upgraderepo: add a config option for parallel computation
The option is put to use to compute new copy tracing side data in parallel. It
use the multiprocessing module as it had the appropriate primitive for what we
needed. Gregory Szorc had concerned on windows so we disabled it there.
See inline comment for details on the parallel implementation.
from __future__ import absolute_import, print_function
import unittest
class TestResult(unittest._TextTestResult):
def __init__(self, options, *args, **kwargs):
super(TestResult, self).__init__(*args, **kwargs)
self._options = options
# unittest.TestResult didn't have skipped until 2.7. We need to
# polyfill it.
self.skipped = []
# We have a custom "ignored" result that isn't present in any Python
# unittest implementation. It is very similar to skipped. It may make
# sense to map it into skip some day.
self.ignored = []
self.times = []
self._firststarttime = None
# Data stored for the benefit of generating xunit reports.
self.successes = []
self.faildata = {}
def addFailure(self, test, reason):
print("FAILURE!", test, reason)
def addSuccess(self, test):
print("SUCCESS!", test)
def addError(self, test, err):
print("ERR!", test, err)
# Polyfill.
def addSkip(self, test, reason):
print("SKIP!", test, reason)
def addIgnore(self, test, reason):
print("IGNORE!", test, reason)
def onStart(self, test):
print("ON_START!", test)
def onEnd(self):
print("ON_END!")
def addOutputMismatch(self, test, ret, got, expected):
return False
def stopTest(self, test, interrupted=False):
super(TestResult, self).stopTest(test)