File: DecisionForestTests.cpp

package info (click to toggle)
llvm-toolchain-14 1%3A14.0.6-16
  • links: PTS, VCS
  • area: main
  • in suites: sid
  • size: 1,496,368 kB
  • sloc: cpp: 5,593,980; ansic: 986,873; asm: 585,869; python: 184,223; objc: 72,530; lisp: 31,119; f90: 27,793; javascript: 9,780; pascal: 9,762; sh: 9,482; perl: 7,468; ml: 5,432; awk: 3,523; makefile: 2,547; xml: 953; cs: 573; fortran: 567
file content (29 lines) | stat: -rw-r--r-- 815 bytes parent folder | download | duplicates (19) 
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
 
#include "DecisionForestRuntimeTest.h"
#include "decision_forest_model/CategoricalFeature.h"
#include "gtest/gtest.h"

namespace clang {
namespace clangd {

TEST(DecisionForestRuntime, Evaluate) {
  using Example = ::ns1::ns2::test::Example;
  using Cat = ::ns1::ns2::TestEnum;
  using ::ns1::ns2::test::Evaluate;

  Example E;
  E.setANumber(200);         // True
  E.setAFloat(0);            // True: +10.0
  E.setACategorical(Cat::A); // True: +5.0
  EXPECT_EQ(Evaluate(E), 15.0);

  E.setANumber(200);         // True
  E.setAFloat(-2.5);         // False: -20.0
  E.setACategorical(Cat::B); // True: +5.0
  EXPECT_EQ(Evaluate(E), -15.0);

  E.setANumber(100);         // False
  E.setACategorical(Cat::C); // True: +3.0, False: -6.0
  EXPECT_EQ(Evaluate(E), -3.0);
}
} // namespace clangd
} // namespace clang