


import functools
import operator

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


__lowerCamelCase        =     logging.get_logger(__name__)

__lowerCamelCase        =     {
    '''microsoft/wavlm-base''': '''https://huggingface.co/microsoft/wavlm-base/resolve/main/config.json''',
    # See all WavLM models at https://huggingface.co/models?filter=wavlm
}


class   a__	(						lowerCAmelCase_    ):
       lowerCamelCase__:     Union[str, Any]							    =     """wavlm"""

       def __init__(   self      :     Optional[int]      ,							lowerCamelCase_      :     int=3_2      ,							lowerCamelCase_      :     int=7_6_8      ,							lowerCamelCase_      :     Optional[int]=1_2      ,							lowerCamelCase_      :     List[str]=1_2      ,							lowerCamelCase_      :     Any=3_0_7_2      ,							lowerCamelCase_      :     List[Any]="gelu"      ,							lowerCamelCase_      :     Tuple=0.1      ,							lowerCamelCase_      :     Optional[Any]=0.1      ,							lowerCamelCase_      :     str=0.1      ,							lowerCamelCase_      :     Union[str, Any]=0.0      ,							lowerCamelCase_      :     Any=0.1      ,							lowerCamelCase_      :     Union[str, Any]=0.1      ,							lowerCamelCase_      :     str=0.0_2      ,							lowerCamelCase_      :     Dict=1E-5      ,							lowerCamelCase_      :     Tuple="group"      ,							lowerCamelCase_      :     Any="gelu"      ,							lowerCamelCase_      :     Any=(5_1_2, 5_1_2, 5_1_2, 5_1_2, 5_1_2, 5_1_2, 5_1_2)      ,							lowerCamelCase_      :     Any=(5, 2, 2, 2, 2, 2, 2)      ,							lowerCamelCase_      :     Tuple=(1_0, 3, 3, 3, 3, 2, 2)      ,							lowerCamelCase_      :     Tuple=False      ,							lowerCamelCase_      :     Optional[Any]=1_2_8      ,							lowerCamelCase_      :     str=1_6      ,							lowerCamelCase_      :     List[str]=3_2_0      ,							lowerCamelCase_      :     List[str]=8_0_0      ,							lowerCamelCase_      :     Any=False      ,							lowerCamelCase_      :     Optional[Any]=True      ,							lowerCamelCase_      :     int=0.0_5      ,							lowerCamelCase_      :     Optional[int]=1_0      ,							lowerCamelCase_      :     Any=2      ,							lowerCamelCase_      :     List[str]=0.0      ,							lowerCamelCase_      :     List[str]=1_0      ,							lowerCamelCase_      :     Union[str, Any]=3_2_0      ,							lowerCamelCase_      :     List[Any]=2      ,							lowerCamelCase_      :     Optional[int]=0.1      ,							lowerCamelCase_      :     Union[str, Any]=1_0_0      ,							lowerCamelCase_      :     Optional[Any]=2_5_6      ,							lowerCamelCase_      :     str=2_5_6      ,							lowerCamelCase_      :     Optional[int]=0.1      ,							lowerCamelCase_      :     Any="mean"      ,							lowerCamelCase_      :     str=False      ,							lowerCamelCase_      :     Tuple=False      ,							lowerCamelCase_      :     List[str]=2_5_6      ,							lowerCamelCase_      :     Any=(5_1_2, 5_1_2, 5_1_2, 5_1_2, 1_5_0_0)      ,							lowerCamelCase_      :     Optional[Any]=(5, 3, 3, 1, 1)      ,							lowerCamelCase_      :     List[Any]=(1, 2, 3, 1, 1)      ,							lowerCamelCase_      :     int=5_1_2      ,							lowerCamelCase_      :     Dict=8_0      ,							lowerCamelCase_      :     List[Any]=0      ,							lowerCamelCase_      :     str=1      ,							lowerCamelCase_      :     Any=2      ,							lowerCamelCase_      :     Dict=False      ,							lowerCamelCase_      :     Optional[Any]=3      ,							lowerCamelCase_      :     List[Any]=2      ,							lowerCamelCase_      :     List[str]=3      ,							lowerCamelCase_      :     Optional[int]=None      ,							**lowerCamelCase_      :     int      ,							):
            super().__init__(**lowerCamelCase_      ,							pad_token_id=lowerCamelCase_      ,							bos_token_id=lowerCamelCase_      ,							eos_token_id=lowerCamelCase_    )
            a_    :     Union[str, Any]										=    hidden_size
            a_    :     Optional[Any]										=    feat_extract_norm
            a_    :     str										=    feat_extract_activation
            a_    :     Union[str, Any]										=    list(lowerCamelCase_    )
            a_    :     int										=    list(lowerCamelCase_    )
            a_    :     Union[str, Any]										=    list(lowerCamelCase_    )
            a_    :     Dict										=    conv_bias
            a_    :     int										=    num_buckets
            a_    :     Optional[int]										=    max_bucket_distance
            a_    :     List[str]										=    num_conv_pos_embeddings
            a_    :     Optional[Any]										=    num_conv_pos_embedding_groups
            a_    :     int										=    len(self.conv_dim    )
            a_    :     Any										=    num_hidden_layers
            a_    :     Union[str, Any]										=    intermediate_size
            a_    :     Any										=    hidden_act
            a_    :     Dict										=    num_attention_heads
            a_    :     Optional[int]										=    hidden_dropout
            a_    :     Tuple										=    attention_dropout
            a_    :     Optional[Any]										=    activation_dropout
            a_    :     Dict										=    feat_proj_dropout
            a_    :     Tuple										=    final_dropout
            a_    :     Optional[Any]										=    layerdrop
            a_    :     List[str]										=    layer_norm_eps
            a_    :     Dict										=    initializer_range
            a_    :     Dict										=    num_ctc_classes
            a_    :     int										=    vocab_size
            a_    :     Optional[int]										=    do_stable_layer_norm
            a_    :     str										=    use_weighted_layer_sum
            a_    :     Dict										=    classifier_proj_size

            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
            a_    :     List[Any]										=    apply_spec_augment
            a_    :     Any										=    mask_time_prob
            a_    :     Tuple										=    mask_time_length
            a_    :     Tuple										=    mask_time_min_masks
            a_    :     int										=    mask_feature_prob
            a_    :     List[str]										=    mask_feature_length

            # parameters for pretraining with codevector quantized representations
            a_    :     Tuple										=    num_codevectors_per_group
            a_    :     Any										=    num_codevector_groups
            a_    :     Dict										=    contrastive_logits_temperature
            a_    :     Optional[int]										=    num_negatives
            a_    :     List[Any]										=    codevector_dim
            a_    :     Union[str, Any]										=    proj_codevector_dim
            a_    :     Dict										=    diversity_loss_weight

            # ctc loss
            a_    :     Optional[Any]										=    ctc_loss_reduction
            a_    :     Tuple										=    ctc_zero_infinity

            # adapter
            a_    :     Union[str, Any]										=    add_adapter
            a_    :     List[Any]										=    adapter_kernel_size
            a_    :     List[str]										=    adapter_stride
            a_    :     Union[str, Any]										=    num_adapter_layers
            a_    :     Tuple										=    output_hidden_size or hidden_size

            # SequenceClassification-specific parameter. Feel free to ignore for other classes.
            a_    :     str										=    classifier_proj_size

            # XVector-specific parameters. Feel free to ignore for other classes.
            a_    :     List[str]										=    list(lowerCamelCase_    )
            a_    :     Any										=    list(lowerCamelCase_    )
            a_    :     List[Any]										=    list(lowerCamelCase_    )
            a_    :     Dict										=    xvector_output_dim

       @property
       def 						UpperCAmelCase(   self      :     Union[str, Any]    ):
            return functools.reduce(operator.mul      ,							self.conv_stride      ,							1    )







from __future__ import annotations

from fractions import Fraction
from math import gcd, sqrt



def  _a			(						__UpperCamelCase ):
     a_    :     int										=    int(number**0.5 )
     return number == sq * sq



def  _a			(						__UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase ):
     a_    :     int										=    x_num * y_den * z_den + y_num * x_den * z_den + z_num * x_den * y_den
     a_    :     int										=    x_den * y_den * z_den
     a_    :     int										=    gcd(__UpperCamelCase  ,  __UpperCamelCase )
     top //= hcf
     bottom //= hcf
     return top, bottom



def  _a			(						__UpperCamelCase = 3_5 ):
     a_    :     set										=    set()
     a_    :     int
     a_    :     Fraction										=    Fraction(0 )
     a_    :     tuple[int, int]

     for x_num in range(1  ,  order + 1 ):
          for x_den in range(x_num + 1  ,  order + 1 ):
               for y_num in range(1  ,  order + 1 ):
                    for y_den in range(y_num + 1  ,  order + 1 ):
                         # n=1
                         a_    :     int										=    x_num * y_den + x_den * y_num
                         a_    :     Optional[int]										=    x_den * y_den
                         a_    :     Optional[Any]										=    gcd(__UpperCamelCase  ,  __UpperCamelCase )
                         z_num //= hcf
                         z_den //= hcf
                         if 0 < z_num < z_den <= order:
                              a_    :     Optional[int]										=    add_three(
                                  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase )
                              unique_s.add(__UpperCamelCase )

                         # n=2
                         a_    :     List[Any]										=    (
                             x_num * x_num * y_den * y_den + x_den * x_den * y_num * y_num
                         )
                         a_    :     str										=    x_den * x_den * y_den * y_den
                         if is_sq(__UpperCamelCase ) and is_sq(__UpperCamelCase ):
                              a_    :     Optional[Any]										=    int(sqrt(__UpperCamelCase ) )
                              a_    :     Optional[int]										=    int(sqrt(__UpperCamelCase ) )
                              a_    :     Optional[Any]										=    gcd(__UpperCamelCase  ,  __UpperCamelCase )
                              z_num //= hcf
                              z_den //= hcf
                              if 0 < z_num < z_den <= order:
                                   a_    :     str										=    add_three(
                                       __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase )
                                   unique_s.add(__UpperCamelCase )

                    # n=-1
                         a_    :     Union[str, Any]										=    x_num * y_num
                         a_    :     Tuple										=    x_den * y_num + x_num * y_den
                         a_    :     List[Any]										=    gcd(__UpperCamelCase  ,  __UpperCamelCase )
                         z_num //= hcf
                         z_den //= hcf
                         if 0 < z_num < z_den <= order:
                              a_    :     Union[str, Any]										=    add_three(
                                  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase )
                              unique_s.add(__UpperCamelCase )

                         # n=2
                         a_    :     Union[str, Any]										=    x_num * x_num * y_num * y_num
                         a_    :     Dict										=    (
                             x_den * x_den * y_num * y_num + x_num * x_num * y_den * y_den
                         )
                         if is_sq(__UpperCamelCase ) and is_sq(__UpperCamelCase ):
                              a_    :     Dict										=    int(sqrt(__UpperCamelCase ) )
                              a_    :     Union[str, Any]										=    int(sqrt(__UpperCamelCase ) )
                              a_    :     Dict										=    gcd(__UpperCamelCase  ,  __UpperCamelCase )
                              z_num //= hcf
                              z_den //= hcf
                              if 0 < z_num < z_den <= order:
                                   a_    :     List[Any]										=    add_three(
                                       __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase  ,  __UpperCamelCase )
                                   unique_s.add(__UpperCamelCase )

     for num, den in unique_s:
          total += Fraction(__UpperCamelCase  ,  __UpperCamelCase )

     return total.denominator + total.numerator


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



