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  • pdf文档 PromQL Got a BOOST: 用 Rust 重写 Prometheus 的查询引擎

    第三届中国 Rust 开发者大会 PromQL Got a BOOST: 用 Rust 重写 Prometheus 的查询引擎 Ruihang Xia @greptime.com Ruihang GitHub: waynexia Losing hair at Greptime Wanna sleep 10 hrs/day Learn JS every year Healing
    0 码力 | 39 页 | 6.95 MB | 1 年前
    3
  • pdf文档 A Physical Units Library for the Next C++

    14#include <boost/units/base_units/metric/hour.hpp> #include <boost/units/base_units/us/mile.hpp> #include <boost/units/io.hpp> #include <boost/units/make_scaled_unit.hpp> #include <boost/units/quantity #include <boost/units/systems/si/length.hpp> #include <boost/units/systems/si/time.hpp> #include <boost/units/systems/si/velocity.hpp> #include <boost/units/systems/si/prefixes.hpp> namespace bu = boost::units; coherent units: Boost.Units (godbolt.org/z/G3qqn8) 15#include <boost/units/base_units/metric/hour.hpp> #include <boost/units/base_units/us/mile.hpp> #include <boost/units/io.hpp> #include <boost/units/make_scaled_unit
    0 码力 | 172 页 | 6.17 MB | 5 月前
    3
  • pdf文档 Writing Python Bindings for C++ Libraries: Easy-to-use Performance

    data structures in Python - shared memory space ● How? ○ Python/C API ○ Cython ○ Numba / PyPy ○ Boost::Python ○ Pybind11 ○ cppyy ○ Mix and match! Why C++ and PythonHello, world (not really)Hello integer as argument, increments it and returns) ● C++ ● Python ● C++ with pybind11 ● C++ with boost::python ● CythonC++ int increment(int); // defined in a separate translation unit to prevent inlining while i < max_i: i = increment(i)Boost::python int cpp_increment(int i) { return i + 1; } BOOST_PYTHON_MODULE(hello_world_bpy) { using namespace boost::python; def("increment", &cpp_increment
    0 码力 | 118 页 | 2.18 MB | 5 月前
    3
  • pdf文档 Au Units

    alternatives 18Libraries considered Library Name GitHub repo Boost Units boostorg/units 19Libraries considered Library Name GitHub repo Boost Units boostorg/units nholthaus units nholthaus/units 19.1Libraries considered Library Name GitHub repo Boost Units boostorg/units nholthaus units nholthaus/units SI bernedom/SI 19.2Libraries considered Library Name GitHub repo Boost Units boostorg/units nholthaus units Library Name GitHub repo Boost Units boostorg/units nholthaus units nholthaus/units SI bernedom/SI mp-units mpusz/mp-units 19.4Libraries considered Library Name GitHub repo Boost Units boostorg/units
    0 码力 | 191 页 | 22.37 MB | 5 月前
    3
  • pdf文档 Google C++ Style Guide

    that are type safe and high performance. Facilities like Google Test, std::tuple, std::function, and Boost.Spirit would be impossible without it. The techniques used in template metaprogramming are often of view. Boost Use only approved libraries from the Boost library collection. The Boost library collection is a popular collection of peer-reviewed, free, open- source C++ libraries. Boost code is generally fills many important gaps in the C++ standard library, such as type traits and better binders. Some Boost libraries encourage coding practices which can hamper readability, such as metaprogramming and other
    0 码力 | 83 页 | 238.71 KB | 1 年前
    3
  • pdf文档 Expressive Compile-time Parsers

    context. Examples: • SQL • CSS • Regular Expressions (PCRE) • Make (makefile)DSL Example – Boost Spirit Boost Spirit library has a DSL for creating parsers. Example code from XML parser: text %= lexeme[+(char_ anyone try to do this crazy thing in C++?" Google: “Of course! There is a boost library for it called boost metaparse”Boost Metaparse A compile time parsing library by Abel Sinkovics. The library uses available at this C++now 2012 talk: https://www.youtube.com/watch?v=v3XoWi0XbZk BOOST_METAPARSE_STRING("Hello") C++ 98: C++ 11:Boost Metaparse - Meta Functions The library uses template structs also known
    0 码力 | 134 页 | 1.73 MB | 5 月前
    3
  • pdf文档 MACRO-FREE TESTING WITH C++20

    MACRO-FREE TESTING MACRO-FREE TESTING WITH C++20 WITH C++20 | | | | HTTPS://BOOST-EXT.GITHUB.IO/UT/CPPCON-2020 HTTPS://BOOST-EXT.GITHUB.IO/UT/CPPCON-2020 KRIS@JUSIAK.NET KRIS@JUSIAK.NET @KRISJUSIAK @KRISJUSIAK HTTPS://GITHUB.COM/BOOST-EXT/UT HTTPS://GITHUB.COM/BOOST-EXT/UT 2 / 14UT - UT - C++20 ( C++20 ( , , ) (*) LIMITATIONS MAY APPLY (*) LIMITATIONS MAY APPLY HTTPS://GITHUB.COM/BOOST-EXT/UT HTTPS://GITHUB HTTPS://GITHUB.COM/BOOST-EXT/UT GCC-9+, CLANG-9.0+, APPLE CLANG-11.0.0+ GCC-9+, CLANG-9.0+, APPLE CLANG-11.0.0+ MSVC-2019+* MSVC-2019+* 2 / 14UT - UT - C++20 ( C++20 ( , , ) SINGLE SINGLE (2K LOC) WITH
    0 码力 | 53 页 | 1.98 MB | 5 月前
    3
  • pdf文档 Using Modern C++ to Build XOffsetDatastructure

    that its performance is comparable to, and in some cases even slightly exceed, that of STL and Boost Container libraries. • As you can see in the chart, our solution demonstrates a slight performance XOffsetDatastructure, CppCon 2024 58 Containers Read/Write(100 thousand times, ms) std::* 68.0446 boost::* 56.273 XOffsetDatastructure::* 49.8465 Read/Write Performance3.4 High Performance Read and Write offset to the base address. • 2. Offset from ‘this’ pointer: • For this type, we directly use 'boost::interprocess::offset_ptr'. As illustrated in the diagram, this offset pointer stores a value relative
    0 码力 | 111 页 | 3.03 MB | 5 月前
    3
  • pdf文档 ethercat stack

    to_config_in(TOBJ7000 *pdo) { return ecat_data::config_in { .freeze_boost = (uint32_t(pdo->Freeze_boost_h) << 16) | uint32_t(pdo->Freeze_boost_l), .outside_temperature = int32_t(pdo->Outside_temperature), to_config_in(TOBJ7000 *pdo) { return ecat_data::config_in { .freeze_boost = (uint32_t(pdo->Freeze_boost_h) << 16) | uint32_t(pdo->Freeze_boost_l), .outside_temperature = int32_t(pdo->Outside_temperature), to_config_in(TOBJ7000 *pdo) { return ecat_data::config_in { .freeze_boost = (uint32_t(pdo->Freeze_boost_h) << 16) | uint32_t(pdo->Freeze_boost_l), .outside_temperature = int32_t(pdo->Outside_temperature),
    0 码力 | 65 页 | 2.54 MB | 5 月前
    3
  • pdf文档 Template-Less Meta-Programming

    (comptime) - ... - ... * - this_talk * - this_talk C++ C++ boost.mpl boost.mpl boost.mp11 boost.mp11 boost.fusion boost.fusion boost.hana boost.hana mp mp https://wg21.link/p2996 https://wg21.link/p2996 recursive template instantiations ( faster to compile than recursive template instantiations ( ) boost.mp11 boost.mp11 std::tuple std::tuple 56 / 58Benchmarks Benchmarks Circle-lang meta model is the fastest compile than with is significantly slower to compile than with raw primitives! raw primitives! boost.mp11 boost.mp11 std::tuple std::tuple STL STL 56 / 58Benchmarks Benchmarks Circle-lang meta model is
    0 码力 | 130 页 | 5.79 MB | 5 月前
    3
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