Thank you for coming here! It's always nice to have third-party contributors 🤗
To keep the quality of the code high, we have a set of guidelines common to all Unum projects.
Before building the first time, please pull git
submodules.
That's how we bring in SimSIMD and other optional dependencies to test all of the available functionality.
git submodule update --init --recursive
Our primary C++ implementation uses CMake for builds. If this is your first experience with CMake, use the following commands to get started:
sudo apt-get update && sudo apt-get install cmake build-essential libjemalloc-dev g++-12 gcc-12 # Ubuntu
brew install libomp llvm # MacOS
Using modern syntax, this is how you build and run the test suite:
cmake -DUSEARCH_BUILD_TEST_CPP=1 -DCMAKE_BUILD_TYPE=Debug -B ./build_debug
cmake --build ./build_debug --config Debug
./build_debug/test_cpp
If there build mode is not specified, the default is Release
.
cmake -DUSEARCH_BUILD_TEST_CPP=1 -B ./build_release
cmake --build ./build_release --config Debug
./build_release/test_cpp
The CMakeLists.txt file has a number of options you can pass:
- What to build:
USEARCH_BUILD_TEST_CPP
- build the C++ test suiteUSEARCH_BUILD_BENCH_CPP
- build the C++ benchmark suiteUSEARCH_BUILD_LIB_C
- build the C libraryUSEARCH_BUILD_TEST_C
- build the C test suiteUSEARCH_BUILD_SQLITE
- build the SQLite extension (no Windows)
- Which dependencies to use:
USEARCH_USE_OPENMP
- use OpenMP for parallelismUSEARCH_USE_SIMSIMD
- use SimSIMD for vectorizationUSEARCH_USE_JEMALLOC
- use JeMalloc for memory managementUSEARCH_USE_FP16LIB
- use software emulation for half-precision floating point
Putting all of this together, compiling all targets on most platforms should work with the following snippet:
cmake -DCMAKE_BUILD_TYPE=Release -DUSEARCH_USE_FP16LIB=1 -DUSEARCH_USE_OPENMP=1 -DUSEARCH_USE_SIMSIMD=1 -DUSEARCH_USE_JEMALLOC=1 -DUSEARCH_BUILD_TEST_CPP=1 -DUSEARCH_BUILD_BENCH_CPP=1 -DUSEARCH_BUILD_LIB_C=1 -DUSEARCH_BUILD_TEST_C=1 -DUSEARCH_BUILD_SQLITE=0 -B ./build_release
cmake --build ./build_release --config Release
./build_release/test_cpp
./build_release/test_c
Similarly, to use the most recent Clang compiler version from HomeBrew on MacOS:
cmake \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_C_COMPILER="/opt/homebrew/opt/llvm/bin/clang" \
-DCMAKE_CXX_COMPILER="/opt/homebrew/opt/llvm/bin/clang++" \
-DUSEARCH_USE_FP16LIB=1 \
-DUSEARCH_USE_OPENMP=1 \
-DUSEARCH_USE_SIMSIMD=1 \
-DUSEARCH_USE_JEMALLOC=1 \
-DUSEARCH_BUILD_TEST_CPP=1 \
-DUSEARCH_BUILD_BENCH_CPP=1 \
-DUSEARCH_BUILD_LIB_C=1 \
-DUSEARCH_BUILD_TEST_C=1 \
-B ./build_release
cmake --build ./build_release --config Release
./build_release/test_cpp
./build_release/test_c
Linting:
cppcheck --enable=all --force --suppress=cstyleCast --suppress=unusedFunction \
include/usearch/index.hpp \
include/index_dense.hpp \
include/index_plugins.hpp
I'd recommend putting the following breakpoints when debugging the code in GDB:
__asan::ReportGenericError
- to detect illegal memory accesses.__ubsan::ScopedReport::~ScopedReport
- to catch undefined behavior.__GI_exit
- to stop at exit points - the end of running any executable.__builtin_unreachable
- to catch all the places where the code is expected to be unreachable.
Unlike GCC, LLVM handles cross compilation very easily.
You just need to pass the right TARGET_ARCH
and BUILD_ARCH
to CMake.
The list includes:
crossbuild-essential-amd64
for 64-bit x86crossbuild-essential-arm64
for 64-bit Armcrossbuild-essential-armhf
for 32-bit ARM hard-floatcrossbuild-essential-armel
for 32-bit ARM soft-float (emulatesfloat
)crossbuild-essential-riscv64
for RISC-Vcrossbuild-essential-powerpc
for PowerPCcrossbuild-essential-s390x
for IBM Zcrossbuild-essential-mips
for MIPScrossbuild-essential-ppc64el
for PowerPC 64-bit little-endian
Here is an example for cross-compiling for Arm64 on an x86_64 machine:
sudo apt-get update
sudo apt-get install -y clang lld make crossbuild-essential-arm64 crossbuild-essential-armhf
export CC="clang"
export CXX="clang++"
export AR="llvm-ar"
export NM="llvm-nm"
export RANLIB="llvm-ranlib"
export TARGET_ARCH="aarch64-linux-gnu" # Or "x86_64-linux-gnu"
export BUILD_ARCH="arm64" # Or "amd64"
cmake -DCMAKE_BUILD_TYPE=Release \
-DCMAKE_C_COMPILER_TARGET=${TARGET_ARCH} \
-DCMAKE_CXX_COMPILER_TARGET=${TARGET_ARCH} \
-DCMAKE_SYSTEM_NAME=Linux \
-DCMAKE_SYSTEM_PROCESSOR=${BUILD_ARCH} \
-B build_artifacts
cmake --build build_artifacts --config Release
Python bindings are built using PyBind11 and are available on PyPi.
The compilation settings are controlled by the setup.py
and are independent from CMake used for C/C++ builds.
To install USearch locally:
pip install -e .
For testing USearch uses PyTest, which is pre-configured in pyproject.toml
.
Following options are enabled:
- The
-s
option will disable capturing the logs. - The
-x
option will exit after first failure to simplify debugging. - The
-p no:warnings
option will suppress and allow warnings.
pip install pytest pytest-repeat # for repeated fuzzy tests
pytest # if you trust the default settings
pytest python/scripts/ -s -x -p no:warnings # to overwrite the default settings
Linting:
pip install ruff
ruff --format=github --select=E9,F63,F7,F82 --target-version=py37 python
Before merging your changes you may want to test your changes against the entire matrix of Python versions USearch supports.
For that you need the cibuildwheel
, which is tricky to use on MacOS and Windows, as it would target just the local environment.
Still, if you have Docker running on any desktop OS, you can use it to build and test the Python bindings for all Python versions for Linux:
pip install cibuildwheel
cibuildwheel
cibuildwheel --platform linux # works on any OS and builds all Linux backends
cibuildwheel --platform linux --archs x86_64 # 64-bit x86, the most common on desktop and servers
cibuildwheel --platform linux --archs aarch64 # 64-bit Arm for mobile devices, Apple M-series, and AWS Graviton
cibuildwheel --platform macos # works only on MacOS
cibuildwheel --platform windows # works only on Windows
You may need root previligies for multi-architecture builds:
sudo $(which cibuildwheel) --platform linux
On Windows and MacOS, to avoid frequent path resolution issues, you may want to use:
python -m cibuildwheel --platform windows
USearch provides NAPI bindings for NodeJS available on NPM.
The compilation settings are controlled by the binding.gyp
and are independent from CMake used for C/C++ builds.
If you don't have NPM installed, first the Node Version Manager:
wget -qO- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash
nvm install 20
Testing and benchmarking:
npm install -g typescript
npm run build-js
npm test
npm run bench
To compile for AWS Lambda you'd need to recompile the binding. You can test the setup locally, overriding some of the compilation variables in Docker image:
FROM public.ecr.aws/lambda/nodejs:18-x86_64
RUN npm init -y
RUN yum install tar git python3 cmake gcc-c++ -y && yum groupinstall "Development Tools" -y
# Assuming AWS Linux 2 uses old compilers:
ENV USEARCH_USE_FP16LIB 1
ENV DUSEARCH_USE_SIMSIMD 1
ENV SIMSIMD_TARGET_HASWELL 1
ENV SIMSIMD_TARGET_SKYLAKE 0
ENV SIMSIMD_TARGET_ICE 0
ENV SIMSIMD_TARGET_SAPPHIRE 0
ENV SIMSIMD_TARGET_NEON 1
ENV SIMSIMD_TARGET_SVE 0
# For specific PR:
# RUN npm install --build-from-source unum-cloud/usearch#pull/302/head
# For specific version:
# RUN npm install --build-from-source [email protected]
RUN npm install --build-from-source usearch
To compile to WebAssembly make sure you have emscripten
installed and run the following script:
emcmake cmake -B ./build -DCMAKE_CXX_FLAGS="${CMAKE_CXX_FLAGS} -s TOTAL_MEMORY=64MB" && emmake make -C ./build
node ./build/usearch.test.js
If you don't yet have emcmake
installed:
git clone https://github.com/emscripten-core/emsdk.git && ./emsdk/emsdk install latest && ./emsdk/emsdk activate latest && source ./emsdk/emsdk_env.sh
USearch provides Rust bindings available on Crates.io.
The compilation settings are controlled by the build.rs
and are independent from CMake used for C/C++ builds.
cargo test -p usearch -- --nocapture --test-threads=1
cargo publish
USearch provides both Objective-C and Swift bindings through the Swift Package Manager.
The compilation settings are controlled by the Package.swift
and are independent from CMake used for C/C++ builds.
swift build && swift test -v
Those depend on Apple's Foundation
library and can only run on Apple devices.
USearch provides GoLang bindings, that depend on the C library that must be installed beforehand. So one should first compile the C library, link it with GoLang, and only then run tests.
cmake -B ./build_release -DUSEARCH_BUILD_LIB_C=1 -DUSEARCH_BUILD_TEST_C=1 -DUSEARCH_USE_OPENMP=1 -DUSEARCH_USE_SIMSIMD=1
cmake --build ./build_release --config Release -j
mv ./c/libusearch_c.so ./golang/ # or .dylib to install the library on MacOS
cp ./c/usearch.h ./golang/ # to make the header available to GoLang
cd golang && go test -v ; cd ..
USearch provides Java bindings available from the GitHub Maven registry and the Sonatype Maven Central Repository.
The compilation settings are controlled by the build.gradle
and are independent from CMake used for C/C++ builds.
To setup the Gradle environment:
sudo apt get install zip unzip
curl -s "https://get.sdkman.io" | bash
sdk install java gradle
Afterwards, in a new terminal:
gradle clean build
gradle test
Alternatively, to run the Index.main
:
java -cp "$(pwd)/build/classes/java/main" -Djava.library.path="$(pwd)/build/libs/usearch/shared" java/cloud/unum/usearch/Index.java
Or step by-step:
cd java/cloud/unum/usearch
javac -h . Index.java NativeUtils.java
# Ensure JAVA_HOME system environment variable has been set
# e.g. export JAVA_HOME=/usr/lib/jvm/java-11-openjdk-amd64
# Ubuntu:
g++ -c -fPIC -I${JAVA_HOME}/include -I${JAVA_HOME}/include/linux -I../../../../include cloud_unum_usearch_Index.cpp -o cloud_unum_usearch_Index.o
g++ -shared -fPIC -o libusearch.so cloud_unum_usearch_Index.o -lc
# Windows
g++ -c -I%JAVA_HOME%\include -I%JAVA_HOME%\include\win32 cloud_unum_usearch_Index.cpp -I..\..\..\..\include -o cloud_unum_usearch_Index.o
g++ -shared -o USearchJNI.dll cloud_unum_usearch_Index.o -Wl,--add-stdcall-alias
# MacOS
g++ -std=c++11 -c -fPIC \
-I../../../../include \
-I../../../../fp16/include \
-I../../../../simsimd/include \
-I${JAVA_HOME}/include -I${JAVA_HOME}/include/darwin cloud_unum_usearch_Index.cpp -o cloud_unum_usearch_Index.o
g++ -dynamiclib -o libusearch.dylib cloud_unum_usearch_Index.o -lc
# Run linking to that directory
cd ../../../..
cp cloud/unum/usearch/libusearch.* .
java -cp . -Djava.library.path="$(pwd)" cloud.unum.usearch.Index
Setup the .NET environment:
dotnet nuget add source https://api.nuget.org/v3/index.json -n nuget.org
USearch provides CSharp bindings, that depend on the C library that must be installed beforehand. So one should first compile the C library, link it with CSharp, and only then run tests.
cmake -B ./build_artifacts -DUSEARCH_BUILD_LIB_C=1 -DUSEARCH_BUILD_TEST_C=1 -DUSEARCH_USE_OPENMP=1 -DUSEARCH_USE_SIMSIMD=1
cmake --build ./build_artifacts --config Release -j
Then, on Windows, copy the library to the CSharp project and run the tests:
mkdir -p ".\csharp\lib\runtimes\win-x64\native"
cp ".\build_artifacts\libusearch_c.dll" ".\csharp\lib\runtimes\win-x64\native"
cd csharp
dotnet test -c Debug --logger "console;verbosity=detailed"
dotnet test -c Release
brew install --cask wolfram-engine
docker build -t unum/usearch . && docker run unum/usearch
For multi-architecture builds and publications:
version=$(cat VERSION)
docker buildx create --use &&
docker login &&
docker buildx build \
--platform "linux/amd64,linux/arm64" \
--build-arg version=$version \
--file Dockerfile \
--tag unum/usearch:$version \
--tag unum/usearch:latest \
--push .
Extending metrics in SimSIMD:
git push --set-upstream https://github.com/ashvardanian/simsimd.git HEAD:main