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- FFI: add RVM/Program APIs, execution state accessors, HostAwait handling, and buffer/result helpers in rvm.rs, common.rs, engine.rs. - Compiler: emit HostAwait for __builtin_host_await in function_calls.rs. - RVM tests: add HostAwait regression cases and extend harness for suspend/resume responses in host_await.yaml and mod.rs. - C/C++: add RVM tests/examples and wrapper updates in rvm_tests.c, rvm_tests.cpp, regorus.hpp, plus CMake wiring. - C#: add Program/Rvm bindings, SafeHandle/PInvoke, tests, and example usage in Regorus, RvmProgramTests.cs, Program.cs, and README updates. - Go: add Program/Rvm bindings, tests, and examples in rvm.go, rvm_test.go, main.go. - Java: add Program/Rvm bindings, JNI glue, and examples in lib.rs, regorus, Test.java. - Python: add Program/Rvm bindings and examples in lib.rs, test.py. - WASM: add Program/Rvm bindings and examples in lib.rs, test.js. - Tooling: wire binding tests in xtask and ignore generated Java artifacts in .gitignore. Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>
regorus
Regorus is
- Rego-Rus(t) - A fast, light-weight Rego interpreter written in Rust.
- Rigorous - A rigorous enforcer of well-defined Rego semantics.
Regorus can be used in Python via regorus package. (It is not yet available in PyPI, but can be manually built.)
See Repository.
Automation
Run cargo xtask build-python to produce wheels via maturin, or cargo xtask test-python to reinstall the package locally and execute the sample script and pytest suite.
To build this binding, see building
Usage
import regorus
# Create engine
engine = regorus.Engine()
# Load policies
engine.add_policy_from_file('../../tests/aci/framework.rego')
engine.add_policy_from_file('../../tests/aci/api.rego')
engine.add_policy_from_file('../../tests/aci/policy.rego')
# Add policy data
data = {
"metadata": {
"devices": {
"/run/layers/p0-layer0": "1b80f120dbd88e4355d6241b519c3e25290215c469516b49dece9cf07175a766",
"/run/layers/p0-layer1": "e769d7487cc314d3ee748a4440805317c19262c7acd2fdbdb0d47d2e4613a15c",
"/run/layers/p0-layer2": "eb36921e1f82af46dfe248ef8f1b3afb6a5230a64181d960d10237a08cd73c79",
"/run/layers/p0-layer3": "41d64cdeb347bf236b4c13b7403b633ff11f1cf94dbc7cf881a44d6da88c5156",
"/run/layers/p0-layer4": "4dedae42847c704da891a28c25d32201a1ae440bce2aecccfa8e6f03b97a6a6c",
"/run/layers/p0-layer5": "fe84c9d5bfddd07a2624d00333cf13c1a9c941f3a261f13ead44fc6a93bc0e7a"
}
}
}
engine.add_data(data)
# Set input
input = {
"containerID": "container0",
"layerPaths": [
"/run/layers/p0-layer0",
"/run/layers/p0-layer1",
"/run/layers/p0-layer2",
"/run/layers/p0-layer3",
"/run/layers/p0-layer4",
"/run/layers/p0-layer5"
],
"target": "/run/gcs/c/container0/rootfs"
}
engine.set_input(input)
# Eval rule
value = engine.eval_rule('data.framework.mount_overlay')
# Print value
print(value)