






import math

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


UpperCamelCase        =				logging.get_logger(__name__)

UpperCamelCase        =				{
    "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        lowerCAmelCase_				(      lowercase	):







				"""simple docstring"""




				_snake_case				:   str        =			"""data2vec-audio"""







				def __init__( self     :List[Any]  ,     lowerCamelCase__     :List[str]=32  ,     lowerCamelCase__     :Optional[Any]=7_68  ,     lowerCamelCase__     :int=12  ,     lowerCamelCase__     :List[Any]=12  ,     lowerCamelCase__     :List[str]=30_72  ,     lowerCamelCase__     :int="gelu"  ,     lowerCamelCase__     :Tuple=0.1  ,     lowerCamelCase__     :List[str]=0.1  ,     lowerCamelCase__     :Dict=0.1  ,     lowerCamelCase__     :Optional[Any]=0.0  ,     lowerCamelCase__     :Any=0.1  ,     lowerCamelCase__     :Optional[int]=0.1  ,     lowerCamelCase__     :Dict=0.02  ,     lowerCamelCase__     :List[str]=1e-5  ,     lowerCamelCase__     :Union[str, Any]="gelu"  ,     lowerCamelCase__     :Optional[Any]=(5_12, 5_12, 5_12, 5_12, 5_12, 5_12, 5_12)  ,     lowerCamelCase__     :int=(5, 2, 2, 2, 2, 2, 2)  ,     lowerCamelCase__     :Dict=(10, 3, 3, 3, 3, 2, 2)  ,     lowerCamelCase__     :List[Any]=False  ,     lowerCamelCase__     :List[Any]=16  ,     lowerCamelCase__     :Union[str, Any]=19  ,     lowerCamelCase__     :int=5  ,     lowerCamelCase__     :Dict=0.05  ,     lowerCamelCase__     :Union[str, Any]=10  ,     lowerCamelCase__     :Optional[int]=2  ,     lowerCamelCase__     :int=0.0  ,     lowerCamelCase__     :Dict=10  ,     lowerCamelCase__     :List[str]=0  ,     lowerCamelCase__     :Dict="sum"  ,     lowerCamelCase__     :Optional[int]=False  ,     lowerCamelCase__     :int=False  ,     lowerCamelCase__     :Dict=2_56  ,     lowerCamelCase__     :Any=(5_12, 5_12, 5_12, 5_12, 15_00)  ,     lowerCamelCase__     :int=(5, 3, 3, 1, 1)  ,     lowerCamelCase__     :Union[str, Any]=(1, 2, 3, 1, 1)  ,     lowerCamelCase__     :List[Any]=5_12  ,     lowerCamelCase__     :str=0  ,     lowerCamelCase__     :str=1  ,     lowerCamelCase__     :Optional[int]=2  ,     lowerCamelCase__     :Optional[Any]=False  ,     lowerCamelCase__     :Optional[Any]=3  ,     lowerCamelCase__     :List[str]=2  ,     lowerCamelCase__     :List[str]=3  ,     lowerCamelCase__     :List[str]=None  ,     **lowerCamelCase__     :Any  ,     ):
					super().__init__(**lowerCamelCase__  ,     pad_token_id=lowerCamelCase__  ,     bos_token_id=lowerCamelCase__  ,     eos_token_id=lowerCamelCase__     )
					UpperCamelCase__ :int						=      hidden_size
					UpperCamelCase__ :int						=      feat_extract_activation
					UpperCamelCase__ :str						=      list(lowerCamelCase__     )
					UpperCamelCase__ :Tuple						=      list(lowerCamelCase__     )
					UpperCamelCase__ :List[Any]						=      list(lowerCamelCase__     )
					UpperCamelCase__ :Union[str, Any]						=      conv_bias
					UpperCamelCase__ :Any						=      num_conv_pos_embeddings
					UpperCamelCase__ :Optional[Any]						=      num_conv_pos_embedding_groups
					UpperCamelCase__ :Optional[Any]						=      conv_pos_kernel_size
					UpperCamelCase__ :int						=      len(self.conv_dim     )
					UpperCamelCase__ :List[str]						=      num_hidden_layers
					UpperCamelCase__ :List[Any]						=      intermediate_size
					UpperCamelCase__ :Any						=      hidden_act
					UpperCamelCase__ :List[Any]						=      num_attention_heads
					UpperCamelCase__ :int						=      hidden_dropout
					UpperCamelCase__ :Dict						=      attention_dropout
					UpperCamelCase__ :Any						=      activation_dropout
					UpperCamelCase__ :int						=      feat_proj_dropout
					UpperCamelCase__ :List[Any]						=      final_dropout
					UpperCamelCase__ :List[Any]						=      layerdrop
					UpperCamelCase__ :List[Any]						=      layer_norm_eps
					UpperCamelCase__ :Any						=      initializer_range
					UpperCamelCase__ :Any						=      vocab_size
					UpperCamelCase__ :str						=      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
					UpperCamelCase__ :Tuple						=      mask_time_prob
					UpperCamelCase__ :Union[str, Any]						=      mask_time_length
					UpperCamelCase__ :Any						=      mask_time_min_masks
					UpperCamelCase__ :Tuple						=      mask_feature_prob
					UpperCamelCase__ :Optional[Any]						=      mask_feature_length
					UpperCamelCase__ :Tuple						=      mask_feature_min_masks

					# ctc loss
					UpperCamelCase__ :List[str]						=      ctc_loss_reduction
					UpperCamelCase__ :Optional[int]						=      ctc_zero_infinity

					# adapter
					UpperCamelCase__ :Optional[int]						=      add_adapter
					UpperCamelCase__ :List[str]						=      adapter_kernel_size
					UpperCamelCase__ :Dict						=      adapter_stride
					UpperCamelCase__ :Optional[Any]						=      num_adapter_layers
					UpperCamelCase__ :Union[str, Any]						=      output_hidden_size or hidden_size

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

					# XVector-specific parameters. Feel free to ignore for other classes.
					UpperCamelCase__ :List[str]						=      list(lowerCamelCase__     )
					UpperCamelCase__ :int						=      list(lowerCamelCase__     )
					UpperCamelCase__ :List[str]						=      list(lowerCamelCase__     )
					UpperCamelCase__ :Union[str, Any]						=      xvector_output_dim







				@property
				def 				__a   ( self     :Optional[Any]     ):
					return math.prod(self.conv_stride     )


'''simple docstring'''




def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : List[Any]							, SCREAMING_SNAKE_CASE   : Union[str, Any]    ):
  # "extended trapezoidal rule"
  # int(f) = dx/2 * (f1 + 2f2 + ... + fn)
  UpperCAmelCase    				=						(boundary[1] - boundary[0]) / steps
  UpperCAmelCase    				=						boundary[0]
  UpperCAmelCase    				=						boundary[1]
  UpperCAmelCase    				=						make_points(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE    )
  UpperCAmelCase    				=						0.0
  y += (h / 2.0) * f(SCREAMING_SNAKE_CASE    )
  for i in x_i:
    # print(i)
    y += h * f(SCREAMING_SNAKE_CASE    )
  y += (h / 2.0) * f(SCREAMING_SNAKE_CASE    )
  return y


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : Tuple							, SCREAMING_SNAKE_CASE   : Dict							, SCREAMING_SNAKE_CASE   : Tuple    ):
  UpperCAmelCase    				=						a + h
  while x < (b - h):
    yield x
    UpperCAmelCase    				=						x + h


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : Optional[Any]    ):  # enter your function here
  UpperCAmelCase    				=						(x - 0) * (x - 0)
  return y


def    lowerCamelCase__		(    ):
  UpperCAmelCase    				=						0.0  # Lower bound of integration
  UpperCAmelCase    				=						1.0  # Upper bound of integration
  UpperCAmelCase    				=						10.0  # define number of steps or resolution
  UpperCAmelCase    				=						[a, b]  # define boundary of integration
  UpperCAmelCase    				=						method_a(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE    )
  print(f'''y = {y}'''    )


if __name__ == "__main__":
  main()


