





'''simple docstring'''



import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 							__lowercase    ( lowerCAmelCase__	, unittest.TestCase  ):







	'''simple docstring'''

	a      :			Any     =    None
	a      :			Optional[Any]     =    BloomTokenizerFast
	a      :			str     =    BloomTokenizerFast
	a      :			int     =    True
	a      :			Optional[int]     =    False
	a      :			List[str]     =    "tokenizer_file"
	a      :			List[Any]     =    {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}


	def   _UpperCAmelCase       (self	)							->							Dict:







				'''simple docstring'''





				super().setUp()
				__lowercase			  =							BloomTokenizerFast.from_pretrained('''bigscience/tokenizer'''	)
				tokenizer.save_pretrained(self.tmpdirname	)


	def   _UpperCAmelCase       (self       ,**_lowerCamelCase	)							->							Any:







				'''simple docstring'''





				kwargs.update(self.special_tokens_map	)
				return BloomTokenizerFast.from_pretrained(self.tmpdirname       ,**_lowerCamelCase	)


	def   _UpperCAmelCase       (self	)							->							Tuple:







				'''simple docstring'''





				__lowercase			  =							self.get_rust_tokenizer()

				__lowercase			  =							['''The quick brown fox</s>''', '''jumps over the lazy dog</s>''']
				__lowercase			  =							[[2175, 23714, 73173, 144252, 2], [77, 132619, 3478, 368, 109586, 35433, 2]]

				__lowercase			  =							tokenizer.batch_encode_plus(_lowerCamelCase	)['''input_ids''']
				self.assertListEqual(_lowerCamelCase       ,_lowerCamelCase	)

				__lowercase			  =							tokenizer.batch_decode(_lowerCamelCase	)
				self.assertListEqual(_lowerCamelCase       ,_lowerCamelCase	)


	def   _UpperCAmelCase       (self       ,_lowerCamelCase=6	)							->							Union[str, Any]:







				'''simple docstring'''





				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"	):
										__lowercase			  =							self.rust_tokenizer_class.from_pretrained(_lowerCamelCase       ,**_lowerCamelCase	)
										# tokenizer_r.pad_token = None # Hotfixing padding = None
										# Simple input
										__lowercase			  =							'''This is a simple input'''
										__lowercase			  =							['''This is a simple input 1''', '''This is a simple input 2''']
										__lowercase			  =							('''This is a simple input''', '''This is a pair''')
										__lowercase			  =							[
										    ('''This is a simple input 1''', '''This is a simple input 2'''),
										    ('''This is a simple pair 1''', '''This is a simple pair 2'''),
										]

										# Simple input tests
										try:
													tokenizer_r.encode(_lowerCamelCase       ,max_length=_lowerCamelCase	)
													tokenizer_r.encode_plus(_lowerCamelCase       ,max_length=_lowerCamelCase	)

													tokenizer_r.batch_encode_plus(_lowerCamelCase       ,max_length=_lowerCamelCase	)
													tokenizer_r.encode(_lowerCamelCase       ,max_length=_lowerCamelCase	)
													tokenizer_r.batch_encode_plus(_lowerCamelCase       ,max_length=_lowerCamelCase	)
										except ValueError:
													self.fail('''Bloom Tokenizer should be able to deal with padding'''	)

										__lowercase			  =							None  # Hotfixing padding = None
										self.assertRaises(_lowerCamelCase       ,tokenizer_r.encode       ,_lowerCamelCase       ,max_length=_lowerCamelCase       ,padding='''max_length'''	)

										# Simple input
										self.assertRaises(_lowerCamelCase       ,tokenizer_r.encode_plus       ,_lowerCamelCase       ,max_length=_lowerCamelCase       ,padding='''max_length'''	)

										# Simple input
										self.assertRaises(
										    _lowerCamelCase       ,tokenizer_r.batch_encode_plus       ,_lowerCamelCase       ,max_length=_lowerCamelCase       ,padding='''max_length'''       ,)

										# Pair input
										self.assertRaises(_lowerCamelCase       ,tokenizer_r.encode       ,_lowerCamelCase       ,max_length=_lowerCamelCase       ,padding='''max_length'''	)

										# Pair input
										self.assertRaises(_lowerCamelCase       ,tokenizer_r.encode_plus       ,_lowerCamelCase       ,max_length=_lowerCamelCase       ,padding='''max_length'''	)

										# Pair input
										self.assertRaises(
										    _lowerCamelCase       ,tokenizer_r.batch_encode_plus       ,_lowerCamelCase       ,max_length=_lowerCamelCase       ,padding='''max_length'''       ,)


	def   _UpperCAmelCase       (self	)							->							Optional[Any]:







				'''simple docstring'''





				__lowercase			  =							self.get_rust_tokenizer()
				__lowercase			  =							load_dataset('''xnli'''       ,'''all_languages'''       ,split='''test'''       ,streaming=_lowerCamelCase	)

				__lowercase			  =							next(iter(_lowerCamelCase	)	)['''premise''']  # pick up one data
				__lowercase			  =							list(sample_data.values()	)

				__lowercase			  =							list(map(tokenizer.encode       ,_lowerCamelCase	)	)
				__lowercase			  =							[tokenizer.decode(_lowerCamelCase       ,clean_up_tokenization_spaces=_lowerCamelCase	) for x in output_tokens]
				self.assertListEqual(_lowerCamelCase       ,_lowerCamelCase	)


	def   _UpperCAmelCase       (self	)							->							Optional[int]:







				'''simple docstring'''





				self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map	)       ,1	)
				self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()	)[0]	)       ,1	)












'''simple docstring'''



def 				_lowerCAmelCase  (			lowerCamelCase_     :					str						,    lowerCamelCase_     :					str			):
			__lowercase			  =							len(lowerCamelCase_			) + 1
			__lowercase			  =							len(lowerCamelCase_			) + 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.
			__lowercase			  =							[[0 for i in range(lowerCamelCase_			)] for j in range(lowerCamelCase_			)]

			# since string of zero length match pattern of zero length
			__lowercase			  =							1

			# since pattern of zero length will never match with string of non-zero length
			for i in range(1						,    lowerCamelCase_			):
						__lowercase			  =							0

			# since string of zero length will match with pattern where there
			# is at least one * alternatively
			for j in range(1						,    lowerCamelCase_			):
						__lowercase			  =							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						,    lowerCamelCase_			):
						for j in range(1						,    lowerCamelCase_			):
									if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
												__lowercase			  =							dp[i - 1][j - 1]

									elif pattern[j - 1] == "*":
												if dp[i][j - 2] == 1:
															__lowercase			  =							1
												elif pattern[j - 2] in (input_string[i - 1], "."):
															__lowercase			  =							dp[i - 1][j]
												else:
															__lowercase			  =							0
									else:
												__lowercase			  =							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 :")

	_SCREAMING_SNAKE_CASE   =      '''aab'''
	_SCREAMING_SNAKE_CASE   =      '''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}''')





