



"""simple docstring"""
from __future__ import annotations

import bisect


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase = 0 ,  __lowerCAmelCase = -1							) ->						int:







  '''simple docstring'''


  if hi < 0:
    lowercase_								= len(SCREAMING_SNAKE_CASE_							)

  while lo < hi:
    lowercase_								= lo + (hi - lo) // 2
    if sorted_collection[mid] < item:
      lowercase_								= mid + 1
    else:
      lowercase_								= mid

  return lo


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase = 0 ,  __lowerCAmelCase = -1							) ->						int:







  '''simple docstring'''


  if hi < 0:
    lowercase_								= len(SCREAMING_SNAKE_CASE_							)

  while lo < hi:
    lowercase_								= lo + (hi - lo) // 2
    if sorted_collection[mid] <= item:
      lowercase_								= mid + 1
    else:
      lowercase_								= mid

  return lo


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase = 0 ,  __lowerCAmelCase = -1							) ->						None:







  '''simple docstring'''


  sorted_collection.insert(bisect_left(SCREAMING_SNAKE_CASE_ ,  SCREAMING_SNAKE_CASE_ ,  SCREAMING_SNAKE_CASE_ ,  SCREAMING_SNAKE_CASE_							) ,  SCREAMING_SNAKE_CASE_							)


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase = 0 ,  __lowerCAmelCase = -1							) ->						None:







  '''simple docstring'''


  sorted_collection.insert(bisect_right(SCREAMING_SNAKE_CASE_ ,  SCREAMING_SNAKE_CASE_ ,  SCREAMING_SNAKE_CASE_ ,  SCREAMING_SNAKE_CASE_							) ,  SCREAMING_SNAKE_CASE_							)


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase ,  __lowerCAmelCase							) ->						int | None:







  '''simple docstring'''


  lowercase_								= 0
  lowercase_								= len(SCREAMING_SNAKE_CASE_							) - 1

  while left <= right:
    lowercase_								= left + (right - left) // 2
    lowercase_								= sorted_collection[midpoint]
    if current_item == item:
      return midpoint
    elif item < current_item:
      lowercase_								= midpoint - 1
    else:
      lowercase_								= midpoint + 1
  return None


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase ,  __lowerCAmelCase							) ->						int | None:







  '''simple docstring'''


  lowercase_								= bisect.bisect_left(SCREAMING_SNAKE_CASE_ ,  SCREAMING_SNAKE_CASE_							)
  if index != len(SCREAMING_SNAKE_CASE_							) and sorted_collection[index] == item:
    return index
  return None


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase							) ->						int | None:







  '''simple docstring'''


  if right < left:
    return None

  lowercase_								= left + (right - left) // 2

  if sorted_collection[midpoint] == item:
    return midpoint
  elif sorted_collection[midpoint] > item:
    return binary_search_by_recursion(SCREAMING_SNAKE_CASE_ ,  SCREAMING_SNAKE_CASE_ ,  SCREAMING_SNAKE_CASE_ ,  midpoint - 1							)
  else:
    return binary_search_by_recursion(SCREAMING_SNAKE_CASE_ ,  SCREAMING_SNAKE_CASE_ ,  midpoint + 1 ,  SCREAMING_SNAKE_CASE_							)


if __name__ == "__main__":
       UpperCAmelCase						:		str			= input("Enter numbers separated by comma:\n").strip()
       UpperCAmelCase						:		List[str]			= sorted(int(item) for item in user_input.split(","))
       UpperCAmelCase						:		Optional[int]			= int(input("Enter a single number to be found in the list:\n"))
       UpperCAmelCase						:		Any			= binary_search(collection, target)
       if result is None:
              print(F"{target} was not found in {collection}.")
       else:
              print(F"{target} was found at position {result} in {collection}.")






"""simple docstring"""
from typing import TYPE_CHECKING

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


UpperCAmelCase						:		Any			= {
    "configuration_blip": [
        "BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlipConfig",
        "BlipTextConfig",
        "BlipVisionConfig",
    ],
    "processing_blip": ["BlipProcessor"],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase						:		Any			= ["BlipImageProcessor"]


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase						:		Optional[int]			= [
           "BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
           "BlipModel",
           "BlipPreTrainedModel",
           "BlipForConditionalGeneration",
           "BlipForQuestionAnswering",
           "BlipVisionModel",
           "BlipTextModel",
           "BlipForImageTextRetrieval",
       ]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase						:		str			= [
           "TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
           "TFBlipModel",
           "TFBlipPreTrainedModel",
           "TFBlipForConditionalGeneration",
           "TFBlipForQuestionAnswering",
           "TFBlipVisionModel",
           "TFBlipTextModel",
           "TFBlipForImageTextRetrieval",
       ]

if TYPE_CHECKING:
       from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
       from .processing_blip import BlipProcessor

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .image_processing_blip import BlipImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_blip import (
                  BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
                  BlipForConditionalGeneration,
                  BlipForImageTextRetrieval,
                  BlipForQuestionAnswering,
                  BlipModel,
                  BlipPreTrainedModel,
                  BlipTextModel,
                  BlipVisionModel,
              )

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_blip import (
                  TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TFBlipForConditionalGeneration,
                  TFBlipForImageTextRetrieval,
                  TFBlipForQuestionAnswering,
                  TFBlipModel,
                  TFBlipPreTrainedModel,
                  TFBlipTextModel,
                  TFBlipVisionModel,
              )

else:
       import sys

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

