


"""simple docstring"""





import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links


def      _snake_case						(						_snake_case				:			str ,   _snake_case				:			List[Any]=7			):
      lowerCAmelCase					:	Any       =   None
      if token is not None:
            lowerCAmelCase					:	Any       =   {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f'''Bearer {token}'''}

      # The id of a workflow (not of a workflow run)
      lowerCAmelCase					:	Union[str, Any]       =   '''636036'''

      lowerCAmelCase					:	Tuple       =   f'''https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs'''
      # On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
      url += f'''?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}'''

      lowerCAmelCase					:	int       =   requests.get(_snake_case ,   headers=_snake_case			).json()

      return result["workflow_runs"]


def      _snake_case						(						_snake_case				:			Union[str, Any]			):
      lowerCAmelCase					:	int       =   get_daily_ci_runs(_snake_case			)
      lowerCAmelCase					:	Dict       =   None
      for workflow_run in workflow_runs:
            if workflow_run["status"] == "completed":
                  lowerCAmelCase					:	List[Any]       =   workflow_run['''id''']
                  break

      return workflow_run_id


def      _snake_case						(						_snake_case				:			List[Any] ,   _snake_case				:			Tuple ,   _snake_case				:			Any			):
      lowerCAmelCase					:	Tuple       =   get_last_daily_ci_runs(_snake_case			)
      if workflow_run_id is not None:
            lowerCAmelCase					:	List[Any]       =   get_artifacts_links(worflow_run_id=_snake_case ,   token=_snake_case			)
            for artifact_name in artifact_names:
                  if artifact_name in artifacts_links:
                        lowerCAmelCase					:	Optional[int]       =   artifacts_links[artifact_name]
                        download_artifact(
                            artifact_name=_snake_case ,   artifact_url=_snake_case ,   output_dir=_snake_case ,   token=_snake_case			)






def      _snake_case						(						_snake_case				:			Optional[int] ,   _snake_case				:			int ,   _snake_case				:			Optional[Any]			):
      get_last_daily_ci_artifacts(_snake_case ,   _snake_case ,   _snake_case			)

      lowerCAmelCase					:	List[Any]       =   {}
      for artifact_name in artifact_names:
            lowerCAmelCase					:	Union[str, Any]       =   os.path.join(_snake_case ,   f'''{artifact_name}.zip'''			)
            if os.path.isfile(_snake_case			):
                  lowerCAmelCase					:	Dict       =   {}
                  with zipfile.ZipFile(_snake_case			) as z:
                        for filename in z.namelist():
                              if not os.path.isdir(_snake_case			):
                                    # read the file
                                    with z.open(_snake_case			) as f:
                                          lowerCAmelCase					:	List[Any]       =   f.read().decode('''UTF-8'''			)

      return results






"""simple docstring"""





import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


snake_case__		:     Optional[Any]    				=				namedtuple(
    '''_TestCommandArgs''',
    [
        '''dataset''',
        '''name''',
        '''cache_dir''',
        '''data_dir''',
        '''all_configs''',
        '''save_infos''',
        '''ignore_verifications''',
        '''force_redownload''',
        '''clear_cache''',
    ],
    defaults=[None, None, None, False, False, False, False, False],
)


def      _snake_case						(						_snake_case				:			List[Any] ,   _snake_case				:			List[str]			):
      return (abs(source - target			) / target) < 0.01






@pytest.mark.integration
def      _snake_case						(						_snake_case				:			Any			):
      lowerCAmelCase					:	Union[str, Any]       =   _TestCommandArgs(dataset=_snake_case ,   all_configs=_snake_case ,   save_infos=_snake_case			)
      lowerCAmelCase					:	str       =   TestCommand(*_snake_case			)
      test_command.run()
      lowerCAmelCase					:	str       =   os.path.join(_snake_case ,   '''README.md'''			)
      assert os.path.exists(_snake_case			)
      lowerCAmelCase					:	Tuple       =   DatasetInfosDict.from_directory(_snake_case			)
      lowerCAmelCase					:	List[str]       =   DatasetInfosDict(
          {
              '''default''': DatasetInfo(
                  features=Features(
                      {
                          '''tokens''': Sequence(Value('''string'''			)			),
                          '''ner_tags''': Sequence(
                              ClassLabel(names=['''O''', '''B-PER''', '''I-PER''', '''B-ORG''', '''I-ORG''', '''B-LOC''', '''I-LOC''']			)			),
                          '''langs''': Sequence(Value('''string'''			)			),
                          '''spans''': Sequence(Value('''string'''			)			),
                      }			) ,   splits=[
                      {
                          '''name''': '''train''',
                          '''num_bytes''': 2351563,
                          '''num_examples''': 10000,
                      },
                      {
                          '''name''': '''validation''',
                          '''num_bytes''': 238418,
                          '''num_examples''': 1000,
                      },
                  ] ,   download_size=3940680 ,   dataset_size=2589981 ,   )
          }			)
      assert dataset_infos.keys() == expected_dataset_infos.keys()
      for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
            lowerCAmelCase,      lowerCAmelCase					:	Union[str, Any]       =   getattr(dataset_infos['''default'''] ,   _snake_case			), getattr(expected_dataset_infos['''default'''] ,   _snake_case			)
            if key == "num_bytes":
                  assert is_apercent_close(_snake_case ,   _snake_case			)
            elif key == "splits":
                  assert list(_snake_case			) == list(_snake_case			)
                  for split in result:
                        assert result[split].name == expected[split].name
                        assert result[split].num_examples == expected[split].num_examples
                        assert is_apercent_close(result[split].num_bytes ,   expected[split].num_bytes			)
            else:
                  result == expected


