static void invoke( char const jobz, char const range, MatrixA& a,
real_type const vl, real_type const vu, integer_t const il,
integer_t const iu, real_type const abstol, integer_t& m,
VectorW& w, MatrixZ& z, VectorIFAIL& ifail, integer_t& info,
detail::workspace3< WORK, RWORK, IWORK > work ) {
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixA >::value_type, typename traits::matrix_traits<
MatrixZ >::value_type >::value) );
BOOST_ASSERT( jobz == 'N' || jobz == 'V' );
BOOST_ASSERT( range == 'A' || range == 'V' || range == 'I' );
BOOST_ASSERT( traits::matrix_uplo_tag(a) == 'U' ||
traits::matrix_uplo_tag(a) == 'L' );
BOOST_ASSERT( traits::matrix_num_columns(a) >= 0 );
BOOST_ASSERT( traits::leading_dimension(a) >= std::max(1,
traits::matrix_num_columns(a)) );
BOOST_ASSERT( traits::vector_size(w) >=
traits::matrix_num_columns(a) );
BOOST_ASSERT( traits::vector_size(work.select(value_type())) >=
min_size_work( traits::matrix_num_columns(a) ));
BOOST_ASSERT( traits::vector_size(work.select(real_type())) >=
min_size_rwork( traits::matrix_num_columns(a) ));
BOOST_ASSERT( traits::vector_size(work.select(integer_t())) >=
min_size_iwork( traits::matrix_num_columns(a) ));
detail::heevx( jobz, range, traits::matrix_uplo_tag(a),
traits::matrix_num_columns(a), traits::matrix_storage(a),
traits::leading_dimension(a), vl, vu, il, iu, abstol, m,
traits::vector_storage(w), traits::matrix_storage(z),
traits::leading_dimension(z),
traits::vector_storage(work.select(value_type())),
traits::vector_size(work.select(value_type())),
traits::vector_storage(work.select(real_type())),
traits::vector_storage(work.select(integer_t())),
traits::vector_storage(ifail), info );
}
static void invoke( integer_t const itype, char const jobz,
integer_t const n, MatrixA& a, MatrixB& b, VectorW& w,
integer_t& info, detail::workspace3< WORK, RWORK, IWORK > work ) {
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixA >::value_type, typename traits::matrix_traits<
MatrixB >::value_type >::value) );
BOOST_ASSERT( jobz == 'N' || jobz == 'V' );
BOOST_ASSERT( traits::matrix_uplo_tag(a) == 'U' ||
traits::matrix_uplo_tag(a) == 'L' );
BOOST_ASSERT( n >= 0 );
BOOST_ASSERT( traits::leading_dimension(a) >= std::max(1,n) );
BOOST_ASSERT( traits::leading_dimension(b) >= std::max(1,n) );
BOOST_ASSERT( traits::vector_size(work.select(value_type())) >=
min_size_work( jobz, n ));
BOOST_ASSERT( traits::vector_size(work.select(real_type())) >=
min_size_rwork( jobz, n ));
BOOST_ASSERT( traits::vector_size(work.select(integer_t())) >=
min_size_iwork( jobz, n ));
detail::hegvd( itype, jobz, traits::matrix_uplo_tag(a), n,
traits::matrix_storage(a), traits::leading_dimension(a),
traits::matrix_storage(b), traits::leading_dimension(b),
traits::vector_storage(w),
traits::vector_storage(work.select(value_type())),
traits::vector_size(work.select(value_type())),
traits::vector_storage(work.select(real_type())),
traits::vector_size(work.select(real_type())),
traits::vector_storage(work.select(integer_t())),
traits::vector_size(work.select(integer_t())), info );
}
static void invoke( char const range, char const order, integer_t const n,
real_type const vl, real_type const vu, integer_t const il,
integer_t const iu, real_type const abstol, VectorD& d,
VectorE& e, integer_t& m, integer_t& nsplit, VectorW& w,
VectorIBLOCK& iblock, VectorISPLIT& isplit, integer_t& info,
detail::workspace2< WORK, IWORK > work ) {
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::vector_traits<
VectorD >::value_type, typename traits::vector_traits<
VectorE >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::vector_traits<
VectorD >::value_type, typename traits::vector_traits<
VectorW >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::vector_traits<
VectorIBLOCK >::value_type, typename traits::vector_traits<
VectorISPLIT >::value_type >::value) );
BOOST_ASSERT( range == 'A' || range == 'V' || range == 'I' );
BOOST_ASSERT( order == 'B' || order == 'E' );
BOOST_ASSERT( n >= 0 );
BOOST_ASSERT( traits::vector_size(d) >= n );
BOOST_ASSERT( traits::vector_size(e) >= n-1 );
BOOST_ASSERT( traits::vector_size(w) >= n );
BOOST_ASSERT( traits::vector_size(isplit) >= n );
BOOST_ASSERT( traits::vector_size(work.select(real_type())) >=
min_size_work( n ));
BOOST_ASSERT( traits::vector_size(work.select(integer_t())) >=
min_size_iwork( n ));
detail::stebz( range, order, n, vl, vu, il, iu, abstol,
traits::vector_storage(d), traits::vector_storage(e), m,
nsplit, traits::vector_storage(w),
traits::vector_storage(iblock),
traits::vector_storage(isplit),
traits::vector_storage(work.select(real_type())),
traits::vector_storage(work.select(integer_t())), info );
}
static void invoke( char const fact, MatrixA& a, MatrixAF& af,
char& equed, VectorS& s, MatrixB& b, MatrixX& x, real_type& rcond,
VectorFERR& ferr, VectorBERR& berr, integer_t& info,
detail::workspace2< WORK, IWORK > work ) {
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixA >::value_type, typename traits::matrix_traits<
MatrixAF >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixA >::value_type, typename traits::vector_traits<
VectorS >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixA >::value_type, typename traits::matrix_traits<
MatrixB >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixA >::value_type, typename traits::matrix_traits<
MatrixX >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixA >::value_type, typename traits::vector_traits<
VectorFERR >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixA >::value_type, typename traits::vector_traits<
VectorBERR >::value_type >::value) );
BOOST_ASSERT( fact == 'F' || fact == 'Y' || fact == 'N' ||
fact == 'E' );
BOOST_ASSERT( traits::matrix_uplo_tag(a) == 'U' ||
traits::matrix_uplo_tag(a) == 'L' );
BOOST_ASSERT( traits::matrix_num_columns(a) >= 0 );
BOOST_ASSERT( traits::matrix_num_columns(x) >= 0 );
BOOST_ASSERT( traits::leading_dimension(a) >= std::max(1,
traits::matrix_num_columns(a)) );
BOOST_ASSERT( traits::leading_dimension(af) >= std::max(1,
traits::matrix_num_columns(a)) );
BOOST_ASSERT( equed == 'N' || equed == 'Y' );
BOOST_ASSERT( traits::leading_dimension(b) >= std::max(1,
traits::matrix_num_columns(a)) );
BOOST_ASSERT( traits::leading_dimension(x) >= std::max(1,
traits::matrix_num_columns(a)) );
BOOST_ASSERT( traits::vector_size(berr) >=
traits::matrix_num_columns(x) );
BOOST_ASSERT( traits::vector_size(work.select(real_type())) >=
min_size_work( traits::matrix_num_columns(a) ));
BOOST_ASSERT( traits::vector_size(work.select(integer_t())) >=
min_size_iwork( traits::matrix_num_columns(a) ));
detail::posvx( fact, traits::matrix_uplo_tag(a),
traits::matrix_num_columns(a), traits::matrix_num_columns(x),
traits::matrix_storage(a), traits::leading_dimension(a),
traits::matrix_storage(af), traits::leading_dimension(af),
equed, traits::vector_storage(s), traits::matrix_storage(b),
traits::leading_dimension(b), traits::matrix_storage(x),
traits::leading_dimension(x), rcond,
traits::vector_storage(ferr), traits::vector_storage(berr),
traits::vector_storage(work.select(real_type())),
traits::vector_storage(work.select(integer_t())), info );
}
void GGLAssembler::expand(integer_t& d, const component_t& s, int dbits)
{
if (s.l || (s.flags & CLEAR_HI)) {
extract(d, s.reg, s.h, s.l, 32);
expand(d, d, dbits);
} else {
expand(d, integer_t(s.reg, s.size(), s.flags), dbits);
}
}
static void invoke( integer_t const n, MatrixAP& ap, MatrixAFP& afp,
VectorIPIV& ipiv, MatrixB& b, MatrixX& x, VectorFERR& ferr,
VectorBERR& berr, integer_t& info, detail::workspace2< WORK,
IWORK > work ) {
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixAP >::value_type, typename traits::matrix_traits<
MatrixAFP >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixAP >::value_type, typename traits::matrix_traits<
MatrixB >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixAP >::value_type, typename traits::matrix_traits<
MatrixX >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixAP >::value_type, typename traits::vector_traits<
VectorFERR >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixAP >::value_type, typename traits::vector_traits<
VectorBERR >::value_type >::value) );
BOOST_ASSERT( traits::matrix_uplo_tag(a) == 'U' ||
traits::matrix_uplo_tag(a) == 'L' );
BOOST_ASSERT( n >= 0 );
BOOST_ASSERT( traits::matrix_num_columns(x) >= 0 );
BOOST_ASSERT( traits::vector_size(afp) >= n*(n+1)/2 );
BOOST_ASSERT( traits::vector_size(ipiv) >= n );
BOOST_ASSERT( traits::leading_dimension(b) >= std::max(1,n) );
BOOST_ASSERT( traits::leading_dimension(x) >= std::max(1,n) );
BOOST_ASSERT( traits::vector_size(berr) >=
traits::matrix_num_columns(x) );
BOOST_ASSERT( traits::vector_size(work.select(real_type())) >=
min_size_work( n ));
BOOST_ASSERT( traits::vector_size(work.select(integer_t())) >=
min_size_iwork( n ));
detail::sprfs( traits::matrix_uplo_tag(a), n,
traits::matrix_num_columns(x), traits::matrix_storage(ap),
traits::matrix_storage(afp), traits::vector_storage(ipiv),
traits::matrix_storage(b), traits::leading_dimension(b),
traits::matrix_storage(x), traits::leading_dimension(x),
traits::vector_storage(ferr), traits::vector_storage(berr),
traits::vector_storage(work.select(real_type())),
traits::vector_storage(work.select(integer_t())), info );
}
static void invoke( char const jobz, char const range, integer_t const n,
integer_t const ka, integer_t const kb, MatrixAB& ab,
MatrixBB& bb, MatrixQ& q, real_type const vl, real_type const vu,
integer_t const il, integer_t const iu, real_type const abstol,
integer_t& m, VectorW& w, MatrixZ& z, VectorIFAIL& ifail,
integer_t& info, detail::workspace2< WORK, IWORK > work ) {
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixAB >::value_type, typename traits::matrix_traits<
MatrixBB >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixAB >::value_type, typename traits::matrix_traits<
MatrixQ >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixAB >::value_type, typename traits::vector_traits<
VectorW >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixAB >::value_type, typename traits::matrix_traits<
MatrixZ >::value_type >::value) );
BOOST_ASSERT( jobz == 'N' || jobz == 'V' );
BOOST_ASSERT( range == 'A' || range == 'V' || range == 'I' );
BOOST_ASSERT( traits::matrix_uplo_tag(ab) == 'U' ||
traits::matrix_uplo_tag(ab) == 'L' );
BOOST_ASSERT( n >= 0 );
BOOST_ASSERT( ka >= 0 );
BOOST_ASSERT( kb >= 0 );
BOOST_ASSERT( traits::leading_dimension(ab) >= ka+1 );
BOOST_ASSERT( traits::leading_dimension(bb) >= kb+1 );
BOOST_ASSERT( traits::vector_size(work.select(real_type())) >=
min_size_work( n ));
BOOST_ASSERT( traits::vector_size(work.select(integer_t())) >=
min_size_iwork( n ));
detail::sbgvx( jobz, range, traits::matrix_uplo_tag(ab), n, ka, kb,
traits::matrix_storage(ab), traits::leading_dimension(ab),
traits::matrix_storage(bb), traits::leading_dimension(bb),
traits::matrix_storage(q), traits::leading_dimension(q), vl,
vu, il, iu, abstol, m, traits::vector_storage(w),
traits::matrix_storage(z), traits::leading_dimension(z),
traits::vector_storage(work.select(real_type())),
traits::vector_storage(work.select(integer_t())),
traits::vector_storage(ifail), info );
}
RString SetThreadPrecedence( float prec )
{
// Real values are between 0 and 63.
DEBUG_ASSERT( 0.0f <= prec && prec <= 1.0f );
thread_precedence_policy po = { integer_t( lrintf(prec * 63) ) };
kern_return_t ret = thread_policy_set( mach_thread_self(), THREAD_PRECEDENCE_POLICY,
(thread_policy_t)&po, THREAD_PRECEDENCE_POLICY_COUNT );
if( ret != KERN_SUCCESS )
return mach_error_string( ret );
return RString();
}
static void invoke( char const jobz, MatrixA& a, VectorW& w,
integer_t& info, detail::workspace2< WORK, IWORK > work ) {
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::matrix_traits<
MatrixA >::value_type, typename traits::vector_traits<
VectorW >::value_type >::value) );
BOOST_ASSERT( jobz == 'N' || jobz == 'V' );
BOOST_ASSERT( traits::matrix_uplo_tag(a) == 'U' ||
traits::matrix_uplo_tag(a) == 'L' );
BOOST_ASSERT( traits::matrix_num_columns(a) >= 0 );
BOOST_ASSERT( traits::leading_dimension(a) >= std::max(1,
traits::matrix_num_columns(a)) );
BOOST_ASSERT( traits::vector_size(work.select(real_type())) >=
min_size_work( jobz, traits::matrix_num_columns(a) ));
BOOST_ASSERT( traits::vector_size(work.select(integer_t())) >=
min_size_iwork( jobz, traits::matrix_num_columns(a) ));
detail::syevd( jobz, traits::matrix_uplo_tag(a),
traits::matrix_num_columns(a), traits::matrix_storage(a),
traits::leading_dimension(a), traits::vector_storage(w),
traits::vector_storage(work.select(real_type())),
traits::vector_size(work.select(real_type())),
traits::vector_storage(work.select(integer_t())),
traits::vector_size(work.select(integer_t())), info );
}
static void invoke( char const compz, integer_t const n, VectorD& d,
VectorE& e, MatrixZ& z, integer_t& info, detail::workspace2< WORK,
IWORK > work ) {
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::vector_traits<
VectorD >::value_type, typename traits::vector_traits<
VectorE >::value_type >::value) );
BOOST_STATIC_ASSERT( (boost::is_same< typename traits::vector_traits<
VectorD >::value_type, typename traits::matrix_traits<
MatrixZ >::value_type >::value) );
BOOST_ASSERT( compz == 'N' || compz == 'I' || compz == 'V' );
BOOST_ASSERT( n >= 0 );
BOOST_ASSERT( traits::vector_size(e) >= n-1 );
BOOST_ASSERT( traits::vector_size(work.select(real_type())) >=
min_size_work( $CALL_MIN_SIZE ));
BOOST_ASSERT( traits::vector_size(work.select(integer_t())) >=
min_size_iwork( compz, n ));
detail::stedc( compz, n, traits::vector_storage(d),
traits::vector_storage(e), traits::matrix_storage(z),
traits::leading_dimension(z),
traits::vector_storage(work.select(real_type())),
traits::vector_size(work.select(real_type())),
traits::vector_storage(work.select(integer_t())),
traits::vector_size(work.select(integer_t())), info );
}
number_t* calculator::calculate( const std::string& expression, const bool debug)
{
std::stringstream postfix(expression);
std::string s;
try
{
while ( postfix >> s )
{
number_t* n = stringToNumber(s);
if( n != nullptr )
stack_ << n;
else
{
number_t* el1 = nullptr;
number_t* el2 = nullptr;
stack_ >> el2; /* Right */
stack_ >> el1; /* Left */
if (debug)
{
std::cout << "( ";
el1->who();
std::cout << " : ";
el1->toStream();
std::cout << " ) " << s[0] << " ( ";
el2->who();
std::cout << " : ";
el2->toStream();
std::cout << " )" << std::endl;
}
try
{
switch( s[0] )
{
case '+': stack_ << (*el1 + *el2); break;
case '-': stack_ << (*el1 - *el2); break;
case '*': stack_ << (*el1 * *el2); break;
case '/': stack_ << (*el1 / *el2); break;
default: throw badSyntaxException(s);
}
}
catch (const zeroDivisionException &e)
{
std::string response;
std::cout << e.what() << "\nDivide by 1 ? [y/n]: ";
std::getline(std::cin, response);
if (response.size()==1 && (response[0] == 'y' || response[0] == 'Y'))
stack_ << (*el1 / integer_t(1));
else
return nullptr;
}
if (el1 != nullptr)
delete el1;
if (el2 != nullptr)
delete el2;
}
}
if (stack_.size() > 1)
throw notEmptyStack();
return stack_.pop();
}
catch (const badPos &e)
{
std::cerr << "Internal stack_ error: " << e.what() << std::endl;
}
catch (const emptyStack &e)
{
std::cerr << "Syntax error (" << e.what() << ")" << std::endl;
}
catch (const notEmptyStack &e)
{
std::cerr << e.what() << std::endl;
while (stack_.size() > 1)
delete stack_.pop();
}
catch (const std::exception &e)
{
std::cerr << e.what() << std::endl;
}
return nullptr;
}
