def validate_config(self, configpath, specspath):
config = ConfigUtil.load_config(configpath)
specs = ConfigUtil.load_specs(specspath)
config = ConfigUtil.verify_config(specs, config)
steps = config['select']['steps']
if 86400 % steps:
raise ValueError(
'Parameter "run.steps" must divide 86400 but '
f'found {steps} (86400 % {steps} = {86400 % steps}).')
if len(config['run']['tmin']) != len(config['run']['tmax']):
raise RuntimeError(
'The number of "tmin" and "tmax" files must match.')
files = zip(config['run']['tmax'], config['run']['tmin'])
for tmax_file, tmin_file in files:
tmaxnc = Dataset(tmax_file, 'r')
tminnc = Dataset(tmin_file, 'r')
if tmaxnc.variables['tmax'].shape != tminnc.variables['tmin'].shape:
raise RuntimeError(
f'Tmax file "{tmax_file}" dimension does not '
f'match with that of tmin file "{tmin_file}".')
return config
def validate_config(self, configpath, specspath):
config = ConfigUtil.load_config(configpath)
specs = ConfigUtil.load_specs(specspath)
config = ConfigUtil.verify_config(specs, config)
return config