cyclic_support_provider#

Autogenerated DPF operator classes.

class ansys.dpf.core.operators.metadata.cyclic_support_provider.cyclic_support_provider(streams_container=None, data_sources=None, sector_meshed_region=None, expanded_meshed_region=None, sectors_to_expand=None, config=None, server=None)#

Read the cyclic support (DPF entity containing necessary information for expansions) and expands the mesh.

Parameters

streams_container (StreamsContainer, optional) – Streams containing the result file.
data_sources (DataSources) – Data sources containing the result file.
sector_meshed_region (MeshedRegion or MeshesContainer, optional) – Mesh of the first sector.
expanded_meshed_region (MeshedRegion or MeshesContainer, optional) – If this pin is set, expanding the mesh is not necessary.
sectors_to_expand (Scoping or ScopingsContainer, optional) – Sectors to expand (start at 0), for multistage: use scopings container with ‘stage’ label.

Examples

>>> from ansys.dpf import core as dpf

>>> # Instantiate operator
>>> op = dpf.operators.metadata.cyclic_support_provider()

>>> # Make input connections
>>> 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_sector_meshed_region = dpf.MeshedRegion()
>>> op.inputs.sector_meshed_region.connect(my_sector_meshed_region)
>>> my_expanded_meshed_region = dpf.MeshedRegion()
>>> op.inputs.expanded_meshed_region.connect(my_expanded_meshed_region)
>>> my_sectors_to_expand = dpf.Scoping()
>>> op.inputs.sectors_to_expand.connect(my_sectors_to_expand)

>>> # Instantiate operator and connect inputs in one line
>>> op = dpf.operators.metadata.cyclic_support_provider(
...     streams_container=my_streams_container,
...     data_sources=my_data_sources,
...     sector_meshed_region=my_sector_meshed_region,
...     expanded_meshed_region=my_expanded_meshed_region,
...     sectors_to_expand=my_sectors_to_expand,
... )

>>> # Get output data
>>> result_cyclic_support = op.outputs.cyclic_support()
>>> result_sector_meshes = op.outputs.sector_meshes()

static 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.

property inputs#

Enables to connect inputs to the operator

Returns: inputs
Return type: InputsCyclicSupportProvider

property outputs#

Enables to get outputs of the operator by evaluationg it

Returns: outputs
Return type: OutputsCyclicSupportProvider

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

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 ]])

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()

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

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

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

run()#: Evaluate this operator.

class ansys.dpf.core.operators.metadata.cyclic_support_provider.InputsCyclicSupportProvider(op: ansys.dpf.core.dpf_operator.Operator)#

Intermediate class used to connect user inputs to cyclic_support_provider operator.

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.metadata.cyclic_support_provider()
>>> 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_sector_meshed_region = dpf.MeshedRegion()
>>> op.inputs.sector_meshed_region.connect(my_sector_meshed_region)
>>> my_expanded_meshed_region = dpf.MeshedRegion()
>>> op.inputs.expanded_meshed_region.connect(my_expanded_meshed_region)
>>> my_sectors_to_expand = dpf.Scoping()
>>> op.inputs.sectors_to_expand.connect(my_sectors_to_expand)

property streams_container#

Allows to connect streams_container input to the operator.

Streams containing the result file.

Parameters: my_streams_container (StreamsContainer) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.metadata.cyclic_support_provider()
>>> op.inputs.streams_container.connect(my_streams_container)
>>> # or
>>> op.inputs.streams_container(my_streams_container)

property data_sources#

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.metadata.cyclic_support_provider()
>>> op.inputs.data_sources.connect(my_data_sources)
>>> # or
>>> op.inputs.data_sources(my_data_sources)

property sector_meshed_region#

Allows to connect sector_meshed_region input to the operator.

Mesh of the first sector.

Parameters: my_sector_meshed_region (MeshedRegion or MeshesContainer) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.metadata.cyclic_support_provider()
>>> op.inputs.sector_meshed_region.connect(my_sector_meshed_region)
>>> # or
>>> op.inputs.sector_meshed_region(my_sector_meshed_region)

property expanded_meshed_region#

Allows to connect expanded_meshed_region input to the operator.

If this pin is set, expanding the mesh is not necessary.

Parameters: my_expanded_meshed_region (MeshedRegion or MeshesContainer) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.metadata.cyclic_support_provider()
>>> op.inputs.expanded_meshed_region.connect(my_expanded_meshed_region)
>>> # or
>>> op.inputs.expanded_meshed_region(my_expanded_meshed_region)

property sectors_to_expand#

Allows to connect sectors_to_expand input to the operator.

Sectors to expand (start at 0), for multistage: use scopings container with ‘stage’ label.

Parameters: my_sectors_to_expand (Scoping or ScopingsContainer) –

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.metadata.cyclic_support_provider()
>>> op.inputs.sectors_to_expand.connect(my_sectors_to_expand)
>>> # or
>>> op.inputs.sectors_to_expand(my_sectors_to_expand)

connect(inpt)#

Connect any input (an entity or an operator output) to any input pin of this operator.

Searches for the input type corresponding to the output.

Parameters

inpt (str, int, double, Field, FieldsContainer, Scoping,) –

DataSources, MeshedRegion, ScopingsContainer, CyclicSupport,: …, Output, Outputs, Operator, os.PathLike

Input of the operator.

class ansys.dpf.core.operators.metadata.cyclic_support_provider.OutputsCyclicSupportProvider(op: ansys.dpf.core.dpf_operator.Operator)#

Intermediate class used to get outputs from cyclic_support_provider operator.

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.metadata.cyclic_support_provider()
>>> # Connect inputs : op.inputs. ...
>>> result_cyclic_support = op.outputs.cyclic_support()
>>> result_sector_meshes = op.outputs.sector_meshes()

property cyclic_support#

Allows to get cyclic_support output of the operator

Returns: my_cyclic_support
Return type: CyclicSupport

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.metadata.cyclic_support_provider()
>>> # Connect inputs : op.inputs. ...
>>> result_cyclic_support = op.outputs.cyclic_support()

property sector_meshes#

Allows to get sector_meshes output of the operator

Returns: my_sector_meshes
Return type: MeshesContainer

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.metadata.cyclic_support_provider()
>>> # Connect inputs : op.inputs. ...
>>> result_sector_meshes = op.outputs.sector_meshes()