

"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


_a							=							logging.get_logger(__name__)

_a							=							{
    'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/config.json',
    'umberto-commoncrawl-cased-v1': (
        'https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json'
    ),
    'umberto-wikipedia-uncased-v1': (
        'https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json'
    ),
}




class  _lowerCAmelCase  (     snake_case_       ):







   """simple docstring"""







   __UpperCAmelCase     : int       		=     "camembert"


   def __init__(      self							:      Optional[int], UpperCAmelCase__							:      int=3_0_5_2_2, UpperCAmelCase__							:      Union[str, Any]=7_6_8, UpperCAmelCase__							:      Any=1_2, UpperCAmelCase__							:      Tuple=1_2, UpperCAmelCase__							:      List[Any]=3_0_7_2, UpperCAmelCase__							:      Optional[Any]="gelu", UpperCAmelCase__							:      Optional[Any]=0.1, UpperCAmelCase__							:      int=0.1, UpperCAmelCase__							:      Union[str, Any]=5_1_2, UpperCAmelCase__							:      str=2, UpperCAmelCase__							:      Any=0.02, UpperCAmelCase__							:      List[str]=1E-12, UpperCAmelCase__							:      Optional[int]=1, UpperCAmelCase__							:      List[str]=0, UpperCAmelCase__							:      Optional[int]=2, UpperCAmelCase__							:      Union[str, Any]="absolute", UpperCAmelCase__							:      List[str]=True, UpperCAmelCase__							:      Optional[int]=None, **UpperCAmelCase__							:      str, ):
      super().__init__(pad_token_id=UpperCAmelCase__, bos_token_id=UpperCAmelCase__, eos_token_id=UpperCAmelCase__, **UpperCAmelCase__     )

      __lowercase								=						vocab_size
      __lowercase								=						hidden_size
      __lowercase								=						num_hidden_layers
      __lowercase								=						num_attention_heads
      __lowercase								=						hidden_act
      __lowercase								=						intermediate_size
      __lowercase								=						hidden_dropout_prob
      __lowercase								=						attention_probs_dropout_prob
      __lowercase								=						max_position_embeddings
      __lowercase								=						type_vocab_size
      __lowercase								=						initializer_range
      __lowercase								=						layer_norm_eps
      __lowercase								=						position_embedding_type
      __lowercase								=						use_cache
      __lowercase								=						classifier_dropout







class  _lowerCAmelCase  (     snake_case_       ):







   """simple docstring"""







   @property
   def  _lowercase			(      self							:      Dict     ):
      if self.task == "multiple-choice":
         __lowercase								=						{0: "batch", 1: "choice", 2: "sequence"}
      else:
         __lowercase								=						{0: "batch", 1: "sequence"}
      return OrderedDict(
          [
              ("input_ids", dynamic_axis),
              ("attention_mask", dynamic_axis),
          ]     )







"""simple docstring"""





from ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


try:
   if not (is_transformers_available() and is_torch_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
   from .notes_encoder import SpectrogramNotesEncoder
   from .continous_encoder import SpectrogramContEncoder
   from .pipeline_spectrogram_diffusion import (
       SpectrogramContEncoder,
       SpectrogramDiffusionPipeline,
       TaFilmDecoder,
   )

try:
   if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
   from .midi_utils import MidiProcessor




