import time
from contextlib import contextmanager
from pathlib import Path

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


_lowerCAmelCase 				=     """__DUMMY_TRANSFORMERS_USER__"""
_lowerCAmelCase 				=     """Dummy User"""
_lowerCAmelCase 				=     """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"""

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



@pytest.fixture
def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


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



@pytest.fixture
def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


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



@pytest.fixture
def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


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



@pytest.fixture
def     _lowerCAmelCase		(  _lowerCAmelCase  ,_lowerCAmelCase     ):
   '''simple docstring'''


   HfFolder.save_token(_lowerCAmelCase     )
   yield
   HfFolder.delete_token()



@pytest.fixture(scope="""session"""     )
def     _lowerCAmelCase		(  ):
   '''simple docstring'''


   return HfApi(endpoint=_lowerCAmelCase     )



@pytest.fixture(scope="""session"""     )
def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


   A_     :				Union[str, 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     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


   def _cleanup_repo(_lowerCAmelCase     ):
      hf_api.delete_repo(_lowerCAmelCase  ,token=_lowerCAmelCase  ,repo_type="""dataset"""     )

   return _cleanup_repo



@pytest.fixture
def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


   @contextmanager
   def _temporary_repo(_lowerCAmelCase     ):
      try:
         yield repo_id
      finally:
         cleanup_repo(_lowerCAmelCase     )

   return _temporary_repo



@pytest.fixture(scope="""session"""     )
def     _lowerCAmelCase		(  _lowerCAmelCase  ,_lowerCAmelCase  ,_lowerCAmelCase     ):
   '''simple docstring'''


   A_     :				Any			      =	f"""repo_txt_data-{int(time.time() * 10e3     )}"""
   A_     :				Optional[int]			      =	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     _lowerCAmelCase		(  _lowerCAmelCase  ,_lowerCAmelCase  ,_lowerCAmelCase     ):
   '''simple docstring'''


   return hf_private_dataset_repo_txt_data_



@pytest.fixture(scope="""session"""     )
def     _lowerCAmelCase		(  _lowerCAmelCase  ,_lowerCAmelCase  ,_lowerCAmelCase     ):
   '''simple docstring'''


   A_     :				Any			      =	f"""repo_zipped_txt_data-{int(time.time() * 10e3     )}"""
   A_     :				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     _lowerCAmelCase		(  _lowerCAmelCase  ,_lowerCAmelCase  ,_lowerCAmelCase     ):
   '''simple docstring'''


   return hf_private_dataset_repo_zipped_txt_data_



@pytest.fixture(scope="""session"""     )
def     _lowerCAmelCase		(  _lowerCAmelCase  ,_lowerCAmelCase  ,_lowerCAmelCase     ):
   '''simple docstring'''


   A_     :				Optional[Any]			      =	f"""repo_zipped_img_data-{int(time.time() * 10e3     )}"""
   A_     :				Optional[int]			      =	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     _lowerCAmelCase		(  _lowerCAmelCase  ,_lowerCAmelCase  ,_lowerCAmelCase     ):
   '''simple docstring'''


   return hf_private_dataset_repo_zipped_img_data_













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCAmelCase 				=     {
    """configuration_nllb_moe""": [
        """NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """NllbMoeConfig""",
    ]
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _lowerCAmelCase 				=     [
          """NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """NllbMoeForConditionalGeneration""",
          """NllbMoeModel""",
          """NllbMoePreTrainedModel""",
          """NllbMoeTop2Router""",
          """NllbMoeSparseMLP""",
      ]


if TYPE_CHECKING:
      from .configuration_nllb_moe import (
          NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP,
          NllbMoeConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_nllb_moe import (
                NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
                NllbMoeForConditionalGeneration,
                NllbMoeModel,
                NllbMoePreTrainedModel,
                NllbMoeSparseMLP,
                NllbMoeTopaRouter,
            )


else:
      import sys

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






