
import json
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin





class       _snake_case					(     snake_case				,						unittest.TestCase				):
			UpperCamelCase__          =    CTRLTokenizer
			UpperCamelCase__          =    False
			UpperCamelCase__          =    False







			def 			SCREAMING_SNAKE_CASE    (				self		):
				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				__magic_name__		:		Any	   =     ["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
				__magic_name__		:		Tuple	   =     dict(zip(_a						,   range(len(_a		)		)		)		)
				__magic_name__		:		int	   =     ["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
				__magic_name__		:		Tuple	   =     {"unk_token": "<unk>"}

				__magic_name__		:		Dict	   =     os.path.join(self.tmpdirname						,   VOCAB_FILES_NAMES["vocab_file"]		)
				__magic_name__		:		Optional[Any]	   =     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 			SCREAMING_SNAKE_CASE    (				self						,   **_a		):
				kwargs.update(self.special_tokens_map		)
				return CTRLTokenizer.from_pretrained(self.tmpdirname						,   **_a		)







			def 			SCREAMING_SNAKE_CASE    (				self						,   _a		):
				__magic_name__		:		Dict	   =     "adapt react readapt apt"
				__magic_name__		:		Dict	   =     "adapt react readapt apt"
				return input_text, output_text







			def 			SCREAMING_SNAKE_CASE    (				self		):
				__magic_name__		:		Optional[Any]	   =     CTRLTokenizer(self.vocab_file						,   self.merges_file						,   **self.special_tokens_map		)
				__magic_name__		:		Tuple	   =     "adapt react readapt apt"
				__magic_name__		:		Tuple	   =     "adapt re@@ a@@ c@@ t re@@ adapt apt".split()
				__magic_name__		:		Dict	   =     tokenizer.tokenize(_a		)
				self.assertListEqual(_a						,   _a		)

				__magic_name__		:		Dict	   =     tokens + [tokenizer.unk_token]

				__magic_name__		:		str	   =     [0, 1, 2, 4, 5, 1, 0, 3, 6]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(_a		)						,   _a		)


def   lowerCAmelCase_						(					_snake_case      :  str      ,   _snake_case      :  str   )				->		bool:







	'''simple docstring'''


	__magic_name__		:		Union[str, Any]	   =     len(_snake_case   ) + 1
	__magic_name__		:		List[str]	   =     len(_snake_case   ) + 1

	# dp is a 2d matrix where dp[i][j] denotes whether prefix string of
	# length i of input_string matches with prefix string of length j of
	# given pattern.
	# "dp" stands for dynamic programming.
	__magic_name__		:		str	   =     [[0 for i in range(_snake_case   )] for j in range(_snake_case   )]

	# since string of zero length match pattern of zero length
	__magic_name__		:		Optional[int]	   =     1

	# since pattern of zero length will never match with string of non-zero length
	for i in range(1      ,   _snake_case   ):
		__magic_name__		:		Optional[int]	   =     0

	# since string of zero length will match with pattern where there
	# is at least one * alternatively
	for j in range(1      ,   _snake_case   ):
		__magic_name__		:		Union[str, Any]	   =     dp[0][j - 2] if pattern[j - 1] == "*" else 0

	# now using bottom-up approach to find for all remaining lengths
	for i in range(1      ,   _snake_case   ):
		for j in range(1      ,   _snake_case   ):
			if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
				__magic_name__		:		Optional[int]	   =     dp[i - 1][j - 1]

			elif pattern[j - 1] == "*":
				if dp[i][j - 2] == 1:
					__magic_name__		:		Optional[Any]	   =     1
				elif pattern[j - 2] in (input_string[i - 1], "."):
					__magic_name__		:		List[Any]	   =     dp[i - 1][j]
				else:
					__magic_name__		:		Union[str, Any]	   =     0
			else:
				__magic_name__		:		Dict	   =     0

	return bool(dp[-1][-1]   )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				# inputing the strings
				# input_string = input("input a string :")
				# pattern = input("input a pattern :")

				snake_case :		Optional[Any]							      =  "aab"
				snake_case :		List[str]							      =  "c*a*b"

				# using function to check whether given string matches the given pattern
				if match_pattern(input_string, pattern):
								print(F"{input_string} matches the given pattern {pattern}")
				else:
								print(F"{input_string} does not match with the given pattern {pattern}")
