Do calculate amplitude.
diff --git a/src/ansys/dpf/core/operators/utility/__init__.py b/src/ansys/dpf/core/operators/utility/__init__.py
index cbb88477949..b54711d50b5 100644
--- a/src/ansys/dpf/core/operators/utility/__init__.py
+++ b/src/ansys/dpf/core/operators/utility/__init__.py
@@ -7,6 +7,7 @@
from .change_location import change_location
from .change_shell_layers import change_shell_layers
from .compute_time_scoping import compute_time_scoping
+from .customtypefield_get_attribute import customtypefield_get_attribute
from .default_value import default_value
from .delegate_to_operator import delegate_to_operator
from .ds_get_attribute import ds_get_attribute
@@ -64,6 +65,7 @@
from .overlap_fields import overlap_fields
from .producer_consumer_for_each import producer_consumer_for_each
from .property_field import property_field
+from .propertyfield_get_attribute import propertyfield_get_attribute
from .python_generator import python_generator
from .remote_operator_instantiate import remote_operator_instantiate
from .remote_workflow_instantiate import remote_workflow_instantiate
diff --git a/src/ansys/dpf/core/operators/utility/customtypefield_get_attribute.py b/src/ansys/dpf/core/operators/utility/customtypefield_get_attribute.py
new file mode 100644
index 00000000000..253272cc7de
--- /dev/null
+++ b/src/ansys/dpf/core/operators/utility/customtypefield_get_attribute.py
@@ -0,0 +1,252 @@
+"""
+customtypefield_get_attribute
+
+Autogenerated DPF operator classes.
+"""
+
+from __future__ import annotations
+
+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.outputs import _modify_output_spec_with_one_type
+from ansys.dpf.core.operators.specification import PinSpecification, Specification
+from ansys.dpf.core.config import Config
+from ansys.dpf.core.server_types import AnyServerType
+
+
+class customtypefield_get_attribute(Operator):
+ r"""A CustomTypeField in pin 0 and a property name (string) in pin 1 are
+ expected in input.
+
+
+ Parameters
+ ----------
+ custom_type_field: CustomTypeField
+ property_name: str
+ Accepted inputs are: 'time_freq_support', 'scoping' and 'header'.
+
+ Returns
+ -------
+ property: TimeFreqSupport or Scoping or DataTree
+ Property value.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+
+ >>> # Instantiate operator
+ >>> op = dpf.operators.utility.customtypefield_get_attribute()
+
+ >>> # Make input connections
+ >>> my_custom_type_field = dpf.CustomTypeField()
+ >>> op.inputs.custom_type_field.connect(my_custom_type_field)
+ >>> my_property_name = str()
+ >>> op.inputs.property_name.connect(my_property_name)
+
+ >>> # Instantiate operator and connect inputs in one line
+ >>> op = dpf.operators.utility.customtypefield_get_attribute(
+ ... custom_type_field=my_custom_type_field,
+ ... property_name=my_property_name,
+ ... )
+
+ >>> # Get output data
+ >>> result_property = op.outputs.property()
+ """
+
+ def __init__(
+ self, custom_type_field=None, property_name=None, config=None, server=None
+ ):
+ super().__init__(
+ name="customtypefield::get_attribute", config=config, server=server
+ )
+ self._inputs = InputsCustomtypefieldGetAttribute(self)
+ self._outputs = OutputsCustomtypefieldGetAttribute(self)
+ if custom_type_field is not None:
+ self.inputs.custom_type_field.connect(custom_type_field)
+ if property_name is not None:
+ self.inputs.property_name.connect(property_name)
+
+ @staticmethod
+ def _spec() -> Specification:
+ description = r"""A CustomTypeField in pin 0 and a property name (string) in pin 1 are
+expected in input.
+"""
+ spec = Specification(
+ description=description,
+ map_input_pin_spec={
+ 0: PinSpecification(
+ name="custom_type_field",
+ type_names=["custom_type_field"],
+ optional=False,
+ document=r"""""",
+ ),
+ 1: PinSpecification(
+ name="property_name",
+ type_names=["string"],
+ optional=False,
+ document=r"""Accepted inputs are: 'time_freq_support', 'scoping' and 'header'.""",
+ ),
+ },
+ map_output_pin_spec={
+ 0: PinSpecification(
+ name="property",
+ type_names=["time_freq_support", "scoping", "abstract_data_tree"],
+ optional=False,
+ document=r"""Property value.""",
+ ),
+ },
+ )
+ return spec
+
+ @staticmethod
+ def default_config(server: AnyServerType = None) -> Config:
+ """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 with channel connected to the remote or local instance. When
+ ``None``, attempts to use the global server.
+
+ Returns
+ -------
+ config:
+ A new Config instance equivalent to the default config for this operator.
+ """
+ return Operator.default_config(
+ name="customtypefield::get_attribute", server=server
+ )
+
+ @property
+ def inputs(self) -> InputsCustomtypefieldGetAttribute:
+ """Enables to connect inputs to the operator
+
+ Returns
+ --------
+ inputs:
+ An instance of InputsCustomtypefieldGetAttribute.
+ """
+ return super().inputs
+
+ @property
+ def outputs(self) -> OutputsCustomtypefieldGetAttribute:
+ """Enables to get outputs of the operator by evaluating it
+
+ Returns
+ --------
+ outputs:
+ An instance of OutputsCustomtypefieldGetAttribute.
+ """
+ return super().outputs
+
+
+class InputsCustomtypefieldGetAttribute(_Inputs):
+ """Intermediate class used to connect user inputs to
+ customtypefield_get_attribute operator.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.utility.customtypefield_get_attribute()
+ >>> my_custom_type_field = dpf.CustomTypeField()
+ >>> op.inputs.custom_type_field.connect(my_custom_type_field)
+ >>> my_property_name = str()
+ >>> op.inputs.property_name.connect(my_property_name)
+ """
+
+ def __init__(self, op: Operator):
+ super().__init__(customtypefield_get_attribute._spec().inputs, op)
+ self._custom_type_field = Input(
+ customtypefield_get_attribute._spec().input_pin(0), 0, op, -1
+ )
+ self._inputs.append(self._custom_type_field)
+ self._property_name = Input(
+ customtypefield_get_attribute._spec().input_pin(1), 1, op, -1
+ )
+ self._inputs.append(self._property_name)
+
+ @property
+ def custom_type_field(self) -> Input:
+ r"""Allows to connect custom_type_field input to the operator.
+
+ Returns
+ -------
+ input:
+ An Input instance for this pin.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.utility.customtypefield_get_attribute()
+ >>> op.inputs.custom_type_field.connect(my_custom_type_field)
+ >>> # or
+ >>> op.inputs.custom_type_field(my_custom_type_field)
+ """
+ return self._custom_type_field
+
+ @property
+ def property_name(self) -> Input:
+ r"""Allows to connect property_name input to the operator.
+
+ Accepted inputs are: 'time_freq_support', 'scoping' and 'header'.
+
+ Returns
+ -------
+ input:
+ An Input instance for this pin.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.utility.customtypefield_get_attribute()
+ >>> op.inputs.property_name.connect(my_property_name)
+ >>> # or
+ >>> op.inputs.property_name(my_property_name)
+ """
+ return self._property_name
+
+
+class OutputsCustomtypefieldGetAttribute(_Outputs):
+ """Intermediate class used to get outputs from
+ customtypefield_get_attribute operator.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.utility.customtypefield_get_attribute()
+ >>> # Connect inputs : op.inputs. ...
+ >>> result_property = op.outputs.property()
+ """
+
+ def __init__(self, op: Operator):
+ super().__init__(customtypefield_get_attribute._spec().outputs, op)
+ self.property_as_time_freq_support = Output(
+ _modify_output_spec_with_one_type(
+ customtypefield_get_attribute._spec().output_pin(0), "time_freq_support"
+ ),
+ 0,
+ op,
+ )
+ self._outputs.append(self.property_as_time_freq_support)
+ self.property_as_scoping = Output(
+ _modify_output_spec_with_one_type(
+ customtypefield_get_attribute._spec().output_pin(0), "scoping"
+ ),
+ 0,
+ op,
+ )
+ self._outputs.append(self.property_as_scoping)
+ self.property_as_data_tree = Output(
+ _modify_output_spec_with_one_type(
+ customtypefield_get_attribute._spec().output_pin(0), "data_tree"
+ ),
+ 0,
+ op,
+ )
+ self._outputs.append(self.property_as_data_tree)
diff --git a/src/ansys/dpf/core/operators/utility/field_get_attribute.py b/src/ansys/dpf/core/operators/utility/field_get_attribute.py
index 1a09da36621..958e24fbf98 100644
--- a/src/ansys/dpf/core/operators/utility/field_get_attribute.py
+++ b/src/ansys/dpf/core/operators/utility/field_get_attribute.py
@@ -25,11 +25,11 @@ class field_get_attribute(Operator):
----------
field: Field
property_name: str
- Accepted inputs are: 'time_freq_support' and 'scoping'.
+ Accepted inputs are: 'time_freq_support', 'scoping' and 'header'.
Returns
-------
- property: TimeFreqSupport or Scoping
+ property: TimeFreqSupport or Scoping or DataTree
Property value.
Examples
@@ -82,13 +82,13 @@ def _spec() -> Specification:
name="property_name",
type_names=["string"],
optional=False,
- document=r"""Accepted inputs are: 'time_freq_support' and 'scoping'.""",
+ document=r"""Accepted inputs are: 'time_freq_support', 'scoping' and 'header'.""",
),
},
map_output_pin_spec={
0: PinSpecification(
name="property",
- type_names=["time_freq_support", "scoping"],
+ type_names=["time_freq_support", "scoping", "abstract_data_tree"],
optional=False,
document=r"""Property value.""",
),
@@ -184,7 +184,7 @@ def field(self) -> Input:
def property_name(self) -> Input:
r"""Allows to connect property_name input to the operator.
- Accepted inputs are: 'time_freq_support' and 'scoping'.
+ Accepted inputs are: 'time_freq_support', 'scoping' and 'header'.
Returns
-------
@@ -232,3 +232,11 @@ def __init__(self, op: Operator):
op,
)
self._outputs.append(self.property_as_scoping)
+ self.property_as_data_tree = Output(
+ _modify_output_spec_with_one_type(
+ field_get_attribute._spec().output_pin(0), "data_tree"
+ ),
+ 0,
+ op,
+ )
+ self._outputs.append(self.property_as_data_tree)
diff --git a/src/ansys/dpf/core/operators/utility/propertyfield_get_attribute.py b/src/ansys/dpf/core/operators/utility/propertyfield_get_attribute.py
new file mode 100644
index 00000000000..f45c8787e56
--- /dev/null
+++ b/src/ansys/dpf/core/operators/utility/propertyfield_get_attribute.py
@@ -0,0 +1,252 @@
+"""
+propertyfield_get_attribute
+
+Autogenerated DPF operator classes.
+"""
+
+from __future__ import annotations
+
+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.outputs import _modify_output_spec_with_one_type
+from ansys.dpf.core.operators.specification import PinSpecification, Specification
+from ansys.dpf.core.config import Config
+from ansys.dpf.core.server_types import AnyServerType
+
+
+class propertyfield_get_attribute(Operator):
+ r"""A PropertyField in pin 0 and a property name (string) in pin 1 are
+ expected in input.
+
+
+ Parameters
+ ----------
+ property_field: PropertyField
+ property_name: str
+ Accepted inputs are: 'time_freq_support', 'scoping' and 'header'.
+
+ Returns
+ -------
+ property: TimeFreqSupport or Scoping or DataTree
+ Property value.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+
+ >>> # Instantiate operator
+ >>> op = dpf.operators.utility.propertyfield_get_attribute()
+
+ >>> # Make input connections
+ >>> my_property_field = dpf.PropertyField()
+ >>> op.inputs.property_field.connect(my_property_field)
+ >>> my_property_name = str()
+ >>> op.inputs.property_name.connect(my_property_name)
+
+ >>> # Instantiate operator and connect inputs in one line
+ >>> op = dpf.operators.utility.propertyfield_get_attribute(
+ ... property_field=my_property_field,
+ ... property_name=my_property_name,
+ ... )
+
+ >>> # Get output data
+ >>> result_property = op.outputs.property()
+ """
+
+ def __init__(
+ self, property_field=None, property_name=None, config=None, server=None
+ ):
+ super().__init__(
+ name="propertyfield::get_attribute", config=config, server=server
+ )
+ self._inputs = InputsPropertyfieldGetAttribute(self)
+ self._outputs = OutputsPropertyfieldGetAttribute(self)
+ if property_field is not None:
+ self.inputs.property_field.connect(property_field)
+ if property_name is not None:
+ self.inputs.property_name.connect(property_name)
+
+ @staticmethod
+ def _spec() -> Specification:
+ description = r"""A PropertyField in pin 0 and a property name (string) in pin 1 are
+expected in input.
+"""
+ spec = Specification(
+ description=description,
+ map_input_pin_spec={
+ 0: PinSpecification(
+ name="property_field",
+ type_names=["property_field"],
+ optional=False,
+ document=r"""""",
+ ),
+ 1: PinSpecification(
+ name="property_name",
+ type_names=["string"],
+ optional=False,
+ document=r"""Accepted inputs are: 'time_freq_support', 'scoping' and 'header'.""",
+ ),
+ },
+ map_output_pin_spec={
+ 0: PinSpecification(
+ name="property",
+ type_names=["time_freq_support", "scoping", "abstract_data_tree"],
+ optional=False,
+ document=r"""Property value.""",
+ ),
+ },
+ )
+ return spec
+
+ @staticmethod
+ def default_config(server: AnyServerType = None) -> Config:
+ """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 with channel connected to the remote or local instance. When
+ ``None``, attempts to use the global server.
+
+ Returns
+ -------
+ config:
+ A new Config instance equivalent to the default config for this operator.
+ """
+ return Operator.default_config(
+ name="propertyfield::get_attribute", server=server
+ )
+
+ @property
+ def inputs(self) -> InputsPropertyfieldGetAttribute:
+ """Enables to connect inputs to the operator
+
+ Returns
+ --------
+ inputs:
+ An instance of InputsPropertyfieldGetAttribute.
+ """
+ return super().inputs
+
+ @property
+ def outputs(self) -> OutputsPropertyfieldGetAttribute:
+ """Enables to get outputs of the operator by evaluating it
+
+ Returns
+ --------
+ outputs:
+ An instance of OutputsPropertyfieldGetAttribute.
+ """
+ return super().outputs
+
+
+class InputsPropertyfieldGetAttribute(_Inputs):
+ """Intermediate class used to connect user inputs to
+ propertyfield_get_attribute operator.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.utility.propertyfield_get_attribute()
+ >>> my_property_field = dpf.PropertyField()
+ >>> op.inputs.property_field.connect(my_property_field)
+ >>> my_property_name = str()
+ >>> op.inputs.property_name.connect(my_property_name)
+ """
+
+ def __init__(self, op: Operator):
+ super().__init__(propertyfield_get_attribute._spec().inputs, op)
+ self._property_field = Input(
+ propertyfield_get_attribute._spec().input_pin(0), 0, op, -1
+ )
+ self._inputs.append(self._property_field)
+ self._property_name = Input(
+ propertyfield_get_attribute._spec().input_pin(1), 1, op, -1
+ )
+ self._inputs.append(self._property_name)
+
+ @property
+ def property_field(self) -> Input:
+ r"""Allows to connect property_field input to the operator.
+
+ Returns
+ -------
+ input:
+ An Input instance for this pin.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.utility.propertyfield_get_attribute()
+ >>> op.inputs.property_field.connect(my_property_field)
+ >>> # or
+ >>> op.inputs.property_field(my_property_field)
+ """
+ return self._property_field
+
+ @property
+ def property_name(self) -> Input:
+ r"""Allows to connect property_name input to the operator.
+
+ Accepted inputs are: 'time_freq_support', 'scoping' and 'header'.
+
+ Returns
+ -------
+ input:
+ An Input instance for this pin.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.utility.propertyfield_get_attribute()
+ >>> op.inputs.property_name.connect(my_property_name)
+ >>> # or
+ >>> op.inputs.property_name(my_property_name)
+ """
+ return self._property_name
+
+
+class OutputsPropertyfieldGetAttribute(_Outputs):
+ """Intermediate class used to get outputs from
+ propertyfield_get_attribute operator.
+
+ Examples
+ --------
+ >>> from ansys.dpf import core as dpf
+ >>> op = dpf.operators.utility.propertyfield_get_attribute()
+ >>> # Connect inputs : op.inputs. ...
+ >>> result_property = op.outputs.property()
+ """
+
+ def __init__(self, op: Operator):
+ super().__init__(propertyfield_get_attribute._spec().outputs, op)
+ self.property_as_time_freq_support = Output(
+ _modify_output_spec_with_one_type(
+ propertyfield_get_attribute._spec().output_pin(0), "time_freq_support"
+ ),
+ 0,
+ op,
+ )
+ self._outputs.append(self.property_as_time_freq_support)
+ self.property_as_scoping = Output(
+ _modify_output_spec_with_one_type(
+ propertyfield_get_attribute._spec().output_pin(0), "scoping"
+ ),
+ 0,
+ op,
+ )
+ self._outputs.append(self.property_as_scoping)
+ self.property_as_data_tree = Output(
+ _modify_output_spec_with_one_type(
+ propertyfield_get_attribute._spec().output_pin(0), "data_tree"
+ ),
+ 0,
+ op,
+ )
+ self._outputs.append(self.property_as_data_tree)
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