


import numpy as np



class 							_UpperCamelCase :

   '''simple docstring'''







   def __init__(  self  : List[str]							):






         '''simple docstring'''



         __lowerCamelCase     :      Any       						=						(0, 0)
         __lowerCamelCase     :      List[str]       						=						None
         __lowerCamelCase     :      List[str]       						=						0
         __lowerCamelCase     :      Optional[Any]       						=						0
         __lowerCamelCase     :      List[str]       						=						0

   def __eq__(  self  : Tuple       ,  _lowerCamelCase  : Dict							):






         '''simple docstring'''



         return self.position == cell.position


   def   _snake_case    (  self  : Union[str, Any]							):






         '''simple docstring'''



         print(self.position							)



class 							_UpperCamelCase :

   '''simple docstring'''







   def __init__(  self  : str       ,  _lowerCamelCase  : List[Any]=(5, 5)							):






         '''simple docstring'''



         __lowerCamelCase     :      Tuple       						=						np.zeros(_lowerCamelCase							)
         __lowerCamelCase     :      int       						=						world_size[0]
         __lowerCamelCase     :      List[Any]       						=						world_size[1]

   def   _snake_case    (  self  : Optional[Any]							):






         '''simple docstring'''



         print(self.w							)


   def   _snake_case    (  self  : str       ,  _lowerCamelCase  : Tuple							):






         '''simple docstring'''



         __lowerCamelCase     :      int       						=						[
             (-1, -1),
             (-1, 0),
             (-1, 1),
             (0, -1),
             (0, 1),
             (1, -1),
             (1, 0),
             (1, 1),
         ]
         __lowerCamelCase     :      Optional[Any]       						=						cell.position[0]
         __lowerCamelCase     :      int       						=						cell.position[1]
         __lowerCamelCase     :      Optional[int]       						=						[]
         for n in neughbour_cord:
               __lowerCamelCase     :      List[str]       						=						current_x + n[0]
               __lowerCamelCase     :      str       						=						current_y + n[1]
               if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
                     __lowerCamelCase     :      List[Any]       						=						Cell()
                     __lowerCamelCase     :      Tuple       						=						(x, y)
                     __lowerCamelCase     :      str       						=						cell
                     neighbours.append(_lowerCamelCase							)
         return neighbours





def   _UpperCAmelCase       (     UpperCAmelCase      :			Union[str, Any]						,	UpperCAmelCase      :			List[str]						,	UpperCAmelCase      :			str      ):
      """simple docstring"""




      __lowerCamelCase     :      str       						=						[]
      __lowerCamelCase     :      Union[str, Any]       						=						[]
      _open.append(UpperCAmelCase      )

      while _open:
            __lowerCamelCase     :      Tuple       						=						np.argmin([n.f for n in _open]      )
            __lowerCamelCase     :      List[str]       						=						_open[min_f]
            _closed.append(_open.pop(UpperCAmelCase      )      )
            if current == goal:
                  break
            for n in world.get_neigbours(UpperCAmelCase      ):
                  for c in _closed:
                        if c == n:
                              continue
                  __lowerCamelCase     :      Any       						=						current.g + 1
                  __lowerCamelCase						, __lowerCamelCase     :      List[str]       						=						n.position
                  __lowerCamelCase						, __lowerCamelCase     :      Tuple       						=						goal.position
                  __lowerCamelCase     :      Optional[int]       						=						(ya - ya) ** 2 + (xa - xa) ** 2
                  __lowerCamelCase     :      Optional[int]       						=						n.h + n.g

                  for c in _open:
                        if c == n and c.f < n.f:
                              continue
                  _open.append(UpperCAmelCase      )
      __lowerCamelCase     :      Tuple       						=						[]
      while current.parent is not None:
            path.append(current.position      )
            __lowerCamelCase     :      int       						=						current.parent
      path.append(current.position      )
      return path[::-1]


if __name__ == "__main__":
    __UpperCamelCase    :						Any     =							Gridworld()
    # Start position and goal
    __UpperCamelCase    :						Optional[Any]     =							Cell()
    __UpperCamelCase    :						Optional[Any]     =							(0, 0)
    __UpperCamelCase    :						Optional[int]     =							Cell()
    __UpperCamelCase    :						Any     =							(4, 4)
    print(F'''path from {start.position} to {goal.position}''')
    __UpperCamelCase    :						List[Any]     =							astar(world, start, goal)
    #   Just for visual reasons.
    for i in s:
        __UpperCamelCase    :						Optional[int]     =							1
    print(world.w)







import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer





def   _UpperCAmelCase       (     UpperCAmelCase      :			Any						,	UpperCAmelCase      :			int						,	UpperCAmelCase      :			int						,	UpperCAmelCase      :			Any=1_024      ):
      """simple docstring"""




      __lowerCamelCase						, __lowerCamelCase     :      str       						=						[], []

      __lowerCamelCase     :      Any       						=						list(zip(UpperCAmelCase						,	UpperCAmelCase      )      )
      __lowerCamelCase						, __lowerCamelCase     :      List[str]       						=						sorted_examples[0]

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

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

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





def   _UpperCAmelCase       (     UpperCAmelCase      :			Tuple						,	UpperCAmelCase      :			Path						,	UpperCAmelCase      :			Dict						,	UpperCAmelCase      :			Optional[Any]      ):
      """simple docstring"""




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





def   _UpperCAmelCase       (     ):
      """simple docstring"""




      __lowerCamelCase     :      List[Any]       						=						argparse.ArgumentParser()
      parser.add_argument("""--tok_name"""						,	type=UpperCAmelCase						,	help="""like facebook/bart-large-cnn,t5-base, etc."""      )
      parser.add_argument("""--max_seq_len"""						,	type=UpperCAmelCase						,	default=128      )
      parser.add_argument("""--data_dir"""						,	type=UpperCAmelCase      )
      parser.add_argument("""--save_path"""						,	type=UpperCAmelCase      )
      __lowerCamelCase     :      Union[str, Any]       						=						parser.parse_args()
      __lowerCamelCase     :      Tuple       						=						AutoTokenizer.from_pretrained(args.tok_name      )
      return pack_data_dir(UpperCAmelCase						,	Path(args.data_dir      )						,	args.max_seq_len						,	args.save_path      )


if __name__ == "__main__":
    packer_cli()



