mirror of https://github.com/milvus-io/milvus.git
104 lines
3.0 KiB
Go
104 lines
3.0 KiB
Go
// Licensed to the LF AI & Data foundation under one
|
|
// or more contributor license agreements. See the NOTICE file
|
|
// distributed with this work for additional information
|
|
// regarding copyright ownership. The ASF licenses this file
|
|
// to you under the Apache License, Version 2.0 (the
|
|
// "License"); you may not use this file except in compliance
|
|
// with the License. You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
package column
|
|
|
|
import (
|
|
"fmt"
|
|
"math/rand"
|
|
"testing"
|
|
|
|
"github.com/stretchr/testify/assert"
|
|
"github.com/stretchr/testify/require"
|
|
|
|
"github.com/milvus-io/milvus/client/v2/entity"
|
|
)
|
|
|
|
func TestColumnSparseEmbedding(t *testing.T) {
|
|
columnName := fmt.Sprintf("column_sparse_embedding_%d", rand.Int())
|
|
columnLen := 8 + rand.Intn(10)
|
|
|
|
v := make([]entity.SparseEmbedding, 0, columnLen)
|
|
for i := 0; i < columnLen; i++ {
|
|
length := 1 + rand.Intn(5)
|
|
positions := make([]uint32, length)
|
|
values := make([]float32, length)
|
|
for j := 0; j < length; j++ {
|
|
positions[j] = uint32(j)
|
|
values[j] = rand.Float32()
|
|
}
|
|
se, err := entity.NewSliceSparseEmbedding(positions, values)
|
|
require.NoError(t, err)
|
|
v = append(v, se)
|
|
}
|
|
column := NewColumnSparseVectors(columnName, v)
|
|
|
|
t.Run("test column attribute", func(t *testing.T) {
|
|
assert.Equal(t, columnName, column.Name())
|
|
assert.Equal(t, entity.FieldTypeSparseVector, column.Type())
|
|
assert.Equal(t, columnLen, column.Len())
|
|
assert.EqualValues(t, v, column.Data())
|
|
})
|
|
|
|
t.Run("test column field data", func(t *testing.T) {
|
|
fd := column.FieldData()
|
|
assert.NotNil(t, fd)
|
|
assert.Equal(t, fd.GetFieldName(), columnName)
|
|
|
|
result, err := FieldDataColumn(fd, 0, -1)
|
|
assert.NoError(t, err)
|
|
|
|
parsed, ok := result.(*ColumnSparseFloatVector)
|
|
if assert.True(t, ok) {
|
|
assert.Equal(t, columnName, parsed.Name())
|
|
assert.Equal(t, entity.FieldTypeSparseVector, parsed.Type())
|
|
assert.Equal(t, columnLen, parsed.Len())
|
|
// dim not equal
|
|
// assert.EqualValues(t, v, parsed.Data())
|
|
}
|
|
})
|
|
|
|
t.Run("test column value by idx", func(t *testing.T) {
|
|
_, err := column.Value(-1)
|
|
assert.Error(t, err)
|
|
_, err = column.Value(columnLen)
|
|
assert.Error(t, err)
|
|
|
|
_, err = column.Get(-1)
|
|
assert.Error(t, err)
|
|
_, err = column.Get(columnLen)
|
|
assert.Error(t, err)
|
|
|
|
for i := 0; i < columnLen; i++ {
|
|
v, err := column.Value(i)
|
|
assert.NoError(t, err)
|
|
assert.Equal(t, column.values[i], v)
|
|
getV, err := column.Get(i)
|
|
assert.NoError(t, err)
|
|
assert.Equal(t, v, getV)
|
|
}
|
|
})
|
|
|
|
t.Run("test_column_slice", func(t *testing.T) {
|
|
l := rand.Intn(columnLen)
|
|
sliced := column.Slice(0, l)
|
|
slicedColumn, ok := sliced.(*ColumnSparseFloatVector)
|
|
if assert.True(t, ok) {
|
|
assert.Equal(t, column.Data()[:l], slicedColumn.Data())
|
|
}
|
|
})
|
|
}
|