gemseo.core.discipline.data_processor module
The data conversion processors.
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class ComplexDataProcessor[source]
Bases: DataProcessor
Data preprocessor to convert complex arrays to float arrays back and forth.
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post_process_data(data)[source]
Execute a post-processing of the output data.
- Parameters:
data (StrKeyMapping) -- The data to process.
- Returns:
The processed data.
- Return type:
MutableStrKeyMapping
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pre_process_data(data)[source]
Pre-process data.
- Parameters:
data (StrKeyMapping) -- The data to process.
- Returns:
The processed data.
- Return type:
MutableStrKeyMapping
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class DataProcessor[source]
Bases: object
Base class for pre- and post-processing data.
This is useful to cast the data types, since the GEMSEO kernel only handles numpy
arrays, and interfaces to disciplinary tools, workflow engines or environment can
require different types.
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abstract post_process_data(data)[source]
Execute a post-processing of the output data.
- Parameters:
data (StrKeyMapping) -- The data to process.
- Returns:
The processed data.
- Return type:
MutableStrKeyMapping
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abstract pre_process_data(data)[source]
Pre-process data.
- Parameters:
data (StrKeyMapping) -- The data to process.
- Returns:
The processed data.
- Return type:
MutableStrKeyMapping
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class FloatDataProcessor[source]
Bases: DataProcessor
A data preprocessor that converts all scalar input data to floats.
It converts all discipline output data to numpy arrays
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post_process_data(data)[source]
Execute a post-processing of the output data.
- Parameters:
data (StrKeyMapping) -- The data to process.
- Returns:
The processed data.
- Return type:
MutableStrKeyMapping
-
pre_process_data(data)[source]
Pre-process data.
- Parameters:
data (StrKeyMapping) -- The data to process.
- Returns:
The processed data.
- Return type:
MutableStrKeyMapping
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class NameMapping(mapping)[source]
Bases: DataProcessor
A data preprocessor to map process level names to local discipline names.
Initialize self. See help(type(self)) for accurate signature.
- Parameters:
mapping (Mapping[str, str]) -- A mapping structure of the form {global_name: local_name}
where global_name must be consistent
with the grammar of the discipline.
The local name is the data provided
to the Discipline._run() method.
When missing,
the global name is the local name.
-
post_process_data(data)[source]
Execute a post-processing of the output data.
- Parameters:
data (StrKeyMapping) -- The data to process.
- Returns:
The processed data.
- Return type:
MutableStrKeyMapping
-
pre_process_data(data)[source]
Pre-process data.
- Parameters:
data (StrKeyMapping) -- The data to process.
- Returns:
The processed data.
- Return type:
MutableStrKeyMapping
-
mapping: Mapping[str, str]
The mapping structure of the form {global_name: local_name}.
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reverse_mapping: Mapping[str, str]
The reverse mapping structure of the form {local_name: global_name}.
