Dev docs nilearn/nilearn@66520a9 : [MAINT] reduce occurence of resamp…

…ling related warnings (#4531) * reduce occurence of force_resample warnings * reduce cast warnings in tests * apply to resample_to_img * fix * missed one
nilearn · Sep 11, 2024 · 7cf6a93 · 7cf6a93
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diff --git a/dev/_downloads/0140eeb6da671d73b808df162f8895e8/plot_simulated_data.zip b/dev/_downloads/0140eeb6da671d73b808df162f8895e8/plot_simulated_data.zip
diff --git a/dev/_downloads/04502003935d64eedeb72956946fe91b/plot_nilearn_101.zip b/dev/_downloads/04502003935d64eedeb72956946fe91b/plot_nilearn_101.zip
diff --git a/dev/_downloads/078678c45812ee1e319ed2d2c21c554f/plot_python_101.zip b/dev/_downloads/078678c45812ee1e319ed2d2c21c554f/plot_python_101.zip
diff --git a/dev/_downloads/07bd43f5f35abcb693398fbe82adc61d/plot_oasis_vbm.zip b/dev/_downloads/07bd43f5f35abcb693398fbe82adc61d/plot_oasis_vbm.zip
diff --git a/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
diff --git a/dev/_downloads/09c9580584f4e64ef9778ef8f3417e60/plot_resample_to_template.zip b/dev/_downloads/09c9580584f4e64ef9778ef8f3417e60/plot_resample_to_template.zip
diff --git a/dev/_downloads/0b08503308b188b3029a4de1b9022119/plot_visualization.zip b/dev/_downloads/0b08503308b188b3029a4de1b9022119/plot_visualization.zip
diff --git a/dev/_downloads/1020ea2b51f8e38daf607e192d4bdc5d/plot_oasis.py b/dev/_downloads/1020ea2b51f8e38daf607e192d4bdc5d/plot_oasis.py
@@ -75,6 +75,7 @@
     gray_matter_map_filenames[0],
     interpolation="nearest",
     copy_header=True,
+    force_resample=True,
 )
 
 # %%

diff --git a/dev/_downloads/12e9d2a7add7eab2059f4f619ad12621/plot_data_driven_parcellations.zip b/dev/_downloads/12e9d2a7add7eab2059f4f619ad12621/plot_data_driven_parcellations.zip
diff --git a/dev/_downloads/1df527f29be7e15097f801df2ab4e0a9/plot_resample_to_template.py b/dev/_downloads/1df527f29be7e15097f801df2ab4e0a9/plot_resample_to_template.py
@@ -24,7 +24,9 @@
 # to the :term:`MNI` template image.
 from nilearn.image import resample_to_img
 
-resampled_stat_img = resample_to_img(stat_img, template, copy_header=True)
+resampled_stat_img = resample_to_img(
+    stat_img, template, copy_header=True, force_resample=True
+)
 
 # %%
 # Let's check the shape and affine have been correctly updated.

diff --git a/dev/_downloads/2442f69e6be8788c989e28093310602e/plot_second_level_two_sample_test.zip b/dev/_downloads/2442f69e6be8788c989e28093310602e/plot_second_level_two_sample_test.zip
diff --git a/dev/_downloads/24646bf88295d9b694826f1c88efdaf9/plot_3d_and_4d_niimg.zip b/dev/_downloads/24646bf88295d9b694826f1c88efdaf9/plot_3d_and_4d_niimg.zip
diff --git a/dev/_downloads/24c23a56893b4488de131db2c3fbbe9c/plot_extract_rois_smith_atlas.zip b/dev/_downloads/24c23a56893b4488de131db2c3fbbe9c/plot_extract_rois_smith_atlas.zip
diff --git a/dev/_downloads/2538426da58c6c74ed5862eb663c2d99/plot_affine_transformation.py b/dev/_downloads/2538426da58c6c74ed5862eb663c2d99/plot_affine_transformation.py
@@ -52,18 +52,22 @@
 
 grid = np.mgrid[0:192, 0:128]
 circle = (
-    np.sum((grid - np.array([32, 32])[:, np.newaxis, np.newaxis]) ** 2, axis=0)
+    np.sum(
+        (grid - np.array([32.0, 32.0])[:, np.newaxis, np.newaxis]) ** 2, axis=0
+    )
     < 256
 )
 diamond = (
     np.sum(
-        np.abs(grid - np.array([128, 80])[:, np.newaxis, np.newaxis]), axis=0
+        np.abs(grid - np.array([128.0, 80.0])[:, np.newaxis, np.newaxis]),
+        axis=0,
     )
     < 16
 )
 rectangle = (
     np.max(
-        np.abs(grid - np.array([64, 96])[:, np.newaxis, np.newaxis]), axis=0
+        np.abs(grid - np.array([64.0, 96.0])[:, np.newaxis, np.newaxis]),
+        axis=0,
     )
     < 16
 )
@@ -90,25 +94,29 @@
 from nibabel import Nifti1Image
 
 img = Nifti1Image(
-    image[:, :, np.newaxis].astype("int32"), affine=source_affine
+    image[:, :, np.newaxis].astype("float32"), affine=source_affine
 )
 
 # %%
 # Now resample the image
 from nilearn.image import resample_img
 
 img_in_mm_space = resample_img(
-    img, target_affine=np.eye(4), target_shape=(512, 512, 1), copy_header=True
+    img,
+    target_affine=np.eye(4),
+    target_shape=(512, 512, 1),
+    copy_header=True,
+    force_resample=True,
 )
 
 target_affine_3x3 = np.eye(3) * 2
 target_affine_4x4 = np.eye(4) * 2
 target_affine_4x4[3, 3] = 1.0
 img_3d_affine = resample_img(
-    img, target_affine=target_affine_3x3, copy_header=True
+    img, target_affine=target_affine_3x3, copy_header=True, force_resample=True
 )
 img_4d_affine = resample_img(
-    img, target_affine=target_affine_4x4, copy_header=True
+    img, target_affine=target_affine_4x4, copy_header=True, force_resample=True
 )
 target_affine_mm_space_offset_changed = np.eye(4)
 target_affine_mm_space_offset_changed[:3, 3] = img_3d_affine.affine[:3, 3]
@@ -118,12 +126,14 @@
     target_affine=target_affine_mm_space_offset_changed,
     target_shape=(np.array(img_3d_affine.shape) * 2).astype(int),
     copy_header=True,
+    force_resample=True,
 )
 
 img_4d_affine_in_mm_space = resample_img(
     img_4d_affine,
     target_affine=np.eye(4),
     target_shape=(np.array(img_4d_affine.shape) * 2).astype(int),
+    force_resample=True,
     copy_header=True,
 )
 

diff --git a/dev/_downloads/2ce0f24d145edf0cb7091fe8dae3bd07/plot_carpet.zip b/dev/_downloads/2ce0f24d145edf0cb7091fe8dae3bd07/plot_carpet.zip
diff --git a/dev/_downloads/2db23df6fc02e7fb53e6ee82f49eb2bc/plot_multiscale_parcellations.zip b/dev/_downloads/2db23df6fc02e7fb53e6ee82f49eb2bc/plot_multiscale_parcellations.zip
diff --git a/dev/_downloads/330cb23bdaeeb988f77c245c2f701a0c/plot_haxby_mass_univariate.zip b/dev/_downloads/330cb23bdaeeb988f77c245c2f701a0c/plot_haxby_mass_univariate.zip
diff --git a/dev/_downloads/3501b5161527823b76e121d0c20043a3/plot_mask_computation.zip b/dev/_downloads/3501b5161527823b76e121d0c20043a3/plot_mask_computation.zip
diff --git a/dev/_downloads/35e89a0fddeee2ec3084f9e9b94edcbe/plot_beta_series.zip b/dev/_downloads/35e89a0fddeee2ec3084f9e9b94edcbe/plot_beta_series.zip
diff --git a/dev/_downloads/362b0c50c649196a3fb4b2cf11a39304/plot_smooth_mean_image.zip b/dev/_downloads/362b0c50c649196a3fb4b2cf11a39304/plot_smooth_mean_image.zip
diff --git a/dev/_downloads/39715408852c4c991549b6f510431022/plot_surf_stat_map.zip b/dev/_downloads/39715408852c4c991549b6f510431022/plot_surf_stat_map.zip
diff --git a/dev/_downloads/42459a562621fd56db76c2274f38f004/plot_bids_analysis.zip b/dev/_downloads/42459a562621fd56db76c2274f38f004/plot_bids_analysis.zip
diff --git a/dev/_downloads/42b3bd92b4565279744cf95e7263db7d/plot_visualize_megatrawls_netmats.zip b/dev/_downloads/42b3bd92b4565279744cf95e7263db7d/plot_visualize_megatrawls_netmats.zip
diff --git a/dev/_downloads/44ace3c1d0ab418c0f97134024ad0a6d/plot_3d_map_to_surface_projection.zip b/dev/_downloads/44ace3c1d0ab418c0f97134024ad0a6d/plot_3d_map_to_surface_projection.zip
diff --git a/dev/_downloads/44cb3a7d606fae23fb2b04d989cc6947/plot_hrf.zip b/dev/_downloads/44cb3a7d606fae23fb2b04d989cc6947/plot_hrf.zip
diff --git a/dev/_downloads/45fc876cbbe833a7942ff19b6aeb70fe/plot_age_group_prediction_cross_val.zip b/dev/_downloads/45fc876cbbe833a7942ff19b6aeb70fe/plot_age_group_prediction_cross_val.zip
diff --git a/dev/_downloads/4d17a3136b19f949ccdbf7f04a64bae1/plot_haxby_anova_svm.zip b/dev/_downloads/4d17a3136b19f949ccdbf7f04a64bae1/plot_haxby_anova_svm.zip
diff --git a/dev/_downloads/4e07a05634132f0b6a9f33eaec2d31e4/plot_dim_plotting.zip b/dev/_downloads/4e07a05634132f0b6a9f33eaec2d31e4/plot_dim_plotting.zip
diff --git a/dev/_downloads/4f6c009516d6956f180d8a05a141b383/plot_oasis.zip b/dev/_downloads/4f6c009516d6956f180d8a05a141b383/plot_oasis.zip
diff --git a/dev/_downloads/53244f184fe150b5fd7d0ea01e463ef4/plot_affine_transformation.ipynb b/dev/_downloads/53244f184fe150b5fd7d0ea01e463ef4/plot_affine_transformation.ipynb
@@ -33,7 +33,7 @@
       },
       "outputs": [],
       "source": [
-        "grid = np.mgrid[0:192, 0:128]\ncircle = (\n    np.sum((grid - np.array([32, 32])[:, np.newaxis, np.newaxis]) ** 2, axis=0)\n    < 256\n)\ndiamond = (\n    np.sum(\n        np.abs(grid - np.array([128, 80])[:, np.newaxis, np.newaxis]), axis=0\n    )\n    < 16\n)\nrectangle = (\n    np.max(\n        np.abs(grid - np.array([64, 96])[:, np.newaxis, np.newaxis]), axis=0\n    )\n    < 16\n)\n\nimage = np.zeros_like(circle)\nimage[16:160, 16:120] = 1.0\nimage = image + 2 * circle + 3 * rectangle + 4 * diamond + 1\n\nvmax = image.max()\n\nsource_affine = np.eye(4)\n# Use canonical vectors for affine\n# Give the affine an offset\nsource_affine[:2, 3] = np.array([96, 64])\n\n# Rotate it slightly\nangle = np.pi / 180 * 15\nrotation_matrix = np.array(\n    [[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]]\n)\nsource_affine[:2, :2] = rotation_matrix * 2.0  # 2.0mm voxel size\n\n# We need to turn this data into a nibabel image\nfrom nibabel import Nifti1Image\n\nimg = Nifti1Image(\n    image[:, :, np.newaxis].astype(\"int32\"), affine=source_affine\n)"
+        "grid = np.mgrid[0:192, 0:128]\ncircle = (\n    np.sum(\n        (grid - np.array([32.0, 32.0])[:, np.newaxis, np.newaxis]) ** 2, axis=0\n    )\n    < 256\n)\ndiamond = (\n    np.sum(\n        np.abs(grid - np.array([128.0, 80.0])[:, np.newaxis, np.newaxis]),\n        axis=0,\n    )\n    < 16\n)\nrectangle = (\n    np.max(\n        np.abs(grid - np.array([64.0, 96.0])[:, np.newaxis, np.newaxis]),\n        axis=0,\n    )\n    < 16\n)\n\nimage = np.zeros_like(circle)\nimage[16:160, 16:120] = 1.0\nimage = image + 2 * circle + 3 * rectangle + 4 * diamond + 1\n\nvmax = image.max()\n\nsource_affine = np.eye(4)\n# Use canonical vectors for affine\n# Give the affine an offset\nsource_affine[:2, 3] = np.array([96, 64])\n\n# Rotate it slightly\nangle = np.pi / 180 * 15\nrotation_matrix = np.array(\n    [[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]]\n)\nsource_affine[:2, :2] = rotation_matrix * 2.0  # 2.0mm voxel size\n\n# We need to turn this data into a nibabel image\nfrom nibabel import Nifti1Image\n\nimg = Nifti1Image(\n    image[:, :, np.newaxis].astype(\"float32\"), affine=source_affine\n)"
       ]
     },
     {
@@ -51,7 +51,7 @@
       },
       "outputs": [],
       "source": [
-        "from nilearn.image import resample_img\n\nimg_in_mm_space = resample_img(\n    img, target_affine=np.eye(4), target_shape=(512, 512, 1), copy_header=True\n)\n\ntarget_affine_3x3 = np.eye(3) * 2\ntarget_affine_4x4 = np.eye(4) * 2\ntarget_affine_4x4[3, 3] = 1.0\nimg_3d_affine = resample_img(\n    img, target_affine=target_affine_3x3, copy_header=True\n)\nimg_4d_affine = resample_img(\n    img, target_affine=target_affine_4x4, copy_header=True\n)\ntarget_affine_mm_space_offset_changed = np.eye(4)\ntarget_affine_mm_space_offset_changed[:3, 3] = img_3d_affine.affine[:3, 3]\n\nimg_3d_affine_in_mm_space = resample_img(\n    img_3d_affine,\n    target_affine=target_affine_mm_space_offset_changed,\n    target_shape=(np.array(img_3d_affine.shape) * 2).astype(int),\n    copy_header=True,\n)\n\nimg_4d_affine_in_mm_space = resample_img(\n    img_4d_affine,\n    target_affine=np.eye(4),\n    target_shape=(np.array(img_4d_affine.shape) * 2).astype(int),\n    copy_header=True,\n)"
+        "from nilearn.image import resample_img\n\nimg_in_mm_space = resample_img(\n    img,\n    target_affine=np.eye(4),\n    target_shape=(512, 512, 1),\n    copy_header=True,\n    force_resample=True,\n)\n\ntarget_affine_3x3 = np.eye(3) * 2\ntarget_affine_4x4 = np.eye(4) * 2\ntarget_affine_4x4[3, 3] = 1.0\nimg_3d_affine = resample_img(\n    img, target_affine=target_affine_3x3, copy_header=True, force_resample=True\n)\nimg_4d_affine = resample_img(\n    img, target_affine=target_affine_4x4, copy_header=True, force_resample=True\n)\ntarget_affine_mm_space_offset_changed = np.eye(4)\ntarget_affine_mm_space_offset_changed[:3, 3] = img_3d_affine.affine[:3, 3]\n\nimg_3d_affine_in_mm_space = resample_img(\n    img_3d_affine,\n    target_affine=target_affine_mm_space_offset_changed,\n    target_shape=(np.array(img_3d_affine.shape) * 2).astype(int),\n    copy_header=True,\n    force_resample=True,\n)\n\nimg_4d_affine_in_mm_space = resample_img(\n    img_4d_affine,\n    target_affine=np.eye(4),\n    target_shape=(np.array(img_4d_affine.shape) * 2).astype(int),\n    force_resample=True,\n    copy_header=True,\n)"
       ]
     },
     {

diff --git a/dev/_downloads/53f49b385f18a47b11fc16fb41609534/plot_probabilistic_atlas_extraction.zip b/dev/_downloads/53f49b385f18a47b11fc16fb41609534/plot_probabilistic_atlas_extraction.zip
diff --git a/dev/_downloads/5425ee9af622597c06a538f1c5e6469e/plot_oasis_vbm_space_net.zip b/dev/_downloads/5425ee9af622597c06a538f1c5e6469e/plot_oasis_vbm_space_net.zip
diff --git a/dev/_downloads/55a97ddb52864175550451613f349777/plot_first_level_details.zip b/dev/_downloads/55a97ddb52864175550451613f349777/plot_first_level_details.zip
diff --git a/dev/_downloads/57b6c2ddd16d32969d0cae7f44d06639/plot_haxby_stimuli.zip b/dev/_downloads/57b6c2ddd16d32969d0cae7f44d06639/plot_haxby_stimuli.zip
diff --git a/dev/_downloads/580bae6bcd05509fa7469867cce2a114/plot_haxby_full_analysis.zip b/dev/_downloads/580bae6bcd05509fa7469867cce2a114/plot_haxby_full_analysis.zip
diff --git a/...ads/5bc59f7fa1c83877cb200d2f813bf5eb/plot_localizer_new_surface_analysis_experimental.zip b/...ads/5bc59f7fa1c83877cb200d2f813bf5eb/plot_localizer_new_surface_analysis_experimental.zip
diff --git a/dev/_downloads/5f7a238835a6ffe32e1edfb58a614869/plot_extract_regions_labels_image.zip b/dev/_downloads/5f7a238835a6ffe32e1edfb58a614869/plot_extract_regions_labels_image.zip
diff --git a/dev/_downloads/5f8b981c74d82c0a0d77446a11d50f5f/plot_surface_projection_strategies.zip b/dev/_downloads/5f8b981c74d82c0a0d77446a11d50f5f/plot_surface_projection_strategies.zip
diff --git a/dev/_downloads/68c9d91508c5faafbb22cf1bb5f69437/plot_first_level_details.ipynb b/dev/_downloads/68c9d91508c5faafbb22cf1bb5f69437/plot_first_level_details.ipynb
@@ -510,7 +510,7 @@
       },
       "outputs": [],
       "source": [
-        "from nilearn.image import resample_to_img\n\nresampled_icbm_mask = resample_to_img(\n    icbm_mask, data_mask, interpolation=\"nearest\", copy_header=True\n)"
+        "from nilearn.image import resample_to_img\n\nresampled_icbm_mask = resample_to_img(\n    icbm_mask,\n    data_mask,\n    interpolation=\"nearest\",\n    copy_header=True,\n    force_resample=True,\n)"
       ]
     },
     {

diff --git a/dev/_downloads/69f7c0c50b17a16ca2a6341feb29c1c8/plot_multi_subject_connectome.zip b/dev/_downloads/69f7c0c50b17a16ca2a6341feb29c1c8/plot_multi_subject_connectome.zip
diff --git a/dev/_downloads/6d6d1d84a9c118f51a2a7cd8004fb72e/plot_haxby_masks.zip b/dev/_downloads/6d6d1d84a9c118f51a2a7cd8004fb72e/plot_haxby_masks.zip
diff --git a/dev/_downloads/6e9cc5ed04e5e787060f03a222e2adcb/plot_spm_multimodal_faces.py b/dev/_downloads/6e9cc5ed04e5e787060f03a222e2adcb/plot_spm_multimodal_faces.py
@@ -55,7 +55,9 @@
     ]
 affine, shape = fmri_img[0].affine, fmri_img[0].shape
 print("Resampling the second image (this takes time)...")
-fmri_img[1] = resample_img(fmri_img[1], affine, shape[:3], copy_header=True)
+fmri_img[1] = resample_img(
+    fmri_img[1], affine, shape[:3], copy_header=True, force_resample=True
+)
 
 # %%
 # Let's create mean image for display purposes.

diff --git a/dev/_downloads/6ecf7696d9212309a1ac618f1a4cfd1a/plot_two_runs_model.zip b/dev/_downloads/6ecf7696d9212309a1ac618f1a4cfd1a/plot_two_runs_model.zip
diff --git a/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
diff --git a/dev/_downloads/6f2843af4e5dac080d749cabb34171b6/plot_demo_glass_brain.zip b/dev/_downloads/6f2843af4e5dac080d749cabb34171b6/plot_demo_glass_brain.zip
diff --git a/dev/_downloads/6fd04075bc267421a6003130a9df8e7f/plot_haxby_frem.zip b/dev/_downloads/6fd04075bc267421a6003130a9df8e7f/plot_haxby_frem.zip
diff --git a/dev/_downloads/6fdc2d8b95d1b3de708c1fe389ec8f9b/plot_write_events_file.zip b/dev/_downloads/6fdc2d8b95d1b3de708c1fe389ec8f9b/plot_write_events_file.zip
diff --git a/dev/_downloads/73f844c4a6da10bbfb02db799ecb38bc/plot_copy_headers_math_img.zip b/dev/_downloads/73f844c4a6da10bbfb02db799ecb38bc/plot_copy_headers_math_img.zip
diff --git a/dev/_downloads/781460825d2a6640608b0f0cece8036a/plot_colormaps.zip b/dev/_downloads/781460825d2a6640608b0f0cece8036a/plot_colormaps.zip
diff --git a/dev/_downloads/7ac307215ff4b05776a8f7859bbcac37/plot_affine_transformation.zip b/dev/_downloads/7ac307215ff4b05776a8f7859bbcac37/plot_affine_transformation.zip
diff --git a/...loads/7b90a1c0ce583286ff5d5362c2a38c3a/plot_3d_map_to_surface_projection_experimental.zip b/...loads/7b90a1c0ce583286ff5d5362c2a38c3a/plot_3d_map_to_surface_projection_experimental.zip
diff --git a/dev/_downloads/7cb01624b006fd5aaa979554fa58b551/plot_decoding_tutorial.zip b/dev/_downloads/7cb01624b006fd5aaa979554fa58b551/plot_decoding_tutorial.zip
diff --git a/dev/_downloads/7e1ebaa4a3168383b1f1e0584082414b/plot_advanced_decoding_scikit.zip b/dev/_downloads/7e1ebaa4a3168383b1f1e0584082414b/plot_advanced_decoding_scikit.zip
diff --git a/dev/_downloads/814e55c3391afa475693998134669ecb/plot_miyawaki_encoding.zip b/dev/_downloads/814e55c3391afa475693998134669ecb/plot_miyawaki_encoding.zip
diff --git a/dev/_downloads/81ff68137fc533fb3354249eb405167a/plot_miyawaki_reconstruction.zip b/dev/_downloads/81ff68137fc533fb3354249eb405167a/plot_miyawaki_reconstruction.zip
diff --git a/dev/_downloads/825140e409fccb43639b325759e8900a/plot_surface_image_and_maskers.zip b/dev/_downloads/825140e409fccb43639b325759e8900a/plot_surface_image_and_maskers.zip
diff --git a/dev/_downloads/83583dc3a50514a043c2cd0dfc685758/plot_single_subject_single_run.zip b/dev/_downloads/83583dc3a50514a043c2cd0dfc685758/plot_single_subject_single_run.zip
diff --git a/dev/_downloads/84f1332b1d9baccb296608468643d612/plot_signal_extraction.zip b/dev/_downloads/84f1332b1d9baccb296608468643d612/plot_signal_extraction.zip
diff --git a/dev/_downloads/865a73a49907ffc0bd3dece84d550ca3/plot_proportion_activated_voxels.zip b/dev/_downloads/865a73a49907ffc0bd3dece84d550ca3/plot_proportion_activated_voxels.zip
diff --git a/dev/_downloads/869ce1b8cba8af1370c7febd3a07af40/plot_haxby_grid_search.zip b/dev/_downloads/869ce1b8cba8af1370c7febd3a07af40/plot_haxby_grid_search.zip
diff --git a/...ownloads/86f3713b2cbd4076106f7a9007f66423/plot_new_surface_bids_analysis_experimental.zip b/...ownloads/86f3713b2cbd4076106f7a9007f66423/plot_new_surface_bids_analysis_experimental.zip
diff --git a/dev/_downloads/88e47e929fc88b6225f015fb94da5609/plot_bids_features.zip b/dev/_downloads/88e47e929fc88b6225f015fb94da5609/plot_bids_features.zip
diff --git a/dev/_downloads/8d661752368d205811c20f193479e7c1/plot_fir_model.zip b/dev/_downloads/8d661752368d205811c20f193479e7c1/plot_fir_model.zip
diff --git a/dev/_downloads/8f53df32fe25badef133277475602a74/plot_ica_resting_state.zip b/dev/_downloads/8f53df32fe25badef133277475602a74/plot_ica_resting_state.zip
diff --git a/dev/_downloads/926c17772ce3fd6e4cbd2e276f8e019b/plot_ica_neurovault.zip b/dev/_downloads/926c17772ce3fd6e4cbd2e276f8e019b/plot_ica_neurovault.zip
diff --git a/dev/_downloads/94f332cc76279dbd61b4f002b04f7c6a/plot_extract_rois_statistical_maps.zip b/dev/_downloads/94f332cc76279dbd61b4f002b04f7c6a/plot_extract_rois_statistical_maps.zip
diff --git a/dev/_downloads/950d0c185a8aed66ad196c3cc9fefa4c/plot_demo_glass_brain_extensive.zip b/dev/_downloads/950d0c185a8aed66ad196c3cc9fefa4c/plot_demo_glass_brain_extensive.zip
diff --git a/dev/_downloads/96c7ad58486c5617ba73b88512a14cc7/plot_first_level_details.py b/dev/_downloads/96c7ad58486c5617ba73b88512a14cc7/plot_first_level_details.py
@@ -560,7 +560,11 @@ def plot_contrast(first_level_model):
 from nilearn.image import resample_to_img
 
 resampled_icbm_mask = resample_to_img(
-    icbm_mask, data_mask, interpolation="nearest", copy_header=True
+    icbm_mask,
+    data_mask,
+    interpolation="nearest",
+    copy_header=True,
+    force_resample=True,
 )
 
 # %%

diff --git a/dev/_downloads/98f9b58ac9f520ebed518db8644c9a41/plot_design_matrix.zip b/dev/_downloads/98f9b58ac9f520ebed518db8644c9a41/plot_design_matrix.zip
diff --git a/dev/_downloads/9a6b5240664afcf9eca8b6f9ee51cf4a/plot_compare_decomposition.zip b/dev/_downloads/9a6b5240664afcf9eca8b6f9ee51cf4a/plot_compare_decomposition.zip
diff --git a/dev/_downloads/9acefdc5741932088d86d5e054c4d9e3/plot_spm_multimodal_faces.zip b/dev/_downloads/9acefdc5741932088d86d5e054c4d9e3/plot_spm_multimodal_faces.zip
diff --git a/dev/_downloads/9ad2be797456fc853c1398c319f6d963/plot_haxby_glm_decoding.zip b/dev/_downloads/9ad2be797456fc853c1398c319f6d963/plot_haxby_glm_decoding.zip
diff --git a/dev/_downloads/9edafba8910beb5d701b7347912e9efa/plot_seed_to_voxel_correlation.zip b/dev/_downloads/9edafba8910beb5d701b7347912e9efa/plot_seed_to_voxel_correlation.zip
diff --git a/dev/_downloads/9edf432086e8eedc181d6828392f8027/plot_second_level_association_test.zip b/dev/_downloads/9edf432086e8eedc181d6828392f8027/plot_second_level_association_test.zip
diff --git a/dev/_downloads/a28e5e1d886cf6349700a2aee34d4efb/plot_spm_multimodal_faces.ipynb b/dev/_downloads/a28e5e1d886cf6349700a2aee34d4efb/plot_spm_multimodal_faces.ipynb
@@ -58,7 +58,7 @@
       },
       "outputs": [],
       "source": [
-        "import warnings\n\nfrom nilearn.image import concat_imgs, mean_img, resample_img\n\n# Avoid getting too many warnings due to resampling\nwith warnings.catch_warnings():\n    warnings.simplefilter(\"ignore\")\n    fmri_img = [\n        concat_imgs(subject_data.func1, auto_resample=True),\n        concat_imgs(subject_data.func2, auto_resample=True),\n    ]\naffine, shape = fmri_img[0].affine, fmri_img[0].shape\nprint(\"Resampling the second image (this takes time)...\")\nfmri_img[1] = resample_img(fmri_img[1], affine, shape[:3], copy_header=True)"
+        "import warnings\n\nfrom nilearn.image import concat_imgs, mean_img, resample_img\n\n# Avoid getting too many warnings due to resampling\nwith warnings.catch_warnings():\n    warnings.simplefilter(\"ignore\")\n    fmri_img = [\n        concat_imgs(subject_data.func1, auto_resample=True),\n        concat_imgs(subject_data.func2, auto_resample=True),\n    ]\naffine, shape = fmri_img[0].affine, fmri_img[0].shape\nprint(\"Resampling the second image (this takes time)...\")\nfmri_img[1] = resample_img(\n    fmri_img[1], affine, shape[:3], copy_header=True, force_resample=True\n)"
       ]
     },
     {

diff --git a/dev/_downloads/a3faf0d89c34e8ff85661320c3ba3107/plot_atlas_comparison.zip b/dev/_downloads/a3faf0d89c34e8ff85661320c3ba3107/plot_atlas_comparison.zip
diff --git a/dev/_downloads/a50c8c77b5aaa8ab10416750758e81ed/plot_surf_stat_map_experimental.zip b/dev/_downloads/a50c8c77b5aaa8ab10416750758e81ed/plot_surf_stat_map_experimental.zip
diff --git a/dev/_downloads/a61865436a8c739855dd39d7e9ff3f6e/plot_overlay.zip b/dev/_downloads/a61865436a8c739855dd39d7e9ff3f6e/plot_overlay.zip
diff --git a/dev/_downloads/a6b1258e9ec2360536784f4f6a0da761/plot_second_level_design_matrix.zip b/dev/_downloads/a6b1258e9ec2360536784f4f6a0da761/plot_second_level_design_matrix.zip
diff --git a/dev/_downloads/a88942e7cf245c6313af9264fc1aecb7/plot_mixed_gambles_frem.zip b/dev/_downloads/a88942e7cf245c6313af9264fc1aecb7/plot_mixed_gambles_frem.zip
diff --git a/dev/_downloads/a942bc4c0b46c8ce36a01199a392adf7/plot_demo_more_plotting.zip b/dev/_downloads/a942bc4c0b46c8ce36a01199a392adf7/plot_demo_more_plotting.zip
diff --git a/dev/_downloads/ab899e71112e32a89fd2aef3e680104d/plot_neurovault_meta_analysis.zip b/dev/_downloads/ab899e71112e32a89fd2aef3e680104d/plot_neurovault_meta_analysis.zip
diff --git a/dev/_downloads/acd7f7befeb447e4e7899e3c54ceb70f/plot_predictions_residuals.zip b/dev/_downloads/acd7f7befeb447e4e7899e3c54ceb70f/plot_predictions_residuals.zip
diff --git a/dev/_downloads/ae6651d16ab1c955dfa9a76911d6a9f5/plot_second_level_one_sample_test.zip b/dev/_downloads/ae6651d16ab1c955dfa9a76911d6a9f5/plot_second_level_one_sample_test.zip
diff --git a/dev/_downloads/b0ce6fe6dbc2489bffa0c57abe9b950d/plot_extract_regions_dictlearning_maps.zip b/dev/_downloads/b0ce6fe6dbc2489bffa0c57abe9b950d/plot_extract_regions_dictlearning_maps.zip
diff --git a/dev/_downloads/b387fe754858f9f5253f7a5c357cc0b3/plot_compare_mean_image.zip b/dev/_downloads/b387fe754858f9f5253f7a5c357cc0b3/plot_compare_mean_image.zip
diff --git a/dev/_downloads/b661e1273b0710920dee982421e3395c/plot_inverse_covariance_connectome.zip b/dev/_downloads/b661e1273b0710920dee982421e3395c/plot_inverse_covariance_connectome.zip
diff --git a/dev/_downloads/bc534df441f349d0f6e70283606cb03c/plot_oasis.ipynb b/dev/_downloads/bc534df441f349d0f6e70283606cb03c/plot_oasis.ipynb
@@ -94,7 +94,7 @@
       },
       "outputs": [],
       "source": [
-        "from nilearn.image import resample_to_img\n\nmask_img = resample_to_img(\n    gm_mask,\n    gray_matter_map_filenames[0],\n    interpolation=\"nearest\",\n    copy_header=True,\n)"
+        "from nilearn.image import resample_to_img\n\nmask_img = resample_to_img(\n    gm_mask,\n    gray_matter_map_filenames[0],\n    interpolation=\"nearest\",\n    copy_header=True,\n    force_resample=True,\n)"
       ]
     },
     {

diff --git a/dev/_downloads/bd7c9f13913c54f2c639812df2883116/plot_surf_atlas.zip b/dev/_downloads/bd7c9f13913c54f2c639812df2883116/plot_surf_atlas.zip
diff --git a/dev/_downloads/bea33831d73dc5d54aa039e7e203bd4c/plot_thresholding.zip b/dev/_downloads/bea33831d73dc5d54aa039e7e203bd4c/plot_thresholding.zip
diff --git a/dev/_downloads/c12576c8ab832e318ee59dc25754620a/plot_nifti_labels_simple.zip b/dev/_downloads/c12576c8ab832e318ee59dc25754620a/plot_nifti_labels_simple.zip
diff --git a/dev/_downloads/c2dbdcbf62c03dcec47eef5bfe82b8a3/plot_demo_plotting.zip b/dev/_downloads/c2dbdcbf62c03dcec47eef5bfe82b8a3/plot_demo_plotting.zip
diff --git a/dev/_downloads/c3e5d9800ce64d6b0efa511d212f7ff9/plot_group_level_connectivity.zip b/dev/_downloads/c3e5d9800ce64d6b0efa511d212f7ff9/plot_group_level_connectivity.zip
diff --git a/dev/_downloads/c4808d211b76a92e9f25f308c9cc9778/plot_localizer_surface_analysis.zip b/dev/_downloads/c4808d211b76a92e9f25f308c9cc9778/plot_localizer_surface_analysis.zip
diff --git a/dev/_downloads/cbf864c02ea58bf659a2107a80acc575/plot_nifti_simple.zip b/dev/_downloads/cbf864c02ea58bf659a2107a80acc575/plot_nifti_simple.zip
diff --git a/dev/_downloads/d240b0576090ac29991a19243c699313/plot_haxby_searchlight.zip b/dev/_downloads/d240b0576090ac29991a19243c699313/plot_haxby_searchlight.zip
diff --git a/dev/_downloads/d67c320e54f8f0ca7efbace63496680e/plot_simulated_connectome.zip b/dev/_downloads/d67c320e54f8f0ca7efbace63496680e/plot_simulated_connectome.zip
diff --git a/dev/_downloads/d7963643e1525b2d2ed82c66856277b5/plot_localizer_mass_univariate_methods.zip b/dev/_downloads/d7963643e1525b2d2ed82c66856277b5/plot_localizer_mass_univariate_methods.zip
diff --git a/dev/_downloads/d8819acdc678cb07acd5acddd83e9bb1/plot_prob_atlas.zip b/dev/_downloads/d8819acdc678cb07acd5acddd83e9bb1/plot_prob_atlas.zip
diff --git a/dev/_downloads/d8d9e58b29a236e3e22803ef8164df20/plot_sphere_based_connectome.zip b/dev/_downloads/d8d9e58b29a236e3e22803ef8164df20/plot_sphere_based_connectome.zip
diff --git a/dev/_downloads/da266338d4a7e0f03f333f5af6d3bbac/plot_surf_atlas_experimental.zip b/dev/_downloads/da266338d4a7e0f03f333f5af6d3bbac/plot_surf_atlas_experimental.zip
diff --git a/dev/_downloads/dda8dc20f55415d1fb2d905db4661f87/plot_adhd_dmn.zip b/dev/_downloads/dda8dc20f55415d1fb2d905db4661f87/plot_adhd_dmn.zip
diff --git a/dev/_downloads/e8d0fec113f297f663796493a179d89f/plot_surface_bids_analysis.zip b/dev/_downloads/e8d0fec113f297f663796493a179d89f/plot_surface_bids_analysis.zip
diff --git a/dev/_downloads/eb173a3a75ae72eb6bfd3d63625d0f10/plot_haxby_multiclass.zip b/dev/_downloads/eb173a3a75ae72eb6bfd3d63625d0f10/plot_haxby_multiclass.zip
diff --git a/dev/_downloads/ec9ec7cc0c1ea84207d4b1895aa51c35/plot_atlas.zip b/dev/_downloads/ec9ec7cc0c1ea84207d4b1895aa51c35/plot_atlas.zip
diff --git a/dev/_downloads/ef891579a60b1bdf68937149b8c6c6e9/plot_negate_image.zip b/dev/_downloads/ef891579a60b1bdf68937149b8c6c6e9/plot_negate_image.zip
diff --git a/dev/_downloads/f395544c92d89d41f165c66b83663359/plot_localizer_simple_analysis.zip b/dev/_downloads/f395544c92d89d41f165c66b83663359/plot_localizer_simple_analysis.zip
diff --git a/dev/_downloads/f50b3205028cf5c0f8e176b94f00db09/plot_roi_extraction.zip b/dev/_downloads/f50b3205028cf5c0f8e176b94f00db09/plot_roi_extraction.zip
diff --git a/dev/_downloads/f600cb06960f22ec0253837da312647b/plot_resample_to_template.ipynb b/dev/_downloads/f600cb06960f22ec0253837da312647b/plot_resample_to_template.ipynb
@@ -40,7 +40,7 @@
       },
       "outputs": [],
       "source": [
-        "from nilearn.image import resample_to_img\n\nresampled_stat_img = resample_to_img(stat_img, template, copy_header=True)"
+        "from nilearn.image import resample_to_img\n\nresampled_stat_img = resample_to_img(\n    stat_img, template, copy_header=True, force_resample=True\n)"
       ]
     },
     {

diff --git a/dev/_downloads/fea3af77ca714bc79a6ef19a9de3e2bd/plot_haxby_searchlight_surface.zip b/dev/_downloads/fea3af77ca714bc79a6ef19a9de3e2bd/plot_haxby_searchlight_surface.zip
diff --git a/dev/_downloads/ff1c3f1839b56e730a233c58d5a283c9/plot_haxby_different_estimators.zip b/dev/_downloads/ff1c3f1839b56e730a233c58d5a283c9/plot_haxby_different_estimators.zip
diff --git a/dev/_images/sphx_glr_plot_advanced_decoding_scikit_001.png b/dev/_images/sphx_glr_plot_advanced_decoding_scikit_001.png
diff --git a/dev/_images/sphx_glr_plot_advanced_decoding_scikit_thumb.png b/dev/_images/sphx_glr_plot_advanced_decoding_scikit_thumb.png
diff --git a/dev/_images/sphx_glr_plot_beta_series_001.png b/dev/_images/sphx_glr_plot_beta_series_001.png
diff --git a/dev/_images/sphx_glr_plot_beta_series_002.png b/dev/_images/sphx_glr_plot_beta_series_002.png
diff --git a/dev/_images/sphx_glr_plot_beta_series_003.png b/dev/_images/sphx_glr_plot_beta_series_003.png
diff --git a/dev/_images/sphx_glr_plot_beta_series_004.png b/dev/_images/sphx_glr_plot_beta_series_004.png
diff --git a/dev/_images/sphx_glr_plot_beta_series_005.png b/dev/_images/sphx_glr_plot_beta_series_005.png
diff --git a/dev/_images/sphx_glr_plot_beta_series_thumb.png b/dev/_images/sphx_glr_plot_beta_series_thumb.png
diff --git a/dev/_images/sphx_glr_plot_bids_analysis_001.png b/dev/_images/sphx_glr_plot_bids_analysis_001.png
diff --git a/dev/_images/sphx_glr_plot_bids_analysis_002.png b/dev/_images/sphx_glr_plot_bids_analysis_002.png
diff --git a/dev/_images/sphx_glr_plot_bids_analysis_thumb.png b/dev/_images/sphx_glr_plot_bids_analysis_thumb.png
diff --git a/dev/_images/sphx_glr_plot_design_matrix_001.png b/dev/_images/sphx_glr_plot_design_matrix_001.png
diff --git a/dev/_images/sphx_glr_plot_design_matrix_002.png b/dev/_images/sphx_glr_plot_design_matrix_002.png
diff --git a/dev/_images/sphx_glr_plot_design_matrix_thumb.png b/dev/_images/sphx_glr_plot_design_matrix_thumb.png
diff --git a/dev/_images/sphx_glr_plot_first_level_details_024.png b/dev/_images/sphx_glr_plot_first_level_details_024.png
diff --git a/dev/_images/sphx_glr_plot_haxby_anova_svm_001.png b/dev/_images/sphx_glr_plot_haxby_anova_svm_001.png
diff --git a/dev/_images/sphx_glr_plot_haxby_anova_svm_thumb.png b/dev/_images/sphx_glr_plot_haxby_anova_svm_thumb.png
diff --git a/dev/_images/sphx_glr_plot_haxby_different_estimators_002.png b/dev/_images/sphx_glr_plot_haxby_different_estimators_002.png
diff --git a/dev/_images/sphx_glr_plot_haxby_different_estimators_005.png b/dev/_images/sphx_glr_plot_haxby_different_estimators_005.png
diff --git a/dev/_images/sphx_glr_plot_haxby_full_analysis_001.png b/dev/_images/sphx_glr_plot_haxby_full_analysis_001.png
diff --git a/dev/_images/sphx_glr_plot_haxby_full_analysis_thumb.png b/dev/_images/sphx_glr_plot_haxby_full_analysis_thumb.png
diff --git a/dev/_images/sphx_glr_plot_haxby_grid_search_001.png b/dev/_images/sphx_glr_plot_haxby_grid_search_001.png
diff --git a/dev/_images/sphx_glr_plot_haxby_grid_search_thumb.png b/dev/_images/sphx_glr_plot_haxby_grid_search_thumb.png
diff --git a/dev/_images/sphx_glr_plot_haxby_mass_univariate_002.png b/dev/_images/sphx_glr_plot_haxby_mass_univariate_002.png
diff --git a/dev/_images/sphx_glr_plot_haxby_searchlight_001.png b/dev/_images/sphx_glr_plot_haxby_searchlight_001.png
diff --git a/dev/_images/sphx_glr_plot_haxby_searchlight_thumb.png b/dev/_images/sphx_glr_plot_haxby_searchlight_thumb.png
diff --git a/dev/_images/sphx_glr_plot_localizer_mass_univariate_methods_001.png b/dev/_images/sphx_glr_plot_localizer_mass_univariate_methods_001.png
diff --git a/dev/_images/sphx_glr_plot_localizer_mass_univariate_methods_thumb.png b/dev/_images/sphx_glr_plot_localizer_mass_univariate_methods_thumb.png
diff --git a/dev/_images/sphx_glr_plot_oasis_vbm_004.png b/dev/_images/sphx_glr_plot_oasis_vbm_004.png
diff --git a/dev/_images/sphx_glr_plot_second_level_association_test_003.png b/dev/_images/sphx_glr_plot_second_level_association_test_003.png
diff --git a/dev/_images/sphx_glr_plot_second_level_one_sample_test_003.png b/dev/_images/sphx_glr_plot_second_level_one_sample_test_003.png
diff --git a/dev/_images/sphx_glr_plot_simulated_data_002.png b/dev/_images/sphx_glr_plot_simulated_data_002.png
diff --git a/dev/_images/sphx_glr_plot_simulated_data_004.png b/dev/_images/sphx_glr_plot_simulated_data_004.png
diff --git a/dev/_images/sphx_glr_plot_simulated_data_006.png b/dev/_images/sphx_glr_plot_simulated_data_006.png
diff --git a/dev/_images/sphx_glr_plot_surface_image_and_maskers_004.png b/dev/_images/sphx_glr_plot_surface_image_and_maskers_004.png
diff --git a/dev/_sources/auto_examples/00_tutorials/plot_3d_and_4d_niimg.rst.txt b/dev/_sources/auto_examples/00_tutorials/plot_3d_and_4d_niimg.rst.txt
@@ -127,7 +127,7 @@ statistical map:
  .. code-block:: none
 
 
-    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7fac49707e60>
+    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7f0b7e822600>
 
 
 
@@ -156,7 +156,7 @@ Visualizing works better with a threshold
  .. code-block:: none
 
 
-    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7fac48e393d0>
+    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7f0b7d82eab0>
 
 
 
@@ -185,6 +185,7 @@ correspondence between rest and task
 
     [get_dataset_dir] Dataset found in /home/runner/work/nilearn/nilearn/nilearn_data/smith_2009
     [fetch_single_file] Downloading data from https://www.fmrib.ox.ac.uk/datasets/brainmap+rsns/PNAS_Smith09_rsn10.nii.gz ...
+    [_chunk_read_]     Downloaded 1712128 of 7565016 bytes (22.6%,    3.5s remaining)
     [fetch_single_file]  ...done. (2 seconds, 0 min)
 
 
@@ -269,7 +270,7 @@ We can then plot it
  .. code-block:: none
 
 
-    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7fac48d3bbf0>
+    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7f0b7d6da6f0>
 
 
 
@@ -480,9 +481,9 @@ image.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 18.593 seconds)
+   **Total running time of the script:** (0 minutes 20.366 seconds)
 
-**Estimated memory usage:**  371 MB
+**Estimated memory usage:**  373 MB
 
 
 .. _sphx_glr_download_auto_examples_00_tutorials_plot_3d_and_4d_niimg.py: