demo + utils venv

utils/venv/lib/python3.6/site-packages/matplotlib/testing/conftest.py

@@ -0,0 +1,98 @@
+import warnings
+
+import pytest
+
+import matplotlib
+from matplotlib import cbook
+from matplotlib.cbook import MatplotlibDeprecationWarning
+
+
+def pytest_configure(config):
+    matplotlib.use('agg', force=True)
+    matplotlib._called_from_pytest = True
+    matplotlib._init_tests()
+
+
+def pytest_unconfigure(config):
+    matplotlib._called_from_pytest = False
+
+
+@pytest.fixture(autouse=True)
+def mpl_test_settings(request):
+    from matplotlib.testing.decorators import _cleanup_cm
+
+    with _cleanup_cm():
+
+        backend = None
+        backend_marker = request.keywords.get('backend')
+        if backend_marker is not None:
+            assert len(backend_marker.args) == 1, \
+                "Marker 'backend' must specify 1 backend."
+            backend = backend_marker.args[0]
+            prev_backend = matplotlib.get_backend()
+
+        style = '_classic_test'  # Default of cleanup and image_comparison too.
+        style_marker = request.keywords.get('style')
+        if style_marker is not None:
+            assert len(style_marker.args) == 1, \
+                "Marker 'style' must specify 1 style."
+            style = style_marker.args[0]
+
+        matplotlib.testing.setup()
+        if backend is not None:
+            # This import must come after setup() so it doesn't load the
+            # default backend prematurely.
+            import matplotlib.pyplot as plt
+            plt.switch_backend(backend)
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore", MatplotlibDeprecationWarning)
+            matplotlib.style.use(style)
+        try:
+            yield
+        finally:
+            if backend is not None:
+                plt.switch_backend(prev_backend)
+
+
+@pytest.fixture
+def mpl_image_comparison_parameters(request, extension):
+    # This fixture is applied automatically by the image_comparison decorator.
+    #
+    # The sole purpose of this fixture is to provide an indirect method of
+    # obtaining parameters *without* modifying the decorated function
+    # signature. In this way, the function signature can stay the same and
+    # pytest won't get confused.
+    # We annotate the decorated function with any parameters captured by this
+    # fixture so that they can be used by the wrapper in image_comparison.
+    baseline_images = request.keywords['baseline_images'].args[0]
+    if baseline_images is None:
+        # Allow baseline image list to be produced on the fly based on current
+        # parametrization.
+        baseline_images = request.getfixturevalue('baseline_images')
+
+    func = request.function
+    with cbook._setattr_cm(func.__wrapped__,
+                           parameters=(baseline_images, extension)):
+        yield
+
+
+@pytest.fixture
+def pd():
+    """Fixture to import and configure pandas."""
+    pd = pytest.importorskip('pandas')
+    try:
+        from pandas.plotting import (
+            register_matplotlib_converters as register)
+    except ImportError:
+        from pandas.tseries.converter import register
+    register()
+    try:
+        yield pd
+    finally:
+        try:
+            from pandas.plotting import (
+                deregister_matplotlib_converters as deregister)
+        except ImportError:
+            pass
+        else:
+            deregister()