from __future__ import annotations





def  lowercase(  UpperCamelCase_					)		->  set[int]:







 '''simple docstring'''
 UpperCamelCase      =			{1}
 UpperCamelCase      =			[1]
 for _ in range(2       ,				depth + 1					):
  UpperCamelCase      =			[*previous_coefficients, 0]
  UpperCamelCase      =			[0, *previous_coefficients]
  UpperCamelCase      =			[]
  for x, y in zip(UpperCamelCase_       ,				UpperCamelCase_					):
   coefficients.add(x + y					)
   previous_coefficients.append(x + y					)
 return coefficients





def  lowercase(  UpperCamelCase_					)		->  set[int]:







 '''simple docstring'''
 UpperCamelCase      =			set()
 for number in unique_coefficients:
  UpperCamelCase      =			2
  UpperCamelCase      =			number
  while divisor**2 <= copy_number:
   UpperCamelCase      =			0
   while copy_number % divisor == 0:
    copy_number //= divisor
    multiplicity += 1
   if multiplicity >= 2:
    non_squarefrees.add(UpperCamelCase_					)
    break
   divisor += 1

 return unique_coefficients.difference(UpperCamelCase_					)





def  lowercase(  UpperCamelCase_ = 51					)		->  int:







 '''simple docstring'''
 UpperCamelCase      =			get_pascal_triangle_unique_coefficients(UpperCamelCase_					)
 UpperCamelCase      =			get_squarefrees(UpperCamelCase_					)
 return sum(UpperCamelCase_					)


if __name__ == "__main__":
     print(F'''{solution() = }''')

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


_SCREAMING_SNAKE_CASE   		=			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   		=			{
    """tau/splinter-base""": """https://huggingface.co/tau/splinter-base/resolve/main/config.json""",
    """tau/splinter-base-qass""": """https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json""",
    """tau/splinter-large""": """https://huggingface.co/tau/splinter-large/resolve/main/config.json""",
    """tau/splinter-large-qass""": """https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json""",
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}
class SCREAMING_SNAKE_CASE_		(			__lowerCAmelCase		):
   __lowerCAmelCase											=							"""splinter"""







   def __init__(    self	:	List[Any]      ,      lowerCamelCase_	:	int=3_0522      ,      lowerCamelCase_	:	Any=768      ,      lowerCamelCase_	:	List[Any]=12      ,      lowerCamelCase_	:	Tuple=12      ,      lowerCamelCase_	:	Tuple=3072      ,      lowerCamelCase_	:	Any="gelu"      ,      lowerCamelCase_	:	Union[str, Any]=0.1      ,      lowerCamelCase_	:	str=0.1      ,      lowerCamelCase_	:	int=512      ,      lowerCamelCase_	:	List[Any]=2      ,      lowerCamelCase_	:	List[Any]=0.0_2      ,      lowerCamelCase_	:	Dict=1E-12      ,      lowerCamelCase_	:	Tuple=True      ,      lowerCamelCase_	:	str=0      ,      lowerCamelCase_	:	Any=104      ,      **lowerCamelCase_	:	Dict      ,      ):





    """simple docstring"""


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

    UpperCamelCase      =			vocab_size
    UpperCamelCase      =			max_position_embeddings
    UpperCamelCase      =			hidden_size
    UpperCamelCase      =			num_hidden_layers
    UpperCamelCase      =			num_attention_heads
    UpperCamelCase      =			intermediate_size
    UpperCamelCase      =			hidden_act
    UpperCamelCase      =			hidden_dropout_prob
    UpperCamelCase      =			attention_probs_dropout_prob
    UpperCamelCase      =			initializer_range
    UpperCamelCase      =			type_vocab_size
    UpperCamelCase      =			layer_norm_eps
    UpperCamelCase      =			use_cache
    UpperCamelCase      =			question_token_id
