





'''simple docstring'''

from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional

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


if TYPE_CHECKING:
  from ... import FeatureExtractionMixin, TensorType

__lowerCAmelCase							:	int			=logging.get_logger(__name__)

__lowerCAmelCase							:	Optional[Any]			={
    """openai/imagegpt-small""": """""",
    """openai/imagegpt-medium""": """""",
    """openai/imagegpt-large""": """""",
}






class    UpperCAmelCase	(       lowercase_				):
 __lowercase   		=				"""imagegpt"""
 __lowercase   		=				["""past_key_values"""]
 __lowercase   		=				{
     """hidden_size""": """n_embd""",
     """max_position_embeddings""": """n_positions""",
     """num_attention_heads""": """n_head""",
     """num_hidden_layers""": """n_layer""",
 }
 def __init__(				self      :Union[str, Any]						,       lowercase_      :Union[str, Any]=5_12 + 1						,       lowercase_      :str=32 * 32						,       lowercase_      :int=5_12						,       lowercase_      :List[str]=24						,       lowercase_      :Any=8						,       lowercase_      :str=None						,       lowercase_      :Dict="quick_gelu"						,       lowercase_      :Optional[Any]=0.1						,       lowercase_      :Union[str, Any]=0.1						,       lowercase_      :str=0.1						,       lowercase_      :Optional[Any]=1E-5						,       lowercase_      :int=0.0_2						,       lowercase_      :List[Any]=True						,       lowercase_      :Dict=True						,       lowercase_      :Any=False						,       lowercase_      :Dict=False						,       lowercase_      :Tuple=False						,       **lowercase_      :List[Any]						,       )->							Optional[int]:
     A__				=			vocab_size
     A__				=			n_positions
     A__				=			n_embd
     A__				=			n_layer
     A__				=			n_head
     A__				=			n_inner
     A__				=			activation_function
     A__				=			resid_pdrop
     A__				=			embd_pdrop
     A__				=			attn_pdrop
     A__				=			layer_norm_epsilon
     A__				=			initializer_range
     A__				=			scale_attn_weights
     A__				=			use_cache
     A__				=			scale_attn_by_inverse_layer_idx
     A__				=			reorder_and_upcast_attn
     A__				=			tie_word_embeddings

     super().__init__(tie_word_embeddings=SCREAMING_SNAKE_CASE_						,       **SCREAMING_SNAKE_CASE_							)






class    UpperCAmelCase	(       lowercase_				):
 @property
 def      UpperCAmelCase_							(				self      :List[Any]							)->							int:
     return OrderedDict(
         [
             ("input_ids", {0: "batch", 1: "sequence"}),
         ]							)



 def      UpperCAmelCase_							(				self      :Any						,       lowercase_      :"FeatureExtractionMixin"						,       lowercase_      :int = 1						,       lowercase_      :int = -1						,       lowercase_      :bool = False						,       lowercase_      :Optional["TensorType"] = None						,       lowercase_      :int = 3						,       lowercase_      :int = 32						,       lowercase_      :int = 32						,       )->							Optional[int]:
     A__				=			self._generate_dummy_images(SCREAMING_SNAKE_CASE_						,       SCREAMING_SNAKE_CASE_						,       SCREAMING_SNAKE_CASE_						,       SCREAMING_SNAKE_CASE_							)
     A__				=			dict(preprocessor(images=SCREAMING_SNAKE_CASE_						,       return_tensors=SCREAMING_SNAKE_CASE_							)							)

     return inputs








"""simple docstring"""







from __future__ import annotations

def 				UpperCamelCase_    (    lowerCAmelCase__      :				list[int]    ,   lowerCAmelCase__      :				int						)						->   bool:

  """simple docstring"""




  if len(lowerCAmelCase__						) == 0:
    return False
  lowerCAmelCase_   :				Union[str, Any]								= len(lowerCAmelCase__						) // 2
  if a_list[midpoint] == item:
    return True
  if item < a_list[midpoint]:
    return binary_search(a_list[:midpoint]    ,   lowerCAmelCase__						)
  else:
    return binary_search(a_list[midpoint + 1 :]    ,   lowerCAmelCase__						)


if __name__ == "__main__":
     lowercase__		:				str          =	input("""Enter numbers separated by comma:\n""").strip()
     lowercase__		:				Optional[int]          =	[int(item.strip()) for item in user_input.split(""",""")]
     lowercase__		:				Optional[Any]          =	int(input("""Enter the number to be found in the list:\n""").strip())
     lowercase__		:				int          =	"""""" if binary_search(sequence, target) else """not """
     print(f'{target} was {not_str}found in {sequence}')





