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


_A  =	logging.get_logger(__name__)

_A  =	{
    "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       _lowerCAmelCase   (      __a			):
				_lowercase     						='''mctct'''




				def __init__(   self							,							_UpperCamelCase=8_065							,							_UpperCamelCase=1_536							,							_UpperCamelCase=36							,							_UpperCamelCase=6_144							,							_UpperCamelCase=4							,							_UpperCamelCase=384							,							_UpperCamelCase=920							,							_UpperCamelCase=1e-5							,							_UpperCamelCase=0.3							,							_UpperCamelCase="relu"							,							_UpperCamelCase=0.02							,							_UpperCamelCase=0.3							,							_UpperCamelCase=0.3							,							_UpperCamelCase=1							,							_UpperCamelCase=0							,							_UpperCamelCase=2							,							_UpperCamelCase=1							,							_UpperCamelCase=0.3							,							_UpperCamelCase=1							,							_UpperCamelCase=(7,)							,							_UpperCamelCase=(3,)							,							_UpperCamelCase=80							,							_UpperCamelCase=1							,							_UpperCamelCase=None							,							_UpperCamelCase="sum"							,							_UpperCamelCase=False							,							**_UpperCamelCase							,							)							-> str:
							super().__init__(**_UpperCamelCase							,							pad_token_id=_UpperCamelCase							,							bos_token_id=_UpperCamelCase							,							eos_token_id=_UpperCamelCase	)
							lowerCAmelCase_         =      vocab_size
							lowerCAmelCase_         =      hidden_size
							lowerCAmelCase_         =      num_hidden_layers
							lowerCAmelCase_         =      intermediate_size
							lowerCAmelCase_         =      num_attention_heads
							lowerCAmelCase_         =      attention_head_dim
							lowerCAmelCase_         =      max_position_embeddings
							lowerCAmelCase_         =      layer_norm_eps
							lowerCAmelCase_         =      layerdrop
							lowerCAmelCase_         =      hidden_act
							lowerCAmelCase_         =      initializer_range
							lowerCAmelCase_         =      hidden_dropout_prob
							lowerCAmelCase_         =      attention_probs_dropout_prob
							lowerCAmelCase_         =      pad_token_id
							lowerCAmelCase_         =      bos_token_id
							lowerCAmelCase_         =      eos_token_id
							lowerCAmelCase_         =      conv_glu_dim
							lowerCAmelCase_         =      conv_dropout
							lowerCAmelCase_         =      num_conv_layers
							lowerCAmelCase_         =      input_feat_per_channel
							lowerCAmelCase_         =      input_channels
							lowerCAmelCase_         =      conv_channels
							lowerCAmelCase_         =      ctc_loss_reduction
							lowerCAmelCase_         =      ctc_zero_infinity

							# prevents config testing fail with exporting to json
							lowerCAmelCase_         =      list(_UpperCamelCase	)
							lowerCAmelCase_         =      list(_UpperCamelCase	)

							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}`."""	)





from functools import reduce

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






def   lowerCamelCase__							(							__lowerCAmelCase    :    str = N							):




			"""simple docstring"""


			return max(
			    # mypy cannot properly interpret reduce
			    int(reduce(lambda __lowerCAmelCase       ,				__lowerCAmelCase							: str(int(__lowerCAmelCase							) * int(__lowerCAmelCase							)							)       ,				n[i : i + 13]							)							)
			    for i in range(len(__lowerCAmelCase							) - 12							)							)


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



