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docstring corrections and pep8
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@@ -13,7 +13,7 @@ from matplotlib import pyplot as plt
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def weight_boundary(graph, src, dst, n):
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"""
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Callback to handle merging of nodes of a region boundary RAG.
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Handle merging of nodes of a region boundary region adjacency graph.
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This function computes the `"weight"` and the count `"count"`
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attributes of the edge between `n` and the node formed after
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@@ -32,7 +32,7 @@ def weight_boundary(graph, src, dst, n):
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Returns
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-------
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data : dict
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A dictionary with the `"weight"` and `"count"` attributes to be
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A dictionary with the "weight" and "count" attributes to be
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assigned for the merged node.
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"""
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@@ -47,7 +47,7 @@ def weight_boundary(graph, src, dst, n):
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count = count_src + count_dst
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return {
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'count': count,
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'weight': (count_src*weight_src + count_dst*weight_dst)/count
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'weight': (count_src * weight_src + count_dst * weight_dst)/count
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}
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@@ -24,23 +24,23 @@ def max_edge(g, src, dst, n):
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"""Callback to handle merging nodes by choosing maximum weight.
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Returns a dictionary with `"weight"` set as either the weight between
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(`src`, `n`) or (`dst`, `n`) in `graph` or the maximum of the two when
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(`src`, `n`) or (`dst`, `n`) in `g` or the maximum of the two when
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both exist.
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Parameters
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----------
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graph : RAG
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g : RAG
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The graph under consideration.
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src, dst : int
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The verices in `graph` to be merged.
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The vertices in `g` to be merged.
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n : int
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A neighbor of `src` or `dst` or both.
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Returns
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-------
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data : dict
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A dict with the `"weight"` attribute set the weight between
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(`src`, `n`) or (`dst`, `n`) in `graph` or the maximum of the two when
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A dict with the "weight" attribute set the weight between
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(`src`, `n`) or (`dst`, `n`) in `g` or the maximum of the two when
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both exist.
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"""
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