InputsAccumulate
#
- class ansys.dpf.core.operators.math.accumulate.InputsAccumulate(op: ansys.dpf.core.dpf_operator.Operator)#
Bases:
ansys.dpf.core.inputs._Inputs
Intermediate class used to connect user inputs to accumulate operator.
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.math.accumulate() >>> my_fieldA = dpf.Field() >>> op.inputs.fieldA.connect(my_fieldA) >>> my_ponderation = dpf.Field() >>> op.inputs.ponderation.connect(my_ponderation) >>> my_time_scoping = dpf.Scoping() >>> op.inputs.time_scoping.connect(my_time_scoping)
Overview#
Allows to connect fieldA input to the operator. |
|
Allows to connect ponderation input to the operator. |
|
Allows to connect time_scoping input to the operator. |
Import detail#
from ansys.dpf.core.operators.math.accumulate import InputsAccumulate
Property detail#
- property InputsAccumulate.fieldA#
Allows to connect fieldA input to the operator.
Field or fields container with only one field is expected
- Parameters:
my_fieldA (Field or FieldsContainer)
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.math.accumulate() >>> op.inputs.fieldA.connect(my_fieldA) >>> # or >>> op.inputs.fieldA(my_fieldA)
- property InputsAccumulate.ponderation#
Allows to connect ponderation input to the operator.
Field containing weights, one weight per entity
- Parameters:
my_ponderation (Field)
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.math.accumulate() >>> op.inputs.ponderation.connect(my_ponderation) >>> # or >>> op.inputs.ponderation(my_ponderation)
- property InputsAccumulate.time_scoping#
Allows to connect time_scoping input to the operator.
Time_scoping
- Parameters:
my_time_scoping (Scoping)
Examples
>>> from ansys.dpf import core as dpf >>> op = dpf.operators.math.accumulate() >>> op.inputs.time_scoping.connect(my_time_scoping) >>> # or >>> op.inputs.time_scoping(my_time_scoping)