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Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍 https://github.com/madlabunimib/PyCTBN
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PyCTBN/venv/lib/python3.9/site-packages/scipy/interpolate/tests/test_gil.py

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import itertools
import threading
import time
import numpy as np
from numpy.testing import assert_equal
import pytest
import scipy.interpolate
class TestGIL(object):
"""Check if the GIL is properly released by scipy.interpolate functions."""
def setup_method(self):
self.messages = []
def log(self, message):
self.messages.append(message)
def make_worker_thread(self, target, args):
log = self.log
class WorkerThread(threading.Thread):
def run(self):
log('interpolation started')
target(*args)
log('interpolation complete')
return WorkerThread()
@pytest.mark.slow
@pytest.mark.xfail(reason='race conditions, may depend on system load')
def test_rectbivariatespline(self):
def generate_params(n_points):
x = y = np.linspace(0, 1000, n_points)
x_grid, y_grid = np.meshgrid(x, y)
z = x_grid * y_grid
return x, y, z
def calibrate_delay(requested_time):
for n_points in itertools.count(5000, 1000):
args = generate_params(n_points)
time_started = time.time()
interpolate(*args)
if time.time() - time_started > requested_time:
return args
def interpolate(x, y, z):
scipy.interpolate.RectBivariateSpline(x, y, z)
args = calibrate_delay(requested_time=3)
worker_thread = self.make_worker_thread(interpolate, args)
worker_thread.start()
for i in range(3):
time.sleep(0.5)
self.log('working')
worker_thread.join()
assert_equal(self.messages, [
'interpolation started',
'working',
'working',
'working',
'interpolation complete',
])