




"""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


UpperCamelCase__ :    Tuple 					=							logging.get_logger(__name__)

UpperCamelCase__ :    Any 					=							{
    "apple/mobilevitv2-1.0": "https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json",
}
class     A__      (      lowercase_     ):
	A_							:				Dict						     =      """mobilevitv2"""




	def __init__(   self  :	List[Any]      ,    lowercase  :	List[str]=3      ,    lowercase  :	Tuple=256      ,    lowercase  :	Union[str, Any]=2      ,    lowercase  :	List[str]=2.0      ,    lowercase  :	str="swish"      ,    lowercase  :	Tuple=3      ,    lowercase  :	Any=32      ,    lowercase  :	Optional[int]=0.1      ,    lowercase  :	List[str]=0.02      ,    lowercase  :	str=1e-5      ,    lowercase  :	Dict=512      ,    lowercase  :	Optional[int]=[6, 12, 18]      ,    lowercase  :	Union[str, Any]=0.1      ,    lowercase  :	int=255      ,    lowercase  :	int=[2, 4, 3]      ,    lowercase  :	Dict=[128, 192, 256]      ,    lowercase  :	str=1.0      ,    lowercase  :	Union[str, Any]=2      ,    lowercase  :	Tuple=0.0      ,    lowercase  :	Optional[Any]=0.0      ,    **lowercase  :	Tuple      ,    )					-> Optional[int]:
						super().__init__(**lowercase	)

						__snake_case          =	num_channels
						__snake_case          =	image_size
						__snake_case          =	patch_size
						__snake_case          =	expand_ratio
						__snake_case          =	hidden_act
						__snake_case          =	conv_kernel_size
						__snake_case          =	output_stride
						__snake_case          =	initializer_range
						__snake_case          =	layer_norm_eps
						__snake_case          =	n_attn_blocks
						__snake_case          =	base_attn_unit_dims
						__snake_case          =	width_multiplier
						__snake_case          =	ffn_multiplier
						__snake_case          =	ffn_dropout
						__snake_case          =	attn_dropout
						__snake_case          =	classifier_dropout_prob

						# decode head attributes for semantic segmentation
						__snake_case          =	aspp_out_channels
						__snake_case          =	atrous_rates
						__snake_case          =	aspp_dropout_prob
						__snake_case          =	semantic_loss_ignore_index

class     A__      (      lowercase_     ):
	A_							:				List[str]						     =      version.parse("""1.11"""     )




	@property
	def 							a_		(   self  :	List[str]	)					-> Mapping[str, Mapping[int, str]]:
						return OrderedDict([("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""})]	)




	@property
	def 							a_		(   self  :	List[str]	)					-> Mapping[str, Mapping[int, str]]:
						if self.task == "image-classification":
											return OrderedDict([("""logits""", {0: """batch"""})]	)
						else:
											return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]	)




	@property
	def 							a_		(   self  :	Dict	)					-> float:
						return 1e-4








"""simple docstring"""

from __future__ import annotations

from collections import deque
from enum import Enum
from math import atana, degrees
from sys import maxsize
class     A__      (      lowercase_     ):
	A_							:				Tuple						     =      1
	A_							:				Union[str, Any]						     =      2
	A_							:				Union[str, Any]						     =      3




	def __repr__(   self  :	Dict	)					-> Union[str, Any]:
						return f'''{self.__class__.__name__}.{self.name}'''




def       snake_case__	(       lowerCAmelCase   :		tuple[int, int]				,					lowerCAmelCase   :		int				,					lowerCAmelCase   :		int		):
					__snake_case      ,      __snake_case          =	point
					return degrees(atana(y - miny				,					x - minx		)		)




def       snake_case__	(       lowerCAmelCase   :		tuple[int, int]				,					lowerCAmelCase   :		tuple[int, int]				,					lowerCAmelCase   :		tuple[int, int]		):
					__snake_case      ,      __snake_case          =	starting
					__snake_case      ,      __snake_case          =	via
					__snake_case      ,      __snake_case          =	target
					__snake_case          =	degrees(atana(ya - ya				,					xa - xa		)		)
					via_angle %= 360
					__snake_case          =	degrees(atana(ya - ya				,					xa - xa		)		)
					target_angle %= 360
					# t-
					#  \ \
					#   \ v
					#    \|
					#     s
					# via_angle is always lower than target_angle, if direction is left.
					# If they are same, it means they are on a same line of convex hull.
					if target_angle > via_angle:
										return Direction.left
					elif target_angle == via_angle:
										return Direction.straight
					else:
										return Direction.right




def       snake_case__	(       lowerCAmelCase   :		list[tuple[int, int]]		):

					if len(lowerCAmelCase		) <= 2:
										# There is no convex hull
										raise ValueError("""graham_scan: argument must contain more than 3 points."""		)
					if len(lowerCAmelCase		) == 3:
										return points
					# find the lowest and the most left point
					__snake_case          =	0
					__snake_case      ,      __snake_case          =	maxsize, maxsize
					for i, point in enumerate(lowerCAmelCase		):
										__snake_case          =	point[0]
										__snake_case          =	point[1]
										if y < miny:
															__snake_case          =	y
															__snake_case          =	x
															__snake_case          =	i
										if y == miny and x < minx:
															__snake_case          =	x
															__snake_case          =	i

    # remove the lowest and the most left point from points for preparing for sort
					points.pop(lowerCAmelCase		)

					__snake_case          =	sorted(lowerCAmelCase				,					key=lambda lowerCAmelCase		: angle_comparer(lowerCAmelCase				,					lowerCAmelCase				,					lowerCAmelCase		)		)
					# This insert actually costs complexity,
					# and you should instead add (minx, miny) into stack later.
					# I'm using insert just for easy understanding.
					sorted_points.insert(0				,					(minx, miny)		)

					__snake_case          =	deque()
					stack.append(sorted_points[0]		)
					stack.append(sorted_points[1]		)
					stack.append(sorted_points[2]		)
					# In any ways, the first 3 points line are towards left.
					# Because we sort them the angle from minx, miny.
					__snake_case          =	Direction.left

					for i in range(3				,					len(lowerCAmelCase		)		):
										while True:
															__snake_case          =	stack[-2]
															__snake_case          =	stack[-1]
															__snake_case          =	sorted_points[i]
															__snake_case          =	check_direction(lowerCAmelCase				,					lowerCAmelCase				,					lowerCAmelCase		)

															if next_direction == Direction.left:
																				__snake_case          =	Direction.left
																				break
															if next_direction == Direction.straight:
																				if current_direction == Direction.left:
																									# We keep current_direction as left.
																									# Because if the straight line keeps as straight,
																									# we want to know if this straight line is towards left.
																									break
																				elif current_direction == Direction.right:
																									# If the straight line is towards right,
																									# every previous points on those straigh line is not convex hull.
																									stack.pop()
															if next_direction == Direction.right:
																				stack.pop()
										stack.append(sorted_points[i]		)
					return list(lowerCAmelCase		)


