



"""simple docstring"""
import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests

def       _snake_case						(						UpperCamelCase						:		List[str]			,		UpperCamelCase						:		str=None						):
 UpperCAmelCase	:					Optional[Any]	=	None
 if token is not None:
  UpperCAmelCase	:					str	=	{"""Accept""": """application/vnd.github+json""", """Authorization""": F"Bearer {token}"}

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

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

  for i in range(UpperCamelCase						):
   UpperCAmelCase	:					List[str]	=	requests.get(url + F"&page={i + 2}"			,		headers=UpperCamelCase						).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       _snake_case						(						UpperCamelCase						:		Optional[int]			,		UpperCamelCase						:		List[Any]=None						):
 UpperCAmelCase	:					Optional[Any]	=	None
 if token is not None:
  UpperCAmelCase	:					List[str]	=	{"""Accept""": """application/vnd.github+json""", """Authorization""": F"Bearer {token}"}

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

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

  for i in range(UpperCamelCase						):
   UpperCAmelCase	:					Tuple	=	requests.get(url + F"&page={i + 2}"			,		headers=UpperCamelCase						).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       _snake_case						(						UpperCamelCase						:		Dict			,		UpperCamelCase						:		Dict			,		UpperCamelCase						:		str			,		UpperCamelCase						:		Any						):
 UpperCAmelCase	:					Any	=	None
 if token is not None:
  UpperCAmelCase	:					Optional[int]	=	{"""Accept""": """application/vnd.github+json""", """Authorization""": F"Bearer {token}"}

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

def       _snake_case						(						UpperCamelCase						:		Optional[int]			,		UpperCamelCase						:		str=None						):
 UpperCAmelCase	:					Optional[Any]	=	[]
 UpperCAmelCase	:					Union[str, Any]	=	[]
 UpperCAmelCase	:					List[Any]	=	None

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

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

 UpperCAmelCase	:					Union[str, Any]	=	None
 if job_name and job_links:
  UpperCAmelCase	:					Optional[Any]	=	job_links.get(UpperCamelCase			,		UpperCamelCase						)

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

 return result

def       _snake_case						(						UpperCamelCase						:		Optional[int]			,		UpperCamelCase						:		str=None						):
 UpperCAmelCase	:					Tuple	=	[]

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

 return errors

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

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

def       _snake_case						(						UpperCamelCase						:		Optional[int]						):
 UpperCAmelCase	:					List[Any]	=	test.split("""::"""						)[0]
 if test.startswith("""tests/models/"""						):
  UpperCAmelCase	:					List[str]	=	test.split("""/"""						)[2]
 else:
  UpperCAmelCase	:					Tuple	=	None

 return test

def       _snake_case						(						UpperCamelCase						:		Any			,		UpperCamelCase						:		Tuple=None						):
 UpperCAmelCase	:					Union[str, Any]	=	[(x[0], x[1], get_model(x[2]						)) for x in logs]
 UpperCAmelCase	:					Union[str, Any]	=	[x for x in logs if x[2] is not None]
 UpperCAmelCase	:					List[str]	=	{x[2] for x in logs}

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

 UpperCAmelCase	:					Dict	=	dict(sorted(r.items()			,		key=lambda UpperCamelCase						: item[1]["count"]			,		reverse=UpperCamelCase						)						)
 return r

def       _snake_case						(						UpperCamelCase						:		List[Any]						):
 UpperCAmelCase	:					str	=	"""| no. | error | status |"""
 UpperCAmelCase	:					Any	=	"""|-:|:-|:-|"""
 UpperCAmelCase	:					Dict	=	[header, sep]
 for error in reduced_by_error:
  UpperCAmelCase	:					Tuple	=	reduced_by_error[error]["""count"""]
  UpperCAmelCase	:					Optional[int]	=	F"| {count} | {error[:100]} |  |"
  lines.append(UpperCamelCase						)

 return "\n".join(UpperCamelCase						)

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

 return "\n".join(UpperCamelCase						)


if __name__ == "__main__":
      A:   Union[str, Any]								=		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:   Tuple								=		parser.parse_args()

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

      A:   Union[str, Any]								=		get_job_links(args.workflow_run_id, token=args.token)
      A:   Optional[Any]								=		{}
      # 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:   str								=		k.find(" / ")
                        A:   Tuple								=		k[index + len(" / ") :]
                  A:   int								=		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:   Optional[int]								=		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:   int								=		get_all_errors(args.output_dir, job_links=job_links)

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

      # print the top 30 most common test errors
      A:   Optional[int]								=		counter.most_common(3_0)
      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:   str								=		reduce_by_error(errors)
      A:   Dict								=		reduce_by_model(errors)

      A:   Union[str, Any]								=		make_github_table(reduced_by_error)
      A:   Any								=		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"""



UpperCAmelCase__          = {
    'Pillow': 'Pillow',
    'accelerate': 'accelerate>=0.11.0',
    'compel': 'compel==0.1.8',
    'black': 'black~=23.1',
    'datasets': 'datasets',
    'filelock': 'filelock',
    'flax': 'flax>=0.4.1',
    'hf-doc-builder': 'hf-doc-builder>=0.3.0',
    'huggingface-hub': 'huggingface-hub>=0.13.2',
    'requests-mock': 'requests-mock==1.10.0',
    'importlib_metadata': 'importlib_metadata',
    'invisible-watermark': 'invisible-watermark',
    'isort': 'isort>=5.5.4',
    'jax': 'jax>=0.2.8,!=0.3.2',
    'jaxlib': 'jaxlib>=0.1.65',
    'Jinja2': 'Jinja2',
    'k-diffusion': 'k-diffusion>=0.0.12',
    'torchsde': 'torchsde',
    'note_seq': 'note_seq',
    'librosa': 'librosa',
    'numpy': 'numpy',
    'omegaconf': 'omegaconf',
    'parameterized': 'parameterized',
    'protobuf': 'protobuf>=3.20.3,<4',
    'pytest': 'pytest',
    'pytest-timeout': 'pytest-timeout',
    'pytest-xdist': 'pytest-xdist',
    'ruff': 'ruff>=0.0.241',
    'safetensors': 'safetensors',
    'sentencepiece': 'sentencepiece>=0.1.91,!=0.1.92',
    'scipy': 'scipy',
    'onnx': 'onnx',
    'regex': 'regex!=2019.12.17',
    'requests': 'requests',
    'tensorboard': 'tensorboard',
    'torch': 'torch>=1.4',
    'torchvision': 'torchvision',
    'transformers': 'transformers>=4.25.1',
    'urllib3': 'urllib3<=2.0.0',
}



