
import inspect

from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
  import jax

@require_flax
class 		__magic_name__				:


  """simple docstring"""





  def     _UpperCAmelCase  (					self		):
    _lowerCamelCase    ,    _lowerCamelCase      =						self.prepare_init_args_and_inputs_for_common()

    _lowerCamelCase      =						self.model_class(**__lowerCAmelCase		)
    _lowerCamelCase      =						model.init(inputs_dict['''prng_key''']	,		inputs_dict['''sample''']		)
    jax.lax.stop_gradient(__lowerCAmelCase		)

    _lowerCamelCase      =						model.apply(__lowerCAmelCase	,		inputs_dict['''sample''']		)

    if isinstance(__lowerCAmelCase	,		__lowerCAmelCase		):
      _lowerCamelCase      =						output.sample

    self.assertIsNotNone(__lowerCAmelCase		)
    _lowerCamelCase      =						inputs_dict['''sample'''].shape
    self.assertEqual(output.shape	,		__lowerCAmelCase	,		'''Input and output shapes do not match'''		)


  def     _UpperCAmelCase  (					self		):
    _lowerCamelCase    ,    _lowerCamelCase      =						self.prepare_init_args_and_inputs_for_common()

    _lowerCamelCase      =						16
    _lowerCamelCase      =						(16, 32)

    _lowerCamelCase      =						self.model_class(**__lowerCAmelCase		)
    _lowerCamelCase      =						model.init(inputs_dict['''prng_key''']	,		inputs_dict['''sample''']		)
    jax.lax.stop_gradient(__lowerCAmelCase		)

    _lowerCamelCase      =						model.apply(__lowerCAmelCase	,		inputs_dict['''sample''']		)

    if isinstance(__lowerCAmelCase	,		__lowerCAmelCase		):
      _lowerCamelCase      =						output.sample

    self.assertIsNotNone(__lowerCAmelCase		)
    _lowerCamelCase      =						inputs_dict['''sample'''].shape
    self.assertEqual(output.shape	,		__lowerCAmelCase	,		'''Input and output shapes do not match'''		)


  def     _UpperCAmelCase  (					self		):
    _lowerCamelCase      =						'''kwargs''' in inspect.signature(self.model_class.__init__		).parameters
    _lowerCamelCase      =						len(self.model_class._deprecated_kwargs		) > 0

    if has_kwarg_in_model_class and not has_deprecated_kwarg:
      raise ValueError(
          f'''{self.model_class} has `**kwargs` in its __init__ method but has not defined any deprecated kwargs'''
          ''' under the `_deprecated_kwargs` class attribute. Make sure to either remove `**kwargs` if there are'''
          ''' no deprecated arguments or add the deprecated argument with `_deprecated_kwargs ='''
          ''' [<deprecated_argument>]`'''		)

    if not has_kwarg_in_model_class and has_deprecated_kwarg:
      raise ValueError(
          f'''{self.model_class} doesn\'t have `**kwargs` in its __init__ method but has defined deprecated kwargs'''
          ''' under the `_deprecated_kwargs` class attribute. Make sure to either add the `**kwargs` argument to'''
          f''' {self.model_class}.__init__ if there are deprecated arguments or remove the deprecated argument'''
          ''' from `_deprecated_kwargs = [<deprecated_argument>]`'''		)





'''simple docstring'''

import timeit





class 				lowercase    :


   def __init__( self					:						Dict ,		__lowerCAmelCase					:						Any)   ->       Optional[int]:
         if isinstance(__lowerCAmelCase ,		__lowerCAmelCase):  # Initializes a matrix identical to the one provided.
               lowercase_     			=   arg
               lowercase_     			=   len(__lowerCAmelCase)
         else:  # Initializes a square matrix of the given size and set values to zero.
               lowercase_     			=   arg
               lowercase_     			=   [[0 for _ in range(self.n)] for _ in range(self.n)]


   def __mul__( self					:						int ,		__lowerCAmelCase					:						List[str])   ->       Union[str, Any]:
         lowercase_     			=   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 __a			(						__lowerCamelCase      :    List[str]			,		__lowerCamelCase      :    Dict					)						->				Optional[Any]:
      '''simple docstring'''


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


def __a			(						__lowerCamelCase      :    Tuple			,		__lowerCamelCase      :    Tuple			,		__lowerCamelCase      :    List[Any]					)						->				Dict:
      '''simple docstring'''


      if n == 1:
            return fa
      elif n == 2:
            return fa
      lowercase_     			=   Matrix([[1, 1], [1, 0]]					)
      lowercase_     			=   modular_exponentiation(__lowerCamelCase			,		n - 2					)
      return fa * matrix.t[0][0] + fa * matrix.t[0][1]


def __a			(						__lowerCamelCase      :    List[Any]			,		__lowerCamelCase      :    Union[str, Any]			,		__lowerCamelCase      :    List[str]					)						->				Optional[Any]:
      '''simple docstring'''


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

      lowercase_     			=   fa
      lowercase_     			=   fa
      n -= 2

      while n > 0:
            lowercase_			,				lowercase_     			=   fn_a + fn_a, fn_a
            n -= 1

      return fn_a


def __a			(						)						->				str:
      '''simple docstring'''


      lowercase_     			=   "\nfrom random import randint\nfrom __main__ import fibonacci_with_matrix_exponentiation\n"
      lowercase_     			=   "fibonacci_with_matrix_exponentiation(randint(1,70000), 1, 1)"
      lowercase_     			=   timeit.timeit(setup=__lowerCamelCase			,		stmt=__lowerCamelCase			,		number=100					)
      print("With matrix exponentiation the average execution time is "			,		exec_time / 100					)
      return exec_time


def __a			(						)						->				Optional[Any]:
      '''simple docstring'''


      lowercase_     			=   "\nfrom random import randint\nfrom __main__ import simple_fibonacci\n"
      lowercase_     			=   "simple_fibonacci(randint(1,70000), 1, 1)"
      lowercase_     			=   timeit.timeit(setup=__lowerCamelCase			,		stmt=__lowerCamelCase			,		number=100					)
      print(
          "Without matrix exponentiation the average execution time is "			,		exec_time / 100					)
      return exec_time


def __a			(						)						->				Tuple:
      '''simple docstring'''


      matrix_exponentiation_time()
      simple_fibonacci_time()


if __name__ == "__main__":
       main()






