'''simple docstring'''

import math

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


UpperCamelCase__  :						int					=      logging.get_logger(__name__)

UpperCamelCase__  :						Dict					=      {
    '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 					_lowercase						(   lowerCAmelCase ):
      '''simple docstring'''


      UpperCAmelCase_   :   str   				= '''data2vec-audio'''




      def __init__(					self       ,lowerCamelCase_=32       ,lowerCamelCase_=768       ,lowerCamelCase_=12       ,lowerCamelCase_=12       ,lowerCamelCase_=3072       ,lowerCamelCase_="gelu"       ,lowerCamelCase_=0.1       ,lowerCamelCase_=0.1       ,lowerCamelCase_=0.1       ,lowerCamelCase_=0.0       ,lowerCamelCase_=0.1       ,lowerCamelCase_=0.1       ,lowerCamelCase_=0.02       ,lowerCamelCase_=1e-5       ,lowerCamelCase_="gelu"       ,lowerCamelCase_=(512, 512, 512, 512, 512, 512, 512)       ,lowerCamelCase_=(5, 2, 2, 2, 2, 2, 2)       ,lowerCamelCase_=(10, 3, 3, 3, 3, 2, 2)       ,lowerCamelCase_=False       ,lowerCamelCase_=16       ,lowerCamelCase_=19       ,lowerCamelCase_=5       ,lowerCamelCase_=0.05       ,lowerCamelCase_=10       ,lowerCamelCase_=2       ,lowerCamelCase_=0.0       ,lowerCamelCase_=10       ,lowerCamelCase_=0       ,lowerCamelCase_="sum"       ,lowerCamelCase_=False       ,lowerCamelCase_=False       ,lowerCamelCase_=256       ,lowerCamelCase_=(512, 512, 512, 512, 1500)       ,lowerCamelCase_=(5, 3, 3, 1, 1)       ,lowerCamelCase_=(1, 2, 3, 1, 1)       ,lowerCamelCase_=512       ,lowerCamelCase_=0       ,lowerCamelCase_=1       ,lowerCamelCase_=2       ,lowerCamelCase_=False       ,lowerCamelCase_=3       ,lowerCamelCase_=2       ,lowerCamelCase_=3       ,lowerCamelCase_=None       ,**lowerCamelCase_       ,)      ->      List[str]:



         '''simple docstring'''



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

         # ctc loss
         UpperCAmelCase__				:					List[Any] 					=	ctc_loss_reduction
         UpperCAmelCase__				:					Union[str, Any] 					=	ctc_zero_infinity

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

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

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




      @property
      def 		lowerCAmelCase__       (					self				)      ->      str:



         '''simple docstring'''



         return math.prod(self.conv_stride				)





'''simple docstring'''

import os
from datetime import datetime as dt

from github import Github


UpperCamelCase__  :						str					=      [
    'good first issue',
    'good second issue',
    'good difficult issue',
    'enhancement',
    'new pipeline/model',
    'new scheduler',
    'wip',
]







def __UpperCamelCase( ):
   '''simple docstring'''
   UpperCAmelCase__				:					str 					=	Github(os.environ['''GITHUB_TOKEN''']     )
   UpperCAmelCase__				:					Union[str, Any] 					=	g.get_repo('''huggingface/diffusers'''     )
   UpperCAmelCase__				:					Union[str, Any] 					=	repo.get_issues(state='''open'''     )

   for issue in open_issues:
      UpperCAmelCase__				:					int 					=	sorted(issue.get_comments()	,      key=lambda _A     : i.created_at	,      reverse=_A     )
      UpperCAmelCase__				:					int 					=	comments[0] if len(_A     ) > 0 else None
      if (
          last_comment is not None
          and last_comment.user.login == "github-actions[bot]"
          and (dt.utcnow() - issue.updated_at).days > 7
          and (dt.utcnow() - issue.created_at).days >= 30
          and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()     )
      ):
         # Closes the issue after 7 days of inactivity since the Stalebot notification.
         issue.edit(state='''closed'''     )
      elif (
          "stale" in issue.get_labels()
          and last_comment is not None
          and last_comment.user.login != "github-actions[bot]"
      ):
         # Opens the issue if someone other than Stalebot commented.
         issue.edit(state='''open'''     )
         issue.remove_from_labels('''stale'''     )
      elif (
          (dt.utcnow() - issue.updated_at).days > 23
          and (dt.utcnow() - issue.created_at).days >= 30
          and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()     )
      ):
         # Post a Stalebot notification after 23 days of inactivity.
         issue.create_comment(
             '''This issue has been automatically marked as stale because it has not had '''
             '''recent activity. If you think this still needs to be addressed '''
             '''please comment on this thread.\n\nPlease note that issues that do not follow the '''
             '''[contributing guidelines](https://github.com/huggingface/diffusers/blob/main/CONTRIBUTING.md) '''
             '''are likely to be ignored.'''     )
         issue.add_to_labels('''stale'''     )


if __name__ == "__main__":
  main()




