text: """
  nodal_averaged_plastic_strains
  ===============
  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 nodal_averaged_plastic_strains(Operator):
      """Read nodal averaged plastic strains as averaged nodal result from rst
      file.
  
      Parameters
      ----------
      time_scoping : Scoping, optional
      mesh_scoping : ScopingsContainer or Scoping, optional
      fields_container : FieldsContainer, optional
          Fieldscontainer already allocated modified
          inplace
      streams_container : StreamsContainer or Stream, optional
          Streams containing the result file.
      data_sources : DataSources
          Data sources containing the result file.
      mesh : MeshedRegion, optional
  
  
      Examples
      --------
      >>> from ansys.dpf import core as dpf
  
      >>> # Instantiate operator
      >>> op = dpf.operators.result.nodal_averaged_plastic_strains()
  
      >>> # Make input connections
      >>> my_time_scoping = dpf.Scoping()
      >>> op.inputs.time_scoping.connect(my_time_scoping)
      >>> my_mesh_scoping = dpf.ScopingsContainer()
      >>> op.inputs.mesh_scoping.connect(my_mesh_scoping)
      >>> my_fields_container = dpf.FieldsContainer()
      >>> op.inputs.fields_container.connect(my_fields_container)
      >>> my_streams_container = dpf.StreamsContainer()
      >>> op.inputs.streams_container.connect(my_streams_container)
      >>> my_data_sources = dpf.DataSources()
      >>> op.inputs.data_sources.connect(my_data_sources)
      >>> my_mesh = dpf.MeshedRegion()
      >>> op.inputs.mesh.connect(my_mesh)
  
      >>> # Instantiate operator and connect inputs in one line
      >>> op = dpf.operators.result.nodal_averaged_plastic_strains(
      ...     time_scoping=my_time_scoping,
      ...     mesh_scoping=my_mesh_scoping,
      ...     fields_container=my_fields_container,
      ...     streams_container=my_streams_container,
      ...     data_sources=my_data_sources,
      ...     mesh=my_mesh,
      ... )
  
      >>> # Get output data
      >>> result_fields_container = op.outputs.fields_container()
      """
  
      def __init__(
          self,
          time_scoping=None,
          mesh_scoping=None,
          fields_container=None,
          streams_container=None,
          data_sources=None,
          mesh=None,
          config=None,
          server=None,
      ):
          super().__init__(name="mapdl::rst::NPPL", config=config, server=server)
          self._inputs = InputsNodalAveragedPlasticStrains(self)
          self._outputs = OutputsNodalAveragedPlasticStrains(self)
          if time_scoping is not None:
              self.inputs.time_scoping.connect(time_scoping)
          if mesh_scoping is not None:
              self.inputs.mesh_scoping.connect(mesh_scoping)
          if fields_container is not None:
              self.inputs.fields_container.connect(fields_container)
          if streams_container is not None:
              self.inputs.streams_container.connect(streams_container)
          if data_sources is not None:
              self.inputs.data_sources.connect(data_sources)
          if mesh is not None:
              self.inputs.mesh.connect(mesh)
  
      @staticmethod
      def _spec():
          description = """Read nodal averaged plastic strains as averaged nodal result from rst
              file."""
          spec = Specification(
              description=description,
              map_input_pin_spec={
                  0: PinSpecification(
                      name="time_scoping",
                      type_names=["scoping", "vector<int32>"],
                      optional=True,
                      document="""""",
                  ),
                  1: PinSpecification(
                      name="mesh_scoping",
                      type_names=["scopings_container", "scoping", "vector<int32>"],
                      optional=True,
                      document="""""",
                  ),
                  2: PinSpecification(
                      name="fields_container",
                      type_names=["fields_container"],
                      optional=True,
                      document="""Fieldscontainer already allocated modified
          inplace""",
                  ),
                  3: PinSpecification(
                      name="streams_container",
                      type_names=["streams_container", "stream"],
                      optional=True,
                      document="""Streams containing the result file.""",
                  ),
                  4: PinSpecification(
                      name="data_sources",
                      type_names=["data_sources"],
                      optional=False,
                      document="""Data sources containing the result file.""",
                  ),
                  7: PinSpecification(
                      name="mesh",
                      type_names=["abstract_meshed_region"],
                      optional=True,
                      document="""""",
                  ),
              },
              map_output_pin_spec={
                  0: PinSpecification(
                      name="fields_container",
                      type_names=["fields_container"],
                      optional=False,
                      document="""Fieldscontainer filled in""",
                  ),
              },
          )
          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 the global server.
          """
          return Operator.default_config(name="mapdl::rst::NPPL", server=server)
  
      @property
      def inputs(self):
          """Enables to connect inputs to the operator
  
          Returns
          --------
          inputs : InputsNodalAveragedPlasticStrains
          """
          return super().inputs
  
      @property
      def outputs(self):
          """Enables to get outputs of the operator by evaluationg it
  
          Returns
          --------
          outputs : OutputsNodalAveragedPlasticStrains
          """
          return super().outputs
  
  
  class InputsNodalAveragedPlasticStrains(_Inputs):
      """Intermediate class used to connect user inputs to
      nodal_averaged_plastic_strains operator.
  
      Examples
      --------
      >>> from ansys.dpf import core as dpf
      >>> op = dpf.operators.result.nodal_averaged_plastic_strains()
      >>> my_time_scoping = dpf.Scoping()
      >>> op.inputs.time_scoping.connect(my_time_scoping)
      >>> my_mesh_scoping = dpf.ScopingsContainer()
      >>> op.inputs.mesh_scoping.connect(my_mesh_scoping)
      >>> my_fields_container = dpf.FieldsContainer()
      >>> op.inputs.fields_container.connect(my_fields_container)
      >>> my_streams_container = dpf.StreamsContainer()
      >>> op.inputs.streams_container.connect(my_streams_container)
      >>> my_data_sources = dpf.DataSources()
      >>> op.inputs.data_sources.connect(my_data_sources)
      >>> my_mesh = dpf.MeshedRegion()
      >>> op.inputs.mesh.connect(my_mesh)
      """
  
      def __init__(self, op: Operator):
          super().__init__(nodal_averaged_plastic_strains._spec().inputs, op)
          self._time_scoping = Input(
              nodal_averaged_plastic_strains._spec().input_pin(0), 0, op, -1
          )
          self._inputs.append(self._time_scoping)
          self._mesh_scoping = Input(
              nodal_averaged_plastic_strains._spec().input_pin(1), 1, op, -1
          )
          self._inputs.append(self._mesh_scoping)
          self._fields_container = Input(
              nodal_averaged_plastic_strains._spec().input_pin(2), 2, op, -1
          )
          self._inputs.append(self._fields_container)
          self._streams_container = Input(
              nodal_averaged_plastic_strains._spec().input_pin(3), 3, op, -1
          )
          self._inputs.append(self._streams_container)
          self._data_sources = Input(
              nodal_averaged_plastic_strains._spec().input_pin(4), 4, op, -1
          )
          self._inputs.append(self._data_sources)
          self._mesh = Input(
              nodal_averaged_plastic_strains._spec().input_pin(7), 7, op, -1
          )
          self._inputs.append(self._mesh)
  
      @property
      def time_scoping(self):
          """Allows to connect time_scoping input to the operator.
  
          Parameters
          ----------
          my_time_scoping : Scoping
  
          Examples
          --------
          >>> from ansys.dpf import core as dpf
          >>> op = dpf.operators.result.nodal_averaged_plastic_strains()
          >>> op.inputs.time_scoping.connect(my_time_scoping)
          >>> # or
          >>> op.inputs.time_scoping(my_time_scoping)
          """
          return self._time_scoping
  
      @property
      def mesh_scoping(self):
          """Allows to connect mesh_scoping input to the operator.
  
          Parameters
          ----------
          my_mesh_scoping : ScopingsContainer or Scoping
  
          Examples
          --------
          >>> from ansys.dpf import core as dpf
          >>> op = dpf.operators.result.nodal_averaged_plastic_strains()
          >>> op.inputs.mesh_scoping.connect(my_mesh_scoping)
          >>> # or
          >>> op.inputs.mesh_scoping(my_mesh_scoping)
          """
          return self._mesh_scoping
  
      @property
      def fields_container(self):
          """Allows to connect fields_container input to the operator.
  
          Fieldscontainer already allocated modified
          inplace
  
          Parameters
          ----------
          my_fields_container : FieldsContainer
  
          Examples
          --------
          >>> from ansys.dpf import core as dpf
          >>> op = dpf.operators.result.nodal_averaged_plastic_strains()
          >>> op.inputs.fields_container.connect(my_fields_container)
          >>> # or
          >>> op.inputs.fields_container(my_fields_container)
          """
          return self._fields_container
  
      @property
      def streams_container(self):
          """Allows to connect streams_container input to the operator.
  
          Streams containing the result file.
  
          Parameters
          ----------
          my_streams_container : StreamsContainer or Stream
  
          Examples
          --------
          >>> from ansys.dpf import core as dpf
          >>> op = dpf.operators.result.nodal_averaged_plastic_strains()
          >>> op.inputs.streams_container.connect(my_streams_container)
          >>> # or
          >>> op.inputs.streams_container(my_streams_container)
          """
          return self._streams_container
  
      @property
      def data_sources(self):
          """Allows to connect data_sources input to the operator.
  
          Data sources containing the result file.
  
          Parameters
          ----------
          my_data_sources : DataSources
  
          Examples
          --------
          >>> from ansys.dpf import core as dpf
          >>> op = dpf.operators.result.nodal_averaged_plastic_strains()
          >>> op.inputs.data_sources.connect(my_data_sources)
          >>> # or
          >>> op.inputs.data_sources(my_data_sources)
          """
          return self._data_sources
  
      @property
      def mesh(self):
          """Allows to connect mesh input to the operator.
  
          Parameters
          ----------
          my_mesh : MeshedRegion
  
          Examples
          --------
          >>> from ansys.dpf import core as dpf
          >>> op = dpf.operators.result.nodal_averaged_plastic_strains()
          >>> op.inputs.mesh.connect(my_mesh)
          >>> # or
          >>> op.inputs.mesh(my_mesh)
          """
          return self._mesh
  
  
  class OutputsNodalAveragedPlasticStrains(_Outputs):
      """Intermediate class used to get outputs from
      nodal_averaged_plastic_strains operator.
  
      Examples
      --------
      >>> from ansys.dpf import core as dpf
      >>> op = dpf.operators.result.nodal_averaged_plastic_strains()
      >>> # Connect inputs : op.inputs. ...
      >>> result_fields_container = op.outputs.fields_container()
      """
  
      def __init__(self, op: Operator):
          super().__init__(nodal_averaged_plastic_strains._spec().outputs, op)
          self._fields_container = Output(
              nodal_averaged_plastic_strains._spec().output_pin(0), 0, op
          )
          self._outputs.append(self._fields_container)
  
      @property
      def fields_container(self):
          """Allows to get fields_container output of the operator
  
          Returns
          ----------
          my_fields_container : FieldsContainer
  
          Examples
          --------
          >>> from ansys.dpf import core as dpf
          >>> op = dpf.operators.result.nodal_averaged_plastic_strains()
          >>> # Connect inputs : op.inputs. ...
          >>> result_fields_container = op.outputs.fields_container()
          """  # noqa: E501
          return self._fields_container
  