github.com/weaviate/weaviate@v1.24.6/adapters/repos/db/vector/hnsw/distancer/manhattan_test.go (about)

     1  //                           _       _
     2  // __      _____  __ ___   ___  __ _| |_ ___
     3  // \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
     4  //  \ V  V /  __/ (_| |\ V /| | (_| | ||  __/
     5  //   \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
     6  //
     7  //  Copyright © 2016 - 2024 Weaviate B.V. All rights reserved.
     8  //
     9  //  CONTACT: hello@weaviate.io
    10  //
    11  
    12  package distancer
    13  
    14  import (
    15  	"testing"
    16  
    17  	"github.com/stretchr/testify/assert"
    18  	"github.com/stretchr/testify/require"
    19  )
    20  
    21  func TestManhattanDistancer(t *testing.T) {
    22  	t.Run("identical vectors", func(t *testing.T) {
    23  		vec1 := []float32{3, 4, 5}
    24  		vec2 := []float32{3, 4, 5}
    25  		expectedDistance := float32(0)
    26  
    27  		dist, ok, err := NewManhattanProvider().New(vec1).Distance(vec2)
    28  		require.Nil(t, err)
    29  		require.True(t, ok)
    30  		control, ok, err := NewManhattanProvider().SingleDist(vec1, vec2)
    31  		require.True(t, ok)
    32  		require.Nil(t, err)
    33  		assert.Equal(t, control, dist)
    34  		assert.Equal(t, expectedDistance, dist)
    35  	})
    36  
    37  	t.Run("same angle, different euclidean position", func(t *testing.T) {
    38  		vec1 := []float32{3, 4, 5}
    39  		vec2 := []float32{1.5, 2, 2.5}
    40  		// distance will be abs(3-1.5) + abs(4-2) + abs(5-2.5) = 1.5 + 2 + 2.5 = 6
    41  		expectedDistance := float32(6)
    42  
    43  		dist, ok, err := NewManhattanProvider().New(vec1).Distance(vec2)
    44  		require.Nil(t, err)
    45  		require.True(t, ok)
    46  		control, ok, err := NewManhattanProvider().SingleDist(vec1, vec2)
    47  		require.True(t, ok)
    48  		require.Nil(t, err)
    49  		assert.Equal(t, control, dist)
    50  		assert.Equal(t, expectedDistance, dist)
    51  	})
    52  
    53  	t.Run("different vectors", func(t *testing.T) {
    54  		vec1 := []float32{10, 11}
    55  		vec2 := []float32{13, 15}
    56  		// distance will be calculated as abs(10-13) + abs(11-15) = 3 + 4 = 7
    57  		expectedDistance := float32(7)
    58  
    59  		dist, ok, err := NewManhattanProvider().New(vec1).Distance(vec2)
    60  		require.Nil(t, err)
    61  		require.True(t, ok)
    62  		control, ok, err := NewManhattanProvider().SingleDist(vec1, vec2)
    63  		require.True(t, ok)
    64  		require.Nil(t, err)
    65  		assert.Equal(t, control, dist)
    66  		assert.Equal(t, expectedDistance, dist)
    67  	})
    68  }
    69  
    70  func TestManhattanDistancerStepbyStep(t *testing.T) {
    71  	t.Run("step by step equals SingleDist", func(t *testing.T) {
    72  		vec1 := []float32{3, 4, 5}
    73  		vec2 := []float32{1.5, 2, 2.5}
    74  
    75  		expectedDistance, ok, err := NewManhattanProvider().New(vec1).Distance(vec2)
    76  		require.Nil(t, err)
    77  		require.True(t, ok)
    78  
    79  		distanceProvider := NewManhattanProvider()
    80  		sum := float32(0.0)
    81  		for i := range vec1 {
    82  			sum += distanceProvider.Step([]float32{vec1[i]}, []float32{vec2[i]})
    83  		}
    84  		control := distanceProvider.Wrap(sum)
    85  
    86  		assert.Equal(t, control, expectedDistance)
    87  	})
    88  }