




from __future__ import annotations

from collections import deque
from enum import Enum
from math import atana, degrees
from sys import maxsize




class     A					(				lowerCamelCase_       ):
							_SCREAMING_SNAKE_CASE  :		Any			  =       1
							_SCREAMING_SNAKE_CASE  :		Any			  =       2
							_SCREAMING_SNAKE_CASE  :		int			  =       3







							def __repr__(    self   :	Union[str, Any]				)		->					List[str]:

										"""simple docstring"""



										return f'''{self.__class__.__name__}.{self.name}'''







def  a_		(							__snake_case     ,		__snake_case     ,		__snake_case					)	->			float:

			'''simple docstring'''


			UpperCamelCase_     				= point
			return degrees(atana(y - miny     ,		x - minx					)					)




def  a_		(							__snake_case     ,		__snake_case     ,		__snake_case					)	->			Direction:

			'''simple docstring'''


			UpperCamelCase_     				= starting
			UpperCamelCase_     				= via
			UpperCamelCase_     				= target
			UpperCamelCase_     				= degrees(atana(ya - ya     ,		xa - xa					)					)
			via_angle %= 3_6_0
			UpperCamelCase_     				= degrees(atana(ya - ya     ,		xa - xa					)					)
			target_angle %= 3_6_0
			# 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  a_		(							__snake_case					)	->			list[tuple[int, int]]:

			'''simple docstring'''


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

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

			UpperCamelCase_     				= sorted(SCREAMING_SNAKE_CASE_     ,		key=lambda __snake_case					: angle_comparer(SCREAMING_SNAKE_CASE_     ,		SCREAMING_SNAKE_CASE_     ,		SCREAMING_SNAKE_CASE_					)					)
			# 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)					)

			UpperCamelCase_     				= 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.
			UpperCamelCase_     				= Direction.left

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

									if next_direction == Direction.left:
												UpperCamelCase_     				= 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(SCREAMING_SNAKE_CASE_					)


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCamelCase__        =						{"""configuration_regnet""": ["""REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RegNetConfig"""]}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase__        =						[
					    """REGNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """RegNetForImageClassification""",
					    """RegNetModel""",
					    """RegNetPreTrainedModel""",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase__        =						[
					    """TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """TFRegNetForImageClassification""",
					    """TFRegNetModel""",
					    """TFRegNetPreTrainedModel""",
					]

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase__        =						[
					    """FlaxRegNetForImageClassification""",
					    """FlaxRegNetModel""",
					    """FlaxRegNetPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_regnet import REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP, RegNetConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_regnet import (
										    REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
										    RegNetForImageClassification,
										    RegNetModel,
										    RegNetPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_regnet import (
										    TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFRegNetForImageClassification,
										    TFRegNetModel,
										    TFRegNetPreTrainedModel,
										)

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_regnet import (
										    FlaxRegNetForImageClassification,
										    FlaxRegNetModel,
										    FlaxRegNetPreTrainedModel,
										)


else:
					import sys

					lowerCamelCase__        =						_LazyModule(__name__, globals()["""__file__"""], _import_structure)