
"""simple docstring"""





# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

_a														=		TypeVar("""T""")






class    _UpperCAmelCase(   Generic[T]     ):



		def __init__( self    ,		__a = True)	->	None:






							'''simple docstring'''
							_UpperCamelCase										=  {}  # dictionary of lists
							_UpperCamelCase										=  directed



		def 						UpperCAmelCase							( self    ,		__a    ,		__a)	->	GraphAdjacencyList[T]:






							'''simple docstring'''

							if not self.directed:  # For undirected graphs
												# if both source vertex and destination vertex are both present in the
												# adjacency list, add destination vertex to source vertex list of adjacent
												# vertices and add source vertex to destination vertex list of adjacent
												# vertices.
												if source_vertex in self.adj_list and destination_vertex in self.adj_list:
																	self.adj_list[source_vertex].append(__a)
																	self.adj_list[destination_vertex].append(__a)
												# if only source vertex is present in adjacency list, add destination vertex
												# to source vertex list of adjacent vertices, then create a new vertex with
												# destination vertex as key and assign a list containing the source vertex
												# as it's first adjacent vertex.
												elif source_vertex in self.adj_list:
																	self.adj_list[source_vertex].append(__a)
																	_UpperCamelCase										=  [source_vertex]
												# if only destination vertex is present in adjacency list, add source vertex
												# to destination vertex list of adjacent vertices, then create a new vertex
												# with source vertex as key and assign a list containing the source vertex
												# as it's first adjacent vertex.
												elif destination_vertex in self.adj_list:
																	self.adj_list[destination_vertex].append(__a)
																	_UpperCamelCase										=  [destination_vertex]
												# if both source vertex and destination vertex are not present in adjacency
												# list, create a new vertex with source vertex as key and assign a list
												# containing the destination vertex as it's first adjacent vertex also
												# create a new vertex with destination vertex as key and assign a list
												# containing the source vertex as it's first adjacent vertex.
												else:
																	_UpperCamelCase										=  [destination_vertex]
																	_UpperCamelCase										=  [source_vertex]
							else:  # For directed graphs
												# if both source vertex and destination vertex are present in adjacency
												# list, add destination vertex to source vertex list of adjacent vertices.
												if source_vertex in self.adj_list and destination_vertex in self.adj_list:
																	self.adj_list[source_vertex].append(__a)
												# if only source vertex is present in adjacency list, add destination
												# vertex to source vertex list of adjacent vertices and create a new vertex
												# with destination vertex as key, which has no adjacent vertex
												elif source_vertex in self.adj_list:
																	self.adj_list[source_vertex].append(__a)
																	_UpperCamelCase										=  []
												# if only destination vertex is present in adjacency list, create a new
												# vertex with source vertex as key and assign a list containing destination
												# vertex as first adjacent vertex
												elif destination_vertex in self.adj_list:
																	_UpperCamelCase										=  [destination_vertex]
												# if both source vertex and destination vertex are not present in adjacency
												# list, create a new vertex with source vertex as key and a list containing
												# destination vertex as it's first adjacent vertex. Then create a new vertex
												# with destination vertex as key, which has no adjacent vertex
												else:
																	_UpperCamelCase										=  [destination_vertex]
																	_UpperCamelCase										=  []

							return self




		def __repr__( self)	->	str:






							'''simple docstring'''
							return pformat(self.adj_list)








"""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


_a														=		logging.get_logger(__name__)

_a														=		{
    """facebook/levit-128S""": """https://huggingface.co/facebook/levit-128S/resolve/main/config.json""",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}






class    _UpperCAmelCase(   lowerCamelCase     ):
		lowercase__      =				'levit'



		def __init__( self    ,		__a=2_24    ,		__a=3    ,		__a=3    ,		__a=2    ,		__a=1    ,		__a=16    ,		__a=[1_28, 2_56, 3_84]    ,		__a=[4, 8, 12]    ,		__a=[4, 4, 4]    ,		__a=[16, 16, 16]    ,		__a=0    ,		__a=[2, 2, 2]    ,		__a=[2, 2, 2]    ,		__a=0.02    ,		**__a    ,		)	->	List[str]:






							'''simple docstring'''
							super().__init__(**__a)
							_UpperCamelCase										=  image_size
							_UpperCamelCase										=  num_channels
							_UpperCamelCase										=  kernel_size
							_UpperCamelCase										=  stride
							_UpperCamelCase										=  padding
							_UpperCamelCase										=  hidden_sizes
							_UpperCamelCase										=  num_attention_heads
							_UpperCamelCase										=  depths
							_UpperCamelCase										=  key_dim
							_UpperCamelCase										=  drop_path_rate
							_UpperCamelCase										=  patch_size
							_UpperCamelCase										=  attention_ratio
							_UpperCamelCase										=  mlp_ratio
							_UpperCamelCase										=  initializer_range
							_UpperCamelCase										=  [
							    ['''Subsample''', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
							    ['''Subsample''', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
							]






class    _UpperCAmelCase(   lowerCamelCase     ):
		lowercase__      =				version.parse('1.11'     )



		@property
		def 						UpperCAmelCase							( self)	->	Mapping[str, Mapping[int, str]]:






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




		@property
		def 						UpperCAmelCase							( self)	->	float:






							'''simple docstring'''
							return 1e-4






