
import time
from contextlib import contextmanager
from pathlib import Path

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


_lowerCamelCase	:    int          =      '''__DUMMY_TRANSFORMERS_USER__'''
_lowerCamelCase	:    Any          =      '''Dummy User'''
_lowerCamelCase	:    List[Any]          =      '''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'''

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






@pytest.fixture
def 	a_		(	__lowercase       :     List[Any]			)			->  str:
			monkeypatch.setattr(
			    'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'	, __lowercase			)






@pytest.fixture
def 	a_		(	__lowercase       :     List[str]			)			->  Tuple:
			monkeypatch.setattr('datasets.config.HF_ENDPOINT'	, __lowercase			)
			monkeypatch.setattr('datasets.config.HUB_DATASETS_URL'	, __lowercase			)






@pytest.fixture
def 	a_		(	__lowercase       :     Optional[Any]			)			->  Tuple:
			monkeypatch.setattr('huggingface_hub.hf_api.HfFolder.path_token'	, __lowercase			)






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






@pytest.fixture(scope='session'			)
def 	a_		(	)			->  Optional[int]:
			return HfApi(endpoint=__lowercase			)






@pytest.fixture(scope='session'			)
def 	a_		(	__lowercase       :     HfApi			)			->  List[Any]:
			_snake_case          =      HfFolder.get_token()
			HfFolder.save_token(__lowercase			)
			yield CI_HUB_USER_TOKEN
			if previous_token is not None:
						HfFolder.save_token(__lowercase			)






@pytest.fixture
def 	a_		(	__lowercase       :     Any			)			->  List[Any]:
			def _cleanup_repo(__lowercase       :     str			):
						hf_api.delete_repo(__lowercase	, token=__lowercase	, repo_type='dataset'			)

			return _cleanup_repo






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

			return _temporary_repo






@pytest.fixture(scope='session'			)
def 	a_		(	__lowercase       :     HfApi	, __lowercase       :     str	, __lowercase       :     Tuple			)			->  Optional[int]:
			_snake_case          =      f'''repo_txt_data-{int(time.time() * 10E3			)}'''
			_snake_case          =      f'''{CI_HUB_USER}/{repo_name}'''
			hf_api.create_repo(__lowercase	, token=__lowercase	, repo_type='dataset'	, private=__lowercase			)
			hf_api.upload_file(
			    token=__lowercase	, path_or_fileobj=str(__lowercase			)	, path_in_repo='data/text_data.txt'	, repo_id=__lowercase	, repo_type='dataset'	, )
			yield repo_id
			try:
						hf_api.delete_repo(__lowercase	, token=__lowercase	, repo_type='dataset'			)
			except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
						pass






@pytest.fixture()
def 	a_		(	__lowercase       :     Optional[int]	, __lowercase       :     Union[str, Any]	, __lowercase       :     Optional[Any]			)			->  Dict:
			return hf_private_dataset_repo_txt_data_






@pytest.fixture(scope='session'			)
def 	a_		(	__lowercase       :     HfApi	, __lowercase       :     Dict	, __lowercase       :     Any			)			->  Tuple:
			_snake_case          =      f'''repo_zipped_txt_data-{int(time.time() * 10E3			)}'''
			_snake_case          =      f'''{CI_HUB_USER}/{repo_name}'''
			hf_api.create_repo(__lowercase	, token=__lowercase	, repo_type='dataset'	, private=__lowercase			)
			hf_api.upload_file(
			    token=__lowercase	, path_or_fileobj=str(__lowercase			)	, path_in_repo='data.zip'	, repo_id=__lowercase	, repo_type='dataset'	, )
			yield repo_id
			try:
						hf_api.delete_repo(__lowercase	, token=__lowercase	, repo_type='dataset'			)
			except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
						pass






@pytest.fixture()
def 	a_		(	__lowercase       :     int	, __lowercase       :     Tuple	, __lowercase       :     List[Any]			)			->  Dict:
			return hf_private_dataset_repo_zipped_txt_data_






@pytest.fixture(scope='session'			)
def 	a_		(	__lowercase       :     HfApi	, __lowercase       :     List[str]	, __lowercase       :     int			)			->  Optional[Any]:
			_snake_case          =      f'''repo_zipped_img_data-{int(time.time() * 10E3			)}'''
			_snake_case          =      f'''{CI_HUB_USER}/{repo_name}'''
			hf_api.create_repo(__lowercase	, token=__lowercase	, repo_type='dataset'	, private=__lowercase			)
			hf_api.upload_file(
			    token=__lowercase	, path_or_fileobj=str(__lowercase			)	, path_in_repo='data.zip'	, repo_id=__lowercase	, repo_type='dataset'	, )
			yield repo_id
			try:
						hf_api.delete_repo(__lowercase	, token=__lowercase	, repo_type='dataset'			)
			except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
						pass






@pytest.fixture()
def 	a_		(	__lowercase       :     Dict	, __lowercase       :     str	, __lowercase       :     Optional[int]			)			->  str:
			return hf_private_dataset_repo_zipped_img_data_

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


_lowerCamelCase	:    Tuple          =      logging.get_logger(__name__)

_lowerCamelCase	:    Union[str, Any]          =      {
    '''google/canine-s''': '''https://huggingface.co/google/canine-s/resolve/main/config.json''',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}




class        SCREAMING_SNAKE_CASE__					(     UpperCAmelCase ):





	'''simple docstring'''



	_UpperCAmelCase	:		Any          = "canine"



	def __init__(  self     :   int      ,  lowercase     :   Optional[int]=768      ,  lowercase     :   Tuple=12      ,  lowercase     :   Union[str, Any]=12      ,  lowercase     :   Optional[int]=3_072      ,  lowercase     :   Tuple="gelu"      ,  lowercase     :   Optional[Any]=0.1      ,  lowercase     :   Tuple=0.1      ,  lowercase     :   int=16_384      ,  lowercase     :   Optional[int]=16      ,  lowercase     :   Optional[int]=0.02      ,  lowercase     :   Optional[Any]=1E-12      ,  lowercase     :   Optional[Any]=0      ,  lowercase     :   Dict=0xE000      ,  lowercase     :   Optional[Any]=0xE001      ,  lowercase     :   Union[str, Any]=4      ,  lowercase     :   str=4      ,  lowercase     :   Optional[int]=8      ,  lowercase     :   List[str]=16_384      ,  lowercase     :   Union[str, Any]=128      ,  **lowercase     :   Optional[Any]      ,  ):


				'''simple docstring'''


				super().__init__(pad_token_id=lowercase      ,  bos_token_id=lowercase      ,  eos_token_id=lowercase      ,  **lowercase     )

				_snake_case          =      max_position_embeddings
				_snake_case          =      hidden_size
				_snake_case          =      num_hidden_layers
				_snake_case          =      num_attention_heads
				_snake_case          =      intermediate_size
				_snake_case          =      hidden_act
				_snake_case          =      hidden_dropout_prob
				_snake_case          =      attention_probs_dropout_prob
				_snake_case          =      initializer_range
				_snake_case          =      type_vocab_size
				_snake_case          =      layer_norm_eps

				# Character config:
				_snake_case          =      downsampling_rate
				_snake_case          =      upsampling_kernel_size
				_snake_case          =      num_hash_functions
				_snake_case          =      num_hash_buckets
				_snake_case          =      local_transformer_stride