
"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

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


__lowerCAmelCase							:  List[str] 				=		logging.get_logger(__name__)

__lowerCAmelCase							:  Optional[int] 				=		{
    "flaubert/flaubert_small_cased": "https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json",
    "flaubert/flaubert_base_uncased": "https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json",
    "flaubert/flaubert_base_cased": "https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json",
    "flaubert/flaubert_large_cased": "https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json",
}
class SCREAMING_SNAKE_CASE       (      lowerCAmelCase					):






	'''simple docstring'''







	snake_case__							:		Any         =		'flaubert'
	snake_case__							:		List[Any]         =		{
	    'hidden_size': 'emb_dim',
	    'num_attention_heads': 'n_heads',
	    'num_hidden_layers': 'n_layers',
	    'n_words': 'vocab_size',  # For backward compatibility
	}


	def __init__(  self :List[Any]       ,    __magic_name__ :Union[str, Any]=False       ,    __magic_name__ :Union[str, Any]=0.0       ,    __magic_name__ :List[Any]=30145       ,    __magic_name__ :Union[str, Any]=2048       ,    __magic_name__ :List[str]=12       ,    __magic_name__ :List[str]=16       ,    __magic_name__ :Any=0.1       ,    __magic_name__ :Tuple=0.1       ,    __magic_name__ :Any=True       ,    __magic_name__ :List[Any]=False       ,    __magic_name__ :str=False       ,    __magic_name__ :Any=False       ,    __magic_name__ :Optional[Any]=1       ,    __magic_name__ :Dict=True       ,    __magic_name__ :Dict=512       ,    __magic_name__ :List[str]=2048**-0.5       ,    __magic_name__ :Tuple=1e-12       ,    __magic_name__ :Any=0.02       ,    __magic_name__ :str=0       ,    __magic_name__ :str=1       ,    __magic_name__ :str=2       ,    __magic_name__ :List[Any]=3       ,    __magic_name__ :Dict=5       ,    __magic_name__ :Any=True       ,    __magic_name__ :Optional[Any]="first"       ,    __magic_name__ :Optional[int]=True       ,    __magic_name__ :List[Any]=None       ,    __magic_name__ :Optional[Any]=True       ,    __magic_name__ :int=0.1       ,    __magic_name__ :str=5       ,    __magic_name__ :Dict=5       ,    __magic_name__ :int=0       ,    __magic_name__ :Tuple=0       ,    __magic_name__ :Any=2       ,    __magic_name__ :Tuple=0       ,    **__magic_name__ :str       ,    )			->   List[Any]:

			'''simple docstring'''






			a__   		=     pre_norm
			a__   		=     layerdrop
			a__   		=     vocab_size
			a__   		=     emb_dim
			a__   		=     n_layers
			a__   		=     n_heads
			a__   		=     dropout
			a__   		=     attention_dropout
			a__   		=     gelu_activation
			a__   		=     sinusoidal_embeddings
			a__   		=     causal
			a__   		=     asm
			a__   		=     n_langs
			a__   		=     use_lang_emb
			a__   		=     layer_norm_eps
			a__   		=     bos_index
			a__   		=     eos_index
			a__   		=     pad_index
			a__   		=     unk_index
			a__   		=     mask_index
			a__   		=     is_encoder
			a__   		=     max_position_embeddings
			a__   		=     embed_init_std
			a__   		=     init_std
			a__   		=     summary_type
			a__   		=     summary_use_proj
			a__   		=     summary_activation
			a__   		=     summary_proj_to_labels
			a__   		=     summary_first_dropout
			a__   		=     start_n_top
			a__   		=     end_n_top
			a__   		=     mask_token_id
			a__   		=     lang_id

			if "n_words" in kwargs:
					a__   		=     kwargs['''n_words''']

			super().__init__(pad_token_id=__magic_name__       ,    bos_token_id=__magic_name__       ,    **__magic_name__			)

class SCREAMING_SNAKE_CASE       (      lowerCAmelCase					):






	'''simple docstring'''







	@property
	def    _UpperCamelCase							(  self :List[str]			)			->   Mapping[str, Mapping[int, str]]:

			'''simple docstring'''






			if self.task == "multiple-choice":
					a__   		=     {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
			else:
					a__   		=     {0: '''batch''', 1: '''sequence'''}
			return OrderedDict(
			    [
			        ('''input_ids''', dynamic_axis),
			        ('''attention_mask''', dynamic_axis),
			    ]			)










def     lowerCAmelCase		(		_lowerCAmelCase				: Tuple    ,				_lowerCAmelCase				: Tuple						):




 """simple docstring"""







 sequence.append(_lowerCAmelCase						)

 UpperCAmelCase__							=    0
 while sequence[index] != target:
  index += 1

 sequence.pop()

 if index == len(_lowerCAmelCase						):
  return None

 return index


if __name__ == "__main__":
  _lowerCAmelCase    : List[Any]		= input("Enter numbers separated by comma:\n").strip()
  _lowerCAmelCase    : Dict		= [int(item) for item in user_input.split(",")]

  _lowerCAmelCase    : Optional[Any]		= input("Enter a single number to be found in the list:\n")
  _lowerCAmelCase    : Tuple		= int(target_input)
  _lowerCAmelCase    : int		= sentinel_linear_search(sequence, target)
  if result is not None:
    print(F'''{target} found at positions: {result}''')
  else:
    print("Not found")





