Autumn in Canada: NAPLPS

NAPLPS rendered in PP3

My OpenProcessing demo “autumn in canada”, redone as a NAPLPS playback file. Yes, it would have been nice to have outlined leaves, but I’ve only got four colours to play with that are vaguely autumnal in NAPLPS’s limited 2-bit RGB.

Played back via dosbox and PP3, with help from John Durno‘s very useful Displaying NAPLPS Graphics on a Modern Computer: Technical Note.

This file only displays 64 leaves, as more leaves caused the emulated Commodore 64 NAPLPS viewer I was running to crash.

The glorious futility of generating NAPLPS in 2023

Yeah! Actual real NAPLPS made by me!

NAPLPS — an almost-forgotten videotex vector graphics format with a regrettable pronunciation (/nap-lips/, no really) — was really hard to create. Back in the early days when it was a worthwhile Canadian initiative called Telidon (see Inter/Access’s exhibit Remember Tomorrow: A Telidon Story) it required a custom video workstation costing $$$$$$. It got cheaper by the time the 1990s rolled round, but it was never easy and so interest waned.

I don’t claim what I made is particularly interesting:

a lo-res red maple leaf in the bottom left corner of a black screen
suspiciously canadian

but even decoding the tutorial and standards material was hard. NAPLPS made heavy use of bitfields interleaved and packed into 7 and 8-bit characters. It was kind of a clever idea (lower resolution data could be packed into fewer bytes) but the implementation is quite unpleasant.

A few of the references/tools/resources I relied on:

Here’s the fragment of code I wrote to generate the NAPLPS:

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# draw a disappointing maple leaf in NAPLPS - scruss, 2023-09

# stylized maple leaf polygon, quite similar to
# the coordinates used in the Canadian flag ...
maple = [
    [62, 2],
    [62, 35],
    [94, 31],
    [91, 41],
    [122, 66],
    [113, 70],
    [119, 90],
    [100, 86],
    [97, 96],
    [77, 74],
    [85, 114],
    [73, 108],
    [62, 130],
    [51, 108],
    [39, 114],
    [47, 74],
    [27, 96],
    [24, 86],
    [5, 90],
    [11, 70],
    [2, 66],
    [33, 41],
    [30, 31],
    [62, 35],
]


def colour(r, g, b):
    # r, g and b are limited to the range 0-3
    return chr(0o74) + chr(
        64
        + ((g & 2) << 4)
        + ((r & 2) << 3)
        + ((b & 2) << 2)
        + ((g & 1) << 2)
        + ((r & 1) << 1)
        + (b & 1)
    )


def coord(x, y):
    # if you stick with 256 x 192 integer coordinates this should be okay
    xsign = 0
    ysign = 0
    if x < 0:
        xsign = 1
        x = x * -1
        x = ((x ^ 255) + 1) & 255
    if y < 0:
        ysign = 1
        y = y * -1
        y = ((y ^ 255) + 1) & 255
    return (
        chr(
            64
            + (xsign << 5)
            + ((x & 0xC0) >> 3)
            + (ysign << 2)
            + ((y & 0xC0) >> 6)
        )
        + chr(64 + ((x & 0x38)) + ((y & 0x38) >> 3))
        + chr(64 + ((x & 7) << 3) + (y & 7))
    )


f = open("maple.nap", "w")
f.write(chr(0x18) + chr(0x1B))  # preamble

f.write(chr(0o16))  # SO: into graphics mode

f.write(colour(0, 0, 0))  # black
f.write(chr(0o40) + chr(0o120))  # clear screen to current colour

f.write(colour(3, 0, 0))  # red

# *** STALK ***
f.write(
    chr(0o44) + coord(maple[0][0], maple[0][1])
)  # point set absolute
f.write(
    chr(0o51)
    + coord(maple[1][0] - maple[0][0], maple[1][1] - maple[0][1])
)  # line relative

# *** LEAF ***
f.write(
    chr(0o67) + coord(maple[1][0], maple[1][1])
)  # set polygon filled
# append all the relative leaf vertices
for i in range(2, len(maple)):
    f.write(
        coord(
            maple[i][0] - maple[i - 1][0], maple[i][1] - maple[i - 1][1]
        )
    )

f.write(chr(0x0F) + chr(0x1A))  # postamble
f.close()

There are a couple of perhaps useful routines in there:

  1. colour(r, g, b) spits out the code for two bits per component RGB. Inputs are limited to the range 0–3 without error checking
  2. coord(x, y) converts integer coordinates to a NAPLPS output stream. Best limited to a 256 × 192 size. Will also work with positive/negative relative coordinates.

Here’s the generated file: