from mercurial import ancestor, commands, hg, ui, util
# graph is a dict of child->parent adjacency lists for this graph:
# o 13
# |
# | o 12
# | |
# | | o 11
# | | |\
# | | | | o 10
# | | | | |
# | o---+ | 9
# | | | | |
# o | | | | 8
# / / / /
# | | o | 7
# | | | |
# o---+ | 6
# / / /
# | | o 5
# | |/
# | o 4
# | |
# o | 3
# | |
# | o 2
# |/
# o 1
# |
# o 0
graph = {0: [-1], 1: [0], 2: [1], 3: [1], 4: [2], 5: [4], 6: [4],
7: [4], 8: [-1], 9: [6, 7], 10: [5], 11: [3, 7], 12: [9],
13: [8]}
pfunc = graph.get
class mockchangelog(object):
parentrevs = graph.get
def runmissingancestors(revs, bases):
print "%% ancestors of %s and not of %s" % (revs, bases)
print ancestor.missingancestors(revs, bases, pfunc)
def test_missingancestors():
# Empty revs
runmissingancestors([], [1])
runmissingancestors([], [])
# If bases is empty, it's the same as if it were [nullrev]
runmissingancestors([12], [])
# Trivial case: revs == bases
runmissingancestors([0], [0])
runmissingancestors([4, 5, 6], [6, 5, 4])
# With nullrev
runmissingancestors([-1], [12])
runmissingancestors([12], [-1])
# 9 is a parent of 12. 7 is a parent of 9, so an ancestor of 12. 6 is an
# ancestor of 12 but not of 7.
runmissingancestors([12], [9])
runmissingancestors([9], [12])
runmissingancestors([12, 9], [7])
runmissingancestors([7, 6], [12])
# More complex cases
runmissingancestors([10], [11, 12])
runmissingancestors([11], [10])
runmissingancestors([11], [10, 12])
runmissingancestors([12], [10])
runmissingancestors([12], [11])
runmissingancestors([10, 11, 12], [13])
runmissingancestors([13], [10, 11, 12])
def genlazyancestors(revs, stoprev=0, inclusive=False):
print ("%% lazy ancestor set for %s, stoprev = %s, inclusive = %s" %
(revs, stoprev, inclusive))
return ancestor.lazyancestors(mockchangelog, revs, stoprev=stoprev,
inclusive=inclusive)
def printlazyancestors(s, l):
print [n for n in l if n in s]
def test_lazyancestors():
# Empty revs
s = genlazyancestors([])
printlazyancestors(s, [3, 0, -1])
# Standard example
s = genlazyancestors([11, 13])
printlazyancestors(s, [11, 13, 7, 9, 8, 3, 6, 4, 1, -1, 0])
# Standard with ancestry in the initial set (1 is ancestor of 3)
s = genlazyancestors([1, 3])
printlazyancestors(s, [1, -1, 0])
# Including revs
s = genlazyancestors([11, 13], inclusive=True)
printlazyancestors(s, [11, 13, 7, 9, 8, 3, 6, 4, 1, -1, 0])
# Test with stoprev
s = genlazyancestors([11, 13], stoprev=6)
printlazyancestors(s, [11, 13, 7, 9, 8, 3, 6, 4, 1, -1, 0])
s = genlazyancestors([11, 13], stoprev=6, inclusive=True)
printlazyancestors(s, [11, 13, 7, 9, 8, 3, 6, 4, 1, -1, 0])
# The C gca algorithm requires a real repo. These are textual descriptions of
# DAGs that have been known to be problematic.
dagtests = [
'+2*2*2/*3/2',
'+3*3/*2*2/*4*4/*4/2*4/2*2',
]
def test_gca():
u = ui.ui()
for i, dag in enumerate(dagtests):
repo = hg.repository(u, 'gca%d' % i, create=1)
cl = repo.changelog
if not util.safehasattr(cl.index, 'ancestors'):
# C version not available
return
commands.debugbuilddag(u, repo, dag)
# Compare the results of the Python and C versions. This does not
# include choosing a winner when more than one gca exists -- we make
# sure both return exactly the same set of gcas.
for a in cl:
for b in cl:
cgcas = sorted(cl.index.ancestors(a, b))
pygcas = sorted(ancestor.ancestors(cl.parentrevs, a, b))
if cgcas != pygcas:
print "test_gca: for dag %s, gcas for %d, %d:" % (dag, a, b)
print " C returned: %s" % cgcas
print " Python returned: %s" % pygcas
if __name__ == '__main__':
test_missingancestors()
test_lazyancestors()
test_gca()