






"""simple docstring"""







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

import requests






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase=None		):







       '''simple docstring'''
       UpperCAmelCase	    =			None
       if token is not None:
              UpperCAmelCase	    =			{"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

       UpperCAmelCase	    =			F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'''
       UpperCAmelCase	    =			requests.get(lowerCAmelCase	,      headers=lowerCAmelCase		).json()
       UpperCAmelCase	    =			{}

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

              for i in range(lowerCAmelCase		):
                     UpperCAmelCase	    =			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       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase=None		):







       '''simple docstring'''
       UpperCAmelCase	    =			None
       if token is not None:
              UpperCAmelCase	    =			{"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

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

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

              for i in range(lowerCAmelCase		):
                     UpperCAmelCase	    =			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       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			None
       if token is not None:
              UpperCAmelCase	    =			{"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

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






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase=None		):







       '''simple docstring'''
       UpperCAmelCase	    =			[]
       UpperCAmelCase	    =			[]
       UpperCAmelCase	    =			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:
                                                 UpperCAmelCase	    =			line.decode("""UTF-8"""		).strip()
                                                 if filename == "failures_line.txt":
                                                        try:
                                                               # `error_line` is the place where `error` occurs
                                                               UpperCAmelCase	    =			line[: line.index(""": """		)]
                                                               UpperCAmelCase	    =			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	    =			line[len("""FAILED """		) :]
                                                        failed_tests.append(lowerCAmelCase		)
                                                 elif filename == "job_name.txt":
                                                        UpperCAmelCase	    =			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."""		)

       UpperCAmelCase	    =			None
       if job_name and job_links:
              UpperCAmelCase	    =			job_links.get(lowerCAmelCase	,      lowerCAmelCase		)

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

       return result






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase=None		):







       '''simple docstring'''
       UpperCAmelCase	    =			[]

       UpperCAmelCase	    =			[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       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase=None		):







       '''simple docstring'''
       UpperCAmelCase	    =			Counter()
       counter.update([x[1] for x in logs]		)
       UpperCAmelCase	    =			counter.most_common()
       UpperCAmelCase	    =			{}
       for error, count in counts:
              if error_filter is None or error not in error_filter:
                     UpperCAmelCase	    =			{"""count""": count, """failed_tests""": [(x[2], x[0]) for x in logs if x[1] == error]}

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






def       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			test.split("""::"""		)[0]
       if test.startswith("""tests/models/"""		):
              UpperCAmelCase	    =			test.split("""/"""		)[2]
       else:
              UpperCAmelCase	    =			None

       return test






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase=None		):







       '''simple docstring'''
       UpperCAmelCase	    =			[(x[0], x[1], get_model(x[2]		)) for x in logs]
       UpperCAmelCase	    =			[x for x in logs if x[2] is not None]
       UpperCAmelCase	    =			{x[2] for x in logs}

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

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






def       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			"""| no. | error | status |"""
       UpperCAmelCase	    =			"""|-:|:-|:-|"""
       UpperCAmelCase	    =			[header, sep]
       for error in reduced_by_error:
              UpperCAmelCase	    =			reduced_by_error[error]["""count"""]
              UpperCAmelCase	    =			F'''| {count} | {error[:100]} |  |'''
              lines.append(lowerCAmelCase		)

       return "\n".join(lowerCAmelCase		)






def       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			"""| model | no. of errors | major error | count |"""
       UpperCAmelCase	    =			"""|-:|-:|-:|-:|"""
       UpperCAmelCase	    =			[header, sep]
       for model in reduced_by_model:
              UpperCAmelCase	    =			reduced_by_model[model]["""count"""]
              UpperCAmelCase    ,       UpperCAmelCase	    =			list(reduced_by_model[model]["""errors"""].items()		)[0]
              UpperCAmelCase	    =			F'''| {model} | {count} | {error[:60]} | {_count} |'''
              lines.append(lowerCAmelCase		)

       return "\n".join(lowerCAmelCase		)


if __name__ == "__main__":
 lowerCAmelCase_	:    Dict            =      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.''')
 lowerCAmelCase_	:    Union[str, Any]            =      parser.parse_args()

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

 lowerCAmelCase_	:    Tuple            =      get_job_links(args.workflow_run_id, token=args.token)
 lowerCAmelCase_	:    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:
    lowerCAmelCase_	:    Optional[Any]            =      k.find(''' / ''')
    lowerCAmelCase_	:    List[Any]            =      k[index + len(''' / ''') :]
   lowerCAmelCase_	:    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)

 lowerCAmelCase_	:    Dict            =      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)

 lowerCAmelCase_	:    Union[str, Any]            =      get_all_errors(args.output_dir, job_links=job_links)

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

 # print the top 30 most common test errors
 lowerCAmelCase_	:    str            =      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)

 lowerCAmelCase_	:    Any            =      reduce_by_error(errors)
 lowerCAmelCase_	:    Optional[int]            =      reduce_by_model(errors)

 lowerCAmelCase_	:    List[Any]            =      make_github_table(reduced_by_error)
 lowerCAmelCase_	:    Optional[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"""







from . import __version__

# Backward compatibility imports, to make sure all those objects can be found in file_utils
from .utils import (
    CLOUDFRONT_DISTRIB_PREFIX,
    CONFIG_NAME,
    DISABLE_TELEMETRY,
    DUMMY_INPUTS,
    DUMMY_MASK,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    FEATURE_EXTRACTOR_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_PREFIX,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    MODEL_CARD_NAME,
    MULTIPLE_CHOICE_DUMMY_INPUTS,
    PYTORCH_PRETRAINED_BERT_CACHE,
    PYTORCH_TRANSFORMERS_CACHE,
    S3_BUCKET_PREFIX,
    SENTENCEPIECE_UNDERLINE,
    SPIECE_UNDERLINE,
    TF2_WEIGHTS_NAME,
    TF_WEIGHTS_NAME,
    TORCH_FX_REQUIRED_VERSION,
    TRANSFORMERS_CACHE,
    TRANSFORMERS_DYNAMIC_MODULE_NAME,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    WEIGHTS_INDEX_NAME,
    WEIGHTS_NAME,
    ContextManagers,
    DummyObject,
    EntryNotFoundError,
    ExplicitEnum,
    ModelOutput,
    PaddingStrategy,
    PushToHubMixin,
    RepositoryNotFoundError,
    RevisionNotFoundError,
    TensorType,
    _LazyModule,
    add_code_sample_docstrings,
    add_end_docstrings,
    add_start_docstrings,
    add_start_docstrings_to_model_forward,
    cached_property,
    copy_func,
    default_cache_path,
    define_sagemaker_information,
    get_cached_models,
    get_file_from_repo,
    get_full_repo_name,
    get_torch_version,
    has_file,
    http_user_agent,
    is_apex_available,
    is_bsa_available,
    is_coloredlogs_available,
    is_datasets_available,
    is_detectrona_available,
    is_faiss_available,
    is_flax_available,
    is_ftfy_available,
    is_in_notebook,
    is_ipex_available,
    is_librosa_available,
    is_offline_mode,
    is_onnx_available,
    is_pandas_available,
    is_phonemizer_available,
    is_protobuf_available,
    is_psutil_available,
    is_pyanvml_available,
    is_pyctcdecode_available,
    is_pytesseract_available,
    is_pytorch_quantization_available,
    is_rjieba_available,
    is_sagemaker_dp_enabled,
    is_sagemaker_mp_enabled,
    is_scipy_available,
    is_sentencepiece_available,
    is_seqio_available,
    is_sklearn_available,
    is_soundfile_availble,
    is_spacy_available,
    is_speech_available,
    is_tensor,
    is_tensorflow_probability_available,
    is_tfaonnx_available,
    is_tf_available,
    is_timm_available,
    is_tokenizers_available,
    is_torch_available,
    is_torch_bfaa_available,
    is_torch_cuda_available,
    is_torch_fx_available,
    is_torch_fx_proxy,
    is_torch_mps_available,
    is_torch_tfaa_available,
    is_torch_tpu_available,
    is_torchaudio_available,
    is_training_run_on_sagemaker,
    is_vision_available,
    replace_return_docstrings,
    requires_backends,
    to_numpy,
    to_py_obj,
    torch_only_method,
)
