| # Copyright 2012 the V8 project authors. All rights reserved. | |
| # Redistribution and use in source and binary forms, with or without | |
| # modification, are permitted provided that the following conditions are | |
| # met: | |
| # | |
| # * Redistributions of source code must retain the above copyright | |
| # notice, this list of conditions and the following disclaimer. | |
| # * Redistributions in binary form must reproduce the above | |
| # copyright notice, this list of conditions and the following | |
| # disclaimer in the documentation and/or other materials provided | |
| # with the distribution. | |
| # * Neither the name of Google Inc. nor the names of its | |
| # contributors may be used to endorse or promote products derived | |
| # from this software without specific prior written permission. | |
| # | |
| # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | |
| # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | |
| # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR | |
| # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT | |
| # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, | |
| # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT | |
| # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, | |
| # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY | |
| # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | |
| # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | |
| # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
| import os | |
| import shelve | |
| import threading | |
| class PerfDataEntry(object): | |
| def __init__(self): | |
| self.avg = 0.0 | |
| self.count = 0 | |
| def AddResult(self, result): | |
| kLearnRateLimiter = 99 # Greater value means slower learning. | |
| # We use an approximation of the average of the last 100 results here: | |
| # The existing average is weighted with kLearnRateLimiter (or less | |
| # if there are fewer data points). | |
| effective_count = min(self.count, kLearnRateLimiter) | |
| self.avg = self.avg * effective_count + result | |
| self.count = effective_count + 1 | |
| self.avg /= self.count | |
| class PerfDataStore(object): | |
| def __init__(self, datadir, arch, mode): | |
| filename = os.path.join(datadir, "%s.%s.perfdata" % (arch, mode)) | |
| self.database = shelve.open(filename, protocol=2) | |
| self.closed = False | |
| self.lock = threading.Lock() | |
| def __del__(self): | |
| self.close() | |
| def close(self): | |
| if self.closed: return | |
| self.database.close() | |
| self.closed = True | |
| def FetchPerfData(self, test): | |
| """Returns the observed duration for |test| as read from the store.""" | |
| key = test.get_id() | |
| if key in self.database: | |
| return self.database[key].avg | |
| return None | |
| def UpdatePerfData(self, test, duration): | |
| """Updates the persisted value in the store with duration.""" | |
| testkey = test.get_id() | |
| self.RawUpdatePerfData(testkey, duration) | |
| def RawUpdatePerfData(self, testkey, duration): | |
| with self.lock: | |
| if testkey in self.database: | |
| entry = self.database[testkey] | |
| else: | |
| entry = PerfDataEntry() | |
| entry.AddResult(duration) | |
| self.database[testkey] = entry | |
| class PerfDataManager(object): | |
| def __init__(self, datadir): | |
| self.datadir = os.path.abspath(datadir) | |
| if not os.path.exists(self.datadir): | |
| os.makedirs(self.datadir) | |
| self.stores = {} # Keyed by arch, then mode. | |
| self.closed = False | |
| self.lock = threading.Lock() | |
| def __del__(self): | |
| self.close() | |
| def close(self): | |
| if self.closed: return | |
| for arch in self.stores: | |
| modes = self.stores[arch] | |
| for mode in modes: | |
| store = modes[mode] | |
| store.close() | |
| self.closed = True | |
| def GetStore(self, arch, mode): | |
| with self.lock: | |
| if not arch in self.stores: | |
| self.stores[arch] = {} | |
| modes = self.stores[arch] | |
| if not mode in modes: | |
| modes[mode] = PerfDataStore(self.datadir, arch, mode) | |
| return modes[mode] | |
| class NullPerfDataStore(object): | |
| def UpdatePerfData(self, test, duration): | |
| pass | |
| def FetchPerfData(self, test): | |
| return None | |
| class NullPerfDataManager(object): | |
| def __init__(self): | |
| pass | |
| def GetStore(self, *args, **kwargs): | |
| return NullPerfDataStore() | |
| def close(self): | |
| pass | |
| def GetPerfDataManager(context, datadir): | |
| if context.use_perf_data: | |
| return PerfDataManager(datadir) | |
| else: | |
| return NullPerfDataManager() |