'''simple docstring'''


from arguments import InitializationArguments

from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, HfArgumentParser


# Configuration
__lowerCAmelCase	:       List[Any]						       =	HfArgumentParser(InitializationArguments)
__lowerCAmelCase	:       int						       =	parser.parse_args()

# Load codeparrot tokenizer trained for Python code tokenization
__lowerCAmelCase	:       Any						       =	AutoTokenizer.from_pretrained(args.tokenizer_name)

# Config: "scale_attn_by_layer_idx" and "reorder_and_upcast_attn" are Mistral stability tweaks
__lowerCAmelCase	:       int						       =	{
    "vocab_size": len(tokenizer),
    "scale_attn_by_inverse_layer_idx": True,
    "reorder_and_upcast_attn": True,
}

# Load model config (GPT-2 large in this case)
__lowerCAmelCase	:       List[Any]						       =	AutoConfig.from_pretrained(args.config_name, **config_kwargs)

# Initialize new model with config
__lowerCAmelCase	:       Dict						       =	AutoModelForCausalLM.from_config(config)

# Save model to the hub
model.save_pretrained(args.model_name, push_to_hub=args.push_to_hub)

'''simple docstring'''


def       lowerCAmelCase					(		UpperCamelCase__				:   int       ):


	"""simple docstring"""

	if not isinstance(UpperCamelCase__    ,					UpperCamelCase__       ):
		__UpperCAmelCase							=			f"""Input value of [number={number}] must be an integer"""
		raise TypeError(UpperCamelCase__       )

	if number < 1:
		__UpperCAmelCase							=			f"""Input value of [number={number}] must be > 0"""
		raise ValueError(UpperCamelCase__       )

	__UpperCAmelCase							=			1

	for i in range(1    ,					UpperCamelCase__       ):
		current_number *= 4 * i - 2
		current_number //= i + 1

	return current_number


if __name__ == "__main__":
					import doctest

					doctest.testmod()
