




import timeit


class 							__SCREAMING_SNAKE_CASE				:

					def __init__(							self					,			__lowercase   ):







						'''simple docstring'''




						if isinstance(__lowercase					,			__lowercase   ):  # Initializes a matrix identical to the one provided.
							lowerCamelCase_				:						Tuple				  =				arg
							lowerCamelCase_				:						Dict				  =				len(__lowercase   )
						else:  # Initializes a square matrix of the given size and set values to zero.
							lowerCamelCase_				:						Dict				  =				arg
							lowerCamelCase_				:						List[str]				  =				[[0 for _ in range(self.n   )] for _ in range(self.n   )]





					def __mul__(							self					,			__lowercase   ):







						'''simple docstring'''




						lowerCamelCase_				:						Union[str, Any]				  =				Matrix(self.n   )
						for i in range(self.n   ):
							for j in range(self.n   ):
								for k in range(self.n   ):
									matrix.t[i][j] += self.t[i][k] * b.t[k][j]
						return matrix






def    snake_case   (				A		,  A     )				->				Dict:




	'''simple docstring'''


	lowerCamelCase_				:						Dict				  =				Matrix([[1, 0], [0, 1]]     )
	while b > 0:
		if b & 1:
			matrix *= a
		a *= a
		b >>= 1
	return matrix






def    snake_case   (				A		,  A		,  A     )				->				Any:




	'''simple docstring'''


	if n == 1:
		return fa
	elif n == 2:
		return fa
	lowerCamelCase_				:						Optional[int]				  =				Matrix([[1, 1], [1, 0]]     )
	lowerCamelCase_				:						List[str]				  =				modular_exponentiation(A		,  n - 2     )
	return fa * matrix.t[0][0] + fa * matrix.t[0][1]






def    snake_case   (				A		,  A		,  A     )				->				Union[str, Any]:




	'''simple docstring'''


	if n == 1:
		return fa
	elif n == 2:
		return fa

	lowerCamelCase_				:						Any				  =				fa
	lowerCamelCase_				:						List[str]				  =				fa
	n -= 2

	while n > 0:
		lowerCamelCase_  ,     lowerCamelCase_				:						Dict				  =				fn_a + fn_a, fn_a
		n -= 1

	return fn_a






def    snake_case   (				)				->				Tuple:




	'''simple docstring'''


	lowerCamelCase_				:						Any				  =				'\nfrom random import randint\nfrom __main__ import fibonacci_with_matrix_exponentiation\n'
	lowerCamelCase_				:						Union[str, Any]				  =				'fibonacci_with_matrix_exponentiation(randint(1,70000), 1, 1)'
	lowerCamelCase_				:						Optional[Any]				  =				timeit.timeit(setup=A		,  stmt=A		,  number=100     )
	print('With matrix exponentiation the average execution time is '		,  exec_time / 100     )
	return exec_time






def    snake_case   (				)				->				Dict:




	'''simple docstring'''


	lowerCamelCase_				:						Optional[int]				  =				'\nfrom random import randint\nfrom __main__ import simple_fibonacci\n'
	lowerCamelCase_				:						Union[str, Any]				  =				'simple_fibonacci(randint(1,70000), 1, 1)'
	lowerCamelCase_				:						str				  =				timeit.timeit(setup=A		,  stmt=A		,  number=100     )
	print(
	    'Without matrix exponentiation the average execution time is '		,  exec_time / 100     )
	return exec_time






def    snake_case   (				)				->				str:




	'''simple docstring'''


	matrix_exponentiation_time()
	simple_fibonacci_time()


if __name__ == "__main__":
							main()




"""simple docstring"""


import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils
class snake_case   (	unittest.TestCase):







		@patch("diffusers.utils.hub_utils.get_full_repo_name"		)
		def 			a_			(       self   :							Any     , a__   :							Mock		)							->    None:





						'''simple docstring'''







						_A       	=      "full_repo_name"
						with TemporaryDirectory() as tmpdir:
										# Dummy args values
										_A       	=      Mock()
										_A       	=      tmpdir
										_A       	=      0
										_A       	=      "hub_token"
										_A       	=      "dataset_name"
										_A       	=      0.0_1
										_A       	=      10_00_00
										_A       	=      1_00_00
										_A       	=      0.0_1
										_A       	=      0.0_2
										_A       	=      0.0_3
										_A       	=      0.0_0_0_5
										_A       	=      0.0_0_0_0_0_1
										_A       	=      1
										_A       	=      10
										_A       	=      0.0_0_1
										_A       	=      0.1
										_A       	=      0.2
										_A       	=      True

										# Model card mush be rendered and saved
										diffusers.utils.hub_utils.create_model_card(a__     , model_name="model_name"		)
										self.assertTrue((Path(a__		) / "README.md").is_file()		)