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toposort.py
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toposort.py
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from __future__ import print_function, division, absolute_import
from functools import reduce as _reduce
import logging
log = logging.getLogger(__name__)
def _toposort(data):
"""Dependencies are expressed as a dictionary whose keys are items
and whose values are a set of dependent items. Output is a list of
sets in topological order. The first set consists of items with no
dependences, each subsequent set consists of items that depend upon
items in the preceding sets.
"""
# Special case empty input.
if len(data) == 0:
return
# Ignore self dependencies.
for k, v in data.items():
v.discard(k)
# Find all items that don't depend on anything.
extra_items_in_deps = _reduce(set.union, data.values()) - set(data.keys())
# Add empty dependences where needed.
data.update({item:set() for item in extra_items_in_deps})
while True:
ordered = sorted(set(item for item, dep in data.items() if len(dep) == 0))
if not ordered:
break
for item in ordered:
yield item
data.pop(item, None)
for dep in sorted(data.values()):
dep -= set(ordered)
# data = {item: (dep - ordered)
# for item, dep in data.items()
# if item not in ordered}
if len(data) != 0:
msg = 'Cyclic dependencies exist among these items: {}'
raise ValueError(msg.format(' -> '.join(repr(x) for x in data.keys())))
def pop_key(data):
'''
Pop an item from the graph that has the fewest dependencies in the case of a tie
The winners will be sorted alphabetically
'''
items = sorted(data.items(), key=lambda item: (len(item[1]), item[0]))
key = items[0][0]
data.pop(key)
for dep in data.values():
dep.discard(key)
return key
def _safe_toposort(data):
"""Dependencies are expressed as a dictionary whose keys are items
and whose values are a set of dependent items. Output is a list of
sets in topological order. The first set consists of items with no
dependencies, each subsequent set consists of items that depend upon
items in the preceding sets.
"""
# Special case empty input.
if len(data) == 0:
return
t = _toposort(data)
while True:
try:
value = next(t)
yield value
except ValueError as err:
log.debug(err.args[0])
if not data:
return
yield pop_key(data)
t = _toposort(data)
continue
except StopIteration:
return
def toposort(data, safe=True):
data = {k:set(v) for k, v in data.items()}
if safe:
return list(_safe_toposort(data))
else:
return list(_toposort(data))