text: """
  overall_dot
  ===============
  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 overall_dot(Operator):
      """Compute a dot product between two fields (fields are seen like a
      single large vector) and return a scalar.
  
      Parameters
      ----------
      fieldA : Field
      fieldB : Field
  
  
      Examples
      --------
      >>> from ansys.dpf import core as dpf
  
      >>> # Instantiate operator
      >>> op = dpf.operators.math.overall_dot()
  
      >>> # Make input connections
      >>> my_fieldA = dpf.Field()
      >>> op.inputs.fieldA.connect(my_fieldA)
      >>> my_fieldB = dpf.Field()
      >>> op.inputs.fieldB.connect(my_fieldB)
  
      >>> # Instantiate operator and connect inputs in one line
      >>> op = dpf.operators.math.overall_dot(
      ...     fieldA=my_fieldA,
      ...     fieldB=my_fieldB,
      ... )
  
      >>> # Get output data
      >>> result_field = op.outputs.field()
      """
  
      def __init__(self, fieldA=None, fieldB=None, config=None, server=None):
          super().__init__(name="native::overall_dot", config=config, server=server)
          self._inputs = InputsOverallDot(self)
          self._outputs = OutputsOverallDot(self)
          if fieldA is not None:
              self.inputs.fieldA.connect(fieldA)
          if fieldB is not None:
              self.inputs.fieldB.connect(fieldB)
  
      @staticmethod
      def _spec():
          description = """Compute a dot product between two fields (fields are seen like a
              single large vector) and return a scalar."""
          spec = Specification(
              description=description,
              map_input_pin_spec={
                  0: PinSpecification(
                      name="fieldA",
                      type_names=["field"],
                      optional=False,
                      document="""""",
                  ),
                  1: PinSpecification(
                      name="fieldB",
                      type_names=["field"],
                      optional=False,
                      document="""""",
                  ),
              },
              map_output_pin_spec={
                  0: PinSpecification(
                      name="field",
                      type_names=["field"],
                      optional=False,
                      document="""Field defined on over-all location, contains
          a unique scalar value""",
                  ),
              },
          )
          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="native::overall_dot", server=server)
  
      @property
      def inputs(self):
          """Enables to connect inputs to the operator
  
          Returns
          --------
          inputs : InputsOverallDot
          """
          return super().inputs
  
      @property
      def outputs(self):
          """Enables to get outputs of the operator by evaluationg it
  
          Returns
          --------
          outputs : OutputsOverallDot
          """
          return super().outputs
  
  
  class InputsOverallDot(_Inputs):
      """Intermediate class used to connect user inputs to
      overall_dot operator.
  
      Examples
      --------
      >>> from ansys.dpf import core as dpf
      >>> op = dpf.operators.math.overall_dot()
      >>> my_fieldA = dpf.Field()
      >>> op.inputs.fieldA.connect(my_fieldA)
      >>> my_fieldB = dpf.Field()
      >>> op.inputs.fieldB.connect(my_fieldB)
      """
  
      def __init__(self, op: Operator):
          super().__init__(overall_dot._spec().inputs, op)
          self._fieldA = Input(overall_dot._spec().input_pin(0), 0, op, -1)
          self._inputs.append(self._fieldA)
          self._fieldB = Input(overall_dot._spec().input_pin(1), 1, op, -1)
          self._inputs.append(self._fieldB)
  
      @property
      def fieldA(self):
          """Allows to connect fieldA input to the operator.
  
          Parameters
          ----------
          my_fieldA : Field
  
          Examples
          --------
          >>> from ansys.dpf import core as dpf
          >>> op = dpf.operators.math.overall_dot()
          >>> op.inputs.fieldA.connect(my_fieldA)
          >>> # or
          >>> op.inputs.fieldA(my_fieldA)
          """
          return self._fieldA
  
      @property
      def fieldB(self):
          """Allows to connect fieldB input to the operator.
  
          Parameters
          ----------
          my_fieldB : Field
  
          Examples
          --------
          >>> from ansys.dpf import core as dpf
          >>> op = dpf.operators.math.overall_dot()
          >>> op.inputs.fieldB.connect(my_fieldB)
          >>> # or
          >>> op.inputs.fieldB(my_fieldB)
          """
          return self._fieldB
  
  
  class OutputsOverallDot(_Outputs):
      """Intermediate class used to get outputs from
      overall_dot operator.
  
      Examples
      --------
      >>> from ansys.dpf import core as dpf
      >>> op = dpf.operators.math.overall_dot()
      >>> # Connect inputs : op.inputs. ...
      >>> result_field = op.outputs.field()
      """
  
      def __init__(self, op: Operator):
          super().__init__(overall_dot._spec().outputs, op)
          self._field = Output(overall_dot._spec().output_pin(0), 0, op)
          self._outputs.append(self._field)
  
      @property
      def field(self):
          """Allows to get field output of the operator
  
          Returns
          ----------
          my_field : Field
  
          Examples
          --------
          >>> from ansys.dpf import core as dpf
          >>> op = dpf.operators.math.overall_dot()
          >>> # Connect inputs : op.inputs. ...
          >>> result_field = op.outputs.field()
          """  # noqa: E501
          return self._field
  