dilawar

#   Screen Options   ##
shell bash                      # Tell screen your default shell
startup_message off             # Turn off start message
defscrollback = 5000
shelltitle '$ |bash'    # Dynamic window titled for running program
msgwait 1                 # Set messages timeout to one second
nethack on                               # Turn on nethack error messages
backtick 0 0 0 whoami                           # Set "%0`" to equal the output of "whoami"

escape ^Oo

dilawar

#!/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

dilawar

#!/bin/bash 

# This script record your desktop. It calculates your screen resoltion and saves
# the video in ~/Video/output.mkv file. 
# dilawar@ee.iitb.ac.in

Xaxis=$(xrandr -q | grep '*' | uniq | awk '{print $1}' |  cut -d 'x' -f1)
Yaxis=$(xrandr -q | grep '*' | uniq | awk '{print $1}' |  cut -d 'x' -f2)
ffmpeg -f x11grab -s $(($Xaxis))x$(($Yaxis)) -r 25 -i :0.0 -sameq ~/Video/output.mkv

dilawar

# 1 "ZombieReac.cpp"
# 1 "/home/dilawar/Work/NCBS/moose_svn1.7/moose/branches/async_multiscale_cmake/ksolve//"
# 1 "<command-line>"
# 1 "/usr/include/stdc-predef.h" 1 3 4
# 30 "/usr/include/stdc-predef.h" 3 4
# 1 "/usr/include/i386-linux-gnu/bits/predefs.h" 1 3 4
# 31 "/usr/include/stdc-predef.h" 2 3 4
# 1 "<command-line>" 2
# 1 "ZombieReac.cpp"
# 10 "ZombieReac.cpp"

dilawar

#!/usr/bin/env python

try:
    import ConfigParser as cfg
except:
    import configparser as cfg

import os
import json
import sys

dilawar

M1719: |Labc|Ldce|Ebze| 0.20 0.30 0.32 0.32 0.32 0.32 0.263296394963 0.111387109786 0.470177600114 0.029771700191 0.173209325064 3.28129207574

dilawar

"""
Animation of a head slicing.

Based on a BSD-like licenced code by Gael Varoquaux
http://docs.enthought.com/mayavi/mayavi/auto/example_mri.html

Result:
http://i.imgur.com/EJZELfi.gif
"""

dilawar

# Generate noise frames
# dependencies: psychopy, python-numpy, python-pyglet
from numpy import random 
from psychopy import visual

# create a window
win = visual.Window([800, 600], monitor="testMonitor", units="deg")

maskDuration = 180 # Duration of mask in frames
visualNoiseSize = 512 # Dimension in pixels of visual noise. Must be a power of 2

dilawar

"""query.py: 

    Searches each row of query sheet in columns of database sheet.

"""
    
__author__           = "Dilawar Singh"
__copyright__        = "Copyright 2015, Dilawar Singh and NCBS Bangalore"
__credits__          = ["NCBS Bangalore"]
__license__          = "GNU GPL"

dilawar

def count_spikes(tables, threshold):
    '''Count the number of spikes, also pupulate the spikeTables '''
    nSpikes = 0
    spikeBegin = False
    spikeEnds = False
    clock = moose.Clock('/clock')
    for tname in tables:
        t = tables[tname]
        dt = clock.currentTime / len(t.vector)
        spikeList = []