Mercurial > octave
view liboctave/array/dNDArray.cc @ 30564:796f54d4ddbf stable
update Octave Project Developers copyright for the new year
In files that have the "Octave Project Developers" copyright notice,
update for 2021.
In all .txi and .texi files except gpl.txi and gpl.texi in the
doc/liboctave and doc/interpreter directories, change the copyright
to "Octave Project Developers", the same as used for other source
files. Update copyright notices for 2022 (not done since 2019). For
gpl.txi and gpl.texi, change the copyright notice to be "Free Software
Foundation, Inc." and leave the date at 2007 only because this file
only contains the text of the GPL, not anything created by the Octave
Project Developers.
Add Paul Thomas to contributors.in.
author | John W. Eaton <jwe@octave.org> |
---|---|
date | Tue, 28 Dec 2021 18:22:40 -0500 |
parents | da7210e30f3e |
children | 597f3ee61a48 |
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//////////////////////////////////////////////////////////////////////// // // Copyright (C) 1996-2022 The Octave Project Developers // // See the file COPYRIGHT.md in the top-level directory of this // distribution or <https://octave.org/copyright/>. // // 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 // <https://www.gnu.org/licenses/>. // //////////////////////////////////////////////////////////////////////// #if defined (HAVE_CONFIG_H) # include "config.h" #endif #include <istream> #include <limits> #include <ostream> #include "Array-util.h" #include "dNDArray.h" #include "f77-fcn.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.data (); 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.ndims () || 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 (data ()); 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.ndims () || 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.ndims () < 2) return ComplexNDArray (); dim_vector dv2 (dv(0), dv(1)); const double *in = data (); 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.ndims () < 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.ndims (); const double *in (data ()); 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.ndims (); 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 ComplexNDArray NDArray::fourier (int dim) const { octave_unused_parameter (dim); (*current_liboctave_error_handler) ("support for FFTW was unavailable or disabled when liboctave was built"); return ComplexNDArray (); } ComplexNDArray NDArray::ifourier (int dim) const { octave_unused_parameter (dim); (*current_liboctave_error_handler) ("support for FFTW was unavailable or disabled when liboctave was built"); return ComplexNDArray (); } ComplexNDArray NDArray::fourier2d (void) const { (*current_liboctave_error_handler) ("support for FFTW was unavailable or disabled when liboctave was built"); return ComplexNDArray (); } ComplexNDArray NDArray::ifourier2d (void) const { (*current_liboctave_error_handler) ("support for FFTW was unavailable or disabled when liboctave was built"); return ComplexNDArray (); } ComplexNDArray NDArray::fourierNd (void) const { (*current_liboctave_error_handler) ("support for FFTW was unavailable or disabled when liboctave was built"); return ComplexNDArray (); } ComplexNDArray NDArray::ifourierNd (void) const { (*current_liboctave_error_handler) ("support for FFTW was unavailable or disabled when liboctave was built"); return ComplexNDArray (); } #endif // unary operations boolNDArray NDArray::operator ! (void) const { if (any_element_is_nan ()) octave::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 (octave::math::negative_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 (octave::math::positive_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 (octave::is_one_or_zero); } bool NDArray::all_elements_are_zero (void) const { return test_all (octave::is_zero); } bool NDArray::all_elements_are_int_or_inf_or_nan (void) const { return test_all (octave::is_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 (! octave::math::isinteger (val)) return false; } return true; } bool NDArray::all_integers (void) const { return test_all (octave::math::isinteger); } bool NDArray::too_large_for_float (void) const { return test_any (octave::too_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 (octave::math::isnan (d)) (*current_liboctave_error_handler) ("invalid conversion from NaN to character"); octave_idx_type ival = octave::math::nint_big (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.isempty ()) 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, octave::math::isnan> (*this); } boolNDArray NDArray::isinf (void) const { return do_mx_unary_map<bool, double, octave::math::isinf> (*this); } boolNDArray NDArray::isfinite (void) const { return do_mx_unary_map<bool, double, octave::math::isfinite> (*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_value<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 return is; } } 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)