print("AR", ar)
return ar
if __name__ == '__main__':
from DataAccess import DataAccess
data = DataAccess('2003-09-27T00:00:00', '2003-09-29T00:00:00', 'FIL')
chain_encoded = prep.encode_and_split(data.get_chain_code())
mer = get_shapes(chain_encoded, data.get_pixel_start_x(),
data.get_pixel_start_y(), data.get_filename(),
data.get_track_id(), data.get_fil_id(), data.get_date())
make_synthesis(mer)
# for id, coords in mer.items():
# carrington.append(coords[0][0])
# for x in range(1,6):
# carrington.append(mer["50988"][x][0])
#
# prep.display_object(carrington, "")
# npa = np.array([pix[0]], dtype=np.int32)
# npa2 = np.array([pix[1]], dtype=np.int32)
# print(npa)
#
