def get_console_parameters(func): if MOCK_get_console_parameters: parser = ArgumentParser() parser.start = MOCK_CLI_PASSWORD_START_POSITION parser.stop = MOCK_CLI_PASSWORD_STOP_POSITION parser.output = MOCK_CLI_OUTPUT_FOLDER parser.size = MOCK_CLI_OUTPUT_FILE_SIZE parser.resume = MOCK_CLI_RESUME return lambda: parser return func
"option when given.") parser.add_argument( 'instance', metavar='instance', nargs='?', type=FileType('w'), help="Where the translate instance should be written to, " "override option when given.") parser = parser.parse_args() if parser.template is not None: smart_close(parser.description) parser.description = parser.template if parser.instance is not None: smart_close(parser.output) parser.output = parser.instance with smart_close(parser.description) as template_fd: template_str = template_fd.read() try: rendered = create_description_instance(template_str, parser.language, parser.i18n, parser.namespace, not bool(parser.markdown)) except ValueError as e: print(e, file=sys.stderr) sys.exit(-1) with smart_close(parser.output) as output_fd: print(rendered, file=output_fd)
options.weight_decay, options.dropout_rate, options.loss_type, int(time()))) else: if os.path.isdir(options.plot_path): options.plot_path = os.path.join( options.plot_path, "{}_{}_{}_{}_{}_{}_{}_{}_{}.png".format( type, options.units, options.n_iter, options.learning_rate, options.batch_size, options.weight_decay, options.dropout_rate, options.loss_type, int(time()))) else: print options.plot_path + " is not a valid directory" sys.exit(2) parser.output = getOutput(options.output) conf = OrderedDict([('datasets', options.size), ('type', options.type), ('epochs', options.n_iter), ('ratio', options.ratio), ('units', options.units), ('unit_range', unit_range), ('n_input', 0), ('learning_rate', options.learning_rate), ('features', features), ('learning_rule', options.learning_rule), ('batch_size', options.batch_size), ('loss_type', options.loss_type), ('weight_decay', options.weight_decay), ('dropout_rate', options.dropout_rate), ('n_stable', options.n_stable), ('balanced', options.balanced)])
else: if os.path.isdir(options.plot_path): options.plot_path = os.path.join(options.plot_path, "{}_{}_{}_{}_{}_{}_{}_{}_{}.png".format(type, options.units, options.n_iter, options.learning_rate, options.batch_size, options.weight_decay, options.dropout_rate, options.loss_type, int(time()))) else: print options.plot_path + " is not a valid directory" sys.exit(2) parser.output = getOutput(options.output) conf = OrderedDict([ ('datasets', options.size), ('type', options.type), ('epochs', options.n_iter), ('ratio', options.ratio), ('units', options.units), ('unit_range', unit_range), ('n_input', 0), ('learning_rate', options.learning_rate), ('features', features), ('learning_rule', options.learning_rule), ('batch_size', options.batch_size), ('loss_type', options.loss_type), ('weight_decay', options.weight_decay), ('dropout_rate', options.dropout_rate),