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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 test))
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7 (:import (com.jme3.math ColorRGBA Vector3f))
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8 (:import java.io.File)
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9 (:import com.jme3.audio.AudioNode)
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10 (:import com.aurellem.capture.RatchetTimer)
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11 (:import (com.aurellem.capture Capture IsoTimer))
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12 (:import (com.jme3.math Vector3f ColorRGBA)))
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13
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14 (use 'clojure.pprint)
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15 (use 'clojure.set)
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16 (dorun (cortex.import/mega-import-jme3))
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17 (rlm.rlm-commands/help)
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18
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19 (load-bullet)
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20
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21 (def hand "Models/test-creature/hand.blend")
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22
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23 (defn worm-model []
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24 (load-blender-model "Models/worm/worm.blend"))
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25
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26 (def output-base (File. "/home/r/proj/cortex/render/worm-learn/curl"))
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27
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28
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29 (defn motor-control-program
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30 "Create a function which will execute the motor script"
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31 [muscle-labels
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32 script]
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33 (let [current-frame (atom -1)
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34 keyed-script (group-by first script)
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35 current-forces (atom {}) ]
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36 (fn [effectors]
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37 (let [indexed-effectors (vec effectors)]
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38 (dorun
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39 (for [[_ part force] (keyed-script (swap! current-frame inc))]
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40 (swap! current-forces (fn [m] (assoc m part force)))))
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41 (doall (map (fn [effector power]
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42 (effector (int power)))
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43 effectors
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44 (map #(@current-forces % 0) muscle-labels)))))))
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45
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46 (defn worm-direct-control
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47 "Create keybindings and a muscle control program that will enable
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48 the user to control the worm via the keyboard."
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49 [muscle-labels activation-strength]
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50 (let [strengths (mapv (fn [_] (atom 0)) muscle-labels)
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51 activator
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52 (fn [n]
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53 (fn [world pressed?]
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54 (let [strength (if pressed? activation-strength 0)]
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55 (swap! (nth strengths n) (constantly strength)))))
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56 activators
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57 (map activator (range (count muscle-labels)))
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58 worm-keys
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59 ["key-f" "key-r"
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60 "key-g" "key-t"
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61 "key-y" "key-h"
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62 "key-j" "key-u"
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63 "key-i" "key-k"
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64 "key-o" "key-l"]]
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65 {:motor-control
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66 (fn [effectors]
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67 (doall
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68 (map (fn [strength effector]
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69 (effector (deref strength)))
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70 strengths effectors)))
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71 :keybindings
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72 ;; assume muscles are listed in pairs and map them to keys.
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73 (zipmap worm-keys activators)}))
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74
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75 ;; These are scripts that direct the worm to move in two radically
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76 ;; different patterns -- a sinusoidal wiggling motion, and a curling
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77 ;; motions that causes the worm to form a circle.
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78
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79 (def curl-script
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80 [[370 :d-up 40]
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81 [600 :d-up 0]])
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82
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83 (def period 18)
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84
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85 (def worm-muscle-labels
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86 [:base-up :base-down
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87 :a-down :a-up
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88 :b-up :b-down
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89 :c-down :c-up
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90 :d-up :d-down])
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91
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92 (defn gen-wiggle [[flexor extensor :as muscle-pair] time-base]
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93 (let [period period
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94 power 45]
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95 [[time-base flexor power]
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96 [(+ time-base period) flexor 0]
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97 [(+ time-base period 1) extensor power]
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98 [(+ time-base (+ (* 2 period) 2)) extensor 0]]))
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99
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100 (def wiggle-script
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101 (mapcat gen-wiggle (repeat 4000 [:a-down :a-up])
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102 (range 100 1000000 (+ 3 (* period 2)))))
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103
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104
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105 ;; Normally, we'd use unsupervised/supervised machine learning to pick
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106 ;; out the defining features of the different actions available to the
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107 ;; worm. For this project, I am going to explicitely define functions
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108 ;; that recognize curling and wiggling respectively. These functions
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109 ;; are defined using all the information available from an embodied
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110 ;; simulation of the action. Note how much easier they are to define
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111 ;; than if I only had vision to work with. Things like scale/position
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112 ;; invariance are complete non-issues here. This is the advantage of
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113 ;; body-centered action recognition and what I hope to show with this
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114 ;; thesis.
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115
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116
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117 (defn straight?
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118 "Is the worm straight?"
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119 [experiences]
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120 (every?
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121 (fn [[_ _ bend]]
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122 (< (Math/sin bend) 0.05))
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123 (:proprioception (peek experiences))))
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124
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125 (defn curled?
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126 "Is the worm curled up?"
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127 [experiences]
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128 (every?
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129 (fn [[_ _ bend]]
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130 (> (Math/sin bend) 0.64))
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131 (:proprioception (peek experiences))))
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132
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133 (defn grand-circle?
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134 "Does the worm form a majestic circle (one end touching the other)?"
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135 [experiences]
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136 (and (curled? experiences)
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137 true)) ;; TODO: add code here.
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138
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139 (defn vector:last-n [v n]
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140 (let [c (count v)]
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141 (if (< c n) v
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142 (subvec v (- c n) c))))
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143
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144 (defn touch-average [[coords touch]]
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145 (/ (average (map first touch)) (average (map second touch))))
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146
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147 (defn rect-region [[x0 y0] [x1 y1]]
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148 (vec
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149 (for [x (range x0 (inc x1))
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150 y (range y0 (inc y1))]
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151 [x y])))
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152
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153 (def worm-segment-touch-bottom (rect-region [8 15] [14 22]))
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154
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155 (defn contact
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156 "Determine how much contact a particular worm segment has with
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157 other objects. Returns a value between 0 and 1, where 1 is full
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158 contact and 0 is no contact."
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159 [[coords contact :as touch]]
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160 (-> (zipmap coords contact)
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161 (select-keys worm-segment-touch-bottom)
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162 (vals)
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163 (#(map first %))
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164 (average)
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165 (* 10)
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166 (- 1)
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167 (Math/abs)))
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168
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169 (defn wiggling?
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170 "Is the worm wiggling?"
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171 [experiences]
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172 (vector:last-n experiences 200)
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173
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174 )
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175
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176 (def standard-world-view
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177 [(Vector3f. 4.207176, -3.7366982, 3.0816958)
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178 (Quaternion. 0.11118768, 0.87678415, 0.24434438, -0.3989771)])
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179
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180 (def worm-side-view
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181 [(Vector3f. 4.207176, -3.7366982, 3.0816958)
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182 (Quaternion. -0.11555642, 0.88188726, -0.2854942, -0.3569518)])
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183
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184 (def degenerate-worm-view
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185 [(Vector3f. -0.0708936, -8.570261, 2.6487997)
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186 (Quaternion. -2.318909E-4, 0.9985348, 0.053941682, 0.004291452)])
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187
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188 (defn worm-world-defaults []
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189 (let [direct-control (worm-direct-control worm-muscle-labels 40)]
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190 {:view worm-side-view
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191 :motor-control (:motor-control direct-control)
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192 :keybindings (:keybindings direct-control)
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193 :record nil
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194 :experiences nil
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195 :worm-model worm-model
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196 :end-frame nil}))
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197
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198 (defn dir! [file]
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199 (if-not (.exists file)
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200 (.mkdir file))
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201 file)
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202
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203 (defn record-experience! [experiences data]
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204 (swap! experiences #(conj % data)))
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205
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206 (defn worm-world
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207 [& {:keys [record motor-control keybindings view experiences
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208 worm-model end-frame] :as settings}]
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209 (let [{:keys [record motor-control keybindings view experiences
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210 worm-model end-frame]}
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211 (merge (worm-world-defaults) settings)
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212 worm (doto (worm-model) (body!))
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213 touch (touch! worm)
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214 prop (proprioception! worm)
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215 muscles (movement! worm)
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216
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217 touch-display (view-touch)
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218 prop-display (view-proprioception)
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219 muscle-display (view-movement)
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220
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221 floor (box 10 1 10 :position (Vector3f. 0 -10 0)
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222 :color ColorRGBA/Gray :mass 0)
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223 timer (IsoTimer. 60)]
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224
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225 (world
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226 (nodify [worm floor])
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227 (merge standard-debug-controls keybindings)
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228 (fn [world]
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229 (position-camera world view)
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230 (.setTimer world timer)
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231 (display-dilated-time world timer)
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232 (if record
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233 (Capture/captureVideo
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234 world
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235 (dir! (File. record "main-view"))))
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236 (speed-up world)
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237 (light-up-everything world))
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238 (fn [world tpf]
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239 (if (and end-frame (> (.getTime timer) end-frame))
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240 (.stop world))
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241 (let [muscle-data (motor-control muscles)
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242 proprioception-data (prop)
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243 touch-data (map #(% (.getRootNode world)) touch)]
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244 (when experiences
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245 (record-experience!
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246 experiences {:touch touch-data
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247 :proprioception proprioception-data
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248 :muscle muscle-data})
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249 ;;(if (curled? @experiences) (println "Curled"))
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250 ;;(if (straight? @experiences) (println "Straight"))
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251 ;; (println-repl
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252 ;; (apply format "%.2f %.2f %.2f %.2f %.2f\n"
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253 ;; (map contact touch-data)))
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254
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255 )
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256 (muscle-display
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257 muscle-data
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258 (if record (dir! (File. record "muscle"))))
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259 (prop-display
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260 proprioception-data
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261 (if record (dir! (File. record "proprio"))))
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262 (touch-display
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263 touch-data
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264 (if record (dir! (File. record "touch")))))))))
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265
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266
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267
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