'''simple docstring'''
from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
a=  1_0







def  _UpperCamelCase (     _a	:	int				,     _a	:	int				,     _a	:	list[int]				,     _a	:	int			):




    """simple docstring"""



    for i in range(_a				,     _a			):
        if array[i] == target:
            return i
    return -1







def  _UpperCamelCase (     _a	:	list[int]				,     _a	:	int			):




    """simple docstring"""



    __UpperCamelCase	:	List[str]		    =  0
    __UpperCamelCase	:	Tuple		    =  len(_a			)
    while left <= right:
        if right - left < precision:
            return lin_search(_a				,     _a				,     _a				,     _a			)

        __UpperCamelCase	:	Union[str, Any]		    =  (left + right) // 3 + 1
        __UpperCamelCase	:	Optional[int]		    =  2 * (left + right) // 3 + 1

        if array[one_third] == target:
            return one_third
        elif array[two_third] == target:
            return two_third

        elif target < array[one_third]:
            __UpperCamelCase	:	Union[str, Any]		    =  one_third - 1
        elif array[two_third] < target:
            __UpperCamelCase	:	Tuple		    =  two_third + 1

        else:
            __UpperCamelCase	:	str		    =  one_third + 1
            __UpperCamelCase	:	Optional[Any]		    =  two_third - 1
    else:
        return -1







def  _UpperCamelCase (     _a	:	int				,     _a	:	int				,     _a	:	list[int]				,     _a	:	int			):




    """simple docstring"""



    if left < right:
        if right - left < precision:
            return lin_search(_a				,     _a				,     _a				,     _a			)
        __UpperCamelCase	:	List[str]		    =  (left + right) // 3 + 1
        __UpperCamelCase	:	Optional[Any]		    =  2 * (left + right) // 3 + 1

        if array[one_third] == target:
            return one_third
        elif array[two_third] == target:
            return two_third

        elif target < array[one_third]:
            return rec_ternary_search(_a				,     one_third - 1				,     _a				,     _a			)
        elif array[two_third] < target:
            return rec_ternary_search(two_third + 1				,     _a				,     _a				,     _a			)
        else:
            return rec_ternary_search(one_third + 1				,     two_third - 1				,     _a				,     _a			)
    else:
        return -1


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  a=  input('''Enter numbers separated by comma:\n''').strip()
  a=  [int(item.strip()) for item in user_input.split(''',''')]
  assert collection == sorted(collection), F"List must be ordered.\n{collection}."
  a=  int(input('''Enter the number to be found in the list:\n''').strip())
  a=  ite_ternary_search(collection, target)
  a=  rec_ternary_search(0, len(collection) - 1, collection, target)
  if resulta != -1:
    print(F"""Iterative search: {target} found at positions: {resulta}""")
    print(F"""Recursive search: {target} found at positions: {resulta}""")
  else:
    print('''Not found''')




'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


a=  {
    '''configuration_bridgetower''': [
        '''BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BridgeTowerConfig''',
        '''BridgeTowerTextConfig''',
        '''BridgeTowerVisionConfig''',
    ],
    '''processing_bridgetower''': ['''BridgeTowerProcessor'''],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a=  ['''BridgeTowerImageProcessor''']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a=  [
      '''BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''BridgeTowerForContrastiveLearning''',
      '''BridgeTowerForImageAndTextRetrieval''',
      '''BridgeTowerForMaskedLM''',
      '''BridgeTowerModel''',
      '''BridgeTowerPreTrainedModel''',
  ]


if TYPE_CHECKING:
  from .configuration_bridgetower import (
      BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      BridgeTowerConfig,
      BridgeTowerTextConfig,
      BridgeTowerVisionConfig,
  )
  from .processing_bridgetower import BridgeTowerProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_bridgetower import BridgeTowerImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_bridgetower import (
        BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
        BridgeTowerForContrastiveLearning,
        BridgeTowerForImageAndTextRetrieval,
        BridgeTowerForMaskedLM,
        BridgeTowerModel,
        BridgeTowerPreTrainedModel,
    )


else:
  import sys

  a=  _LazyModule(__name__, globals()['''__file__'''], _import_structure)



