





'''simple docstring'''


import math

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


lowerCAmelCase					:     Tuple												=logging.get_logger(__name__)

lowerCAmelCase					:     List[Any]												={
    '''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       a_   (				_lowerCAmelCase							):
     __A      =			"data2vec-audio"





     def __init__( self		:					Tuple	,      lowercase		:					Any=32	,      lowercase		:					List[Any]=768	,      lowercase		:					Tuple=12	,      lowercase		:					Tuple=12	,      lowercase		:					List[str]=3_072	,      lowercase		:					List[str]="gelu"	,      lowercase		:					int=0.1	,      lowercase		:					List[str]=0.1	,      lowercase		:					Any=0.1	,      lowercase		:					List[Any]=0.0	,      lowercase		:					Any=0.1	,      lowercase		:					Dict=0.1	,      lowercase		:					int=0.02	,      lowercase		:					Optional[Any]=1e-5	,      lowercase		:					Any="gelu"	,      lowercase		:					Union[str, Any]=(512, 512, 512, 512, 512, 512, 512)	,      lowercase		:					Optional[Any]=(5, 2, 2, 2, 2, 2, 2)	,      lowercase		:					str=(10, 3, 3, 3, 3, 2, 2)	,      lowercase		:					Tuple=False	,      lowercase		:					Optional[Any]=16	,      lowercase		:					Any=19	,      lowercase		:					Dict=5	,      lowercase		:					int=0.05	,      lowercase		:					Optional[int]=10	,      lowercase		:					Optional[Any]=2	,      lowercase		:					Dict=0.0	,      lowercase		:					Union[str, Any]=10	,      lowercase		:					Union[str, Any]=0	,      lowercase		:					int="sum"	,      lowercase		:					List[str]=False	,      lowercase		:					Tuple=False	,      lowercase		:					List[Any]=256	,      lowercase		:					str=(512, 512, 512, 512, 1_500)	,      lowercase		:					Tuple=(5, 3, 3, 1, 1)	,      lowercase		:					Tuple=(1, 2, 3, 1, 1)	,      lowercase		:					List[Any]=512	,      lowercase		:					Any=0	,      lowercase		:					Optional[Any]=1	,      lowercase		:					List[Any]=2	,      lowercase		:					List[str]=False	,      lowercase		:					Dict=3	,      lowercase		:					str=2	,      lowercase		:					str=3	,      lowercase		:					Tuple=None	,      **lowercase		:					int	,      ):





        """simple docstring"""




        super().__init__(**lowercase	,      pad_token_id=lowercase	,      bos_token_id=lowercase	,      eos_token_id=lowercase						)
        lowercase_			:Optional[int]    			= hidden_size
        lowercase_			:Union[str, Any]    			= feat_extract_activation
        lowercase_			:int    			= list(lowercase						)
        lowercase_			:int    			= list(lowercase						)
        lowercase_			:Tuple    			= list(lowercase						)
        lowercase_			:List[Any]    			= conv_bias
        lowercase_			:Dict    			= num_conv_pos_embeddings
        lowercase_			:Tuple    			= num_conv_pos_embedding_groups
        lowercase_			:Tuple    			= conv_pos_kernel_size
        lowercase_			:List[Any]    			= len(self.conv_dim						)
        lowercase_			:Dict    			= num_hidden_layers
        lowercase_			:Union[str, Any]    			= intermediate_size
        lowercase_			:List[str]    			= hidden_act
        lowercase_			:List[str]    			= num_attention_heads
        lowercase_			:Optional[int]    			= hidden_dropout
        lowercase_			:int    			= attention_dropout
        lowercase_			:Any    			= activation_dropout
        lowercase_			:Dict    			= feat_proj_dropout
        lowercase_			:Optional[int]    			= final_dropout
        lowercase_			:Dict    			= layerdrop
        lowercase_			:Optional[int]    			= layer_norm_eps
        lowercase_			:str    			= initializer_range
        lowercase_			:Dict    			= vocab_size
        lowercase_			:int    			= 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
        lowercase_			:Any    			= mask_time_prob
        lowercase_			:Union[str, Any]    			= mask_time_length
        lowercase_			:str    			= mask_time_min_masks
        lowercase_			:List[str]    			= mask_feature_prob
        lowercase_			:int    			= mask_feature_length
        lowercase_			:List[Any]    			= mask_feature_min_masks

        # ctc loss
        lowercase_			:Tuple    			= ctc_loss_reduction
        lowercase_			:Dict    			= ctc_zero_infinity

        # adapter
        lowercase_			:Tuple    			= add_adapter
        lowercase_			:Optional[int]    			= adapter_kernel_size
        lowercase_			:List[Any]    			= adapter_stride
        lowercase_			:List[str]    			= num_adapter_layers
        lowercase_			:List[str]    			= output_hidden_size or hidden_size

        # SequenceClassification-specific parameter. Feel free to ignore for other classes.
        lowercase_			:List[Any]    			= classifier_proj_size

        # XVector-specific parameters. Feel free to ignore for other classes.
        lowercase_			:str    			= list(lowercase						)
        lowercase_			:Any    			= list(lowercase						)
        lowercase_			:str    			= list(lowercase						)
        lowercase_			:Optional[Any]    			= xvector_output_dim







     @property
     def 							lowercase__      ( self		:					List[Any]						):





        """simple docstring"""




        return math.prod(self.conv_stride						)









'''simple docstring'''


lowerCAmelCase					:     Optional[int]												=256
# Modulus to hash a string
lowerCAmelCase					:     Tuple												=1_000_003
def 							UpperCAmelCase_  (						__lowerCamelCase					:					str	,__lowerCamelCase					:					str ):
   lowercase_			:Dict    			= len(__lowerCamelCase )
   lowercase_			:int    			= len(__lowerCamelCase )
   if p_len > t_len:
      return False

   lowercase_			:Any    			= 0
   lowercase_			:Dict    			= 0
   lowercase_			:int    			= 1

   # Calculating the hash of pattern and substring of text
   for i in range(__lowerCamelCase ):
      lowercase_			:Union[str, Any]    			= (ord(pattern[i] ) + p_hash * alphabet_size) % modulus
      lowercase_			:Tuple    			= (ord(text[i] ) + text_hash * alphabet_size) % modulus
      if i == p_len - 1:
         continue
      lowercase_			:Tuple    			= (modulus_power * alphabet_size) % modulus

   for i in range(0	,t_len - p_len + 1 ):
      if text_hash == p_hash and text[i : i + p_len] == pattern:
         return True
      if i == t_len - p_len:
         continue
      # Calculate the https://en.wikipedia.org/wiki/Rolling_hash
      lowercase_			:Tuple    			= (
          (text_hash - ord(text[i] ) * modulus_power) * alphabet_size
          + ord(text[i + p_len] )
      ) % modulus
   return False
def 							UpperCAmelCase_  (						):
   lowercase_			:List[Any]    			= "abc1abc12"
   lowercase_			:List[str]    			= "alskfjaldsabc1abc1abc12k23adsfabcabc"
   lowercase_			:int    			= "alskfjaldsk23adsfabcabc"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase ) and not rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 2)
   lowercase_			:Union[str, Any]    			= "ABABX"
   lowercase_			:Optional[Any]    			= "ABABZABABYABABX"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 3)
   lowercase_			:Dict    			= "AAAB"
   lowercase_			:int    			= "ABAAAAAB"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 4)
   lowercase_			:Tuple    			= "abcdabcy"
   lowercase_			:Union[str, Any]    			= "abcxabcdabxabcdabcdabcy"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )

   # Test 5)
   lowercase_			:Tuple    			= "Lü"
   lowercase_			:List[Any]    			= "Lüsai"
   assert rabin_karp(__lowerCamelCase	,__lowerCamelCase )
   lowercase_			:str    			= "Lue"
   assert not rabin_karp(__lowerCamelCase	,__lowerCamelCase )
   print("Success." )


if __name__ == "__main__":
 test_rabin_karp()


