Ejemplo n.º 1
0
 def main(self, input_rings, output_rings):
     """
     @param[in] input_rings First ring in this list will be used for
         data
     @param[out] output_rings First ring in this list will be used for
         data output."""
     data_accumulate = None
     for ispan in self.iterate_ring_read(input_rings[0]):
         if self.nbit < 8:
             unpacked_data = unpack(ispan.data_view(self.dtype), self.nbit)
         else:
             unpacked_data = ispan.data_view(self.dtype)
         if data_accumulate is not None:
             data_accumulate = np.concatenate(
                 (data_accumulate, unpacked_data[0]))
         else:
             data_accumulate = unpacked_data[0]
     if self.shape != [1, 1]:
         data_accumulate = np.reshape(data_accumulate, (self.shape[0], -1))
     data_accumulate = data_accumulate.astype(np.complex64)
     self.out_gulp_size = data_accumulate.nbytes
     outspan_generator = self.iterate_ring_write(output_rings[0])
     ospan = outspan_generator.next()
     result = np.fft.fft(data_accumulate).astype(np.complex64)
     ospan.data_view(np.complex64)[0] = result.ravel()
Ejemplo n.º 2
0
 def main(self, input_ring):
     """Initiate the writing to filename
     @param[in] input_rings First ring in this list will be used for
         data
     @param[out] output_rings This list of rings won't be used."""
     span_generator = self.iterate_ring_read(input_ring)
     data_accumulate = None
     for span in span_generator:
         if self.nbit < 8:
             unpacked_data = unpack(span.data_view(self.dtype), self.nbit)
         else:
             if self.dtype == np.complex64:
                 unpacked_data = span.data_view(self.dtype).view(np.float32)
             elif self.dtype == np.complex128:
                 unpacked_data = span.data_view(self.dtype).view(np.float64)
             else:
                 unpacked_data = span.data_view(self.dtype)
         if data_accumulate is not None:
             data_accumulate = np.concatenate(
                 (data_accumulate, unpacked_data[0]))
         else:
             data_accumulate = unpacked_data[0]
     text_file = open(self.filename, 'a')
     np.savetxt(text_file, data_accumulate.reshape((1, -1)))
     text_file.close()