"""simple docstring"""


import copy
from typing import Dict, Optional

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


__UpperCamelCase       :    Optional[int]         =		logging.get_logger(__name__)

__UpperCamelCase       :    Dict         =		{
    '''shi-labs/oneformer_ade20k_swin_tiny''': (
        '''https://huggingface.co/shi-labs/oneformer_ade20k_swin_tiny/blob/main/config.json'''
    ),
    # See all OneFormer models at https://huggingface.co/models?filter=oneformer
}
class   UpperCAmelCase_	(				snake_case_   ):
    snake_case_											=      """oneformer"""
    snake_case_											=      {"""hidden_size""": """hidden_dim"""}
    def __init__(	self			:       List[Any]   ,						_lowercase			:       Optional[Any] = None   ,						_lowercase			:       List[str] = 2_5_5   ,						_lowercase			:       List[Any] = 1_5_0   ,						_lowercase			:       Optional[Any] = 0.1   ,						_lowercase			:       int = 2.0   ,						_lowercase			:       Union[str, Any] = 5.0   ,						_lowercase			:       Any = 5.0   ,						_lowercase			:       Tuple = 0.5   ,						_lowercase			:       Optional[int] = 0.07   ,						_lowercase			:       str = 1_2_5_4_4   ,						_lowercase			:       Optional[int] = 3.0   ,						_lowercase			:       int = 0.75   ,						_lowercase			:       List[str] = 0.02   ,						_lowercase			:       Tuple = 1.0   ,						_lowercase			:       List[Any] = 1e-0_5   ,						_lowercase			:       Union[str, Any] = False   ,						_lowercase			:       List[Any] = True   ,						_lowercase			:       Optional[int] = True   ,						_lowercase			:       Union[str, Any] = [4, 8, 1_6, 3_2]   ,						_lowercase			:       Dict = 7_7   ,						_lowercase			:       Optional[Any] = 2_5_6   ,						_lowercase			:       List[Any] = 7_7   ,						_lowercase			:       List[str] = 6   ,						_lowercase			:       Dict = 4_9_4_0_8   ,						_lowercase			:       Dict = 2   ,						_lowercase			:       Optional[int] = 1_6   ,						_lowercase			:       Dict = 2_5_6   ,						_lowercase			:       Union[str, Any] = 2_5_6   ,						_lowercase			:       List[Any] = 2_5_6   ,						_lowercase			:       Any = 1_0_2_4   ,						_lowercase			:       Optional[Any] = "GN"   ,						_lowercase			:       Union[str, Any] = 6   ,						_lowercase			:       Optional[Any] = 1_0   ,						_lowercase			:       Union[str, Any] = True   ,						_lowercase			:       int = 8   ,						_lowercase			:       int = 0.1   ,						_lowercase			:       Dict = 2_0_4_8   ,						_lowercase			:       List[Any] = False   ,						_lowercase			:       Any = False   ,						_lowercase			:       Dict = 2   ,						_lowercase			:       Tuple = 4   ,						**_lowercase			:       Optional[Any]   ,						)						->    Any:
       if backbone_config is None:
          logger.info("`backbone_config` is unset. Initializing the config with the default `Swin` backbone."		)
          _lowercase							     =       CONFIG_MAPPING['''swin'''](
              image_size=2_2_4   ,						in_channels=3   ,						patch_size=4   ,						embed_dim=9_6   ,						depths=[2, 2, 6, 2]   ,						num_heads=[3, 6, 1_2, 2_4]   ,						window_size=7   ,						drop_path_rate=0.3   ,						use_absolute_embeddings=UpperCAmelCase__   ,						out_features=["stage1", "stage2", "stage3", "stage4"]   ,						)
       elif isinstance(UpperCAmelCase__   ,						UpperCAmelCase__		):
          _lowercase							     =       backbone_config.get("model_type"		)
          _lowercase							     =       CONFIG_MAPPING[backbone_model_type]
          _lowercase							     =       config_class.from_dict(UpperCAmelCase__		)

       _lowercase							     =       backbone_config

       _lowercase							     =       ignore_value
       _lowercase							     =       num_queries
       _lowercase							     =       no_object_weight
       _lowercase							     =       class_weight
       _lowercase							     =       mask_weight
       _lowercase							     =       dice_weight
       _lowercase							     =       contrastive_weight
       _lowercase							     =       contrastive_temperature
       _lowercase							     =       train_num_points
       _lowercase							     =       oversample_ratio
       _lowercase							     =       importance_sample_ratio
       _lowercase							     =       init_std
       _lowercase							     =       init_xavier_std
       _lowercase							     =       layer_norm_eps
       _lowercase							     =       is_training
       _lowercase							     =       use_auxiliary_loss
       _lowercase							     =       output_auxiliary_logits
       _lowercase							     =       strides
       _lowercase							     =       task_seq_len
       _lowercase							     =       text_encoder_width
       _lowercase							     =       text_encoder_context_length
       _lowercase							     =       text_encoder_num_layers
       _lowercase							     =       text_encoder_vocab_size
       _lowercase							     =       text_encoder_proj_layers
       _lowercase							     =       text_encoder_n_ctx
       _lowercase							     =       conv_dim
       _lowercase							     =       mask_dim
       _lowercase							     =       hidden_dim
       _lowercase							     =       encoder_feedforward_dim
       _lowercase							     =       norm
       _lowercase							     =       encoder_layers
       _lowercase							     =       decoder_layers
       _lowercase							     =       use_task_norm
       _lowercase							     =       num_attention_heads
       _lowercase							     =       dropout
       _lowercase							     =       dim_feedforward
       _lowercase							     =       pre_norm
       _lowercase							     =       enforce_input_proj
       _lowercase							     =       query_dec_layers
       _lowercase							     =       common_stride
       _lowercase							     =       decoder_layers

       super().__init__(**UpperCAmelCase__		)




    def 		_lowerCamelCase      (	self			:       int		)						->    Dict[str, any]:
       _lowercase							     =       copy.deepcopy(self.__dict__		)
       _lowercase							     =       self.backbone_config.to_dict()
       _lowercase							     =       self.__class__.model_type
       return output






'''simple docstring'''






import importlib
import inspect
from functools import wraps
from typing import TYPE_CHECKING, Optional, Union

from .download.streaming_download_manager import (
    xbasename,
    xdirname,
    xet_parse,
    xexists,
    xgetsize,
    xglob,
    xgzip_open,
    xisdir,
    xisfile,
    xjoin,
    xlistdir,
    xnumpy_load,
    xopen,
    xpandas_read_csv,
    xpandas_read_excel,
    xPath,
    xrelpath,
    xsio_loadmat,
    xsplit,
    xsplitext,
    xwalk,
    xxml_dom_minidom_parse,
)
from .utils.logging import get_logger
from .utils.patching import patch_submodule
from .utils.py_utils import get_imports


__UpperCamelCase      :   List[Any]								=     get_logger(__name__)


if TYPE_CHECKING:
	from .builder import DatasetBuilder





def      lowercase  (  lowerCAmelCase :						List[str]   , lowerCAmelCase :						Optional[Union[str, bool]] = None):



				"""simple docstring"""


				_A :				Union[str, Any]				=  importlib.import_module(lowerCAmelCase)

				# TODO(QL): always update the module to add subsequent new authentication
				if hasattr(lowerCAmelCase   , '''_patched_for_streaming''') and module._patched_for_streaming:
								return

				def wrap_auth(lowerCAmelCase :						Union[str, Any]):
								@wraps(lowerCAmelCase)
								def wrapper(*lowerCAmelCase :						Union[str, Any]   , **lowerCAmelCase :						int):
												return function(*lowerCAmelCase   , use_auth_token=lowerCAmelCase   , **lowerCAmelCase)

								_A :				Optional[Any]				=  '''wrap_auth'''
								return wrapper

				# open files in a streaming fashion
				patch_submodule(lowerCAmelCase   , '''open'''   , wrap_auth(lowerCAmelCase)).start()
				patch_submodule(lowerCAmelCase   , '''os.listdir'''   , wrap_auth(lowerCAmelCase)).start()
				patch_submodule(lowerCAmelCase   , '''os.walk'''   , wrap_auth(lowerCAmelCase)).start()
				patch_submodule(lowerCAmelCase   , '''glob.glob'''   , wrap_auth(lowerCAmelCase)).start()
				# allow to navigate in remote zip files
				patch_submodule(lowerCAmelCase   , '''os.path.join'''   , lowerCAmelCase).start()
				patch_submodule(lowerCAmelCase   , '''os.path.dirname'''   , lowerCAmelCase).start()
				patch_submodule(lowerCAmelCase   , '''os.path.basename'''   , lowerCAmelCase).start()
				patch_submodule(lowerCAmelCase   , '''os.path.relpath'''   , lowerCAmelCase).start()
				patch_submodule(lowerCAmelCase   , '''os.path.split'''   , lowerCAmelCase).start()
				patch_submodule(lowerCAmelCase   , '''os.path.splitext'''   , lowerCAmelCase).start()
				# allow checks on paths
				patch_submodule(lowerCAmelCase   , '''os.path.exists'''   , wrap_auth(lowerCAmelCase)).start()
				patch_submodule(lowerCAmelCase   , '''os.path.isdir'''   , wrap_auth(lowerCAmelCase)).start()
				patch_submodule(lowerCAmelCase   , '''os.path.isfile'''   , wrap_auth(lowerCAmelCase)).start()
				patch_submodule(lowerCAmelCase   , '''os.path.getsize'''   , wrap_auth(lowerCAmelCase)).start()
				patch_submodule(lowerCAmelCase   , '''pathlib.Path'''   , lowerCAmelCase).start()
				# file readers
				patch_submodule(lowerCAmelCase   , '''gzip.open'''   , wrap_auth(lowerCAmelCase)).start()
				patch_submodule(lowerCAmelCase   , '''numpy.load'''   , wrap_auth(lowerCAmelCase)).start()
				patch_submodule(lowerCAmelCase   , '''pandas.read_csv'''   , wrap_auth(lowerCAmelCase)   , attrs=['''__version__''']).start()
				patch_submodule(lowerCAmelCase   , '''pandas.read_excel'''   , wrap_auth(lowerCAmelCase)   , attrs=['''__version__''']).start()
				patch_submodule(lowerCAmelCase   , '''scipy.io.loadmat'''   , wrap_auth(lowerCAmelCase)   , attrs=['''__version__''']).start()
				patch_submodule(lowerCAmelCase   , '''xml.etree.ElementTree.parse'''   , wrap_auth(lowerCAmelCase)).start()
				patch_submodule(lowerCAmelCase   , '''xml.dom.minidom.parse'''   , wrap_auth(lowerCAmelCase)).start()
				_A :				Optional[int]				=  True





def      lowercase  (  lowerCAmelCase :						"DatasetBuilder"):



				"""simple docstring"""


				extend_module_for_streaming(builder.__module__   , use_auth_token=builder.use_auth_token)
				# if needed, we also have to extend additional internal imports (like wmt14 -> wmt_utils)
				if not builder.__module__.startswith('''datasets.'''):  # check that it's not a packaged builder like csv
								for imports in get_imports(inspect.getfile(builder.__class__)):
												if imports[0] == "internal":
																_A :				Optional[int]				=  imports[1]
																_A :				str				=  '''.'''.join(builder.__module__.split('''.''')[:-1] + [internal_import_name])
																extend_module_for_streaming(lowerCAmelCase   , use_auth_token=builder.use_auth_token)

    # builders can inherit from other builders that might use streaming functionality
    # (for example, ImageFolder and AudioFolder inherit from FolderBuilder which implements examples generation)
    # but these parents builders are not patched automatically as they are not instantiated, so we patch them here
				from .builder import DatasetBuilder

				_A :				Tuple				=  [
				    cls.__module__
				    for cls in type(lowerCAmelCase).__mro__[1:]  # make sure it's not the same module we've already patched
				    if issubclass(cls   , lowerCAmelCase) and cls.__module__ != DatasetBuilder.__module__
				]  # check it's not a standard builder from datasets.builder
				for module in parent_builder_modules:
								extend_module_for_streaming(lowerCAmelCase   , use_auth_token=builder.use_auth_token)
