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speed_check.py
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speed_check.py
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"""oct2py speed check."""
# Copyright (c) oct2py developers.
# Distributed under the terms of the MIT License.
import time
import timeit
import numpy as np
from . import Oct2Py, get_log
class SpeedCheck:
"""Checks the speed penalty of the Python to Octave bridge.
Uses timeit to test the raw execution of a Octave command,
Then tests progressively larger array passing.
"""
def __init__(self):
"""Create our Octave instance and initialize the data array"""
self.octave = Oct2Py()
self.array = []
def raw_speed(self):
"""Run a fast Octave command and see how long it takes."""
self.octave.eval("x = 1")
def large_array_put(self):
"""Create a large matrix and load it into the octave session."""
self.octave.push("x", self.array)
def large_array_get(self):
"""Retrieve the large matrix from the octave session"""
self.octave.pull("x")
def run(self):
"""Perform the Oct2Py speed analysis.
Uses timeit to test the raw execution of an Octave command,
Then tests progressively larger array passing.
"""
log = get_log()
log.info("Oct2Py speed test")
log.info("*" * 20)
time.sleep(1)
log.info("Raw speed: ")
avg = timeit.timeit(self.raw_speed, number=10) / 10
log.info(f" {avg * 1e6:0.01f} usec per loop")
sides = [1, 10, 100, 1000]
runs = [10, 10, 10, 5]
for side, nruns in zip(sides, runs):
self.array = np.reshape(np.arange(side**2), (-1)) # type:ignore[assignment]
log.info(f"Put {side}x{side}: ")
avg = timeit.timeit(self.large_array_put, number=nruns) / nruns
log.info(f" {avg * 1e3:0.01f} msec")
log.info(f"Get {side}x{side}: ")
avg = timeit.timeit(self.large_array_get, number=nruns) / nruns
log.info(f" {avg * 1e3:0.01f} msec")
self.octave.exit()
log.info("*" * 20)
log.info("Test complete!")
def speed_check():
"""Checks the speed penalty of the Python to Octave bridge.
Uses timeit to test the raw execution of a Octave command,
Then tests progressively larger array passing.
"""
test = SpeedCheck()
test.run()
if __name__ == "__main__":
speed_check()