task.py

# -------------
# User Instructions
#
# Now you will be incorporating fixed points into
# your smoother. 
#
# You will need to use the equations from gradient
# descent AND the new equations presented in the
# previous lecture to implement smoothing with
# fixed points.
#
# Your function should return the newpath that it
# calculates. 
#
# Feel free to use the provided solution_check function
# to test your code. You can find it at the bottom.
#
# --------------
# Testing Instructions
# 
# To test your code, call the solution_check function with
# two arguments. The first argument should be the result of your
# smooth function. The second should be the corresponding answer.
# For example, calling
#
# solution_check(smooth(testpath1), answer1)
#
# should return True if your answer is correct and False if
# it is not.

from math import *

# Do not modify path inside your function.
path=[[0, 0], #fix 
      [1, 0],
      [2, 0],
      [3, 0],
      [4, 0],
      [5, 0],
      [6, 0], #fix
      [6, 1],
      [6, 2],
      [6, 3], #fix
      [5, 3],
      [4, 3],
      [3, 3],
      [2, 3],
      [1, 3],
      [0, 3], #fix
      [0, 2],
      [0, 1]]

# Do not modify fix inside your function
fix = [1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0]

######################## ENTER CODE BELOW HERE #########################

def smooth(path, fix, weight_data = 0.0, weight_smooth = 0.1, tolerance = 0.00001):
    #
    # Enter code here. 
    # The weight for each of the two new equations should be 0.5 * weight_smooth
    #



#thank you - EnTerr - for posting this on our discussion forum

#newpath = smooth(path, fix)
#for i in range(len(path)):