import math
from typing import Optional

import numpy as np

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase_     =	logging.get_logger(__name__)

lowerCAmelCase_     =	{
    '''facebook/encodec_24khz''': '''https://huggingface.co/facebook/encodec_24khz/resolve/main/config.json''',
    '''facebook/encodec_48khz''': '''https://huggingface.co/facebook/encodec_48khz/resolve/main/config.json''',
}




class  _snake_case		(    __snake_case ):







				"""simple docstring"""






				a			=						"encodec"





				def __init__(      self							:							Union[str, Any]      ,    _A							:							int=[1.5, 3.0, 6.0, 12.0, 24.0]      ,    _A							:							Any=2_4_0_0_0      ,    _A							:							Dict=1      ,    _A							:							Union[str, Any]=False      ,    _A							:							Optional[Any]=None      ,    _A							:							Optional[int]=None      ,    _A							:							List[Any]=1_2_8      ,    _A							:							Union[str, Any]=3_2      ,    _A							:							Tuple=1      ,    _A							:							int=[8, 5, 4, 2]      ,    _A							:							List[Any]="weight_norm"      ,    _A							:							Any=7      ,    _A							:							Any=7      ,    _A							:							Any=3      ,    _A							:							Dict=2      ,    _A							:							List[str]=True      ,    _A							:							int="reflect"      ,    _A							:							str=2      ,    _A							:							Union[str, Any]=2      ,    _A							:							Dict=1.0      ,    _A							:							List[str]=1_0_2_4      ,    _A							:							List[Any]=None      ,    _A							:							Any=True      ,    **_A							:							Union[str, Any]      ,    ):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    target_bandwidths
											_SCREAMING_SNAKE_CASE		:						Dict			  =    sampling_rate
											_SCREAMING_SNAKE_CASE		:						Tuple			  =    audio_channels
											_SCREAMING_SNAKE_CASE		:						Any			  =    normalize
											_SCREAMING_SNAKE_CASE		:						int			  =    chunk_length_s
											_SCREAMING_SNAKE_CASE		:						List[str]			  =    overlap
											_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    hidden_size
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    num_filters
											_SCREAMING_SNAKE_CASE		:						str			  =    num_residual_layers
											_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    upsampling_ratios
											_SCREAMING_SNAKE_CASE		:						int			  =    norm_type
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    kernel_size
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    last_kernel_size
											_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    residual_kernel_size
											_SCREAMING_SNAKE_CASE		:						List[str]			  =    dilation_growth_rate
											_SCREAMING_SNAKE_CASE		:						List[str]			  =    use_causal_conv
											_SCREAMING_SNAKE_CASE		:						int			  =    pad_mode
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    compress
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    num_lstm_layers
											_SCREAMING_SNAKE_CASE		:						List[str]			  =    trim_right_ratio
											_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    codebook_size
											_SCREAMING_SNAKE_CASE		:						str			  =    codebook_dim if codebook_dim is not None else hidden_size
											_SCREAMING_SNAKE_CASE		:						Any			  =    use_conv_shortcut

											if self.norm_type not in ["weight_norm", "time_group_norm"]:
																		raise ValueError(
																		    f"""self.norm_type must be one of `\"weight_norm\"`, `\"time_group_norm\"`), got {self.norm_type}""")

											super().__init__(**_A)





				@property
				def 		_lowerCAmelCase		(      self							:							List[Any]):



											"""simple docstring"""







											if self.chunk_length_s is None:
																		return None
											else:
																		return int(self.chunk_length_s * self.sampling_rate)





				@property
				def 		_lowerCAmelCase		(      self							:							Optional[int]):



											"""simple docstring"""







											if self.chunk_length_s is None or self.overlap is None:
																		return None
											else:
																		return max(1      ,    int((1.0 - self.overlap) * self.chunk_length))





				@property
				def 		_lowerCAmelCase		(      self							:							Union[str, Any]):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						str			  =    np.prod(self.upsampling_ratios)
											return math.ceil(self.sampling_rate / hop_length)





				@property
				def 		_lowerCAmelCase		(      self							:							Union[str, Any]):



											"""simple docstring"""







											return int(1_0_0_0 * self.target_bandwidths[-1] // (self.frame_rate * 1_0))



"""simple docstring"""





from typing import Any

import numpy as np



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    bool:
							return np.array_equal(__SCREAMING_SNAKE_CASE     ,	matrix.conjugate().T  )



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )->    Any:
							_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    v.conjugate().T
							_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    v_star.dot(__SCREAMING_SNAKE_CASE  )
							assert isinstance(__SCREAMING_SNAKE_CASE     ,	np.ndarray  )
							return (v_star_dot.dot(__SCREAMING_SNAKE_CASE  )) / (v_star.dot(__SCREAMING_SNAKE_CASE  ))



def      lowerCamelCase_()->    None:
							_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    np.array([[2, 2 + 1j, 4], [2 - 1j, 3, 1j], [4, -1j, 1]]  )
							_SCREAMING_SNAKE_CASE		:						int			  =    np.array([[1], [2], [3]]  )
							assert is_hermitian(__SCREAMING_SNAKE_CASE  ), F"""{a} is not hermitian."""
							print(rayleigh_quotient(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )  )

							_SCREAMING_SNAKE_CASE		:						int			  =    np.array([[1, 2, 4], [2, 3, -1], [4, -1, 1]]  )
							assert is_hermitian(__SCREAMING_SNAKE_CASE  ), F"""{a} is not hermitian."""
							assert rayleigh_quotient(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  ) == float(3  )


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			tests()


