
import time
from contextlib import contextmanager
from pathlib import Path

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


UpperCamelCase_   	=	"__DUMMY_TRANSFORMERS_USER__"
UpperCamelCase_   	=	"Dummy User"
UpperCamelCase_   	=	"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"

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






@pytest.fixture
def 		_UpperCAmelCase   (	UpperCamelCase:     Tuple  ):






 """simple docstring"""


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






@pytest.fixture
def 		_UpperCAmelCase   (	UpperCamelCase:     Optional[Any]  ):






 """simple docstring"""


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






@pytest.fixture
def 		_UpperCAmelCase   (	UpperCamelCase:     Optional[int]  ):






 """simple docstring"""


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






@pytest.fixture
def 		_UpperCAmelCase   (	UpperCamelCase:     Optional[Any]			,							UpperCamelCase:     int  ):






 """simple docstring"""


 HfFolder.save_token(lowerCamelCase__  )
 yield
 HfFolder.delete_token()






@pytest.fixture(scope="session"  )
def 		_UpperCAmelCase   (	):






 """simple docstring"""


 return HfApi(endpoint=lowerCamelCase__  )






@pytest.fixture(scope="session"  )
def 		_UpperCAmelCase   (	UpperCamelCase:     List[Any]  ):






 """simple docstring"""


 __lowerCAmelCase         =							HfFolder.get_token()
 HfFolder.save_token(lowerCamelCase__  )
 yield CI_HUB_USER_TOKEN
 if previous_token is not None:
  HfFolder.save_token(lowerCamelCase__  )






@pytest.fixture
def 		_UpperCAmelCase   (	UpperCamelCase:     Union[str, Any]  ):






 """simple docstring"""


 def _cleanup_repo(UpperCamelCase:     Tuple  ):
  hf_api.delete_repo(lowerCamelCase__			,							token=lowerCamelCase__			,							repo_type="dataset"  )

 return _cleanup_repo






@pytest.fixture
def 		_UpperCAmelCase   (	UpperCamelCase:     Union[str, Any]  ):






 """simple docstring"""


 @contextmanager
 def _temporary_repo(UpperCamelCase:     Optional[Any]  ):
  try:
   yield repo_id
  finally:
   cleanup_repo(lowerCamelCase__  )

 return _temporary_repo






@pytest.fixture(scope="session"  )
def 		_UpperCAmelCase   (	UpperCamelCase:     int			,							UpperCamelCase:     Tuple			,							UpperCamelCase:     List[Any]  ):






 """simple docstring"""


 __lowerCAmelCase         =							F"repo_txt_data-{int(time.time() * 10e3  )}"
 __lowerCAmelCase         =							F"{CI_HUB_USER}/{repo_name}"
 hf_api.create_repo(lowerCamelCase__			,							token=lowerCamelCase__			,							repo_type="dataset"			,							private=lowerCamelCase__  )
 hf_api.upload_file(
     token=lowerCamelCase__			,							path_or_fileobj=str(lowerCamelCase__  )			,							path_in_repo="data/text_data.txt"			,							repo_id=lowerCamelCase__			,							repo_type="dataset"			,							)
 yield repo_id
 try:
  hf_api.delete_repo(lowerCamelCase__			,							token=lowerCamelCase__			,							repo_type="dataset"  )
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass






@pytest.fixture()
def 		_UpperCAmelCase   (	UpperCamelCase:     str			,							UpperCamelCase:     Optional[int]			,							UpperCamelCase:     int  ):






 """simple docstring"""


 return hf_private_dataset_repo_txt_data_






@pytest.fixture(scope="session"  )
def 		_UpperCAmelCase   (	UpperCamelCase:     int			,							UpperCamelCase:     Union[str, Any]			,							UpperCamelCase:     Dict  ):






 """simple docstring"""


 __lowerCAmelCase         =							F"repo_zipped_txt_data-{int(time.time() * 10e3  )}"
 __lowerCAmelCase         =							F"{CI_HUB_USER}/{repo_name}"
 hf_api.create_repo(lowerCamelCase__			,							token=lowerCamelCase__			,							repo_type="dataset"			,							private=lowerCamelCase__  )
 hf_api.upload_file(
     token=lowerCamelCase__			,							path_or_fileobj=str(lowerCamelCase__  )			,							path_in_repo="data.zip"			,							repo_id=lowerCamelCase__			,							repo_type="dataset"			,							)
 yield repo_id
 try:
  hf_api.delete_repo(lowerCamelCase__			,							token=lowerCamelCase__			,							repo_type="dataset"  )
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass






@pytest.fixture()
def 		_UpperCAmelCase   (	UpperCamelCase:     Optional[Any]			,							UpperCamelCase:     str			,							UpperCamelCase:     Tuple  ):






 """simple docstring"""


 return hf_private_dataset_repo_zipped_txt_data_






@pytest.fixture(scope="session"  )
def 		_UpperCAmelCase   (	UpperCamelCase:     Any			,							UpperCamelCase:     Union[str, Any]			,							UpperCamelCase:     Union[str, Any]  ):






 """simple docstring"""


 __lowerCAmelCase         =							F"repo_zipped_img_data-{int(time.time() * 10e3  )}"
 __lowerCAmelCase         =							F"{CI_HUB_USER}/{repo_name}"
 hf_api.create_repo(lowerCamelCase__			,							token=lowerCamelCase__			,							repo_type="dataset"			,							private=lowerCamelCase__  )
 hf_api.upload_file(
     token=lowerCamelCase__			,							path_or_fileobj=str(lowerCamelCase__  )			,							path_in_repo="data.zip"			,							repo_id=lowerCamelCase__			,							repo_type="dataset"			,							)
 yield repo_id
 try:
  hf_api.delete_repo(lowerCamelCase__			,							token=lowerCamelCase__			,							repo_type="dataset"  )
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass







@pytest.fixture()
def 		_UpperCAmelCase   (	UpperCamelCase:     Any			,							UpperCamelCase:     Union[str, Any]			,							UpperCamelCase:     List[str]  ):






 """simple docstring"""


 return hf_private_dataset_repo_zipped_img_data_








# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    "pipelines_utils",
    "0.22.0",
    "Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.",
    standard_warn=False,
    stacklevel=3,
)






