Purpzie

# https://github.com/dependabot/dependabot-core/issues/1736
name: Dependabot
on: pull_request_target
permissions: read-all
jobs:
  update-lockfile:
    runs-on: ubuntu-latest
    if: ${{ github.actor == 'dependabot[bot]' }}
    permissions:
      pull-requests: write

andreafalzetti

/**
 * Node.js Script to Download Lingoda Teaching Material
 */
const fs = require('fs');
const needle = require('needle');
const { promisify } = require('util');
const { stringify } = require('query-string');
const mkdir = require('mkdirp-promise');
const writeFileAsync = promisify(fs.writeFile);

Gems

#!/usr/bin/env bash

TMP_FILE=/tmp/docker-compose.$$.yaml

finish() {
  rm ${TMP_FILE} ${TMP_FILE}.tmp 2>/dev/null
}

trap finish EXIT

duarteguilherme

import requests
from bs4 import BeautifulSoup
import json
import sys

class Crawler:
    def __init__(self, uf):
        self.url = "http://www.cnj.jus.br/bnmp/rest/pesquisar"
        self.uf = uf
        input("teste uf: " + uf + " pode ir?")

sj26

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or distribute this software, either in source code form or as a compiled binary, for any purpose, commercial or non-commercial, and by any means.

In jurisdictions that recognize copyright laws, the author or authors of this software dedicate any and all copyright interest in the software to the public domain. We make this dedication for the benefit

rougeth

  _____/\\\______________________________________________________
   __/\\\\\\\\\\\____/\\\\\__/\\\\\____/\\\____/\\\__/\\\____/\\\_
    _\////\\\////___/\\\///\\\\\///\\\_\/\\\___\/\\\_\///\\\/\\\/__
     ____\/\\\______\/\\\_\//\\\__\/\\\_\/\\\___\/\\\___\///\\\/____
      ____\/\\\_/\\__\/\\\__\/\\\__\/\\\_\/\\\___\/\\\____/\\\/\\\___
       ____\//\\\\\___\/\\\__\/\\\__\/\\\_\//\\\\\\\\\___/\\\/\///\\\_
        _____\/////____\///___\///___\///___\/////////___\///____\///__

Mistobaan

These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

weavenet

#!/bin/bash

bucket=$1

set -e

echo "Removing all versions from $bucket"

versions=`aws s3api list-object-versions --bucket $bucket |jq '.Versions'`
markers=`aws s3api list-object-versions --bucket $bucket |jq '.DeleteMarkers'`

michaljemala

package main

import (
	"crypto/tls"
	"crypto/x509"
	"flag"
	"io/ioutil"
	"log"
	"net/http"
)