99 lines
3.2 KiB
Python
99 lines
3.2 KiB
Python
import warnings
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import pytest
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import matplotlib
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from matplotlib import cbook
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from matplotlib.cbook import MatplotlibDeprecationWarning
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def pytest_configure(config):
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matplotlib.use('agg', force=True)
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matplotlib._called_from_pytest = True
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matplotlib._init_tests()
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def pytest_unconfigure(config):
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matplotlib._called_from_pytest = False
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@pytest.fixture(autouse=True)
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def mpl_test_settings(request):
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from matplotlib.testing.decorators import _cleanup_cm
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with _cleanup_cm():
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backend = None
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backend_marker = request.keywords.get('backend')
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if backend_marker is not None:
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assert len(backend_marker.args) == 1, \
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"Marker 'backend' must specify 1 backend."
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backend = backend_marker.args[0]
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prev_backend = matplotlib.get_backend()
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style = '_classic_test' # Default of cleanup and image_comparison too.
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style_marker = request.keywords.get('style')
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if style_marker is not None:
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assert len(style_marker.args) == 1, \
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"Marker 'style' must specify 1 style."
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style = style_marker.args[0]
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matplotlib.testing.setup()
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if backend is not None:
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# This import must come after setup() so it doesn't load the
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# default backend prematurely.
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import matplotlib.pyplot as plt
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plt.switch_backend(backend)
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with warnings.catch_warnings():
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warnings.simplefilter("ignore", MatplotlibDeprecationWarning)
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matplotlib.style.use(style)
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try:
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yield
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finally:
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if backend is not None:
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plt.switch_backend(prev_backend)
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@pytest.fixture
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def mpl_image_comparison_parameters(request, extension):
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# This fixture is applied automatically by the image_comparison decorator.
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#
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# The sole purpose of this fixture is to provide an indirect method of
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# obtaining parameters *without* modifying the decorated function
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# signature. In this way, the function signature can stay the same and
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# pytest won't get confused.
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# We annotate the decorated function with any parameters captured by this
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# fixture so that they can be used by the wrapper in image_comparison.
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baseline_images = request.keywords['baseline_images'].args[0]
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if baseline_images is None:
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# Allow baseline image list to be produced on the fly based on current
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# parametrization.
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baseline_images = request.getfixturevalue('baseline_images')
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func = request.function
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with cbook._setattr_cm(func.__wrapped__,
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parameters=(baseline_images, extension)):
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yield
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@pytest.fixture
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def pd():
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"""Fixture to import and configure pandas."""
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pd = pytest.importorskip('pandas')
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try:
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from pandas.plotting import (
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register_matplotlib_converters as register)
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except ImportError:
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from pandas.tseries.converter import register
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register()
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try:
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yield pd
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finally:
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try:
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from pandas.plotting import (
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deregister_matplotlib_converters as deregister)
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except ImportError:
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pass
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else:
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deregister()
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