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