






'''simple docstring'''







from ...configuration_utils import PretrainedConfig





class 						SCREAMING_SNAKE_CASE       (       SCREAMING_SNAKE_CASE_							):
			snake_case__	=					"bert-generation"






			def __init__(			self   :      List[Any]	,    __SCREAMING_SNAKE_CASE   :      Dict=5_0358	,    __SCREAMING_SNAKE_CASE   :      str=1024	,    __SCREAMING_SNAKE_CASE   :      Dict=24	,    __SCREAMING_SNAKE_CASE   :      Optional[int]=16	,    __SCREAMING_SNAKE_CASE   :      Any=4096	,    __SCREAMING_SNAKE_CASE   :      str="gelu"	,    __SCREAMING_SNAKE_CASE   :      int=0.1	,    __SCREAMING_SNAKE_CASE   :      int=0.1	,    __SCREAMING_SNAKE_CASE   :      str=512	,    __SCREAMING_SNAKE_CASE   :      Union[str, Any]=0.02	,    __SCREAMING_SNAKE_CASE   :      Optional[int]=1e-12	,    __SCREAMING_SNAKE_CASE   :      Any=0	,    __SCREAMING_SNAKE_CASE   :      str=2	,    __SCREAMING_SNAKE_CASE   :      Any=1	,    __SCREAMING_SNAKE_CASE   :      Tuple="absolute"	,    __SCREAMING_SNAKE_CASE   :      List[str]=True	,    **__SCREAMING_SNAKE_CASE   :      Tuple	,    )      ->      int:
							super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE	,    bos_token_id=__SCREAMING_SNAKE_CASE	,    eos_token_id=__SCREAMING_SNAKE_CASE	,    **__SCREAMING_SNAKE_CASE       )

							a_		:	Optional[Any]									=   vocab_size
							a_		:	Optional[int]									=   hidden_size
							a_		:	int									=   num_hidden_layers
							a_		:	Any									=   num_attention_heads
							a_		:	Optional[Any]									=   hidden_act
							a_		:	Optional[Any]									=   intermediate_size
							a_		:	Dict									=   hidden_dropout_prob
							a_		:	Tuple									=   attention_probs_dropout_prob
							a_		:	Optional[int]									=   max_position_embeddings
							a_		:	Tuple									=   initializer_range
							a_		:	List[str]									=   layer_norm_eps
							a_		:	Optional[Any]									=   position_embedding_type
							a_		:	Dict									=   use_cache












'''simple docstring'''







import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout





def 		_UpperCAmelCase (				__A				: int   ):
				a_		:	Optional[Any]									=   FileLock(str(tmpdir / '''foo.lock'''   )   )
				a_		:	Union[str, Any]									=   FileLock(str(tmpdir / '''foo.lock'''   )   )
				a_		:	List[Any]									=   0.01
				with locka.acquire():
								with pytest.raises(__A   ):
												a_		:	List[Any]									=   time.time()
												locka.acquire(__A   )
												assert time.time() - _start > timeout





def 		_UpperCAmelCase (				__A				: Tuple   ):
				a_		:	Tuple									=   '''a''' * 10_00 + '''.lock'''
				a_		:	List[Any]									=   FileLock(str(tmpdir / filename   )   )
				assert locka._lock_file.endswith('''.lock'''   )
				assert not locka._lock_file.endswith(__A   )
				assert len(os.path.basename(locka._lock_file   )   ) <= 2_55
				a_		:	Optional[int]									=   FileLock(tmpdir / filename   )
				with locka.acquire():
								with pytest.raises(__A   ):
												locka.acquire(0   )




