
from .hash_table import HashTable
from .number_theory.prime_numbers import is_prime, next_prime


class 		__magic_name__   (						snake_case    ):





		def __init__(							self    :	Optional[int]						,  *lowerCamelCase__    :	Optional[Any]						,  **lowerCamelCase__    :	Dict				):
							super().__init__(*lowerCamelCase__						,  **lowerCamelCase__				)





		def       _A							(							self    :	Optional[Any]						,  lowerCamelCase__    :	List[str]						,  lowerCamelCase__    :	List[str]				):
							lowerCAmelCase		:					Optional[int]  	=     (
							    next_prime(value % self.size_table				)
							    if not is_prime(value % self.size_table				)
							    else value % self.size_table
							)  # gt = bigger than
							return next_prime_gt - (data % next_prime_gt)





		def       _A							(							self    :	int						,  lowerCamelCase__    :	Tuple						,  lowerCamelCase__    :	Union[str, Any]						,  lowerCamelCase__    :	int				):
							return (increment * self.__hash_function_a(lowerCamelCase__						,  lowerCamelCase__				)) % self.size_table





		def       _A							(							self    :	Union[str, Any]						,  lowerCamelCase__    :	Dict						,  lowerCamelCase__    :	int=None				):
							lowerCAmelCase		:					Tuple  	=     1
							lowerCAmelCase		:					List[str]  	=     self.hash_function(lowerCamelCase__				)

							while self.values[new_key] is not None and self.values[new_key] != key:
												lowerCAmelCase		:					List[str]  	=     (
												    self.__hash_double_function(lowerCamelCase__						,  lowerCamelCase__						,  lowerCamelCase__				)
												    if self.balanced_factor() >= self.lim_charge
												    else None
												)
												if new_key is None:
																	break
												else:
																	i += 1

							return new_key


from typing import TYPE_CHECKING

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


__SCREAMING_SNAKE_CASE			:   List[str]         =     {'configuration_vilt': ['VILT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViltConfig']}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE			:   Any         =     ['ViltFeatureExtractor']
		__SCREAMING_SNAKE_CASE			:   Optional[int]         =     ['ViltImageProcessor']
		__SCREAMING_SNAKE_CASE			:   str         =     ['ViltProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE			:   Dict         =     [
		    'VILT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'ViltForImageAndTextRetrieval',
		    'ViltForImagesAndTextClassification',
		    'ViltForTokenClassification',
		    'ViltForMaskedLM',
		    'ViltForQuestionAnswering',
		    'ViltLayer',
		    'ViltModel',
		    'ViltPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_vilt import ViltFeatureExtractor
				from .image_processing_vilt import ViltImageProcessor
				from .processing_vilt import ViltProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vilt import (
				    VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ViltForImageAndTextRetrieval,
				    ViltForImagesAndTextClassification,
				    ViltForMaskedLM,
				    ViltForQuestionAnswering,
				    ViltForTokenClassification,
				    ViltLayer,
				    ViltModel,
				    ViltPreTrainedModel,
				)


else:
		import sys

		__SCREAMING_SNAKE_CASE			:   Optional[Any]         =     _LazyModule(__name__, globals()['__file__'], _import_structure)
