I hereby claim:
- I am di on github.
- I am dustingram (https://keybase.io/dustingram) on keybase.
- I have a public key whose fingerprint is 321D E2BA 9BA7 5C06 AF95 53F6 93D2 B8D4 930A 5E39
To claim this, I am signing this object:
#!/usr/bin/python | |
# Gist-test by Dustin Ingram | |
def main() : | |
print "%s,%s" % ('Hello', 'World') | |
if __name__ == "__main__" : | |
main() : |
import java.io.File; | |
import java.io.IOException; | |
import com.android.ddmlib.AndroidDebugBridge; | |
import com.android.ddmlib.IDevice; | |
import com.android.ddmlib.RawImage; | |
import com.android.ddmlib.AndroidDebugBridge.IDeviceChangeListener; | |
import java.awt.Dimension; | |
import java.awt.image.BufferedImage; |
#!/usr/bin/python | |
def z(a, c): | |
r[a] = 0 | |
return c + 1 | |
def i(a, c): | |
r[a] += 1 | |
return c + 1 | |
#!/usr/bin/python | |
import random | |
class ball: | |
def __init__(self, color): | |
self.color = color | |
self.examined = 0 | |
<html> | |
<head> | |
<script type="text/javascript"> | |
function reloadpic() { | |
document.images["screen"].src = "screen.png?random=" + new Date().getTime(); | |
setTimeout("reloadpic();", 500); | |
} | |
onload = reloadpic; | |
</script> | |
</head> |
#!/home/dustin/bin/py | |
from skein import skein1024 | |
import random, string | |
import requests | |
a="0"+bin(int('5b4da95f5fa08280fc9879df44f418c8f9f12ba424b7757de02bbdfbae0d4c4fdf9317c80cc5fe04c6429073466cf29706b8c25999ddd2f6540d4475cc977b87f4757be023f19b8f4035d7722886b78869826de916a79cf9c94cc79cd4347d24b567aa3e2390a573a373a48a5e676640c79cc70197e1c5e7f902fb53ca1858b6',16))[2:] | |
def rando(): | |
c = string.digits+string.ascii_letters |
ac | |
ad | |
ae | |
af | |
ag | |
ai | |
al | |
am | |
an | |
ao |
class Date: | |
def __init__(self, day, month): | |
self.day = day | |
self.month = month | |
def __repr__(self): | |
return "(%d, %s)" % (self.day, self.month) | |
dates = [ | |
Date(15, 'may'), | |
Date(16, 'may'), |
I hereby claim:
To claim this, I am signing this object:
import cv2 | |
import numpy as np | |
img = cv2.imread("coins.png", cv2.IMREAD_GRAYSCALE) | |
circles = cv2.HoughCircles( | |
img, | |
cv2.cv.CV_HOUGH_GRADIENT, | |
dp=1.5, | |
minDist=30, |