StuartFarmer

pragma solidity ^0.4.11;

contract Faucet {
    
    address issuer;
    mapping (address => uint256) lastDraw;
    uint payout;
    uint period;
    
    function Faucet(uint _payout, uint _period) {

StuartFarmer

### Keybase proof

I hereby claim:

  * I am StuartFarmer on github.
  * I am stustu (https://keybase.io/stustu) on keybase.
  * I have a public key whose fingerprint is D1A9 4323 6469 DA27 A7C7  9266 DBB6 67B1 7E81 4CF8

To claim this, I am signing this object:

StuartFarmer

//+------------------------------------------------------------------+
//|                                  MA_In_Color_wAppliedPrice.mq4   |
//|                      Copyright © 2004, MetaQuotes Software Corp. |
//| Modified from LSMA_In_Color to use any MA by Robert Hill         |
//| Added use of Applied Price by Robert Hill                        |     
//+------------------------------------------------------------------+
#property  copyright "Copyright © 2006, FX Sniper and Robert Hill"
#property  link      "http://www.metaquotes.net/"

//---- indicator settings

StuartFarmer

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import csv
import talib

underlying_data = []

with open('./3m_data.csv') as f:
	reader = csv.reader(f)

StuartFarmer

import pickle
from music21 import *
from sklearn import preprocessing
import numpy as np

def encode_from_paths(paths):
    songbook = [path for path in paths]
    notes = []
    for song in songbook:
        song = converter.parse(song)

StuartFarmer

from music21 import *
import numpy as np
from sklearn import preprocessing

import pickle

from keras.layers import Input, Dense, LSTM, merge
from keras.models import Model, load_model
from keras.optimizers import SGD

StuartFarmer

import csv
import random

import numpy as np
import matplotlib.pyplot as plt

import math

import os
os.environ["THEANO_FLAGS"] = "mode=FAST_RUN,device=gpu,floatX=float32,allow_gc=False"

StuartFarmer

#--- parameters for the XOR-2 experiment ---#

# The `Types` section specifies which classes should be used for various
# tasks in the NEAT algorithm.  If you use a non-default class here, you
# must register it with your Config instance before loading the config file.
[Types]
stagnation_type      = DefaultStagnation
reproduction_type    = DefaultReproduction

[phenotype]

StuartFarmer

from __future__ import print_function

import gym
import numpy as np
import itertools
import os

from neat import nn, population, statistics

# another great example of how crazy effective NEAT can be even when it knows literally nothing about what's going on in the environment.

StuartFarmer

# I'll refactor this later, but it's almost midnight and I just wanted to demonstrate how sick NEAT is at solving problems without defining any direction for the algoritm
from __future__ import print_function

import gym
import numpy as np
import itertools
import os

from neat import nn, population, statistics