


import os

import pytest
import yaml

from datasets.features.features import Features, Value
from datasets.info import DatasetInfo, DatasetInfosDict



@pytest.mark.parametrize(
    """files"""  ,  [
        ["""full:README.md""", """dataset_infos.json"""],
        ["""empty:README.md""", """dataset_infos.json"""],
        ["""dataset_infos.json"""],
        ["""full:README.md"""],
    ]  ,  )
def  _a			(						__UpperCamelCase  ,  __UpperCamelCase ):
     a_    :     Union[str, Any]										=    tmp_path_factory.mktemp("""dset_infos_dir""" )
     if "full:README.md" in files:
          with open(dataset_infos_dir / """README.md"""  ,  """w""" ) as f:
               f.write("""---\ndataset_info:\n  dataset_size: 42\n---""" )
     if "empty:README.md" in files:
          with open(dataset_infos_dir / """README.md"""  ,  """w""" ) as f:
               f.write("""""" )
    # we want to support dataset_infos.json for backward compatibility
     if "dataset_infos.json" in files:
          with open(dataset_infos_dir / """dataset_infos.json"""  ,  """w""" ) as f:
               f.write("""{\"default\": {\"dataset_size\": 42}}""" )
     a_    :     int										=    DatasetInfosDict.from_directory(_SCREAMING_SNAKE_CASE )
     assert dataset_infos
     assert dataset_infos["default"].dataset_size == 4_2



@pytest.mark.parametrize(
    """dataset_info"""  ,  [
        DatasetInfo(),
        DatasetInfo(
            description="""foo"""  ,  features=Features({"""a""": Value("""int32""" )} )  ,  builder_name="""builder"""  ,  config_name="""config"""  ,  version="""1.0.0"""  ,  splits=[{"""name""": """train"""}]  ,  download_size=4_2  ,  ),
    ]  ,  )
def  _a			(						__UpperCamelCase  ,  __UpperCamelCase ):
     a_    :     Any										=    str(_SCREAMING_SNAKE_CASE )
     dataset_info.write_to_directory(_SCREAMING_SNAKE_CASE )
     a_    :     Tuple										=    DatasetInfo.from_directory(_SCREAMING_SNAKE_CASE )
     assert dataset_info == reloaded
     assert os.path.exists(os.path.join(_SCREAMING_SNAKE_CASE  ,  """dataset_info.json""" ) )



def  _a			(						):
     a_    :     Dict										=    DatasetInfo(
         description="""foo"""  ,  citation="""bar"""  ,  homepage="""https://foo.bar"""  ,  license="""CC0"""  ,  features=Features({"""a""": Value("""int32""" )} )  ,  post_processed={}  ,  supervised_keys=()  ,  task_templates=[]  ,  builder_name="""builder"""  ,  config_name="""config"""  ,  version="""1.0.0"""  ,  splits=[{"""name""": """train""", """num_examples""": 4_2}]  ,  download_checksums={}  ,  download_size=1_3_3_7  ,  post_processing_size=4_4_2  ,  dataset_size=1_2_3_4  ,  size_in_bytes=1_3_3_7 + 4_4_2 + 1_2_3_4  ,  )
     a_    :     List[str]										=    dataset_info._to_yaml_dict()
     assert sorted(_SCREAMING_SNAKE_CASE ) == sorted(DatasetInfo._INCLUDED_INFO_IN_YAML )
     for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
          assert key in dataset_info_yaml_dict
          assert isinstance(dataset_info_yaml_dict[key]  ,  (list, dict, int, str) )
     a_    :     int										=    yaml.safe_dump(_SCREAMING_SNAKE_CASE )
     a_    :     List[Any]										=    yaml.safe_load(_SCREAMING_SNAKE_CASE )
     assert dataset_info_yaml_dict == reloaded



def  _a			(						):
     a_    :     List[str]										=    DatasetInfo()
     a_    :     Dict										=    dataset_info._to_yaml_dict()
     assert dataset_info_yaml_dict == {}



@pytest.mark.parametrize(
    """dataset_infos_dict"""  ,  [
        DatasetInfosDict(),
        DatasetInfosDict({"""default""": DatasetInfo()} ),
        DatasetInfosDict({"""my_config_name""": DatasetInfo()} ),
        DatasetInfosDict(
            {
                """default""": DatasetInfo(
                    description="""foo"""  ,  features=Features({"""a""": Value("""int32""" )} )  ,  builder_name="""builder"""  ,  config_name="""config"""  ,  version="""1.0.0"""  ,  splits=[{"""name""": """train"""}]  ,  download_size=4_2  ,  )
            } ),
        DatasetInfosDict(
            {
                """v1""": DatasetInfo(dataset_size=4_2 ),
                """v2""": DatasetInfo(dataset_size=1_3_3_7 ),
            } ),
    ]  ,  )
def  _a			(						__UpperCamelCase  ,  __UpperCamelCase ):
     a_    :     int										=    str(_SCREAMING_SNAKE_CASE )
     dataset_infos_dict.write_to_directory(_SCREAMING_SNAKE_CASE )
     a_    :     Union[str, Any]										=    DatasetInfosDict.from_directory(_SCREAMING_SNAKE_CASE )

     # the config_name of the dataset_infos_dict take over the attribute
     for config_name, dataset_info in dataset_infos_dict.items():
          a_    :     str										=    config_name
          # the yaml representation doesn't include fields like description or citation
          # so we just test that we can recover what we can from the yaml
          a_    :     int										=    DatasetInfo._from_yaml_dict(dataset_info._to_yaml_dict() )
     assert dataset_infos_dict == reloaded

     if dataset_infos_dict:
          assert os.path.exists(os.path.join(_SCREAMING_SNAKE_CASE  ,  """README.md""" ) )







from datetime import datetime as dt
import os

from github import Github


__lowerCamelCase        =     [
    '''good first issue''',
    '''good second issue''',
    '''good difficult issue''',
    '''feature request''',
    '''new model''',
    '''wip''',
]



def  _a			(						):
     a_    :     List[str]										=    Github(os.environ["""GITHUB_TOKEN"""] )
     a_    :     str										=    g.get_repo("""huggingface/transformers""" )
     a_    :     List[str]										=    repo.get_issues(state="""open""" )

     for issue in open_issues:
          a_    :     Optional[Any]										=    sorted([comment for comment in issue.get_comments()]  ,  key=lambda __UpperCamelCase : i.created_at  ,  reverse=__UpperCamelCase )
          a_    :     List[Any]										=    comments[0] if len(__UpperCamelCase ) > 0 else None
          if (
              last_comment is not None
              and last_comment.user.login == "github-actions[bot]"
              and (dt.utcnow() - issue.updated_at).days > 7
              and (dt.utcnow() - issue.created_at).days >= 3_0
              and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels() )
          ):
               # print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
               issue.edit(state="""closed""" )
          elif (
              (dt.utcnow() - issue.updated_at).days > 2_3
              and (dt.utcnow() - issue.created_at).days >= 3_0
              and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels() )
          ):
               # print(f"Would add stale comment to {issue.number}")
               issue.create_comment(
                   """This issue has been automatically marked as stale because it has not had """
                   """recent activity. If you think this still needs to be addressed """
                   """please comment on this thread.\n\nPlease note that issues that do not follow the """
                   """[contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) """
                   """are likely to be ignored.""" )


if __name__ == "__main__":
       main()



