


'''simple docstring'''

import os
from datetime import datetime as dt

from github import Github


lowerCAmelCase				:str        =      [
    '''good first issue''',
    '''feature request''',
    '''wip''',
]





def lowerCamelCase      (      ):





	"""simple docstring"""







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

	for issue in open_issues:
		__magic_name__	:   List[str]					     =					sorted([comment for comment in issue.get_comments()]		,		key=lambda lowerCAmelCase		: i.created_at		,		reverse=lowerCAmelCase		)
		__magic_name__	:   Optional[Any]					     =					comments[0] if len(lowerCAmelCase		) > 0 else None
		__magic_name__	:   List[str]					     =					dt.utcnow()
		__magic_name__	:   Dict					     =					(current_time - issue.updated_at).days
		__magic_name__	:   Any					     =					(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()



'''simple docstring'''

# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ..models.auto import AutoModelForVisionaSeq
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
							from PIL import Image
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		A_     :      Any				   =    """Salesforce/blip-image-captioning-base"""
		A_     :      Any				   =    (
		    """This is a tool that generates a description of an image. It takes an input named `image` which should be the """
		    """image to caption, and returns a text that contains the description in English."""
		)
		A_     :      List[str]				   =    """image_captioner"""
		A_     :      Optional[Any]				   =    AutoModelForVisionaSeq

		A_     :      Any				   =    ["""image"""]
		A_     :      Union[str, Any]				   =    ["""text"""]







		def __init__( self		:						Dict  ,					*_A		:						Dict  ,					**_A		:						Any      )  ->			Dict:
			requires_backends(self  ,					['vision']      )
			super().__init__(*_A  ,					**_A      )







		def        __lowerCAmelCase		( self		:						Tuple  ,					_A		:						"Image"      )  ->			Union[str, Any]:
			return self.pre_processor(images=_A  ,					return_tensors='pt'      )







		def        __lowerCAmelCase		( self		:						Optional[Any]  ,					_A		:						str      )  ->			List[Any]:
			return self.model.generate(**_A      )







		def        __lowerCAmelCase		( self		:						int  ,					_A		:						Optional[int]      )  ->			Union[str, Any]:
			return self.pre_processor.batch_decode(_A  ,					skip_special_tokens=_A      )[0].strip()