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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.daffodil.processors
import org.apache.daffodil.util.Maybe
import org.apache.daffodil.processors.dfa.DFAField
import org.apache.daffodil.processors.dfa.CreateFieldDFA
class FieldDFAParseEv(val escapeSchemeEv: Maybe[EscapeSchemeParseEv], rd: RuntimeData)
extends Evaluatable[DFAField](rd)
with InfosetCachedEvaluatable[DFAField] {
override lazy val runtimeDependencies = escapeSchemeEv.toList
def compute(state: ParseOrUnparseState) = {
val fieldDFA =
if (escapeSchemeEv.isDefined) {
val es = escapeSchemeEv.get.evaluate(state)
es match {
case s: EscapeSchemeBlockParserHelper => CreateFieldDFA()
case s: EscapeSchemeCharParserHelper => CreateFieldDFA(s.ec, s.eec)
}
} else {
CreateFieldDFA()
}
fieldDFA
}
}