ggarcia24

//The global script scope
def ctx = context(scope: scriptScope())

//What things can be on the script scope
contributor(ctx) {
    method(name: 'pipeline', type: 'Object', params: [body: Closure])
    property(name: 'params', type: 'org.jenkinsci.plugins.workflow.cps.ParamsVariable')
    property(name: 'env', type: 'org.jenkinsci.plugins.workflow.cps.EnvActionImpl.Binder')
    property(name: 'currentBuild', type: 'org.jenkinsci.plugins.workflow.cps.RunWrapperBinder')
    property(name: 'scm', type: 'org.jenkinsci.plugins.workflow.multibranch.SCMVar')

KarlAmort

Tensorflow

System information

• OS - Sierra 10.12
• Tensorflow - 1.7.0
• Xcode command line tools - 8.2 (Download from here: Xcode - Support - Apple Developer & Switch to different clang version: sudo xcode-select --switch/Library/Developer/CommandLineTools & check version: clang -v)
• Cmake - 3.11
• Bazel - 0.11.1

ageis

YubiKey 4 series GPG and SSH setup guide

Written for fairly adept technical users, preferably of Debian GNU/Linux, not for absolute beginners.

You'll probably be working with a single smartcard, so you'll want only one primary key (1. Sign & Certify) and two associated subkeys (2. Encrypt, 3. Authenticate). I've published a Bash function which automates this slightly special key generation process.

venik

#!/usr/bin/env bash

# Author: Sasha Nikiforov

# source of inspiration
# https://stackoverflow.com/questions/41293077/how-to-compile-tensorflow-with-sse4-2-and-avx-instructions

# Detect platform
if [ "$(uname)" == "Darwin" ]; then
	# MacOS

veuncent

AWS Glacier: Delete vault

Follow these steps to remove all archives from an AWS vault. After this is finished, you will be able to delete the vault itself through the browser console.

Step 1 / Retrieve inventory

This will create a job that collects required information about the vault.

$ aws glacier initiate-job --job-parameters '{"Type": "inventory-retrieval"}' --account-id YOUR_ACCOUNT_ID --region YOUR_REGION --vault-name YOUR_VAULT_NAME 

ageitgey

Build tensorflow on OSX with NVIDIA CUDA support (GPU acceleration)

These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.

Requirements

OS X 10.10 (Yosemite) or newer

jberkus

WITH table_scans as (
    SELECT relid,
        tables.idx_scan + tables.seq_scan as all_scans,
        ( tables.n_tup_ins + tables.n_tup_upd + tables.n_tup_del ) as writes,
                pg_relation_size(relid) as table_size
        FROM pg_stat_user_tables as tables
),
all_writes as (
    SELECT sum(writes) as total_writes
    FROM table_scans

rgreenjr

-- 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%' 

nicerobot

#!/bin/sh
policy=${HOME}/.jstatd.all.policy
[ -r ${policy} ] || cat >${policy} <<'POLICY'
grant codebase "file:${java.home}/../lib/tools.jar" {
  permission java.security.AllPermission;
};
POLICY

jstatd -J-Djava.security.policy=${policy} &