


from __future__ import annotations

__UpperCamelCase				:				Optional[Any]  				= [-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
__UpperCamelCase				:				Any  				= [-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]

def 	_a     ( SCREAMING_SNAKE_CASE		: int   ):







 """simple docstring"""



 UpperCamelCase__    :			int      				=      []
 UpperCamelCase__    :			Optional[Any]      				=      len(lowercase_   )

 for i in range(lowercase_   ):
  UpperCamelCase__    :			List[str]      				=      -1
  for j in range(i + 1			,       lowercase_   ):
   if arr[i] < arr[j]:
    UpperCamelCase__    :			Tuple      				=      arr[j]
    break
  result.append(lowercase_   )
 return result

def 	_a     ( SCREAMING_SNAKE_CASE		: List[str]   ):







 """simple docstring"""



 UpperCamelCase__    :			List[Any]      				=      []
 for i, outer in enumerate(lowercase_   ):
  UpperCamelCase__    :			Optional[Any]      				=      -1
  for inner in arr[i + 1 :]:
   if outer < inner:
    UpperCamelCase__    :			Dict      				=      inner
    break
  result.append(lowercase_   )
 return result

def 	_a     ( SCREAMING_SNAKE_CASE		: List[Any]   ):







 """simple docstring"""



 UpperCamelCase__    :			Dict      				=      len(lowercase_   )
 UpperCamelCase__    :			List[str]      				=      []
 UpperCamelCase__    :			Union[str, Any]      				=      [-1] * arr_size

 for index in reversed(range(lowercase_   )   ):
  if stack:
   while stack[-1] <= arr[index]:
    stack.pop()
    if not stack:
     break
  if stack:
   UpperCamelCase__    :			int      				=      stack[-1]
  stack.append(arr[index]   )
 return result


if __name__ == "__main__":
       from doctest import testmod
       from timeit import timeit

       testmod()
       print(next_greatest_element_slow(arr))
       print(next_greatest_element_fast(arr))
       print(next_greatest_element(arr))

       __UpperCamelCase				:				int  				= (
           """from __main__ import arr, next_greatest_element_slow, """
           """next_greatest_element_fast, next_greatest_element"""
       )
       print(
           "next_greatest_element_slow():",
           timeit("next_greatest_element_slow(arr)", setup=setup),
       )
       print(
           "next_greatest_element_fast():",
           timeit("next_greatest_element_fast(arr)", setup=setup),
       )
       print(
           "     next_greatest_element():",
           timeit("next_greatest_element(arr)", setup=setup),
       )








import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase	:		Tuple							       =   logging.get_logger(__name__)

_lowerCamelCase	:		str							       =   {
    """microsoft/git-base""": """https://huggingface.co/microsoft/git-base/resolve/main/config.json""",
}


class 				UpperCamelCase_    ( UpperCAmelCase__     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      '''git_vision_model'''


    def __init__(			self      :	Any					, UpperCAmelCase__      :	Any=768					, UpperCAmelCase__      :	int=3_072					, UpperCAmelCase__      :	List[str]=12					, UpperCAmelCase__      :	Dict=12					, UpperCAmelCase__      :	Optional[int]=3					, UpperCAmelCase__      :	List[Any]=224					, UpperCAmelCase__      :	Union[str, Any]=16					, UpperCAmelCase__      :	Union[str, Any]="quick_gelu"					, UpperCAmelCase__      :	Dict=1e-5					, UpperCAmelCase__      :	Union[str, Any]=0.0					, UpperCAmelCase__      :	Any=0.02					, **UpperCAmelCase__      :	Any					, )						->Optional[int]:





           '''simple docstring'''

           super().__init__(**UpperCAmelCase__)

           A__       =    hidden_size
           A__       =    intermediate_size
           A__       =    num_hidden_layers
           A__       =    num_attention_heads
           A__       =    num_channels
           A__       =    patch_size
           A__       =    image_size
           A__       =    initializer_range
           A__       =    attention_dropout
           A__       =    layer_norm_eps
           A__       =    hidden_act





    @classmethod
    def        SCREAMING_SNAKE_CASE							(			cls      :	Any					, UpperCAmelCase__      :	Union[str, os.PathLike]					, **UpperCAmelCase__      :	int)						->"PretrainedConfig":





           '''simple docstring'''

           cls._set_token_in_kwargs(UpperCAmelCase__)

           A__ ,							A__       =    cls.get_config_dict(UpperCAmelCase__					, **UpperCAmelCase__)

           # get the vision config dict if we are loading from GITConfig
           if config_dict.get('''model_type''') == "git":
                  A__       =    config_dict['''vision_config''']

           if "model_type" in config_dict and hasattr(cls					, '''model_type''') and config_dict["model_type"] != cls.model_type:
                  logger.warning(
                      f"""You are using a model of type {config_dict["model_type"]} to instantiate a model of type """
                      f"""{cls.model_type}. This is not supported for all configurations of models and can yield errors.""")

           return cls.from_dict(UpperCAmelCase__					, **UpperCAmelCase__)


class 				UpperCamelCase_    ( UpperCAmelCase__     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      '''git'''


    def __init__(			self      :	Dict					, UpperCAmelCase__      :	Dict=None					, UpperCAmelCase__      :	int=30_522					, UpperCAmelCase__      :	Optional[int]=768					, UpperCAmelCase__      :	Dict=6					, UpperCAmelCase__      :	int=12					, UpperCAmelCase__      :	List[str]=3_072					, UpperCAmelCase__      :	str="gelu"					, UpperCAmelCase__      :	int=0.1					, UpperCAmelCase__      :	Union[str, Any]=0.1					, UpperCAmelCase__      :	List[Any]=1_024					, UpperCAmelCase__      :	List[str]=0.02					, UpperCAmelCase__      :	Any=1e-12					, UpperCAmelCase__      :	Union[str, Any]=0					, UpperCAmelCase__      :	List[Any]="absolute"					, UpperCAmelCase__      :	int=True					, UpperCAmelCase__      :	Any=False					, UpperCAmelCase__      :	int=101					, UpperCAmelCase__      :	Tuple=102					, UpperCAmelCase__      :	Dict=None					, **UpperCAmelCase__      :	List[str]					, )						->Any:





           '''simple docstring'''

           super().__init__(bos_token_id=UpperCAmelCase__					, eos_token_id=UpperCAmelCase__					, pad_token_id=UpperCAmelCase__					, **UpperCAmelCase__)

           if vision_config is None:
                  A__       =    {}
                  logger.info('''vision_config is None. initializing the GitVisionConfig with default values.''')

           A__       =    GitVisionConfig(**UpperCAmelCase__)
           A__       =    vocab_size
           A__       =    hidden_size
           A__       =    num_hidden_layers
           A__       =    num_attention_heads
           A__       =    hidden_act
           A__       =    intermediate_size
           A__       =    hidden_dropout_prob
           A__       =    attention_probs_dropout_prob
           A__       =    max_position_embeddings
           A__       =    initializer_range
           A__       =    layer_norm_eps
           A__       =    position_embedding_type
           A__       =    use_cache
           A__       =    tie_word_embeddings
           A__       =    num_image_with_embedding

           A__       =    bos_token_id
           A__       =    eos_token_id





    def        SCREAMING_SNAKE_CASE							(			self      :	Any)						->List[Any]:





           '''simple docstring'''

           A__       =    copy.deepcopy(self.__dict__)
           A__       =    self.vision_config.to_dict()
           A__       =    self.__class__.model_type
           return output


