jplephem/binary_pck.py
def _load(self):
        """Map the coefficients into memory using a NumPy array.

        """
        if self.data_type == 2:
            component_count = 3
        else:
            raise ValueError('only binary PCK data type 2 is supported')

        init, intlen, rsize, n = self.daf.read_array(self.end_i - 3, self.end_i)
        initial_epoch = jd(init)
        interval_length = intlen / S_PER_DAY
        coefficient_count = int(rsize - 2) // component_count
        coefficients = self.daf.map_array(self.start_i, self.end_i - 4)

        coefficients.shape = (int(n), int(rsize))
        coefficients = coefficients[:,2:]  # ignore MID and RADIUS elements
        coefficients.shape = (int(n), component_count, coefficient_count)
        coefficients = rollaxis(coefficients, 1)
        return initial_epoch, interval_length, coefficients
def _load(self):
        if self.data_type == 2:
            component_count = 3
        else:
            raise ValueError('only binary PCK data type 2 is supported')

        init, intlen, rsize, n = self.daf.read_array(self.end_i - 3, self.end_i)
        initial_epoch = jd(init)
        interval_length = intlen / S_PER_DAY
        coefficient_count = int(rsize - 2) // component_count
        coefficients = self.daf.map_array(self.start_i, self.end_i - 4)

        coefficients.shape = (int(n), int(rsize))
        coefficients = coefficients[:,2:]  # ignore MID and RADIUS elements
        coefficients.shape = (int(n), component_count, coefficient_count)
        coefficients = rollaxis(coefficients, 1)
        return initial_epoch, interval_length, coefficients
def _load ( self ) : if self . data_type == 2 : component_count = 3 else : raise ValueError ( 'only binary PCK data type 2 is supported' ) init , intlen , rsize , n = self . daf . read_array ( self . end_i - 3 , self . end_i ) initial_epoch = jd ( init ) interval_length = intlen / S_PER_DAY coefficient_count = int ( rsize - 2 ) // component_count coefficients = self . daf . map_array ( self . start_i , self . end_i - 4 ) coefficients . shape = ( int ( n ) , int ( rsize ) ) coefficients = coefficients [ : , 2 : ] # ignore MID and RADIUS elements coefficients . shape = ( int ( n ) , component_count , coefficient_count ) coefficients = rollaxis ( coefficients , 1 ) return initial_epoch , interval_length , coefficients
Map the coefficients into memory using a NumPy array.
Map the coefficients into memory using a NumPy array .