

"""simple docstring"""






from pathlib import Path

import fire
from tqdm import tqdm



def   lowercase_	(    _lowercase       :		Union[str, Any]="ro"							,      _lowercase       :		Tuple="en"							,      _lowercase       :		Dict="wmt16"							,      _lowercase       :		int=None	):




					'''simple docstring'''






					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			:   Tuple      =				datasets.load_dataset(_lowercase							,      _lowercase	)
					if save_dir is None:
										UpperCAmelCase			:   int      =				F"""{dataset}-{pair}"""
					UpperCAmelCase			:   Dict      =				Path(_lowercase	)
					save_dir.mkdir(exist_ok=_lowercase	)

					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			:   int      =				"val" if split == "validation" else split
										UpperCAmelCase			:   Tuple      =				save_dir.joinpath(F"""{fn}.source"""	)
										UpperCAmelCase			:   Optional[Any]      =				save_dir.joinpath(F"""{fn}.target"""	)
										UpperCAmelCase			:   int      =				src_path.open("w+"	)
										UpperCAmelCase			:   str      =				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"""






from __future__ import annotations

from collections import Counter
from random import random







class       snake_case__  :







			def __init__(			self			: Any  ):





								'''simple docstring'''



								UpperCAmelCase			:   List[Any]      =				{}







			def 			__lowerCAmelCase				(			self			: List[Any]			,  lowercase			: str  ):





								'''simple docstring'''



								UpperCAmelCase			:   Optional[int]      =				{}







			def 			__lowerCAmelCase				(			self			: Optional[int]			,  lowercase			: str			,  lowercase			: str			,  lowercase			: float  ):





								'''simple docstring'''



								if nodea not in self.connections:
													self.add_node(lowercase  )
								if nodea not in self.connections:
													self.add_node(lowercase  )
								UpperCAmelCase			:   int      =				probability







			def 			__lowerCAmelCase				(			self			: List[Any]  ):





								'''simple docstring'''



								return list(self.connections  )







			def 			__lowerCAmelCase				(			self			: int			,  lowercase			: str  ):





								'''simple docstring'''



								UpperCAmelCase			:   int      =				0
								UpperCAmelCase			:   Union[str, Any]      =				random()

								for dest in self.connections[node]:
													current_probability += self.connections[node][dest]
													if current_probability > random_value:
																		return dest
								return ""



def   lowercase_	(    _lowercase       :		str							,      _lowercase       :		list[tuple[str, str, float]]							,      _lowercase       :		int	):




					'''simple docstring'''






					UpperCAmelCase			:   int      =				MarkovChainGraphUndirectedUnweighted()

					for nodea, nodea, probability in transitions:
										graph.add_transition_probability(_lowercase							,      _lowercase							,      _lowercase	)

					UpperCAmelCase			:   List[Any]      =				Counter(graph.get_nodes()	)
					UpperCAmelCase			:   List[Any]      =				start

					for _ in range(_lowercase	):
										UpperCAmelCase			:   Optional[Any]      =				graph.transition(_lowercase	)
										visited[node] += 1

					return visited


if __name__ == "__main__":
	import doctest

	doctest.testmod()


