Bump pyvista from 0.44.2 to 0.45.0 in /requirements #2229

dependabot · 2025-04-21T05:25:10Z

Bumps pyvista from 0.44.2 to 0.45.0.

Release notes

v0.45.0

Highlights

VTK 9.4.2 is now supported

Python 3.13 now supported

Support for Python 3.8 has been dropped

New Filters

PolyDataFilters.ruled_surface

PolyDataFilters.decimate_polyline

PolyDataFilters.flip_faces (replacement for flip_normals which is now deprecated)

PolyDataFilters.flip_normal_vectors

ImageDataFilters.label_connectivity

ImageDataFilters.resample

ImageDataFilters.select_values

ImageDataFilters.contour_labels (replacement for contour_labeled which is now deprecated)

DatasetFilters.align_xyz

DataSetFilters.color_labels

DataSetFilters.bounding_box

DataSetFilters.oriented_bounding_box

DataSetFilters.voxelize_binary_mask

CompositeFilters.generic_filter

DataObjectFilters.cell_quality (replacement for compute_cell_quality which is now deprecated)

Improved Transformations

New Transform class for working with transformation matrices

Using DataObjectFilters.transform with ImageData now returns ImageData instead of StructuredGrid

The DataObjectFilters.transform filter is generalized to work with MultiBlock meshes

New DataObjectFilters.rotate filter for rotating meshes

New Prop3D.rotation_from method for rotating actors

New MultiBlock Methods and Properties

recursive_iterator

flatten

nested_block_types

is_homogeneous

is_heterogeneous

as_unstructured_grid_blocks

is_empty

New ImageData Properties

index_to_physical_matrix

physical_to_index_matrix

direction_matrix

dimensionality

offset

New Utilities

... (truncated)

Commits

a381282 Release 0.45.0
12a7d37 Merge branch 'main' into release/0.45
2c273a3 Add render window to PyVista Report (#7436)
1f4f40b Remove Twitter share links (#7440)
0aa5fb6 Bump development version 0.46
afcf3d6 Fix Color Mapping for Volume Rendering (#7358)
5cf07a0 Paremetrize merge filter test for easier debugging (#7425)
1d98a9c Fix import error for deprecated vtkCompositePolyDataMapper2 (#7427)
b14b7d6 Fix function pyvista.to meshio() for VTK 9.4 (#7130)
478af50 Disable VTK 9.4 snake_case API (#7198)
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Bumps [pyvista](https://github.com/pyvista/pyvista) from 0.44.2 to 0.45.0. - [Release notes](https://github.com/pyvista/pyvista/releases) - [Commits](pyvista/pyvista@v0.44.2...v0.45.0) --- updated-dependencies: - dependency-name: pyvista dependency-version: 0.45.0 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>

codecov · 2025-04-21T05:33:33Z

❌ 90 Tests Failed:

Tests completed	Failed	Passed	Skipped
21530	90	21440	2763

View the top 3 failed test(s) by shortest run time

tests/test_geometry.py::test_create_plane_from_point_and_line[point0-line0]

Stack Traces | 0.448s run time

transform = array([[nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [ 0.,  0.,  0.,  1.]])

    def validate_transform4x4(
        transform: TransformLike, /, *, must_be_finite: bool = True, name: str = 'Transform'
    ) -> NumpyArray[float]:
        """Validate transform-like input as a 4x4 ndarray.
    
        Parameters
        ----------
        transform : TransformLike
            Transformation matrix as a 3x3 or 4x4 array, 3x3 or 4x4 vtkMatrix, vtkTransform,
            or a SciPy ``Rotation`` instance. If the input is 3x3, the array is padded using
            a 4x4 identity matrix.
    
        must_be_finite : bool, default: True
            :func:`Check <pyvista.core._validation.check.check_finite>`
            if all elements of the array are finite, i.e. not ``infinity``
            and not Not a Number (``NaN``).
    
        name : str, default: "Transform"
            Variable name to use in the error messages if any of the
            validation checks fail.
    
        Returns
        -------
        np.ndarray
            Validated 4x4 transformation matrix.
    
        See Also
        --------
        validate_transform3x3
            Similar function for 3x3 transforms.
    
        validate_array
            Generic array validation function.
    
        """
        check_string(name, name='Name')
        try:
            arr = np.eye(4)  # initialize
>           arr[:3, :3] = validate_transform3x3(transform, must_be_finite=must_be_finite, name=name)

..../test-api/lib/python3.10.../core/_validation/validate.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = array([[nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [ 0.,  0.,  0.,  1.]])

    def validate_transform3x3(
        transform: TransformLike, /, *, must_be_finite: bool = True, name: str = 'Transform'
    ):
        """Validate transform-like input as a 3x3 ndarray.
    
        Parameters
        ----------
        transform : RotationLike
            Transformation matrix as a 3x3 array, vtk matrix, or a SciPy ``Rotation``
            instance.
    
            .. note::
    
               Although ``RotationLike`` inputs are accepted, no checks are done
               to verify that the transformation is actually a rotation.
               Therefore, any 3x3 transformation is acceptable.
    
        must_be_finite : bool, default: True
            :func:`Check <pyvista.core._validation.check.check_finite>`
            if all elements of the array are finite, i.e. not ``infinity``
            and not Not a Number (``NaN``).
    
        name : str, default: "Transform"
            Variable name to use in the error messages if any of the
            validation checks fail.
    
        Returns
        -------
        np.ndarray
            Validated 3x3 transformation matrix.
    
        See Also
        --------
        validate_transform4x4
            Similar function for 4x4 transforms.
    
        validate_array
            Generic array validation function.
    
        """
        check_string(name, name='Name')
        if isinstance(transform, vtkMatrix3x3):
            return _array_from_vtkmatrix(transform, shape=(3, 3))
        else:
            try:
                return validate_array(
                    transform,  # type: ignore[arg-type]
                    must_have_shape=(3, 3),
                    must_be_finite=must_be_finite,
                    name=name,
                )
            except ValueError:
                pass
            except TypeError:
                try:
                    from scipy.spatial.transform import Rotation
                except ModuleNotFoundError:  # pragma: no cover
                    pass
                else:
                    if isinstance(transform, Rotation):
                        # Get matrix output and try validating again
                        return validate_transform3x3(
                            transform.as_matrix(), must_be_finite=must_be_finite, name=name
                        )
    
        error_message = (
            f'Input transform must be one of:\n'
            '\tvtkMatrix3x3\n'
            '\t3x3 np.ndarray\n'
            '\tscipy.spatial.transform.Rotation\n'
            f'Got {reprlib.repr(transform)} with type {type(transform)} instead.'
        )
>       raise TypeError(error_message)
E       TypeError: Input transform must be one of:
E       	vtkMatrix3x3
E       	3x3 np.ndarray
E       	scipy.spatial.transform.Rotation
E       Got array([[nan, ....,  0.,  1.]]) with type <class 'numpy.ndarray'> instead.

..../test-api/lib/python3.10.../core/_validation/validate.py:722: TypeError

During handling of the above exception, another exception occurred:

point = [0.0, 0.0, 0.0], line = [[0.0, 0.0, 0.0], [0.0, 0.0, 1.0]]

    @pytest.mark.parametrize(("point", "line"), plane_point_line_data)
    def test_create_plane_from_point_and_line(point, line):
        plane = create_plane_from_point_and_line(
            point() if callable(point) else point, line() if callable(line) else line
        )
>       plane.plot()

tests/test_geometry.py:269: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
..../test-api/lib/python3.10.../dpf/core/geometry.py:451: in plot
    pl.add_plane(self)
..../test-api/lib/python3.10.../dpf/core/plotter.py:500: in add_plane
    self._internal_plotter.add_plane(plane, field, **kwargs)
..../test-api/lib/python3.10.../dpf/core/plotter.py:116: in add_plane
    plane_plot = pv.Plane(
..../test-api/lib/python3.10.../core/utilities/geometric_objects.py:1073: in Plane
    translate(surf, center, direction)
..../test-api/lib/python3.10.../core/utilities/geometric_sources.py:85: in translate
    surf.transform(trans, inplace=True)
..../test-api/lib/python3.10.../core/filters/data_object.py:195: in transform
    t = trans if isinstance(trans, Transform) else Transform(trans)
..../test-api/lib/python3.10.../core/utilities/transform.py:269: in __init__
    self.matrix = trans  # type: ignore[assignment]
..../test-api/lib/python3.10.../core/utilities/transform.py:1382: in matrix
    self.compose(trans)
..../test-api/lib/python3.10.../core/utilities/transform.py:1335: in compose
    array = _validation.validate_transform4x4(
..../test-api/lib/python3.10.../core/_validation/validate.py:628: in validate_transform4x4
    arr = validate_array(
..../test-api/lib/python3.10.../core/_validation/validate.py:337: in validate_array
    check_finite(arr_out, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

array = array([[nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [ 0.,  0.,  0.,  1.]])

    def check_finite(array: _ArrayLikeOrScalar[NumberType], /, *, name: str = 'Array') -> None:
        """Check if an array has finite values, i.e. no NaN or Inf values.
    
        Parameters
        ----------
        array : float | ArrayLike[float]
            Number or array to check.
    
        name : str, default: "Array"
            Variable name to use in the error messages if any are raised.
    
        Raises
        ------
        ValueError
            If the array has any ``Inf`` or ``NaN`` values.
    
        See Also
        --------
        check_real
    
        Examples
        --------
        Check if an array's values are finite.
    
        >>> from pyvista import _validation
        >>> _validation.check_finite([1, 2, 3])
    
        """
        array = array if isinstance(array, np.ndarray) else _cast_to_numpy(array)
        if not np.all(np.isfinite(array)):
            msg = f'{name} must have finite values.'
>           raise ValueError(msg)
E           ValueError: matrix must have finite values.

..../test-api/lib/python3.10.../core/_validation/check.py:307: ValueError

tests/test_geometry.py::test_create_plane_from_lines[line10-line20]

Stack Traces | 0.449s run time

transform = array([[nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [ 0.,  0.,  0.,  1.]])

    def validate_transform4x4(
        transform: TransformLike, /, *, must_be_finite: bool = True, name: str = 'Transform'
    ) -> NumpyArray[float]:
        """Validate transform-like input as a 4x4 ndarray.
    
        Parameters
        ----------
        transform : TransformLike
            Transformation matrix as a 3x3 or 4x4 array, 3x3 or 4x4 vtkMatrix, vtkTransform,
            or a SciPy ``Rotation`` instance. If the input is 3x3, the array is padded using
            a 4x4 identity matrix.
    
        must_be_finite : bool, default: True
            :func:`Check <pyvista.core._validation.check.check_finite>`
            if all elements of the array are finite, i.e. not ``infinity``
            and not Not a Number (``NaN``).
    
        name : str, default: "Transform"
            Variable name to use in the error messages if any of the
            validation checks fail.
    
        Returns
        -------
        np.ndarray
            Validated 4x4 transformation matrix.
    
        See Also
        --------
        validate_transform3x3
            Similar function for 3x3 transforms.
    
        validate_array
            Generic array validation function.
    
        """
        check_string(name, name='Name')
        try:
            arr = np.eye(4)  # initialize
>           arr[:3, :3] = validate_transform3x3(transform, must_be_finite=must_be_finite, name=name)

..../test-api/lib/python3.10.../core/_validation/validate.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = array([[nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [ 0.,  0.,  0.,  1.]])

    def validate_transform3x3(
        transform: TransformLike, /, *, must_be_finite: bool = True, name: str = 'Transform'
    ):
        """Validate transform-like input as a 3x3 ndarray.
    
        Parameters
        ----------
        transform : RotationLike
            Transformation matrix as a 3x3 array, vtk matrix, or a SciPy ``Rotation``
            instance.
    
            .. note::
    
               Although ``RotationLike`` inputs are accepted, no checks are done
               to verify that the transformation is actually a rotation.
               Therefore, any 3x3 transformation is acceptable.
    
        must_be_finite : bool, default: True
            :func:`Check <pyvista.core._validation.check.check_finite>`
            if all elements of the array are finite, i.e. not ``infinity``
            and not Not a Number (``NaN``).
    
        name : str, default: "Transform"
            Variable name to use in the error messages if any of the
            validation checks fail.
    
        Returns
        -------
        np.ndarray
            Validated 3x3 transformation matrix.
    
        See Also
        --------
        validate_transform4x4
            Similar function for 4x4 transforms.
    
        validate_array
            Generic array validation function.
    
        """
        check_string(name, name='Name')
        if isinstance(transform, vtkMatrix3x3):
            return _array_from_vtkmatrix(transform, shape=(3, 3))
        else:
            try:
                return validate_array(
                    transform,  # type: ignore[arg-type]
                    must_have_shape=(3, 3),
                    must_be_finite=must_be_finite,
                    name=name,
                )
            except ValueError:
                pass
            except TypeError:
                try:
                    from scipy.spatial.transform import Rotation
                except ModuleNotFoundError:  # pragma: no cover
                    pass
                else:
                    if isinstance(transform, Rotation):
                        # Get matrix output and try validating again
                        return validate_transform3x3(
                            transform.as_matrix(), must_be_finite=must_be_finite, name=name
                        )
    
        error_message = (
            f'Input transform must be one of:\n'
            '\tvtkMatrix3x3\n'
            '\t3x3 np.ndarray\n'
            '\tscipy.spatial.transform.Rotation\n'
            f'Got {reprlib.repr(transform)} with type {type(transform)} instead.'
        )
>       raise TypeError(error_message)
E       TypeError: Input transform must be one of:
E       	vtkMatrix3x3
E       	3x3 np.ndarray
E       	scipy.spatial.transform.Rotation
E       Got array([[nan, ....,  0.,  1.]]) with type <class 'numpy.ndarray'> instead.

..../test-api/lib/python3.10.../core/_validation/validate.py:722: TypeError

During handling of the above exception, another exception occurred:

line1 = [[0.0, 0.0, 0.0], [1.0, 0.0, 0.0]]
line2 = [[2.0, 1.0, 0.0], [0.0, 1.0, 0.0]]

    @pytest.mark.parametrize(("line1", "line2"), plane_lines_data)
    def test_create_plane_from_lines(line1, line2):
        plane = create_plane_from_lines(
            line1() if callable(line1) else line1, line2() if callable(line2) else line2
        )
>       plane.plot()

tests/test_geometry.py:234: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
..../test-api/lib/python3.10.../dpf/core/geometry.py:451: in plot
    pl.add_plane(self)
..../test-api/lib/python3.10.../dpf/core/plotter.py:500: in add_plane
    self._internal_plotter.add_plane(plane, field, **kwargs)
..../test-api/lib/python3.10.../dpf/core/plotter.py:116: in add_plane
    plane_plot = pv.Plane(
..../test-api/lib/python3.10.../core/utilities/geometric_objects.py:1073: in Plane
    translate(surf, center, direction)
..../test-api/lib/python3.10.../core/utilities/geometric_sources.py:85: in translate
    surf.transform(trans, inplace=True)
..../test-api/lib/python3.10.../core/filters/data_object.py:195: in transform
    t = trans if isinstance(trans, Transform) else Transform(trans)
..../test-api/lib/python3.10.../core/utilities/transform.py:269: in __init__
    self.matrix = trans  # type: ignore[assignment]
..../test-api/lib/python3.10.../core/utilities/transform.py:1382: in matrix
    self.compose(trans)
..../test-api/lib/python3.10.../core/utilities/transform.py:1335: in compose
    array = _validation.validate_transform4x4(
..../test-api/lib/python3.10.../core/_validation/validate.py:628: in validate_transform4x4
    arr = validate_array(
..../test-api/lib/python3.10.../core/_validation/validate.py:337: in validate_array
    check_finite(arr_out, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

array = array([[nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [ 0.,  0.,  0.,  1.]])

    def check_finite(array: _ArrayLikeOrScalar[NumberType], /, *, name: str = 'Array') -> None:
        """Check if an array has finite values, i.e. no NaN or Inf values.
    
        Parameters
        ----------
        array : float | ArrayLike[float]
            Number or array to check.
    
        name : str, default: "Array"
            Variable name to use in the error messages if any are raised.
    
        Raises
        ------
        ValueError
            If the array has any ``Inf`` or ``NaN`` values.
    
        See Also
        --------
        check_real
    
        Examples
        --------
        Check if an array's values are finite.
    
        >>> from pyvista import _validation
        >>> _validation.check_finite([1, 2, 3])
    
        """
        array = array if isinstance(array, np.ndarray) else _cast_to_numpy(array)
        if not np.all(np.isfinite(array)):
            msg = f'{name} must have finite values.'
>           raise ValueError(msg)
E           ValueError: matrix must have finite values.

..../test-api/lib/python3.10.../core/_validation/check.py:307: ValueError

tests/test_geometry.py::test_create_plane_from_lines[line10-line20]

Stack Traces | 0.453s run time

transform = array([[nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [ 0.,  0.,  0.,  1.]])

    def validate_transform4x4(
        transform: TransformLike, /, *, must_be_finite: bool = True, name: str = 'Transform'
    ) -> NumpyArray[float]:
        """Validate transform-like input as a 4x4 ndarray.
    
        Parameters
        ----------
        transform : TransformLike
            Transformation matrix as a 3x3 or 4x4 array, 3x3 or 4x4 vtkMatrix, vtkTransform,
            or a SciPy ``Rotation`` instance. If the input is 3x3, the array is padded using
            a 4x4 identity matrix.
    
        must_be_finite : bool, default: True
            :func:`Check <pyvista.core._validation.check.check_finite>`
            if all elements of the array are finite, i.e. not ``infinity``
            and not Not a Number (``NaN``).
    
        name : str, default: "Transform"
            Variable name to use in the error messages if any of the
            validation checks fail.
    
        Returns
        -------
        np.ndarray
            Validated 4x4 transformation matrix.
    
        See Also
        --------
        validate_transform3x3
            Similar function for 3x3 transforms.
    
        validate_array
            Generic array validation function.
    
        """
        check_string(name, name='Name')
        try:
            arr = np.eye(4)  # initialize
>           arr[:3, :3] = validate_transform3x3(transform, must_be_finite=must_be_finite, name=name)

..../test-api/lib/python3.10.../core/_validation/validate.py:620: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

transform = array([[nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [ 0.,  0.,  0.,  1.]])

    def validate_transform3x3(
        transform: TransformLike, /, *, must_be_finite: bool = True, name: str = 'Transform'
    ):
        """Validate transform-like input as a 3x3 ndarray.
    
        Parameters
        ----------
        transform : RotationLike
            Transformation matrix as a 3x3 array, vtk matrix, or a SciPy ``Rotation``
            instance.
    
            .. note::
    
               Although ``RotationLike`` inputs are accepted, no checks are done
               to verify that the transformation is actually a rotation.
               Therefore, any 3x3 transformation is acceptable.
    
        must_be_finite : bool, default: True
            :func:`Check <pyvista.core._validation.check.check_finite>`
            if all elements of the array are finite, i.e. not ``infinity``
            and not Not a Number (``NaN``).
    
        name : str, default: "Transform"
            Variable name to use in the error messages if any of the
            validation checks fail.
    
        Returns
        -------
        np.ndarray
            Validated 3x3 transformation matrix.
    
        See Also
        --------
        validate_transform4x4
            Similar function for 4x4 transforms.
    
        validate_array
            Generic array validation function.
    
        """
        check_string(name, name='Name')
        if isinstance(transform, vtkMatrix3x3):
            return _array_from_vtkmatrix(transform, shape=(3, 3))
        else:
            try:
                return validate_array(
                    transform,  # type: ignore[arg-type]
                    must_have_shape=(3, 3),
                    must_be_finite=must_be_finite,
                    name=name,
                )
            except ValueError:
                pass
            except TypeError:
                try:
                    from scipy.spatial.transform import Rotation
                except ModuleNotFoundError:  # pragma: no cover
                    pass
                else:
                    if isinstance(transform, Rotation):
                        # Get matrix output and try validating again
                        return validate_transform3x3(
                            transform.as_matrix(), must_be_finite=must_be_finite, name=name
                        )
    
        error_message = (
            f'Input transform must be one of:\n'
            '\tvtkMatrix3x3\n'
            '\t3x3 np.ndarray\n'
            '\tscipy.spatial.transform.Rotation\n'
            f'Got {reprlib.repr(transform)} with type {type(transform)} instead.'
        )
>       raise TypeError(error_message)
E       TypeError: Input transform must be one of:
E       	vtkMatrix3x3
E       	3x3 np.ndarray
E       	scipy.spatial.transform.Rotation
E       Got array([[nan, ....,  0.,  1.]]) with type <class 'numpy.ndarray'> instead.

..../test-api/lib/python3.10.../core/_validation/validate.py:722: TypeError

During handling of the above exception, another exception occurred:

line1 = [[0.0, 0.0, 0.0], [1.0, 0.0, 0.0]]
line2 = [[2.0, 1.0, 0.0], [0.0, 1.0, 0.0]]

    @pytest.mark.parametrize(("line1", "line2"), plane_lines_data)
    def test_create_plane_from_lines(line1, line2):
        plane = create_plane_from_lines(
            line1() if callable(line1) else line1, line2() if callable(line2) else line2
        )
>       plane.plot()

tests/test_geometry.py:234: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
..../test-api/lib/python3.10.../dpf/core/geometry.py:451: in plot
    pl.add_plane(self)
..../test-api/lib/python3.10.../dpf/core/plotter.py:500: in add_plane
    self._internal_plotter.add_plane(plane, field, **kwargs)
..../test-api/lib/python3.10.../dpf/core/plotter.py:116: in add_plane
    plane_plot = pv.Plane(
..../test-api/lib/python3.10.../core/utilities/geometric_objects.py:1073: in Plane
    translate(surf, center, direction)
..../test-api/lib/python3.10.../core/utilities/geometric_sources.py:85: in translate
    surf.transform(trans, inplace=True)
..../test-api/lib/python3.10.../core/filters/data_object.py:195: in transform
    t = trans if isinstance(trans, Transform) else Transform(trans)
..../test-api/lib/python3.10.../core/utilities/transform.py:269: in __init__
    self.matrix = trans  # type: ignore[assignment]
..../test-api/lib/python3.10.../core/utilities/transform.py:1382: in matrix
    self.compose(trans)
..../test-api/lib/python3.10.../core/utilities/transform.py:1335: in compose
    array = _validation.validate_transform4x4(
..../test-api/lib/python3.10.../core/_validation/validate.py:628: in validate_transform4x4
    arr = validate_array(
..../test-api/lib/python3.10.../core/_validation/validate.py:337: in validate_array
    check_finite(arr_out, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

array = array([[nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [nan, nan, nan,  0.],
       [ 0.,  0.,  0.,  1.]])

    def check_finite(array: _ArrayLikeOrScalar[NumberType], /, *, name: str = 'Array') -> None:
        """Check if an array has finite values, i.e. no NaN or Inf values.
    
        Parameters
        ----------
        array : float | ArrayLike[float]
            Number or array to check.
    
        name : str, default: "Array"
            Variable name to use in the error messages if any are raised.
    
        Raises
        ------
        ValueError
            If the array has any ``Inf`` or ``NaN`` values.
    
        See Also
        --------
        check_real
    
        Examples
        --------
        Check if an array's values are finite.
    
        >>> from pyvista import _validation
        >>> _validation.check_finite([1, 2, 3])
    
        """
        array = array if isinstance(array, np.ndarray) else _cast_to_numpy(array)
        if not np.all(np.isfinite(array)):
            msg = f'{name} must have finite values.'
>           raise ValueError(msg)
E           ValueError: matrix must have finite values.

..../test-api/lib/python3.10.../core/_validation/check.py:307: ValueError

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PProfizi · 2025-04-24T07:05:08Z

Hi @moe-ad :) any idea what could be wrong here ? https://github.com/ansys/pydpf-core/actions/runs/14567893826/job/40859967657?pr=2229#step:14:206

dependabot bot added dependencies Related to package requirements maintenance Repository structure maintenance labels Apr 21, 2025

PProfizi added 3 commits April 23, 2025 09:55

Bump vtk==9.4.2

a27d1e2

Bump vtk==9.4.2

72a2f88

Remove limit on VTK in pyproject.toml

a7fd895

PProfizi mentioned this pull request Apr 23, 2025

Remove exclude of vtk 9.4.0 #1942

Closed

PProfizi and others added 2 commits April 23, 2025 09:58

Use pyvista/setup-headless-display-action v4

5994f31

Test with new prepare_tests action

0000f01

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Bump pyvista from 0.44.2 to 0.45.0 in /requirements #2229

Bump pyvista from 0.44.2 to 0.45.0 in /requirements #2229

dependabot bot commented on behalf of github Apr 21, 2025

codecov bot commented Apr 21, 2025 •

edited

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PProfizi commented Apr 24, 2025

Bump pyvista from 0.44.2 to 0.45.0 in /requirements #2229

Are you sure you want to change the base?

Bump pyvista from 0.44.2 to 0.45.0 in /requirements #2229

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dependabot bot commented on behalf of github Apr 21, 2025

v0.45.0

Highlights

New Filters

Improved Transformations

New MultiBlock Methods and Properties

New ImageData Properties

New Utilities

codecov bot commented Apr 21, 2025 • edited Loading

❌ 90 Tests Failed:

PProfizi commented Apr 24, 2025

New `MultiBlock` Methods and Properties

New `ImageData` Properties

codecov bot commented Apr 21, 2025 •

edited

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