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Adapt bench/dev code to use new kdtree api.
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1 changed files with 9 additions and 8 deletions
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@ -23,14 +23,14 @@
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(println "1000x1000,10 -> 10000 points")
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(let [tree (k/create)]
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(time
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(k/initialize tree 1000 1000 10 10))))
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(k/setup tree 1000 1000 10 10))))
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(defn- bench-init-250000
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[]
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(println "5000x5000,10 -> 250000 points")
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(let [tree (k/create)]
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(time
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(k/initialize tree 5000 5000 10 10))))
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(k/setup tree 5000 5000 10 10))))
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(defn bench-init
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[]
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@ -42,13 +42,13 @@
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(defn- bench-knn-160000
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[]
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(let [tree (k/create)]
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(k/initialize tree 4000 4000 10 10)
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(k/setup tree 4000 4000 10 10)
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(println "KNN Search (160000 points) 1000 times")
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(time
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(dotimes [i 1000]
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(let [pt #js [(rand-int 400)
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(rand-int 400)]]
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(.nearest tree pt 2))))))
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(k/nearest tree pt 2))))))
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(defn- bench-knn-360000
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@ -60,7 +60,7 @@
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(dotimes [i 1000]
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(let [pt #js [(rand-int 600)
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(rand-int 600)]]
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(.nearest tree pt 2))))))
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(k/nearest tree pt 2))))))
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(defn bench-knn
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[]
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@ -71,11 +71,12 @@
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(defn test-accuracity
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[]
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(let [tree (k/create (generate-points 4000 20))]
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(let [tree (k/create)]
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(k/setup tree 4000 4000 20 20)
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(print "[1742 1419]")
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(pprint (js->clj (.nearest tree #js [1742 1419] 6)))
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(pprint (js->clj (k/nearest tree #js [1742 1419] 6)))
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(print "[1742 1420]")
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(pprint (js->clj (.nearest tree #js [1742 1420] 6)))
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(pprint (js->clj (k/nearest tree #js [1742 1420] 6)))
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))
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(defn test-interval
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