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Add ExecuteAsync to Strategy row in README pattern table.
Made with Cursor
Part of Epic 7: E2E Automation (#292).
The five Playwright agents (pw-team, pw-dom-analyzer, pw-framework-builder, pw-test-writer, pw-reviewer) live in global
user config. To build RTIA s E2E suite we ...
Epic 7: E2E Automation
test_mcda.py has 175 tests, and every one of them exercises the numpy or dask+numpy path. Gaps found while auditing
xrspatial/mcda for the test-coverage sweep:
No cupy or dask+cupy tests. standardize.py ...
backend-coverage
gpu
sweep-test-coverage
tests
policyengine-bundles is moving to schema v2 registry bundle archives. policyengine.py needs an importer that can consume
those archives before the bundles publishing workflow can automatically open consuming ...
Close the remaining PLAN.md gaps by returning stored JPEG bytes from the photo endpoint and adding coverage for
timestamp validation, disabled pods, unknown metrics, photo auth and size limits, MQTT worker ...
An API consistency pass over xrspatial.mcda (10 public functions) found four user-facing inconsistencies.
1. owa() calls its criterion-weights dict criterion_weights; the other combiners call it weights ...
api
bug
documentation
Describe the bug
constrain() in xrspatial/mcda/constrain.py returns a DataArray with empty attrs whenever exclude contains at least one
mask. The loop rewrites the result with xr.where(mask, fill, result), ...
bug
Found while auditing xrspatial/mcda for backend parity. Several code paths written to support cupy and dask raise
instead of returning results. The numpy paths are fine.
owa fails on every dask backend. ...
backend-coverage
bug
gpu
Describe the bug sensitivity(..., method= monte_carlo ) calls criteria.compute() when the input Dataset is dask-backed
(_monte_carlo in xrspatial/mcda/sensitivity.py). That pulls every criterion layer ...
area:mcda
bug
dask
oom
sweep-security

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