__lowerCamelCase					:	Tuple       =  2_56
# Modulus to hash a string
__lowerCamelCase					:	int       =  1_00_00_03




def       _snake_case	(   lowerCAmelCase							:   str   , lowerCAmelCase							:   str	):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		Dict				      =    len(lowerCAmelCase	)
		SCREAMING_SNAKE_CASE_  :		str				      =    len(lowerCAmelCase	)
		if p_len > t_len:
				return False

		SCREAMING_SNAKE_CASE_  :		str				      =    0
		SCREAMING_SNAKE_CASE_  :		Dict				      =    0
		SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    1

		# Calculating the hash of pattern and substring of text
		for i in range(lowerCAmelCase	):
				SCREAMING_SNAKE_CASE_  :		List[str]				      =    (ord(pattern[i]	) + p_hash * alphabet_size) % modulus
				SCREAMING_SNAKE_CASE_  :		List[Any]				      =    (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_  :		Union[str, Any]				      =    (
				    (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_  :		Optional[Any]				      =    "abc1abc12"
		SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    "alskfjaldsabc1abc1abc12k23adsfabcabc"
		SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    "alskfjaldsk23adsfabcabc"
		assert rabin_karp(lowerCAmelCase   , lowerCAmelCase	) and not rabin_karp(lowerCAmelCase   , lowerCAmelCase	)

		# Test 2)
		SCREAMING_SNAKE_CASE_  :		List[Any]				      =    "ABABX"
		SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    "ABABZABABYABABX"
		assert rabin_karp(lowerCAmelCase   , lowerCAmelCase	)

		# Test 3)
		SCREAMING_SNAKE_CASE_  :		Dict				      =    "AAAB"
		SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    "ABAAAAAB"
		assert rabin_karp(lowerCAmelCase   , lowerCAmelCase	)

		# Test 4)
		SCREAMING_SNAKE_CASE_  :		Tuple				      =    "abcdabcy"
		SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    "abcxabcdabxabcdabcdabcy"
		assert rabin_karp(lowerCAmelCase   , lowerCAmelCase	)

		# Test 5)
		SCREAMING_SNAKE_CASE_  :		List[Any]				      =    "Lü"
		SCREAMING_SNAKE_CASE_  :		List[Any]				      =    "Lüsai"
		assert rabin_karp(lowerCAmelCase   , lowerCAmelCase	)
		SCREAMING_SNAKE_CASE_  :		str				      =    "Lue"
		assert not rabin_karp(lowerCAmelCase   , lowerCAmelCase	)
		print("Success."	)


if __name__ == "__main__":
		test_rabin_karp()


'''simple docstring'''







from typing import TYPE_CHECKING

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


lowercase    :							Any      =					{
    "configuration_chinese_clip": [
        "CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ChineseCLIPConfig",
        "ChineseCLIPOnnxConfig",
        "ChineseCLIPTextConfig",
        "ChineseCLIPVisionConfig",
    ],
    "processing_chinese_clip": ["ChineseCLIPProcessor"],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase    :							Optional[Any]      =					["ChineseCLIPFeatureExtractor"]
					lowercase    :							List[Any]      =					["ChineseCLIPImageProcessor"]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase    :							Any      =					[
					    "CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "ChineseCLIPModel",
					    "ChineseCLIPPreTrainedModel",
					    "ChineseCLIPTextModel",
					    "ChineseCLIPVisionModel",
					]

if TYPE_CHECKING:
					from .configuration_chinese_clip import (
					    CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    ChineseCLIPConfig,
					    ChineseCLIPOnnxConfig,
					    ChineseCLIPTextConfig,
					    ChineseCLIPVisionConfig,
					)
					from .processing_chinese_clip import ChineseCLIPProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_chinese_clip import ChineseCLIPFeatureExtractor, ChineseCLIPImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_chinese_clip import (
										    CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    ChineseCLIPModel,
										    ChineseCLIPPreTrainedModel,
										    ChineseCLIPTextModel,
										    ChineseCLIPVisionModel,
										)

else:
					import sys

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

