nottombrown

extension Optional {
    func try<U>(f: (T) -> U) -> Optional<U> {
        if let unwrapped = self {
            return f(unwrapped)
        } else {
            return nil
        }
    }
}

nottombrown

#!/bin/sh

# Some things taken from here
# https://github.com/mathiasbynens/dotfiles/blob/master/.osx

# Set the colours you can use
black='\033[0;30m'
white='\033[0;37m'
red='\033[0;31m'
green='\033[0;32m'

nottombrown

for family in UIFont.familyNames(){
    println(family)
    for fontName in UIFont.fontNamesForFamilyName("\(family)") {
        println("    \(fontName)")
    }
}

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-----BEGIN PGP PUBLIC KEY BLOCK-----
Version: Mailvelope v0.13.1
Comment: Tom Brown's public key - https://www.mailvelope.com

xsFNBFWwA9UBEACsVDSAwJ3xBxRwLGn7FE1ABen2+74OSz6+aqjLVvoBoTxw
L5DBnirOoWiOr/RSoRGUQfw80mfZpXdOWeUfh6i3h6G6pRcXa5USXD3pQmOM
K5K6KJGG2d6CjIlKczDQVrvx6AVtzlF+ezNffWciFWWDDWClguwntVxMehhG
0vSyllzYQcEOkgCx/Cz1ptqQFgzyJI0eInIRJg+912oXsxzDAy5qzht1JVge
J5aeGxr2R8BJiaTMVlCqaMcfJnzzGRuefBhruQGYLdxyUJd6fRjiZUTjZ9UM
k77m9Ezsao/sZQJgpuuf1DZTlHoE72bEi8Xt1JQdUz8fGPTIO39M5kNXW54o

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# A "put it in a dictionary" Q-learning agent

import gym
import numpy as np

env = gym.make('FrozenLake-v0')
env.monitor.start('recordings', force=True)

# Initialize Q matrix to zeros
Q = np.zeros((env.observation_space.n, env.action_space.n))

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ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEA0VouipRoYqWdJlTyKRhfGZ/Dyz2f2lRDdXElkBklUdN6TbJzaGkaUoDtOw5gq1X2pb15egvE5qEdtZqoPVUA1cyo9XlF8dK1LMR+wj7HNst3ynAZN98vIoiYwzIXKaECe5lBQ2e8+t3yA/WVn731wvvR+DHsG7DFGugND4HOLDfpfY+8AW0Thc0mROUDV0yhjuF6NWPqxuxgzExKD+huc8cJqVPzv9xiLQ1KdTms25739rhn28zhPLpyupUVbz1XB+SXOJFEFLdQzKszAeoaLFsZuZ+7yAAUUDJabVTQ/YtUxqGq5H8QTE7Jk6Zpz+QJM/yZ4o8UQ82XpXO9Ae/ctw== [email protected]

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Keybase proof

I hereby claim:

• I am nottombrown on github.
• I am nottombrown (https://keybase.io/nottombrown) on keybase.
• I have a public key ASDVHNVLxMWL4cN7DHIkg-aKMwpJb4qAZ-y0Yo-mM8qyXgo

To claim this, I am signing this object:

nottombrown

# Based on https://github.com/tensorflow/tensorflow/issues/2652#issue-158487397
import tensorflow as tf
tf.reset_default_graph()

def run(on_gpu):
    tf.reset_default_graph()
    tf.set_random_seed(42) # Try to set up determinism
    with tf.device('/gpu:0' if on_gpu else '/cpu:0'):
        a = tf.random_normal([16, 16])
        b = tf.get_variable('b', shape = [], initializer = tf.constant_initializer(value = 0.0))

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#!/bin/sh
# ----------------------------------------------------------------------
#    Copyright (C) 2005-2011 Karl J. Runge <[email protected]> 
#    All rights reserved.
# 
# This file is part of Xdummy.
# 
# Xdummy is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or (at

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{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',