"""simple docstring"""






import copy

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


__A         =				logging.get_logger(__name__)

__A         =				{
    "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 					UpperCAmelCase		(_UpperCAmelCase						):



    """simple docstring"""

    _UpperCAmelCase			:int							=				"musicgen_decoder"
    _UpperCAmelCase			:Tuple							=				["past_key_values"]






    def __init__(     self					,    _UpperCAmelCase=2048					,    _UpperCAmelCase=2048					,    _UpperCAmelCase=24					,    _UpperCAmelCase=4096					,    _UpperCAmelCase=16					,    _UpperCAmelCase=0.0					,    _UpperCAmelCase=True					,    _UpperCAmelCase="gelu"					,    _UpperCAmelCase=1024					,    _UpperCAmelCase=0.1					,    _UpperCAmelCase=0.0					,    _UpperCAmelCase=0.0					,    _UpperCAmelCase=0.02					,    _UpperCAmelCase=False					,    _UpperCAmelCase=4					,    _UpperCAmelCase=2048					,    _UpperCAmelCase=2048					,    _UpperCAmelCase=None					,    _UpperCAmelCase=False					,    **_UpperCAmelCase					,    ):
       lowercase__:     Dict      =   vocab_size
       lowercase__:     Tuple      =   max_position_embeddings
       lowercase__:     Dict      =   hidden_size
       lowercase__:     int      =   ffn_dim
       lowercase__:     int      =   num_hidden_layers
       lowercase__:     int      =   num_attention_heads
       lowercase__:     Any      =   dropout
       lowercase__:     Tuple      =   attention_dropout
       lowercase__:     Union[str, Any]      =   activation_dropout
       lowercase__:     int      =   activation_function
       lowercase__:     Union[str, Any]      =   initializer_factor
       lowercase__:     Dict      =   layerdrop
       lowercase__:     str      =   use_cache
       lowercase__:     Any      =   scale_embedding  # scale factor will be sqrt(d_model) if True
       lowercase__:     str      =   num_codebooks
       super().__init__(
           pad_token_id=_UpperCAmelCase					,    bos_token_id=_UpperCAmelCase					,    eos_token_id=_UpperCAmelCase					,    tie_word_embeddings=_UpperCAmelCase					,    **_UpperCAmelCase					,    )



class 					UpperCAmelCase		(_UpperCAmelCase						):



    """simple docstring"""

    _UpperCAmelCase			:Optional[int]							=				"musicgen"
    _UpperCAmelCase			:Union[str, Any]							=				True






    def __init__(     self					,    **_UpperCAmelCase							):
       super().__init__(**_UpperCAmelCase							)
       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'''							)

       lowercase__:     int      =   kwargs.pop('''text_encoder'''							)
       lowercase__:     List[str]      =   text_encoder_config.pop('''model_type'''							)

       lowercase__:     str      =   kwargs.pop('''audio_encoder'''							)
       lowercase__:     Union[str, Any]      =   audio_encoder_config.pop('''model_type'''							)

       lowercase__:     Optional[Any]      =   kwargs.pop('''decoder'''							)

       lowercase__:     str      =   AutoConfig.for_model(_UpperCAmelCase					,    **_UpperCAmelCase							)
       lowercase__:     Any      =   AutoConfig.for_model(_UpperCAmelCase					,    **_UpperCAmelCase							)
       lowercase__:     Any      =   MusicgenDecoderConfig(**_UpperCAmelCase							)
       lowercase__:     Any      =   True






    @classmethod
    def _snake_case    (     cls					,    _UpperCAmelCase					,    _UpperCAmelCase					,    _UpperCAmelCase					,    **_UpperCAmelCase					,    ):
       return cls(
           text_encoder=text_encoder_config.to_dict()					,    audio_encoder=audio_encoder_config.to_dict()					,    decoder=decoder_config.to_dict()					,    **_UpperCAmelCase					,    )






    def _snake_case    (     self							):
       lowercase__:     Dict      =   copy.deepcopy(self.__dict__							)
       lowercase__:     List[Any]      =   self.text_encoder.to_dict()
       lowercase__:     Tuple      =   self.audio_encoder.to_dict()
       lowercase__:     Dict      =   self.decoder.to_dict()
       lowercase__:     Optional[int]      =   self.__class__.model_type
       return output

"""simple docstring"""






from __future__ import annotations

import random
from collections.abc import Iterable
from typing import Any, Generic, TypeVar

__A         =				TypeVar("T", bound=bool)


class 					UpperCAmelCase		(Generic[T]						):



    """simple docstring"""

    def __init__(     self					,    _UpperCAmelCase							):
       lowercase__:     T      =   value
       lowercase__:     RandomizedHeapNode[T] | None      =   None
       lowercase__:     RandomizedHeapNode[T] | None      =   None






    @property
    def _snake_case    (     self							):
       return self._value






    @staticmethod
    def _snake_case    (     _UpperCAmelCase					,    _UpperCAmelCase							):
       if not roota:
          return roota

       if not roota:
          return roota

       if roota.value > roota.value:
          lowercase__,				lowercase__:     List[str]      =   roota, roota

       if random.choice([True, False]							):
          lowercase__,				lowercase__:     Any      =   roota.right, roota.left

       lowercase__:     Optional[int]      =   RandomizedHeapNode.merge(roota.left					,    _UpperCAmelCase							)

       return roota



class 					UpperCAmelCase		(Generic[T]						):



    """simple docstring"""

    def __init__(     self					,    _UpperCAmelCase = ()							):
       lowercase__:     RandomizedHeapNode[T] | None      =   None

       if data:
          for item in data:
             self.insert(_UpperCAmelCase							)






    def _snake_case    (     self					,    _UpperCAmelCase							):
       lowercase__:     Any      =   RandomizedHeapNode.merge(self._root					,    RandomizedHeapNode(_UpperCAmelCase							)							)






    def _snake_case    (     self							):
       lowercase__:     Union[str, Any]      =   self.top()

       if self._root is None:
          return None

       lowercase__:     int      =   RandomizedHeapNode.merge(self._root.left					,    self._root.right							)

       return result






    def _snake_case    (     self							):
       if not self._root:
          raise IndexError('''Can\'t get top element for the empty heap.'''							)
       return self._root.value






    def _snake_case    (     self							):
       lowercase__:     Dict      =   None






    def _snake_case    (     self							):
       lowercase__:     Optional[int]      =   []
       while self:
          result.append(self.pop()							)

       return result






    def __bool__(     self							):
       return self._root is not None


if __name__ == "__main__":
       import doctest

       doctest.testmod()
