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Multi-Test Strategy

This example shows the preferred everyday pattern.

Python is still only the authoring surface, but Observer now sees several granular targets tied to real product behavior.

The target set includes proofs such as:

  • compiler/emits-canonical-json
  • compiler/rejects-missing-unit-header
  • package/writes-license-metadata

That is much more valuable than one large wrapper target because inventory, reports, and compare artifacts now reflect the real verification surface.

Layout

multi-test-strategy/
  Makefile
  observer.toml
  tests.obs
  src/
    package_tool.py
    package_observer_host.py

Fast Path

make list
make inventory
make run
make report

Why This Is Better

Each target answers one product question.

When one target fails, you learn which contract regressed instead of only learning that one orchestration script exited nonzero.