heiner

BRIGHT = 8


def color(s, fg, bg):
    return "\033[%d;3%d;4%dm%s\033[0m" % (
        bool(fg & BRIGHT),
        fg & ~BRIGHT,
        bg & ~BRIGHT,
        s,
    )

heiner

#
# pytest -svx welford_test.py
#
"""
Cf. Sutton-Barto
  http://www.incompleteideas.net/book/first/ebook/node19.html
and
  https://math.stackexchange.com/a/103025/5051
as well as
  https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Parallel_algorithm

juniorprincewang

// Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
//
// This work is made available under the Nvidia Source Code License-NC.
// To view a copy of this license, visit
// https://nvlabs.github.io/stylegan2/license.html
// From https://github.com/NVlabs/stylegan2/blob/master/test_nvcc.cu

#include <cstdio>

void checkCudaError(cudaError_t err)

apsun

100% free. Runs completely locally on your machine. Bypasses the 3200 tweet limit. May require some eye bleach for the script. Here's how to use it:

1. Go to settings -> account -> your Twitter data and request a download. This may take a few hours. You'll get an email with a link to download a zip file. Extract the zip file and navigate to the data directory.

2. Go to Twitter in a web browser and find any Tweet you want to delete. We're going to use it to extract your authentication credentials for the next step. Open developer tools, delete the tweet, and find the request

tscmoo

#include <cstdio>
#include <random>

#include "openbw/bwgame.h"
#include "openbw/actions.h"

int main() {

	std::mt19937 rng(std::random_device{}());

timothymugayi

import time

from random import randrange
from multiprocessing.pool import ThreadPool

from tqdm import tqdm


def func_call(position, total):
    text = 'progressbar #{position}'.format(position=position)

BoQsc

Type this into Github Gist Search (https://gist.github.com/)

user:BoQsc  your search query

mohanpedala

Table of Contents

• set -e, -u, -x, -o pipefail
• set -e
• set -x
• set -u
• set -o pipefail
• Setting IFS
• Original Reference

set -e, -u, -x, -o pipefail

negrinho

Latency Comparison Numbers Simplified (~2012)
----------------------------------   log2 log10
L1 cache reference                     0    0    ~ 1 ns
Branch mispredict                      3    1
L2 cache reference                     4    1
Mutex lock/unlock                      6    2
Main memory reference                  8    2
Compress 1K bytes with Zippy          13    4
Send 1K bytes over 1 Gbps network     14    4
Read 4K randomly from SSD*            18    5

batzner

import sys, getopt

import tensorflow as tf

usage_str = 'python tensorflow_rename_variables.py --checkpoint_dir=path/to/dir/ ' \
            '--replace_from=substr --replace_to=substr --add_prefix=abc --dry_run'


def rename(checkpoint_dir, replace_from, replace_to, add_prefix, dry_run):
    checkpoint = tf.train.get_checkpoint_state(checkpoint_dir)