fix(local): keep cosine re-upserts idempotent

[DeepanshuPal]

Fixes #1411. Local inserts normalize after converting dense vectors to float32, but updates normalized the original Python values before storage. Converting updates first keeps repeated cosine upserts stable and matches the insert path. Tests: python -m pytest qdrant_client/local/tests/test_vectors.py tests/test_in_memory.py -q (9 passed); ruff check qdrant_client/local/local_collection.py tests/test_in_memory.py.

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• qdrant_client/local/local_collection.py
• tests/test_in_memory.py

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📝 Walkthrough

Walkthrough

The local _update_point path now converts dense vectors to float32 before cosine normalization and storage. This aligns updated vectors with the existing add and named-vector paths. A new in-memory test verifies that re-upserting an identical cosine vector returns the same stored vector.

Priority: ➖ Normal

Estimated code review effort: 2 (Simple) | ~10 minutes

Change: Bug fix · Severity of issue fixed: Medium

Suggested reviewers: joein

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 33.33% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 3 functions across 2 files.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly summarizes the main change: fixing idempotent cosine vector re-upserts in local mode.
Description check	✅ Passed	The description directly explains the float32 conversion fix, its purpose, linked issue, and validation results.
Linked Issues check	✅ Passed	The changes satisfy #1411. _update_point now converts dense vectors to np.float32 before cosine normalization and storage. This matches the insert path. The new `test_reupserting_identical_cosine_…
Out of Scope Changes check	✅ Passed	The reviewed changes are limited to the local dense-vector update path and a focused in-memory regression test. Both changes directly support #1411 and its precision-alignment requirements. No unrelat…

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