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[bytom/vapor.git] / vendor / gonum.org / v1 / gonum / mat / shadow_test.go
diff --git a/vendor/gonum.org/v1/gonum/mat/shadow_test.go b/vendor/gonum.org/v1/gonum/mat/shadow_test.go
new file mode 100644 (file)
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--- /dev/null
@@ -0,0 +1,161 @@
+// Copyright ©2015 The Gonum Authors. All rights reserved.
+// Use of this source code is governed by a BSD-style
+// license that can be found in the LICENSE file.
+
+package mat
+
+import (
+       "testing"
+
+       "golang.org/x/exp/rand"
+)
+
+func TestDenseOverlaps(t *testing.T) {
+       type view struct {
+               i, j, r, c int
+               *Dense
+       }
+
+       rnd := rand.New(rand.NewSource(1))
+
+       for r := 1; r < 20; r++ {
+               for c := 1; c < 20; c++ {
+                       m := NewDense(r, c, nil)
+                       panicked, message := panics(func() { m.checkOverlap(m.RawMatrix()) })
+                       if !panicked {
+                               t.Error("expected matrix overlap with self")
+                       }
+                       if message != regionIdentity {
+                               t.Errorf("unexpected panic message for self overlap: got: %q want: %q", message, regionIdentity)
+                       }
+
+                       for i := 0; i < 1000; i++ {
+                               var views [2]view
+                               for k := range views {
+                                       if r > 1 {
+                                               views[k].i = rnd.Intn(r - 1)
+                                               views[k].r = rnd.Intn(r-views[k].i-1) + 1
+                                       } else {
+                                               views[k].r = 1
+                                       }
+                                       if c > 1 {
+                                               views[k].j = rnd.Intn(c - 1)
+                                               views[k].c = rnd.Intn(c-views[k].j-1) + 1
+                                       } else {
+                                               views[k].c = 1
+                                       }
+                                       views[k].Dense = m.Slice(views[k].i, views[k].i+views[k].r, views[k].j, views[k].j+views[k].c).(*Dense)
+
+                                       panicked, _ = panics(func() { m.checkOverlap(views[k].RawMatrix()) })
+                                       if !panicked {
+                                               t.Errorf("expected matrix (%d×%d) overlap with view {rows=%d:%d, cols=%d:%d}",
+                                                       r, c, views[k].i, views[k].i+views[k].r, views[k].j, views[k].j+views[k].c)
+                                       }
+                                       panicked, _ = panics(func() { views[k].checkOverlap(m.RawMatrix()) })
+                                       if !panicked {
+                                               t.Errorf("expected view {rows=%d:%d, cols=%d:%d} overlap with parent (%d×%d)",
+                                                       views[k].i, views[k].i+views[k].r, views[k].j, views[k].j+views[k].c, r, c)
+                                       }
+                               }
+
+                               overlapRows := intervalsOverlap(
+                                       interval{views[0].i, views[0].i + views[0].r},
+                                       interval{views[1].i, views[1].i + views[1].r},
+                               )
+                               overlapCols := intervalsOverlap(
+                                       interval{views[0].j, views[0].j + views[0].c},
+                                       interval{views[1].j, views[1].j + views[1].c},
+                               )
+                               want := overlapRows && overlapCols
+
+                               for k, v := range views {
+                                       w := views[1-k]
+                                       got, _ := panics(func() { v.checkOverlap(w.RawMatrix()) })
+                                       if got != want {
+                                               t.Errorf("unexpected result for overlap test for {rows=%d:%d, cols=%d:%d} with {rows=%d:%d, cols=%d:%d}: got: %t want: %t",
+                                                       v.i, v.i+v.r, v.j, v.j+v.c,
+                                                       w.i, w.i+w.r, w.j, w.j+w.c,
+                                                       got, want)
+                                       }
+                               }
+                       }
+               }
+       }
+}
+
+type interval struct{ from, to int }
+
+func intervalsOverlap(a, b interval) bool {
+       return a.to > b.from && b.to > a.from
+}
+
+func overlapsParentTriangle(i, j, n int, parent, view TriKind) bool {
+       switch parent {
+       case Upper:
+               if i <= j {
+                       return true
+               }
+               if view == Upper {
+                       return i < j+n
+               }
+
+       case Lower:
+               if i >= j {
+                       return true
+               }
+               if view == Lower {
+                       return i+n > j
+               }
+       }
+
+       return false
+}
+
+func overlapSiblingTriangles(ai, aj, an int, aKind TriKind, bi, bj, bn int, bKind TriKind) bool {
+       for i := max(ai, bi); i < min(ai+an, bi+bn); i++ {
+               var a, b interval
+
+               if aKind == Upper {
+                       a = interval{from: aj - ai + i, to: aj + an}
+               } else {
+                       a = interval{from: aj, to: aj - ai + i + 1}
+               }
+
+               if bKind == Upper {
+                       b = interval{from: bj - bi + i, to: bj + bn}
+               } else {
+                       b = interval{from: bj, to: bj - bi + i + 1}
+               }
+
+               if intervalsOverlap(a, b) {
+                       return true
+               }
+       }
+       return false
+}
+
+// See https://github.com/gonum/matrix/issues/359 for details.
+func TestIssue359(t *testing.T) {
+       for xi := 0; xi < 2; xi++ {
+               for xj := 0; xj < 2; xj++ {
+                       for yi := 0; yi < 2; yi++ {
+                               for yj := 0; yj < 2; yj++ {
+                                       a := NewDense(3, 3, []float64{
+                                               1, 2, 3,
+                                               4, 5, 6,
+                                               7, 8, 9,
+                                       })
+                                       x := a.Slice(xi, xi+2, xj, xj+2).(*Dense)
+                                       y := a.Slice(yi, yi+2, yj, yj+2).(*Dense)
+
+                                       panicked, _ := panics(func() { x.checkOverlap(y.mat) })
+                                       if !panicked {
+                                               t.Errorf("expected panic for aliased with offsets x(%d,%d) y(%d,%d):\nx:\n%v\ny:\n%v",
+                                                       xi, xj, yi, yj, Formatted(x), Formatted(y),
+                                               )
+                                       }
+                               }
+                       }
+               }
+       }
+}