Package opennlp.tools.commons
Annotationsschnittstelle ThreadSafe
Classes, fields, or methods annotated 
@ThreadSafe are safe to use
 in multithreading contexts. In general, classes that adhere to (one of)
 the following concepts:
 - Statelessness: no methods relies on external state or maintain state at all,
 - Immutability: all attributes are 
finalso that internal state can't be modified at all, - Thread locality: non-
finalfields are only accessed via an independently initialized copy, - Atomicity: all operations on fields are perform via
      
atomic data types, or - Synchronization: all non-final methods, fields, or
      method local variables are manipulated via locks, that is, in a
      
synchronizedmanner 
- 
Optionale Elemente - Übersicht
Optionale Elemente 
- 
Elementdetails
- 
since
String sinceThe OpenNLP release when an element was first declaredthread-safe.- Standard:
 ""
 
 -