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to_result.hh

00001 // Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE)
00002 //
00003 // This file is part of Olena.
00004 //
00005 // Olena is free software: you can redistribute it and/or modify it under
00006 // the terms of the GNU General Public License as published by the Free
00007 // Software Foundation, version 2 of the License.
00008 //
00009 // Olena is distributed in the hope that it will be useful,
00010 // but WITHOUT ANY WARRANTY; without even the implied warranty of
00011 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
00012 // General Public License for more details.
00013 //
00014 // You should have received a copy of the GNU General Public License
00015 // along with Olena.  If not, see <http://www.gnu.org/licenses/>.
00016 //
00017 // As a special exception, you may use this file as part of a free
00018 // software project without restriction.  Specifically, if other files
00019 // instantiate templates or use macros or inline functions from this
00020 // file, or you compile this file and link it with other files to produce
00021 // an executable, this file does not by itself cause the resulting
00022 // executable to be covered by the GNU General Public License.  This
00023 // exception does not however invalidate any other reasons why the
00024 // executable file might be covered by the GNU General Public License.
00025 
00026 #ifndef MLN_ACCU_IMAGE_TO_RESULT_HH
00027 # define MLN_ACCU_IMAGE_TO_RESULT_HH
00028 
00032 
00033 # include <mln/core/concept/accumulator.hh>
00034 # include <mln/core/concept/image.hh>
00035 
00036 
00037 namespace mln
00038 {
00039 
00040   namespace accu
00041   {
00042 
00043     namespace image
00044     {
00045 
00046       template <typename I>
00047       mln_ch_value(I, mln_deduce(I, value, result))
00048         to_result(const Image<I>& input);
00049 
00050 
00051 
00052 # ifndef MLN_INCLUDE_ONLY
00053 
00054       namespace impl
00055       {
00056 
00057         // Generic version.
00058 
00059         namespace generic
00060         {
00061 
00062           template <typename I>
00063           mln_ch_value(I, mln_deduce(I, value, result))
00064             to_result(const Image<I>& input_)
00065           {
00066             trace::entering("accu::impl::image::generic::to_result");
00067 
00068             mlc_is_a(mln_value(I), Accumulator)::check();
00069 
00070             const I& input = exact(input_);
00071             mln_precondition(input.is_valid());
00072 
00073             typedef mln_deduce(I, value, result) R;
00074             mln_ch_value(I, R) output;
00075             initialize(output, input);
00076 
00077             mln_piter(I) p(input.domain());
00078             for_all(p)
00079               output(p) = input(p).to_result();
00080 
00081             trace::exiting("accu::impl::image::generic::to_result");
00082             return output;
00083           }
00084 
00085         } // end of namespace mln::accu::image::impl::generic
00086 
00087 
00088         // Fastest version.
00089 
00090         template <typename I>
00091         mln_ch_value(I, mln_deduce(I, value, result))
00092           to_result_fastest(const Image<I>& input_)
00093         {
00094           trace::entering("accu::impl::image::to_result_fastest");
00095 
00096           mlc_is_a(mln_value(I), Accumulator)::check();
00097           
00098           const I& input = exact(input_);
00099           mln_precondition(input.is_valid());
00100 
00101           typedef mln_deduce(I, value, result) R;
00102           typedef mln_ch_value(I, R) O;
00103           O output;
00104           initialize(output, input);
00105           
00106           mln_pixter(const I) p_in(input);
00107           mln_pixter(O)       p_out(output);
00108           for_all_2(p_in, p_out)
00109             p_out.val() = p_in.val().to_result();
00110 
00111           trace::exiting("accu::impl::image::to_result_fastest");
00112           return output;
00113         }
00114 
00115       } // end of namespace mln::accu::image::impl
00116 
00117 
00118 
00119       // Dispatch.
00120 
00121       namespace internal
00122       {
00123 
00124         template <typename I>
00125         mln_ch_value(I, mln_deduce(I, value, result))
00126           to_result_dispatch(trait::image::speed::any,
00127                              const Image<I>& input)
00128         {
00129           return impl::generic::to_result(input);
00130         }
00131 
00132         template <typename I>
00133         mln_ch_value(I, mln_deduce(I, value, result))
00134           to_result_dispatch(trait::image::speed::fastest,
00135                              const Image<I>& input)
00136         {
00137           return impl::to_result_fastest(input);
00138         }
00139 
00140         template <typename I>
00141         mln_ch_value(I, mln_deduce(I, value, result))
00142           to_result_dispatch(const Image<I>& input)
00143         {
00144           return to_result_dispatch(mln_trait_image_speed(I)(),
00145                                     input);
00146         }
00147 
00148       } // end of namespace mln::accu::image::internal
00149 
00150 
00151       // Facade.
00152 
00153       template <typename I>
00154       mln_ch_value(I, mln_deduce(I, value, result))
00155         to_result(const Image<I>& input)
00156       {
00157         trace::entering("accu::image::to_result");
00158 
00159         mlc_is_a(mln_value(I), Accumulator)::check();
00160 
00161         mln_precondition(exact(input).is_valid());
00162 
00163         typedef mln_deduce(I, value, result) R;
00164         mln_ch_value(I, R) output;
00165         output = internal::to_result_dispatch(input);
00166 
00167         trace::exiting("accu::image::to_result");
00168         return output;
00169       }
00170 
00171 # endif // ! MLN_INCLUDE_ONLY
00172 
00173     } // end of namespace mln::accu::image
00174 
00175   } // end of namespace mln::accu
00176 
00177 } // end of namespace mln
00178 
00179 
00180 #endif // ! MLN_ACCU_IMAGE_TO_RESULT_HH

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