mirror of https://github.com/zulip/zulip.git
142 lines
3.9 KiB
Python
142 lines
3.9 KiB
Python
from __future__ import absolute_import
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from __future__ import print_function
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from collections import defaultdict
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from typing import Callable, DefaultDict, Iterator, List, Set, Tuple
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Edge = Tuple[str, str]
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EdgeSet = Set[Edge]
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class Graph(object):
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def __init__(self, tuples):
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# type: (EdgeSet) -> None
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self.children = defaultdict(list) # type: DefaultDict[str, List[str]]
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self.parents = defaultdict(list) # type: DefaultDict[str, List[str]]
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self.nodes = set() # type: Set[str]
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for parent, child in tuples:
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self.parents[child].append(parent)
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self.children[parent].append(child)
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self.nodes.add(parent)
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self.nodes.add(child)
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def copy(self):
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# type: () -> Graph
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return Graph(self.edges())
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def num_edges(self):
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# type: () -> int
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return len(self.edges())
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def minus_edge(self, edge):
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# type: (Edge) -> Graph
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edges = self.edges().copy()
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edges.remove(edge)
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return Graph(edges)
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def edges(self):
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# type: () -> EdgeSet
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s = set()
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for parent in self.nodes:
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for child in self.children[parent]:
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s.add((parent, child))
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return s
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def remove_exterior_nodes(self):
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# type: () -> None
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still_work_to_do = True
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while still_work_to_do:
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still_work_to_do = False # for now
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for node in self.nodes:
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if self.is_exterior_node(node):
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self.remove(node)
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still_work_to_do = True
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break
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def is_exterior_node(self, node):
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# type: (str) -> bool
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parents = self.parents[node]
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children = self.children[node]
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if not parents:
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return True
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if not children:
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return True
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if len(parents) > 1 or len(children) > 1:
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return False
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# If our only parent and child are the same node, then we could
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# effectively be collapsed into the parent, so don't add clutter.
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return parents[0] == children[0]
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def remove(self, node):
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# type: (str) -> None
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for parent in self.parents[node]:
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self.children[parent].remove(node)
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for child in self.children[node]:
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self.parents[child].remove(node)
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self.nodes.remove(node)
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def report(self):
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# type: () -> None
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print('parents/children/module')
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tups = sorted([
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(len(self.parents[node]), len(self.children[node]), node)
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for node in self.nodes])
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for tup in tups:
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print(tup)
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def best_edge_to_remove(orig_graph, is_exempt):
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# type: (Graph, Callable[[Edge], bool]) -> Edge
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# expects an already reduced graph as input
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orig_edges = orig_graph.edges()
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def get_choices():
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# type: () -> Iterator[Tuple[int, Edge]]
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for edge in orig_edges:
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if is_exempt(edge):
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continue
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graph = orig_graph.minus_edge(edge)
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graph.remove_exterior_nodes()
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size = graph.num_edges()
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yield (size, edge)
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choices = list(get_choices())
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if not choices:
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return None
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min_size, best_edge = min(choices)
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if min_size >= orig_graph.num_edges():
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raise Exception('no edges work here')
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return best_edge
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def make_dot_file(graph):
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# type: (Graph) -> str
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buffer = 'digraph G {\n'
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for node in graph.nodes:
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buffer += node + ';\n'
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for child in graph.children[node]:
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buffer += '{} -> {};\n'.format(node, child)
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buffer += '}'
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return buffer
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def test():
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# type: () -> None
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graph = Graph(set([
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('x', 'a'),
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('a', 'b'),
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('b', 'c'),
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('c', 'a'),
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('c', 'd'),
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('d', 'e'),
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('e', 'f'),
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('e', 'g'),
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]))
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graph.remove_exterior_nodes()
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s = make_dot_file(graph)
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open('zulip-deps.dot', 'w').write(s)
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if __name__ == '__main__':
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test()
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