zooid

## MIT License
##
## Copyright 2014 Nicco Kunzmann
##
## Permission is hereby granted, free of charge, to any person obtaining a copy of this
## software and associated documentation files (the "Software"), to deal in the Software
## without restriction, including without limitation the rights to use, copy, modify, merge,
## publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons
## to whom the Software is furnished to do so, subject to the following conditions:
##

zooid

'create an arraylist
Set list = CreateObject("System.Collections.ArrayList")

'add values
list.add "mike"
list.add "jeremy"
list.add "kate"
list.add "alice"

'add a bunch of values easily via custom sub

zooid

def list_to_tree(input, none_and_holes=True, source=[0]):
    """Transforms nestings of lists or tuples to a Grasshopper DataTree"""
    from Grasshopper import DataTree as Tree
    from Grasshopper.Kernel.Data import GH_Path as Path
    from System import Array
    def proc(input,tree,track):
        path = Path(Array[int](track))
        if len(input) == 0 and none_and_holes: tree.EnsurePath(path); return
        for i,item in enumerate(input):
            if hasattr(item, '__iter__'): #if list or tuple

zooid

def hex_to_rgb(hex):
     hex = hex.lstrip('#')
     hlen = len(hex)
     return tuple(int(hex[i:i+hlen/3], 16) for i in range(0, hlen, hlen/3))

zooid

# ported from http://www.gizma.com/easing/
# by http://th0ma5w.github.io
#
# untested :P


import math

linearTween = lambda t, b, c, d : c*t/d + b

zooid

In response to a StackOverflow question:

Overlaying on a 3D fullscreen application

This is code to build a Direct3D wrapper DLL, intercepting all calls to Direct3D interface functions so that you can draw your own objects to display over the game. Just plop the DLL into the same folder as the game's executable, and it should load it as if it were the real d3d9.dll file. It still forwards all calls to the real one in system32, just allows stuff to happen in between. original stackoverflow answer

zooid

Cython

Cython has two major benefits:

1. Making python code faster, particularly things that can't be done in scipy/numpy
2. Wrapping/interfacing with C/C++ code

Cython gains most of it's benefit from statically typing arguments. However, statically typing is not required, in fact, regular python code is valid cython (but don't expect much of a speed up). By incrementally adding more type information, the code can speed up by several factors. This gist just provides a very basic usage of cython.

zooid

# Script below is based on following post:
# IronPython: EXE compiled using pyc.py cannot import module "os" - Stack Overflow
# http://stackoverflow.com/questions/6195781/ironpython-exe-compiled-using-pyc-py-cannot-import-module-os

import sys
sys.path.append('d:/projects/SomeProject/Libs/IronPython')
sys.path.append('d:/projects/SomeProject/Libs/IronPython/Lib')
sys.path.append('d:/projects/SomeProject/Libs/IronPython/Tools/Scripts')
import clr

zooid

if ScoreLast > highscore_dict["easy"]["1"]["score"]:
			highscore_dict["easy"]["10"]["user"] = highscore_dict["easy"]["9"]["user"]
			highscore_dict["easy"]["10"]["score"] = highscore_dict["easy"]["9"]["score"]
			highscore_dict["easy"]["9"]["user"] = highscore_dict["easy"]["8"]["user"]
			highscore_dict["easy"]["9"]["score"] = highscore_dict["easy"]["8"]["score"]
			highscore_dict["easy"]["8"]["user"] = highscore_dict["easy"]["7"]["user"]
			highscore_dict["easy"]["8"]["score"] = highscore_dict["easy"]["7"]["score"]
			highscore_dict["easy"]["7"]["user"] = highscore_dict["easy"]["6"]["user"]
			highscore_dict["easy"]["7"]["score"] = highscore_dict["easy"]["6"]["score"]
			highscore_dict["easy"]["6"]["user"] = highscore_dict["easy"]["5"]["user"]

zooid

$/
  artifacts/
  build/
  docs/
  lib/
  packages/
  samples/
  src/
 tests/