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import builtins
import time
from concurrent.futures import ThreadPoolExecutor
import pytest
import sklearn
from sklearn import config_context, get_config, set_config
from sklearn.utils.fixes import _IS_WASM
from sklearn.utils.parallel import Parallel, delayed
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",
"enable_metadata_routing": False,
"skip_parameter_validation": False,
}
# 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",
"enable_metadata_routing": False,
"skip_parameter_validation": False,
}
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",
"enable_metadata_routing": False,
"skip_parameter_validation": False,
}
# 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]
@pytest.mark.xfail(_IS_WASM, reason="cannot start threads")
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]
def test_config_array_api_dispatch_error(monkeypatch):
"""Check error is raised when array_api_compat is not installed."""
# Hide array_api_compat import
orig_import = builtins.__import__
def mocked_import(name, *args, **kwargs):
if name == "array_api_compat":
raise ImportError
return orig_import(name, *args, **kwargs)
monkeypatch.setattr(builtins, "__import__", mocked_import)
with pytest.raises(ImportError, match="array_api_compat is required"):
with config_context(array_api_dispatch=True):
pass
with pytest.raises(ImportError, match="array_api_compat is required"):
set_config(array_api_dispatch=True)
def test_config_array_api_dispatch_error_numpy(monkeypatch):
"""Check error when NumPy is too old"""
# Pretend that array_api_compat is installed.
orig_import = builtins.__import__
def mocked_import(name, *args, **kwargs):
if name == "array_api_compat":
return object()
return orig_import(name, *args, **kwargs)
monkeypatch.setattr(builtins, "__import__", mocked_import)
monkeypatch.setattr(sklearn.utils._array_api.numpy, "__version__", "1.20")
with pytest.raises(ImportError, match="NumPy must be 1.21 or newer"):
with config_context(array_api_dispatch=True):
pass
with pytest.raises(ImportError, match="NumPy must be 1.21 or newer"):
set_config(array_api_dispatch=True)
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