Mercurial > jwe > octave
view liboctave/array/dNDArray.cc @ 21100:e39e05d90788
Switch gripe_XXX to either err_XXX or warn_XXX naming scheme.
* libinterp/corefcn/errwarn.h, libinterp/corefcn/errwarn.cc: New header and .cc
file with common errors and warnings for libinterp.
* libinterp/corefcn/module.mk: Add errwarn.h, errwarn.cc to build system.
* liboctave/util/lo-array-errwarn.h, liboctave/util/lo-array-errwarn.cc: New
header and .cc file with common errors and warnings for liboctave.
* liboctave/util/module.mk: Add lo-array-errwarn.h, lo-array-errwarn.cc to
build system.
* lo-array-gripes.h: #include "lo-array-errwarn.h" for access to class
index_exception. Remove const char *error_id_XXX prototypes.
* lo-array-gripes.cc: Remove const char *error_id_XXX initializations.
Remove index_exception method definitions.
* Cell.cc, __pchip_deriv__.cc, __qp__.cc, balance.cc, betainc.cc, cellfun.cc,
daspk.cc, dasrt.cc, dassl.cc, data.cc, debug.cc, defaults.cc, det.cc,
dirfns.cc, eig.cc, fft.cc, fft2.cc, fftn.cc, find.cc, gammainc.cc, gcd.cc,
getgrent.cc, getpwent.cc, graphics.in.h, help.cc, hess.cc, hex2num.cc,
input.cc, inv.cc, jit-typeinfo.cc, load-save.cc, lookup.cc, ls-hdf5.cc,
ls-mat-ascii.cc, ls-mat4.cc, ls-mat5.cc, ls-oct-binary.cc, ls-oct-text.cc,
lsode.cc, lu.cc, luinc.cc, max.cc, mgorth.cc, oct-hist.cc, oct-procbuf.cc,
oct-stream.cc, oct.h, pager.cc, pinv.cc, pr-output.cc, quad.cc, qz.cc, rand.cc,
rcond.cc, regexp.cc, schur.cc, sparse-xdiv.cc, sparse-xpow.cc, sparse.cc,
spparms.cc, sqrtm.cc, str2double.cc, strfind.cc, strfns.cc, sub2ind.cc, svd.cc,
sylvester.cc, syscalls.cc, typecast.cc, utils.cc, variables.cc, xdiv.cc,
xnorm.cc, xpow.cc, __eigs__.cc, __glpk__.cc, __magick_read__.cc,
__osmesa_print__.cc, audiodevinfo.cc, audioread.cc, chol.cc, dmperm.cc,
fftw.cc, qr.cc, symbfact.cc, symrcm.cc, ov-base-diag.cc, ov-base-int.cc,
ov-base-mat.cc, ov-base-scalar.cc, ov-base-sparse.cc, ov-base.cc,
ov-bool-mat.cc, ov-bool-sparse.cc, ov-bool.cc, ov-builtin.cc, ov-cell.cc,
ov-ch-mat.cc, ov-class.cc, ov-complex.cc, ov-complex.h, ov-cs-list.cc,
ov-cx-diag.cc, ov-cx-mat.cc, ov-cx-sparse.cc, ov-fcn-handle.cc,
ov-fcn-inline.cc, ov-float.cc, ov-float.h, ov-flt-complex.cc, ov-flt-complex.h,
ov-flt-cx-diag.cc, ov-flt-cx-mat.cc, ov-flt-re-mat.cc, ov-int16.cc,
ov-int32.cc, ov-int64.cc, ov-int8.cc, ov-intx.h, ov-mex-fcn.cc, ov-perm.cc,
ov-range.cc, ov-re-mat.cc, ov-re-sparse.cc, ov-scalar.cc, ov-scalar.h,
ov-str-mat.cc, ov-struct.cc, ov-type-conv.h, ov-uint16.cc, ov-uint32.cc,
ov-uint64.cc, ov-uint8.cc, ov-usr-fcn.cc, ov.cc, op-b-b.cc, op-b-bm.cc,
op-b-sbm.cc, op-bm-b.cc, op-bm-bm.cc, op-bm-sbm.cc, op-cdm-cdm.cc, op-cell.cc,
op-chm.cc, op-class.cc, op-cm-cm.cc, op-cm-cs.cc, op-cm-m.cc, op-cm-s.cc,
op-cm-scm.cc, op-cm-sm.cc, op-cs-cm.cc, op-cs-cs.cc, op-cs-m.cc, op-cs-s.cc,
op-cs-scm.cc, op-cs-sm.cc, op-dm-dm.cc, op-dm-scm.cc, op-dm-sm.cc,
op-dms-template.cc, op-double-conv.cc, op-fcdm-fcdm.cc, op-fcdm-fdm.cc,
op-fcm-fcm.cc, op-fcm-fcs.cc, op-fcm-fm.cc, op-fcm-fs.cc, op-fcn.cc,
op-fcs-fcm.cc, op-fcs-fcs.cc, op-fcs-fm.cc, op-fcs-fs.cc, op-fdm-fdm.cc,
op-float-conv.cc, op-fm-fcm.cc, op-fm-fcs.cc, op-fm-fm.cc, op-fm-fs.cc,
op-fs-fcm.cc, op-fs-fcs.cc, op-fs-fm.cc, op-fs-fs.cc, op-i16-i16.cc,
op-i32-i32.cc, op-i64-i64.cc, op-i8-i8.cc, op-int-concat.cc, op-int-conv.cc,
op-int.h, op-m-cm.cc, op-m-cs.cc, op-m-m.cc, op-m-s.cc, op-m-scm.cc,
op-m-sm.cc, op-pm-pm.cc, op-pm-scm.cc, op-pm-sm.cc, op-range.cc, op-s-cm.cc,
op-s-cs.cc, op-s-m.cc, op-s-s.cc, op-s-scm.cc, op-s-sm.cc, op-sbm-b.cc,
op-sbm-bm.cc, op-sbm-sbm.cc, op-scm-cm.cc, op-scm-cs.cc, op-scm-m.cc,
op-scm-s.cc, op-scm-scm.cc, op-scm-sm.cc, op-sm-cm.cc, op-sm-cs.cc, op-sm-m.cc,
op-sm-s.cc, op-sm-scm.cc, op-sm-sm.cc, op-str-m.cc, op-str-s.cc, op-str-str.cc,
op-struct.cc, op-ui16-ui16.cc, op-ui32-ui32.cc, op-ui64-ui64.cc, op-ui8-ui8.cc,
ops.h, lex.ll, pt-assign.cc, pt-eval.cc, pt-idx.cc, pt-loop.cc, pt-mat.cc,
pt-stmt.cc, Array-util.cc, Array-util.h, Array.cc, CColVector.cc,
CDiagMatrix.cc, CMatrix.cc, CNDArray.cc, CRowVector.cc, CSparse.cc,
DiagArray2.cc, MDiagArray2.cc, MSparse.cc, PermMatrix.cc, Range.cc, Sparse.cc,
dColVector.cc, dDiagMatrix.cc, dMatrix.cc, dNDArray.cc, dRowVector.cc,
dSparse.cc, fCColVector.cc, fCDiagMatrix.cc, fCMatrix.cc, fCNDArray.cc,
fCRowVector.cc, fColVector.cc, fDiagMatrix.cc, fMatrix.cc, fNDArray.cc,
fRowVector.cc, idx-vector.cc, CmplxGEPBAL.cc, dbleGEPBAL.cc, fCmplxGEPBAL.cc,
floatGEPBAL.cc, Sparse-diag-op-defs.h, Sparse-op-defs.h, Sparse-perm-op-defs.h,
mx-inlines.cc, mx-op-defs.h, oct-binmap.h:
Replace 'include "gripes.h"' with 'include "errwarn.h". Change all gripe_XXX
to err_XXX or warn_XXX or errwarn_XXX.
author | Rik <rik@octave.org> |
---|---|
date | Mon, 18 Jan 2016 18:28:06 -0800 |
parents | 1edf15793cac |
children | 7cac4e7458f2 |
line wrap: on
line source
// N-D Array manipulations. /* Copyright (C) 1996-2015 John W. Eaton Copyright (C) 2009 VZLU Prague, a.s. This file is part of Octave. Octave is free software; 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 3 of the License, or (at your option) any later version. Octave 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 General Public License for more details. You should have received a copy of the GNU General Public License along with Octave; see the file COPYING. If not, see <http://www.gnu.org/licenses/>. */ #ifdef HAVE_CONFIG_H #include <config.h> #endif #include <cfloat> #include <vector> #include "Array-util.h" #include "dNDArray.h" #include "f77-fcn.h" #include "functor.h" #include "lo-error.h" #include "lo-ieee.h" #include "lo-mappers.h" #include "mx-base.h" #include "mx-op-defs.h" #include "oct-fftw.h" #include "oct-locbuf.h" #include "bsxfun-defs.cc" NDArray::NDArray (const Array<octave_idx_type>& a, bool zero_based, bool negative_to_nan) { const octave_idx_type *pa = a.fortran_vec (); resize (a.dims ()); double *ptmp = fortran_vec (); if (negative_to_nan) { double nan_val = lo_ieee_nan_value (); if (zero_based) for (octave_idx_type i = 0; i < a.numel (); i++) { double val = static_cast<double> (pa[i] + static_cast<octave_idx_type> (1)); if (val <= 0) ptmp[i] = nan_val; else ptmp[i] = val; } else for (octave_idx_type i = 0; i < a.numel (); i++) { double val = static_cast<double> (pa[i]); if (val <= 0) ptmp[i] = nan_val; else ptmp[i] = val; } } else { if (zero_based) for (octave_idx_type i = 0; i < a.numel (); i++) ptmp[i] = static_cast<double> (pa[i] + static_cast<octave_idx_type> (1)); else for (octave_idx_type i = 0; i < a.numel (); i++) ptmp[i] = static_cast<double> (pa[i]); } } NDArray::NDArray (const charNDArray& a) : MArray<double> (a.dims ()) { octave_idx_type n = a.numel (); for (octave_idx_type i = 0; i < n; i++) xelem (i) = static_cast<unsigned char> (a(i)); } #if defined (HAVE_FFTW) ComplexNDArray NDArray::fourier (int dim) const { dim_vector dv = dims (); if (dim > dv.length () || dim < 0) return ComplexNDArray (); octave_idx_type stride = 1; octave_idx_type n = dv(dim); for (int i = 0; i < dim; i++) stride *= dv(i); octave_idx_type howmany = numel () / dv(dim); howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); octave_idx_type nloop = (stride == 1 ? 1 : numel () / dv(dim) / stride); octave_idx_type dist = (stride == 1 ? n : 1); const double *in (fortran_vec ()); ComplexNDArray retval (dv); Complex *out (retval.fortran_vec ()); // Need to be careful here about the distance between fft's for (octave_idx_type k = 0; k < nloop; k++) octave_fftw::fft (in + k * stride * n, out + k * stride * n, n, howmany, stride, dist); return retval; } ComplexNDArray NDArray::ifourier (int dim) const { dim_vector dv = dims (); if (dim > dv.length () || dim < 0) return ComplexNDArray (); octave_idx_type stride = 1; octave_idx_type n = dv(dim); for (int i = 0; i < dim; i++) stride *= dv(i); octave_idx_type howmany = numel () / dv(dim); howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); octave_idx_type nloop = (stride == 1 ? 1 : numel () / dv(dim) / stride); octave_idx_type dist = (stride == 1 ? n : 1); ComplexNDArray retval (*this); Complex *out (retval.fortran_vec ()); // Need to be careful here about the distance between fft's for (octave_idx_type k = 0; k < nloop; k++) octave_fftw::ifft (out + k * stride * n, out + k * stride * n, n, howmany, stride, dist); return retval; } ComplexNDArray NDArray::fourier2d (void) const { dim_vector dv = dims (); if (dv.length () < 2) return ComplexNDArray (); dim_vector dv2 (dv(0), dv(1)); const double *in = fortran_vec (); ComplexNDArray retval (dv); Complex *out = retval.fortran_vec (); octave_idx_type howmany = numel () / dv(0) / dv(1); octave_idx_type dist = dv(0) * dv(1); for (octave_idx_type i=0; i < howmany; i++) octave_fftw::fftNd (in + i*dist, out + i*dist, 2, dv2); return retval; } ComplexNDArray NDArray::ifourier2d (void) const { dim_vector dv = dims (); if (dv.length () < 2) return ComplexNDArray (); dim_vector dv2 (dv(0), dv(1)); ComplexNDArray retval (*this); Complex *out = retval.fortran_vec (); octave_idx_type howmany = numel () / dv(0) / dv(1); octave_idx_type dist = dv(0) * dv(1); for (octave_idx_type i=0; i < howmany; i++) octave_fftw::ifftNd (out + i*dist, out + i*dist, 2, dv2); return retval; } ComplexNDArray NDArray::fourierNd (void) const { dim_vector dv = dims (); int rank = dv.length (); const double *in (fortran_vec ()); ComplexNDArray retval (dv); Complex *out (retval.fortran_vec ()); octave_fftw::fftNd (in, out, rank, dv); return retval; } ComplexNDArray NDArray::ifourierNd (void) const { dim_vector dv = dims (); int rank = dv.length (); ComplexNDArray tmp (*this); Complex *in (tmp.fortran_vec ()); ComplexNDArray retval (dv); Complex *out (retval.fortran_vec ()); octave_fftw::ifftNd (in, out, rank, dv); return retval; } #else extern "C" { // Note that the original complex fft routines were not written for // double complex arguments. They have been modified by adding an // implicit double precision (a-h,o-z) statement at the beginning of // each subroutine. F77_RET_T F77_FUNC (zffti, ZFFTI) (const octave_idx_type&, Complex*); F77_RET_T F77_FUNC (zfftf, ZFFTF) (const octave_idx_type&, Complex*, Complex*); F77_RET_T F77_FUNC (zfftb, ZFFTB) (const octave_idx_type&, Complex*, Complex*); } ComplexNDArray NDArray::fourier (int dim) const { dim_vector dv = dims (); if (dim > dv.length () || dim < 0) return ComplexNDArray (); ComplexNDArray retval (dv); octave_idx_type npts = dv(dim); octave_idx_type nn = 4*npts+15; Array<Complex> wsave (dim_vector (nn, 1)); Complex *pwsave = wsave.fortran_vec (); OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); octave_idx_type stride = 1; for (int i = 0; i < dim; i++) stride *= dv(i); octave_idx_type howmany = numel () / npts; howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); octave_idx_type dist = (stride == 1 ? npts : 1); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type k = 0; k < nloop; k++) { for (octave_idx_type j = 0; j < howmany; j++) { octave_quit (); for (octave_idx_type i = 0; i < npts; i++) tmp[i] = elem ((i + k*npts)*stride + j*dist); F77_FUNC (zfftf, ZFFTF) (npts, tmp, pwsave); for (octave_idx_type i = 0; i < npts; i++) retval((i + k*npts)*stride + j*dist) = tmp[i]; } } return retval; } ComplexNDArray NDArray::ifourier (int dim) const { dim_vector dv = dims (); if (dim > dv.length () || dim < 0) return ComplexNDArray (); ComplexNDArray retval (dv); octave_idx_type npts = dv(dim); octave_idx_type nn = 4*npts+15; Array<Complex> wsave (dim_vector (nn, 1)); Complex *pwsave = wsave.fortran_vec (); OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); octave_idx_type stride = 1; for (int i = 0; i < dim; i++) stride *= dv(i); octave_idx_type howmany = numel () / npts; howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); octave_idx_type dist = (stride == 1 ? npts : 1); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type k = 0; k < nloop; k++) { for (octave_idx_type j = 0; j < howmany; j++) { octave_quit (); for (octave_idx_type i = 0; i < npts; i++) tmp[i] = elem ((i + k*npts)*stride + j*dist); F77_FUNC (zfftb, ZFFTB) (npts, tmp, pwsave); for (octave_idx_type i = 0; i < npts; i++) retval((i + k*npts)*stride + j*dist) = tmp[i] / static_cast<double> (npts); } } return retval; } ComplexNDArray NDArray::fourier2d (void) const { dim_vector dv = dims (); dim_vector dv2 (dv(0), dv(1)); int rank = 2; ComplexNDArray retval (*this); octave_idx_type stride = 1; for (int i = 0; i < rank; i++) { octave_idx_type npts = dv2(i); octave_idx_type nn = 4*npts+15; Array<Complex> wsave (dim_vector (nn, 1)); Complex *pwsave = wsave.fortran_vec (); Array<Complex> row (dim_vector (npts, 1)); Complex *prow = row.fortran_vec (); octave_idx_type howmany = numel () / npts; howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); octave_idx_type dist = (stride == 1 ? npts : 1); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type k = 0; k < nloop; k++) { for (octave_idx_type j = 0; j < howmany; j++) { octave_quit (); for (octave_idx_type l = 0; l < npts; l++) prow[l] = retval((l + k*npts)*stride + j*dist); F77_FUNC (zfftf, ZFFTF) (npts, prow, pwsave); for (octave_idx_type l = 0; l < npts; l++) retval((l + k*npts)*stride + j*dist) = prow[l]; } } stride *= dv2(i); } return retval; } ComplexNDArray NDArray::ifourier2d (void) const { dim_vector dv = dims (); dim_vector dv2 (dv(0), dv(1)); int rank = 2; ComplexNDArray retval (*this); octave_idx_type stride = 1; for (int i = 0; i < rank; i++) { octave_idx_type npts = dv2(i); octave_idx_type nn = 4*npts+15; Array<Complex> wsave (dim_vector (nn, 1)); Complex *pwsave = wsave.fortran_vec (); Array<Complex> row (dim_vector (npts, 1)); Complex *prow = row.fortran_vec (); octave_idx_type howmany = numel () / npts; howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); octave_idx_type dist = (stride == 1 ? npts : 1); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type k = 0; k < nloop; k++) { for (octave_idx_type j = 0; j < howmany; j++) { octave_quit (); for (octave_idx_type l = 0; l < npts; l++) prow[l] = retval((l + k*npts)*stride + j*dist); F77_FUNC (zfftb, ZFFTB) (npts, prow, pwsave); for (octave_idx_type l = 0; l < npts; l++) retval((l + k*npts)*stride + j*dist) = prow[l] / static_cast<double> (npts); } } stride *= dv2(i); } return retval; } ComplexNDArray NDArray::fourierNd (void) const { dim_vector dv = dims (); int rank = dv.length (); ComplexNDArray retval (*this); octave_idx_type stride = 1; for (int i = 0; i < rank; i++) { octave_idx_type npts = dv(i); octave_idx_type nn = 4*npts+15; Array<Complex> wsave (dim_vector (nn, 1)); Complex *pwsave = wsave.fortran_vec (); Array<Complex> row (dim_vector (npts, 1)); Complex *prow = row.fortran_vec (); octave_idx_type howmany = numel () / npts; howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); octave_idx_type dist = (stride == 1 ? npts : 1); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type k = 0; k < nloop; k++) { for (octave_idx_type j = 0; j < howmany; j++) { octave_quit (); for (octave_idx_type l = 0; l < npts; l++) prow[l] = retval((l + k*npts)*stride + j*dist); F77_FUNC (zfftf, ZFFTF) (npts, prow, pwsave); for (octave_idx_type l = 0; l < npts; l++) retval((l + k*npts)*stride + j*dist) = prow[l]; } } stride *= dv(i); } return retval; } ComplexNDArray NDArray::ifourierNd (void) const { dim_vector dv = dims (); int rank = dv.length (); ComplexNDArray retval (*this); octave_idx_type stride = 1; for (int i = 0; i < rank; i++) { octave_idx_type npts = dv(i); octave_idx_type nn = 4*npts+15; Array<Complex> wsave (dim_vector (nn, 1)); Complex *pwsave = wsave.fortran_vec (); Array<Complex> row (dim_vector (npts, 1)); Complex *prow = row.fortran_vec (); octave_idx_type howmany = numel () / npts; howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); octave_idx_type dist = (stride == 1 ? npts : 1); F77_FUNC (zffti, ZFFTI) (npts, pwsave); for (octave_idx_type k = 0; k < nloop; k++) { for (octave_idx_type j = 0; j < howmany; j++) { octave_quit (); for (octave_idx_type l = 0; l < npts; l++) prow[l] = retval((l + k*npts)*stride + j*dist); F77_FUNC (zfftb, ZFFTB) (npts, prow, pwsave); for (octave_idx_type l = 0; l < npts; l++) retval((l + k*npts)*stride + j*dist) = prow[l] / static_cast<double> (npts); } } stride *= dv(i); } return retval; } #endif // unary operations boolNDArray NDArray::operator ! (void) const { if (any_element_is_nan ()) err_nan_to_logical_conversion (); return do_mx_unary_op<bool, double> (*this, mx_inline_not); } bool NDArray::any_element_is_negative (bool neg_zero) const { return (neg_zero ? test_all (xnegative_sign) : do_mx_check<double> (*this, mx_inline_any_negative)); } bool NDArray::any_element_is_positive (bool neg_zero) const { return (neg_zero ? test_all (xpositive_sign) : do_mx_check<double> (*this, mx_inline_any_positive)); } bool NDArray::any_element_is_nan (void) const { return do_mx_check<double> (*this, mx_inline_any_nan); } bool NDArray::any_element_is_inf_or_nan (void) const { return ! do_mx_check<double> (*this, mx_inline_all_finite); } bool NDArray::any_element_not_one_or_zero (void) const { return ! test_all (xis_one_or_zero); } bool NDArray::all_elements_are_zero (void) const { return test_all (xis_zero); } bool NDArray::all_elements_are_int_or_inf_or_nan (void) const { return test_all (xis_int_or_inf_or_nan); } // Return nonzero if any element of M is not an integer. Also extract // the largest and smallest values and return them in MAX_VAL and MIN_VAL. bool NDArray::all_integers (double& max_val, double& min_val) const { octave_idx_type nel = numel (); if (nel > 0) { max_val = elem (0); min_val = elem (0); } else return false; for (octave_idx_type i = 0; i < nel; i++) { double val = elem (i); if (val > max_val) max_val = val; if (val < min_val) min_val = val; if (! xisinteger (val)) return false; } return true; } bool NDArray::all_integers (void) const { return test_all (xisinteger); } bool NDArray::too_large_for_float (void) const { return test_any (xtoo_large_for_float); } // FIXME: this is not quite the right thing. boolNDArray NDArray::all (int dim) const { return do_mx_red_op<bool, double> (*this, dim, mx_inline_all); } boolNDArray NDArray::any (int dim) const { return do_mx_red_op<bool, double> (*this, dim, mx_inline_any); } NDArray NDArray::cumprod (int dim) const { return do_mx_cum_op<double, double> (*this, dim, mx_inline_cumprod); } NDArray NDArray::cumsum (int dim) const { return do_mx_cum_op<double, double> (*this, dim, mx_inline_cumsum); } NDArray NDArray::prod (int dim) const { return do_mx_red_op<double, double> (*this, dim, mx_inline_prod); } NDArray NDArray::sum (int dim) const { return do_mx_red_op<double, double> (*this, dim, mx_inline_sum); } NDArray NDArray::xsum (int dim) const { return do_mx_red_op<double, double> (*this, dim, mx_inline_xsum); } NDArray NDArray::sumsq (int dim) const { return do_mx_red_op<double, double> (*this, dim, mx_inline_sumsq); } NDArray NDArray::max (int dim) const { return do_mx_minmax_op<double> (*this, dim, mx_inline_max); } NDArray NDArray::max (Array<octave_idx_type>& idx_arg, int dim) const { return do_mx_minmax_op<double> (*this, idx_arg, dim, mx_inline_max); } NDArray NDArray::min (int dim) const { return do_mx_minmax_op<double> (*this, dim, mx_inline_min); } NDArray NDArray::min (Array<octave_idx_type>& idx_arg, int dim) const { return do_mx_minmax_op<double> (*this, idx_arg, dim, mx_inline_min); } NDArray NDArray::cummax (int dim) const { return do_mx_cumminmax_op<double> (*this, dim, mx_inline_cummax); } NDArray NDArray::cummax (Array<octave_idx_type>& idx_arg, int dim) const { return do_mx_cumminmax_op<double> (*this, idx_arg, dim, mx_inline_cummax); } NDArray NDArray::cummin (int dim) const { return do_mx_cumminmax_op<double> (*this, dim, mx_inline_cummin); } NDArray NDArray::cummin (Array<octave_idx_type>& idx_arg, int dim) const { return do_mx_cumminmax_op<double> (*this, idx_arg, dim, mx_inline_cummin); } NDArray NDArray::diff (octave_idx_type order, int dim) const { return do_mx_diff_op<double> (*this, dim, order, mx_inline_diff); } NDArray NDArray::concat (const NDArray& rb, const Array<octave_idx_type>& ra_idx) { if (rb.numel () > 0) insert (rb, ra_idx); return *this; } ComplexNDArray NDArray::concat (const ComplexNDArray& rb, const Array<octave_idx_type>& ra_idx) { ComplexNDArray retval (*this); if (rb.numel () > 0) retval.insert (rb, ra_idx); return retval; } charNDArray NDArray::concat (const charNDArray& rb, const Array<octave_idx_type>& ra_idx) { charNDArray retval (dims ()); octave_idx_type nel = numel (); for (octave_idx_type i = 0; i < nel; i++) { double d = elem (i); if (xisnan (d)) { (*current_liboctave_error_handler) ("invalid conversion from NaN to character"); return retval; } else { octave_idx_type ival = NINTbig (d); if (ival < 0 || ival > std::numeric_limits<unsigned char>::max ()) // FIXME: is there something better to do? Should we warn the user? ival = 0; retval.elem (i) = static_cast<char>(ival); } } if (rb.is_empty ()) return retval; retval.insert (rb, ra_idx); return retval; } NDArray real (const ComplexNDArray& a) { return do_mx_unary_op<double, Complex> (a, mx_inline_real); } NDArray imag (const ComplexNDArray& a) { return do_mx_unary_op<double, Complex> (a, mx_inline_imag); } NDArray& NDArray::insert (const NDArray& a, octave_idx_type r, octave_idx_type c) { Array<double>::insert (a, r, c); return *this; } NDArray& NDArray::insert (const NDArray& a, const Array<octave_idx_type>& ra_idx) { Array<double>::insert (a, ra_idx); return *this; } NDArray NDArray::abs (void) const { return do_mx_unary_map<double, double, std::abs> (*this); } boolNDArray NDArray::isnan (void) const { return do_mx_unary_map<bool, double, xisnan> (*this); } boolNDArray NDArray::isinf (void) const { return do_mx_unary_map<bool, double, xisinf> (*this); } boolNDArray NDArray::isfinite (void) const { return do_mx_unary_map<bool, double, xfinite> (*this); } void NDArray::increment_index (Array<octave_idx_type>& ra_idx, const dim_vector& dimensions, int start_dimension) { ::increment_index (ra_idx, dimensions, start_dimension); } octave_idx_type NDArray::compute_index (Array<octave_idx_type>& ra_idx, const dim_vector& dimensions) { return ::compute_index (ra_idx, dimensions); } NDArray NDArray::diag (octave_idx_type k) const { return MArray<double>::diag (k); } NDArray NDArray::diag (octave_idx_type m, octave_idx_type n) const { return MArray<double>::diag (m, n); } // This contains no information on the array structure !!! std::ostream& operator << (std::ostream& os, const NDArray& a) { octave_idx_type nel = a.numel (); for (octave_idx_type i = 0; i < nel; i++) { os << " "; octave_write_double (os, a.elem (i)); os << "\n"; } return os; } std::istream& operator >> (std::istream& is, NDArray& a) { octave_idx_type nel = a.numel (); if (nel > 0) { double tmp; for (octave_idx_type i = 0; i < nel; i++) { tmp = octave_read_value<double> (is); if (is) a.elem (i) = tmp; else goto done; } } done: return is; } MINMAX_FCNS (NDArray, double) NDS_CMP_OPS (NDArray, double) NDS_BOOL_OPS (NDArray, double) SND_CMP_OPS (double, NDArray) SND_BOOL_OPS (double, NDArray) NDND_CMP_OPS (NDArray, NDArray) NDND_BOOL_OPS (NDArray, NDArray) BSXFUN_STDOP_DEFS_MXLOOP (NDArray) BSXFUN_STDREL_DEFS_MXLOOP (NDArray) BSXFUN_OP_DEF_MXLOOP (pow, NDArray, mx_inline_pow) BSXFUN_OP2_DEF_MXLOOP (pow, ComplexNDArray, ComplexNDArray, NDArray, mx_inline_pow) BSXFUN_OP2_DEF_MXLOOP (pow, ComplexNDArray, NDArray, ComplexNDArray, mx_inline_pow)