





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__A				:    Tuple       =   {
    "configuration_clip": [
        "CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPConfig",
        "CLIPOnnxConfig",
        "CLIPTextConfig",
        "CLIPVisionConfig",
    ],
    "processing_clip": ["CLIPProcessor"],
    "tokenization_clip": ["CLIPTokenizer"],
}

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A				:    Union[str, Any]       =   ["CLIPTokenizerFast"]

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A				:    Tuple       =   ["CLIPFeatureExtractor"]
				__A				:    List[str]       =   ["CLIPImageProcessor"]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A				:    str       =   [
				    "CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "CLIPModel",
				    "CLIPPreTrainedModel",
				    "CLIPTextModel",
				    "CLIPTextModelWithProjection",
				    "CLIPVisionModel",
				    "CLIPVisionModelWithProjection",
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A				:    Optional[int]       =   [
				    "TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "TFCLIPModel",
				    "TFCLIPPreTrainedModel",
				    "TFCLIPTextModel",
				    "TFCLIPVisionModel",
				]

try:
				if not is_flax_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A				:    Tuple       =   [
				    "FlaxCLIPModel",
				    "FlaxCLIPPreTrainedModel",
				    "FlaxCLIPTextModel",
				    "FlaxCLIPTextPreTrainedModel",
				    "FlaxCLIPVisionModel",
				    "FlaxCLIPVisionPreTrainedModel",
				]


if TYPE_CHECKING:
				from .configuration_clip import (
				    CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    CLIPConfig,
				    CLIPOnnxConfig,
				    CLIPTextConfig,
				    CLIPVisionConfig,
				)
				from .processing_clip import CLIPProcessor
				from .tokenization_clip import CLIPTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_clip_fast import CLIPTokenizerFast

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_clip import CLIPFeatureExtractor
								from .image_processing_clip import CLIPImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_clip import (
								    CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
								    CLIPModel,
								    CLIPPreTrainedModel,
								    CLIPTextModel,
								    CLIPTextModelWithProjection,
								    CLIPVisionModel,
								    CLIPVisionModelWithProjection,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_clip import (
								    TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
								    TFCLIPModel,
								    TFCLIPPreTrainedModel,
								    TFCLIPTextModel,
								    TFCLIPVisionModel,
								)

				try:
								if not is_flax_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_flax_clip import (
								    FlaxCLIPModel,
								    FlaxCLIPPreTrainedModel,
								    FlaxCLIPTextModel,
								    FlaxCLIPTextPreTrainedModel,
								    FlaxCLIPVisionModel,
								    FlaxCLIPVisionPreTrainedModel,
								)


else:
				import sys

				__A				:    Union[str, Any]       =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)










def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__ )  ->				int:







			'''simple docstring'''

			if exponent == 1:
						return base
			if exponent % 2 == 0:
						UpperCAmelCase   		=				_modexpt(UpperCamelCase__			,			exponent // 2			,			UpperCamelCase__ ) % modulo_value
						return (x * x) % modulo_value
			else:
						return (base * _modexpt(UpperCamelCase__			,			exponent - 1			,			UpperCamelCase__ )) % modulo_value





def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__ = 1777			,			UpperCamelCase__ = 1855			,			UpperCamelCase__ = 8 )  ->				int:







			'''simple docstring'''

			UpperCAmelCase   		=				base
			for _ in range(1			,			UpperCamelCase__ ):
						UpperCAmelCase   		=				_modexpt(UpperCamelCase__			,			UpperCamelCase__			,			10**digits )

			return result


if __name__ == "__main__":
				print(F'{solution() = }')



