[Unittest] Fix linear lr scheduler's unittest name

Fix linear lr schduler's unit test names
- Change test cases name to *_n if it's a positive test case

**evaluation**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: lhw414 <[email protected]>

test/unittest/unittest_nntrainer_lr_scheduler.cpp

@@ -490,23 +490,23 @@ TEST(lr_linear, prop_02_n) {
   EXPECT_THROW(lr->setProperty({"learning_rate:0.1"}), std::invalid_argument);
 }
 
-TEST(lr_linear, prop_03_n) {
+TEST(lr_linear, prop_03_p) {
   auto lr = createLRS("linear");
   EXPECT_NO_THROW(lr->setProperty({"max_learning_rate=1.0"}));
 }
 
-TEST(lr_linear, prop_04_n) {
+TEST(lr_linear, prop_04_p) {
   auto lr = createLRS("linear");
   EXPECT_NO_THROW(lr->setProperty({"min_learning_rate=0.1"}));
 }
 
-TEST(lr_linear, prop_05_n) {
+TEST(lr_linear, prop_05_p) {
   auto lr = createLRS("linear");
   EXPECT_NO_THROW(lr->setProperty({"max_learning_rate=1.0"}));
   EXPECT_NO_THROW(lr->setProperty({"min_learning_rate=0.1"}));
 }
 
-TEST(lr_linear, prop_06_n) {
+TEST(lr_linear, prop_06_p) {
   auto lr = createLRS("linear");
   EXPECT_NO_THROW(lr->setProperty({"decay_steps=5"}));
 }
@@ -516,15 +516,15 @@ TEST(lr_linear, finalize_01_n) {
   EXPECT_THROW(lr->finalize(), std::invalid_argument);
 }
 
-TEST(lr_linear, finalize_02_n) {
+TEST(lr_linear, finalize_02_p) {
   auto lr = createLRS("linear");
   EXPECT_NO_THROW(lr->setProperty({"max_learning_rate=1.0"}));
   EXPECT_NO_THROW(lr->setProperty({"min_learning_rate=0.1"}));
   EXPECT_NO_THROW(lr->setProperty({"decay_steps=10"}));
   EXPECT_NO_THROW(lr->finalize());
 }
 
-TEST(lr_linear, getlearningrate_01_n) {
+TEST(lr_linear, getlearningrate_01_p) {
   auto lr = createLRS("linear");
   EXPECT_NO_THROW(lr->setProperty({"max_learning_rate=1.0"}));
   EXPECT_NO_THROW(lr->setProperty({"min_learning_rate=0.1"}));
@@ -533,7 +533,7 @@ TEST(lr_linear, getlearningrate_01_n) {
   EXPECT_FLOAT_EQ(lr->getLearningRate(0), 1);
 }
 
-TEST(lr_linear, getlearningrate_02_n) {
+TEST(lr_linear, getlearningrate_02_p) {
   auto lr = createLRS("linear");
   EXPECT_NO_THROW(lr->setProperty({"max_learning_rate=1.0"}));
   EXPECT_NO_THROW(lr->setProperty({"min_learning_rate=0.1"}));