IOCCC image by Matt Zucker

The International Obfuscated C Code Contest

2011/zucker - Most shiny

Text raytracing

Author:

To build:

    make

There is an alternate version which should work for Windows which distinguishes binary mode from text mode. See alternate code below.

To use:

    ./zucker > image.ppm

Now open image.ppm with your image viewer of choice.

Try:

    ./try.sh

After running try.sh, open the PPM images ioccc.ppm, hello.ppm and image2.ppm with your image viewer of choice.

Alternate code:

This version uses the Windows functions _setmode() and _fileno() to set binary mode on stdout which the author noted would be necessary for systems that distinguish binary and text.

Alternate build:

    make alt

Alternate use:

Use zucker.alt as you would zucker above.

Alternate try:

Try zucker.alt instead of zucker above.

Judges’ remarks:

The rendered image is centered and is output as a 600 by 220 pixel PPM. The vector font is proportional.

This entry uses no local variables. None! At! All!

Author’s remarks:

An image generator

What it does:

This program makes pretty pictures. To see the default output, try running

    ./zucker > ioccc2011.ppm

On the author’s 2.5 GHz MacBook Pro, this command takes approximately 1 minute and 18 seconds to run – your runtime may vary. You will need an image viewer capable of displaying Netpbm images in order to display the output. On the Mac, the system supplied Preview.app works well; otherwise ImageMagick and/or GraphicsMagick are both capable of displaying Netpbm files, and are available on multiple platforms.

With macOS you can type at the command line:

    open ioccc2021.ppm

and it will open image in the default application Preview.app.

To use ImageMagick you might do something like:

    convert ioccc2011.ppm ioccc2011.png

and then open ioccc2011.png in your viewer of choice.

To use GraphicsMagick you might do something like:

    gm convert ioccc2011.ppm ioccc2011.png

and then open ioccc2011.png in your viewer of choice.

Aside from the default image, you may create your own by running the program as follows:

    ./zucker "your text" > image.ppm

To mitigate long runtime, the program can be invoked in a “preview” mode by appending -preview to the command line arguments, like so:

    ./zucker faster\! -preview > image.ppm

If your platform distinguishes between binary and text streams, you may need to insert some code to reopen standard output in binary mode at the start of main() (the provided alternate version will set binary mode on stdout in Windows). An ASCII platform is assumed.

Pedagogical value:

This program is quite suitable for the inexperienced programmer, due to a number of considerations:

NOTICE to those who wish for a greater challenge:

If you want a greater challenge, don’t read any further: just try to understand the program via the source.

If you get stuck, come back and read below for additional hints and information.

How this entry works:

The program is not quite a traditional ray tracer, but a “sphere tracer” which uses distance fields to encode proximity to objects in the scene. Using sphere tracing to compute visibility instead of analytic ray tracing provides two advantages: first, it greatly eases the computation of ray-torus intersection (which would otherwise require solving a quartic polynomial), and second, it makes it possible to compute ambient occlusion (which is used to generate soft shadows). Unlike many traditional ray tracers and sphere tracers, this one uses iteration instead of recursion to compute the effect of reflections. This, unfortunately, resulted in the programmer going insane; however, program size was reduced and readability hindered. Neither the plaintext for the program’s default output nor for the Netpbm header appears in the program source, which hinders readability as well. Also, unlike some previous IOCCC entries which render ASCII text, this one uses a vector (as opposed to raster) font. Although the program does not generate uppercase letters, it handles them in a reasonable manner when they appear in the input.

Even when the program is pretty-printed and preprocessor macros are translated, it should be fairly resistant to analysis due to reckless reuse of global variables, the inherently opaque nature of the math, and its overall density. Global variables are used to store the results of intermediate computation. As a result, seemingly simple functions have important side effects. Although some of the global variables are simply constants, their use is overloaded. For instance, the variable X is used both as the number 40 and as the ASCII character '('. Maintainability is hindered due to hardcoding several aspects of the program in multiple locations. As an example, it is impossible to modify either the image width or height without changing the source in at least three different places, including inside the large string literal J.

Some of the functions are simple vector algebraic operations such as vector construction, dot product, and normalization. However, it was found to be much more compact to define a single operation for multiply-and-add rather than to have separate functions for addition, subtraction, and scaling. Again, compactness led to obfuscation.

This program heavily abuses for loops. The comma operator is used to get as much mileage as possible out of statements inside of loop declarations. Between for loops, the comma operator, and the ternary operator, it was possible to avoid if and while altogether.

Bitwise and arithmetic operators are used instead of logical operators whenever gcc doesn’t warn about it. Conversely, integer multiplication, division, and modulus are sometimes used in place of traditional bitwise operators just to keep the reader on his or her toes. Automatic casting between characters, integers, and floats is performed just about everywhere. Fascinatingly, this doesn’t seem to affect performance too badly. Sometimes when an explicit cast (i.e. from float to int) is needed, the program instead simply assigns to a free variable of the desired type instead. Both the array[index] and index[array] notations are used interchangeably throughout the program.

Two other programs were written to support development of this program. The first used a randomized search algorithm to deduce the most compact encoding of the vector font instructions into ASCII; the second used a modified form of the Knuth-Plass algorithm to layout the final text on top of a hand-generated ASCII “stencil”. The programs were not submitted as entries for this year’s IOCCC, not because they lack obfuscation, but because neither is written in C (they are in C++ and Python, respectively).

Inventory for 2011/zucker

Primary files

Secondary files


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