






from pathlib import Path

import fire
from tqdm import tqdm







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							int="ro"					,  snake_case_ :							Optional[int]="en"					,  snake_case_ :							List[Any]="wmt16"					,  snake_case_ :							str=None       ):
	try:
		import datasets
	except (ModuleNotFoundError, ImportError):
		raise ImportError("run pip install datasets"       )
	snake_case__			:				List[Any]       =  F'''{src_lang}-{tgt_lang}'''
	print(F'''Converting {dataset}-{pair}'''       )
	snake_case__			:				Union[str, Any]       =  datasets.load_dataset(UpperCAmelCase_					,  UpperCAmelCase_       )
	if save_dir is None:
		snake_case__			:				Tuple       =  F'''{dataset}-{pair}'''
	snake_case__			:				Dict       =  Path(UpperCAmelCase_       )
	save_dir.mkdir(exist_ok=UpperCAmelCase_       )

	for split in ds.keys():
		print(F'''Splitting {split} with {ds[split].num_rows} records'''       )

		# to save to val.source, val.target like summary datasets
		snake_case__			:				int       =  "val" if split == "validation" else split
		snake_case__			:				Union[str, Any]       =  save_dir.joinpath(F'''{fn}.source'''       )
		snake_case__			:				List[Any]       =  save_dir.joinpath(F'''{fn}.target'''       )
		snake_case__			:				Optional[Any]       =  src_path.open("w+"       )
		snake_case__			:				Optional[int]       =  tgt_path.open("w+"       )

		# reader is the bottleneck so writing one record at a time doesn't slow things down
		for x in tqdm(ds[split]       ):
			snake_case__			:				Optional[int]       =  x["translation"]
			src_fp.write(ex[src_lang] + "\n"       )
			tgt_fp.write(ex[tgt_lang] + "\n"       )

	print(F'''Saved {dataset} dataset to {save_dir}'''       )


if __name__ == "__main__":
	fire.Fire(download_wmt_dataset)











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()



