




'''simple docstring'''

import copy
from typing import Dict

from ...generation.configuration_utils import GenerationConfig
from ...utils import logging


a__         =     logging.get_logger(__name__)





class __magic_name__(						__lowerCAmelCase      ):
						UpperCAmelCase_		:					Optional[Any]    =  """semantic"""






						def __init__(   self						:						str					,   __UpperCamelCase						:						Optional[int]=1_0_0_0_0					,   __UpperCamelCase						:						Any=True					,   __UpperCamelCase						:						Any=7_6_8					,   __UpperCamelCase						:						Union[str, Any]=False					,   __UpperCamelCase						:						Union[str, Any]=False					,   __UpperCamelCase						:						List[str]=False					,   __UpperCamelCase						:						Tuple=False					,   __UpperCamelCase						:						Optional[int]=0.7					,   __UpperCamelCase						:						Union[str, Any]=True					,   __UpperCamelCase						:						str=1_0_0_4_8					,   __UpperCamelCase						:						Dict=1_2_9_5_9_5					,   __UpperCamelCase						:						Dict=1_2_9_5_9_9					,   __UpperCamelCase						:						Tuple=1_0_0_0_0					,   __UpperCamelCase						:						Optional[Any]=2_5_6					,   __UpperCamelCase						:						int=49.9					,   **__UpperCamelCase						:						Optional[int]					,   ):



									'''simple docstring'''






									super().__init__(
									    temperature=__UpperCamelCase					,   do_sample=__UpperCamelCase					,   eos_token_id=__UpperCamelCase					,   renormalize_logits=__UpperCamelCase					,   max_new_tokens=__UpperCamelCase					,   output_scores=__UpperCamelCase					,   return_dict_in_generate=__UpperCamelCase					,   output_hidden_states=__UpperCamelCase					,   output_attentions=__UpperCamelCase					,   **__UpperCamelCase					,   )

									snake_case__          =						text_encoding_offset
									snake_case__          =						text_pad_token
									snake_case__          =						eos_token_id
									snake_case__          =						semantic_infer_token
									snake_case__          =						semantic_vocab_size
									snake_case__          =						max_input_semantic_length
									snake_case__          =						semantic_rate_hz







class __magic_name__(						__lowerCAmelCase      ):
						UpperCAmelCase_		:					List[str]    =  """coarse_acoustics"""






						def __init__(   self						:						List[Any]					,   __UpperCamelCase						:						Optional[Any]=True					,   __UpperCamelCase						:						str=False					,   __UpperCamelCase						:						Dict=False					,   __UpperCamelCase						:						Optional[Any]=False					,   __UpperCamelCase						:						Dict=False					,   __UpperCamelCase						:						int=0.7					,   __UpperCamelCase						:						List[Any]=True					,   __UpperCamelCase						:						Any=1_2_0_4_8					,   __UpperCamelCase						:						Dict=7_5					,   __UpperCamelCase						:						Any=2					,   __UpperCamelCase						:						List[str]=1_2_0_5_0					,   __UpperCamelCase						:						List[str]=2_5_6					,   __UpperCamelCase						:						int = 6_3_0					,   __UpperCamelCase						:						int = 6_0					,   **__UpperCamelCase						:						List[Any]					,   ):



									'''simple docstring'''






									super().__init__(
									    temperature=__UpperCamelCase					,   do_sample=__UpperCamelCase					,   renormalize_logits=__UpperCamelCase					,   output_scores=__UpperCamelCase					,   return_dict_in_generate=__UpperCamelCase					,   output_hidden_states=__UpperCamelCase					,   output_attentions=__UpperCamelCase					,   **__UpperCamelCase					,   )

									snake_case__          =						coarse_semantic_pad_token
									snake_case__          =						coarse_rate_hz
									snake_case__          =						n_coarse_codebooks
									snake_case__          =						coarse_infer_token
									snake_case__          =						max_coarse_input_length
									snake_case__          =						max_coarse_history
									snake_case__          =						sliding_window_len







class __magic_name__(						__lowerCAmelCase      ):
						UpperCAmelCase_		:					List[str]    =  """fine_acoustics"""






						def __init__(   self						:						Optional[int]					,   __UpperCamelCase						:						Optional[int]=0.5					,   __UpperCamelCase						:						Union[str, Any]=5_1_2					,   __UpperCamelCase						:						Optional[Any]=1_0_2_4					,   __UpperCamelCase						:						List[Any]=8					,   **__UpperCamelCase						:						Tuple					,   ):



									'''simple docstring'''






									super().__init__(temperature=__UpperCamelCase       )

									snake_case__          =						max_fine_history_length
									snake_case__          =						max_fine_input_length
									snake_case__          =						n_fine_codebooks







class __magic_name__(						__lowerCAmelCase      ):
						UpperCAmelCase_		:					Tuple    =  """bark"""
						UpperCAmelCase_		:					Any    =  True






						def __init__(   self						:						Optional[int]					,   __UpperCamelCase						:						Dict = None					,   __UpperCamelCase						:						Dict = None					,   __UpperCamelCase						:						Dict = None					,   __UpperCamelCase						:						str=2_4_0_0_0					,   __UpperCamelCase						:						Optional[int]=1_0_2_4					,   **__UpperCamelCase						:						str					,   ):



									'''simple docstring'''






									if semantic_config is None:
												snake_case__          =						{}
												logger.info("""semantic_config is None. initializing the semantic model with default values."""       )

									if coarse_acoustics_config is None:
												snake_case__          =						{}
												logger.info("""coarse_acoustics_config is None. initializing the coarse model with default values."""       )

									if fine_acoustics_config is None:
												snake_case__          =						{}
												logger.info("""fine_acoustics_config is None. initializing the fine model with default values."""       )

									snake_case__          =						BarkSemanticGenerationConfig(**__UpperCamelCase       )
									snake_case__          =						BarkCoarseGenerationConfig(**__UpperCamelCase       )
									snake_case__          =						BarkFineGenerationConfig(**__UpperCamelCase       )

									snake_case__          =						sample_rate
									snake_case__          =						codebook_size






						@classmethod
						def       __lowerCAmelCase(   cls						:						Dict					,   __UpperCamelCase						:						BarkSemanticGenerationConfig					,   __UpperCamelCase						:						BarkCoarseGenerationConfig					,   __UpperCamelCase						:						BarkFineGenerationConfig					,   **__UpperCamelCase						:						Dict					,   ):



									'''simple docstring'''






									return cls(
									    semantic_config=semantic_config.to_dict()					,   coarse_acoustics_config=coarse_acoustics_config.to_dict()					,   fine_acoustics_config=fine_acoustics_config.to_dict()					,   **__UpperCamelCase					,   )







						def       __lowerCAmelCase(   self						:						int       ):



									'''simple docstring'''






									snake_case__          =						copy.deepcopy(self.__dict__       )

									snake_case__          =						self.semantic_config.to_dict()
									snake_case__          =						self.coarse_acoustics_config.to_dict()
									snake_case__          =						self.fine_acoustics_config.to_dict()

									snake_case__          =						self.__class__.model_type
									return output


import random


def        _UpperCAmelCase							(	_SCREAMING_SNAKE_CASE       :		List[Any]							):





    """simple docstring"""


    def is_sorted(_SCREAMING_SNAKE_CASE       :		List[Any]							):
        for i in range(len(_SCREAMING_SNAKE_CASE							) - 1							):
            if collection[i] > collection[i + 1]:
                return False
        return True

    while not is_sorted(_SCREAMING_SNAKE_CASE							):
        random.shuffle(_SCREAMING_SNAKE_CASE							)
    return collection


if __name__ == "__main__":
       UpperCamelCase__	:   Tuple								=     input("Enter numbers separated by a comma:\n").strip()
       UpperCamelCase__	:   List[str]								=     [int(item) for item in user_input.split(",")]
       print(bogo_sort(unsorted))


