





from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
     import torch

if is_vision_available():
     from PIL import Image


__A									=				["text", "image", "audio"]





def      lowerCAmelCase_ (       __a		)     ->		List[Any]:







  """simple docstring"""





  lowerCamelCase__:      Dict			  =[]

  for input_type in input_types:
    if input_type == "text":
      inputs.append("Text input"		)
    elif input_type == "image":
      inputs.append(
          Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"		)		) / "000000039769.png"		).resize((512, 512)		)		)
    elif input_type == "audio":
      inputs.append(torch.ones(3000		)		)
    elif isinstance(__a	,    __a		):
      inputs.append(create_inputs(__a		)		)
    else:
      raise ValueError(F"""Invalid type requested: {input_type}"""		)

  return inputs





def      lowerCAmelCase_ (       __a		)     ->		Tuple:







  """simple docstring"""





  lowerCamelCase__:      Any			  =[]

  for output in outputs:
    if isinstance(__a	,    (str, AgentText)		):
      output_types.append("text"		)
    elif isinstance(__a	,    (Image.Image, AgentImage)		):
      output_types.append("image"		)
    elif isinstance(__a	,    (torch.Tensor, AgentAudio)		):
      output_types.append("audio"		)
    else:
      raise ValueError(F"""Invalid output: {output}"""		)

  return output_types






@is_tool_test
class    _SCREAMING_SNAKE_CASE						:







 '''simple docstring'''

 def 							SCREAMING_SNAKE_CASE_					(self				:   Tuple)       ->List[Any]:



   '''simple docstring'''



   self.assertTrue(hasattr(self.tool       , "inputs"))
   self.assertTrue(hasattr(self.tool       , "outputs"))

   lowerCamelCase__:      List[Any]			  =self.tool.inputs
   for _input in inputs:
     if isinstance(_input       , UpperCAmelCase_):
       for __input in _input:
         self.assertTrue(__input in authorized_types)
     else:
       self.assertTrue(_input in authorized_types)

   lowerCamelCase__:      List[str]			  =self.tool.outputs
   for _output in outputs:
     self.assertTrue(_output in authorized_types)

 def 							SCREAMING_SNAKE_CASE_					(self				:   str)       ->Optional[int]:



   '''simple docstring'''



   lowerCamelCase__:      Optional[int]			  =create_inputs(self.tool.inputs)
   lowerCamelCase__:      Tuple			  =self.tool(*UpperCAmelCase_)

   # There is a single output
   if len(self.tool.outputs) == 1:
     lowerCamelCase__:      Tuple			  =[outputs]

   self.assertListEqual(output_types(UpperCAmelCase_)       , self.tool.outputs)

 def 							SCREAMING_SNAKE_CASE_					(self				:   str)       ->Dict:



   '''simple docstring'''



   self.assertTrue(hasattr(self.tool       , "description"))
   self.assertTrue(hasattr(self.tool       , "default_checkpoint"))
   self.assertTrue(self.tool.description.startswith("This is a tool that"))

 def 							SCREAMING_SNAKE_CASE_					(self				:   Any)       ->Union[str, Any]:



   '''simple docstring'''



   lowerCamelCase__:      Optional[int]			  =create_inputs(self.tool.inputs)
   lowerCamelCase__:      Tuple			  =self.tool(*UpperCAmelCase_)

   if not isinstance(UpperCAmelCase_       , UpperCAmelCase_):
     lowerCamelCase__:      Optional[int]			  =[outputs]

   self.assertEqual(len(UpperCAmelCase_)       , len(self.tool.outputs))

   for output, output_type in zip(UpperCAmelCase_       , self.tool.outputs):
     lowerCamelCase__:      Optional[Any]			  =AGENT_TYPE_MAPPING[output_type]
     self.assertTrue(isinstance(UpperCAmelCase_       , UpperCAmelCase_))







 def 							SCREAMING_SNAKE_CASE_					(self				:   Any)       ->Dict:



   '''simple docstring'''



   lowerCamelCase__:      List[Any]			  =create_inputs(self.tool.inputs)

   lowerCamelCase__:      Union[str, Any]			  =[]

   for _input, input_type in zip(UpperCAmelCase_       , self.tool.inputs):
     if isinstance(UpperCAmelCase_       , UpperCAmelCase_):
       _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input) for _input_type in input_type])
     else:
       _inputs.append(AGENT_TYPE_MAPPING[input_type](_input))

        # Should not raise an error
   lowerCamelCase__:      Optional[int]			  =self.tool(*UpperCAmelCase_)

   if not isinstance(UpperCAmelCase_       , UpperCAmelCase_):
     lowerCamelCase__:      int			  =[outputs]

   self.assertEqual(len(UpperCAmelCase_)       , len(self.tool.outputs))








import os
from datetime import datetime as dt

from github import Github


snake_case__					:							Union[str, Any]													=     [
    'good first issue',
    'feature request',
    'wip',
]



def _a				(	)	->						List[Any]:







      '''simple docstring'''






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

      for issue in open_issues:
            __A          =				sorted([comment for comment in issue.get_comments()]					,				key=lambda lowerCamelCase : i.created_at					,				reverse=lowerCamelCase )
            __A          =				comments[0] if len(lowerCamelCase ) > 0 else None
            __A          =				dt.utcnow()
            __A          =				(current_time - issue.updated_at).days
            __A          =				(current_time - issue.created_at).days
            if (
                last_comment is not None
                and last_comment.user.login == "github-actions[bot]"
                and days_since_updated > 7
                and days_since_creation >= 30
                and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels() )
            ):
                  # Close issue since it has been 7 days of inactivity since bot mention.
                  issue.edit(state='''closed''' )
            elif (
                days_since_updated > 23
                and days_since_creation >= 30
                and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels() )
            ):
                  # Add stale comment
                  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/accelerate/blob/main/CONTRIBUTING.md) '''
                      '''are likely to be ignored.''' )


if __name__ == "__main__":
       main()





