




class 						A:



	'''simple docstring'''


	def __init__(       self      :						Any		,							A_      :						list						)     ->			None:

							"""simple docstring"""






							lowerCamelCase_	  =					set_counts
							lowerCamelCase_	  =					max(A_						)
							lowerCamelCase_	  =					len(A_						)
							lowerCamelCase_	  =					[1] * num_sets
							lowerCamelCase_	  =					list(range(A_						)						)

	def        a__				(       self      :						Any		,							A_      :						int		,							A_      :						int						)     ->			bool:

							"""simple docstring"""






							lowerCamelCase_	  =					self.get_parent(A_						)
							lowerCamelCase_	  =					self.get_parent(A_						)

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

							lowerCamelCase_	  =					max(self.max_set		,							A_						)
							return True





	def        a__				(       self      :						Tuple		,							A_      :						int						)     ->			int:

							"""simple docstring"""






							if self.parents[disj_set] == disj_set:
													return disj_set
							lowerCamelCase_	  =					self.get_parent(self.parents[disj_set]						)
							return self.parents[disj_set]









from typing import TYPE_CHECKING

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


lowerCamelCase       :	Dict									=     {"configuration_vit": ["VIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTConfig", "ViTOnnxConfig"]}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase       :	Optional[int]									=     ["ViTFeatureExtractor"]
 lowerCamelCase       :	Dict									=     ["ViTImageProcessor"]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase       :	int									=     [
     "VIT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "ViTForImageClassification",
     "ViTForMaskedImageModeling",
     "ViTModel",
     "ViTPreTrainedModel",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase       :	Tuple									=     [
     "TFViTForImageClassification",
     "TFViTModel",
     "TFViTPreTrainedModel",
 ]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase       :	Dict									=     [
     "FlaxViTForImageClassification",
     "FlaxViTModel",
     "FlaxViTPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig, ViTOnnxConfig

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_vit import ViTFeatureExtractor
  from .image_processing_vit import ViTImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_vit import (
      VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      ViTForImageClassification,
      ViTForMaskedImageModeling,
      ViTModel,
      ViTPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel


else:
 import sys

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



