jovimon

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

# Python script to update CDMon dynamic DNS
# 
# @author = @jovimon
# @version = 0.1.20200930
# 
# Prerequisites: sudo pip install requests / sudo apt install python-requests
# 

kariae

variables:
    REGISTRY_URL: registry.lekode.com:5000
    IMAGE_NAME: app
    BUILD_CODE_IMAGE: $REGISTRY_URL/$IMAGE_NAME:$CI_COMMIT_REF_NAME
    LATEST_CODE_IMAGE: $REGISTRY_URL/$IMAGE_NAME:latest

stages:
  - test
  - install
  - build

camilleoudot

/* converts Bencoded data on stdin to JSON on stdout */

#include <stdio.h>
#include <ctype.h>
#include <stdlib.h>

int pos = 0;
int c;
char stack[1024], *sp = stack;

shark0der

#!/bin/bash

# Install dependencies
# older ubuntus
#apt-get install build-essential libsqlite3-dev ruby1.9.1-dev
# xenial
apt install build-essential libsqlite3-dev ruby-dev

# Install the gem
gem install mailcatcher --no-ri --no-rdoc

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

joyrexus

Sans jQuery

Events

// jQuery
$(document).ready(function() {
  // code
})

raphaelstolt

#!/usr/bin/php
<?php
printf("%sGit pre-commit hook %1\$s", PHP_EOL);
$projectName = basename(getcwd());
exec('phpunit --configuration phpunit.xml', $output, $returnCode); // Assuming cwd here
if ($returnCode !== 0) {
    $minimalTestSummary = array_pop($output);
    printf("Test suite for %s failed: ", $projectName);
    printf("( %s ) %s%2\$s", $minimalTestSummary, PHP_EOL);
    return false; // exit(1);