

'''simple docstring'''







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       UpperCAmelCase__    (      UpperCAmelCase__				)			->			int:
       monkeypatch.setattr(
           """huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE""",       UpperCAmelCase__				)
@pytest.fixture
def       UpperCAmelCase__    (      UpperCAmelCase__				)			->			Tuple:
       monkeypatch.setattr("""datasets.config.HF_ENDPOINT""",       UpperCAmelCase__				)
       monkeypatch.setattr("""datasets.config.HUB_DATASETS_URL""",       UpperCAmelCase__				)
@pytest.fixture
def       UpperCAmelCase__    (      UpperCAmelCase__				)			->			str:
       monkeypatch.setattr("""huggingface_hub.hf_api.HfFolder.path_token""",       UpperCAmelCase__				)
@pytest.fixture
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__				)			->			int:
       HfFolder.save_token(UpperCAmelCase__				)
       yield
       HfFolder.delete_token()
@pytest.fixture(scope="""session"""				)
def       UpperCAmelCase__    (      )			->			Union[str, Any]:
       return HfApi(endpoint=UpperCAmelCase__				)
@pytest.fixture(scope="""session"""				)
def       UpperCAmelCase__    (      UpperCAmelCase__				)			->			Tuple:
       A_						=      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       UpperCAmelCase__    (      UpperCAmelCase__				)			->			Union[str, Any]:
       def _cleanup_repo(UpperCAmelCase__				):
              hf_api.delete_repo(UpperCAmelCase__,       token=UpperCAmelCase__,       repo_type="""dataset"""				)

       return _cleanup_repo
@pytest.fixture
def       UpperCAmelCase__    (      UpperCAmelCase__				)			->			Any:
       @contextmanager
       def _temporary_repo(UpperCAmelCase__				):
              try:
                     yield repo_id
              finally:
                     cleanup_repo(UpperCAmelCase__				)

       return _temporary_repo
@pytest.fixture(scope="""session"""				)
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			Dict:
       A_						=      F'''repo_txt_data-{int(time.time() * 10e3				)}'''
       A_						=      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       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			Dict:
       return hf_private_dataset_repo_txt_data_
@pytest.fixture(scope="""session"""				)
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			int:
       A_						=      F'''repo_zipped_txt_data-{int(time.time() * 10e3				)}'''
       A_						=      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       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			Tuple:
       return hf_private_dataset_repo_zipped_txt_data_
@pytest.fixture(scope="""session"""				)
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			Optional[Any]:
       A_						=      F'''repo_zipped_img_data-{int(time.time() * 10e3				)}'''
       A_						=      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       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			int:
       return hf_private_dataset_repo_zipped_img_data_



'''simple docstring'''







import warnings

from diffusers import StableDiffusionImgaImgPipeline  # noqa F401


warnings.warn(
    '''The `image_to_image.py` script is outdated. Please use directly `from diffusers import'''
    ''' StableDiffusionImg2ImgPipeline` instead.'''
)
