
"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase			=		logging.get_logger(__name__)

lowerCAmelCase			=		{
    """apple/mobilevit-small""": """https://huggingface.co/apple/mobilevit-small/resolve/main/config.json""",
    """apple/mobilevit-x-small""": """https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json""",
    """apple/mobilevit-xx-small""": """https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json""",
    """apple/deeplabv3-mobilevit-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"""
    ),
    """apple/deeplabv3-mobilevit-x-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"""
    ),
    """apple/deeplabv3-mobilevit-xx-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"""
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}

class 					A_			(  A__     ):



							"""simple docstring"""






							SCREAMING_SNAKE_CASE_			   =     """mobilevit"""





							def __init__(						self						:int  ,							lowerCamelCase_						:str=3  ,							lowerCamelCase_						:List[str]=256  ,							lowerCamelCase_						:List[str]=2  ,							lowerCamelCase_						:Tuple=[144, 192, 240]  ,							lowerCamelCase_						:Dict=[16, 32, 64, 96, 128, 160, 640]  ,							lowerCamelCase_						:Tuple=4  ,							lowerCamelCase_						:Union[str, Any]=2.0  ,							lowerCamelCase_						:Optional[int]=4.0  ,							lowerCamelCase_						:List[str]="silu"  ,							lowerCamelCase_						:str=3  ,							lowerCamelCase_						:str=32  ,							lowerCamelCase_						:Union[str, Any]=0.1  ,							lowerCamelCase_						:List[Any]=0.0  ,							lowerCamelCase_						:Tuple=0.1  ,							lowerCamelCase_						:Any=0.02  ,							lowerCamelCase_						:Tuple=1e-5  ,							lowerCamelCase_						:str=True  ,							lowerCamelCase_						:Optional[int]=256  ,							lowerCamelCase_						:int=[6, 12, 18]  ,							lowerCamelCase_						:int=0.1  ,							lowerCamelCase_						:List[str]=255  ,							**lowerCamelCase_						:List[str]  ,							):





										"""simple docstring"""

										super().__init__(**lowerCamelCase_ )

										lowerCamelCase__			:  Optional[Any]  =num_channels
										lowerCamelCase__			:  Union[str, Any]  =image_size
										lowerCamelCase__			:  int  =patch_size
										lowerCamelCase__			:  str  =hidden_sizes
										lowerCamelCase__			:  Optional[Any]  =neck_hidden_sizes
										lowerCamelCase__			:  Tuple  =num_attention_heads
										lowerCamelCase__			:  str  =mlp_ratio
										lowerCamelCase__			:  Dict  =expand_ratio
										lowerCamelCase__			:  Any  =hidden_act
										lowerCamelCase__			:  Optional[Any]  =conv_kernel_size
										lowerCamelCase__			:  List[str]  =output_stride
										lowerCamelCase__			:  Any  =hidden_dropout_prob
										lowerCamelCase__			:  Tuple  =attention_probs_dropout_prob
										lowerCamelCase__			:  List[Any]  =classifier_dropout_prob
										lowerCamelCase__			:  List[Any]  =initializer_range
										lowerCamelCase__			:  List[str]  =layer_norm_eps
										lowerCamelCase__			:  str  =qkv_bias

										# decode head attributes for semantic segmentation
										lowerCamelCase__			:  Dict  =aspp_out_channels
										lowerCamelCase__			:  Dict  =atrous_rates
										lowerCamelCase__			:  Union[str, Any]  =aspp_dropout_prob
										lowerCamelCase__			:  List[Any]  =semantic_loss_ignore_index






class 					A_			(  A__     ):



							"""simple docstring"""






							SCREAMING_SNAKE_CASE_			   =     version.parse("""1.11"""     )





							@property
							def    UpperCAmelCase__							(						self						:str ):





										"""simple docstring"""

										return OrderedDict([('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'})] )





							@property
							def    UpperCAmelCase__							(						self						:Union[str, Any] ):





										"""simple docstring"""

										if self.task == "image-classification":
													return OrderedDict([('logits', {0: 'batch'})] )
										else:
													return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})] )





							@property
							def    UpperCAmelCase__							(						self						:Optional[Any] ):





										"""simple docstring"""

										return 1e-4








"""simple docstring"""


# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.
from queue import Queue






def      lowerCAmelCase_     (	snake_case_	:    List[Any]    )     ->Optional[int]:
			lowerCamelCase__			:  Optional[int]  =Queue()
			lowerCamelCase__			:  Any  =[False] * len(snake_case_    )
			lowerCamelCase__			:  Optional[Any]  =[-1] * len(snake_case_    )

			def bfs():
						while not queue.empty():
									lowerCamelCase__			:  List[Any]  =queue.get()
									lowerCamelCase__			:  int  =True

									for neighbour in graph[u]:
												if neighbour == u:
															return False

												if color[neighbour] == -1:
															lowerCamelCase__			:  Union[str, Any]  =1 - color[u]
															queue.put(snake_case_    )

												elif color[neighbour] == color[u]:
															return False

						return True

			for i in range(len(snake_case_    )    ):
						if not visited[i]:
									queue.put(snake_case_    )
									lowerCamelCase__			:  Tuple  =0
									if bfs() is False:
												return False

			return True


if __name__ == "__main__":
							# Adjacency List of graph
							print(check_bipartite({0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2]}))