


'''simple docstring'''



from pathlib import Path

import fire
from tqdm import tqdm







def     _UpperCamelCase      (		UpperCamelCase__="ro" ,      UpperCamelCase__="en" ,      UpperCamelCase__="wmt16" ,      UpperCamelCase__=None					):
			try:
						import datasets
			except (ModuleNotFoundError, ImportError):
						raise ImportError("""run pip install datasets"""					)
			UpperCAmelCase__  :					Union[str, Any]        =     f'''{src_lang}-{tgt_lang}'''
			print(f'''Converting {dataset}-{pair}'''					)
			UpperCAmelCase__  :					Optional[int]        =     datasets.load_dataset(UpperCamelCase__ ,      UpperCamelCase__					)
			if save_dir is None:
						UpperCAmelCase__  :					Union[str, Any]        =     f'''{dataset}-{pair}'''
			UpperCAmelCase__  :					List[Any]        =     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__  :					str        =     """val""" if split == """validation""" else split
						UpperCAmelCase__  :					str        =     save_dir.joinpath(f'''{fn}.source'''					)
						UpperCAmelCase__  :					Union[str, Any]        =     save_dir.joinpath(f'''{fn}.target'''					)
						UpperCAmelCase__  :					List[str]        =     src_path.open("""w+"""					)
						UpperCAmelCase__  :					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]					):
									UpperCAmelCase__  :					str        =     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'''



import os







def     _UpperCamelCase      (		UpperCamelCase__ = "input.txt"					):

			with open(os.path.join(os.path.dirname(UpperCamelCase__					) ,      UpperCamelCase__					)					) as input_file:
						UpperCAmelCase__  :					Tuple        =     [
						    [int(UpperCamelCase__					) for element in line.split(""","""					)]
						    for line in input_file.readlines()
						]

			UpperCAmelCase__  :					Optional[Any]        =     len(UpperCamelCase__					)
			UpperCAmelCase__  :					Any        =     len(matrix[0]					)

			UpperCAmelCase__  :					Optional[int]        =     [[-1 for _ in range(UpperCamelCase__					)] for _ in range(UpperCamelCase__					)]
			for i in range(UpperCamelCase__					):
						UpperCAmelCase__  :					Any        =     matrix[i][0]

			for j in range(1 ,      UpperCamelCase__					):
						for i in range(UpperCamelCase__					):
									UpperCAmelCase__  :					Any        =     minimal_path_sums[i][j - 1] + matrix[i][j]

						for i in range(1 ,      UpperCamelCase__					):
									UpperCAmelCase__  :					Dict        =     min(
									    minimal_path_sums[i][j] ,      minimal_path_sums[i - 1][j] + matrix[i][j]					)

						for i in range(rows - 2 ,      -1 ,      -1					):
									UpperCAmelCase__  :					int        =     min(
									    minimal_path_sums[i][j] ,      minimal_path_sums[i + 1][j] + matrix[i][j]					)

			return min(minimal_path_sums_row[-1] for minimal_path_sums_row in minimal_path_sums					)


if __name__ == "__main__":
		print(f"""{solution() = }""")