


import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


__lowerCamelCase         =			'__DUMMY_TRANSFORMERS_USER__'
__lowerCamelCase         =			'Dummy User'
__lowerCamelCase         =			'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'

__lowerCamelCase         =			'https://hub-ci.huggingface.co'
__lowerCamelCase         =			CI_HUB_ENDPOINT + '/datasets/{repo_id}/resolve/{revision}/{path}'
__lowerCamelCase         =			CI_HUB_ENDPOINT + '/{repo_id}/resolve/{revision}/{filename}'
__lowerCamelCase         =			Path('''~/.huggingface/hub_ci_token''').expanduser()







@pytest.fixture
def    _snake_case (       __snake_case    )     ->     List[str]:






      '''simple docstring'''







      monkeypatch.setattr(
          "huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"					,  lowercase_    )







@pytest.fixture
def    _snake_case (       __snake_case    )     ->     List[str]:






      '''simple docstring'''







      monkeypatch.setattr("datasets.config.HF_ENDPOINT"					,  lowercase_    )
      monkeypatch.setattr("datasets.config.HUB_DATASETS_URL"					,  lowercase_    )







@pytest.fixture
def    _snake_case (       __snake_case    )     ->     List[str]:






      '''simple docstring'''







      monkeypatch.setattr("huggingface_hub.hf_api.HfFolder.path_token"					,  lowercase_    )







@pytest.fixture
def    _snake_case (       __snake_case					,  __snake_case    )     ->     Tuple:






      '''simple docstring'''







      HfFolder.save_token(lowercase_    )
      yield
      HfFolder.delete_token()







@pytest.fixture(scope="session"    )
def    _snake_case (       )     ->     str:






      '''simple docstring'''







      return HfApi(endpoint=lowercase_    )







@pytest.fixture(scope="session"    )
def    _snake_case (       __snake_case    )     ->     Optional[int]:






      '''simple docstring'''







      UpperCAmelCase_  :	Optional[int]				      =		HfFolder.get_token()
      HfFolder.save_token(lowercase_    )
      yield CI_HUB_USER_TOKEN
      if previous_token is not None:
            HfFolder.save_token(lowercase_    )







@pytest.fixture
def    _snake_case (       __snake_case    )     ->     int:






      '''simple docstring'''







      def _cleanup_repo(__snake_case    ):
            hf_api.delete_repo(lowercase_					,  token=lowercase_					,  repo_type="dataset"    )

      return _cleanup_repo







@pytest.fixture
def    _snake_case (       __snake_case    )     ->     Dict:






      '''simple docstring'''







      @contextmanager
      def _temporary_repo(__snake_case    ):
            try:
                  yield repo_id
            finally:
                  cleanup_repo(lowercase_    )

      return _temporary_repo







@pytest.fixture(scope="session"    )
def    _snake_case (       __snake_case					,  __snake_case					,  __snake_case    )     ->     Optional[int]:






      '''simple docstring'''







      UpperCAmelCase_  :	Dict				      =		F"""repo_txt_data-{int(time.time() * 10E3    )}"""
      UpperCAmelCase_  :	Optional[int]				      =		F"""{CI_HUB_USER}/{repo_name}"""
      hf_api.create_repo(lowercase_					,  token=lowercase_					,  repo_type="dataset"					,  private=lowercase_    )
      hf_api.upload_file(
          token=lowercase_					,  path_or_fileobj=str(lowercase_    )					,  path_in_repo="data/text_data.txt"					,  repo_id=lowercase_					,  repo_type="dataset"					,  )
      yield repo_id
      try:
            hf_api.delete_repo(lowercase_					,  token=lowercase_					,  repo_type="dataset"    )
      except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
            pass







@pytest.fixture()
def    _snake_case (       __snake_case					,  __snake_case					,  __snake_case    )     ->     int:






      '''simple docstring'''







      return hf_private_dataset_repo_txt_data_







@pytest.fixture(scope="session"    )
def    _snake_case (       __snake_case					,  __snake_case					,  __snake_case    )     ->     int:






      '''simple docstring'''







      UpperCAmelCase_  :	Optional[int]				      =		F"""repo_zipped_txt_data-{int(time.time() * 10E3    )}"""
      UpperCAmelCase_  :	str				      =		F"""{CI_HUB_USER}/{repo_name}"""
      hf_api.create_repo(lowercase_					,  token=lowercase_					,  repo_type="dataset"					,  private=lowercase_    )
      hf_api.upload_file(
          token=lowercase_					,  path_or_fileobj=str(lowercase_    )					,  path_in_repo="data.zip"					,  repo_id=lowercase_					,  repo_type="dataset"					,  )
      yield repo_id
      try:
            hf_api.delete_repo(lowercase_					,  token=lowercase_					,  repo_type="dataset"    )
      except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
            pass







@pytest.fixture()
def    _snake_case (       __snake_case					,  __snake_case					,  __snake_case    )     ->     List[Any]:






      '''simple docstring'''







      return hf_private_dataset_repo_zipped_txt_data_







@pytest.fixture(scope="session"    )
def    _snake_case (       __snake_case					,  __snake_case					,  __snake_case    )     ->     int:






      '''simple docstring'''







      UpperCAmelCase_  :	Dict				      =		F"""repo_zipped_img_data-{int(time.time() * 10E3    )}"""
      UpperCAmelCase_  :	Tuple				      =		F"""{CI_HUB_USER}/{repo_name}"""
      hf_api.create_repo(lowercase_					,  token=lowercase_					,  repo_type="dataset"					,  private=lowercase_    )
      hf_api.upload_file(
          token=lowercase_					,  path_or_fileobj=str(lowercase_    )					,  path_in_repo="data.zip"					,  repo_id=lowercase_					,  repo_type="dataset"					,  )
      yield repo_id
      try:
            hf_api.delete_repo(lowercase_					,  token=lowercase_					,  repo_type="dataset"    )
      except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
            pass







@pytest.fixture()
def    _snake_case (       __snake_case					,  __snake_case					,  __snake_case    )     ->     Optional[int]:






      '''simple docstring'''







      return hf_private_dataset_repo_zipped_img_data_





def    _snake_case (       __snake_case					,  __snake_case    )     ->     str:






      '''simple docstring'''







      if a < 0 or b < 0:
            raise ValueError("the value of both inputs must be positive"    )

      UpperCAmelCase_  :	List[Any]				      =		str(bin(__snake_case    )    )[2:]  # remove the leading "0b"
      UpperCAmelCase_  :	int				      =		str(bin(__snake_case    )    )[2:]  # remove the leading "0b"

      UpperCAmelCase_  :	Optional[int]				      =		max(len(__snake_case    )					,  len(__snake_case    )    )

      return "0b" + "".join(
          str(int(char_a == "1" and char_b == "1"    )    )
          for char_a, char_b in zip(a_binary.zfill(__snake_case    )					,  b_binary.zfill(__snake_case    )    )    )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
