# pvec.py - probabilistic vector clocks for Mercurial

#

# Copyright 2012 Olivia Mackall <olivia@selenic.com>

#

# This software may be used and distributed according to the terms of the

# GNU General Public License version 2 or any later version.

'''

A "pvec" is a changeset property based on the theory of vector clocks

that can be compared to discover relatedness without consulting a

graph. This can be useful for tasks like determining how a

disconnected patch relates to a repository.

Currently a pvec consist of 448 bits, of which 24 are 'depth' and the

remainder are a bit vector. It is represented as a 70-character base85

string.

Construction:

- a root changeset has a depth of 0 and a bit vector based on its hash

- a normal commit has a changeset where depth is increased by one and

  one bit vector bit is flipped based on its hash

- a merge changeset pvec is constructed by copying changes from one pvec into

  the other to balance its depth

Properties:

- for linear changes, difference in depth is always <= hamming distance

- otherwise, changes are probably divergent

- when hamming distance is < 200, we can reliably detect when pvecs are near

Issues:

- hamming distance ceases to work over distances of ~ 200

- detecting divergence is less accurate when the common ancestor is very close

  to either revision or total distance is high

- this could probably be improved by modeling the relation between

  delta and hdist

Uses:

- a patch pvec can be used to locate the nearest available common ancestor for

  resolving conflicts

- ordering of patches can be established without a DAG

- two head pvecs can be compared to determine whether push/pull/merge is needed

  and approximately how many changesets are involved

- can be used to find a heuristic divergence measure between changesets on

  different branches

'''

from __future__ import absolute_import

from .node import nullrev

from . import (

    pycompat,

    util,

)

_size = 448  # 70 chars b85-encoded

_bytes = _size // 8

_depthbits = 24

_depthbytes = _depthbits // 8

_vecbytes = _bytes - _depthbytes

_vecbits = _vecbytes * 8

_radius = (_vecbits - 30) // 2  # high probability vectors are related

def _bin(bs):

    '''convert a bytestring to a long'''

    v = 0

    for b in bs:

        v = v * 256 + ord(b)

    return v

def _str(v, l):

    # type: (int, int) -> bytes

    bs = b""

    for p in pycompat.xrange(l):

        bs = pycompat.bytechr(v & 255) + bs

        v >>= 8

    return bs

def _split(b):

    '''depth and bitvec'''

    return _bin(b[:_depthbytes]), _bin(b[_depthbytes:])

def _join(depth, bitvec):

    return _str(depth, _depthbytes) + _str(bitvec, _vecbytes)

def _hweight(x):

    c = 0

    while x:

        if x & 1:

            c += 1

        x >>= 1

    return c

_htab = [_hweight(x) for x in pycompat.xrange(256)]

def _hamming(a, b):

    '''find the hamming distance between two longs'''

    d = a ^ b

    c = 0

    while d:

        c += _htab[d & 0xFF]

        d >>= 8

    return c

def _mergevec(x, y, c):

    # Ideally, this function would be x ^ y ^ ancestor, but finding

    # ancestors is a nuisance. So instead we find the minimal number

    # of changes to balance the depth and hamming distance

    d1, v1 = x

    d2, v2 = y

    if d1 < d2:

        d1, d2, v1, v2 = d2, d1, v2, v1

    hdist = _hamming(v1, v2)

    ddist = d1 - d2

    v = v1

    m = v1 ^ v2  # mask of different bits

    i = 1

    if hdist > ddist:

        # if delta = 10 and hdist = 100, then we need to go up 55 steps

        # to the ancestor and down 45

        changes = (hdist - ddist + 1) // 2

    else:

        # must make at least one change

        changes = 1

    depth = d1 + changes

    # copy changes from v2

    if m:

        while changes:

            if m & i:

                v ^= i

                changes -= 1

            i <<= 1

    else:

        v = _flipbit(v, c)

    return depth, v

def _flipbit(v, node):

    # converting bit strings to longs is slow

    bit = (hash(node) & 0xFFFFFFFF) % _vecbits

    return v ^ (1 << bit)

def ctxpvec(ctx):

    '''construct a pvec for ctx while filling in the cache'''

    r = ctx.repo()

    if not util.safehasattr(r, "_pveccache"):

        r._pveccache = {}

    pvc = r._pveccache

    if ctx.rev() not in pvc:

        cl = r.changelog

        for n in pycompat.xrange(ctx.rev() + 1):

            if n not in pvc:

                node = cl.node(n)

                p1, p2 = cl.parentrevs(n)

                if p1 == nullrev:

                    # start with a 'random' vector at root

                    pvc[n] = (0, _bin((node * 3)[:_vecbytes]))

                elif p2 == nullrev:

                    d, v = pvc[p1]

                    pvc[n] = (d + 1, _flipbit(v, node))

                else:

                    pvc[n] = _mergevec(pvc[p1], pvc[p2], node)

    bs = _join(*pvc[ctx.rev()])

    return pvec(util.b85encode(bs))

class pvec(object):

    def __init__(self, hashorctx):

        if isinstance(hashorctx, bytes):

            self._bs = hashorctx

            self._depth, self._vec = _split(util.b85decode(hashorctx))

        else:

            self._vec = ctxpvec(hashorctx)

    def __str__(self):

        return self._bs

    def __eq__(self, b):

        return self._vec == b._vec and self._depth == b._depth

    def __lt__(self, b):

        delta = b._depth - self._depth

        if delta < 0:

            return False  # always correct

        if _hamming(self._vec, b._vec) > delta:

            return False

        return True

    def __gt__(self, b):

        return b < self

    def __or__(self, b):

        delta = abs(b._depth - self._depth)

        if _hamming(self._vec, b._vec) <= delta:

            return False

        return True

    def __sub__(self, b):

        if self | b:

            raise ValueError(b"concurrent pvecs")

        return self._depth - b._depth

    def distance(self, b):

        d = abs(b._depth - self._depth)

        h = _hamming(self._vec, b._vec)

        return max(d, h)

    def near(self, b):

        dist = abs(b.depth - self._depth)

        if dist > _radius or _hamming(self._vec, b._vec) > _radius:

            return False