jhargis

document.addEventListener('DOMContentLoaded', function () {

    if(!window.hasOwnProperty('scan_data')) {
        window.scan_data = [];
        window.scan_prefix_target = null;
    }

    // keystroke speed < 80ms & min total length of 4 chars
    const scan_min_chars = 4, scan_keystroke_window_ms = 80;
    let _scan_timer = window.setTimeout(function() { window.scan_data = []; }, 0);

jhargis

from bottle import request, response, PluginError

class FlashMsgPlugin(object):
    """Usage:
    from bottle import Bottle
    from bottle_flash2 import FlashMsgPlugin
    
    app = Bottle()
    COOKIE_SECRET = 'your_secret_key'
    app.install(FlashPlugin(secret=COOKIE_SECRET))

jhargis

Install dep, and start tracker

sudo apt-get install bittornado ctorrent
bttrack --port 6969 --dfile ~/.bttrack/dstate --logfile ~/.bttrack/tracker.log --nat_check 0 --scrape_allowed full

Now, create a torrent file

ctorrent -t -u "YOUR_SERVER_IP:6969/announce" -s new_file_name.torrent file_or_folder_for_torrent

jhargis

#!/usr/bin/awk -f

# This program is a copy of guff, a plot device. https://github.com/silentbicycle/guff
# My copy here is written in awk instead of C, has no compelling benefit.
# Public domain. @thingskatedid

# Run as awk -v x=xyz ... or env variables for stuff?
# Assumptions: the data is evenly spaced along the x-axis

# TODO: moving average

jhargis

#!/usr/bin/env python
import os
import csv
import sys
import datetime
import string
import requests

# replace these:  API_KEY, CLIENTNAME1,  CLIENTNAME2 , CLIENT_ID1, CLIENT_ID2 , WORKSPACE_ID

jhargis

#! /usr/bin/env python3
'''pyCookieCheat.py
2015022 Now its own GitHub repo, and in PyPi. 
    - For most recent version: https://github.com/n8henrie/pycookiecheat
    - This gist unlikely to be maintained further for that reason.
20150221 v2.0.1: Now should find cookies for base domain and all subs.
20140518 v2.0: Now works with Chrome's new encrypted cookies.

See relevant post at http://n8h.me/HufI1w

jhargis

-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

jhargis

# -*- coding: utf-8 -*-

# http://docs.cherrypy.org/en/latest/advanced.html?highlight=jinja2#html-templating-support

import os.path
import cherrypy

class Root(object):
    @cherrypy.expose
    def index(self):

jhargis

Given a table bar that we need to compact while maximizing availability of the data in it and minimize load/IO during compaction.

First, if there are any tables with foriegn key columns referencing columns in bar those foreign keys need to be disabled, e.g:

ALTER TABLE foo DISABLE TRIGGER fkey_bar_id

Now we can work on compacting the data by copying it to a new table.

SQL to create a new, empty table and have the current table inherit from it:

jhargis

import uuid
import psycopg2
from psycopg2.extras import DictCursor

from django.conf import settings
from django.db import models
from django.contrib.auth.models import User


class classproperty(object):