src/nupic/encoders/sparse_pass_through.py
def encodeIntoArray(self, value, output):
    """ See method description in base.py """
    denseInput = numpy.zeros(output.shape)
    try:
      denseInput[value] = 1
    except IndexError:
      if isinstance(value, numpy.ndarray):
        raise ValueError(
            "Numpy array must have integer dtype but got {}".format(
                value.dtype))
      raise
    super(SparsePassThroughEncoder, self).encodeIntoArray(denseInput, output)
def encodeIntoArray(self, value, output):
    """ See method description in base.py """
    denseInput = numpy.zeros(output.shape)
    try:
      denseInput[value] = 1
    except IndexError:
      if isinstance(value, numpy.ndarray):
        raise ValueError(
            "Numpy array must have integer dtype but got {}".format(
                value.dtype))
      raise
    super(SparsePassThroughEncoder, self).encodeIntoArray(denseInput, output)
def encodeIntoArray ( self , value , output ) : denseInput = numpy . zeros ( output . shape ) try : denseInput [ value ] = 1 except IndexError : if isinstance ( value , numpy . ndarray ) : raise ValueError ( "Numpy array must have integer dtype but got {}" . format ( value . dtype ) ) raise super ( SparsePassThroughEncoder , self ) . encodeIntoArray ( denseInput , output )
See method description in base.py
See method description in base . py