kaufman.py - Make a convex hull of a base model merged with it's canonical reciprocal

Usage | Examples | Notes

Usage


usage: kaufman.py [-h] [-c] [-E EDGECOLOR] [-V VERTEXCOLOR] [-v] [off_file] n

Make Kaufman Polyhedra. A Kaufman Polyhedra is the convex hull of a base model
merged with it's canonical reciprocal. It is the same as a conway join:
conway j^n input_file | canonical | off_color -f S -m spread

Written by Roger Kaufman <polyhedrasmith@gmail.com>

positional arguments:
  off_file              OFF file or Antiprism built-in model. can also be from
                        standard input
  n                     number of interations. non-negative integer

options:
  -h, --help            show this help message and exit
  -c, --conway          use conway notation join
  -E EDGECOLOR, --edgeColor EDGECOLOR
                        an X11 color name (default: lightgray)
  -V VERTEXCOLOR, --vertexColor VERTEXCOLOR
                        an X11 color name (default: gold)
  -v, --verbose         allow reporting output from canonical

Examples

Do 5 interations of merging base with dual and taking convex hull

kaufman.py cube 5 -v | antiview

Produce the same model a above but use conway notation join operator

kaufman.py cube 5 -c -v | antiview

kaufman was developed by Roger Kaufman. The original intent of the program was to generate a new class of polyhedra. But since these models are just the conway join operation it now serves as an example of how this process works.

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