






from arguments import InitializationArguments

from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, HfArgumentParser


# Configuration
__lowerCamelCase :      Optional[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 :      Tuple										=				{
    """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 :      Any										=				AutoConfig.from_pretrained(args.config_name, **config_kwargs)

# Initialize new model with config
__lowerCamelCase :      int										=				AutoModelForCausalLM.from_config(config)

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











from __future__ import annotations







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							float					,  snake_case_ :							float					,  snake_case_ :							float       ):
	if days_between_payments <= 0:
		raise ValueError("days_between_payments must be > 0"       )
	if daily_interest_rate < 0:
		raise ValueError("daily_interest_rate must be >= 0"       )
	if principal <= 0:
		raise ValueError("principal must be > 0"       )
	return principal * daily_interest_rate * days_between_payments







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							float					,  snake_case_ :							float					,  snake_case_ :							float					,  ):
	if number_of_compounding_periods <= 0:
		raise ValueError("number_of_compounding_periods must be > 0"       )
	if nominal_annual_interest_rate_percentage < 0:
		raise ValueError("nominal_annual_interest_rate_percentage must be >= 0"       )
	if principal <= 0:
		raise ValueError("principal must be > 0"       )

	return principal * (
	    (1 + nominal_annual_interest_rate_percentage) ** number_of_compounding_periods
	    - 1
	)







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							float					,  snake_case_ :							float					,  snake_case_ :							float					,  ):
	if number_of_years <= 0:
		raise ValueError("number_of_years must be > 0"       )
	if nominal_annual_percentage_rate < 0:
		raise ValueError("nominal_annual_percentage_rate must be >= 0"       )
	if principal <= 0:
		raise ValueError("principal must be > 0"       )

	return compound_interest(
	    snake_case_					,  nominal_annual_percentage_rate / 365					,  number_of_years * 365       )


if __name__ == "__main__":
	import doctest

	doctest.testmod()



