TEST_RESULTS.md

Verification report — EIM+ Real Verification Engineer

Run date: 2026-10-09. Results below are from the local build environment; they do not imply that a Hugging Face Space or a live model API was exercised.

Tests that actually completed

Test	Result	What the result establishes
Python byte-compilation of project and test modules	PASS	No syntax/byte-compilation errors in these files.
python app.py --selftest	13/13	Core engine, real child-process verification, failure handling, timeouts, policy denial, duplicate-candidate handling and backend selection smoke checks.
python eim_plus.py --selftest	67/67	EIM+ repair-loop, holdout, mutation check, memory/repair-log, retries, ZeroGPU budgeting and cache checks. Exit code was 0.
python chat_app.py --selftest	28/28	Chat/EIM routing, streaming, file context, correction prompt use, report generation and working-code tracking with deterministic test doubles.
python eval_eim.py --selftest	7/7 harness checks	Evaluator sanity check with scripted model output; not a live-model benchmark. The intentionally poor scripted model's per-task FAIL lines are expected and are asserted by the self-test.
python test_terminal_verify.py	12/12	Actual OS subprocesses: stdout/stderr/exit capture, wrong output, exceptions, timeout/process-tree termination, path/safety gates and JSON evidence.
python test_correction_memory.py	11/11	Local correction persistence, deduplication, corrupt-line recovery, bounded file size, and an optional Hugging Face adapter exercised against a fake client. The remote adapter checks are mocked.
python test_eval_benchmarks.py	PASS	25 unique benchmark tasks; all 150 reference assertions passed in-process. This validates the benchmark references, not model-generated answers.
Gradio UI construction	PASS	build_ui() successfully constructed a Blocks app in local Gradio 6.5.1 and exposed the compatible launch options. The server was not launched on Hugging Face.
Simulated ZeroGPU backend selection	PASS	With SPACE_ID and SPACES_ZERO_GPU=1, app.py --backend-check selected local. No model weights were loaded in this check.
ZIP archive integrity	PASS	unzip -t on the delivered ZIP reports no errors.

Not verified here

• Live generation from Qwen or any other model: transformers and spaces are not installed in the local test environment and no valid HF_TOKEN is configured.
• A real before/after coding-accuracy benchmark against the same live model/settings: not run; conclusion is inconclusive.
• A real push/pull against a private Hugging Face Dataset: adapter tests use a fake client; real token scopes, repository permissions and network sync must be verified in the deployed Space.
• Security-grade isolation: the subprocess verifier has time/resource limits and policy checks but is not an OS sandbox. For public untrusted code, use a disposable container/VM with filesystem restrictions and network disabled.

Recommended deployment check

After pushing to your eligible ZeroGPU Space, inspect build/runtime logs, run a simple assertion task, then configure a private Dataset repository and a write-scoped HF_TOKEN if correction/repair memory must survive Space restarts. Hugging Face's current ZeroGPU eligibility and quota rules are documented at https://huggingface.co/docs/hub/en/spaces-zerogpu.