##// END OF EJS Templates
perfbranchmap: allow to select the filter to benchmark...
perfbranchmap: allow to select the filter to benchmark Running the branchmap computation on all filter levels can be expensive. Narrowing the run to some specific filters can speed up benchmarking time when working only on a subset of filter levels.

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peer.py
100 lines | 3.2 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,
pycompat,
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()
# Please don't invent non-ascii method names, or you will
# give core hg a very sad time.
self.calls.append((name.encode('ascii'), 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]
cmd = pycompat.bytesurl(f.__name__) # ensure cmd is ascii bytestr
encresref.set(self._submitone(cmd, encargsorres))
return next(batchable)
setattr(plain, 'batchable', f)
return plain