krickert commented on PR #1478:
URL: https://github.com/apache/opennlp/pull/1478#issuecomment-6115625411

   Thanks, done in the new push:
   
   - Dropped `ParserBuilder`; the new `ParserFactory.create(model, tagger, 
chunker, beamSize, advancePercentage)` covers the use case.
   - Added `ParamChecks.requirePositive(int, String)` (same signature as #1323) 
and `requirePositiveFraction(double, String)` for (0, 1], both tested in 
`ParamChecksTest`; `AbstractBottomUpParser` uses them. The other copies are 
left for a separate issue as suggested.
   - One `@ParameterizedTest` per entry point for nulls and one for 
out-of-range values, plus accept rows for beam size 1 and advance percentage 
1.0 and 0.01.
   - `parser.xml` describes the current behaviour without the version.
   - README lists the stricter beam size and advance percentage checks as 
breaking.


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