

def 	lowerCamelCase__	(   _a							,     _a):
	SCREAMING_SNAKE_CASE				: Tuple			       =    []
	SCREAMING_SNAKE_CASE				: Union[str, Any]			       =    len(_a)
	for i in range(_a):
		SCREAMING_SNAKE_CASE				: Tuple			       =    []
		for j in range(_a):
			SCREAMING_SNAKE_CASE				: Optional[Any]			       =    0
			for k in range(_a):
				SCREAMING_SNAKE_CASE				: str			       =    val + matrix_a[i][k] * matrix_b[k][j]
			list_a.append(_a)
		matrix_c.append(_a)
	return matrix_c

def 	lowerCamelCase__	(   _a):
	return [[int(row == column) for column in range(_a)] for row in range(_a)]

def 	lowerCamelCase__	(   _a):






	if n <= 1:
		return n
	SCREAMING_SNAKE_CASE				: Optional[Any]			       =    identity(2)
	SCREAMING_SNAKE_CASE				: Optional[int]			       =    [[1, 1], [1, 0]]
	SCREAMING_SNAKE_CASE				: Any			       =    n - 1
	while n > 0:
		if n % 2 == 1:
			SCREAMING_SNAKE_CASE				: Any			       =    multiply(_a							,     _a)
		SCREAMING_SNAKE_CASE				: Any			       =    multiply(_a							,     _a)
		SCREAMING_SNAKE_CASE				: Union[str, Any]			       =    int(n / 2)
	return res_matrix[0][0]

def 	lowerCamelCase__	(   _a):






	if n <= 1:
		return n
	SCREAMING_SNAKE_CASE				: Dict			       =    0
	SCREAMING_SNAKE_CASE				: Optional[Any]			       =    1
	for _ in range(2							,     n + 1):
		SCREAMING_SNAKE_CASE				: Optional[int]			       =    fiba, fiba + fiba
	return fiba

def 	lowerCamelCase__	(   ):






	for ordinal in "0th 1st 2nd 3rd 10th 100th 1000th".split():
		SCREAMING_SNAKE_CASE				: Optional[Any]			       =    int("".join(c for c in ordinal if c in "0123456789"))  # 1000th --> 1000
		print(
		    f"{ordinal} fibonacci number using matrix exponentiation is "
		    f"{nth_fibonacci_matrix(_a)} and using bruteforce is "
		    f"{nth_fibonacci_bruteforce(_a)}\n")
	# from timeit import timeit
	# print(timeit("nth_fibonacci_matrix(1000000)",
	#              "from main import nth_fibonacci_matrix", number=5))
	# print(timeit("nth_fibonacci_bruteforce(1000000)",
	#              "from main import nth_fibonacci_bruteforce", number=5))
	# 2.3342058970001744
	# 57.256506615000035


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()


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


a_         =      logging.get_logger(__name__)

a_         =      {
    'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json',
}






class _UpperCamelCase							(							__A				):
			'''simple docstring'''







			lowerCamelCase__          ='mpnet'
			def __init__(     self							:	Optional[int] , a							:	Dict=3_0527 , a							:	Optional[int]=768 , a							:	List[str]=12 , a							:	List[str]=12 , a							:	str=3072 , a							:	Optional[int]="gelu" , a							:	Tuple=0.1 , a							:	Optional[int]=0.1 , a							:	Optional[Any]=512 , a							:	List[Any]=0.02 , a							:	str=1e-12 , a							:	Optional[Any]=32 , a							:	int=1 , a							:	Union[str, Any]=0 , a							:	List[str]=2 , **a							:	Optional[int] , )							->    Union[str, Any]:

				"""simple docstring"""

				super().__init__(pad_token_id=a , bos_token_id=a , eos_token_id=a , **a		)

				SCREAMING_SNAKE_CASE				: Tuple			       =    vocab_size
				SCREAMING_SNAKE_CASE				: Any			       =    hidden_size
				SCREAMING_SNAKE_CASE				: int			       =    num_hidden_layers
				SCREAMING_SNAKE_CASE				: Any			       =    num_attention_heads
				SCREAMING_SNAKE_CASE				: Tuple			       =    hidden_act
				SCREAMING_SNAKE_CASE				: Tuple			       =    intermediate_size
				SCREAMING_SNAKE_CASE				: Optional[int]			       =    hidden_dropout_prob
				SCREAMING_SNAKE_CASE				: List[str]			       =    attention_probs_dropout_prob
				SCREAMING_SNAKE_CASE				: Dict			       =    max_position_embeddings
				SCREAMING_SNAKE_CASE				: Union[str, Any]			       =    initializer_range
				SCREAMING_SNAKE_CASE				: Any			       =    layer_norm_eps
				SCREAMING_SNAKE_CASE				: Optional[Any]			       =    relative_attention_num_buckets