
'''simple docstring'''

import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_=None			):







 """simple docstring"""


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

 lowerCAmelCase__     :   Any     		=	f'''https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'''
 lowerCAmelCase__     :   Optional[int]     		=	requests.get(lowerCamelCase_      ,			headers=lowerCamelCase_			).json()
 lowerCAmelCase__     :   List[Any]     		=	{}

 try:
  job_links.update({job["name"]: job["html_url"] for job in result["jobs"]}			)
  lowerCAmelCase__     :   Tuple     		=	math.ceil((result["total_count"] - 1_0_0) / 1_0_0			)

  for i in range(lowerCamelCase_			):
   lowerCAmelCase__     :   str     		=	requests.get(url + f'''&page={i + 2}'''      ,			headers=lowerCamelCase_			).json()
   job_links.update({job["name"]: job["html_url"] for job in result["jobs"]}			)

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

 return {}


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_=None			):







 """simple docstring"""


 lowerCAmelCase__     :   Union[str, Any]     		=	None
 if token is not None:
  lowerCAmelCase__     :   Union[str, Any]     		=	{"Accept": "application/vnd.github+json", "Authorization": f'''Bearer {token}'''}

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

 try:
  artifacts.update({artifact["name"]: artifact["archive_download_url"] for artifact in result["artifacts"]}			)
  lowerCAmelCase__     :   Dict     		=	math.ceil((result["total_count"] - 1_0_0) / 1_0_0			)

  for i in range(lowerCamelCase_			):
   lowerCAmelCase__     :   List[str]     		=	requests.get(url + f'''&page={i + 2}'''      ,			headers=lowerCamelCase_			).json()
   artifacts.update({artifact["name"]: artifact["archive_download_url"] for artifact in result["artifacts"]}			)

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

 return {}


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			):







 """simple docstring"""


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

 lowerCAmelCase__     :   List[Any]     		=	requests.get(lowerCamelCase_      ,			headers=lowerCamelCase_      ,			allow_redirects=lowerCamelCase_			)
 lowerCAmelCase__     :   Tuple     		=	result.headers["Location"]
 lowerCAmelCase__     :   Union[str, Any]     		=	requests.get(lowerCamelCase_      ,			allow_redirects=lowerCamelCase_			)
 lowerCAmelCase__     :   int     		=	os.path.join(lowerCamelCase_      ,			f'''{artifact_name}.zip'''			)
 with open(lowerCamelCase_      ,			"wb"			) as fp:
  fp.write(response.content			)


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_=None			):







 """simple docstring"""


 lowerCAmelCase__     :   Any     		=	[]
 lowerCAmelCase__     :   Dict     		=	[]
 lowerCAmelCase__     :   Dict     		=	None

 with zipfile.ZipFile(lowerCamelCase_			) as z:
  for filename in z.namelist():
   if not os.path.isdir(lowerCamelCase_			):
    # read the file
    if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
     with z.open(lowerCamelCase_			) as f:
      for line in f:
       lowerCAmelCase__     :   Optional[Any]     		=	line.decode("UTF-8"			).strip()
       if filename == "failures_line.txt":
        try:
         # `error_line` is the place where `error` occurs
         lowerCAmelCase__     :   List[Any]     		=	line[: line.index(": "			)]
         lowerCAmelCase__     :   Tuple     		=	line[line.index(": "			) + len(": "			) :]
         errors.append([error_line, error]			)
        except Exception:
         # skip un-related lines
         pass
       elif filename == "summary_short.txt" and line.startswith("FAILED "			):
        # `test` is the test method that failed
        lowerCAmelCase__     :   List[Any]     		=	line[len("FAILED "			) :]
        failed_tests.append(lowerCamelCase_			)
       elif filename == "job_name.txt":
        lowerCAmelCase__     :   Tuple     		=	line

 if len(lowerCamelCase_			) != len(lowerCamelCase_			):
  raise ValueError(
      f'''`errors` and `failed_tests` should have the same number of elements. Got {len(lowerCamelCase_			)} for `errors` '''
      f'''and {len(lowerCamelCase_			)} for `failed_tests` instead. The test reports in {artifact_zip_path} have some'''
      " problem."			)

 lowerCAmelCase__     :   Optional[Any]     		=	None
 if job_name and job_links:
  lowerCAmelCase__     :   Dict     		=	job_links.get(lowerCamelCase_      ,			lowerCamelCase_			)

 # A list with elements of the form (line of error, error, failed test)
 lowerCAmelCase__     :   Optional[int]     		=	[x + [y] + [job_link] for x, y in zip(lowerCamelCase_      ,			lowerCamelCase_			)]

 return result


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_=None			):







 """simple docstring"""


 lowerCAmelCase__     :   Dict     		=	[]

 lowerCAmelCase__     :   List[str]     		=	[os.path.join(lowerCamelCase_      ,			lowerCamelCase_			) for p in os.listdir(lowerCamelCase_			) if p.endswith(".zip"			)]
 for p in paths:
  errors.extend(get_errors_from_single_artifact(lowerCamelCase_      ,			job_links=lowerCamelCase_			)			)

 return errors


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_=None			):







 """simple docstring"""


 lowerCAmelCase__     :   int     		=	Counter()
 counter.update([x[1] for x in logs]			)
 lowerCAmelCase__     :   List[str]     		=	counter.most_common()
 lowerCAmelCase__     :   str     		=	{}
 for error, count in counts:
  if error_filter is None or error not in error_filter:
   lowerCAmelCase__     :   Any     		=	{"count": count, "failed_tests": [(x[2], x[0]) for x in logs if x[1] == error]}

 lowerCAmelCase__     :   Tuple     		=	dict(sorted(r.items()      ,			key=lambda lowerCamelCase_			: item[1]["count"]      ,			reverse=lowerCamelCase_			)			)
 return r


def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


 lowerCAmelCase__     :   Tuple     		=	test.split("::"			)[0]
 if test.startswith("tests/models/"			):
  lowerCAmelCase__     :   Optional[int]     		=	test.split("/"			)[2]
 else:
  lowerCAmelCase__     :   Union[str, Any]     		=	None

 return test


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_=None			):







 """simple docstring"""


 lowerCAmelCase__     :   Optional[Any]     		=	[(x[0], x[1], get_model(x[2]			)) for x in logs]
 lowerCAmelCase__     :   int     		=	[x for x in logs if x[2] is not None]
 lowerCAmelCase__     :   Dict     		=	{x[2] for x in logs}

 lowerCAmelCase__     :   str     		=	{}
 for test in tests:
  lowerCAmelCase__     :   str     		=	Counter()
  # count by errors in `test`
  counter.update([x[1] for x in logs if x[2] == test]			)
  lowerCAmelCase__     :   Tuple     		=	counter.most_common()
  lowerCAmelCase__     :   Optional[Any]     		=	{error: count for error, count in counts if (error_filter is None or error not in error_filter)}
  lowerCAmelCase__     :   Any     		=	sum(error_counts.values()			)
  if n_errors > 0:
   lowerCAmelCase__     :   Optional[Any]     		=	{"count": n_errors, "errors": error_counts}

 lowerCAmelCase__     :   List[str]     		=	dict(sorted(r.items()      ,			key=lambda lowerCamelCase_			: item[1]["count"]      ,			reverse=lowerCamelCase_			)			)
 return r


def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


 lowerCAmelCase__     :   int     		=	"| no. | error | status |"
 lowerCAmelCase__     :   Optional[Any]     		=	"|-:|:-|:-|"
 lowerCAmelCase__     :   Union[str, Any]     		=	[header, sep]
 for error in reduced_by_error:
  lowerCAmelCase__     :   Union[str, Any]     		=	reduced_by_error[error]["count"]
  lowerCAmelCase__     :   List[str]     		=	f'''| {count} | {error[:1_0_0]} |  |'''
  lines.append(lowerCamelCase_			)

 return "\n".join(lowerCamelCase_			)


def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


 lowerCAmelCase__     :   List[str]     		=	"| model | no. of errors | major error | count |"
 lowerCAmelCase__     :   Optional[Any]     		=	"|-:|-:|-:|-:|"
 lowerCAmelCase__     :   Any     		=	[header, sep]
 for model in reduced_by_model:
  lowerCAmelCase__     :   Union[str, Any]     		=	reduced_by_model[model]["count"]
  lowerCAmelCase__		,     lowerCAmelCase__     :   str     		=	list(reduced_by_model[model]["errors"].items()			)[0]
  lowerCAmelCase__     :   List[str]     		=	f'''| {model} | {count} | {error[:6_0]} | {_count} |'''
  lines.append(lowerCamelCase_			)

 return "\n".join(lowerCamelCase_			)


if __name__ == "__main__":
     snake_case									=    argparse.ArgumentParser()
     # Required parameters
     parser.add_argument("""--workflow_run_id""", type=str, required=True, help="""A GitHub Actions workflow run id.""")
     parser.add_argument(
         """--output_dir""",
         type=str,
         required=True,
         help="""Where to store the downloaded artifacts and other result files.""",
     )
     parser.add_argument("""--token""", default=None, type=str, help="""A token that has actions:read permission.""")
     snake_case									=    parser.parse_args()

     os.makedirs(args.output_dir, exist_ok=True)

     snake_case									=    get_job_links(args.workflow_run_id, token=args.token)
     snake_case									=    {}
     # To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
     # For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
     if _job_links:
          for k, v in _job_links.items():
               # This is how GitHub actions combine job names.
               if " / " in k:
                    snake_case									=    k.find(""" / """)
                    snake_case									=    k[index + len(""" / """) :]
               snake_case									=    v
     with open(os.path.join(args.output_dir, """job_links.json"""), """w""", encoding="""UTF-8""") as fp:
          json.dump(job_links, fp, ensure_ascii=False, indent=4)

     snake_case									=    get_artifacts_links(args.workflow_run_id, token=args.token)
     with open(os.path.join(args.output_dir, """artifacts.json"""), """w""", encoding="""UTF-8""") as fp:
          json.dump(artifacts, fp, ensure_ascii=False, indent=4)

     for idx, (name, url) in enumerate(artifacts.items()):
          download_artifact(name, url, args.output_dir, args.token)
          # Be gentle to GitHub
          time.sleep(1)

     snake_case									=    get_all_errors(args.output_dir, job_links=job_links)

     # `e[1]` is the error
     snake_case									=    Counter()
     counter.update([e[1] for e in errors])

     # print the top 30 most common test errors
     snake_case									=    counter.most_common(30)
     for item in most_common:
          print(item)

     with open(os.path.join(args.output_dir, """errors.json"""), """w""", encoding="""UTF-8""") as fp:
          json.dump(errors, fp, ensure_ascii=False, indent=4)

     snake_case									=    reduce_by_error(errors)
     snake_case									=    reduce_by_model(errors)

     snake_case									=    make_github_table(reduced_by_error)
     snake_case									=    make_github_table_per_model(reduced_by_model)

     with open(os.path.join(args.output_dir, """reduced_by_error.txt"""), """w""", encoding="""UTF-8""") as fp:
          fp.write(sa)
     with open(os.path.join(args.output_dir, """reduced_by_model.txt"""), """w""", encoding="""UTF-8""") as fp:
          fp.write(sa)







'''simple docstring'''

from cva import destroyAllWindows, imread, imshow, waitKey


def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


 lowerCAmelCase__		,     lowerCAmelCase__     :   Tuple     		=	img.shape[0], img.shape[1]

 # converting each pixel's color to its negative
 for i in range(lowerCamelCase_			):
  for j in range(lowerCamelCase_			):
   lowerCAmelCase__     :   Optional[int]     		=	[2_5_5, 2_5_5, 2_5_5] - img[i][j]

 return img


if __name__ == "__main__":
     # read original image
     snake_case									=    imread("""image_data/lena.jpg""", 1)

     # convert to its negative
     snake_case									=    convert_to_negative(img)

     # show result image
     imshow("""negative of original image""", img)
     waitKey(0)
     destroyAllWindows()





