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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 (import org.apache.commons.math3.transform.TransformType)
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15 (import org.apache.commons.math3.transform.FastFourierTransformer)
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16 (import org.apache.commons.math3.transform.DftNormalization)
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17
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18 (use 'clojure.pprint)
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19 (use 'clojure.set)
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20 (dorun (cortex.import/mega-import-jme3))
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21 (rlm.rlm-commands/help)
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22
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23 (load-bullet)
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24
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25 (def hand "Models/test-creature/hand.blend")
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26
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27 (defn worm-model []
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28 (load-blender-model "Models/worm/worm.blend"))
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29
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30 (def output-base (File. "/home/r/proj/cortex/render/worm-learn/curl"))
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31
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32
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33 (defn motor-control-program
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34 "Create a function which will execute the motor script"
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35 [muscle-labels
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36 script]
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37 (let [current-frame (atom -1)
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38 keyed-script (group-by first script)
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39 current-forces (atom {}) ]
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40 (fn [effectors]
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41 (let [indexed-effectors (vec effectors)]
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42 (dorun
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43 (for [[_ part force] (keyed-script (swap! current-frame inc))]
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44 (swap! current-forces (fn [m] (assoc m part force)))))
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45 (doall (map (fn [effector power]
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46 (effector (int power)))
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47 effectors
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48 (map #(@current-forces % 0) muscle-labels)))))))
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49
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50 (defn worm-direct-control
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51 "Create keybindings and a muscle control program that will enable
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52 the user to control the worm via the keyboard."
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53 [muscle-labels activation-strength]
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54 (let [strengths (mapv (fn [_] (atom 0)) muscle-labels)
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55 activator
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56 (fn [n]
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57 (fn [world pressed?]
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58 (let [strength (if pressed? activation-strength 0)]
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59 (swap! (nth strengths n) (constantly strength)))))
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60 activators
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61 (map activator (range (count muscle-labels)))
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62 worm-keys
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63 ["key-f" "key-r"
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64 "key-g" "key-t"
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65 "key-h" "key-y"
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66 "key-j" "key-u"
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67 "key-k" "key-i"
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68 "key-l" "key-o"]]
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69 {:motor-control
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70 (fn [effectors]
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71 (doall
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72 (map (fn [strength effector]
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73 (effector (deref strength)))
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74 strengths effectors)))
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75 :keybindings
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76 ;; assume muscles are listed in pairs and map them to keys.
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77 (zipmap worm-keys activators)}))
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78
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79 ;; These are scripts that direct the worm to move in two radically
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80 ;; different patterns -- a sinusoidal wiggling motion, and a curling
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81 ;; motions that causes the worm to form a circle.
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82
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83 (def curl-script
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84 [[150 :d-flex 40]
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85 [250 :d-flex 0]])
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86
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87 (def period 18)
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88
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89 (def worm-muscle-labels
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90 [:base-ex :base-flex
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91 :a-ex :a-flex
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92 :b-ex :b-flex
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93 :c-ex :c-flex
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94 :d-ex :d-flex])
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95
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96 (defn gen-wiggle [[flexor extensor :as muscle-pair] time-base]
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97 (let [period period
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98 power 45]
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99 [[time-base flexor power]
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100 [(+ time-base period) flexor 0]
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101 [(+ time-base period 1) extensor power]
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102 [(+ time-base (+ (* 2 period) 2)) extensor 0]]))
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103
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104 (def wiggle-script
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105 (mapcat gen-wiggle (repeat 4000 [:a-ex :a-flex])
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106 (range 100 1000000 (+ 3 (* period 2)))))
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107
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108
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109 (defn shift-script [shift script]
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110 (map (fn [[time label power]] [(+ time shift) label power])
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111 script))
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112
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113 (def do-all-the-things
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114 (concat
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115 curl-script
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116 [[300 :d-ex 40]
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117 [320 :d-ex 0]]
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118 (shift-script 280 (take 16 wiggle-script))))
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119
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120 ;; Normally, we'd use unsupervised/supervised machine learning to pick
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121 ;; out the defining features of the different actions available to the
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122 ;; worm. For this project, I am going to explicitely define functions
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123 ;; that recognize curling and wiggling respectively. These functions
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124 ;; are defined using all the information available from an embodied
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125 ;; simulation of the action. Note how much easier they are to define
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126 ;; than if I only had vision to work with. Things like scale/position
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127 ;; invariance are complete non-issues here. This is the advantage of
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128 ;; body-centered action recognition and what I hope to show with this
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129 ;; thesis.
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130
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131
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132 ;; curled? relies on proprioception, resting? relies on touch,
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133 ;; wiggling? relies on a fourier analysis of muscle contraction, and
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134 ;; grand-circle? relies on touch and reuses curled? as a gaurd.
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135
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136 (defn curled?
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137 "Is the worm curled up?"
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138 [experiences]
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139 (every?
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140 (fn [[_ _ bend]]
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141 (> (Math/sin bend) 0.64))
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142 (:proprioception (peek experiences))))
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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-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 [touch-region [coords contact :as touch]]
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160 (-> (zipmap coords contact)
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161 (select-keys touch-region)
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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 resting?
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170 "Is the worm straight?"
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171 [experiences]
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172 (every?
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173 (fn [touch-data]
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174 (< 0.9 (contact worm-segment-bottom touch-data)))
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175 (:touch (peek experiences))))
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176
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177 (defn vector:last-n [v n]
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178 (let [c (count v)]
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179 (if (< c n) v
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180 (subvec v (- c n) c))))
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181
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182 (defn fft [nums]
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183 (map
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184 #(.getReal %)
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185 (.transform
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186 (FastFourierTransformer. DftNormalization/STANDARD)
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187 (double-array nums) TransformType/FORWARD)))
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188
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189 (def indexed (partial map-indexed vector))
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190
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191 (defn max-indexed [s]
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192 (first (sort-by (comp - second) (indexed s))))
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193
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194 (defn wiggling?
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195 "Is the worm wiggling?"
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196 [experiences]
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197 (let [analysis-interval 0x40]
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198 (when (> (count experiences) analysis-interval)
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199 (let [a-flex 3
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200 a-ex 2
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201 muscle-activity
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202 (map :muscle (vector:last-n experiences analysis-interval))
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203 base-activity
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204 (map #(- (% a-flex) (% a-ex)) muscle-activity)]
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205 (= 2
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206 (first
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207 (max-indexed
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208 (map #(Math/abs %)
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209 (take 20 (fft base-activity))))))))))
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210
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211 (def worm-segment-bottom-tip (rect-region [15 15] [22 22]))
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212
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213 (def worm-segment-top-tip (rect-region [0 15] [7 22]))
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214
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215 (defn grand-circle?
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216 "Does the worm form a majestic circle (one end touching the other)?"
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217 [experiences]
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218 (and (curled? experiences)
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219 (let [worm-touch (:touch (peek experiences))
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220 tail-touch (worm-touch 0)
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221 head-touch (worm-touch 4)]
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222 (and (< 0.55 (contact worm-segment-bottom-tip tail-touch))
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223 (< 0.55 (contact worm-segment-top-tip head-touch))))))
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224
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225
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226 (declare phi-space phi-scan)
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227
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228 (defn next-phi-states
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229 "Given proprioception data, determine the most likely next sensory
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230 pattern from previous experience."
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231 [proprio phi-space phi-scan]
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232 (if-let [results (phi-scan proprio)]
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233 (mapv phi-space
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234 (filter (partial > (count phi-space))
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235 (map inc results)))))
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236
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237 (defn debug-experience
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238 [experiences]
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239 (cond
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240 (grand-circle? experiences) (println "Grand Circle")
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241 (curled? experiences) (println "Curled")
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242 (wiggling? experiences) (println "Wiggling")
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243 (resting? experiences) (println "Resting")))
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244
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245
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246 (def standard-world-view
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247 [(Vector3f. 4.207176, -3.7366982, 3.0816958)
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248 (Quaternion. 0.11118768, 0.87678415, 0.24434438, -0.3989771)])
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249
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250 (def worm-side-view
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251 [(Vector3f. 4.207176, -3.7366982, 3.0816958)
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252 (Quaternion. -0.11555642, 0.88188726, -0.2854942, -0.3569518)])
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253
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254 (def degenerate-worm-view
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255 [(Vector3f. -0.0708936, -8.570261, 2.6487997)
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256 (Quaternion. -2.318909E-4, 0.9985348, 0.053941682, 0.004291452)])
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257
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258 (defn worm-world-defaults []
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259 (let [direct-control (worm-direct-control worm-muscle-labels 40)]
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260 {:view worm-side-view
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261 :motor-control (:motor-control direct-control)
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262 :keybindings (:keybindings direct-control)
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263 :record nil
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264 :experiences (atom [])
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265 :experience-watch debug-experience
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266 :worm-model worm-model
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267 :end-frame nil}))
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268
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269 (defn dir! [file]
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270 (if-not (.exists file)
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271 (.mkdir file))
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272 file)
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273
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274 (defn record-experience! [experiences data]
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275 (swap! experiences #(conj % data)))
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276
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277 (defn worm-world
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278 [& {:keys [record motor-control keybindings view experiences
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279 worm-model end-frame experience-watch] :as settings}]
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280 (let [{:keys [record motor-control keybindings view experiences
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281 worm-model end-frame experience-watch]}
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282 (merge (worm-world-defaults) settings)
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283 worm (doto (worm-model) (body!))
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284 touch (touch! worm)
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285 prop (proprioception! worm)
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286 muscles (movement! worm)
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287
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288 touch-display (view-touch)
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289 prop-display (view-proprioception)
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290 muscle-display (view-movement)
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291
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292 floor (box 10 1 10 :position (Vector3f. 0 -10 0)
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293 :color ColorRGBA/Gray :mass 0)
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294 timer (IsoTimer. 60)]
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295
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296 (world
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297 (nodify [worm floor])
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298 (merge standard-debug-controls keybindings)
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299 (fn [world]
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300 (position-camera world view)
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301 (.setTimer world timer)
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302 (display-dilated-time world timer)
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303 (if record
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304 (Capture/captureVideo
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305 world
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306 (dir! (File. record "main-view"))))
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307 (speed-up world)
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308 (light-up-everything world))
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309 (fn [world tpf]
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310 (if (and end-frame (> (.getTime timer) end-frame))
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311 (.stop world))
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312 (let [muscle-data (vec (motor-control muscles))
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313 proprioception-data (prop)
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314 touch-data (mapv #(% (.getRootNode world)) touch)]
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315 (when experiences
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316 (record-experience!
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317 experiences {:touch touch-data
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318 :proprioception proprioception-data
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319 :muscle muscle-data}))
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320 (when experience-watch
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321 (experience-watch @experiences))
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322 (muscle-display
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323 muscle-data
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324 (if record (dir! (File. record "muscle"))))
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325 (prop-display
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326 proprioception-data
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327 (if record (dir! (File. record "proprio"))))
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328 (touch-display
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329 touch-data
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330 (if record (dir! (File. record "touch")))))))))
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331
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332
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333
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334 ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
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335 ;;;;;;;; Phi-Space ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
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336 ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
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337
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338 (defn generate-phi-space []
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339 (let [experiences (atom [])]
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340 (run-world
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341 (apply-map
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342 worm-world
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343 (merge
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344 (worm-world-defaults)
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345 {:end-frame 700
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346 :motor-control
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347 (motor-control-program worm-muscle-labels do-all-the-things)
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348 :experiences experiences})))
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349 @experiences))
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350
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351 (defn bin [digits]
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352 (fn [angles]
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353 (->> angles
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354 (flatten)
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355 (map (juxt #(Math/sin %) #(Math/cos %)))
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356 (flatten)
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357 (mapv #(Math/round (* % (Math/pow 10 (dec digits))))))))
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358
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359 ;; k-nearest neighbors with spatial binning. Only returns a result if
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360 ;; the propriceptive data is within 10% of a previously recorded
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361 ;; result in all dimensions.
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362 (defn gen-phi-scan [phi-space]
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363 (let [bin-keys (map bin [3 2 1])
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364 bin-maps
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365 (map (fn [bin-key]
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366 (group-by
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367 (comp bin-key :proprioception phi-space)
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368 (range (count phi-space)))) bin-keys)
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369 lookups (map (fn [bin-key bin-map]
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370 (fn [proprio] (bin-map (bin-key proprio))))
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371 bin-keys bin-maps)]
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372 (fn lookup [proprio-data]
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373 (set (some #(% proprio-data) lookups)))))
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374
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375
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376 (defn longest-thread
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377 "Find the longest thread from phi-index-sets. The index sets should
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378 be ordered from most recent to least recent."
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379 [phi-index-sets]
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380 (loop [result '()
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381 [thread-bases & remaining :as phi-index-sets] phi-index-sets]
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382 (if (empty? phi-index-sets)
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383 (vec result)
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384 (let [threads
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385 (for [thread-base thread-bases]
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386 (loop [thread (list thread-base)
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387 remaining remaining]
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388 (let [next-index (dec (first thread))]
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389 (cond (empty? remaining) thread
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390 (contains? (first remaining) next-index)
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391 (recur
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392 (cons next-index thread) (rest remaining))
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393 :else thread))))
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394 longest-thread
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395 (reduce (fn [thread-a thread-b]
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396 (if (> (count thread-a) (count thread-b))
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397 thread-a thread-b))
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398 '(nil)
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399 threads)]
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400 (recur (concat longest-thread result)
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401 (drop (count longest-thread) phi-index-sets))))))
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402
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403
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404 (defn init []
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405 (def phi-space (generate-phi-space))
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406 (def phi-scan (gen-phi-scan phi-space))
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407 )
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408
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409
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410
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411
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412
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413 (defn infer-nils
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414 "Replace nils with the next available non-nil element in the
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415 sequence, or barring that, 0."
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416 [s]
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417 (loop [i (dec (count s)) v (transient s)]
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418 (if (= i 0) (persistent! v)
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419 (let [cur (v i)]
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420 (if cur
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421 (if (get v (dec i) 0)
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422 (recur (dec i) v)
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423 (recur (dec i) (assoc! v (dec i) cur)))
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424 (recur i (assoc! v i 0)))))))
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425
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426 ;; tests
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427
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428 ;;(infer-nils [1 nil 1 1]) [1 1 1 1]
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429 ;;(infer-nils [1 1 1 nil]) [1 1 1 0]
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430 ;;(infer-nils [nil 2 1 1]) [2 2 1 1]
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431
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432
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433 (defn debug-experience-phi []
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434 (let [proprio (atom ())]
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435 (fn
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436 [experiences]
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437 (let [phi-indices (phi-scan (:proprioception (peek experiences)))]
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438 (swap! proprio (partial cons phi-indices))
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439 (let [exp-thread (longest-thread (take 300 @proprio))
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440 phi-loop (mapv phi-space (infer-nils exp-thread))]
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441 (println-repl (vector:last-n exp-thread 22))
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442 (cond
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443 (grand-circle? phi-loop) (println "Grand Circle")
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444 (curled? phi-loop) (println "Curled")
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445 (wiggling? phi-loop) (println "Wiggling")
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446 (resting? phi-loop) (println "Resting")
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447 :else (println "Unknown")))))))
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448
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449
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450 (defn init-interactive []
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451 (def phi-space
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452 (let [experiences (atom [])]
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453 (run-world
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454 (apply-map
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455 worm-world
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456 (merge
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457 (worm-world-defaults)
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458 {:experiences experiences})))
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459 @experiences))
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460 (def phi-scan (gen-phi-scan phi-space)))
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461
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462
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463 (defn run-experiment-1 []
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464 (.start (worm-world :experience-watch (debug-experience-phi)))) |