669 lines
33 KiB
Haskell
669 lines
33 KiB
Haskell
{-# LANGUAGE OverloadedStrings #-}
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{-# LANGUAGE FlexibleContexts #-}
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import Test.Hspec
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import GEval.Core
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import GEval.Common
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import GEval.OptionsParser
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import GEval.BLEU
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import GEval.ClippEU
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import GEval.PrecisionRecall
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import GEval.ClusteringMetrics
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import GEval.BIO
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import GEval.LineByLine
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import GEval.ParseParams
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import GEval.Submit
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import Text.Tokenizer
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import Text.WordShape
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import Data.Attoparsec.Text
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import Options.Applicative
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import Data.Text
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import Text.EditDistance
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import GEval.Annotation
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import GEval.BlackBoxDebugging
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import GEval.FeatureExtractor
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import GEval.Selector
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import Data.Map.Strict
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import Data.Conduit.List (consume)
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import System.Directory
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import System.Process
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import System.Exit
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import System.IO
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import System.IO.Temp
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import System.IO.Silently
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import Data.List (sort)
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import qualified Test.HUnit as HU
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import qualified Data.IntSet as IS
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import qualified Data.Vector as V
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import Data.Conduit.SmartSource
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import Data.Conduit.Rank
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import qualified Data.Conduit.Text as CT
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import Data.Conduit
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import Control.Monad.Trans.Resource
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import qualified Data.Conduit.List as CL
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import qualified Data.Conduit.Combinators as CC
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import Statistics.Distribution (cumulative)
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import Statistics.Distribution.Normal (normalDistr)
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import Data.Statistics.Kendall (kendall, kendallZ)
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import qualified Data.Vector.Unboxed as DVU
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import qualified Statistics.Matrix.Types as SMT
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import Data.Statistics.Loess (loess)
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import Data.Statistics.Calibration (calibration)
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informationRetrievalBookExample :: [(String, Int)]
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informationRetrievalBookExample = [("o", 2), ("o", 2), ("d", 2), ("x", 3), ("d", 3),
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("x", 1), ("o", 1), ("x", 1), ( "x", 1), ("x", 1), ("x", 1),
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("x", 2), ("o", 2), ("o", 2),
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("x", 3), ("d", 3), ("d", 3)]
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perfectClustering :: [(Int, Char)]
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perfectClustering = [(0, 'a'), (2, 'b'), (3, 'c'), (2, 'b'), (2, 'b'), (1, 'd'), (0, 'a')]
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stupidClusteringOneBigCluster :: [(Int, Int)]
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stupidClusteringOneBigCluster = [(0, 2), (2, 2), (1, 2), (2, 2), (0, 2), (0, 2), (0, 2), (0, 2), (1, 2), (1, 2)]
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stupidClusteringManySmallClusters :: [(Int, Int)]
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stupidClusteringManySmallClusters = [(0, 0), (2, 1), (1, 2), (2, 3), (0, 4), (0, 5), (0, 6), (0, 7), (1, 8), (1, 9)]
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main :: IO ()
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main = hspec $ do
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describe "root mean square error" $ do
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it "simple test" $ do
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[(_, (val:_))] <- geval $ defaultGEvalSpecification {gesExpectedDirectory=Just "test/rmse-simple/rmse-simple", gesOutDirectory="test/rmse-simple/rmse-simple-solution"}
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val `shouldBeAlmost` 0.64549722436790
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describe "mean square error" $ do
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it "simple test with arguments" $
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runGEvalTest "mse-simple" `shouldReturnAlmost` 0.4166666666666667
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describe "mean absolute error" $ do
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it "simple test with arguments" $
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runGEvalTest "mae-simple" `shouldReturnAlmost` 1.5
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describe "SMAPE" $ do
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it "simple test" $
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runGEvalTest "smape-simple" `shouldReturnAlmost` 45.1851851851852
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describe "Spearman's rank correlation coefficient" $ do
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it "simple test" $ do
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runGEvalTest "spearman-simple" `shouldReturnAlmost` (- 0.5735)
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describe "BLEU" $ do
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it "trivial example from Wikipedia" $
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runGEvalTest "bleu-trivial" `shouldReturnAlmost` 0.0
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it "complex example" $
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runGEvalTest "bleu-complex" `shouldReturnAlmost` 0.6211
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it "perfect translation" $
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runGEvalTest "bleu-perfect" `shouldReturnAlmost` 1.0000
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it "empty translation" $
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runGEvalTest "bleu-empty" `shouldReturnAlmost` 0.0000
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it "with tokenization" $
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runGEvalTest "bleu-with-tokenization" `shouldReturnAlmost` 0.6501914150070065
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describe "GLEU" $ do
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it "simple example" $
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runGEvalTest "gleu-simple" `shouldReturnAlmost` 0.462962962962963
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it "empty translation" $
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runGEvalTest "gleu-empty" `shouldReturnAlmost` 0.0
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it "perfect translation" $
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runGEvalTest "gleu-perfect" `shouldReturnAlmost` 1.0
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describe "WER" $ do
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it "simple example" $
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runGEvalTest "wer-simple" `shouldReturnAlmost` 0.5555555555
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describe "Accuracy" $ do
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it "simple example" $
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runGEvalTest "accuracy-simple" `shouldReturnAlmost` 0.6
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it "with probs" $
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runGEvalTest "accuracy-probs" `shouldReturnAlmost` 0.4
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describe "F-measure" $ do
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it "simple example" $
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runGEvalTest "f-measure-simple" `shouldReturnAlmost` 0.57142857
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it "perfect classifier" $
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runGEvalTest "f-measure-perfect" `shouldReturnAlmost` 1.0
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it "stupid classifier" $
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runGEvalTest "f-measure-stupid" `shouldReturnAlmost` 0.0
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it "all false" $
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runGEvalTest "f-measure-all-false" `shouldReturnAlmost` 1.0
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it "F2-measure" $
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runGEvalTest "f2-simple" `shouldReturnAlmost` 0.714285714
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describe "Macro-F-measure" $ do
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it "simple example" $
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runGEvalTest "macro-f1-simple" `shouldReturnAlmost` 0.266666
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it "perfect soltion" $
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runGEvalTest "macro-f-measure-perfect" `shouldReturnAlmost` 1.00000
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describe "TokenAccuracy" $ do
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it "simple example" $ do
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runGEvalTest "token-accuracy-simple" `shouldReturnAlmost` 0.5
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describe "precision count" $ do
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it "simple test" $ do
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precisionCount [["Alice", "has", "a", "cat" ]] ["Ala", "has", "cat"] `shouldBe` 2
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it "none found" $ do
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precisionCount [["Alice", "has", "a", "cat" ]] ["for", "bar", "baz"] `shouldBe` 0
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it "multiple values" $ do
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precisionCount [["bar", "bar", "bar", "bar", "foo", "xyz", "foo"]] ["foo", "bar", "foo", "baz", "bar", "foo"] `shouldBe` 4
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it "multiple refs" $ do
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precisionCount [["foo", "baz"], ["bar"], ["baz", "xyz"]] ["foo", "bar", "foo"] `shouldBe` 2
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describe "purity (in flat clustering)" $ do
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it "the example from Information Retrieval Book" $ do
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purity informationRetrievalBookExample `shouldBeAlmost` 0.70588
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describe "NMI (in flat clustering)" $ do
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it "the example from Information Retrieval Book" $ do
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normalizedMutualInformation informationRetrievalBookExample `shouldBeAlmost` 0.36456
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it "perfect clustering" $ do
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normalizedMutualInformation perfectClustering `shouldBeAlmost` 1.0
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it "stupid clustering with one big cluster" $ do
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normalizedMutualInformation stupidClusteringOneBigCluster `shouldBeAlmost` 0.0
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it "stupid clustering with many small clusters" $ do
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normalizedMutualInformation stupidClusteringManySmallClusters `shouldBeAlmost` 0.61799
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describe "NMI challenge" $ do
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it "complex test" $ do
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runGEvalTest "nmi-complex" `shouldReturnAlmost` 0.36456
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describe "LogLossHashed challenge" $ do
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it "simple example" $ do
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runGEvalTest "log-loss-hashed-simple" `shouldReturnAlmost` 2.398479083333333
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it "example with unnormalized values" $ do
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runGEvalTest "log-loss-hashed-not-normalized" `shouldReturnAlmost` 1.0468455186722887
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it "with probs instead of log probs" $ do
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runGEvalTest "log-loss-hashed-probs" `shouldReturnAlmost` 4.11631293099392
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it "with probs instead of log probs (with normalization)" $ do
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runGEvalTest "log-loss-hashed-probs-normalized" `shouldReturnAlmost` 1.55537749098853
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it "with log probs whose probs are summing up to less than 1.0" $ do
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runGEvalTest "log-loss-hashed-normalization" `shouldReturnAlmost` 5.16395069238851
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describe "LikelihoodHashed challenge" $ do
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it "example with unnormalized values" $ do
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runGEvalTest "likelihood-hashed-not-normalized" `shouldReturnAlmost` 0.351043364110715
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describe "reading options" $ do
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it "can get the metric" $ do
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extractMetric "bleu-complex" `shouldReturn` (Just BLEU)
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describe "error handling" $ do
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it "too few lines are handled" $ do
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runGEvalTest "error-too-few-lines" `shouldThrow` (== TooFewLines)
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it "too many lines are handled" $ do
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runGEvalTest "error-too-many-lines" `shouldThrow` (== TooManyLines)
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it "empty output is handled" $ do
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runGEvalTest "empty-output" `shouldThrow` (== EmptyOutput)
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it "unexpected data is handled" $
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runGEvalTest "unexpected-data" `shouldThrow` (== UnexpectedData 3 "input does not start with a digit")
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it "unwanted data is handled" $
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runGEvalTest "unwanted-data" `shouldThrow` (== UnexpectedData 2 "number expected")
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describe "precision and recall" $ do
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it "null test" $ do
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precision neverMatch ['a', 'b', 'c'] [0, 1, 2, 3, 4, 5] `shouldBeAlmost` 0.0
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recall neverMatch ['a', 'b', 'c'] [0, 1, 2, 3, 4, 5] `shouldBeAlmost` 0.0
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f1Measure neverMatch ['a', 'b', 'c'] [0, 1, 2, 3, 4, 5] `shouldBeAlmost` 0.0
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it "basic test" $ do
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precision testMatchFun ['a', 'b', 'c'] [0, 1, 2, 3, 4, 5] `shouldBeAlmost` 0.3333333333333333
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recall testMatchFun ['a', 'b', 'c'] [0, 1, 2, 3, 4, 5] `shouldBeAlmost` 0.66666666666666666
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f1Measure testMatchFun ['a', 'b', 'c'] [0, 1, 2, 3, 4, 5] `shouldBeAlmost` 0.444444444444444
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it "perfect result" $ do
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precision alwaysMatch ['a', 'b', 'c'] [0, 1, 2] `shouldBeAlmost` 1.0
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recall alwaysMatch ['a', 'b', 'c'] [0, 1, 2] `shouldBeAlmost` 1.0
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f1Measure alwaysMatch ['a', 'b', 'c'] [0, 1, 2] `shouldBeAlmost` 1.0
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it "full match" $ do
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precision alwaysMatch ['a', 'b', 'c'] [0, 1, 2, 3, 4, 5] `shouldBeAlmost` 0.5
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recall alwaysMatch ['a', 'b', 'c'] [0, 1, 2, 3, 4, 5] `shouldBeAlmost` 1.0
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f1Measure alwaysMatch ['a', 'b', 'c'] [0, 1, 2, 3 , 4, 5] `shouldBeAlmost` 0.66666666666666
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describe "max match" $ do
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it "simple" $ do
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maxMatch (==) [1,2,2] [3,2] `shouldBe` 1
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maxMatch (==) [3,2] [1,2,2] `shouldBe` 1
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describe "ClippEU" $ do
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it "parsing rectangles" $ do
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let (Right r) = parseOnly (lineClippingsParser <* endOfInput) "2/0,0,2,3 10/20,30,40,50 18/0,1,500,3 "
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r `shouldBe` [Clipping (PageNumber 2) (Rectangle (Point 0 0) (Point 2 3)),
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Clipping (PageNumber 10) (Rectangle (Point 20 30) (Point 40 50)),
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Clipping (PageNumber 18) (Rectangle (Point 0 1) (Point 500 3))]
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it "no rectangles" $ do
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let (Right r) = parseOnly (lineClippingsParser <* endOfInput) ""
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r `shouldBe` []
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it "just spaces" $ do
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let (Right r) = parseOnly lineClippingsParser " "
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r `shouldBe` []
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it "parsing specs" $ do
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let (Right r) = parseOnly lineClippingSpecsParser " 2/0,0,2,3/5 10/20,30,40,50/10"
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r `shouldBe` [ClippingSpec (PageNumber 2) (Rectangle (Point 5 5) (Point 0 0))
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(Rectangle (Point 0 0) (Point 7 8)),
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ClippingSpec (PageNumber 10) (Rectangle (Point 30 40) (Point 30 40))
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(Rectangle (Point 10 20) (Point 50 60))]
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it "full test" $ do
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runGEvalTest "clippeu-simple" `shouldReturnAlmost` 0.399999999999
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describe "evaluation metric specification is parsed" $ do
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it "for simple names" $ do
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let metrics = [RMSE, MSE, BLEU, Accuracy, ClippEU]
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let parsedMetrics = Prelude.map (read . show) metrics
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metrics `shouldBe` parsedMetrics
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it "for F-Measure" $ do
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read "F2" `shouldBe` (FMeasure 2.0)
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read "F1" `shouldBe` (FMeasure 1.0)
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read "F0.5" `shouldBe` (FMeasure 0.5)
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describe "Soft-F1" $ do
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it "simple test" $ do
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runGEvalTest "soft-f1-simple" `shouldReturnAlmost` 0.33333333333333
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it "perfect test" $ do
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runGEvalTest "soft-f1-perfect" `shouldReturnAlmost` 1.0
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describe "test edit-distance library" $ do
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it "for handling UTF8" $ do
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levenshteinDistance defaultEditCosts "źdźbło" "źd好bło" `shouldBe` 1
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levenshteinDistance defaultEditCosts "źdźbło" "źdźcło" `shouldBe` 1
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describe "CharMatch" $ do
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it "simple test" $ do
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runGEvalTest "charmatch-simple" `shouldReturnAlmost` 0.3571428571428571
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it "perfect solution" $ do
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runGEvalTest "charmatch-perfect" `shouldReturnAlmost` 1.0
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it "more complex test" $ do
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runGEvalTest "charmatch-complex" `shouldReturnAlmost` 0.1923076923076923
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it "broken test without input" $ do
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runGEvalTest "charmatch-no-input" `shouldThrow` (== NoInputFile "test/charmatch-no-input/charmatch-no-input/test-A/in.tsv")
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describe "MAP" $ do
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it "one result" $ do
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(calculateMAPForOneResult ["Berlin", "London", "Warsaw"]
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["Warsaw", "Moscow", "Berlin", "Prague"]) `shouldBeAlmost` 0.55555555
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it "check whether you cannot cheat with duplicated results" $ do
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(calculateMAPForOneResult ["one", "two"]
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["one", "one"]) `shouldBeAlmost` 0.5
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it "simple test" $ do
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runGEvalTest "map-simple" `shouldReturnAlmost` 0.444444444
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describe "LogLoss" $ do
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it "simple" $ do
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runGEvalTest "logloss-simple" `shouldReturnAlmost` 0.31824
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it "perfect" $ do
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runGEvalTest "logloss-perfect" `shouldReturnAlmost` 0.0
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describe "Likelihood" $ do
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it "simple" $ do
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runGEvalTest "likelihood-simple" `shouldReturnAlmost` 0.72742818469866
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describe "MultiLabel-F" $ do
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it "simple" $ do
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runGEvalTest "multilabel-f1-simple" `shouldReturnAlmost` 0.66666666666
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it "simple F2" $ do
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runGEvalTest "multilabel-f2-simple" `shouldReturnAlmost` 0.441176470588235
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it "labels given with probs" $ do
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runGEvalTest "multilabel-f1-with-probs" `shouldReturnAlmost` 0.615384615384615
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it "labels given with probs and numbers" $ do
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runGEvalTest "multilabel-f1-with-probs-and-numbers" `shouldReturnAlmost` 0.6666666666666
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describe "MultiLabel-Likelihood" $ do
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it "simple" $ do
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runGEvalTest "multilabel-likelihood-simple" `shouldReturnAlmost` 0.115829218528827
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describe "evaluating single lines" $ do
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it "RMSE" $ do
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gevalCoreOnSingleLines RMSE id RawItemTarget
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(LineInFile (FilePathSpec "stub1") 1 "blabla")
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RawItemTarget
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(LineInFile (FilePathSpec "stub2") 1 "3.4")
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RawItemTarget
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(LineInFile (FilePathSpec "stub3") 1 "2.6") `shouldReturnAlmost` 0.8
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describe "Annotation format" $ do
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it "just parse" $ do
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parseAnnotations "foo:3,7-10 baz:4-6" `shouldBe` Right [Annotation "foo" (IS.fromList [3,7,8,9,10]),
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Annotation "baz" (IS.fromList [4,5,6])]
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it "empty" $ do
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parseAnnotations "" `shouldBe` Right []
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it "empty (just spaces)" $ do
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parseAnnotations " " `shouldBe` Right []
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it "match score" $ do
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matchScore (Annotation "x" (IS.fromList [3..6])) (Annotation "y" (IS.fromList [3..6])) `shouldBeAlmost` 0.0
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matchScore (Annotation "x" (IS.fromList [3..6])) (Annotation "x" (IS.fromList [3..6])) `shouldBeAlmost` 1.0
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matchScore (Annotation "x" (IS.fromList [123..140])) (Annotation "x" (IS.fromList [125..130])) `shouldBeAlmost` 0.33333
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matchScore (Annotation "x" (IS.fromList [3..4])) (Annotation "x" (IS.fromList [2..13])) `shouldBeAlmost` 0.1666666
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describe "BIO format" $ do
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it "just parse" $ do
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let (Right r) = parseOnly (bioSequenceParser <* endOfInput) "O B-city/NEW_YORK I-city B-city/KALISZ I-city O B-name"
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r `shouldBe` [Outside,
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Beginning "city" (Just "NEW_YORK"),
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Inside "city" Nothing,
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Beginning "city" (Just "KALISZ"),
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Inside "city" Nothing,
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Outside,
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Beginning "name" Nothing]
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it "simplest entity" $ do
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let (Right ents) = parseBioSequenceIntoEntities "B-city"
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ents `shouldBe` [TaggedEntity (TaggedSpan 1 1) "city" Nothing]
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it "multi-word entity" $ do
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let (Right ents) = parseBioSequenceIntoEntities "B-date I-date"
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ents `shouldBe` [TaggedEntity (TaggedSpan 1 2) "date" Nothing]
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it "multi-word entity with normalized text" $ do
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let (Right ents) = parseBioSequenceIntoEntities "B-date/FOO I-date/BAR"
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ents `shouldBe` [TaggedEntity (TaggedSpan 1 2) "date" (Just "FOO_BAR")]
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it "simplest entity with something outside" $ do
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let (Right ents) = parseBioSequenceIntoEntities "O B-city"
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ents `shouldBe` [TaggedEntity (TaggedSpan 2 2) "city" Nothing]
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it "another simple case" $ do
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let (Right ents) = parseBioSequenceIntoEntities "B-city B-city"
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ents `shouldBe` [TaggedEntity (TaggedSpan 1 1) "city" Nothing,
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TaggedEntity (TaggedSpan 2 2) "city" Nothing]
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it "just parse into entities" $ do
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let (Right ents) = parseBioSequenceIntoEntities "O O B-city/LOS_ANGELES I-city B-city/KLUCZBORK O B-name O B-person/JOHN I-person/VON I-person/NEUMANN"
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ents `shouldBe` [TaggedEntity (TaggedSpan 3 4) "city" (Just "LOS_ANGELES"),
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TaggedEntity (TaggedSpan 5 5) "city" (Just "KLUCZBORK"),
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TaggedEntity (TaggedSpan 7 7) "name" (Nothing),
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TaggedEntity (TaggedSpan 9 11) "person" (Just "JOHN_VON_NEUMANN")]
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it "another entity parse" $ do
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let (Right ents) = parseBioSequenceIntoEntities "B-month/JULY B-month/JULY O O B-foo/bar"
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ents `shouldBe` [TaggedEntity (TaggedSpan 1 1) "month" (Just "JULY"),
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TaggedEntity (TaggedSpan 2 2) "month" (Just "JULY"),
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TaggedEntity (TaggedSpan 5 5) "foo" (Just "bar")]
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it "another entity parse" $ do
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let (Right ents) = parseBioSequenceIntoEntities "B-city/LOS I-city/ANGELES O B-city/NEW I-city/YORK"
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ents `shouldBe` [TaggedEntity (TaggedSpan 1 2) "city" (Just "LOS_ANGELES"),
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TaggedEntity (TaggedSpan 4 5) "city" (Just "NEW_YORK")]
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it "parse entity" $ do
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let (Right ents) = parseBioSequenceIntoEntities "B-surname/BROWN B-surname/SMITH"
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ents `shouldBe` [TaggedEntity (TaggedSpan 1 1) "surname" (Just "BROWN"),
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TaggedEntity (TaggedSpan 2 2) "surname" (Just "SMITH")]
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it "parse entity" $ do
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let (Right ents) = parseBioSequenceIntoEntities "O B-surname/SMITH"
|
|
ents `shouldBe` [TaggedEntity (TaggedSpan 2 2) "surname" (Just "SMITH")]
|
|
it "check counting" $ do
|
|
gatherCountsForBIO [TaggedEntity (TaggedSpan 2 2) "surname" (Just "SMITH")] [TaggedEntity (TaggedSpan 1 1) "surname" (Just "BROWN"),
|
|
TaggedEntity (TaggedSpan 2 2) "surname" (Just "SMITH")] `shouldBe` (1, 1, 2)
|
|
it "check F1 on a more complicated example" $ do
|
|
runGEvalTest "bio-f1-complex" `shouldReturnAlmost` 0.625
|
|
it "check F1 on labels only" $ do
|
|
runGEvalTest "bio-f1-complex-labels" `shouldReturnAlmost` 0.6666666666
|
|
it "calculate F1" $ do
|
|
runGEvalTest "bio-f1-simple" `shouldReturnAlmost` 0.5
|
|
it "calculate F1 with underscores rather than minus signs" $ do
|
|
runGEvalTest "bio-f1-simple-underscores" `shouldReturnAlmost` 0.5
|
|
it "check perfect score" $ do
|
|
runGEvalTest "bio-f1-perfect" `shouldReturnAlmost` 1.0
|
|
it "check inconsistent input" $ do
|
|
runGEvalTest "bio-f1-error" `shouldThrow` (== UnexpectedData 2 "inconsistent label sequence `B-NAME/JOHN I-FOO/SMITH I-FOO/X`")
|
|
describe "automatic decompression" $ do
|
|
it "more complex test" $ do
|
|
runGEvalTest "charmatch-complex-compressed" `shouldReturnAlmost` 0.1923076923076923
|
|
describe "handling jsonl format" $ do
|
|
it "simple test" $
|
|
runGEvalTestExtraOptions ["-e", "expected.jsonl" ] "jsonl-simple" `shouldReturnAlmost` 0.571428571428
|
|
describe "line by line mode" $ do
|
|
let sampleChallenge =
|
|
GEvalSpecification
|
|
{ gesOutDirectory = "test/likelihood-simple/likelihood-simple-solution",
|
|
gesExpectedDirectory = Just "test/likelihood-simple/likelihood-simple",
|
|
gesTestName = "test-A",
|
|
gesSelector = Nothing,
|
|
gesOutFile = "out.tsv",
|
|
gesExpectedFile = "expected.tsv",
|
|
gesInputFile = "in.tsv",
|
|
gesMetrics = [Likelihood],
|
|
gesPrecision = Nothing,
|
|
gesTokenizer = Nothing,
|
|
gesGonitoHost = Nothing,
|
|
gesToken = Nothing,
|
|
gesGonitoGitAnnexRemote = Nothing}
|
|
it "simple test" $ do
|
|
results <- runLineByLineGeneralized KeepTheOriginalOrder sampleChallenge Data.Conduit.List.consume
|
|
Prelude.map (\(LineRecord inp _ _ _ _) -> inp) results `shouldBe` ["foo",
|
|
"bar",
|
|
"baz",
|
|
"baq"]
|
|
it "test sorting" $ do
|
|
results <- runLineByLineGeneralized FirstTheWorst sampleChallenge Data.Conduit.List.consume
|
|
Prelude.head (Prelude.map (\(LineRecord inp _ _ _ _) -> inp) results) `shouldBe` "baq"
|
|
describe "handle --alt-metric option" $ do
|
|
it "accuracy instead of likelihood" $ do
|
|
runGEvalTestExtraOptions ["--alt-metric", "Accuracy"] "likelihood-simple" `shouldReturnAlmost` 0.75
|
|
it "accuracy instead of log loss" $ do
|
|
runGEvalTestExtraOptions ["--alt-metric", "Accuracy"] "log-loss-hashed-probs" `shouldReturnAlmost` 0.4
|
|
describe "smart sources" $ do
|
|
it "smart specs are obtained" $ do
|
|
getSmartSourceSpec "foo" "" "" `shouldReturn` Left NoSpecGiven
|
|
getSmartSourceSpec "foo" "out.tsv" "-" `shouldReturn` Right Stdin
|
|
getSmartSourceSpec "foo" "out.sv" "http://gonito.net/foo" `shouldReturn` (Right $ Http "http://gonito.net/foo")
|
|
getSmartSourceSpec "foo" "in.tsv" "https://gonito.net" `shouldReturn` (Right $ Https "https://gonito.net")
|
|
it "sources are accessed" $ do
|
|
readFromSmartSource "baz" "out.tsv" "test/files/foo.txt" `shouldReturn` ["foo\n"]
|
|
readFromSmartSource "" "" "https://httpbin.org/robots.txt" `shouldReturn`
|
|
["User-agent: *\nDisallow: /deny\n"]
|
|
describe "parse model params from filenames" $ do
|
|
it "no params 1" $ do
|
|
parseParamsFromFilePath "out.tsv" `shouldBe` OutputFileParsed "out" Data.Map.Strict.empty
|
|
it "no params 2" $ do
|
|
parseParamsFromFilePath "out.tsv.xz" `shouldBe` OutputFileParsed "out" Data.Map.Strict.empty
|
|
it "no params 3" $ do
|
|
parseParamsFromFilePath "out-test-foo_bar.tsv" `shouldBe` OutputFileParsed "out-test-foo_bar" Data.Map.Strict.empty
|
|
it "one parameter" $ do
|
|
parseParamsFromFilePath "out-nb_epochs=123.tsv" `shouldBe`
|
|
OutputFileParsed "out" (Data.Map.Strict.fromList [("nb_epochs", "123")])
|
|
it "complex" $ do
|
|
parseParamsFromFilePath "out-nb_epochs = 12,foo=off, bar-baz =10.tsv" `shouldBe`
|
|
OutputFileParsed "out" (Data.Map.Strict.fromList [("nb_epochs", "12"),
|
|
("foo", "off"),
|
|
("bar-baz", "10")])
|
|
it "empty val" $ do
|
|
parseParamsFromFilePath "out-nb_epochs=1,foo=,bar-baz=8.tsv" `shouldBe`
|
|
OutputFileParsed "out" (Data.Map.Strict.fromList [("nb_epochs", "1"),
|
|
("foo", ""),
|
|
("bar-baz", "8")])
|
|
describe "ranking" $ do
|
|
it "simple case" $ do
|
|
checkConduitPure (rank (\(a,_) (b,_) -> a < b)) [(3.0::Double, "foo"::String),
|
|
(10.0, "bar"),
|
|
(12.0, "baz")]
|
|
[(1.0, (3.0::Double, "foo"::String)),
|
|
(2.0, (10.0, "bar")),
|
|
(3.0, (12.0, "baz"))]
|
|
it "one item" $ do
|
|
checkConduitPure (rank (\(a,_) (b,_) -> a < b)) [(5.0::Double, "foo"::String)]
|
|
[(1.0, (5.0::Double, "foo"::String))]
|
|
it "take between" $ do
|
|
checkConduitPure (rank (<)) [3.0::Double, 5.0, 5.0, 10.0]
|
|
[(1.0::Double, 3.0),
|
|
(2.5, 5.0),
|
|
(2.5, 5.0),
|
|
(4.0, 10.0)]
|
|
it "two sequences" $ do
|
|
checkConduitPure (rank (<)) [4.5::Double, 4.5, 4.5, 6.1, 6.1]
|
|
[(2.0::Double, 4.4),
|
|
(2.0, 4.5),
|
|
(2.0, 4.5),
|
|
(4.5, 6.1),
|
|
(4.5, 6.1)]
|
|
it "series at the beginning" $ do
|
|
checkConduitPure (rank (<)) [10.0::Double, 10.0, 13.0, 14.0]
|
|
[(1.5::Double, 10.0),
|
|
(1.5, 10.0),
|
|
(3.0, 13.0),
|
|
(4.0, 14.0)]
|
|
it "inverted" $ do
|
|
checkConduitPure (rank (>)) [3.0::Double, 3.0, 2.0, 1.0]
|
|
[(1.5::Double, 3.0),
|
|
(1.5, 3.0),
|
|
(3.0, 2.0),
|
|
(4.0, 1.0)]
|
|
describe "tokenizer" $ do
|
|
it "simple utterance with '13a' tokenizer" $ do
|
|
tokenize (Just V13a) "To be or not to be, that's the question." `shouldBe`
|
|
["To", "be", "or", "not", "to", "be",
|
|
",", "that's", "the", "question", "."]
|
|
it "simple utterance with 'character-by-character' tokenizer" $ do
|
|
tokenize (Just CharacterByCharacter) "To be or not to be." `shouldBe`
|
|
["T", "o", "_", "b", "e", "_", "o", "r", "_", "n", "o", "t", "_", "t", "o", "_", "b", "e", "."]
|
|
describe "shapify" $ do
|
|
it "simple tests" $ do
|
|
shapify "Poznań" `shouldBe` (WordShape "Aa+")
|
|
shapify "2019" `shouldBe` (WordShape "9999")
|
|
shapify "Ala ma (czarnego) kota?" `shouldBe` (WordShape "Aa+ a+ (a+( a+.")
|
|
shapify "" `shouldBe` (WordShape "")
|
|
shapify "PCMCIA" `shouldBe` (WordShape "A+")
|
|
shapify "a" `shouldBe` (WordShape "a")
|
|
shapify "B5" `shouldBe` (WordShape "A9")
|
|
describe "submit" $ do
|
|
it "current branch" $ do
|
|
runGitTest "branch-test" (\_ -> getCurrentBranch) `shouldReturn` "develop"
|
|
it "challengeId" $ do
|
|
runGitTest "challengeId-test" (
|
|
\_ -> do
|
|
path <- makeAbsolute "challenge01"
|
|
setCurrentDirectory path
|
|
getChallengeId) `shouldReturn` "challenge01"
|
|
it "everything committed - positive" $ do
|
|
runGitTest "everythingCommitted-test-pos" (\_ -> checkEverythingCommitted) `shouldReturn` ()
|
|
it "everything committed - negative" $ do
|
|
hSilence [stderr] $ runGitTest "everythingCommitted-test-neg" (\_ -> checkEverythingCommitted) `shouldThrow` (== ExitFailure 1)
|
|
it "remote synced - positive" $ do
|
|
runGitTest "remoteSynced-test-pos" (\_ -> checkRemoteSynced) `shouldReturn` ()
|
|
it "remote synced - negative" $ do
|
|
hSilence [stderr] $ runGitTest "remoteSynced-test-neg" (\_ -> checkRemoteSynced) `shouldThrow` (== ExitFailure 1)
|
|
it "remote url" $ do
|
|
runGitTest "remoteUrl-test" (\_ -> getRemoteUrl "origin") `shouldReturn` "git@git.example.com:example/example.git"
|
|
it "repo root" $ do
|
|
runGitTest "repoRoot-test" (
|
|
\path -> do
|
|
subpath <- makeAbsolute "A/B"
|
|
setCurrentDirectory subpath
|
|
root <- getRepoRoot
|
|
return $ root == path
|
|
) `shouldReturn` True
|
|
it "no token" $ do
|
|
runGitTest "token-test-no" (\_ -> readToken) `shouldReturn` Nothing
|
|
it "read token" $ do
|
|
runGitTest "token-test-yes" (\_ -> readToken) `shouldReturn` (Just "AAAA")
|
|
it "write-read token" $ do
|
|
runGitTest "token-test-no" (
|
|
\_ -> do
|
|
writeToken "BBBB"
|
|
token <- readToken
|
|
return $ token == (Just "BBBB")
|
|
) `shouldReturn` True
|
|
describe "extracting features" $ do
|
|
it "extract factors" $ do
|
|
let bbdo = BlackBoxDebuggingOptions {
|
|
bbdoMinFrequency = 1,
|
|
bbdoWordShapes = False,
|
|
bbdoBigrams = True,
|
|
bbdoCartesian = False,
|
|
bbdoMinCartesianFrequency = Nothing,
|
|
bbdoConsiderNumericalFeatures = True }
|
|
(sort $ extractFactorsFromTabbed Nothing bbdo "in" "I like this\t34.3\ttests") `shouldBe` [
|
|
PeggedFactor (FeatureTabbedNamespace "in" 1)
|
|
(SimpleExistentialFactor (SimpleAtomicFactor (TextFactor "I"))),
|
|
PeggedFactor (FeatureTabbedNamespace "in" 1)
|
|
(SimpleExistentialFactor (SimpleAtomicFactor (TextFactor "like"))),
|
|
PeggedFactor (FeatureTabbedNamespace "in" 1)
|
|
(SimpleExistentialFactor (SimpleAtomicFactor (TextFactor "this"))),
|
|
PeggedFactor (FeatureTabbedNamespace "in" 1)
|
|
(SimpleExistentialFactor (BigramFactor (TextFactor "I") (TextFactor "like"))),
|
|
PeggedFactor (FeatureTabbedNamespace "in" 1)
|
|
(SimpleExistentialFactor (BigramFactor (TextFactor "like") (TextFactor "this"))),
|
|
PeggedFactor (FeatureTabbedNamespace "in" 1)
|
|
(NumericalFactor Nothing 11),
|
|
PeggedFactor (FeatureTabbedNamespace "in" 2)
|
|
(SimpleExistentialFactor (SimpleAtomicFactor (TextFactor "34.3"))),
|
|
PeggedFactor (FeatureTabbedNamespace "in" 2)
|
|
(NumericalFactor (Just 34.3) 4),
|
|
PeggedFactor (FeatureTabbedNamespace "in" 3)
|
|
(SimpleExistentialFactor (SimpleAtomicFactor (TextFactor "tests"))),
|
|
PeggedFactor (FeatureTabbedNamespace "in" 3)
|
|
(NumericalFactor Nothing 5) ]
|
|
describe "Kendall's tau" $ do
|
|
it "tau" $ do
|
|
kendall (V.fromList $ Prelude.zip [12, 2, 1, 12, 2] [1, 4, 7, 1, 0]) `shouldBeAlmost` (-0.47140452079103173)
|
|
it "z" $ do
|
|
kendallZ (V.fromList $ Prelude.zip [12, 2, 1, 12, 2] [1, 4, 7, 1, 0]) `shouldBeAlmost` (-1.0742)
|
|
it "p-value" $ do
|
|
(2 * (cumulative (normalDistr 0.0 1.0) $ kendallZ (V.fromList $ Prelude.zip [12, 2, 1, 12, 2] [1, 4, 7, 1, 0]))) `shouldBeAlmost` 0.2827
|
|
describe "Loess" $ do
|
|
it "simple" $ do
|
|
loess (DVU.fromList [0.2, 0.6, 1.0])
|
|
(DVU.fromList [-0.6, 0.2, 1.0])
|
|
0.4 `shouldBeAlmost` (-0.2)
|
|
describe "Calibration" $ do
|
|
it "empty list" $ do
|
|
calibration [] [] `shouldBeAlmost` 1.0
|
|
it "one element" $ do
|
|
calibration [True] [1.0] `shouldBeAlmost` 1.0
|
|
calibration [False] [0.0] `shouldBeAlmost` 1.0
|
|
calibration [True] [0.0] `shouldBeAlmost` 0.0
|
|
calibration [False] [1.0] `shouldBeAlmost` 0.0
|
|
calibration [True] [0.7] `shouldBeAlmost` 0.7
|
|
calibration [True] [0.3] `shouldBeAlmost` 0.3
|
|
calibration [False] [0.7] `shouldBeAlmost` 0.3
|
|
calibration [False] [0.3] `shouldBeAlmost` 0.7
|
|
it "perfect calibration" $ do
|
|
calibration [True, True, False] [0.5, 1.0, 0.5] `shouldBeAlmost` 1.0
|
|
it "totally wrong" $ do
|
|
calibration [True, False] [0.0, 1.0] `shouldBeAlmost` 0.0
|
|
calibration [True, False, False, True, False] [0.0, 1.0, 1.0, 0.5, 0.5] `shouldBeAlmost` 0.0
|
|
calibration [False, True, True, True, True, False, False, True, False] [0.25, 0.25, 0.0, 0.25, 0.25, 1.0, 1.0, 0.5, 0.5] `shouldBeAlmost` 0.0
|
|
|
|
checkConduitPure conduit inList expList = do
|
|
let outList = runConduitPure $ CC.yieldMany inList .| conduit .| CC.sinkList
|
|
mapM_ (\(o,e) -> (fst o) `shouldBeAlmost` (fst e)) $ Prelude.zip outList expList
|
|
|
|
readFromSmartSource :: FilePath -> FilePath -> String -> IO [String]
|
|
readFromSmartSource defaultDir defaultFile specS = do
|
|
(Right spec) <- getSmartSourceSpec defaultDir defaultFile specS
|
|
let source = smartSource spec
|
|
contents <- runResourceT $ runConduit (source .| CT.decodeUtf8Lenient .| CL.consume)
|
|
return $ Prelude.map unpack contents
|
|
|
|
neverMatch :: Char -> Int -> Bool
|
|
neverMatch _ _ = False
|
|
|
|
alwaysMatch :: Char -> Int -> Bool
|
|
alwaysMatch _ _ = True
|
|
|
|
testMatchFun :: Char -> Int -> Bool
|
|
testMatchFun 'a' 1 = True
|
|
testMatchFun 'a' 2 = True
|
|
testMatchFun 'a' 3 = True
|
|
testMatchFun 'b' 1 = True
|
|
testMatchFun 'c' 1 = True
|
|
testMatchFun _ _ = False
|
|
|
|
extractVal :: (Either (ParserResult GEvalOptions) (Maybe [(SourceSpec, [MetricValue])])) -> IO MetricValue
|
|
extractVal (Right (Just ([(_, val:_)]))) = return val
|
|
extractVal (Right Nothing) = return $ error "no metrics???"
|
|
extractVal (Right (Just [])) = return $ error "emtpy metric list???"
|
|
extractVal (Left result) = do
|
|
handleParseResult result
|
|
return $ error "something wrong"
|
|
|
|
runGEvalTest = runGEvalTestExtraOptions []
|
|
|
|
runGEvalTestExtraOptions extraOptions testName = (runGEval ([
|
|
"--expected-directory",
|
|
"test/" ++ testName ++ "/" ++ testName,
|
|
"--out-directory",
|
|
"test/" ++ testName ++ "/" ++ testName ++ "-solution"] ++ extraOptions)) >>= extractVal
|
|
|
|
extractMetric :: String -> IO (Maybe Metric)
|
|
extractMetric testName = do
|
|
result <- getOptions ["--expected-directory", "test/" ++ testName ++ "/" ++ testName]
|
|
return $ case result of
|
|
Left _ -> Nothing
|
|
Right opts -> Just $ gesMainMetric $ geoSpec opts
|
|
|
|
class AEq a where
|
|
(=~) :: a -> a -> Bool
|
|
|
|
instance AEq Double where
|
|
x =~ y = abs ( x - y ) < (1.0e-4 :: Double)
|
|
|
|
(@=~?) :: (Show a, AEq a) => a -> a -> HU.Assertion
|
|
(@=~?) actual expected = expected =~ actual HU.@? assertionMsg
|
|
where
|
|
assertionMsg = "Expected : " ++ show expected ++
|
|
"\nActual : " ++ show actual
|
|
|
|
shouldBeAlmost got expected = got @=~? expected
|
|
|
|
shouldReturnAlmost :: (AEq a, Show a, Eq a) => IO a -> a -> Expectation
|
|
shouldReturnAlmost action expected = action >>= (@=~? expected)
|
|
|
|
runGitTest :: String -> (FilePath -> IO a) -> IO a
|
|
runGitTest name callback = do
|
|
withSystemTempDirectory "geval-submit-test" $ \temp -> do
|
|
copyFile ("test/_submit-tests/" ++ name ++ ".tar") (temp ++ "/" ++ name ++ ".tar")
|
|
withCurrentDirectory temp $ do
|
|
callCommand $ "tar xf " ++ name ++ ".tar"
|
|
let testRoot = temp ++ "/" ++ name
|
|
withCurrentDirectory testRoot $ do
|
|
callback testRoot
|