



from pathlib import Path

import fire
from tqdm import tqdm







def snake_case__	(      __SCREAMING_SNAKE_CASE="ro"      ,  __SCREAMING_SNAKE_CASE="en"      ,  __SCREAMING_SNAKE_CASE="wmt16"      ,  __SCREAMING_SNAKE_CASE=None			)		->				None:
		try:
				import datasets
		except (ModuleNotFoundError, ImportError):
				raise ImportError("run pip install datasets"			)
		UpperCAmelCase_						       =					f'''{src_lang}-{tgt_lang}'''
		print(f'''Converting {dataset}-{pair}'''			)
		UpperCAmelCase_						       =					datasets.load_dataset(UpperCAmelCase_      ,  UpperCAmelCase_			)
		if save_dir is None:
				UpperCAmelCase_						       =					f'''{dataset}-{pair}'''
		UpperCAmelCase_						       =					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
				UpperCAmelCase_						       =					"val" if split == "validation" else split
				UpperCAmelCase_						       =					save_dir.joinpath(f'''{fn}.source'''			)
				UpperCAmelCase_						       =					save_dir.joinpath(f'''{fn}.target'''			)
				UpperCAmelCase_						       =					src_path.open("w+"			)
				UpperCAmelCase_						       =					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]			):
						UpperCAmelCase_						       =					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)








'''simple docstring'''




from collections import Counter
from timeit import timeit




def 						__lowerCamelCase			(	UpperCAmelCase_ = ""					,				)   ->bool:
	return sum(c % 2 for c in Counter(input_str.replace(' '					,				''							).lower()							).values()							) < 2




def 						__lowerCamelCase			(	UpperCAmelCase_ = ""							)   ->bool:
	if len(UpperCAmelCase_							) == 0:
		return True
	snake_case__	       =   input_str.replace(' '					,				''							).lower()
	# character_freq_dict: Stores the frequency of every character in the input string
	snake_case__	       =   {}

	for character in lower_case_input_str:
		snake_case__	       =   character_freq_dict.get(UpperCAmelCase_					,				0							) + 1
	snake_case__	       =   0

	for character_count in character_freq_dict.values():
		if character_count % 2:
			odd_char += 1
	if odd_char > 1:
		return False
	return True




def 						__lowerCamelCase			(	UpperCAmelCase_ = ""							)   ->None:
	print('\nFor string = '					,				UpperCAmelCase_					,				':'							)
	print(
	    '> can_string_be_rearranged_as_palindrome_counter()'					,				'\tans ='					,				can_string_be_rearranged_as_palindrome_counter(UpperCAmelCase_							)					,				'\ttime ='					,				timeit(
	        'z.can_string_be_rearranged_as_palindrome_counter(z.check_str)'					,				setup='import __main__ as z'					,				)					,				'seconds'					,				)
	print(
	    '> can_string_be_rearranged_as_palindrome()'					,				'\tans ='					,				can_string_be_rearranged_as_palindrome(UpperCAmelCase_							)					,				'\ttime ='					,				timeit(
	        'z.can_string_be_rearranged_as_palindrome(z.check_str)'					,				setup='import __main__ as z'					,				)					,				'seconds'					,				)


if __name__ == "__main__":
			a__					:			str          =     input(
			    '''Enter string to determine if it can be rearranged as a palindrome or not: '''
			).strip()
			benchmark(check_str)
			a__					:			List[Any]          =     can_string_be_rearranged_as_palindrome_counter(check_str)
			print(f"""{check_str} can {'' if status else 'not '}be rearranged as a palindrome""")



