



import math
from typing import Optional

import numpy as np

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


A__	      =       logging.get_logger(__name__)

A__	      =       {
    """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 					__lowerCAmelCase (     lowerCamelCase__       ):
				__lowerCamelCase =				'''encodec'''




				def __init__(							self						,				_snake_case=[1.5, 3.0, 6.0, 12.0, 24.0]						,				_snake_case=24000						,				_snake_case=1						,				_snake_case=False						,				_snake_case=None						,				_snake_case=None						,				_snake_case=128						,				_snake_case=32						,				_snake_case=1						,				_snake_case=[8, 5, 4, 2]						,				_snake_case="weight_norm"						,				_snake_case=7						,				_snake_case=7						,				_snake_case=3						,				_snake_case=2						,				_snake_case=True						,				_snake_case="reflect"						,				_snake_case=2						,				_snake_case=2						,				_snake_case=1.0						,				_snake_case=1024						,				_snake_case=None						,				_snake_case=True						,				**_snake_case						,				):



									"""simple docstring"""





									_lowerCAmelCase						=    target_bandwidths
									_lowerCAmelCase						=    sampling_rate
									_lowerCAmelCase						=    audio_channels
									_lowerCAmelCase						=    normalize
									_lowerCAmelCase						=    chunk_length_s
									_lowerCAmelCase						=    overlap
									_lowerCAmelCase						=    hidden_size
									_lowerCAmelCase						=    num_filters
									_lowerCAmelCase						=    num_residual_layers
									_lowerCAmelCase						=    upsampling_ratios
									_lowerCAmelCase						=    norm_type
									_lowerCAmelCase						=    kernel_size
									_lowerCAmelCase						=    last_kernel_size
									_lowerCAmelCase						=    residual_kernel_size
									_lowerCAmelCase						=    dilation_growth_rate
									_lowerCAmelCase						=    use_causal_conv
									_lowerCAmelCase						=    pad_mode
									_lowerCAmelCase						=    compress
									_lowerCAmelCase						=    num_lstm_layers
									_lowerCAmelCase						=    trim_right_ratio
									_lowerCAmelCase						=    codebook_size
									_lowerCAmelCase						=    codebook_dim if codebook_dim is not None else hidden_size
									_lowerCAmelCase						=    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__(**_snake_case		)




				@property
				def 							snake_case   (							self		):



									"""simple docstring"""





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




				@property
				def 							snake_case   (							self		):



									"""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 							snake_case   (							self		):



									"""simple docstring"""





									_lowerCAmelCase						=    np.prod(self.upsampling_ratios		)
									return math.ceil(self.sampling_rate / hop_length		)




				@property
				def 							snake_case   (							self		):



									"""simple docstring"""





									return int(1000 * self.target_bandwidths[-1] // (self.frame_rate * 10)		)







"""simple docstring"""
import pytest

import datasets


# Import fixture modules as plugins
SCREAMING_SNAKE_CASE :    List[Any]									=				["""tests.fixtures.files""", """tests.fixtures.hub""", """tests.fixtures.fsspec"""]






def 		lowercase							(     _snake_case						:      Optional[int]     ,   _snake_case						:      Optional[int]     )     ->Tuple:
	"""simple docstring"""





	for item in items:
		if any(marker in item.keywords for marker in ['''integration''', '''unit''']     ):
			continue
		item.add_marker(pytest.mark.unit     )






def 		lowercase							(     _snake_case						:      List[str]     )     ->Optional[int]:
	"""simple docstring"""





	config.addinivalue_line('''markers'''     ,   '''torchaudio_latest: mark test to run with torchaudio>=0.12'''     )






@pytest.fixture(autouse=_snake_case     )
def 		lowercase							(     _snake_case						:      Optional[Any]     ,   _snake_case						:      Dict     )     ->Any:
	"""simple docstring"""





	__snake_case	:						List[Any]						=				tmp_path_factory.getbasetemp() / '''cache'''
	__snake_case	:						int						=				test_hf_cache_home / '''datasets'''
	__snake_case	:						Tuple						=				test_hf_cache_home / '''metrics'''
	__snake_case	:						List[str]						=				test_hf_cache_home / '''modules'''
	monkeypatch.setattr('''datasets.config.HF_DATASETS_CACHE'''     ,   str(_snake_case     )     )
	monkeypatch.setattr('''datasets.config.HF_METRICS_CACHE'''     ,   str(_snake_case     )     )
	monkeypatch.setattr('''datasets.config.HF_MODULES_CACHE'''     ,   str(_snake_case     )     )
	__snake_case	:						Optional[int]						=				test_hf_datasets_cache / '''downloads'''
	monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH'''     ,   str(_snake_case     )     )
	__snake_case	:						Tuple						=				test_hf_datasets_cache / '''downloads''' / '''extracted'''
	monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''     ,   str(_snake_case     )     )






@pytest.fixture(autouse=_snake_case     ,   scope='''session'''     )
def 		lowercase							(     )     ->Any:
	"""simple docstring"""





	datasets.disable_progress_bar()






@pytest.fixture(autouse=_snake_case     )
def 		lowercase							(     _snake_case						:      Tuple     )     ->Union[str, Any]:
	"""simple docstring"""





	monkeypatch.setattr('''datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'''     ,   _snake_case     )






@pytest.fixture
def 		lowercase							(     _snake_case						:      Any     )     ->Optional[Any]:
	"""simple docstring"""





	monkeypatch.setattr('''sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'''     ,   _snake_case     )





