

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

import requests


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

    SCREAMING_SNAKE_CASE_									=						f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
    SCREAMING_SNAKE_CASE_									=						requests.get(lowerCAmelCase__ ,   headers=lowerCAmelCase__       ).json()
    SCREAMING_SNAKE_CASE_									=						{}

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

        for i in range(lowerCAmelCase__       ):
            SCREAMING_SNAKE_CASE_									=						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       (  _SCREAMING_SNAKE_CASE					:		List[Any] ,   _SCREAMING_SNAKE_CASE					:		int=None       ):
    SCREAMING_SNAKE_CASE_									=						None
    if token is not None:
        SCREAMING_SNAKE_CASE_									=						{'Accept': 'application/vnd.github+json', 'Authorization': f"""Bearer {token}"""}

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

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

        for i in range(lowerCAmelCase__       ):
            SCREAMING_SNAKE_CASE_									=						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       (  _SCREAMING_SNAKE_CASE					:		List[Any] ,   _SCREAMING_SNAKE_CASE					:		Union[str, Any] ,   _SCREAMING_SNAKE_CASE					:		List[Any] ,   _SCREAMING_SNAKE_CASE					:		Optional[Any]       ):
    SCREAMING_SNAKE_CASE_									=						None
    if token is not None:
        SCREAMING_SNAKE_CASE_									=						{'Accept': 'application/vnd.github+json', 'Authorization': f"""Bearer {token}"""}

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


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Dict ,   _SCREAMING_SNAKE_CASE					:		List[str]=None       ):
    SCREAMING_SNAKE_CASE_									=						[]
    SCREAMING_SNAKE_CASE_									=						[]
    SCREAMING_SNAKE_CASE_									=						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:
                            SCREAMING_SNAKE_CASE_									=						line.decode('UTF-8'       ).strip()
                            if filename == "failures_line.txt":
                                try:
                                    # `error_line` is the place where `error` occurs
                                    SCREAMING_SNAKE_CASE_									=						line[: line.index(': '       )]
                                    SCREAMING_SNAKE_CASE_									=						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
                                SCREAMING_SNAKE_CASE_									=						line[len('FAILED '       ) :]
                                failed_tests.append(lowerCAmelCase__       )
                            elif filename == "job_name.txt":
                                SCREAMING_SNAKE_CASE_									=						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.'       )

    SCREAMING_SNAKE_CASE_									=						None
    if job_name and job_links:
        SCREAMING_SNAKE_CASE_									=						job_links.get(lowerCAmelCase__ ,   lowerCAmelCase__       )

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

    return result


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Union[str, Any] ,   _SCREAMING_SNAKE_CASE					:		Any=None       ):
    SCREAMING_SNAKE_CASE_									=						[]

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

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


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Optional[Any]       ):
    SCREAMING_SNAKE_CASE_									=						test.split('::'       )[0]
    if test.startswith('tests/models/'       ):
        SCREAMING_SNAKE_CASE_									=						test.split('/'       )[2]
    else:
        SCREAMING_SNAKE_CASE_									=						None

    return test


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Any ,   _SCREAMING_SNAKE_CASE					:		Union[str, Any]=None       ):
    SCREAMING_SNAKE_CASE_									=						[(x[0], x[1], get_model(x[2]       )) for x in logs]
    SCREAMING_SNAKE_CASE_									=						[x for x in logs if x[2] is not None]
    SCREAMING_SNAKE_CASE_									=						{x[2] for x in logs}

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

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


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Optional[Any]       ):
    SCREAMING_SNAKE_CASE_									=						'| no. | error | status |'
    SCREAMING_SNAKE_CASE_									=						'|-:|:-|:-|'
    SCREAMING_SNAKE_CASE_									=						[header, sep]
    for error in reduced_by_error:
        SCREAMING_SNAKE_CASE_									=						reduced_by_error[error]['count']
        SCREAMING_SNAKE_CASE_									=						f"""| {count} | {error[:100]} |  |"""
        lines.append(lowerCAmelCase__       )

    return "\n".join(lowerCAmelCase__       )


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Tuple       ):
    SCREAMING_SNAKE_CASE_									=						'| model | no. of errors | major error | count |'
    SCREAMING_SNAKE_CASE_									=						'|-:|-:|-:|-:|'
    SCREAMING_SNAKE_CASE_									=						[header, sep]
    for model in reduced_by_model:
        SCREAMING_SNAKE_CASE_									=						reduced_by_model[model]['count']
        SCREAMING_SNAKE_CASE_							,			SCREAMING_SNAKE_CASE_									=						list(reduced_by_model[model]['errors'].items()       )[0]
        SCREAMING_SNAKE_CASE_									=						f"""| {model} | {count} | {error[:60]} | {_count} |"""
        lines.append(lowerCAmelCase__       )

    return "\n".join(lowerCAmelCase__       )


if __name__ == "__main__":
       UpperCamelCase__  :      str			=    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.")
       UpperCamelCase__  :      Tuple			=    parser.parse_args()

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

       UpperCamelCase__  :      Tuple			=    get_job_links(args.workflow_run_id, token=args.token)
       UpperCamelCase__  :      Optional[int]			=    {}
       # 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:
                            UpperCamelCase__  :      Optional[int]			=    k.find(" / ")
                            UpperCamelCase__  :      List[str]			=    k[index + len(" / ") :]
                     UpperCamelCase__  :      str			=    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)

       UpperCamelCase__  :      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)

       UpperCamelCase__  :      Dict			=    get_all_errors(args.output_dir, job_links=job_links)

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

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

       UpperCamelCase__  :      List[Any]			=    reduce_by_error(errors)
       UpperCamelCase__  :      Optional[Any]			=    reduce_by_model(errors)

       UpperCamelCase__  :      Tuple			=    make_github_table(reduced_by_error)
       UpperCamelCase__  :      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)





import pytest

import datasets


# Import fixture modules as plugins
UpperCamelCase__  :      Union[str, Any]			=    ["tests.fixtures.files", "tests.fixtures.hub", "tests.fixtures.fsspec"]


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Optional[Any] ,   _SCREAMING_SNAKE_CASE					:		Dict       ):





    """simple docstring"""


    for item in items:
        if any(marker in item.keywords for marker in ['integration', 'unit']       ):
            continue
        item.add_marker(pytest.mark.unit       )


def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Optional[int]       ):





    """simple docstring"""


    config.addinivalue_line('markers' ,   'torchaudio_latest: mark test to run with torchaudio>=0.12'       )


@pytest.fixture(autouse=_SCREAMING_SNAKE_CASE       )
def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Any ,   _SCREAMING_SNAKE_CASE					:		str       ):





    """simple docstring"""


    SCREAMING_SNAKE_CASE_									=						tmp_path_factory.getbasetemp() / 'cache'
    SCREAMING_SNAKE_CASE_									=						test_hf_cache_home / 'datasets'
    SCREAMING_SNAKE_CASE_									=						test_hf_cache_home / 'metrics'
    SCREAMING_SNAKE_CASE_									=						test_hf_cache_home / 'modules'
    monkeypatch.setattr('datasets.config.HF_DATASETS_CACHE' ,   str(_SCREAMING_SNAKE_CASE       )       )
    monkeypatch.setattr('datasets.config.HF_METRICS_CACHE' ,   str(_SCREAMING_SNAKE_CASE       )       )
    monkeypatch.setattr('datasets.config.HF_MODULES_CACHE' ,   str(_SCREAMING_SNAKE_CASE       )       )
    SCREAMING_SNAKE_CASE_									=						test_hf_datasets_cache / 'downloads'
    monkeypatch.setattr('datasets.config.DOWNLOADED_DATASETS_PATH' ,   str(_SCREAMING_SNAKE_CASE       )       )
    SCREAMING_SNAKE_CASE_									=						test_hf_datasets_cache / 'downloads' / 'extracted'
    monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH' ,   str(_SCREAMING_SNAKE_CASE       )       )


@pytest.fixture(autouse=_SCREAMING_SNAKE_CASE ,   scope='session'       )
def 					_UpperCAmelCase       (  ):





    """simple docstring"""


    datasets.disable_progress_bar()


@pytest.fixture(autouse=_SCREAMING_SNAKE_CASE       )
def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Any       ):





    """simple docstring"""


    monkeypatch.setattr('datasets.config.HF_UPDATE_DOWNLOAD_COUNTS' ,   _SCREAMING_SNAKE_CASE       )





@pytest.fixture
def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		Tuple       ):





    """simple docstring"""


    monkeypatch.setattr('sqlalchemy.util.deprecations.SILENCE_UBER_WARNING' ,   _SCREAMING_SNAKE_CASE       )


