fix(python): validate numpy vector queries safely#502
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Summary
This is a small Python SDK validation hardening change.
When
Query._validate()receives bothidand a numpy vector, the previous truthiness check (self.id and self.vector) can trigger numpy's ambiguous truth-value error before Zvec raises its intended validation error.This switches the check to the existing
has_id()/has_vector()helpers and adds a regression test.Tests
python -m ruff check python\zvec\model\param\query.py python\tests\test_params.py$env:PYTHONPATH='python'; python -m pytest -o addopts= python/tests/test_params.py::TestQuery python/tests/test_fts_query.py::TestFtsQueryValidation -q