autolens/data/array/util/mapping_util.py
def sparse_to_unmasked_sparse_from_mask_and_pixel_centres(total_sparse_pixels, mask,
                                                          unmasked_sparse_grid_pixel_centres):
    """Determine the mapping between every masked pixelization-grid pixel and pixelization-grid pixel. This is
    performed by checking whether each pixelization-grid pixel is within the regular-masks, and mapping the indexes.

    Parameters
    -----------
    total_sparse_pixels : int
        The total number of pixels in the pixelization grid which fall within the regular-masks.
    mask : ccd.masks.Mask
        The regular-masks within which pixelization pixels must be inside
    unmasked_sparse_grid_pixel_centres : ndarray
        The centres of the unmasked pixelization grid pixels.
    """

    pix_to_full_pix = np.zeros(total_sparse_pixels)

    pixel_index = 0

    for full_pixel_index in range(unmasked_sparse_grid_pixel_centres.shape[0]):

        y = unmasked_sparse_grid_pixel_centres[full_pixel_index, 0]
        x = unmasked_sparse_grid_pixel_centres[full_pixel_index, 1]

        if not mask[y, x]:
            pix_to_full_pix[pixel_index] = full_pixel_index
            pixel_index += 1

    return pix_to_full_pix
def sparse_to_unmasked_sparse_from_mask_and_pixel_centres(total_sparse_pixels, mask,
                                                          unmasked_sparse_grid_pixel_centres):
    """Determine the mapping between every masked pixelization-grid pixel and pixelization-grid pixel. This is
    performed by checking whether each pixelization-grid pixel is within the regular-masks, and mapping the indexes.

    Parameters
    -----------
    total_sparse_pixels : int
        The total number of pixels in the pixelization grid which fall within the regular-masks.
    mask : ccd.masks.Mask
        The regular-masks within which pixelization pixels must be inside
    unmasked_sparse_grid_pixel_centres : ndarray
        The centres of the unmasked pixelization grid pixels.
    """

    pix_to_full_pix = np.zeros(total_sparse_pixels)

    pixel_index = 0

    for full_pixel_index in range(unmasked_sparse_grid_pixel_centres.shape[0]):

        y = unmasked_sparse_grid_pixel_centres[full_pixel_index, 0]
        x = unmasked_sparse_grid_pixel_centres[full_pixel_index, 1]

        if not mask[y, x]:
            pix_to_full_pix[pixel_index] = full_pixel_index
            pixel_index += 1

    return pix_to_full_pix
def sparse_to_unmasked_sparse_from_mask_and_pixel_centres ( total_sparse_pixels , mask , unmasked_sparse_grid_pixel_centres ) : pix_to_full_pix = np . zeros ( total_sparse_pixels ) pixel_index = 0 for full_pixel_index in range ( unmasked_sparse_grid_pixel_centres . shape [ 0 ] ) : y = unmasked_sparse_grid_pixel_centres [ full_pixel_index , 0 ] x = unmasked_sparse_grid_pixel_centres [ full_pixel_index , 1 ] if not mask [ y , x ] : pix_to_full_pix [ pixel_index ] = full_pixel_index pixel_index += 1 return pix_to_full_pix
Determine the mapping between every masked pixelization-grid pixel and pixelization-grid pixel. This is
    performed by checking whether each pixelization-grid pixel is within the regular-masks, and mapping the indexes.

    Parameters
    -----------
    total_sparse_pixels : int
        The total number of pixels in the pixelization grid which fall within the regular-masks.
    mask : ccd.masks.Mask
        The regular-masks within which pixelization pixels must be inside
    unmasked_sparse_grid_pixel_centres : ndarray
        The centres of the unmasked pixelization grid pixels.
Determine the mapping between every masked pixelization - grid pixel and pixelization - grid pixel . This is performed by checking whether each pixelization - grid pixel is within the regular - masks and mapping the indexes .