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
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
|
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#include <cstdlib>
#include <cerrno>
#include <ctime>
#include <iostream>
#include <string>
#include <vector>
#include <typeinfo>
// the following file is automatically generated by cmake
#include "split_test_helper.h"
#ifdef NDEBUG
#undef NDEBUG
#endif
// bounds integer values for AltiVec
#ifdef __ALTIVEC__
#define EIGEN_MAKING_DOCS
#endif
#ifndef EIGEN_TEST_FUNC
#error EIGEN_TEST_FUNC must be defined
#endif
#define DEFAULT_REPEAT 10
#ifdef __ICC
// disable warning #279: controlling expression is constant
#pragma warning disable 279
#endif
namespace Eigen
{
static std::vector<std::string> g_test_stack;
static int g_repeat;
static unsigned int g_seed;
static bool g_has_set_repeat, g_has_set_seed;
}
#define EI_PP_MAKE_STRING2(S) #S
#define EI_PP_MAKE_STRING(S) EI_PP_MAKE_STRING2(S)
#define EIGEN_DEFAULT_IO_FORMAT IOFormat(4, 0, " ", "\n", "", "", "", "")
#ifndef EIGEN_NO_ASSERTION_CHECKING
namespace Eigen
{
static const bool should_raise_an_assert = false;
// Used to avoid to raise two exceptions at a time in which
// case the exception is not properly caught.
// This may happen when a second exceptions is triggered in a destructor.
static bool no_more_assert = false;
static bool report_on_cerr_on_assert_failure = true;
struct eigen_assert_exception
{
eigen_assert_exception(void) {}
~eigen_assert_exception() { Eigen::no_more_assert = false; }
};
}
// If EIGEN_DEBUG_ASSERTS is defined and if no assertion is triggered while
// one should have been, then the list of excecuted assertions is printed out.
//
// EIGEN_DEBUG_ASSERTS is not enabled by default as it
// significantly increases the compilation time
// and might even introduce side effects that would hide
// some memory errors.
#ifdef EIGEN_DEBUG_ASSERTS
namespace Eigen
{
namespace internal
{
static bool push_assert = false;
}
static std::vector<std::string> eigen_assert_list;
}
#define eigen_assert(a) \
if( (!(a)) && (!no_more_assert) ) \
{ \
if(report_on_cerr_on_assert_failure) \
std::cerr << #a << " " __FILE__ << "(" << __LINE__ << ")\n"; \
Eigen::no_more_assert = true; \
throw Eigen::eigen_assert_exception(); \
} \
else if (Eigen::internal::push_assert) \
{ \
eigen_assert_list.push_back(std::string(EI_PP_MAKE_STRING(__FILE__)" ("EI_PP_MAKE_STRING(__LINE__)") : "#a) ); \
}
#define VERIFY_RAISES_ASSERT(a) \
{ \
Eigen::no_more_assert = false; \
Eigen::eigen_assert_list.clear(); \
Eigen::internal::push_assert = true; \
Eigen::report_on_cerr_on_assert_failure = false; \
try { \
a; \
std::cerr << "One of the following asserts should have been triggered:\n"; \
for (uint ai=0 ; ai<eigen_assert_list.size() ; ++ai) \
std::cerr << " " << eigen_assert_list[ai] << "\n"; \
VERIFY(Eigen::should_raise_an_assert && # a); \
} catch (Eigen::eigen_assert_exception) { \
Eigen::internal::push_assert = false; VERIFY(true); \
} \
Eigen::report_on_cerr_on_assert_failure = true; \
Eigen::internal::push_assert = false; \
}
#else // EIGEN_DEBUG_ASSERTS
// see bug 89. The copy_bool here is working around a bug in gcc <= 4.3
#define eigen_assert(a) \
if( (!Eigen::internal::copy_bool(a)) && (!no_more_assert) )\
{ \
Eigen::no_more_assert = true; \
if(report_on_cerr_on_assert_failure) \
eigen_plain_assert(a); \
else \
throw Eigen::eigen_assert_exception(); \
}
#define VERIFY_RAISES_ASSERT(a) { \
Eigen::no_more_assert = false; \
Eigen::report_on_cerr_on_assert_failure = false; \
try { \
a; \
VERIFY(Eigen::should_raise_an_assert && # a); \
} \
catch (Eigen::eigen_assert_exception&) { VERIFY(true); } \
Eigen::report_on_cerr_on_assert_failure = true; \
}
#endif // EIGEN_DEBUG_ASSERTS
#define EIGEN_USE_CUSTOM_ASSERT
#else // EIGEN_NO_ASSERTION_CHECKING
#define VERIFY_RAISES_ASSERT(a) {}
#endif // EIGEN_NO_ASSERTION_CHECKING
#define EIGEN_INTERNAL_DEBUGGING
#include <Eigen/QR> // required for createRandomPIMatrixOfRank
static void verify_impl(bool condition, const char *testname, const char *file, int line, const char *condition_as_string)
{
if (!condition)
{
std::cerr << "Test " << testname << " failed in " << file << " (" << line << ")" \
<< std::endl << " " << condition_as_string << std::endl << std::endl; \
abort();
}
}
#define VERIFY(a) verify_impl(a, g_test_stack.back().c_str(), __FILE__, __LINE__, EI_PP_MAKE_STRING(a))
#define VERIFY_IS_EQUAL(a, b) VERIFY(test_is_equal(a, b))
#define VERIFY_IS_APPROX(a, b) VERIFY(test_isApprox(a, b))
#define VERIFY_IS_NOT_APPROX(a, b) VERIFY(!test_isApprox(a, b))
#define VERIFY_IS_MUCH_SMALLER_THAN(a, b) VERIFY(test_isMuchSmallerThan(a, b))
#define VERIFY_IS_NOT_MUCH_SMALLER_THAN(a, b) VERIFY(!test_isMuchSmallerThan(a, b))
#define VERIFY_IS_APPROX_OR_LESS_THAN(a, b) VERIFY(test_isApproxOrLessThan(a, b))
#define VERIFY_IS_NOT_APPROX_OR_LESS_THAN(a, b) VERIFY(!test_isApproxOrLessThan(a, b))
#define VERIFY_IS_UNITARY(a) VERIFY(test_isUnitary(a))
#define CALL_SUBTEST(FUNC) do { \
g_test_stack.push_back(EI_PP_MAKE_STRING(FUNC)); \
FUNC; \
g_test_stack.pop_back(); \
} while (0)
namespace Eigen {
template<typename T> inline typename NumTraits<T>::Real test_precision() { return NumTraits<T>::dummy_precision(); }
template<> inline float test_precision<float>() { return 1e-3f; }
template<> inline double test_precision<double>() { return 1e-6; }
template<> inline float test_precision<std::complex<float> >() { return test_precision<float>(); }
template<> inline double test_precision<std::complex<double> >() { return test_precision<double>(); }
template<> inline long double test_precision<long double>() { return 1e-6; }
inline bool test_isApprox(const int& a, const int& b)
{ return internal::isApprox(a, b, test_precision<int>()); }
inline bool test_isMuchSmallerThan(const int& a, const int& b)
{ return internal::isMuchSmallerThan(a, b, test_precision<int>()); }
inline bool test_isApproxOrLessThan(const int& a, const int& b)
{ return internal::isApproxOrLessThan(a, b, test_precision<int>()); }
inline bool test_isApprox(const float& a, const float& b)
{ return internal::isApprox(a, b, test_precision<float>()); }
inline bool test_isMuchSmallerThan(const float& a, const float& b)
{ return internal::isMuchSmallerThan(a, b, test_precision<float>()); }
inline bool test_isApproxOrLessThan(const float& a, const float& b)
{ return internal::isApproxOrLessThan(a, b, test_precision<float>()); }
inline bool test_isApprox(const double& a, const double& b)
{ return internal::isApprox(a, b, test_precision<double>()); }
inline bool test_isMuchSmallerThan(const double& a, const double& b)
{ return internal::isMuchSmallerThan(a, b, test_precision<double>()); }
inline bool test_isApproxOrLessThan(const double& a, const double& b)
{ return internal::isApproxOrLessThan(a, b, test_precision<double>()); }
inline bool test_isApprox(const std::complex<float>& a, const std::complex<float>& b)
{ return internal::isApprox(a, b, test_precision<std::complex<float> >()); }
inline bool test_isMuchSmallerThan(const std::complex<float>& a, const std::complex<float>& b)
{ return internal::isMuchSmallerThan(a, b, test_precision<std::complex<float> >()); }
inline bool test_isApprox(const std::complex<double>& a, const std::complex<double>& b)
{ return internal::isApprox(a, b, test_precision<std::complex<double> >()); }
inline bool test_isMuchSmallerThan(const std::complex<double>& a, const std::complex<double>& b)
{ return internal::isMuchSmallerThan(a, b, test_precision<std::complex<double> >()); }
inline bool test_isApprox(const long double& a, const long double& b)
{
bool ret = internal::isApprox(a, b, test_precision<long double>());
if (!ret) std::cerr
<< std::endl << " actual = " << a
<< std::endl << " expected = " << b << std::endl << std::endl;
return ret;
}
inline bool test_isMuchSmallerThan(const long double& a, const long double& b)
{ return internal::isMuchSmallerThan(a, b, test_precision<long double>()); }
inline bool test_isApproxOrLessThan(const long double& a, const long double& b)
{ return internal::isApproxOrLessThan(a, b, test_precision<long double>()); }
template<typename Type1, typename Type2>
inline bool test_isApprox(const Type1& a, const Type2& b)
{
return a.isApprox(b, test_precision<typename Type1::Scalar>());
}
// The idea behind this function is to compare the two scalars a and b where
// the scalar ref is a hint about the expected order of magnitude of a and b.
// Therefore, if for some reason a and b are very small compared to ref,
// we won't issue a false negative.
// This test could be: abs(a-b) <= eps * ref
// However, it seems that simply comparing a+ref and b+ref is more sensitive to true error.
template<typename Scalar,typename ScalarRef>
inline bool test_isApproxWithRef(const Scalar& a, const Scalar& b, const ScalarRef& ref)
{
return test_isApprox(a+ref, b+ref);
}
template<typename Derived1, typename Derived2>
inline bool test_isMuchSmallerThan(const MatrixBase<Derived1>& m1,
const MatrixBase<Derived2>& m2)
{
return m1.isMuchSmallerThan(m2, test_precision<typename internal::traits<Derived1>::Scalar>());
}
template<typename Derived>
inline bool test_isMuchSmallerThan(const MatrixBase<Derived>& m,
const typename NumTraits<typename internal::traits<Derived>::Scalar>::Real& s)
{
return m.isMuchSmallerThan(s, test_precision<typename internal::traits<Derived>::Scalar>());
}
template<typename Derived>
inline bool test_isUnitary(const MatrixBase<Derived>& m)
{
return m.isUnitary(test_precision<typename internal::traits<Derived>::Scalar>());
}
template<typename T, typename U>
bool test_is_equal(const T& actual, const U& expected)
{
if (actual==expected)
return true;
// false:
std::cerr
<< std::endl << " actual = " << actual
<< std::endl << " expected = " << expected << std::endl << std::endl;
return false;
}
/** Creates a random Partial Isometry matrix of given rank.
*
* A partial isometry is a matrix all of whose singular values are either 0 or 1.
* This is very useful to test rank-revealing algorithms.
*/
template<typename MatrixType>
void createRandomPIMatrixOfRank(typename MatrixType::Index desired_rank, typename MatrixType::Index rows, typename MatrixType::Index cols, MatrixType& m)
{
typedef typename internal::traits<MatrixType>::Index Index;
typedef typename internal::traits<MatrixType>::Scalar Scalar;
enum { Rows = MatrixType::RowsAtCompileTime, Cols = MatrixType::ColsAtCompileTime };
typedef Matrix<Scalar, Dynamic, 1> VectorType;
typedef Matrix<Scalar, Rows, Rows> MatrixAType;
typedef Matrix<Scalar, Cols, Cols> MatrixBType;
if(desired_rank == 0)
{
m.setZero(rows,cols);
return;
}
if(desired_rank == 1)
{
// here we normalize the vectors to get a partial isometry
m = VectorType::Random(rows).normalized() * VectorType::Random(cols).normalized().transpose();
return;
}
MatrixAType a = MatrixAType::Random(rows,rows);
MatrixType d = MatrixType::Identity(rows,cols);
MatrixBType b = MatrixBType::Random(cols,cols);
// set the diagonal such that only desired_rank non-zero entries reamain
const Index diag_size = std::min(d.rows(),d.cols());
if(diag_size != desired_rank)
d.diagonal().segment(desired_rank, diag_size-desired_rank) = VectorType::Zero(diag_size-desired_rank);
HouseholderQR<MatrixAType> qra(a);
HouseholderQR<MatrixBType> qrb(b);
m = qra.householderQ() * d * qrb.householderQ();
}
} // end namespace Eigen
template<typename T> struct GetDifferentType;
template<> struct GetDifferentType<float> { typedef double type; };
template<> struct GetDifferentType<double> { typedef float type; };
template<typename T> struct GetDifferentType<std::complex<T> >
{ typedef std::complex<typename GetDifferentType<T>::type> type; };
template<typename T> std::string type_name() { return "other"; }
template<> std::string type_name<float>() { return "float"; }
template<> std::string type_name<double>() { return "double"; }
template<> std::string type_name<int>() { return "int"; }
template<> std::string type_name<std::complex<float> >() { return "complex<float>"; }
template<> std::string type_name<std::complex<double> >() { return "complex<double>"; }
template<> std::string type_name<std::complex<int> >() { return "complex<int>"; }
// forward declaration of the main test function
void EIGEN_CAT(test_,EIGEN_TEST_FUNC)();
using namespace Eigen;
void set_repeat_from_string(const char *str)
{
errno = 0;
g_repeat = int(strtoul(str, 0, 10));
if(errno || g_repeat <= 0)
{
std::cout << "Invalid repeat value " << str << std::endl;
exit(EXIT_FAILURE);
}
g_has_set_repeat = true;
}
void set_seed_from_string(const char *str)
{
errno = 0;
g_seed = strtoul(str, 0, 10);
if(errno || g_seed == 0)
{
std::cout << "Invalid seed value " << str << std::endl;
exit(EXIT_FAILURE);
}
g_has_set_seed = true;
}
int main(int argc, char *argv[])
{
g_has_set_repeat = false;
g_has_set_seed = false;
bool need_help = false;
for(int i = 1; i < argc; i++)
{
if(argv[i][0] == 'r')
{
if(g_has_set_repeat)
{
std::cout << "Argument " << argv[i] << " conflicting with a former argument" << std::endl;
return 1;
}
set_repeat_from_string(argv[i]+1);
}
else if(argv[i][0] == 's')
{
if(g_has_set_seed)
{
std::cout << "Argument " << argv[i] << " conflicting with a former argument" << std::endl;
return 1;
}
set_seed_from_string(argv[i]+1);
}
else
{
need_help = true;
}
}
if(need_help)
{
std::cout << "This test application takes the following optional arguments:" << std::endl;
std::cout << " rN Repeat each test N times (default: " << DEFAULT_REPEAT << ")" << std::endl;
std::cout << " sN Use N as seed for random numbers (default: based on current time)" << std::endl;
std::cout << std::endl;
std::cout << "If defined, the environment variables EIGEN_REPEAT and EIGEN_SEED" << std::endl;
std::cout << "will be used as default values for these parameters." << std::endl;
return 1;
}
char *env_EIGEN_REPEAT = getenv("EIGEN_REPEAT");
if(!g_has_set_repeat && env_EIGEN_REPEAT)
set_repeat_from_string(env_EIGEN_REPEAT);
char *env_EIGEN_SEED = getenv("EIGEN_SEED");
if(!g_has_set_seed && env_EIGEN_SEED)
set_seed_from_string(env_EIGEN_SEED);
if(!g_has_set_seed) g_seed = (unsigned int) time(NULL);
if(!g_has_set_repeat) g_repeat = DEFAULT_REPEAT;
std::cout << "Initializing random number generator with seed " << g_seed << std::endl;
srand(g_seed);
std::cout << "Repeating each test " << g_repeat << " times" << std::endl;
Eigen::g_test_stack.push_back(EI_PP_MAKE_STRING(EIGEN_TEST_FUNC));
EIGEN_CAT(test_,EIGEN_TEST_FUNC)();
return 0;
}
|