

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      snake_case_				(__A					:						Optional[int]					)      ->     Tuple:
   monkeypatch.setattr(
       """huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE""" ,       __A					)





@pytest.fixture
def      snake_case_				(__A					:						Any					)      ->     Dict:
   monkeypatch.setattr("""datasets.config.HF_ENDPOINT""" ,       __A					)
   monkeypatch.setattr("""datasets.config.HUB_DATASETS_URL""" ,       __A					)





@pytest.fixture
def      snake_case_				(__A					:						int					)      ->     List[str]:
   monkeypatch.setattr("""huggingface_hub.hf_api.HfFolder.path_token""" ,       __A					)





@pytest.fixture
def      snake_case_				(__A					:						Optional[Any] ,       __A					:						List[str]					)      ->     Dict:
   HfFolder.save_token(__A					)
   yield
   HfFolder.delete_token()





@pytest.fixture(scope="""session"""					)
def      snake_case_				()      ->     Dict:
   return HfApi(endpoint=__A					)





@pytest.fixture(scope="""session"""					)
def      snake_case_				(__A					:						HfApi					)      ->     Optional[Any]:
   __lowerCAmelCase  :      Dict    =						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      snake_case_				(__A					:						str					)      ->     Any:
   def _cleanup_repo(__A					:						Any					):
      hf_api.delete_repo(__A ,       token=__A ,       repo_type="""dataset"""					)

   return _cleanup_repo





@pytest.fixture
def      snake_case_				(__A					:						Optional[int]					)      ->     Union[str, Any]:
   @contextmanager
   def _temporary_repo(__A					:						str					):
      try:
         yield repo_id
      finally:
         cleanup_repo(__A					)

   return _temporary_repo





@pytest.fixture(scope="""session"""					)
def      snake_case_				(__A					:						HfApi ,       __A					:						Tuple ,       __A					:						Optional[int]					)      ->     List[str]:
   __lowerCAmelCase  :      str    =						f'''repo_txt_data-{int(time.time() * 10e3					)}'''
   __lowerCAmelCase  :      int    =						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      snake_case_				(__A					:						int ,       __A					:						List[Any] ,       __A					:						Dict					)      ->     Tuple:
   return hf_private_dataset_repo_txt_data_





@pytest.fixture(scope="""session"""					)
def      snake_case_				(__A					:						HfApi ,       __A					:						Tuple ,       __A					:						Tuple					)      ->     int:
   __lowerCAmelCase  :      Union[str, Any]    =						f'''repo_zipped_txt_data-{int(time.time() * 10e3					)}'''
   __lowerCAmelCase  :      Any    =						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      snake_case_				(__A					:						List[str] ,       __A					:						Optional[Any] ,       __A					:						Optional[int]					)      ->     int:
   return hf_private_dataset_repo_zipped_txt_data_





@pytest.fixture(scope="""session"""					)
def      snake_case_				(__A					:						HfApi ,       __A					:						Any ,       __A					:						Union[str, Any]					)      ->     List[Any]:
   __lowerCAmelCase  :      Dict    =						f'''repo_zipped_img_data-{int(time.time() * 10e3					)}'''
   __lowerCAmelCase  :      str    =						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      snake_case_				(__A					:						Union[str, Any] ,       __A					:						Optional[Any] ,       __A					:						Any					)      ->     Optional[int]:
   return hf_private_dataset_repo_zipped_img_data_





import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


__UpperCAmelCase								=			logging.get_logger(__name__)



class SCREAMING_SNAKE_CASE     (  a_			):
  """simple docstring"""






  def __init__(      self			:   Optional[Any]	,							*lowerCAmelCase			:   int	,							**lowerCAmelCase			:   Optional[int]   )							->     None:






     """simple docstring"""







     warnings.warn(
         """The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
         """ use GLPNImageProcessor instead."""	,							lowerCAmelCase	,							)
     super().__init__(*lowerCAmelCase	,							**lowerCAmelCase   )


