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stat: unexport Panics testing helper

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A+C: add Daniel Fireman
This commit is contained in:
Daniel Fireman
2017-10-10 00:34:33 -03:00
committed by Dan Kortschak
parent fa42c6938b
commit aff0e10c44
4 changed files with 46 additions and 44 deletions
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14
stat/statmat_test.go
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@@ -87,13 +87,13 @@ func TestCovarianceMatrix(t *testing.T) {
}
}
if !Panics(func() { CovarianceMatrix(nil, mat.NewDense(5, 2, nil), []float64{}) }) {
if !panics(func() { CovarianceMatrix(nil, mat.NewDense(5, 2, nil), []float64{}) }) {
t.Errorf("CovarianceMatrix did not panic with weight size mismatch")
}
if !Panics(func() { CovarianceMatrix(mat.NewSymDense(1, nil), mat.NewDense(5, 2, nil), nil) }) {
if !panics(func() { CovarianceMatrix(mat.NewSymDense(1, nil), mat.NewDense(5, 2, nil), nil) }) {
t.Errorf("CovarianceMatrix did not panic with preallocation size mismatch")
}
if !Panics(func() { CovarianceMatrix(nil, mat.NewDense(2, 2, []float64{1, 2, 3, 4}), []float64{1, -1}) }) {
if !panics(func() { CovarianceMatrix(nil, mat.NewDense(2, 2, []float64{1, 2, 3, 4}), []float64{1, -1}) }) {
t.Errorf("CovarianceMatrix did not panic with negative weights")
}
}
@@ -183,13 +183,13 @@ func TestCorrelationMatrix(t *testing.T) {
}
}
if !Panics(func() { CorrelationMatrix(nil, mat.NewDense(5, 2, nil), []float64{}) }) {
if !panics(func() { CorrelationMatrix(nil, mat.NewDense(5, 2, nil), []float64{}) }) {
t.Errorf("CorrelationMatrix did not panic with weight size mismatch")
}
if !Panics(func() { CorrelationMatrix(mat.NewSymDense(1, nil), mat.NewDense(5, 2, nil), nil) }) {
if !panics(func() { CorrelationMatrix(mat.NewSymDense(1, nil), mat.NewDense(5, 2, nil), nil) }) {
t.Errorf("CorrelationMatrix did not panic with preallocation size mismatch")
}
if !Panics(func() { CorrelationMatrix(nil, mat.NewDense(2, 2, []float64{1, 2, 3, 4}), []float64{1, -1}) }) {
if !panics(func() { CorrelationMatrix(nil, mat.NewDense(2, 2, []float64{1, 2, 3, 4}), []float64{1, -1}) }) {
t.Errorf("CorrelationMatrix did not panic with negative weights")
}
}
@@ -256,7 +256,7 @@ func TestCorrCov(t *testing.T) {
t.Errorf("%d: covToCorr did not match direct Covariance calculation. Want: %v, got: %v. ", i, cov, covFromCorr)
}
if !Panics(func() { corrToCov(mat.NewSymDense(2, nil), []float64{}) }) {
if !panics(func() { corrToCov(mat.NewSymDense(2, nil), []float64{}) }) {
t.Errorf("CorrelationMatrix did not panic with sigma size mismatch")
}
}