






'''simple docstring'''





import math

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


__A							:							int  							=		logging.get_logger(__name__)

__A							:							int  							=		{
    """facebook/data2vec-base-960h""": """https://huggingface.co/facebook/data2vec-audio-base-960h/resolve/main/config.json""",
    # See all Data2VecAudio models at https://huggingface.co/models?filter=data2vec-audio
}
class 				lowercase       (							_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							"data2vec-audio"

    def __init__(					self     :     str				,     __lowerCamelCase     :     List[str]=32				,     __lowerCamelCase     :     Optional[int]=768				,     __lowerCamelCase     :     Tuple=12				,     __lowerCamelCase     :     List[str]=12				,     __lowerCamelCase     :     Dict=3072				,     __lowerCamelCase     :     str="gelu"				,     __lowerCamelCase     :     Any=0.1				,     __lowerCamelCase     :     List[str]=0.1				,     __lowerCamelCase     :     Optional[Any]=0.1				,     __lowerCamelCase     :     int=0.0				,     __lowerCamelCase     :     Tuple=0.1				,     __lowerCamelCase     :     List[str]=0.1				,     __lowerCamelCase     :     List[str]=0.0_2				,     __lowerCamelCase     :     Optional[int]=1E-5				,     __lowerCamelCase     :     List[Any]="gelu"				,     __lowerCamelCase     :     List[Any]=(512, 512, 512, 512, 512, 512, 512)				,     __lowerCamelCase     :     Optional[Any]=(5, 2, 2, 2, 2, 2, 2)				,     __lowerCamelCase     :     Dict=(10, 3, 3, 3, 3, 2, 2)				,     __lowerCamelCase     :     Optional[int]=False				,     __lowerCamelCase     :     int=16				,     __lowerCamelCase     :     Optional[Any]=19				,     __lowerCamelCase     :     Tuple=5				,     __lowerCamelCase     :     Optional[Any]=0.0_5				,     __lowerCamelCase     :     Optional[int]=10				,     __lowerCamelCase     :     str=2				,     __lowerCamelCase     :     Union[str, Any]=0.0				,     __lowerCamelCase     :     List[str]=10				,     __lowerCamelCase     :     List[Any]=0				,     __lowerCamelCase     :     Any="sum"				,     __lowerCamelCase     :     Tuple=False				,     __lowerCamelCase     :     Union[str, Any]=False				,     __lowerCamelCase     :     Tuple=256				,     __lowerCamelCase     :     int=(512, 512, 512, 512, 1500)				,     __lowerCamelCase     :     Optional[Any]=(5, 3, 3, 1, 1)				,     __lowerCamelCase     :     Optional[int]=(1, 2, 3, 1, 1)				,     __lowerCamelCase     :     str=512				,     __lowerCamelCase     :     List[Any]=0				,     __lowerCamelCase     :     Optional[int]=1				,     __lowerCamelCase     :     Any=2				,     __lowerCamelCase     :     List[Any]=False				,     __lowerCamelCase     :     Optional[int]=3				,     __lowerCamelCase     :     Dict=2				,     __lowerCamelCase     :     List[Any]=3				,     __lowerCamelCase     :     Optional[int]=None				,     **__lowerCamelCase     :     List[str]				,     )							->							List[str]:

     '''simple docstring'''




     super().__init__(**__lowerCamelCase				,     pad_token_id=__lowerCamelCase				,     bos_token_id=__lowerCamelCase				,     eos_token_id=__lowerCamelCase     )
     lowerCamelCase__  =     hidden_size
     lowerCamelCase__  =     feat_extract_activation
     lowerCamelCase__  =     list(__lowerCamelCase     )
     lowerCamelCase__  =     list(__lowerCamelCase     )
     lowerCamelCase__  =     list(__lowerCamelCase     )
     lowerCamelCase__  =     conv_bias
     lowerCamelCase__  =     num_conv_pos_embeddings
     lowerCamelCase__  =     num_conv_pos_embedding_groups
     lowerCamelCase__  =     conv_pos_kernel_size
     lowerCamelCase__  =     len(self.conv_dim     )
     lowerCamelCase__  =     num_hidden_layers
     lowerCamelCase__  =     intermediate_size
     lowerCamelCase__  =     hidden_act
     lowerCamelCase__  =     num_attention_heads
     lowerCamelCase__  =     hidden_dropout
     lowerCamelCase__  =     attention_dropout
     lowerCamelCase__  =     activation_dropout
     lowerCamelCase__  =     feat_proj_dropout
     lowerCamelCase__  =     final_dropout
     lowerCamelCase__  =     layerdrop
     lowerCamelCase__  =     layer_norm_eps
     lowerCamelCase__  =     initializer_range
     lowerCamelCase__  =     vocab_size
     lowerCamelCase__  =     use_weighted_layer_sum

     if (
         (len(self.conv_stride     ) != self.num_feat_extract_layers)
         or (len(self.conv_kernel     ) != self.num_feat_extract_layers)
         or (len(self.conv_dim     ) != self.num_feat_extract_layers)
     ):
      raise ValueError(
          "Configuration for convolutional layers is incorrect. It is required that `len(config.conv_dim)` =="
          " `len(config.conv_stride)` == `len(config.conv_kernel)`, but is `len(config.conv_dim) ="
          f''' {len(self.conv_dim     )}`, `len(config.conv_stride) = {len(self.conv_stride     )}`,'''
          f''' `len(config.conv_kernel) = {len(self.conv_kernel     )}`.'''     )

     # fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
     lowerCamelCase__  =     mask_time_prob
     lowerCamelCase__  =     mask_time_length
     lowerCamelCase__  =     mask_time_min_masks
     lowerCamelCase__  =     mask_feature_prob
     lowerCamelCase__  =     mask_feature_length
     lowerCamelCase__  =     mask_feature_min_masks

     # ctc loss
     lowerCamelCase__  =     ctc_loss_reduction
     lowerCamelCase__  =     ctc_zero_infinity

     # adapter
     lowerCamelCase__  =     add_adapter
     lowerCamelCase__  =     adapter_kernel_size
     lowerCamelCase__  =     adapter_stride
     lowerCamelCase__  =     num_adapter_layers
     lowerCamelCase__  =     output_hidden_size or hidden_size

     # SequenceClassification-specific parameter. Feel free to ignore for other classes.
     lowerCamelCase__  =     classifier_proj_size

     # XVector-specific parameters. Feel free to ignore for other classes.
     lowerCamelCase__  =     list(__lowerCamelCase     )
     lowerCamelCase__  =     list(__lowerCamelCase     )
     lowerCamelCase__  =     list(__lowerCamelCase     )
     lowerCamelCase__  =     xvector_output_dim




    @property
    def    a__				(					self     :     Tuple     )							->							Union[str, Any]:

     '''simple docstring'''




     return math.prod(self.conv_stride     )









'''simple docstring'''





class 				lowercase       :


    '''simple docstring'''

    def __init__(					self     :     Union[str, Any]     )							->							None:

     '''simple docstring'''




     lowerCamelCase__  =     {}  # Mapping from char to TrieNode
     lowerCamelCase__  =     False

    def    a__				(					self     :     List[Any]				,     __lowerCamelCase     :     list[str]     )							->							None:

     '''simple docstring'''




     for word in words:
      self.insert(__lowerCamelCase     )

    def    a__				(					self     :     int				,     __lowerCamelCase     :     str     )							->							None:

     '''simple docstring'''




     lowerCamelCase__  =     self
     for char in word:
      if char not in curr.nodes:
       lowerCamelCase__  =     TrieNode()
      lowerCamelCase__  =     curr.nodes[char]
     lowerCamelCase__  =     True

    def    a__				(					self     :     Optional[Any]				,     __lowerCamelCase     :     str     )							->							bool:

     '''simple docstring'''




     lowerCamelCase__  =     self
     for char in word:
      if char not in curr.nodes:
       return False
      lowerCamelCase__  =     curr.nodes[char]
     return curr.is_leaf




    def    a__				(					self     :     Optional[Any]				,     __lowerCamelCase     :     str     )							->							None:

     '''simple docstring'''




     def _delete(__lowerCamelCase     :     TrieNode				,     __lowerCamelCase     :     str				,     __lowerCamelCase     :     int     ) -> bool:
      if index == len(__lowerCamelCase     ):
       # If word does not exist
       if not curr.is_leaf:
        return False
       lowerCamelCase__  =     False
       return len(curr.nodes     ) == 0
      lowerCamelCase__  =     word[index]
      lowerCamelCase__  =     curr.nodes.get(__lowerCamelCase     )
      # If char not in current trie node
      if not char_node:
       return False
      # Flag to check if node can be deleted
      lowerCamelCase__  =     _delete(__lowerCamelCase				,     __lowerCamelCase				,     index + 1     )
      if delete_curr:
       del curr.nodes[char]
       return len(curr.nodes     ) == 0
      return delete_curr

     _delete(self				,     __lowerCamelCase				,     0     )






def    lowerCamelCase_     (    lowercase__				,     lowercase__):
 if node.is_leaf:
  print(lowercase__				,     end=" ")

 for key, value in node.nodes.items():
  print_words(lowercase__				,     word + key)






def    lowerCamelCase_     (    ):
 lowerCamelCase__  =     "banana bananas bandana band apple all beast".split()
 lowerCamelCase__  =     TrieNode()
 root.insert_many(lowercase__)
 # print_words(root, "")
 assert all(root.find(lowercase__) for word in words)
 assert root.find("banana")
 assert not root.find("bandanas")
 assert not root.find("apps")
 assert root.find("apple")
 assert root.find("all")
 root.delete("all")
 assert not root.find("all")
 root.delete("banana")
 assert not root.find("banana")
 assert root.find("bananas")
 return True






def    lowerCamelCase_     (    lowercase__				,     lowercase__):
 print(str(lowercase__)				,     "works!" if passes else "doesn't work :(")






def    lowerCamelCase_     (    ):
 assert test_trie()






def    lowerCamelCase_     (    ):
 print_results("Testing trie functionality"				,     test_trie())


if __name__ == "__main__":
 main()

