title: Build and Test sidebar_position: 1 id: index license: | Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Contributor documentation covers repository setup, builds, tests, debugging, and release-oriented workflows. It is separate from the user guides for released artifacts.
Clone the source tree from https://github.com/apache/fory.
cd java mvn -T16 package
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cd python pip install -v -e . # Optional: build Cython extension (replace X.Y with your Python version) bazel build //:cp_fory_so --@rules_python//python/config_settings:python_version=X.Y
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cd cpp bazel build //cpp/...
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cd go/fory go test -v ./...
Run Go xlang tests from the Java test module:
cd java mvn -T16 install -DskipTests cd fory-core FORY_GO_JAVA_CI=1 ENABLE_FORY_DEBUG_OUTPUT=1 mvn test -Dtest=org.apache.fory.xlang.GoXlangTest
Requirement: Go 1.24+.
cd rust cargo build cargo test --features tests # Debug a specific test RUST_BACKTRACE=1 FORY_PANIC_ON_ERROR=1 ENABLE_FORY_DEBUG_OUTPUT=1 \ cargo test --test mod $dir$::$test_file::$test_method -- --nocapture
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cargo-expand (optional, for macro expansion debugging)cd javascript npm install npm run build node ./node_modules/.bin/jest --ci --reporters=default --reporters=jest-junit
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cd docs npx prettier --write "**/*.md"
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See Debugging C++ for the repository's VS Code, Bazel, LLDB, and GDB setup.
Language-specific contributor instructions remain in each language's source tree and contributor README when they are not part of the shared repository build.
For contribution details, see How to contribute to Apache Fory™. For AI-assisted contributions, follow the AI Contribution Policy, including the required self-review, two-reviewer AI review loop, disclosure, and verification evidence for substantial AI assistance.