input: Write a python function to compare two images and return True if they are identical within a specified error margin.
  assert compare("image1.png", "image1_copy.png", error=0) == True
  assert compare("image1.png", "image2.png", error=5) == False
  assert compare("image1.png", "image3.png", error=10) == True
output: from PIL import Image
  import numpy as np
  
  def compare(image1_path, image2_path, error=0):
      image1 = Image.open(image1_path).convert('RGB')
      image2 = Image.open(image2_path).convert('RGB')
      
      if image1.size != image2.size:
          return False
      
      image1_np = np.array(image1)
      image2_np = np.array(image2)
      
      diff = np.abs(image1_np - image2_np)
      num_diff_pixels = np.sum(diff > error)
      
      return num_diff_pixels == 0