




"""simple docstring"""



import time
from contextlib import contextmanager
from pathlib import Path

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


SCREAMING_SNAKE_CASE    =	"__DUMMY_TRANSFORMERS_USER__"
SCREAMING_SNAKE_CASE    =	"Dummy User"
SCREAMING_SNAKE_CASE    =	"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"

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







@pytest.fixture
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Optional[int]:
 monkeypatch.setattr(
     "huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"      ,			lowercase_						)







@pytest.fixture
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Tuple:
 monkeypatch.setattr("datasets.config.HF_ENDPOINT"      ,			lowercase_						)
 monkeypatch.setattr("datasets.config.HUB_DATASETS_URL"      ,			lowercase_						)







@pytest.fixture
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Tuple:
 monkeypatch.setattr("huggingface_hub.hf_api.HfFolder.path_token"      ,			lowercase_						)







@pytest.fixture
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		Union[str, Any]:
 HfFolder.save_token(lowercase_						)
 yield
 HfFolder.delete_token()







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							)						->		List[Any]:
 return HfApi(endpoint=lowercase_						)







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Any:
 A__	=    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   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Union[str, Any]:
 def _cleanup_repo(lowercase_						):
  hf_api.delete_repo(lowercase_      ,			token=lowercase_      ,			repo_type="dataset"						)

 return _cleanup_repo







@pytest.fixture
def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Dict:
 @contextmanager
 def _temporary_repo(lowercase_						):
  try:
   yield repo_id
  finally:
   cleanup_repo(lowercase_						)

 return _temporary_repo







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		Dict:
 A__	=    f"""repo_txt_data-{int(time.time() * 10E3						)}"""
 A__	=    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   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		List[str]:
 return hf_private_dataset_repo_txt_data_







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		List[str]:
 A__	=    f"""repo_zipped_txt_data-{int(time.time() * 10E3						)}"""
 A__	=    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   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		int:
 return hf_private_dataset_repo_zipped_txt_data_







@pytest.fixture(scope="session"						)
def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		List[str]:
 A__	=    f"""repo_zipped_img_data-{int(time.time() * 10E3						)}"""
 A__	=    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   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_						)						->		List[Any]:
 return hf_private_dataset_repo_zipped_img_data_











"""simple docstring"""



SCREAMING_SNAKE_CASE    =	"\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

SCREAMING_SNAKE_CASE    =	[{"type": "code", "content": INSTALL_CONTENT}]
SCREAMING_SNAKE_CASE    =	{
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}





