Uses of Class
net.cscott.sdr.calls.transform.Evaluator

Packages that use Evaluator

net.cscott.sdr.calls	This package contains the square dance choreography engine, and the basic types and interfaces required to communicate with it.
net.cscott.sdr.calls.ast	This package contains the abstract syntax used for call definition and evaluation.
net.cscott.sdr.calls.lists	This package contains call lists and generated natural-language parsers for the various square dance programs.
net.cscott.sdr.calls.transform	This package contains code to parse call lists and transform call abstract syntax in various ways.

Uses of Evaluator in net.cscott.sdr.calls

Methods in net.cscott.sdr.calls that return Evaluator

abstract Evaluator

Call.getEvaluator(Apply ast) Returns the Evaluator to use on the result of an application, or null to use the Evaluator.Standard evaluator.

Uses of Evaluator in net.cscott.sdr.calls.ast

Methods in net.cscott.sdr.calls.ast that return Evaluator

Evaluator

Apply.evaluator()

Uses of Evaluator in net.cscott.sdr.calls.lists

Subclasses of Evaluator in net.cscott.sdr.calls.lists

static class

BasicList.LRMEvaluator Evaluator for left, reverse, and mirror.

Methods in net.cscott.sdr.calls.lists that return Evaluator

Evaluator

BasicList.LRMEvaluator.evaluate(DanceState ds)

Uses of Evaluator in net.cscott.sdr.calls.transform

Subclasses of Evaluator in net.cscott.sdr.calls.transform

static class	Evaluator.EvaluatorChain Chains multiple evaluators together.
static class	Evaluator.Standard This is the standard top level evaluator.

Methods in net.cscott.sdr.calls.transform that return Evaluator

abstract Evaluator	Evaluator.evaluate(DanceState ds) Do "one part" of the continuation, and return an Evaluator which will do the remaining parts, or null if there are no additional parts to evaluate.
Evaluator	Evaluator.Standard.evaluate(DanceState ds)
Evaluator	Evaluator.EvaluatorChain.evaluate(DanceState ds)

Constructors in net.cscott.sdr.calls.transform with parameters of type Evaluator

Evaluator.EvaluatorChain(Evaluator head, Evaluator next)