


'''simple docstring'''


UpperCAmelCase_		:   Optional[Any]							   =		256
# Modulus to hash a string
UpperCAmelCase_		:   List[Any]							   =		100_0003







def 			snake_case_   (  SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       int     		=      len(SCREAMING_SNAKE_CASE__     )
				_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      len(SCREAMING_SNAKE_CASE__     )
				if p_len > t_len:
								return False

				_SCREAMING_SNAKE_CASE :       Tuple     		=      0
				_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      0
				_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      1

				# Calculating the hash of pattern and substring of text
				for i in range(SCREAMING_SNAKE_CASE__     ):
								_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      (ord(pattern[i]     ) + p_hash * alphabet_size) % modulus
								_SCREAMING_SNAKE_CASE :       str     		=      (ord(text[i]     ) + text_hash * alphabet_size) % modulus
								if i == p_len - 1:
												continue
								_SCREAMING_SNAKE_CASE :       List[str]     		=      (modulus_power * alphabet_size) % modulus

				for i in range(0							,      t_len - p_len + 1     ):
								if text_hash == p_hash and text[i : i + p_len] == pattern:
												return True
								if i == t_len - p_len:
												continue
								# Calculate the https://en.wikipedia.org/wiki/Rolling_hash
								_SCREAMING_SNAKE_CASE :       str     		=      (
								    (text_hash - ord(text[i]     ) * modulus_power) * alphabet_size
								    + ord(text[i + p_len]     )
								) % modulus
				return False







def 			snake_case_   (  ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       Tuple     		=      """abc1abc12"""
				_SCREAMING_SNAKE_CASE :       Any     		=      """alskfjaldsabc1abc1abc12k23adsfabcabc"""
				_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      """alskfjaldsk23adsfabcabc"""
				assert rabin_karp(SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     ) and not rabin_karp(SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     )

				# Test 2)
				_SCREAMING_SNAKE_CASE :       Dict     		=      """ABABX"""
				_SCREAMING_SNAKE_CASE :       Optional[int]     		=      """ABABZABABYABABX"""
				assert rabin_karp(SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     )

				# Test 3)
				_SCREAMING_SNAKE_CASE :       Optional[int]     		=      """AAAB"""
				_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      """ABAAAAAB"""
				assert rabin_karp(SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     )

				# Test 4)
				_SCREAMING_SNAKE_CASE :       Optional[int]     		=      """abcdabcy"""
				_SCREAMING_SNAKE_CASE :       Any     		=      """abcxabcdabxabcdabcdabcy"""
				assert rabin_karp(SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     )

				# Test 5)
				_SCREAMING_SNAKE_CASE :       List[str]     		=      """Lü"""
				_SCREAMING_SNAKE_CASE :       Optional[int]     		=      """Lüsai"""
				assert rabin_karp(SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     )
				_SCREAMING_SNAKE_CASE :       Any     		=      """Lue"""
				assert not rabin_karp(SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     )
				print("""Success."""     )


if __name__ == "__main__":
				test_rabin_karp()








'''simple docstring'''


from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_		:   Dict							   =		logging.get_logger(__name__)

UpperCAmelCase_		:   Optional[int]							   =		{
    'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}





class     lowercase__  (						_snake_case					):





							'''simple docstring'''


							A_							:      Optional[int]      	=  """canine"""






							def __init__(    self    ,					__snake_case=768    ,					__snake_case=12    ,					__snake_case=12    ,					__snake_case=3072    ,					__snake_case="gelu"    ,					__snake_case=0.1    ,					__snake_case=0.1    ,					__snake_case=1_6384    ,					__snake_case=16    ,					__snake_case=0.02    ,					__snake_case=1e-12    ,					__snake_case=0    ,					__snake_case=0XE000    ,					__snake_case=0XE001    ,					__snake_case=4    ,					__snake_case=4    ,					__snake_case=8    ,					__snake_case=1_6384    ,					__snake_case=128    ,					**__snake_case    ,					):
											super().__init__(pad_token_id=__snake_case    ,					bos_token_id=__snake_case    ,					eos_token_id=__snake_case    ,					**__snake_case  )

											_SCREAMING_SNAKE_CASE :       str     		=      max_position_embeddings
											_SCREAMING_SNAKE_CASE :       Any     		=      hidden_size
											_SCREAMING_SNAKE_CASE :       Dict     		=      num_hidden_layers
											_SCREAMING_SNAKE_CASE :       Tuple     		=      num_attention_heads
											_SCREAMING_SNAKE_CASE :       List[str]     		=      intermediate_size
											_SCREAMING_SNAKE_CASE :       Tuple     		=      hidden_act
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      hidden_dropout_prob
											_SCREAMING_SNAKE_CASE :       str     		=      attention_probs_dropout_prob
											_SCREAMING_SNAKE_CASE :       Dict     		=      initializer_range
											_SCREAMING_SNAKE_CASE :       Optional[int]     		=      type_vocab_size
											_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      layer_norm_eps

											# Character config:
											_SCREAMING_SNAKE_CASE :       Any     		=      downsampling_rate
											_SCREAMING_SNAKE_CASE :       List[str]     		=      upsampling_kernel_size
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      num_hash_functions
											_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      num_hash_buckets
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      local_transformer_stride




