nanobench
C++ Format
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nanobench | C++ Format | |
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13 | 161 | |
1,307 | 19,307 | |
- | 1.6% | |
5.0 | 9.8 | |
8 months ago | 7 days ago | |
C++ | C++ | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nanobench
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The issue of unit tests and performance measurements (Benchmark)
An alternative is tracking the number of instructions a test executes: https://github.com/martinus/nanobench
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how do you properly benchmark?
Nano bench is a great library with low overhead. https://github.com/martinus/nanobench
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Much Faster than std::string, fmt::format, std::to_chars, std::time and more?
I've done a relatively simple test of taking random doubles (between 0 and 1), converting them to a C string via std::to_chars and then converting that C string back to a double via std::from_chars vs his xeerx::chars_to and got the following results on my machine via nanobench:
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Can you give an example of well-designed C++ code, and explain why you think it is so?
I like https://nanobench.ankerl.com/
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Best accurate way to measure/compare elapsed time in C++
Of course, the best way to benchmark is nanobench: https://nanobench.ankerl.com/
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The 23 year-old C++ developers with three job offers over $500k
I've created robin-hood-hashing and nanobench, and recently made some contributions to Bitcoin and doxygen
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I don’t know which container to use (and at this point I’m too afraid to ask)
Right. Regex runtime construction is known to be slow, so ideally the state machinery construction is built at compile time (boost.xpressive, ctre). Also, boost.regex is faster than most of the std implementations if compile time isn’t possible. And if that’s no good rewrite without regex. Since it sounds like it’s all encapsulated at least it would be easy to measure the options. These days I use this one to compare https://nanobench.ankerl.com/
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I'm writing a microbenchmarking library called "precision" without any macros. What do you guys think of the API?
You can check the API of nanobench which also doesn't use macros, as far as I have used it.
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C++20 std::format is 2x slower than std::fstream?
I've tried again with your latest changes and decided to use https://github.com/martinus/nanobench for a better benchmark and got the following output:
- Nanobench: Fast, Accurate, Single-Header Microbenchmarking Functionality For C++
C++ Format
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C++ left arrow operator (2016)
Continuation passing monads form the basis of a perfectly valid and usable software architecture and programming pattern.
In the case of ostream and operator<<, this pattern reduces the number of intermediate objects that would otherwise be constructed.
If you object to iostream on religious or stylistic grounds, there's always fmt which is more like Go or Python string interpolation.[0]
0. https://fmt.dev
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C++ Game Utility Libraries: for Game Dev Rustaceans
GitHub repo: fmtlib/fmt
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Creating k-NN with C++ (from Scratch)
cmake_minimum_required(VERSION 3.5) project(knn_cpp CXX) # Set up C++ version and properties include(CheckIncludeFileCXX) check_include_file_cxx(any HAS_ANY) check_include_file_cxx(string_view HAS_STRING_VIEW) check_include_file_cxx(coroutine HAS_COROUTINE) set(CMAKE_CXX_STANDARD 20) set(CMAKE_BUILD_TYPE Debug) set(CMAKE_CXX_STANDARD_REQUIRED ON) set(CMAKE_CXX_EXTENSIONS OFF) # Copy data file to build directory file(COPY ${CMAKE_CURRENT_SOURCE_DIR}/iris.data DESTINATION ${CMAKE_CURRENT_BINARY_DIR}) # Download library usinng FetchContent include(FetchContent) FetchContent_Declare(matplotplusplus GIT_REPOSITORY https://github.com/alandefreitas/matplotplusplus GIT_TAG origin/master) FetchContent_GetProperties(matplotplusplus) if(NOT matplotplusplus_POPULATED) FetchContent_Populate(matplotplusplus) add_subdirectory(${matplotplusplus_SOURCE_DIR} ${matplotplusplus_BINARY_DIR} EXCLUDE_FROM_ALL) endif() FetchContent_Declare( fmt GIT_REPOSITORY https://github.com/fmtlib/fmt.git GIT_TAG 7.1.3 # Adjust the version as needed ) FetchContent_MakeAvailable(fmt) # Add executable and link project libraries and folders add_executable(${PROJECT_NAME} main.cc) target_link_libraries(${PROJECT_NAME} PUBLIC matplot fmt::fmt) aux_source_directory(lib LIB_SRC) target_include_directories(${PROJECT_NAME} PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}) target_sources(${PROJECT_NAME} PRIVATE ${LIB_SRC}) add_subdirectory(tests)
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Optimizing the unoptimizable: a journey to faster C++ compile times
Good catch, thanks! Fixed now. This explains why the difference was kinda low compared to another benchmark: https://github.com/fmtlib/fmt?tab=readme-ov-file#compile-tim....
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Learn Modern C++
> This is from C++23, right?
std::println is, yes.
> I wonder how available this is within compilers
https://en.cppreference.com/w/cpp/compiler_support says clang, gcc, and msvc all support it, though I don't know how recent those versions are off the top of my head.
In my understanding, with this specific feature, if you want a polyfill for older compilers, or to use some more cutting-edge features that haven't been standardized yet, https://github.com/fmtlib/fmt is available to you.
- The C++20 Naughty and Nice List for Game Devs
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For processing strings, streams in C++ can be slow
{fmt} has internal buffering but it's not yet exposed to users. There is a feature request for it: https://github.com/fmtlib/fmt/issues/2354. FILE buffering is not too bad but it can be easily optimized: https://www.zverovich.net/2020/08/04/optimal-file-buffer-siz....
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adoption of fmt based logging
Automatic use of operator<< when that exists was present in fmt until version 9.0.0. In version 9 you could use FMT_DEPRECATED_OSTREAM to opt in the old behaviour, but this too was removed in version 10.0.0. Now there is no way to automatically use operator<<.
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What's your favorite c++20 feature that should've been there 10 years ago?
You can install it https://github.com/fmtlib/fmt
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Codebases to read
Additionally, if you like low level stuff, check out libfmt (https://github.com/fmtlib/fmt) - not a big project, not difficult to understand. Or something like simdjson (https://github.com/simdjson/simdjson).
What are some alternatives?
benchmark - A microbenchmark support library
spdlog - Fast C++ logging library.
fast_io - C++20 Concepts IO library which is 10x faster than stdio and iostream
Better Enums - C++ compile-time enum to string, iteration, in a single header file
robin-hood-hashing - Fast & memory efficient hashtable based on robin hood hashing for C++11/14/17/20
ZXing - ZXing ("Zebra Crossing") barcode scanning library for Java, Android
curl4cpp - Single header cURL wrapper for C++ around libcURL
FastFormat - The fastest, most robust C++ formatting library
ut - C++20 μ(micro)/Unit Testing Framework
ZBar - Clone of the mercurial repository http://zbar.hg.sourceforge.net:8000/hgroot/zbar/zbar
bench-rest - bench-rest - benchmark REST (HTTP/HTTPS) API's. node.js client module for easy load testing / benchmarking REST API's using a simple structure/DSL can create REST flows with setup and teardown and returns (measured) metrics.
Scintilla