



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,
)


lowerCAmelCase__       =  {
    '''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:
				lowerCAmelCase__       =  ['''CLIPTokenizerFast''']

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       =  ['''CLIPFeatureExtractor''']
				lowerCAmelCase__       =  ['''CLIPImageProcessor''']

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

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       =  [
				    '''TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''TFCLIPModel''',
				    '''TFCLIPPreTrainedModel''',
				    '''TFCLIPTextModel''',
				    '''TFCLIPVisionModel''',
				]

try:
				if not is_flax_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       =  [
				    '''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

				lowerCAmelCase__       =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)








"""simple docstring"""







from bisect import bisect
from itertools import accumulate


def      lowercase			(				A_  ,   A_  ,   A_  ,   A_       )->      Union[str, Any]:
  '''simple docstring'''







  a						:		Any      							=			sorted(zip(A_  ,   A_       )  ,   key=lambda A_       : x[0] / x[1]  ,   reverse=A_       )
  a							,		a						:		int      							=			[i[0] for i in r], [i[1] for i in r]
  a						:		Union[str, Any]      							=			list(accumulate(A_       )       )
  a						:		Optional[Any]      							=			bisect(A_  ,   A_       )
  return (
      0
      if k == 0
      else sum(vl[:k]       ) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
      if k != n
      else sum(vl[:k]       )
  )


if __name__ == "__main__":
 import doctest

 doctest.testmod()






