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# python3
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Main driver for benchmarks."""
import copy
import statistics
import threading
import types
from benchmarks import suites
from benchmarks.harness.machine_producers import machine_producer
# pylint: disable=too-many-instance-attributes
class BenchmarkDriver:
"""Allocates machines and invokes a benchmark method."""
def __init__(self,
producer: machine_producer.MachineProducer,
method: types.FunctionType,
runs: int = 1,
**kwargs):
self._producer = producer
self._method = method
self._kwargs = copy.deepcopy(kwargs)
self._threads = []
self.lock = threading.RLock()
self._runs = runs
self._metric_results = {}
def start(self):
"""Starts a benchmark thread."""
for _ in range(self._runs):
thread = threading.Thread(target=self._run_method)
thread.start()
self._threads.append(thread)
def join(self):
"""Joins the thread."""
# pylint: disable=expression-not-assigned
[t.join() for t in self._threads]
def _run_method(self):
"""Runs all benchmarks."""
machines = self._producer.get_machines(
suites.benchmark_machines(self._method))
try:
result = self._method(*machines, **self._kwargs)
for name, res in result:
with self.lock:
if name in self._metric_results:
self._metric_results[name].append(res)
else:
self._metric_results[name] = [res]
finally:
# Always release.
self._producer.release_machines(machines)
def median(self):
"""Returns the median result, after join is finished."""
for key, value in self._metric_results.items():
yield key, [statistics.median(value)]
def all(self):
"""Returns all results."""
for key, value in self._metric_results.items():
yield key, value
def meanstd(self):
"""Returns all results."""
for key, value in self._metric_results.items():
mean = statistics.mean(value)
yield key, [mean, statistics.stdev(value, xbar=mean)]
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