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kernel_test.cc
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kernel_test.cc
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/**
* \file
*
* \brief Tests SplineKernel and GaussianKernel
*/
#include "kernel_test.h"
/// tests GaussianKernel::W
TEST_F (KernelTest,gaussianW){
GaussianKernel kernel(h_);
for(int i=0; i<100; ++i){
EXPECT_LE(0, kernel.W(r_[i]));
EXPECT_GE(1, kernel.W(r_[i]));
}
}
/// tests SplineKernel::W
TEST_F (KernelTest,splineW){
SplineKernel kernel(h_);
EXPECT_FLOAT_EQ(0, kernel.W(1.1));
for(int i=0; i<100; ++i){
EXPECT_LE(0, kernel.W(r_[i]));
EXPECT_GE(1, kernel.W(r_[i]));
}
}
/// tests GaussianKernel::GradW
TEST_F (KernelTest,gaussianGradW){
Kvector kvec1, kvec2, kvec3;
GaussianKernel kernel(h_);
kvec1.x = 1;
kvec1.y = 0;
kvec2.x = -1;
kvec2.y = 0;
kvec3 = kernel.gradW(kvec1, kvec2);
EXPECT_NE(0,kvec3.x);
EXPECT_FLOAT_EQ(0,kvec3.y);
kvec1.x = 0;
kvec1.y = 0;
kvec2.x = 1e-11;
kvec2.y = 0;
kvec3 = kernel.gradW(kvec1, kvec2);
EXPECT_LE(fabs(kvec3.x), 1e-10);
EXPECT_LE(fabs(kvec3.y), 1e-10);
}
/// tests SplineKernel::GradW
TEST_F (KernelTest,splineGradW){
Kvector kvec1, kvec2, kvec3;
SplineKernel kernel(h_);
kvec1.x = .5;
kvec1.y = 0;
kvec2.x = 0;
kvec2.y = 0;
kvec3 = kernel.gradW(kvec1, kvec2);
EXPECT_NE(0,kvec3.x);
EXPECT_FLOAT_EQ(0,kvec3.y);
kvec1.x = 1;
kvec1.y = 0;
kvec2.x = -1;
kvec2.y = 0;
kvec3 = kernel.gradW(kvec1, kvec2);
EXPECT_FLOAT_EQ(0,kvec3.x);
EXPECT_FLOAT_EQ(0,kvec3.y);
kvec1.x = 0;
kvec1.y = 0;
kvec2.x = 1e-11;
kvec2.y = 0;
kvec3 = kernel.gradW(kvec1, kvec2);
EXPECT_LE(fabs(kvec3.x), 1e-10);
EXPECT_LE(fabs(kvec3.y), 1e-10);
}