vladinator1000

Hi, I'm trying to generate "Hello world!", but my results stop improving strings reach roughly about 70% similarity. Here's what I've done:

    from difflib import SequenceMatcher
    from numpy import std
    from random import randint
    import random
    from pprint import pprint
    
    GENES = " abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!."
    TARGET = "Hello World!"

vladinator1000

from difflib import SequenceMatcher
from jellyfish import levenshtein_distance, jaro_distance, damerau_levenshtein_distance
from numpy import std, clip
from random import randint
import random
from pprint import pprint

GENES = " abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!."
TARGET = "Hello World!"

vladinator1000

import os
from glob import glob
from os import rename, listdir

# Makes a .csv file with a row of file names per subdirectory
# Appends "directoryName_" to each file

# Get the script directory path
path = os.path.dirname(os.path.realpath(__file__))
folderName = os.path.basename(path)

vladinator1000

server {                                                                           
        listen 80;                                                                 
        listen [::]:80 yupty.vladyv.me ipv6only=on;                                
        return 301 https://yupty.vladyv.me$request_uri;                            
}                                                                                  
                                                                                   
server {                                                                           
        # Enable HTTP/2                                                            
        listen 443 ssl http2;                                                      
        listen [::]:443 ssl http2;                                                 

vladinator1000

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>ACPI</key>
	<dict>
		<key>DSDT</key>
		<dict>
			<key>Debug</key>
			<false/>

vladinator1000

using UnityEngine;
using System.Collections;


public class rayCast : MonoBehaviour {
	public GameObject hoveredObject;
	public float selectRange = 50f;
	public float hitForce = 100f;
	public Camera fpCamera;
	public Material hoveredMaterial;

vladinator1000

// See it in action: http://i.imgur.com/AvhOdss.gifv
// Inspired by https://schier.co/blog/2014/12/08/wait-for-user-to-stop-typing-using-javascript.html
import React from 'react';

export default class WaitUntilInputStopsThenDoSomething extends React.Component {
	constructor(props) {
		super(props);
		this.doSomething = this.doSomething.bind(this);
	}

vladinator1000

using UnityEngine;
using System.Collections;
using System.Collections.Generic;

public class Inventory : MonoBehaviour {
    InventoryDatabase database;

    GameObject inventoryPanel;
    public GameObject inventoryItem;

vladinator1000

# Onsets look like this (the red parts in the photo): http://i.stack.imgur.com/vYa0v.jpg
import sys

from essentia import Pool, array
from essentia.standard import *


# In this example we are going to look at how to perform some onset detection
# and mark them on the audio using the AudioOnsetsMarker algorithm.
#

vladinator1000

def doesStringContainLetter(letter, string):
	for char in string:
		if letter in char:
			print letter
			return letter
		else:
			print "Didn't find the letter you're looking for"