public BasicRule(
ParsedRule parsedInfo,
int branchOpenSymbol,
int branchCloseSymbol)
{
_targetSymbolWithParameters = parsedInfo.coreSymbol;
ruleGroupIndex = parsedInfo.ruleGroupIndex;
possibleOutcomes = new RuleOutcome[] {
new RuleOutcome(1, parsedInfo.replacementSymbols)
};
conditionalChecker = parsedInfo.conditionalMatch;
backwardsMatchBuilder = new SymbolSeriesPrefixBuilder(parsedInfo.backwardsMatch);
forwardsMatchBuilder = new SymbolSeriesSuffixBuilder(parsedInfo.forwardsMatch);
forwardsMatchBuilder.BuildGraphIndexes(branchOpenSymbol, branchCloseSymbol);
CapturedLocalParameterCount = _targetSymbolWithParameters.parameterLength +
backwardsMatchBuilder.targetSymbolSeries.Sum(x => x.parameterLength) +
forwardsMatchBuilder.targetSymbolSeries.Sum(x => x.parameterLength);
}
/// <summary>
/// Create a new basic rule with multiple random outcomes.
/// It is garenteed and required that all of the stochastic rules will capture the
/// same parameters
/// </summary>
/// <param name="parsedRules"></param>
public BasicRule(IEnumerable <ParsedStochasticRule> parsedRules, int branchOpenSymbol, int branchCloseSymbol)
{
possibleOutcomes = parsedRules
.Select(x =>
new RuleOutcome(x.probability, x.replacementSymbols)
).ToArray();
var firstOutcome = parsedRules.First();
_targetSymbolWithParameters = firstOutcome.coreSymbol;
ruleGroupIndex = firstOutcome.ruleGroupIndex;
conditionalChecker = firstOutcome.conditionalMatch;
backwardsMatchBuilder = new SymbolSeriesPrefixBuilder(firstOutcome.backwardsMatch);
forwardsMatchBuilder = new SymbolSeriesSuffixBuilder(firstOutcome.forwardsMatch);
forwardsMatchBuilder.BuildGraphIndexes(branchOpenSymbol, branchCloseSymbol);
CapturedLocalParameterCount = _targetSymbolWithParameters.parameterLength +
backwardsMatchBuilder.targetSymbolSeries.Sum(x => x.parameterLength) +
forwardsMatchBuilder.targetSymbolSeries.Sum(x => x.parameterLength);
}