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# Copyright (C) 2009 Canonical Ltd
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
"""Implementation of Graph algorithms when we have already loaded everything.
"""
from bzrlib import (
errors,
revision,
)
class _KnownGraphNode(object):
"""Represents a single object in the known graph."""
__slots__ = ('key', 'parent_keys', 'child_keys', 'gdfo')
def __init__(self, key, parent_keys):
self.key = key
self.parent_keys = parent_keys
self.child_keys = []
# Greatest distance from origin
self.gdfo = None
def __repr__(self):
return '%s(%s gdfo:%s par:%s child:%s)' % (
self.__class__.__name__, self.key, self.gdfo,
self.parent_keys, self.child_keys)
class _MergeSortNode(object):
"""Information about a specific node in the merge graph."""
__slots__ = ('key', 'merge_depth', 'revno', 'end_of_merge')
def __init__(self, key, merge_depth, revno, end_of_merge):
self.key = key
self.merge_depth = merge_depth
self.revno = revno
self.end_of_merge = end_of_merge
class KnownGraph(object):
"""This is a class which assumes we already know the full graph."""
def __init__(self, parent_map, do_cache=True):
"""Create a new KnownGraph instance.
:param parent_map: A dictionary mapping key => parent_keys
"""
self._nodes = {}
# Maps {sorted(revision_id, revision_id): heads}
self._known_heads = {}
self.do_cache = do_cache
self._initialize_nodes(parent_map)
self._find_gdfo()
def _initialize_nodes(self, parent_map):
"""Populate self._nodes.
After this has finished:
- self._nodes will have an entry for every entry in parent_map.
- ghosts will have a parent_keys = None,
- all nodes found will also have .child_keys populated with all known
child_keys,
"""
nodes = self._nodes
for key, parent_keys in parent_map.iteritems():
if key in nodes:
node = nodes[key]
node.parent_keys = parent_keys
else:
node = _KnownGraphNode(key, parent_keys)
nodes[key] = node
for parent_key in parent_keys:
try:
parent_node = nodes[parent_key]
except KeyError:
parent_node = _KnownGraphNode(parent_key, None)
nodes[parent_key] = parent_node
parent_node.child_keys.append(key)
def _find_tails(self):
return [node for node in self._nodes.itervalues()
if not node.parent_keys]
def _find_gdfo(self):
nodes = self._nodes
known_parent_gdfos = {}
pending = []
for node in self._find_tails():
node.gdfo = 1
pending.append(node)
while pending:
node = pending.pop()
for child_key in node.child_keys:
child = nodes[child_key]
if child_key in known_parent_gdfos:
known_gdfo = known_parent_gdfos[child_key] + 1
present = True
else:
known_gdfo = 1
present = False
if child.gdfo is None or node.gdfo + 1 > child.gdfo:
child.gdfo = node.gdfo + 1
if known_gdfo == len(child.parent_keys):
# We are the last parent updating that node, we can
# continue from there
pending.append(child)
if present:
del known_parent_gdfos[child_key]
else:
# Update known_parent_gdfos for a key we couldn't process
known_parent_gdfos[child_key] = known_gdfo
def heads(self, keys):
"""Return the heads from amongst keys.
This is done by searching the ancestries of each key. Any key that is
reachable from another key is not returned; all the others are.
This operation scales with the relative depth between any two keys. It
uses gdfo to avoid walking all ancestry.
:param keys: An iterable of keys.
:return: A set of the heads. Note that as a set there is no ordering
information. Callers will need to filter their input to create
order if they need it.
"""
candidate_nodes = dict((key, self._nodes[key]) for key in keys)
if revision.NULL_REVISION in candidate_nodes:
# NULL_REVISION is only a head if it is the only entry
candidate_nodes.pop(revision.NULL_REVISION)
if not candidate_nodes:
return frozenset([revision.NULL_REVISION])
if len(candidate_nodes) < 2:
# No or only one candidate
return frozenset(candidate_nodes)
heads_key = frozenset(candidate_nodes)
# Do we have a cached result ?
try:
heads = self._known_heads[heads_key]
return heads
except KeyError:
pass
# Let's compute the heads
seen = set()
pending = []
min_gdfo = None
for node in candidate_nodes.values():
if node.parent_keys:
pending.extend(node.parent_keys)
if min_gdfo is None or node.gdfo < min_gdfo:
min_gdfo = node.gdfo
nodes = self._nodes
while pending:
node_key = pending.pop()
if node_key in seen:
# node already appears in some ancestry
continue
seen.add(node_key)
node = nodes[node_key]
if node.gdfo <= min_gdfo:
continue
if node.parent_keys:
pending.extend(node.parent_keys)
heads = heads_key.difference(seen)
if self.do_cache:
self._known_heads[heads_key] = heads
return heads
def topo_sort(self):
"""Return the nodes in topological order.
All parents must occur before all children.
"""
for node in self._nodes.itervalues():
if node.gdfo is None:
raise errors.GraphCycleError(self._nodes)
pending = self._find_tails()
pending_pop = pending.pop
pending_append = pending.append
topo_order = []
topo_order_append = topo_order.append
num_seen_parents = dict.fromkeys(self._nodes, 0)
while pending:
node = pending_pop()
if node.parent_keys is not None:
# We don't include ghost parents
topo_order_append(node.key)
for child_key in node.child_keys:
child_node = self._nodes[child_key]
seen_parents = num_seen_parents[child_key] + 1
if seen_parents == len(child_node.parent_keys):
# All parents have been processed, enqueue this child
pending_append(child_node)
# This has been queued up, stop tracking it
del num_seen_parents[child_key]
else:
num_seen_parents[child_key] = seen_parents
# We started from the parents, so we don't need to do anymore work
return topo_order
def merge_sort(self, tip_key):
"""Compute the merge sorted graph output."""
from bzrlib import tsort
as_parent_map = dict((node.key, node.parent_keys)
for node in self._nodes.itervalues()
if node.parent_keys is not None)
# We intentionally always generate revnos and never force the
# mainline_revisions
# Strip the sequence_number that merge_sort generates
return [_MergeSortNode(key, merge_depth, revno, end_of_merge)
for _, key, merge_depth, revno, end_of_merge
in tsort.merge_sort(as_parent_map, tip_key,
mainline_revisions=None,
generate_revno=True)]
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