Handle matrix sequence conversion runtime errors#4373
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FlorianPfaff merged 2 commits intoJul 14, 2026
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Summary
RuntimeErrorduring outer matrix-sequence conversion like the existingTypeErrorandValueErrorcasesRoot cause
AbstractSmoother._normalize_matrix_sequence()first tries to convert the complete input sequence with the active backend'sasarray(). Some backends raiseRuntimeError, rather thanTypeErrororValueError, when a Python sequence cannot be converted as one dense array. The vector-sequence counterpart already handles this backend behavior, but the matrix-sequence path did not. Consequently, valid per-step matrix sequences could fail before the existing per-entry fallback was reached.Impact
Matrix sequence normalization now behaves consistently with vector sequence normalization and remains usable when a backend cannot stack the outer Python sequence directly. Inputs that are genuinely invalid still fail through the existing validation path.
Validation
mainand zero behindRuntimeErroronly for the outer sequence and verifies both matrices are normalized through the fallbackThe full backend test matrix is delegated to GitHub Actions.