





import time
from contextlib import contextmanager
from pathlib import Path

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


_A :   int  			=  '__DUMMY_TRANSFORMERS_USER__'
_A :   List[Any]  			=  'Dummy User'
_A :   Optional[Any]  			=  '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'

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



@pytest.fixture
def 	_a						(   UpperCAmelCase					)    ->    Union[str, Any]:







   """simple docstring"""
   monkeypatch.setattr(
       '''huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'''      ,  UpperCAmelCase					)



@pytest.fixture
def 	_a						(   UpperCAmelCase					)    ->    Optional[int]:







   """simple docstring"""
   monkeypatch.setattr('''datasets.config.HF_ENDPOINT'''      ,  UpperCAmelCase					)
   monkeypatch.setattr('''datasets.config.HUB_DATASETS_URL'''      ,  UpperCAmelCase					)



@pytest.fixture
def 	_a						(   UpperCAmelCase					)    ->    Tuple:







   """simple docstring"""
   monkeypatch.setattr('''huggingface_hub.hf_api.HfFolder.path_token'''      ,  UpperCAmelCase					)



@pytest.fixture
def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase					)    ->    Any:







   """simple docstring"""
   HfFolder.save_token(UpperCAmelCase					)
   yield
   HfFolder.delete_token()



@pytest.fixture(scope='''session'''					)
def 	_a						(   )    ->    Dict:







   """simple docstring"""
   return HfApi(endpoint=UpperCAmelCase					)



@pytest.fixture(scope='''session'''					)
def 	_a						(   UpperCAmelCase					)    ->    Dict:







   """simple docstring"""
   lowerCamelCase__       :						int        =							HfFolder.get_token()
   HfFolder.save_token(UpperCAmelCase					)
   yield CI_HUB_USER_TOKEN
   if previous_token is not None:
      HfFolder.save_token(UpperCAmelCase					)



@pytest.fixture
def 	_a						(   UpperCAmelCase					)    ->    Tuple:







   """simple docstring"""
   def _cleanup_repo(UpperCAmelCase					):
      hf_api.delete_repo(UpperCAmelCase      ,  token=UpperCAmelCase      ,  repo_type='''dataset'''					)

   return _cleanup_repo



@pytest.fixture
def 	_a						(   UpperCAmelCase					)    ->    Dict:







   """simple docstring"""
   @contextmanager
   def _temporary_repo(UpperCAmelCase					):
      try:
         yield repo_id
      finally:
         cleanup_repo(UpperCAmelCase					)

   return _temporary_repo



@pytest.fixture(scope='''session'''					)
def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase      ,  UpperCAmelCase					)    ->    Optional[Any]:







   """simple docstring"""
   lowerCamelCase__       :						List[Any]        =							f"repo_txt_data-{int(time.time() * 1_0E3					)}"
   lowerCamelCase__       :						Tuple        =							f"{CI_HUB_USER}/{repo_name}"
   hf_api.create_repo(UpperCAmelCase      ,  token=UpperCAmelCase      ,  repo_type='''dataset'''      ,  private=UpperCAmelCase					)
   hf_api.upload_file(
       token=UpperCAmelCase      ,  path_or_fileobj=str(UpperCAmelCase					)      ,  path_in_repo='''data/text_data.txt'''      ,  repo_id=UpperCAmelCase      ,  repo_type='''dataset'''      ,  )
   yield repo_id
   try:
      hf_api.delete_repo(UpperCAmelCase      ,  token=UpperCAmelCase      ,  repo_type='''dataset'''					)
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass



@pytest.fixture()
def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase      ,  UpperCAmelCase					)    ->    Tuple:







   """simple docstring"""
   return hf_private_dataset_repo_txt_data_



@pytest.fixture(scope='''session'''					)
def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase      ,  UpperCAmelCase					)    ->    Union[str, Any]:







   """simple docstring"""
   lowerCamelCase__       :						Any        =							f"repo_zipped_txt_data-{int(time.time() * 1_0E3					)}"
   lowerCamelCase__       :						Tuple        =							f"{CI_HUB_USER}/{repo_name}"
   hf_api.create_repo(UpperCAmelCase      ,  token=UpperCAmelCase      ,  repo_type='''dataset'''      ,  private=UpperCAmelCase					)
   hf_api.upload_file(
       token=UpperCAmelCase      ,  path_or_fileobj=str(UpperCAmelCase					)      ,  path_in_repo='''data.zip'''      ,  repo_id=UpperCAmelCase      ,  repo_type='''dataset'''      ,  )
   yield repo_id
   try:
      hf_api.delete_repo(UpperCAmelCase      ,  token=UpperCAmelCase      ,  repo_type='''dataset'''					)
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass



@pytest.fixture()
def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase      ,  UpperCAmelCase					)    ->    Dict:







   """simple docstring"""
   return hf_private_dataset_repo_zipped_txt_data_



@pytest.fixture(scope='''session'''					)
def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase      ,  UpperCAmelCase					)    ->    Tuple:







   """simple docstring"""
   lowerCamelCase__       :						Dict        =							f"repo_zipped_img_data-{int(time.time() * 1_0E3					)}"
   lowerCamelCase__       :						int        =							f"{CI_HUB_USER}/{repo_name}"
   hf_api.create_repo(UpperCAmelCase      ,  token=UpperCAmelCase      ,  repo_type='''dataset'''      ,  private=UpperCAmelCase					)
   hf_api.upload_file(
       token=UpperCAmelCase      ,  path_or_fileobj=str(UpperCAmelCase					)      ,  path_in_repo='''data.zip'''      ,  repo_id=UpperCAmelCase      ,  repo_type='''dataset'''      ,  )
   yield repo_id
   try:
      hf_api.delete_repo(UpperCAmelCase      ,  token=UpperCAmelCase      ,  repo_type='''dataset'''					)
   except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
      pass




@pytest.fixture()
def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase      ,  UpperCAmelCase					)    ->    str:







   """simple docstring"""
   return hf_private_dataset_repo_zipped_img_data_













from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A :   Any  			=  logging.get_logger(__name__)

_A :   int  			=  {
    'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/resolve/main/config.json',
}


class        __SCREAMING_SNAKE_CASE      (			lowerCAmelCase_ ):
       _UpperCAmelCase				:  Dict			   =   "timesformer"







       def __init__(				self					:     List[str]		, A					:     int=2_2_4		, A					:     Optional[Any]=1_6		, A					:     str=3		, A					:     str=8		, A					:     Any=7_6_8		, A					:     Dict=1_2		, A					:     Optional[Any]=1_2		, A					:     Any=3_0_7_2		, A					:     str="gelu"		, A					:     Optional[int]=0.0		, A					:     Union[str, Any]=0.0		, A					:     List[Any]=0.02		, A					:     int=1e-6		, A					:     Tuple=True		, A					:     Any="divided_space_time"		, A					:     Optional[Any]=0		, **A					:     Tuple		, )       ->str:
          super().__init__(**A      )

          lowerCamelCase__       :						Optional[Any]        =							image_size
          lowerCamelCase__       :						int        =							patch_size
          lowerCamelCase__       :						Any        =							num_channels
          lowerCamelCase__       :						Optional[int]        =							num_frames

          lowerCamelCase__       :						Optional[Any]        =							hidden_size
          lowerCamelCase__       :						Optional[int]        =							num_hidden_layers
          lowerCamelCase__       :						Optional[int]        =							num_attention_heads
          lowerCamelCase__       :						Dict        =							intermediate_size
          lowerCamelCase__       :						Optional[Any]        =							hidden_act
          lowerCamelCase__       :						Union[str, Any]        =							hidden_dropout_prob
          lowerCamelCase__       :						Dict        =							attention_probs_dropout_prob
          lowerCamelCase__       :						List[Any]        =							initializer_range
          lowerCamelCase__       :						str        =							layer_norm_eps
          lowerCamelCase__       :						Union[str, Any]        =							qkv_bias

          lowerCamelCase__       :						str        =							attention_type
          lowerCamelCase__       :						List[str]        =							drop_path_rate



