marcj

import * as Dockerode from "dockerode";
import * as stream from "stream";
import {ContainerCreateOptions, HostConfig} from "dockerode";

export async function dockerRunWithStdIn(
    docker: Dockerode,
    stdin: NodeJS.ReadableStream | Buffer,
    options: {name: string} & ContainerCreateOptions
): Promise<Buffer> {
    return await new Promise<Buffer>(async (resolve, reject) => {

marcj

```
screen ~/Library/Containers/com.docker.docker/Data/vms/0/tty
```

marcj

sudo mount -uw /

rm -rf /System/Library/Extensions/AMDRadeon*
rm -rf /System/Library/Extensions/GeForce*
rm -rf /System/Library/Desktop\ Pictures/*
find /System/Library/Templates/Data/System/Library/Speech -name PCMWave -exec rm -rf {} \;

rm -rf /System/Library/Screen\ Savers/*.saver
rm -rf /private/var/db/dyld

marcj

//this is more or less pseudocode, not tested, just to demonstrate how it could look like conceptually.

import {AppServerModule} from './src/main.server';
import {ngExpressEngine} from '@nguniversal/express-engine';
const puppeteer = require('puppeteer');
const {join} = require('path');
const {readFileSync} = require('fs');

async function main() {
    const renderer = ngExpressEngine({

marcj

#!/usr/bin/env ts-node-script
import 'reflect-metadata';
import { Application, KernelModule } from '@deepkit/framework';
import { http } from '@deepkit/http';
import { entity, t } from '@deepkit/type';
import { Database } from '@deepkit/orm';
import { SQLiteDatabaseAdapter } from '@deepkit/sqlite';

@entity.name('user')
class User {

marcj

#!/usr/bin/env ts-node-script
import 'reflect-metadata';
import { Application } from '@deepkit/framework';
import { http } from '@deepkit/http';
import { ClassSchema, entity, getClassSchema, t } from '@deepkit/type';
import { Database } from '@deepkit/orm';
import { MongoDatabaseAdapter } from '@deepkit/mongo';
import { ClassType, getObjectKeysSize } from '@deepkit/core';
import { AppModule } from '@deepkit/app';

marcj

#!/usr/bin/env ts-node-script
import 'reflect-metadata';
import { Application, onServerMainBootstrap } from '@deepkit/framework';
import { injectable, InjectorContext } from '@deepkit/injector';
import { t } from '@deepkit/type';
import { AppModule, AppModuleConfig } from '@deepkit/app';
import { ClassType } from '@deepkit/core';
import { eventDispatcher } from '@deepkit/event';

type Options = { exchange: string, routingKey: string, queue: string };

marcj

enum OP {
    string = 0,
    number = 1,
    boolean = 2,
    object = 3,
    function = 4,
    array = 5,
    date = 6,
    class = 7,
    interface = 8,

marcj

import { BenchSuite } from '../bench';

const memoize = require('memoizee');


function memoizeWithJIT(fn: Function, options: { stackSize: number } = { stackSize: 10 }): Function {
    const stacks: string[] = [];
    const variables: string[] = [];
    const argNames: string[] = [];
    for (let a = 0; a < fn.length; a++) {

marcj

type Command =
    'foo0'
    | 'foo1'
    | 'foo2'
    | 'foo3'
    | 'foo4'
    | 'foo5'
    | 'foo6'
    | 'foo7'
    | 'foo8'