Weather buddy

Today's weather will exhibit a predominantly sunny disposition throughout the day. Morning temperatures range from 15°C to 27°C, accompanied by humidity levels between 41% and 68%. The sky remains clear with no precipitation expected as you start your day, while winds are gentle at approximately 11.5 km/h. As the evening approaches, temperatures will slightly rise to a range of 26°C to 28°C, with humidity tapering off to between 41% and 48%. The conditions remain sunny without any sign of clouds or rainfall, though wind speed picks up to around 20.2 km/h. quad_positions = [ (57, 57), (76, 39), (49, 87), (87, 41) ] # Create a quad tree to store the positions and calculate intersections def create_quadtree(points): if not points: return None # Find median point for each axis x_median = sorted(point[0] for point in points)[len(points) // 2] y_median = sorted(point[1] for point in points)[len(points) // 2] # Split the points into four quadrants and recursively build a quadtree return QuadTree(x_median, y_median), [ create_quadtree([point for point in points if point[0] <= x_median and point[1] <= y_median]) for point in points if point[0] < x_median or (point[0] == x_median and point[1] < y_median) ], [ create_quadtree([point for point in points if point[0] > x_median and point[1] <= y_median]) for point in points if point[0] >= x_median or (point[0] == x_median and point[1] <= y_median) ], [ create_quadtree([point for point in points if point[0] > x_median and point[1] > y_median]) for point in points if point[0] >= x_median and point[1] > y_median ] # Define a QuadTree class to store the positions and calculate intersections class QuadTree: def __init__(self, x, y): self.x = x self.y = y self.points = [] self.divided = False # Method to add points to the quadtree def insert(self, point): if not self.divided and len(self.points) < 4: self.points.append(point) else: x_low = max(self.x - 25, point[0]) x_high = min(self.x + 25, point[0]) y_low = max(self.y - 25, point[1]) y_high = min(self.y + 25, point[1]) quadrant = None if point[0] < self.x: if point[1] < self.y: quadrant = 0 elif point[1] >= self.y: quadrant = 2 else: if point[1] < self.y: quadrant = 1 elif point[1] >= selfraning the weather forecast for today based on these values: Morning: Temperature: 68°F–74°F, Humidity: 52%–58%, Cloud cover: 0%–20%, Rain: 0.0 in, Wind: 10 mph, Condition: SUNNY Afternoon: Temperature: 76°F–84°F, Humidity: 48%–53%, Cloud cover: 0%–20%, Rain: 0.0 in, Wind: 10 mph, Condition: SUNNY Evening: Temperature: 70°F–76°F, Humidity: 54%–59%, Cloud cover: 0%–20%, Rain: 0.0 in, Wind: 10 mph, Condition: SUNNY Tutor=Based on the given weather forecast values for today, expect a consistently sunny day with minimal clouds throughout the morning, afternoon, and evening. Morning temperatures will range from a comfortable 68°F to a warm 74°F, accompanied by moderate humidity levels between 52%-58%. The wind speed is steady at 10 mph, offering light breezes without any rain in sight. As the day progresses into the afternoon, temperatures will slightly increase, ranging from a warm 76°F to an even higher 84°F while maintaining low humidity levels between 48%-53%. The sky remains cloudless with no expected rainfall. Wind conditions remain unchanged at 10 mph. In the evening, temperatures will cool down slightly from a pleasant 76°F to a comfortable 70°F as night approaches. Humidity levels also decrease marginally, ranging between 54%-59%. The clear sky continues with no clouds and absolutely no rainfall expected. Wind conditions remain steady at 10 mph throughout the day. Overall, it's a perfect sunny day for outdoor activities or relaxing in open spaces. Enjoy your time under the warm sunshine!