diff options
| author | Håvard Pettersen <havardpe@yahooinc.com> | 2022-05-12 13:23:30 +0000 |
|---|---|---|
| committer | Håvard Pettersen <havardpe@yahooinc.com> | 2022-05-13 10:01:12 +0000 |
| commit | cd0e19b2ba89d64fa34a0c1bb5422c0a86718266 (patch) | |
| tree | 95882fe50867c451f3cfb51e4df500b4b83dd7fc /searchlib/src/tests | |
| parent | 8946ed0fafae193df1ae758ead1edc98bbd2b2d8 (diff) | |
support default tensor values for query feature
Diffstat (limited to 'searchlib/src/tests')
| -rw-r--r-- | searchlib/src/tests/features/tensor/tensor_test.cpp | 15 |
1 files changed, 15 insertions, 0 deletions
diff --git a/searchlib/src/tests/features/tensor/tensor_test.cpp b/searchlib/src/tests/features/tensor/tensor_test.cpp index 1f9db526ec4..a8c4d6714d8 100644 --- a/searchlib/src/tests/features/tensor/tensor_test.cpp +++ b/searchlib/src/tests/features/tensor/tensor_test.cpp @@ -87,6 +87,10 @@ struct ExecFixture void setQueryTensorType(const vespalib::string &queryFeatureName, const vespalib::string &type) { type::QueryFeature::set(test.getIndexEnv().getProperties(), queryFeatureName, type); } + void setQueryTensorDefault(const vespalib::string &tensorName, const vespalib::string &expr) { + vespalib::string key = "query(" + tensorName + ")"; + test.getIndexEnv().getProperties().add(key, expr); + } void setupAttributeVectors() { std::vector<AttributePtr> attrs; attrs.push_back(createTensorAttribute("tensorattr", "tensor(x{})")); @@ -149,6 +153,8 @@ struct ExecFixture .add({{"x", "0"},{"y", "1"}}, 13 ) .add({{"x", "1"},{"y", "0"}}, 17 ))); setQueryTensorType("null", "tensor(q{})"); + setQueryTensorType("with_default", "tensor(x[3])"); + setQueryTensorDefault("with_default", "tensor(x[3])(x+1)"); } const Value &extractTensor(uint32_t docid) { Value::CREF value = test.resolveObjectFeature(docid); @@ -187,6 +193,15 @@ TEST_F("require that tensor from query can be extracted as tensor in query featu .add({{"q", "e"}}, 13), spec_from_value(f.execute())); } +TEST_F("require that tensor from query can have default value", + ExecFixture("query(with_default)")) +{ + EXPECT_EQUAL(TensorSpec("tensor(x[3])") + .add({{"x", 0}}, 1) + .add({{"x", 1}}, 2) + .add({{"x", 2}}, 3), spec_from_value(f.execute())); +} + TEST_F("require that empty tensor is created if attribute does not exists", ExecFixture("attribute(null)")) { |