mercurial/cmdutil.py

9925:9dfe34bf42c7

    ctx = repo['.']
    for r in removed:
        if r not in ctx:
            continue
        fctx = ctx.filectx(r)
        rr = fctx.data()
        for a in added:
            bestscore = copies.get(a, (None, threshold))[1]
            aa = repo.wread(a)
            # bdiff.blocks() returns blocks of matching lines
            # count the number of bytes in each
            equal = 0
            alines = mdiff.splitnewlines(aa)
            matches = bdiff.blocks(aa, rr)
            for x1,x2,y1,y2 in matches:
                for line in alines[x1:x2]:
                    equal += len(line)

            lengths = len(aa) + len(rr)
            if lengths:
                myscore = equal*2.0 / lengths
                if myscore >= bestscore:
                    copies[a] = (r, myscore)
    for dest, v in copies.iteritems():
        source, score = v
        yield source, dest, score

def addremove(repo, pats=[], opts={}, dry_run=None, similarity=None):

9926:4b044b81cb54

    ctx = repo['.']
    for r in removed:
        if r not in ctx:
            continue
        fctx = ctx.filectx(r)
        orig = fctx.data()

        def score(text):
            if not len(text):
                return 0.0
            # bdiff.blocks() returns blocks of matching lines
            # count the number of bytes in each
            equal = 0
            alines = mdiff.splitnewlines(text)
            matches = bdiff.blocks(text, orig)
            for x1,x2,y1,y2 in matches:
                for line in alines[x1:x2]:
                    equal += len(line)

            lengths = len(text) + len(orig)
            return equal*2.0 / lengths

        for a in added:
            bestscore = copies.get(a, (None, threshold))[1]
            myscore = score(repo.wread(a))
            if myscore >= bestscore:
                copies[a] = (r, myscore)
    for dest, v in copies.iteritems():
        source, score = v
        yield source, dest, score

def addremove(repo, pats=[], opts={}, dry_run=None, similarity=None):