def make_scheduler(scale_down=False, max_dither=0.7, nexp=1): nside = 32 per_night = True # Dither DDF per night camera_ddf_rot_limit = 75. extra_info = {} exec_command = '' for arg in sys.argv: exec_command += ' ' + arg extra_info['exec command'] = exec_command try: extra_info['git hash'] = subprocess.check_output( ['git', 'rev-parse', 'HEAD']) except subprocess.CalledProcessError: extra_info['git hash'] = 'Not in git repo' extra_info['file executed'] = os.path.realpath(__file__) fileroot = 'baseline_nexp%i_' % nexp file_end = 'v1.6_' if scale_down: footprints = nes_light_footprints(nside=nside) fileroot = fileroot + 'scaleddown_' else: footprints = standard_goals(nside=nside) # Set up the DDF surveys to dither dither_detailer = detailers.Dither_detailer(per_night=per_night, max_dither=max_dither) details = [ detailers.Camera_rot_detailer(min_rot=-camera_ddf_rot_limit, max_rot=camera_ddf_rot_limit), dither_detailer ] ddfs = generate_dd_surveys(nside=nside, nexp=nexp, detailers=details) greedy = gen_greedy_surveys(nside, nexp=nexp, footprints=footprints) blobs = generate_blobs(nside, nexp=nexp, footprints=footprints) surveys = [ddfs, blobs, greedy] scheduler = Core_scheduler(surveys, nside=nside) return scheduler
if scale_down: footprints_hp = nes_light_footprints(nside=nside) fileroot = fileroot + 'scaleddown_' else: footprints_hp = standard_goals(nside=nside) observatory = Model_observatory(nside=nside) conditions = observatory.return_conditions() footprints = Footprint(conditions.mjd_start, sun_RA_start=conditions.sun_RA_start, nside=nside) for i, key in enumerate(footprints_hp): footprints.footprints[i, :] = footprints_hp[key] # Set up the DDF surveys to dither dither_detailer = detailers.Dither_detailer(per_night=per_night, max_dither=max_dither) details = [ detailers.Camera_rot_detailer(min_rot=-camera_ddf_rot_limit, max_rot=camera_ddf_rot_limit), dither_detailer ] ddfs = generate_dd_surveys(nside=nside, nexp=nexp, detailers=details) greedy = gen_greedy_surveys(nside, nexp=nexp, footprints=footprints) blobs = generate_blobs(nside, nexp=nexp, footprints=footprints) surveys = [ddfs, blobs, greedy] run_sched(surveys, survey_length=survey_length, verbose=verbose, fileroot=os.path.join(outDir, fileroot + file_end), extra_info=extra_info,