diff --git a/docs/source/_static/dpf_operators.html b/docs/source/_static/dpf_operators.html
index c0475e28e6..970295ea49 100644
--- a/docs/source/_static/dpf_operators.html
+++ b/docs/source/_static/dpf_operators.html
@@ -2106,7 +2106,7 @@ Configurating operators
Only linear analysis are supported without On Demand Expansion.
All coordinates are global coordinates.
Euler Angles need to be included in the database.
- Get the XZ shear component (02 component).">Inputs
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result: cms dst table provider
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invariant: eigen vectors (on field)
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result: mapdl material properties
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result: mapdl_section
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result: rom data provider
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result: compute invariant terms motion
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result: write motion dfmf file
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result: cyclic expanded element heat flux
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mesh: mesh plan clipper
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mesh: mesh_to_graphics_edges
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serialization: migrate to vtk
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mesh: combine levelset
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mesh: exclude levelset
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mesh: make plane levelset
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mapping: fft
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math: fft gradient evaluation
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math: fft multi harmonic solution minmax
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math: qr solve
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math: svd
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mapping: prep sampling fft
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math: window welch
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serialization: hdf5dpf generate result file
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result: migrate to h5dpf
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utility: hdf5dpf workflow provider
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other: hdf5dpf mesh property provider
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serialization: vtu export
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result: compute total strain Y
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result: cms dst table provider
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result: spectrum data
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invariant: eigen vectors (on field)
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result: mapdl material properties
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result: mapdl_section
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result: rom data provider
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result: compute invariant terms motion
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result: write motion dfmf file
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Scripting
result: cyclic expanded element heat flux
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mesh: mesh plan clipper
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mesh: mesh_to_graphics_edges
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serialization: migrate to vtk
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mesh: combine levelset
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mesh: exclude levelset
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mesh: make plane levelset
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mapping: fft
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math: fft gradient evaluation
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math: fft multi harmonic solution minmax
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math: qr solve
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math: svd
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mapping: prep sampling fft
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math: window welch
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serialization: hdf5dpf generate result file
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result: migrate to h5dpf
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utility: hdf5dpf workflow provider
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other: hdf5dpf mesh property provider
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serialization: vtu export
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result: compute total strain Y
>> from ansys.dpf import core as dpf
+
+ >>> # Instantiate operator
+ >>> op = dpf.operators.result.spectrum_data()
+
+ >>> # Make input connections
+ >>> my_data_sources = dpf.DataSources()
+ >>> op.inputs.data_sources.connect(my_data_sources)
+
+ >>> # Instantiate operator and connect inputs in one line
+ >>> op = dpf.operators.result.spectrum_data(
+ ... data_sources=my_data_sources,
+ ... )
+
+ >>> # Get output data
+ >>> result_participation_factors = op.outputs.participation_factors()
+ """
+
+ def __init__(self, data_sources=None, config=None, server=None):
+ super().__init__(name="spectrum_data", config=config, server=server)
+ self._inputs = InputsSpectrumData(self)
+ self._outputs = OutputsSpectrumData(self)
+ if data_sources is not None:
+ self.inputs.data_sources.connect(data_sources)
+
+ @staticmethod
+ def _spec():
+ description = """Read participation factors from mode file."""
+ spec = Specification(
+ description=description,
+ map_input_pin_spec={
+ 4: PinSpecification(
+ name="data_sources",
+ type_names=["data_sources"],
+ optional=False,
+ document="""Data_sources (must contain at least one mode
+ file).""",
+ ),
+ },
+ map_output_pin_spec={
+ 0: PinSpecification(
+ name="participation_factors",
+ type_names=["fields_container"],
+ optional=False,
+ document="""Fields container containing participation
+ factors.""",
+ ),
+ },
+ )
+ 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="spectrum_data", server=server)
+
+ @property
+ def inputs(self):
+ """Enables to connect inputs to the operator
+
+ Returns
+ --------
+ inputs : InputsSpectrumData
+ """
+ return super().inputs
+
+ @property
+ def outputs(self):
+ """Enables to get outputs of the operator by evaluating it
+
+ Returns
+ --------
+ outputs : OutputsSpectrumData
+ """
+ return super().outputs
+
+
+class InputsSpectrumData(_Inputs):
+ """Intermediate class used to connect user inputs to
+ spectrum_data operator.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.result.spectrum_data()
+ >>> my_data_sources = dpf.DataSources()
+ >>> op.inputs.data_sources.connect(my_data_sources)
+ """
+
+ def __init__(self, op: Operator):
+ super().__init__(spectrum_data._spec().inputs, op)
+ self._data_sources = Input(spectrum_data._spec().input_pin(4), 4, op, -1)
+ self._inputs.append(self._data_sources)
+
+ @property
+ def data_sources(self):
+ """Allows to connect data_sources input to the operator.
+
+ Data_sources (must contain at least one mode
+ file).
+
+ Parameters
+ ----------
+ my_data_sources : DataSources
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.result.spectrum_data()
+ >>> op.inputs.data_sources.connect(my_data_sources)
+ >>> # or
+ >>> op.inputs.data_sources(my_data_sources)
+ """
+ return self._data_sources
+
+
+class OutputsSpectrumData(_Outputs):
+ """Intermediate class used to get outputs from
+ spectrum_data operator.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.result.spectrum_data()
+ >>> # Connect inputs : op.inputs. ...
+ >>> result_participation_factors = op.outputs.participation_factors()
+ """
+
+ def __init__(self, op: Operator):
+ super().__init__(spectrum_data._spec().outputs, op)
+ self._participation_factors = Output(spectrum_data._spec().output_pin(0), 0, op)
+ self._outputs.append(self._participation_factors)
+
+ @property
+ def participation_factors(self):
+ """Allows to get participation_factors output of the operator
+
+ Returns
+ ----------
+ my_participation_factors : FieldsContainer
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.result.spectrum_data()
+ >>> # Connect inputs : op.inputs. ...
+ >>> result_participation_factors = op.outputs.participation_factors()
+ """ # noqa: E501
+ return self._participation_factors
diff --git a/src/ansys/dpf/gatebin/Ans.Dpf.GrpcClient.dll b/src/ansys/dpf/gatebin/Ans.Dpf.GrpcClient.dll
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