Operator#

Provides an interface to the underlying gRPC operator.

class ansys.dpf.core.dpf_operator.Operator(name, config=None, server=None)#

Represents an operator, which is an elementary operation.

The operator is the only object used to create and transform data. When the operator is evaluated, it processes the input information to compute its output with respect to its description.

Parameters

name (str) – Name of the operator. For example, "U". You can use the "html_doc" operator to retrieve a list of existing operators.
config (Config, optional) – The Configuration allows to customize how the operation will be processed by the operator. The default is None.
server (server.DPFServer, optional) – Server with the channel connected to the remote or local instance. The default is None, in which case an attempt is made to use the global server.

Examples

Create an operator from the library of operators.

>>> from ansys.dpf import core as dpf
>>> disp_oper = dpf.operators.result.displacement()

Create an operator from a model.

>>> from ansys.dpf.core import Model
>>> from ansys.dpf.core import examples
>>> model = Model(examples.static_rst)
>>> disp_oper = model.results.displacement()

property progress_bar: bool#: With this property, the user can choose to print a progress bar when the operator’s output is requested, default is False

connect(pin, inpt, pin_out=0)#

Connect an input on the operator using a pin number.

Parameters

pin (int) – Number of the input pin.
inpt (str, int, double, bool, list of int, list of doubles,) –

Field, FieldsContainer, Scoping, ScopingsContainer, MeshedRegion,
MeshesContainer, DataSources, Operator, os.PathLike

Object to connect to.
pin_out (int, optional) – If the input is an operator, the output pin of the input operator. The default is 0.

Examples

Compute the minimum of displacement by chaining the "U" and "min_max_fc" operators.

>>> from ansys.dpf import core as dpf
>>> from ansys.dpf.core import examples
>>> data_src = dpf.DataSources(examples.multishells_rst)
>>> disp_op = dpf.operators.result.displacement()
>>> disp_op.inputs.data_sources(data_src)
>>> max_fc_op = dpf.operators.min_max.min_max_fc()
>>> max_fc_op.inputs.connect(disp_op.outputs)
>>> max_field = max_fc_op.outputs.field_max()
>>> max_field.data
array([[0.59428386, 0.00201751, 0.0006032 ]])

get_output(pin=0, output_type=None)#

Retrieve the output of the operator on the pin number.

To activate the progress bar for server version higher or equal to 3.0, use my_op.progress_bar=True

Parameters

pin (int, optional) – Number of the output pin. The default is 0.
output_type (ansys.dpf.core.common.types, optional) – Requested type of the output. The default is None.

Returns

Output of the operator.

Return type

type

property config#

Copy of the operator’s current configuration.

You can modify the copy of the configuration and then use operator.config = new_config or create an operator with the new configuration as a parameter.

Returns: Copy of the operator’s current configuration.
Return type: ansys.dpf.core.config.Config

property inputs#

Inputs connected to the operator.

Returns: Inputs connected to the operator.
Return type: ansys.dpf.core.inputs

Examples

Use the displacement operator.

>>> from ansys.dpf import core as dpf
>>> from ansys.dpf.core import examples
>>> data_src = dpf.DataSources(examples.multishells_rst)
>>> disp_op = dpf.operators.result.displacement()
>>> disp_op.inputs.data_sources(data_src)

property outputs#

Outputs from the operator’s evaluation.

Returns: Outputs from the operator’s evaluation.
Return type: ansys.dpf.core.outputs

Examples

Use the displacement operator.

>>> from ansys.dpf import core as dpf
>>> from ansys.dpf.core import examples
>>> data_src = dpf.DataSources(examples.multishells_rst)
>>> disp_op = dpf.operators.result.displacement()
>>> disp_op.inputs.data_sources(data_src)
>>> disp_fc = disp_op.outputs.fields_container()

static default_config(name, server=None)#

Retrieve the default configuration for an operator.

You can change the copy of the default configuration to meet your needs before instantiating the operator. The Configuration allows to customize how the operation will be processed by the operator.

Parameters

name (str) – Name of the operator. For example "U". You can use the "html_doc" operator to retrieve a list of existing operators.
server (server.DPFServer, optional) – Server with the channel connected to the remote or local instance. The default is None, in which case an attempt is made to use the global server.

Returns

Default configuration for the operator.

Return type

class”ansys.dpf.core.config.Config

run()#: Evaluate this operator.

eval(pin=None)#

Evaluate this operator.

Parameters: pin (int) – Number of the output pin. The default is None.
Returns: output – Returns the first output of the operator by default and the output of a given pin when specified. Or, it only evaluates the operator without output.
Return type: FieldsContainer, Field, MeshedRegion, Scoping

Examples

Use the eval method.

>>> from ansys.dpf import core as dpf
>>> import ansys.dpf.core.operators.math as math
>>> from ansys.dpf.core import examples
>>> data_src = dpf.DataSources(examples.multishells_rst)
>>> disp_op = dpf.operators.result.displacement()
>>> disp_op.inputs.data_sources(data_src)
>>> normfc = math.norm_fc(disp_op).eval()

static operator_specification(op_name, server=None)#: Put the grpc spec message in self._spec

class ansys.dpf.core.dpf_operator.PinSpecification(name, type_names, optional, document, ellipsis)#

name: str#: Alias for field number 0

type_names: list#: Alias for field number 1

optional: bool#: Alias for field number 2

document: str#: Alias for field number 3

ellipsis: bool#: Alias for field number 4

count(value, /)#: Return number of occurrences of value.

index(value, start=0, stop=9223372036854775807, /)#

Return first index of value.

Raises ValueError if the value is not present.

class ansys.dpf.core.dpf_operator.OperatorSpecification(operator_name, description, properties, inputs, outputs)#

operator_name: str#: Alias for field number 0

description: str#: Alias for field number 1

properties: dict#: Alias for field number 2

inputs: dict#: Alias for field number 3

outputs: dict#: Alias for field number 4

count(value, /)#: Return number of occurrences of value.

index(value, start=0, stop=9223372036854775807, /)#

Return first index of value.

Raises ValueError if the value is not present.

ansys.dpf.core.dpf_operator.available_operator_names(server=None)#

Returns the list of operator names available in the server.

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 type: list