<reponame>rohankumardubey/pyvista
"""Filters module with a class to manage filters/algorithms for unstructured grid datasets."""
import pyvista
from pyvista import abstract_class
from pyvista.core.filters.data_set import DataSetFilters


@abstract_class
class UnstructuredGridFilters(DataSetFilters):
    """An internal class to manage filters/algorithms for unstructured grid datasets."""

    def delaunay_2d(ugrid, tol=1e-05, alpha=0.0, offset=1.0, bound=False,
                    progress_bar=False):
        """Apply a delaunay 2D filter along the best fitting plane.

        This extracts the grid's points and performs the triangulation
        on those alone.

        Parameters
        ----------
        progress_bar : bool, optional
            Display a progress bar to indicate progress.

        """
        return pyvista.PolyData(ugrid.points).delaunay_2d(tol=tol, alpha=alpha,
                                                          offset=offset,
                                                          bound=bound,
                                                          progress_bar=progress_bar)

"""Filters module with a class to manage filters/algorithms for unstructured grid datasets."""
import pyvista
from pyvista import abstract_class
from pyvista.core.filters.data_set import DataSetFilters


@abstract_class
class UnstructuredGridFilters(DataSetFilters):
    """An internal class to manage filters/algorithms for unstructured grid datasets."""

    def delaunay_2d(ugrid, tol=1e-05, alpha=0.0, offset=1.0, bound=False,
                    progress_bar=False):
        """Apply a delaunay 2D filter along the best fitting plane.

        This extracts the grid's points and performs the triangulation
        on those alone.

        Parameters
        ----------
        progress_bar : bool, optional
            Display a progress bar to indicate progress.

        """
        return pyvista.PolyData(ugrid.points).delaunay_2d(tol=tol, alpha=alpha,
                                                          offset=offset,
                                                          bound=bound,
                                                          progress_bar=progress_bar)
Filters module with a class to manage filters/algorithms for unstructured grid datasets. An internal class to manage filters/algorithms for unstructured grid datasets. Apply a delaunay 2D filter along the best fitting plane.          This extracts the grid's points and performs the triangulation         on those alone.          Parameters         ----------         progress_bar : bool, optional             Display a progress bar to indicate progress.