





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


lowercase_          =		logging.get_logger(__name__)

lowercase_          =		{
    """speechbrain/m-ctc-t-large""": """https://huggingface.co/speechbrain/m-ctc-t-large/resolve/main/config.json""",
    # See all M-CTC-T models at https://huggingface.co/models?filter=mctct
}
class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):
   _UpperCamelCase   :		Dict			 =	'mctct'


   def __init__(   self      :    Dict      ,					a      :    Any=8_065      ,					a      :    Optional[int]=1_536      ,					a      :    List[Any]=36      ,					a      :    List[str]=6_144      ,					a      :    Union[str, Any]=4      ,					a      :    List[str]=384      ,					a      :    str=920      ,					a      :    Optional[Any]=1E-5      ,					a      :    Tuple=0.3      ,					a      :    Optional[Any]="relu"      ,					a      :    Optional[int]=0.02      ,					a      :    Tuple=0.3      ,					a      :    int=0.3      ,					a      :    str=1      ,					a      :    Optional[int]=0      ,					a      :    Tuple=2      ,					a      :    Any=1      ,					a      :    List[str]=0.3      ,					a      :    Dict=1      ,					a      :    Union[str, Any]=(7,)      ,					a      :    str=(3,)      ,					a      :    Dict=80      ,					a      :    int=1      ,					a      :    Optional[Any]=None      ,					a      :    Optional[int]="sum"      ,					a      :    Any=False      ,					**a      :    Union[str, Any]      ,					)->       Union[str, Any]:





     """simple docstring"""







     super().__init__(**a      ,					pad_token_id=a      ,					bos_token_id=a      ,					eos_token_id=a	)
     lowercase__           =  vocab_size
     lowercase__           =  hidden_size
     lowercase__           =  num_hidden_layers
     lowercase__           =  intermediate_size
     lowercase__           =  num_attention_heads
     lowercase__           =  attention_head_dim
     lowercase__           =  max_position_embeddings
     lowercase__           =  layer_norm_eps
     lowercase__           =  layerdrop
     lowercase__           =  hidden_act
     lowercase__           =  initializer_range
     lowercase__           =  hidden_dropout_prob
     lowercase__           =  attention_probs_dropout_prob
     lowercase__           =  pad_token_id
     lowercase__           =  bos_token_id
     lowercase__           =  eos_token_id
     lowercase__           =  conv_glu_dim
     lowercase__           =  conv_dropout
     lowercase__           =  num_conv_layers
     lowercase__           =  input_feat_per_channel
     lowercase__           =  input_channels
     lowercase__           =  conv_channels
     lowercase__           =  ctc_loss_reduction
     lowercase__           =  ctc_zero_infinity

     # prevents config testing fail with exporting to json
     lowercase__           =  list(a	)
     lowercase__           =  list(a	)

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









import sys

lowercase_          =		(
    """73167176531330624919225119674426574742355349194934"""
    """96983520312774506326239578318016984801869478851843"""
    """85861560789112949495459501737958331952853208805511"""
    """12540698747158523863050715693290963295227443043557"""
    """66896648950445244523161731856403098711121722383113"""
    """62229893423380308135336276614282806444486645238749"""
    """30358907296290491560440772390713810515859307960866"""
    """70172427121883998797908792274921901699720888093776"""
    """65727333001053367881220235421809751254540594752243"""
    """52584907711670556013604839586446706324415722155397"""
    """53697817977846174064955149290862569321978468622482"""
    """83972241375657056057490261407972968652414535100474"""
    """82166370484403199890008895243450658541227588666881"""
    """16427171479924442928230863465674813919123162824586"""
    """17866458359124566529476545682848912883142607690042"""
    """24219022671055626321111109370544217506941658960408"""
    """07198403850962455444362981230987879927244284909188"""
    """84580156166097919133875499200524063689912560717606"""
    """05886116467109405077541002256983155200055935729725"""
    """71636269561882670428252483600823257530420752963450"""
)




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE = N		)    ->       int:
  lowercase__           =  -sys.maxsize - 1
  for i in range(len(_SCREAMING_SNAKE_CASE		) - 12		):
    lowercase__           =  1
    for j in range(13		):
      product *= int(n[i + j]		)
    if product > largest_product:
      lowercase__           =  product
  return largest_product


if __name__ == "__main__":
      print(f'''{solution() = }''')


