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authorNao Pross <np@0hm.ch>2024-02-12 14:52:43 +0100
committerNao Pross <np@0hm.ch>2024-02-12 14:52:43 +0100
commiteda5bc26f44ee9a6f83dcf8c91f17296d7fc509d (patch)
treebc2efa38ff4e350f9a111ac87065cd7ae9a911c7 /src/armadillo/include/armadillo_bits/Gen_meat.hpp
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Move into version control
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+// SPDX-License-Identifier: Apache-2.0
+//
+// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au)
+// Copyright 2008-2016 National ICT Australia (NICTA)
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+// ------------------------------------------------------------------------
+
+
+//! \addtogroup Gen
+//! @{
+
+
+
+template<typename T1, typename gen_type>
+arma_inline
+Gen<T1, gen_type>::Gen(const uword in_n_rows, const uword in_n_cols)
+ : n_rows(in_n_rows)
+ , n_cols(in_n_cols)
+ {
+ arma_extra_debug_sigprint();
+ }
+
+
+
+template<typename T1, typename gen_type>
+arma_inline
+Gen<T1, gen_type>::~Gen()
+ {
+ arma_extra_debug_sigprint();
+ }
+
+
+
+template<typename T1, typename gen_type>
+arma_inline
+typename T1::elem_type
+Gen<T1, gen_type>::operator[](const uword ii) const
+ {
+ typedef typename T1::elem_type eT;
+
+ if(is_same_type<gen_type, gen_zeros>::yes) { return eT(0); }
+ else if(is_same_type<gen_type, gen_ones >::yes) { return eT(1); }
+ else if(is_same_type<gen_type, gen_eye >::yes) { return ((ii % n_rows) == (ii / n_rows)) ? eT(1) : eT(0); }
+
+ return eT(0); // prevent pedantic compiler warnings
+ }
+
+
+
+template<typename T1, typename gen_type>
+arma_inline
+typename T1::elem_type
+Gen<T1, gen_type>::at(const uword r, const uword c) const
+ {
+ typedef typename T1::elem_type eT;
+
+ if(is_same_type<gen_type, gen_zeros>::yes) { return eT(0); }
+ else if(is_same_type<gen_type, gen_ones >::yes) { return eT(1); }
+ else if(is_same_type<gen_type, gen_eye >::yes) { return (r == c) ? eT(1) : eT(0); }
+
+ return eT(0); // prevent pedantic compiler warnings
+ }
+
+
+
+template<typename T1, typename gen_type>
+arma_inline
+typename T1::elem_type
+Gen<T1, gen_type>::at_alt(const uword ii) const
+ {
+ return operator[](ii);
+ }
+
+
+
+template<typename T1, typename gen_type>
+inline
+void
+Gen<T1, gen_type>::apply(Mat<typename T1::elem_type>& out) const
+ {
+ arma_extra_debug_sigprint();
+
+ // NOTE: we're assuming that the matrix has already been set to the correct size;
+ // this is done by either the Mat contructor or operator=()
+
+ if(is_same_type<gen_type, gen_zeros>::yes) { out.zeros(); }
+ else if(is_same_type<gen_type, gen_ones >::yes) { out.ones(); }
+ else if(is_same_type<gen_type, gen_eye >::yes) { out.eye(); }
+ }
+
+
+
+template<typename T1, typename gen_type>
+inline
+void
+Gen<T1, gen_type>::apply_inplace_plus(Mat<typename T1::elem_type>& out) const
+ {
+ arma_extra_debug_sigprint();
+
+ arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "addition");
+
+ typedef typename T1::elem_type eT;
+
+ if(is_same_type<gen_type, gen_ones>::yes)
+ {
+ arrayops::inplace_plus(out.memptr(), eT(1), out.n_elem);
+ }
+ else
+ if(is_same_type<gen_type, gen_eye>::yes)
+ {
+ const uword N = (std::min)(n_rows, n_cols);
+
+ for(uword ii=0; ii < N; ++ii) { out.at(ii,ii) += eT(1); }
+ }
+ }
+
+
+
+
+template<typename T1, typename gen_type>
+inline
+void
+Gen<T1, gen_type>::apply_inplace_minus(Mat<typename T1::elem_type>& out) const
+ {
+ arma_extra_debug_sigprint();
+
+ arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "subtraction");
+
+ typedef typename T1::elem_type eT;
+
+ if(is_same_type<gen_type, gen_ones>::yes)
+ {
+ arrayops::inplace_minus(out.memptr(), eT(1), out.n_elem);
+ }
+ else
+ if(is_same_type<gen_type, gen_eye>::yes)
+ {
+ const uword N = (std::min)(n_rows, n_cols);
+
+ for(uword ii=0; ii < N; ++ii) { out.at(ii,ii) -= eT(1); }
+ }
+ }
+
+
+
+
+template<typename T1, typename gen_type>
+inline
+void
+Gen<T1, gen_type>::apply_inplace_schur(Mat<typename T1::elem_type>& out) const
+ {
+ arma_extra_debug_sigprint();
+
+ arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "element-wise multiplication");
+
+ typedef typename T1::elem_type eT;
+
+ if(is_same_type<gen_type, gen_zeros>::yes)
+ {
+ arrayops::inplace_mul(out.memptr(), eT(0), out.n_elem);
+ // NOTE: not using arrayops::fill_zeros(), as 'out' may have NaN elements
+ }
+ else
+ if(is_same_type<gen_type, gen_eye>::yes)
+ {
+ for(uword c=0; c < n_cols; ++c)
+ for(uword r=0; r < n_rows; ++r)
+ {
+ if(r != c) { out.at(r,c) *= eT(0); }
+ }
+ }
+ }
+
+
+
+
+template<typename T1, typename gen_type>
+inline
+void
+Gen<T1, gen_type>::apply_inplace_div(Mat<typename T1::elem_type>& out) const
+ {
+ arma_extra_debug_sigprint();
+
+ arma_debug_assert_same_size(out.n_rows, out.n_cols, n_rows, n_cols, "element-wise division");
+
+ typedef typename T1::elem_type eT;
+
+ if(is_same_type<gen_type, gen_zeros>::yes)
+ {
+ arrayops::inplace_div(out.memptr(), eT(0), out.n_elem);
+ }
+ else
+ if(is_same_type<gen_type, gen_eye>::yes)
+ {
+ for(uword c=0; c < n_cols; ++c)
+ for(uword r=0; r < n_rows; ++r)
+ {
+ if(r != c) { out.at(r,c) /= eT(0); }
+ }
+ }
+ }
+
+
+
+template<typename T1, typename gen_type>
+inline
+void
+Gen<T1, gen_type>::apply(subview<typename T1::elem_type>& out) const
+ {
+ arma_extra_debug_sigprint();
+
+ // NOTE: we're assuming that the submatrix has the same dimensions as the Gen object
+ // this is checked by subview::operator=()
+
+ if(is_same_type<gen_type, gen_zeros>::yes) { out.zeros(); }
+ else if(is_same_type<gen_type, gen_ones >::yes) { out.ones(); }
+ else if(is_same_type<gen_type, gen_eye >::yes) { out.eye(); }
+ }
+
+
+
+//! @}