






import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests





def 	lowerCAmelCase_		(lowercase__						:       Union[str, Any]       )		->    Optional[int]:


				'''simple docstring'''




				lowerCAmelCase__      			=						{}

				lowerCAmelCase__      			=						job['''started_at''']
				lowerCAmelCase__      			=						job['''completed_at''']

				lowerCAmelCase__      			=						date_parser.parse(lowercase__       )
				lowerCAmelCase__      			=						date_parser.parse(lowercase__       )

				lowerCAmelCase__      			=						round((end_datetime - start_datetime).total_seconds() / 60.0       )

				lowerCAmelCase__      			=						start
				lowerCAmelCase__      			=						end
				lowerCAmelCase__      			=						duration_in_min

				return job_info





def 	lowerCAmelCase_		(lowercase__						:       Optional[int]     ,					lowercase__						:       str=None       )		->    List[Any]:


				'''simple docstring'''




				lowerCAmelCase__      			=						None
				if token is not None:
								lowerCAmelCase__      			=						{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f'Bearer {token}'}

				lowerCAmelCase__      			=						f'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
				lowerCAmelCase__      			=						requests.get(lowercase__     ,					headers=lowercase__       ).json()
				lowerCAmelCase__      			=						{}

				try:
								job_time.update({job['''name''']: extract_time_from_single_job(lowercase__       ) for job in result['''jobs''']}       )
								lowerCAmelCase__      			=						math.ceil((result['''total_count'''] - 1_00) / 1_00       )

								for i in range(lowercase__       ):
												lowerCAmelCase__      			=						requests.get(url + f'&page={i + 2}'     ,					headers=lowercase__       ).json()
												job_time.update({job['''name''']: extract_time_from_single_job(lowercase__       ) for job in result['''jobs''']}       )

								return job_time
				except Exception:
								print(f'Unknown error, could not fetch links:\n{traceback.format_exc()}'       )

				return {}


if __name__ == "__main__":
			_UpperCAmelCase			:		Union[str, Any]   				=    argparse.ArgumentParser()
			# Required parameters
			parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
			_UpperCAmelCase			:		Optional[Any]   				=    parser.parse_args()

			_UpperCAmelCase			:		List[Any]   				=    get_job_time(args.workflow_run_id)
			_UpperCAmelCase			:		Any   				=    dict(sorted(job_time.items(), key=lambda item: item[1]["duration"], reverse=True))

			for k, v in job_time.items():
						print(F'''{k}: {v["duration"]}''')













import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey
class  lowerCAmelCase_       :




							def __init__(   self     :   Union[str, Any] ,							SCREAMING_SNAKE_CASE_     :   Optional[Any] ,							SCREAMING_SNAKE_CASE_     :   int ,							SCREAMING_SNAKE_CASE_     :   int	):
											if dst_width < 0 or dst_height < 0:
															raise ValueError('''Destination width/height should be > 0'''	)

											lowerCAmelCase__      			=						img
											lowerCAmelCase__      			=						img.shape[1]
											lowerCAmelCase__      			=						img.shape[0]
											lowerCAmelCase__      			=						dst_width
											lowerCAmelCase__      			=						dst_height

											lowerCAmelCase__      			=						self.src_w / self.dst_w
											lowerCAmelCase__      			=						self.src_h / self.dst_h

											lowerCAmelCase__      			=						lowerCAmelCase__      			=						(
											    np.ones((self.dst_h, self.dst_w, 3) ,							np.uinta	) * 255
											)




							def 						__snake_case					(   self     :   List[str]	):
											for i in range(self.dst_h	):
															for j in range(self.dst_w	):
																			lowerCAmelCase__      			=						self.img[self.get_y(SCREAMING_SNAKE_CASE_	)][self.get_x(SCREAMING_SNAKE_CASE_	)]




							def 						__snake_case					(   self     :   Any ,							SCREAMING_SNAKE_CASE_     :   int	):
											return int(self.ratio_x * x	)




							def 						__snake_case					(   self     :   List[str] ,							SCREAMING_SNAKE_CASE_     :   int	):
											return int(self.ratio_y * y	)


if __name__ == "__main__":
			_UpperCAmelCase				,   _UpperCAmelCase			:		List[str]   				=    800, 600
			_UpperCAmelCase			:		Tuple   				=    imread("image_data/lena.jpg", 1)
			_UpperCAmelCase			:		str   				=    NearestNeighbour(im, dst_w, dst_h)
			n.process()

			imshow(
			    F'''Image resized from: {im.shape[1]}x{im.shape[0]} to {dst_w}x{dst_h}''', n.output
			)
			waitKey(0)
			destroyAllWindows()





