34
31
graph -- sequence of pairs of node->parents_list.
36
The result is a list of node names, such that all parents come before their
33
The result is a list of node names, such that all parents come before
39
36
node identifiers can be any hashable object, and are typically strings.
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This function has the same purpose as the TopoSorter class, but uses a
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different algorithm to sort the graph. That means that while both return a
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list with parents before their child nodes, the exact ordering can be
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topo_sort is faster when the whole list is needed, while when iterating
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over a part of the list, TopoSorter.iter_topo_order should be used.
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kg = _mod_graph.KnownGraph(dict(graph))
38
return TopoSorter(graph).sorted()
53
41
class TopoSorter(object):
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60
iteration or sorting may raise GraphCycleError if a cycle is present
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# store a dict of the graph.
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# a dict of the graph.
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self._graph = dict(graph)
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self._visitable = set(self._graph)
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# self._original_graph = dict(graph)
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# this is a stack storing the depth first search into the graph.
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self._node_name_stack = []
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# at each level of 'recursion' we have to check each parent. This
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# stack stores the parents we have not yet checked for the node at the
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# matching depth in _node_name_stack
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self._pending_parents_stack = []
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# this is a set of the completed nodes for fast checking whether a
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# parent in a node we are processing on the stack has already been
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# emitted and thus can be skipped.
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self._completed_node_names = set()
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"""Sort the graph and return as a list.
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After finishing iteration the sorter is empty and you cannot continue
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visitable = set(graph)
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# this is a stack storing the depth first search into the graph.
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pending_node_stack = []
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# at each level of 'recursion' we have to check each parent. This
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# stack stores the parents we have not yet checked for the node at the
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# matching depth in pending_node_stack
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pending_parents_stack = []
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# this is a set of the completed nodes for fast checking whether a
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# parent in a node we are processing on the stack has already been
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# emitted and thus can be skipped.
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completed_node_names = set()
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104
# now pick a random node in the source graph, and transfer it to the
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# top of the depth first search stack of pending nodes.
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node_name, parents = graph.popitem()
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pending_node_stack.append(node_name)
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pending_parents_stack.append(list(parents))
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# loop until pending_node_stack is empty
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while pending_node_stack:
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parents_to_visit = pending_parents_stack[-1]
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# if there are no parents left, the revision is done
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# top of the depth first search stack.
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node_name, parents = self._graph.popitem()
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self._push_node(node_name, parents)
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while self._node_name_stack:
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# loop until this call completes.
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parents_to_visit = self._pending_parents_stack[-1]
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# if all parents are done, the revision is done
127
112
if not parents_to_visit:
128
113
# append the revision to the topo sorted list
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# all the nodes parents have been added to the output,
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# now we can add it to the output.
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popped_node = pending_node_stack.pop()
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pending_parents_stack.pop()
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completed_node_names.add(popped_node)
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# all the nodes parents have been added to the output, now
115
# we can add it to the output.
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yield self._pop_node()
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# recurse depth first into a single parent
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next_node_name = parents_to_visit.pop()
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if next_node_name in completed_node_names:
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# parent was already completed by a child, skip it.
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if next_node_name not in visitable:
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# parent is not a node in the original graph, skip it.
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# transfer it along with its parents from the source graph
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# into the top of the current depth first search stack.
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parents = graph.pop(next_node_name)
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# if the next node is not in the source graph it has
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# already been popped from it and placed into the
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# current search stack (but not completed or we would
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# have hit the continue 6 lines up). this indicates a
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raise errors.GraphCycleError(pending_node_stack)
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pending_node_stack.append(next_node_name)
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pending_parents_stack.append(list(parents))
118
while self._pending_parents_stack[-1]:
119
# recurse depth first into a single parent
120
next_node_name = self._pending_parents_stack[-1].pop()
121
if next_node_name in self._completed_node_names:
122
# this parent was completed by a child on the
123
# call stack. skip it.
125
if next_node_name not in self._visitable:
127
# otherwise transfer it from the source graph into the
128
# top of the current depth first search stack.
130
parents = self._graph.pop(next_node_name)
132
# if the next node is not in the source graph it has
133
# already been popped from it and placed into the
134
# current search stack (but not completed or we would
135
# have hit the continue 4 lines up.
136
# this indicates a cycle.
137
raise errors.GraphCycleError(self._node_name_stack)
138
self._push_node(next_node_name, parents)
139
# and do not continue processing parents until this 'call'
143
def _push_node(self, node_name, parents):
144
"""Add node_name to the pending node stack.
146
Names in this stack will get emitted into the output as they are popped
149
self._node_name_stack.append(node_name)
150
self._pending_parents_stack.append(list(parents))
153
"""Pop the top node off the stack
155
The node is appended to the sorted output.
157
# we are returning from the flattened call frame:
158
# pop off the local variables
159
node_name = self._node_name_stack.pop()
160
self._pending_parents_stack.pop()
162
self._completed_node_names.add(node_name)
161
166
def merge_sort(graph, branch_tip, mainline_revisions=None, generate_revno=False):