rmontanana/mdlp
1
1
Fork 0
mirror of https://github.com/rmontanana/mdlp.git synced 2025-08-16 07:55:58 +00:00
Code Issues Packages Projects Releases Wiki Activity

Add checked strings in exceptions

Browse Source
This commit is contained in:
Ricardo Montañana Gómez
2023-03-13 17:45:06 +01:00
parent 14860ea0b9
commit ed7433672d
1 changed files with 14 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

20
tests/FImdlp_unittest.cpp
View File

@@ -3,6 +3,14 @@
#include "../CPPFImdlp.h"
#include "ArffFiles.h"
#include <iostream>
#define EXPECT_THROW_WITH_MESSAGE(stmt, etype, whatstring) EXPECT_THROW( \
try { \
stmt; \
} catch (const etype& ex) { \
EXPECT_EQ(whatstring, std::string(ex.what())); \
throw; \
} \
, etype)
namespace mdlp {
class TestFImdlp: public CPPFImdlp, public testing::Test {
@@ -76,13 +84,13 @@ namespace mdlp {
{
X = samples_t();
y = labels_t();
EXPECT_THROW(fit(X, y), std::invalid_argument);
EXPECT_THROW_WITH_MESSAGE(fit(X, y), invalid_argument, "X and y must have at least one element");
}
TEST_F(TestFImdlp, FitErrorDifferentSize)
{
X = { 1, 2, 3 };
y = { 1, 2 };
EXPECT_THROW(fit(X, y), std::invalid_argument);
EXPECT_THROW_WITH_MESSAGE(fit(X, y), invalid_argument, "X and y must have the same size");
}
TEST_F(TestFImdlp, FitErrorMinLengtMaxDepth)
{
@@ -90,8 +98,8 @@ namespace mdlp {
auto testDepth = CPPFImdlp(3, 0, 0);
X = { 1, 2, 3 };
y = { 1, 2, 3 };
EXPECT_THROW(testLength.fit(X, y), invalid_argument);
EXPECT_THROW(testDepth.fit(X, y), invalid_argument);
EXPECT_THROW_WITH_MESSAGE(testLength.fit(X, y), invalid_argument, "min_length must be greater than 2");
EXPECT_THROW_WITH_MESSAGE(testDepth.fit(X, y), invalid_argument, "max_depth must be greater than 0");
}
TEST_F(TestFImdlp, FitErrorMaxCutPoints)
{
@@ -99,8 +107,8 @@ namespace mdlp {
auto testmax = CPPFImdlp(3, 0, 200);
X = { 1, 2, 3 };
y = { 1, 2, 3 };
EXPECT_THROW(testmin.fit(X, y), invalid_argument);
EXPECT_THROW(testmax.fit(X, y), invalid_argument);
EXPECT_THROW_WITH_MESSAGE(testmin.fit(X, y), invalid_argument, "wrong proposed num_cuts value");
EXPECT_THROW_WITH_MESSAGE(testmax.fit(X, y), invalid_argument, "wrong proposed num_cuts value");
}
TEST_F(TestFImdlp, SortIndices)
{