Invert eligible BinaryColumns in the column pass

[Tim-Brooks]

BinaryColumns that are DOCS or DOCS_AND_FREQS, omitNorms, no TVs, and
not stored are now inverted directly in the column-oriented pass via
processBinaryColumnInvert, walking each column's cursor sparsely. When
any row-mode column is present in the batch, eligible columns are
demoted to the row pass so all inverted fields share a single
termsHash frame per doc.

processBinaryColumnInvert skips termsHash.startDocument/finishDocument:
those drive TermVectorsConsumer's segment-scoped lastDocID, and framing
the same batch doc from multiple eligible columns would break its
monotonicity invariant. Eligibility guarantees doVectors=false, so TV
state is never touched; unframed docs are reconciled by
TermVectorsConsumer.fill(). Exception handling mirrors processDocument:
pf.finish runs only if the first pf.invert returned normally.

The validation pass caches each column's PerField in docFields[] by
original column position; the row pass tracks original indices in
rowPfIndices[] instead of overwriting docFields[], so both passes can
reuse the cache without a second hash lookup.