perrygeo

From 8a0bcc6425e0e1865f09a10faec3a224d91a8ccc Mon Sep 17 00:00:00 2001
From: Matthew Perry <[email protected]>
Date: Mon, 13 Feb 2012 15:28:06 -0800
Subject: [PATCH] Allow dynamic callbacks for jsonp

---
 TileStache/__init__.py |   12 +++++++++++-
 1 files changed, 11 insertions(+), 1 deletions(-)

diff --git a/TileStache/__init__.py b/TileStache/__init__.py

perrygeo

# Removes whitespace chars from blank lines
pep8 -r --select=W293 -q --filename=*.py /usr/local/src/madrona/madrona/ | xargs sed -i 's/^[ \r\t]*$//'

# Removes trailing blank lines from files
pep8 -r --select=W391 -q --filename=*.py /usr/local/src/madrona/madrona/ | xargs sed -i -e :a -e '/^\n*$/{$d;N;ba' -e '}'

# Squashes consecutive blanks lines into one
pep8 -r --select=E303 -q --filename=*.py /usr/local/src/madrona/madrona/ | xargs sed -i '/./,/^$/!d'

# confirm

perrygeo

# Find the ten largest disk hogs in the current directory (with human-readable sizes)
for X in $(du -s * 2>/dev/null| sort -nr | cut -f 2); do du -hs $X 2>/dev/null; done | head -n 10

perrygeo

pep8 --statistics -qq --filename=*.py /usr/local/src/madrona/madrona/
pep8 --select=E202,E201 --repeat . > ~/pep8.txt
vim -q ~/pep8.txt
# :map z :cn
# type z to cycle through all instances; puts your cursor right on the spot

perrygeo

import numpy as np
from scipy.spatial import KDTree

def run_kdtree(ndim=8,npnts=500000):
    """ 
    given a set of random n-dimensional points, 
    find the closest one to a given point
    """
    print "Creating %d %d-dimensional points" % (npnts, ndim)

perrygeo

#!/usr/bin/python
#reddit wallpaper rotate #Scialex
import json, gconf, syslog, os, random
from urllib2 import urlopen

SAVE_LOCATION = os.path.join(os.path.expanduser('~'), '.background_getter')
GCONF_KEY = '/desktop/gnome/background/picture_filename'
PICTURE_ENDINGS=['png','jpg','gif']
JSON_PAGE = 'http://www.reddit.com/r/earthporn.json' # '+' seperated
IMGUR_JSON_FORMAT = "http://api.imgur.com/2/image/{0}.json"

perrygeo

from django.core.cache import cache as _djcache
def cache_function(seconds=6000):
    """
        Cache the result of a function call for the specified number of seconds, 
        using Django's caching mechanism.
        Assumes that the function never returns None (as the cache returns None to indicate a miss), 
          and that the function's result only depends on its parameters.
        Note that the ordering of parameters is important. 
          e.g. myFunction(x = 1, y = 2), myFunction(y = 2, x = 1), and myFunction(1,2) will each be cached separately. 

perrygeo

# See http://stackoverflow.com/questions/804538/tool-to-determine-what-lowest-version-of-python-required
# https://github.com/ghewgill/pyqver

wget https://raw.github.com/ghewgill/pyqver/master/pyqver2.py
find /path/to/project/ -name "*.py" | xargs python pyqver2.py | sort > versions.txt
tail versions.txt
# last line will show you the minimum version required 

perrygeo

library(RSQLite)
con <- dbConnect("SQLite", dbname = "/Users/perry/Library/GoldenCheetah/MattPerry/metricDB")
d <-dbGetQuery(con, "select * from metrics")

# Correlate heartrate and time riding with "bike score"
cor((d$Xaverage_hr / LTHR) ^2 * (d$Xtime_riding/3600 * 100), d$Xskiba_bike_score)

perrygeo

# ^M is entered using Ctrl-V Ctrl-M
grep -IUrl "^M" sourcecode/* | xargs dos2unix