


import inspect
import os
import unittest

import torch

import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class 		__magic_name__						(unittest.TestCase				):





     '''simple docstring'''



     def 	SCREAMING_SNAKE_CASE__						(					self:List[Any]   ):
       snake_case__						= inspect.getfile(accelerate.test_utils   )
       snake_case__						= os.path.sep.join(mod_file.split(os.path.sep   )[:-1] + ['''scripts''', '''test_script.py''']   )
       snake_case__						= os.path.sep.join(
           mod_file.split(os.path.sep   )[:-1] + ['''scripts''', '''test_distributed_data_loop.py''']   )
       snake_case__						= os.path.sep.join(mod_file.split(os.path.sep   )[:-1] + ['''scripts''', '''test_ops.py''']   )

     @require_multi_gpu
     def 	SCREAMING_SNAKE_CASE__						(					self:List[Any]   ):
       print(F"""Found {torch.cuda.device_count()} devices."""   )
       snake_case__						= ['''torchrun''', F"""--nproc_per_node={torch.cuda.device_count()}""", self.test_file_path]
       with patch_environment(omp_num_threads=1   ):
         execute_subprocess_async(_a     ,		env=os.environ.copy()   )

     @require_multi_gpu
     def 	SCREAMING_SNAKE_CASE__						(					self:Union[str, Any]   ):
       print(F"""Found {torch.cuda.device_count()} devices."""   )
       snake_case__						= ['''torchrun''', F"""--nproc_per_node={torch.cuda.device_count()}""", self.operation_file_path]
       print(F"""Command: {cmd}"""   )
       with patch_environment(omp_num_threads=1   ):
         execute_subprocess_async(_a     ,		env=os.environ.copy()   )

     @require_multi_gpu
     def 	SCREAMING_SNAKE_CASE__						(					self:List[Any]   ):
       snake_case__						= ['''torchrun''', F"""--nproc_per_node={torch.cuda.device_count()}""", inspect.getfile(self.__class__   )]
       with patch_environment(omp_num_threads=1   ):
         execute_subprocess_async(_a     ,		env=os.environ.copy()   )







     @require_multi_gpu
     def 	SCREAMING_SNAKE_CASE__						(					self:Tuple   ):
       print(F"""Found {torch.cuda.device_count()} devices, using 2 devices only"""   )
       snake_case__						= ['''torchrun''', F"""--nproc_per_node={torch.cuda.device_count()}""", self.data_loop_file_path]
       with patch_environment(omp_num_threads=1     ,		cuda_visible_devices='''0,1'''   ):
         execute_subprocess_async(_a     ,		env=os.environ.copy()   )


if __name__ == "__main__":
   lowerCamelCase__							:						Optional[int]							     =   Accelerator()
   lowerCamelCase__							:						Union[str, Any]							     =   (accelerator.state.process_index + 2, 1_0)
   lowerCamelCase__							:						List[str]							     =   torch.randint(0, 1_0, shape).to(accelerator.device)

   lowerCamelCase__							:						Union[str, Any]							     =   """"""

   lowerCamelCase__							:						str							     =   accelerator.pad_across_processes(tensor)
   if tensora.shape[0] != accelerator.state.num_processes + 1:
      error_msg += F"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
   if not torch.equal(tensora[: accelerator.state.process_index + 2], tensor):
      error_msg += "Tensors have different values."
   if not torch.all(tensora[accelerator.state.process_index + 2 :] == 0):
      error_msg += "Padding was not done with the right value (0)."

   lowerCamelCase__							:						Optional[int]							     =   accelerator.pad_across_processes(tensor, pad_first=True)
   if tensora.shape[0] != accelerator.state.num_processes + 1:
      error_msg += F"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
   lowerCamelCase__							:						str							     =   accelerator.state.num_processes - accelerator.state.process_index - 1
   if not torch.equal(tensora[index:], tensor):
      error_msg += "Tensors have different values."
   if not torch.all(tensora[:index] == 0):
      error_msg += "Padding was not done with the right value (0)."

   # Raise error at the end to make sure we don't stop at the first failure.
   if len(error_msg) > 0:
      raise ValueError(error_msg)





import os
from datetime import datetime as dt

from github import Github


lowerCamelCase__							:						int							     =   [
    """good first issue""",
    """good second issue""",
    """good difficult issue""",
    """enhancement""",
    """new pipeline/model""",
    """new scheduler""",
    """wip""",
]







def SCREAMING_SNAKE_CASE	(			)    ->				Optional[Any]:
  snake_case__						= Github(os.environ['''GITHUB_TOKEN''']				)
  snake_case__						= g.get_repo('''huggingface/diffusers'''				)
  snake_case__						= repo.get_issues(state='''open'''				)

  for issue in open_issues:
    snake_case__						= sorted(issue.get_comments()							,   key=lambda __lowerCAmelCase				: i.created_at							,   reverse=__lowerCAmelCase				)
    snake_case__						= comments[0] if len(__lowerCAmelCase				) > 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()

