src/nupic/regions/record_sensor.py
def _convertNonNumericData(self, spatialOutput, temporalOutput, output):
    """
    Converts all of the non-numeric fields from spatialOutput and temporalOutput
    into their scalar equivalents and records them in the output dictionary.

    :param spatialOutput: The results of topDownCompute() for the spatial input.
    :param temporalOutput: The results of topDownCompute() for the temporal
      input.
    :param output: The main dictionary of outputs passed to compute(). It is
      expected to have keys 'spatialTopDownOut' and 'temporalTopDownOut' that
      are mapped to numpy arrays.
    """
    encoders = self.encoder.getEncoderList()
    types = self.encoder.getDecoderOutputFieldTypes()
    for i, (encoder, type) in enumerate(zip(encoders, types)):
      spatialData = spatialOutput[i]
      temporalData = temporalOutput[i]

      if type != FieldMetaType.integer and type != FieldMetaType.float:
        # TODO: Make sure that this doesn't modify any state
        spatialData = encoder.getScalars(spatialData)[0]
        temporalData = encoder.getScalars(temporalData)[0]

      assert isinstance(spatialData, (float, int))
      assert isinstance(temporalData, (float, int))
      output['spatialTopDownOut'][i] = spatialData
      output['temporalTopDownOut'][i] = temporalData
def _convertNonNumericData(self, spatialOutput, temporalOutput, output):
    """
    Converts all of the non-numeric fields from spatialOutput and temporalOutput
    into their scalar equivalents and records them in the output dictionary.

    :param spatialOutput: The results of topDownCompute() for the spatial input.
    :param temporalOutput: The results of topDownCompute() for the temporal
      input.
    :param output: The main dictionary of outputs passed to compute(). It is
      expected to have keys 'spatialTopDownOut' and 'temporalTopDownOut' that
      are mapped to numpy arrays.
    """
    encoders = self.encoder.getEncoderList()
    types = self.encoder.getDecoderOutputFieldTypes()
    for i, (encoder, type) in enumerate(zip(encoders, types)):
      spatialData = spatialOutput[i]
      temporalData = temporalOutput[i]

      if type != FieldMetaType.integer and type != FieldMetaType.float:
        # TODO: Make sure that this doesn't modify any state
        spatialData = encoder.getScalars(spatialData)[0]
        temporalData = encoder.getScalars(temporalData)[0]

      assert isinstance(spatialData, (float, int))
      assert isinstance(temporalData, (float, int))
      output['spatialTopDownOut'][i] = spatialData
      output['temporalTopDownOut'][i] = temporalData
def _convertNonNumericData ( self , spatialOutput , temporalOutput , output ) : encoders = self . encoder . getEncoderList ( ) types = self . encoder . getDecoderOutputFieldTypes ( ) for i , ( encoder , type ) in enumerate ( zip ( encoders , types ) ) : spatialData = spatialOutput [ i ] temporalData = temporalOutput [ i ] if type != FieldMetaType . integer and type != FieldMetaType . float : # TODO: Make sure that this doesn't modify any state spatialData = encoder . getScalars ( spatialData ) [ 0 ] temporalData = encoder . getScalars ( temporalData ) [ 0 ] assert isinstance ( spatialData , ( float , int ) ) assert isinstance ( temporalData , ( float , int ) ) output [ 'spatialTopDownOut' ] [ i ] = spatialData output [ 'temporalTopDownOut' ] [ i ] = temporalData
Converts all of the non-numeric fields from spatialOutput and temporalOutput
    into their scalar equivalents and records them in the output dictionary.

    :param spatialOutput: The results of topDownCompute() for the spatial input.
    :param temporalOutput: The results of topDownCompute() for the temporal
      input.
    :param output: The main dictionary of outputs passed to compute(). It is
      expected to have keys 'spatialTopDownOut' and 'temporalTopDownOut' that
      are mapped to numpy arrays.
Converts all of the non - numeric fields from spatialOutput and temporalOutput into their scalar equivalents and records them in the output dictionary .