winglian

import time
from contextlib import suppress

import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cuda as cuda
from torch.utils.data import DataLoader, IterableDataset

winglian

'use strict'

// ideal for use with AWS Lambda and native Node.js modules

// requires Docker: https://docs.docker.com/engine/installation/

/*
Usage:
  node docker-npm.js install
  node docker-npm.js rebuild

winglian

'use strict';
/* eslint-disable consistent-this */

let applyMiddlewareHash = [];

/**
 * Composes single-argument functions from right to left. The rightmost
 * function can take multiple arguments as it provides the signature for
 * the resulting composite function.
 *

winglian

#!/usr/bin/env xcrun swift

/*
gen.swift is a direct port of cfdrake's helloevolve.py from Python 2.7 to Swift 3
-------------------- https://gist.github.com/cfdrake/973505 ---------------------

gen.swift implements a genetic algorithm that starts with a base
population of randomly generated strings, iterates over a certain number of
generations while implementing 'natural selection', and prints out the most fit
string.

winglian

rbenv global 2.2.2
sudo service elasticsearch stop
if ! [ -e .semaphore-cache/elasticsearch-2.2.1.deb ]; then (cd .semaphore-cache; curl -OL https://download.elasticsearch.org/elasticsearch/release/org/elasticsearch/distribution/deb/elasticsearch/2.2.1/elasticsearch-2.2.1.deb); fi
echo Y | sudo dpkg -i .semaphore-cache/elasticsearch-2.2.1.deb
sudo service elasticsearch start
sleep 5 && curl -XGET 'localhost:9200'