tenkabuto

#!/bin/bash
ls GOPR*.JPG -1tr > files.txt
mencoder -nosound -ovc lavc -lavcopts vcodec=mpeg4 -o output.avi -mf type=jpeg:fps=10 mf://@files.txt
ffmpeg -i output.avi -y -s hd720 -qscale 0 output-final.mp4
rm files.txt

tenkabuto

I'm starting a new issue (branching off #167) to track the decisions of this month's meeting and what needs to be done (video recording / raw meeting notes). If we agree this is a good model, we can then have one such issue for each monthly meeting. Or perhaps a wiki page would work better so we can all edit in the same place.

Here are the main topics and decisions, mostly actionable items (unchecked items have open questions to resolve or actions to take):

• Complete domain transfer (was already in progress at the time of the meeting, so nothing needed to be done, just wait for the transfer to conclude)
• Create canonical list of all OCI “holdings” and who handles what:
  • Question: Where will we put it? On a wiki on this repo? In the README.md?
  • Question: Is the following list complete? If not, what's missing?
• [Website](http://www.open

tenkabuto

• Objetivo: Aprender sobre la cultura de donde vives, México

1. De manera genera, ¿cómo diría que es el clima en su país?

2. ¿Cree usted que el clima ha influido en cómo las personas de su país se acercan a ciertas cosas y valoran ciertas cosas?

3. Si la cultura valora el consumo de verduras o carne? ¿Existe una cultura de vegetarianismo?

4. ¿Hay alimentos en particular que su cultura valora? (Estoy adivinando maíz)

tenkabuto

SELECT subquery2.club"clubId", C.clubname"clubName", subquery2.count"relevanceScore"
FROM
    (
        -- [x] For each club: get all keywords for club
        SELECT K.club, count(subquery1.id)"count"--, Z.keyword -- not needed in GROUP BY
        --SELECT count(subquery1.id), K.club --aggregate, for GROUP BY
        FROM
            (
                -- this retrieves the keywords from club to subquery1.id in parent query
                SELECT K.id

tenkabuto

# Read in CSV file that's formatted as a Crosstab (empty top left cell, top row contains column names and first column contains row names)
# `header = T` pulls column names from first row
# `row.names = 1` pulls row names from first column, so starts from 1, not 0
b2009 <- read.csv("20092009 Beer - CrossTab.csv", header = T, row.names = 1)

table <- as.table(as.matrix(b2009))
test <- data.frame(table)

# Add names to Columns, starting from leftmost column
colnames(test) <- c("Beer","Judge","Rating")

tenkabuto

• M
• F
• Day
• Nite
• Commute/dorm
• Hrs on campus/wk
• Self-pay/others pay
• Race
• Age
• Class

tenkabuto

/*
	Redirect away from the checkout page if you don't have a required level.
*/
function my_template_redirect_upgrade()
{
	global $pmpro_pages, $pmpro_level;
	
	if(empty($pmpro_pages))
		return;
		

tenkabuto

/*
  Only let level 1 members sign up if they use a discount code.
  Place this code in your active theme's functions.php or a custom plugin.
*/
function my_pmpro_registration_checks_require_code_to_register($pmpro_continue_registration)
{
  //only bother if things are okay so far
	if(!$pmpro_continue_registration)
		return $pmpro_continue_registration;

tenkabuto

#!/usr/bin/env python
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.firefox.firefox_profile import FirefoxProfile
from time import sleep
from sys import argv
find_likes = lambda browser: browser.find_elements_by_css_selector('.post_control.like.liked')
def find_next_page(browser):
    try:

tenkabuto