


"""simple docstring"""



import os
from datetime import datetime as dt

from github import Github


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






def       lowerCamelCase					()     ->							int:
							lowercase		:int       							=				Github(os.environ['''GITHUB_TOKEN'''])
							lowercase		:List[Any]       							=				g.get_repo('''huggingface/diffusers''')
							lowercase		:List[str]       							=				repo.get_issues(state='''open''')

							for issue in open_issues:
														lowercase		:Any       							=				sorted(issue.get_comments()				,				key=lambda a_: i.created_at				,				reverse=a_)
														lowercase		:str       							=				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()





"""simple docstring"""



import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
 import jax
@require_flax
class 					__magic_name__		(			__UpperCAmelCase			,						unittest.TestCase     ):
       __A			:      str        =   FlaxAutoencoderKL






       @property
       def  __snake_case						(   self  :    List[str]				):

              '''simple docstring'''






              lowercase		:Dict       							=				4
              lowercase		:Optional[int]       							=				3
              lowercase		:Any       							=				(3_2, 3_2)

              lowercase		:Optional[int]       							=				jax.random.PRNGKey(0				)
              lowercase		:Any       							=				jax.random.uniform(snake_case__  ,     ((batch_size, num_channels) + sizes)				)

              return {"sample": image, "prng_key": prng_key}







       def  __snake_case						(   self  :    Union[str, Any]				):

              '''simple docstring'''






              lowercase		:List[Any]       							=				{
                  '''block_out_channels''': [3_2, 6_4],
                  '''in_channels''': 3,
                  '''out_channels''': 3,
                  '''down_block_types''': ['''DownEncoderBlock2D''', '''DownEncoderBlock2D'''],
                  '''up_block_types''': ['''UpDecoderBlock2D''', '''UpDecoderBlock2D'''],
                  '''latent_channels''': 4,
              }
              lowercase		:Optional[int]       							=				self.dummy_input
              return init_dict, inputs_dict

