from __future__ import division, print_function, unicode_literals, absolute_import

import numpy as np

def calc_pixmap(first_wcs, second_wcs):
    """
    Calculate a mapping between the pixels of two images.
    
    Parameters
    ----------
    
    first_wcs : wcs
        A WCS object representing the coordinate system you are
        converting from
    
    seond_wcs : wcs
        A WCS object representing the coordinate system you are
        converting to
        
    Returns
    -------
    
    A three dimensional array representing the transformation between
    the two. The last dimension is of length two and contains the x and
    y coordinates of a pixel center, repectively. The other two coordinates
    correspond to the two coordinates of the image the first WCS is from.
    """

    first_naxis1 = first_wcs._naxis1
    first_naxis2 = first_wcs._naxis2

    # We add one to the pixel co-ordinates before the transformation and subtract
    # it afterwards because wcs co-ordinates are one based, while pixel co-ordinates
    # are zero based, The result is the final values in pixmap give a tranformation
    # between the pixel co-ordinates in the first image to pixel co-ordinates in the
    # co-ordinate system of the second.

    one = np.ones(2, dtype='float64')
    idxmap = np.indices((first_naxis1, first_naxis2), dtype='float64')
    idxmap = idxmap.transpose() + one
    
    idxmap = idxmap.reshape(first_naxis2 * first_naxis1, 2)
        
    worldmap = first_wcs.all_pix2world(idxmap, 1)

    if second_wcs.sip is None:
        pixmap = second_wcs.wcs_world2pix(worldmap, 1)
    else:
        pixmap = second_wcs.all_world2pix(worldmap, 1)

    pixmap = pixmap.reshape(first_naxis2, first_naxis1, 2)
    pixmap = pixmap - one
    
    return pixmap
