

'''simple docstring'''





_UpperCAmelCase	:     Dict		       = 256
# Modulus to hash a string
_UpperCAmelCase	:     List[Any]		       = 100_0003





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					len(UpperCamelCase__   )
							snake_case_           =					len(UpperCamelCase__   )
							if p_len > t_len:
														return False

							snake_case_           =					0
							snake_case_           =					0
							snake_case_           =					1

							# Calculating the hash of pattern and substring of text
							for i in range(UpperCamelCase__   ):
														snake_case_           =					(ord(pattern[i]   ) + p_hash * alphabet_size) % modulus
														snake_case_           =					(ord(text[i]   ) + text_hash * alphabet_size) % modulus
														if i == p_len - 1:
																					continue
														snake_case_           =					(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
														snake_case_           =					(
														    (text_hash - ord(text[i]   ) * modulus_power) * alphabet_size
														    + ord(text[i + p_len]   )
														) % modulus
							return False





def       __lowerCamelCase			(				):







							'''simple docstring'''






							snake_case_           =					'abc1abc12'
							snake_case_           =					'alskfjaldsabc1abc1abc12k23adsfabcabc'
							snake_case_           =					'alskfjaldsk23adsfabcabc'
							assert rabin_karp(UpperCamelCase__     ,							UpperCamelCase__   ) and not rabin_karp(UpperCamelCase__     ,							UpperCamelCase__   )

							# Test 2)
							snake_case_           =					'ABABX'
							snake_case_           =					'ABABZABABYABABX'
							assert rabin_karp(UpperCamelCase__     ,							UpperCamelCase__   )

							# Test 3)
							snake_case_           =					'AAAB'
							snake_case_           =					'ABAAAAAB'
							assert rabin_karp(UpperCamelCase__     ,							UpperCamelCase__   )

							# Test 4)
							snake_case_           =					'abcdabcy'
							snake_case_           =					'abcxabcdabxabcdabcdabcy'
							assert rabin_karp(UpperCamelCase__     ,							UpperCamelCase__   )

							# Test 5)
							snake_case_           =					'Lü'
							snake_case_           =					'Lüsai'
							assert rabin_karp(UpperCamelCase__     ,							UpperCamelCase__   )
							snake_case_           =					'Lue'
							assert not rabin_karp(UpperCamelCase__     ,							UpperCamelCase__   )
							print('Success.'   )


if __name__ == "__main__":
					test_rabin_karp()







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


_UpperCAmelCase	:     Any		       = {
    """configuration_longt5""": ["""LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LongT5Config""", """LongT5OnnxConfig"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase	:     Any		       = [
					    """LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """LongT5EncoderModel""",
					    """LongT5ForConditionalGeneration""",
					    """LongT5Model""",
					    """LongT5PreTrainedModel""",
					]

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase	:     Optional[int]		       = [
					    """FlaxLongT5ForConditionalGeneration""",
					    """FlaxLongT5Model""",
					    """FlaxLongT5PreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_longta import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongTaConfig, LongTaOnnxConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_longta import (
										    LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
										    LongTaEncoderModel,
										    LongTaForConditionalGeneration,
										    LongTaModel,
										    LongTaPreTrainedModel,
										)

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_longta import (
										    FlaxLongTaForConditionalGeneration,
										    FlaxLongTaModel,
										    FlaxLongTaPreTrainedModel,
										)


else:
					import sys

					_UpperCAmelCase	:     Optional[Any]		       = _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




