
import os
from argparse import ArgumentParser
from typing import List

import torch.utils.data

from datasets import Dataset, IterableDataset
from datasets.distributed import split_dataset_by_node


lowerCamelCase      =4
lowerCamelCase      =3




class 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""







     pass


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):
      for shard in shards:
            for i in range(UpperCamelCase__		):
                  yield {"i": i, "shard": shard}


def 							SCREAMING_SNAKE_CASE_      (			):
      UpperCamelCase__    :   Optional[Any]					=				int(os.environ['''RANK''']		)
      UpperCamelCase__    :   Union[str, Any]					=				int(os.environ['''WORLD_SIZE''']		)

      UpperCamelCase__    :   int					=				ArgumentParser()
      parser.add_argument('''--streaming''' ,		type=UpperCamelCase__		)
      parser.add_argument('''--local_rank''' ,		type=UpperCamelCase__		)
      parser.add_argument('''--num_workers''' ,		type=UpperCamelCase__ ,		default=0		)
      UpperCamelCase__    :   List[str]					=				parser.parse_args()
      UpperCamelCase__    :   Optional[int]					=				args.streaming
      UpperCamelCase__    :   Optional[Any]					=				args.num_workers

      UpperCamelCase__    :   Any					=				{'''shards''': [f'''shard_{shard_idx}''' for shard_idx in range(UpperCamelCase__		)]}
      UpperCamelCase__    :   int					=				IterableDataset.from_generator(UpperCamelCase__ ,		gen_kwargs=UpperCamelCase__		)
      if not streaming:
            UpperCamelCase__    :   Union[str, Any]					=				Dataset.from_list(list(UpperCamelCase__		)		)

      UpperCamelCase__    :   Dict					=				split_dataset_by_node(UpperCamelCase__ ,		rank=UpperCamelCase__ ,		world_size=UpperCamelCase__		)
      UpperCamelCase__    :   int					=				torch.utils.data.DataLoader(UpperCamelCase__ ,		num_workers=UpperCamelCase__		)

      UpperCamelCase__    :   List[str]					=				NUM_SHARDS * NUM_ITEMS_PER_SHARD
      UpperCamelCase__    :   Tuple					=				full_size // world_size
      expected_local_size += int(rank < (full_size % world_size)		)

      UpperCamelCase__    :   Union[str, Any]					=				sum(1 for _ in dataloader		)
      if local_size != expected_local_size:
            raise FailedTestError(f'''local_size {local_size} != expected_local_size {expected_local_size}'''		)


if __name__ == "__main__":
    main()




class 				_lowerCamelCase :





     """simple docstring"""







     def __init__(							self  )  ->   Tuple:




           """simple docstring"""







           UpperCamelCase__    :   Union[str, Any]					=				''''''
           UpperCamelCase__    :   int					=				''''''
           UpperCamelCase__    :   Optional[int]					=				[]






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )  ->   int:




           """simple docstring"""







           if m == -1:
                 return n + 1
           elif n == -1:
                 return m + 1
           elif self.dp[m][n] > -1:
                 return self.dp[m][n]
           else:
                 if self.worda[m] == self.worda[n]:
                       UpperCamelCase__    :   Union[str, Any]					=				self.__min_dist_top_down_dp(m - 1						,						n - 1  )
                 else:
                       UpperCamelCase__    :   int					=				self.__min_dist_top_down_dp(__SCREAMING_SNAKE_CASE						,						n - 1  )
                       UpperCamelCase__    :   Tuple					=				self.__min_dist_top_down_dp(m - 1						,						__SCREAMING_SNAKE_CASE  )
                       UpperCamelCase__    :   Optional[Any]					=				self.__min_dist_top_down_dp(m - 1						,						n - 1  )
                       UpperCamelCase__    :   Optional[int]					=				1 + min(__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )

                 return self.dp[m][n]






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )  ->   int:




           """simple docstring"""







           UpperCamelCase__    :   Union[str, Any]					=				worda
           UpperCamelCase__    :   Any					=				worda
           UpperCamelCase__    :   List[str]					=				[[-1 for _ in range(len(__SCREAMING_SNAKE_CASE  )  )] for _ in range(len(__SCREAMING_SNAKE_CASE  )  )]

           return self.__min_dist_top_down_dp(len(__SCREAMING_SNAKE_CASE  ) - 1						,						len(__SCREAMING_SNAKE_CASE  ) - 1  )






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )  ->   int:




           """simple docstring"""







           UpperCamelCase__    :   int					=				worda
           UpperCamelCase__    :   List[str]					=				worda
           UpperCamelCase__    :   int					=				len(__SCREAMING_SNAKE_CASE  )
           UpperCamelCase__    :   Optional[Any]					=				len(__SCREAMING_SNAKE_CASE  )
           UpperCamelCase__    :   int					=				[[0 for _ in range(n + 1  )] for _ in range(m + 1  )]

           for i in range(m + 1  ):
                 for j in range(n + 1  ):
                       if i == 0:  # first string is empty
                             UpperCamelCase__    :   List[Any]					=				j
                       elif j == 0:  # second string is empty
                             UpperCamelCase__    :   Union[str, Any]					=				i
                       elif worda[i - 1] == worda[j - 1]:  # last characters are equal
                             UpperCamelCase__    :   List[Any]					=				self.dp[i - 1][j - 1]
                       else:
                             UpperCamelCase__    :   Union[str, Any]					=				self.dp[i][j - 1]
                             UpperCamelCase__    :   str					=				self.dp[i - 1][j]
                             UpperCamelCase__    :   Union[str, Any]					=				self.dp[i - 1][j - 1]
                             UpperCamelCase__    :   List[Any]					=				1 + min(__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE						,						__SCREAMING_SNAKE_CASE  )
           return self.dp[m][n]


if __name__ == "__main__":
    lowerCamelCase      =EditDistance()

    print("****************** Testing Edit Distance DP Algorithm ******************")
    print()

    lowerCamelCase      =input("Enter the first string: ").strip()
    lowerCamelCase      =input("Enter the second string: ").strip()

    print()
    print(F'''The minimum edit distance is: {solver.min_dist_top_down(Sa, Sa)}''')
    print(F'''The minimum edit distance is: {solver.min_dist_bottom_up(Sa, Sa)}''')
    print()
    print("*************** End of Testing Edit Distance DP Algorithm ***************")


