26#if defined (HAVE_CONFIG_H)
126 "real matrix",
"real scalar");
138 "real matrix",
"real scalar");
164 "real matrix",
"complex scalar");
180 "real matrix",
"complex scalar");
330 error (
"diag: expecting vector argument");
334 return mat.
diag (m, n);
460 ::warning (
"range error for conversion to character value");
465 chm(i) =
static_cast<char> (ival);
482 os <<
"# ndims: " << dv.
ndims () <<
"\n";
484 for (
int i=0; i < dv.
ndims (); i++)
493 os <<
"# rows: " <<
rows () <<
"\n"
494 <<
"# columns: " <<
columns () <<
"\n";
507 keywords[0] =
"ndims";
508 keywords[1] =
"rows";
514 error (
"load: failed to extract number of rows and columns");
519 char *prev_locale = std::setlocale (LC_ALL,
nullptr);
520 std::string old_locale (prev_locale ? prev_locale :
"");
521 std::setlocale (LC_ALL,
"C");
523 ([&old_locale] () { std::setlocale (LC_ALL, old_locale.c_str ()); });
527 int mdims =
static_cast<int> (val);
530 error (
"load: failed to extract number of dimensions");
535 for (
int i = 0; i < mdims; i++)
539 error (
"load: failed to read dimensions");
546 error (
"load: failed to load matrix constant");
550 else if (kw ==
"rows")
556 error (
"load: failed to extract number of rows and columns");
558 if (nr > 0 && nc > 0)
563 error (
"load: failed to load matrix constant");
567 else if (nr == 0 || nc == 0)
587 int32_t tmp = - dv.
ndims ();
588 os.write (
reinterpret_cast<char *
> (&tmp), 4);
589 for (
int i = 0; i < dv.
ndims (); i++)
592 os.write (
reinterpret_cast<char *
> (&tmp), 4);
601 warning (
"save: some values too large to save as floats --");
602 warning (
"save: saving as doubles instead");
607 else if (dv.
numel () > 8192)
609 double max_val, min_val;
614 const double *mtmp = m.
data ();
626 if (! is.read (
reinterpret_cast<char *
> (&mdims), 4))
637 for (
int i = 0; i < mdims; i++)
639 if (! is.read (
reinterpret_cast<char *
> (&di), 4))
658 if (! is.read (
reinterpret_cast<char *
> (&tmp), 1))
675 if (! is.read (
reinterpret_cast<char *
> (&nc), 4))
679 if (! is.read (
reinterpret_cast<char *
> (&tmp), 1))
700#if defined (HAVE_HDF5)
707 int rank = dv.
ndims ();
708 hid_t space_hid, data_hid;
709 space_hid = data_hid = -1;
715 for (
int i = 0; i < rank; i++)
716 hdims[i] = dv(rank-i-1);
718 space_hid = H5Screate_simple (rank, hdims,
nullptr);
720 if (space_hid < 0)
return false;
722 hid_t save_type_hid = H5T_NATIVE_DOUBLE;
728 warning (
"save: some values too large to save as floats --");
729 warning (
"save: saving as doubles instead");
732 save_type_hid = H5T_NATIVE_FLOAT;
734#if defined (HAVE_HDF5_INT2FLOAT_CONVERSIONS)
738 double max_val, min_val;
746#if defined (HAVE_HDF5_18)
747 data_hid = H5Dcreate (loc_id,
name, save_type_hid, space_hid,
750 data_hid = H5Dcreate (loc_id,
name, save_type_hid, space_hid,
755 H5Sclose (space_hid);
764 H5Sclose (space_hid);
767 octave_unused_parameter (loc_id);
768 octave_unused_parameter (
name);
769 octave_unused_parameter (save_as_floats);
782#if defined (HAVE_HDF5)
791#if defined (HAVE_HDF5_18)
794 hid_t data_hid = H5Dopen (loc_id,
name);
796 hid_t space_id = H5Dget_space (data_hid);
798 hsize_t rank = H5Sget_simple_extent_ndims (space_id);
810 H5Sget_simple_extent_dims (space_id, hdims, maxdims);
822 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--)
839 octave_unused_parameter (loc_id);
840 octave_unused_parameter (
name);
850 bool pr_as_read_syntax)
const
861 mxDouble *pd =
static_cast<mxDouble *
> (retval->
get_data ());
863 mwSize nel =
numel ();
867 for (mwIndex i = 0; i < nel; i++)
887 if (tmp.imag () == 0.0)
888 rr.
xelem (i) = tmp.real ();
902 rc.
xelem (j) = fcn (a(j));
925#define ARRAY_METHOD_MAPPER(UMAP, FCN) \
926 case umap_ ## UMAP: \
927 return octave_value (matrix.FCN ())
934#define ARRAY_MAPPER(UMAP, TYPE, FCN) \
935 case umap_ ## UMAP: \
936 return octave_value (matrix.map<TYPE> (FCN))
938#define RC_ARRAY_MAPPER(UMAP, TYPE, FCN) \
939 case umap_ ## UMAP: \
940 return do_rc_map (matrix, FCN)
1001 return str_conv.
map (umap);
void swap_bytes< 4 >(void *ptr)
charNDArray max(char d, const charNDArray &m)
T & xelem(octave_idx_type n)
Size of the specified dimension.
OCTARRAY_API Array< T, Alloc > squeeze(void) const
Chop off leading singleton dimensions.
octave_idx_type numel(void) const
Number of elements in the array.
const dim_vector & dims(void) const
Return a const-reference so that dims ()(i) works efficiently.
T & elem(octave_idx_type n)
Size of the specified dimension.
octave_idx_type rows(void) const
OCTARRAY_API void resize(const dim_vector &dv, const T &rfv)
Size of the specified dimension.
octave_idx_type columns(void) const
const T * data(void) const
Size of the specified dimension.
OCTARRAY_API T * fortran_vec(void)
Size of the specified dimension.
Array< T, Alloc > reshape(octave_idx_type nr, octave_idx_type nc) const
Size of the specified dimension.
int ndims(void) const
Size of the specified dimension.
OCTARRAY_API sortmode issorted(sortmode mode=UNSORTED) const
Ordering is auto-detected or can be specified.
OCTARRAY_API sortmode is_sorted_rows(sortmode mode=UNSORTED) const
Ordering is auto-detected or can be specified.
MArray< T > reshape(const dim_vector &new_dims) const
OCTAVE_API Matrix diag(octave_idx_type k=0) const
OCTAVE_API bool any_element_is_nan(void) const
OCTAVE_API bool any_element_not_one_or_zero(void) const
OCTAVE_API bool all_integers(double &max_val, double &min_val) const
OCTAVE_API bool too_large_for_float(void) const
NDArray squeeze(void) const
Vector representing the dimensions (size) of an Array.
octave_idx_type numel(int n=0) const
Number of elements that a matrix with this dimensions would have.
void resize(int n, int fill_value=0)
octave_idx_type ndims(void) const
Number of dimensions.
void * get_data(void) const
OCTAVE_API Array< octave_idx_type > as_array(void) const
octave_idx_type extent(octave_idx_type n) const
octave_idx_type numel(void) const
octave::idx_vector * idx_cache
octave_value diag(octave_idx_type k=0) const
sortmode issorted(sortmode mode=UNSORTED) const
sortmode is_sorted_rows(sortmode mode=UNSORTED) const
octave_value sort(octave_idx_type dim=0, sortmode mode=ASCENDING) const
octave_value squeeze(void) const
Array< octave_idx_type > sort_rows_idx(sortmode mode=ASCENDING) const
octave_value reshape(const dim_vector &new_dims) const
dim_vector dims(void) const
octave_idx_type columns(void) const
int current_print_indent_level(void) const
virtual octave_value map(unary_mapper_t) const
virtual octave_value convert_to_str(bool pad=false, bool force=false, char type='\'') const
OCTINTERP_API void warn_load(const char *type) const
octave_idx_type rows(void) const
friend class octave_value
OCTINTERP_API void warn_save(const char *type) const
static int static_type_id(void)
octave_value sort(octave_idx_type dim=0, sortmode mode=ASCENDING) const
Array< octave_idx_type > sort_rows_idx(sortmode mode=ASCENDING) const
FloatComplexMatrix float_complex_matrix_value(bool=false) const
boolNDArray bool_array_value(bool warn=false) const
octave_value as_int32(void) const
Array< octave_idx_type > sort_rows_idx(sortmode mode=ASCENDING) const
SparseMatrix sparse_matrix_value(bool=false) const
bool load_ascii(std::istream &is)
octave_value as_uint32(void) const
FloatComplex float_complex_value(bool=false) const
float float_value(bool=false) const
octave_value as_int64(void) const
octave_value as_uint8(void) const
octave_value as_double(void) const
charNDArray char_array_value(bool=false) const
FloatMatrix float_matrix_value(bool=false) const
bool save_binary(std::ostream &os, bool save_as_floats)
bool save_ascii(std::ostream &os)
SparseComplexMatrix sparse_complex_matrix_value(bool=false) const
FloatComplexNDArray float_complex_array_value(bool=false) const
bool load_binary(std::istream &is, bool swap, octave::mach_info::float_format fmt)
type_conv_info numeric_demotion_function(void) const
void print_raw(std::ostream &os, bool pr_as_read_syntax=false) const
octave_value sort(octave_idx_type dim=0, sortmode mode=ASCENDING) const
bool save_hdf5(octave_hdf5_id loc_id, const char *name, bool save_as_floats)
octave_base_value * try_narrowing_conversion(void)
Complex complex_value(bool=false) const
ComplexNDArray complex_array_value(bool=false) const
octave_value reshape(const dim_vector &new_dims) const
Matrix matrix_value(bool=false) const
octave_value as_int8(void) const
octave_value diag(octave_idx_type k=0) const
octave_value map(unary_mapper_t umap) const
mxArray * as_mxArray(bool interleaved) const
octave_value squeeze(void) const
bool load_hdf5(octave_hdf5_id loc_id, const char *name)
octave_value as_int16(void) const
sortmode issorted(sortmode mode=UNSORTED) const
ComplexMatrix complex_matrix_value(bool=false) const
FloatNDArray float_array_value(bool=false) const
octave_value convert_to_str_internal(bool pad, bool force, char type) const
sortmode is_sorted_rows(sortmode mode=UNSORTED) const
octave_value as_uint64(void) const
octave_value as_single(void) const
NDArray array_value(bool=false) const
octave_value as_uint16(void) const
double double_value(bool=false) const
octave_value map(octave_base_value::unary_mapper_t umap) const
const octave_hdf5_id octave_H5P_DEFAULT
const octave_hdf5_id octave_H5S_ALL
void read_doubles(std::istream &is, double *data, save_type type, octave_idx_type len, bool swap, octave::mach_info::float_format fmt)
void write_doubles(std::ostream &os, const double *data, save_type type, octave_idx_type len)
void warning(const char *fmt,...)
void error(const char *fmt,...)
#define panic_impossible()
void err_invalid_conversion(const std::string &from, const std::string &to)
void warn_logical_conversion(void)
void warn_implicit_conversion(const char *id, const char *from, const char *to)
intNDArray< octave_int16 > int16NDArray
intNDArray< octave_int32 > int32NDArray
intNDArray< octave_int64 > int64NDArray
intNDArray< octave_int8 > int8NDArray
float lo_ieee_float_nan_value(void)
F77_RET_T const F77_DBLE const F77_DBLE F77_DBLE * d
int save_hdf5_empty(octave_hdf5_id loc_id, const char *name, const dim_vector &d)
int load_hdf5_empty(octave_hdf5_id loc_id, const char *name, dim_vector &d)
octave_hdf5_id save_type_to_hdf5(save_type st)
std::string extract_keyword(std::istream &is, const char *keyword, const bool next_only)
OCTAVE_NAMESPACE_BEGIN save_type get_save_type(double, double)
class OCTAVE_API boolNDArray
class OCTAVE_API DiagMatrix
class OCTAVE_API ComplexMatrix
class OCTAVE_API SparseMatrix
class OCTAVE_API FloatComplexMatrix
class OCTAVE_API FloatMatrix
class OCTAVE_API ComplexNDArray
class OCTAVE_API SparseComplexMatrix
class OCTAVE_API FloatComplexNDArray
class OCTAVE_API FloatNDArray
std::complex< double > erfi(std::complex< double > z, double relerr=0)
std::complex< double > erfc(std::complex< double > z, double relerr=0)
std::complex< double > erfcx(std::complex< double > z, double relerr=0)
std::complex< double > erf(std::complex< double > z, double relerr=0)
Complex atan(const Complex &x)
Complex rc_acos(double x)
Complex log1p(const Complex &x)
Complex acos(const Complex &x)
Complex asin(const Complex &x)
Complex rc_log2(double x)
Complex erfc(const Complex &x)
Complex rc_sqrt(double x)
Complex rc_atanh(double x)
Complex rc_acosh(double x)
Complex rc_log1p(double x)
Complex rc_log10(double x)
Complex rc_lgamma(double x)
std::complex< T > ceil(const std::complex< T > &x)
std::complex< T > floor(const std::complex< T > &x)
Complex rc_asin(double x)
Complex log2(const Complex &x)
Complex erf(const Complex &x)
Complex expm1(const Complex &x)
void err_nan_to_logical_conversion(void)
void err_nan_to_character_conversion(void)
std::complex< double > Complex
std::complex< float > FloatComplex
#define OCTAVE_LOCAL_BUFFER(T, buf, size)
#define DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA(t, n, c)
static octave_base_value * default_numeric_demotion_function(const octave_base_value &a)
static octave_value do_rc_map(const NDArray &a, Complex(&fcn)(double))
#define RC_ARRAY_MAPPER(UMAP, TYPE, FCN)
#define ARRAY_MAPPER(UMAP, TYPE, FCN)
#define ARRAY_METHOD_MAPPER(UMAP, FCN)
void octave_print_internal(std::ostream &os, const float_display_format &fmt, bool d, bool pr_as_read_syntax)
intNDArray< octave_uint16 > uint16NDArray
intNDArray< octave_uint32 > uint32NDArray
intNDArray< octave_uint64 > uint64NDArray
intNDArray< octave_uint8 > uint8NDArray