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@danmackinlay
danmackinlay / find-pis
Last active Dec 7, 2019 — forked from chr15m/find-pis
Find Raspberry Pi devices on your local networks.
View find-pis
#!/bin/sh
# https://gist.github.com/danmackinlay/2c970aec992a59eab7dda739b974ea9a
#!/bin/sh
# get broadcast addresses for each network
net=`ifconfig | grep -o -E "Bcast:(.*?) " | cut -f2 -d":"`
# loop over networks running the scan
for n in $net;
View keybase.md

Keybase proof

I hereby claim:

  • I am danmackinlay on github.
  • I am danmackinlay (https://keybase.io/danmackinlay) on keybase.
  • I have a public key ASBW9iWVglwJj-mtImYHR5uYigzQc-aCyVHThu_sQN9umAo

To claim this, I am signing this object:

@danmackinlay
danmackinlay / README.md
Created Oct 18, 2016
Fork of Alfred Klomp's excellent shrinkPdf.sh
View README.md

Usage

Download the script by clicking the filename at the top of the box. Make it executable. If you run it with no arguments, it prints a usage summary. If you run it with a single argument – the name of the pdf to shrink – it writes the result to stdout:

./shrinkpdf.sh in.pdf > out.pdf

You can also provide a second filename for the output:

@danmackinlay
danmackinlay / gpd.py
Created Oct 5, 2016
Generalized Poisson Distribution for scipy.
View gpd.py
import numpy as np
from scipy.stats import rv_discrete
from scipy.special import gamma, gammaln
class gpd_gen(rv_discrete):
"""
A Lagrangian Generalised Poisson-Poisson distribution.
``eta`` is the branching ratio,
@danmackinlay
danmackinlay / serialization.R
Created Feb 1, 2015
pas ssparse matrices between R and Python
View serialization.R
library(rhdf5)
load.sparse.hdf = function (filename, path) {
idx = as.vector(h5read(filename, paste(path, "v_indices", sep="/")))
idxptr = as.vector(h5read(filename, paste(path, "v_indptr", sep="/")))
vals = as.vector(h5read(filename, paste(path, "v_data", sep="/")))
dims = as.vector(h5read(filename, paste(path, "v_datadims", sep="/")))
col.names = h5read(filename, paste(path, "v_col_names", sep="/"))
data = sparseMatrix(
@danmackinlay
danmackinlay / long_exposure.py
Last active Aug 29, 2015
Dirty hack to fake long exposure from a quicktime movie
View long_exposure.py
import os
import tempfile
import subprocess
import skimage
from skimage import exposure
import skimage.io as io
import argparse
import shutil
import numpy as np
View mysql2sqlite.sh
#!/bin/sh
# Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the
# CREATE block and create them in separate commands _after_ all the INSERTs.
# Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk.
# The mysqldump file is traversed only once.
# Usage: $ ./mysql2sqlite mysqldump-opts db-name | sqlite3 database.sqlite
# Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase | sqlite3 database.sqlite
View peakdetect.py
import numpy as np
from math import pi, log
import pylab
from scipy import fft, ifft
from scipy.optimize import curve_fit
i = 10000
x = np.linspace(0, 3.5 * pi, i)
y = (0.3*np.sin(x) + np.sin(1.3 * x) + 0.9 * np.sin(4.2 * x) + 0.06 *
np.random.randn(i))
@danmackinlay
danmackinlay / gist:1954656
Created Mar 2, 2012
gpu kernel panic report
View gist:1954656
Fri Mar 2 11:04:59 2012
panic(cpu 0 caller 0xffffff7f80a87907): NVRM[0/1:0:0]: Read Error 0x00000100: CFG 0xffffffff 0xffffffff 0xffffffff, BAR0 0xc0000000 0xffffff8115c2d000 0x0a5480a2, D0, P3/4
Backtrace (CPU 0), Frame : Return Address
0xffffff811560ae70 : 0xffffff8000220702
0xffffff811560aef0 : 0xffffff7f80a87907
0xffffff811560af80 : 0xffffff7f80b77a64
0xffffff811560afd0 : 0xffffff7f80b77b24
0xffffff811560b030 : 0xffffff7f80e24749
0xffffff811560b170 : 0xffffff7f80b96bad
0xffffff811560b1a0 : 0xffffff7f80a91282
View log.sc
/*
* file-based loggers, because logging to a GUI window is no good when SuperCollide does its segfault thing.
*/
NullLogger {
/* this parent class provdes a black hole logger so that you can stop
logging without changing code. */
formatMsg {|msgs|
var stampedMsgs = msgs;
//A nil in the first msg argument will be replaced by a datestamp
msgs[0].isNil.if({
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