

"""simple docstring"""





from importlib import import_module

from .logging import get_logger


_a       =							get_logger(__name__)




class 					_lowerCAmelCase  :







 """simple docstring"""







 def __init__(			self							:			Optional[int],					UpperCAmelCase__							:			Tuple,					UpperCAmelCase__							:			str=None	):
    __lowercase								=						attrs or []
    if module is not None:
       for key in module.__dict__:
          if key in attrs or not key.startswith("__"	):
             setattr(self,					UpperCAmelCase__,					getattr(UpperCAmelCase__,					UpperCAmelCase__	)	)
    __lowercase								=						module._original_module if isinstance(UpperCAmelCase__,					_PatchedModuleObj	) else module







class 					_lowerCAmelCase  :







 """simple docstring"""







 __UpperCAmelCase	:					Any   		=	[]


 def __init__(			self							:			List[Any],					UpperCAmelCase__							:			Optional[Any],					UpperCAmelCase__							:			str,					UpperCAmelCase__							:			Tuple,					UpperCAmelCase__							:			int=None	):
    __lowercase								=						obj
    __lowercase								=						target
    __lowercase								=						new
    __lowercase								=						target.split("."	)[0]
    __lowercase								=						{}
    __lowercase								=						attrs or []


 def __enter__(			self							:			List[str]	):
    *__lowercase		,__lowercase								=						self.target.split("."	)

    # Patch modules:
    # it's used to patch attributes of submodules like "os.path.join";
    # in this case we need to patch "os" and "os.path"

    for i in range(len(UpperCAmelCase__	)	):
       try:
          __lowercase								=						import_module(".".join(submodules[: i + 1]	)	)
       except ModuleNotFoundError:
          continue
       # We iterate over all the globals in self.obj in case we find "os" or "os.path"
       for attr in self.obj.__dir__():
          __lowercase								=						getattr(self.obj,					UpperCAmelCase__	)
          # We don't check for the name of the global, but rather if its value *is* "os" or "os.path".
          # This allows to patch renamed modules like "from os import path as ospath".
          if obj_attr is submodule or (
              (isinstance(UpperCAmelCase__,					_PatchedModuleObj	) and obj_attr._original_module is submodule)
          ):
             __lowercase								=						obj_attr
             # patch at top level
             setattr(self.obj,					UpperCAmelCase__,					_PatchedModuleObj(UpperCAmelCase__,					attrs=self.attrs	)	)
             __lowercase								=						getattr(self.obj,					UpperCAmelCase__	)
             # construct lower levels patches
             for key in submodules[i + 1 :]:
                setattr(UpperCAmelCase__,					UpperCAmelCase__,					_PatchedModuleObj(getattr(UpperCAmelCase__,					UpperCAmelCase__,					UpperCAmelCase__	),					attrs=self.attrs	)	)
                __lowercase								=						getattr(UpperCAmelCase__,					UpperCAmelCase__	)
             # finally set the target attribute
             setattr(UpperCAmelCase__,					UpperCAmelCase__,					self.new	)

        # Patch attribute itself:
        # it's used for builtins like "open",
        # and also to patch "os.path.join" we may also need to patch "join"
        # itself if it was imported as "from os.path import join".

    if submodules:  # if it's an attribute of a submodule like "os.path.join"
       try:
          __lowercase								=						getattr(import_module(".".join(UpperCAmelCase__	)	),					UpperCAmelCase__	)
       except (AttributeError, ModuleNotFoundError):
          return
       # We iterate over all the globals in self.obj in case we find "os.path.join"
       for attr in self.obj.__dir__():
          # We don't check for the name of the global, but rather if its value *is* "os.path.join".
          # This allows to patch renamed attributes like "from os.path import join as pjoin".
          if getattr(self.obj,					UpperCAmelCase__	) is attr_value:
             __lowercase								=						getattr(self.obj,					UpperCAmelCase__	)
             setattr(self.obj,					UpperCAmelCase__,					self.new	)
    elif target_attr in globals()["__builtins__"]:  # if it'a s builtin like "open"
       __lowercase								=						globals()["__builtins__"][target_attr]
       setattr(self.obj,					UpperCAmelCase__,					self.new	)
    else:
       raise RuntimeError(F"""Tried to patch attribute {target_attr} instead of a submodule."""	)


 def __exit__(			self							:			str,					*UpperCAmelCase__							:			Tuple	):
    for attr in list(self.original	):
       setattr(self.obj,					UpperCAmelCase__,					self.original.pop(UpperCAmelCase__	)	)


 def 					_lowercase (			self							:			Optional[int]	):
    self.__enter__()
    self._active_patches.append(self	)



 def 					_lowercase (			self							:			List[str]	):
    try:
       self._active_patches.remove(self	)
    except ValueError:
       # If the patch hasn't been started this will fail
       return None

    return self.__exit__()







"""simple docstring"""





import time
from contextlib import contextmanager
from pathlib import Path

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


_a       =							'__DUMMY_TRANSFORMERS_USER__'
_a       =							'Dummy User'
_a       =							'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'

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




@pytest.fixture
def   _A  (  UpperCamelCase_     :       List[Any])	->						Tuple:
   '''simple docstring'''


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




@pytest.fixture
def   _A  (  UpperCamelCase_     :       int)	->						List[Any]:
   '''simple docstring'''


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




@pytest.fixture
def   _A  (  UpperCamelCase_     :       str)	->						Dict:
   '''simple docstring'''


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




@pytest.fixture
def   _A  (  UpperCamelCase_     :       Optional[Any],			UpperCamelCase_     :       List[Any])	->						List[str]:
   '''simple docstring'''


   HfFolder.save_token(UpperCamelCase_)
   yield
   HfFolder.delete_token()




@pytest.fixture(scope="session")
def   _A  (  )	->						List[Any]:
   '''simple docstring'''


   return HfApi(endpoint=UpperCamelCase_)




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       HfApi)	->						List[Any]:
   '''simple docstring'''


   __lowercase								=						HfFolder.get_token()
   HfFolder.save_token(UpperCamelCase_)
   yield CI_HUB_USER_TOKEN
   if previous_token is not None:
      HfFolder.save_token(UpperCamelCase_)




@pytest.fixture
def   _A  (  UpperCamelCase_     :       Dict)	->						int:
   '''simple docstring'''


   def _cleanup_repo(UpperCamelCase_     :       Optional[int]):
      hf_api.delete_repo(UpperCamelCase_,			token=UpperCamelCase_,			repo_type="dataset")

   return _cleanup_repo




@pytest.fixture
def   _A  (  UpperCamelCase_     :       str)	->						Any:
   '''simple docstring'''


   @contextmanager
   def _temporary_repo(UpperCamelCase_     :       Any):
      try:
         yield repo_id
      finally:
         cleanup_repo(UpperCamelCase_)

   return _temporary_repo




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       HfApi,			UpperCamelCase_     :       str,			UpperCamelCase_     :       Optional[int])	->						List[Any]:
   '''simple docstring'''


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




@pytest.fixture()
def   _A  (  UpperCamelCase_     :       Tuple,			UpperCamelCase_     :       Any,			UpperCamelCase_     :       Dict)	->						Optional[int]:
   '''simple docstring'''


   return hf_private_dataset_repo_txt_data_




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       HfApi,			UpperCamelCase_     :       int,			UpperCamelCase_     :       Optional[int])	->						int:
   '''simple docstring'''


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




@pytest.fixture()
def   _A  (  UpperCamelCase_     :       List[str],			UpperCamelCase_     :       Dict,			UpperCamelCase_     :       Any)	->						int:
   '''simple docstring'''


   return hf_private_dataset_repo_zipped_txt_data_




@pytest.fixture(scope="session")
def   _A  (  UpperCamelCase_     :       HfApi,			UpperCamelCase_     :       List[str],			UpperCamelCase_     :       List[str])	->						List[Any]:
   '''simple docstring'''


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




@pytest.fixture()
def   _A  (  UpperCamelCase_     :       Union[str, Any],			UpperCamelCase_     :       List[str],			UpperCamelCase_     :       List[str])	->						str:
   '''simple docstring'''


   return hf_private_dataset_repo_zipped_img_data_




