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559 lines
22 KiB
C++
559 lines
22 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
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// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include <cstdlib>
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#include <cerrno>
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#include <ctime>
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#include <iostream>
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#include <fstream>
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#include <string>
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#include <sstream>
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#include <vector>
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#include <typeinfo>
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// The following includes of STL headers have to be done _before_ the
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// definition of macros min() and max(). The reason is that many STL
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// implementations will not work properly as the min and max symbols collide
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// with the STL functions std:min() and std::max(). The STL headers may check
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// for the macro definition of min/max and issue a warning or undefine the
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// macros.
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//
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// Still, Windows defines min() and max() in windef.h as part of the regular
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// Windows system interfaces and many other Windows APIs depend on these
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// macros being available. To prevent the macro expansion of min/max and to
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// make Eigen compatible with the Windows environment all function calls of
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// std::min() and std::max() have to be written with parenthesis around the
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// function name.
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//
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// All STL headers used by Eigen should be included here. Because main.h is
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// included before any Eigen header and because the STL headers are guarded
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// against multiple inclusions, no STL header will see our own min/max macro
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// definitions.
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#include <limits>
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#include <algorithm>
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#include <complex>
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#include <deque>
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#include <queue>
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#include <list>
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// To test that all calls from Eigen code to std::min() and std::max() are
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// protected by parenthesis against macro expansion, the min()/max() macros
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// are defined here and any not-parenthesized min/max call will cause a
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// compiler error.
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#define min(A,B) please_protect_your_min_with_parentheses
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#define max(A,B) please_protect_your_max_with_parentheses
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#define FORBIDDEN_IDENTIFIER (this_identifier_is_forbidden_to_avoid_clashes) this_identifier_is_forbidden_to_avoid_clashes
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// B0 is defined in POSIX header termios.h
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#define B0 FORBIDDEN_IDENTIFIER
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// Unit tests calling Eigen's blas library must preserve the default blocking size
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// to avoid troubles.
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#ifndef EIGEN_NO_DEBUG_SMALL_PRODUCT_BLOCKS
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#define EIGEN_DEBUG_SMALL_PRODUCT_BLOCKS
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#endif
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// shuts down ICC's remark #593: variable "XXX" was set but never used
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#define TEST_SET_BUT_UNUSED_VARIABLE(X) X = X + 0;
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// the following file is automatically generated by cmake
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#include "split_test_helper.h"
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#ifdef NDEBUG
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#undef NDEBUG
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#endif
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// On windows CE, NDEBUG is automatically defined <assert.h> if NDEBUG is not defined.
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#ifndef DEBUG
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#define DEBUG
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#endif
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// bounds integer values for AltiVec
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#ifdef __ALTIVEC__
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#define EIGEN_MAKING_DOCS
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#endif
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#ifndef EIGEN_TEST_FUNC
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#error EIGEN_TEST_FUNC must be defined
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#endif
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#define DEFAULT_REPEAT 10
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namespace Eigen
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{
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static std::vector<std::string> g_test_stack;
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static int g_repeat;
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static unsigned int g_seed;
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static bool g_has_set_repeat, g_has_set_seed;
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}
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#define TRACK std::cerr << __FILE__ << " " << __LINE__ << std::endl
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// #define TRACK while()
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#define EI_PP_MAKE_STRING2(S) #S
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#define EI_PP_MAKE_STRING(S) EI_PP_MAKE_STRING2(S)
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#define EIGEN_DEFAULT_IO_FORMAT IOFormat(4, 0, " ", "\n", "", "", "", "")
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#if (defined(_CPPUNWIND) || defined(__EXCEPTIONS)) && !defined(__CUDA_ARCH__)
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#define EIGEN_EXCEPTIONS
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#endif
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#ifndef EIGEN_NO_ASSERTION_CHECKING
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namespace Eigen
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{
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static const bool should_raise_an_assert = false;
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// Used to avoid to raise two exceptions at a time in which
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// case the exception is not properly caught.
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// This may happen when a second exceptions is triggered in a destructor.
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static bool no_more_assert = false;
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static bool report_on_cerr_on_assert_failure = true;
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struct eigen_assert_exception
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{
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eigen_assert_exception(void) {}
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~eigen_assert_exception() { Eigen::no_more_assert = false; }
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};
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}
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// If EIGEN_DEBUG_ASSERTS is defined and if no assertion is triggered while
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// one should have been, then the list of excecuted assertions is printed out.
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//
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// EIGEN_DEBUG_ASSERTS is not enabled by default as it
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// significantly increases the compilation time
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// and might even introduce side effects that would hide
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// some memory errors.
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#ifdef EIGEN_DEBUG_ASSERTS
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namespace Eigen
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{
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namespace internal
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{
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static bool push_assert = false;
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}
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static std::vector<std::string> eigen_assert_list;
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}
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#define eigen_assert(a) \
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if( (!(a)) && (!no_more_assert) ) \
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{ \
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if(report_on_cerr_on_assert_failure) \
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std::cerr << #a << " " __FILE__ << "(" << __LINE__ << ")\n"; \
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Eigen::no_more_assert = true; \
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EIGEN_THROW_X(Eigen::eigen_assert_exception()); \
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} \
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else if (Eigen::internal::push_assert) \
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{ \
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eigen_assert_list.push_back(std::string(EI_PP_MAKE_STRING(__FILE__) " (" EI_PP_MAKE_STRING(__LINE__) ") : " #a) ); \
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}
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#ifdef EIGEN_EXCEPTIONS
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#define VERIFY_RAISES_ASSERT(a) \
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{ \
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Eigen::no_more_assert = false; \
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Eigen::eigen_assert_list.clear(); \
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Eigen::internal::push_assert = true; \
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Eigen::report_on_cerr_on_assert_failure = false; \
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try { \
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a; \
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std::cerr << "One of the following asserts should have been triggered:\n"; \
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for (uint ai=0 ; ai<eigen_assert_list.size() ; ++ai) \
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std::cerr << " " << eigen_assert_list[ai] << "\n"; \
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VERIFY(Eigen::should_raise_an_assert && # a); \
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} catch (Eigen::eigen_assert_exception) { \
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Eigen::internal::push_assert = false; VERIFY(true); \
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} \
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Eigen::report_on_cerr_on_assert_failure = true; \
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Eigen::internal::push_assert = false; \
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}
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#endif //EIGEN_EXCEPTIONS
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#elif !defined(__CUDACC__) // EIGEN_DEBUG_ASSERTS
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// see bug 89. The copy_bool here is working around a bug in gcc <= 4.3
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#define eigen_assert(a) \
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if( (!Eigen::internal::copy_bool(a)) && (!no_more_assert) )\
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{ \
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Eigen::no_more_assert = true; \
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if(report_on_cerr_on_assert_failure) \
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eigen_plain_assert(a); \
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else \
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EIGEN_THROW_X(Eigen::eigen_assert_exception()); \
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}
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#ifdef EIGEN_EXCEPTIONS
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#define VERIFY_RAISES_ASSERT(a) { \
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Eigen::no_more_assert = false; \
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Eigen::report_on_cerr_on_assert_failure = false; \
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try { \
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a; \
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VERIFY(Eigen::should_raise_an_assert && # a); \
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} \
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catch (Eigen::eigen_assert_exception&) { VERIFY(true); } \
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Eigen::report_on_cerr_on_assert_failure = true; \
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}
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#endif //EIGEN_EXCEPTIONS
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#endif // EIGEN_DEBUG_ASSERTS
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#ifndef VERIFY_RAISES_ASSERT
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#define VERIFY_RAISES_ASSERT(a) \
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std::cout << "Can't VERIFY_RAISES_ASSERT( " #a " ) with exceptions disabled\n";
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#endif
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#if !defined(__CUDACC__)
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#define EIGEN_USE_CUSTOM_ASSERT
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#endif
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#else // EIGEN_NO_ASSERTION_CHECKING
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#define VERIFY_RAISES_ASSERT(a) {}
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#endif // EIGEN_NO_ASSERTION_CHECKING
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#define EIGEN_INTERNAL_DEBUGGING
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#include <Eigen/QR> // required for createRandomPIMatrixOfRank
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inline void verify_impl(bool condition, const char *testname, const char *file, int line, const char *condition_as_string)
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{
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if (!condition)
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{
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std::cerr << "Test " << testname << " failed in " << file << " (" << line << ")"
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<< std::endl << " " << condition_as_string << std::endl;
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std::cerr << "Stack:\n";
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const int test_stack_size = static_cast<int>(Eigen::g_test_stack.size());
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for(int i=test_stack_size-1; i>=0; --i)
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std::cerr << " - " << Eigen::g_test_stack[i] << "\n";
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std::cerr << "\n";
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abort();
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}
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}
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#define VERIFY(a) ::verify_impl(a, g_test_stack.back().c_str(), __FILE__, __LINE__, EI_PP_MAKE_STRING(a))
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#define VERIFY_IS_EQUAL(a, b) VERIFY(test_is_equal(a, b))
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#define VERIFY_IS_APPROX(a, b) VERIFY(test_isApprox(a, b))
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#define VERIFY_IS_NOT_APPROX(a, b) VERIFY(!test_isApprox(a, b))
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#define VERIFY_IS_MUCH_SMALLER_THAN(a, b) VERIFY(test_isMuchSmallerThan(a, b))
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#define VERIFY_IS_NOT_MUCH_SMALLER_THAN(a, b) VERIFY(!test_isMuchSmallerThan(a, b))
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#define VERIFY_IS_APPROX_OR_LESS_THAN(a, b) VERIFY(test_isApproxOrLessThan(a, b))
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#define VERIFY_IS_NOT_APPROX_OR_LESS_THAN(a, b) VERIFY(!test_isApproxOrLessThan(a, b))
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#define VERIFY_IS_UNITARY(a) VERIFY(test_isUnitary(a))
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#define CALL_SUBTEST(FUNC) do { \
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g_test_stack.push_back(EI_PP_MAKE_STRING(FUNC)); \
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FUNC; \
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g_test_stack.pop_back(); \
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} while (0)
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namespace Eigen {
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template<typename T> inline typename NumTraits<T>::Real test_precision() { return NumTraits<T>::dummy_precision(); }
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template<> inline float test_precision<float>() { return 1e-3f; }
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template<> inline double test_precision<double>() { return 1e-6; }
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template<> inline float test_precision<std::complex<float> >() { return test_precision<float>(); }
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template<> inline double test_precision<std::complex<double> >() { return test_precision<double>(); }
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template<> inline long double test_precision<long double>() { return 1e-6; }
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inline bool test_isApprox(const int& a, const int& b)
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{ return internal::isApprox(a, b, test_precision<int>()); }
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inline bool test_isMuchSmallerThan(const int& a, const int& b)
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{ return internal::isMuchSmallerThan(a, b, test_precision<int>()); }
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inline bool test_isApproxOrLessThan(const int& a, const int& b)
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{ return internal::isApproxOrLessThan(a, b, test_precision<int>()); }
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inline bool test_isApprox(const float& a, const float& b)
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{ return internal::isApprox(a, b, test_precision<float>()); }
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inline bool test_isMuchSmallerThan(const float& a, const float& b)
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{ return internal::isMuchSmallerThan(a, b, test_precision<float>()); }
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inline bool test_isApproxOrLessThan(const float& a, const float& b)
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{ return internal::isApproxOrLessThan(a, b, test_precision<float>()); }
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inline bool test_isApprox(const double& a, const double& b)
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{ return internal::isApprox(a, b, test_precision<double>()); }
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inline bool test_isMuchSmallerThan(const double& a, const double& b)
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{ return internal::isMuchSmallerThan(a, b, test_precision<double>()); }
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inline bool test_isApproxOrLessThan(const double& a, const double& b)
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{ return internal::isApproxOrLessThan(a, b, test_precision<double>()); }
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#ifndef EIGEN_TEST_NO_COMPLEX
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inline bool test_isApprox(const std::complex<float>& a, const std::complex<float>& b)
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{ return internal::isApprox(a, b, test_precision<std::complex<float> >()); }
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inline bool test_isMuchSmallerThan(const std::complex<float>& a, const std::complex<float>& b)
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{ return internal::isMuchSmallerThan(a, b, test_precision<std::complex<float> >()); }
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inline bool test_isApprox(const std::complex<double>& a, const std::complex<double>& b)
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{ return internal::isApprox(a, b, test_precision<std::complex<double> >()); }
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inline bool test_isMuchSmallerThan(const std::complex<double>& a, const std::complex<double>& b)
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{ return internal::isMuchSmallerThan(a, b, test_precision<std::complex<double> >()); }
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#endif
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#ifndef EIGEN_TEST_NO_LONGDOUBLE
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inline bool test_isApprox(const long double& a, const long double& b)
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{
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bool ret = internal::isApprox(a, b, test_precision<long double>());
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if (!ret) std::cerr
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<< std::endl << " actual = " << a
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<< std::endl << " expected = " << b << std::endl << std::endl;
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return ret;
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}
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inline bool test_isMuchSmallerThan(const long double& a, const long double& b)
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{ return internal::isMuchSmallerThan(a, b, test_precision<long double>()); }
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inline bool test_isApproxOrLessThan(const long double& a, const long double& b)
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{ return internal::isApproxOrLessThan(a, b, test_precision<long double>()); }
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#endif // EIGEN_TEST_NO_LONGDOUBLE
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template<typename Type1, typename Type2>
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inline bool test_isApprox(const Type1& a, const Type2& b)
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{
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return a.isApprox(b, test_precision<typename Type1::Scalar>());
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}
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// The idea behind this function is to compare the two scalars a and b where
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// the scalar ref is a hint about the expected order of magnitude of a and b.
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// WARNING: the scalar a and b must be positive
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// Therefore, if for some reason a and b are very small compared to ref,
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// we won't issue a false negative.
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// This test could be: abs(a-b) <= eps * ref
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// However, it seems that simply comparing a+ref and b+ref is more sensitive to true error.
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template<typename Scalar,typename ScalarRef>
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inline bool test_isApproxWithRef(const Scalar& a, const Scalar& b, const ScalarRef& ref)
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{
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return test_isApprox(a+ref, b+ref);
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}
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template<typename Derived1, typename Derived2>
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inline bool test_isMuchSmallerThan(const MatrixBase<Derived1>& m1,
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const MatrixBase<Derived2>& m2)
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{
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return m1.isMuchSmallerThan(m2, test_precision<typename internal::traits<Derived1>::Scalar>());
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}
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template<typename Derived>
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inline bool test_isMuchSmallerThan(const MatrixBase<Derived>& m,
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const typename NumTraits<typename internal::traits<Derived>::Scalar>::Real& s)
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{
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return m.isMuchSmallerThan(s, test_precision<typename internal::traits<Derived>::Scalar>());
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}
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template<typename Derived>
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inline bool test_isUnitary(const MatrixBase<Derived>& m)
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{
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return m.isUnitary(test_precision<typename internal::traits<Derived>::Scalar>());
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}
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// Forward declaration to avoid ICC warning
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template<typename T, typename U>
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bool test_is_equal(const T& actual, const U& expected);
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template<typename T, typename U>
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bool test_is_equal(const T& actual, const U& expected)
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{
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if (actual==expected)
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return true;
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// false:
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std::cerr
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<< std::endl << " actual = " << actual
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<< std::endl << " expected = " << expected << std::endl << std::endl;
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return false;
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}
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/** Creates a random Partial Isometry matrix of given rank.
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*
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* A partial isometry is a matrix all of whose singular values are either 0 or 1.
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* This is very useful to test rank-revealing algorithms.
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*/
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// Forward declaration to avoid ICC warning
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template<typename MatrixType>
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void createRandomPIMatrixOfRank(typename MatrixType::Index desired_rank, typename MatrixType::Index rows, typename MatrixType::Index cols, MatrixType& m);
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template<typename MatrixType>
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void createRandomPIMatrixOfRank(typename MatrixType::Index desired_rank, typename MatrixType::Index rows, typename MatrixType::Index cols, MatrixType& m)
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{
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typedef typename internal::traits<MatrixType>::Index Index;
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typedef typename internal::traits<MatrixType>::Scalar Scalar;
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enum { Rows = MatrixType::RowsAtCompileTime, Cols = MatrixType::ColsAtCompileTime };
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typedef Matrix<Scalar, Dynamic, 1> VectorType;
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typedef Matrix<Scalar, Rows, Rows> MatrixAType;
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typedef Matrix<Scalar, Cols, Cols> MatrixBType;
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if(desired_rank == 0)
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{
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m.setZero(rows,cols);
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return;
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}
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if(desired_rank == 1)
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{
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// here we normalize the vectors to get a partial isometry
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m = VectorType::Random(rows).normalized() * VectorType::Random(cols).normalized().transpose();
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return;
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}
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MatrixAType a = MatrixAType::Random(rows,rows);
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MatrixType d = MatrixType::Identity(rows,cols);
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MatrixBType b = MatrixBType::Random(cols,cols);
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// set the diagonal such that only desired_rank non-zero entries reamain
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const Index diag_size = (std::min)(d.rows(),d.cols());
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if(diag_size != desired_rank)
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d.diagonal().segment(desired_rank, diag_size-desired_rank) = VectorType::Zero(diag_size-desired_rank);
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HouseholderQR<MatrixAType> qra(a);
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HouseholderQR<MatrixBType> qrb(b);
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m = qra.householderQ() * d * qrb.householderQ();
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}
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// Forward declaration to avoid ICC warning
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template<typename PermutationVectorType>
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void randomPermutationVector(PermutationVectorType& v, typename PermutationVectorType::Index size);
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template<typename PermutationVectorType>
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void randomPermutationVector(PermutationVectorType& v, typename PermutationVectorType::Index size)
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{
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typedef typename PermutationVectorType::Index Index;
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typedef typename PermutationVectorType::Scalar Scalar;
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v.resize(size);
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for(Index i = 0; i < size; ++i) v(i) = Scalar(i);
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if(size == 1) return;
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for(Index n = 0; n < 3 * size; ++n)
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{
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Index i = internal::random<Index>(0, size-1);
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Index j;
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do j = internal::random<Index>(0, size-1); while(j==i);
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std::swap(v(i), v(j));
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}
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}
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} // end namespace Eigen
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template<typename T> struct GetDifferentType;
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template<> struct GetDifferentType<float> { typedef double type; };
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template<> struct GetDifferentType<double> { typedef float type; };
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template<typename T> struct GetDifferentType<std::complex<T> >
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{ typedef std::complex<typename GetDifferentType<T>::type> type; };
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// Forward declaration to avoid ICC warning
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template<typename T> std::string type_name();
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template<typename T> std::string type_name() { return "other"; }
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template<> std::string type_name<float>() { return "float"; }
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template<> std::string type_name<double>() { return "double"; }
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template<> std::string type_name<int>() { return "int"; }
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template<> std::string type_name<std::complex<float> >() { return "complex<float>"; }
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template<> std::string type_name<std::complex<double> >() { return "complex<double>"; }
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template<> std::string type_name<std::complex<int> >() { return "complex<int>"; }
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// forward declaration of the main test function
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void EIGEN_CAT(test_,EIGEN_TEST_FUNC)();
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using namespace Eigen;
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inline void set_repeat_from_string(const char *str)
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{
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errno = 0;
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g_repeat = int(strtoul(str, 0, 10));
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if(errno || g_repeat <= 0)
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{
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std::cout << "Invalid repeat value " << str << std::endl;
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exit(EXIT_FAILURE);
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}
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g_has_set_repeat = true;
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}
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inline void set_seed_from_string(const char *str)
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{
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errno = 0;
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g_seed = int(strtoul(str, 0, 10));
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if(errno || g_seed == 0)
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{
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std::cout << "Invalid seed value " << str << std::endl;
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exit(EXIT_FAILURE);
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}
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g_has_set_seed = true;
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}
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int main(int argc, char *argv[])
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{
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g_has_set_repeat = false;
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g_has_set_seed = false;
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bool need_help = false;
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for(int i = 1; i < argc; i++)
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{
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if(argv[i][0] == 'r')
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{
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if(g_has_set_repeat)
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{
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std::cout << "Argument " << argv[i] << " conflicting with a former argument" << std::endl;
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return 1;
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}
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set_repeat_from_string(argv[i]+1);
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}
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else if(argv[i][0] == 's')
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{
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if(g_has_set_seed)
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{
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std::cout << "Argument " << argv[i] << " conflicting with a former argument" << std::endl;
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return 1;
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}
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set_seed_from_string(argv[i]+1);
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}
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else
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{
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need_help = true;
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}
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}
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if(need_help)
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{
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std::cout << "This test application takes the following optional arguments:" << std::endl;
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std::cout << " rN Repeat each test N times (default: " << DEFAULT_REPEAT << ")" << std::endl;
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std::cout << " sN Use N as seed for random numbers (default: based on current time)" << std::endl;
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std::cout << std::endl;
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std::cout << "If defined, the environment variables EIGEN_REPEAT and EIGEN_SEED" << std::endl;
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std::cout << "will be used as default values for these parameters." << std::endl;
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return 1;
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}
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char *env_EIGEN_REPEAT = getenv("EIGEN_REPEAT");
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if(!g_has_set_repeat && env_EIGEN_REPEAT)
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set_repeat_from_string(env_EIGEN_REPEAT);
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char *env_EIGEN_SEED = getenv("EIGEN_SEED");
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if(!g_has_set_seed && env_EIGEN_SEED)
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set_seed_from_string(env_EIGEN_SEED);
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if(!g_has_set_seed) g_seed = (unsigned int) time(NULL);
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if(!g_has_set_repeat) g_repeat = DEFAULT_REPEAT;
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std::cout << "Initializing random number generator with seed " << g_seed << std::endl;
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std::stringstream ss;
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ss << "Seed: " << g_seed;
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g_test_stack.push_back(ss.str());
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srand(g_seed);
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std::cout << "Repeating each test " << g_repeat << " times" << std::endl;
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Eigen::g_test_stack.push_back(std::string(EI_PP_MAKE_STRING(EIGEN_TEST_FUNC)));
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EIGEN_CAT(test_,EIGEN_TEST_FUNC)();
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return 0;
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}
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// These warning are disabled here such that they are still ON when parsing Eigen's header files.
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#if defined __INTEL_COMPILER
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// remark #383: value copied to temporary, reference to temporary used
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// -> this warning is raised even for legal usage as: g_test_stack.push_back("foo"); where g_test_stack is a std::vector<std::string>
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// remark #1418: external function definition with no prior declaration
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// -> this warning is raised for all our test functions. Declaring them static would fix the issue.
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// warning #279: controlling expression is constant
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// remark #1572: floating-point equality and inequality comparisons are unreliable
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#pragma warning disable 279 383 1418 1572
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#endif
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