

import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


lowercase_									=    set()
lowercase_									=    get_logger(__name__)
def 		_snake_case(       SCREAMING_SNAKE_CASE__     :      Optional[str] = None )				-> Optional[int]:





    '''simple docstring'''






    def decorator(SCREAMING_SNAKE_CASE__     :      Callable ):
        global _emitted_deprecation_warnings

        if inspect.isclass(SCREAMING_SNAKE_CASE__ ):
            A__        =  deprecated_class_or_function.__init__
            A__        =  deprecated_class_or_function.__name__
        else:
            A__        =  deprecated_class_or_function
            A__        =  deprecated_function.__name__
            # Support deprecating __init__ class method: class name instead
            A__        =  name if name != '__init__' else deprecated_function.__qualname__.split('.' )[-2]

        A__        =  (
            f'{name} is deprecated and will be removed in the next major version of datasets.' + f' {help_message}'
            if help_message
            else ''
        )

        @wraps(SCREAMING_SNAKE_CASE__ )
        def wrapper(*SCREAMING_SNAKE_CASE__     :      Tuple       ,     **SCREAMING_SNAKE_CASE__     :      Any ):
            A__        =  hash(SCREAMING_SNAKE_CASE__ )
            if func_hash not in _emitted_deprecation_warnings:
                warnings.warn(SCREAMING_SNAKE_CASE__       ,     category=SCREAMING_SNAKE_CASE__       ,     stacklevel=2 )
                _emitted_deprecation_warnings.add(SCREAMING_SNAKE_CASE__ )
            return deprecated_function(*SCREAMING_SNAKE_CASE__       ,     **SCREAMING_SNAKE_CASE__ )

        A__        =  'deprecated'

        if inspect.isclass(SCREAMING_SNAKE_CASE__ ):
            A__        =  wrapper
            return deprecated_class_or_function
        else:
            return wrapper

    return decorator


class 					A		(				enum.EnumMeta					):







    """simple docstring"""





    def __getattribute__( cls					:			Optional[Any],lowercase_					:			int						)->       Optional[Any]:





        '''simple docstring'''







        A__        =  super().__getattribute__(lowercase_						)
        if isinstance(lowercase_,enum.Enum						) and obj._on_access:
            obj._on_access()
        return obj


    def __getitem__( cls					:			int,lowercase_					:			Any						)->       Tuple:





        '''simple docstring'''







        A__        =  super().__getitem__(lowercase_						)
        if member._on_access:
            member._on_access()
        return member


    def __call__( cls					:			Optional[int],lowercase_					:			Tuple,lowercase_					:			List[Any]=None,*, lowercase_					:			Any=None,lowercase_					:			Optional[Any]=None,lowercase_					:			Any=None,lowercase_					:			Optional[int]=1						)->       List[str]:





        '''simple docstring'''







        A__        =  super().__call__(lowercase_,lowercase_,module=lowercase_,qualname=lowercase_,type=lowercase_,start=lowercase_						)
        if isinstance(lowercase_,enum.Enum						) and obj._on_access:
            obj._on_access()
        return obj




class 					A		(				enum.Enum       ,				metaclass=_UpperCAmelCase					):







    """simple docstring"""





    def __new__( cls					:			Any,lowercase_					:			str						)->       Any:





        '''simple docstring'''







        A__        =  object.__new__(cls						)
        A__        =  value
        A__        =  member.deprecate
        return member


    @property
    def 		snake_case__	( self					:			List[Any]						)->       List[Any]:





        '''simple docstring'''







        return ""


    def 		snake_case__	( self					:			List[str]						)->       Dict:





        '''simple docstring'''







        A__        =  F' {self.help_message}' if self.help_message else ''
        warnings.warn(
            F'\'{self.__objclass__.__name__}\' is deprecated and will be removed in the next major version of datasets.'
            + help_message,lowercase_,stacklevel=3,)




import timeit


class 					A		:







    """simple docstring"""





    def __init__( self					:			Optional[int],lowercase_					:			Union[str, Any]						)->       List[str]:





        '''simple docstring'''







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


    def __mul__( self					:			Union[str, Any],lowercase_					:			List[Any]						)->       List[str]:





        '''simple docstring'''







        A__        =  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(       SCREAMING_SNAKE_CASE__     :      List[Any]       ,     SCREAMING_SNAKE_CASE__     :      Optional[Any] )				-> Union[str, Any]:





    '''simple docstring'''






    A__        =  Matrix([[1, 0], [0, 1]] )
    while b > 0:
        if b & 1:
            matrix *= a
        a *= a
        b >>= 1
    return matrix
def 		_snake_case(       SCREAMING_SNAKE_CASE__     :      Optional[int]       ,     SCREAMING_SNAKE_CASE__     :      str       ,     SCREAMING_SNAKE_CASE__     :      Any )				-> List[str]:





    '''simple docstring'''






    if n == 1:
        return fa
    elif n == 2:
        return fa
    A__        =  Matrix([[1, 1], [1, 0]] )
    A__        =  modular_exponentiation(SCREAMING_SNAKE_CASE__       ,     n - 2 )
    return fa * matrix.t[0][0] + fa * matrix.t[0][1]
def 		_snake_case(       SCREAMING_SNAKE_CASE__     :      Dict       ,     SCREAMING_SNAKE_CASE__     :      Tuple       ,     SCREAMING_SNAKE_CASE__     :      Tuple )				-> Dict:





    '''simple docstring'''






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

    A__        =  fa
    A__        =  fa
    n -= 2

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

    return fn_a
def 		_snake_case(       )				-> Optional[Any]:





    '''simple docstring'''






    A__        =  '\nfrom random import randint\nfrom __main__ import fibonacci_with_matrix_exponentiation\n'
    A__        =  'fibonacci_with_matrix_exponentiation(randint(1,70000), 1, 1)'
    A__        =  timeit.timeit(setup=SCREAMING_SNAKE_CASE__       ,     stmt=SCREAMING_SNAKE_CASE__       ,     number=100 )
    print('With matrix exponentiation the average execution time is '       ,     exec_time / 100 )
    return exec_time
def 		_snake_case(       )				-> Optional[int]:





    '''simple docstring'''






    A__        =  '\nfrom random import randint\nfrom __main__ import simple_fibonacci\n'
    A__        =  'simple_fibonacci(randint(1,70000), 1, 1)'
    A__        =  timeit.timeit(setup=SCREAMING_SNAKE_CASE__       ,     stmt=SCREAMING_SNAKE_CASE__       ,     number=100 )
    print(
        'Without matrix exponentiation the average execution time is '       ,     exec_time / 100 )
    return exec_time
def 		_snake_case(       )				-> Union[str, Any]:





    '''simple docstring'''






    matrix_exponentiation_time()
    simple_fibonacci_time()


if __name__ == "__main__":
     main()

