





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

import requests





def 					lowerCAmelCase_			(	__a     ,   __a=None		)					->		Union[str, Any]:







  """simple docstring"""





  lowerCamelCase__:				Tuple        =None
  if token is not None:
    lowerCamelCase__:				List[Any]        ={"Accept": "application/vnd.github+json", "Authorization": F"""Bearer {token}"""}

  lowerCamelCase__:				Tuple        =F"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
  lowerCamelCase__:				List[str]        =requests.get(__a     ,   headers=__a		).json()
  lowerCamelCase__:				Dict        ={}

  try:
    job_links.update({job["name"]: job["html_url"] for job in result["jobs"]}		)
    lowerCamelCase__:				Any        =math.ceil((result["total_count"] - 100) / 100		)

    for i in range(__a		):
      lowerCamelCase__:				int        =requests.get(url + F"""&page={i + 2}"""     ,   headers=__a		).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 					lowerCAmelCase_			(	__a     ,   __a=None		)					->		Dict:







  """simple docstring"""





  lowerCamelCase__:				Tuple        =None
  if token is not None:
    lowerCamelCase__:				Optional[Any]        ={"Accept": "application/vnd.github+json", "Authorization": F"""Bearer {token}"""}

  lowerCamelCase__:				Optional[Any]        =F"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
  lowerCamelCase__:				List[Any]        =requests.get(__a     ,   headers=__a		).json()
  lowerCamelCase__:				Optional[Any]        ={}

  try:
    artifacts.update({artifact["name"]: artifact["archive_download_url"] for artifact in result["artifacts"]}		)
    lowerCamelCase__:				Dict        =math.ceil((result["total_count"] - 100) / 100		)

    for i in range(__a		):
      lowerCamelCase__:				Dict        =requests.get(url + F"""&page={i + 2}"""     ,   headers=__a		).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 					lowerCAmelCase_			(	__a     ,   __a     ,   __a     ,   __a		)					->		Dict:







  """simple docstring"""





  lowerCamelCase__:				List[Any]        =None
  if token is not None:
    lowerCamelCase__:				int        ={"Accept": "application/vnd.github+json", "Authorization": F"""Bearer {token}"""}

  lowerCamelCase__:				Tuple        =requests.get(__a     ,   headers=__a     ,   allow_redirects=__a		)
  lowerCamelCase__:				List[Any]        =result.headers["Location"]
  lowerCamelCase__:				str        =requests.get(__a     ,   allow_redirects=__a		)
  lowerCamelCase__:				Optional[int]        =os.path.join(__a     ,   F"""{artifact_name}.zip"""		)
  with open(__a     ,   "wb"		) as fp:
    fp.write(response.content		)





def 					lowerCAmelCase_			(	__a     ,   __a=None		)					->		Union[str, Any]:







  """simple docstring"""





  lowerCamelCase__:				Tuple        =[]
  lowerCamelCase__:				Tuple        =[]
  lowerCamelCase__:				int        =None

  with zipfile.ZipFile(__a		) as z:
    for filename in z.namelist():
      if not os.path.isdir(__a		):
        # read the file
        if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
          with z.open(__a		) as f:
            for line in f:
              lowerCamelCase__:				int        =line.decode("UTF-8"		).strip()
              if filename == "failures_line.txt":
                try:
                  # `error_line` is the place where `error` occurs
                  lowerCamelCase__:				Optional[int]        =line[: line.index(": "		)]
                  lowerCamelCase__:				Union[str, Any]        =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__:				int        =line[len("FAILED "		) :]
                failed_tests.append(__a		)
              elif filename == "job_name.txt":
                lowerCamelCase__:				Tuple        =line

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

  lowerCamelCase__:				int        =None
  if job_name and job_links:
    lowerCamelCase__:				Any        =job_links.get(__a     ,   __a		)

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

  return result





def 					lowerCAmelCase_			(	__a     ,   __a=None		)					->		int:







  """simple docstring"""





  lowerCamelCase__:				Optional[Any]        =[]

  lowerCamelCase__:				int        =[os.path.join(__a     ,   __a		) for p in os.listdir(__a		) if p.endswith(".zip"		)]
  for p in paths:
    errors.extend(get_errors_from_single_artifact(__a     ,   job_links=__a		)		)

  return errors





def 					lowerCAmelCase_			(	__a     ,   __a=None		)					->		Optional[Any]:







  """simple docstring"""





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

  lowerCamelCase__:				Any        =dict(sorted(r.items()     ,   key=lambda __a		: item[1]["count"]     ,   reverse=__a		)		)
  return r





def 					lowerCAmelCase_			(	__a		)					->		Optional[int]:







  """simple docstring"""





  lowerCamelCase__:				str        =test.split("::"		)[0]
  if test.startswith("tests/models/"		):
    lowerCamelCase__:				Tuple        =test.split("/"		)[2]
  else:
    lowerCamelCase__:				List[str]        =None

  return test





def 					lowerCAmelCase_			(	__a     ,   __a=None		)					->		Dict:







  """simple docstring"""





  lowerCamelCase__:				Union[str, 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__:				int        ={x[2] for x in logs}

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

  lowerCamelCase__:				int        =dict(sorted(r.items()     ,   key=lambda __a		: item[1]["count"]     ,   reverse=__a		)		)
  return r





def 					lowerCAmelCase_			(	__a		)					->		Any:







  """simple docstring"""





  lowerCamelCase__:				Union[str, Any]        ="| no. | error | status |"
  lowerCamelCase__:				Dict        ="|-:|:-|:-|"
  lowerCamelCase__:				str        =[header, sep]
  for error in reduced_by_error:
    lowerCamelCase__:				Optional[int]        =reduced_by_error[error]["count"]
    lowerCamelCase__:				int        =F"""| {count} | {error[:100]} |  |"""
    lines.append(__a		)

  return "\n".join(__a		)





def 					lowerCAmelCase_			(	__a		)					->		int:







  """simple docstring"""





  lowerCamelCase__:				Optional[int]        ="| model | no. of errors | major error | count |"
  lowerCamelCase__:				int        ="|-:|-:|-:|-:|"
  lowerCamelCase__:				Union[str, Any]        =[header, sep]
  for model in reduced_by_model:
    lowerCamelCase__:				List[str]        =reduced_by_model[model]["count"]
    lowerCamelCase__  , lowerCamelCase__:				Optional[Any]        =list(reduced_by_model[model]["errors"].items()		)[0]
    lowerCamelCase__:				Dict        =F"""| {model} | {count} | {error[:60]} | {_count} |"""
    lines.append(__a		)

  return "\n".join(__a		)


if __name__ == "__main__":
     __A     =    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.")
     __A     =    parser.parse_args()

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

     __A     =    get_job_links(args.workflow_run_id, token=args.token)
     __A     =    {}
     # 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:
                    __A     =    k.find(" / ")
                    __A     =    k[index + len(" / ") :]
               __A     =    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)

     __A     =    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)

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

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

     # print the top 30 most common test errors
     __A     =    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)

     __A     =    reduce_by_error(errors)
     __A     =    reduce_by_model(errors)

     __A     =    make_github_table(reduced_by_error)
     __A     =    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)








from math import pow





def 					lowerCAmelCase_			(	__a     ,   __a     ,   __a     ,   __a     ,   __a     ,   )					->		tuple[int, int]:







  """simple docstring"""





  if current_sum == needed_sum:
    # If the sum of the powers is equal to needed_sum, then we have a solution.
    solutions_count += 1
    return current_sum, solutions_count

  lowerCamelCase__:				Optional[Any]        =int(pow(__a     ,   __a		)		)
  if current_sum + i_to_n <= needed_sum:
    # If the sum of the powers is less than needed_sum, then continue adding powers.
    current_sum += i_to_n
    lowerCamelCase__  , lowerCamelCase__:				int        =backtrack(
        __a     ,   __a     ,   current_number + 1     ,   __a     ,   __a		)
    current_sum -= i_to_n
  if i_to_n < needed_sum:
    # If the power of i is less than needed_sum, then try with the next power.
    lowerCamelCase__  , lowerCamelCase__:				Dict        =backtrack(
        __a     ,   __a     ,   current_number + 1     ,   __a     ,   __a		)
  return current_sum, solutions_count





def 					lowerCAmelCase_			(	__a     ,   __a		)					->		int:







  """simple docstring"""





  if not (1 <= needed_sum <= 1000 and 2 <= power <= 10):
    raise ValueError(
        "Invalid input\n"
        "needed_sum must be between 1 and 1000, power between 2 and 10."		)

  return backtrack(__a     ,   __a     ,   1     ,   0     ,   0		)[1]  # Return the solutions_count


if __name__ == "__main__":
     import doctest

     doctest.testmod()

