answer:import cv2 import numpy as np def compare_images(img1_path, img2_path): Compares two images and returns a similarity score using Mean Squared Error (MSE). Parameters: - img1_path: str, path to the first image - img2_path: str, path to the second image Returns: - float, similarity score (lower score means more similar) # Read images img1 = cv2.imread(img1_path) img2 = cv2.imread(img2_path) # Ensure the images have the same dimensions if img1.shape != img2.shape: raise ValueError("Images must have the same dimensions for comparison.") # Calculate Mean Squared Error (MSE) mse = np.mean((img1 - img2) ** 2) return mse

answer:import turtle def draw_arm_segment(length): Draw a single segment of the robot arm. Args: - length (int): The length of the arm segment. turtle.forward(length) def set_segment_angle(angle): Set the angle of a single segment of the robot arm. Args: - angle (int): The angle to turn the segment. turtle.right(angle) def draw_robot_arm(length1, angle1, length2, angle2): Draws a two-segment robot arm using the turtle graphics library. Args: - length1 (int): The length of the first segment. - angle1 (int): The angle of the first segment. - length2 (int): The length of the second segment. - angle2 (int): The angle of the second segment. turtle.reset() # Resets the turtle to the original state draw_arm_segment(length1) set_segment_angle(angle1) draw_arm_segment(length2) set_segment_angle(angle2) turtle.done()

answer:def handle_input(input_value): Handles the input by calling different functions based on the type of input_value. if isinstance(input_value, int): return handle_int(input_value) elif isinstance(input_value, str): return handle_str(input_value) elif isinstance(input_value, list): return handle_list(input_value) else: raise ValueError("Unsupported input type") def handle_int(value): Handle input of type int. return value * 2 def handle_str(value): Handle input of type str. return value[::-1] def handle_list(value): Handle input of type list. return [item * 2 for item in value]

answer:def count_palindromic_substrings(s): Counts the number of palindromic substrings in the given string. Parameters: s (str): The input string. Returns: int: The count of palindromic substrings. n = len(s) count = 0 # Helper function to count palindromes around the center def count_palindromes_around_center(left, right): nonlocal count while left >= 0 and right < n and s[left] == s[right]: count += 1 left -= 1 right += 1 for i in range(n): # Count odd length palindromes (single character center) count_palindromes_around_center(i, i) # Count even length palindromes (center between characters) count_palindromes_around_center(i, i + 1) return count