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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
// Unit tests for datatype.
#include <vespa/document/base/field.h>
#include <vespa/document/datatype/arraydatatype.h>
#include <vespa/document/datatype/structdatatype.h>
#include <vespa/document/datatype/tensor_data_type.h>
#include <vespa/document/fieldvalue/longfieldvalue.h>
#include <vespa/eval/eval/value_type.h>
#include <vespa/vespalib/testkit/testapp.h>
#include <vespa/vespalib/util/exceptions.h>
using namespace document;
namespace {
template <typename S>
void assign(S &lhs, const S &rhs) {
lhs = rhs;
}
TEST("require that assignment operator works for LongFieldValue") {
LongFieldValue val;
val = "1";
EXPECT_EQUAL(1, val.getValue());
val = 2;
EXPECT_EQUAL(2, val.getValue());
val = static_cast<int64_t>(3);
EXPECT_EQUAL(3, val.getValue());
val = 4.0f;
EXPECT_EQUAL(4, val.getValue());
val = 5.0;
EXPECT_EQUAL(5, val.getValue());
}
TEST("require that StructDataType can redeclare identical fields.") {
StructDataType s("foo");
Field field1("field1", 42, *DataType::STRING);
Field field2("field2", 42, *DataType::STRING);
s.addField(field1);
s.addField(field1); // ok
s.addInheritedField(field1); // ok
EXPECT_EXCEPTION(s.addField(field2), vespalib::IllegalArgumentException,
"Field id in use by field Field(field1");
s.addInheritedField(field2);
EXPECT_FALSE(s.hasField(field2.getName()));
}
class TensorDataTypeFixture {
std::unique_ptr<const TensorDataType> _tensorDataType;
public:
using ValueType = vespalib::eval::ValueType;
TensorDataTypeFixture()
: _tensorDataType()
{
}
~TensorDataTypeFixture();
void setup(const vespalib::string &spec)
{
_tensorDataType = TensorDataType::fromSpec(spec);
}
bool isAssignableType(const vespalib::string &spec) const
{
auto assignType = ValueType::from_spec(spec);
return _tensorDataType->isAssignableType(assignType);
}
};
TensorDataTypeFixture::~TensorDataTypeFixture() = default;
TEST_F("require that TensorDataType can check for assignable tensor type", TensorDataTypeFixture)
{
f.setup("tensor(x[2])");
EXPECT_TRUE(f.isAssignableType("tensor(x[2])"));
EXPECT_FALSE(f.isAssignableType("tensor(x[3])"));
EXPECT_FALSE(f.isAssignableType("tensor(y[2])"));
EXPECT_FALSE(f.isAssignableType("tensor(x{})"));
}
TEST("TensorDataType implements equals() that takes underlying tensor type into consideration")
{
auto a = TensorDataType::fromSpec("tensor<float>(x[4])");
auto b = TensorDataType::fromSpec("tensor<bfloat16>(x[4])");
EXPECT_EQUAL(*a, *a);
EXPECT_NOT_EQUAL(*a, *b);
EXPECT_NOT_EQUAL(*b, *a);
}
} // namespace
TEST_MAIN() { TEST_RUN_ALL(); }
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