Inzynierka_Gwiazdy/machine_learning/Lib/site-packages/sklearn/tests/test_config.py

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2023-09-20 19:46:58 +02:00
import time
from concurrent.futures import ThreadPoolExecutor
import pytest
from sklearn import get_config, set_config, config_context
from sklearn.utils.parallel import delayed, Parallel
def test_config_context():
assert get_config() == {
"assume_finite": False,
"working_memory": 1024,
"print_changed_only": True,
"display": "diagram",
"array_api_dispatch": False,
"pairwise_dist_chunk_size": 256,
"enable_cython_pairwise_dist": True,
"transform_output": "default",
}
# Not using as a context manager affects nothing
config_context(assume_finite=True)
assert get_config()["assume_finite"] is False
with config_context(assume_finite=True):
assert get_config() == {
"assume_finite": True,
"working_memory": 1024,
"print_changed_only": True,
"display": "diagram",
"array_api_dispatch": False,
"pairwise_dist_chunk_size": 256,
"enable_cython_pairwise_dist": True,
"transform_output": "default",
}
assert get_config()["assume_finite"] is False
with config_context(assume_finite=True):
with config_context(assume_finite=None):
assert get_config()["assume_finite"] is True
assert get_config()["assume_finite"] is True
with config_context(assume_finite=False):
assert get_config()["assume_finite"] is False
with config_context(assume_finite=None):
assert get_config()["assume_finite"] is False
# global setting will not be retained outside of context that
# did not modify this setting
set_config(assume_finite=True)
assert get_config()["assume_finite"] is True
assert get_config()["assume_finite"] is False
assert get_config()["assume_finite"] is True
assert get_config() == {
"assume_finite": False,
"working_memory": 1024,
"print_changed_only": True,
"display": "diagram",
"array_api_dispatch": False,
"pairwise_dist_chunk_size": 256,
"enable_cython_pairwise_dist": True,
"transform_output": "default",
}
# No positional arguments
with pytest.raises(TypeError):
config_context(True)
# No unknown arguments
with pytest.raises(TypeError):
config_context(do_something_else=True).__enter__()
def test_config_context_exception():
assert get_config()["assume_finite"] is False
try:
with config_context(assume_finite=True):
assert get_config()["assume_finite"] is True
raise ValueError()
except ValueError:
pass
assert get_config()["assume_finite"] is False
def test_set_config():
assert get_config()["assume_finite"] is False
set_config(assume_finite=None)
assert get_config()["assume_finite"] is False
set_config(assume_finite=True)
assert get_config()["assume_finite"] is True
set_config(assume_finite=None)
assert get_config()["assume_finite"] is True
set_config(assume_finite=False)
assert get_config()["assume_finite"] is False
# No unknown arguments
with pytest.raises(TypeError):
set_config(do_something_else=True)
def set_assume_finite(assume_finite, sleep_duration):
"""Return the value of assume_finite after waiting `sleep_duration`."""
with config_context(assume_finite=assume_finite):
time.sleep(sleep_duration)
return get_config()["assume_finite"]
@pytest.mark.parametrize("backend", ["loky", "multiprocessing", "threading"])
def test_config_threadsafe_joblib(backend):
"""Test that the global config is threadsafe with all joblib backends.
Two jobs are spawned and sets assume_finite to two different values.
When the job with a duration 0.1s completes, the assume_finite value
should be the same as the value passed to the function. In other words,
it is not influenced by the other job setting assume_finite to True.
"""
assume_finites = [False, True, False, True]
sleep_durations = [0.1, 0.2, 0.1, 0.2]
items = Parallel(backend=backend, n_jobs=2)(
delayed(set_assume_finite)(assume_finite, sleep_dur)
for assume_finite, sleep_dur in zip(assume_finites, sleep_durations)
)
assert items == [False, True, False, True]
def test_config_threadsafe():
"""Uses threads directly to test that the global config does not change
between threads. Same test as `test_config_threadsafe_joblib` but with
`ThreadPoolExecutor`."""
assume_finites = [False, True, False, True]
sleep_durations = [0.1, 0.2, 0.1, 0.2]
with ThreadPoolExecutor(max_workers=2) as e:
items = [
output
for output in e.map(set_assume_finite, assume_finites, sleep_durations)
]
assert items == [False, True, False, True]