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1 (ns org.aurellem.worm-learn
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2 "General worm creation framework."
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3 {:author "Robert McIntyre"}
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4 (:use (cortex world util import body sense
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5 hearing touch vision proprioception movement))
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6 (:import (com.jme3.math ColorRGBA Vector3f))
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7 (:import java.io.File)
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8 (:import com.jme3.audio.AudioNode)
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9 (:import com.aurellem.capture.RatchetTimer)
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10 (:import (com.aurellem.capture Capture IsoTimer))
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11 (:import (com.jme3.math Vector3f ColorRGBA)))
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12
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13 (use 'clojure.pprint)
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14
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15 (dorun (cortex.import/mega-import-jme3))
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16 (rlm.rlm-commands/help)
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17
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18 (load-bullet)
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19
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20 (def hand "Models/test-creature/hand.blend")
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21
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22 (defn worm-model []
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23 (load-blender-model "Models/worm/worm.blend"))
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24
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25 (def output-base (File. "/home/r/proj/cortex/render/worm-learn/curl"))
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26
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27
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28 (defn motor-control-program
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29 "Create a function which will execute the motor script"
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30 [muscle-labels
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31 script]
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32 (let [current-frame (atom -1)
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33 keyed-script (group-by first script)
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34 current-forces (atom {}) ]
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35 (fn [effectors]
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36 (let [indexed-effectors (vec effectors)]
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37 (dorun
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38 (for [[_ part force] (keyed-script (swap! current-frame inc))]
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39 (swap! current-forces (fn [m] (assoc m part force)))))
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40 (doall (map (fn [effector power]
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41 (effector (int power)))
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42 effectors
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43 (map #(@current-forces % 0) muscle-labels)))))))
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44
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45 (defn worm-direct-control
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46 "Create keybindings and a muscle control program that will enable
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47 the user to control the worm via the keyboard."
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48 [muscle-labels activation-strength]
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49 (let [strengths (mapv (fn [_] (atom 0)) muscle-labels)
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50 activator
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51 (fn [n]
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52 (fn [world pressed?]
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53 (let [strength (if pressed? activation-strength 0)]
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54 (swap! (nth strengths n) (constantly strength)))))
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55 activators
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56 (map activator (range (count muscle-labels)))
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57 worm-keys
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58 ["key-f" "key-r"
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59 "key-g" "key-t"
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60 "key-y" "key-h"
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61 "key-j" "key-u"
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62 "key-i" "key-k"
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63 "key-o" "key-l"]]
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64 {:motor-control
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65 (fn [effectors]
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66 (doall
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67 (map (fn [strength effector]
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68 (effector (deref strength)))
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69 strengths effectors)))
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70 :keybindings
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71 ;; assume muscles are listed in pairs and map them to keys.
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72 (zipmap worm-keys activators)}))
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73
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74 ;; These are scripts that direct the worm to move in two radically
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75 ;; different patterns -- a sinusoidal wiggling motion, and a curling
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76 ;; motions that causes the worm to form a circle.
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77
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78 (def curl-script
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79 [[370 :d-up 40]
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80 [600 :d-up 0]])
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81
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82 (def period 18)
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83
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84 (def worm-muscle-labels
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85 [:base-up :base-down
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86 :a-down :a-up
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87 :b-up :b-down
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88 :c-down :c-up
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89 :d-up :d-down])
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90
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91 (defn gen-wiggle [[flexor extensor :as muscle-pair] time-base]
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92 (let [period period
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93 power 45]
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94 [[time-base flexor power]
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95 [(+ time-base period) flexor 0]
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96 [(+ time-base period 1) extensor power]
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97 [(+ time-base (+ (* 2 period) 2)) extensor 0]]))
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98
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99 (def wiggle-script
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100 (mapcat gen-wiggle (repeat 4000 [:a-down :a-up])
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101 (range 100 1000000 (+ 3 (* period 2)))))
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102
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103
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104 ;; Normally, we'd use unsupervised/supervised machine learning to pick
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105 ;; out the defining features of the different actions available to the
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106 ;; worm. For this project, I am going to explicitely define functions
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107 ;; that recognize curling and wiggling respectively. These functions
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108 ;; are defined using all the information available from an embodied
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109 ;; simulation of the action. Note how much easier they are to define
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110 ;; than if I only had vision to work with. Things like scale/position
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111 ;; invariance are complete non-issues here. This is the advantage of
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112 ;; body-centered action recognition and what I hope to show with this
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113 ;; thesis.
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114
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115
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116 (defn straight?
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117 "Is the worm straight?"
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118 [experiences]
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119 (every?
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120 (fn [[_ _ bend]]
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121 (< (Math/sin bend) 0.05))
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122 (:proprioception (peek experiences))))
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123
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124 (defn curled?
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125 "Is the worm curled up?"
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126 [experiences]
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127 (every?
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128 (fn [[_ _ bend]]
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129 (> (Math/sin bend) 0.64))
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130 (:proprioception (peek experiences))))
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131
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132 (defn grand-circle?
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133 "Does the worm form a majestic circle (one end touching the other)?"
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134 [experiences]
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135 (and (curled? experiences)
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136 true)) ;; TODO: add code here.
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137
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138 (defn vector:last-n [v n]
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139 (let [c (count v)]
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140 (if (< c n) v
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141 (subvec v (- c n) c))))
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142
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143 (defn touch-average [[coords touch]]
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144 (/ (average (map first touch)) (average (map second touch))))
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145
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146 (defn floor-contact [[coords contact :as touch]]
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147 (let [raw-average
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148 (average
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149 (map
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150 first
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151 (vals
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152 (select-keys
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153 (zipmap coords contact)
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154 [[8 15] [8 16] [8 17] [8 18] [8 19] [8 20] [8 21] [8 22] [9 15]
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155 [9 16] [9 17] [9 18] [9 19] [9 20] [9 21] [9 22] [10 15] [10 16]
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156 [10 17] [10 18] [10 19] [10 20] [10 21] [10 22] [11 15] [11 16]
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157 [11 17] [11 18] [11 19] [11 20] [11 21] [11 22] [12 15] [12 16]
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158 [12 17] [12 18] [12 19] [12 20] [12 21] [12 22] [13 15] [13 16]
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159 [13 17] [13 18] [13 19] [13 20] [13 21] [13 22] [14 15] [14 16]
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160 [14 17] [14 18] [14 19] [14 20] [14 21] [14 22]]))))]
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161 (Math/abs (- 1. (* 10 raw-average)))))
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162
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163
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164 (defn wiggling?
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165 "Is the worm wiggling?"
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166 [experiences]
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167 (vector:last-n experiences 200)
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168
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169 )
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170
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171 (def standard-world-view
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172 [(Vector3f. 4.207176, -3.7366982, 3.0816958)
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173 (Quaternion. 0.11118768, 0.87678415, 0.24434438, -0.3989771)])
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174
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175 (def worm-side-view
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176 [(Vector3f. 4.207176, -3.7366982, 3.0816958)
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177 (Quaternion. -0.11555642, 0.88188726, -0.2854942, -0.3569518)])
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178
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179 (def degenerate-worm-view
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180 [(Vector3f. -0.0708936, -8.570261, 2.6487997)
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181 (Quaternion. -2.318909E-4, 0.9985348, 0.053941682, 0.004291452)])
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182
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183 (defn worm-world-defaults []
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184 (let [direct-control (worm-direct-control worm-muscle-labels 40)]
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185 {:view worm-side-view
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186 :motor-control (:motor-control direct-control)
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187 :keybindings (:keybindings direct-control)
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188 :record nil
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189 :experiences nil}))
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190
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191 (defn dir! [file]
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192 (if (not (.exists file))
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193 (.mkdir file))
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194 file)
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195
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196 (defn record-experience! [experiences data]
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197 (swap! experiences #(conj % data)))
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198
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199 (defn worm-world
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200 [& {:keys [record motor-control keybindings view experiences] :as settings}]
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201 (let [{:keys [record motor-control keybindings view]}
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202 (merge (worm-world-defaults) settings)
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203 worm (doto (worm-model) (body!))
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204 touch (touch! worm)
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205 prop (proprioception! worm)
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206 muscles (movement! worm)
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207
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208 touch-display (view-touch)
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209 prop-display (view-proprioception)
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210 muscle-display (view-movement)
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211
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212 floor (box 10 1 10 :position (Vector3f. 0 -10 0)
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213 :color ColorRGBA/Gray :mass 0)]
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214
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215 (world
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216 (nodify [worm floor])
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217 (merge standard-debug-controls keybindings)
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218 (fn [world]
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219 (position-camera world view)
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220 (let [timer (IsoTimer. 60)]
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221 (.setTimer world timer)
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222 (display-dilated-time world timer))
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223 (if record
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224 (Capture/captureVideo
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225 world
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226 (dir! (File. record "main-view"))))
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227 (speed-up world)
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228 (light-up-everything world))
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229 (fn [world tpf]
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230 (let [muscle-data (motor-control muscles)
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231 proprioception-data (prop)
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232 touch-data (map #(% (.getRootNode world)) touch)]
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233 (when experiences
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234 (record-experience!
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235 experiences {:touch touch-data
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236 :proprioception proprioception-data
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237 :muscle muscle-data})
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238 (if (curled? @experiences) (println "Curled"))
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239 ;;(if (straight? @experiences) (println "Straight"))
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240 (println-repl
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241 (apply format "%.2f %.2f %.2f %.2f %.2f\n"
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242 (map floor-contact touch-data)))
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243
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244 )
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245 (muscle-display
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246 muscle-data
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247 (if record (dir! (File. record "muscle"))))
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248 (prop-display
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249 proprioception-data
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250 (if record (dir! (File. record "proprio"))))
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251 (touch-display
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252 touch-data
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253 (if record (dir! (File. record "touch")))))))))
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