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// _ _ | |
// __ _____ __ ___ ___ __ _| |_ ___ | |
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \ | |
// \ V V / __/ (_| |\ V /| | (_| | || __/ | |
// \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___| | |
// | |
// Copyright © 2016 - 2024 Weaviate B.V. All rights reserved. | |
// | |
// CONTACT: [email protected] | |
// | |
package test | |
import ( | |
"testing" | |
"github.com/weaviate/weaviate/entities/models" | |
) | |
func addTestDataHamming(t *testing.T) { | |
createObject(t, &models.Object{ | |
Class: "Hamming_Class", | |
Properties: map[string]interface{}{ | |
"name": "object_1", | |
}, | |
Vector: []float32{ | |
10, 10, 10, | |
}, | |
}) | |
createObject(t, &models.Object{ | |
Class: "Hamming_Class", | |
Properties: map[string]interface{}{ | |
"name": "object_2", | |
}, | |
Vector: []float32{ | |
10, 10, 12, | |
}, | |
}) | |
createObject(t, &models.Object{ | |
Class: "Hamming_Class", | |
Properties: map[string]interface{}{ | |
"name": "object_3", | |
}, | |
Vector: []float32{ | |
10, 11, 12, | |
}, | |
}) | |
} | |
func testHamming(t *testing.T) { | |
t.Run("without any limiting parameters", func(t *testing.T) { | |
res := AssertGraphQL(t, nil, ` | |
{ | |
Get{ | |
Hamming_Class(nearVector:{vector: [10,10,10]}){ | |
name | |
_additional{distance} | |
} | |
} | |
} | |
`) | |
results := res.Get("Get", "Hamming_Class").AsSlice() | |
expectedDistances := []float32{ | |
0, // the same vector as the query | |
1, // hamming distance to object_3 vector | |
2, // hamming distance to object_4 vector | |
} | |
compareDistances(t, expectedDistances, results) | |
}) | |
t.Run("with a certainty arg", func(t *testing.T) { | |
// not supported for non-cosine distances | |
ErrorGraphQL(t, nil, ` | |
{ | |
Get{ | |
Hamming_Class(nearVector:{vector: [10,11,12], certainty:0.3}){ | |
name | |
_additional{distance} | |
} | |
} | |
} | |
`) | |
}) | |
t.Run("with a certainty prop", func(t *testing.T) { | |
// not supported for non-cosine distances | |
ErrorGraphQL(t, nil, ` | |
{ | |
Get{ | |
Hamming_Class(nearVector:{vector: [10,11,12], distance:0.3}){ | |
name | |
_additional{certainty} | |
} | |
} | |
} | |
`) | |
}) | |
t.Run("a high distance that includes all elements", func(t *testing.T) { | |
res := AssertGraphQL(t, nil, ` | |
{ | |
Get{ | |
Hamming_Class(nearVector:{vector: [10,10,10], distance: 365}){ | |
name | |
_additional{distance} | |
} | |
} | |
} | |
`) | |
results := res.Get("Get", "Hamming_Class").AsSlice() | |
expectedDistances := []float32{ | |
0, // the same vector as the query | |
1, // hamming distance to object_3 vector | |
2, // hamming distance to object_4 vector | |
} | |
compareDistances(t, expectedDistances, results) | |
}) | |
t.Run("a distance that is too low for the last element", func(t *testing.T) { | |
res := AssertGraphQL(t, nil, ` | |
{ | |
Get{ | |
Hamming_Class(nearVector:{vector: [10,10,10], distance: 1.5}){ | |
name | |
_additional{distance} | |
} | |
} | |
} | |
`) | |
results := res.Get("Get", "Hamming_Class").AsSlice() | |
expectedDistances := []float32{ | |
0, // the same vector as the query | |
1, // hamming distance to object_3 vector | |
// hamming distance to object_4 vector skipped because 2>1 | |
} | |
compareDistances(t, expectedDistances, results) | |
}) | |
t.Run("a distance that is too low for the second element", func(t *testing.T) { | |
res := AssertGraphQL(t, nil, ` | |
{ | |
Get{ | |
Hamming_Class(nearVector:{vector: [10,10,10], distance: 0.5}){ | |
name | |
_additional{distance} | |
} | |
} | |
} | |
`) | |
results := res.Get("Get", "Hamming_Class").AsSlice() | |
expectedDistances := []float32{ | |
0, // the same vector as the query | |
// hamming distance to object_3 vector skipped because 1>0.5 | |
// hamming distance to object_4 vector skipped because 2>0.5 | |
} | |
compareDistances(t, expectedDistances, results) | |
}) | |
t.Run("a distance of 0 only matches exact elements", func(t *testing.T) { | |
res := AssertGraphQL(t, nil, ` | |
{ | |
Get{ | |
Hamming_Class(nearVector:{vector: [10,10,10], distance: 0}){ | |
name | |
_additional{distance} | |
} | |
} | |
} | |
`) | |
results := res.Get("Get", "Hamming_Class").AsSlice() | |
expectedDistances := []float32{ | |
0, // the same vector as the query | |
// second elem skipped, because 1 > 0 | |
// last eleme skipped, because 2 > 0 | |
} | |
compareDistances(t, expectedDistances, results) | |
}) | |
} | |