
"""simple docstring"""




from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier

# Load iris file
A__   :						Any 							=     load_iris()
iris.keys()


print(f"""Target names: \n {iris.target_names} """)
print(f"""\n Features: \n {iris.feature_names}""")

# Train set e Test set
A__   :						str 							=     train_test_split(
    iris["""data"""], iris["""target"""], random_state=4
)

# KNN

A__   :						Tuple 							=     KNeighborsClassifier(n_neighbors=1)
knn.fit(X_train, y_train)

# new array to test
A__   :						Tuple 							=     [[1, 2, 1, 4], [2, 3, 4, 5]]

A__   :						Any 							=     knn.predict(X_new)

print(
    f"""\nNew array: \n {X_new}\n\nTarget Names Prediction: \n"""
    f""" {iris["target_names"][prediction]}"""
)







"""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'''

							__lowercase:		Dict				   =     1
							__lowercase:		List[str]				   =     2
							__lowercase:		int				   =     3



							def __repr__(					self				:   Optional[Any]							)       ->Optional[int]:



														"""simple docstring"""



														return F"""{self.__class__.__name__}.{self.name}"""







def     _a					(   _SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)     ->					float:
							snake_case_							,    snake_case_     							=		point
							return degrees(atana(y - miny					,			x - minx					)					)







def     _a					(   _SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)     ->					Direction:
							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     _a					(   _SCREAMING_SNAKE_CASE					)     ->					list[tuple[int, int]]:

							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
							snake_case_     							=		0
							snake_case_							,    snake_case_     							=		maxsize, maxsize
							for i, point in enumerate(_SCREAMING_SNAKE_CASE					):
														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(_SCREAMING_SNAKE_CASE					)

							snake_case_     							=		sorted(_SCREAMING_SNAKE_CASE					,			key=lambda _SCREAMING_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)					)

							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(_SCREAMING_SNAKE_CASE					)					):
														while True:
																					snake_case_     							=		stack[-2]
																					snake_case_     							=		stack[-1]
																					snake_case_     							=		sorted_points[i]
																					snake_case_     							=		check_direction(_SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)

																					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(_SCREAMING_SNAKE_CASE					)



