CI: Competency

[itssaharsh]

Description

Problem or Issue being addressed

This PR completes the competency test requirement for property-based testing on PSBTParser.

Current tests validate parser behavior with hand-crafted fixtures, but the accounting invariant was not exercised under a property-style repeated replay harness.

Solution

I added one focused Hypothesis test that replays the four existing known-good single-sig PSBT fixtures for 100 generated examples and validates the core invariant:

input_amount = spend_amount + change_amount + fee_amount

I also added Hypothesis to test dependencies.

Changed files:

• tests/requirements.txt
• tests/test_psbt_parser.py

Competency Evidence

• Fork branch: competency/psbt-hypothesis-invariant
• Commit: 15876fc
• CI run on fork: https://github.com/itssaharsh/seedsigner/actions/runs/24928291175
• CI result: completed, success
• Local validation: pytest -q passed (146 passed)
• Diff scope: 2 files changed, 40 insertions

Additional Information

Scope is intentionally minimal and mergeable for the competency test only.

Not included in this PR:

• full PSBT generation strategies beyond fixture replay
• QR classification property suite
• coverage threshold workflow enforcement
• benchmark harness additions

Screenshots

N/A. No UI changes.

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This pull request is categorized as a:

• New feature
• Bug fix
• Code refactor
• Documentation
• Other

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Checklist

I ran pytest locally

• All tests passed before submitting the PR
• I couldn't run the tests
• N/A

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I included screenshots of any new or modified screens

Should be part of the PR description above.

• Yes
• No
• N/A

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I added or updated tests

Any new or altered functionality should be covered in a unit test. Any new or updated sequences require FlowTests.

• Yes
• No, I’m a fool
• N/A

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I tested this PR hands-on on the following platform(s):

• Raspberry Pi OS Manual Build
• SeedSigner OS on a Pi0/Pi0W board
• Emulator

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I have reviewed these notes:

• I understand

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[kdmukai]

NACK.

See: #931

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Also note the copy-paste miss from your AI in the PR description.