dot
#
- class ansys.dpf.core.operators.math.dot.dot(fieldA=None, fieldB=None, config=None, server=None)#
Bases:
ansys.dpf.core.dpf_operator.Operator
DEPRECATED, PLEASE USE GENERALIZED INNER PRODUCT. Computes element - wise dot product between two vector fields. If one field’s scoping has an ‘overall’ location, then this field’s values are applied on the other field entirely.When using a constant or ‘work_by_index’, you can use ‘inplace’ to reuse one of the fields, but only in the case where both fields are scalar.
- Parameters:
fieldA (Field or FieldsContainer) – Field or fields container with only one field is expected
fieldB (Field or FieldsContainer) – Field or fields container with only one field is expected
- Returns:
field
- Return type:
Examples
>>> from ansys.dpf import core as dpf
>>> # Instantiate operator >>> op = dpf.operators.math.dot()
>>> # Make input connections >>> my_fieldA = dpf.Field() >>> op.inputs.fieldA.connect(my_fieldA) >>> my_fieldB = dpf.Field() >>> op.inputs.fieldB.connect(my_fieldB)
>>> # Instantiate operator and connect inputs in one line >>> op = dpf.operators.math.dot( ... fieldA=my_fieldA, ... fieldB=my_fieldB, ... )
>>> # Get output data >>> result_field = op.outputs.field()
Overview#
Returns the default config of the operator. |
Import detail#
from ansys.dpf.core.operators.math.dot import dot
Property detail#
- property dot.inputs#
Enables to connect inputs to the operator
- Returns:
inputs
- Return type:
- property dot.outputs#
Enables to get outputs of the operator by evaluating it
- Returns:
outputs
- Return type:
Method detail#
- static dot.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 global server.