| import time |
| #import numpy |
| from lldbtest import * |
| |
| class Stopwatch(object): |
| """Stopwatch provides a simple utility to start/stop your stopwatch multiple |
| times. Each start/stop is equal to a lap, with its elapsed time accumulated |
| while measurment is in progress. |
| |
| When you're ready to start from scratch for another round of measurements, |
| be sure to call the reset() method. |
| |
| For example, |
| |
| sw = Stopwatch() |
| for i in range(1000): |
| with sw: |
| # Do some length operations... |
| ... |
| # Get the average time. |
| avg_time = sw.avg() |
| |
| # Reset the stopwatch as we are about to perform other kind of operations. |
| sw.reset() |
| ... |
| """ |
| |
| ############################################################# |
| # |
| # Context manager interfaces to support the 'with' statement. |
| # |
| ############################################################# |
| |
| def __enter__(self): |
| """ |
| Context management protocol on entry to the body of the with statement. |
| """ |
| return self.start() |
| |
| def __exit__(self, type, value, tb): |
| """ |
| Context management protocol on exit from the body of the with statement. |
| """ |
| self.stop() |
| |
| def reset(self): |
| self.__laps__ = 0 |
| self.__total_elapsed__ = 0.0 |
| self.__start__ = None |
| self.__stop__ = None |
| self.__elapsed__ = 0.0 |
| self.__nums__ = [] |
| |
| def __init__(self): |
| self.reset() |
| |
| def start(self): |
| if self.__start__ is None: |
| self.__start__ = time.time() |
| else: |
| raise Exception("start() already called, did you forget to stop() first?") |
| # Return self to facilitate the context manager __enter__ protocol. |
| return self |
| |
| def stop(self): |
| if self.__start__ is not None: |
| self.__stop__ = time.time() |
| elapsed = self.__stop__ - self.__start__ |
| self.__total_elapsed__ += elapsed |
| self.__laps__ += 1 |
| self.__nums__.append(elapsed) |
| self.__start__ = None # Reset __start__ to be None again. |
| else: |
| raise Exception("stop() called without first start()?") |
| |
| def laps(self): |
| """Gets the number of laps. One lap is equal to a start/stop action.""" |
| return self.__laps__ |
| |
| def avg(self): |
| """Equal to total elapsed time divided by the number of laps.""" |
| return self.__total_elapsed__ / self.__laps__ |
| |
| #def sigma(self): |
| # """Return the standard deviation of the available samples.""" |
| # if self.__laps__ <= 0: |
| # return None |
| # return numpy.std(self.__nums__) |
| |
| def __str__(self): |
| return "Avg: %f (Laps: %d, Total Elapsed Time: %f, min=%f, max=%f)" % (self.avg(), |
| self.__laps__, |
| self.__total_elapsed__, |
| min(self.__nums__), |
| max(self.__nums__)) |
| |
| class BenchBase(TestBase): |
| """ |
| Abstract base class for benchmark tests. |
| """ |
| def setUp(self): |
| """Fixture for unittest test case setup.""" |
| super(BenchBase, self).setUp() |
| #TestBase.setUp(self) |
| self.stopwatch = Stopwatch() |
| |
| def tearDown(self): |
| """Fixture for unittest test case teardown.""" |
| super(BenchBase, self).tearDown() |
| #TestBase.tearDown(self) |
| del self.stopwatch |
| |