1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
|
// Copyright 2016 Yahoo Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/vespalib/testkit/test_kit.h>
#include <vespa/searchlib/features/setup.h>
#include <vespa/searchlib/fef/fef.h>
#include <vespa/searchlib/fef/test/ftlib.h>
#include <vespa/searchlib/fef/test/indexenvironment.h>
#include <vespa/eval/eval/function.h>
#include <vespa/eval/eval/tensor_spec.h>
#include <vespa/eval/tensor/default_tensor.h>
#include <vespa/eval/tensor/default_tensor_engine.h>
#include <vespa/eval/tensor/tensor_factory.h>
using search::feature_t;
using namespace search::fef;
using namespace search::fef::indexproperties;
using namespace search::fef::test;
using namespace search::features;
using vespalib::eval::Function;
using vespalib::eval::Value;
using vespalib::eval::DoubleValue;
using vespalib::eval::TensorValue;
using vespalib::eval::TensorSpec;
using vespalib::eval::ValueType;
using vespalib::tensor::DefaultTensorEngine;
using vespalib::tensor::DenseTensorCells;
using vespalib::tensor::Tensor;
using vespalib::tensor::TensorCells;
using vespalib::tensor::TensorDimensions;
using vespalib::tensor::TensorFactory;
namespace
{
Tensor::UP createTensor(const TensorCells &cells,
const TensorDimensions &dimensions) {
vespalib::tensor::DefaultTensor::builder builder;
return TensorFactory::create(cells, dimensions, builder);
}
Tensor::UP make_tensor(const TensorSpec &spec) {
auto tensor = DefaultTensorEngine::ref().create(spec);
return Tensor::UP(dynamic_cast<Tensor*>(tensor.release()));
}
}
struct ExecFixture
{
BlueprintFactory factory;
FtFeatureTest test;
ExecFixture(const vespalib::string &feature)
: factory(),
test(factory, feature)
{
setup_search_features(factory);
}
bool setup() { return test.setup(); }
const Tensor &extractTensor() {
const Value::CREF *value = test.resolveObjectFeature();
ASSERT_TRUE(value != nullptr);
ASSERT_TRUE(value->get().is_tensor());
return static_cast<const Tensor &>(*value->get().as_tensor());
}
const Tensor &executeTensor(uint32_t docId = 1) {
test.executeOnly(docId);
return extractTensor();
}
double extractDouble() {
const Value::CREF *value = test.resolveObjectFeature();
ASSERT_TRUE(value != nullptr);
ASSERT_TRUE(value->get().is_double());
return value->get().as_double();
}
double executeDouble(uint32_t docId = 1) {
test.executeOnly(docId);
return extractDouble();
}
void addTensor(const vespalib::string &name,
const TensorCells &cells,
const TensorDimensions &dimensions)
{
Tensor::UP tensor = createTensor(cells, dimensions);
ValueType type(tensor->getType());
test.getIndexEnv().addConstantValue(name,
std::move(type),
std::make_unique<TensorValue>(std::move(tensor)));
}
void addDouble(const vespalib::string &name, const double value) {
test.getIndexEnv().addConstantValue(name,
ValueType::double_type(),
std::make_unique<DoubleValue>(value));
}
};
TEST_F("require that missing constant is detected",
ExecFixture("constant(foo)"))
{
EXPECT_TRUE(!f.setup());
}
TEST_F("require that existing tensor constant is detected",
ExecFixture("constant(foo)"))
{
f.addTensor("foo",
{ {{{"x", "a"}}, 3},
{{{"x", "b"}}, 5},
{{{"x", "c"}}, 7} },
{ "x" });
EXPECT_TRUE(f.setup());
auto expect = make_tensor(TensorSpec("tensor(x{})")
.add({{"x","b"}}, 5)
.add({{"x","c"}}, 7)
.add({{"x","a"}}, 3));
EXPECT_EQUAL(*expect, f.executeTensor());
}
TEST_F("require that existing double constant is detected",
ExecFixture("constant(foo)"))
{
f.addDouble("foo", 42.0);
EXPECT_TRUE(f.setup());
EXPECT_EQUAL(42.0, f.executeDouble());
}
TEST_MAIN() { TEST_RUN_ALL(); }
|
