goldenmatch v2.2.0

Added

• Semantic blocking: an opt-in recall lever for abbreviations and aliases (#1065).
  New SemanticBlockingConfig plus a dedupe_df(semantic_blocking=...) flag union
  extra candidate sources into the pipeline: an initialism/abbreviation blocking
  transform, a business-alias canonical-form table, and an embedding ANN pass with a
  numpy all-pairs fallback (faiss optional, get_embedder("inhouse") works zero-config).
  Off by default. On the abbreviation-heavy benchmark it adds +5.3pp recall at zero
  precision cost.
• config_weaknesses: a deterministic config-critique tool (#1064).
  New core/config_critique.py::diagnose_config(df, config, result) is a pure, offline
  generator that explains in plain English where an auto-built matching config is risky:
  a source/provenance column admitted as a matching signal, a per-row identifier admitted
  as a key, oversized shared-value blocks, null-sink and low-signal matchkeys, and
  over-merge mega-clusters. Each finding maps to one concrete fix (exclude_column, tighten
  blocking, demote, raise_threshold) and findings are ranked high-to-low. No engine run
  required; phrasing="plain" (default) and "technical" are both deterministic.

Security

• Removed a ReDoS in the initialism parenthetical regex (#1067).
  A leading \s* in the acronym parser backtracked polynomially on long whitespace runs
  not followed by ( (CodeQL py/polynomial-redos, high severity, introduced with the
  semantic-blocking work in #1065). The fix drops the \s*; the subsequent .split()
  normalizes any leftover whitespace, so it is behavior-identical and linear.