InputsModalAcceleration

class ansys.dpf.core.operators.result.modal_acceleration.InputsModalAcceleration(op: ansys.dpf.core.dpf_operator.Operator)

Bases: ansys.dpf.core.inputs._Inputs

Intermediate class used to connect user inputs to modal_acceleration operator.

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.modal_acceleration()
>>> my_time_scoping = dpf.Scoping()
>>> op.inputs.time_scoping.connect(my_time_scoping)
>>> 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)

Overview

Methods

connect

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

Properties

time_scoping	Allows to connect time_scoping input to the operator.
streams_container	Allows to connect streams_container input to the operator.
data_sources	Allows to connect data_sources input to the operator.

Special methods

__str__
__call__
__getitem__

Import detail

from ansys.dpf.core.operators.result.modal_acceleration import InputsModalAcceleration

Property detail

property InputsModalAcceleration.time_scoping: ansys.dpf.core.inputs.Input[ansys.dpf.core.scoping.Scoping | int | float | ansys.dpf.core.field.Field]

Allows to connect time_scoping input to the operator.

time/freq values (use doubles or field), time/freq set ids (use ints or scoping) or time/freq step ids (use scoping with TimeFreq_steps location) required in output. To specify time/freq values at specific load steps, put a Field (and not a list) in input with a scoping located on “TimeFreq_steps”. Linear time freq intrapolation is performed if the values are not in the result files and the data at the max time or freq is taken when time/freqs are higher than available time/freqs in result files. To get all data for all time/freq sets, connect an int with value -1.

Returns:

An Input instance for this pin.

Return type:

input

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.modal_acceleration()
>>> op.inputs.time_scoping.connect(my_time_scoping)
>>> # or
>>> op.inputs.time_scoping(my_time_scoping)

property InputsModalAcceleration.streams_container: ansys.dpf.core.inputs.Input[ansys.dpf.core.streams_container.StreamsContainer]

Allows to connect streams_container input to the operator.

result file container allowed to be kept open to cache data

Returns:

An Input instance for this pin.

Return type:

input

Examples

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

property InputsModalAcceleration.data_sources: ansys.dpf.core.inputs.Input[ansys.dpf.core.data_sources.DataSources]

Allows to connect data_sources input to the operator.

result file path container, used if no streams are set

Returns:

An Input instance for this pin.

Return type:

input

Examples

>>> from ansys.dpf import core as dpf
>>> op = dpf.operators.result.modal_acceleration()
>>> op.inputs.data_sources.connect(my_data_sources)
>>> # or
>>> op.inputs.data_sources(my_data_sources)

Method detail

InputsModalAcceleration.__str__()

InputsModalAcceleration.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.

Deprecated since version Deprecated: in favor of explicit output-to-input connections.

InputsModalAcceleration.__call__(inpt)

InputsModalAcceleration.__getitem__(item) → Input