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module GenomeTest (suite) where
import Test.Tasty
import Test.Tasty.HUnit
import Mind (Edge (..), NeuronIndex (..))
import qualified Mind as N (Network (..))
import Genome
import System.Random
import Data.Ix
suite :: TestTree
suite = testGroup "genome tests" $
[ mutationTests
]
mutationTests :: TestTree
mutationTests = testGroup "mutations" $
[ testCase "mutating the source of a gene" $
let
rand = mkStdGen 1 -- randomR generates sequence (1, 2, 0, ...)
genome = Genome { numInput = 2, numInternal = 1, numOutput = 5, genes = [] }
sourceGene = Gene { source = Input 0, sink = Output 1, weight = 4 }
mutatedGenes = fst $ foldl
(\(list, r) g ->
let (g', r') = mutateGeneSource genome g r
in (list ++ [g'], r')
)
([], rand)
(replicate 3 sourceGene)
in
mutatedGenes @?=
[ Gene { source = Input 1, sink = Output 1, weight = 4 }
, Gene { source = Internal 0, sink = Output 1, weight = 4 }
, Gene { source = Input 0, sink = Output 1, weight = 4 }
]
, testCase "mutating the sink of a gene" $
let
rand = mkStdGen 1 -- randomR generates sequence (1, 2, 0, ...)
genome = Genome { numInput = 2, numInternal = 1, numOutput = 2, genes = [] }
sourceGene = Gene { source = Input 0, sink = Output 1, weight = 4 }
mutatedGenes = fst $ foldl
(\(list, r) g ->
let (g', r') = mutateGeneSink genome g r
in (list ++ [g'], r')
)
([], rand)
(replicate 3 sourceGene)
in
mutatedGenes @?=
[ Gene { source = Input 0, sink = Output 0, weight = 4 }
, Gene { source = Input 0, sink = Output 1, weight = 4 }
, Gene { source = Input 0, sink = Internal 0, weight = 4 }
]
, testCase "mutating the weight of a gene" $
let
rand = mkStdGen 0 -- randomR generates sequence (7.572357,-1.4116564,-7.2413177, ...)
genome = Genome { numInput = 2, numInternal = 1, numOutput = 2, genes = [] }
sourceGene = Gene { source = Input 0, sink = Output 1, weight = 4 }
mutatedGenes = fst $ foldl
(\(list, r) g ->
let (g', r') = mutateGeneWeight genome g r
in (list ++ [g'], r')
)
([], rand)
(replicate 3 sourceGene)
expected =
[ Gene { source = Input 0, sink = Output 1, weight = 7.572357}
, Gene { source = Input 0, sink = Output 1, weight = -1.4116564 }
, Gene { source = Input 0, sink = Output 1, weight = -7.2413177 }
]
approxEqual a b = abs (a-b) < 0.0001
in do
(map source mutatedGenes) @?= (map source expected)
(map sink mutatedGenes) @?= (map sink expected)
True @?= foldl (&&) True (zipWith approxEqual
(map weight mutatedGenes)
(map weight expected)
)
, testCase "insert new internal neuron" $
let
genome = Genome
{ numInput = 1
, numInternal = 2
, numOutput = 1
, genes =
[ Gene { source = Input 0, sink = Internal 0, weight = 1.0 }
, Gene { source = Internal 0, sink = Internal 1, weight = 1.0 }
, Gene { source = Internal 1, sink = Output 0, weight = 1.0 }
]
}
r = mkStdGen 5
(genome', r') = mutateGenomeAddInternal genome r
in do
r' @?= r
(numInput genome') @?= (numInput genome)
(numInternal genome') @?= (1 + numInternal genome)
(numOutput genome') @?= (numOutput genome)
(genes genome') @?= (genes genome)
, testCase "remove internal neuron" $
let
r = mkStdGen 1 -- randomR (0, 2) produces (1, 2, 0, ...)
genome = Genome
{ numInput = 1
, numInternal = 3
, numOutput = 1
, genes =
[ Gene { source = Input 0, sink = Internal 0, weight = 1.0 }
, Gene { source = Internal 0, sink = Internal 1, weight = 1.0 }
, Gene { source = Internal 1, sink = Internal 2, weight = 1.0 }
, Gene { source = Internal 2, sink = Output 0, weight = 1.0 }
]
}
(genome', r') = mutateGenomeRemoveInternal genome r
(genome'', r'') = mutateGenomeRemoveInternal genome r'
(genome''', _) = mutateGenomeRemoveInternal genome r''
in do
(numInput genome') @?= (numInput genome)
(numInput genome'') @?= (numInput genome)
(numInput genome''') @?= (numInput genome)
(numInternal genome') @?= (numInternal genome - 1)
(numInternal genome'') @?= (numInternal genome - 1)
(numInternal genome''') @?= (numInternal genome - 1)
(numOutput genome') @?= (numOutput genome)
(numOutput genome'') @?= (numOutput genome)
(numOutput genome''') @?= (numOutput genome)
(genes genome') @?=
[ Gene { source = Input 0, sink = Internal 0, weight = 1.0 }
, Gene { source = Internal 0, sink = Internal 1, weight = 1.0 }
, Gene { source = Internal 0, sink = Internal 1, weight = 1.0 }
, Gene { source = Internal 1, sink = Output 0, weight = 1.0 }
]
(genes genome'') @?=
[ Gene { source = Input 0, sink = Internal 0, weight = 1.0 }
, Gene { source = Internal 0, sink = Internal 1, weight = 1.0 }
, Gene { source = Internal 1, sink = Output 0, weight = 1.0 }
, Gene { source = Internal 1, sink = Output 0, weight = 1.0 }
]
(genes genome''') @?=
[ Gene { source = Input 0, sink = Internal 0, weight = 1.0 }
, Gene { source = Input 0, sink = Internal 0, weight = 1.0 }
, Gene { source = Internal 0, sink = Internal 1, weight = 1.0 }
, Gene { source = Internal 1, sink = Output 0, weight = 1.0 }
]
, testCase "add new gene" $
let
genome = Genome
{ numInput = 1
, numInternal = 2
, numOutput = 1
, genes = []
}
r = mkStdGen 5
(genome', _) = mutateGenomeAddGene genome r
new = last $ genes genome'
-- checking sources
validSource (Input x) = inRange (0, numInput genome') x
validSource (Internal x) = inRange (0, numInternal genome') x
validSource (Output _) = False
-- checking sinks
validSink (Input _) = False
validSink (Internal x) = inRange(0, numInternal genome') x
validSink (Output x) = inRange(0, numOutput genome') x
w = weight new
in do
(numInput genome') @?= (numInput genome)
(numInternal genome') @?= (numInternal genome)
(numOutput genome') @?= (numOutput genome)
(length $ genes genome') @?= 1 + (length $ genes genome)
validSource (source new) @?= True
validSink (sink new) @?= True
(w >= -4) && (w <= 4) @?= True
, testCase "remove a gene" $
let
r = mkStdGen 1 -- randomR (0, 2) produces (1, 2, 0, ...)
genome = Genome
{ numInput = 1
, numInternal = 3
, numOutput = 1
, genes =
[ Gene { source = Input 0, sink = Internal 0, weight = 1.0 }
, Gene { source = Internal 0, sink = Internal 1, weight = 1.0 }
, Gene { source = Internal 2, sink = Output 0, weight = 1.0 }
]
}
(genome', r') = mutateGenomeRemoveGene genome r
(genome'', r'') = mutateGenomeRemoveGene genome r'
(genome''', _) = mutateGenomeRemoveGene genome r''
in do
genes genome' @?=
[ Gene { source = Input 0, sink = Internal 0, weight = 1.0 }
, Gene { source = Internal 2, sink = Output 0, weight = 1.0 }
]
genes genome'' @?=
[ Gene { source = Input 0, sink = Internal 0, weight = 1.0 }
, Gene { source = Internal 0, sink = Internal 1, weight = 1.0 }
]
genes genome''' @?=
[ Gene { source = Internal 0, sink = Internal 1, weight = 1.0 }
, Gene { source = Internal 2, sink = Output 0, weight = 1.0 }
]
, testCase "parse genome into network" $
let
genome = Genome
{ numInput = 1
, numInternal = 3
, numOutput = 1
, genes =
[ Gene { source = Input 0, sink = Internal 0, weight = 1.0 }
, Gene { source = Internal 0, sink = Internal 1, weight = 2.0 }
, Gene { source = Internal 1, sink = Internal 2, weight = 3.0 }
, Gene { source = Internal 2, sink = Output 0, weight = 4.0 }
]
}
network = parseGenome genome
expected = N.Network
{ N.numInput = 1
, N.internalNeurons =
[ [ Edge (Input 0, 1.0) ]
, [ Edge (Internal 0, 2.0) ]
, [ Edge (Internal 1, 3.0) ]
]
, N.outputNeurons =
[ [ Edge (Internal 2, 4.0) ]
]
}
in network @?= expected
]
|
