






import copy
from typing import Dict, List, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


A__      :     Union[str, Any]       =					{
    'facebook/mask2former-swin-small-coco-instance': (
        'https://huggingface.co/facebook/mask2former-swin-small-coco-instance/blob/main/config.json'
    )
    # See all Mask2Former models at https://huggingface.co/models?filter=mask2former
}

A__      :     str       =					logging.get_logger(__name__)
class  _UpperCAmelCase   (			A__      ):

				"""simple docstring"""




				lowercase__											=			"""mask2former"""
				lowercase__											=			["""swin"""]
				lowercase__											=			{"""hidden_size""": """hidden_dim"""}




				def __init__(	self		:       int,    lowerCamelCase		:       Optional[Dict] = None,    lowerCamelCase		:       int = 256,    lowerCamelCase		:       int = 256,    lowerCamelCase		:       int = 256,    lowerCamelCase		:       int = 1_024,    lowerCamelCase		:       str = "relu",    lowerCamelCase		:       int = 6,    lowerCamelCase		:       int = 10,    lowerCamelCase		:       int = 8,    lowerCamelCase		:       float = 0.0,    lowerCamelCase		:       int = 2_048,    lowerCamelCase		:       bool = False,    lowerCamelCase		:       bool = False,    lowerCamelCase		:       int = 4,    lowerCamelCase		:       int = 255,    lowerCamelCase		:       int = 100,    lowerCamelCase		:       float = 0.1,    lowerCamelCase		:       float = 2.0,    lowerCamelCase		:       float = 5.0,    lowerCamelCase		:       float = 5.0,    lowerCamelCase		:       int = 12_544,    lowerCamelCase		:       float = 3.0,    lowerCamelCase		:       float = 0.75,    lowerCamelCase		:       float = 0.02,    lowerCamelCase		:       float = 1.0,    lowerCamelCase		:       bool = True,    lowerCamelCase		:       List[int] = [4, 8, 16, 32],    lowerCamelCase		:       bool = None,    **lowerCamelCase		:       Any,    ):

								'''simple docstring'''
								if backbone_config is None:
												logger.info('''`backbone_config` is `None`. Initializing the config with the default `Swin` backbone.'''    )
												lowercase__  					=     CONFIG_MAPPING['''swin'''](
												    image_size=224,    in_channels=3,    patch_size=4,    embed_dim=96,    depths=[2, 2, 18, 2],    num_heads=[3, 6, 12, 24],    window_size=7,    drop_path_rate=0.3,    use_absolute_embeddings=lowerCamelCase,    out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4'''],    )

								if isinstance(lowerCamelCase,    lowerCamelCase    ):
												lowercase__  					=     backbone_config.pop('''model_type'''    )
												lowercase__  					=     CONFIG_MAPPING[backbone_model_type]
												lowercase__  					=     config_class.from_dict(lowerCamelCase    )

								# verify that the backbone is supported
								if backbone_config.model_type not in self.backbones_supported:
												logger.warning_once(
												    F"""Backbone {backbone_config.model_type} is not a supported model and may not be compatible with Mask2Former. """
												    F"""Supported model types: {','.join(self.backbones_supported    )}"""    )

								lowercase__  					=     backbone_config
								lowercase__  					=     feature_size
								lowercase__  					=     mask_feature_size
								lowercase__  					=     hidden_dim
								lowercase__  					=     encoder_feedforward_dim
								lowercase__  					=     activation_function
								lowercase__  					=     encoder_layers
								lowercase__  					=     decoder_layers
								lowercase__  					=     num_attention_heads
								lowercase__  					=     dropout
								lowercase__  					=     dim_feedforward
								lowercase__  					=     pre_norm
								lowercase__  					=     enforce_input_projection
								lowercase__  					=     common_stride
								lowercase__  					=     ignore_value
								lowercase__  					=     num_queries
								lowercase__  					=     no_object_weight
								lowercase__  					=     class_weight
								lowercase__  					=     mask_weight
								lowercase__  					=     dice_weight
								lowercase__  					=     train_num_points
								lowercase__  					=     oversample_ratio
								lowercase__  					=     importance_sample_ratio
								lowercase__  					=     init_std
								lowercase__  					=     init_xavier_std
								lowercase__  					=     use_auxiliary_loss
								lowercase__  					=     feature_strides
								lowercase__  					=     output_auxiliary_logits
								lowercase__  					=     decoder_layers

								super().__init__(**lowerCamelCase    )




				@classmethod
				def 							lowercase__  (	cls		:       List[str],    lowerCamelCase		:       PretrainedConfig,    **lowerCamelCase		:       Dict    ):

								'''simple docstring'''
								return cls(
								    backbone_config=lowerCamelCase,    **lowerCamelCase,    )




				def 							lowercase__  (	self		:       str    ):

								'''simple docstring'''
								lowercase__  					=     copy.deepcopy(self.__dict__    )
								lowercase__  					=     self.backbone_config.to_dict()
								lowercase__  					=     self.__class__.model_type
								return output












import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


A__      :     int       =					importlib.util.find_spec('s3fs') is not None

if _has_safs:
							from .safilesystem import SaFileSystem  # noqa: F401

A__      :     List[compression.BaseCompressedFileFileSystem]       =					[
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
							if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
														warnings.warn(F"A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.")
							fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				if "://" in dataset_path:
								lowercase__  					=     dataset_path.split('''://'''							)[1]
				return dataset_path






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				if fs is not None and fs.protocol != "file":
								return True
				else:
								return False






def     a     (		lowerCamelCase_						,  lowerCamelCase_						,  lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     not is_remote_filesystem(lowerCamelCase_							)
				if is_local:
								# LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
								shutil.move(fs._strip_protocol(lowerCamelCase_							)						,  fs._strip_protocol(lowerCamelCase_							)							)
				else:
								fs.mv(lowerCamelCase_						,  lowerCamelCase_						,  recursive=lowerCamelCase_							)






def     a     (		):






				'''simple docstring'''
				if hasattr(fsspec.asyn						,  '''reset_lock'''							):
								# for future fsspec>2022.05.0
								fsspec.asyn.reset_lock()
				else:
								lowercase__  					=     None
								lowercase__  					=     None
								lowercase__  					=     threading.Lock()




