


"""simple docstring"""







import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_=1024   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				[], []

					__SCREAMING_SNAKE_CASE						   =				list(zip(lowerCAmelCase_  ,						lowerCAmelCase_   )   )
					__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				sorted_examples[0]

					def is_too_big(lowerCAmelCase_   ):
										return tok(lowerCAmelCase_  ,						return_tensors="pt"   ).input_ids.shape[1] > max_tokens

					for src, tgt in tqdm(sorted_examples[1:]   ):
										__SCREAMING_SNAKE_CASE						   =				new_src + " " + src
										__SCREAMING_SNAKE_CASE						   =				new_tgt + " " + tgt
										if is_too_big(lowerCAmelCase_   ) or is_too_big(lowerCAmelCase_   ):  # cant fit, finalize example
															finished_src.append(lowerCAmelCase_   )
															finished_tgt.append(lowerCAmelCase_   )
															__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				src, tgt
										else:  # can fit, keep adding
															__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				cand_src, cand_tgt

    # cleanup
					if new_src:
										assert new_tgt
										finished_src.append(lowerCAmelCase_   )
										finished_tgt.append(lowerCAmelCase_   )
					return finished_src, finished_tgt




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				Path(lowerCAmelCase_   )
					save_path.mkdir(exist_ok=lowerCAmelCase_   )
					for split in ["train"]:
										__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				data_dir / f"""{split}.source""", data_dir / f"""{split}.target"""
										__SCREAMING_SNAKE_CASE						   =				[x.rstrip() for x in Path(lowerCAmelCase_   ).open().readlines()]
										__SCREAMING_SNAKE_CASE						   =				[x.rstrip() for x in Path(lowerCAmelCase_   ).open().readlines()]
										__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				pack_examples(lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_   )
										print(f"""packed {split} split from {len(lowerCAmelCase_   )} examples -> {len(lowerCAmelCase_   )}."""   )
										Path(save_path / f"""{split}.source"""   ).open("w"   ).write("\n".join(lowerCAmelCase_   )   )
										Path(save_path / f"""{split}.target"""   ).open("w"   ).write("\n".join(lowerCAmelCase_   )   )
					for split in ["val", "test"]:
										__SCREAMING_SNAKE_CASE   ,  __SCREAMING_SNAKE_CASE						   =				data_dir / f"""{split}.source""", data_dir / f"""{split}.target"""
										shutil.copyfile(lowerCAmelCase_  ,						save_path / f"""{split}.source"""   )
										shutil.copyfile(lowerCAmelCase_  ,						save_path / f"""{split}.target"""   )




def    UpperCAmelCase__       ():




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				argparse.ArgumentParser()
					parser.add_argument("--tok_name"  ,						type=lowerCAmelCase_  ,						help="like facebook/bart-large-cnn,t5-base, etc."   )
					parser.add_argument("--max_seq_len"  ,						type=lowerCAmelCase_  ,						default=128   )
					parser.add_argument("--data_dir"  ,						type=lowerCAmelCase_   )
					parser.add_argument("--save_path"  ,						type=lowerCAmelCase_   )
					__SCREAMING_SNAKE_CASE						   =				parser.parse_args()
					__SCREAMING_SNAKE_CASE						   =				AutoTokenizer.from_pretrained(args.tok_name   )
					return pack_data_dir(lowerCAmelCase_  ,						Path(args.data_dir   )  ,						args.max_seq_len  ,						args.save_path   )


if __name__ == "__main__":
		packer_cli()




__lowerCAmelCase		       =							{
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}




def    snake_case_     (  snake_case			,							snake_case			,							snake_case     )  ->				list[str]:
       lowercase__:   int  			=   set()
       # keep track of all the paths to be checked
       lowercase__:   Optional[int]  			=   [[start]]

       # return path if start is goal
       if start == goal:
              return [start]

       # keeps looping until all possible paths have been checked
       while queue:
              # pop the first path from the queue
              lowercase__:   List[Any]  			=   queue.pop(0     )
              # get the last node from the path
              lowercase__:   Optional[int]  			=   path[-1]
              if node not in explored:
                     lowercase__:   Optional[Any]  			=   graph[node]
                     # go through all neighbour nodes, construct a new path and
                     # push it into the queue
                     for neighbour in neighbours:
                            lowercase__:   Tuple  			=   list(snake_case     )
                            new_path.append(snake_case     )
                            queue.append(snake_case     )
                            # return path if neighbour is goal
                            if neighbour == goal:
                                   return new_path

            # mark node as explored
                     explored.add(snake_case     )

    # in case there's no path between the 2 nodes
       return []




def    snake_case_     (  snake_case			,							snake_case			,							snake_case     )  ->				int:
       if not graph or start not in graph or target not in graph:
              return -1
       if start == target:
              return 0
       lowercase__:   Tuple  			=   [start]
       lowercase__:   List[Any]  			=   set(snake_case     )
       # Keep tab on distances from `start` node.
       lowercase__:   Tuple  			=   {start: 0, target: -1}
       while queue:
              lowercase__:   Dict  			=   queue.pop(0     )
              if node == target:
                     lowercase__:   str  			=   (
                         dist[node] if dist[target] == -1 else min(dist[target]			,							dist[node]     )
                     )
              for adjacent in graph[node]:
                     if adjacent not in visited:
                            visited.add(snake_case     )
                            queue.append(snake_case     )
                            lowercase__:   List[str]  			=   dist[node] + 1
       return dist[target]


if __name__ == "__main__":
 print(bfs_shortest_path(demo_graph, '''G''', '''D'''))  # returns ['G', 'C', 'A', 'B', 'D']
 print(bfs_shortest_path_distance(demo_graph, '''G''', '''D'''))  # returns 4


