mzaks

// Based on http://www.gamasutra.com/blogs/ChrisSimpson/20140717/221339/Behavior_trees_for_AI_How_they_work.php

public enum NodeStatus 
{
    Success, Failure, Running
}

public interface IBehaviorNode
{
    NodeStatus Execute(Entity entity); 

steipete

# The trick is to link the DeviceSupport folder from the beta to the stable version.
# sudo needed if you run the Mac App Store version. Always download the dmg instead... you'll thank me later :)

# Support iOS 15 devices (Xcode 13.0) with Xcode 12.5:
sudo ln -s /Applications/Xcode-beta.app/Contents/Developer/Platforms/iPhoneOS.platform/DeviceSupport/15.0 /Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/DeviceSupport

# Then restart Xcode and reconnect your devices. You will need to do that for every beta of future iOS versions

# (A similar approach works for older versions too, just change the version number after DeviceSupport)

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

Democide

// LoadingScreenManager
// --------------------------------
// built by Martin Nerurkar (http://www.martin.nerurkar.de)
// for Nowhere Prophet (http://www.noprophet.com)
//
// Licensed under GNU General Public License v3.0
// http://www.gnu.org/licenses/gpl-3.0.txt

using UnityEngine;
using UnityEngine.UI;

bhaettasch

from gensim.models import Word2Vec

# Load pretrained model (since intermediate data is not included, the model cannot be refined with additional data)
model = Word2Vec.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True, norm_only=True)

dog = model['dog']
print(dog.shape)
print(dog[:10])

# Deal with an out of dictionary word: Михаил (Michail)

JohnCoates

// Adapted from Stack Overflow answer by David Crow http://stackoverflow.com/a/43235
// Question: Algorithm to randomly generate an aesthetically-pleasing color palette by Brian Gianforcaro
// Method randomly generates a pastel color, and optionally mixes it with another color
func generateRandomPastelColor(withMixedColor mixColor: UIColor?) -> UIColor {
	// Randomly generate number in closure
	let randomColorGenerator = { ()-> CGFloat in
		CGFloat(arc4random() % 256 ) / 256
	}
		
	var red: CGFloat = randomColorGenerator()

JohnTroony

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This script will delete all of the tweets in the specified account.
You may need to hit the "more" button on the bottom of your twitter profile
page every now and then as the script runs, this is due to a bug in twitter.

You will need to get a consumer key and consumer secret token to use this
script, you can do so by registering a twitter application at https://dev.twitter.com/apps

kellyegan

//
//  ViewController.swift
//  SendEmailWithAttachment
//
//  Created by Kelly Egan on 3/17/15.
//  Copyright (c) 2015 Kelly Egan. All rights reserved.
//

import UIKit
import MessageUI

tristanwietsma

package main

import (
        "flag"
        "fmt"
        "image"
        _ "image/gif"
        _ "image/jpeg"
        _ "image/png"
        "log"

kelvinn

# post_loc.txt contains the json you want to post
# -p means to POST it
# -H adds an Auth header (could be Basic or Token)
# -T sets the Content-Type
# -c is concurrent clients
# -n is the number of requests to run in the test

ab -p post_loc.txt -T application/json -H 'Authorization: Token abcd1234' -c 10 -n 2000 http://example.com/api/v1/locations/