NZ source-only Axiom transport and entitlement smoke
Maintainers usually reply within 1 day
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 38/100
Research direction
Start with #506 and the shared Simulation API entry point; trace the NZ adapter boundary, Microcosm entity-table HDF5 inputs, Frame weight resolution, and the Axiom official-budget module for 2026–27. Use the requested focused boundary tests, opt-in real-runtime tests, and executable example as completion checks, including rejection of missing or unsupported inputs and recording source, input, and runtime hashes.
Written by the indexing model from the issue text.
Description
Implement the source-only integration slice of #506: a Pydantic NZ dataset/model adapter through the shared Simulation API; read Microcosm entity-table HDF5 with exact decimal and nullable-boolean decoding; resolve person/family weights through Frame from the sole household weight vector; execute the actual Axiom official-budget module for explicit tax year 2026–27; reject missing inputs and unsupported controls; preserve source files and record input/runtime hashes; provide focused boundary and opt-in real-runtime tests plus an executable example.
This issue does not include a calibrated population, certified country release, fiscal/payment/debt bridges, or completed national Scorecard replications. Those remain tracked in #506 and the NZ country-expansion dependencies.
- Dominant language
- Python
- Stars
- 8
- Forks
- 9
- Avg merge
- 15h 28m
- Merged PRs (30d)
- 13
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from PolicyEngine/policyengine.py
-
Raise the simulation cache memory warning to 16 GiBPossibly taken @anth-volk claimed this 5 days ago. Open
Difficulty 2/5 1-3 hours Newbie friendliness 76/100
PolicyEngine/policyengine.py#549 ·
Maintainers usually reply within 1 day
-
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
PolicyEngine/policyengine.py#473 ·
Maintainers usually reply within 1 day
-
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
PolicyEngine/policyengine.py#436 · 1 comment ·
Maintainers usually reply within 1 day
-
Certify populace-uk as the UK certified defaultMay be free again A pull request for this issue was closed without being merged. Open
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
PolicyEngine/policyengine.py#408 ·
Maintainers usually reply within 1 day
-
Resolve US state and congressional-district regions to the ACS local-area datasetPossibly taken A pull request linked to this issue is open or already merged. Open
Difficulty 4/5 3-5 days Newbie friendliness 48/100
PolicyEngine/policyengine.py#551 ·
Maintainers usually reply within 1 day
All issues in PolicyEngine/policyengine.py
Similar issues
-
needs-human needs-triage
Difficulty 2/5 1-3 hours Newbie friendliness 76/100
gke-labs/kube-agents#2400 · 1 comment ·
Maintainers usually reply within 1 day
-
Device Details tables: FS/SF columns contradict each other (nfet_01v8 Vt row, pfet_01v8 Idsat row)Open
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
google/skywater-pdk#450 ·
-
Drained trajectory arrays are overwritten when the sequence buffer is reusedPossibly taken @sylvesterkaczmarek claimed this today. Open
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
google-deepmind/bsuite#56 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 82/100
LearningCircuit/local-deep-research#7206 ·
Maintainers usually reply within 1 day
-
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
chingu-voyages/V62-tier3-team-33#285 ·
Maintainers usually reply within 1 day