


class 			_lowercase :


       """simple docstring"""




       def __init__(   self							:			Tuple       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[Any]    =  ""
             lowerCamelCase__		:				Dict    =  ""
             lowerCamelCase__		:				List[str]    =  []





       def 						lowerCAmelCase     (   self							:			Optional[Any]					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			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]:
                         lowerCamelCase__		:				Dict    =  self.__min_dist_top_down_dp(m - 1					,      n - 1       )
                   else:
                         lowerCamelCase__		:				Union[str, Any]    =  self.__min_dist_top_down_dp(__lowerCamelCase					,      n - 1       )
                         lowerCamelCase__		:				int    =  self.__min_dist_top_down_dp(m - 1					,      __lowerCamelCase       )
                         lowerCamelCase__		:				List[str]    =  self.__min_dist_top_down_dp(m - 1					,      n - 1       )
                         lowerCamelCase__		:				Optional[int]    =  1 + min(__lowerCamelCase					,      __lowerCamelCase					,      __lowerCamelCase       )

                   return self.dp[m][n]





       def 						lowerCAmelCase     (   self							:			Tuple					,      __lowerCamelCase							:			str					,      __lowerCamelCase							:			str       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[int]    =  worda
             lowerCamelCase__		:				List[Any]    =  worda
             lowerCamelCase__		:				Tuple    =  [[-1 for _ in range(len(__lowerCamelCase       )       )] for _ in range(len(__lowerCamelCase       )       )]

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





       def 						lowerCAmelCase     (   self							:			Any					,      __lowerCamelCase							:			str					,      __lowerCamelCase							:			str       ):


             '''simple docstring'''



             lowerCamelCase__		:				Tuple    =  worda
             lowerCamelCase__		:				Dict    =  worda
             lowerCamelCase__		:				Optional[int]    =  len(__lowerCamelCase       )
             lowerCamelCase__		:				Tuple    =  len(__lowerCamelCase       )
             lowerCamelCase__		:				Any    =  [[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
                               lowerCamelCase__		:				Tuple    =  j
                         elif j == 0:  # second string is empty
                               lowerCamelCase__		:				List[str]    =  i
                         elif worda[i - 1] == worda[j - 1]:  # last characters are equal
                               lowerCamelCase__		:				List[Any]    =  self.dp[i - 1][j - 1]
                         else:
                               lowerCamelCase__		:				Any    =  self.dp[i][j - 1]
                               lowerCamelCase__		:				Optional[int]    =  self.dp[i - 1][j]
                               lowerCamelCase__		:				int    =  self.dp[i - 1][j - 1]
                               lowerCamelCase__		:				Dict    =  1 + min(__lowerCamelCase					,      __lowerCamelCase					,      __lowerCamelCase       )
             return self.dp[m][n]


if __name__ == "__main__":
    A      :    Any		=					EditDistance()

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

    A      :    List[Any]		=					input("Enter the first string: ").strip()
    A      :    List[Any]		=					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 ***************")






import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate







@dataclass(frozen=lowercase__)
class 			_lowercase (							lowercase__):


       """simple docstring"""




       A__											=			field(default="automatic-speech-recognition"							,  metadata={"include_in_asdict_even_if_is_default": True})
       A__											=			Features({"audio": Audio()})
       A__											=			Features({"transcription": Value("string")})
       A__											=			"audio"
       A__											=			"transcription"





       def 						lowerCAmelCase     (   self							:			Any					,      __lowerCamelCase							:			int       ):


             '''simple docstring'''



             if self.audio_column not in features:
                   raise ValueError(f"Column {self.audio_column} is not present in features."       )
             if not isinstance(features[self.audio_column]					,      __lowerCamelCase       ):
                   raise ValueError(f"Column {self.audio_column} is not an Audio type."       )
             lowerCamelCase__		:				Tuple    =  copy.deepcopy(self       )
             lowerCamelCase__		:				Tuple    =  self.input_schema.copy()
             lowerCamelCase__		:				Optional[int]    =  features[self.audio_column]
             lowerCamelCase__		:				int    =  input_schema
             return task_template





       @property
       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             return {self.audio_column: "audio", self.transcription_column: "transcription"}


