






'''simple docstring'''





import math
from typing import Optional

import numpy as np

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


__A							:							Tuple  							=		logging.get_logger(__name__)

__A							:							Any  							=		{
    "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 				lowercase       (							_UpperCAmelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							"encodec"

    def __init__(					self     :     List[str]				,     __lowerCamelCase     :     Tuple=[1.5, 3.0, 6.0, 12.0, 24.0]				,     __lowerCamelCase     :     str=24000				,     __lowerCamelCase     :     Any=1				,     __lowerCamelCase     :     List[Any]=False				,     __lowerCamelCase     :     Optional[int]=None				,     __lowerCamelCase     :     Optional[Any]=None				,     __lowerCamelCase     :     str=128				,     __lowerCamelCase     :     Any=32				,     __lowerCamelCase     :     int=1				,     __lowerCamelCase     :     Dict=[8, 5, 4, 2]				,     __lowerCamelCase     :     List[Any]="weight_norm"				,     __lowerCamelCase     :     Optional[int]=7				,     __lowerCamelCase     :     Tuple=7				,     __lowerCamelCase     :     Optional[Any]=3				,     __lowerCamelCase     :     int=2				,     __lowerCamelCase     :     Dict=True				,     __lowerCamelCase     :     Optional[int]="reflect"				,     __lowerCamelCase     :     Optional[int]=2				,     __lowerCamelCase     :     Union[str, Any]=2				,     __lowerCamelCase     :     Dict=1.0				,     __lowerCamelCase     :     Any=1024				,     __lowerCamelCase     :     str=None				,     __lowerCamelCase     :     Union[str, Any]=True				,     **__lowerCamelCase     :     Optional[int]				,     )							->							Dict:

     '''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__(**lowerCamelCase_     )

    @property
    def    a__				(					self     :     Optional[Any]     )							->							Optional[int]:

     '''simple docstring'''




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

    @property
    def    a__				(					self     :     List[str]     )							->							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    a__				(					self     :     Dict     )							->							int:

     '''simple docstring'''




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




    @property
    def    a__				(					self     :     Dict     )							->							int:

     '''simple docstring'''




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










'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__A							:							Optional[Any]  							=		logging.get_logger(__name__)

__A							:							int  							=		{
    """google/vit-base-patch16-224""": """https://huggingface.co/vit-base-patch16-224/resolve/main/config.json""",
    # See all ViT models at https://huggingface.co/models?filter=vit
}
class 				lowercase       (							_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							"vit"

    def __init__(					self     :     Optional[int]				,     __lowerCamelCase     :     Tuple=768				,     __lowerCamelCase     :     Tuple=12				,     __lowerCamelCase     :     Tuple=12				,     __lowerCamelCase     :     int=3072				,     __lowerCamelCase     :     Optional[Any]="gelu"				,     __lowerCamelCase     :     Optional[int]=0.0				,     __lowerCamelCase     :     Tuple=0.0				,     __lowerCamelCase     :     Optional[Any]=0.0_2				,     __lowerCamelCase     :     int=1E-12				,     __lowerCamelCase     :     Tuple=224				,     __lowerCamelCase     :     int=16				,     __lowerCamelCase     :     Optional[int]=3				,     __lowerCamelCase     :     List[str]=True				,     __lowerCamelCase     :     str=16				,     **__lowerCamelCase     :     Optional[int]				,     )							->							str:

     '''simple docstring'''




     super().__init__(**__lowerCamelCase     )

     lowerCamelCase__  =     hidden_size
     lowerCamelCase__  =     num_hidden_layers
     lowerCamelCase__  =     num_attention_heads
     lowerCamelCase__  =     intermediate_size
     lowerCamelCase__  =     hidden_act
     lowerCamelCase__  =     hidden_dropout_prob
     lowerCamelCase__  =     attention_probs_dropout_prob
     lowerCamelCase__  =     initializer_range
     lowerCamelCase__  =     layer_norm_eps
     lowerCamelCase__  =     image_size
     lowerCamelCase__  =     patch_size
     lowerCamelCase__  =     num_channels
     lowerCamelCase__  =     qkv_bias
     lowerCamelCase__  =     encoder_stride
class 				lowercase       (							_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							version.parse("1.11"      )

    @property
    def    a__				(					self     :     Optional[int]     )							->							Mapping[str, Mapping[int, str]]:

     '''simple docstring'''




     return OrderedDict(
         [
             ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
         ]     )




    @property
    def    a__				(					self     :     Optional[int]     )							->							float:

     '''simple docstring'''




     return 1E-4

