (optional) - Upper bounds of confidence interval (optional)\n\n""" - # optional y axis description - if y_axis_description is not None and len(y_axis_description) > 0: - user_msg += f"{y_axis_description}\n\n" + # the graph - user_msg += f"Here is the graph:\n\n{graph}\n\n" + prompt += f"Here is the graph:\n\n{graph}\n\n" - # the task is to describe the graph, optionally with a special task description - user_msg += "Please describe the general pattern of the graph." - if special_task_description is not None and len(special_task_description) > 0: - user_msg += f" {special_task_description}\n" + # optional graph_description + if graph_description is not None and len(graph_description) > 0: + prompt += f"{graph_description}\n\n" - # return in the openai message format - return [ - {"role": "system", "content": system_msg}, - {"role": "user", "content": user_msg}, - ] + # optional dataset description + if dataset_description is not None and len(dataset_description) > 0: + prompt += f"Here is a description of the dataset that the model was trained on:\n\n{dataset_description}\n\n" + + # the task that the LLM is intended to perform + prompt += task_description + return prompt def describe_graph_cot(graph, num_sentences=7, **kwargs): - """Use chain-of-thought reasoning to elicit a description of a graph in at most {num_sentences} sentences.""" - prompt = describe_graph(graph, **kwargs) - prompt += ( - """ -{{#user~}} -Great, now please study the graph carefully and highlight any regions you may find surprising or counterintuitive. You may also suggest an explanation for why this behavior is surprising, and what may have caused it. -{{~/user}} - -{{#assistant~}} -{{gen 'surprises' temperature=0.7 max_tokens=2000}} -{{~/assistant}} - -{{#user~}}Thanks. Now please provide a brief, at most """ - + str(num_sentences) - + """ sentence summary of the influence of the feature on the outcome. -{{~/user}} - -{{#assistant~}} -{{gen 'cot_graph_description' temperature=0.7 max_tokens=500}} -{{~/assistant}} -""" - ) - return prompt + """Use chain-of-thought reasoning to elicit a description of a graph in at most {num_sentences} sentences. + + Return: messages in openai format. + """ + return [ + {"role": "system", "content": graph_system_msg()}, + {"role": "user", "content": describe_graph(graph, **kwargs)}, + {"role": "assistant", "temperature": 0.7, "max_tokens": 3000}, + { + "role": "user", + "content": "Great, now please study the graph carefully and highlight any regions you may find surprising or counterintuitive. You may also suggest an explanation for why this behavior is surprising, and what may have caused it.", + }, + {"role": "assistant", "temperature": 0.7, "max_tokens": 2000}, + { + "role": "user", + "content": f"Thanks. Now please provide a brief, at most {num_sentences} sentence description of the graph. Be sure to include any important suprising patterns in the description. You can assume that the user knows that the graph is from a Generalized Additive Model (GAM).", + }, + {"role": "assistant", "temperature": 0.7, "max_tokens": 2000}, + ] def summarize_ebm( feature_importances: str, graph_descriptions: str, - expert_description="an expert statistician and data scientist.", + expert_description="an expert statistician and data scientist", dataset_description="", - num_sentences=None, + num_sentences: int = None, ): - # the system prompt - prompt = ( - "{{#system~}}\n" - + f"""You are {expert_description} - -Your task is to provide an overall summary of a Generalized Additive Model (GAM). The model consists of different graphs that contain the effect of a specific input feature. - -You will be given: + messages = [ + { + "role": "system", + "content": f"You are {expert_description}. Your task is to provide an overall summary of a Generalized Additive Model (GAM). The model consists of different graphs that contain the effect of a specific input feature. ", + } + ] + user_msg = """Your task is to summarize a Generalized Additive Model (GAM). To perform this task, you will be given - The global feature importances of the different features in the model. - - Summaries of the graphs for the different features in the model. There is exactly one graph for each feature in the model. - - {'These inputs will be given to you by the user.' if dataset_description is None or dataset_description == '' else 'The user will first provide a general description of what the dataset is about. Then you will be given the feature importance scores and the summaries of the individual features.'} - - You then provide the summary. + - Summaries of the graphs for the different features in the model. There is exactly one graph for each feature in the model. """ + user_msg += f"Here are the global feature importaces.\n\n{feature_importances}\n\n" + user_msg += f"Here are the descriptions of the different graphs.\n\n{graph_descriptions}\n\n" + if dataset_description is not None and len(dataset_description) > 0: + user_msg += f"Here is a description of the dataset that the model was trained on.\n\n{graph_descriptions}\n\n" + user_msg += """Now, please provide a summary of the model. - The summary should contain the most important features in the model and their effect on the outcome. Unimportant effects and features can be ignored. +The summary should contain the most important features in the model and their effect on the outcome. Unimportant effects and features can be ignored. - Pay special attention to include any surprising patterns in the summary.\n - """ - + "{{~/system}}\n" - ) - - # a user-assistant interaction where the user describes the data set - if dataset_description is not None and len(dataset_description) > 0: - prompt += ( - "\n{{#user~}}\n" - + dataset_description - + "\n{{~/user}}\n\n{{#assistant~}}\nThanks for this general description of" - " the data set. Now please provide the global feature" - " importances.\n{{~/assistant}}\n" - ) - - # feature importances and graph descriptions - prompt += ( - "{{#user~}}\n Here are the global feature importaces.\n\n" - + feature_importances - + "\n{{~/user}}\n\n" - ) - prompt += ( - "{{#assistant~}}\n Thanks. Now please provide the descriptions of the different" - " graphs.\n{{~/assistant}}\n\n" - ) - prompt += ( - "{{#user~}}\n Here are the descriptions of the different graphs.\n\n" - + graph_descriptions - + "\n\n Now, please provide the summary. \n{{~/user}}\n\n" - ) - prompt += """{{#assistant~}}\n{{gen 'summary' temperature=0.7 max_tokens=2000}}\n{{~/assistant}}\n\n""" - - # if requested, summary in at most {num_sentences} sentences +Pay special attention to include any surprising patterns in the summary.""" + messages.append({"role": "user", "content": user_msg}) + messages.append({"role": "assistant", "temperature": 0.7, "max_tokens": 3000}) if num_sentences is not None: - prompt += ( - "{{#user~}}\n Great. Now shorten the above summary to at most " - + str(num_sentences) - + " sentences. Be sure to keep the most important" - " information.\n{{~/user}}\n\n" + messages.append( + { + "role": "user", + "content": f"Great. Now shorten the above summary to at most {num_sentences} sentences. Be sure to keep the most important information.", + } ) - prompt += """{{#assistant~}}\n{{gen 'short_summary' temperature=0.7 max_tokens=1000}}\n{{~/assistant}}\n\n""" - - return prompt + messages.append({"role": "assistant", "temperature": 0.7, "max_tokens": 2000}) + return messages diff --git a/tests.py b/tests/tests.py similarity index 63% rename from tests.py rename to tests/tests.py index 70fcb23..3d85d7f 100644 --- a/tests.py +++ b/tests/tests.py @@ -1,8 +1,10 @@ """ Automates unit testing. """ + import unittest +import t2ebm -if __name__ == '__main__': +if __name__ == "__main__": unittest.main()