'''
This function is an rle to mask converter.
You supply the rle string for one mask, along with it's height and width
from the solutions for stage1 and it will return the mask.
'''

import numpy as np # linear algebra

def rleToMask(rleString,height,width):
  rows,cols = height,width
  rleNumbers = [int(numstring) for numstring in rleString.split(' ')]
  rlePairs = np.array(rleNumbers).reshape(-1,2)
  img = np.zeros(rows*cols,dtype=np.uint8)
  for index,length in rlePairs:
    index -= 1
    img[index:index+length] = 255
  img = img.reshape(cols,rows)
  img = img.T
  return img