




import heapq as hq
import math
from collections.abc import Iterator




class 		__A   :

						def __init__(		self :Optional[Any]     ,			__snake_case :Optional[Any]			):
										'''simple docstring'''

										__magic_name__						:						int										=str(id_			)
										__magic_name__						:						str										=None
										__magic_name__						:						Any										=None
										__magic_name__						:						List[Any]										=[]
										__magic_name__						:						Optional[Any]										={}  # {vertex:distance}

						def __lt__(		self :List[Any]     ,			__snake_case :str			):
										'''simple docstring'''

										return self.key < other.key

						def __repr__(		self :List[str]			):
										'''simple docstring'''

										return self.id

						def      A__    (		self :List[Any]     ,			__snake_case :List[Any]			):
										'''simple docstring'''

										self.neighbors.append(__snake_case			)


						def      A__    (		self :Dict     ,			__snake_case :List[Any]     ,			__snake_case :Dict			):
										'''simple docstring'''

										__magic_name__						:						Dict										=weight




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase ):
				# add the neighbors:
				graph[a - 1].add_neighbor(graph[b - 1] )
				graph[b - 1].add_neighbor(graph[a - 1] )
				# add the edges:
				graph[a - 1].add_edge(graph[b - 1]						,  lowerCamelCase )
				graph[b - 1].add_edge(graph[a - 1]						,  lowerCamelCase )




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase ):
				__magic_name__						:						List[str]										=[]
				for u in graph:
								__magic_name__						:						Any										=math.inf
								__magic_name__						:						Tuple										=None
				__magic_name__						:						Any										=0
				__magic_name__						:						Tuple										=graph[:]
				while q:
								__magic_name__						:						Tuple										=min(lowerCamelCase )
								q.remove(lowerCamelCase )
								for v in u.neighbors:
												if (v in q) and (u.edges[v.id] < v.key):
																__magic_name__						:						Optional[Any]										=u
																__magic_name__						:						int										=u.edges[v.id]
				for i in range(1						,  len(lowerCamelCase ) ):
								a.append((int(graph[i].id ) + 1, int(graph[i].pi.id ) + 1) )
				return a




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase ):
				for u in graph:
								__magic_name__						:						Any										=math.inf
								__magic_name__						:						str										=None
				__magic_name__						:						Union[str, Any]										=0

				__magic_name__						:						Union[str, Any]										=list(lowerCamelCase )
				hq.heapify(lowerCamelCase )

				while h:
								__magic_name__						:						str										=hq.heappop(lowerCamelCase )
								for v in u.neighbors:
												if (v in h) and (u.edges[v.id] < v.key):
																__magic_name__						:						List[str]										=u
																__magic_name__						:						str										=u.edges[v.id]
																hq.heapify(lowerCamelCase )

				for i in range(1						,  len(lowerCamelCase ) ):
								yield (int(graph[i].id ) + 1, int(graph[i].pi.id ) + 1)




def 		lowerCAmelCase_ (						):
				pass


if __name__ == "__main__":
							import doctest

							doctest.testmod()










from pathlib import Path

import fire
from tqdm import tqdm




def 		lowerCAmelCase_ (						lowerCamelCase="ro"						,  lowerCamelCase="en"						,  lowerCamelCase="wmt16"						,  lowerCamelCase=None ):
				try:
								import datasets
				except (ModuleNotFoundError, ImportError):
								raise ImportError("""run pip install datasets""" )
				__magic_name__						:						Dict										=F"{src_lang}-{tgt_lang}"
				print(F"Converting {dataset}-{pair}" )
				__magic_name__						:						Dict										=datasets.load_dataset(lowerCamelCase						,  lowerCamelCase )
				if save_dir is None:
								__magic_name__						:						Optional[int]										=F"{dataset}-{pair}"
				__magic_name__						:						int										=Path(lowerCamelCase )
				save_dir.mkdir(exist_ok=lowerCamelCase )

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




