"""simple docstring"""







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


_a	:	Optional[int]=					logging.get_logger(__name__)

_a	:	Dict=					{
    "uw-madison/yoso-4096": "https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json",
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}

class 						UpperCamelCase     (       lowercase		):
				UpperCAmelCase							: int       =						"""yoso"""



				def __init__(self							: Optional[Any]      ,    _A							: str=5_02_65      ,    _A							: List[str]=7_68      ,    _A							: Optional[Any]=12      ,    _A							: List[Any]=12      ,    _A							: List[str]=30_72      ,    _A							: List[Any]="gelu"      ,    _A							: Optional[int]=0.1      ,    _A							: List[Any]=0.1      ,    _A							: Dict=40_96      ,    _A							: List[Any]=1      ,    _A							: List[Any]=0.02      ,    _A							: Dict=1E-12      ,    _A							: Optional[int]="absolute"      ,    _A							: Dict=True      ,    _A							: Dict=9      ,    _A							: List[Any]=64      ,    _A							: Any=None      ,    _A							: Union[str, Any]=True      ,    _A							: Optional[Any]=True      ,    _A							: Tuple=1      ,    _A							: Any=0      ,    _A							: int=2      ,    **_A							: str      ,    )       ->      Optional[Any]:
					super().__init__(pad_token_id=_A      ,    bos_token_id=_A      ,    eos_token_id=_A      ,    **_A)

					__snake_case     :				Tuple 						=					vocab_size
					__snake_case     :				str 						=					max_position_embeddings
					__snake_case     :				Union[str, Any] 						=					hidden_size
					__snake_case     :				List[Any] 						=					num_hidden_layers
					__snake_case     :				List[str] 						=					num_attention_heads
					__snake_case     :				Optional[Any] 						=					intermediate_size
					__snake_case     :				Optional[int] 						=					hidden_act
					__snake_case     :				List[str] 						=					hidden_dropout_prob
					__snake_case     :				List[Any] 						=					attention_probs_dropout_prob
					__snake_case     :				int 						=					initializer_range
					__snake_case     :				int 						=					type_vocab_size
					__snake_case     :				List[Any] 						=					layer_norm_eps
					__snake_case     :				List[Any] 						=					position_embedding_type
					__snake_case     :				int 						=					use_expectation
					__snake_case     :				Union[str, Any] 						=					hash_code_len
					__snake_case     :				Dict 						=					num_hash
					__snake_case     :				Optional[int] 						=					conv_window
					__snake_case     :				List[Any] 						=					use_fast_hash
					__snake_case     :				Union[str, Any] 						=					lsh_backward






"""simple docstring"""







_a	:	Optional[Any]=					{
    "+": lambda x, y: x + y,
    "-": lambda x, y: x - y,
    "*": lambda x, y: x * y,
    "/": lambda x, y: x / y,
}
def     __UpperCAmelCase							(       UpperCAmelCase_       :							List[Any]    )				->     List[Any]:

	'''simple docstring'''





	return c.isdigit()
def     __UpperCAmelCase							(       UpperCAmelCase_       :							int    )				->     List[Any]:

	'''simple docstring'''





	__snake_case     :				Dict 						=					[]

	# iterate over the string in reverse order
	for c in expression.split()[::-1]:
		# push operand to stack
		if is_operand(UpperCAmelCase_    ):
			stack.append(int(UpperCAmelCase_    )    )

		else:
			# pop values from stack can calculate the result
			# push the result onto the stack again
			__snake_case     :				Optional[Any] 						=					stack.pop()
			__snake_case     :				int 						=					stack.pop()
			stack.append(calc[c](UpperCAmelCase_     ,				UpperCAmelCase_    )    )

	return stack.pop()


# Driver code
if __name__ == "__main__":
	_a	:	Union[str, Any]=					"+ 9 * 2 6"
	print(evaluate(test_expression))

	_a	:	List[Any]=					"/ * 10 2 + 4 1 "
	print(evaluate(test_expression))





