





'''simple docstring'''






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 		lowerCamelCase	(   _A							):
	snake_case_   = '''wavlm'''



	def __init__( self		,   a_=32		,   a_=768		,   a_=12		,   a_=12		,   a_=3_072		,   a_="gelu"		,   a_=0.1		,   a_=0.1		,   a_=0.1		,   a_=0.0		,   a_=0.1		,   a_=0.1		,   a_=0.02		,   a_=1e-5		,   a_="group"		,   a_="gelu"		,   a_=(512, 512, 512, 512, 512, 512, 512)		,   a_=(5, 2, 2, 2, 2, 2, 2)		,   a_=(10, 3, 3, 3, 3, 2, 2)		,   a_=False		,   a_=128		,   a_=16		,   a_=320		,   a_=800		,   a_=False		,   a_=True		,   a_=0.05		,   a_=10		,   a_=2		,   a_=0.0		,   a_=10		,   a_=320		,   a_=2		,   a_=0.1		,   a_=100		,   a_=256		,   a_=256		,   a_=0.1		,   a_="mean"		,   a_=False		,   a_=False		,   a_=256		,   a_=(512, 512, 512, 512, 1_500)		,   a_=(5, 3, 3, 1, 1)		,   a_=(1, 2, 3, 1, 1)		,   a_=512		,   a_=80		,   a_=0		,   a_=1		,   a_=2		,   a_=False		,   a_=3		,   a_=2		,   a_=3		,   a_=None		,   **a_		,   ):
			super().__init__(**lowerCamelCase_		,   pad_token_id=lowerCamelCase_		,   bos_token_id=lowerCamelCase_		,   eos_token_id=lowerCamelCase_						)
			lowerCAmelCase  :     Tuple       						= hidden_size
			lowerCAmelCase  :     Any       						= feat_extract_norm
			lowerCAmelCase  :     Union[str, Any]       						= feat_extract_activation
			lowerCAmelCase  :     Any       						= list(lowerCamelCase_						)
			lowerCAmelCase  :     Tuple       						= list(lowerCamelCase_						)
			lowerCAmelCase  :     int       						= list(lowerCamelCase_						)
			lowerCAmelCase  :     List[str]       						= conv_bias
			lowerCAmelCase  :     Optional[Any]       						= num_buckets
			lowerCAmelCase  :     Any       						= max_bucket_distance
			lowerCAmelCase  :     Union[str, Any]       						= num_conv_pos_embeddings
			lowerCAmelCase  :     List[Any]       						= num_conv_pos_embedding_groups
			lowerCAmelCase  :     List[Any]       						= len(self.conv_dim						)
			lowerCAmelCase  :     str       						= num_hidden_layers
			lowerCAmelCase  :     Any       						= intermediate_size
			lowerCAmelCase  :     Optional[Any]       						= hidden_act
			lowerCAmelCase  :     List[Any]       						= num_attention_heads
			lowerCAmelCase  :     Optional[Any]       						= hidden_dropout
			lowerCAmelCase  :     Union[str, Any]       						= attention_dropout
			lowerCAmelCase  :     Dict       						= activation_dropout
			lowerCAmelCase  :     Union[str, Any]       						= feat_proj_dropout
			lowerCAmelCase  :     List[Any]       						= final_dropout
			lowerCAmelCase  :     Tuple       						= layerdrop
			lowerCAmelCase  :     Any       						= layer_norm_eps
			lowerCAmelCase  :     Optional[int]       						= initializer_range
			lowerCAmelCase  :     Optional[int]       						= num_ctc_classes
			lowerCAmelCase  :     Union[str, Any]       						= vocab_size
			lowerCAmelCase  :     Union[str, Any]       						= do_stable_layer_norm
			lowerCAmelCase  :     Union[str, Any]       						= use_weighted_layer_sum
			lowerCAmelCase  :     Union[str, Any]       						= 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
			lowerCAmelCase  :     Optional[Any]       						= apply_spec_augment
			lowerCAmelCase  :     List[str]       						= mask_time_prob
			lowerCAmelCase  :     int       						= mask_time_length
			lowerCAmelCase  :     List[Any]       						= mask_time_min_masks
			lowerCAmelCase  :     Optional[int]       						= mask_feature_prob
			lowerCAmelCase  :     List[Any]       						= mask_feature_length

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

			# ctc loss
			lowerCAmelCase  :     List[Any]       						= ctc_loss_reduction
			lowerCAmelCase  :     Tuple       						= ctc_zero_infinity

			# adapter
			lowerCAmelCase  :     List[Any]       						= add_adapter
			lowerCAmelCase  :     Dict       						= adapter_kernel_size
			lowerCAmelCase  :     Optional[int]       						= adapter_stride
			lowerCAmelCase  :     Dict       						= num_adapter_layers
			lowerCAmelCase  :     int       						= output_hidden_size or hidden_size

			# SequenceClassification-specific parameter. Feel free to ignore for other classes.
			lowerCAmelCase  :     Optional[int]       						= classifier_proj_size

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





	@property
	def 	_lowerCamelCase     ( self						):
			return functools.reduce(operator.mul		,   self.conv_stride		,   1						)




'''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()




