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// Copyright 2017 Yahoo Holdings. 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/eval/eval/function.h>
#include <vespa/eval/eval/value_type.h>
#include <vespa/eval/eval/value_type_spec.h>
#include <vespa/eval/eval/node_types.h>
using namespace vespalib::eval;
struct TypeSpecExtractor : public vespalib::eval::SymbolExtractor {
void extract_symbol(const char *pos_in, const char *end_in,
const char *&pos_out, vespalib::string &symbol_out) const override
{
ValueType type = value_type::parse_spec(pos_in, end_in, pos_out);
if (pos_out != nullptr) {
symbol_out = type.to_spec();
}
}
};
void verify(const vespalib::string &type_expr, const vespalib::string &type_spec) {
auto function = Function::parse(type_expr, TypeSpecExtractor());
if (!EXPECT_TRUE(!function->has_error())) {
fprintf(stderr, "parse error: %s\n", function->get_error().c_str());
return;
}
std::vector<ValueType> input_types;
for (size_t i = 0; i < function->num_params(); ++i) {
input_types.push_back(ValueType::from_spec(function->param_name(i)));
}
NodeTypes types(*function, input_types);
if (!types.errors().empty()) {
for (const auto &msg: types.errors()) {
fprintf(stderr, "type error: %s\n", msg.c_str());
}
}
ValueType expected_type = ValueType::from_spec(type_spec);
ValueType actual_type = types.get_type(function->root());
EXPECT_EQUAL(expected_type, actual_type);
}
TEST("require that error nodes have error type") {
auto function = Function::parse("1 2 3 4 5", TypeSpecExtractor());
EXPECT_TRUE(function->has_error());
NodeTypes types(*function, std::vector<ValueType>());
ValueType expected_type = ValueType::from_spec("error");
ValueType actual_type = types.get_type(function->root());
EXPECT_EQUAL(expected_type, actual_type);
}
TEST("require that leaf constants have appropriate type") {
TEST_DO(verify("123", "double"));
TEST_DO(verify("\"string values are hashed\"", "double"));
}
TEST("require that input parameters preserve their type") {
TEST_DO(verify("error", "error"));
TEST_DO(verify("double", "double"));
TEST_DO(verify("tensor()", "double"));
TEST_DO(verify("tensor(x{},y[10],z[5])", "tensor(x{},y[10],z[5])"));
TEST_DO(verify("tensor<float>(x{},y[10],z[5])", "tensor<float>(x{},y[10],z[5])"));
}
TEST("require that if resolves to the appropriate type") {
TEST_DO(verify("if(error,1,2)", "error"));
TEST_DO(verify("if(1,error,2)", "error"));
TEST_DO(verify("if(1,2,error)", "error"));
TEST_DO(verify("if(double,1,2)", "double"));
TEST_DO(verify("if(tensor(x[10]),1,2)", "double"));
TEST_DO(verify("if(double,tensor(a{}),tensor(a{}))", "tensor(a{})"));
TEST_DO(verify("if(double,tensor(a[2]),tensor(a[2]))", "tensor(a[2])"));
TEST_DO(verify("if(double,tensor<float>(a[2]),tensor<float>(a[2]))", "tensor<float>(a[2])"));
TEST_DO(verify("if(double,tensor(a[2]),tensor<float>(a[2]))", "error"));
TEST_DO(verify("if(double,tensor(a[2]),tensor(a[3]))", "error"));
TEST_DO(verify("if(double,tensor(a[2]),tensor(a{}))", "error"));
TEST_DO(verify("if(double,tensor(a{}),tensor(b{}))", "error"));
TEST_DO(verify("if(double,tensor(a{}),double)", "error"));
}
TEST("require that reduce resolves correct type") {
TEST_DO(verify("reduce(error,sum)", "error"));
TEST_DO(verify("reduce(tensor(x{}),sum)", "double"));
TEST_DO(verify("reduce(double,sum)", "double"));
TEST_DO(verify("reduce(error,sum,x)", "error"));
TEST_DO(verify("reduce(double,sum,x)", "error"));
TEST_DO(verify("reduce(tensor(x{},y{},z{}),sum,y)", "tensor(x{},z{})"));
TEST_DO(verify("reduce(tensor(x{},y{},z{}),sum,x,z)", "tensor(y{})"));
TEST_DO(verify("reduce(tensor(x{},y{},z{}),sum,y,z,x)", "double"));
TEST_DO(verify("reduce(tensor(x{},y{},z{}),sum,w)", "error"));
TEST_DO(verify("reduce(tensor(x{},y{},z{}),sum,a,b,c)", "error"));
TEST_DO(verify("reduce(tensor(x{}),sum,x)", "double"));
TEST_DO(verify("reduce(tensor<float>(x{},y{},z{}),sum,x,z)", "tensor<float>(y{})"));
TEST_DO(verify("reduce(tensor<float>(x{}),sum,x)", "double"));
TEST_DO(verify("reduce(tensor<float>(x{}),sum)", "double"));
}
TEST("require that rename resolves correct type") {
TEST_DO(verify("rename(error,x,y)", "error"));
TEST_DO(verify("rename(double,x,y)", "error"));
TEST_DO(verify("rename(tensor(x{},y[1],z[5]),a,b)", "error"));
TEST_DO(verify("rename(tensor(x{},y[1],z[5]),x,y)", "error"));
TEST_DO(verify("rename(tensor(x{},y[1],z[5]),x,x)", "tensor(x{},y[1],z[5])"));
TEST_DO(verify("rename(tensor(x{},y[1],z[5]),x,w)", "tensor(w{},y[1],z[5])"));
TEST_DO(verify("rename(tensor(x{},y[1],z[5]),y,w)", "tensor(x{},w[1],z[5])"));
TEST_DO(verify("rename(tensor(x{},y[1],z[5]),z,w)", "tensor(x{},y[1],w[5])"));
TEST_DO(verify("rename(tensor(x{},y[1],z[5]),(x,y,z),(z,y,x))", "tensor(z{},y[1],x[5])"));
TEST_DO(verify("rename(tensor(x{},y[1],z[5]),(x,z),(z,x))", "tensor(z{},y[1],x[5])"));
TEST_DO(verify("rename(tensor(x{},y[1],z[5]),(x,y,z),(a,b,c))", "tensor(a{},b[1],c[5])"));
TEST_DO(verify("rename(tensor<float>(x{},y[1],z[5]),(x,y,z),(a,b,c))", "tensor<float>(a{},b[1],c[5])"));
}
vespalib::string strfmt(const char *pattern, const char *a) {
return vespalib::make_string(pattern, a);
}
vespalib::string strfmt(const char *pattern, const char *a, const char *b) {
return vespalib::make_string(pattern, a, b);
}
void verify_op1(const char *pattern) {
TEST_DO(verify(strfmt(pattern, "error"), "error"));
TEST_DO(verify(strfmt(pattern, "double"), "double"));
TEST_DO(verify(strfmt(pattern, "tensor(x{},y[10],z[1])"), "tensor(x{},y[10],z[1])"));
TEST_DO(verify(strfmt(pattern, "tensor<float>(x{},y[10],z[1])"), "tensor<float>(x{},y[10],z[1])"));
}
void verify_op2(const char *pattern) {
TEST_DO(verify(strfmt(pattern, "error", "error"), "error"));
TEST_DO(verify(strfmt(pattern, "double", "error"), "error"));
TEST_DO(verify(strfmt(pattern, "error", "double"), "error"));
TEST_DO(verify(strfmt(pattern, "tensor(x{})", "error"), "error"));
TEST_DO(verify(strfmt(pattern, "error", "tensor(x{})"), "error"));
TEST_DO(verify(strfmt(pattern, "double", "double"), "double"));
TEST_DO(verify(strfmt(pattern, "tensor(x{})", "double"), "tensor(x{})"));
TEST_DO(verify(strfmt(pattern, "double", "tensor(x{})"), "tensor(x{})"));
TEST_DO(verify(strfmt(pattern, "tensor(x{})", "tensor(x{})"), "tensor(x{})"));
TEST_DO(verify(strfmt(pattern, "tensor(x{})", "tensor(y{})"), "tensor(x{},y{})"));
TEST_DO(verify(strfmt(pattern, "tensor(x[5])", "tensor(x[5])"), "tensor(x[5])"));
TEST_DO(verify(strfmt(pattern, "tensor(x[3])", "tensor(x[5])"), "error"));
TEST_DO(verify(strfmt(pattern, "tensor(x[5])", "tensor(x[3])"), "error"));
TEST_DO(verify(strfmt(pattern, "tensor(x{})", "tensor(x[5])"), "error"));
TEST_DO(verify(strfmt(pattern, "tensor<float>(x[5])", "tensor<float>(x[5])"), "tensor<float>(x[5])"));
TEST_DO(verify(strfmt(pattern, "tensor<float>(x[5])", "tensor(x[5])"), "tensor(x[5])"));
TEST_DO(verify(strfmt(pattern, "tensor<float>(x[5])", "double"), "tensor<float>(x[5])"));
}
TEST("require that various operations resolve appropriate type") {
TEST_DO(verify_op1("-%s")); // Neg
TEST_DO(verify_op1("!%s")); // Not
TEST_DO(verify_op2("%s+%s")); // Add
TEST_DO(verify_op2("%s-%s")); // Sub
TEST_DO(verify_op2("%s*%s")); // Mul
TEST_DO(verify_op2("%s/%s")); // Div
TEST_DO(verify_op2("%s^%s")); // Pow
TEST_DO(verify_op2("%s==%s")); // Equal
TEST_DO(verify_op2("%s!=%s")); // NotEqual
TEST_DO(verify_op2("%s~=%s")); // Approx
TEST_DO(verify_op2("%s<%s")); // Less
TEST_DO(verify_op2("%s<=%s")); // LessEqual
TEST_DO(verify_op2("%s>%s")); // Greater
TEST_DO(verify_op2("%s>=%s")); // GreaterEqual
TEST_DO(verify_op2("%s&&%s")); // And
TEST_DO(verify_op2("%s||%s")); // Or
TEST_DO(verify_op1("cos(%s)")); // Cos
TEST_DO(verify_op1("sin(%s)")); // Sin
TEST_DO(verify_op1("tan(%s)")); // Tan
TEST_DO(verify_op1("cosh(%s)")); // Cosh
TEST_DO(verify_op1("sinh(%s)")); // Sinh
TEST_DO(verify_op1("tanh(%s)")); // Tanh
TEST_DO(verify_op1("acos(%s)")); // Acos
TEST_DO(verify_op1("asin(%s)")); // Asin
TEST_DO(verify_op1("atan(%s)")); // Atan
TEST_DO(verify_op1("exp(%s)")); // Exp
TEST_DO(verify_op1("log10(%s)")); // Log10
TEST_DO(verify_op1("log(%s)")); // Log
TEST_DO(verify_op1("sqrt(%s)")); // Sqrt
TEST_DO(verify_op1("ceil(%s)")); // Ceil
TEST_DO(verify_op1("fabs(%s)")); // Fabs
TEST_DO(verify_op1("floor(%s)")); // Floor
TEST_DO(verify_op2("atan2(%s,%s)")); // Atan2
TEST_DO(verify_op2("ldexp(%s,%s)")); // Ldexp
TEST_DO(verify_op2("pow(%s,%s)")); // Pow2
TEST_DO(verify_op2("fmod(%s,%s)")); // Fmod
TEST_DO(verify_op2("min(%s,%s)")); // min
TEST_DO(verify_op2("max(%s,%s)")); // max
TEST_DO(verify_op1("isNan(%s)")); // IsNan
TEST_DO(verify_op1("relu(%s)")); // Relu
TEST_DO(verify_op1("sigmoid(%s)")); // Sigmoid
TEST_DO(verify_op1("elu(%s)")); // Elu
}
TEST("require that map resolves correct type") {
TEST_DO(verify_op1("map(%s,f(x)(sin(x)))"));
}
TEST("require that set membership resolves correct type") {
TEST_DO(verify_op1("%s in [1,2,3]"));
}
TEST("require that join resolves correct type") {
TEST_DO(verify_op2("join(%s,%s,f(x,y)(x+y))"));
}
TEST("require that merge resolves to the appropriate type") {
const char *pattern = "merge(%s,%s,f(x,y)(x+y))";
TEST_DO(verify(strfmt(pattern, "error", "error"), "error"));
TEST_DO(verify(strfmt(pattern, "double", "error"), "error"));
TEST_DO(verify(strfmt(pattern, "error", "double"), "error"));
TEST_DO(verify(strfmt(pattern, "tensor(x{})", "error"), "error"));
TEST_DO(verify(strfmt(pattern, "error", "tensor(x{})"), "error"));
TEST_DO(verify(strfmt(pattern, "double", "double"), "double"));
TEST_DO(verify(strfmt(pattern, "tensor(x{})", "double"), "error"));
TEST_DO(verify(strfmt(pattern, "double", "tensor(x{})"), "error"));
TEST_DO(verify(strfmt(pattern, "tensor(x{})", "tensor(x{})"), "tensor(x{})"));
TEST_DO(verify(strfmt(pattern, "tensor(x{})", "tensor(y{})"), "error"));
TEST_DO(verify(strfmt(pattern, "tensor(x[5])", "tensor(x[5])"), "tensor(x[5])"));
TEST_DO(verify(strfmt(pattern, "tensor(x[3])", "tensor(x[5])"), "error"));
TEST_DO(verify(strfmt(pattern, "tensor(x[5])", "tensor(x[3])"), "error"));
TEST_DO(verify(strfmt(pattern, "tensor(x{})", "tensor(x[5])"), "error"));
TEST_DO(verify(strfmt(pattern, "tensor<float>(x[5])", "tensor<float>(x[5])"), "tensor<float>(x[5])"));
TEST_DO(verify(strfmt(pattern, "tensor<float>(x[5])", "tensor(x[5])"), "tensor(x[5])"));
TEST_DO(verify(strfmt(pattern, "tensor(x[5])", "tensor<float>(x[5])"), "tensor(x[5])"));
TEST_DO(verify(strfmt(pattern, "tensor<float>(x[5])", "double"), "error"));
}
TEST("require that static tensor lambda resolves correct type") {
TEST_DO(verify("tensor(x[5])(1.0)", "tensor(x[5])"));
TEST_DO(verify("tensor(x[5],y[10])(1.0)", "tensor(x[5],y[10])"));
TEST_DO(verify("tensor(x[5],y[10],z[15])(1.0)", "tensor(x[5],y[10],z[15])"));
TEST_DO(verify("tensor<double>(x[5],y[10],z[15])(1.0)", "tensor(x[5],y[10],z[15])"));
TEST_DO(verify("tensor<float>(x[5],y[10],z[15])(1.0)", "tensor<float>(x[5],y[10],z[15])"));
}
TEST("require that tensor create resolves correct type") {
TEST_DO(verify("tensor(x[3]):{{x:0}:double,{x:1}:double,{x:2}:double}", "tensor(x[3])"));
TEST_DO(verify("tensor(x{}):{{x:a}:double,{x:b}:double,{x:c}:double}", "tensor(x{})"));
TEST_DO(verify("tensor(x{},y[2]):{{x:a,y:0}:double,{x:a,y:1}:double}", "tensor(x{},y[2])"));
TEST_DO(verify("tensor<float>(x[3]):{{x:0}:double,{x:1}:double,{x:2}:double}", "tensor<float>(x[3])"));
TEST_DO(verify("tensor(x[3]):{{x:0}:double+double,{x:1}:double-double,{x:2}:double/double}", "tensor(x[3])"));
TEST_DO(verify("tensor(x[3]):{{x:0}:double,{x:1}:reduce(tensor(x[2]),sum),{x:2}:double}", "tensor(x[3])"));
TEST_DO(verify("tensor(x[3]):{{x:0}:double,{x:1}:tensor(x[2]),{x:2}:double}", "error"));
TEST_DO(verify("tensor(x[3]):{{x:0}:double,{x:1}:error,{x:2}:double}", "error"));
}
TEST("require that dynamic tensor lambda resolves correct type") {
TEST_DO(verify("tensor(x[3])(error)", "error"));
TEST_DO(verify("tensor(x[3])(double)", "tensor(x[3])"));
TEST_DO(verify("tensor<float>(x[3])(double)", "tensor<float>(x[3])"));
TEST_DO(verify("tensor(x[3])(tensor(x[2]))", "error"));
TEST_DO(verify("tensor(x[3])(reduce(tensor(x[2])+tensor(x[4]),sum))", "error"));
}
TEST("require that tensor peek resolves correct type") {
TEST_DO(verify("tensor(x[3]){x:1}", "double"));
TEST_DO(verify("tensor(x[3]){x:double}", "error"));
TEST_DO(verify("tensor(x[3]){x:(double)}", "double"));
TEST_DO(verify("tensor(x[3]){x:3}", "error"));
TEST_DO(verify("tensor(x{}){x:1}", "double"));
TEST_DO(verify("tensor(x{}){x:foo}", "double"));
TEST_DO(verify("tensor(x{}){x:(double)}", "double"));
TEST_DO(verify("tensor(x{}){x:(tensor(x[3]))}", "error"));
TEST_DO(verify("tensor(x{},y[3]){x:foo,y:2}", "double"));
TEST_DO(verify("tensor(x{},y[3]){x:foo}", "tensor(y[3])"));
TEST_DO(verify("tensor(x{},y[3]){y:2}", "tensor(x{})"));
TEST_DO(verify("tensor<float>(x[3]){x:1}", "double"));
TEST_DO(verify("tensor<float>(x[3]){x:double}", "error"));
TEST_DO(verify("tensor<float>(x[3]){x:(double)}", "double"));
TEST_DO(verify("tensor<float>(x[3]){x:3}", "error"));
TEST_DO(verify("tensor<float>(x{}){x:1}", "double"));
TEST_DO(verify("tensor<float>(x{}){x:foo}", "double"));
TEST_DO(verify("tensor<float>(x{}){x:(double)}", "double"));
TEST_DO(verify("tensor<float>(x{}){x:(tensor(x[3]))}", "error"));
TEST_DO(verify("tensor<float>(x{},y[3]){x:foo,y:2}", "double"));
TEST_DO(verify("tensor<float>(x{},y[3]){x:foo}", "tensor<float>(y[3])"));
TEST_DO(verify("tensor<float>(x{},y[3]){y:2}", "tensor<float>(x{})"));
}
TEST("require that tensor concat resolves correct type") {
TEST_DO(verify("concat(double,double,x)", "tensor(x[2])"));
TEST_DO(verify("concat(tensor(x[2]),tensor(x[3]),x)", "tensor(x[5])"));
TEST_DO(verify("concat(tensor(x[2]),tensor(x[2]),y)", "tensor(x[2],y[2])"));
TEST_DO(verify("concat(tensor(x[2]),tensor(x[3]),y)", "error"));
TEST_DO(verify("concat(tensor(x[2]),tensor(x{}),x)", "error"));
TEST_DO(verify("concat(tensor(x[2]),tensor(y{}),x)", "tensor(x[3],y{})"));
TEST_DO(verify("concat(tensor<float>(x[2]),tensor<float>(x[3]),x)", "tensor<float>(x[5])"));
TEST_DO(verify("concat(tensor<float>(x[2]),tensor(x[3]),x)", "tensor(x[5])"));
TEST_DO(verify("concat(tensor<float>(x[2]),double,x)", "tensor<float>(x[3])"));
}
TEST("require that double only expressions can be detected") {
auto plain_fun = Function::parse("1+2");
auto complex_fun = Function::parse("reduce(a,sum)");
NodeTypes plain_types(*plain_fun, {});
NodeTypes complex_types(*complex_fun, {ValueType::tensor_type({{"x"}})});
EXPECT_TRUE(plain_types.get_type(plain_fun->root()).is_double());
EXPECT_TRUE(complex_types.get_type(complex_fun->root()).is_double());
EXPECT_TRUE(plain_types.all_types_are_double());
EXPECT_FALSE(complex_types.all_types_are_double());
}
TEST("require that empty type repo works as expected") {
NodeTypes types;
auto function = Function::parse("1+2");
EXPECT_FALSE(function->has_error());
EXPECT_TRUE(types.get_type(function->root()).is_error());
EXPECT_FALSE(types.all_types_are_double());
}
TEST_MAIN() { TEST_RUN_ALL(); }
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