



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__UpperCAmelCase			  =			logging.get_logger(__name__)

__UpperCAmelCase			  =			{
    '''facebook/data2vec-vision-base-ft''': (
        '''https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'''
    ),
}



class 							lowerCAmelCase_						(    a__				):
       UpperCAmelCase__							:   int  	=    "data2vec-vision"
       def __init__(     self,     SCREAMING_SNAKE_CASE_=768,     SCREAMING_SNAKE_CASE_=12,     SCREAMING_SNAKE_CASE_=12,     SCREAMING_SNAKE_CASE_=3072,     SCREAMING_SNAKE_CASE_="gelu",     SCREAMING_SNAKE_CASE_=0.0,     SCREAMING_SNAKE_CASE_=0.0,     SCREAMING_SNAKE_CASE_=0.02,     SCREAMING_SNAKE_CASE_=1e-12,     SCREAMING_SNAKE_CASE_=224,     SCREAMING_SNAKE_CASE_=16,     SCREAMING_SNAKE_CASE_=3,     SCREAMING_SNAKE_CASE_=False,     SCREAMING_SNAKE_CASE_=False,     SCREAMING_SNAKE_CASE_=False,     SCREAMING_SNAKE_CASE_=False,     SCREAMING_SNAKE_CASE_=0.1,     SCREAMING_SNAKE_CASE_=0.1,     SCREAMING_SNAKE_CASE_=True,     SCREAMING_SNAKE_CASE_=[3, 5, 7, 11],     SCREAMING_SNAKE_CASE_=[1, 2, 3, 6],     SCREAMING_SNAKE_CASE_=True,     SCREAMING_SNAKE_CASE_=0.4,     SCREAMING_SNAKE_CASE_=256,     SCREAMING_SNAKE_CASE_=1,     SCREAMING_SNAKE_CASE_=False,     SCREAMING_SNAKE_CASE_=255,     **SCREAMING_SNAKE_CASE_,     )	->						Dict:
          super().__init__(**SCREAMING_SNAKE_CASE_			)

          UpperCamelCase       :    List[str]		      =      hidden_size
          UpperCamelCase       :    Dict		      =      num_hidden_layers
          UpperCamelCase       :    List[Any]		      =      num_attention_heads
          UpperCamelCase       :    Optional[Any]		      =      intermediate_size
          UpperCamelCase       :    Union[str, Any]		      =      hidden_act
          UpperCamelCase       :    int		      =      hidden_dropout_prob
          UpperCamelCase       :    Union[str, Any]		      =      attention_probs_dropout_prob
          UpperCamelCase       :    List[Any]		      =      initializer_range
          UpperCamelCase       :    Any		      =      layer_norm_eps

          UpperCamelCase       :    List[Any]		      =      image_size
          UpperCamelCase       :    int		      =      patch_size
          UpperCamelCase       :    Tuple		      =      num_channels
          UpperCamelCase       :    str		      =      use_mask_token
          UpperCamelCase       :    Union[str, Any]		      =      use_absolute_position_embeddings
          UpperCamelCase       :    int		      =      use_relative_position_bias
          UpperCamelCase       :    Optional[int]		      =      use_shared_relative_position_bias
          UpperCamelCase       :    int		      =      layer_scale_init_value
          UpperCamelCase       :    List[Any]		      =      drop_path_rate
          UpperCamelCase       :    str		      =      use_mean_pooling
          # decode head attributes (semantic segmentation)
          UpperCamelCase       :    List[str]		      =      out_indices
          UpperCamelCase       :    Union[str, Any]		      =      pool_scales
          # auxiliary head attributes (semantic segmentation)
          UpperCamelCase       :    List[str]		      =      use_auxiliary_head
          UpperCamelCase       :    Any		      =      auxiliary_loss_weight
          UpperCamelCase       :    Any		      =      auxiliary_channels
          UpperCamelCase       :    Tuple		      =      auxiliary_num_convs
          UpperCamelCase       :    str		      =      auxiliary_concat_input
          UpperCamelCase       :    Optional[int]		      =      semantic_loss_ignore_index






class 							lowerCAmelCase_						(    a__				):
       UpperCAmelCase__							:   Any  	=    version.parse("1.11"				)
       @property
       def    snake_case_			(     self			)	->						Mapping[str, Mapping[int, str]]:
          return OrderedDict(
              [
                  ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
              ]			)






       @property
       def    snake_case_			(     self			)	->						float:
          return 1e-4







'''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   :    Tuple											= 10







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'''





  lowerCAmelCase_     : Optional[int]     =  0
  lowerCAmelCase_     : Union[str, Any]     =  len(A__   )
  while left <= right:
    if right - left < precision:
      return lin_search(A__				,       A__				,       A__				,       A__   )

    lowerCAmelCase_     : Dict     =  (left + right) // 3 + 1
    lowerCAmelCase_     : List[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]:
      lowerCAmelCase_     : List[str]     =  one_third - 1
    elif array[two_third] < target:
      lowerCAmelCase_     : Tuple     =  two_third + 1

    else:
      lowerCAmelCase_     : Tuple     =  one_third + 1
      lowerCAmelCase_     : 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__   )
    lowerCAmelCase_     : Dict     =  (left + right) // 3 + 1
    lowerCAmelCase_     : Dict     =  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   :    List[Any]											= input("Enter numbers separated by comma:\n").strip()
  __A   :    Union[str, Any]											= [int(item.strip()) for item in user_input.split(",")]
  assert collection == sorted(collection), F"List must be ordered.\n{collection}."
  __A   :    List[Any]											= int(input("Enter the number to be found in the list:\n").strip())
  __A   :    str											= ite_ternary_search(collection, target)
  __A   :    Dict											= 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")



