
'''simple docstring'''







import time
from contextlib import contextmanager
from pathlib import Path

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


lowercase    :							Dict      =					"__DUMMY_TRANSFORMERS_USER__"
lowercase    :							Union[str, Any]      =					"Dummy User"
lowercase    :							List[Any]      =					"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"

lowercase    :							List[str]      =					"https://hub-ci.huggingface.co"
lowercase    :							Optional[Any]      =					CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}"
lowercase    :							str      =					CI_HUB_ENDPOINT + "/{repo_id}/resolve/{revision}/{filename}"
lowercase    :							str      =					Path("~/.huggingface/hub_ci_token").expanduser()







@pytest.fixture
def 				SCREAMING_SNAKE_CASE__	(   __A	)       ->	Any:
	monkeypatch.setattr(
	    'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'			,				__A	)







@pytest.fixture
def 				SCREAMING_SNAKE_CASE__	(   __A	)       ->	int:
	monkeypatch.setattr('datasets.config.HF_ENDPOINT'			,				__A	)
	monkeypatch.setattr('datasets.config.HUB_DATASETS_URL'			,				__A	)







@pytest.fixture
def 				SCREAMING_SNAKE_CASE__	(   __A	)       ->	Tuple:
	monkeypatch.setattr('huggingface_hub.hf_api.HfFolder.path_token'			,				__A	)







@pytest.fixture
def 				SCREAMING_SNAKE_CASE__	(   __A			,				__A	)       ->	Tuple:
	HfFolder.save_token(__A	)
	yield
	HfFolder.delete_token()







@pytest.fixture(scope='session'	)
def 				SCREAMING_SNAKE_CASE__	(   )       ->	Optional[Any]:
	return HfApi(endpoint=__A	)







@pytest.fixture(scope='session'	)
def 				SCREAMING_SNAKE_CASE__	(   __A	)       ->	int:
	_snake_case   						=		HfFolder.get_token()
	HfFolder.save_token(__A	)
	yield CI_HUB_USER_TOKEN
	if previous_token is not None:
		HfFolder.save_token(__A	)







@pytest.fixture
def 				SCREAMING_SNAKE_CASE__	(   __A	)       ->	Dict:
	def _cleanup_repo(__A	):
		hf_api.delete_repo(__A			,				token=__A			,				repo_type='dataset'	)

	return _cleanup_repo







@pytest.fixture
def 				SCREAMING_SNAKE_CASE__	(   __A	)       ->	List[str]:
	@contextmanager
	def _temporary_repo(__A	):
		try:
			yield repo_id
		finally:
			cleanup_repo(__A	)

	return _temporary_repo







@pytest.fixture(scope='session'	)
def 				SCREAMING_SNAKE_CASE__	(   __A			,				__A			,				__A	)       ->	Any:
	_snake_case   						=		F'repo_txt_data-{int(time.time() * 10e3	)}'
	_snake_case   						=		F'{CI_HUB_USER}/{repo_name}'
	hf_api.create_repo(__A			,				token=__A			,				repo_type='dataset'			,				private=__A	)
	hf_api.upload_file(
	    token=__A			,				path_or_fileobj=str(__A	)			,				path_in_repo='data/text_data.txt'			,				repo_id=__A			,				repo_type='dataset'			,				)
	yield repo_id
	try:
		hf_api.delete_repo(__A			,				token=__A			,				repo_type='dataset'	)
	except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
		pass







@pytest.fixture()
def 				SCREAMING_SNAKE_CASE__	(   __A			,				__A			,				__A	)       ->	Union[str, Any]:
	return hf_private_dataset_repo_txt_data_







@pytest.fixture(scope='session'	)
def 				SCREAMING_SNAKE_CASE__	(   __A			,				__A			,				__A	)       ->	str:
	_snake_case   						=		F'repo_zipped_txt_data-{int(time.time() * 10e3	)}'
	_snake_case   						=		F'{CI_HUB_USER}/{repo_name}'
	hf_api.create_repo(__A			,				token=__A			,				repo_type='dataset'			,				private=__A	)
	hf_api.upload_file(
	    token=__A			,				path_or_fileobj=str(__A	)			,				path_in_repo='data.zip'			,				repo_id=__A			,				repo_type='dataset'			,				)
	yield repo_id
	try:
		hf_api.delete_repo(__A			,				token=__A			,				repo_type='dataset'	)
	except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
		pass







@pytest.fixture()
def 				SCREAMING_SNAKE_CASE__	(   __A			,				__A			,				__A	)       ->	Tuple:
	return hf_private_dataset_repo_zipped_txt_data_







@pytest.fixture(scope='session'	)
def 				SCREAMING_SNAKE_CASE__	(   __A			,				__A			,				__A	)       ->	str:
	_snake_case   						=		F'repo_zipped_img_data-{int(time.time() * 10e3	)}'
	_snake_case   						=		F'{CI_HUB_USER}/{repo_name}'
	hf_api.create_repo(__A			,				token=__A			,				repo_type='dataset'			,				private=__A	)
	hf_api.upload_file(
	    token=__A			,				path_or_fileobj=str(__A	)			,				path_in_repo='data.zip'			,				repo_id=__A			,				repo_type='dataset'			,				)
	yield repo_id
	try:
		hf_api.delete_repo(__A			,				token=__A			,				repo_type='dataset'	)
	except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
		pass







@pytest.fixture()
def 				SCREAMING_SNAKE_CASE__	(   __A			,				__A			,				__A	)       ->	Optional[int]:
	return hf_private_dataset_repo_zipped_img_data_






from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available() and is_transformers_version(">=", "4.25.0")):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import (
						    VersatileDiffusionDualGuidedPipeline,
						    VersatileDiffusionImageVariationPipeline,
						    VersatileDiffusionPipeline,
						    VersatileDiffusionTextToImagePipeline,
						)
else:
						from .modeling_text_unet import UNetFlatConditionModel
						from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
						from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
						from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
						from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline
