Files
gonum/mat/format_test.go
Vladimir Chalupecky 929014505b blas/blas64: reorder struct fields
Reorder vector and matrix struct fields to match the order in which BLAS
routines accept them. This makes calls with inline declarations with
unnamed fields consistent and easier to understand.
2018-08-16 18:54:07 +02:00

151 lines
5.6 KiB
Go

// Copyright ©2013 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 (
"fmt"
"math"
"testing"
)
func TestFormat(t *testing.T) {
type rp struct {
format string
output string
}
sqrt := func(_, _ int, v float64) float64 { return math.Sqrt(v) }
for i, test := range []struct {
m fmt.Formatter
rep []rp
}{
// Dense matrix representation
{
Formatted(NewDense(3, 3, []float64{0, 0, 0, 0, 0, 0, 0, 0, 0})),
[]rp{
{"%v", "⎡0 0 0⎤\n⎢0 0 0⎥\n⎣0 0 0⎦"},
{"% f", "⎡. . .⎤\n⎢. . .⎥\n⎣. . .⎦"},
{"%#v", "&mat.Dense{mat:blas64.General{Rows:3, Cols:3, Data:[]float64{0, 0, 0, 0, 0, 0, 0, 0, 0}, Stride:3}, capRows:3, capCols:3}"},
{"%s", "%!s(*mat.Dense=Dims(3, 3))"},
},
},
{
Formatted(NewDense(3, 3, []float64{1, 1, 1, 1, 1, 1, 1, 1, 1})),
[]rp{
{"%v", "⎡1 1 1⎤\n⎢1 1 1⎥\n⎣1 1 1⎦"},
{"% f", "⎡1 1 1⎤\n⎢1 1 1⎥\n⎣1 1 1⎦"},
{"%#v", "&mat.Dense{mat:blas64.General{Rows:3, Cols:3, Data:[]float64{1, 1, 1, 1, 1, 1, 1, 1, 1}, Stride:3}, capRows:3, capCols:3}"},
},
},
{
Formatted(NewDense(3, 3, []float64{1, 1, 1, 1, 1, 1, 1, 1, 1}), Prefix("\t")),
[]rp{
{"%v", "⎡1 1 1⎤\n\t⎢1 1 1⎥\n\t⎣1 1 1⎦"},
{"% f", "⎡1 1 1⎤\n\t⎢1 1 1⎥\n\t⎣1 1 1⎦"},
{"%#v", "&mat.Dense{mat:blas64.General{Rows:3, Cols:3, Data:[]float64{1, 1, 1, 1, 1, 1, 1, 1, 1}, Stride:3}, capRows:3, capCols:3}"},
},
},
{
Formatted(NewDense(3, 3, []float64{1, 0, 0, 0, 1, 0, 0, 0, 1})),
[]rp{
{"%v", "⎡1 0 0⎤\n⎢0 1 0⎥\n⎣0 0 1⎦"},
{"% f", "⎡1 . .⎤\n⎢. 1 .⎥\n⎣. . 1⎦"},
{"%#v", "&mat.Dense{mat:blas64.General{Rows:3, Cols:3, Data:[]float64{1, 0, 0, 0, 1, 0, 0, 0, 1}, Stride:3}, capRows:3, capCols:3}"},
},
},
{
Formatted(NewDense(2, 3, []float64{1, 2, 3, 4, 5, 6})),
[]rp{
{"%v", "⎡1 2 3⎤\n⎣4 5 6⎦"},
{"% f", "⎡1 2 3⎤\n⎣4 5 6⎦"},
{"%#v", "&mat.Dense{mat:blas64.General{Rows:2, Cols:3, Data:[]float64{1, 2, 3, 4, 5, 6}, Stride:3}, capRows:2, capCols:3}"},
},
},
{
Formatted(NewDense(3, 2, []float64{1, 2, 3, 4, 5, 6})),
[]rp{
{"%v", "⎡1 2⎤\n⎢3 4⎥\n⎣5 6⎦"},
{"% f", "⎡1 2⎤\n⎢3 4⎥\n⎣5 6⎦"},
{"%#v", "&mat.Dense{mat:blas64.General{Rows:3, Cols:2, Data:[]float64{1, 2, 3, 4, 5, 6}, Stride:2}, capRows:3, capCols:2}"},
},
},
{
func() fmt.Formatter {
m := NewDense(2, 3, []float64{0, 1, 2, 3, 4, 5})
m.Apply(sqrt, m)
return Formatted(m)
}(),
[]rp{
{"%v", "⎡ 0 1 1.4142135623730951⎤\n⎣1.7320508075688772 2 2.23606797749979⎦"},
{"%.2f", "⎡0.00 1.00 1.41⎤\n⎣1.73 2.00 2.24⎦"},
{"% f", "⎡ . 1 1.4142135623730951⎤\n⎣1.7320508075688772 2 2.23606797749979⎦"},
{"%#v", "&mat.Dense{mat:blas64.General{Rows:2, Cols:3, Data:[]float64{0, 1, 1.4142135623730951, 1.7320508075688772, 2, 2.23606797749979}, Stride:3}, capRows:2, capCols:3}"},
},
},
{
func() fmt.Formatter {
m := NewDense(3, 2, []float64{0, 1, 2, 3, 4, 5})
m.Apply(sqrt, m)
return Formatted(m)
}(),
[]rp{
{"%v", "⎡ 0 1⎤\n⎢1.4142135623730951 1.7320508075688772⎥\n⎣ 2 2.23606797749979⎦"},
{"%.2f", "⎡0.00 1.00⎤\n⎢1.41 1.73⎥\n⎣2.00 2.24⎦"},
{"% f", "⎡ . 1⎤\n⎢1.4142135623730951 1.7320508075688772⎥\n⎣ 2 2.23606797749979⎦"},
{"%#v", "&mat.Dense{mat:blas64.General{Rows:3, Cols:2, Data:[]float64{0, 1, 1.4142135623730951, 1.7320508075688772, 2, 2.23606797749979}, Stride:2}, capRows:3, capCols:2}"},
},
},
{
func() fmt.Formatter {
m := NewDense(2, 3, []float64{0, 1, 2, 3, 4, 5})
m.Apply(sqrt, m)
return Formatted(m, Squeeze())
}(),
[]rp{
{"%v", "⎡ 0 1 1.4142135623730951⎤\n⎣1.7320508075688772 2 2.23606797749979⎦"},
{"%.2f", "⎡0.00 1.00 1.41⎤\n⎣1.73 2.00 2.24⎦"},
{"% f", "⎡ . 1 1.4142135623730951⎤\n⎣1.7320508075688772 2 2.23606797749979⎦"},
{"%#v", "&mat.Dense{mat:blas64.General{Rows:2, Cols:3, Data:[]float64{0, 1, 1.4142135623730951, 1.7320508075688772, 2, 2.23606797749979}, Stride:3}, capRows:2, capCols:3}"},
},
},
{
func() fmt.Formatter {
m := NewDense(1, 10, []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10})
return Formatted(m, Excerpt(3))
}(),
[]rp{
{"%v", "Dims(1, 10)\n[ 1 2 3 ... ... 8 9 10]"},
},
},
{
func() fmt.Formatter {
m := NewDense(10, 1, []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10})
return Formatted(m, Excerpt(3))
}(),
[]rp{
{"%v", "Dims(10, 1)\n⎡ 1⎤\n⎢ 2⎥\n⎢ 3⎥\n .\n .\n .\n⎢ 8⎥\n⎢ 9⎥\n⎣10⎦"},
},
},
{
func() fmt.Formatter {
m := NewDense(10, 10, nil)
for i := 0; i < 10; i++ {
m.Set(i, i, 1)
}
return Formatted(m, Excerpt(3))
}(),
[]rp{
{"%v", "Dims(10, 10)\n⎡1 0 0 ... ... 0 0 0⎤\n⎢0 1 0 0 0 0⎥\n⎢0 0 1 0 0 0⎥\n .\n .\n .\n⎢0 0 0 1 0 0⎥\n⎢0 0 0 0 1 0⎥\n⎣0 0 0 ... ... 0 0 1⎦"},
},
},
} {
for j, rp := range test.rep {
got := fmt.Sprintf(rp.format, test.m)
if got != rp.output {
t.Errorf("unexpected format result test %d part %d:\ngot:\n%s\nwant:\n%s", i, j, got, rp.output)
}
}
}
}