

import copy

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


A_						:     List[str]			  =				logging.get_logger(__name__)

A_						:     List[Any]			  =				{
    'facebook/musicgen-small': 'https://huggingface.co/facebook/musicgen-small/resolve/main/config.json',
    # See all Musicgen models at https://huggingface.co/models?filter=musicgen
}
class    A_				( _a  ):


    '''simple docstring'''






    a__       							=    "musicgen_decoder"
    a__       							=    ["past_key_values"]


    def __init__(self       , lowercase__=2_048       , lowercase__=2_048       , lowercase__=24       , lowercase__=4_096       , lowercase__=16       , lowercase__=0.0       , lowercase__=True       , lowercase__="gelu"       , lowercase__=1_024       , lowercase__=0.1       , lowercase__=0.0       , lowercase__=0.0       , lowercase__=0.02       , lowercase__=False       , lowercase__=4       , lowercase__=2_048       , lowercase__=2_048       , lowercase__=None       , lowercase__=False       , **lowercase__       , )       -> Optional[int]:
        __UpperCAmelCase			   =     vocab_size
        __UpperCAmelCase			   =     max_position_embeddings
        __UpperCAmelCase			   =     hidden_size
        __UpperCAmelCase			   =     ffn_dim
        __UpperCAmelCase			   =     num_hidden_layers
        __UpperCAmelCase			   =     num_attention_heads
        __UpperCAmelCase			   =     dropout
        __UpperCAmelCase			   =     attention_dropout
        __UpperCAmelCase			   =     activation_dropout
        __UpperCAmelCase			   =     activation_function
        __UpperCAmelCase			   =     initializer_factor
        __UpperCAmelCase			   =     layerdrop
        __UpperCAmelCase			   =     use_cache
        __UpperCAmelCase			   =     scale_embedding  # scale factor will be sqrt(d_model) if True
        __UpperCAmelCase			   =     num_codebooks
        super().__init__(
            pad_token_id=lowercase__       , bos_token_id=lowercase__       , eos_token_id=lowercase__       , tie_word_embeddings=lowercase__       , **lowercase__       , )






class    A_				( _a  ):


    '''simple docstring'''






    a__       							=    "musicgen"
    a__       							=    True


    def __init__(self       , **lowercase__					)       -> Any:
        super().__init__(**lowercase__					)
        if "text_encoder" not in kwargs or "audio_encoder" not in kwargs or "decoder" not in kwargs:
            raise ValueError('''Config has to be initialized with text_encoder, audio_encoder and decoder config'''					)

        __UpperCAmelCase			   =     kwargs.pop('''text_encoder'''					)
        __UpperCAmelCase			   =     text_encoder_config.pop('''model_type'''					)

        __UpperCAmelCase			   =     kwargs.pop('''audio_encoder'''					)
        __UpperCAmelCase			   =     audio_encoder_config.pop('''model_type'''					)

        __UpperCAmelCase			   =     kwargs.pop('''decoder'''					)

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


    @classmethod
    def        lowerCAmelCase_  (cls       , lowercase__       , lowercase__       , lowercase__       , **lowercase__       , )       -> List[Any]:
        return cls(
            text_encoder=text_encoder_config.to_dict()       , audio_encoder=audio_encoder_config.to_dict()       , decoder=decoder_config.to_dict()       , **lowercase__       , )






    def        lowerCAmelCase_  (self					)       -> Dict:
        __UpperCAmelCase			   =     copy.deepcopy(self.__dict__					)
        __UpperCAmelCase			   =     self.text_encoder.to_dict()
        __UpperCAmelCase			   =     self.audio_encoder.to_dict()
        __UpperCAmelCase			   =     self.decoder.to_dict()
        __UpperCAmelCase			   =     self.__class__.model_type
        return output






def  __a    (				SCREAMING_SNAKE_CASE ) ->       float:






    '''simple docstring'''
    return -num if num < 0 else num


def  __a    (				SCREAMING_SNAKE_CASE ) ->       int:






    '''simple docstring'''
    if len(SCREAMING_SNAKE_CASE ) == 0:
        raise ValueError('''abs_min() arg is an empty sequence''' )
    __UpperCAmelCase			   =     x[0]
    for i in x:
        if abs_val(SCREAMING_SNAKE_CASE ) < abs_val(SCREAMING_SNAKE_CASE ):
            __UpperCAmelCase			   =     i
    return j


def  __a    (				SCREAMING_SNAKE_CASE ) ->       int:






    '''simple docstring'''
    if len(SCREAMING_SNAKE_CASE ) == 0:
        raise ValueError('''abs_max() arg is an empty sequence''' )
    __UpperCAmelCase			   =     x[0]
    for i in x:
        if abs(SCREAMING_SNAKE_CASE ) > abs(SCREAMING_SNAKE_CASE ):
            __UpperCAmelCase			   =     i
    return j


def  __a    (				SCREAMING_SNAKE_CASE ) ->       int:






    '''simple docstring'''
    if len(SCREAMING_SNAKE_CASE ) == 0:
        raise ValueError('''abs_max_sort() arg is an empty sequence''' )
    return sorted(SCREAMING_SNAKE_CASE    ,				key=SCREAMING_SNAKE_CASE )[-1]


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






    '''simple docstring'''
    assert abs_val(0 ) == 0
    assert abs_val(3_4 ) == 3_4
    assert abs_val(-1_0_0_0_0_0_0_0_0_0_0_0 ) == 1_0_0_0_0_0_0_0_0_0_0_0

    __UpperCAmelCase			   =     [-3, -1, 2, -1_1]
    assert abs_max(SCREAMING_SNAKE_CASE ) == -1_1
    assert abs_max_sort(SCREAMING_SNAKE_CASE ) == -1_1
    assert abs_min(SCREAMING_SNAKE_CASE ) == -1


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       test_abs_val()
       print(abs_val(-34))  # --> 34




