


"""simple docstring"""






import copy

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


lowercase  		=			logging.get_logger(__name__)

lowercase  		=			{
    """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 			SCREAMING_SNAKE_CASE_  (   _lowercase):




							'''simple docstring'''





							__magic_name__					:     Optional[Any]				  =  '''musicgen_decoder'''
							__magic_name__					:     Union[str, Any]				  =  ['''past_key_values''']




							def __init__(						self	,					lowerCamelCase__=2_048	,					lowerCamelCase__=2_048	,					lowerCamelCase__=24	,					lowerCamelCase__=4_096	,					lowerCamelCase__=16	,					lowerCamelCase__=0.0	,					lowerCamelCase__=True	,					lowerCamelCase__="gelu"	,					lowerCamelCase__=1_024	,					lowerCamelCase__=0.1	,					lowerCamelCase__=0.0	,					lowerCamelCase__=0.0	,					lowerCamelCase__=0.02	,					lowerCamelCase__=False	,					lowerCamelCase__=4	,					lowerCamelCase__=2_048	,					lowerCamelCase__=2_048	,					lowerCamelCase__=None	,					lowerCamelCase__=False	,					**lowerCamelCase__	,					)   ->	int:







								'''simple docstring'''




								snake_case__  :						Optional[int]		=      vocab_size
								snake_case__  :						Optional[Any]		=      max_position_embeddings
								snake_case__  :						List[str]		=      hidden_size
								snake_case__  :						str		=      ffn_dim
								snake_case__  :						Optional[Any]		=      num_hidden_layers
								snake_case__  :						Union[str, Any]		=      num_attention_heads
								snake_case__  :						int		=      dropout
								snake_case__  :						Union[str, Any]		=      attention_dropout
								snake_case__  :						List[Any]		=      activation_dropout
								snake_case__  :						Union[str, Any]		=      activation_function
								snake_case__  :						int		=      initializer_factor
								snake_case__  :						int		=      layerdrop
								snake_case__  :						Union[str, Any]		=      use_cache
								snake_case__  :						str		=      scale_embedding  # scale factor will be sqrt(d_model) if True
								snake_case__  :						Tuple		=      num_codebooks
								super().__init__(
								    pad_token_id=lowerCamelCase__	,					bos_token_id=lowerCamelCase__	,					eos_token_id=lowerCamelCase__	,					tie_word_embeddings=lowerCamelCase__	,					**lowerCamelCase__	,					)


class 			SCREAMING_SNAKE_CASE_  (   _lowercase):




							'''simple docstring'''





							__magic_name__					:     str				  =  '''musicgen'''
							__magic_name__					:     Union[str, Any]				  =  True




							def __init__(						self	,					**lowerCamelCase__)   ->	List[str]:







								'''simple docstring'''




								super().__init__(**lowerCamelCase__)
								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")

								snake_case__  :						str		=      kwargs.pop("text_encoder")
								snake_case__  :						Optional[int]		=      text_encoder_config.pop("model_type")

								snake_case__  :						Dict		=      kwargs.pop("audio_encoder")
								snake_case__  :						List[str]		=      audio_encoder_config.pop("model_type")

								snake_case__  :						str		=      kwargs.pop("decoder")

								snake_case__  :						Tuple		=      AutoConfig.for_model(lowerCamelCase__	,					**lowerCamelCase__)
								snake_case__  :						Dict		=      AutoConfig.for_model(lowerCamelCase__	,					**lowerCamelCase__)
								snake_case__  :						Optional[int]		=      MusicgenDecoderConfig(**lowerCamelCase__)
								snake_case__  :						List[str]		=      True




							@classmethod
							def        UpperCAmelCase (						cls	,					lowerCamelCase__	,					lowerCamelCase__	,					lowerCamelCase__	,					**lowerCamelCase__	,					)   ->	Optional[int]:







								'''simple docstring'''




								return cls(
								    text_encoder=text_encoder_config.to_dict()	,					audio_encoder=audio_encoder_config.to_dict()	,					decoder=decoder_config.to_dict()	,					**lowerCamelCase__	,					)







							def        UpperCAmelCase (						self)   ->	Optional[int]:







								'''simple docstring'''




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






'''simple docstring'''





from itertools import count
from math import asin, pi, sqrt






def SCREAMING_SNAKE_CASE__  (				snake_case       :				float  )   ->				float:







     """simple docstring"""
     return (
         (1 - 2 * point) * sqrt(point - point**2  ) + 2 * point + asin(sqrt(1 - point  )  )
     ) / 4






def SCREAMING_SNAKE_CASE__  (				snake_case       :				int  )   ->				float:







     """simple docstring"""
     a					:							List[str]							= (circles_number + 1 - sqrt(2 * circles_number  )) / (
         2 * (circles_number**2 + 1)
     )
     a					:							int							= circles_number * intersection_y

     a					:							List[Any]							= intersection_x * intersection_y / 2
     a					:							List[str]							= circle_bottom_arc_integral(
         1 / 2  ) - circle_bottom_arc_integral(snake_case  )

     return triangle_area + concave_region_area






def SCREAMING_SNAKE_CASE__  (				snake_case       :				float = 1 / 1_000  )   ->				int:







     """simple docstring"""
     a					:							str							= (1 - pi / 4) / 4

     for n in count(1  ):
          if concave_triangle_area(snake_case  ) / l_section_area < fraction:
               return n

     return -1


if __name__ == "__main__":
      print(f'''{solution() = }''')

