


'''simple docstring'''

def __snake_case (				UpperCAmelCase_						:						str ,    UpperCAmelCase_						:						Tuple		):
	lowerCamelCase_								=  []
	lowerCamelCase_								=  len(lowercase_		)
	for i in range(lowercase_		):
		lowerCamelCase_								=  []
		for j in range(lowercase_		):
			lowerCamelCase_								=  0
			for k in range(lowercase_		):
				lowerCamelCase_								=  val + matrix_a[i][k] * matrix_b[k][j]
			list_a.append(lowercase_		)
		matrix_c.append(lowercase_		)
	return matrix_c





def __snake_case (				UpperCAmelCase_						:						Dict		):
	return [[int(row == column		) for column in range(lowercase_		)] for row in range(lowercase_		)]





def __snake_case (				UpperCAmelCase_						:						Union[str, Any]		):

	if n <= 1:
		return n
	lowerCamelCase_								=  identity(2		)
	lowerCamelCase_								=  [[1, 1], [1, 0]]
	lowerCamelCase_								=  n - 1
	while n > 0:
		if n % 2 == 1:
			lowerCamelCase_								=  multiply(lowercase_ ,    lowercase_		)
		lowerCamelCase_								=  multiply(lowercase_ ,    lowercase_		)
		lowerCamelCase_								=  int(n / 2		)
	return res_matrix[0][0]





def __snake_case (				UpperCAmelCase_						:						Any		):

	if n <= 1:
		return n
	lowerCamelCase_								=  0
	lowerCamelCase_								=  1
	for _ in range(2 ,    n + 1		):
		lowerCamelCase_			,lowerCamelCase_								=  fiba, fiba + fiba
	return fiba





def __snake_case (				):

	for ordinal in "0th 1st 2nd 3rd 10th 100th 1000th".split():
		lowerCamelCase_								=  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(lowercase_		)} and using bruteforce is '''
		    F'''{nth_fibonacci_bruteforce(lowercase_		)}\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()







'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


a_  :    Optional[Any]      =			logging.get_logger(__name__)

a_  :    Tuple      =			{
    """google/electra-small-generator""": """https://huggingface.co/google/electra-small-generator/resolve/main/config.json""",
    """google/electra-base-generator""": """https://huggingface.co/google/electra-base-generator/resolve/main/config.json""",
    """google/electra-large-generator""": """https://huggingface.co/google/electra-large-generator/resolve/main/config.json""",
    """google/electra-small-discriminator""": (
        """https://huggingface.co/google/electra-small-discriminator/resolve/main/config.json"""
    ),
    """google/electra-base-discriminator""": (
        """https://huggingface.co/google/electra-base-discriminator/resolve/main/config.json"""
    ),
    """google/electra-large-discriminator""": (
        """https://huggingface.co/google/electra-large-discriminator/resolve/main/config.json"""
    ),
}





class 					snake_case   (   lowercase      ):





  """simple docstring"""




  _lowerCamelCase		   =  "electra"






  def __init__(   self      ,  UpperCamelCase=3_0522      ,  UpperCamelCase=128      ,  UpperCamelCase=256      ,  UpperCamelCase=12      ,  UpperCamelCase=4      ,  UpperCamelCase=1024      ,  UpperCamelCase="gelu"      ,  UpperCamelCase=0.1      ,  UpperCamelCase=0.1      ,  UpperCamelCase=512      ,  UpperCamelCase=2      ,  UpperCamelCase=0.02      ,  UpperCamelCase=1e-12      ,  UpperCamelCase="first"      ,  UpperCamelCase=True      ,  UpperCamelCase="gelu"      ,  UpperCamelCase=0.1      ,  UpperCamelCase=0      ,  UpperCamelCase="absolute"      ,  UpperCamelCase=True      ,  UpperCamelCase=None      ,  **UpperCamelCase      ,  ):







   """simple docstring"""
   super().__init__(pad_token_id=UpperCamelCase      ,  **UpperCamelCase					)

   lowerCamelCase_								=  vocab_size
   lowerCamelCase_								=  embedding_size
   lowerCamelCase_								=  hidden_size
   lowerCamelCase_								=  num_hidden_layers
   lowerCamelCase_								=  num_attention_heads
   lowerCamelCase_								=  intermediate_size
   lowerCamelCase_								=  hidden_act
   lowerCamelCase_								=  hidden_dropout_prob
   lowerCamelCase_								=  attention_probs_dropout_prob
   lowerCamelCase_								=  max_position_embeddings
   lowerCamelCase_								=  type_vocab_size
   lowerCamelCase_								=  initializer_range
   lowerCamelCase_								=  layer_norm_eps

   lowerCamelCase_								=  summary_type
   lowerCamelCase_								=  summary_use_proj
   lowerCamelCase_								=  summary_activation
   lowerCamelCase_								=  summary_last_dropout
   lowerCamelCase_								=  position_embedding_type
   lowerCamelCase_								=  use_cache
   lowerCamelCase_								=  classifier_dropout





class 					snake_case   (   lowercase      ):





  """simple docstring"""




  @property
  def   snake_case		(   self					):







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



