

def       __a       (   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      )      ->     Optional[int]:






    '''simple docstring'''
    if start == end:
        return start if lst[start] > item else start + 1
    if start > end:
        return start

    __UpperCAmelCase									=			(start + end) // 2
    if lst[mid] < item:
        return binary_search(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   mid + 1       ,   SCREAMING_SNAKE_CASE      )
    elif lst[mid] > item:
        return binary_search(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   mid - 1      )
    else:
        return mid


def       __a       (   SCREAMING_SNAKE_CASE      )      ->     Dict:






    '''simple docstring'''
    __UpperCAmelCase									=			len(SCREAMING_SNAKE_CASE      )

    for index in range(1       ,   SCREAMING_SNAKE_CASE      ):
        __UpperCAmelCase									=			lst[index]
        __UpperCAmelCase									=			binary_search(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   0       ,   index - 1      )
        __UpperCAmelCase									=			lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

    return lst


def       __a       (   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      )      ->     Dict:






    '''simple docstring'''
    if not left:
        return right

    if not right:
        return left

    if left[0] < right[0]:
        return [left[0], *merge(left[1:]       ,   SCREAMING_SNAKE_CASE      )]

    return [right[0], *merge(SCREAMING_SNAKE_CASE       ,   right[1:]      )]


def       __a       (   SCREAMING_SNAKE_CASE      )      ->     Tuple:






    '''simple docstring'''
    __UpperCAmelCase									=			len(SCREAMING_SNAKE_CASE      )
    __UpperCAmelCase					,     __UpperCAmelCase									=			[], []
    __UpperCAmelCase									=			[lst[0]]
    __UpperCAmelCase									=			[]
    __UpperCAmelCase									=			1
    while i < length:
        if lst[i] < lst[i - 1]:
            runs.append(SCREAMING_SNAKE_CASE      )
            __UpperCAmelCase									=			[lst[i]]
        else:
            new_run.append(lst[i]      )
        i += 1
    runs.append(SCREAMING_SNAKE_CASE      )

    for run in runs:
        sorted_runs.append(insertion_sort(SCREAMING_SNAKE_CASE      )      )
    for run in sorted_runs:
        __UpperCAmelCase									=			merge(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE      )

    return sorted_array


def       __a       (   )      ->     List[str]:






    '''simple docstring'''
    __UpperCAmelCase									=			[5, 9, 1_0, 3, -4, 5, 1_7_8, 9_2, 4_6, -1_8, 0, 7]
    __UpperCAmelCase									=			tim_sort(SCREAMING_SNAKE_CASE      )
    print(SCREAMING_SNAKE_CASE      )


if __name__ == "__main__":
       main()







import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


A_		:			int										=   logging.get_logger(__name__)
class 					A_   (      _a						):


    '''simple docstring'''






    a__     							=       "speech-encoder-decoder"
    a__     							=       True


    def __init__(self     ,      **lowercase__  )     ->      Optional[int]:
        super().__init__(**lowercase__  )
        if "encoder" not in kwargs or "decoder" not in kwargs:
            raise ValueError(
                F'''A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'''
                F''' `decoder` sub-configurations are passed, but only {kwargs}'''  )

        __UpperCAmelCase									=			kwargs.pop('''encoder'''  )
        __UpperCAmelCase									=			encoder_config.pop('''model_type'''  )
        __UpperCAmelCase									=			kwargs.pop('''decoder'''  )
        __UpperCAmelCase									=			decoder_config.pop('''model_type'''  )

        __UpperCAmelCase									=			AutoConfig.for_model(lowercase__     ,      **lowercase__  )
        __UpperCAmelCase									=			AutoConfig.for_model(lowercase__     ,      **lowercase__  )
        __UpperCAmelCase									=			True


    @classmethod
    def      lowerCAmelCase_						(cls     ,      lowercase__     ,      lowercase__     ,      **lowercase__  )     ->      PretrainedConfig:
        logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''  )
        __UpperCAmelCase									=			True
        __UpperCAmelCase									=			True

        return cls(encoder=encoder_config.to_dict()     ,      decoder=decoder_config.to_dict()     ,      **lowercase__  )






    def      lowerCAmelCase_						(self  )     ->      Optional[Any]:
        __UpperCAmelCase									=			copy.deepcopy(self.__dict__  )
        __UpperCAmelCase									=			self.encoder.to_dict()
        __UpperCAmelCase									=			self.decoder.to_dict()
        __UpperCAmelCase									=			self.__class__.model_type
        return output




