






'''simple docstring'''







from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__lowerCAmelCase									=   logging.get_logger(__name__)





class 						SCREAMING_SNAKE_CASE       (       SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_							):
			snake_case__	=					"maskformer-swin"

			snake_case__	=					{
			    "num_attention_heads": "num_heads",
			    "num_hidden_layers": "num_layers",
			}






			def __init__(			self   :      Any	,    __SCREAMING_SNAKE_CASE   :      Tuple=224	,    __SCREAMING_SNAKE_CASE   :      Tuple=4	,    __SCREAMING_SNAKE_CASE   :      Dict=3	,    __SCREAMING_SNAKE_CASE   :      List[Any]=96	,    __SCREAMING_SNAKE_CASE   :      List[Any]=[2, 2, 6, 2]	,    __SCREAMING_SNAKE_CASE   :      Any=[3, 6, 12, 24]	,    __SCREAMING_SNAKE_CASE   :      Tuple=7	,    __SCREAMING_SNAKE_CASE   :      List[str]=4.0	,    __SCREAMING_SNAKE_CASE   :      Optional[int]=True	,    __SCREAMING_SNAKE_CASE   :      Any=0.0	,    __SCREAMING_SNAKE_CASE   :      int=0.0	,    __SCREAMING_SNAKE_CASE   :      Dict=0.1	,    __SCREAMING_SNAKE_CASE   :      List[Any]="gelu"	,    __SCREAMING_SNAKE_CASE   :      Optional[Any]=False	,    __SCREAMING_SNAKE_CASE   :      Optional[int]=0.02	,    __SCREAMING_SNAKE_CASE   :      Dict=1e-5	,    __SCREAMING_SNAKE_CASE   :      str=None	,    __SCREAMING_SNAKE_CASE   :      Optional[Any]=None	,    **__SCREAMING_SNAKE_CASE   :      Optional[int]	,    )      ->      Tuple:
							super().__init__(**__SCREAMING_SNAKE_CASE       )

							a_		:	Optional[int]									=   image_size
							a_		:	int									=   patch_size
							a_		:	List[Any]									=   num_channels
							a_		:	Optional[Any]									=   embed_dim
							a_		:	int									=   depths
							a_		:	int									=   len(__SCREAMING_SNAKE_CASE       )
							a_		:	Optional[Any]									=   num_heads
							a_		:	Tuple									=   window_size
							a_		:	str									=   mlp_ratio
							a_		:	int									=   qkv_bias
							a_		:	Any									=   hidden_dropout_prob
							a_		:	int									=   attention_probs_dropout_prob
							a_		:	List[Any]									=   drop_path_rate
							a_		:	List[Any]									=   hidden_act
							a_		:	Optional[Any]									=   use_absolute_embeddings
							a_		:	Tuple									=   layer_norm_eps
							a_		:	str									=   initializer_range
							# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
							# this indicates the channel dimension after the last stage of the model
							a_		:	Dict									=   int(embed_dim * 2 ** (len(__SCREAMING_SNAKE_CASE       ) - 1)       )
							a_		:	Optional[int]									=   ['''stem'''] + [f'stage{idx}' for idx in range(1	,    len(__SCREAMING_SNAKE_CASE       ) + 1       )]
							a_					,      a_		:	Union[str, Any]									=   get_aligned_output_features_output_indices(
							    out_features=__SCREAMING_SNAKE_CASE	,    out_indices=__SCREAMING_SNAKE_CASE	,    stage_names=self.stage_names       )












'''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   )




