


'''simple docstring'''







import copy
from typing import Dict

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
from ..bit import BitConfig


_SCREAMING_SNAKE_CASE       :   Union[str, Any]        = logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE       :   Dict        = {
    "google/vit-hybrid-base-bit-384": "https://huggingface.co/vit-hybrid-base-bit-384/resolve/main/config.json",
    # See all ViT hybrid models at https://huggingface.co/models?filter=vit
}






class 		_snake_case    (				snake_case_		):






						'''simple docstring'''







						__snake_case   =      "vit-hybrid"







						def __init__(  self:	Union[str, Any]      ,							__UpperCamelCase:	Optional[int]=None      ,							__UpperCamelCase:	Optional[int]=768      ,							__UpperCamelCase:	Any=12      ,							__UpperCamelCase:	List[str]=12      ,							__UpperCamelCase:	Tuple=3072      ,							__UpperCamelCase:	Tuple="gelu"      ,							__UpperCamelCase:	str=0.0      ,							__UpperCamelCase:	List[str]=0.0      ,							__UpperCamelCase:	Optional[Any]=0.0_2      ,							__UpperCamelCase:	List[Any]=1E-12      ,							__UpperCamelCase:	Optional[Any]=224      ,							__UpperCamelCase:	Union[str, Any]=1      ,							__UpperCamelCase:	str=3      ,							__UpperCamelCase:	Dict=[1, 1024, 24, 24]      ,							__UpperCamelCase:	Any=True      ,							**__UpperCamelCase:	Any      ,							)							->	Optional[int]:
										super().__init__(**__UpperCamelCase     )

										if backbone_config is None:
														logger.info("`backbone_config` is `None`. Initializing the config with a `BiT` backbone."     )
														__magic_name__				:					Dict						       =       {
														    "global_padding": "same",
														    "layer_type": "bottleneck",
														    "depths": [3, 4, 9],
														    "out_features": ["stage3"],
														    "embedding_dynamic_padding": True,
														}

										if isinstance(__UpperCamelCase      ,							__UpperCamelCase     ):
														if "model_type" in backbone_config:
																		__magic_name__				:					str						       =       CONFIG_MAPPING[backbone_config["model_type"]]
														else:
																		logger.info(
																		    "`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class."     )
																		__magic_name__				:					Tuple						       =       BitConfig
														__magic_name__				:					Optional[int]						       =       backbone_config_class(**__UpperCamelCase     )

										__magic_name__				:					Any						       =       backbone_featmap_shape
										__magic_name__				:					List[str]						       =       backbone_config
										__magic_name__				:					Union[str, Any]						       =       hidden_size
										__magic_name__				:					Any						       =       num_hidden_layers
										__magic_name__				:					Optional[int]						       =       num_attention_heads
										__magic_name__				:					Any						       =       intermediate_size
										__magic_name__				:					Optional[Any]						       =       hidden_act
										__magic_name__				:					Tuple						       =       hidden_dropout_prob
										__magic_name__				:					List[str]						       =       attention_probs_dropout_prob
										__magic_name__				:					Optional[Any]						       =       initializer_range
										__magic_name__				:					List[str]						       =       layer_norm_eps
										__magic_name__				:					Optional[Any]						       =       image_size
										__magic_name__				:					Any						       =       patch_size
										__magic_name__				:					str						       =       num_channels
										__magic_name__				:					int						       =       qkv_bias







						def lowerCAmelCase__ (  self:	Union[str, Any]     )							->	Dict[str, any]:
										__magic_name__				:					Any						       =       copy.deepcopy(self.__dict__     )
										__magic_name__				:					Dict						       =       self.backbone_config.to_dict()
										__magic_name__				:					List[Any]						       =       self.__class__.model_type
										return output



'''simple docstring'''







import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput






@dataclass
class 		_snake_case    (				snake_case_		):






						'''simple docstring'''







						__snake_case   =      42
						__snake_case   =      None
						__snake_case   =      None






class 		_snake_case    (				unittest.TestCase		):






						'''simple docstring'''







						def lowerCAmelCase__ (  self:	List[str]     )							->	str:
										__magic_name__				:					List[Any]						       =       ModelOutputTest(a=30     )
										self.assertEqual(x.a      ,							30     )
										self.assertIsNone(x.b     )
										self.assertIsNone(x.c     )
										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					Optional[int]						       =       x.d







						def lowerCAmelCase__ (  self:	Dict     )							->	Dict:
										__magic_name__				:					List[Any]						       =       ModelOutputTest(a=30      ,							b=10     )
										self.assertEqual(x[0]      ,							30     )
										self.assertEqual(x[1]      ,							10     )
										self.assertEqual(x[:2]      ,							(30, 10)     )
										self.assertEqual(x[:]      ,							(30, 10)     )

										__magic_name__				:					str						       =       ModelOutputTest(a=30      ,							c=10     )
										self.assertEqual(x[0]      ,							30     )
										self.assertEqual(x[1]      ,							10     )
										self.assertEqual(x[:2]      ,							(30, 10)     )
										self.assertEqual(x[:]      ,							(30, 10)     )







						def lowerCAmelCase__ (  self:	List[Any]     )							->	Optional[int]:
										__magic_name__				:					Optional[Any]						       =       ModelOutputTest(a=30      ,							b=10     )
										self.assertEqual(x["a"]      ,							30     )
										self.assertEqual(x["b"]      ,							10     )
										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					str						       =       x["c"]

										__magic_name__				:					Optional[Any]						       =       ModelOutputTest(a=30      ,							c=10     )
										self.assertEqual(x["a"]      ,							30     )
										self.assertEqual(x["c"]      ,							10     )
										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					Union[str, Any]						       =       x["b"]







						def lowerCAmelCase__ (  self:	Optional[Any]     )							->	Any:
										__magic_name__				:					Any						       =       ModelOutputTest(a=30     )
										self.assertEqual(list(x.keys()     )      ,							["a"]     )
										self.assertEqual(list(x.values()     )      ,							[30]     )
										self.assertEqual(list(x.items()     )      ,							[("a", 30)]     )
										self.assertEqual(list(__UpperCamelCase     )      ,							["a"]     )

										__magic_name__				:					Dict						       =       ModelOutputTest(a=30      ,							b=10     )
										self.assertEqual(list(x.keys()     )      ,							["a", "b"]     )
										self.assertEqual(list(x.values()     )      ,							[30, 10]     )
										self.assertEqual(list(x.items()     )      ,							[("a", 30), ("b", 10)]     )
										self.assertEqual(list(__UpperCamelCase     )      ,							["a", "b"]     )

										__magic_name__				:					int						       =       ModelOutputTest(a=30      ,							c=10     )
										self.assertEqual(list(x.keys()     )      ,							["a", "c"]     )
										self.assertEqual(list(x.values()     )      ,							[30, 10]     )
										self.assertEqual(list(x.items()     )      ,							[("a", 30), ("c", 10)]     )
										self.assertEqual(list(__UpperCamelCase     )      ,							["a", "c"]     )

										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					str						       =       x.update({"d": 20}     )
										with self.assertRaises(__UpperCamelCase     ):
														del x["a"]
										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					List[str]						       =       x.pop("a"     )
										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					Optional[Any]						       =       x.setdefault("d"      ,							32     )







						def lowerCAmelCase__ (  self:	Dict     )							->	int:
										__magic_name__				:					Any						       =       ModelOutputTest(a=30     )
										__magic_name__				:					Tuple						       =       10
										self.assertEqual(x.a      ,							10     )
										self.assertEqual(x["a"]      ,							10     )







						def lowerCAmelCase__ (  self:	Dict     )							->	Union[str, Any]:
										__magic_name__				:					Tuple						       =       ModelOutputTest(a=30     )
										__magic_name__				:					Union[str, Any]						       =       10
										self.assertEqual(x.a      ,							10     )
										self.assertEqual(x["a"]      ,							10     )







						def lowerCAmelCase__ (  self:	Optional[int]     )							->	Optional[int]:
										__magic_name__				:					Tuple						       =       ModelOutputTest({"a": 30, "b": 10}     )
										self.assertEqual(list(x.keys()     )      ,							["a", "b"]     )
										self.assertEqual(x.a      ,							30     )
										self.assertEqual(x.b      ,							10     )







						def lowerCAmelCase__ (  self:	Optional[int]     )							->	Optional[Any]:
										__magic_name__				:					List[str]						       =       ModelOutputTest([("a", 30), ("b", 10)]     )
										self.assertEqual(list(x.keys()     )      ,							["a", "b"]     )
										self.assertEqual(x.a      ,							30     )
										self.assertEqual(x.b      ,							10     )

										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					Any						       =       ModelOutputTest([("a", 30), (10, 10)]     )

										__magic_name__				:					Any						       =       ModelOutputTest(a=(30, 30)     )
										self.assertEqual(list(x.keys()     )      ,							["a"]     )
										self.assertEqual(x.a      ,							(30, 30)     )