



import math

import flax.linen as nn
import jax.numpy as jnp
def 	_lowercase	(     UpperCAmelCase_						,   UpperCAmelCase_						,   UpperCAmelCase_ = 1						,   UpperCAmelCase_ = 1						,   UpperCAmelCase_ = 1.0e4						,   UpperCAmelCase_ = False						,   UpperCAmelCase_ = 1.0						,   ):




 """simple docstring"""




 assert timesteps.ndim == 1, "Timesteps should be a 1d-array"
 assert embedding_dim % 2 == 0, F'Embedding dimension {embedding_dim} should be even'
 snake_case__				:							List[str]      							= float(embedding_dim // 2)
 snake_case__				:							Union[str, Any]      							= math.log(max_timescale / min_timescale) / (num_timescales - freq_shift)
 snake_case__				:							Any      							= min_timescale * jnp.exp(jnp.arange(UpperCamelCase__						,   dtype=jnp.floataa) * -log_timescale_increment)
 snake_case__				:							Tuple      							= jnp.expand_dims(UpperCamelCase__						,   1) * jnp.expand_dims(UpperCamelCase__						,   0)

 # scale embeddings
 snake_case__				:							List[str]      							= scale * emb

 if flip_sin_to_cos:
  snake_case__				:							str      							= jnp.concatenate([jnp.cos(UpperCamelCase__), jnp.sin(UpperCamelCase__)]						,   axis=1)
 else:
  snake_case__				:							List[Any]      							= jnp.concatenate([jnp.sin(UpperCamelCase__), jnp.cos(UpperCamelCase__)]						,   axis=1)
 snake_case__				:							List[Any]      							= jnp.reshape(UpperCamelCase__						,   [jnp.shape(UpperCamelCase__)[0], embedding_dim])
 return signal



class 						lowercase__      (nn.Module						):

     """simple docstring"""






     __UpperCamelCase    :	List[str]		=       3_2
     __UpperCamelCase    :	List[Any]		=       jnp.floataa


     @nn.compact
     def __call__( self :	Union[str, Any]   ,			__a :	List[Any] ):
      snake_case__				:							Tuple      							= nn.Dense(self.time_embed_dim   ,			dtype=self.dtype   ,			name="""linear_1""" )(lowerCamelCase__ )
      snake_case__				:							Any      							= nn.silu(lowerCamelCase__ )
      snake_case__				:							int      							= nn.Dense(self.time_embed_dim   ,			dtype=self.dtype   ,			name="""linear_2""" )(lowerCamelCase__ )
      return temb



class 						lowercase__      (nn.Module						):

     """simple docstring"""






     __UpperCamelCase    :	Dict		=       3_2
     __UpperCamelCase    :	Dict		=       False
     __UpperCamelCase    :	Any		=       1


     @nn.compact
     def __call__( self :	Optional[Any]   ,			__a :	int ):
      return get_sinusoidal_embeddings(
          lowerCamelCase__   ,			embedding_dim=self.dim   ,			flip_sin_to_cos=self.flip_sin_to_cos   ,			freq_shift=self.freq_shift )










from datetime import datetime as dt
import os

from github import Github


__A								=       [
    "good first issue",
    "good second issue",
    "good difficult issue",
    "feature request",
    "new model",
    "wip",
]







def      lowerCamelCase_						(			)	->			int:





				"""simple docstring"""


				__lowerCamelCase									=       Github(os.environ['GITHUB_TOKEN'] )
				__lowerCamelCase									=       g.get_repo('huggingface/transformers' )
				__lowerCamelCase									=       repo.get_issues(state='open' )

				for issue in open_issues:
								__lowerCamelCase									=       sorted([comment for comment in issue.get_comments()]					,	key=lambda UpperCamelCase__ : i.created_at					,	reverse=UpperCamelCase__ )
								__lowerCamelCase									=       comments[0] if len(UpperCamelCase__ ) > 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() )
								):
												# print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
												issue.edit(state='closed' )
								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() )
								):
												# print(f"Would add stale comment to {issue.number}")
												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/transformers/blob/main/CONTRIBUTING.md) '
												    'are likely to be ignored.' )


if __name__ == "__main__":
					main()


