"""simple docstring"""







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

import requests



def     lowercase__( __SCREAMING_SNAKE_CASE							:  Dict  ,    __SCREAMING_SNAKE_CASE							:  Union[str, Any]=None   ):
     lowercase_			:       Union[str, Any]									=			None
     if token is not None:
          lowercase_			:       Optional[int]									=			{'Accept': 'application/vnd.github+json', 'Authorization': F'''Bearer {token}'''}

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

     try:
          job_links.update({job['name']: job['html_url'] for job in result['jobs']}   )
          lowercase_			:       Dict									=			math.ceil((result['total_count'] - 1_00) / 1_00   )

          for i in range(__SCREAMING_SNAKE_CASE   ):
               lowercase_			:       Any									=			requests.get(url + F'''&page={i + 2}'''  ,    headers=__SCREAMING_SNAKE_CASE   ).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__( __SCREAMING_SNAKE_CASE							:  Union[str, Any]  ,    __SCREAMING_SNAKE_CASE							:  Tuple=None   ):
     lowercase_			:       Any									=			None
     if token is not None:
          lowercase_			:       Any									=			{'Accept': 'application/vnd.github+json', 'Authorization': F'''Bearer {token}'''}

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

     try:
          artifacts.update({artifact['name']: artifact['archive_download_url'] for artifact in result['artifacts']}   )
          lowercase_			:       Tuple									=			math.ceil((result['total_count'] - 1_00) / 1_00   )

          for i in range(__SCREAMING_SNAKE_CASE   ):
               lowercase_			:       Any									=			requests.get(url + F'''&page={i + 2}'''  ,    headers=__SCREAMING_SNAKE_CASE   ).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__( __SCREAMING_SNAKE_CASE							:  Union[str, Any]  ,    __SCREAMING_SNAKE_CASE							:  Any  ,    __SCREAMING_SNAKE_CASE							:  Dict  ,    __SCREAMING_SNAKE_CASE							:  Dict   ):
     lowercase_			:       Tuple									=			None
     if token is not None:
          lowercase_			:       Tuple									=			{'Accept': 'application/vnd.github+json', 'Authorization': F'''Bearer {token}'''}

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



def     lowercase__( __SCREAMING_SNAKE_CASE							:  Optional[Any]  ,    __SCREAMING_SNAKE_CASE							:  str=None   ):
     lowercase_			:       str									=			[]
     lowercase_			:       Tuple									=			[]
     lowercase_			:       List[str]									=			None

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

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

     lowercase_			:       str									=			None
     if job_name and job_links:
          lowercase_			:       Tuple									=			job_links.get(__SCREAMING_SNAKE_CASE  ,    __SCREAMING_SNAKE_CASE   )

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

     return result



def     lowercase__( __SCREAMING_SNAKE_CASE							:  Optional[int]  ,    __SCREAMING_SNAKE_CASE							:  Optional[Any]=None   ):
     lowercase_			:       Optional[Any]									=			[]

     lowercase_			:       Dict									=			[os.path.join(__SCREAMING_SNAKE_CASE  ,    __SCREAMING_SNAKE_CASE   ) for p in os.listdir(__SCREAMING_SNAKE_CASE   ) if p.endswith('.zip'   )]
     for p in paths:
          errors.extend(get_errors_from_single_artifact(__SCREAMING_SNAKE_CASE  ,    job_links=__SCREAMING_SNAKE_CASE   )   )

     return errors



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

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



def     lowercase__( __SCREAMING_SNAKE_CASE							:  int   ):
     lowercase_			:       List[Any]									=			test.split('::'   )[0]
     if test.startswith('tests/models/'   ):
          lowercase_			:       str									=			test.split('/'   )[2]
     else:
          lowercase_			:       Optional[int]									=			None

     return test



def     lowercase__( __SCREAMING_SNAKE_CASE							:  Union[str, Any]  ,    __SCREAMING_SNAKE_CASE							:  List[Any]=None   ):
     lowercase_			:       Optional[Any]									=			[(x[0], x[1], get_model(x[2]   )) for x in logs]
     lowercase_			:       str									=			[x for x in logs if x[2] is not None]
     lowercase_			:       Tuple									=			{x[2] for x in logs}

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

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



def     lowercase__( __SCREAMING_SNAKE_CASE							:  Optional[Any]   ):
     lowercase_			:       int									=			'| no. | error | status |'
     lowercase_			:       Optional[Any]									=			'|-:|:-|:-|'
     lowercase_			:       Any									=			[header, sep]
     for error in reduced_by_error:
          lowercase_			:       List[str]									=			reduced_by_error[error]['count']
          lowercase_			:       int									=			F'''| {count} | {error[:1_00]} |  |'''
          lines.append(__SCREAMING_SNAKE_CASE   )

     return "\n".join(__SCREAMING_SNAKE_CASE   )



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

     return "\n".join(__SCREAMING_SNAKE_CASE   )


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

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

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

       __SCREAMING_SNAKE_CASE								=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)

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

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

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

       __SCREAMING_SNAKE_CASE								=reduce_by_error(errors)
       __SCREAMING_SNAKE_CASE								=reduce_by_model(errors)

       __SCREAMING_SNAKE_CASE								=make_github_table(reduced_by_error)
       __SCREAMING_SNAKE_CASE								=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"""







# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position

__SCREAMING_SNAKE_CASE								="2.13.1"

import platform

import pyarrow
from packaging import version


if version.parse(platform.python_version()) < version.parse("3.7"):
       raise ImportWarning(
           "To use `datasets`, Python>=3.7 is required, and the current version of Python doesn't match this condition."
       )

if version.parse(pyarrow.__version__).major < 8:
       raise ImportWarning(
           "To use `datasets`, the module `pyarrow>=8.0.0` is required, and the current version of `pyarrow` doesn't match this condition.\n"
           "If you are running this in a Google Colab, you should probably just restart the runtime to use the right version of `pyarrow`."
       )

del platform
del pyarrow
del version

from .arrow_dataset import Dataset
from .arrow_reader import ReadInstruction
from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
from .combine import concatenate_datasets, interleave_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .download import *
from .features import *
from .fingerprint import disable_caching, enable_caching, is_caching_enabled, set_caching_enabled
from .info import DatasetInfo, MetricInfo
from .inspect import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
    list_datasets,
    list_metrics,
)
from .iterable_dataset import IterableDataset
from .load import load_dataset, load_dataset_builder, load_from_disk, load_metric
from .metric import Metric
from .splits import (
    NamedSplit,
    NamedSplitAll,
    Split,
    SplitBase,
    SplitDict,
    SplitGenerator,
    SplitInfo,
    SubSplitInfo,
    percent,
)
from .tasks import *
from .utils import *
from .utils import logging


# deprecated modules
from datasets import arrow_dataset as _arrow_dataset  # isort:skip
from datasets import utils as _utils  # isort:skip
from datasets.utils import download_manager as _deprecated_download_manager  # isort:skip

__SCREAMING_SNAKE_CASE								=concatenate_datasets
__SCREAMING_SNAKE_CASE								=DownloadConfig
__SCREAMING_SNAKE_CASE								=DownloadManager
__SCREAMING_SNAKE_CASE								=DownloadMode
__SCREAMING_SNAKE_CASE								=DownloadConfig
__SCREAMING_SNAKE_CASE								=DownloadMode
__SCREAMING_SNAKE_CASE								=DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager

