
import time
from contextlib import contextmanager
from pathlib import Path

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


lowerCamelCase_						: Tuple         =  """__DUMMY_TRANSFORMERS_USER__"""
lowerCamelCase_						: List[Any]         =  """Dummy User"""
lowerCamelCase_						: Optional[int]         =  """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"""

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







@pytest.fixture
def        A__					(						lowerCamelCase						)  ->	int:
				monkeypatch.setattr(
				    """huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"""     ,    lowerCamelCase						)







@pytest.fixture
def        A__					(						lowerCamelCase						)  ->	List[Any]:
				monkeypatch.setattr("""datasets.config.HF_ENDPOINT"""     ,    lowerCamelCase						)
				monkeypatch.setattr("""datasets.config.HUB_DATASETS_URL"""     ,    lowerCamelCase						)







@pytest.fixture
def        A__					(						lowerCamelCase						)  ->	List[Any]:
				monkeypatch.setattr("""huggingface_hub.hf_api.HfFolder.path_token"""     ,    lowerCamelCase						)







@pytest.fixture
def        A__					(						lowerCamelCase     ,    lowerCamelCase						)  ->	Dict:
				HfFolder.save_token(lowerCamelCase						)
				yield
				HfFolder.delete_token()







@pytest.fixture(scope="""session"""						)
def        A__					(						)  ->	Any:
				return HfApi(endpoint=lowerCamelCase						)







@pytest.fixture(scope="""session"""						)
def        A__					(						lowerCamelCase						)  ->	Any:
				UpperCamelCase_:							Optional[int]	=						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        A__					(						lowerCamelCase						)  ->	Dict:
				def _cleanup_repo(lowerCamelCase						):
								hf_api.delete_repo(lowerCamelCase     ,    token=lowerCamelCase     ,    repo_type="""dataset"""						)

				return _cleanup_repo







@pytest.fixture
def        A__					(						lowerCamelCase						)  ->	int:
				@contextmanager
				def _temporary_repo(lowerCamelCase						):
								try:
												yield repo_id
								finally:
												cleanup_repo(lowerCamelCase						)

				return _temporary_repo







@pytest.fixture(scope="""session"""						)
def        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	str:
				UpperCamelCase_:							str	=						F'''repo_txt_data-{int(time.time() * 1_0E3						)}'''
				UpperCamelCase_:							Dict	=						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        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	Tuple:
				return hf_private_dataset_repo_txt_data_







@pytest.fixture(scope="""session"""						)
def        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	Tuple:
				UpperCamelCase_:							Optional[Any]	=						F'''repo_zipped_txt_data-{int(time.time() * 1_0E3						)}'''
				UpperCamelCase_:							Tuple	=						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        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	List[str]:
				return hf_private_dataset_repo_zipped_txt_data_







@pytest.fixture(scope="""session"""						)
def        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	List[Any]:
				UpperCamelCase_:							Any	=						F'''repo_zipped_img_data-{int(time.time() * 1_0E3						)}'''
				UpperCamelCase_:							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        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	Any:
				return hf_private_dataset_repo_zipped_img_data_








# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase_						: List[str]         =  {
    """configuration_mgp_str""": ["""MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MgpstrConfig"""],
    """processing_mgp_str""": ["""MgpstrProcessor"""],
    """tokenization_mgp_str""": ["""MgpstrTokenizer"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCamelCase_						: Optional[Any]         =  [
							    """MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MgpstrModel""",
							    """MgpstrPreTrainedModel""",
							    """MgpstrForSceneTextRecognition""",
							]

if TYPE_CHECKING:
							from .configuration_mgp_str import MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP, MgpstrConfig
							from .processing_mgp_str import MgpstrProcessor
							from .tokenization_mgp_str import MgpstrTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mgp_str import (
														    MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MgpstrForSceneTextRecognition,
														    MgpstrModel,
														    MgpstrPreTrainedModel,
														)
else:
							import sys

							lowerCamelCase_						: int         =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






