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272 lines
8.6 KiB
Dart
272 lines
8.6 KiB
Dart
import 'dart:math';
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import 'package:matrix/matrix.dart';
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import 'package:fluffychat/pangea/analytics_misc/construct_use_type_enum.dart';
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import 'package:fluffychat/pangea/analytics_misc/constructs_model.dart';
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import 'package:fluffychat/pangea/choreographer/models/choreo_record.dart';
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import 'package:fluffychat/pangea/choreographer/models/pangea_match_model.dart';
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import 'package:fluffychat/pangea/common/utils/error_handler.dart';
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import 'package:fluffychat/pangea/events/models/pangea_token_model.dart';
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import 'package:fluffychat/pangea/toolbar/models/speech_to_text_models.dart';
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import 'package:fluffychat/widgets/matrix.dart';
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/// this class is contained within a [RepresentationEvent]
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/// this event is the child of a [EventTypes.Message]
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/// the event has two potential children events -
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/// [PangeaTokensEvent] and [PangeaIGCEvent]
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/// these events contain [PangeaMessageTokens] and [ChoreoRecord], respectively.
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class PangeaRepresentation {
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/// system-detected language, possibly condensed from a list,
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/// but only with high certainty
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/// cannot be "unk"
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String langCode;
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/// final sent text
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/// if this was a process, a [PangeaIGCEvent] will contain changes
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String text;
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bool originalSent;
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bool originalWritten;
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// a representation can be create via speech to text on the original message
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SpeechToTextModel? speechToText;
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// how do we know which representation was sent by author?
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// RepresentationEvent.text == PangeaMessageEvent.event.body
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// use: to know whether directUse
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// how do we know which representation was original L1 message that was translated (if it exists)?
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// (of l2 rep) RepresentationEvent.igc.steps.first.text = RepresentationEvent.text (of L1 rep)
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// use: for base text for future translations
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// os = true and ow = false
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// rep that went through IGC/IT
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// os = false and ow = false
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// rep added by other user
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// os = true and ow = true
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// potentially L1 language use, maybe with limited IGC, and ignored out of target cries
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// potentially perfect L2 use
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// os = false and ow = true
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// L1 message that then went through significant IGC and/or IT
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// L2 message with errors that went through IGC
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PangeaRepresentation({
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required this.langCode,
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required this.text,
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required this.originalSent,
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required this.originalWritten,
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this.speechToText,
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});
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factory PangeaRepresentation.fromJson(Map<String, dynamic> json) {
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return PangeaRepresentation(
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langCode: json[_langCodeKey],
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text: json[_textKey],
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originalSent: json[_originalSentKey] ?? false,
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originalWritten: json[_originalWrittenKey] ?? false,
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speechToText: json[_speechToTextKey] == null
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? null
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: SpeechToTextModel.fromJson(json[_speechToTextKey]),
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);
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}
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static const _textKey = "txt";
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static const _langCodeKey = "lang";
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static const _originalSentKey = "snt";
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static const _originalWrittenKey = "wrttn";
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static const _speechToTextKey = "stt";
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Map<String, dynamic> toJson() {
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final data = <String, dynamic>{};
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data[_textKey] = text;
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data[_langCodeKey] = langCode;
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if (originalSent) data[_originalSentKey] = originalSent;
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if (originalWritten) data[_originalWrittenKey] = originalWritten;
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if (speechToText != null) {
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data[_speechToTextKey] = speechToText!.toJson();
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}
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return data;
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}
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/// Get construct uses for the message that weren't captured during language assistance.
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/// Takes a list of tokens and a choreo record, which is searched
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/// through for each token for its construct use type.
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/// Also takes either an event (typically when the Representation itself is
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/// available) or construct use metadata (when the event is not available,
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/// i.e. immediately after message send) to create the construct use.
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List<OneConstructUse> vocabAndMorphUses({
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required List<PangeaToken> tokens,
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Event? event,
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ConstructUseMetaData? metadata,
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ChoreoRecord? choreo,
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}) {
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final List<OneConstructUse> uses = [];
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final l2 = MatrixState.pangeaController.languageController.userL2;
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if (langCode.split("-")[0] != l2?.langCodeShort) return uses;
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// missing vital info so return
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if (event?.roomId == null && metadata?.roomId == null) {
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// debugger(when: kDebugMode);
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return uses;
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}
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metadata ??= ConstructUseMetaData(
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roomId: event!.roomId!,
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eventId: event.eventId,
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timeStamp: event.originServerTs,
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);
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// for each token, record whether selected in ga, ta, or wa
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List<PangeaToken> tokensToSave =
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tokens.where((token) => token.lemma.saveVocab).toList();
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if (choreo != null && choreo.pastedStrings.isNotEmpty) {
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tokensToSave = tokensToSave
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.where(
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(token) => !choreo.pastedStrings.any(
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(pasted) => pasted
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.toLowerCase()
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.contains(token.text.content.toLowerCase()),
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),
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)
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.toList();
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}
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if (choreo == null ||
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(choreo.choreoSteps.isEmpty && choreo.itSteps.isEmpty)) {
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for (final token in tokensToSave) {
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uses.addAll(
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token.allUses(
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ConstructUseTypeEnum.wa,
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metadata,
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ConstructUseTypeEnum.wa.pointValue,
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),
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);
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}
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return uses;
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}
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for (final token in tokensToSave) {
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ChoreoRecordStep? tokenStep;
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for (final step in choreo.choreoSteps) {
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final igcMatch = step.acceptedOrIgnoredMatch;
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final itStep = step.itStep;
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if (itStep == null && igcMatch == null) {
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continue;
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}
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final choices = step.choices;
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if (choices == null || choices.isEmpty) {
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continue;
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}
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final stepContainsToken = choices.any(
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(choice) => choice.contains(token.text.content),
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);
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// if the step contains the token, and the token hasn't been assigned a step
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// (or the assigned step is an IGC step, but an IT step contains the token)
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// then assign the token to the step
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if (stepContainsToken &&
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(tokenStep == null ||
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(tokenStep.itStep == null && step.itStep != null))) {
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tokenStep = step;
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}
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}
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if (tokenStep == null ||
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tokenStep.acceptedOrIgnoredMatch?.status ==
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PangeaMatchStatus.automatic) {
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// if the token wasn't found in any IT or IGC step, so it was wa
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uses.addAll(
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token.allUses(
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ConstructUseTypeEnum.wa,
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metadata,
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ConstructUseTypeEnum.wa.pointValue,
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),
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);
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continue;
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}
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if (tokenStep.acceptedOrIgnoredMatch != null &&
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tokenStep.acceptedOrIgnoredMatch?.status !=
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PangeaMatchStatus.accepted) {
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uses.addAll(
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token.allUses(
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ConstructUseTypeEnum.ga,
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metadata,
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0,
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),
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);
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continue;
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}
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if (tokenStep.itStep != null) {
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final selectedChoices = tokenStep.itStep!.continuances
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.where((choice) => choice.wasClicked)
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.length;
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if (selectedChoices == 0) {
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ErrorHandler.logError(
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e: "No selected choices for IT step",
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data: {
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"token": token.text.content,
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"step": tokenStep.toJson(),
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},
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);
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continue;
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}
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final corITPoints = ConstructUseTypeEnum.corIt.pointValue;
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final incITPoints = ConstructUseTypeEnum.incIt.pointValue;
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final xp = max(
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0,
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corITPoints + (incITPoints * (selectedChoices - 1)),
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);
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uses.addAll(
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token.allUses(
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ConstructUseTypeEnum.ta,
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metadata,
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xp,
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),
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);
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} else if (tokenStep.acceptedOrIgnoredMatch!.match.choices != null) {
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final selectedChoices = tokenStep.acceptedOrIgnoredMatch!.match.choices!
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.where((choice) => choice.selected)
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.length;
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if (selectedChoices == 0) {
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ErrorHandler.logError(
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e: "No selected choices for IGC step",
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data: {
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"token": token.text.content,
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"step": tokenStep.toJson(),
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},
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);
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continue;
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}
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final corIGCPoints = ConstructUseTypeEnum.corIGC.pointValue;
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final incIGCPoints = ConstructUseTypeEnum.incIGC.pointValue;
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final xp = max(
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0,
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corIGCPoints + (incIGCPoints * (selectedChoices - 1)),
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);
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uses.addAll(
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token.allUses(
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ConstructUseTypeEnum.ga,
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metadata,
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xp,
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),
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);
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}
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}
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return uses;
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}
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}
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