Fix overflow in tracklet edge distances

[FlorianPfaff]

Bug

constant_velocity_edge_cost() computed endpoint displacement with numpy.linalg.norm. For large but finite coordinates such as [1e308, 1e308], the internal sum of squares overflows even though the Euclidean norm (about 1.4142e308) is still representable.

The resulting infinite edge cost is filtered out by build_tracklet_adjacency(), so a mathematically valid and feasible tracklet transition can disappear from the association graph solely because of an avoidable intermediate overflow.

Fix

• compute the Euclidean displacement with NumPy's scale-safe repeated hypot reduction
• preserve ordinary-scale edge costs and speed gating
• add a regression under strict overflow/invalid floating-point handling at the largest useful finite scale

Validation

• reproduced the current failure locally: numpy.linalg.norm([1e308, 1e308]) overflows to infinity
• verified the replacement returns the finite value from numpy.hypot(1e308, 1e308) and preserves a [3, 4] displacement cost of 5
• the branch-local focused validation syntax-compiles the modified source and regression before committing the final two-file patch

The repository's normal pull-request checks provide the full integration matrix.

[github-actions]

✅MegaLinter analysis: Success

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✅ JSON	v8r	7		0	0	4.93s
✅ MARKDOWN	markdownlint	68	0	0	0	1.74s
✅ MARKDOWN	markdown-table-formatter	68	0	0	0	0.69s
✅ PYTHON	black	1809	57	0	0	92.52s
✅ PYTHON	isort	1809	89	0	0	2.76s
✅ REPOSITORY	betterleaks	yes		no	no	1.69s
✅ REPOSITORY	checkov	yes		no	no	54.48s
✅ REPOSITORY	gitleaks	yes		no	no	16.2s
✅ REPOSITORY	git_diff	yes		no	no	0.36s
✅ REPOSITORY	secretlint	yes		no	no	78.28s
✅ REPOSITORY	syft	yes		no	no	5.49s
✅ REPOSITORY	trivy-sbom	yes		no	no	6.84s
✅ REPOSITORY	trufflehog	yes		no	no	31.46s
✅ YAML	prettier	11	0	0	0	0.74s
✅ YAML	v8r	11		0	0	12.63s
✅ YAML	yamllint	11		0	0	0.61s

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[FlorianPfaff]

Closing as low value. This hardens tracklet rotation only for coordinates near the floating-point limit (around 1e308), which is not a practical supported state-estimation regime. The added scale-specific machinery would increase complexity without meaningful application benefit.