
def        a_		(       __lowercase   :	str       ,					__lowercase   :	str ) ->  bool:
			_snake_case		=			len(__lowercase ) + 1
			_snake_case		=			len(__lowercase ) + 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.
			_snake_case		=			[[0 for i in range(__lowercase )] for j in range(__lowercase )]

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

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

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

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

			_lowerCamelCase       :				Any       =			'''aab'''
			_lowerCamelCase       :				Dict       =			'''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}')

import unittest

from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow


if is_flax_available():
			import jax.numpy as jnp

			from transformers import FlaxXLMRobertaModel




@require_sentencepiece
@require_tokenizers
@require_flax
class    SCREAMING_SNAKE_CASE__     (	unittest.TestCase					):





	'''simple docstring'''



	@slow
	def  A							(  self	:    int	):


				'''simple docstring'''


				_snake_case		=			FlaxXLMRobertaModel.from_pretrained('xlm-roberta-base'	)
				_snake_case		=			AutoTokenizer.from_pretrained('xlm-roberta-base'	)
				_snake_case		=			'The dog is cute and lives in the garden house'
				_snake_case		=			jnp.array([tokenizer.encode(lowercase	)]	)

				_snake_case		=			(1, 12, 768)  # batch_size, sequence_length, embedding_vector_dim
				_snake_case		=			jnp.array(
				    [[-0.0101, 0.1218, -0.0803, 0.0801, 0.1327, 0.0776, -0.1215, 0.2383, 0.3338, 0.3106, 0.0300, 0.0252]]	)

				_snake_case		=			model(lowercase	)['last_hidden_state']
				self.assertEqual(output.shape			,  lowercase	)
				# compare the actual values for a slice of last dim
				self.assertTrue(jnp.allclose(output[:, :, -1]			,  lowercase			,  atol=1E-3	)	)