"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowercase__					       =	{
    'configuration_blenderbot_small': [
        'BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BlenderbotSmallConfig',
        'BlenderbotSmallOnnxConfig',
    ],
    'tokenization_blenderbot_small': ['BlenderbotSmallTokenizer'],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowercase__					       =	['BlenderbotSmallTokenizerFast']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowercase__					       =	[
     'BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST',
     'BlenderbotSmallForCausalLM',
     'BlenderbotSmallForConditionalGeneration',
     'BlenderbotSmallModel',
     'BlenderbotSmallPreTrainedModel',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowercase__					       =	[
     'TFBlenderbotSmallForConditionalGeneration',
     'TFBlenderbotSmallModel',
     'TFBlenderbotSmallPreTrainedModel',
 ]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowercase__					       =	[
     'FlaxBlenderbotSmallForConditionalGeneration',
     'FlaxBlenderbotSmallModel',
     'FlaxBlenderbotSmallPreTrainedModel',
 ]

if TYPE_CHECKING:
 from .configuration_blenderbot_small import (
     BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
     BlenderbotSmallConfig,
     BlenderbotSmallOnnxConfig,
 )
 from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_blenderbot_small import (
      BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
      BlenderbotSmallForCausalLM,
      BlenderbotSmallForConditionalGeneration,
      BlenderbotSmallModel,
      BlenderbotSmallPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_blenderbot_small import (
      TFBlenderbotSmallForConditionalGeneration,
      TFBlenderbotSmallModel,
      TFBlenderbotSmallPreTrainedModel,
  )

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_blenderbot_small import (
      FlaxBlenderbotSmallForConditionalGeneration,
      FlaxBlenderbotSmallModel,
      FlaxBlenderbotSmallPreTrainedModel,
  )

else:
 import sys

 lowercase__					       =	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__					       =	logging.get_logger(__name__)

lowercase__					       =	{
    'MIT/ast-finetuned-audioset-10-10-0.4593': (
        'https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593/resolve/main/config.json'
    ),
}




class    __snake_case       (     __lowerCAmelCase				):
      a__        =		"""audio-spectrogram-transformer"""



      def __init__(						self    ,			lowercase=7_68    ,			lowercase=12    ,			lowercase=12    ,			lowercase=30_72    ,			lowercase="gelu"    ,			lowercase=0.0    ,			lowercase=0.0    ,			lowercase=0.02    ,			lowercase=1e-12    ,			lowercase=16    ,			lowercase=True    ,			lowercase=10    ,			lowercase=10    ,			lowercase=10_24    ,			lowercase=1_28    ,			**lowercase    ,			)	->			str:





        '''simple docstring'''





        super().__init__(**lowercase)

        a__:     Any										=	hidden_size
        a__:     int										=	num_hidden_layers
        a__:     Union[str, Any]										=	num_attention_heads
        a__:     Any										=	intermediate_size
        a__:     Union[str, Any]										=	hidden_act
        a__:     int										=	hidden_dropout_prob
        a__:     str										=	attention_probs_dropout_prob
        a__:     str										=	initializer_range
        a__:     Tuple										=	layer_norm_eps
        a__:     Any										=	patch_size
        a__:     int										=	qkv_bias
        a__:     Optional[Any]										=	frequency_stride
        a__:     int										=	time_stride
        a__:     List[str]										=	max_length
        a__:     Tuple										=	num_mel_bins


