##// END OF EJS Templates
copytrace: add a a new config to limit the number of drafts in heuristics...
copytrace: add a a new config to limit the number of drafts in heuristics The heuristics options tries to the default full copytracing algorithm if both the source and destination branches contains of non-public changesets only. But this can be slow in cases when we have a lot of drafts. This patch adds a new config option experimental.copytrace.sourcecommitlimit which defaults to 100. This value will be the limit of number of drafts from c1 to base. Incase there are more changesets even though they are draft, the heuristics algorithm will be used. Differential Revision: https://phab.mercurial-scm.org/D763

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peer.py
96 lines | 3.0 KiB | text/x-python | PythonLexer
# peer.py - repository base classes for mercurial
#
# Copyright 2005, 2006 Matt Mackall <mpm@selenic.com>
# Copyright 2006 Vadim Gelfer <vadim.gelfer@gmail.com>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
from __future__ import absolute_import
from . import (
error,
util,
)
# abstract batching support
class future(object):
'''placeholder for a value to be set later'''
def set(self, value):
if util.safehasattr(self, 'value'):
raise error.RepoError("future is already set")
self.value = value
class batcher(object):
'''base class for batches of commands submittable in a single request
All methods invoked on instances of this class are simply queued and
return a a future for the result. Once you call submit(), all the queued
calls are performed and the results set in their respective futures.
'''
def __init__(self):
self.calls = []
def __getattr__(self, name):
def call(*args, **opts):
resref = future()
self.calls.append((name, args, opts, resref,))
return resref
return call
def submit(self):
raise NotImplementedError()
class iterbatcher(batcher):
def submit(self):
raise NotImplementedError()
def results(self):
raise NotImplementedError()
class localiterbatcher(iterbatcher):
def __init__(self, local):
super(iterbatcher, self).__init__()
self.local = local
def submit(self):
# submit for a local iter batcher is a noop
pass
def results(self):
for name, args, opts, resref in self.calls:
resref.set(getattr(self.local, name)(*args, **opts))
yield resref.value
def batchable(f):
'''annotation for batchable methods
Such methods must implement a coroutine as follows:
@batchable
def sample(self, one, two=None):
# Build list of encoded arguments suitable for your wire protocol:
encargs = [('one', encode(one),), ('two', encode(two),)]
# Create future for injection of encoded result:
encresref = future()
# Return encoded arguments and future:
yield encargs, encresref
# Assuming the future to be filled with the result from the batched
# request now. Decode it:
yield decode(encresref.value)
The decorator returns a function which wraps this coroutine as a plain
method, but adds the original method as an attribute called "batchable",
which is used by remotebatch to split the call into separate encoding and
decoding phases.
'''
def plain(*args, **opts):
batchable = f(*args, **opts)
encargsorres, encresref = next(batchable)
if not encresref:
return encargsorres # a local result in this case
self = args[0]
encresref.set(self._submitone(f.func_name, encargsorres))
return next(batchable)
setattr(plain, 'batchable', f)
return plain