diff --git a/.github/workflows/test_and_deploy.yml b/.github/workflows/test_and_deploy.yml index df170bdf..8665e1d2 100644 --- a/.github/workflows/test_and_deploy.yml +++ b/.github/workflows/test_and_deploy.yml @@ -20,7 +20,7 @@ jobs: fail-fast: false matrix: platform: [ubuntu-latest, macos-latest, windows-latest] - python-version: ['3.8', '3.9', '3.10'] + python-version: ['3.9', '3.10', '3.11'] steps: - uses: actions/checkout@v3 diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index b78e43e1..8483e70c 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,13 +1,13 @@ repos: - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v4.4.0 + rev: v4.5.0 hooks: - id: check-docstring-first - id: end-of-file-fixer - id: trailing-whitespace - repo: https://github.com/psf/black - rev: 23.7.0 + rev: 23.10.1 hooks: - id: black @@ -17,14 +17,14 @@ repos: - id: napari-plugin-checks - repo: https://github.com/pre-commit/mirrors-mypy - rev: v1.5.1 + rev: v1.6.1 hooks: - id: mypy additional_dependencies: [numpy, matplotlib] - repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version. - rev: 'v0.0.285' + rev: 'v0.1.3' hooks: - id: ruff diff --git a/README.md b/README.md index 855c4991..e4551d23 100644 --- a/README.md +++ b/README.md @@ -15,32 +15,7 @@ A plugin to create Matplotlib plots from napari layers ## Introduction `napari-matplotlib` is a bridge between `napari` and `matplotlib`, making it easy to create publication quality `Matplotlib` plots based on the data loaded in `napari` layers. -## Available widgets - -### `Slice` -Plots 1D slices of data along a specified axis. -![](https://raw.githubusercontent.com/matplotlib/napari-matplotlib/main/examples/slice.png) - -### `Histogram` -Plots histograms of individual image layers, or RGB histograms of an RGB image -![](https://raw.githubusercontent.com/matplotlib/napari-matplotlib/main/examples/hist.png) - -### `Scatter` -Scatters the values of two similarly sized images layers against each other. -![](https://raw.githubusercontent.com/matplotlib/napari-matplotlib/main/examples/scatter.png) - -## Installation - -You can install `napari-matplotlib` via [pip]: - - pip install napari-matplotlib - - - -To install latest development version : - - pip install git+https://github.com/matplotlib/napari-matplotlib.git - +Documentaiton can be found at https://napari-matplotlib.github.io/ ## Contributing diff --git a/baseline/test_feature_histogram2.png b/baseline/test_feature_histogram2.png deleted file mode 100644 index b7bb19e0..00000000 Binary files a/baseline/test_feature_histogram2.png and /dev/null differ diff --git a/docs/changelog.rst b/docs/changelog.rst index 6f77e0c3..45952311 100644 --- a/docs/changelog.rst +++ b/docs/changelog.rst @@ -1,5 +1,13 @@ Changelog ========= +1.2.0 +----- +Changes +~~~~~~~ +- Dropped support for Python 3.8, and added support for Python 3.11. +- Histogram plots of points and vector layers are now coloured with their napari colourmap. +- Added support for Matplotlib 3.8 + 1.1.0 ----- Additions diff --git a/pyproject.toml b/pyproject.toml index 7c7dbbdd..705b4655 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,7 +23,7 @@ profile = "black" line_length = 79 [tool.ruff] -target-version = "py38" +target-version = "py39" select = ["I", "UP", "F", "E", "W", "D"] ignore = [ "D100", # Missing docstring in public module @@ -45,7 +45,7 @@ fix = true convention = "numpy" [tool.mypy] -python_version = "3.8" +python_version = "3.9" # Block below are checks that form part of mypy 'strict' mode warn_unused_configs = true warn_redundant_casts = true diff --git a/setup.cfg b/setup.cfg index e1fc9e73..f308412c 100644 --- a/setup.cfg +++ b/setup.cfg @@ -9,7 +9,7 @@ author_email = d.stansby@ucl.ac.uk license = BSD-3-Clause license_files = LICENSE classifiers = - Development Status :: 3 - Alpha + Development Status :: 5 - Production/Stable Framework :: napari Intended Audience :: Developers License :: OSI Approved :: BSD License @@ -31,7 +31,7 @@ install_requires = napari numpy tinycss2 -python_requires = >=3.8 +python_requires = >=3.9 include_package_data = True package_dir = =src @@ -49,6 +49,7 @@ napari.manifest = docs = napari[all]==0.4.17 numpydoc + pydantic<2 pydata-sphinx-theme qtgallery sphinx diff --git a/src/napari_matplotlib/base.py b/src/napari_matplotlib/base.py index 792b5aff..0ff5e389 100644 --- a/src/napari_matplotlib/base.py +++ b/src/napari_matplotlib/base.py @@ -1,12 +1,12 @@ import os from pathlib import Path -from typing import List, Optional, Tuple +from typing import Optional import matplotlib import matplotlib.style as mplstyle import napari -from matplotlib.backends.backend_qtagg import ( - FigureCanvas, +from matplotlib.backends.backend_qtagg import ( # type: ignore[attr-defined] + FigureCanvasQTAgg, NavigationToolbar2QT, ) from matplotlib.figure import Figure @@ -49,12 +49,10 @@ def __init__( # Sets figure.* style with mplstyle.context(self.mpl_style_sheet_path): - self.canvas = FigureCanvas() + self.canvas = FigureCanvasQTAgg() # type: ignore[no-untyped-call] self.canvas.figure.set_layout_engine("constrained") - self.toolbar = NapariNavigationToolbar( - self.canvas, parent=self - ) # type: ignore[no-untyped-call] + self.toolbar = NapariNavigationToolbar(self.canvas, parent=self) self._replace_toolbar_icons() # callback to update when napari theme changed # TODO: this isn't working completely (see issue #140) @@ -97,7 +95,7 @@ def add_single_axes(self) -> None: # Sets axes.* style. # Does not set any text styling set by axes.* keys with mplstyle.context(self.mpl_style_sheet_path): - self.axes = self.figure.subplots() + self.axes = self.figure.add_subplot() def _on_napari_theme_changed(self) -> None: """ @@ -184,7 +182,7 @@ class NapariMPLWidget(BaseNapariMPLWidget): #: Number of layers taken as input n_layers_input = Interval(None, None) #: Type of layer taken as input - input_layer_types: Tuple[napari.layers.Layer, ...] = (napari.layers.Layer,) + input_layer_types: tuple[napari.layers.Layer, ...] = (napari.layers.Layer,) def __init__( self, @@ -193,7 +191,7 @@ def __init__( ): super().__init__(napari_viewer=napari_viewer, parent=parent) self._setup_callbacks() - self.layers: List[napari.layers.Layer] = [] + self.layers: list[napari.layers.Layer] = [] helper_text = self.n_layers_input._helper_text if helper_text is not None: @@ -260,7 +258,7 @@ def _draw(self) -> None: isinstance(layer, self.input_layer_types) for layer in self.layers ): self.draw() - self.canvas.draw() + self.canvas.draw() # type: ignore[no-untyped-call] def clear(self) -> None: """ @@ -309,8 +307,8 @@ def clear(self) -> None: class NapariNavigationToolbar(NavigationToolbar2QT): """Custom Toolbar style for Napari.""" - def __init__(self, *args, **kwargs): # type: ignore[no-untyped-def] - super().__init__(*args, **kwargs) + def __init__(self, *args, **kwargs) -> None: # type: ignore[no-untyped-def] + super().__init__(*args, **kwargs) # type: ignore[no-untyped-call] self.setIconSize( from_napari_css_get_size_of( "QtViewerPushButton", fallback=(28, 28) @@ -319,7 +317,7 @@ def __init__(self, *args, **kwargs): # type: ignore[no-untyped-def] def _update_buttons_checked(self) -> None: """Update toggle tool icons when selected/unselected.""" - super()._update_buttons_checked() + super()._update_buttons_checked() # type: ignore[no-untyped-call] icon_dir = self.parentWidget()._get_path_to_icon() # changes pan/zoom icons depending on state (checked or not) diff --git a/src/napari_matplotlib/histogram.py b/src/napari_matplotlib/histogram.py index 66aa7acc..f78a8503 100644 --- a/src/napari_matplotlib/histogram.py +++ b/src/napari_matplotlib/histogram.py @@ -1,8 +1,9 @@ -from typing import Any, List, Optional, Tuple +from typing import Any, Optional, cast import napari import numpy as np import numpy.typing as npt +from matplotlib.container import BarContainer from qtpy.QtWidgets import QComboBox, QLabel, QVBoxLayout, QWidget from .base import SingleAxesWidget @@ -107,7 +108,7 @@ def _set_axis_keys(self, x_axis_key: str) -> None: self._x_axis_key = x_axis_key self._draw() - def _get_valid_axis_keys(self) -> List[str]: + def _get_valid_axis_keys(self) -> list[str]: """ Get the valid axis keys from the layer FeatureTable. @@ -122,7 +123,7 @@ def _get_valid_axis_keys(self) -> List[str]: else: return self.layers[0].features.keys() - def _get_data(self) -> Tuple[Optional[npt.NDArray[Any]], str]: + def _get_data(self) -> tuple[Optional[npt.NDArray[Any]], str]: """Get the plot data. Returns @@ -162,12 +163,39 @@ def on_update_layers(self) -> None: def draw(self) -> None: """Clear the axes and histogram the currently selected layer/slice.""" + # get the colormap from the layer depending on its type + if isinstance(self.layers[0], napari.layers.Points): + colormap = self.layers[0].face_colormap + self.layers[0].face_color = self.x_axis_key + elif isinstance(self.layers[0], napari.layers.Vectors): + colormap = self.layers[0].edge_colormap + self.layers[0].edge_color = self.x_axis_key + else: + colormap = None + + # apply new colors to the layer + self.viewer.layers[self.layers[0].name].refresh_colors(True) + self.viewer.layers[self.layers[0].name].refresh() + + # Draw the histogram data, x_axis_name = self._get_data() if data is None: return - self.axes.hist(data, bins=50, edgecolor="white", linewidth=0.3) + _, bins, patches = self.axes.hist( + data, bins=50, edgecolor="white", linewidth=0.3 + ) + patches = cast(BarContainer, patches) + + # recolor the histogram plot + if colormap is not None: + self.bins_norm = (bins - bins.min()) / (bins.max() - bins.min()) + colors = colormap.map(self.bins_norm) + + # Set histogram style: + for idx, patch in enumerate(patches): + patch.set_facecolor(colors[idx]) # set ax labels self.axes.set_xlabel(x_axis_name) diff --git a/src/napari_matplotlib/scatter.py b/src/napari_matplotlib/scatter.py index a4148bd2..67d6896c 100644 --- a/src/napari_matplotlib/scatter.py +++ b/src/napari_matplotlib/scatter.py @@ -1,4 +1,4 @@ -from typing import Any, Dict, List, Optional, Tuple, Union +from typing import Any, Optional, Union import napari import numpy.typing as npt @@ -40,7 +40,7 @@ def draw(self) -> None: self.axes.set_xlabel(x_axis_name) self.axes.set_ylabel(y_axis_name) - def _get_data(self) -> Tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]: + def _get_data(self) -> tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]: """ Get the plot data. @@ -67,7 +67,7 @@ class ScatterWidget(ScatterBaseWidget): n_layers_input = Interval(2, 2) input_layer_types = (napari.layers.Image,) - def _get_data(self) -> Tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]: + def _get_data(self) -> tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]: """ Get the plot data. @@ -106,7 +106,7 @@ def __init__( self.layout().addLayout(QVBoxLayout()) - self._selectors: Dict[str, QComboBox] = {} + self._selectors: dict[str, QComboBox] = {} for dim in ["x", "y"]: self._selectors[dim] = QComboBox() # Re-draw when combo boxes are updated @@ -147,7 +147,7 @@ def y_axis_key(self, key: str) -> None: self._selectors["y"].setCurrentText(key) self._draw() - def _get_valid_axis_keys(self) -> List[str]: + def _get_valid_axis_keys(self) -> list[str]: """ Get the valid axis keys from the layer FeatureTable. @@ -186,7 +186,7 @@ def draw(self) -> None: if self._ready_to_scatter(): super().draw() - def _get_data(self) -> Tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]: + def _get_data(self) -> tuple[npt.NDArray[Any], npt.NDArray[Any], str, str]: """ Get the plot data from the ``features`` attribute of the first selected layer. diff --git a/src/napari_matplotlib/slice.py b/src/napari_matplotlib/slice.py index 393f2e45..9459fa97 100644 --- a/src/napari_matplotlib/slice.py +++ b/src/napari_matplotlib/slice.py @@ -1,4 +1,4 @@ -from typing import Any, List, Optional, Tuple +from typing import Any, Optional import matplotlib.ticker as mticker import napari @@ -99,7 +99,7 @@ def current_dim_index(self) -> int: return self._dim_names.index(self.current_dim_name) @property - def _dim_names(self) -> List[str]: + def _dim_names(self) -> list[str]: """ List of dimension names. This is a property as it varies depending on the dimensionality of the currently selected data. @@ -111,7 +111,7 @@ def _dim_names(self) -> List[str]: else: raise RuntimeError("Don't know how to handle ndim != 2 or 3") - def _get_xy(self) -> Tuple[npt.NDArray[Any], npt.NDArray[Any]]: + def _get_xy(self) -> tuple[npt.NDArray[Any], npt.NDArray[Any]]: """ Get data for plotting. """ diff --git a/src/napari_matplotlib/tests/baseline/test_custom_theme.png b/src/napari_matplotlib/tests/baseline/test_custom_theme.png index c3858522..a668c103 100644 Binary files a/src/napari_matplotlib/tests/baseline/test_custom_theme.png and b/src/napari_matplotlib/tests/baseline/test_custom_theme.png differ diff --git a/src/napari_matplotlib/tests/baseline/test_feature_histogram2.png b/src/napari_matplotlib/tests/baseline/test_feature_histogram2.png deleted file mode 100644 index b7bb19e0..00000000 Binary files a/src/napari_matplotlib/tests/baseline/test_feature_histogram2.png and /dev/null differ diff --git a/src/napari_matplotlib/tests/baseline/test_feature_histogram_points.png b/src/napari_matplotlib/tests/baseline/test_feature_histogram_points.png new file mode 100644 index 00000000..b98a0170 Binary files /dev/null and b/src/napari_matplotlib/tests/baseline/test_feature_histogram_points.png differ diff --git a/src/napari_matplotlib/tests/baseline/test_feature_histogram_vectors.png b/src/napari_matplotlib/tests/baseline/test_feature_histogram_vectors.png new file mode 100644 index 00000000..3b90586e Binary files /dev/null and b/src/napari_matplotlib/tests/baseline/test_feature_histogram_vectors.png differ diff --git a/src/napari_matplotlib/tests/baseline/test_histogram_2D.png b/src/napari_matplotlib/tests/baseline/test_histogram_2D.png index b76d1e10..b043bba8 100644 Binary files a/src/napari_matplotlib/tests/baseline/test_histogram_2D.png and b/src/napari_matplotlib/tests/baseline/test_histogram_2D.png differ diff --git a/src/napari_matplotlib/tests/baseline/test_histogram_3D.png b/src/napari_matplotlib/tests/baseline/test_histogram_3D.png index 2dffdcb2..724314e1 100644 Binary files a/src/napari_matplotlib/tests/baseline/test_histogram_3D.png and b/src/napari_matplotlib/tests/baseline/test_histogram_3D.png differ diff --git a/src/napari_matplotlib/tests/baseline/test_slice_2D.png b/src/napari_matplotlib/tests/baseline/test_slice_2D.png index ee3ce3b6..d39920be 100644 Binary files a/src/napari_matplotlib/tests/baseline/test_slice_2D.png and b/src/napari_matplotlib/tests/baseline/test_slice_2D.png differ diff --git a/src/napari_matplotlib/tests/baseline/test_slice_3D.png b/src/napari_matplotlib/tests/baseline/test_slice_3D.png index c30211da..cf563de5 100644 Binary files a/src/napari_matplotlib/tests/baseline/test_slice_3D.png and b/src/napari_matplotlib/tests/baseline/test_slice_3D.png differ diff --git a/src/napari_matplotlib/tests/scatter/baseline/test_features_scatter_widget_2D.png b/src/napari_matplotlib/tests/scatter/baseline/test_features_scatter_widget_2D.png index 269ebd01..75965607 100644 Binary files a/src/napari_matplotlib/tests/scatter/baseline/test_features_scatter_widget_2D.png and b/src/napari_matplotlib/tests/scatter/baseline/test_features_scatter_widget_2D.png differ diff --git a/src/napari_matplotlib/tests/scatter/baseline/test_scatter_2D.png b/src/napari_matplotlib/tests/scatter/baseline/test_scatter_2D.png index f96b5354..10219106 100644 Binary files a/src/napari_matplotlib/tests/scatter/baseline/test_scatter_2D.png and b/src/napari_matplotlib/tests/scatter/baseline/test_scatter_2D.png differ diff --git a/src/napari_matplotlib/tests/scatter/baseline/test_scatter_3D.png b/src/napari_matplotlib/tests/scatter/baseline/test_scatter_3D.png index 27e7d673..3e648eec 100644 Binary files a/src/napari_matplotlib/tests/scatter/baseline/test_scatter_3D.png and b/src/napari_matplotlib/tests/scatter/baseline/test_scatter_3D.png differ diff --git a/src/napari_matplotlib/tests/scatter/test_scatter_features.py b/src/napari_matplotlib/tests/scatter/test_scatter_features.py index b5a396fd..3ede1e28 100644 --- a/src/napari_matplotlib/tests/scatter/test_scatter_features.py +++ b/src/napari_matplotlib/tests/scatter/test_scatter_features.py @@ -1,5 +1,5 @@ from copy import deepcopy -from typing import Any, Dict, Tuple +from typing import Any import numpy as np import numpy.typing as npt @@ -34,7 +34,7 @@ def test_features_scatter_widget_2D( def make_labels_layer_with_features() -> ( - Tuple[npt.NDArray[np.uint16], Dict[str, Any]] + tuple[npt.NDArray[np.uint16], dict[str, Any]] ): label_image: npt.NDArray[np.uint16] = np.zeros((100, 100), dtype=np.uint16) for label_value, start_index in enumerate([10, 30, 50], start=1): diff --git a/src/napari_matplotlib/tests/test_histogram.py b/src/napari_matplotlib/tests/test_histogram.py index 006c042f..1ceca519 100644 --- a/src/napari_matplotlib/tests/test_histogram.py +++ b/src/napari_matplotlib/tests/test_histogram.py @@ -38,6 +38,8 @@ def test_histogram_3D(make_napari_viewer, brain_data): def test_feature_histogram(make_napari_viewer): n_points = 1000 random_points = np.random.random((n_points, 3)) * 10 + random_directions = np.random.random((n_points, 3)) * 10 + random_vectors = np.stack([random_points, random_directions], axis=1) feature1 = np.random.random(n_points) feature2 = np.random.normal(size=n_points) @@ -47,10 +49,10 @@ def test_feature_histogram(make_napari_viewer): properties={"feature1": feature1, "feature2": feature2}, name="points1", ) - viewer.add_points( - random_points, + viewer.add_vectors( + random_vectors, properties={"feature1": feature1, "feature2": feature2}, - name="points2", + name="vectors1", ) widget = FeaturesHistogramWidget(viewer) @@ -70,26 +72,42 @@ def test_feature_histogram(make_napari_viewer): @pytest.mark.mpl_image_compare -def test_feature_histogram2(make_napari_viewer): - import numpy as np +def test_feature_histogram_vectors(make_napari_viewer): + n_points = 1000 + np.random.seed(42) + random_points = np.random.random((n_points, 3)) * 10 + random_directions = np.random.random((n_points, 3)) * 10 + random_vectors = np.stack([random_points, random_directions], axis=1) + feature1 = np.random.random(n_points) + + viewer = make_napari_viewer() + viewer.add_vectors( + random_vectors, + properties={"feature1": feature1}, + name="vectors1", + ) + + widget = FeaturesHistogramWidget(viewer) + viewer.window.add_dock_widget(widget) + widget._set_axis_keys("feature1") + fig = FeaturesHistogramWidget(viewer).figure + return deepcopy(fig) + + +@pytest.mark.mpl_image_compare +def test_feature_histogram_points(make_napari_viewer): np.random.seed(0) n_points = 1000 random_points = np.random.random((n_points, 3)) * 10 feature1 = np.random.random(n_points) - feature2 = np.random.normal(size=n_points) viewer = make_napari_viewer() viewer.add_points( random_points, - properties={"feature1": feature1, "feature2": feature2}, + properties={"feature1": feature1}, name="points1", ) - viewer.add_points( - random_points, - properties={"feature1": feature1, "feature2": feature2}, - name="points2", - ) widget = FeaturesHistogramWidget(viewer) viewer.window.add_dock_widget(widget) diff --git a/src/napari_matplotlib/tests/test_layer_changes.py b/src/napari_matplotlib/tests/test_layer_changes.py index bdd6c600..15958c07 100644 --- a/src/napari_matplotlib/tests/test_layer_changes.py +++ b/src/napari_matplotlib/tests/test_layer_changes.py @@ -1,5 +1,5 @@ from copy import deepcopy -from typing import Any, Dict, Tuple, Type +from typing import Any import numpy as np import numpy.typing as npt @@ -61,8 +61,8 @@ def test_change_features_layer( def assert_features_plot_changes( viewer: Viewer, - widget_cls: Type[NapariMPLWidget], - data: Tuple[npt.NDArray[np.generic], Dict[str, Any]], + widget_cls: type[NapariMPLWidget], + data: tuple[npt.NDArray[np.generic], dict[str, Any]], ) -> None: """ When the selected layer is changed, make sure the plot generated diff --git a/src/napari_matplotlib/tests/test_theme.py b/src/napari_matplotlib/tests/test_theme.py index 2a340c89..1042d3f3 100644 --- a/src/napari_matplotlib/tests/test_theme.py +++ b/src/napari_matplotlib/tests/test_theme.py @@ -187,6 +187,6 @@ def test_custom_stylesheet(make_napari_viewer, image_data): assert widget.figure.patch.get_facecolor() == to_rgba("#fdf6e3") for gridline in ax.get_xgridlines() + ax.get_ygridlines(): assert gridline.get_visible() is True - assert gridline.get_color() == "#fdf6e3" + assert gridline.get_color() == "#b0b0b0" finally: os.remove(style_sheet_path) diff --git a/src/napari_matplotlib/util.py b/src/napari_matplotlib/util.py index 2aa15ddd..7d72c9e2 100644 --- a/src/napari_matplotlib/util.py +++ b/src/napari_matplotlib/util.py @@ -1,4 +1,4 @@ -from typing import List, Optional, Tuple, Union +from typing import Optional, Union from warnings import warn import napari.qt @@ -76,7 +76,7 @@ def _helper_text(self) -> Optional[str]: return helper_text -def _has_id(nodes: List[tinycss2.ast.Node], id_name: str) -> bool: +def _has_id(nodes: list[tinycss2.ast.Node], id_name: str) -> bool: """ Is `id_name` in IdentTokens in the list of CSS `nodes`? """ @@ -86,7 +86,7 @@ def _has_id(nodes: List[tinycss2.ast.Node], id_name: str) -> bool: def _get_dimension( - nodes: List[tinycss2.ast.Node], id_name: str + nodes: list[tinycss2.ast.Node], id_name: str ) -> Union[int, None]: """ Get the value of the DimensionToken for the IdentToken `id_name`. @@ -108,7 +108,7 @@ def _get_dimension( def from_napari_css_get_size_of( - qt_element_name: str, fallback: Tuple[int, int] + qt_element_name: str, fallback: tuple[int, int] ) -> QSize: """ Get the size of `qt_element_name` from napari's current stylesheet. diff --git a/tox.ini b/tox.ini index 298887e1..4ec0c702 100644 --- a/tox.ini +++ b/tox.ini @@ -1,19 +1,14 @@ [tox] -envlist = py{38,39,310} +envlist = py{39,310,311} isolated_build = true [gh-actions] python = - 3.8: py38 3.9: py39 3.10: py310 + 3.11: py311 [testenv] extras = testing -allowlist_externals = - cp - ls commands = - cp -R {toxinidir}/src/napari_matplotlib/tests/baseline {envdir}/baseline - ls {toxinidir}/src/napari_matplotlib/tests/baseline python -m pytest --mpl --mpl-generate-summary=html --mpl-results-path={toxinidir}/reports -v --color=yes --cov=napari_matplotlib --cov-report=xml pFad - Phonifier reborn

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