apinstein

/***
* INSTRUCTIONS
* 1. Change the domain in the CONFIG below to your domain.
* 2. Logged in as a Google Workspace admin for the domain of interest, create a new Google Sheet in the Workspace.
* 3. In the sheet, select the menu Extentions > Apps Scripts
* 4. In the script editor, add a Service (with the + in "Services") and add the "AdminDirectory" API.
* 5. Copy/paste this code into the CODE section
* 6. Save & Run the code
* 7. The sheet should be updated with a full inventory of your domain's email address surface area!
*/

apinstein

{
    "launch": {
        "version": "0.2.0",
        "configurations": [
            {
                "type": "lldb",
                "request": "attach",
                "name": "Attach to running process",
                "pid": "${command:pickMyProcess}" // use ${command:pickProcess} to pick other users' processes
            },

apinstein

<?php declare(strict_types=1);

require __DIR__ . '/../src/bootstrap.php';
require_once __DIR__ . '/../src/Util/Swoole/Utils.php';

use Swoole\Coroutine;
use SneakyStu\Util\Swoole;

// TODO: will this help speed up concurrency servicing (via better scheduler?) not sure if it causes new userland concurrency coding issues
ini_set("swoole.enable_preemptive_scheduler", "1");

apinstein

const headerRowI = 1; // the row with the header cols
const UUID_COLUMN_NAME = 'UUID'
const LAST_UPDATED_COLUMN_NAME = 'LAST UPDATED'

// ENTRY POINTS
// SHEET HOOK ENTRY POINTS
function onEdit(e) {
  // Spreadsheet is the 'file', Sheet is the actual sheet, similar but incompatible APIs on different objects, quite the gotcha
  var sheet = e.source.getActiveSheet();

apinstein

# Markdown Quicklook plugin
port install qlmarkdown

# multiple clipboard
http://jumpcut.sourceforge.net

# don't go to sleep, sometimes
http://lightheadsw.com/caffeine/

apinstein

is_established_customerF <- function(customer_segment, credits_purchased) {
    print(typeof(customer_segment)) # prints only once?

    established_customer_threshold <- 100000000 # infinitely large
    customer_segment <- as.character(customer_segment)
    if (customer_segment == "multiple_photographer_company") {
        established_customer_threshold <- 3000
    } else if (customer_segment == "in_house_photography_department") {
        established_customer_threshold <- 1000
    } else if (customer_segment == "full_time_single_re_photographer") {

apinstein

## DEMO of appropriate way to bin variables with a factor
## this is particularly useful if one wants to bin things of asymmetric widths
## alternative would be non-linear axis

library(ggplot2)
library(grid)
library(gridExtra)
library(data.table)

r <- data.table(x = rgeom(1000, .01))

apinstein

DEV Open Owl Tour w/gist.github.com as referrer

DEV Open Crisp Tour w/gist.github.com as referrer

STAGING-02 Open Plumage Tour w/gist.github.com as referrer

apinstein

chdir /opt/www/domains/tourbuzz/current
screen -t db                0 rake db
screen -t code              1
chdir /opt/www/domains/tourbuzz/shared/log
screen -t log               2

apinstein

#!/bin/zsh

# configure curl output format
echo '%{url_effective},%{time_namelookup},%{time_connect},%{time_appconnect},%{time_pretransfer},%{time_redirect},%{time_starttransfer},%{time_total}' > curltime.format

# configure postgres
echo "create table wifi_data (ssid text,url_effective text,time_namelookup numeric(9,5),time_connect numeric(9,5),time_appconnect numeric(9,5),time_pretransfer numeric(9,5),time_redirect numeric(9,5),time_starttransfer numeric(9,5),time_total numeric(9,5));"
echo ""
echo "\\\\copy wifi_data from './wifi-data.csv'  DELIMITER ',' CSV HEADER"
echo "select ssid, count(*), avg(time_total), stddev(time_total), min(time_total), max(time_total) from wifi_data group by ssid having count(*) > 5;"