update generated code

src/ansys/dpf/core/operators/mesh/__init__.py

@@ -19,6 +19,7 @@
 from .mesh_to_graphics import mesh_to_graphics 
 from .mesh_to_graphics_edges import mesh_to_graphics_edges 
 from .mesh_to_pyvista import mesh_to_pyvista 
+from .mesh_to_tetra import mesh_to_tetra 
 from .meshes_provider import meshes_provider 
 from .node_coordinates import node_coordinates 
 from .points_from_coordinates import points_from_coordinates 

src/ansys/dpf/core/operators/mesh/mesh_to_tetra.py

@@ -0,0 +1,242 @@
+"""
+mesh_to_tetra
+=============
+Autogenerated DPF operator classes.
+"""
+from warnings import warn
+from ansys.dpf.core.dpf_operator import Operator
+from ansys.dpf.core.inputs import Input, _Inputs
+from ansys.dpf.core.outputs import Output, _Outputs
+from ansys.dpf.core.operators.specification import PinSpecification, Specification
+
+
+class mesh_to_tetra(Operator):
+    """Converts 3D meshes of arbitrary 3D element types into a tetrahedral
+    mesh, output at pin (0). Non 3D elements are ignored. Scopings
+    providing the mapping from resulting nodes & elements to their
+    original ID in the input mesh are provided, output pins (1) & (2)
+    respectively.
+
+    Parameters
+    ----------
+    mesh : MeshedRegion
+        Mesh with arbitrary element types.
+
+
+    Examples
+    --------
+    >>> from ansys.dpf import core as dpf
+
+    >>> # Instantiate operator
+    >>> op = dpf.operators.mesh.mesh_to_tetra()
+
+    >>> # Make input connections
+    >>> my_mesh = dpf.MeshedRegion()
+    >>> op.inputs.mesh.connect(my_mesh)
+
+    >>> # Instantiate operator and connect inputs in one line
+    >>> op = dpf.operators.mesh.mesh_to_tetra(
+    ...     mesh=my_mesh,
+    ... )
+
+    >>> # Get output data
+    >>> result_mesh = op.outputs.mesh()
+    >>> result_node_mapping = op.outputs.node_mapping()
+    >>> result_element_mapping = op.outputs.element_mapping()
+    """
+
+    def __init__(self, mesh=None, config=None, server=None):
+        super().__init__(name="mesh_to_tetra", config=config, server=server)
+        self._inputs = InputsMeshToTetra(self)
+        self._outputs = OutputsMeshToTetra(self)
+        if mesh is not None:
+            self.inputs.mesh.connect(mesh)
+
+    @staticmethod
+    def _spec():
+        description = """Converts 3D meshes of arbitrary 3D element types into a tetrahedral
+            mesh, output at pin (0). Non 3D elements are ignored.
+            Scopings providing the mapping from resulting nodes &
+            elements to their original ID in the input mesh are
+            provided, output pins (1) & (2) respectively."""
+        spec = Specification(
+            description=description,
+            map_input_pin_spec={
+                0: PinSpecification(
+                    name="mesh",
+                    type_names=["abstract_meshed_region"],
+                    optional=False,
+                    document="""Mesh with arbitrary element types.""",
+                ),
+            },
+            map_output_pin_spec={
+                0: PinSpecification(
+                    name="mesh",
+                    type_names=["meshed_region"],
+                    optional=False,
+                    document="""Tetrahedralized mesh.""",
+                ),
+                1: PinSpecification(
+                    name="node_mapping",
+                    type_names=["scoping"],
+                    optional=False,
+                    document="""Node mapping.""",
+                ),
+                2: PinSpecification(
+                    name="element_mapping",
+                    type_names=["scoping"],
+                    optional=False,
+                    document="""Element mapping.""",
+                ),
+            },
+        )
+        return spec
+
+    @staticmethod
+    def default_config(server=None):
+        """Returns the default config of the operator.
+
+        This config can then be changed to the user needs and be used to
+        instantiate the operator. The Configuration allows to customize
+        how the operation will be processed by the operator.
+
+        Parameters
+        ----------
+        server : server.DPFServer, optional
+            Server with channel connected to the remote or local instance. When
+            ``None``, attempts to use the global server.
+        """
+        return Operator.default_config(name="mesh_to_tetra", server=server)
+
+    @property
+    def inputs(self):
+        """Enables to connect inputs to the operator
+
+        Returns
+        --------
+        inputs : InputsMeshToTetra
+        """
+        return super().inputs
+
+    @property
+    def outputs(self):
+        """Enables to get outputs of the operator by evaluating it
+
+        Returns
+        --------
+        outputs : OutputsMeshToTetra
+        """
+        return super().outputs
+
+
+class InputsMeshToTetra(_Inputs):
+    """Intermediate class used to connect user inputs to
+    mesh_to_tetra operator.
+
+    Examples
+    --------
+    >>> from ansys.dpf import core as dpf
+    >>> op = dpf.operators.mesh.mesh_to_tetra()
+    >>> my_mesh = dpf.MeshedRegion()
+    >>> op.inputs.mesh.connect(my_mesh)
+    """
+
+    def __init__(self, op: Operator):
+        super().__init__(mesh_to_tetra._spec().inputs, op)
+        self._mesh = Input(mesh_to_tetra._spec().input_pin(0), 0, op, -1)
+        self._inputs.append(self._mesh)
+
+    @property
+    def mesh(self):
+        """Allows to connect mesh input to the operator.
+
+        Mesh with arbitrary element types.
+
+        Parameters
+        ----------
+        my_mesh : MeshedRegion
+
+        Examples
+        --------
+        >>> from ansys.dpf import core as dpf
+        >>> op = dpf.operators.mesh.mesh_to_tetra()
+        >>> op.inputs.mesh.connect(my_mesh)
+        >>> # or
+        >>> op.inputs.mesh(my_mesh)
+        """
+        return self._mesh
+
+
+class OutputsMeshToTetra(_Outputs):
+    """Intermediate class used to get outputs from
+    mesh_to_tetra operator.
+
+    Examples
+    --------
+    >>> from ansys.dpf import core as dpf
+    >>> op = dpf.operators.mesh.mesh_to_tetra()
+    >>> # Connect inputs : op.inputs. ...
+    >>> result_mesh = op.outputs.mesh()
+    >>> result_node_mapping = op.outputs.node_mapping()
+    >>> result_element_mapping = op.outputs.element_mapping()
+    """
+
+    def __init__(self, op: Operator):
+        super().__init__(mesh_to_tetra._spec().outputs, op)
+        self._mesh = Output(mesh_to_tetra._spec().output_pin(0), 0, op)
+        self._outputs.append(self._mesh)
+        self._node_mapping = Output(mesh_to_tetra._spec().output_pin(1), 1, op)
+        self._outputs.append(self._node_mapping)
+        self._element_mapping = Output(mesh_to_tetra._spec().output_pin(2), 2, op)
+        self._outputs.append(self._element_mapping)
+
+    @property
+    def mesh(self):
+        """Allows to get mesh output of the operator
+
+        Returns
+        ----------
+        my_mesh : MeshedRegion
+
+        Examples
+        --------
+        >>> from ansys.dpf import core as dpf
+        >>> op = dpf.operators.mesh.mesh_to_tetra()
+        >>> # Connect inputs : op.inputs. ...
+        >>> result_mesh = op.outputs.mesh()
+        """  # noqa: E501
+        return self._mesh
+
+    @property
+    def node_mapping(self):
+        """Allows to get node_mapping output of the operator
+
+        Returns
+        ----------
+        my_node_mapping : Scoping
+
+        Examples
+        --------
+        >>> from ansys.dpf import core as dpf
+        >>> op = dpf.operators.mesh.mesh_to_tetra()
+        >>> # Connect inputs : op.inputs. ...
+        >>> result_node_mapping = op.outputs.node_mapping()
+        """  # noqa: E501
+        return self._node_mapping
+
+    @property
+    def element_mapping(self):
+        """Allows to get element_mapping output of the operator
+
+        Returns
+        ----------
+        my_element_mapping : Scoping
+
+        Examples
+        --------
+        >>> from ansys.dpf import core as dpf
+        >>> op = dpf.operators.mesh.mesh_to_tetra()
+        >>> # Connect inputs : op.inputs. ...
+        >>> result_element_mapping = op.outputs.element_mapping()
+        """  # noqa: E501
+        return self._element_mapping