

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        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					int:
	monkeypatch.setattr(
	    'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'     ,			lowerCamelCase__      )






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






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






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






@pytest.fixture(scope='session'      )
def        SCREAMING_SNAKE_CASE__	(  )  ->					List[str]:
	return HfApi(endpoint=lowerCamelCase__      )






@pytest.fixture(scope='session'      )
def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					Tuple:
	__lowerCamelCase    :    Optional[Any] 	=			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        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					int:
	def _cleanup_repo(lowerCamelCase__      ):
		hf_api.delete_repo(lowerCamelCase__     ,			token=lowerCamelCase__     ,			repo_type='dataset'      )

	return _cleanup_repo






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

	return _temporary_repo






@pytest.fixture(scope='session'      )
def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__     ,			lowerCamelCase__      )  ->					Dict:
	__lowerCamelCase    :    Optional[int] 	=			F"repo_txt_data-{int(time.time() * 10e3      )}"
	__lowerCamelCase    :    List[str] 	=			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        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__     ,			lowerCamelCase__      )  ->					List[Any]:
	return hf_private_dataset_repo_txt_data_






@pytest.fixture(scope='session'      )
def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__     ,			lowerCamelCase__      )  ->					str:
	__lowerCamelCase    :    int 	=			F"repo_zipped_txt_data-{int(time.time() * 10e3      )}"
	__lowerCamelCase    :    Optional[Any] 	=			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        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__     ,			lowerCamelCase__      )  ->					Optional[int]:
	return hf_private_dataset_repo_zipped_txt_data_






@pytest.fixture(scope='session'      )
def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__     ,			lowerCamelCase__      )  ->					Optional[Any]:
	__lowerCamelCase    :    Tuple 	=			F"repo_zipped_img_data-{int(time.time() * 10e3      )}"
	__lowerCamelCase    :    List[Any] 	=			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        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__     ,			lowerCamelCase__      )  ->					str:
	return hf_private_dataset_repo_zipped_img_data_







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


a		={
    """configuration_pix2struct""": [
        """PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """Pix2StructConfig""",
        """Pix2StructTextConfig""",
        """Pix2StructVisionConfig""",
    ],
    """processing_pix2struct""": ["""Pix2StructProcessor"""],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					a		=["""Pix2StructImageProcessor"""]


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					a		=[
					    """PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """Pix2StructPreTrainedModel""",
					    """Pix2StructForConditionalGeneration""",
					    """Pix2StructVisionModel""",
					    """Pix2StructTextModel""",
					]

if TYPE_CHECKING:
					from .configuration_pixastruct import (
					    PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    PixaStructConfig,
					    PixaStructTextConfig,
					    PixaStructVisionConfig,
					)
					from .processing_pixastruct import PixaStructProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_pixastruct import PixaStructImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_pixastruct import (
										    PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    PixaStructForConditionalGeneration,
										    PixaStructPreTrainedModel,
										    PixaStructTextModel,
										    PixaStructVisionModel,
										)

else:
					import sys

					a		=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




