

"""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   (      snake_case__    ):

			"""simple docstring"""

			SCREAMING_SNAKE_CASE_						     =						1
			SCREAMING_SNAKE_CASE_						     =						2
			SCREAMING_SNAKE_CASE_						     =						3






			def __repr__(							self     :					Optional[Any]						):
								return f'''{self.__class__.__name__}.{self.name}'''



def        _lowerCAmelCase      (						UpperCAmelCase     :							tuple[int, int]      ,							UpperCAmelCase     :							int      ,							UpperCAmelCase     :							int				):


					'''simple docstring'''






					UpperCamelCase__  ,			UpperCamelCase__		:    Union[str, Any]         =point
					return degrees(atana(y - miny      ,							x - minx				)				)



def        _lowerCAmelCase      (						UpperCAmelCase     :							tuple[int, int]      ,							UpperCAmelCase     :							tuple[int, int]      ,							UpperCAmelCase     :							tuple[int, int]				):


					'''simple docstring'''






					UpperCamelCase__  ,			UpperCamelCase__		:    int         =starting
					UpperCamelCase__  ,			UpperCamelCase__		:    Optional[Any]         =via
					UpperCamelCase__  ,			UpperCamelCase__		:    List[Any]         =target
					UpperCamelCase__		:    Optional[int]         =degrees(atana(ya - ya      ,							xa - xa				)				)
					via_angle %= 360
					UpperCamelCase__		:    List[Any]         =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        _lowerCAmelCase      (						UpperCAmelCase     :							list[tuple[int, int]]				):


					'''simple docstring'''






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

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

					UpperCamelCase__		:    Optional[int]         =sorted(UpperCAmelCase      ,							key=lambda UpperCAmelCase				: angle_comparer(UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase				)				)
					# 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[tuple[int, int]]         =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__		:    Optional[Any]         =Direction.left

					for i in range(3      ,							len(UpperCAmelCase				)				):
										while True:
															UpperCamelCase__		:    Union[str, Any]         =stack[-2]
															UpperCamelCase__		:    List[Any]         =stack[-1]
															UpperCamelCase__		:    int         =sorted_points[i]
															UpperCamelCase__		:    str         =check_direction(UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase				)

															if next_direction == Direction.left:
																				UpperCamelCase__		:    Union[str, Any]         =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(UpperCAmelCase				)





"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_SCREAMING_SNAKE_CASE       :  List[Any]        = {
    """configuration_deta""": ["""DETA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DetaConfig"""],
}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_SCREAMING_SNAKE_CASE       :  int        = ["""DetaImageProcessor"""]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_SCREAMING_SNAKE_CASE       :  Dict        = [
				    """DETA_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """DetaForObjectDetection""",
				    """DetaModel""",
				    """DetaPreTrainedModel""",
				]


if TYPE_CHECKING:
				from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .image_processing_deta import DetaImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_deta import (
								    DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
								    DetaForObjectDetection,
								    DetaModel,
								    DetaPreTrainedModel,
								)

else:
				import sys

				_SCREAMING_SNAKE_CASE       :  Optional[int]        = _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


