A very basic regex-based Markdown parser. Supports the
following elements (and can be extended via Slimdown::add_rule()
):
- Headers
- Links
- Bold
- Emphasis
- Deletions
import http from 'k6/http'; | |
import { sleep, check } from 'k6'; | |
function hitAPIWithRate(config) { | |
const { | |
baseUrl, | |
endpoint, | |
method, // Only support GET and POST for now... | |
data, | |
requestsPerHour, |
package subscriptions | |
import ( | |
"strings" | |
"time" | |
"bitbucket.org/uiza-team/uiza-billing-api-server/internal/contracts" | |
"bitbucket.org/uiza-team/uiza-billing-api-server/internal/dispatcher" | |
"bitbucket.org/uiza-team/uiza-billing-api-server/internal/dispatcher/events" | |
stripedtos "bitbucket.org/uiza-team/uiza-billing-api-server/internal/dtos/payment/stripe" |
<?php | |
namespace Framgia\Viblo\Components\Ml; | |
use Framgia\Viblo\Exceptions\TokenException; | |
use GuzzleHttp\Exception\RequestException; | |
use Illuminate\Contracts\Cache\Repository as Cache; | |
use Illuminate\Contracts\Config\Repository as Config; | |
use Illuminate\Contracts\Encryption\Encrypter; | |
use Illuminate\Support\Facades\Log; |
import numpy as np | |
import tensorflow as tf | |
from datetime import datetime | |
from functools import partial | |
from tensorflow.examples.tutorials.mnist import input_data | |
n_inputs = 784 | |
n_hidden1 = 300 | |
n_hidden2 = 100 | |
n_outputs = 10 |
import tensorflow as tf | |
from tensorflow.examples.tutorials.mnist import input_data | |
n_inputs = 784 | |
n_hidden1 = 300 | |
n_hidden2 = 50 | |
n_hidden3 = 50 | |
n_hidden4 = 50 | |
n_hidden5 = 50 | |
n_outputs = 10 |
<!DOCTYPE HTML><html><head><title>Viblo Machine Learning API documentation</title><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta http-equiv="Content-Type" content="text/html; charset=utf-8"><meta name="generator" content="https://github.com/raml2html/raml2html 6.4.1"><link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/9.3.0/styles/default.min.css"><script type="text/javascript" src="https://code.jquery.com/jquery-1.11.0.min.js"></script><script type="text/javascript" src="https://netdna.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script><script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/9.3.0/highlight.min.js"></script><script type="text/javascript"> | |
$(document).ready(function() { | |
$('.page-header pre code, .top-resource-description pre code, .modal-body pre code').each(function(i, block) { | |
hljs.high |
from __future__ import absolute_import, division, print_function, \ | |
unicode_literals | |
import os | |
import math | |
import pprint | |
import datetime | |
import numpy as np | |
from timeit import default_timer | |
from collections import defaultdict |
import Vue from 'vue' | |
import _assign from 'lodash/assign' | |
import _isEqual from 'lodash/isEqual' | |
const videojs = window.videojs = require('video.js') | |
const defaults = { | |
poster: '', | |
fluid: true, | |
sources: [], | |
muted: false, |
[ | |
// Remove HTML tags | |
'/<(.*?)>/' => "$1", | |
// Remove setext-style headers | |
'/^[=\-]{2,}\s*$/m' => '', | |
// Remove footnotes? | |
'/\[\^.+?\](\: .*?$)?/m' => '', | |
'/\s{0,2}\[.*?\]: .*?$/' => '', | |
// Remove images | |
// '/!\[([^\[]+)\]\(([^\)]+)\)/' => '$1', |