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implemented elite/not elite vector tracking, moved tests

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This commit is contained in:
Ryan Boldi 2022-11-17 20:23:46 -05:00
parent e011fa7892
commit b4e4552acb
4 changed files with 187 additions and 144 deletions
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31
src/propeller/downsample.cljc
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@ -85,13 +85,13 @@
(if (sequential? (:input1 (first new-downsample)))
(prn {:cases-in-ds (map #(first (:input1 %)) new-downsample) :cases-in-tourn (map #(first (:input1 %)) tournament)})
(prn {:cases-in-ds (map #(:input1 %) new-downsample) :cases-in-tourn (map #(:input1 %) tournament)}))
;(prn {:min-case-distances min-case-distances :selected-case-index selected-case-index})
;(prn {:min-case-distances min-case-distances :selected-case-index selected-case-index})
(recur (conj new-downsample (nth tournament selected-case-index))
(shuffle (utils/drop-nth selected-case-index tournament)))))))))
(defn get-distance-between-cases
"returns the distance between two cases given a list of individual error vectors, and the index these
cases exist in the error vector"
cases exist in the error vector. Only makes the distinction between zero and nonzero errors"
[error-lists case-index-1 case-index-2]
(if (or (< (count (first error-lists)) case-index-1)
(< (count (first error-lists)) case-index-2)
@ -119,15 +119,34 @@
(if (nil? corresponding-small) % corresponding-small))
big-list))
(defn replace-mins-with-zero
"replaces the minimum value(s) in a list with zero"
[coll]
(if (empty? coll)
'()
(let [m (apply min coll)]
(map #(if (= m %) 0 %) coll))))
(defn convert-to-elite-error
"converts a set of errors into a list where all the elite errors are replaced with 0s so that we can use
it in the selection of down-samples with elite/not-elite selection"
[errors]
(map #(replace-mins-with-zero %) errors))
(defn update-case-distances
"updates the case distance field of training-data list, should be called after evaluation of individuals
evaluated-pop should be a list of individuals that all have the :errors field with a list of this
individuals performance on the each case in the ds-data, in order"
[evaluated-pop ds-data training-data]
(let [ds-indices (map #(:index %) ds-data) errors (map #(:errors %) evaluated-pop)]
individuals performance on the each case in the training-data, in order. ids-type is :elite to use elite/not-elite
or :solved to use solve/not-solved"
[evaluated-pop ds-data training-data ids-type]
(flush)
(let [ds-indices (map #(:index %) ds-data)
errors (map #(:errors %) evaluated-pop)
corr-errors (if (= ids-type :elite) (convert-to-elite-error errors) errors)] ;errors, including elite/not-elite distinction
(merge-map-lists-at-index
training-data (map-indexed
(fn [idx d-case] (update-in d-case
[:distances] #(update-at-indices
% (map (fn [other] (get-distance-between-cases errors idx other))
% (map (fn [other] (get-distance-between-cases corr-errors idx other))
(range (count ds-indices))) ds-indices))) ds-data))))

5
src/propeller/gp.cljc
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@ -35,11 +35,12 @@
(defn gp
"Main GP loop."
[{:keys [population-size max-generations error-function instructions
max-initial-plushy-size solution-error-threshold mapper ds-parent-rate ds-parent-gens dont-end]
max-initial-plushy-size solution-error-threshold mapper ds-parent-rate ds-parent-gens dont-end ids-type]
:or {solution-error-threshold 0.0
dont-end false
ds-parent-rate 0
ds-parent-gens 1
ids-type :solved ; :solved or :elite
;; The `mapper` will perform a `map`-like operation to apply a function to every individual
;; in the population. The default is `map` but other options include `mapv`, or `pmap`.
mapper #?(:clj pmap :cljs map)}
@ -118,6 +119,6 @@
#(variation/new-individual reindexed-pop argmap)))))
(if (= (:parent-selection argmap) :ds-lexicase)
(if (zero? (mod generation ds-parent-gens))
(downsample/update-case-distances rep-evaluated-pop indexed-training-data indexed-training-data) ; update distances every ds-parent-gens generations
(downsample/update-case-distances rep-evaluated-pop indexed-training-data indexed-training-data ids-type) ; update distances every ds-parent-gens generations
indexed-training-data)
indexed-training-data))))))

155
test/propeller/push/downsample_test.cljc Normal file
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@ -0,0 +1,155 @@
(ns propeller.push.downsample-test
(:require [clojure.test :as t]
[propeller.utils :as u]
[propeller.simplification :as s]
[propeller.downsample :as ds]
[propeller.hyperselection :as hs]))
(t/deftest assign-indices-to-data-test
(t/testing "assign-indices-to-data"
(t/testing "should return a map of the same length"
(t/is (= (count (ds/assign-indices-to-data (range 10))) 10))
(t/is (= (count (ds/assign-indices-to-data (range 0))) 0)))
(t/testing "should return a map where each element has an index key"
(t/is (every? #(:index %) (ds/assign-indices-to-data (map #(assoc {} :input %) (range 10))))))
(t/testing "should return distinct indices"
(t/is (= (map #(:index %) (ds/assign-indices-to-data (range 10))) (range 10))))))
(t/deftest select-downsample-random-test
(t/testing "select-downsample-random"
(t/testing "should select the correct amount of elements"
(t/is (= (count (ds/select-downsample-random (range 10) {:downsample-rate 0.1})) 1))
(t/is (= (count (ds/select-downsample-random (range 10) {:downsample-rate 0.2})) 2))
(t/is (= (count (ds/select-downsample-random (range 10) {:downsample-rate 0.5})) 5)))
(t/testing "should not return duplicate items (when called with set of numbers)"
(t/is (= (count (set (ds/select-downsample-random (range 10) {:downsample-rate 0.1}))) 1))
(t/is (= (count (set (ds/select-downsample-random (range 10) {:downsample-rate 0.2}))) 2))
(t/is (= (count (set (ds/select-downsample-random (range 10) {:downsample-rate 0.5}))) 5)))
(t/testing "should round down the number of elements selected if not whole"
(t/is (= (count (ds/select-downsample-random (range 3) {:downsample-rate 0.5})) 1))
(t/is (= (count (ds/select-downsample-random (range 1) {:downsample-rate 0.5})) 0)))
(t/testing "should not return more elements than available"
(t/is (= (count (ds/select-downsample-random (range 10) {:downsample-rate 2})) 10))
(t/is (= (count (ds/select-downsample-random (range 10) {:downsample-rate 1.5})) 10)))))
(t/deftest get-distance-between-cases-test
(t/testing "get-distance-between-cases"
(t/testing "should return correct distance"
(t/is (= 3 (ds/get-distance-between-cases '((0 1 1) (0 1 1) (1 0 1)) 0 1))))
(t/testing "should return 0 for the distance of a case to itself"
(t/is (= 0 (ds/get-distance-between-cases '((0 1 1) (0 1 1) (1 0 1)) 0 0))))
(t/testing "should work for non binary values (0 is solved)"
(t/is (= 1 (ds/get-distance-between-cases '((0 2 2) (0 2 2) (1 0 50)) 1 2))))
(t/testing "should return the max distance if one of the cases does not exist"
(t/is (= 3 (ds/get-distance-between-cases '((0 1 1) (0 1 1) (1 0 1)) 0 4))))))
(t/deftest merge-map-lists-at-index-test
(t/testing "merge-map-lists-at-index"
(t/testing "works properly"
(t/is (= '({:index 0 :a 3 :b 2} {:index 1 :a 2 :b 3}) (ds/merge-map-lists-at-index '({:index 0 :a 3 :b 2} {:index 1 :a 1 :b 2}) '({:index 1 :a 2 :b 3})))))
(t/testing "doesn't change big list if no indices match"
(t/is (= '({:index 0 :a 3 :b 2} {:index 1 :a 1 :b 2}) (ds/merge-map-lists-at-index '({:index 0 :a 3 :b 2} {:index 1 :a 1 :b 2}) '({:index 3 :a 2 :b 3})))))
(t/testing "doesn't fail on empty list"
(t/is (= '() (ds/merge-map-lists-at-index '() '()))))
(t/testing "shouldn't fail merging non-empty with empty"
(t/is (= '({:index 0 :a 3 :b 2} {:index 1 :a 1 :b 2}) (ds/merge-map-lists-at-index '({:index 0 :a 3 :b 2} {:index 1 :a 1 :b 2}) '()))))))
(t/deftest update-at-indices-test
(t/testing "update-at-indices"
(t/testing "should update at correct indices"
(t/is (= (ds/update-at-indices [1 2 3 4] [5] [0]) [5 2 3 4]))
(t/is (= (ds/update-at-indices [1 2 3 4] [5] [0]) [5 2 3 4])))
(t/testing "should update nothing if index list is empty"
(t/is (= (ds/update-at-indices [6 5 4 0 0] [] []) [6 5 4 0 0])))
(t/testing "should update nothing if index list is out of bounds"
(t/is (= (ds/update-at-indices [6 5 4 0 0] [4 5 1] [-1 5 6]) [6 5 4 0 0])))
(t/testing "should update only when indices are available (length mismatch)"
(t/is (= (ds/update-at-indices [6 5 4 0 0] [1 2 3 4] [0 1]) [1 2 4 0 0])))
(t/testing "should not care about index order"
(t/is (= (ds/update-at-indices [6 5 4 0 0] [2 1] [1 0]) [1 2 4 0 0])))
(t/testing "should work when input is a list"
(t/is (= (ds/update-at-indices '(6 5 4 0 0) '(2 1) '(1 0)) [1 2 4 0 0])))))
(t/deftest update-case-distances-test
(t/testing "update-case-distances"
(t/testing "should update correctly when fewer errors than all"
(t/is (= (ds/update-case-distances '({:errors (0 0)} {:errors (0 0)})
'({:index 3 :distances [2 2 2 2 2]} {:index 4 :distances [2 2 2 2 2]})
'({:index 0 :distances [2 2 2 2 2]} {:index 1 :distances [2 2 2 2 2]} {:index 2 :distances [2 2 2 2 2]} {:index 3 :distances [2 2 2 2 2]} {:index 4 :distances [2 2 2 2 2]})
:solved)
'({:index 0 :distances [2 2 2 2 2]} {:index 1 :distances [2 2 2 2 2]} {:index 2 :distances [2 2 2 2 2]}
{:index 3 :distances [2 2 2 0 0]} {:index 4 :distances [2 2 2 0 0]}))))
(t/testing "should update correctly when same errors as all"
(t/is (= (ds/update-case-distances '({:errors (0 0 0 0 0)} {:errors (0 0 0 0 0)})
'({:index 0 :distances [2 2 2 2 2]} {:index 1 :distances [2 2 2 2 2]} {:index 2 :distances [2 2 2 2 2]} {:index 3 :distances [2 2 2 2 2]} {:index 4 :distances [2 2 2 2 2]})
'({:index 0 :distances [2 2 2 2 2]} {:index 1 :distances [2 2 2 2 2]} {:index 2 :distances [2 2 2 2 2]} {:index 3 :distances [2 2 2 2 2]} {:index 4 :distances [2 2 2 2 2]})
:solved)
'({:index 0 :distances [0 0 0 0 0]} {:index 1 :distances [0 0 0 0 0]} {:index 2 :distances [0 0 0 0 0]}
{:index 3 :distances [0 0 0 0 0]} {:index 4 :distances [0 0 0 0 0]}))))
(t/testing "should update correctly for elite/not-elite"
(t/is (= (ds/update-case-distances '({:errors (1 1 1 2 2)} {:errors (2 2 2 1 1)})
'({:index 0 :distances [2 2 2 2 2]} {:index 1 :distances [2 2 2 2 2]} {:index 2 :distances [2 2 2 2 2]} {:index 3 :distances [2 2 2 2 2]} {:index 4 :distances [2 2 2 2 2]})
'({:index 0 :distances [2 2 2 2 2]} {:index 1 :distances [2 2 2 2 2]} {:index 2 :distances [2 2 2 2 2]} {:index 3 :distances [2 2 2 2 2]} {:index 4 :distances [2 2 2 2 2]})
:elite)
'({:index 0 :distances [0 0 0 2 2]} {:index 1 :distances [0 0 0 2 2]} {:index 2 :distances [0 0 0 2 2]}
{:index 3 :distances [2 2 2 0 0]} {:index 4 :distances [2 2 2 0 0]})))
)))
(t/deftest case-maxmin-test
(t/testing "case-maxmin selects correct downsample"
(let [selected (ds/select-downsample-maxmin
'({:input1 [0] :output1 [10] :index 0 :distances [0 5 0 0 0]}
{:input1 [1] :output1 [11] :index 1 :distances [5 0 5 5 5]}
{:input1 [2] :output1 [12] :index 2 :distances [0 5 0 0 0]}
{:input1 [3] :output1 [13] :index 3 :distances [0 5 0 0 0]}
{:input1 [4] :output1 [14] :index 4 :distances [0 5 0 0 0]})
{:downsample-rate 0.4})]
(prn {:selected selected})
(t/is (or (= (:index (first selected)) 1) (= (:index (second selected)) 1))))))
(t/deftest case-maxmin-adaptive
(t/testing "case-maxmin-adaptive selects correct downsample simple"
(let [selected (ds/select-downsample-maxmin-adaptive
'({:input1 [0] :output1 [10] :index 0 :distances [0 5 0 0 0]}
{:input1 [1] :output1 [11] :index 1 :distances [5 0 5 5 5]}
{:input1 [2] :output1 [12] :index 2 :distances [0 5 0 0 0]}
{:input1 [3] :output1 [13] :index 3 :distances [0 5 0 0 0]}
{:input1 [4] :output1 [14] :index 4 :distances [0 5 0 0 0]})
{:case-delta 0})]
(prn {:selected selected})
(t/is (or (= (:index (first selected)) 1) (= (:index (second selected)) 1)))
(t/is (= 2 (count selected)))))
(t/testing "case-maxmin-adaptive selects correct downsample when all identical"
(let [selected (ds/select-downsample-maxmin-adaptive
'({:input1 [0] :output1 [10] :index 0 :distances [0 0 0 0 0]}
{:input1 [1] :output1 [11] :index 1 :distances [0 0 0 0 0]}
{:input1 [2] :output1 [12] :index 2 :distances [0 0 0 0 0]}
{:input1 [3] :output1 [13] :index 3 :distances [0 0 0 0 0]}
{:input1 [4] :output1 [14] :index 4 :distances [0 0 0 0 0]})
{:case-delta 0})]
(prn {:selected selected})
(t/is (= 1 (count selected))))))
(t/deftest hyperselection-test
(let [parents1 '({:blah 3 :index 1} {:blah 3 :index 1}
{:blah 3 :index 1} {:blah 3 :index 2})
parents2 '({:plushy 2 :index 0} {:blah 3 :index 2}
{:blah 3 :index 3} {:index 4})
emptyparents '({:blah 1} {:blah 1} {:blah 1})]
(t/testing "sum-list-map-indices function works correctly"
(t/is (= {1 3, 2 1} (hs/sum-list-map-indices parents1)))
(t/is (= {0 1, 2 1, 3 1, 4 1} (hs/sum-list-map-indices parents2))))
(t/testing "ordered-freqs function works correctly"
(t/is (= '(3 1) (hs/ordered-freqs (hs/sum-list-map-indices parents1))))
(t/is (= '(1 1 1 1) (hs/ordered-freqs (hs/sum-list-map-indices parents2)))))
(t/testing "hyperselection-track works correctly"
(t/is (= '(0.75 0.25) (hs/hyperselection-track parents1)))
(t/is (= '(0.25 0.25 0.25 0.25) (hs/hyperselection-track parents2))))
(t/testing "reindex-pop works correctly"
(t/is (= '({:blah 3 :index 0} {:blah 3 :index 1}
{:blah 3 :index 2} {:blah 3 :index 3}) (hs/reindex-pop parents1)))
(t/is (= '({:plushy 2 :index 0} {:blah 3 :index 1}
{:blah 3 :index 2} {:index 3}) (hs/reindex-pop parents2)))
(t/is (= '({:blah 1 :index 0} {:blah 1 :index 1} {:blah 1 :index 2}) (hs/reindex-pop emptyparents))))))

132
test/propeller/utils_test.cljc
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@ -83,135 +83,3 @@
(t/testing "should decrease size of plushy that always has perfect scores"
(t/is (< (count (s/auto-simplify-plushy plushy (fn [argmap data plushy] 0) {:simplification-steps 100 :simplification-k 4 :simplification-verbose? false})) (count plushy)))
(t/is (< (count (s/auto-simplify-plushy plushy (fn [argmap data plushy] 0) {:simplification-steps 100 :simplification-k 10 :simplification-verbose? false})) (count plushy)))))))
(t/deftest assign-indices-to-data-test
(t/testing "assign-indices-to-data"
(t/testing "should return a map of the same length"
(t/is (= (count (ds/assign-indices-to-data (range 10))) 10))
(t/is (= (count (ds/assign-indices-to-data (range 0))) 0)))
(t/testing "should return a map where each element has an index key"
(t/is (every? #(:index %) (ds/assign-indices-to-data (map #(assoc {} :input %) (range 10))))))
(t/testing "should return distinct indices"
(t/is (= (map #(:index %) (ds/assign-indices-to-data (range 10))) (range 10))))))
(t/deftest select-downsample-random-test
(t/testing "select-downsample-random"
(t/testing "should select the correct amount of elements"
(t/is (= (count (ds/select-downsample-random (range 10) {:downsample-rate 0.1})) 1))
(t/is (= (count (ds/select-downsample-random (range 10) {:downsample-rate 0.2})) 2))
(t/is (= (count (ds/select-downsample-random (range 10) {:downsample-rate 0.5})) 5)))
(t/testing "should not return duplicate items (when called with set of numbers)"
(t/is (= (count (set (ds/select-downsample-random (range 10) {:downsample-rate 0.1}))) 1))
(t/is (= (count (set (ds/select-downsample-random (range 10) {:downsample-rate 0.2}))) 2))
(t/is (= (count (set (ds/select-downsample-random (range 10) {:downsample-rate 0.5}))) 5)))
(t/testing "should round down the number of elements selected if not whole"
(t/is (= (count (ds/select-downsample-random (range 3) {:downsample-rate 0.5})) 1))
(t/is (= (count (ds/select-downsample-random (range 1) {:downsample-rate 0.5})) 0)))
(t/testing "should not return more elements than available"
(t/is (= (count (ds/select-downsample-random (range 10) {:downsample-rate 2})) 10))
(t/is (= (count (ds/select-downsample-random (range 10) {:downsample-rate 1.5})) 10)))))
(t/deftest get-distance-between-cases-test
(t/testing "get-distance-between-cases"
(t/testing "should return correct distance"
(t/is (= 3 (ds/get-distance-between-cases '((0 1 1) (0 1 1) (1 0 1)) 0 1))))
(t/testing "should return 0 for the distance of a case to itself"
(t/is (= 0 (ds/get-distance-between-cases '((0 1 1) (0 1 1) (1 0 1)) 0 0))))
(t/testing "should work for non binary values (0 is solved)"
(t/is (= 1 (ds/get-distance-between-cases '((0 2 2) (0 2 2) (1 0 50)) 1 2))))
(t/testing "should return the max distance if one of the cases does not exist"
(t/is (= 3 (ds/get-distance-between-cases '((0 1 1) (0 1 1) (1 0 1)) 0 4))))))
(t/deftest merge-map-lists-at-index-test
(t/testing "merge-map-lists-at-index"
(t/testing "works properly"
(t/is (= '({:index 0 :a 3 :b 2} {:index 1 :a 2 :b 3}) (ds/merge-map-lists-at-index '({:index 0 :a 3 :b 2} {:index 1 :a 1 :b 2}) '({:index 1 :a 2 :b 3})))))
(t/testing "doesn't change big list if no indices match"
(t/is (= '({:index 0 :a 3 :b 2} {:index 1 :a 1 :b 2}) (ds/merge-map-lists-at-index '({:index 0 :a 3 :b 2} {:index 1 :a 1 :b 2}) '({:index 3 :a 2 :b 3})))))
(t/testing "doesn't fail on empty list"
(t/is (= '() (ds/merge-map-lists-at-index '() '()))))
(t/testing "shouldn't fail merging non-empty with empty"
(t/is (= '({:index 0 :a 3 :b 2} {:index 1 :a 1 :b 2}) (ds/merge-map-lists-at-index '({:index 0 :a 3 :b 2} {:index 1 :a 1 :b 2}) '()))))))
(t/deftest update-at-indices-test
(t/testing "update-at-indices"
(t/testing "should update at correct indices"
(t/is (= (ds/update-at-indices [1 2 3 4] [5] [0]) [5 2 3 4]))
(t/is (= (ds/update-at-indices [1 2 3 4] [5] [0]) [5 2 3 4])))
(t/testing "should update nothing if index list is empty"
(t/is (= (ds/update-at-indices [6 5 4 0 0] [] []) [6 5 4 0 0])))
(t/testing "should update nothing if index list is out of bounds"
(t/is (= (ds/update-at-indices [6 5 4 0 0] [4 5 1] [-1 5 6]) [6 5 4 0 0])))
(t/testing "should update only when indices are available (length mismatch)"
(t/is (= (ds/update-at-indices [6 5 4 0 0] [1 2 3 4] [0 1]) [1 2 4 0 0])))
(t/testing "should not care about index order"
(t/is (= (ds/update-at-indices [6 5 4 0 0] [2 1] [1 0]) [1 2 4 0 0])))
(t/testing "should work when input is a list"
(t/is (= (ds/update-at-indices '(6 5 4 0 0) '(2 1) '(1 0)) [1 2 4 0 0])))))
(t/deftest update-case-distances-test
(t/testing "update-case-distances"
(t/testing "should ..."
(t/is (= (ds/update-case-distances '({:errors (0 0)} {:errors (0 0)})
'({:index 3 :distances [2 2 2 2 2]} {:index 4 :distances [2 2 2 2 2]})
'({:index 0 :distances [2 2 2 2 2]} {:index 1 :distances [2 2 2 2 2]} {:index 2 :distances [2 2 2 2 2]} {:index 3 :distances [2 2 2 2 2]} {:index 4 :distances [2 2 2 2 2]}))
'({:index 0 :distances [2 2 2 2 2]} {:index 1 :distances [2 2 2 2 2]} {:index 2 :distances [2 2 2 2 2]}
{:index 3 :distances [2 2 2 0 0]} {:index 4 :distances [2 2 2 0 0]}))))))
(t/deftest case-maxmin-test
(t/testing "case-maxmin selects correct downsample"
(let [selected (ds/select-downsample-maxmin
'({:input1 [0] :output1 [10] :index 0 :distances [0 5 0 0 0]}
{:input1 [1] :output1 [11] :index 1 :distances [5 0 5 5 5]}
{:input1 [2] :output1 [12] :index 2 :distances [0 5 0 0 0]}
{:input1 [3] :output1 [13] :index 3 :distances [0 5 0 0 0]}
{:input1 [4] :output1 [14] :index 4 :distances [0 5 0 0 0]})
{:downsample-rate 0.4})]
(prn {:selected selected})
(t/is (or (= (:index (first selected)) 1) (= (:index (second selected)) 1))))))
(t/deftest case-maxmin-adaptive
(t/testing "case-maxmin-adaptive selects correct downsample simple"
(let [selected (ds/select-downsample-maxmin-adaptive
'({:input1 [0] :output1 [10] :index 0 :distances [0 5 0 0 0]}
{:input1 [1] :output1 [11] :index 1 :distances [5 0 5 5 5]}
{:input1 [2] :output1 [12] :index 2 :distances [0 5 0 0 0]}
{:input1 [3] :output1 [13] :index 3 :distances [0 5 0 0 0]}
{:input1 [4] :output1 [14] :index 4 :distances [0 5 0 0 0]})
{:case-delta 0})]
(prn {:selected selected})
(t/is (or (= (:index (first selected)) 1) (= (:index (second selected)) 1)))
(t/is (= 2 (count selected)))))
(t/testing "case-maxmin-adaptive selects correct downsample when all identical"
(let [selected (ds/select-downsample-maxmin-adaptive
'({:input1 [0] :output1 [10] :index 0 :distances [0 0 0 0 0]}
{:input1 [1] :output1 [11] :index 1 :distances [0 0 0 0 0]}
{:input1 [2] :output1 [12] :index 2 :distances [0 0 0 0 0]}
{:input1 [3] :output1 [13] :index 3 :distances [0 0 0 0 0]}
{:input1 [4] :output1 [14] :index 4 :distances [0 0 0 0 0]})
{:case-delta 0})]
(prn {:selected selected})
(t/is (= 1 (count selected))))))
(t/deftest hyperselection-test
(let [parents1 '({:blah 3 :index 1} {:blah 3 :index 1}
{:blah 3 :index 1} {:blah 3 :index 2})
parents2 '({:plushy 2 :index 0} {:blah 3 :index 2}
{:blah 3 :index 3} {:index 4})
emptyparents '({:blah 1} {:blah 1} {:blah 1})]
(t/testing "sum-list-map-indices function works correctly"
(t/is (= {1 3, 2 1} (hs/sum-list-map-indices parents1)))
(t/is (= {0 1, 2 1, 3 1, 4 1} (hs/sum-list-map-indices parents2))))
(t/testing "ordered-freqs function works correctly"
(t/is (= '(3 1) (hs/ordered-freqs (hs/sum-list-map-indices parents1))))
(t/is (= '(1 1 1 1) (hs/ordered-freqs (hs/sum-list-map-indices parents2)))))
(t/testing "hyperselection-track works correctly"
(t/is (= '(0.75 0.25) (hs/hyperselection-track parents1)))
(t/is (= '(0.25 0.25 0.25 0.25) (hs/hyperselection-track parents2))))
(t/testing "reindex-pop works correctly"
(t/is (= '({:blah 3 :index 0} {:blah 3 :index 1}
{:blah 3 :index 2} {:blah 3 :index 3}) (hs/reindex-pop parents1)))
(t/is (= '({:plushy 2 :index 0} {:blah 3 :index 1}
{:blah 3 :index 2} {:index 3}) (hs/reindex-pop parents2)))
(t/is (= '({:blah 1 :index 0} {:blah 1 :index 1} {:blah 1 :index 2}) (hs/reindex-pop emptyparents))))))