nmpowell

function qs() {

	# Also use qs as shortcut to qstat -j
	if [ $# -gt 0 ]
		then
			jobNum=$1
			qstat -j ${jobNum}
	fi
	
	# Just one call to qstat; "double quotes" around "${qstat_contents}" below maintain the line breaks

nmpowell

function qda() {
	# Delete all jobs containing $1 in their (shortened) name
	jobName=$1
	# Get list of job numbers
	jobList=$(echo "`qstat`" | grep "${jobName}" | awk '{print $1;}')
	# Delete individually
	for job in ${jobList}
		do
		  qdel ${job}
	done

nmpowell

#!/usr/bin/python

"""Python script to create a histogram of words in a text file.

Usage: python word_frequency.py -f "/path/to/file.txt" -n 200

Specify the path to the text file as above. Manually specify the top N words to report (default 100).

Text file can contain punctuation, new lines, etc., but special characters aren't handled well.

nmpowell

# .bashrc

# simple qsub: assings 8GB memory for 1 hour. Call with: $ nq8 script.sh
alias nq8='qsub -l h_rt=01:00:00 -l tmem=8.0G -l h_vmem=8.0G -l vf=4.0 -l s_stack=10240 -R y -j y -S /bin/csh -b y -cwd -V'

# Shell function to echo the current time along with status updates
echoStatusTime() {
	STATUS_TEXT=$1
	NOW=$(date +%T)
	DATE=$(date +%F)

nmpowell

#!/bin/sh
# matlab_np.sh
#	Shell script to run a Matlab function from the bash shell
#		Ensure Matlab function is on the path first
#		NB Matlab breaks the bash shell, hence stty echo
#		stty echo works by itself; stty sane is just-in-case; haven't confirmed that it's necessary.
#		
#	Example usage: $ matlab_np.sh functionName 'string arg' arg2 ${arg3}...
#	Use with Qsub: $ ${QSUB_CMD} matlab_np.sh functionName arguments
#		NB do not Qsub matlab directly as your arguments won't be passed to the Matlab function

nmpowell

; Some Autohotkey shortcuts I use

#NoEnv
SetWorkingDir %A_ScriptDir%
GroupAdd, Explore, ahk_class CabinetWClass
GroupAdd, Explore, ahk_class ExploreWClass
SetTitleMatchMode, 2

; load many useful global variables
LoadVariables()

nmpowell

"""
Python script to interact with existing Windows Task Scheduler tasks.

CLI usage:
    python windows_task_scheduler.py {enable|disable|run} -t "TaskName"

import usage:
    import windows_task_scheduler as wts
    wts.enable_task(task_name='TaskName')
    wts.disable_task(task_name='TaskName')

nmpowell

{
    "version": 1,
    "disable_existing_loggers": "False",
    "formatters": {
        "simple": {
            "format": "# {asctime} {name:8s} {levelname:6s} {message}",
            "datefmt": "%m/%d/%Y %I:%M:%S %p",
            "style": "{"
        }
    },

nmpowell

# Python snippets to check list contents

# Given two lists, A and B ...

# Check all the items from A are present in B:
set(B).issuperset(set(A))

# Given a list of substrings A and another list of (longer) strings B which might contain those substrings ...
# e.g.
A = ['one', 'two', 'three']

nmpowell

# Python functions to read .CSV files into a Pandas DataFrame when the data of interest is before / after one or more empty/blank lines.

def csv_after_emptylines(filepath, bl_group_n=1, dtype=str):
    """ Read a .CSV into a Pandas DataFrame, but only after at least one blank line has been skipped.

    bl_group_n is the expected number of distinct blocks of blank lines (of any number of rows each) to skip before reading data.

    NB: E.g. pd.read_csv(filepath, skiprows=[0, 1, 2]) works if you know the number of rows to be skipped. Use this function if you have a variable / unknown number of filled rows (to be skipped / ignored) before the empty rows.
    """
    with open(filepath, newline='') as f: