Mercurial > octave
view libinterp/corefcn/sparse-xpow.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 | 6176560b03d9 |
children | f5b17eb2508b |
line wrap: on
line source
/* Copyright (C) 2004-2015 David Bateman Copyright (C) 1998-2004 Andy Adler 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 <cassert> #include <limits> #include "Array-util.h" #include "oct-cmplx.h" #include "quit.h" #include "error.h" #include "ovl.h" #include "utils.h" #include "dSparse.h" #include "CSparse.h" #include "ov-re-sparse.h" #include "ov-cx-sparse.h" #include "sparse-xpow.h" static inline int xisint (double x) { return (D_NINT (x) == x && ((x >= 0 && x < std::numeric_limits<int>::max ()) || (x <= 0 && x > std::numeric_limits<int>::min ()))); } // Safer pow functions. Only two make sense for sparse matrices, the // others should all promote to full matrices. octave_value xpow (const SparseMatrix& a, double b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be a square matrix. Use .^ for elementwise power."); if (static_cast<int> (b) != b) error ("use full(a) ^ full(b)"); int btmp = static_cast<int> (b); if (btmp == 0) { SparseMatrix tmp = SparseMatrix (nr, nr, nr); for (octave_idx_type i = 0; i < nr; i++) { tmp.data (i) = 1.0; tmp.ridx (i) = i; } for (octave_idx_type i = 0; i < nr + 1; i++) tmp.cidx (i) = i; retval = tmp; } else { SparseMatrix atmp; if (btmp < 0) { btmp = -btmp; octave_idx_type info; double rcond = 0.0; MatrixType mattyp (a); atmp = a.inverse (mattyp, info, rcond, 1); if (info == -1) warning ("inverse: matrix singular to machine\ precision, rcond = %g", rcond); } else atmp = a; SparseMatrix result (atmp); btmp--; while (btmp > 0) { if (btmp & 1) result = result * atmp; btmp >>= 1; if (btmp > 0) atmp = atmp * atmp; } retval = result; } return retval; } octave_value xpow (const SparseComplexMatrix& a, double b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (nr == 0 || nc == 0 || nr != nc) error ("for A^b, A must be a square matrix. Use .^ for elementwise power."); if (static_cast<int> (b) != b) error ("use full(a) ^ full(b)"); int btmp = static_cast<int> (b); if (btmp == 0) { SparseMatrix tmp = SparseMatrix (nr, nr, nr); for (octave_idx_type i = 0; i < nr; i++) { tmp.data (i) = 1.0; tmp.ridx (i) = i; } for (octave_idx_type i = 0; i < nr + 1; i++) tmp.cidx (i) = i; retval = tmp; } else { SparseComplexMatrix atmp; if (btmp < 0) { btmp = -btmp; octave_idx_type info; double rcond = 0.0; MatrixType mattyp (a); atmp = a.inverse (mattyp, info, rcond, 1); if (info == -1) warning ("inverse: matrix singular to machine\ precision, rcond = %g", rcond); } else atmp = a; SparseComplexMatrix result (atmp); btmp--; while (btmp > 0) { if (btmp & 1) result = result * atmp; btmp >>= 1; if (btmp > 0) atmp = atmp * atmp; } retval = result; } return retval; } // Safer pow functions that work elementwise for matrices. // // op2 \ op1: s m cs cm // +-- +---+---+----+----+ // scalar | | * | 3 | * | 9 | // +---+---+----+----+ // matrix | 1 | 4 | 7 | 10 | // +---+---+----+----+ // complex_scalar | * | 5 | * | 11 | // +---+---+----+----+ // complex_matrix | 2 | 6 | 8 | 12 | // +---+---+----+----+ // // * -> not needed. // FIXME: these functions need to be fixed so that things // like // // a = -1; b = [ 0, 0.5, 1 ]; r = a .^ b // // and // // a = -1; b = [ 0, 0.5, 1 ]; for i = 1:3, r(i) = a .^ b(i), end // // produce identical results. Also, it would be nice if -1^0.5 // produced a pure imaginary result instead of a complex number with a // small real part. But perhaps that's really a problem with the math // library... // Handle special case of scalar-sparse-matrix .^ sparse-matrix. // Forwarding to the scalar elem_xpow function and then converting the // result back to a sparse matrix is a bit wasteful but it does not // seem worth the effort to optimize -- how often does this case come up // in practice? template <class S, class SM> inline octave_value scalar_xpow (const S& a, const SM& b) { octave_value val = elem_xpow (a, b); if (val.is_complex_type ()) return SparseComplexMatrix (val.complex_matrix_value ()); else return SparseMatrix (val.matrix_value ()); } /* %!assert (sparse (2) .^ [3, 4], sparse ([8, 16])); %!assert (sparse (2i) .^ [3, 4], sparse ([-0-8i, 16])); */ // -*- 1 -*- octave_value elem_xpow (double a, const SparseMatrix& b) { octave_value retval; octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); double d1, d2; if (a < 0.0 && ! b.all_integers (d1, d2)) { Complex atmp (a); ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) { for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result(i, j) = std::pow (atmp, b(i,j)); } } retval = result; } else { Matrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) { for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result(i, j) = std::pow (a, b(i,j)); } } retval = result; } return retval; } // -*- 2 -*- octave_value elem_xpow (double a, const SparseComplexMatrix& b) { octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); Complex atmp (a); ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) { for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result(i, j) = std::pow (atmp, b(i,j)); } } return result; } // -*- 3 -*- octave_value elem_xpow (const SparseMatrix& a, double b) { // FIXME: What should a .^ 0 give? Matlab gives a // sparse matrix with same structure as a, which is strictly // incorrect. Keep compatibility. octave_value retval; octave_idx_type nz = a.nnz (); if (b <= 0.0) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); if (static_cast<int> (b) != b && a.any_element_is_negative ()) { ComplexMatrix result (nr, nc, Complex (std::pow (0.0, b))); // FIXME: avoid apparent GNU libm bug by // converting A and B to complex instead of just A. Complex btmp (b); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) { octave_quit (); Complex atmp (a.data (i)); result(a.ridx (i), j) = std::pow (atmp, btmp); } retval = octave_value (result); } else { Matrix result (nr, nc, (std::pow (0.0, b))); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) { octave_quit (); result(a.ridx (i), j) = std::pow (a.data (i), b); } retval = octave_value (result); } } else if (static_cast<int> (b) != b && a.any_element_is_negative ()) { SparseComplexMatrix result (a); for (octave_idx_type i = 0; i < nz; i++) { octave_quit (); // FIXME: avoid apparent GNU libm bug by // converting A and B to complex instead of just A. Complex atmp (a.data (i)); Complex btmp (b); result.data (i) = std::pow (atmp, btmp); } result.maybe_compress (true); retval = result; } else { SparseMatrix result (a); for (octave_idx_type i = 0; i < nz; i++) { octave_quit (); result.data (i) = std::pow (a.data (i), b); } result.maybe_compress (true); retval = result; } return retval; } // -*- 4 -*- octave_value elem_xpow (const SparseMatrix& a, const SparseMatrix& b) { octave_value retval; octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (a.numel () == 1 && b.numel () > 1) return scalar_xpow (a(0), b); if (nr != b_nr || nc != b_nc) err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); int convert_to_complex = 0; for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) { if (a.data(i) < 0.0) { double btmp = b (a.ridx (i), j); if (static_cast<int> (btmp) != btmp) { convert_to_complex = 1; goto done; } } } done: // This is a dumb operator for sparse matrices anyway, and there is // no sensible way to handle the 0.^0 versus the 0.^x cases. Therefore // allocate a full matrix filled for the 0.^0 case and shrink it later // as needed if (convert_to_complex) { SparseComplexMatrix complex_result (nr, nc, Complex (1.0, 0.0)); for (octave_idx_type j = 0; j < nc; j++) { for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) { octave_quit (); complex_result.xelem (a.ridx (i), j) = std::pow (Complex (a.data (i)), Complex (b(a.ridx (i), j))); } } complex_result.maybe_compress (true); retval = complex_result; } else { SparseMatrix result (nr, nc, 1.0); for (octave_idx_type j = 0; j < nc; j++) { for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) { octave_quit (); result.xelem (a.ridx (i), j) = std::pow (a.data (i), b(a.ridx (i), j)); } } result.maybe_compress (true); retval = result; } return retval; } // -*- 5 -*- octave_value elem_xpow (const SparseMatrix& a, const Complex& b) { octave_value retval; if (b == 0.0) // Can this case ever happen, due to automatic retyping with maybe_mutate? retval = octave_value (NDArray (a.dims (), 1)); else { octave_idx_type nz = a.nnz (); SparseComplexMatrix result (a); for (octave_idx_type i = 0; i < nz; i++) { octave_quit (); result.data (i) = std::pow (Complex (a.data (i)), b); } result.maybe_compress (true); retval = result; } return retval; } // -*- 6 -*- octave_value elem_xpow (const SparseMatrix& a, const SparseComplexMatrix& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (a.numel () == 1 && b.numel () > 1) return scalar_xpow (a(0), b); if (nr != b_nr || nc != b_nc) err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); SparseComplexMatrix result (nr, nc, Complex (1.0, 0.0)); for (octave_idx_type j = 0; j < nc; j++) { for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) { octave_quit (); result.xelem (a.ridx(i), j) = std::pow (a.data (i), b(a.ridx (i), j)); } } result.maybe_compress (true); return result; } // -*- 7 -*- octave_value elem_xpow (const Complex& a, const SparseMatrix& b) { octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) { for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); double btmp = b (i, j); if (xisint (btmp)) result (i, j) = std::pow (a, static_cast<int> (btmp)); else result (i, j) = std::pow (a, btmp); } } return result; } // -*- 8 -*- octave_value elem_xpow (const Complex& a, const SparseComplexMatrix& b) { octave_idx_type nr = b.rows (); octave_idx_type nc = b.cols (); ComplexMatrix result (nr, nc); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = 0; i < nr; i++) { octave_quit (); result (i, j) = std::pow (a, b (i, j)); } return result; } // -*- 9 -*- octave_value elem_xpow (const SparseComplexMatrix& a, double b) { octave_value retval; if (b <= 0) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); ComplexMatrix result (nr, nc, Complex (std::pow (0.0, b))); if (xisint (b)) { for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) { octave_quit (); result (a.ridx (i), j) = std::pow (a.data (i), static_cast<int> (b)); } } else { for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) { octave_quit (); result (a.ridx (i), j) = std::pow (a.data (i), b); } } retval = result; } else { octave_idx_type nz = a.nnz (); SparseComplexMatrix result (a); if (xisint (b)) { for (octave_idx_type i = 0; i < nz; i++) { octave_quit (); result.data (i) = std::pow (a.data (i), static_cast<int> (b)); } } else { for (octave_idx_type i = 0; i < nz; i++) { octave_quit (); result.data (i) = std::pow (a.data (i), b); } } result.maybe_compress (true); retval = result; } return retval; } // -*- 10 -*- octave_value elem_xpow (const SparseComplexMatrix& a, const SparseMatrix& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (a.numel () == 1 && b.numel () > 1) return scalar_xpow (a(0), b); if (nr != b_nr || nc != b_nc) err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); SparseComplexMatrix result (nr, nc, Complex (1.0, 0.0)); for (octave_idx_type j = 0; j < nc; j++) { for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) { octave_quit (); double btmp = b(a.ridx (i), j); Complex tmp; if (xisint (btmp)) result.xelem (a.ridx (i), j) = std::pow (a.data (i), static_cast<int> (btmp)); else result.xelem (a.ridx (i), j) = std::pow (a.data (i), btmp); } } result.maybe_compress (true); return result; } // -*- 11 -*- octave_value elem_xpow (const SparseComplexMatrix& a, const Complex& b) { octave_value retval; if (b == 0.0) // Can this case ever happen, due to automatic retyping with maybe_mutate? retval = octave_value (NDArray (a.dims (), 1)); else { octave_idx_type nz = a.nnz (); SparseComplexMatrix result (a); for (octave_idx_type i = 0; i < nz; i++) { octave_quit (); result.data (i) = std::pow (a.data (i), b); } result.maybe_compress (true); retval = result; } return retval; } // -*- 12 -*- octave_value elem_xpow (const SparseComplexMatrix& a, const SparseComplexMatrix& b) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type b_nr = b.rows (); octave_idx_type b_nc = b.cols (); if (a.numel () == 1 && b.numel () > 1) return scalar_xpow (a(0), b); if (nr != b_nr || nc != b_nc) err_nonconformant ("operator .^", nr, nc, b_nr, b_nc); SparseComplexMatrix result (nr, nc, Complex (1.0, 0.0)); for (octave_idx_type j = 0; j < nc; j++) { for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++) { octave_quit (); result.xelem (a.ridx (i), j) = std::pow (a.data (i), b(a.ridx (i), j)); } } result.maybe_compress (true); return result; }