Audit-friendly simulated CPU toolkit for logic, data-flow, and quantum-build checks
Project description
Simulated CPU Quantum Build Audit Toolkit
This project is packaged as an installable Python program named wifi-cpu.
It now acts as an audit toolkit for simulated CPU builds, with a focus on logic
flow, data flow, and audit checks for claimed quantum-style builds.
Project site:
https://fitzyracing1.github.io/mars-suit-communication-ai-cpu-sim/
What it does
It gives people a small simulated CPU they can install from pip and use to test:
- logic flow between instructions
- data flow through registers, memory, ports, and output
- custom programs loaded from text files
- audit specifications that verify a build against expected CPU behavior
- a Wi-Fi call demo path for the original concept
Install as a program
From the project root:
python3 -m pip install -e .
This installs a command-line program:
wifi-cpu --demo
You can also install test dependencies:
python3 -m pip install -e '.[test]'
Example usage
Run the built-in demo:
wifi-cpu --demo
Run the Wi-Fi call path:
wifi-cpu +14155550123
Run a custom program file:
wifi-cpu --program-file examples/data_flow.cpu
Run an audit spec:
wifi-cpu --audit-file examples/quantum_build_audit.json
Use it from Python:
from wifi_cpu import SimulatedCPU
program = """
LOAD R1 5
LOAD R2 8
ADD R1 R2 R3
EMIT R3
HALT
"""
cpu = SimulatedCPU()
cpu.load_program(program)
result = cpu.run_with_state()
print(result.trace)
print(result.state.output)
Instruction set
LOAD <register> <value>MOVE <source_register> <target_register>ADD <left_register> <right_register> <target_register>SUB <left_register> <right_register> <target_register>STORE <register> <memory_key>READ <memory_key> <register>SEND <register> <port_name>RECV <port_name> <register>EMIT <register>CALL_WIFI <number>HALT
Audit spec format
Audit files are JSON documents that declare a target build, a simulator, a program, and the expected observed behavior.
{
"name": "Quantum Uplink Build",
"target": "uplink-audit",
"simulator": "wifi_cpu",
"program": [
"LOAD R1 5",
"LOAD R2 8",
"ADD R1 R2 R3",
"EMIT R3",
"HALT"
],
"expectations": {
"halted": true,
"output": [13],
"registers": {"R3": 13},
"trace_contains": ["EMIT R3"]
}
}
If an audit expectation does not match the simulated CPU result, the CLI exits with a failing status and lists the findings.
Testing
Run the tests:
pytest
Build distributable files:
python3 -m pip install '.[build]'
python3 -m build
The built wheel and source tarball will be created in dist/.
Publishing
Build locally:
python3 -m build
Upload manually with Twine:
python3 -m pip install twine
python3 -m twine upload dist/*
Or use the GitHub Actions workflow in .github/workflows/publish-pypi.yml
with PyPI Trusted Publishing after configuring the project on PyPI.
Project structure
pyproject.toml: package metadata and CLI entry pointsrc/wifi_cpu/simulator.py: simulator coresrc/wifi_cpu/audit.py: audit model and report generationsrc/wifi_cpu/cli.py: command-line interfacetests/test_simulator.py: package teststests/test_audit.py: audit testsexamples/data_flow.cpu: sample custom programexamples/quantum_build_audit.json: sample audit speccpu_simulator.py: compatibility launcherindex.html: GitHub Pages landing pagerobots.txtandsitemap.xml: crawler metadata
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