AIM-PIbd-32-Kurbanova-A-A/aimenv/Lib/site-packages/statsmodels/conftest.py
2024-10-02 22:15:59 +04:00

144 lines
3.8 KiB
Python

import logging
import os
import numpy as np
import pandas as pd
import pytest
try:
import matplotlib
matplotlib.use('agg')
HAVE_MATPLOTLIB = True
except ImportError:
HAVE_MATPLOTLIB = False
logger = logging.getLogger(__name__)
cow = False
try:
cow = bool(os.environ.get("SM_TEST_COPY_ON_WRITE", False))
pd.options.mode.copy_on_write = cow
except AttributeError:
pass
if cow:
logger.critical("Copy on Write Enabled!")
else:
logger.critical("Copy on Write disabled")
def pytest_addoption(parser):
parser.addoption("--skip-slow", action="store_true",
help="skip slow tests")
parser.addoption("--only-slow", action="store_true",
help="run only slow tests")
parser.addoption("--skip-examples", action="store_true",
help="skip tests of examples")
parser.addoption("--skip-matplotlib", action="store_true",
help="skip tests that depend on matplotlib")
parser.addoption("--skip-smoke", action="store_true",
help="skip smoke tests")
parser.addoption("--only-smoke", action="store_true",
help="run only smoke tests")
def pytest_runtest_setup(item):
if 'slow' in item.keywords and item.config.getoption("--skip-slow"):
pytest.skip("skipping due to --skip-slow")
if 'slow' not in item.keywords and item.config.getoption("--only-slow"):
pytest.skip("skipping due to --only-slow")
if 'example' in item.keywords and item.config.getoption("--skip-examples"):
pytest.skip("skipping due to --skip-examples")
if 'matplotlib' in item.keywords and \
item.config.getoption("--skip-matplotlib"):
pytest.skip("skipping due to --skip-matplotlib")
if 'matplotlib' in item.keywords and not HAVE_MATPLOTLIB:
pytest.skip("skipping since matplotlib is not intalled")
if 'smoke' in item.keywords and item.config.getoption("--skip-smoke"):
pytest.skip("skipping due to --skip-smoke")
if 'smoke' not in item.keywords and item.config.getoption('--only-smoke'):
pytest.skip("skipping due to --only-smoke")
def pytest_configure(config):
try:
import matplotlib
matplotlib.use('agg')
try:
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
except ImportError:
pass
except ImportError:
pass
@pytest.fixture()
def close_figures():
"""
Fixture that closes all figures after a test function has completed
Returns
-------
closer : callable
Function that will close all figures when called.
Notes
-----
Used by passing as an argument to the function that produces a plot,
for example
def test_some_plot(close_figures):
<test code>
If a function creates many figures, then these can be destroyed within a
test function by calling close_figures to ensure that the number of
figures does not become too large.
def test_many_plots(close_figures):
for i in range(100000):
plt.plot(x,y)
close_figures()
"""
try:
import matplotlib.pyplot
def close():
matplotlib.pyplot.close('all')
except ImportError:
def close():
pass
yield close
close()
@pytest.fixture()
def reset_randomstate():
"""
Fixture that set the global RandomState to the fixed seed 1
Notes
-----
Used by passing as an argument to the function that uses the global
RandomState
def test_some_plot(reset_randomstate):
<test code>
Returns the state after the test function exits
"""
state = np.random.get_state()
np.random.seed(1)
yield
np.random.set_state(state)