Documentation branch #38
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tsalo
reviewed
Aug 15, 2018
brainconn/centrality/centrality.py
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| @@ -817,3 +857,16 @@ def subgraph_centrality(CIJ): | |||
| # compute eigenvector centr. | |||
| Cs = np.real(np.dot(vecs * vecs, np.exp(vals))) | |||
| return Cs # imaginary part from precision error | |||
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| def Leverage_centrality: | |||
There was a problem hiding this comment.
You need to define functions with parentheses, even if they're empty. We also need to include the word "pass" when the function isn't running yet.
So instead of
def Leverage_centrality:
"""Documentation...
"""we should have:
def Leverage_centrality():
"""Documentation...
"""
pass
tsalo
reviewed
Aug 15, 2018
brainconn/centrality/centrality.py
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| """ | ||
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| def Delta_centrality (G): |
There was a problem hiding this comment.
Function names should be lower snake case, so Delta_centrality --> delta_centrality, Degree_centrality --> degree_centrality, Leverage_centrality --> leverage_centrality.
tsalo
reviewed
Aug 15, 2018
brainconn/centrality/centrality.py
Outdated
| """ | ||
| Node betweenness centrality is the fraction of all shortest paths in | ||
| the network that contain a given node. Nodes with high values of | ||
| betweenness centrality participate in a large number of shortest paths. | ||
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There was a problem hiding this comment.
We also don't want these extra spaces here.
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These changes look good, but I'll hold off on merging the PR until we consolidate some functions and address the failing tests in other work. |
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Closes # .
Changes proposed in this pull request: