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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 fn_randn
+//! @{
+
+
+
+// scalars
+
+arma_warn_unused
+inline
+double
+randn()
+ {
+ arma_extra_debug_sigprint();
+
+ return double(arma_rng::randn<double>());
+ }
+
+
+
+template<typename eT>
+arma_warn_unused
+inline
+typename arma_real_or_cx_only<eT>::result
+randn()
+ {
+ arma_extra_debug_sigprint();
+
+ return eT(arma_rng::randn<eT>());
+ }
+
+
+
+arma_warn_unused
+inline
+double
+randn(const distr_param& param)
+ {
+ arma_extra_debug_sigprint();
+
+ if(param.state == 0) { return double(arma_rng::randn<double>()); }
+
+ double mu = double(0);
+ double sd = double(1);
+
+ param.get_double_vals(mu,sd);
+
+ arma_debug_check( (sd <= double(0)), "randn(): incorrect distribution parameters; standard deviation must be > 0" );
+
+ const double val = double(arma_rng::randn<double>());
+
+ return ((val * sd) + mu);
+ }
+
+
+
+template<typename eT>
+arma_warn_unused
+inline
+typename arma_real_or_cx_only<eT>::result
+randn(const distr_param& param)
+ {
+ arma_extra_debug_sigprint();
+
+ if(param.state == 0) { return eT(arma_rng::randn<eT>()); }
+
+ double mu = double(0);
+ double sd = double(1);
+
+ param.get_double_vals(mu,sd);
+
+ arma_debug_check( (sd <= double(0)), "randn(): incorrect distribution parameters; standard deviation must be > 0" );
+
+ eT val = eT(0);
+
+ arma_rng::randn<eT>::fill(&val, 1, mu, sd); // using fill() as eT can be complex
+
+ return val;
+ }
+
+
+
+// vectors
+
+arma_warn_unused
+inline
+vec
+randn(const uword n_elem, const distr_param& param = distr_param())
+ {
+ arma_extra_debug_sigprint();
+
+ vec out(n_elem, arma_nozeros_indicator());
+
+ if(param.state == 0)
+ {
+ arma_rng::randn<double>::fill(out.memptr(), n_elem);
+ }
+ else
+ {
+ double mu = double(0);
+ double sd = double(1);
+
+ param.get_double_vals(mu,sd);
+
+ arma_debug_check( (sd <= double(0)), "randn(): incorrect distribution parameters; standard deviation must be > 0" );
+
+ arma_rng::randn<double>::fill(out.memptr(), n_elem, mu, sd);
+ }
+
+ return out;
+ }
+
+
+
+template<typename obj_type>
+arma_warn_unused
+inline
+obj_type
+randn(const uword n_elem, const distr_param& param = distr_param(), const typename arma_Mat_Col_Row_only<obj_type>::result* junk = nullptr)
+ {
+ arma_extra_debug_sigprint();
+ arma_ignore(junk);
+
+ typedef typename obj_type::elem_type eT;
+
+ const uword n_rows = (is_Row<obj_type>::value) ? uword(1) : n_elem;
+ const uword n_cols = (is_Row<obj_type>::value) ? n_elem : uword(1);
+
+ obj_type out(n_rows, n_cols, arma_nozeros_indicator());
+
+ if(param.state == 0)
+ {
+ arma_rng::randn<eT>::fill(out.memptr(), out.n_elem);
+ }
+ else
+ {
+ double mu = double(0);
+ double sd = double(1);
+
+ param.get_double_vals(mu,sd);
+
+ arma_debug_check( (sd <= double(0)), "randn(): incorrect distribution parameters; standard deviation must be > 0" );
+
+ arma_rng::randn<eT>::fill(out.memptr(), out.n_elem, mu, sd);
+ }
+
+ return out;
+ }
+
+
+
+// matrices
+
+arma_warn_unused
+inline
+mat
+randn(const uword n_rows, const uword n_cols, const distr_param& param = distr_param())
+ {
+ arma_extra_debug_sigprint();
+
+ mat out(n_rows, n_cols, arma_nozeros_indicator());
+
+ if(param.state == 0)
+ {
+ arma_rng::randn<double>::fill(out.memptr(), out.n_elem);
+ }
+ else
+ {
+ double mu = double(0);
+ double sd = double(1);
+
+ param.get_double_vals(mu,sd);
+
+ arma_debug_check( (sd <= double(0)), "randn(): incorrect distribution parameters; standard deviation must be > 0" );
+
+ arma_rng::randn<double>::fill(out.memptr(), out.n_elem, mu, sd);
+ }
+
+ return out;
+ }
+
+
+
+arma_warn_unused
+inline
+mat
+randn(const SizeMat& s, const distr_param& param = distr_param())
+ {
+ arma_extra_debug_sigprint();
+
+ return randn(s.n_rows, s.n_cols, param);
+ }
+
+
+
+template<typename obj_type>
+arma_warn_unused
+inline
+obj_type
+randn(const uword n_rows, const uword n_cols, const distr_param& param = distr_param(), const typename arma_Mat_Col_Row_only<obj_type>::result* junk = nullptr)
+ {
+ arma_extra_debug_sigprint();
+ arma_ignore(junk);
+
+ typedef typename obj_type::elem_type eT;
+
+ if(is_Col<obj_type>::value) { arma_debug_check( (n_cols != 1), "randn(): incompatible size" ); }
+ if(is_Row<obj_type>::value) { arma_debug_check( (n_rows != 1), "randn(): incompatible size" ); }
+
+ obj_type out(n_rows, n_cols, arma_nozeros_indicator());
+
+ if(param.state == 0)
+ {
+ arma_rng::randn<eT>::fill(out.memptr(), out.n_elem);
+ }
+ else
+ {
+ double mu = double(0);
+ double sd = double(1);
+
+ param.get_double_vals(mu,sd);
+
+ arma_debug_check( (sd <= double(0)), "randn(): incorrect distribution parameters; standard deviation must be > 0" );
+
+ arma_rng::randn<eT>::fill(out.memptr(), out.n_elem, mu, sd);
+ }
+
+ return out;
+ }
+
+
+
+template<typename obj_type>
+arma_warn_unused
+inline
+obj_type
+randn(const SizeMat& s, const distr_param& param = distr_param(), const typename arma_Mat_Col_Row_only<obj_type>::result* junk = nullptr)
+ {
+ arma_extra_debug_sigprint();
+ arma_ignore(junk);
+
+ return randn<obj_type>(s.n_rows, s.n_cols, param);
+ }
+
+
+
+// cubes
+
+
+arma_warn_unused
+inline
+cube
+randn(const uword n_rows, const uword n_cols, const uword n_slices, const distr_param& param = distr_param())
+ {
+ arma_extra_debug_sigprint();
+
+ cube out(n_rows, n_cols, n_slices, arma_nozeros_indicator());
+
+ if(param.state == 0)
+ {
+ arma_rng::randn<double>::fill(out.memptr(), out.n_elem);
+ }
+ else
+ {
+ double mu = double(0);
+ double sd = double(1);
+
+ param.get_double_vals(mu,sd);
+
+ arma_debug_check( (sd <= double(0)), "randn(): incorrect distribution parameters; standard deviation must be > 0" );
+
+ arma_rng::randn<double>::fill(out.memptr(), out.n_elem, mu, sd);
+ }
+
+ return out;
+ }
+
+
+
+arma_warn_unused
+inline
+cube
+randn(const SizeCube& s, const distr_param& param = distr_param())
+ {
+ arma_extra_debug_sigprint();
+
+ return randn(s.n_rows, s.n_cols, s.n_slices, param);
+ }
+
+
+
+template<typename cube_type>
+arma_warn_unused
+inline
+cube_type
+randn(const uword n_rows, const uword n_cols, const uword n_slices, const distr_param& param = distr_param(), const typename arma_Cube_only<cube_type>::result* junk = nullptr)
+ {
+ arma_extra_debug_sigprint();
+ arma_ignore(junk);
+
+ typedef typename cube_type::elem_type eT;
+
+ cube_type out(n_rows, n_cols, n_slices, arma_nozeros_indicator());
+
+ if(param.state == 0)
+ {
+ arma_rng::randn<eT>::fill(out.memptr(), out.n_elem);
+ }
+ else
+ {
+ double mu = double(0);
+ double sd = double(1);
+
+ param.get_double_vals(mu,sd);
+
+ arma_debug_check( (sd <= double(0)), "randn(): incorrect distribution parameters; standard deviation must be > 0" );
+
+ arma_rng::randn<eT>::fill(out.memptr(), out.n_elem, mu, sd);
+ }
+
+ return out;
+ }
+
+
+
+template<typename cube_type>
+arma_warn_unused
+inline
+cube_type
+randn(const SizeCube& s, const distr_param& param = distr_param(), const typename arma_Cube_only<cube_type>::result* junk = nullptr)
+ {
+ arma_extra_debug_sigprint();
+ arma_ignore(junk);
+
+ return randn<cube_type>(s.n_rows, s.n_cols, s.n_slices, param);
+ }
+
+
+
+//! @}