

'''simple docstring'''





import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
							import torch

							from transformers.activations import gelu_new, gelu_python, get_activation





@require_torch
class 		__SCREAMING_SNAKE_CASE							(			unittest.TestCase      ):







				def  lowerCamelCase_	(       self     :		List[str]   ):
										'''simple docstring'''
										lowercase :							Dict    		=torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]   )
										lowercase :							int    		=get_activation('''gelu'''   )
										self.assertTrue(torch.allclose(gelu_python(UpperCAmelCase__   )		,					torch_builtin(UpperCAmelCase__   )   )   )
										self.assertFalse(torch.allclose(gelu_python(UpperCAmelCase__   )		,					gelu_new(UpperCAmelCase__   )   )   )







				def  lowerCamelCase_	(       self     :		List[str]   ):
										'''simple docstring'''
										lowercase :							Union[str, Any]    		=torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]   )
										lowercase :							List[str]    		=get_activation('''gelu'''   )
										lowercase :							Optional[int]    		=get_activation('''gelu_10'''   )

										lowercase :							Union[str, Any]    		=torch_builtin(UpperCAmelCase__   )
										lowercase :							int    		=geluaa(UpperCAmelCase__   )

										lowercase :							Dict    		=torch.where(y_gelu_aa < 10.0		,					1		,					0   )

										self.assertTrue(torch.max(UpperCAmelCase__   ).item() == 10.0   )
										self.assertTrue(torch.allclose(y_gelu * clipped_mask		,					y_gelu_aa * clipped_mask   )   )







				def  lowerCamelCase_	(       self     :		str   ):
										'''simple docstring'''
										get_activation('''gelu'''   )
										get_activation('''gelu_10'''   )
										get_activation('''gelu_fast'''   )
										get_activation('''gelu_new'''   )
										get_activation('''gelu_python'''   )
										get_activation('''gelu_pytorch_tanh'''   )
										get_activation('''linear'''   )
										get_activation('''mish'''   )
										get_activation('''quick_gelu'''   )
										get_activation('''relu'''   )
										get_activation('''sigmoid'''   )
										get_activation('''silu'''   )
										get_activation('''swish'''   )
										get_activation('''tanh'''   )
										with self.assertRaises(UpperCAmelCase__   ):
																get_activation('''bogus'''   )
										with self.assertRaises(UpperCAmelCase__   ):
																get_activation(UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		Optional[Any]   ):
										'''simple docstring'''
										lowercase :							Tuple    		=get_activation('''gelu'''   )
										lowercase :							Optional[int]    		=1
										lowercase :							List[Any]    		=get_activation('''gelu'''   )
										self.assertEqual(acta.a		,					1   )
										with self.assertRaises(UpperCAmelCase__   ):
																lowercase :							Tuple    		=acta.a











'''simple docstring'''
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		bool:
			A_									= len(SCREAMING_SNAKE_CASE_     ) + 1
			A_									= len(SCREAMING_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.
			A_									= [[0 for i in range(SCREAMING_SNAKE_CASE_     )] for j in range(SCREAMING_SNAKE_CASE_     )]

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

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

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

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




