
"""simple docstring"""


from typing import List, Union

import numpy as np

from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
						from PIL import Image

						from ..image_utils import load_image

if is_torch_available():
						import torch

						from ..models.auto.modeling_auto import MODEL_FOR_DEPTH_ESTIMATION_MAPPING

A_    							=					logging.get_logger(__name__)




@add_end_docstrings(lowerCAmelCase			)
class  __lowerCamelCase  ( lowerCAmelCase			):




				def __init__(				self							,						*UpperCAmelCase							,						**UpperCAmelCase   ):
							super().__init__(*UpperCAmelCase							,						**UpperCAmelCase   )
							requires_backends(self							,						'''vision'''   )
							self.check_model_type(UpperCAmelCase   )




				def __call__(				self							,						UpperCAmelCase							,						**UpperCAmelCase   ):
							return super().__call__(UpperCAmelCase							,						**UpperCAmelCase   )




				def        UpperCAmelCase__						(				self							,						**UpperCAmelCase   ):
							return {}, {}, {}




				def        UpperCAmelCase__						(				self							,						UpperCAmelCase   ):
							lowerCamelCase_					=  load_image(UpperCAmelCase   )
							lowerCamelCase_					=  image.size
							lowerCamelCase_					=  self.image_processor(images=UpperCAmelCase							,						return_tensors=self.framework   )
							return model_inputs




				def        UpperCAmelCase__						(				self							,						UpperCAmelCase   ):
							lowerCamelCase_					=  self.model(**UpperCAmelCase   )
							return model_outputs





				def        UpperCAmelCase__						(				self							,						UpperCAmelCase   ):
							lowerCamelCase_					=  model_outputs.predicted_depth
							lowerCamelCase_					=  torch.nn.functional.interpolate(
							    predicted_depth.unsqueeze(1   )							,						size=self.image_size[::-1]							,						mode='''bicubic'''							,						align_corners=UpperCAmelCase   )
							lowerCamelCase_					=  prediction.squeeze().cpu().numpy()
							lowerCamelCase_					=  (output * 255 / np.max(UpperCAmelCase   )).astype('''uint8'''   )
							lowerCamelCase_					=  Image.fromarray(UpperCAmelCase   )
							lowerCamelCase_					=  {}
							lowerCamelCase_					=  predicted_depth
							lowerCamelCase_					=  depth
							return output_dict





"""simple docstring"""


import os
from datetime import datetime as dt

from github import Github


A_    							=					[
    """good first issue""",
    """feature request""",
    """wip""",
]






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

			for issue in open_issues:
						lowerCamelCase_					=  sorted([comment for comment in issue.get_comments()]	,key=lambda lowerCAmelCase__						: i.created_at	,reverse=lowerCAmelCase__						)
						lowerCamelCase_					=  comments[0] if len(lowerCAmelCase__						) > 0 else None
						lowerCamelCase_					=  dt.utcnow()
						lowerCamelCase_					=  (current_time - issue.updated_at).days
						lowerCamelCase_					=  (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()



