


"""simple docstring"""







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

import requests


def 					lowercase      (    A_  ,       A_=None	)->				List[str]:
  '''simple docstring'''







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

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

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

    for i in range(A_	):
      a						:		Optional[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 					lowercase      (    A_  ,       A_=None	)->				Tuple:
  '''simple docstring'''







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

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

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

    for i in range(A_	):
      a						:		Any											=      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 					lowercase      (    A_  ,       A_  ,       A_  ,       A_	)->				List[Any]:
  '''simple docstring'''







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

  a						:		Union[str, Any]											=      requests.get(A_  ,       headers=A_  ,       allow_redirects=A_	)
  a						:		str											=      result.headers["Location"]
  a						:		Dict											=      requests.get(A_  ,       allow_redirects=A_	)
  a						:		Dict											=      os.path.join(A_  ,       F'''{artifact_name}.zip'''	)
  with open(A_  ,       "wb"	) as fp:
    fp.write(response.content	)


def 					lowercase      (    A_  ,       A_=None	)->				List[Any]:
  '''simple docstring'''







  a						:		int											=      []
  a						:		int											=      []
  a						:		Dict											=      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:
              a						:		int											=      line.decode("UTF-8"	).strip()
              if filename == "failures_line.txt":
                try:
                  # `error_line` is the place where `error` occurs
                  a						:		str											=      line[: line.index(": "	)]
                  a						:		List[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
                a						:		Optional[int]											=      line[len("FAILED "	) :]
                failed_tests.append(A_	)
              elif filename == "job_name.txt":
                a						:		List[Any]											=      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."	)

  a						:		Union[str, Any]											=      None
  if job_name and job_links:
    a						:		List[Any]											=      job_links.get(A_  ,       A_	)

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

  return result


def 					lowercase      (    A_  ,       A_=None	)->				Dict:
  '''simple docstring'''







  a						:		List[str]											=      []

  a						:		Optional[Any]											=      [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 					lowercase      (    A_  ,       A_=None	)->				List[Any]:
  '''simple docstring'''







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

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


def 					lowercase      (    A_	)->				str:
  '''simple docstring'''







  a						:		Optional[Any]											=      test.split("::"	)[0]
  if test.startswith("tests/models/"	):
    a						:		Any											=      test.split("/"	)[2]
  else:
    a						:		List[Any]											=      None

  return test


def 					lowercase      (    A_  ,       A_=None	)->				str:
  '''simple docstring'''







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

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

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


def 					lowercase      (    A_	)->				int:
  '''simple docstring'''







  a						:		str											=      "| no. | error | status |"
  a						:		List[str]											=      "|-:|:-|:-|"
  a						:		List[str]											=      [header, sep]
  for error in reduced_by_error:
    a						:		Any											=      reduced_by_error[error]["count"]
    a						:		List[str]											=      F'''| {count} | {error[:100]} |  |'''
    lines.append(A_	)

  return "\n".join(A_	)


def 					lowercase      (    A_	)->				Any:
  '''simple docstring'''







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

  return "\n".join(A_	)


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.""")
 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.""")
 __lowercase    =				parser.parse_args()

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

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

 __lowercase    =				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)

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

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

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

 __lowercase    =				reduce_by_error(errors)
 __lowercase    =				reduce_by_model(errors)

 __lowercase    =				make_github_table(reduced_by_error)
 __lowercase    =				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"""







__lowercase    =				frozenset(
    [
        """prompt""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
        """cross_attention_kwargs""",
    ]
)

__lowercase    =				frozenset(["""prompt""", """negative_prompt"""])

__lowercase    =				frozenset([])

__lowercase    =				frozenset(["""image"""])

__lowercase    =				frozenset(
    [
        """image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

__lowercase    =				frozenset(["""image"""])

__lowercase    =				frozenset(
    [
        """prompt""",
        """image""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
    ]
)

__lowercase    =				frozenset(["""prompt""", """image""", """negative_prompt"""])

__lowercase    =				frozenset(
    [
        # Text guided image variation with an image mask
        """prompt""",
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
    ]
)

__lowercase    =				frozenset(["""prompt""", """image""", """mask_image""", """negative_prompt"""])

__lowercase    =				frozenset(
    [
        # image variation with an image mask
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

__lowercase    =				frozenset(["""image""", """mask_image"""])

__lowercase    =				frozenset(
    [
        """example_image""",
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

__lowercase    =				frozenset(["""example_image""", """image""", """mask_image"""])

__lowercase    =				frozenset(["""class_labels"""])

__lowercase    =				frozenset(["""class_labels"""])

__lowercase    =				frozenset(["""batch_size"""])

__lowercase    =				frozenset([])

__lowercase    =				frozenset(["""batch_size"""])

__lowercase    =				frozenset([])

__lowercase    =				frozenset(
    [
        """prompt""",
        """audio_length_in_s""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
        """cross_attention_kwargs""",
    ]
)

__lowercase    =				frozenset(["""prompt""", """negative_prompt"""])
__lowercase    =				frozenset(["""input_tokens"""])

__lowercase    =				frozenset(["""input_tokens"""])






