233 lines
9.7 KiB
Swift
233 lines
9.7 KiB
Swift
// (c) 2021 and onwards The vChewing Project (MIT-NTL License).
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// ====================
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// This code is released under the MIT license (SPDX-License-Identifier: MIT)
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// ... with NTL restriction stating that:
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// No trademark license is granted to use the trade names, trademarks, service
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// marks, or product names of Contributor, except as required to fulfill notice
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// requirements defined in MIT License.
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import Shared
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// MARK: - InputHandler Delegate
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extension SessionCtl: InputHandlerDelegate {
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public var clientBundleIdentifier: String {
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guard let client = client() else { return "" }
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return client.bundleIdentifier() ?? ""
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}
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public func candidateController() -> CtlCandidateProtocol? { candidateUI }
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public func candidateSelectionCalledByInputHandler(at index: Int) {
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candidatePairSelected(at: index)
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}
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public func callError(_ logMessage: String) {
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vCLog(logMessage)
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IMEApp.buzz()
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}
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public func performUserPhraseOperation(addToFilter: Bool) -> Bool {
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guard let inputHandler = inputHandler, state.type == .ofMarking else { return false }
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if !LMMgr.writeUserPhrase(
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state.data.userPhraseDumped, inputMode: inputMode,
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areWeDuplicating: state.data.doesUserPhraseExist,
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areWeDeleting: addToFilter
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)
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|| !LMMgr.writeUserPhrase(
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state.data.userPhraseDumpedConverted, inputMode: inputMode.reversed,
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areWeDuplicating: false,
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areWeDeleting: addToFilter
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)
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{
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return false
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}
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// 後續操作。
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let rawPair = state.data.userPhraseKVPair
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let valueCurrent = rawPair.1
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let valueReversed = ChineseConverter.crossConvert(rawPair.1)
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// 更新組字器內的單元圖資料。
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// 註：如果已經排除的內容是該讀音下唯一的記錄的話，
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// 則該內容的節點會繼續殘留在組字區內，只是無法再重新輸入了。
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_ = inputHandler.updateUnigramData()
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// 因為上述操作不會立即生效（除非遞交組字區），所以暫時塞入臨時資料記錄。
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// 該臨時資料記錄會在接下來的語言模組資料重載過程中被自動清除。
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let temporaryScore: Double = SessionCtl.areWeNerfing ? -114.514 : 0
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LMMgr.currentLM.insertTemporaryData(
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key: rawPair.0, unigram: .init(value: rawPair.1, score: temporaryScore), isFiltering: SessionCtl.areWeNerfing
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)
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// 開始針對使用者半衰模組的清詞處理
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LMMgr.bleachSpecifiedSuggestions(targets: [valueCurrent], mode: IMEApp.currentInputMode)
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LMMgr.bleachSpecifiedSuggestions(targets: [valueReversed], mode: IMEApp.currentInputMode.reversed)
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// 清詞完畢
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return true
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}
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}
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// MARK: - Candidate Controller Delegate
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extension SessionCtl: CtlCandidateDelegate {
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public var isCandidateState: Bool { state.isCandidateContainer }
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public var isCandidateContextMenuEnabled: Bool { state.type == .ofCandidates }
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public var showReverseLookupResult: Bool {
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!isVerticalTyping && PrefMgr.shared.showReverseLookupInCandidateUI
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}
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@discardableResult public func reverseLookup(for value: String) -> [String] {
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let blankResult: [String] = []
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// 這一段專門處理「反查」。
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if !PrefMgr.shared.showReverseLookupInCandidateUI { return blankResult }
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if isVerticalTyping { return blankResult } // 縱排輸入的場合，選字窗沒有足夠的空間顯示反查結果。
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if value.isEmpty { return blankResult } // 空字串沒有需要反查的東西。
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if value.contains("_") { return blankResult }
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// 因為威注音輸入法的反查結果僅由磁帶模組負責，所以相關運算挪至 LMInstantiator 內處理。
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return LMMgr.currentLM.cassetteReverseLookup(for: value)
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}
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public var selectionKeys: String {
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PrefMgr.shared.useIMKCandidateWindow ? "123456789" : PrefMgr.shared.candidateKeys
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}
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public func candidatePairs(conv: Bool = false) -> [(String, String)] {
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if !state.isCandidateContainer || state.candidates.isEmpty { return [] }
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if !conv || PrefMgr.shared.cns11643Enabled || state.candidates[0].0.contains("_punctuation") {
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return state.candidates
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}
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let convertedCandidates: [(String, String)] = state.candidates.map { theCandidatePair -> (String, String) in
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let theCandidate = theCandidatePair.1
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let theConverted = ChineseConverter.kanjiConversionIfRequired(theCandidate)
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let result = (theCandidate == theConverted) ? theCandidate : "\(theConverted)(\(theCandidate))"
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return (theCandidatePair.0, result)
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}
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return convertedCandidates
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}
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public func candidatePairSelected(at index: Int) {
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guard let inputHandler = inputHandler else { return }
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if state.type == .ofSymbolTable, (0..<state.node.members.count).contains(index) {
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let node = state.node.members[index]
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if !node.members.isEmpty {
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switchState(IMEState.ofEmpty()) // 防止縱橫排選字窗同時出現
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switchState(IMEState.ofSymbolTable(node: node))
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} else {
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switchState(IMEState.ofCommitting(textToCommit: node.name))
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switchState(IMEState.ofEmpty())
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}
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return
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}
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if [.ofCandidates, .ofSymbolTable].contains(state.type) {
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let selectedValue = state.candidates[index]
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if state.type == .ofCandidates {
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inputHandler.consolidateNode(
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candidate: selectedValue, respectCursorPushing: true,
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preConsolidate: PrefMgr.shared.consolidateContextOnCandidateSelection
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)
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}
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let inputting = inputHandler.generateStateOfInputting()
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if PrefMgr.shared.useSCPCTypingMode {
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switchState(IMEState.ofCommitting(textToCommit: inputting.displayedText))
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// 此時是逐字選字模式，所以「selectedValue.1」是單個字、不用追加處理。
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if PrefMgr.shared.associatedPhrasesEnabled {
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let associates = inputHandler.generateStateOfAssociates(
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withPair: .init(key: selectedValue.0, value: selectedValue.1)
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)
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switchState(associates.candidates.isEmpty ? IMEState.ofEmpty() : associates)
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} else {
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switchState(IMEState.ofEmpty())
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}
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} else {
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switchState(inputting)
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}
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return
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}
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if state.type == .ofAssociates {
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let selectedValue = state.candidates[index]
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switchState(IMEState.ofCommitting(textToCommit: selectedValue.1))
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// 此時是聯想詞選字模式，所以「selectedValue.1」必須只保留最後一個字。
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// 不然的話，一旦你選中了由多個字組成的聯想候選詞，則連續聯想會被打斷。
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guard let valueKept = selectedValue.1.last else {
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switchState(IMEState.ofEmpty())
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return
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}
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if PrefMgr.shared.associatedPhrasesEnabled {
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let associates = inputHandler.generateStateOfAssociates(
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withPair: .init(key: selectedValue.0, value: String(valueKept))
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)
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if !associates.candidates.isEmpty {
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switchState(associates)
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return
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}
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}
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switchState(IMEState.ofEmpty())
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}
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}
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public func candidatePairRightClicked(at index: Int, action: CandidateContextMenuAction) {
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guard let inputHandler = inputHandler, isCandidateContextMenuEnabled else { return }
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var succeeded = true
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let rawPair = state.candidates[index]
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let valueCurrent = rawPair.1
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let valueReversed = ChineseConverter.crossConvert(rawPair.1)
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let nerfedScore = (action == .toNerf) ? " -114.514" : ""
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let convertedMark = "#𝙃𝙪𝙢𝙖𝙣𝘾𝙝𝙚𝙘𝙠𝙍𝙚𝙦𝙪𝙞𝙧𝙚𝙙"
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let userPhraseDumped = "\(valueCurrent) \(rawPair.0)\(nerfedScore)"
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let userPhraseDumpedConverted = "\(valueReversed) \(rawPair.0)\(nerfedScore)\t\(convertedMark)"
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if !LMMgr.writeUserPhrase(
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userPhraseDumped, inputMode: inputMode,
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areWeDuplicating: action != .toFilter,
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areWeDeleting: action == .toFilter
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)
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|| !LMMgr.writeUserPhrase(
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userPhraseDumpedConverted, inputMode: inputMode.reversed,
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areWeDuplicating: action != .toFilter,
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areWeDeleting: action == .toFilter
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)
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{
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succeeded = false
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}
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// 因為上述操作不會立即生效（除非遞交組字區），所以暫時塞入臨時資料記錄。
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// 該臨時資料記錄會在接下來的語言模組資料重載過程中被自動清除。
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let temporaryScore: Double = (action == .toNerf) ? -114.514 : 0
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LMMgr.currentLM.insertTemporaryData(
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key: rawPair.0, unigram: .init(value: rawPair.1, score: temporaryScore), isFiltering: action == .toFilter
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)
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// 開始針對使用者半衰模組的清詞處理
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LMMgr.bleachSpecifiedSuggestions(targets: [valueCurrent], mode: IMEApp.currentInputMode)
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LMMgr.bleachSpecifiedSuggestions(targets: [valueReversed], mode: IMEApp.currentInputMode.reversed)
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// 更新組字器內的單元圖資料。
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let updateResult = inputHandler.updateUnigramData()
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// 清詞完畢
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var newState: IMEStateProtocol =
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updateResult ? inputHandler.generateStateOfCandidates() : IMEState.ofCommitting(textToCommit: state.displayedText)
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newState.tooltipDuration = 1.85
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var tooltipMessage = ""
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switch action {
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case .toBoost:
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newState.data.tooltipColorState = .normal
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tooltipMessage = succeeded ? "+ Succeeded in boosting a candidate." : "⚠︎ Failed from boosting a candidate."
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case .toNerf:
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newState.data.tooltipColorState = .succeeded
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tooltipMessage = succeeded ? "- Succeeded in nerfing a candidate." : "⚠︎ Failed from nerfing a candidate."
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case .toFilter:
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newState.data.tooltipColorState = .warning
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tooltipMessage = succeeded ? "! Succeeded in filtering a candidate." : "⚠︎ Failed from filtering a candidate."
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}
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if !succeeded { newState.data.tooltipColorState = .redAlert }
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newState.tooltip = NSLocalizedString(tooltipMessage, comment: "") + " "
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switchState(newState)
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}
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}
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