






'''simple docstring'''



from __future__ import annotations

from random import choice



def    __UpperCAmelCase	(				SCREAMING_SNAKE_CASE__:	int    )  ->			str:

   """simple docstring"""
   return choice(SCREAMING_SNAKE_CASE__    )



def    __UpperCAmelCase	(				SCREAMING_SNAKE_CASE__:	list[int],					SCREAMING_SNAKE_CASE__:	int    )  ->			int:

   """simple docstring"""
   __a				     =    random_pivot(SCREAMING_SNAKE_CASE__    )

   # partition based on pivot
   # linear time
   __a				     =    [e for e in lst if e < pivot]
   __a				     =    [e for e in lst if e > pivot]

   # if we get lucky, pivot might be the element we want.
   # we can easily see this:
   # small (elements smaller than k)
   # + pivot (kth element)
   # + big (elements larger than k)
   if len(SCREAMING_SNAKE_CASE__    ) == k - 1:
      return pivot
   # pivot is in elements bigger than k
   elif len(SCREAMING_SNAKE_CASE__    ) < k - 1:
      return kth_number(SCREAMING_SNAKE_CASE__,					k - len(SCREAMING_SNAKE_CASE__    ) - 1    )
   # pivot is in elements smaller than k
   else:
      return kth_number(SCREAMING_SNAKE_CASE__,					SCREAMING_SNAKE_CASE__    )


if __name__ == "__main__":
 import doctest

 doctest.testmod()







'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCamelCase      :       Tuple      			=      {
    """configuration_blip_2""": [
        """BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """Blip2Config""",
        """Blip2QFormerConfig""",
        """Blip2VisionConfig""",
    ],
    """processing_blip_2""": ["""Blip2Processor"""],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __UpperCamelCase      :       Optional[int]      			=      [
     """BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """Blip2Model""",
     """Blip2QFormerModel""",
     """Blip2PreTrainedModel""",
     """Blip2ForConditionalGeneration""",
     """Blip2VisionModel""",
 ]

if TYPE_CHECKING:
 from .configuration_blip_a import (
     BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
     BlipaConfig,
     BlipaQFormerConfig,
     BlipaVisionConfig,
 )
 from .processing_blip_a import BlipaProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_blip_a import (
      BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST,
      BlipaForConditionalGeneration,
      BlipaModel,
      BlipaPreTrainedModel,
      BlipaQFormerModel,
      BlipaVisionModel,
  )

else:
 import sys

 __UpperCamelCase      :       Dict      			=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)