





'''simple docstring'''




import math
from typing import Optional

import numpy as np

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


__SCREAMING_SNAKE_CASE     :Optional[int]       =				logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     :str       =				{
    '''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   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : Tuple           =							"""encodec"""




 def __init__(					self       :    Tuple	,			snake_case_       :    Optional[int]=[1.5, 3.0, 6.0, 1_2.0, 2_4.0]	,			snake_case_       :    Union[str, Any]=2_4_0_0_0	,			snake_case_       :    List[Any]=1	,			snake_case_       :    Optional[int]=False	,			snake_case_       :    Any=None	,			snake_case_       :    Dict=None	,			snake_case_       :    str=1_2_8	,			snake_case_       :    Union[str, Any]=3_2	,			snake_case_       :    Optional[int]=1	,			snake_case_       :    Optional[int]=[8, 5, 4, 2]	,			snake_case_       :    Dict="weight_norm"	,			snake_case_       :    List[str]=7	,			snake_case_       :    Optional[Any]=7	,			snake_case_       :    Dict=3	,			snake_case_       :    Dict=2	,			snake_case_       :    Tuple=True	,			snake_case_       :    Tuple="reflect"	,			snake_case_       :    Tuple=2	,			snake_case_       :    Tuple=2	,			snake_case_       :    Union[str, Any]=1.0	,			snake_case_       :    List[str]=1_0_2_4	,			snake_case_       :    Union[str, Any]=None	,			snake_case_       :    List[Any]=True	,			**snake_case_       :    List[Any]	,			):
      _UpperCAmelCase     							=   target_bandwidths
      _UpperCAmelCase     							=   sampling_rate
      _UpperCAmelCase     							=   audio_channels
      _UpperCAmelCase     							=   normalize
      _UpperCAmelCase     							=   chunk_length_s
      _UpperCAmelCase     							=   overlap
      _UpperCAmelCase     							=   hidden_size
      _UpperCAmelCase     							=   num_filters
      _UpperCAmelCase     							=   num_residual_layers
      _UpperCAmelCase     							=   upsampling_ratios
      _UpperCAmelCase     							=   norm_type
      _UpperCAmelCase     							=   kernel_size
      _UpperCAmelCase     							=   last_kernel_size
      _UpperCAmelCase     							=   residual_kernel_size
      _UpperCAmelCase     							=   dilation_growth_rate
      _UpperCAmelCase     							=   use_causal_conv
      _UpperCAmelCase     							=   pad_mode
      _UpperCAmelCase     							=   compress
      _UpperCAmelCase     							=   num_lstm_layers
      _UpperCAmelCase     							=   trim_right_ratio
      _UpperCAmelCase     							=   codebook_size
      _UpperCAmelCase     							=   codebook_dim if codebook_dim is not None else hidden_size
      _UpperCAmelCase     							=   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      lowercase	(					self       :    Optional[int]    ):
      if self.chunk_length_s is None:
           return None
      else:
           return int(self.chunk_length_s * self.sampling_rate    )




 @property
 def      lowercase	(					self       :    Tuple    ):
      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      lowercase	(					self       :    Dict    ):
      _UpperCAmelCase     							=   np.prod(self.upsampling_ratios    )
      return math.ceil(self.sampling_rate / hop_length    )




 @property
 def      lowercase	(					self       :    Union[str, Any]    ):
      return int(1_0_0_0 * self.target_bandwidths[-1] // (self.frame_rate * 1_0)    )











'''simple docstring'''




import pytest

from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs
@pytest.mark.parametrize(
    "kwargs, expected"			,     [
        ({"num_shards": 0, "max_num_jobs": 1}, []),
        ({"num_shards": 10, "max_num_jobs": 1}, [range(10       )]),
        ({"num_shards": 10, "max_num_jobs": 10}, [range(__lowercase			,     i + 1       ) for i in range(10       )]),
        ({"num_shards": 1, "max_num_jobs": 10}, [range(1       )]),
        ({"num_shards": 10, "max_num_jobs": 3}, [range(0			,     4       ), range(4			,     7       ), range(7			,     10       )]),
        ({"num_shards": 3, "max_num_jobs": 10}, [range(0			,     1       ), range(1			,     2       ), range(2			,     3       )]),
    ]			,     )
def 	UpperCAmelCase_							(					__lowercase							:      int			,     __lowercase							:      Dict       )		->       List[Any]:


     '''simple docstring'''



     _UpperCAmelCase     							=   _distribute_shards(**__lowercase       )
     assert out == expected
@pytest.mark.parametrize(
    "gen_kwargs, max_num_jobs, expected"			,     [
        ({"foo": 0}, 10, [{"foo": 0}]),
        ({"shards": [0, 1, 2, 3]}, 1, [{"shards": [0, 1, 2, 3]}]),
        ({"shards": [0, 1, 2, 3]}, 4, [{"shards": [0]}, {"shards": [1]}, {"shards": [2]}, {"shards": [3]}]),
        ({"shards": [0, 1]}, 4, [{"shards": [0]}, {"shards": [1]}]),
        ({"shards": [0, 1, 2, 3]}, 2, [{"shards": [0, 1]}, {"shards": [2, 3]}]),
    ]			,     )
def 	UpperCAmelCase_							(					__lowercase							:      Dict			,     __lowercase							:      Optional[Any]			,     __lowercase							:      int       )		->       str:


     '''simple docstring'''



     _UpperCAmelCase     							=   _split_gen_kwargs(__lowercase			,     __lowercase       )
     assert out == expected






@pytest.mark.parametrize(
    "gen_kwargs, expected"			,     [
        ({"foo": 0}, 1),
        ({"shards": [0]}, 1),
        ({"shards": [0, 1, 2, 3]}, 4),
        ({"shards": [0, 1, 2, 3], "foo": 0}, 4),
        ({"shards": [0, 1, 2, 3], "other": (0, 1)}, 4),
        ({"shards": [0, 1, 2, 3], "shards2": [0, 1]}, RuntimeError),
    ]			,     )
def 	UpperCAmelCase_							(					__lowercase							:      Optional[Any]			,     __lowercase							:      List[Any]       )		->       List[Any]:


     '''simple docstring'''



     if expected is RuntimeError:
          with pytest.raises(__lowercase       ):
               _number_of_shards_in_gen_kwargs(__lowercase       )
     else:
          _UpperCAmelCase     							=   _number_of_shards_in_gen_kwargs(__lowercase       )
          assert out == expected




