





from ...configuration_utils import PretrainedConfig


_lowerCamelCase 					=      {
    'google/tapas-base-finetuned-sqa': (
        'https://huggingface.co/google/tapas-base-finetuned-sqa/resolve/main/config.json'
    ),
    'google/tapas-base-finetuned-wtq': (
        'https://huggingface.co/google/tapas-base-finetuned-wtq/resolve/main/config.json'
    ),
    'google/tapas-base-finetuned-wikisql-supervised': (
        'https://huggingface.co/google/tapas-base-finetuned-wikisql-supervised/resolve/main/config.json'
    ),
    'google/tapas-base-finetuned-tabfact': (
        'https://huggingface.co/google/tapas-base-finetuned-tabfact/resolve/main/config.json'
    ),
}




class 	UpperCamelCase_							(  UpperCamelCase__     ):
							lowerCamelCase_							     =       "tapas"


							def __init__(				self     :Tuple				,					__A     :List[Any]=3_0522				,					__A     :Dict=768				,					__A     :List[Any]=12				,					__A     :int=12				,					__A     :Any=3072				,					__A     :str="gelu"				,					__A     :Union[str, Any]=0.1				,					__A     :Optional[Any]=0.1				,					__A     :Tuple=1024				,					__A     :Any=[3, 256, 256, 2, 256, 256, 10]				,					__A     :Optional[Any]=0.0_2				,					__A     :Tuple=1E-12				,					__A     :Any=0				,					__A     :Union[str, Any]=1_0.0				,					__A     :Any=0				,					__A     :Tuple=1.0				,					__A     :Optional[int]=None				,					__A     :Dict=1.0				,					__A     :Optional[Any]=False				,					__A     :Union[str, Any]=None				,					__A     :List[Any]=1.0				,					__A     :int=1.0				,					__A     :Optional[int]=False				,					__A     :Optional[int]=False				,					__A     :Tuple="ratio"				,					__A     :List[Any]=None				,					__A     :Optional[int]=None				,					__A     :Any=64				,					__A     :Tuple=32				,					__A     :Any=False				,					__A     :List[str]=True				,					__A     :Optional[Any]=False				,					__A     :str=False				,					__A     :List[str]=True				,					__A     :Any=False				,					__A     :Optional[int]=None				,					__A     :Any=None				,					**__A     :Any				,					) -> List[Any]:



									"""simple docstring"""



									super().__init__(pad_token_id=__A				,					**__A		)

									# BERT hyperparameters (with updated max_position_embeddings and type_vocab_sizes)
									SCREAMING_SNAKE_CASE__								=   vocab_size
									SCREAMING_SNAKE_CASE__								=   hidden_size
									SCREAMING_SNAKE_CASE__								=   num_hidden_layers
									SCREAMING_SNAKE_CASE__								=   num_attention_heads
									SCREAMING_SNAKE_CASE__								=   hidden_act
									SCREAMING_SNAKE_CASE__								=   intermediate_size
									SCREAMING_SNAKE_CASE__								=   hidden_dropout_prob
									SCREAMING_SNAKE_CASE__								=   attention_probs_dropout_prob
									SCREAMING_SNAKE_CASE__								=   max_position_embeddings
									SCREAMING_SNAKE_CASE__								=   type_vocab_sizes
									SCREAMING_SNAKE_CASE__								=   initializer_range
									SCREAMING_SNAKE_CASE__								=   layer_norm_eps

									# Fine-tuning task hyperparameters
									SCREAMING_SNAKE_CASE__								=   positive_label_weight
									SCREAMING_SNAKE_CASE__								=   num_aggregation_labels
									SCREAMING_SNAKE_CASE__								=   aggregation_loss_weight
									SCREAMING_SNAKE_CASE__								=   use_answer_as_supervision
									SCREAMING_SNAKE_CASE__								=   answer_loss_importance
									SCREAMING_SNAKE_CASE__								=   use_normalized_answer_loss
									SCREAMING_SNAKE_CASE__								=   huber_loss_delta
									SCREAMING_SNAKE_CASE__								=   temperature
									SCREAMING_SNAKE_CASE__								=   aggregation_temperature
									SCREAMING_SNAKE_CASE__								=   use_gumbel_for_cells
									SCREAMING_SNAKE_CASE__								=   use_gumbel_for_aggregation
									SCREAMING_SNAKE_CASE__								=   average_approximation_function
									SCREAMING_SNAKE_CASE__								=   cell_selection_preference
									SCREAMING_SNAKE_CASE__								=   answer_loss_cutoff
									SCREAMING_SNAKE_CASE__								=   max_num_rows
									SCREAMING_SNAKE_CASE__								=   max_num_columns
									SCREAMING_SNAKE_CASE__								=   average_logits_per_cell
									SCREAMING_SNAKE_CASE__								=   select_one_column
									SCREAMING_SNAKE_CASE__								=   allow_empty_column_selection
									SCREAMING_SNAKE_CASE__								=   init_cell_selection_weights_to_zero
									SCREAMING_SNAKE_CASE__								=   reset_position_index_per_cell
									SCREAMING_SNAKE_CASE__								=   disable_per_token_loss

									# Aggregation hyperparameters
									SCREAMING_SNAKE_CASE__								=   aggregation_labels
									SCREAMING_SNAKE_CASE__								=   no_aggregation_label_index

									if isinstance(self.aggregation_labels				,					__A		):
											SCREAMING_SNAKE_CASE__								=   {int(__A		): v for k, v in aggregation_labels.items()}
'''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.
__snake_case						  =		10

def   A_      (       SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)			->int:
  for i in range(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						):
    if array[i] == target:
      return i
  return -1

def   A_      (       SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)			->int:
  lowercase_     =       0
  lowercase_     =       len(SCREAMING_SNAKE_CASE_						)
  while left <= right:
    if right - left < precision:
      return lin_search(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)

    lowercase_     =       (left + right) // 3 + 1
    lowercase_     =       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]:
      lowercase_     =       one_third - 1
    elif array[two_third] < target:
      lowercase_     =       two_third + 1

    else:
      lowercase_     =       one_third + 1
      lowercase_     =       two_third - 1
  else:
    return -1

def   A_      (       SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)			->int:
  if left < right:
    if right - left < precision:
      return lin_search(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
    lowercase_     =       (left + right) // 3 + 1
    lowercase_     =       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(SCREAMING_SNAKE_CASE_ ,	one_third - 1 ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
    elif array[two_third] < target:
      return rec_ternary_search(two_third + 1 ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
    else:
      return rec_ternary_search(one_third + 1 ,	two_third - 1 ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
  else:
    return -1


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       __snake_case						  =		input("""Enter numbers separated by comma:\n""").strip()
       __snake_case						  =		[int(item.strip()) for item in user_input.split(""",""")]
       assert collection == sorted(collection), f"List must be ordered.\n{collection}."
       __snake_case						  =		int(input("""Enter the number to be found in the list:\n""").strip())
       __snake_case						  =		ite_ternary_search(collection, target)
       __snake_case						  =		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""")

