mercurial/revset.py

29928:e5a97ec6ebb8

    return getset(repo, getset(repo, subset, x), y)

def differenceset(repo, subset, x, y):
    return getset(repo, subset, x) - getset(repo, subset, y)

def orset(repo, subset, *xs):
    assert xs
    if len(xs) == 1:
        return getset(repo, subset, xs[0])
    p = len(xs) // 2
    a = orset(repo, subset, *xs[:p])
    b = orset(repo, subset, *xs[p:])
    return a + b

def notset(repo, subset, x):
    return subset - getset(repo, subset, x)

def listset(repo, subset, *xs):

            return _fixops(('dagrange', post, x[2][1]))
        elif x[2][0] == 'rangepre':
            return _fixops(('range', post, x[2][1]))
        elif x[2][0] == 'rangeall':
            return _fixops(('rangepost', post))

    return (op,) + tuple(_fixops(y) for y in x[1:])

def _analyze(x):
    if x is None:

    elif op == 'and':
        ta = _analyze(x[1])
        tb = _analyze(x[2])
        return (op, ta, tb)
    elif op == 'or':
        return (op,) + tuple(_analyze(y) for y in x[1:])
    elif op == 'not':
        return (op, _analyze(x[1]))
    elif op == 'parentpost':
        return (op, _analyze(x[1]))
    elif op == 'group':

                y = ('func', ('symbol', '_list'), ('string', s))
                w, t = _optimize(y, False)
            ws.append(w)
            ts.append(t)
            del ss[:]
        for y in x[1:]:
            w, t = _optimize(y, False)
            if t is not None and (t[0] == 'string' or t[0] == 'symbol'):
                ss.append((w, t))
                continue
            flushss()

        if len(ts) == 1:
            return ws[0], ts[0] # 'or' operation is fully optimized out
        # we can't reorder trees by weight because it would change the order.
        # ("sort(a + b)" == "sort(b + a)", but "a + b" != "b + a")
        #   ts = tuple(t for w, t in sorted(zip(ws, ts), key=lambda wt: wt[0]))
        return max(ws), (op,) + tuple(ts)
    elif op == 'not':
        # Optimize not public() to _notpublic() because we have a fast version
        if x[1] == ('func', ('symbol', 'public'), None):
            newsym = ('func', ('symbol', '_notpublic'), None)
            o = _optimize(newsym, not small)

    if repo:
        lookup = repo.__contains__
    if len(specs) == 1:
        tree = parse(specs[0], lookup)
    else:
        tree = ('or',) + tuple(parse(s, lookup) for s in specs)

    if ui:
        tree = expandaliases(ui, tree)
    tree = foldconcat(tree)
    tree = analyze(tree)

29929:b3845cab4ddc

    return getset(repo, getset(repo, subset, x), y)

def differenceset(repo, subset, x, y):
    return getset(repo, subset, x) - getset(repo, subset, y)

def _orsetlist(repo, subset, xs):
    assert xs
    if len(xs) == 1:
        return getset(repo, subset, xs[0])
    p = len(xs) // 2
    a = _orsetlist(repo, subset, xs[:p])
    b = _orsetlist(repo, subset, xs[p:])
    return a + b

def orset(repo, subset, x):
    return _orsetlist(repo, subset, getlist(x))

def notset(repo, subset, x):
    return subset - getset(repo, subset, x)

def listset(repo, subset, *xs):

            return _fixops(('dagrange', post, x[2][1]))
        elif x[2][0] == 'rangepre':
            return _fixops(('range', post, x[2][1]))
        elif x[2][0] == 'rangeall':
            return _fixops(('rangepost', post))
    elif op == 'or':
        # make number of arguments deterministic:
        # x + y + z -> (or x y z) -> (or (list x y z))
        return (op, _fixops(('list',) + x[1:]))

    return (op,) + tuple(_fixops(y) for y in x[1:])

def _analyze(x):
    if x is None:

    elif op == 'and':
        ta = _analyze(x[1])
        tb = _analyze(x[2])
        return (op, ta, tb)
    elif op == 'or':
        return (op, _analyze(x[1]))
    elif op == 'not':
        return (op, _analyze(x[1]))
    elif op == 'parentpost':
        return (op, _analyze(x[1]))
    elif op == 'group':

                y = ('func', ('symbol', '_list'), ('string', s))
                w, t = _optimize(y, False)
            ws.append(w)
            ts.append(t)
            del ss[:]
        for y in getlist(x[1]):
            w, t = _optimize(y, False)
            if t is not None and (t[0] == 'string' or t[0] == 'symbol'):
                ss.append((w, t))
                continue
            flushss()

        if len(ts) == 1:
            return ws[0], ts[0] # 'or' operation is fully optimized out
        # we can't reorder trees by weight because it would change the order.
        # ("sort(a + b)" == "sort(b + a)", but "a + b" != "b + a")
        #   ts = tuple(t for w, t in sorted(zip(ws, ts), key=lambda wt: wt[0]))
        return max(ws), (op, ('list',) + tuple(ts))
    elif op == 'not':
        # Optimize not public() to _notpublic() because we have a fast version
        if x[1] == ('func', ('symbol', 'public'), None):
            newsym = ('func', ('symbol', '_notpublic'), None)
            o = _optimize(newsym, not small)

    if repo:
        lookup = repo.__contains__
    if len(specs) == 1:
        tree = parse(specs[0], lookup)
    else:
        tree = ('or', ('list',) + tuple(parse(s, lookup) for s in specs))

    if ui:
        tree = expandaliases(ui, tree)
    tree = foldconcat(tree)
    tree = analyze(tree)