nijotz

[alias]
    st  = status -sb
    me  = log --author=Nick
    lg  = log --pretty=format:'%C(yellow)%h%Creset -%C(yellow)%d%Creset %s %Cgreen(%cr) %C(cyan)<%an>%Creset' --abbrev-commit --date=relative --graph
    lgd = log --pretty=format:'%C(yellow)%h%C(reset) - %C(green)%cd %C(reset)%s %C(cyan)<%an>%C(yellow)%d%C(reset)' --abbrev-commit --graph --date=format:'%Y-%m-%d %a %H:%M'
    aliases = !git config --get-regexp 'alias.*' | colrm 1 6 | sed 's/[ ]/ = /' | sort

nijotz

while read FILE LINE COL; do git blame -L $LINE,$LINE $FILE | sed -re 's/.*\(([^0-9]*) [0-9].*/\1/'; done < <(npx tsc --noEmit | grep -Po '[^: ]+\([0-9]+,[0-9]+\)' | sed -re 's/\(([0-9]+),([0-9]+)\)/ \1 \2/g') | sort | uniq -c | sort -nr

nijotz

// cleaner output, but same results without
const Promise = require('bluebird');

// What is the best way to run async functions
//   * in parallel
//   * fail fast
//   * not have unhandled promises
//   * single failure path (try/catch)
// ?

nijotz

function sleepReject(time, msg) {
  return new Promise((resolve, reject) => {
    setTimeout(() => reject(msg || 'reject'), time);
  });
}

async function test() {
  try {
    let valuePromises1 = [1000, 2000, 3000].map(x => sleepReject(x));
    let valuePromises2 = [4000, 5000].map(x => sleepReject(x));

nijotz

function sleepReject(time, msg) {
  return new Promise((resolve, reject) => {
    setTimeout(() => reject(msg || 'reject'), time);
  });
}

async function test() {
  try {
    let valuePromises1 = [1000, 2000, 3000].map(x => sleepReject(x));

nijotz

async function test() {
  var p1 = new Promise((resolve, reject) => {
    setTimeout(() => reject('one'), 1000);
  });
  var p2 = new Promise((resolve, reject) => {
    setTimeout(() => reject('two'), 2000);
  });
  var p3 = new Promise((resolve, reject) => {
    setTimeout(() => reject('three'), 3000);
  });

nijotz

#include "FastLED.h"

// DiscoStrobe
// *Flashing* rainbow lights that zoom back and forth to a beat.
// See your doctor before using this code if you have certain neurological conditions.
//
// Mark Kriegsman, July 2015


#if FASTLED_VERSION < 3001000

nijotz

[4800x0C:07:19nick@nijotz~/.weechat/logs]$ grep -B1 LOLBOW irc.freenode.#infoforcefeed.weechatlog | grep -Ev '(LOLBOW|--)' | awk '{print $3}' | sort | uniq -c | sort -nr
     24 cblgh
     17 nijotz
     17 jnerula
     14 Pilate
     12 trinque
     11 vhost-
     11 uptime
     11 ben_vulpes
      9 lykkin

nijotz

import tensorflow as tf

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

def weight_variable(shape):
  initial = tf.truncated_normal(shape, stddev=0.1)
  return tf.Variable(initial)

def bias_variable(shape):

nijotz

import tensorflow as tf

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

# 784 pixels (28 x 28 pixel images), 10 possibile outputs
x = tf.placeholder(tf.float32, [None, 784]) # placeholder
W = tf.Variable(tf.zeros([784, 10])) # weights
b = tf.Variable(tf.zeros([10])) # biases