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jterrace / python IndexedList
Created March 30, 2011 19:34
Class that combines a list and a dict into a single class given a list of properties of the objects in the container
class IndexedList(list):
"""
Class that combines a list and a dict into a single class
- Written by Hugh Bothwell (http://stackoverflow.com/users/33258/hugh-bothwell)
- Original source available at:
http://stackoverflow.com/questions/5332841/python-list-dict-property-best-practice/5334686#5334686
- Modifications by Jeff Terrace
Given an object, obj, that has a property x, this allows you to create an IndexedList like so:
L = IndexedList([], ('x'))
o = obj()
@jterrace
jterrace / aggregate_mesh.py
Created November 1, 2011 18:47
Aggregate vertex data with pycollada
import collada
import sys
import os.path
from itertools import chain
import numpy
def uniqify_multidim_indexes(sourcedata, indices, return_map=False):
"""Just like numpy.unique except that it works with multi-dimensional arrays.
Given a source array and indexes into the source array, will keep only unique
indices into the source array, rewriting the indices to point to the new
@jterrace
jterrace / remove_dup_tris.py
Created November 3, 2011 19:27
Removing duplicate triangles with numpy
import numpy as np
def remove_duplicates(array_data, return_index=False, return_inverse=False):
"""Removes duplicate rows of a multi-dimensional array. Returns the
array with the duplicates removed. If return_index is True, also
returns the indices of array_data that result in the unique array.
If return_inverse is True, also returns the indices of the unique
array that can be used to reconstruct array_data."""
unique_array_data, index_map, inverse_map = np.unique(
array_data.view([('', array_data.dtype)] * \
@jterrace
jterrace / gist:1823320
Created February 14, 2012 03:42
Automatically log in user after django-registration activation
from registration.signals import user_activated
from django.contrib.auth import login, authenticate
def login_on_activation(sender, user, request, **kwargs):
"""Logs in the user after activation"""
user.backend = 'django.contrib.auth.backends.ModelBackend'
login(request, user)
# Registers the function with the django-registration user_activated signal
user_activated.connect(login_on_activation)
@jterrace
jterrace / fuzzymath.py
Created February 14, 2012 18:30
A collection of fuzzy floating point utility functions for Python
import math
def almostEqual(a, b, rtol=1.0000000000000001e-05, atol=1e-08):
"""Checks if the given floats are almost equal. Uses the algorithm
from numpy.allclose."""
return math.fabs(a - b) <= (atol + rtol * math.fabs(b))
def floor(v):
"""Returns the floor of the given number, unless it is equal to its
ceiling (within floating point error)."""
@jterrace
jterrace / shaper.sh
Created February 23, 2012 21:13
A utility script for traffic shaping with tc
#!/bin/bash
#
# shaper.sh
# ---------
# A utility script for traffic shaping using tc
#
# Usage
# -----
# shape.sh start - starts the shaper
# shape.sh stop - stops the shaper
@jterrace
jterrace / lang-llvm.js
Created June 1, 2012 03:40
LLVM plugin for google-code-prettify
/**
* @fileoverview
* Registers a language handler for LLVM.
*
*
* To use, include prettify.js and this file in your HTML page.
* Then put your code in an HTML tag like
* <pre class="prettyprint lang-llvm">(my LLVM code)</pre>
*
*
@jterrace
jterrace / xvfb
Created June 11, 2012 18:46
xvfb init script for Ubuntu
XVFB=/usr/bin/Xvfb
XVFBARGS=":1 -screen 0 1024x768x24 -ac +extension GLX +render -noreset"
PIDFILE=/var/run/xvfb.pid
case "$1" in
start)
echo -n "Starting virtual X frame buffer: Xvfb"
start-stop-daemon --start --quiet --pidfile $PIDFILE --make-pidfile --background --exec $XVFB -- $XVFBARGS
echo "."
;;
stop)
@jterrace
jterrace / debug.py
Created July 19, 2012 16:37
Drops python to a debugger on unhandled exceptions
"""Import this module to make python drop to the debugger
when an undhandled exception is raised.
Original script from:
http://code.activestate.com/recipes/65287/
"""
import sys
__old_excepthook__ = sys.excepthook
@jterrace
jterrace / disk-vs-internet.py
Created August 30, 2012 18:54
Creates a graph comparing disk read throughput to Internet speeds over time
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import rc
rc('text', usetex=True)
rc('font', family='sans-serif')
rc('font', size='16')
# source: http://download.broadband.gov/plan/fcc-omnibus-broadband-initiative-(obi)-technical-paper-broadband-performance.pdf