view tests/test-ancestor.py @ 42621:99ebde4fec99

commit: improve the files field of changelog for merges Currently, the files list of merge commits repeats all the deletions (either actual deletions, or files that got renamed) that happened between base and p2 of the merge. If p2 is the main branch, the list can easily be much bigger than the change being merged. This results in various problems worth improving: - changelog is bigger than necessary - `hg log directory` lists many unrelated merge commits, and `hg log -v -r commit` frequently fills multiple screens worth of files - it possibly slows down adjustlinkrev, by forcing it to read more manifests, and that function can certainly be a bottleneck - the server side of pulls can waste a lot of time simply opening the filelogs for pointless files (the constant factors for opening even a tiny filelog is apparently pretty bad) So stop listing such files as described in the code. Impacted merge commits and their descendants get a different hash than they would have without this. This doesn't seem problematic, except for convert. The previous commit helped with that in the hg->hg case (but if you do svn->hg twice from scratch, hashes can still change). The rest of the description is numbers. I don't have much to report, because recreating the files list of existing repositories is not easy: - debugupgradeformat and bundle/unbundle don't recreate the list - export/import tends to choke quickly applying patches or on description that contain diffs, - merge commits from the convert extension don't have the right files list for reasons orthogonal to the current commit - replaying the merge with hg update/hg merge/hg revert --all/hg commit can end up failing in hg revert - I wasn't sure that using debugsetparents + debugrebuilddirstate would really build the right thing I measured commit time before and after this change, in a case with no files filtered out, several files filtered out (no difference) and 5k files filtered out (+1% time). Recreating the 100 more recent merges in a private repo, the concatenated uncompressed files lists goes from 1.12MB to 0.52MB. Excluding 3 merges that are not representative, then the size goes from 570k to 15k. I converted part of mozilla-central, and observed file list shrinking quite a bit too, starting at the very first merge, 733641d9feaf, going from 550 files to 10 files (although they have relatively few merges, so they probably wouldn't care). Differential Revision: https://phab.mercurial-scm.org/D6613
author Valentin Gatien-Baron <valentin.gatienbaron@gmail.com>
date Tue, 02 Jul 2019 12:59:58 -0400
parents 876494fd967d
children 2372284d9457
line wrap: on
line source

from __future__ import absolute_import, print_function

import binascii
import getopt
import math
import os
import random
import sys
import time

from mercurial.node import nullrev
from mercurial import (
    ancestor,
    debugcommands,
    hg,
    pycompat,
    ui as uimod,
    util,
)

if pycompat.ispy3:
    long = int
    xrange = range

def buildgraph(rng, nodes=100, rootprob=0.05, mergeprob=0.2, prevprob=0.7):
    '''nodes: total number of nodes in the graph
    rootprob: probability that a new node (not 0) will be a root
    mergeprob: probability that, excluding a root a node will be a merge
    prevprob: probability that p1 will be the previous node

    return value is a graph represented as an adjacency list.
    '''
    graph = [None] * nodes
    for i in xrange(nodes):
        if i == 0 or rng.random() < rootprob:
            graph[i] = [nullrev]
        elif i == 1:
            graph[i] = [0]
        elif rng.random() < mergeprob:
            if i == 2 or rng.random() < prevprob:
                # p1 is prev
                p1 = i - 1
            else:
                p1 = rng.randrange(i - 1)
            p2 = rng.choice(list(range(0, p1)) + list(range(p1 + 1, i)))
            graph[i] = [p1, p2]
        elif rng.random() < prevprob:
            graph[i] = [i - 1]
        else:
            graph[i] = [rng.randrange(i - 1)]

    return graph

def buildancestorsets(graph):
    ancs = [None] * len(graph)
    for i in xrange(len(graph)):
        ancs[i] = {i}
        if graph[i] == [nullrev]:
            continue
        for p in graph[i]:
            ancs[i].update(ancs[p])
    return ancs

class naiveincrementalmissingancestors(object):
    def __init__(self, ancs, bases):
        self.ancs = ancs
        self.bases = set(bases)
    def addbases(self, newbases):
        self.bases.update(newbases)
    def removeancestorsfrom(self, revs):
        for base in self.bases:
            if base != nullrev:
                revs.difference_update(self.ancs[base])
        revs.discard(nullrev)
    def missingancestors(self, revs):
        res = set()
        for rev in revs:
            if rev != nullrev:
                res.update(self.ancs[rev])
        for base in self.bases:
            if base != nullrev:
                res.difference_update(self.ancs[base])
        return sorted(res)

def test_missingancestors(seed, rng):
    # empirically observed to take around 1 second
    graphcount = 100
    testcount = 10
    inccount = 10
    nerrs = [0]
    # the default mu and sigma give us a nice distribution of mostly
    # single-digit counts (including 0) with some higher ones
    def lognormrandom(mu, sigma):
        return int(math.floor(rng.lognormvariate(mu, sigma)))

    def samplerevs(nodes, mu=1.1, sigma=0.8):
        count = min(lognormrandom(mu, sigma), len(nodes))
        return rng.sample(nodes, count)

    def err(seed, graph, bases, seq, output, expected):
        if nerrs[0] == 0:
            print('seed:', hex(seed)[:-1], file=sys.stderr)
        if gerrs[0] == 0:
            print('graph:', graph, file=sys.stderr)
        print('* bases:', bases, file=sys.stderr)
        print('* seq: ', seq, file=sys.stderr)
        print('*  output:  ', output, file=sys.stderr)
        print('*  expected:', expected, file=sys.stderr)
        nerrs[0] += 1
        gerrs[0] += 1

    for g in xrange(graphcount):
        graph = buildgraph(rng)
        ancs = buildancestorsets(graph)
        gerrs = [0]
        for _ in xrange(testcount):
            # start from nullrev to include it as a possibility
            graphnodes = range(nullrev, len(graph))
            bases = samplerevs(graphnodes)

            # fast algorithm
            inc = ancestor.incrementalmissingancestors(graph.__getitem__, bases)
            # reference slow algorithm
            naiveinc = naiveincrementalmissingancestors(ancs, bases)
            seq = []
            for _ in xrange(inccount):
                if rng.random() < 0.2:
                    newbases = samplerevs(graphnodes)
                    seq.append(('addbases', newbases))
                    inc.addbases(newbases)
                    naiveinc.addbases(newbases)
                if rng.random() < 0.4:
                    # larger set so that there are more revs to remove from
                    revs = samplerevs(graphnodes, mu=1.5)
                    seq.append(('removeancestorsfrom', revs))
                    hrevs = set(revs)
                    rrevs = set(revs)
                    inc.removeancestorsfrom(hrevs)
                    naiveinc.removeancestorsfrom(rrevs)
                    if hrevs != rrevs:
                        err(seed, graph, bases, seq, sorted(hrevs),
                            sorted(rrevs))
                else:
                    revs = samplerevs(graphnodes)
                    seq.append(('missingancestors', revs))
                    h = inc.missingancestors(revs)
                    r = naiveinc.missingancestors(revs)
                    if h != r:
                        err(seed, graph, bases, seq, h, r)

# 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], 1: [0, -1], 2: [1, -1], 3: [1, -1], 4: [2, -1],
         5: [4, -1], 6: [4, -1], 7: [4, -1], 8: [-1, -1], 9: [6, 7],
         10: [5, -1], 11: [3, 7], 12: [9, -1], 13: [8, -1]}

def test_missingancestors_explicit():
    """A few explicit cases, easier to check for catching errors in refactors.

    The bigger graph at the end has been produced by the random generator
    above, and we have some evidence that the other tests don't cover it.
    """
    for i, (bases, revs) in enumerate((({1, 2, 3, 4, 7}, set(xrange(10))),
                                       ({10}, set({11, 12, 13, 14})),
                                       ({7}, set({1, 2, 3, 4, 5})),
                                       )):
        print("%% removeancestorsfrom(), example %d" % (i + 1))
        missanc = ancestor.incrementalmissingancestors(graph.get, bases)
        missanc.removeancestorsfrom(revs)
        print("remaining (sorted): %s" % sorted(list(revs)))

    for i, (bases, revs) in enumerate((({10}, {11}),
                                       ({11}, {10}),
                                       ({7}, {9, 11}),
                                       )):
        print("%% missingancestors(), example %d" % (i + 1))
        missanc = ancestor.incrementalmissingancestors(graph.get, bases)
        print("return %s" % missanc.missingancestors(revs))

    print("% removeancestorsfrom(), bigger graph")
    vecgraph = [
        [-1, -1], [0, -1], [1, 0], [2, 1], [3, -1], [4, -1], [5, 1],
        [2, -1], [7, -1], [8, -1], [9, -1], [10, 1], [3, -1], [12, -1],
        [13, -1], [14, -1], [4, -1], [16, -1], [17, -1], [18, -1],
        [19, 11], [20, -1], [21, -1], [22, -1], [23, -1], [2, -1],
        [3, -1], [26, 24], [27, -1], [28, -1], [12, -1], [1, -1], [1, 9],
        [32, -1], [33, -1], [34, 31], [35, -1], [36, 26], [37, -1],
        [38, -1], [39, -1], [40, -1], [41, -1], [42, 26], [0, -1],
        [44, -1], [45, 4], [40, -1], [47, -1], [36, 0], [49, -1],
        [-1, -1], [51, -1], [52, -1], [53, -1], [14, -1],
        [55, -1], [15, -1], [23, -1], [58, -1], [59, -1], [2, -1],
        [61, 59], [62, -1], [63, -1], [-1, -1], [65, -1],
        [66, -1], [67, -1], [68, -1], [37, 28], [69, 25],
        [71, -1], [72, -1], [50, 2], [74, -1], [12, -1],
        [18, -1], [77, -1], [78, -1], [79, -1], [43, 33],
        [81, -1], [82, -1], [83, -1], [84, 45], [85, -1],
        [86, -1], [-1, -1], [88, -1], [-1, -1], [76, 83], [44, -1],
        [92, -1], [93, -1], [9, -1], [95, 67], [96, -1], [97, -1],
        [-1, -1]]
    problem_rev = 28
    problem_base = 70
    # problem_rev is a parent of problem_base, but a faulty implementation
    # could forget to remove it.
    bases = {60, 26, 70, 3, 96, 19, 98, 49, 97, 47, 1, 6}
    if problem_rev not in vecgraph[problem_base] or problem_base not in bases:
        print("Conditions have changed")
    missanc = ancestor.incrementalmissingancestors(vecgraph.__getitem__, bases)
    revs = {4, 12, 41, 28, 68, 38, 1, 30, 56, 44}
    missanc.removeancestorsfrom(revs)
    if 28 in revs:
        print("Failed!")
    else:
        print("Ok")

def genlazyancestors(revs, stoprev=0, inclusive=False):
    print(("%% lazy ancestor set for %s, stoprev = %s, inclusive = %s" %
           (revs, stoprev, inclusive)))
    return ancestor.lazyancestors(graph.get, revs, stoprev=stoprev,
                                  inclusive=inclusive)

def printlazyancestors(s, l):
    print('membership: %r' % [n for n in l if n in s])
    print('iteration:  %r' % list(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])

    # Test with stoprev >= min(initrevs)
    s = genlazyancestors([11, 13], stoprev=11, inclusive=True)
    printlazyancestors(s, [11, 13, 7, 9, 8, 3, 6, 4, 1, -1, 0])
    s = genlazyancestors([11, 13], stoprev=12, inclusive=True)
    printlazyancestors(s, [11, 13, 7, 9, 8, 3, 6, 4, 1, -1, 0])

    # Contiguous chains: 5->4, 2->1 (where 1 is in seen set), 1->0
    s = genlazyancestors([10, 1], inclusive=True)
    printlazyancestors(s, [2, 10, 4, 5, -1, 0, 1])

# The C gca algorithm requires a real repo. These are textual descriptions of
# DAGs that have been known to be problematic, and, optionally, known pairs
# of revisions and their expected ancestor list.
dagtests = [
    (b'+2*2*2/*3/2', {}),
    (b'+3*3/*2*2/*4*4/*4/2*4/2*2', {}),
    (b'+2*2*/2*4*/4*/3*2/4', {(6, 7): [3, 5]}),
]
def test_gca():
    u = uimod.ui.load()
    for i, (dag, tests) in enumerate(dagtests):
        repo = hg.repository(u, b'gca%d' % i, create=1)
        cl = repo.changelog
        if not util.safehasattr(cl.index, 'ancestors'):
            # C version not available
            return

        debugcommands.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.
        # Also compare against expected results, if available.
        for a in cl:
            for b in cl:
                cgcas = sorted(cl.index.ancestors(a, b))
                pygcas = sorted(ancestor.ancestors(cl.parentrevs, a, b))
                expected = None
                if (a, b) in tests:
                    expected = tests[(a, b)]
                if cgcas != pygcas or (expected and cgcas != expected):
                    print("test_gca: for dag %s, gcas for %d, %d:"
                          % (dag, a, b))
                    print("  C returned:      %s" % cgcas)
                    print("  Python returned: %s" % pygcas)
                    if expected:
                        print("  expected:        %s" % expected)

def main():
    seed = None
    opts, args = getopt.getopt(sys.argv[1:], 's:', ['seed='])
    for o, a in opts:
        if o in ('-s', '--seed'):
            seed = long(a, base=0) # accepts base 10 or 16 strings

    if seed is None:
        try:
            seed = long(binascii.hexlify(os.urandom(16)), 16)
        except AttributeError:
            seed = long(time.time() * 1000)

    rng = random.Random(seed)
    test_missingancestors_explicit()
    test_missingancestors(seed, rng)
    test_lazyancestors()
    test_gca()

if __name__ == '__main__':
    main()