jorgerance

#!/bin/bash

source $HOME/.env/old_dot_custom/fx_msgFormatting.sh

_scriptname="$(basename $0)"
_forceKill=$1
_stringtokill="$@"

function pidlist_gen() {
    ps -eo pid= -o cputime= -o comm= | grep -v grep | grep -i ${_stringtokill}

jorgerance

#!/usr/bin/env bash

# Define ANSI color escape code
# color <ansi_color_code>

color() { printf "\033[${1}m"; }

# No Color
NO_COLOR=$(color "0")
NC=${NO_COLOR}

jorgerance

#!/usr/bin/env bash

## Output formatting helper for bash

source ~/.env/bash_helpers/vars_colours.sh

## Get exit status of process that's piped to another
set -o pipefail

## fx

jorgerance

#!/bin/bash

# Source bash output formatting helper
source ${BASH_HELPERS}/msg_format.sh

# Strings to replace before building site "orignal1:::new1" "original2:::new2"
declare -a stringsToReplace=("original1:::new1" "original2:::new2")

for string in "${stringsToReplace[@]}"; do

jorgerance

0 ✓ steve@hal9000 ~ $ figlist | \
	awk '/fonts/ {f=1;next} /control/ {f=0} f {print}' |\
    while read font; do\
    	printf "\n\n\n>>> Font: $font\n\n"
        echo 'Hamburgefonstiv' | \
        figlet -w 150 -f $font
	done

jorgerance

// Puppeteer
const puppeteer = require('puppeteer');
// PostgreSQL
const pg = require('pg');
// Login + PostgreSQL credentials
const CREDS = require('./creds');

// Base URL
const URL = 'https://<WOOCOMMERCE_FQDN>'
const PRODUCT = '<PRODUCT_URL_PATH>'

jorgerance

#!/bin/bash

# Fail on error
set -e

source "$1"

cd "$(dirname "$0")"

if [ $# -ne 1 ]; then

jorgerance

def plot_piechart(data, column_numbers, column_index):
    """
    Plots a preformated pie chart
        - data: dataframe
        - column_values: column name for quantitative values
        - column_index: column name for qualitative values
    """

    ''' colormaps:  https://matplotlib.org/examples/color/colormaps_reference.html
                    https://matplotlib.org/tutorials/colors/colormaps.html#kovesi-colormaps'''

jorgerance

def group_small_values(data, idx, column, percentage):
    """ 
    Groups small dataframe values into a sigle group
        - data = source dataframe
        - idx = column with qualitative values
        - column = column to evaluate
        - percentage = group values which value > sum(column)
    """
    total_column = data[column].sum()
    other_percentage = ((float(total_column) / float(100) * float(percentage)))

jorgerance

def imports_version():
    """
    Print imported modules and its version
    Source: https://stackoverflow.com/a/50396275
    """

    import sys
    for module in sys.modules:
        try:
            print(module,sys.modules[module].__version__)