/* * Copyright 2019 Max Kellermann * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * - Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * - Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the * distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE * FOUNDATION OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, * STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED * OF THE POSSIBILITY OF SUCH DAMAGE. */ #ifndef TRANSFORM_N_HXX #define TRANSFORM_N_HXX #include /** * The std::transform_n() function that is missing in the C++ standard * library. */ template OutputIt transform_n(InputIt input, size_t n, OutputIt output, UnaryOperation unary_op) { while (n-- > 0) *output++ = unary_op(*input++); return output; } /** * Optimized overload for the above transform_n() implementation for * the special case that both input and output are regular pointers. * Turns out that most compilers generate better code this way. */ template OutputType * transform_n(const InputType *input, size_t n, OutputType *output, UnaryOperation unary_op) { for (size_t i = 0; i < n; ++i) output[i] = unary_op(input[i]); return output + n; } #endif