jamesnvc

def replace_template(map, template):
   trie = Trie(map)
   iter = template.__iter__
   for c in iter:
      if c != '$': print c
      else:
         s = iter.next()
         trie.lookup(iter) 
         if replacement:
             print replacement

jamesnvc

> James Cash's Custom Quix Commands
@James Cash's Custom Quix Commands
src   view-source:%r View source natively
insta javascript:function%20iprl5(){var%20d=document,z=d.createElement('scr'+'ipt'),b=d.body,l=d.location;try{if(!b)throw(0);d.title='(Saving...)%20'+d.title;z.setAttribute('src',l.protocol+'//www.instapaper.com/j/pL8VMUDiGTio?u='+encodeURIComponent(l.href)+'&t='+(new%20Date().getTime()));b.appendChild(z);}catch(e){alert('Please%20wait%20until%20the%20page%20has%20loaded.');}}iprl5();void(0) Add to Instapaper

jamesnvc

import media

COLOUR_MAX = 255
COLOUR_MIN = 0

def get_picture():
  '''Solicit user input to select a file and load it as a Picture.
  Return the Picture.
  '''
  filename= media.choose_file()

jamesnvc

import media

COLOUR_MAX = 255
COLOUR_MIN = 0

def get_picture():
  '''Solicit user input to select a file and load it as a Picture.
  Return the Picture.
  '''
  filename= media.choose_file()

jamesnvc

def ReturnExample():
    return 5

x = ReturnExample()
print x # Prints 5

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import media

def sum_red(pic):
        
    total = 0
    
    for p in pic:
        r = media.get_red(p)
        total = r + total
    return total

jamesnvc

# Note that these are just samples, and may not work unmodified...

# Comparing pictures stored in picture_a and picture_b
# Assumes:
#  1. You've already resized the images to the same size
#  2. The width & height of the images are stored in variables of the same names
#  3. The images have been normalized to the same average intensity
#  4. You've written a function named 'intensity' to calculate the intensity of
#     a given pixel

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def adjust_colours(target_pic, reference_pic):
    '''Takes target pic and adjusts it's average RGB values to reference pic's RGB values...
    '''

    target_red_avg = red_average(target_picture)
    reference_red_avg = red_average(reference_picture)
    red_scale_factor = reference_red_avg/target_red_avg

    target_blue_avg = blue_average(target_picture)

jamesnvc

def smart_difference(pic1, pic2):
    '''Take two pictures and tests how similar they are. Excuse the terrible docstrings. They need some work
    '''

    h1 = get_height(pic1)
    h2 = get_height(pic2)
    w1 = get_width(pic1)
    w2 = get_width(pic2)
    
   if (h1 > h2):

jamesnvc

        # Line 254
        if x < media.get_width(picture2) and y < media.get_height(picture2):
            pixel2 = media.get_pixel(picture2, x, y)
        else:
            pixel2 = media.get_pixel(picture2, media.get_width(picture2)-1, media.get_height(picture2)-1)
        sum_of_difference = sum_of_difference + distance(pixel, pixel2)