





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__:      str									=		{
    'configuration_owlvit': [
        'OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'OwlViTConfig',
        'OwlViTOnnxConfig',
        'OwlViTTextConfig',
        'OwlViTVisionConfig',
    ],
    'processing_owlvit': ['OwlViTProcessor'],
}


try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a__:      int									=		['OwlViTFeatureExtractor']
       a__:      Optional[int]									=		['OwlViTImageProcessor']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a__:      Optional[int]									=		[
           'OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
           'OwlViTModel',
           'OwlViTPreTrainedModel',
           'OwlViTTextModel',
           'OwlViTVisionModel',
           'OwlViTForObjectDetection',
       ]

if TYPE_CHECKING:
       from .configuration_owlvit import (
           OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
           OwlViTConfig,
           OwlViTOnnxConfig,
           OwlViTTextConfig,
           OwlViTVisionConfig,
       )
       from .processing_owlvit import OwlViTProcessor

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_owlvit import OwlViTFeatureExtractor
              from .image_processing_owlvit import OwlViTImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_owlvit import (
                  OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  OwlViTForObjectDetection,
                  OwlViTModel,
                  OwlViTPreTrainedModel,
                  OwlViTTextModel,
                  OwlViTVisionModel,
              )

else:
       import sys

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












class     SCREAMING_SNAKE_CASE__ :



 def __init__(							self,__lowerCamelCase ):
        A__											=						set_counts
        A__											=						max(__lowerCamelCase )
        A__											=						len(__lowerCamelCase )
        A__											=						[1] * num_sets
        A__											=						list(range(__lowerCamelCase ) )



 def 				UpperCamelCase			(							self,__lowerCamelCase,__lowerCamelCase ):
        A__											=						self.get_parent(__lowerCamelCase )
        A__											=						self.get_parent(__lowerCamelCase )

        if src_parent == dst_parent:
               return False

        if self.ranks[dst_parent] >= self.ranks[src_parent]:
               self.set_counts[dst_parent] += self.set_counts[src_parent]
               A__											=						0
               A__											=						dst_parent
               if self.ranks[dst_parent] == self.ranks[src_parent]:
                      self.ranks[dst_parent] += 1
               A__											=						self.set_counts[dst_parent]
        else:
               self.set_counts[src_parent] += self.set_counts[dst_parent]
               A__											=						0
               A__											=						src_parent
               A__											=						self.set_counts[src_parent]

        A__											=						max(self.max_set,__lowerCamelCase )
        return True




 def 				UpperCamelCase			(							self,__lowerCamelCase ):
        if self.parents[disj_set] == disj_set:
               return disj_set
        A__											=						self.get_parent(self.parents[disj_set] )
        return self.parents[disj_set]





