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https://gitee.com/milvus-io/milvus.git
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234fedd99e
Signed-off-by: yun.zhang <yun.zhang@zilliz.com> Co-authored-by: yun.zhang <yun.zhang@zilliz.com>
292 lines
6.9 KiB
Go
292 lines
6.9 KiB
Go
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package distance
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import (
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"math"
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"math/rand"
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"testing"
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"time"
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"github.com/stretchr/testify/assert"
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)
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const PRECISION = 1e-6
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func TestValidateMetricType(t *testing.T) {
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invalidMetric := []string{"", "aaa"}
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for _, str := range invalidMetric {
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_, err := ValidateMetricType(str)
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assert.Error(t, err)
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}
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validMetric := []string{"L2", "ip", "Hamming", "Tanimoto"}
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for _, str := range validMetric {
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metric, err := ValidateMetricType(str)
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assert.Nil(t, err)
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assert.True(t, metric == L2 || metric == IP || metric == HAMMING || metric == TANIMOTO)
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}
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}
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func TestValidateFloatArrayLength(t *testing.T) {
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err := ValidateFloatArrayLength(3, 12)
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assert.Nil(t, err)
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err = ValidateFloatArrayLength(5, 11)
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assert.Error(t, err)
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}
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////////////////////////////////////////////////////////////////////////////////
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func CreateFloatArray(n, dim int64) []float32 {
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rand.Seed(time.Now().UnixNano())
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num := n * dim
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array := make([]float32, num)
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for i := int64(0); i < num; i++ {
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array[i] = rand.Float32()
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}
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return array
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}
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func DistanceL2(left, right []float32) float32 {
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if len(left) != len(right) {
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panic("array dimension not equal")
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}
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var sum float32
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for i := 0; i < len(left); i++ {
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gap := left[i] - right[i]
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sum += gap * gap
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}
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return sum
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}
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func DistanceIP(left, right []float32) float32 {
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if len(left) != len(right) {
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panic("array dimension not equal")
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}
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var sum float32
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for i := 0; i < len(left); i++ {
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sum += left[i] * right[i]
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}
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return sum
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}
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func Test_CalcL2(t *testing.T) {
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var dim int64 = 128
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var leftNum int64 = 1
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var rightNum int64 = 1
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left := CreateFloatArray(leftNum, dim)
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right := CreateFloatArray(rightNum, dim)
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sum := DistanceL2(left, right)
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distance := CalcL2(dim, left, 0, right, 0)
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assert.Less(t, math.Abs(float64(sum-distance)), PRECISION)
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distance = CalcL2(dim, left, 0, left, 0)
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assert.Less(t, float64(distance), PRECISION)
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}
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func Test_CalcIP(t *testing.T) {
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var dim int64 = 128
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var leftNum int64 = 1
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var rightNum int64 = 1
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left := CreateFloatArray(leftNum, dim)
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right := CreateFloatArray(rightNum, dim)
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sum := DistanceIP(left, right)
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distance := CalcIP(dim, left, 0, right, 0)
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assert.Less(t, math.Abs(float64(sum-distance)), PRECISION)
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}
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func Test_CalcFloatDistance(t *testing.T) {
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var dim int64 = 128
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var leftNum int64 = 10
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var rightNum int64 = 5
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left := CreateFloatArray(leftNum, dim)
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right := CreateFloatArray(rightNum, dim)
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// Verify illegal cases
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_, err := CalcFloatDistance(dim, left, right, "HAMMIN")
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assert.Error(t, err)
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_, err = CalcFloatDistance(3, left, right, "L2")
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assert.Error(t, err)
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_, err = CalcFloatDistance(dim, left, right, "HAMMIN")
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assert.Error(t, err)
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_, err = CalcFloatDistance(0, left, right, "L2")
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assert.Error(t, err)
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distances, err := CalcFloatDistance(dim, left, right, "L2")
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assert.Nil(t, err)
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// Verify the L2 distance algorithm is correct
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invalid := CreateFloatArray(rightNum, 10)
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_, err = CalcFloatDistance(dim, left, invalid, "L2")
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assert.Error(t, err)
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for i := int64(0); i < leftNum; i++ {
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for j := int64(0); j < rightNum; j++ {
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v1 := left[i*dim : (i+1)*dim]
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v2 := right[j*dim : (j+1)*dim]
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sum := DistanceL2(v1, v2)
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assert.Less(t, math.Abs(float64(sum-distances[i*rightNum+j])), PRECISION)
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}
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}
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// Verify the IP distance algorithm is correct
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distances, err = CalcFloatDistance(dim, left, right, "IP")
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assert.Nil(t, err)
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for i := int64(0); i < leftNum; i++ {
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for j := int64(0); j < rightNum; j++ {
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v1 := left[i*dim : (i+1)*dim]
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v2 := right[j*dim : (j+1)*dim]
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sum := DistanceIP(v1, v2)
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assert.Less(t, math.Abs(float64(sum-distances[i*rightNum+j])), PRECISION)
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}
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}
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}
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////////////////////////////////////////////////////////////////////////////////
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func CreateBinaryArray(n, dim int64) []byte {
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rand.Seed(time.Now().UnixNano())
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num := n * dim / 8
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if num*8 < n*dim {
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num = num + 1
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}
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array := make([]byte, num)
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for i := int64(0); i < num; i++ {
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n := rand.Intn(256)
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array[i] = uint8(n)
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}
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return array
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}
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func Test_SingleBitLen(t *testing.T) {
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n := SingleBitLen(125)
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assert.Equal(t, n, int64(128))
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n = SingleBitLen(133)
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assert.Equal(t, n, int64(136))
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}
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func Test_VectorCount(t *testing.T) {
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n := VectorCount(15, 20)
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assert.Equal(t, n, int64(10))
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n = VectorCount(8, 3)
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assert.Equal(t, n, int64(3))
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}
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func Test_ValidateBinaryArrayLength(t *testing.T) {
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err := ValidateBinaryArrayLength(21, 12)
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assert.Nil(t, err)
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err = ValidateBinaryArrayLength(21, 11)
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assert.Error(t, err)
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}
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func Test_CountOne(t *testing.T) {
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n := CountOne(6)
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assert.Equal(t, n, int32(2))
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n = CountOne(0)
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assert.Equal(t, n, int32(0))
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n = CountOne(255)
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assert.Equal(t, n, int32(8))
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}
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func Test_CalcHamming(t *testing.T) {
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var dim int64 = 22
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// v1 = 00000010 00000110 00001000
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v1 := make([]uint8, 3)
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v1[0] = 2
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v1[1] = 6
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v1[2] = 8
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// v2 = 00000001 00000111 00011011
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v2 := make([]uint8, 3)
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v2[0] = 1
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v2[1] = 7
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v2[2] = 27
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n := CalcHamming(dim, v1, 0, v2, 0)
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assert.Equal(t, n, int32(4))
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}
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func Test_CalcHamminDistance(t *testing.T) {
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var dim int64 = 125
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var leftNum int64 = 2
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left := CreateBinaryArray(leftNum, dim)
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_, e := CalcHammingDistance(0, left, left)
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assert.Error(t, e)
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distances, err := CalcHammingDistance(dim, left, left)
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assert.Nil(t, err)
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n := CalcHamming(dim, left, 0, left, 0)
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assert.Equal(t, n, int32(0))
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n = CalcHamming(dim, left, 1, left, 1)
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assert.Equal(t, n, int32(0))
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n = CalcHamming(dim, left, 0, left, 1)
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assert.Equal(t, n, distances[1])
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n = CalcHamming(dim, left, 1, left, 0)
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assert.Equal(t, n, distances[2])
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invalid := CreateBinaryArray(leftNum, 200)
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_, e = CalcHammingDistance(dim, invalid, left)
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assert.Error(t, e)
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_, e = CalcHammingDistance(dim, left, invalid)
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assert.Error(t, e)
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}
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func Test_CalcTanimotoCoefficient(t *testing.T) {
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var dim int64 = 22
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hamming := make([]int32, 2)
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hamming[0] = 4
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hamming[1] = 17
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tanimoto, err := CalcTanimotoCoefficient(dim, hamming)
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for i := 0; i < len(hamming); i++ {
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realTanimoto := float64(int32(dim)-hamming[i]) / (float64(dim)*2.0 - float64(int32(dim)-hamming[i]))
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assert.Nil(t, err)
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assert.Less(t, math.Abs(float64(tanimoto[i])-realTanimoto), float64(PRECISION))
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}
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_, err = CalcTanimotoCoefficient(-1, hamming)
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assert.Error(t, err)
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_, err = CalcTanimotoCoefficient(3, hamming)
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assert.Error(t, err)
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}
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