79 lines
2.2 KiB
C++
79 lines
2.2 KiB
C++
#ifndef __BLENDER_TESTING_H__
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#define __BLENDER_TESTING_H__
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#include "glog/logging.h"
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#include "gflags/gflags.h"
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#include "gtest/gtest.h"
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#define EXPECT_V3_NEAR(a, b, eps) \
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{ \
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EXPECT_NEAR(a[0], b[0], eps); \
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EXPECT_NEAR(a[1], b[1], eps); \
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EXPECT_NEAR(a[2], b[2], eps); \
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} (void) 0
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#define EXPECT_MATRIX_NEAR(a, b, tolerance) \
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do { \
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bool dims_match = (a.rows() == b.rows()) && (a.cols() == b.cols()); \
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EXPECT_EQ(a.rows(), b.rows()) << "Matrix rows don't match."; \
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EXPECT_EQ(a.cols(), b.cols()) << "Matrix cols don't match."; \
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if (dims_match) { \
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for (int r = 0; r < a.rows(); ++r) { \
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for (int c = 0; c < a.cols(); ++c) { \
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EXPECT_NEAR(a(r, c), b(r, c), tolerance) \
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<< "r=" << r << ", c=" << c << "."; \
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} \
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} \
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} \
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} while(false);
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#define EXPECT_MATRIX_NEAR_ZERO(a, tolerance) \
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do { \
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for (int r = 0; r < a.rows(); ++r) { \
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for (int c = 0; c < a.cols(); ++c) { \
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EXPECT_NEAR(0.0, a(r, c), tolerance) \
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<< "r=" << r << ", c=" << c << "."; \
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} \
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} \
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} while(false);
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#define EXPECT_MATRIX_EQ(a, b) \
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do { \
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bool dims_match = (a.rows() == b.rows()) && (a.cols() == b.cols()); \
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EXPECT_EQ(a.rows(), b.rows()) << "Matrix rows don't match."; \
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EXPECT_EQ(a.cols(), b.cols()) << "Matrix cols don't match."; \
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if (dims_match) { \
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for (int r = 0; r < a.rows(); ++r) { \
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for (int c = 0; c < a.cols(); ++c) { \
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EXPECT_EQ(a(r, c), b(r, c)) \
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<< "r=" << r << ", c=" << c << "."; \
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} \
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} \
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} \
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} while(false);
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// Check that sin(angle(a, b)) < tolerance.
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#define EXPECT_MATRIX_PROP(a, b, tolerance) \
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do { \
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bool dims_match = (a.rows() == b.rows()) && (a.cols() == b.cols()); \
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EXPECT_EQ(a.rows(), b.rows()) << "Matrix rows don't match."; \
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EXPECT_EQ(a.cols(), b.cols()) << "Matrix cols don't match."; \
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if (dims_match) { \
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double c = CosinusBetweenMatrices(a, b); \
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if (c * c < 1) { \
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double s = sqrt(1 - c * c); \
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EXPECT_NEAR(0, s, tolerance); \
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} \
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} \
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} while(false);
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#ifdef LIBMV_NUMERIC_NUMERIC_H
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template<class TMat>
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double CosinusBetweenMatrices(const TMat &a, const TMat &b) {
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return (a.array() * b.array()).sum() /
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libmv::FrobeniusNorm(a) / libmv::FrobeniusNorm(b);
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}
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#endif
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#endif // __BLENDER_TESTING_H__
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