denji

Moved to git repository: https://github.com/denji/golang-tls

Generate private key (.key)

# Key considerations for algorithm "RSA" ≥ 2048-bit
openssl genrsa -out server.key 2048

# Key considerations for algorithm "ECDSA" ≥ secp384r1
# List ECDSA the supported curves (openssl ecparam -list_curves)

almost

#import "MyCustomView.h"

@implementation MyCustomView
{
    UIColor *squareColor;
}

- (void)setIsRed:(BOOL)isRed
{
    squareColor= (isRed)  ? [UIColor redColor] : [UIColor greenColor];

moshest

P2P Projects List

This Gist MOVED to a public repository: P2P Index

https://github.com/moshest/p2p-index

renehamburger

'use strict';

/**
 * Javascript version of https://gist.github.com/jbroadway/2836900
 *
 * Slimdown - A very basic regex-based Markdown parser. Supports the
 * following elements (and can be extended via Slimdown::add_rule()):
 *
 * - Headers
 * - Links

gaearon

function mapValues(obj, fn) {
  return Object.keys(obj).reduce((result, key) => {
    result[key] = fn(obj[key], key);
    return result;
  }, {});
}

function pick(obj, fn) {
  return Object.keys(obj).reduce((result, key) => {
    if (fn(obj[key])) {

reggi

Search for functions via expected imput / output

I have a programming need. I need a function that most-likley exists already. Someone has made it and it's probably public. If it doesn't exist theres probably some combination of functions out there that exist that can make it happen.

Here's a string input and output.

'focus together' > 'focus_together'
'focusTogether' > 'focus_together'
'focus Together' > 'focus_together'

josefrichter

/**
 * Sample React Native App
 * https://github.com/facebook/react-native
 */
'use strict';

const React = require('react-native');
const FBSDKCore = require('react-native-fbsdkcore');
const FBSDKLogin = require('react-native-fbsdklogin');

spalladino

# Backup
docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql

# Restore
cat backup.sql | docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE

dannguyen

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

HarryGoodwin

import UIKit
import PlaygroundSupport

struct StringConstants {
    static let bullet1 = "This is a small string."
    static let bullet2 = "This is more of medium string with a few more words etc."
    static let bullet3 = "Well this is certainly a longer string, with many more words than either of the previuos two strings."
}

typealias ParagraphData = (bullet: String, paragraph: String)