sheerun

/* @flow */

export class GraphQLSchema {
  getQueryType() {
    return "foobar";
  }
}

sheerun

version: '2'
services:
  web:
    image: node:4-slim
    volumes:
      - .:/app
    command: node /app/index.js
    ports:
      - "9500:9500"

sheerun

'use strict';

var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; };

Function.prototype.$asyncbind = function $asyncbind(self, catcher) {
  'use strict';

  if (!Function.prototype.$asyncbind) {
    Object.defineProperty(Function.prototype, '$asyncbind', {
      value: $asyncbind,

sheerun

{
  "api": {
    "id": "string",
    "name": "string",
    "sort_order": 0,
    "backend_protocol": "http",
    "frontend_host": "string",
    "backend_host": "string",
    "servers": [
      {

sheerun

#!/bin/bash

export NAME=ghost
export TARGET=root@1.2.3.4
export SERVICE=$(mktemp)

cat > $SERVICE <<EOF
[Unit]
Description=Ghost
After=docker.service

sheerun

#include <bits/stdc++.h>

using namespace std;

bool prime(long n) {
  if (n < 2) return false;

  for (long i = 2; i*i <= n; i++) {
    if (n % i == 0) return false;
  }

sheerun

#!/bin/sh
printf "Hello world"

sheerun

Error: NodeDef mentions attr 'dilations' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_FLOAT]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]>; NodeDef: import/module_apply_default/MobilenetV2/Conv/Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/gpu:0"](import/module_apply_default/MobilenetV2/input, import/module_apply_default/MobilenetV2/Conv/Conv2D/ReadVariableOp). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
	 [[Node: import/module_apply_default/MobilenetV2/Conv/Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/gpu:0"](import/m

sheerun

require 'open-uri'
require 'json'
require 'parallel'

packages = File.read('01.most-dependent-upon.md').scan(/\[([\w-]+)\]/m).to_a.map(&:first)

Parallel.each(packages) do |package|
  begin
    parsed = JSON.parse(open('https://registry.npmjs.org/' + package).read)
    url = URI.parse(parsed['repository']['url'])

sheerun

import tensorflow as tf
import requests
import responder
import os, tempfile

# download("http://gajamed.pl/uploads/2016/04/29.jpg")
# => "/tmp/foo.jpg"
def download(url):
    dest = os.path.join(tempfile.mkdtemp(), 'image.jpg')
    response = requests.get(url, allow_redirects=True)