
class     lowercase :



		def __init__(			self	)  -> Any:
				"""simple docstring"""
				UpperCamelCase          =					''
				UpperCamelCase          =					''
				UpperCamelCase          =					[]



		def __UpperCamelCase			(			self    ,				A_    ,				A_	)  -> 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          =					self.__min_dist_top_down_dp(m - 1    ,				n - 1	)
						else:
								UpperCamelCase          =					self.__min_dist_top_down_dp(A_    ,				n - 1	)
								UpperCamelCase          =					self.__min_dist_top_down_dp(m - 1    ,				A_	)
								UpperCamelCase          =					self.__min_dist_top_down_dp(m - 1    ,				n - 1	)
								UpperCamelCase          =					1 + min(A_    ,				A_    ,				A_	)

						return self.dp[m][n]



		def __UpperCamelCase			(			self    ,				A_    ,				A_	)  -> int:
				"""simple docstring"""
				UpperCamelCase          =					worda
				UpperCamelCase          =					worda
				UpperCamelCase          =					[[-1 for _ in range(len(A_	)	)] for _ in range(len(A_	)	)]

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



		def __UpperCamelCase			(			self    ,				A_    ,				A_	)  -> int:
				"""simple docstring"""
				UpperCamelCase          =					worda
				UpperCamelCase          =					worda
				UpperCamelCase          =					len(A_	)
				UpperCamelCase          =					len(A_	)
				UpperCamelCase          =					[[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          =					j
								elif j == 0:  # second string is empty
										UpperCamelCase          =					i
								elif worda[i - 1] == worda[j - 1]:  # last characters are equal
										UpperCamelCase          =					self.dp[i - 1][j - 1]
								else:
										UpperCamelCase          =					self.dp[i][j - 1]
										UpperCamelCase          =					self.dp[i - 1][j]
										UpperCamelCase          =					self.dp[i - 1][j - 1]
										UpperCamelCase          =					1 + min(A_    ,				A_    ,				A_	)
				return self.dp[m][n]


if __name__ == "__main__":
					_UpperCAmelCase :			Tuple              =	EditDistance()

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

					_UpperCAmelCase :			Dict              =	input("Enter the first string: ").strip()
					_UpperCAmelCase :			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 json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin


class     lowercase (		_SCREAMING_SNAKE_CASE  ,       unittest.TestCase       ):
		__lowercase	:	Any     					=    CTRLTokenizer
		__lowercase	:	Any     					=    False
		__lowercase	:	Union[str, Any]     					=    False



		def __UpperCamelCase			(			self	)  -> Any:
				"""simple docstring"""
				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				UpperCamelCase          =					['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
				UpperCamelCase          =					dict(zip(A_    ,				range(len(A_	)	)	)	)
				UpperCamelCase          =					['#version: 0.2', 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
				UpperCamelCase          =					{'unk_token': '<unk>'}

				UpperCamelCase          =					os.path.join(self.tmpdirname    ,				VOCAB_FILES_NAMES['vocab_file']	)
				UpperCamelCase          =					os.path.join(self.tmpdirname    ,				VOCAB_FILES_NAMES['merges_file']	)
				with open(self.vocab_file    ,				'w'    ,				encoding='utf-8'	) as fp:
						fp.write(json.dumps(A_	) + '\n'	)
				with open(self.merges_file    ,				'w'    ,				encoding='utf-8'	) as fp:
						fp.write('\n'.join(A_	)	)



		def __UpperCamelCase			(			self    ,				**A_	)  -> List[Any]:
				"""simple docstring"""
				kwargs.update(self.special_tokens_map	)
				return CTRLTokenizer.from_pretrained(self.tmpdirname    ,				**A_	)



		def __UpperCamelCase			(			self    ,				A_	)  -> Optional[Any]:
				"""simple docstring"""
				UpperCamelCase          =					'adapt react readapt apt'
				UpperCamelCase          =					'adapt react readapt apt'
				return input_text, output_text



		def __UpperCamelCase			(			self	)  -> str:
				"""simple docstring"""
				UpperCamelCase          =					CTRLTokenizer(self.vocab_file    ,				self.merges_file    ,				**self.special_tokens_map	)
				UpperCamelCase          =					'adapt react readapt apt'
				UpperCamelCase          =					'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
				UpperCamelCase          =					tokenizer.tokenize(A_	)
				self.assertListEqual(A_    ,				A_	)

				UpperCamelCase          =					tokens + [tokenizer.unk_token]

				UpperCamelCase          =					[0, 1, 2, 4, 5, 1, 0, 3, 6]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(A_	)    ,				A_	)
