"""simple docstring"""
import json
import os
import re
import sys
import urllib.request

import requests
from bsa import BeautifulSoup

lowercase__ 	=     {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
    ' (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582'
}







def 						__a       (     _SCREAMING_SNAKE_CASE = "dhaka"		,					_SCREAMING_SNAKE_CASE = 5       )     ->int:
  a__:					Tuple      							=     min(_SCREAMING_SNAKE_CASE		,					50       )  # Prevent abuse!
  a__:					Union[str, Any]      							=     {
      'q': query,
      'tbm': 'isch',
      'hl': 'en',
      'ijn': '0',
  }

  a__:					Tuple      							=     requests.get('https://www.google.com/search'		,					params=_SCREAMING_SNAKE_CASE		,					headers=_SCREAMING_SNAKE_CASE       )
  a__:					str      							=     BeautifulSoup(html.text		,					'html.parser'       )
  a__:					Dict      							=     ''.join(
      re.findall(r'AF_initDataCallback\(([^<]+)\);'		,					str(soup.select('script'       )       )       )       )

  a__:					int      							=     json.dumps(_SCREAMING_SNAKE_CASE       )
  a__:					List[Any]      							=     json.loads(_SCREAMING_SNAKE_CASE       )

  a__:					Optional[int]      							=     re.findall(
      r'\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(.*),\"All\",'		,					_SCREAMING_SNAKE_CASE		,					)
  if not matched_google_image_data:
    return 0

  a__:					Any      							=     re.sub(
      r'\[\"(https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]'		,					''		,					str(_SCREAMING_SNAKE_CASE       )		,					)

  a__:					Tuple      							=     re.findall(
      r'(?:\'|,),\[\"(https:|http.*?)\",\d+,\d+\]'		,					_SCREAMING_SNAKE_CASE		,					)
  for index, fixed_full_res_image in enumerate(_SCREAMING_SNAKE_CASE       ):
    if index >= max_images:
      return index
    a__:					int      							=     bytes(_SCREAMING_SNAKE_CASE		,					'ascii'       ).decode(
        'unicode-escape'       )
    a__:					List[Any]      							=     bytes(_SCREAMING_SNAKE_CASE		,					'ascii'       ).decode(
        'unicode-escape'       )
    a__:					List[Any]      							=     urllib.request.build_opener()
    a__:					str      							=     [
        (
            'User-Agent',
            'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
            ' (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582',
        )
    ]
    urllib.request.install_opener(_SCREAMING_SNAKE_CASE       )
    a__:					List[str]      							=     F'query_{query.replace(" "		,					"_"       )}'
    if not os.path.exists(_SCREAMING_SNAKE_CASE       ):
      os.makedirs(_SCREAMING_SNAKE_CASE       )
    urllib.request.urlretrieve(  # noqa: S310
        _SCREAMING_SNAKE_CASE		,					F'{path_name}/original_size_img_{index}.jpg'       )
  return index


if __name__ == "__main__":
      try:
            lowercase__ 	=     download_images_from_google_query(sys.argv[1])
            print(f"{image_count} images were downloaded to disk.")
      except IndexError:
            print('Please provide a search term.')
            raise



"""simple docstring"""
import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests







def 						__a       (     _SCREAMING_SNAKE_CASE       )     ->Tuple:
  a__:					Tuple      							=     {}

  a__:					Tuple      							=     job['started_at']
  a__:					int      							=     job['completed_at']

  a__:					Any      							=     date_parser.parse(_SCREAMING_SNAKE_CASE       )
  a__:					Tuple      							=     date_parser.parse(_SCREAMING_SNAKE_CASE       )

  a__:					str      							=     round((end_datetime - start_datetime).total_seconds() / 60.0       )

  a__:					Any      							=     start
  a__:					Dict      							=     end
  a__:					Optional[int]      							=     duration_in_min

  return job_info







def 						__a       (     _SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE=None       )     ->Optional[int]:
  a__:					Tuple      							=     None
  if token is not None:
    a__:					List[str]      							=     {'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

  a__:					int      							=     F'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
  a__:					Union[str, Any]      							=     requests.get(_SCREAMING_SNAKE_CASE		,					headers=_SCREAMING_SNAKE_CASE       ).json()
  a__:					str      							=     {}

  try:
    job_time.update({job['name']: extract_time_from_single_job(_SCREAMING_SNAKE_CASE       ) for job in result['jobs']}       )
    a__:					Dict      							=     math.ceil((result['total_count'] - 100) / 100       )

    for i in range(_SCREAMING_SNAKE_CASE       ):
      a__:					str      							=     requests.get(url + F'&page={i + 2}'		,					headers=_SCREAMING_SNAKE_CASE       ).json()
      job_time.update({job['name']: extract_time_from_single_job(_SCREAMING_SNAKE_CASE       ) 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__":
 lowercase__ 	=     argparse.ArgumentParser()
 # Required parameters
 parser.add_argument('--workflow_run_id', type=str, required=True, help='A GitHub Actions workflow run id.')
 lowercase__ 	=     parser.parse_args()

 lowercase__ 	=     get_job_time(args.workflow_run_id)
 lowercase__ 	=     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']}")


