schlady

#!/bin/sh
sudo update-texmf
sudo texhash
sudo mktexlsr

schlady

#!/bin/bash
### BEGIN INIT INFO
# Provides:           dsmc
# Required-Start:     $local_fs $network $syslog
# Required-Stop:      $local_fs $network $syslog
# Default-Start:      3 5
# Default-Stop:       0 1 2 6
# Short-Description:  Start and stop the Tivoli Storage Client
# Description:        Control the IBM Tivoli Storage Manager Client Schedule instance
### END INIT INFO

schlady

import numpy as np

def peakdetect(y_axis, x_axis = None, lookahead = 500, delta = 0):
    """
    Converted from/based on a MATLAB script at http://billauer.co.il/peakdet.html
    
    Algorithm for detecting local maximas and minmias in a signal.
    Discovers peaks by searching for values which are surrounded by lower
    or larger values for maximas and minimas respectively
    

schlady

def isiterable(obj):
    return hasattr(obj, '__contains__')

schlady

TEX = pdflatex -interaction nonstopmode
BIB = bibtex
GS = gs -q -dNOPAUSE -dBATCH -sDEVICE=pdfwrite 

COVER = cover
PAPER = paper_main
SUPP = paper_supp
BIBFILE = temp.bib
BUNDLE = paper_bundle.pdf

schlady

#!/bin/bash
 ########################################################################
 ## This script is used to start/stop the dsmcad under ubuntu
 ##              The original script was: start/stop mldonkey p2p client
 ##              2007 by Christoph Langner, published under the GPL v3
 ##              published on http://wiki.ubuntuusers.de/MLDonkey
 ## Changed the script to start/stop the dsmcad for ubuntu
 ## 2008 by Timo Scheller, published under the GPL v3
 ## Modified, Feb. 2009 for Ubuntu Server 8.04.2
 ## Modified, Feb. 2010, Fixed to change this ANS4042E: http://www-01.ibm.com/support/docview.wss?uid=swg21290640

schlady

CXXFLAGS=-Wall -Wextra -Werror -DLINUX
CXX_DEBUG_FLAGS=-g3 -DDEBUG_ALL 
CXX_RELEASE_FLAGS=-O3 

.PHONY: debug  
debug: CXXFLAGS+=$(CXX_DEBUG_FLAGS)  
debug: HelloWorldD

.PHONY: release  
release: CXXFLAGS+=$(CXX_RELEASE_FLAGS)

schlady

'''
Code snippet to plot multiple triangle's in Matplotlib using different methods.
'''
import time
import sys
import matplotlib.pyplot as pp
import numpy as np
from matplotlib.collections import PolyCollection
import random
 

schlady

perl -ne '$H{$_}++ or print'

schlady

def filestream(file, interval=1.0):
    with open(file) as f:
        while True:
            where = f.tell()
            line = f.readline()
            if not line:
                time.sleep(interval)
                f.seek(where)
            else:
                yield line