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machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/MockKit.js create mode 100644 machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/VerificationMode.js create mode 100644 machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/report/OhReport.js create mode 100644 machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/report/ReportExtend.js create mode 100644 machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/service.js diff --git a/machinelearning/README.md b/machinelearning/README.md new file mode 100644 index 0000000..9223cd1 --- /dev/null +++ b/machinelearning/README.md @@ -0,0 +1,21 @@ +# machinelearning +### 1、项目说明 +总体思路：项目开发总体思路如图1.1示意，卷积神经网络可视化模型构建与训练系统：（1）提供一组构建卷积神经网络模型的基本图元，如卷积、池化、非线性、全连接、分类等。（2）利用基本图元，用户可以可视化交互式地构建一个卷积神经网络模型。（3）系统支持用户针对该神经网络模型开展训练、模型输出和模型应用等工作，即用户所建立地卷积神经网络模型是一个可以执行训练和分类任务的模型。 + 图1.1 项目开发的总体思路图 + + + +### 2、开发环境说明 +（1）系统版本：OpenHarmony 4.0 Release +（2）SDK版本：API 10 +（3）Model类型：Stage +（4）DevEco Studio版本：Deveco Studio 4.0 release +（5）硬件环境：Unionpi Whale、RK3566开发板 +（6）预览器参数：(1)DeviceType:default;(2)Resolution:560-1280;(3)DPI:240;其余参数自定。 +### 3、项目主要函数调用关系图与项目输出界面演进图 + 图3.1 项目主要函数调用关系图 + + + + 图3.2 项目输出界面演进图 + \ No newline at end of file diff --git a/machinelearning/figs/evolution.png b/machinelearning/figs/evolution.png new file mode 100644 index 0000000000000000000000000000000000000000..d52843bf1bf5204c838f36f64915303b881accea GIT binary patch literal 130529 zcmZs?Wmp_d6E>Ov!QENh9THrEd+-3u;wT%SKZa!H4!RGGHA#EwDEAV-)MfxeTY3FlD|z)aX#ZW4-7iKSjcotcTBJu`i?6X zPt}+1tn>~ETawOcjGvnW5IrNhm+stoRi+m$ZSf6G>>Zr!tbJKq^SZA6&GOBhTAlSg 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b/machinelearning/machine_learning/entry/.preview/cache/.default/entry/src/main/ets/Components/Content.ts @@ -0,0 +1,1682 @@ +interface Content_Params { + ModelID?: number; + DataArr?: any[]; + AllModelObjArr?: any[]; + showArr?: string[]; + temp?: number[]; + isLoadEnabled?: boolean; + kernel_size_entry?: number; + stride_entry?: number; + pool_type_combobox?: string; + pool_size_entry?: number; + num_outputs_entry?: number; +} +import * as CommonConstants from "@bundle:com.example.machinelearning/entry/ets/common/constants/CommonConstants"; +import promptAction from "@ohos:promptAction"; +import router from "@ohos:router"; +export default class Content extends ViewPU { + constructor(parent, params, __localStorage, elmtId = -1, paramsLambda = undefined) { + super(parent, __localStorage, elmtId); + if (typeof paramsLambda === "function") { + this.paramsGenerator_ = paramsLambda; + } + this.__ModelID = new SynchedPropertySimpleTwoWayPU(params.ModelID, this, "ModelID"); + this.__DataArr = new SynchedPropertyObjectTwoWayPU(params.DataArr, this, "DataArr"); + this.__AllModelObjArr = new SynchedPropertyObjectTwoWayPU(params.AllModelObjArr, this, "AllModelObjArr"); + this.__showArr = new SynchedPropertyObjectTwoWayPU(params.showArr, this, "showArr"); + this.__temp = new ObservedPropertyObjectPU([0, 0, 0, 0, 0, 0, 0, 0, 0, 0] + // @State save: string[] = [] + , this, "temp"); + this.__isLoadEnabled = new ObservedPropertySimplePU(true, this, "isLoadEnabled"); + this.kernel_size_entry = 0; + this.stride_entry = 0; + this.pool_type_combobox = 'max'; + this.pool_size_entry = 0; + this.num_outputs_entry = 0; + this.setInitiallyProvidedValue(params); + } + setInitiallyProvidedValue(params: Content_Params) { + if (params.temp !== undefined) { + this.temp = params.temp; + } + if (params.isLoadEnabled !== undefined) { + this.isLoadEnabled = params.isLoadEnabled; + } + if (params.kernel_size_entry !== undefined) { + this.kernel_size_entry = params.kernel_size_entry; + } + if (params.stride_entry !== undefined) { + this.stride_entry = params.stride_entry; + } + if (params.pool_type_combobox !== undefined) { + this.pool_type_combobox = params.pool_type_combobox; + } + if (params.pool_size_entry !== undefined) { + this.pool_size_entry = params.pool_size_entry; + } + if (params.num_outputs_entry !== undefined) { + this.num_outputs_entry = params.num_outputs_entry; + } + } + updateStateVars(params: Content_Params) { + } + purgeVariableDependenciesOnElmtId(rmElmtId) { + this.__ModelID.purgeDependencyOnElmtId(rmElmtId); + this.__DataArr.purgeDependencyOnElmtId(rmElmtId); + this.__AllModelObjArr.purgeDependencyOnElmtId(rmElmtId); + this.__showArr.purgeDependencyOnElmtId(rmElmtId); + this.__temp.purgeDependencyOnElmtId(rmElmtId); + this.__isLoadEnabled.purgeDependencyOnElmtId(rmElmtId); + } + aboutToBeDeleted() { + this.__ModelID.aboutToBeDeleted(); + this.__DataArr.aboutToBeDeleted(); + this.__AllModelObjArr.aboutToBeDeleted(); + this.__showArr.aboutToBeDeleted(); + this.__temp.aboutToBeDeleted(); + this.__isLoadEnabled.aboutToBeDeleted(); + SubscriberManager.Get().delete(this.id__()); + this.aboutToBeDeletedInternal(); + } + private __ModelID: SynchedPropertySimpleTwoWayPU; + get ModelID() { + return this.__ModelID.get(); + } + set ModelID(newValue: number) { + this.__ModelID.set(newValue); + } + private __DataArr: SynchedPropertySimpleOneWayPU; + get DataArr() { + return this.__DataArr.get(); + } + set DataArr(newValue: any[]) { + this.__DataArr.set(newValue); + } + private __AllModelObjArr: SynchedPropertySimpleOneWayPU; + get AllModelObjArr() { + return this.__AllModelObjArr.get(); + } + set AllModelObjArr(newValue: any[]) { + this.__AllModelObjArr.set(newValue); + } + private __showArr: SynchedPropertySimpleOneWayPU; + get showArr() { + return this.__showArr.get(); + } + set showArr(newValue: string[]) { + this.__showArr.set(newValue); + } + private __temp: ObservedPropertyObjectPU; + get temp() { + return this.__temp.get(); + } + set temp(newValue: number[]) { + this.__temp.set(newValue); + } + // @State save: string[] = [] + private __isLoadEnabled: ObservedPropertySimplePU; + get isLoadEnabled() { + return this.__isLoadEnabled.get(); + } + set isLoadEnabled(newValue: boolean) { + this.__isLoadEnabled.set(newValue); + } + private kernel_size_entry: number; + private stride_entry: number; + private pool_type_combobox: string; + private pool_size_entry: number; + private num_outputs_entry: number; + drawArrow(sx, sy, ex, ey) { + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx + 42, sy + 20); + CommonConstants.context.lineTo(ex, ey + 20); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + // CommonConstants.context.beginPath() + // CommonConstants.context.fillStyle = '#a500cc' + // CommonConstants.context.moveTo(ex, ey) + // CommonConstants.context.lineTo(ex, ey - 5) + // CommonConstants.context.lineTo(ex - 5, ey) + // CommonConstants.context.fill() + // CommonConstants.context.closePath() + } + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/Content.ets(42:5)"); + Column.margin({ left: 3 }); + Column.width('100%'); + Column.height('100%'); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //功能按钮 + Row.create({ space: 5 }); + Row.debugLine("Components/Content.ets(44:7)"); + //功能按钮 + Row.justifyContent(FlexAlign.SpaceBetween); + //功能按钮 + Row.width('100%'); + //功能按钮 + Row.height('10%'); + if (!isInitialRender) { + //功能按钮 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('加载已有模型'); + Text.debugLine("Components/Content.ets(45:9)"); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#77ff00'); + Text.border({ width: 1 }); + Text.enabled(this.isLoadEnabled); + Text.onClick(() => { + this.isLoadEnabled = false; + CommonConstants.context.drawImage(CommonConstants.data, 20, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('数据集', 20 + 5, 90 + 50); + this.AllModelObjArr.push([0, 150, 150]); + this.temp[0]++; + CommonConstants.context.drawImage(CommonConstants.conv, 90, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('3*3' + '卷积', 90 + 5, 90 + 50); + this.AllModelObjArr.push([1, 90, 90]); + this.temp[1]++; + this.drawArrow(20, 90, 90, 90); + CommonConstants.context.drawImage(CommonConstants.full_connect, 160, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('5--全连接', 160 + 2, 90 + 50); + this.AllModelObjArr.push([3, 160, 90]); + this.temp[3]++; + this.drawArrow(90, 90, 160, 90); + CommonConstants.context.drawImage(CommonConstants.nonlinear, 230, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('Sigmoid处理', 230 + 3, 90 + 50); + this.AllModelObjArr.push([4, 230, 90]); + this.temp[4]++; + this.drawArrow(160, 90, 230, 90); + // DrawImage({ image: this.classifier, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.classifier, 300, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('输出分类结果', 300 - 5, 90 + 50); + this.AllModelObjArr.push([5, 300, 90]); + this.temp[5]++; + this.drawArrow(230, 90, 300, 90); + // DrawImage({ image: this.error, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.error, 370, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('误差计算', 370, 90 + 50); + this.AllModelObjArr.push([6, 370, 90]); + this.temp[6]++; + this.drawArrow(300, 90, 370, 90); + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.adjust, 440, 90, 40, 40); + this.AllModelObjArr.push([7, 440, 90]); + this.temp[7]++; + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.adjust, 440, 90, 40, 40); + this.AllModelObjArr.push([8, 440, 90]); + this.drawArrow(370, 90, 440, 90); + this.temp[8]++; + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.adjust, 510, 90, 40, 40); + this.AllModelObjArr.push([9, 510, 0]); + this.drawArrow(440, 90, 510, 90); + this.temp[9]++; + console.log(AppStorage.get('SaveText')); + this.showArr.push('数据集已加载'); + this.showArr.push('tensor([[[[-0.0134, -0.1962, 1.0880, -0.0022, 0.1482, 0.0725, 0.0937,1.0789],[ 0.0033, 0.4381, 0.3818, -0.4521, 0.6097, -0.2371, 0.9600,1.2070],[-0.1606, 0.5197, -0.1671, 0.8567, -0.3522, -0.7583, 0.4042,0.5243],[ 1.1485, -1.1297, 0.7452, 0.7836, -0.0784, -0.1691, 0.6973,-0.3798],\n[ 1.2588, -0.7680, 0.0982, -0.8352, -0.5174, 0.2096, -0.1403,0.3098],[ 0.1852, -0.4641, -0.1673, 0.0630, 0.3776, -0.1029, -0.6249,0.9654],\n[ 0.3690, -0.1096, 0.6028, 0.1366, 0.4057, 0.5722, 0.0064,0.5854],[ 0.4958, 0.1987, 0.0410, -0.3032, 0.3825, -0.0614, 0.3641,0.5822]]]])'); + this.showArr.push('tensor([[ 0.8430, 0.4639, 0.4960, 0.2869, -0.1519]])'); + this.showArr.push('tensor([[0.1820, 0.1939, 0.1981, 0.1502, 0.2757]])'); + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('新建模型'); + Text.debugLine("Components/Content.ets(119:9)"); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#77ff00'); + Text.border({ width: 1 }); + Text.onClick(() => { + // restart_new_model() + router.replaceUrl({ + url: 'pages/Index' + }); + AppStorage.set('LogText', ''); + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('图元参数设置'); + Text.debugLine("Components/Content.ets(132:9)"); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#77ff00'); + Text.border({ width: 1 }); + Text.onClick(() => { + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('保存模型'); + Text.debugLine("Components/Content.ets(142:9)"); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#77ff00'); + Text.border({ width: 1 }); + Text.onClick(() => { + if (this.temp[7] >= 1) { + this.save_images(); + promptAction.showToast({ + message: '保存成功', + duration: 2000 + }); + } + else { + promptAction.showToast({ + message: '模型连接错误', + duration: 2000 + }); + } + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('模型正确性检查'); + Text.debugLine("Components/Content.ets(162:9)"); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#77ff00'); + Text.border({ width: 1 }); + Text.onClick(() => { + promptAction.showToast({ + message: this.temp[7] >= 1 ? '连接正确' : '连接错误', + duration: 2000 + }); + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('退出'); + Text.debugLine("Components/Content.ets(174:9)"); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#ff3333'); + Text.border({ width: 1 }); + Text.onClick(() => { + router.back(); + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + //功能按钮 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.debugLine("Components/Content.ets(187:7)"); + Row.borderWidth(1); + Row.width('100%'); + Row.height('90%'); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Canvas.create(CommonConstants.context); + Canvas.debugLine("Components/Content.ets(188:9)"); + Canvas.onClick((event: ClickEvent) => { + if (this.ModelID == 0 && this.temp[0] == 0) { + // DrawImage({ image: this.data, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.data, event.x, event.y, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('数据集', event.x + 5, event.y + 50); + console.log('event.x=' + event.x + ' event.y=' + event.y); + this.AllModelObjArr.push([0, event.x, event.y]); + this.temp[0]++; + this.showArr.push('数据集已加载'); + // this.save.push(new Point(event.x, event.y, this.ModelID, '数据集')) + } + else if (this.ModelID == 1) { //卷积 + let len = this.DataArr.length; + console.log("hellohello" + this.DataArr[len - 1]['kernel_size_entry'] + "ininin" + this.DataArr[len - 1]['stride_entry']); + if (this.temp[0] && this.DataArr[len - 1]['kernel_size_entry'] && this.DataArr[len - 1]['stride_entry']) { + // DrawImage({ image: this.conv, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.conv, event.x, event.y, 40, 40); + this.kernel_size_entry = this.DataArr[len - 1]['kernel_size_entry']; + this.stride_entry = this.DataArr[len - 1]['stride_entry']; + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText(this.kernel_size_entry + '*' + this.kernel_size_entry + '卷积', event.x + 5, event.y + 50); + this.AllModelObjArr.push([1, event.x, event.y]); + this.temp[1]++; + // this.save.push(new Point(event.x, event.y, this.ModelID, (this.kernel_size_entry + '*' + this.kernel_size_entry + '卷积'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1) { + this.showArr.push('tensor([[[[-0.0134, -0.1962, 1.0880, -0.0022, 0.1482, 0.0725, 0.0937,1.0789],[ 0.0033, 0.4381, 0.3818, -0.4521, 0.6097, -0.2371, 0.9600,1.2070],[-0.1606, 0.5197, -0.1671, 0.8567, -0.3522, -0.7583, 0.4042,0.5243],[ 1.1485, -1.1297, 0.7452, 0.7836, -0.0784, -0.1691, 0.6973,-0.3798],\n[ 1.2588, -0.7680, 0.0982, -0.8352, -0.5174, 0.2096, -0.1403,0.3098],[ 0.1852, -0.4641, -0.1673, 0.0630, 0.3776, -0.1029, -0.6249,0.9654],\n[ 0.3690, -0.1096, 0.6028, 0.1366, 0.4057, 0.5722, 0.0064,0.5854],[ 0.4958, 0.1987, 0.0410, -0.3032, 0.3825, -0.0614, 0.3641,0.5822]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1) { + this.showArr.push('tensor([[[[-0.4874, 0.7384, -1.6970, 0.2020, 0.1609, 0.3237],[-0.9838, 0.9160, 0.0670, 0.5332, -0.9977, -0.8638],[ 0.6242, 0.9128, 0.1488, -0.3978, -0.9426, -0.6181],[ 0.1971, -0.7169, 0.5764, -0.2893, 0.2324, 0.6313],\n[-0.1713, -0.3927, 0.4514, 0.6206, -0.6940, 0.2667],[ 0.2802, -0.2659, 0.8624, -0.4083, 0.0460, -0.0076]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1) { + this.showArr.push('tensor([[[[ 0.2200, 0.1786, -0.4796, 0.0179],[ 0.8451, 0.5322, -0.7935, 0.0219],[-0.0062, 0.3043, 0.3664, 0.4143],[-0.0788, -0.3161, 0.7487, -0.1581]]]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2) { + this.showArr.push('tensor([[[[-0.9337, 0.0745, -0.0844, -0.9482],[-0.8150, -0.2888, -0.0274, -0.5448],[-0.0586, 0.0494, -0.7577, -0.1680],[ 0.0058, -0.4213, -0.5265, 0.2654]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2) { + this.showArr.push('tensor([[[[ 0.7389, 0.9307, 0.0525],[ 0.1518, -0.3735, -0.5886],[ 0.8594, -0.6091, 0.5225]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2) { + this.showArr.push('tensor([[[[ 1.0233, 0.0583],[ 0.4498, -0.6545]]]])'); + } + } + } + else if (this.ModelID == 2) { //池化 + let len = this.DataArr.length; + if (this.temp[1] && this.DataArr[len - 1]['pool_type_combobox'] && this.temp[2] == 0) { + // DrawImage({ image: this.pool, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.pool, event.x, event.y, 40, 40); + let len = this.DataArr.length; + this.pool_type_combobox = this.DataArr[len - 1]['pool_type_combobox']; + this.pool_size_entry = this.DataArr[len - 1]['pool_size_entry']; + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText(this.pool_size_entry + '*' + this.pool_size_entry + this.pool_type_combobox + '池化', event.x, event.y + 50); + this.AllModelObjArr.push([2, event.x, event.y]); + this.temp[2]++; + // this.save.push(new Point(event.x, event.y, this.ModelID, (this.pool_size_entry + '*' + this.pool_size_entry + this.pool_type_combobox + '池化'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.3709, 0.9153, 0.2770, 0.7611],[1.1211, 0.7780, 1.1351, 0.5696],[0.7411, 0.5163, 0.5767, 0.9177],[0.2249, 1.1004, 0.9144, 0.0487]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.2726, 0.2360, 0.3854],[1.0497, 0.8585, 0.4598],[0.5655, 0.4090, 1.0777]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.9764, 1.0485],[1.7456, 0.7602]]]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.5768, 0.2833],[0.6682, 0.5038]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.1050]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[1.0111]]]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[ 0.2561, -0.0163, 0.1170, -0.1636],[ 0.1961, 0.0845, 0.3065, 0.1961],[ 0.1303, 0.2925, 0.3443, 0.2922],[ 0.0602, 0.0409, 0.4259, 0.0721]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[-0.0662, -0.1149, -0.3240],[ 0.2467, 0.3095, 0.2449],[ 0.0851, 0.4907, 0.1141]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[-0.1290, -0.2480],[ 0.1484, -0.0324]]]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[ 0.0709, 0.0183],[ 0.4691, -0.3462]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[0.1186]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[0.1667]]]])'); + } + } + } + else if (this.ModelID == 3) { //全连接 + let len = this.DataArr.length; + if (this.temp[2] && this.DataArr[len - 1]['num_outputs_entry'] && this.temp[3] == 0) { + // DrawImage({ image: this.full_connect, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.full_connect, event.x, event.y, 40, 40); + let len = this.DataArr.length; + this.num_outputs_entry = this.DataArr[len - 1]['num_outputs_entry']; + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText(this.num_outputs_entry + '--全连接', event.x + 2, event.y + 50); + this.AllModelObjArr.push([3, event.x, event.y]); + this.temp[3]++; + // this.save.push(new Point(event.x, event.y, this.ModelID, (this.num_outputs_entry + '--全连接'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.8430, 0.4639, 0.4960, 0.2869, -0.1519]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.1748, 0.2053, -0.4904, 0.0787, -0.3058]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.2453, 0.7561, 0.1178, -0.2876, -0.2929]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.3083, -0.1718, -0.0930, 0.4225, -0.2758]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.7466, -0.7196, -1.4761, 1.5438, -1.4053]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 1.2008, 0.0185, -0.2925, -0.8986, 0.6176]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.0281, 0.0526, 0.1051, 0.2233, -0.1085]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.0175, 0.2273, 0.1076, -0.3133, -0.0441]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.2400, -0.2518, -0.0471, 0.2277, 0.1734]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.6036, -0.0845, 0.3232, 0.3640, 0.0129]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.5800, -0.4243, 0.9183, -0.9735, 0.4720]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.7089, -0.1477, 0.4270, 0.6791, -0.3590]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.4249, -0.2973, 0.0038, -0.0580, 0.0632, -0.0339, 0.1261, 0.1313, -0.1238, 0.0665]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.0504, 0.1315, -0.6201, 0.0473, 0.4805, -0.0796, 0.2596, -0.3193, -0.3940, -0.2020]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.4090, 0.4147, 0.6487, -0.3629, -0.3484, -0.1875, -0.3686, -0.5886, -0.7075, 0.1032]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.3897, 0.4267, 0.5004, -0.6866, -1.0243, -0.1148, 0.7304, 0.4679, -0.7236, 0.7823]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.6382, -0.3088, -0.3561, 0.0828, 0.0518, 0.1949, -0.5738, -0.2345, 0.2991, -0.9273]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.5727, -0.1920, -0.5151, -1.0427, -0.4574, -0.6762, 0.5131, -0.1120, 0.0391, 0.2446]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.1564, 0.3556, -0.1351, 0.1361, 0.2033, 0.0809, 0.1767, 0.1210, 0.3280, -0.2914]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.2261, 0.0060, -0.0676, 0.0333, -0.0897, 0.2548, -0.0256, 0.1189, 0.0922, -0.3367]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.4802, 0.2031, -0.5436, 0.1421, -0.1331, -0.3931, -0.3846, 0.5004, -0.0435, 0.0126]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.0979, -0.1645, 0.2052, -0.6433, -0.2871, 0.1662, -0.1271, 0.4818, -0.4955, 0.1770]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.5348, 0.0758, -0.9927, 0.3091, -0.5952, 0.8165, 0.1283, 0.6039, -0.4501, -0.4889]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.1460, -1.1606, 0.6688, 0.0959, -0.8042, 0.6037, -1.1703, 0.6725, -0.3544, -1.3215]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.1608, -0.2595, 0.2194, -0.7454, 0.4069, 0.0870, -0.0299, -0.5744, 1.3357, 0.4431]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 1.8365e-01, -1.6593e-01, 3.6458e-02, -2.0534e-05, -4.9897e-02, -3.7728e-01, 7.3147e-02, 1.9757e-01, 2.7765e-01, 2.0895e-01]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.5150, -0.4136, -0.1379, 0.5046, -0.4168, 0.4718, 0.3578, -0.0597, 0.2906, 0.4614]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.9533, -0.8007, 0.4054, 0.0565, 0.4350, 0.3419, -0.5479, -0.0126, -0.0937, 0.0899]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.7360, -0.4937, 0.0372, -0.7249, -0.6149, -0.0489, -0.6061, -0.4459, -0.0656, 1.3277]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.3827, 0.6127, 1.2174, -0.7355, -0.1307, 0.9750, 0.9632, -0.0470, 0.7470, -0.1429]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[-0.1990, -0.1022, 0.2421, 0.0140, -0.3644, 0.2187, 0.0227, 0.1435, 0.0863, 0.1278]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.3643, 0.1440, 0.1252, 0.1224, 0.6934, -0.2651, 0.2311, -0.3368, 0.5647, -0.0990]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[-0.2740, 0.1192, 0.4515, -0.1104, -0.5225, 0.2964, 0.1486, 0.4409, -0.1470, 0.3240]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.5326, 0.1677, -0.4638, -0.2603, 0.4328, -0.0448, -0.5383, -0.3798, -0.4663, 0.4492]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[-0.2946, 0.5148, 0.1413, -0.0439, 0.1985, -0.1225, 0.6737, 0.6060, 0.9344, 0.5184]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 1.0891, -0.3327, -0.3149, -0.7376, -0.2826, 0.3113, 0.6477, 1.1800, -0.4299, 0.8045]])'); + } + } + } + else if (this.ModelID == 4) { //非线性 + let len = this.DataArr.length; + if (this.temp[3] && this.DataArr[len - 1]['nonlinear_mode_combobox'] && this.temp[4] == 0) { + // DrawImage({ image: this.nonlinear, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.nonlinear, event.x, event.y, 40, 40); + let len = this.DataArr.length; + let nonlinear_mode_combobox = this.DataArr[len - 1]['nonlinear_mode_combobox']; + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText(nonlinear_mode_combobox + '处理', event.x + 3, event.y + 50); + this.AllModelObjArr.push([4, event.x, event.y]); + this.temp[4]++; + // this.save.push(new Point(event.x, event.y, this.ModelID, (nonlinear_mode_combobox + '处理'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1820, 0.1939, 0.1981, 0.1502, 0.2757]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1258, 0.1570, 0.2210, 0.1684, 0.3278]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1249, 0.1165, 0.2768, 0.2812, 0.2006]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.2781, 0.2767, 0.1147, 0.1300, 0.2005]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1895, 0.1720, 0.1251, 0.1031, 0.4103]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.3001, 0.2823, 0.0746, 0.0872, 0.2558]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.2179, 0.2400, 0.1714, 0.2205, 0.1501]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1959, 0.2301, 0.2041, 0.2248, 0.1451]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1844, 0.1335, 0.2246, 0.3329, 0.1246]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1932, 0.1510, 0.2321, 0.2005, 0.2232]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.2440, 0.2698, 0.1494, 0.1523, 0.1845]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.0921, 0.1517, 0.0645, 0.3738, 0.3179]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0761, 0.0974, 0.0580, 0.1528, 0.1038, 0.0616, 0.1149, 0.1414, 0.1175, 0.0766]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1155, 0.0946, 0.1033, 0.0874, 0.1298, 0.0849, 0.0945, 0.0932, 0.1486, 0.0481]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1109, 0.0664, 0.0553, 0.0816, 0.1277, 0.1609, 0.1037, 0.0452, 0.2198, 0.0285]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0386, 0.0660, 0.1189, 0.0654, 0.0727, 0.0702, 0.2543, 0.1070, 0.1166, 0.0904]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0488, 0.0725, 0.0331, 0.1236, 0.0803, 0.0415, 0.0857, 0.3223, 0.0969, 0.0953]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0770, 0.1089, 0.1543, 0.0878, 0.1608, 0.0656, 0.0637, 0.0388, 0.0764, 0.1667]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0912, 0.0781, 0.0910, 0.1178, 0.1213, 0.0741, 0.0863, 0.1116, 0.1169, 0.1117]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1050, 0.0836, 0.0889, 0.1105, 0.0894, 0.1247, 0.1099, 0.1015, 0.0752, 0.1113]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0947, 0.0838, 0.1011, 0.1497, 0.0710, 0.0692, 0.1320, 0.0733, 0.1074, 0.1177]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1408, 0.0694, 0.0935, 0.0942, 0.1106, 0.1530, 0.1006, 0.1035, 0.0636, 0.0707]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0919, 0.0387, 0.1084, 0.0917, 0.1098, 0.1079, 0.0735, 0.0875, 0.1159, 0.1747]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.2100, 0.2868, 0.0336, 0.0460, 0.0778, 0.0496, 0.0360, 0.0700, 0.1701, 0.0200]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0575, 0.0413, 0.0516, 0.0569, 0.0322, 0.0497, 0.0526, 0.0856, 0.0532, 0.0353, 0.0504, 0.0444, 0.0489, 0.0323, 0.0509, 0.0561, 0.0409, 0.0561, 0.0506, 0.0533]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0422, 0.0312, 0.0158, 0.0724, 0.0196, 0.0671, 0.0280, 0.0280, 0.0949, 0.0226, 0.0719, 0.0709, 0.0571, 0.0379, 0.0201, 0.0322, 0.0685, 0.0560, 0.1117, 0.0517]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0738, 0.0679, 0.0419, 0.0526, 0.0677, 0.0310, 0.0464, 0.0286, 0.0982, 0.0724, 0.0684, 0.0536, 0.0243, 0.0509, 0.0312, 0.0297, 0.0224, 0.0577, 0.0402, 0.0412]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0538, 0.0452, 0.0619, 0.0306, 0.0340, 0.0474, 0.0682, 0.0293, 0.0474, 0.0487, 0.0308, 0.0505, 0.0302, 0.0884, 0.0931, 0.0359, 0.1052, 0.0298, 0.0437, 0.0260]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0987, 0.0490, 0.0834, 0.0584, 0.0347, 0.0578, 0.0251, 0.0299, 0.0894, 0.0366, 0.0267, 0.0525, 0.0579, 0.0507, 0.0341, 0.0315, 0.0471, 0.0514, 0.0540, 0.0309]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0388, 0.0193, 0.0286, 0.0422, 0.0575, 0.0204, 0.0654, 0.0180, 0.0604, 0.0878, 0.0442, 0.0751, 0.0546, 0.1079, 0.0189, 0.0335, 0.0214, 0.0562, 0.0651, 0.0846]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0254, 0.0441, 0.0775, 0.0838, 0.0819, 0.0324, 0.0445, 0.0551, 0.0585, 0.0335, 0.0393, 0.0490, 0.0146, 0.0155, 0.0588, 0.0740, 0.0334, 0.0708, 0.0708, 0.0371]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0341, 0.0658, 0.0271, 0.0670, 0.0202, 0.0393, 0.1201, 0.0309, 0.0167, 0.0322, 0.0349, 0.0240, 0.0296, 0.0875, 0.0282, 0.0540, 0.0286, 0.1126, 0.1211, 0.0260]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0582, 0.0569, 0.0686, 0.0339, 0.0423, 0.0408, 0.0282, 0.0456, 0.0643, 0.0291, 0.0564, 0.0350, 0.0975, 0.0486, 0.0420, 0.0334, 0.0829, 0.0441, 0.0611, 0.0313]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0348, 0.1509, 0.0223, 0.0403, 0.0353, 0.0422, 0.0414, 0.0234, 0.0400, 0.0389, 0.0602, 0.0280, 0.0611, 0.0153, 0.0696, 0.0243, 0.0988, 0.0809, 0.0502, 0.0421]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0474, 0.0843, 0.0303, 0.0462, 0.0524, 0.0281, 0.0316, 0.0324, 0.0973, 0.0390, 0.0707, 0.0437, 0.0408, 0.0800, 0.0694, 0.0585, 0.0344, 0.0356, 0.0456, 0.0323]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0209, 0.0252, 0.0217, 0.0550, 0.0471, 0.0191, 0.0642, 0.0309, 0.0930, 0.1062, 0.0946, 0.0307, 0.0361, 0.0770, 0.0695, 0.0717, 0.0581, 0.0320, 0.0210, 0.0258]])'); + } + } + } + else if (this.ModelID == 5 && this.temp[4] && this.temp[5] == 0) { //类别 + // DrawImage({ image: this.classifier, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '输出分类结果')) + CommonConstants.context.drawImage(CommonConstants.classifier, event.x, event.y, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('输出分类结果', event.x - 5, event.y + 50); + this.AllModelObjArr.push([5, event.x, event.y]); + this.temp[5]++; + } + else if (this.ModelID == 6 && this.temp[5] && this.temp[6] == 0) { //误差 + // DrawImage({ image: this.error, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '误差计算')) + CommonConstants.context.drawImage(CommonConstants.error, event.x, event.y, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('误差计算', event.x, event.y + 50); + this.AllModelObjArr.push([6, event.x, event.y]); + this.temp[6]++; + } + else if (this.ModelID == 7 && this.temp[6] && this.temp[7] == 0) { //调整1 + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '')) + CommonConstants.context.drawImage(CommonConstants.adjust, event.x, event.y, 40, 40); + this.AllModelObjArr.push([7, event.x, event.y]); + this.temp[7]++; + } + else if (this.ModelID == 8 && this.temp[7] && this.temp[8] == 0) { //调整2 + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '')) + CommonConstants.context.drawImage(CommonConstants.adjust, event.x, event.y, 40, 40); + this.AllModelObjArr.push([8, event.x, event.y]); + this.temp[8]++; + } + else if (this.ModelID == 9 && this.temp[8] && this.temp[9] == 0) { //调整3 + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '')) + CommonConstants.context.drawImage(CommonConstants.adjust, event.x, event.y, 40, 40); + this.AllModelObjArr.push([9, event.x, event.y]); + this.temp[9]++; + } + //连接线 + if (this.temp[0] > 0 && this.temp[1] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 0) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[0]--; + } + if (this.temp[1] > 0 && this.temp[2] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 1) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[1]--; + } + if (this.temp[2] > 0 && this.temp[3] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 2) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[2]--; + } + if (this.temp[3] > 0 && this.temp[4] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 3) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[3]--; + } + if (this.temp[4] > 0 && this.temp[5] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 4) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[4]--; + } + if (this.temp[5] > 0 && this.temp[6] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 5) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[5]--; + } + if (this.temp[6] > 0 && this.temp[7] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 6) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[6]--; + } + if (this.temp[7] > 0 && this.temp[8] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 7) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[7]--; + } + if (this.temp[8] > 0 && this.temp[9] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 8) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[8]--; + } + setTimeout(() => { + this.ModelID = -1; + }, 500); + }); + Canvas.width('100%'); + Canvas.height('100%'); + if (!isInitialRender) { + Canvas.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Canvas.pop(); + Row.pop(); + Column.pop(); + } + save_images() { + AppStorage.setOrCreate('SaveText', this.showArr); + // + // 将canvas画布信息储存到AppStorage + // CommonConstants.context.drawImage(CommonConstants.data, save[0].x, save[0].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText('数据集', save[0].x + 5, save[0].y + 50) + // this.AllModelObjArr.push([0, save[0].x, save[0].y]) + // this.temp[0]++ + // + // CommonConstants.context.drawImage(CommonConstants.conv, save[1].x, save[1].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[1].text, save[1].x + 5, save[1].y + 50) + // this.AllModelObjArr.push([1, save[1].x, save[1].y]) + // this.temp[1]++ + // + // + // CommonConstants.context.drawImage(CommonConstants.pool, save[2].x, save[2].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[1].text, save[2].x + 5, save[2].y + 50) + // this.AllModelObjArr.push([2, save[2].x, save[2].y]) + // this.temp[2]++ + // + // CommonConstants.context.drawImage(CommonConstants.full_connect, save[3].x, save[3].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[3].text, save[3].x + 2, save[3].y + 50) + // this.AllModelObjArr.push([3, save[3].x, save[3].y]) + // this.temp[3]++ + // + // CommonConstants.context.drawImage(CommonConstants.nonlinear, save[4].x, save[4].y, 40, 40) + // + // + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[4].text, save[4].x + 3, save[4].y + 50) + // this.AllModelObjArr.push([4, save[4].x, save[4].y]) + // this.temp[4]++ + // + // CommonConstants.context.drawImage(CommonConstants.classifier, save[5].x, save[5].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText('输出分类结果', save[5].x - 5, save[5].y + 50) + // this.AllModelObjArr.push([5, save[5].x, save[5].y]) + // this.temp[5]++ + // CommonConstants.context.drawImage(CommonConstants.error, save[6].x, save[6].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText('误差计算', save[6].x, save[6].y + 50) + // this.AllModelObjArr.push([6, save[6].x, save[6].y]) + // this.temp[6]++ + // CommonConstants.context.drawImage(CommonConstants.adjust, save[7].x, save[7].y, 40, 40) + // this.AllModelObjArr.push([7, save[7].x, save[7].y]) + // this.temp[7]++ + // CommonConstants.context.drawImage(CommonConstants.adjust, save[8].x, save[8].y, 40, 40) + // this.AllModelObjArr.push([8, save[8].x, save[8].y]) + // this.temp[8]++ + // CommonConstants.context.drawImage(CommonConstants.adjust, save[9].x, save[9].y, 40, 40) + // this.AllModelObjArr.push([9, save[9].x, save[9].y]) + // this.temp[9]++ + } + rerender() { + this.updateDirtyElements(); + } +} diff --git a/machinelearning/machine_learning/entry/.preview/cache/.default/entry/src/main/ets/Components/Display.protoBin b/machinelearning/machine_learning/entry/.preview/cache/.default/entry/src/main/ets/Components/Display.protoBin new file mode 100644 index 0000000000000000000000000000000000000000..b9c59ff16f46754c29b68ed9a83020210156cba2 GIT binary patch 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zon8r^fekaL$ex})bxbX%xKE#Lnu#q_8RwuU|12#!&`jwVLq-6+i8eyFp+kH%k=`Umsw^Ui6A`iz+liMYk=x1hJoBL5?F7PQ@{^qLPPAhM-rr%6 zrEE1_2S{+w4eH9yuY@8u&%lfs92p#=z~>hfM#%gWb7tz*P~}T-N~D`VvLZLlM2FIb zxvf;_b9T!qw|s%}X@=S=-|yVjH@tVCZ#vFHFi4%>4@F)z1LHcOpA{GuD`5Zx}P|5PmP~>QPPJ8O7X}OWslx*=cBlwwCHS;v}BuRIVj#o#ger`^W z;@)oSNG7*#-Lb=NP9>A;?50$f{@0aWX9r%%uv@nkhsK9T?3LS!!v~8ag^{t*&5Fg` zR2Ul-seDg%L*>-&o_yt0JK57+CAGU+YPzdhY9?PTHJ7SJRnA7)RTbKs%k-quRg$wk zDe8|U+r~%9PfkACv#mHXRw@n+6-xH39Ycj{&KMfpKVrA-kXKl{>8!$--3&V`JBRZy%d>aaBrb>PTxr1eyVNNoOW)gHB9}GtTN|P;l9ywN?i==O z`S&G*17ip5HYI1X>j_P5GC;4ZLX&NGeHC`4(%Eb-lkQ68^4Uy2pUiaBRiVjZxV{Pv z#<=xWXs~mwt3s0rseNg!nu|>xG{{w~GwUMNWRzH6g$8>+`{FvZ8ExeD|?LC9n7VHRq zT~Zj_e_+gBtj6u4g9B8Tqc5V&N^@j4QBVoH^?=OXJUGzXYy02LvN^(@?TgE2&%1*7 z{K0*Pz~a-@$Zj2`=oEt^_OjyM(L(8}!Zzp96~_)8EZ9p~w70!Lxd#d({fBmsoH;Z+wsXMNZ~WL{C(xc9 zd{4=4q99TBT>78q5>h#El-=fZ`a&7yY5O4E2F@HR4CCHs$0Uf}+e#=?(ZW&p?A9kg zeE8}2K47;#{m8>lef$ { + let paramsLambda = () => { + return { + TrainList: this.__TrainList + }; + }; + let jsDialog = new TrainSettingDialog(this, { TrainList: this.__TrainList }, undefined, -1, paramsLambda); + jsDialog.setController(this.TrainSettingDialogController); + ViewPU.create(jsDialog); + }, + gridCount: 4 + }, this); + this.setInitiallyProvidedValue(params); + } + setInitiallyProvidedValue(params: Display_Params) { + if (params.scrollerForList !== undefined) { + this.scrollerForList = params.scrollerForList; + } + if (params.TrainSettingDialogController !== undefined) { + this.TrainSettingDialogController = params.TrainSettingDialogController; + } + } + updateStateVars(params: Display_Params) { + } + purgeVariableDependenciesOnElmtId(rmElmtId) { + this.__TrainList.purgeDependencyOnElmtId(rmElmtId); + this.__AllModelObjArr.purgeDependencyOnElmtId(rmElmtId); + this.__ModelID.purgeDependencyOnElmtId(rmElmtId); + this.__showArr.purgeDependencyOnElmtId(rmElmtId); + } + aboutToBeDeleted() { + this.__TrainList.aboutToBeDeleted(); + this.__AllModelObjArr.aboutToBeDeleted(); + this.__ModelID.aboutToBeDeleted(); + this.__showArr.aboutToBeDeleted(); + SubscriberManager.Get().delete(this.id__()); + this.aboutToBeDeletedInternal(); + } + private __TrainList: SynchedPropertySimpleOneWayPU; + get TrainList() { + return this.__TrainList.get(); + } + set TrainList(newValue: any[]) { + this.__TrainList.set(newValue); + } + private __AllModelObjArr: SynchedPropertySimpleOneWayPU; + get AllModelObjArr() { + return this.__AllModelObjArr.get(); + } + set AllModelObjArr(newValue: any[]) { + this.__AllModelObjArr.set(newValue); + } + private __ModelID: SynchedPropertySimpleTwoWayPU; + get ModelID() { + return this.__ModelID.get(); + } + set ModelID(newValue: number) { + this.__ModelID.set(newValue); + } + private __showArr: SynchedPropertySimpleOneWayPU; + get showArr() { + return this.__showArr.get(); + } + set showArr(newValue: string[]) { + this.__showArr.set(newValue); + } + private scrollerForList: Scroller; + private TrainSettingDialogController: CustomDialogController; + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/Display.ets(17:5)"); + Column.width('100%'); + Column.height('100%'); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //功能按钮 + Row.create({ space: 5 }); + Row.debugLine("Components/Display.ets(19:7)"); + //功能按钮 + Row.margin({ top: 3, bottom: 3 }); + //功能按钮 + Row.justifyContent(FlexAlign.Start); + //功能按钮 + Row.width('100%'); + //功能按钮 + Row.height('15%'); + if (!isInitialRender) { + //功能按钮 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('训练参数设置'); + Text.debugLine("Components/Display.ets(20:9)"); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#00BBFF'); + Text.border({ width: 1 }); + Text.onClick(() => { + this.TrainSettingDialogController.open(); + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('训练'); + Text.debugLine("Components/Display.ets(29:9)"); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#00BBFF'); + Text.border({ width: 1 }); + Text.onClick(() => { + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('输出模型程序'); + Text.debugLine("Components/Display.ets(38:9)"); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#00BBFF'); + Text.border({ width: 1 }); + Text.onClick(() => { + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('测试'); + Text.debugLine("Components/Display.ets(47:9)"); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#00BBFF'); + Text.border({ width: 1 }); + Text.onClick(() => { + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + //功能按钮 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Scroll.create(); + Scroll.debugLine("Components/Display.ets(61:7)"); + Scroll.borderWidth(1); + Scroll.width('100%'); + Scroll.height('83%'); + if (!isInitialRender) { + Scroll.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + List.create({ space: 2, scroller: this.scrollerForList }); + List.debugLine("Components/Display.ets(62:9)"); + if (!isInitialRender) { + List.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + ForEach.create(); + const forEachItemGenFunction = (_item, index: number) => { + const item = _item; + { + const itemCreation = (elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + ListItem.create(deepRenderFunction, true); + ListItem.width("100%"); + ListItem.height(16); + ListItem.debugLine("Components/Display.ets(64:13)"); + if (!isInitialRender) { + ListItem.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }; + const deepRenderFunction = (elmtId, isInitialRender) => { + itemCreation(elmtId, isInitialRender); + this.updateFuncByElmtId.set(elmtId, itemCreation); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create(item); + Text.debugLine("Components/Display.ets(65:15)"); + Text.fontSize(14); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + ListItem.pop(); + }; + this.observeComponentCreation(itemCreation); + ListItem.pop(); + } + }; + this.forEachUpdateFunction(elmtId, this.showArr, forEachItemGenFunction, (item: string) => item, true, false); + if (!isInitialRender) { + ForEach.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + ForEach.pop(); + List.pop(); + Scroll.pop(); + Column.pop(); + } + rerender() { + this.updateDirtyElements(); + } +} diff --git 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SynchedPropertySimpleOneWayPU; + get DataArr() { + return this.__DataArr.get(); + } + set DataArr(newValue: any[]) { + this.__DataArr.set(newValue); + } + private __showArr: SynchedPropertySimpleOneWayPU; + get showArr() { + return this.__showArr.get(); + } + set showArr(newValue: string[]) { + this.__showArr.set(newValue); + } + private kernel_size_entry: number; //卷积核大小 + private stride_entry: number; //卷积步长 + private __pool_type_combobox: ObservedPropertySimplePU; //池化类型 + get pool_type_combobox() { + return this.__pool_type_combobox.get(); + } + set pool_type_combobox(newValue: string) { + this.__pool_type_combobox.set(newValue); + } + private pool_size_entry: number; //输入池大小 + private num_outputs_entry: number; //全连接维度 + private __nonlinear_mode_combobox: ObservedPropertySimplePU; //非连接 + get nonlinear_mode_combobox() { + return this.__nonlinear_mode_combobox.get(); + } + set nonlinear_mode_combobox(newValue: string) { + this.__nonlinear_mode_combobox.set(newValue); + } + private class_box_combobox: number; //分类结果 + private __loss_type_combobox: ObservedPropertySimplePU; //误差类型 + get loss_type_combobox() { + return this.__loss_type_combobox.get(); + } + set loss_type_combobox(newValue: string) { + this.__loss_type_combobox.set(newValue); + } + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/ModelDialog.ets(19:5)"); + Column.justifyContent(FlexAlign.Center); + Column.width('100%'); + Column.height('100%'); + Column.backgroundColor('#dddddd'); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + If.create(); + if (this.ModelID == 1) { //卷积 + this.ifElseBranchUpdateFunction(0, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.debugLine("Components/ModelDialog.ets(21:9)"); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.debugLine("Components/ModelDialog.ets(22:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('卷积参数配置'); + Text.debugLine("Components/ModelDialog.ets(26:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/ModelDialog.ets(33:9)"); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('卷积核大小：'); + Text.debugLine("Components/ModelDialog.ets(34:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.create([{ value: '3*3' }, + { value: '5*5' }, + { value: '7*7' }]); + Select.debugLine("Components/ModelDialog.ets(46:11)"); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.onSelect((index: number, text?: string | undefined) => { + if (index == 0) { + this.kernel_size_entry = 3; + } + else if (index == 1) { + this.kernel_size_entry = 5; + } + else if (index == 2) { + this.kernel_size_entry = 7; + } + }); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.value(this.kernel_size_entry.toString()); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.space(2); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.width(200); + if (!isInitialRender) { + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('卷积步长：'); + Text.debugLine("Components/ModelDialog.ets(62:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.create([{ value: '1' }, + { value: '2' }]); + Select.debugLine("Components/ModelDialog.ets(73:11)"); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.onSelect((index: number, text?: string | undefined) => { + if (index == 0) { + this.stride_entry = 1; + } + else if (index == 1) { + this.stride_entry = 2; + } + }); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.value(this.stride_entry.toString()); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.space(2); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.width(200); + if (!isInitialRender) { + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.debugLine("Components/ModelDialog.ets(87:11)"); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.DataArr.push({ + 'objectId': 1, + 'kernel_size_entry': this.kernel_size_entry as number, + 'stride_entry': this.stride_entry as number + }); + // if(this.Listinstance[1][5]=='.'){ + // this.Listinstance[1][5]=this.kernel_size_entry.toString()+','+this.stride_entry.toString() + // }else{ + // this.Listinstance[1][5]=this.Listinstance[1][5]+' '+this.kernel_size_entry.toString()+','+this.stride_entry.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else if (this.ModelID == 2) { //池化 + this.ifElseBranchUpdateFunction(1, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.debugLine("Components/ModelDialog.ets(109:9)"); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.debugLine("Components/ModelDialog.ets(110:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('池化参数配置'); + Text.debugLine("Components/ModelDialog.ets(114:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/ModelDialog.ets(121:9)"); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('池化层类型：'); + Text.debugLine("Components/ModelDialog.ets(122:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //下拉框 + Select.create([{ value: 'max' }, + { value: 'avg' }]); + Select.debugLine("Components/ModelDialog.ets(126:11)"); + //下拉框 + Select.onSelect((index: number, text?: string | undefined) => { + if (text) { + this.pool_type_combobox = text; + } + }); + //下拉框 + Select.value(this.pool_type_combobox); + //下拉框 + Select.space(2); + //下拉框 + Select.width(200); + if (!isInitialRender) { + //下拉框 + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //下拉框 + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('池化池大小：'); + Text.debugLine("Components/ModelDialog.ets(137:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + TextInput.create({ placeholder: '1' }); + TextInput.debugLine("Components/ModelDialog.ets(140:11)"); + TextInput.width(200); + TextInput.backgroundColor('#eeeeee'); + TextInput.onChange((value: string) => { + // this.pool_size_entry = value + }); + if (!isInitialRender) { + TextInput.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.debugLine("Components/ModelDialog.ets(147:11)"); + Button.fontSize(16); + Button.onClick(() => { + this.DataArr.push({ + 'objectId': 2, + 'pool_type_combobox': this.pool_type_combobox as string, + 'pool_size_entry': this.pool_size_entry as number + }); + // if(this.Listinstance[2][5]=='.'){ + // this.Listinstance[2][5]=this.pool_type_combobox.toString()+','+this.pool_size_entry.toString() + // }else{ + // this.Listinstance[2][5]=this.Listinstance[2][5]+' '+this.pool_type_combobox.toString()+','+this.pool_size_entry.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else if (this.ModelID == 3) { //全连接函数 + this.ifElseBranchUpdateFunction(2, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.debugLine("Components/ModelDialog.ets(168:9)"); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.debugLine("Components/ModelDialog.ets(169:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('全连接参数配置'); + Text.debugLine("Components/ModelDialog.ets(173:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/ModelDialog.ets(180:9)"); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('全连接维度：'); + Text.debugLine("Components/ModelDialog.ets(181:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.create([{ value: '5' }, + { value: '10' }, + { value: '20' }]); + Select.debugLine("Components/ModelDialog.ets(193:11)"); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.onSelect((index: number, text?: string | undefined) => { + if (index == 0) { + this.num_outputs_entry = 5; + } + else if (index == 1) { + this.num_outputs_entry = 10; + } + else if (index == 2) { + this.num_outputs_entry = 20; + } + }); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.value(this.num_outputs_entry.toString()); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.space(2); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.width(200); + if (!isInitialRender) { + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.debugLine("Components/ModelDialog.ets(209:11)"); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.DataArr.push({ 'objectId': 3, 'num_outputs_entry': this.num_outputs_entry as number }); + // if(this.Listinstance[3][5]=='.'){ + // this.Listinstance[3][5]=this.num_outputs_entry.toString() + // }else{ + // this.Listinstance[3][5]=this.Listinstance[3][5]+' '+this.num_outputs_entry.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else if (this.ModelID == 4) { //非线性函数 + this.ifElseBranchUpdateFunction(3, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.debugLine("Components/ModelDialog.ets(227:9)"); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.debugLine("Components/ModelDialog.ets(228:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('非线性参数配置'); + Text.debugLine("Components/ModelDialog.ets(232:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/ModelDialog.ets(239:9)"); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('非线性类型：'); + Text.debugLine("Components/ModelDialog.ets(240:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Select.create([{ value: 'Sigmoid' }, + { value: 'ReLU' }, + { value: 'Tanh' }]); + Select.debugLine("Components/ModelDialog.ets(243:11)"); + Select.onSelect((index: number, text?: string | undefined) => { + if (text) { + this.nonlinear_mode_combobox = text; + } + }); + Select.value(this.nonlinear_mode_combobox); + Select.space(2); + Select.width(200); + if (!isInitialRender) { + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/ModelDialog.ets(255:11)"); + Column.height(40); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Column.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.debugLine("Components/ModelDialog.ets(258:11)"); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.DataArr.push({ 'objectId': 4, 'nonlinear_mode_combobox': this.nonlinear_mode_combobox }); + // if(this.Listinstance[4][5]=='.'){ + // this.Listinstance[4][5]=this.nonlinear_mode_combobox.toString() + // }else{ + // this.Listinstance[4][5]=this.Listinstance[4][5]+' '+this.nonlinear_mode_combobox.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else if (this.ModelID == 5) { //类别 + this.ifElseBranchUpdateFunction(4, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.debugLine("Components/ModelDialog.ets(276:9)"); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.debugLine("Components/ModelDialog.ets(277:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('分类参数配置'); + Text.debugLine("Components/ModelDialog.ets(281:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/ModelDialog.ets(288:9)"); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('阈值：'); + Text.debugLine("Components/ModelDialog.ets(289:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + TextInput.create({ placeholder: '0.001' }); + TextInput.debugLine("Components/ModelDialog.ets(292:11)"); + TextInput.width(200); + TextInput.borderRadius(0); + TextInput.backgroundColor('#eeeeee'); + TextInput.onChange((value: string) => { + // this.class_box_combobox = value + }); + if (!isInitialRender) { + TextInput.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.debugLine("Components/ModelDialog.ets(301:11)"); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.DataArr.push({ 'objectId': 5, 'class_box_combobox': this.class_box_combobox }); + // if(this.Listinstance[5][5]=='.'){ + // this.Listinstance[5][5]=this.class_box_combobox.toString() + // }else{ + // this.Listinstance[5][5]=this.Listinstance[5][5]+' '+this.class_box_combobox.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else if (this.ModelID == 6) { //误差 + this.ifElseBranchUpdateFunction(5, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.debugLine("Components/ModelDialog.ets(319:9)"); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.debugLine("Components/ModelDialog.ets(320:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('误差参数配置'); + Text.debugLine("Components/ModelDialog.ets(324:11)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/ModelDialog.ets(331:9)"); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Select.create([{ value: 'CEE' }, + { value: 'MSE' }, + { value: 'MAE' }]); + Select.debugLine("Components/ModelDialog.ets(332:11)"); + Select.onSelect((index: number, text?: string | undefined) => { + if (text) { + this.loss_type_combobox = text; + } + }); + Select.value(this.loss_type_combobox); + Select.space(2); + Select.width(200); + if (!isInitialRender) { + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/ModelDialog.ets(344:11)"); + Column.height(80); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Column.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.debugLine("Components/ModelDialog.ets(347:11)"); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.DataArr.push({ 'objectId': 6, 'loss_type_combobox': this.loss_type_combobox }); + // if(this.Listinstance[6][5]=='.'){ + // this.Listinstance[6][5]=this.loss_type_combobox.toString() + // }else{ + // this.Listinstance[6][5]=this.Listinstance[6][5]+' '+this.loss_type_combobox.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else { + this.ifElseBranchUpdateFunction(6, () => { + }); + } + if (!isInitialRender) { + If.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + If.pop(); + Column.pop(); + } + rerender() { + this.updateDirtyElements(); + } +} diff --git a/machinelearning/machine_learning/entry/.preview/cache/.default/entry/src/main/ets/Components/ToolBar.protoBin b/machinelearning/machine_learning/entry/.preview/cache/.default/entry/src/main/ets/Components/ToolBar.protoBin new file mode 100644 index 0000000000000000000000000000000000000000..8041e3fbab1ad5d7871a20dd942a4b643e087d25 GIT binary patch literal 262791 zcmeF437lkAb^m$QTTRU{(^JgC6f;A?0A6|&YUyK1onrMgd zlOa{#yVQNJmj0b{&p9{$$?shA#lwrge@<`l;f3`(&bZ)$iK*E~?cckzF@5UfiN;BLN5}SzPc|kRqtlb)leVsy7>g@N>*aaOn*{V&+R 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this.__showArr + }; + }; + let jsDialog = new ModelDialog(this, { Listinstance: this.__Listinstance, ModelID: this.__ModelID, DataArr: this.__DataArr, showArr: this.__showArr }, undefined, -1, paramsLambda); + jsDialog.setController(this.ModelDialogController); + ViewPU.create(jsDialog); + }, + gridCount: 4 + }, this); + this.setInitiallyProvidedValue(params); + } + setInitiallyProvidedValue(params: ToolBar_Params) { + if (params.ModelDialogController !== undefined) { + this.ModelDialogController = params.ModelDialogController; + } + } + updateStateVars(params: ToolBar_Params) { + } + purgeVariableDependenciesOnElmtId(rmElmtId) { + this.__ModelID.purgeDependencyOnElmtId(rmElmtId); + this.__DataArr.purgeDependencyOnElmtId(rmElmtId); + this.__Listinstance.purgeDependencyOnElmtId(rmElmtId); + this.__showArr.purgeDependencyOnElmtId(rmElmtId); + } + aboutToBeDeleted() { + this.__ModelID.aboutToBeDeleted(); + this.__DataArr.aboutToBeDeleted(); + this.__Listinstance.aboutToBeDeleted(); + this.__showArr.aboutToBeDeleted(); + SubscriberManager.Get().delete(this.id__()); + this.aboutToBeDeletedInternal(); + } + private __ModelID: SynchedPropertySimpleTwoWayPU; + get ModelID() { + return this.__ModelID.get(); + } + set ModelID(newValue: number) { + this.__ModelID.set(newValue); + } + private __DataArr: SynchedPropertySimpleOneWayPU; + get DataArr() { + return this.__DataArr.get(); + } + set DataArr(newValue: any[]) { + this.__DataArr.set(newValue); + } + private __Listinstance: SynchedPropertySimpleOneWayPU; + get Listinstance() { + return this.__Listinstance.get(); + } + set Listinstance(newValue: any[][]) { + this.__Listinstance.set(newValue); + } + private __showArr: SynchedPropertySimpleOneWayPU; + get showArr() { + return this.__showArr.get(); + } + set showArr(newValue: string[]) { + this.__showArr.set(newValue); + } + private ModelDialogController: CustomDialogController; + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/ToolBar.ets(15:5)"); + Column.width('100%'); + Column.height('100%'); + Column.justifyContent(FlexAlign.Center); + Column.borderWidth(1); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //加载数据集和卷积 + Row.create(); + Row.debugLine("Components/ToolBar.ets(17:7)"); + //加载数据集和卷积 + Row.width('100%'); + //加载数据集和卷积 + Row.height('16%'); + if (!isInitialRender) { + //加载数据集和卷积 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //加载数据集 + Row.create(); + Row.debugLine("Components/ToolBar.ets(19:9)"); + //加载数据集 + Row.width('50%'); + if (!isInitialRender) { + //加载数据集 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('加载数据集'); + Text.debugLine("Components/ToolBar.ets(20:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/data.png'); + Image.debugLine("Components/ToolBar.ets(25:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 0 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 0; + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //加载数据集 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //卷积 + Row.create(); + Row.debugLine("Components/ToolBar.ets(39:9)"); + //卷积 + Row.width('50%'); + if (!isInitialRender) { + //卷积 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('卷积'); + Text.debugLine("Components/ToolBar.ets(40:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/conv.png'); + Image.debugLine("Components/ToolBar.ets(45:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 1 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 1; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //卷积 + Row.pop(); + //加载数据集和卷积 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //池化和全连接函数 + Row.create(); + Row.debugLine("Components/ToolBar.ets(63:7)"); + //池化和全连接函数 + Row.width('100%'); + //池化和全连接函数 + Row.height('16%'); + if (!isInitialRender) { + //池化和全连接函数 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //池化 + Row.create(); + Row.debugLine("Components/ToolBar.ets(65:9)"); + //池化 + Row.width('50%'); + if (!isInitialRender) { + //池化 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('池化'); + Text.debugLine("Components/ToolBar.ets(66:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/pool.png'); + Image.debugLine("Components/ToolBar.ets(71:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 2 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 2; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //池化 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //全连接函数 + Row.create(); + Row.debugLine("Components/ToolBar.ets(86:9)"); + //全连接函数 + Row.width('50%'); + if (!isInitialRender) { + //全连接函数 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('全连接函数'); + Text.debugLine("Components/ToolBar.ets(87:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/full_connect.png'); + Image.debugLine("Components/ToolBar.ets(92:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 3 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 3; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //全连接函数 + Row.pop(); + //池化和全连接函数 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //非线性函数和类别 + Row.create(); + Row.debugLine("Components/ToolBar.ets(110:7)"); + //非线性函数和类别 + Row.width('100%'); + //非线性函数和类别 + Row.height('16%'); + if (!isInitialRender) { + //非线性函数和类别 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //非线性函数 + Row.create(); + Row.debugLine("Components/ToolBar.ets(112:9)"); + //非线性函数 + Row.width('50%'); + if (!isInitialRender) { + //非线性函数 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('非线性函数'); + Text.debugLine("Components/ToolBar.ets(113:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/nonlinear.png'); + Image.debugLine("Components/ToolBar.ets(118:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 4 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 4; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //非线性函数 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //类别 + Row.create(); + Row.debugLine("Components/ToolBar.ets(133:9)"); + //类别 + Row.width('50%'); + if (!isInitialRender) { + //类别 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('类别'); + Text.debugLine("Components/ToolBar.ets(134:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/classifier.png'); + Image.debugLine("Components/ToolBar.ets(139:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 5 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 5; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //类别 + Row.pop(); + //非线性函数和类别 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //误差和调整1 + Row.create(); + Row.debugLine("Components/ToolBar.ets(157:7)"); + //误差和调整1 + Row.width('100%'); + //误差和调整1 + Row.height('16%'); + if (!isInitialRender) { + //误差和调整1 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //误差 + Row.create(); + Row.debugLine("Components/ToolBar.ets(159:9)"); + //误差 + Row.width('50%'); + if (!isInitialRender) { + //误差 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('误差'); + Text.debugLine("Components/ToolBar.ets(160:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/error.png'); + Image.debugLine("Components/ToolBar.ets(165:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 6 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 6; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //误差 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //调整1 + Row.create(); + Row.debugLine("Components/ToolBar.ets(180:9)"); + //调整1 + Row.width('50%'); + if (!isInitialRender) { + //调整1 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('调整1'); + Text.debugLine("Components/ToolBar.ets(181:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/adjust.png'); + Image.debugLine("Components/ToolBar.ets(186:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 7 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 7; + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //调整1 + Row.pop(); + //误差和调整1 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //调整2和调整3 + Row.create(); + Row.debugLine("Components/ToolBar.ets(204:7)"); + //调整2和调整3 + Row.width('100%'); + //调整2和调整3 + Row.height('16%'); + if (!isInitialRender) { + //调整2和调整3 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //调整2 + Row.create(); + Row.debugLine("Components/ToolBar.ets(206:9)"); + //调整2 + Row.width('50%'); + if (!isInitialRender) { + //调整2 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('调整2'); + Text.debugLine("Components/ToolBar.ets(207:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/adjust.png'); + Image.debugLine("Components/ToolBar.ets(212:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 8 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 8; + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //调整2 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //调整3 + Row.create(); + Row.debugLine("Components/ToolBar.ets(227:9)"); + //调整3 + Row.width('50%'); + if (!isInitialRender) { + //调整3 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('调整3'); + Text.debugLine("Components/ToolBar.ets(228:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/adjust.png'); + Image.debugLine("Components/ToolBar.ets(233:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 9 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 9; + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //调整3 + Row.pop(); + //调整2和调整3 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //主数据连接线和参数连接线 + Row.create(); + Row.debugLine("Components/ToolBar.ets(250:7)"); + //主数据连接线和参数连接线 + Row.width('100%'); + //主数据连接线和参数连接线 + Row.height('16%'); + if (!isInitialRender) { + //主数据连接线和参数连接线 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //主数据连接线 + Row.create(); + Row.debugLine("Components/ToolBar.ets(252:9)"); + //主数据连接线 + Row.width('50%'); + if (!isInitialRender) { + //主数据连接线 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('主数据连接线'); + Text.debugLine("Components/ToolBar.ets(253:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/arrow.png'); + Image.debugLine("Components/ToolBar.ets(258:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //主数据连接线 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //参数连接线 + Row.create(); + Row.debugLine("Components/ToolBar.ets(265:9)"); + //参数连接线 + Row.width('50%'); + if (!isInitialRender) { + //参数连接线 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('参数连接线'); + Text.debugLine("Components/ToolBar.ets(266:11)"); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/arrow2.png'); + Image.debugLine("Components/ToolBar.ets(271:11)"); + Image.objectFit(ImageFit.Contain); + Image.width(50); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //参数连接线 + Row.pop(); + //主数据连接线和参数连接线 + Row.pop(); + Column.pop(); + } + rerender() { + this.updateDirtyElements(); + 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any[]; + epoch_entry?: string; + batch_size_entry?: string; + rate_entry?: string; +} +export default class TrainSettingDialog extends ViewPU { + constructor(parent, params, __localStorage, elmtId = -1, paramsLambda = undefined) { + super(parent, __localStorage, elmtId); + if (typeof paramsLambda === "function") { + this.paramsGenerator_ = paramsLambda; + } + this.controller = undefined; + this.__TrainList = new SynchedPropertyObjectTwoWayPU(params.TrainList, this, "TrainList"); + this.epoch_entry = '' //训练轮数 + ; + this.batch_size_entry = '' //批次 + ; + this.rate_entry = '' //学习率 + ; + this.setInitiallyProvidedValue(params); + } + setInitiallyProvidedValue(params: TrainSettingDialog_Params) { + if (params.controller !== undefined) { + this.controller = params.controller; + } + if (params.epoch_entry !== undefined) { + this.epoch_entry = params.epoch_entry; + } + if (params.batch_size_entry !== undefined) { + this.batch_size_entry = params.batch_size_entry; + } + if (params.rate_entry !== undefined) { + this.rate_entry = params.rate_entry; + } + } + updateStateVars(params: TrainSettingDialog_Params) { + } + purgeVariableDependenciesOnElmtId(rmElmtId) { + this.__TrainList.purgeDependencyOnElmtId(rmElmtId); + } + aboutToBeDeleted() { + this.__TrainList.aboutToBeDeleted(); + SubscriberManager.Get().delete(this.id__()); + this.aboutToBeDeletedInternal(); + } + private controller: CustomDialogController; + setController(ctr: CustomDialogController) { + this.controller = ctr; + } + private __TrainList: SynchedPropertySimpleOneWayPU; + get TrainList() { + return this.__TrainList.get(); + } + set TrainList(newValue: any[]) { + this.__TrainList.set(newValue); + } + private epoch_entry: string; //训练轮数 + private batch_size_entry: string; //批次 + private rate_entry: string; //学习率 + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/TrainSettingDialog.ets(11:5)"); + Column.justifyContent(FlexAlign.Center); + Column.width('100%'); + Column.height('100%'); + Column.backgroundColor('#dddddd'); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.debugLine("Components/TrainSettingDialog.ets(12:7)"); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.debugLine("Components/TrainSettingDialog.ets(13:9)"); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('训练参数配置'); + Text.debugLine("Components/TrainSettingDialog.ets(17:9)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("Components/TrainSettingDialog.ets(24:7)"); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('训练轮数：'); + Text.debugLine("Components/TrainSettingDialog.ets(25:9)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + TextInput.create({ placeholder: '4' }); + TextInput.debugLine("Components/TrainSettingDialog.ets(28:9)"); + TextInput.width(200); + TextInput.borderRadius(0); + TextInput.backgroundColor('#eeeeee'); + TextInput.onChange((value: string) => { + this.epoch_entry = value; + }); + if (!isInitialRender) { + TextInput.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('批次：'); + Text.debugLine("Components/TrainSettingDialog.ets(36:9)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + TextInput.create({ placeholder: '0.1' }); + TextInput.debugLine("Components/TrainSettingDialog.ets(39:9)"); + TextInput.width(200); + TextInput.borderRadius(0); + TextInput.backgroundColor('#eeeeee'); + TextInput.onChange((value: string) => { + this.rate_entry = value; + }); + if (!isInitialRender) { + TextInput.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('学习率：'); + Text.debugLine("Components/TrainSettingDialog.ets(47:9)"); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + TextInput.create({ placeholder: '32' }); + TextInput.debugLine("Components/TrainSettingDialog.ets(50:9)"); + TextInput.width(200); + TextInput.borderRadius(0); + TextInput.backgroundColor('#eeeeee'); + TextInput.onChange((value: string) => { + this.batch_size_entry = value; + }); + if (!isInitialRender) { + TextInput.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.debugLine("Components/TrainSettingDialog.ets(58:9)"); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.TrainList.push({ + 'epoch_entry': this.epoch_entry, + 'rate_entry': this.rate_entry, + 'batch_size_entry': this.batch_size_entry + }); + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + Column.pop(); + } + rerender() { + this.updateDirtyElements(); + } +} diff --git a/machinelearning/machine_learning/entry/.preview/cache/.default/entry/src/main/ets/common/constants/CommonConstants.protoBin b/machinelearning/machine_learning/entry/.preview/cache/.default/entry/src/main/ets/common/constants/CommonConstants.protoBin new file mode 100644 index 0000000000000000000000000000000000000000..8c9753cf1d5d5b3de41065cc6e80946c71d652c2 GIT binary patch literal 5518 zcmcJT-)|IE6vumKx4W~qopw5av}?i3h;kUE+fGGfiBJWJ8Uq3vP5e=(+i6+con3cl zDK#MeA z?){!~?q}}Lb60-u+=&+z?fDzDU3Bf_9fuB;D(=2UdCIQc<~SACa*Gv5+t^mpGc-*l z+NC}{q1{RcFu;BDRXgMgF_ro%IzW3VrLuj@wQG)5;_e?L>E1%6JYpZS%GHuRQnm_* zi;i8gt(sGGW^=aV*5-4zThF0Yx#Hl5Q+F)~D|UMoyZy3uDX~(a^b}3<=QG9-S8Cjn z#TQFzO7-#CeOB3?@Sw6<(@2vT$)>0zOKR5yF-DfT&|R-ne`QcB%qTrKa>q^?wcmHe0gM^yf;ABeGzizJ<26A>8!sVPfxoGd}Y zFyvj?!GpFlZP##-;SzFjO&+pc7fW?rlDqP&tt_K01|ay7gwO;1hAJP$nqIF)Vf`@BMA&UPN3D7*h`9%C6KE@`TiF1t 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Cause: %{public}s', JSON.stringify(err) ?? ''); + return; + } + hilog.info(0x0000, 'testTag', 'Succeeded in loading the content. Data: %{public}s', JSON.stringify(data) ?? 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Data: ' + JSON.stringify(data)); + }).catch((err: BusinessError) => { + console.error('Failed to obtain the top window. Cause: ' + JSON.stringify(err)); + }); + } + private __Listinstance: ObservedPropertyObjectPU; + get Listinstance() { + return this.__Listinstance.get(); + } + set Listinstance(newValue: any[][]) { + this.__Listinstance.set(newValue); + } + private __ModelID: ObservedPropertySimplePU; + get ModelID() { + return this.__ModelID.get(); + } + set ModelID(newValue: number) { + this.__ModelID.set(newValue); + } + private __DataArr: ObservedPropertyObjectPU; + get DataArr() { + return this.__DataArr.get(); + } + set DataArr(newValue: any[]) { + this.__DataArr.set(newValue); + } + private __TrainList: ObservedPropertyObjectPU; + get TrainList() { + return this.__TrainList.get(); + } + set TrainList(newValue: any[]) { + this.__TrainList.set(newValue); + } + private __AllModelObjArr: ObservedPropertyObjectPU; + get AllModelObjArr() { + return this.__AllModelObjArr.get(); + } + set AllModelObjArr(newValue: any[]) { + this.__AllModelObjArr.set(newValue); + } + private __showArr: ObservedPropertyObjectPU; + get showArr() { + return this.__showArr.get(); + } + set showArr(newValue: string[]) { + this.__showArr.set(newValue); + } + aboutToAppear() { + this.changeOrientation(); + } + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.debugLine("pages/Index.ets(42:5)"); + Column.padding(5); + Column.width('100%'); + Column.height('100%'); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.debugLine("pages/Index.ets(43:7)"); + Row.width('100%'); + Row.height('65%'); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + __Common__.create(); + __Common__.width('27%'); + __Common__.height('100%'); + if (!isInitialRender) { + __Common__.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + if (isInitialRender) { + let paramsLambda = () => { + return { + Listinstance: this.Listinstance, + ModelID: this.ModelID, + DataArr: this.DataArr, + showArr: this.showArr + }; + }; + ViewPU.create(new + //功能栏 + ToolBar(this, { Listinstance: this.__Listinstance, ModelID: this.__ModelID, DataArr: this.__DataArr, showArr: this.__showArr }, undefined, elmtId, paramsLambda)); + } + else { + this.updateStateVarsOfChildByElmtId(elmtId, {}); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + } + __Common__.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + __Common__.create(); + __Common__.width('73%'); + __Common__.height('100%'); + if (!isInitialRender) { + __Common__.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + if (isInitialRender) { + let paramsLambda = () => { + return { + ModelID: this.ModelID, + DataArr: this.DataArr, + AllModelObjArr: this.AllModelObjArr, + showArr: this.showArr + }; + }; + ViewPU.create(new + //内容区 + Content(this, { ModelID: this.__ModelID, DataArr: this.__DataArr, AllModelObjArr: this.__AllModelObjArr, showArr: this.__showArr }, undefined, elmtId, paramsLambda)); + } + else { + this.updateStateVarsOfChildByElmtId(elmtId, {}); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + } + __Common__.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + __Common__.create(); + __Common__.width('100%'); + __Common__.height('35%'); + if (!isInitialRender) { + __Common__.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + if (isInitialRender) { + let paramsLambda = () => { + return { + TrainList: this.TrainList, + AllModelObjArr: this.AllModelObjArr, + ModelID: this.ModelID, + showArr: this.showArr + }; + }; + ViewPU.create(new + //展示区 + Display(this, { TrainList: this.__TrainList, AllModelObjArr: this.__AllModelObjArr, ModelID: this.__ModelID, showArr: this.__showArr }, undefined, elmtId, paramsLambda)); + } + else { + this.updateStateVarsOfChildByElmtId(elmtId, {}); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + } + __Common__.pop(); + Column.pop(); + } + rerender() { + this.updateDirtyElements(); + } +} 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\ No newline at end of file diff --git a/machinelearning/machine_learning/entry/.preview/default/generated/r/default/ResourceTable.h b/machinelearning/machine_learning/entry/.preview/default/generated/r/default/ResourceTable.h new file mode 100644 index 0000000..410c343 --- /dev/null +++ b/machinelearning/machine_learning/entry/.preview/default/generated/r/default/ResourceTable.h @@ -0,0 +1,44 @@ +/* + * Copyright (c) 2023 Huawei Device Co., Ltd. + * Licensed 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. + */ + +#ifndef RESOURCE_TABLE_H +#define RESOURCE_TABLE_H + +#include + +namespace OHOS { +const int32_t STRING_ENTRYABILITY_DESC = 0x01000004; +const int32_t STRING_ENTRYABILITY_LABEL = 0x01000005; +const int32_t STRING_APP_NAME = 0x01000001; +const int32_t STRING_MODULE_DESC = 0x01000006; +const int32_t COLOR_START_WINDOW_BACKGROUND = 0x01000011; +const int32_t MEDIA_ADJUST = 0x01000013; +const int32_t MEDIA_APP_ICON = 0x01000000; +const int32_t MEDIA_ARROW = 0x01000012; +const int32_t MEDIA_ARROW1 = 0x01000007; +const int32_t MEDIA_ARROW2 = 0x01000003; +const int32_t MEDIA_CLASSIFIER = 0x01000002; +const int32_t MEDIA_CONV = 0x0100000b; +const int32_t MEDIA_DATA = 0x01000010; +const int32_t MEDIA_ERROR = 0x0100000a; +const int32_t MEDIA_FULL_CONNECT = 0x01000014; +const int32_t MEDIA_ICON = 0x0100000c; +const int32_t MEDIA_ICON_LOGO = 0x01000009; +const int32_t MEDIA_NONLINEAR = 0x0100000d; +const int32_t MEDIA_POOL = 0x0100000e; +const int32_t MEDIA_STARTICON = 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], + "virtualMachine": "ark9.0.0.0", + "compileMode": "esmodule", + "dependencies": [] + } +} diff --git a/machinelearning/machine_learning/entry/.preview/default/intermediates/res/default/ResourceTable.txt b/machinelearning/machine_learning/entry/.preview/default/intermediates/res/default/ResourceTable.txt new file mode 100644 index 0000000..b10d6cb --- /dev/null +++ b/machinelearning/machine_learning/entry/.preview/default/intermediates/res/default/ResourceTable.txt @@ -0,0 +1,21 @@ +string EntryAbility_desc 0x01000004 +string EntryAbility_label 0x01000005 +string app_name 0x01000001 +string module_desc 0x01000006 +color start_window_background 0x01000011 +media adjust 0x01000013 +media app_icon 0x01000000 +media arrow 0x01000012 +media arrow1 0x01000007 +media arrow2 0x01000003 +media classifier 0x01000002 +media conv 0x0100000b +media data 0x01000010 +media error 0x0100000a +media full_connect 0x01000014 +media icon 0x0100000c +media icon_logo 0x01000009 +media nonlinear 0x0100000d 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"string" + }, + { + "id" : "0x01000007", + "name" : "arrow1", + "type" : "media" + }, + { + "id" : "0x01000008", + "name" : "startIcon", + "type" : "media" + }, + { + "id" : "0x01000009", + "name" : "icon_logo", + "type" : "media" + }, + { + "id" : "0x0100000A", + "name" : "error", + "type" : "media" + }, + { + "id" : "0x0100000B", + "name" : "conv", + "type" : "media" + }, + { + "id" : "0x0100000C", + "name" : "icon", + "type" : "media" + }, + { + "id" : "0x0100000D", + "name" : "nonlinear", + "type" : "media" + }, + { + "id" : "0x0100000E", + "name" : "pool", + "type" : "media" + }, + { + "id" : "0x0100000F", + "name" : "main_pages", + "type" : "profile" + }, + { + "id" : "0x01000010", + "name" : "data", + "type" : "media" + }, + { + "id" : "0x01000011", + "name" : "start_window_background", + "type" : "color" + }, + { + "id" : "0x01000012", + "name" : "arrow", + "type" : "media" + }, + { + "id" : "0x01000013", + "name" : "adjust", + "type" : "media" + }, + { + "id" : "0x01000014", + "name" : "full_connect", + "type" : "media" + } + ] +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/.preview/default/intermediates/res/default/module.json b/machinelearning/machine_learning/entry/.preview/default/intermediates/res/default/module.json new file mode 100644 index 0000000..8319fc1 --- /dev/null +++ b/machinelearning/machine_learning/entry/.preview/default/intermediates/res/default/module.json @@ -0,0 +1,69 @@ +{ + "app" : + { + "apiReleaseType" : "Release", + "bundleName" : "com.example.machinelearning", + "compileSdkType" : "OpenHarmony", + "compileSdkVersion" : "4.0.10.13", + "debug" : true, + "icon" : "$media:app_icon", + "iconId" : 16777216, + "label" : "$string:app_name", + "labelId" : 16777217, + "minAPIVersion" : 9, + "targetAPIVersion" : 10, + "vendor" : "example", + "versionCode" : 1000000, + "versionName" : "1.0.0" + }, + "module" : + { + "abilities" : + [ + { + "description" : "$string:EntryAbility_desc", + "descriptionId" : 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this.__AllModelObjArr.set(newValue); + } + private __showArr: SynchedPropertySimpleOneWayPU; + get showArr() { + return this.__showArr.get(); + } + set showArr(newValue: string[]) { + this.__showArr.set(newValue); + } + private __temp: ObservedPropertyObjectPU; + get temp() { + return this.__temp.get(); + } + set temp(newValue: number[]) { + this.__temp.set(newValue); + } + // @State save: string[] = [] + private __isLoadEnabled: ObservedPropertySimplePU; + get isLoadEnabled() { + return this.__isLoadEnabled.get(); + } + set isLoadEnabled(newValue: boolean) { + this.__isLoadEnabled.set(newValue); + } + private kernel_size_entry: number; + private stride_entry: number; + private pool_type_combobox: string; + private pool_size_entry: number; + private num_outputs_entry: number; + drawArrow(sx, sy, ex, ey) { + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx + 42, sy + 20); + CommonConstants.context.lineTo(ex, ey + 20); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + // CommonConstants.context.beginPath() + // CommonConstants.context.fillStyle = '#a500cc' + // CommonConstants.context.moveTo(ex, ey) + // CommonConstants.context.lineTo(ex, ey - 5) + // CommonConstants.context.lineTo(ex - 5, ey) + // CommonConstants.context.fill() + // CommonConstants.context.closePath() + } + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.margin({ left: 3 }); + Column.width('100%'); + Column.height('100%'); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //功能按钮 + Row.create({ space: 5 }); + //功能按钮 + Row.justifyContent(FlexAlign.SpaceBetween); + //功能按钮 + Row.width('100%'); + //功能按钮 + Row.height('10%'); + if (!isInitialRender) { + //功能按钮 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('加载已有模型'); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#77ff00'); + Text.border({ width: 1 }); + Text.enabled(this.isLoadEnabled); + Text.onClick(() => { + this.isLoadEnabled = false; + CommonConstants.context.drawImage(CommonConstants.data, 20, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('数据集', 20 + 5, 90 + 50); + this.AllModelObjArr.push([0, 150, 150]); + this.temp[0]++; + CommonConstants.context.drawImage(CommonConstants.conv, 90, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('3*3' + '卷积', 90 + 5, 90 + 50); + this.AllModelObjArr.push([1, 90, 90]); + this.temp[1]++; + this.drawArrow(20, 90, 90, 90); + CommonConstants.context.drawImage(CommonConstants.full_connect, 160, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('5--全连接', 160 + 2, 90 + 50); + this.AllModelObjArr.push([3, 160, 90]); + this.temp[3]++; + this.drawArrow(90, 90, 160, 90); + CommonConstants.context.drawImage(CommonConstants.nonlinear, 230, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('Sigmoid处理', 230 + 3, 90 + 50); + this.AllModelObjArr.push([4, 230, 90]); + this.temp[4]++; + this.drawArrow(160, 90, 230, 90); + // DrawImage({ image: this.classifier, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.classifier, 300, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('输出分类结果', 300 - 5, 90 + 50); + this.AllModelObjArr.push([5, 300, 90]); + this.temp[5]++; + this.drawArrow(230, 90, 300, 90); + // DrawImage({ image: this.error, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.error, 370, 90, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('误差计算', 370, 90 + 50); + this.AllModelObjArr.push([6, 370, 90]); + this.temp[6]++; + this.drawArrow(300, 90, 370, 90); + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.adjust, 440, 90, 40, 40); + this.AllModelObjArr.push([7, 440, 90]); + this.temp[7]++; + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.adjust, 440, 90, 40, 40); + this.AllModelObjArr.push([8, 440, 90]); + this.drawArrow(370, 90, 440, 90); + this.temp[8]++; + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.adjust, 510, 90, 40, 40); + this.AllModelObjArr.push([9, 510, 0]); + this.drawArrow(440, 90, 510, 90); + this.temp[9]++; + console.log(AppStorage.get('SaveText')); + this.showArr.push('数据集已加载'); + this.showArr.push('tensor([[[[-0.0134, -0.1962, 1.0880, -0.0022, 0.1482, 0.0725, 0.0937,1.0789],[ 0.0033, 0.4381, 0.3818, -0.4521, 0.6097, -0.2371, 0.9600,1.2070],[-0.1606, 0.5197, -0.1671, 0.8567, -0.3522, -0.7583, 0.4042,0.5243],[ 1.1485, -1.1297, 0.7452, 0.7836, -0.0784, -0.1691, 0.6973,-0.3798],\n[ 1.2588, -0.7680, 0.0982, -0.8352, -0.5174, 0.2096, -0.1403,0.3098],[ 0.1852, -0.4641, -0.1673, 0.0630, 0.3776, -0.1029, -0.6249,0.9654],\n[ 0.3690, -0.1096, 0.6028, 0.1366, 0.4057, 0.5722, 0.0064,0.5854],[ 0.4958, 0.1987, 0.0410, -0.3032, 0.3825, -0.0614, 0.3641,0.5822]]]])'); + this.showArr.push('tensor([[ 0.8430, 0.4639, 0.4960, 0.2869, -0.1519]])'); + this.showArr.push('tensor([[0.1820, 0.1939, 0.1981, 0.1502, 0.2757]])'); + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('新建模型'); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#77ff00'); + Text.border({ width: 1 }); + Text.onClick(() => { + // restart_new_model() + router.replaceUrl({ + url: 'pages/Index' + }); + AppStorage.set('LogText', ''); + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('图元参数设置'); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#77ff00'); + Text.border({ width: 1 }); + Text.onClick(() => { + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('保存模型'); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#77ff00'); + Text.border({ width: 1 }); + Text.onClick(() => { + if (this.temp[7] >= 1) { + this.save_images(); + promptAction.showToast({ + message: '保存成功', + duration: 2000 + }); + } + else { + promptAction.showToast({ + message: '模型连接错误', + duration: 2000 + }); + } + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('模型正确性检查'); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#77ff00'); + Text.border({ width: 1 }); + Text.onClick(() => { + promptAction.showToast({ + message: this.temp[7] >= 1 ? '连接正确' : '连接错误', + duration: 2000 + }); + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('退出'); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#ff3333'); + Text.border({ width: 1 }); + Text.onClick(() => { + router.back(); + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + //功能按钮 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.borderWidth(1); + Row.width('100%'); + Row.height('90%'); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Canvas.create(CommonConstants.context); + Canvas.onClick((event: ClickEvent) => { + if (this.ModelID == 0 && this.temp[0] == 0) { + // DrawImage({ image: this.data, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.data, event.x, event.y, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('数据集', event.x + 5, event.y + 50); + console.log('event.x=' + event.x + ' event.y=' + event.y); + this.AllModelObjArr.push([0, event.x, event.y]); + this.temp[0]++; + this.showArr.push('数据集已加载'); + // this.save.push(new Point(event.x, event.y, this.ModelID, '数据集')) + } + else if (this.ModelID == 1) { //卷积 + let len = this.DataArr.length; + console.log("hellohello" + this.DataArr[len - 1]['kernel_size_entry'] + "ininin" + this.DataArr[len - 1]['stride_entry']); + if (this.temp[0] && this.DataArr[len - 1]['kernel_size_entry'] && this.DataArr[len - 1]['stride_entry']) { + // DrawImage({ image: this.conv, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.conv, event.x, event.y, 40, 40); + this.kernel_size_entry = this.DataArr[len - 1]['kernel_size_entry']; + this.stride_entry = this.DataArr[len - 1]['stride_entry']; + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText(this.kernel_size_entry + '*' + this.kernel_size_entry + '卷积', event.x + 5, event.y + 50); + this.AllModelObjArr.push([1, event.x, event.y]); + this.temp[1]++; + // this.save.push(new Point(event.x, event.y, this.ModelID, (this.kernel_size_entry + '*' + this.kernel_size_entry + '卷积'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1) { + this.showArr.push('tensor([[[[-0.0134, -0.1962, 1.0880, -0.0022, 0.1482, 0.0725, 0.0937,1.0789],[ 0.0033, 0.4381, 0.3818, -0.4521, 0.6097, -0.2371, 0.9600,1.2070],[-0.1606, 0.5197, -0.1671, 0.8567, -0.3522, -0.7583, 0.4042,0.5243],[ 1.1485, -1.1297, 0.7452, 0.7836, -0.0784, -0.1691, 0.6973,-0.3798],\n[ 1.2588, -0.7680, 0.0982, -0.8352, -0.5174, 0.2096, -0.1403,0.3098],[ 0.1852, -0.4641, -0.1673, 0.0630, 0.3776, -0.1029, -0.6249,0.9654],\n[ 0.3690, -0.1096, 0.6028, 0.1366, 0.4057, 0.5722, 0.0064,0.5854],[ 0.4958, 0.1987, 0.0410, -0.3032, 0.3825, -0.0614, 0.3641,0.5822]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1) { + this.showArr.push('tensor([[[[-0.4874, 0.7384, -1.6970, 0.2020, 0.1609, 0.3237],[-0.9838, 0.9160, 0.0670, 0.5332, -0.9977, -0.8638],[ 0.6242, 0.9128, 0.1488, -0.3978, -0.9426, -0.6181],[ 0.1971, -0.7169, 0.5764, -0.2893, 0.2324, 0.6313],\n[-0.1713, -0.3927, 0.4514, 0.6206, -0.6940, 0.2667],[ 0.2802, -0.2659, 0.8624, -0.4083, 0.0460, -0.0076]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1) { + this.showArr.push('tensor([[[[ 0.2200, 0.1786, -0.4796, 0.0179],[ 0.8451, 0.5322, -0.7935, 0.0219],[-0.0062, 0.3043, 0.3664, 0.4143],[-0.0788, -0.3161, 0.7487, -0.1581]]]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2) { + this.showArr.push('tensor([[[[-0.9337, 0.0745, -0.0844, -0.9482],[-0.8150, -0.2888, -0.0274, -0.5448],[-0.0586, 0.0494, -0.7577, -0.1680],[ 0.0058, -0.4213, -0.5265, 0.2654]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2) { + this.showArr.push('tensor([[[[ 0.7389, 0.9307, 0.0525],[ 0.1518, -0.3735, -0.5886],[ 0.8594, -0.6091, 0.5225]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2) { + this.showArr.push('tensor([[[[ 1.0233, 0.0583],[ 0.4498, -0.6545]]]])'); + } + } + } + else if (this.ModelID == 2) { //池化 + let len = this.DataArr.length; + if (this.temp[1] && this.DataArr[len - 1]['pool_type_combobox'] && this.temp[2] == 0) { + // DrawImage({ image: this.pool, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.pool, event.x, event.y, 40, 40); + let len = this.DataArr.length; + this.pool_type_combobox = this.DataArr[len - 1]['pool_type_combobox']; + this.pool_size_entry = this.DataArr[len - 1]['pool_size_entry']; + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText(this.pool_size_entry + '*' + this.pool_size_entry + this.pool_type_combobox + '池化', event.x, event.y + 50); + this.AllModelObjArr.push([2, event.x, event.y]); + this.temp[2]++; + // this.save.push(new Point(event.x, event.y, this.ModelID, (this.pool_size_entry + '*' + this.pool_size_entry + this.pool_type_combobox + '池化'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.3709, 0.9153, 0.2770, 0.7611],[1.1211, 0.7780, 1.1351, 0.5696],[0.7411, 0.5163, 0.5767, 0.9177],[0.2249, 1.1004, 0.9144, 0.0487]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.2726, 0.2360, 0.3854],[1.0497, 0.8585, 0.4598],[0.5655, 0.4090, 1.0777]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.9764, 1.0485],[1.7456, 0.7602]]]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.5768, 0.2833],[0.6682, 0.5038]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.1050]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[1.0111]]]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[ 0.2561, -0.0163, 0.1170, -0.1636],[ 0.1961, 0.0845, 0.3065, 0.1961],[ 0.1303, 0.2925, 0.3443, 0.2922],[ 0.0602, 0.0409, 0.4259, 0.0721]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[-0.0662, -0.1149, -0.3240],[ 0.2467, 0.3095, 0.2449],[ 0.0851, 0.4907, 0.1141]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[-0.1290, -0.2480],[ 0.1484, -0.0324]]]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[ 0.0709, 0.0183],[ 0.4691, -0.3462]]]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[0.1186]]]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[0.1667]]]])'); + } + } + } + else if (this.ModelID == 3) { //全连接 + let len = this.DataArr.length; + if (this.temp[2] && this.DataArr[len - 1]['num_outputs_entry'] && this.temp[3] == 0) { + // DrawImage({ image: this.full_connect, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.full_connect, event.x, event.y, 40, 40); + let len = this.DataArr.length; + this.num_outputs_entry = this.DataArr[len - 1]['num_outputs_entry']; + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText(this.num_outputs_entry + '--全连接', event.x + 2, event.y + 50); + this.AllModelObjArr.push([3, event.x, event.y]); + this.temp[3]++; + // this.save.push(new Point(event.x, event.y, this.ModelID, (this.num_outputs_entry + '--全连接'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.8430, 0.4639, 0.4960, 0.2869, -0.1519]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.1748, 0.2053, -0.4904, 0.0787, -0.3058]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.2453, 0.7561, 0.1178, -0.2876, -0.2929]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.3083, -0.1718, -0.0930, 0.4225, -0.2758]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.7466, -0.7196, -1.4761, 1.5438, -1.4053]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 1.2008, 0.0185, -0.2925, -0.8986, 0.6176]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.0281, 0.0526, 0.1051, 0.2233, -0.1085]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.0175, 0.2273, 0.1076, -0.3133, -0.0441]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.2400, -0.2518, -0.0471, 0.2277, 0.1734]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.6036, -0.0845, 0.3232, 0.3640, 0.0129]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.5800, -0.4243, 0.9183, -0.9735, 0.4720]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.7089, -0.1477, 0.4270, 0.6791, -0.3590]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.4249, -0.2973, 0.0038, -0.0580, 0.0632, -0.0339, 0.1261, 0.1313, -0.1238, 0.0665]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.0504, 0.1315, -0.6201, 0.0473, 0.4805, -0.0796, 0.2596, -0.3193, -0.3940, -0.2020]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.4090, 0.4147, 0.6487, -0.3629, -0.3484, -0.1875, -0.3686, -0.5886, -0.7075, 0.1032]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.3897, 0.4267, 0.5004, -0.6866, -1.0243, -0.1148, 0.7304, 0.4679, -0.7236, 0.7823]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.6382, -0.3088, -0.3561, 0.0828, 0.0518, 0.1949, -0.5738, -0.2345, 0.2991, -0.9273]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.5727, -0.1920, -0.5151, -1.0427, -0.4574, -0.6762, 0.5131, -0.1120, 0.0391, 0.2446]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.1564, 0.3556, -0.1351, 0.1361, 0.2033, 0.0809, 0.1767, 0.1210, 0.3280, -0.2914]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.2261, 0.0060, -0.0676, 0.0333, -0.0897, 0.2548, -0.0256, 0.1189, 0.0922, -0.3367]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.4802, 0.2031, -0.5436, 0.1421, -0.1331, -0.3931, -0.3846, 0.5004, -0.0435, 0.0126]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.0979, -0.1645, 0.2052, -0.6433, -0.2871, 0.1662, -0.1271, 0.4818, -0.4955, 0.1770]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.5348, 0.0758, -0.9927, 0.3091, -0.5952, 0.8165, 0.1283, 0.6039, -0.4501, -0.4889]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.1460, -1.1606, 0.6688, 0.0959, -0.8042, 0.6037, -1.1703, 0.6725, -0.3544, -1.3215]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.1608, -0.2595, 0.2194, -0.7454, 0.4069, 0.0870, -0.0299, -0.5744, 1.3357, 0.4431]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 1.8365e-01, -1.6593e-01, 3.6458e-02, -2.0534e-05, -4.9897e-02, -3.7728e-01, 7.3147e-02, 1.9757e-01, 2.7765e-01, 2.0895e-01]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.5150, -0.4136, -0.1379, 0.5046, -0.4168, 0.4718, 0.3578, -0.0597, 0.2906, 0.4614]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.9533, -0.8007, 0.4054, 0.0565, 0.4350, 0.3419, -0.5479, -0.0126, -0.0937, 0.0899]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.7360, -0.4937, 0.0372, -0.7249, -0.6149, -0.0489, -0.6061, -0.4459, -0.0656, 1.3277]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.3827, 0.6127, 1.2174, -0.7355, -0.1307, 0.9750, 0.9632, -0.0470, 0.7470, -0.1429]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[-0.1990, -0.1022, 0.2421, 0.0140, -0.3644, 0.2187, 0.0227, 0.1435, 0.0863, 0.1278]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.3643, 0.1440, 0.1252, 0.1224, 0.6934, -0.2651, 0.2311, -0.3368, 0.5647, -0.0990]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[-0.2740, 0.1192, 0.4515, -0.1104, -0.5225, 0.2964, 0.1486, 0.4409, -0.1470, 0.3240]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.5326, 0.1677, -0.4638, -0.2603, 0.4328, -0.0448, -0.5383, -0.3798, -0.4663, 0.4492]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[-0.2946, 0.5148, 0.1413, -0.0439, 0.1985, -0.1225, 0.6737, 0.6060, 0.9344, 0.5184]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 1.0891, -0.3327, -0.3149, -0.7376, -0.2826, 0.3113, 0.6477, 1.1800, -0.4299, 0.8045]])'); + } + } + } + else if (this.ModelID == 4) { //非线性 + let len = this.DataArr.length; + if (this.temp[3] && this.DataArr[len - 1]['nonlinear_mode_combobox'] && this.temp[4] == 0) { + // DrawImage({ image: this.nonlinear, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.nonlinear, event.x, event.y, 40, 40); + let len = this.DataArr.length; + let nonlinear_mode_combobox = this.DataArr[len - 1]['nonlinear_mode_combobox']; + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText(nonlinear_mode_combobox + '处理', event.x + 3, event.y + 50); + this.AllModelObjArr.push([4, event.x, event.y]); + this.temp[4]++; + // this.save.push(new Point(event.x, event.y, this.ModelID, (nonlinear_mode_combobox + '处理'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1820, 0.1939, 0.1981, 0.1502, 0.2757]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1258, 0.1570, 0.2210, 0.1684, 0.3278]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1249, 0.1165, 0.2768, 0.2812, 0.2006]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.2781, 0.2767, 0.1147, 0.1300, 0.2005]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1895, 0.1720, 0.1251, 0.1031, 0.4103]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.3001, 0.2823, 0.0746, 0.0872, 0.2558]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.2179, 0.2400, 0.1714, 0.2205, 0.1501]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1959, 0.2301, 0.2041, 0.2248, 0.1451]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1844, 0.1335, 0.2246, 0.3329, 0.1246]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1932, 0.1510, 0.2321, 0.2005, 0.2232]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.2440, 0.2698, 0.1494, 0.1523, 0.1845]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.0921, 0.1517, 0.0645, 0.3738, 0.3179]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0761, 0.0974, 0.0580, 0.1528, 0.1038, 0.0616, 0.1149, 0.1414, 0.1175, 0.0766]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1155, 0.0946, 0.1033, 0.0874, 0.1298, 0.0849, 0.0945, 0.0932, 0.1486, 0.0481]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1109, 0.0664, 0.0553, 0.0816, 0.1277, 0.1609, 0.1037, 0.0452, 0.2198, 0.0285]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0386, 0.0660, 0.1189, 0.0654, 0.0727, 0.0702, 0.2543, 0.1070, 0.1166, 0.0904]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0488, 0.0725, 0.0331, 0.1236, 0.0803, 0.0415, 0.0857, 0.3223, 0.0969, 0.0953]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0770, 0.1089, 0.1543, 0.0878, 0.1608, 0.0656, 0.0637, 0.0388, 0.0764, 0.1667]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0912, 0.0781, 0.0910, 0.1178, 0.1213, 0.0741, 0.0863, 0.1116, 0.1169, 0.1117]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1050, 0.0836, 0.0889, 0.1105, 0.0894, 0.1247, 0.1099, 0.1015, 0.0752, 0.1113]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0947, 0.0838, 0.1011, 0.1497, 0.0710, 0.0692, 0.1320, 0.0733, 0.1074, 0.1177]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1408, 0.0694, 0.0935, 0.0942, 0.1106, 0.1530, 0.1006, 0.1035, 0.0636, 0.0707]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0919, 0.0387, 0.1084, 0.0917, 0.1098, 0.1079, 0.0735, 0.0875, 0.1159, 0.1747]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.2100, 0.2868, 0.0336, 0.0460, 0.0778, 0.0496, 0.0360, 0.0700, 0.1701, 0.0200]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0575, 0.0413, 0.0516, 0.0569, 0.0322, 0.0497, 0.0526, 0.0856, 0.0532, 0.0353, 0.0504, 0.0444, 0.0489, 0.0323, 0.0509, 0.0561, 0.0409, 0.0561, 0.0506, 0.0533]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0422, 0.0312, 0.0158, 0.0724, 0.0196, 0.0671, 0.0280, 0.0280, 0.0949, 0.0226, 0.0719, 0.0709, 0.0571, 0.0379, 0.0201, 0.0322, 0.0685, 0.0560, 0.1117, 0.0517]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0738, 0.0679, 0.0419, 0.0526, 0.0677, 0.0310, 0.0464, 0.0286, 0.0982, 0.0724, 0.0684, 0.0536, 0.0243, 0.0509, 0.0312, 0.0297, 0.0224, 0.0577, 0.0402, 0.0412]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0538, 0.0452, 0.0619, 0.0306, 0.0340, 0.0474, 0.0682, 0.0293, 0.0474, 0.0487, 0.0308, 0.0505, 0.0302, 0.0884, 0.0931, 0.0359, 0.1052, 0.0298, 0.0437, 0.0260]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0987, 0.0490, 0.0834, 0.0584, 0.0347, 0.0578, 0.0251, 0.0299, 0.0894, 0.0366, 0.0267, 0.0525, 0.0579, 0.0507, 0.0341, 0.0315, 0.0471, 0.0514, 0.0540, 0.0309]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0388, 0.0193, 0.0286, 0.0422, 0.0575, 0.0204, 0.0654, 0.0180, 0.0604, 0.0878, 0.0442, 0.0751, 0.0546, 0.1079, 0.0189, 0.0335, 0.0214, 0.0562, 0.0651, 0.0846]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0254, 0.0441, 0.0775, 0.0838, 0.0819, 0.0324, 0.0445, 0.0551, 0.0585, 0.0335, 0.0393, 0.0490, 0.0146, 0.0155, 0.0588, 0.0740, 0.0334, 0.0708, 0.0708, 0.0371]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0341, 0.0658, 0.0271, 0.0670, 0.0202, 0.0393, 0.1201, 0.0309, 0.0167, 0.0322, 0.0349, 0.0240, 0.0296, 0.0875, 0.0282, 0.0540, 0.0286, 0.1126, 0.1211, 0.0260]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0582, 0.0569, 0.0686, 0.0339, 0.0423, 0.0408, 0.0282, 0.0456, 0.0643, 0.0291, 0.0564, 0.0350, 0.0975, 0.0486, 0.0420, 0.0334, 0.0829, 0.0441, 0.0611, 0.0313]])'); + } + else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0348, 0.1509, 0.0223, 0.0403, 0.0353, 0.0422, 0.0414, 0.0234, 0.0400, 0.0389, 0.0602, 0.0280, 0.0611, 0.0153, 0.0696, 0.0243, 0.0988, 0.0809, 0.0502, 0.0421]])'); + } + else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0474, 0.0843, 0.0303, 0.0462, 0.0524, 0.0281, 0.0316, 0.0324, 0.0973, 0.0390, 0.0707, 0.0437, 0.0408, 0.0800, 0.0694, 0.0585, 0.0344, 0.0356, 0.0456, 0.0323]])'); + } + else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0209, 0.0252, 0.0217, 0.0550, 0.0471, 0.0191, 0.0642, 0.0309, 0.0930, 0.1062, 0.0946, 0.0307, 0.0361, 0.0770, 0.0695, 0.0717, 0.0581, 0.0320, 0.0210, 0.0258]])'); + } + } + } + else if (this.ModelID == 5 && this.temp[4] && this.temp[5] == 0) { //类别 + // DrawImage({ image: this.classifier, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '输出分类结果')) + CommonConstants.context.drawImage(CommonConstants.classifier, event.x, event.y, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('输出分类结果', event.x - 5, event.y + 50); + this.AllModelObjArr.push([5, event.x, event.y]); + this.temp[5]++; + } + else if (this.ModelID == 6 && this.temp[5] && this.temp[6] == 0) { //误差 + // DrawImage({ image: this.error, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '误差计算')) + CommonConstants.context.drawImage(CommonConstants.error, event.x, event.y, 40, 40); + CommonConstants.context.font = '10px'; + CommonConstants.context.fillStyle = '#000000'; + CommonConstants.context.fillText('误差计算', event.x, event.y + 50); + this.AllModelObjArr.push([6, event.x, event.y]); + this.temp[6]++; + } + else if (this.ModelID == 7 && this.temp[6] && this.temp[7] == 0) { //调整1 + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '')) + CommonConstants.context.drawImage(CommonConstants.adjust, event.x, event.y, 40, 40); + this.AllModelObjArr.push([7, event.x, event.y]); + this.temp[7]++; + } + else if (this.ModelID == 8 && this.temp[7] && this.temp[8] == 0) { //调整2 + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '')) + CommonConstants.context.drawImage(CommonConstants.adjust, event.x, event.y, 40, 40); + this.AllModelObjArr.push([8, event.x, event.y]); + this.temp[8]++; + } + else if (this.ModelID == 9 && this.temp[8] && this.temp[9] == 0) { //调整3 + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '')) + CommonConstants.context.drawImage(CommonConstants.adjust, event.x, event.y, 40, 40); + this.AllModelObjArr.push([9, event.x, event.y]); + this.temp[9]++; + } + //连接线 + if (this.temp[0] > 0 && this.temp[1] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 0) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[0]--; + } + if (this.temp[1] > 0 && this.temp[2] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 1) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[1]--; + } + if (this.temp[2] > 0 && this.temp[3] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 2) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[2]--; + } + if (this.temp[3] > 0 && this.temp[4] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 3) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[3]--; + } + if (this.temp[4] > 0 && this.temp[5] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 4) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[4]--; + } + if (this.temp[5] > 0 && this.temp[6] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 5) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[5]--; + } + if (this.temp[6] > 0 && this.temp[7] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 6) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[6]--; + } + if (this.temp[7] > 0 && this.temp[8] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 7) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[7]--; + } + if (this.temp[8] > 0 && this.temp[9] > 0) { + let sx, sy, ex, ey; + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 8) { + sx = this.AllModelObjArr[i][1]; + sy = this.AllModelObjArr[i][2]; + break; + } + } + ex = event.x; + ey = event.y; + if (ex <= sx && ey <= sy) { //左上角 + sx = sx; + sy = sy; + ex = ex + 40; + ey = ey + 35; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40; + sy = sy; + ex = ex; + ey = ey + 25; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.lineTo(ex, ey + 5); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex <= sx && ey >= sy) { //左下角 + sx = sx; + sy = sy + 40; + ex = ex + 40; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex + 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40; + sy = sy + 40; + ex = ex; + ey = ey; + CommonConstants.context.beginPath(); + CommonConstants.context.strokeStyle = '#a500cc'; + CommonConstants.context.lineWidth = 1.5; + CommonConstants.context.moveTo(sx, sy); + CommonConstants.context.lineTo(ex, ey); + CommonConstants.context.stroke(); + CommonConstants.context.closePath(); + CommonConstants.context.beginPath(); + CommonConstants.context.fillStyle = '#a500cc'; + CommonConstants.context.moveTo(ex, ey); + CommonConstants.context.lineTo(ex, ey - 5); + CommonConstants.context.lineTo(ex - 5, ey); + CommonConstants.context.fill(); + CommonConstants.context.closePath(); + } + this.temp[8]--; + } + setTimeout(() => { + this.ModelID = -1; + }, 500); + }); + Canvas.width('100%'); + Canvas.height('100%'); + if (!isInitialRender) { + Canvas.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Canvas.pop(); + Row.pop(); + Column.pop(); + } + save_images() { + AppStorage.setOrCreate('SaveText', this.showArr); + // + // 将canvas画布信息储存到AppStorage + // CommonConstants.context.drawImage(CommonConstants.data, save[0].x, save[0].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText('数据集', save[0].x + 5, save[0].y + 50) + // this.AllModelObjArr.push([0, save[0].x, save[0].y]) + // this.temp[0]++ + // + // CommonConstants.context.drawImage(CommonConstants.conv, save[1].x, save[1].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[1].text, save[1].x + 5, save[1].y + 50) + // this.AllModelObjArr.push([1, save[1].x, save[1].y]) + // this.temp[1]++ + // + // + // CommonConstants.context.drawImage(CommonConstants.pool, save[2].x, save[2].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[1].text, save[2].x + 5, save[2].y + 50) + // this.AllModelObjArr.push([2, save[2].x, save[2].y]) + // this.temp[2]++ + // + // CommonConstants.context.drawImage(CommonConstants.full_connect, save[3].x, save[3].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[3].text, save[3].x + 2, save[3].y + 50) + // this.AllModelObjArr.push([3, save[3].x, save[3].y]) + // this.temp[3]++ + // + // CommonConstants.context.drawImage(CommonConstants.nonlinear, save[4].x, save[4].y, 40, 40) + // + // + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[4].text, save[4].x + 3, save[4].y + 50) + // this.AllModelObjArr.push([4, save[4].x, save[4].y]) + // this.temp[4]++ + // + // CommonConstants.context.drawImage(CommonConstants.classifier, save[5].x, save[5].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText('输出分类结果', save[5].x - 5, save[5].y + 50) + // this.AllModelObjArr.push([5, save[5].x, save[5].y]) + // this.temp[5]++ + // CommonConstants.context.drawImage(CommonConstants.error, save[6].x, save[6].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText('误差计算', save[6].x, save[6].y + 50) + // this.AllModelObjArr.push([6, save[6].x, save[6].y]) + // this.temp[6]++ + // CommonConstants.context.drawImage(CommonConstants.adjust, save[7].x, save[7].y, 40, 40) + // this.AllModelObjArr.push([7, save[7].x, save[7].y]) + // this.temp[7]++ + // CommonConstants.context.drawImage(CommonConstants.adjust, save[8].x, save[8].y, 40, 40) + // this.AllModelObjArr.push([8, save[8].x, save[8].y]) + // this.temp[8]++ + // CommonConstants.context.drawImage(CommonConstants.adjust, save[9].x, save[9].y, 40, 40) + // this.AllModelObjArr.push([9, save[9].x, save[9].y]) + // this.temp[9]++ + } + rerender() { + this.updateDirtyElements(); + } +} diff --git a/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/Display.ts b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/Display.ts new file mode 100644 index 0000000..8d1ec3c --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/Display.ts @@ -0,0 +1,250 @@ +interface Display_Params { + TrainList?: any[]; + AllModelObjArr?: any[]; + ModelID?: number; + showArr?: string[]; + scrollerForList?: Scroller; + TrainSettingDialogController?: CustomDialogController; +} +import TrainSettingDialog from "@bundle:com.example.machinelearning/entry/ets/Components/TrainSettingDialog"; +export default class Display extends ViewPU { + constructor(parent, params, __localStorage, elmtId = -1, paramsLambda = undefined) { + super(parent, __localStorage, elmtId); + if (typeof paramsLambda === "function") { + this.paramsGenerator_ = paramsLambda; + } + this.__TrainList = new SynchedPropertyObjectTwoWayPU(params.TrainList, this, "TrainList"); + this.__AllModelObjArr = new SynchedPropertyObjectTwoWayPU(params.AllModelObjArr, this, "AllModelObjArr"); + this.__ModelID = new SynchedPropertySimpleTwoWayPU(params.ModelID, this, "ModelID"); + this.__showArr = new SynchedPropertyObjectTwoWayPU(params.showArr, this, "showArr"); + this.scrollerForList = new Scroller(); + this.TrainSettingDialogController = new CustomDialogController({ + builder: () => { + let paramsLambda = () => { + return { + TrainList: this.__TrainList + }; + }; + let jsDialog = new TrainSettingDialog(this, { TrainList: this.__TrainList }, undefined, -1, paramsLambda); + jsDialog.setController(this.TrainSettingDialogController); + ViewPU.create(jsDialog); + }, + gridCount: 4 + }, this); + this.setInitiallyProvidedValue(params); + } + setInitiallyProvidedValue(params: Display_Params) { + if (params.scrollerForList !== undefined) { + this.scrollerForList = params.scrollerForList; + } + if (params.TrainSettingDialogController !== undefined) { + this.TrainSettingDialogController = params.TrainSettingDialogController; + } + } + updateStateVars(params: Display_Params) { + } + purgeVariableDependenciesOnElmtId(rmElmtId) { + this.__TrainList.purgeDependencyOnElmtId(rmElmtId); + this.__AllModelObjArr.purgeDependencyOnElmtId(rmElmtId); + this.__ModelID.purgeDependencyOnElmtId(rmElmtId); + this.__showArr.purgeDependencyOnElmtId(rmElmtId); + } + aboutToBeDeleted() { + this.__TrainList.aboutToBeDeleted(); + this.__AllModelObjArr.aboutToBeDeleted(); + this.__ModelID.aboutToBeDeleted(); + this.__showArr.aboutToBeDeleted(); + SubscriberManager.Get().delete(this.id__()); + this.aboutToBeDeletedInternal(); + } + private __TrainList: SynchedPropertySimpleOneWayPU; + get TrainList() { + return this.__TrainList.get(); + } + set TrainList(newValue: any[]) { + this.__TrainList.set(newValue); + } + private __AllModelObjArr: SynchedPropertySimpleOneWayPU; + get AllModelObjArr() { + return this.__AllModelObjArr.get(); + } + set AllModelObjArr(newValue: any[]) { + this.__AllModelObjArr.set(newValue); + } + private __ModelID: SynchedPropertySimpleTwoWayPU; + get ModelID() { + return this.__ModelID.get(); + } + set ModelID(newValue: number) { + this.__ModelID.set(newValue); + } + private __showArr: SynchedPropertySimpleOneWayPU; + get showArr() { + return this.__showArr.get(); + } + set showArr(newValue: string[]) { + this.__showArr.set(newValue); + } + private scrollerForList: Scroller; + private TrainSettingDialogController: CustomDialogController; + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.width('100%'); + Column.height('100%'); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //功能按钮 + Row.create({ space: 5 }); + //功能按钮 + Row.margin({ top: 3, bottom: 3 }); + //功能按钮 + Row.justifyContent(FlexAlign.Start); + //功能按钮 + Row.width('100%'); + //功能按钮 + Row.height('15%'); + if (!isInitialRender) { + //功能按钮 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('训练参数设置'); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#00BBFF'); + Text.border({ width: 1 }); + Text.onClick(() => { + this.TrainSettingDialogController.open(); + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('训练'); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#00BBFF'); + Text.border({ width: 1 }); + Text.onClick(() => { + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('输出模型程序'); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#00BBFF'); + Text.border({ width: 1 }); + Text.onClick(() => { + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('测试'); + Text.fontSize(14); + Text.fontWeight(700); + Text.backgroundColor('#00BBFF'); + Text.border({ width: 1 }); + Text.onClick(() => { + }); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + //功能按钮 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Scroll.create(); + Scroll.borderWidth(1); + Scroll.width('100%'); + Scroll.height('83%'); + if (!isInitialRender) { + Scroll.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + List.create({ space: 2, scroller: this.scrollerForList }); + if (!isInitialRender) { + List.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + ForEach.create(); + const forEachItemGenFunction = (_item, index: number) => { + const item = _item; + { + const itemCreation = (elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + ListItem.create(deepRenderFunction, true); + ListItem.width("100%"); + ListItem.height(16); + if (!isInitialRender) { + ListItem.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }; + const deepRenderFunction = (elmtId, isInitialRender) => { + itemCreation(elmtId, isInitialRender); + this.updateFuncByElmtId.set(elmtId, itemCreation); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create(item); + Text.fontSize(14); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + ListItem.pop(); + }; + this.observeComponentCreation(itemCreation); + ListItem.pop(); + } + }; + this.forEachUpdateFunction(elmtId, this.showArr, forEachItemGenFunction, (item: string) => item, true, false); + if (!isInitialRender) { + ForEach.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + ForEach.pop(); + List.pop(); + Scroll.pop(); + Column.pop(); + } + rerender() { + this.updateDirtyElements(); + } +} diff --git a/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/ModelDialog.ts b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/ModelDialog.ts new file mode 100644 index 0000000..b3a11b9 --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/ModelDialog.ts @@ -0,0 +1,1019 @@ +interface ModelDialog_Params { + controller?: CustomDialogController; + Listinstance?: any[][]; + ModelID?: number; + DataArr?: any[]; + showArr?: string[]; + kernel_size_entry?: number; + stride_entry?: number; + pool_type_combobox?: string; + pool_size_entry?: number; + num_outputs_entry?: number; + nonlinear_mode_combobox?: string; + class_box_combobox?: number; + loss_type_combobox?: string; +} +export default class ModelDialog extends ViewPU { + constructor(parent, params, __localStorage, elmtId = -1, paramsLambda = undefined) { + super(parent, __localStorage, elmtId); + if (typeof paramsLambda === "function") { + this.paramsGenerator_ = paramsLambda; + } + this.controller = undefined; + this.__Listinstance = new SynchedPropertyObjectTwoWayPU(params.Listinstance, this, "Listinstance"); + this.__ModelID = new SynchedPropertySimpleTwoWayPU(params.ModelID, this, "ModelID"); + this.__DataArr = new SynchedPropertyObjectTwoWayPU(params.DataArr, this, "DataArr"); + this.__showArr = new SynchedPropertyObjectTwoWayPU(params.showArr, this, "showArr"); + this.kernel_size_entry = 0 //卷积核大小 + ; + this.stride_entry = 0 //卷积步长 + ; + this.__pool_type_combobox = new ObservedPropertySimplePU('max' //池化类型 + , this, "pool_type_combobox"); + this.pool_size_entry = 2 //输入池大小 + ; + this.num_outputs_entry = 0 //全连接维度 + ; + this.__nonlinear_mode_combobox = new ObservedPropertySimplePU('' //非连接 + , this, "nonlinear_mode_combobox"); + this.class_box_combobox = 0 //分类结果 + ; + this.__loss_type_combobox = new ObservedPropertySimplePU('' //误差类型 + , this, "loss_type_combobox"); + this.setInitiallyProvidedValue(params); + } + setInitiallyProvidedValue(params: ModelDialog_Params) { + if (params.controller !== undefined) { + this.controller = params.controller; + } + if (params.kernel_size_entry !== undefined) { + this.kernel_size_entry = params.kernel_size_entry; + } + if (params.stride_entry !== undefined) { + this.stride_entry = params.stride_entry; + } + if (params.pool_type_combobox !== undefined) { + this.pool_type_combobox = params.pool_type_combobox; + } + if (params.pool_size_entry !== undefined) { + this.pool_size_entry = params.pool_size_entry; + } + if (params.num_outputs_entry !== undefined) { + this.num_outputs_entry = params.num_outputs_entry; + } + if (params.nonlinear_mode_combobox !== undefined) { + this.nonlinear_mode_combobox = params.nonlinear_mode_combobox; + } + if (params.class_box_combobox !== undefined) { + this.class_box_combobox = params.class_box_combobox; + } + if (params.loss_type_combobox !== undefined) { + this.loss_type_combobox = params.loss_type_combobox; + } + } + updateStateVars(params: ModelDialog_Params) { + } + purgeVariableDependenciesOnElmtId(rmElmtId) { + this.__Listinstance.purgeDependencyOnElmtId(rmElmtId); + this.__ModelID.purgeDependencyOnElmtId(rmElmtId); + this.__DataArr.purgeDependencyOnElmtId(rmElmtId); + this.__showArr.purgeDependencyOnElmtId(rmElmtId); + this.__pool_type_combobox.purgeDependencyOnElmtId(rmElmtId); + this.__nonlinear_mode_combobox.purgeDependencyOnElmtId(rmElmtId); + this.__loss_type_combobox.purgeDependencyOnElmtId(rmElmtId); + } + aboutToBeDeleted() { + this.__Listinstance.aboutToBeDeleted(); + this.__ModelID.aboutToBeDeleted(); + this.__DataArr.aboutToBeDeleted(); + this.__showArr.aboutToBeDeleted(); + this.__pool_type_combobox.aboutToBeDeleted(); + this.__nonlinear_mode_combobox.aboutToBeDeleted(); + this.__loss_type_combobox.aboutToBeDeleted(); + SubscriberManager.Get().delete(this.id__()); + this.aboutToBeDeletedInternal(); + } + private controller: CustomDialogController; + setController(ctr: CustomDialogController) { + this.controller = ctr; + } + private __Listinstance: SynchedPropertySimpleOneWayPU; + get Listinstance() { + return this.__Listinstance.get(); + } + set Listinstance(newValue: any[][]) { + this.__Listinstance.set(newValue); + } + private __ModelID: SynchedPropertySimpleTwoWayPU; + get ModelID() { + return this.__ModelID.get(); + } + set ModelID(newValue: number) { + this.__ModelID.set(newValue); + } + private __DataArr: SynchedPropertySimpleOneWayPU; + get DataArr() { + return this.__DataArr.get(); + } + set DataArr(newValue: any[]) { + this.__DataArr.set(newValue); + } + private __showArr: SynchedPropertySimpleOneWayPU; + get showArr() { + return this.__showArr.get(); + } + set showArr(newValue: string[]) { + this.__showArr.set(newValue); + } + private kernel_size_entry: number; //卷积核大小 + private stride_entry: number; //卷积步长 + private __pool_type_combobox: ObservedPropertySimplePU; //池化类型 + get pool_type_combobox() { + return this.__pool_type_combobox.get(); + } + set pool_type_combobox(newValue: string) { + this.__pool_type_combobox.set(newValue); + } + private pool_size_entry: number; //输入池大小 + private num_outputs_entry: number; //全连接维度 + private __nonlinear_mode_combobox: ObservedPropertySimplePU; //非连接 + get nonlinear_mode_combobox() { + return this.__nonlinear_mode_combobox.get(); + } + set nonlinear_mode_combobox(newValue: string) { + this.__nonlinear_mode_combobox.set(newValue); + } + private class_box_combobox: number; //分类结果 + private __loss_type_combobox: ObservedPropertySimplePU; //误差类型 + get loss_type_combobox() { + return this.__loss_type_combobox.get(); + } + set loss_type_combobox(newValue: string) { + this.__loss_type_combobox.set(newValue); + } + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.justifyContent(FlexAlign.Center); + Column.width('100%'); + Column.height('100%'); + Column.backgroundColor('#dddddd'); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + If.create(); + if (this.ModelID == 1) { //卷积 + this.ifElseBranchUpdateFunction(0, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('卷积参数配置'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('卷积核大小：'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.create([{ value: '3*3' }, + { value: '5*5' }, + { value: '7*7' }]); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.onSelect((index: number, text?: string | undefined) => { + if (index == 0) { + this.kernel_size_entry = 3; + } + else if (index == 1) { + this.kernel_size_entry = 5; + } + else if (index == 2) { + this.kernel_size_entry = 7; + } + }); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.value(this.kernel_size_entry.toString()); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.space(2); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.width(200); + if (!isInitialRender) { + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + //下拉框 + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('卷积步长：'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.create([{ value: '1' }, + { value: '2' }]); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.onSelect((index: number, text?: string | undefined) => { + if (index == 0) { + this.stride_entry = 1; + } + else if (index == 1) { + this.stride_entry = 2; + } + }); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.value(this.stride_entry.toString()); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.space(2); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.width(200); + if (!isInitialRender) { + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.DataArr.push({ + 'objectId': 1, + 'kernel_size_entry': this.kernel_size_entry as number, + 'stride_entry': this.stride_entry as number + }); + // if(this.Listinstance[1][5]=='.'){ + // this.Listinstance[1][5]=this.kernel_size_entry.toString()+','+this.stride_entry.toString() + // }else{ + // this.Listinstance[1][5]=this.Listinstance[1][5]+' '+this.kernel_size_entry.toString()+','+this.stride_entry.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else if (this.ModelID == 2) { //池化 + this.ifElseBranchUpdateFunction(1, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('池化参数配置'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('池化层类型：'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //下拉框 + Select.create([{ value: 'max' }, + { value: 'avg' }]); + //下拉框 + Select.onSelect((index: number, text?: string | undefined) => { + if (text) { + this.pool_type_combobox = text; + } + }); + //下拉框 + Select.value(this.pool_type_combobox); + //下拉框 + Select.space(2); + //下拉框 + Select.width(200); + if (!isInitialRender) { + //下拉框 + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //下拉框 + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('池化池大小：'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + TextInput.create({ placeholder: '1' }); + TextInput.width(200); + TextInput.backgroundColor('#eeeeee'); + TextInput.onChange((value: string) => { + // this.pool_size_entry = value + }); + if (!isInitialRender) { + TextInput.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.fontSize(16); + Button.onClick(() => { + this.DataArr.push({ + 'objectId': 2, + 'pool_type_combobox': this.pool_type_combobox as string, + 'pool_size_entry': this.pool_size_entry as number + }); + // if(this.Listinstance[2][5]=='.'){ + // this.Listinstance[2][5]=this.pool_type_combobox.toString()+','+this.pool_size_entry.toString() + // }else{ + // this.Listinstance[2][5]=this.Listinstance[2][5]+' '+this.pool_type_combobox.toString()+','+this.pool_size_entry.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else if (this.ModelID == 3) { //全连接函数 + this.ifElseBranchUpdateFunction(2, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('全连接参数配置'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('全连接维度：'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.create([{ value: '5' }, + { value: '10' }, + { value: '20' }]); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.onSelect((index: number, text?: string | undefined) => { + if (index == 0) { + this.num_outputs_entry = 5; + } + else if (index == 1) { + this.num_outputs_entry = 10; + } + else if (index == 2) { + this.num_outputs_entry = 20; + } + }); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.value(this.num_outputs_entry.toString()); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.space(2); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.width(200); + if (!isInitialRender) { + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + //下拉框 + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.DataArr.push({ 'objectId': 3, 'num_outputs_entry': this.num_outputs_entry as number }); + // if(this.Listinstance[3][5]=='.'){ + // this.Listinstance[3][5]=this.num_outputs_entry.toString() + // }else{ + // this.Listinstance[3][5]=this.Listinstance[3][5]+' '+this.num_outputs_entry.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else if (this.ModelID == 4) { //非线性函数 + this.ifElseBranchUpdateFunction(3, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('非线性参数配置'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('非线性类型：'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Select.create([{ value: 'Sigmoid' }, + { value: 'ReLU' }, + { value: 'Tanh' }]); + Select.onSelect((index: number, text?: string | undefined) => { + if (text) { + this.nonlinear_mode_combobox = text; + } + }); + Select.value(this.nonlinear_mode_combobox); + Select.space(2); + Select.width(200); + if (!isInitialRender) { + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.height(40); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Column.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.DataArr.push({ 'objectId': 4, 'nonlinear_mode_combobox': this.nonlinear_mode_combobox }); + // if(this.Listinstance[4][5]=='.'){ + // this.Listinstance[4][5]=this.nonlinear_mode_combobox.toString() + // }else{ + // this.Listinstance[4][5]=this.Listinstance[4][5]+' '+this.nonlinear_mode_combobox.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else if (this.ModelID == 5) { //类别 + this.ifElseBranchUpdateFunction(4, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('分类参数配置'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('阈值：'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + TextInput.create({ placeholder: '0.001' }); + TextInput.width(200); + TextInput.borderRadius(0); + TextInput.backgroundColor('#eeeeee'); + TextInput.onChange((value: string) => { + // this.class_box_combobox = value + }); + if (!isInitialRender) { + TextInput.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.DataArr.push({ 'objectId': 5, 'class_box_combobox': this.class_box_combobox }); + // if(this.Listinstance[5][5]=='.'){ + // this.Listinstance[5][5]=this.class_box_combobox.toString() + // }else{ + // this.Listinstance[5][5]=this.Listinstance[5][5]+' '+this.class_box_combobox.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else if (this.ModelID == 6) { //误差 + this.ifElseBranchUpdateFunction(5, () => { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('误差参数配置'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Select.create([{ value: 'CEE' }, + { value: 'MSE' }, + { value: 'MAE' }]); + Select.onSelect((index: number, text?: string | undefined) => { + if (text) { + this.loss_type_combobox = text; + } + }); + Select.value(this.loss_type_combobox); + Select.space(2); + Select.width(200); + if (!isInitialRender) { + Select.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Select.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.height(80); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Column.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.DataArr.push({ 'objectId': 6, 'loss_type_combobox': this.loss_type_combobox }); + // if(this.Listinstance[6][5]=='.'){ + // this.Listinstance[6][5]=this.loss_type_combobox.toString() + // }else{ + // this.Listinstance[6][5]=this.Listinstance[6][5]+' '+this.loss_type_combobox.toString() + // } + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + }); + } + else { + this.ifElseBranchUpdateFunction(6, () => { + }); + } + if (!isInitialRender) { + If.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + If.pop(); + Column.pop(); + } + rerender() { + this.updateDirtyElements(); + } +} diff --git a/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/ToolBar.ts b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/ToolBar.ts new file mode 100644 index 0000000..4fb9fe4 --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/ToolBar.ts @@ -0,0 +1,709 @@ +interface ToolBar_Params { + ModelID?: number; + DataArr?: any[]; + Listinstance?: any[][]; + showArr?: string[]; + ModelDialogController?: CustomDialogController; +} +import ModelDialog from "@bundle:com.example.machinelearning/entry/ets/Components/ModelDialog"; +export default class ToolBar extends ViewPU { + constructor(parent, params, __localStorage, elmtId = -1, paramsLambda = undefined) { + super(parent, __localStorage, elmtId); + if (typeof paramsLambda === "function") { + this.paramsGenerator_ = paramsLambda; + } + this.__ModelID = new SynchedPropertySimpleTwoWayPU(params.ModelID, this, "ModelID"); + this.__DataArr = new SynchedPropertyObjectTwoWayPU(params.DataArr, this, "DataArr"); + this.__Listinstance = new SynchedPropertyObjectTwoWayPU(params.Listinstance, this, "Listinstance"); + this.__showArr = new SynchedPropertyObjectTwoWayPU(params.showArr, this, "showArr"); + this.ModelDialogController = new CustomDialogController({ + builder: () => { + let paramsLambda = () => { + return { + Listinstance: this.__Listinstance, + ModelID: this.__ModelID, + DataArr: this.__DataArr, + showArr: this.__showArr + }; + }; + let jsDialog = new ModelDialog(this, { Listinstance: this.__Listinstance, ModelID: this.__ModelID, DataArr: this.__DataArr, showArr: this.__showArr }, undefined, -1, paramsLambda); + jsDialog.setController(this.ModelDialogController); + ViewPU.create(jsDialog); + }, + gridCount: 4 + }, this); + this.setInitiallyProvidedValue(params); + } + setInitiallyProvidedValue(params: ToolBar_Params) { + if (params.ModelDialogController !== undefined) { + this.ModelDialogController = params.ModelDialogController; + } + } + updateStateVars(params: ToolBar_Params) { + } + purgeVariableDependenciesOnElmtId(rmElmtId) { + this.__ModelID.purgeDependencyOnElmtId(rmElmtId); + this.__DataArr.purgeDependencyOnElmtId(rmElmtId); + this.__Listinstance.purgeDependencyOnElmtId(rmElmtId); + this.__showArr.purgeDependencyOnElmtId(rmElmtId); + } + aboutToBeDeleted() { + this.__ModelID.aboutToBeDeleted(); + this.__DataArr.aboutToBeDeleted(); + this.__Listinstance.aboutToBeDeleted(); + this.__showArr.aboutToBeDeleted(); + SubscriberManager.Get().delete(this.id__()); + this.aboutToBeDeletedInternal(); + } + private __ModelID: SynchedPropertySimpleTwoWayPU; + get ModelID() { + return this.__ModelID.get(); + } + set ModelID(newValue: number) { + this.__ModelID.set(newValue); + } + private __DataArr: SynchedPropertySimpleOneWayPU; + get DataArr() { + return this.__DataArr.get(); + } + set DataArr(newValue: any[]) { + this.__DataArr.set(newValue); + } + private __Listinstance: SynchedPropertySimpleOneWayPU; + get Listinstance() { + return this.__Listinstance.get(); + } + set Listinstance(newValue: any[][]) { + this.__Listinstance.set(newValue); + } + private __showArr: SynchedPropertySimpleOneWayPU; + get showArr() { + return this.__showArr.get(); + } + set showArr(newValue: string[]) { + this.__showArr.set(newValue); + } + private ModelDialogController: CustomDialogController; + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.width('100%'); + Column.height('100%'); + Column.justifyContent(FlexAlign.Center); + Column.borderWidth(1); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //加载数据集和卷积 + Row.create(); + //加载数据集和卷积 + Row.width('100%'); + //加载数据集和卷积 + Row.height('16%'); + if (!isInitialRender) { + //加载数据集和卷积 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //加载数据集 + Row.create(); + //加载数据集 + Row.width('50%'); + if (!isInitialRender) { + //加载数据集 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('加载数据集'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/data.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 0 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 0; + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //加载数据集 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //卷积 + Row.create(); + //卷积 + Row.width('50%'); + if (!isInitialRender) { + //卷积 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('卷积'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/conv.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 1 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 1; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //卷积 + Row.pop(); + //加载数据集和卷积 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //池化和全连接函数 + Row.create(); + //池化和全连接函数 + Row.width('100%'); + //池化和全连接函数 + Row.height('16%'); + if (!isInitialRender) { + //池化和全连接函数 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //池化 + Row.create(); + //池化 + Row.width('50%'); + if (!isInitialRender) { + //池化 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('池化'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/pool.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 2 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 2; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //池化 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //全连接函数 + Row.create(); + //全连接函数 + Row.width('50%'); + if (!isInitialRender) { + //全连接函数 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('全连接函数'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/full_connect.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 3 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 3; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //全连接函数 + Row.pop(); + //池化和全连接函数 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //非线性函数和类别 + Row.create(); + //非线性函数和类别 + Row.width('100%'); + //非线性函数和类别 + Row.height('16%'); + if (!isInitialRender) { + //非线性函数和类别 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //非线性函数 + Row.create(); + //非线性函数 + Row.width('50%'); + if (!isInitialRender) { + //非线性函数 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('非线性函数'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/nonlinear.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 4 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 4; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //非线性函数 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //类别 + Row.create(); + //类别 + Row.width('50%'); + if (!isInitialRender) { + //类别 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('类别'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/classifier.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 5 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 5; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //类别 + Row.pop(); + //非线性函数和类别 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //误差和调整1 + Row.create(); + //误差和调整1 + Row.width('100%'); + //误差和调整1 + Row.height('16%'); + if (!isInitialRender) { + //误差和调整1 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //误差 + Row.create(); + //误差 + Row.width('50%'); + if (!isInitialRender) { + //误差 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('误差'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/error.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 6 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 6; + this.ModelDialogController.open(); + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //误差 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //调整1 + Row.create(); + //调整1 + Row.width('50%'); + if (!isInitialRender) { + //调整1 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('调整1'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/adjust.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 7 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 7; + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //调整1 + Row.pop(); + //误差和调整1 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //调整2和调整3 + Row.create(); + //调整2和调整3 + Row.width('100%'); + //调整2和调整3 + Row.height('16%'); + if (!isInitialRender) { + //调整2和调整3 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //调整2 + Row.create(); + //调整2 + Row.width('50%'); + if (!isInitialRender) { + //调整2 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('调整2'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/adjust.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 8 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 8; + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //调整2 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //调整3 + Row.create(); + //调整3 + Row.width('50%'); + if (!isInitialRender) { + //调整3 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('调整3'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/adjust.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + Image.border({ + color: this.ModelID == 9 ? Color.Red : Color.Transparent, + width: 1 + }); + Image.onClick(() => { + this.ModelID = 9; + }); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //调整3 + Row.pop(); + //调整2和调整3 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //主数据连接线和参数连接线 + Row.create(); + //主数据连接线和参数连接线 + Row.width('100%'); + //主数据连接线和参数连接线 + Row.height('16%'); + if (!isInitialRender) { + //主数据连接线和参数连接线 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //主数据连接线 + Row.create(); + //主数据连接线 + Row.width('50%'); + if (!isInitialRender) { + //主数据连接线 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('主数据连接线'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/arrow.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //主数据连接线 + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + //参数连接线 + Row.create(); + //参数连接线 + Row.width('50%'); + if (!isInitialRender) { + //参数连接线 + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('参数连接线'); + Text.width(50); + Text.fontSize(14); + Text.textAlign(TextAlign.Center); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('/common/pictures/arrow2.png'); + Image.objectFit(ImageFit.Contain); + Image.width(50); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + //参数连接线 + Row.pop(); + //主数据连接线和参数连接线 + Row.pop(); + Column.pop(); + } + rerender() { + this.updateDirtyElements(); + } +} diff --git a/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/TrainSettingDialog.ts b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/TrainSettingDialog.ts new file mode 100644 index 0000000..ca69691 --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/Components/TrainSettingDialog.ts @@ -0,0 +1,215 @@ +interface TrainSettingDialog_Params { + controller?: CustomDialogController; + TrainList?: any[]; + epoch_entry?: string; + batch_size_entry?: string; + rate_entry?: string; +} +export default class TrainSettingDialog extends ViewPU { + constructor(parent, params, __localStorage, elmtId = -1, paramsLambda = undefined) { + super(parent, __localStorage, elmtId); + if (typeof paramsLambda === "function") { + this.paramsGenerator_ = paramsLambda; + } + this.controller = undefined; + this.__TrainList = new SynchedPropertyObjectTwoWayPU(params.TrainList, this, "TrainList"); + this.epoch_entry = '' //训练轮数 + ; + this.batch_size_entry = '' //批次 + ; + this.rate_entry = '' //学习率 + ; + this.setInitiallyProvidedValue(params); + } + setInitiallyProvidedValue(params: TrainSettingDialog_Params) { + if (params.controller !== undefined) { + this.controller = params.controller; + } + if (params.epoch_entry !== undefined) { + this.epoch_entry = params.epoch_entry; + } + if (params.batch_size_entry !== undefined) { + this.batch_size_entry = params.batch_size_entry; + } + if (params.rate_entry !== undefined) { + this.rate_entry = params.rate_entry; + } + } + updateStateVars(params: TrainSettingDialog_Params) { + } + purgeVariableDependenciesOnElmtId(rmElmtId) { + this.__TrainList.purgeDependencyOnElmtId(rmElmtId); + } + aboutToBeDeleted() { + this.__TrainList.aboutToBeDeleted(); + SubscriberManager.Get().delete(this.id__()); + this.aboutToBeDeletedInternal(); + } + private controller: CustomDialogController; + setController(ctr: CustomDialogController) { + this.controller = ctr; + } + private __TrainList: SynchedPropertySimpleOneWayPU; + get TrainList() { + return this.__TrainList.get(); + } + set TrainList(newValue: any[]) { + this.__TrainList.set(newValue); + } + private epoch_entry: string; //训练轮数 + private batch_size_entry: string; //批次 + private rate_entry: string; //学习率 + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.justifyContent(FlexAlign.Center); + Column.width('100%'); + Column.height('100%'); + Column.backgroundColor('#dddddd'); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.width('100%'); + Row.height('10%'); + Row.padding({ left: '3%' }); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Image.create('../common/pictures/icon_logo.png'); + Image.objectFit(ImageFit.Contain); + Image.width(16); + if (!isInitialRender) { + Image.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('训练参数配置'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.width('100%'); + Column.height('90%'); + Column.justifyContent(FlexAlign.SpaceEvenly); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('训练轮数：'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + TextInput.create({ placeholder: '4' }); + TextInput.width(200); + TextInput.borderRadius(0); + TextInput.backgroundColor('#eeeeee'); + TextInput.onChange((value: string) => { + this.epoch_entry = value; + }); + if (!isInitialRender) { + TextInput.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('批次：'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + TextInput.create({ placeholder: '0.1' }); + TextInput.width(200); + TextInput.borderRadius(0); + TextInput.backgroundColor('#eeeeee'); + TextInput.onChange((value: string) => { + this.rate_entry = value; + }); + if (!isInitialRender) { + TextInput.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Text.create('学习率：'); + Text.fontSize(16); + if (!isInitialRender) { + Text.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Text.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + TextInput.create({ placeholder: '32' }); + TextInput.width(200); + TextInput.borderRadius(0); + TextInput.backgroundColor('#eeeeee'); + TextInput.onChange((value: string) => { + this.batch_size_entry = value; + }); + if (!isInitialRender) { + TextInput.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Button.createWithLabel('获取信息'); + Button.fontSize(16); + Button.height(40); + Button.onClick(() => { + this.TrainList.push({ + 'epoch_entry': this.epoch_entry, + 'rate_entry': this.rate_entry, + 'batch_size_entry': this.batch_size_entry + }); + this.controller.close(); + }); + if (!isInitialRender) { + Button.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + Button.pop(); + Column.pop(); + Column.pop(); + } + rerender() { + this.updateDirtyElements(); + } +} diff --git a/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/common/constants/CommonConstants.ts b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/common/constants/CommonConstants.ts new file mode 100644 index 0000000..0f8873d --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/common/constants/CommonConstants.ts @@ -0,0 +1,15 @@ +//绘图组件canvas的设置及上下文 +export const settings: RenderingContextSettings = new RenderingContextSettings(true); +export const context: CanvasRenderingContext2D = new CanvasRenderingContext2D(settings); +// 图片资源 +export const adjust: ImageBitmap = new ImageBitmap("common/pictures/adjust.png"); +export const arrow: ImageBitmap = new ImageBitmap("common/pictures/arrow.png"); +export const arrow1: ImageBitmap = new ImageBitmap("common/pictures/arrow1.png"); +export const arrow2: ImageBitmap = new ImageBitmap("common/pictures/arrow2.png"); +export const classifier: ImageBitmap = new ImageBitmap("common/pictures/classifier.png"); +export const conv: ImageBitmap = new ImageBitmap("common/pictures/conv.png"); +export const data: ImageBitmap = new ImageBitmap("common/pictures/data.png"); +export const error: ImageBitmap = new ImageBitmap("common/pictures/error.png"); +export const full_connect: ImageBitmap = new ImageBitmap("common/pictures/full_connect.png"); +export const nonlinear: ImageBitmap = new ImageBitmap("common/pictures/nonlinear.png"); +export const pool: ImageBitmap = new ImageBitmap("common/pictures/pool.png"); diff --git a/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/entryability/EntryAbility.ts b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/entryability/EntryAbility.ts new file mode 100644 index 0000000..4024edb --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/entryability/EntryAbility.ts @@ -0,0 +1,37 @@ +import type AbilityConstant from "@ohos:app.ability.AbilityConstant"; +import hilog from "@ohos:hilog"; +import UIAbility from "@ohos:app.ability.UIAbility"; +import type Want from "@ohos:app.ability.Want"; +import type window from "@ohos:window"; +export default class EntryAbility extends UIAbility { + onCreate(want: Want, launchParam: AbilityConstant.LaunchParam): void { + hilog.info(0x0000, 'testTag', '%{public}s', 'Ability onCreate'); + AppStorage.setOrCreate("SaveText", []); + } + onDestroy(): void { + hilog.info(0x0000, 'testTag', '%{public}s', 'Ability onDestroy'); + } + onWindowStageCreate(windowStage: window.WindowStage): void { + // Main window is created, set main page for this ability + hilog.info(0x0000, 'testTag', '%{public}s', 'Ability onWindowStageCreate'); + windowStage.loadContent('pages/Index', (err, data) => { + if (err.code) { + hilog.error(0x0000, 'testTag', 'Failed to load the content. Cause: %{public}s', JSON.stringify(err) ?? ''); + return; + } + hilog.info(0x0000, 'testTag', 'Succeeded in loading the content. Data: %{public}s', JSON.stringify(data) ?? ''); + }); + } + onWindowStageDestroy(): void { + // Main window is destroyed, release UI related resources + hilog.info(0x0000, 'testTag', '%{public}s', 'Ability onWindowStageDestroy'); + } + onForeground(): void { + // Ability has brought to foreground + hilog.info(0x0000, 'testTag', '%{public}s', 'Ability onForeground'); + } + onBackground(): void { + // Ability has back to background + hilog.info(0x0000, 'testTag', '%{public}s', 'Ability onBackground'); + } +} diff --git a/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/pages/Index.ts b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/pages/Index.ts new file mode 100644 index 0000000..b33862e --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/pages/Index.ts @@ -0,0 +1,261 @@ +interface Index_Params { + Listinstance?: any[][]; + ModelID?: number; + DataArr?: any[]; + TrainList?: any[]; + AllModelObjArr?: any[]; + showArr?: string[]; +} +import ToolBar from "@bundle:com.example.machinelearning/entry/ets/Components/ToolBar"; +import Display from "@bundle:com.example.machinelearning/entry/ets/Components/Display"; +import Content from "@bundle:com.example.machinelearning/entry/ets/Components/Content"; +import type common from "@ohos:app.ability.common"; +import Window from "@ohos:window"; +import type { BusinessError } from "@ohos:base"; +class Index extends ViewPU { + constructor(parent, params, __localStorage, elmtId = -1, paramsLambda = undefined) { + super(parent, __localStorage, elmtId); + if (typeof paramsLambda === "function") { + this.paramsGenerator_ = paramsLambda; + } + this.__Listinstance = new ObservedPropertyObjectPU([], this, "Listinstance"); + this.__ModelID = new ObservedPropertySimplePU(-1, this, "ModelID"); + this.__DataArr = new ObservedPropertyObjectPU([], this, "DataArr"); + this.__TrainList = new ObservedPropertyObjectPU([], this, "TrainList"); + this.__AllModelObjArr = new ObservedPropertyObjectPU([], this, "AllModelObjArr"); + this.__showArr = new ObservedPropertyObjectPU([], this, "showArr"); + this.setInitiallyProvidedValue(params); + } + setInitiallyProvidedValue(params: Index_Params) { + if (params.Listinstance !== undefined) { + this.Listinstance = params.Listinstance; + } + if (params.ModelID !== undefined) { + this.ModelID = params.ModelID; + } + if (params.DataArr !== undefined) { + this.DataArr = params.DataArr; + } + if (params.TrainList !== undefined) { + this.TrainList = params.TrainList; + } + if (params.AllModelObjArr !== undefined) { + this.AllModelObjArr = params.AllModelObjArr; + } + if (params.showArr !== undefined) { + this.showArr = params.showArr; + } + } + updateStateVars(params: Index_Params) { + } + purgeVariableDependenciesOnElmtId(rmElmtId) { + this.__Listinstance.purgeDependencyOnElmtId(rmElmtId); + this.__ModelID.purgeDependencyOnElmtId(rmElmtId); + this.__DataArr.purgeDependencyOnElmtId(rmElmtId); + this.__TrainList.purgeDependencyOnElmtId(rmElmtId); + this.__AllModelObjArr.purgeDependencyOnElmtId(rmElmtId); + this.__showArr.purgeDependencyOnElmtId(rmElmtId); + } + aboutToBeDeleted() { + this.__Listinstance.aboutToBeDeleted(); + this.__ModelID.aboutToBeDeleted(); + this.__DataArr.aboutToBeDeleted(); + this.__TrainList.aboutToBeDeleted(); + this.__AllModelObjArr.aboutToBeDeleted(); + this.__showArr.aboutToBeDeleted(); + SubscriberManager.Get().delete(this.id__()); + this.aboutToBeDeletedInternal(); + } + // 设置开发板横屏显示 + private changeOrientation() { + let windowClass: Window.Window | undefined = undefined; + // 获取上下文，使用common模块 + let context = getContext(this) as common.UIAbilityContext; + let promise = Window.getLastWindow(context); + promise.then((data) => { + windowClass = data; + //切换成横屏 + let orientation = Window.Orientation.LANDSCAPE; + windowClass.setPreferredOrientation(orientation, (err: BusinessError) => { + }); + console.info('Succeeded in obtaining the top window. Data: ' + JSON.stringify(data)); + }).catch((err: BusinessError) => { + console.error('Failed to obtain the top window. Cause: ' + JSON.stringify(err)); + }); + } + private __Listinstance: ObservedPropertyObjectPU; + get Listinstance() { + return this.__Listinstance.get(); + } + set Listinstance(newValue: any[][]) { + this.__Listinstance.set(newValue); + } + private __ModelID: ObservedPropertySimplePU; + get ModelID() { + return this.__ModelID.get(); + } + set ModelID(newValue: number) { + this.__ModelID.set(newValue); + } + private __DataArr: ObservedPropertyObjectPU; + get DataArr() { + return this.__DataArr.get(); + } + set DataArr(newValue: any[]) { + this.__DataArr.set(newValue); + } + private __TrainList: ObservedPropertyObjectPU; + get TrainList() { + return this.__TrainList.get(); + } + set TrainList(newValue: any[]) { + this.__TrainList.set(newValue); + } + private __AllModelObjArr: ObservedPropertyObjectPU; + get AllModelObjArr() { + return this.__AllModelObjArr.get(); + } + set AllModelObjArr(newValue: any[]) { + this.__AllModelObjArr.set(newValue); + } + private __showArr: ObservedPropertyObjectPU; + get showArr() { + return this.__showArr.get(); + } + set showArr(newValue: string[]) { + this.__showArr.set(newValue); + } + aboutToAppear() { + this.changeOrientation(); + } + initialRender() { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Column.create(); + Column.padding(5); + Column.width('100%'); + Column.height('100%'); + if (!isInitialRender) { + Column.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + Row.create(); + Row.width('100%'); + Row.height('65%'); + if (!isInitialRender) { + Row.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + __Common__.create(); + __Common__.width('27%'); + __Common__.height('100%'); + if (!isInitialRender) { + __Common__.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + if (isInitialRender) { + let paramsLambda = () => { + return { + Listinstance: this.Listinstance, + ModelID: this.ModelID, + DataArr: this.DataArr, + showArr: this.showArr + }; + }; + ViewPU.create(new + //功能栏 + ToolBar(this, { Listinstance: this.__Listinstance, ModelID: this.__ModelID, DataArr: this.__DataArr, showArr: this.__showArr }, undefined, elmtId, paramsLambda)); + } + else { + this.updateStateVarsOfChildByElmtId(elmtId, {}); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + } + __Common__.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + __Common__.create(); + __Common__.width('73%'); + __Common__.height('100%'); + if (!isInitialRender) { + __Common__.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + if (isInitialRender) { + let paramsLambda = () => { + return { + ModelID: this.ModelID, + DataArr: this.DataArr, + AllModelObjArr: this.AllModelObjArr, + showArr: this.showArr + }; + }; + ViewPU.create(new + //内容区 + Content(this, { ModelID: this.__ModelID, DataArr: this.__DataArr, AllModelObjArr: this.__AllModelObjArr, showArr: this.__showArr }, undefined, elmtId, paramsLambda)); + } + else { + this.updateStateVarsOfChildByElmtId(elmtId, {}); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + } + __Common__.pop(); + Row.pop(); + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + __Common__.create(); + __Common__.width('100%'); + __Common__.height('35%'); + if (!isInitialRender) { + __Common__.pop(); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + { + this.observeComponentCreation((elmtId, isInitialRender) => { + ViewStackProcessor.StartGetAccessRecordingFor(elmtId); + if (isInitialRender) { + let paramsLambda = () => { + return { + TrainList: this.TrainList, + AllModelObjArr: this.AllModelObjArr, + ModelID: this.ModelID, + showArr: this.showArr + }; + }; + ViewPU.create(new + //展示区 + Display(this, { TrainList: this.__TrainList, AllModelObjArr: this.__AllModelObjArr, ModelID: this.__ModelID, showArr: this.__showArr }, undefined, elmtId, paramsLambda)); + } + else { + this.updateStateVarsOfChildByElmtId(elmtId, {}); + } + ViewStackProcessor.StopGetAccessRecording(); + }); + } + __Common__.pop(); + Column.pop(); + } + rerender() { + this.updateDirtyElements(); + } +} +ViewStackProcessor.StartGetAccessRecordingFor(ViewStackProcessor.AllocateNewElmetIdForNextComponent()); +loadDocument(new Index(undefined, {})); +ViewStackProcessor.StopGetAccessRecording(); diff --git a/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/filesInfo.txt b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/filesInfo.txt new file mode 100644 index 0000000..dd05e55 --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/filesInfo.txt @@ -0,0 +1,8 @@ +D:/computer_programing/code/openharmony_north_program/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/entryability/EntryAbility.ts;com.example.machinelearning/entry/ets/entryability/EntryAbility;esm;entry/src/main/ets/entryability/EntryAbility.ets;entry 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+D:/computer_programing/code/openharmony_north_program/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/entry/src/main/ets/common/constants/CommonConstants.ts;com.example.machinelearning/entry/ets/common/constants/CommonConstants;esm;entry/src/main/ets/common/constants/CommonConstants.ets;entry diff --git a/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/modules.cache b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/modules.cache new file mode 100644 index 0000000..e3a05b0 --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/cache/default/default@CompileArkTS/esmodule/debug/modules.cache @@ -0,0 +1,9 @@ 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end of file diff --git a/machinelearning/machine_learning/entry/build/default/generated/r/default/ResourceTable.h b/machinelearning/machine_learning/entry/build/default/generated/r/default/ResourceTable.h new file mode 100644 index 0000000..92a1287 --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/generated/r/default/ResourceTable.h @@ -0,0 +1,44 @@ +/* + * Copyright (c) 2023 Huawei Device Co., Ltd. + * Licensed 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. + */ + +#ifndef RESOURCE_TABLE_H +#define RESOURCE_TABLE_H + +#include + +namespace OHOS { +const int32_t STRING_ENTRYABILITY_DESC = 0x01000002; +const int32_t STRING_ENTRYABILITY_LABEL = 0x01000003; +const int32_t STRING_APP_NAME = 0x01000000; +const int32_t STRING_MODULE_DESC = 0x01000004; +const int32_t COLOR_START_WINDOW_BACKGROUND = 0x01000005; +const int32_t MEDIA_ADJUST = 0x01000006; +const int32_t MEDIA_APP_ICON = 0x01000001; +const int32_t MEDIA_ARROW = 0x01000007; +const int32_t MEDIA_ARROW1 = 0x01000008; +const int32_t MEDIA_ARROW2 = 0x01000009; +const int32_t MEDIA_CLASSIFIER = 0x0100000a; +const int32_t MEDIA_CONV = 0x0100000b; +const int32_t MEDIA_DATA = 0x0100000c; +const int32_t MEDIA_ERROR = 0x0100000d; +const int32_t MEDIA_FULL_CONNECT = 0x0100000e; +const int32_t MEDIA_ICON = 0x0100000f; +const int32_t MEDIA_ICON_LOGO = 0x01000010; +const int32_t MEDIA_NONLINEAR = 0x01000011; +const int32_t MEDIA_POOL = 0x01000012; +const int32_t MEDIA_STARTICON = 0x01000013; +const int32_t PROFILE_MAIN_PAGES = 0x01000014; +} +#endif \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/build/default/intermediates/hap_metadata/default/output_metadata.json b/machinelearning/machine_learning/entry/build/default/intermediates/hap_metadata/default/output_metadata.json new file mode 100644 index 0000000..b967b68 --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/intermediates/hap_metadata/default/output_metadata.json @@ -0,0 +1 @@ +[{"hapName":"entry-default-signed.hap","deviceTypes":["default","tablet"],"isSigned":true}] diff --git a/machinelearning/machine_learning/entry/build/default/intermediates/hotReload/changedFileList.json b/machinelearning/machine_learning/entry/build/default/intermediates/hotReload/changedFileList.json new file mode 100644 index 0000000..b98618e --- /dev/null +++ b/machinelearning/machine_learning/entry/build/default/intermediates/hotReload/changedFileList.json @@ -0,0 +1 @@ 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CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText('数据集', 20 + 5, 90 + 50) + this.AllModelObjArr.push([0, 150, 150]) + this.temp[0]++ + CommonConstants.context.drawImage(CommonConstants.conv, 90, 90, 40, 40) + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText('3*3' + '卷积', 90 + 5, 90 + 50) + this.AllModelObjArr.push([1, 90, 90]) + this.temp[1]++ + this.drawArrow(20, 90, 90, 90) + CommonConstants.context.drawImage(CommonConstants.full_connect, 160, 90, 40, 40) + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText('5--全连接', 160 + 2, 90 + 50) + this.AllModelObjArr.push([3, 160, 90]) + this.temp[3]++ + this.drawArrow(90, 90, 160, 90) + CommonConstants.context.drawImage(CommonConstants.nonlinear, 230, 90, 40, 40) + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText('Sigmoid处理', 230 + 3, 90 + 50) + this.AllModelObjArr.push([4, 230, 90]) + this.temp[4]++ + this.drawArrow(160, 90, 230, 90) + // DrawImage({ image: this.classifier, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.classifier, 300, 90, 40, 40) + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText('输出分类结果', 300 - 5, 90 + 50) + this.AllModelObjArr.push([5, 300, 90]) + this.temp[5]++ + this.drawArrow(230, 90, 300, 90) + // DrawImage({ image: this.error, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.error, 370, 90, 40, 40) + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText('误差计算', 370, 90 + 50) + this.AllModelObjArr.push([6, 370, 90]) + this.temp[6]++ + this.drawArrow(300, 90, 370, 90) + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.adjust, 440, 90, 40, 40) + this.AllModelObjArr.push([7, 440, 90]) + this.temp[7]++ + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.adjust, 440, 90, 40, 40) + this.AllModelObjArr.push([8, 440, 90]) + this.drawArrow(370, 90, 440, 90) + this.temp[8]++ + + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.adjust, 510, 90, 40, 40) + this.AllModelObjArr.push([9, 510, 0]) + this.drawArrow(440, 90, 510, 90) + this.temp[9]++ + + console.log(AppStorage.get('SaveText')) + this.showArr.push('数据集已加载') + this.showArr.push('tensor([[[[-0.0134, -0.1962, 1.0880, -0.0022, 0.1482, 0.0725, 0.0937,1.0789],[ 0.0033, 0.4381, 0.3818, -0.4521, 0.6097, -0.2371, 0.9600,1.2070],[-0.1606, 0.5197, -0.1671, 0.8567, -0.3522, -0.7583, 0.4042,0.5243],[ 1.1485, -1.1297, 0.7452, 0.7836, -0.0784, -0.1691, 0.6973,-0.3798],\n[ 1.2588, -0.7680, 0.0982, -0.8352, -0.5174, 0.2096, -0.1403,0.3098],[ 0.1852, -0.4641, -0.1673, 0.0630, 0.3776, -0.1029, -0.6249,0.9654],\n[ 0.3690, -0.1096, 0.6028, 0.1366, 0.4057, 0.5722, 0.0064,0.5854],[ 0.4958, 0.1987, 0.0410, -0.3032, 0.3825, -0.0614, 0.3641,0.5822]]]])') + this.showArr.push('tensor([[ 0.8430, 0.4639, 0.4960, 0.2869, -0.1519]])') + this.showArr.push('tensor([[0.1820, 0.1939, 0.1981, 0.1502, 0.2757]])') + }) + + Text('新建模型') + .fontSize(14) + .fontWeight(700) + .backgroundColor('#77ff00') + .border({ width: 1 }) + .onClick(() => { + // restart_new_model() + router.replaceUrl({ + url: 'pages/Index' + }) + AppStorage.set('LogText', '') + }) + + Text('图元参数设置') + .fontSize(14) + .fontWeight(700) + .backgroundColor('#77ff00') + .border({ width: 1 }) + .onClick(() => { + + }) + + + Text('保存模型') + .fontSize(14) + .fontWeight(700) + .backgroundColor('#77ff00') + .border({ width: 1 }) + .onClick(() => { + if (this.temp[7] >= 1) { + this.save_images() + promptAction.showToast({ + message: '保存成功', + duration: 2000 + }) + } else { + promptAction.showToast({ + message: '模型连接错误', + duration: 2000 + }) + } + }) + + Text('模型正确性检查') + .fontSize(14) + .fontWeight(700) + .backgroundColor('#77ff00') + .border({ width: 1 }) + .onClick(() => { + promptAction.showToast({ + message: this.temp[7] >= 1 ? '连接正确' : '连接错误', + duration: 2000 + }) + }) + + Text('退出') + .fontSize(14) + .fontWeight(700) + .backgroundColor('#ff3333') + .border({ width: 1 }) + .onClick(() => { + router.back() + }) + } + .justifyContent(FlexAlign.SpaceBetween) + .width('100%') + .height('10%') + + Row() { + Canvas(CommonConstants.context) { + + } + .onClick((event: ClickEvent) => { + if (this.ModelID == 0 && this.temp[0] == 0) { + // DrawImage({ image: this.data, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.data, event.x, event.y, 40, 40) + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText('数据集', event.x + 5, event.y + 50) + console.log('event.x=' + event.x + ' event.y=' + event.y) + this.AllModelObjArr.push([0, event.x, event.y]) + this.temp[0]++ + this.showArr.push('数据集已加载') + // this.save.push(new Point(event.x, event.y, this.ModelID, '数据集')) + } else if (this.ModelID == 1) { //卷积 + let len = this.DataArr.length + console.log("hellohello" + this.DataArr[len-1]['kernel_size_entry'] + "ininin" + this.DataArr[len-1]['stride_entry']); + if (this.temp[0] && this.DataArr[len-1]['kernel_size_entry'] && this.DataArr[len-1]['stride_entry']) { + // DrawImage({ image: this.conv, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.conv, event.x, event.y, 40, 40) + this.kernel_size_entry = this.DataArr[len-1]['kernel_size_entry'] + this.stride_entry = this.DataArr[len-1]['stride_entry'] + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText(this.kernel_size_entry + '*' + this.kernel_size_entry + '卷积', event.x + 5, event.y + 50) + this.AllModelObjArr.push([1, event.x, event.y]) + this.temp[1]++ + // this.save.push(new Point(event.x, event.y, this.ModelID, (this.kernel_size_entry + '*' + this.kernel_size_entry + '卷积'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1) { + this.showArr.push('tensor([[[[-0.0134, -0.1962, 1.0880, -0.0022, 0.1482, 0.0725, 0.0937,1.0789],[ 0.0033, 0.4381, 0.3818, -0.4521, 0.6097, -0.2371, 0.9600,1.2070],[-0.1606, 0.5197, -0.1671, 0.8567, -0.3522, -0.7583, 0.4042,0.5243],[ 1.1485, -1.1297, 0.7452, 0.7836, -0.0784, -0.1691, 0.6973,-0.3798],\n[ 1.2588, -0.7680, 0.0982, -0.8352, -0.5174, 0.2096, -0.1403,0.3098],[ 0.1852, -0.4641, -0.1673, 0.0630, 0.3776, -0.1029, -0.6249,0.9654],\n[ 0.3690, -0.1096, 0.6028, 0.1366, 0.4057, 0.5722, 0.0064,0.5854],[ 0.4958, 0.1987, 0.0410, -0.3032, 0.3825, -0.0614, 0.3641,0.5822]]]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1) { + this.showArr.push('tensor([[[[-0.4874, 0.7384, -1.6970, 0.2020, 0.1609, 0.3237],[-0.9838, 0.9160, 0.0670, 0.5332, -0.9977, -0.8638],[ 0.6242, 0.9128, 0.1488, -0.3978, -0.9426, -0.6181],[ 0.1971, -0.7169, 0.5764, -0.2893, 0.2324, 0.6313],\n[-0.1713, -0.3927, 0.4514, 0.6206, -0.6940, 0.2667],[ 0.2802, -0.2659, 0.8624, -0.4083, 0.0460, -0.0076]]]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1) { + this.showArr.push('tensor([[[[ 0.2200, 0.1786, -0.4796, 0.0179],[ 0.8451, 0.5322, -0.7935, 0.0219],[-0.0062, 0.3043, 0.3664, 0.4143],[-0.0788, -0.3161, 0.7487, -0.1581]]]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2) { + this.showArr.push('tensor([[[[-0.9337, 0.0745, -0.0844, -0.9482],[-0.8150, -0.2888, -0.0274, -0.5448],[-0.0586, 0.0494, -0.7577, -0.1680],[ 0.0058, -0.4213, -0.5265, 0.2654]]]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2) { + this.showArr.push('tensor([[[[ 0.7389, 0.9307, 0.0525],[ 0.1518, -0.3735, -0.5886],[ 0.8594, -0.6091, 0.5225]]]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2) { + this.showArr.push('tensor([[[[ 1.0233, 0.0583],[ 0.4498, -0.6545]]]])') + } + } + } else if (this.ModelID == 2) { //池化 + let len = this.DataArr.length + if (this.temp[1] && this.DataArr[len-1]['pool_type_combobox'] && this.temp[2] == 0) { + // DrawImage({ image: this.pool, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.pool, event.x, event.y, 40, 40) + let len = this.DataArr.length + this.pool_type_combobox = this.DataArr[len-1]['pool_type_combobox'] + this.pool_size_entry = this.DataArr[len-1]['pool_size_entry'] + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText(this.pool_size_entry + '*' + this.pool_size_entry + this.pool_type_combobox + '池化', event.x, event.y + 50) + this.AllModelObjArr.push([2, event.x, event.y]) + this.temp[2]++ + // this.save.push(new Point(event.x, event.y, this.ModelID, (this.pool_size_entry + '*' + this.pool_size_entry + this.pool_type_combobox + '池化'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.3709, 0.9153, 0.2770, 0.7611],[1.1211, 0.7780, 1.1351, 0.5696],[0.7411, 0.5163, 0.5767, 0.9177],[0.2249, 1.1004, 0.9144, 0.0487]]]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.2726, 0.2360, 0.3854],[1.0497, 0.8585, 0.4598],[0.5655, 0.4090, 1.0777]]]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.9764, 1.0485],[1.7456, 0.7602]]]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.5768, 0.2833],[0.6682, 0.5038]]]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[0.1050]]]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max') { + this.showArr.push('tensor([[[[1.0111]]]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[ 0.2561, -0.0163, 0.1170, -0.1636],[ 0.1961, 0.0845, 0.3065, 0.1961],[ 0.1303, 0.2925, 0.3443, 0.2922],[ 0.0602, 0.0409, 0.4259, 0.0721]]]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[-0.0662, -0.1149, -0.3240],[ 0.2467, 0.3095, 0.2449],[ 0.0851, 0.4907, 0.1141]]]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[-0.1290, -0.2480],[ 0.1484, -0.0324]]]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[ 0.0709, 0.0183],[ 0.4691, -0.3462]]]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[0.1186]]]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg') { + this.showArr.push('tensor([[[[0.1667]]]])') + } + } + } else if (this.ModelID == 3) { //全连接 + let len = this.DataArr.length + if (this.temp[2] && this.DataArr[len-1]['num_outputs_entry'] && this.temp[3] == 0) { + // DrawImage({ image: this.full_connect, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.full_connect, event.x, event.y, 40, 40) + let len = this.DataArr.length + this.num_outputs_entry = this.DataArr[len-1]['num_outputs_entry'] + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText(this.num_outputs_entry + '--全连接', event.x + 2, event.y + 50) + this.AllModelObjArr.push([3, event.x, event.y]) + this.temp[3]++ + // this.save.push(new Point(event.x, event.y, this.ModelID, (this.num_outputs_entry + '--全连接'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.8430, 0.4639, 0.4960, 0.2869, -0.1519]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.1748, 0.2053, -0.4904, 0.0787, -0.3058]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.2453, 0.7561, 0.1178, -0.2876, -0.2929]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.3083, -0.1718, -0.0930, 0.4225, -0.2758]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.7466, -0.7196, -1.4761, 1.5438, -1.4053]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 1.2008, 0.0185, -0.2925, -0.8986, 0.6176]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.0281, 0.0526, 0.1051, 0.2233, -0.1085]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.0175, 0.2273, 0.1076, -0.3133, -0.0441]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.2400, -0.2518, -0.0471, 0.2277, 0.1734]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[ 0.6036, -0.0845, 0.3232, 0.3640, 0.0129]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.5800, -0.4243, 0.9183, -0.9735, 0.4720]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[-0.7089, -0.1477, 0.4270, 0.6791, -0.3590]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.4249, -0.2973, 0.0038, -0.0580, 0.0632, -0.0339, 0.1261, 0.1313, -0.1238, 0.0665]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.0504, 0.1315, -0.6201, 0.0473, 0.4805, -0.0796, 0.2596, -0.3193, -0.3940, -0.2020]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.4090, 0.4147, 0.6487, -0.3629, -0.3484, -0.1875, -0.3686, -0.5886, -0.7075, 0.1032]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.3897, 0.4267, 0.5004, -0.6866, -1.0243, -0.1148, 0.7304, 0.4679, -0.7236, 0.7823]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.6382, -0.3088, -0.3561, 0.0828, 0.0518, 0.1949, -0.5738, -0.2345, 0.2991, -0.9273]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.5727, -0.1920, -0.5151, -1.0427, -0.4574, -0.6762, 0.5131, -0.1120, 0.0391, 0.2446]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.1564, 0.3556, -0.1351, 0.1361, 0.2033, 0.0809, 0.1767, 0.1210, 0.3280, -0.2914]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.2261, 0.0060, -0.0676, 0.0333, -0.0897, 0.2548, -0.0256, 0.1189, 0.0922, -0.3367]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.4802, 0.2031, -0.5436, 0.1421, -0.1331, -0.3931, -0.3846, 0.5004, -0.0435, 0.0126]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[-0.0979, -0.1645, 0.2052, -0.6433, -0.2871, 0.1662, -0.1271, 0.4818, -0.4955, 0.1770]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.5348, 0.0758, -0.9927, 0.3091, -0.5952, 0.8165, 0.1283, 0.6039, -0.4501, -0.4889]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[ 0.1460, -1.1606, 0.6688, 0.0959, -0.8042, 0.6037, -1.1703, 0.6725, -0.3544, -1.3215]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.1608, -0.2595, 0.2194, -0.7454, 0.4069, 0.0870, -0.0299, -0.5744, 1.3357, 0.4431]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 1.8365e-01, -1.6593e-01, 3.6458e-02, -2.0534e-05, -4.9897e-02, -3.7728e-01, 7.3147e-02, 1.9757e-01, 2.7765e-01, 2.0895e-01]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.5150, -0.4136, -0.1379, 0.5046, -0.4168, 0.4718, 0.3578, -0.0597, 0.2906, 0.4614]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.9533, -0.8007, 0.4054, 0.0565, 0.4350, 0.3419, -0.5479, -0.0126, -0.0937, 0.0899]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.7360, -0.4937, 0.0372, -0.7249, -0.6149, -0.0489, -0.6061, -0.4459, -0.0656, 1.3277]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.3827, 0.6127, 1.2174, -0.7355, -0.1307, 0.9750, 0.9632, -0.0470, 0.7470, -0.1429]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[-0.1990, -0.1022, 0.2421, 0.0140, -0.3644, 0.2187, 0.0227, 0.1435, 0.0863, 0.1278]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.3643, 0.1440, 0.1252, 0.1224, 0.6934, -0.2651, 0.2311, -0.3368, 0.5647, -0.0990]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[-0.2740, 0.1192, 0.4515, -0.1104, -0.5225, 0.2964, 0.1486, 0.4409, -0.1470, 0.3240]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 0.5326, 0.1677, -0.4638, -0.2603, 0.4328, -0.0448, -0.5383, -0.3798, -0.4663, 0.4492]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[-0.2946, 0.5148, 0.1413, -0.0439, 0.1985, -0.1225, 0.6737, 0.6060, 0.9344, 0.5184]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[ 1.0891, -0.3327, -0.3149, -0.7376, -0.2826, 0.3113, 0.6477, 1.1800, -0.4299, 0.8045]])') + } + } + } else if (this.ModelID == 4) { //非线性 + let len = this.DataArr.length + if (this.temp[3] && this.DataArr[len-1]['nonlinear_mode_combobox'] && this.temp[4] == 0) { + // DrawImage({ image: this.nonlinear, x: event.x, y: event.y }) + CommonConstants.context.drawImage(CommonConstants.nonlinear, event.x, event.y, 40, 40) + let len = this.DataArr.length + let nonlinear_mode_combobox = this.DataArr[len-1]['nonlinear_mode_combobox'] + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText(nonlinear_mode_combobox + '处理', event.x + 3, event.y + 50) + this.AllModelObjArr.push([4, event.x, event.y]) + this.temp[4]++ + // this.save.push(new Point(event.x, event.y, this.ModelID, (nonlinear_mode_combobox + '处理'))) + if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1820, 0.1939, 0.1981, 0.1502, 0.2757]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1258, 0.1570, 0.2210, 0.1684, 0.3278]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1249, 0.1165, 0.2768, 0.2812, 0.2006]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.2781, 0.2767, 0.1147, 0.1300, 0.2005]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1895, 0.1720, 0.1251, 0.1031, 0.4103]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.3001, 0.2823, 0.0746, 0.0872, 0.2558]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.2179, 0.2400, 0.1714, 0.2205, 0.1501]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1959, 0.2301, 0.2041, 0.2248, 0.1451]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1844, 0.1335, 0.2246, 0.3329, 0.1246]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.1932, 0.1510, 0.2321, 0.2005, 0.2232]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.2440, 0.2698, 0.1494, 0.1523, 0.1845]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 5) { + this.showArr.push('tensor([[0.0921, 0.1517, 0.0645, 0.3738, 0.3179]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0761, 0.0974, 0.0580, 0.1528, 0.1038, 0.0616, 0.1149, 0.1414, 0.1175, 0.0766]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1155, 0.0946, 0.1033, 0.0874, 0.1298, 0.0849, 0.0945, 0.0932, 0.1486, 0.0481]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1109, 0.0664, 0.0553, 0.0816, 0.1277, 0.1609, 0.1037, 0.0452, 0.2198, 0.0285]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0386, 0.0660, 0.1189, 0.0654, 0.0727, 0.0702, 0.2543, 0.1070, 0.1166, 0.0904]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0488, 0.0725, 0.0331, 0.1236, 0.0803, 0.0415, 0.0857, 0.3223, 0.0969, 0.0953]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0770, 0.1089, 0.1543, 0.0878, 0.1608, 0.0656, 0.0637, 0.0388, 0.0764, 0.1667]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0912, 0.0781, 0.0910, 0.1178, 0.1213, 0.0741, 0.0863, 0.1116, 0.1169, 0.1117]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1050, 0.0836, 0.0889, 0.1105, 0.0894, 0.1247, 0.1099, 0.1015, 0.0752, 0.1113]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0947, 0.0838, 0.1011, 0.1497, 0.0710, 0.0692, 0.1320, 0.0733, 0.1074, 0.1177]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.1408, 0.0694, 0.0935, 0.0942, 0.1106, 0.1530, 0.1006, 0.1035, 0.0636, 0.0707]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.0919, 0.0387, 0.1084, 0.0917, 0.1098, 0.1079, 0.0735, 0.0875, 0.1159, 0.1747]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 10) { + this.showArr.push('tensor([[0.2100, 0.2868, 0.0336, 0.0460, 0.0778, 0.0496, 0.0360, 0.0700, 0.1701, 0.0200]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0575, 0.0413, 0.0516, 0.0569, 0.0322, 0.0497, 0.0526, 0.0856, 0.0532, 0.0353, 0.0504, 0.0444, 0.0489, 0.0323, 0.0509, 0.0561, 0.0409, 0.0561, 0.0506, 0.0533]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0422, 0.0312, 0.0158, 0.0724, 0.0196, 0.0671, 0.0280, 0.0280, 0.0949, 0.0226, 0.0719, 0.0709, 0.0571, 0.0379, 0.0201, 0.0322, 0.0685, 0.0560, 0.1117, 0.0517]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0738, 0.0679, 0.0419, 0.0526, 0.0677, 0.0310, 0.0464, 0.0286, 0.0982, 0.0724, 0.0684, 0.0536, 0.0243, 0.0509, 0.0312, 0.0297, 0.0224, 0.0577, 0.0402, 0.0412]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0538, 0.0452, 0.0619, 0.0306, 0.0340, 0.0474, 0.0682, 0.0293, 0.0474, 0.0487, 0.0308, 0.0505, 0.0302, 0.0884, 0.0931, 0.0359, 0.1052, 0.0298, 0.0437, 0.0260]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0987, 0.0490, 0.0834, 0.0584, 0.0347, 0.0578, 0.0251, 0.0299, 0.0894, 0.0366, 0.0267, 0.0525, 0.0579, 0.0507, 0.0341, 0.0315, 0.0471, 0.0514, 0.0540, 0.0309]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'max' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0388, 0.0193, 0.0286, 0.0422, 0.0575, 0.0204, 0.0654, 0.0180, 0.0604, 0.0878, 0.0442, 0.0751, 0.0546, 0.1079, 0.0189, 0.0335, 0.0214, 0.0562, 0.0651, 0.0846]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0254, 0.0441, 0.0775, 0.0838, 0.0819, 0.0324, 0.0445, 0.0551, 0.0585, 0.0335, 0.0393, 0.0490, 0.0146, 0.0155, 0.0588, 0.0740, 0.0334, 0.0708, 0.0708, 0.0371]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0341, 0.0658, 0.0271, 0.0670, 0.0202, 0.0393, 0.1201, 0.0309, 0.0167, 0.0322, 0.0349, 0.0240, 0.0296, 0.0875, 0.0282, 0.0540, 0.0286, 0.1126, 0.1211, 0.0260]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 1 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0582, 0.0569, 0.0686, 0.0339, 0.0423, 0.0408, 0.0282, 0.0456, 0.0643, 0.0291, 0.0564, 0.0350, 0.0975, 0.0486, 0.0420, 0.0334, 0.0829, 0.0441, 0.0611, 0.0313]])') + } else if (this.kernel_size_entry == 3 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0348, 0.1509, 0.0223, 0.0403, 0.0353, 0.0422, 0.0414, 0.0234, 0.0400, 0.0389, 0.0602, 0.0280, 0.0611, 0.0153, 0.0696, 0.0243, 0.0988, 0.0809, 0.0502, 0.0421]])') + } else if (this.kernel_size_entry == 5 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0474, 0.0843, 0.0303, 0.0462, 0.0524, 0.0281, 0.0316, 0.0324, 0.0973, 0.0390, 0.0707, 0.0437, 0.0408, 0.0800, 0.0694, 0.0585, 0.0344, 0.0356, 0.0456, 0.0323]])') + } else if (this.kernel_size_entry == 7 && this.stride_entry == 2 && this.pool_type_combobox == 'avg' && this.num_outputs_entry == 20) { + this.showArr.push('tensor([[0.0209, 0.0252, 0.0217, 0.0550, 0.0471, 0.0191, 0.0642, 0.0309, 0.0930, 0.1062, 0.0946, 0.0307, 0.0361, 0.0770, 0.0695, 0.0717, 0.0581, 0.0320, 0.0210, 0.0258]])') + } + } + } else if (this.ModelID == 5 && this.temp[4] && this.temp[5] == 0) { //类别 + // DrawImage({ image: this.classifier, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '输出分类结果')) + CommonConstants.context.drawImage(CommonConstants.classifier, event.x, event.y, 40, 40) + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText('输出分类结果', event.x - 5, event.y + 50) + this.AllModelObjArr.push([5, event.x, event.y]) + this.temp[5]++ + } else if (this.ModelID == 6 && this.temp[5] && this.temp[6] == 0) { //误差 + // DrawImage({ image: this.error, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '误差计算')) + CommonConstants.context.drawImage(CommonConstants.error, event.x, event.y, 40, 40) + CommonConstants.context.font = '10px' + CommonConstants.context.fillStyle = '#000000' + CommonConstants.context.fillText('误差计算', event.x, event.y + 50) + this.AllModelObjArr.push([6, event.x, event.y]) + this.temp[6]++ + } else if (this.ModelID == 7 && this.temp[6] && this.temp[7] == 0) { //调整1 + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '')) + CommonConstants.context.drawImage(CommonConstants.adjust, event.x, event.y, 40, 40) + this.AllModelObjArr.push([7, event.x, event.y]) + this.temp[7]++ + } else if (this.ModelID == 8 && this.temp[7] && this.temp[8] == 0) { //调整2 + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '')) + CommonConstants.context.drawImage(CommonConstants.adjust, event.x, event.y, 40, 40) + this.AllModelObjArr.push([8, event.x, event.y]) + this.temp[8]++ + } else if (this.ModelID == 9 && this.temp[8] && this.temp[9] == 0) { //调整3 + // DrawImage({ image: this.adjust, x: event.x, y: event.y }) + // this.save.push(new Point(event.x, event.y, this.ModelID, '')) + CommonConstants.context.drawImage(CommonConstants.adjust, event.x, event.y, 40, 40) + this.AllModelObjArr.push([9, event.x, event.y]) + this.temp[9]++ + } + + //连接线 + if (this.temp[0] > 0 && this.temp[1] > 0) { + let sx, sy, ex, ey + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 0) { + sx = this.AllModelObjArr[i][1] + sy = this.AllModelObjArr[i][2] + break + } + } + ex = event.x + ey = event.y + + if (ex <= sx && ey <= sy) { //左上角 + sx = sx + sy = sy + ex = ex + 40 + ey = ey + 35 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40 + sy = sy + ex = ex + ey = ey + 25 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex <= sx && ey >= sy) { //左下角 + sx = sx + sy = sy + 40 + ex = ex + 40 + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40 + sy = sy + 40 + ex = ex + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } + this.temp[0]-- + } + if (this.temp[1] > 0 && this.temp[2] > 0) { + let sx, sy, ex, ey + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 1) { + sx = this.AllModelObjArr[i][1] + sy = this.AllModelObjArr[i][2] + break + } + } + ex = event.x + ey = event.y + + if (ex <= sx && ey <= sy) { //左上角 + sx = sx + sy = sy + ex = ex + 40 + ey = ey + 35 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40 + sy = sy + ex = ex + ey = ey + 25 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex <= sx && ey >= sy) { //左下角 + sx = sx + sy = sy + 40 + ex = ex + 40 + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40 + sy = sy + 40 + ex = ex + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } + this.temp[1]-- + } + if (this.temp[2] > 0 && this.temp[3] > 0) { + let sx, sy, ex, ey + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 2) { + sx = this.AllModelObjArr[i][1] + sy = this.AllModelObjArr[i][2] + break + } + } + ex = event.x + ey = event.y + + if (ex <= sx && ey <= sy) { //左上角 + sx = sx + sy = sy + ex = ex + 40 + ey = ey + 35 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40 + sy = sy + ex = ex + ey = ey + 25 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex <= sx && ey >= sy) { //左下角 + sx = sx + sy = sy + 40 + ex = ex + 40 + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40 + sy = sy + 40 + ex = ex + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } + this.temp[2]-- + } + if (this.temp[3] > 0 && this.temp[4] > 0) { + let sx, sy, ex, ey + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 3) { + sx = this.AllModelObjArr[i][1] + sy = this.AllModelObjArr[i][2] + break + } + } + ex = event.x + ey = event.y + + if (ex <= sx && ey <= sy) { //左上角 + sx = sx + sy = sy + ex = ex + 40 + ey = ey + 35 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40 + sy = sy + ex = ex + ey = ey + 25 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex <= sx && ey >= sy) { //左下角 + sx = sx + sy = sy + 40 + ex = ex + 40 + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40 + sy = sy + 40 + ex = ex + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } + this.temp[3]-- + } + if (this.temp[4] > 0 && this.temp[5] > 0) { + let sx, sy, ex, ey + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 4) { + sx = this.AllModelObjArr[i][1] + sy = this.AllModelObjArr[i][2] + break + } + } + ex = event.x + ey = event.y + + if (ex <= sx && ey <= sy) { //左上角 + sx = sx + sy = sy + ex = ex + 40 + ey = ey + 35 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40 + sy = sy + ex = ex + ey = ey + 25 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex <= sx && ey >= sy) { //左下角 + sx = sx + sy = sy + 40 + ex = ex + 40 + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40 + sy = sy + 40 + ex = ex + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } + this.temp[4]-- + } + if (this.temp[5] > 0 && this.temp[6] > 0) { + let sx, sy, ex, ey + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 5) { + sx = this.AllModelObjArr[i][1] + sy = this.AllModelObjArr[i][2] + break + } + } + ex = event.x + ey = event.y + + if (ex <= sx && ey <= sy) { //左上角 + sx = sx + sy = sy + ex = ex + 40 + ey = ey + 35 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40 + sy = sy + ex = ex + ey = ey + 25 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex <= sx && ey >= sy) { //左下角 + sx = sx + sy = sy + 40 + ex = ex + 40 + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40 + sy = sy + 40 + ex = ex + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } + this.temp[5]-- + } + if (this.temp[6] > 0 && this.temp[7] > 0) { + let sx, sy, ex, ey + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 6) { + sx = this.AllModelObjArr[i][1] + sy = this.AllModelObjArr[i][2] + break + } + } + ex = event.x + ey = event.y + + if (ex <= sx && ey <= sy) { //左上角 + sx = sx + sy = sy + ex = ex + 40 + ey = ey + 35 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40 + sy = sy + ex = ex + ey = ey + 25 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex <= sx && ey >= sy) { //左下角 + sx = sx + sy = sy + 40 + ex = ex + 40 + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40 + sy = sy + 40 + ex = ex + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } + this.temp[6]-- + } + if (this.temp[7] > 0 && this.temp[8] > 0) { + let sx, sy, ex, ey + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 7) { + sx = this.AllModelObjArr[i][1] + sy = this.AllModelObjArr[i][2] + break + } + } + ex = event.x + ey = event.y + + if (ex <= sx && ey <= sy) { //左上角 + sx = sx + sy = sy + ex = ex + 40 + ey = ey + 35 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40 + sy = sy + ex = ex + ey = ey + 25 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex <= sx && ey >= sy) { //左下角 + sx = sx + sy = sy + 40 + ex = ex + 40 + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40 + sy = sy + 40 + ex = ex + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } + this.temp[7]-- + } + if (this.temp[8] > 0 && this.temp[9] > 0) { + let sx, sy, ex, ey + for (let i = 0; i < this.AllModelObjArr.length; i++) { + if (this.AllModelObjArr[i][0] == 8) { + sx = this.AllModelObjArr[i][1] + sy = this.AllModelObjArr[i][2] + break + } + } + ex = event.x + ey = event.y + + if (ex <= sx && ey <= sy) { //左上角 + sx = sx + sy = sy + ex = ex + 40 + ey = ey + 35 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey <= sy) { //右上角 + sx = sx + 40 + sy = sy + ex = ex + ey = ey + 25 + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.lineTo(ex, ey + 5) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex <= sx && ey >= sy) { //左下角 + sx = sx + sy = sy + 40 + ex = ex + 40 + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex + 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } else if (ex >= sx && ey >= sy) { //右下角 + sx = sx + 40 + sy = sy + 40 + ex = ex + ey = ey + CommonConstants.context.beginPath() + CommonConstants.context.strokeStyle = '#a500cc' + CommonConstants.context.lineWidth = 1.5 + CommonConstants.context.moveTo(sx, sy) + CommonConstants.context.lineTo(ex, ey) + CommonConstants.context.stroke() + CommonConstants.context.closePath() + + CommonConstants.context.beginPath() + CommonConstants.context.fillStyle = '#a500cc' + CommonConstants.context.moveTo(ex, ey) + CommonConstants.context.lineTo(ex, ey - 5) + CommonConstants.context.lineTo(ex - 5, ey) + CommonConstants.context.fill() + CommonConstants.context.closePath() + } + this.temp[8]-- + } + + setTimeout(() => { + this.ModelID = -1 + }, 500) + } + ) + .width('100%') + .height('100%') + } + .borderWidth(1) + .width('100%') + .height('90%') + } + .margin({ left: 3 }) + .width('100%') + .height('100%') + } + + save_images() { + AppStorage.setOrCreate('SaveText', this.showArr) + // + // 将canvas画布信息储存到AppStorage + // CommonConstants.context.drawImage(CommonConstants.data, save[0].x, save[0].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText('数据集', save[0].x + 5, save[0].y + 50) + // this.AllModelObjArr.push([0, save[0].x, save[0].y]) + // this.temp[0]++ + // + // CommonConstants.context.drawImage(CommonConstants.conv, save[1].x, save[1].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[1].text, save[1].x + 5, save[1].y + 50) + // this.AllModelObjArr.push([1, save[1].x, save[1].y]) + // this.temp[1]++ + // + // + // CommonConstants.context.drawImage(CommonConstants.pool, save[2].x, save[2].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[1].text, save[2].x + 5, save[2].y + 50) + // this.AllModelObjArr.push([2, save[2].x, save[2].y]) + // this.temp[2]++ + // + // CommonConstants.context.drawImage(CommonConstants.full_connect, save[3].x, save[3].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[3].text, save[3].x + 2, save[3].y + 50) + // this.AllModelObjArr.push([3, save[3].x, save[3].y]) + // this.temp[3]++ + // + // CommonConstants.context.drawImage(CommonConstants.nonlinear, save[4].x, save[4].y, 40, 40) + // + // + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText(save[4].text, save[4].x + 3, save[4].y + 50) + // this.AllModelObjArr.push([4, save[4].x, save[4].y]) + // this.temp[4]++ + // + // CommonConstants.context.drawImage(CommonConstants.classifier, save[5].x, save[5].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText('输出分类结果', save[5].x - 5, save[5].y + 50) + // this.AllModelObjArr.push([5, save[5].x, save[5].y]) + // this.temp[5]++ + // CommonConstants.context.drawImage(CommonConstants.error, save[6].x, save[6].y, 40, 40) + // CommonConstants.context.font = '10px' + // CommonConstants.context.fillStyle = '#000000' + // CommonConstants.context.fillText('误差计算', save[6].x, save[6].y + 50) + // this.AllModelObjArr.push([6, save[6].x, save[6].y]) + // this.temp[6]++ + // CommonConstants.context.drawImage(CommonConstants.adjust, save[7].x, save[7].y, 40, 40) + // this.AllModelObjArr.push([7, save[7].x, save[7].y]) + // this.temp[7]++ + // CommonConstants.context.drawImage(CommonConstants.adjust, save[8].x, save[8].y, 40, 40) + // this.AllModelObjArr.push([8, save[8].x, save[8].y]) + // this.temp[8]++ + // CommonConstants.context.drawImage(CommonConstants.adjust, save[9].x, save[9].y, 40, 40) + // this.AllModelObjArr.push([9, save[9].x, save[9].y]) + // this.temp[9]++ + } +} + diff --git a/machinelearning/machine_learning/entry/src/main/ets/Components/Display.ets b/machinelearning/machine_learning/entry/src/main/ets/Components/Display.ets new file mode 100644 index 0000000..243ac24 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/ets/Components/Display.ets @@ -0,0 +1,80 @@ +import TrainSettingDialog from '../Components/TrainSettingDialog' +import constant from '@ohos.bluetooth.constant' + +@Component +export default struct Display { + @Link TrainList: any[] + @Link AllModelObjArr: any[] + @Link ModelID: number + @Link showArr: string[] + private scrollerForList: Scroller = new Scroller() + TrainSettingDialogController: CustomDialogController = new CustomDialogController({ + builder: TrainSettingDialog({ TrainList: $TrainList }), + gridCount: 4 + }) + + build() { + Column() { + //功能按钮 + Row({ space: 5 }) { + Text('训练参数设置') + .fontSize(14) + .fontWeight(700) + .backgroundColor('#00BBFF') + .border({ width: 1 }) + .onClick(() => { + this.TrainSettingDialogController.open() + }) + + Text('训练') + .fontSize(14) + .fontWeight(700) + .backgroundColor('#00BBFF') + .border({ width: 1 }) + .onClick(() => { + + }) + + Text('输出模型程序') + .fontSize(14) + .fontWeight(700) + .backgroundColor('#00BBFF') + .border({ width: 1 }) + .onClick(() => { + + }) + + Text('测试') + .fontSize(14) + .fontWeight(700) + .backgroundColor('#00BBFF') + .border({ width: 1 }) + .onClick(() => { + + }) + } + .margin({ top: 3, bottom: 3 }) + .justifyContent(FlexAlign.Start) + .width('100%') + .height('15%') + + Scroll() { + List({ space: 2, scroller: this.scrollerForList }) { + ForEach(this.showArr, (item: string, index: number) => { + ListItem() { + Text(item) + .fontSize(14) + }.width("100%").height(16) + }, (item: string) => item) + } + } + .borderWidth(1) + .width('100%') + .height('83%') + } + .width('100%') + .height('100%') + } +} + + diff --git a/machinelearning/machine_learning/entry/src/main/ets/Components/ModelDialog.ets b/machinelearning/machine_learning/entry/src/main/ets/Components/ModelDialog.ets new file mode 100644 index 0000000..e8f5a6a --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/ets/Components/ModelDialog.ets @@ -0,0 +1,371 @@ +//模型配置弹窗 +@CustomDialog +export default struct ModelDialog { + controller: CustomDialogController + @Link Listinstance: any[][] + @Link ModelID: number + @Link DataArr: any[] + @Link showArr: string[] + private kernel_size_entry: number = 0 //卷积核大小 + private stride_entry: number = 0 //卷积步长 + @State pool_type_combobox: string = 'max' //池化类型 + private pool_size_entry: number = 2 //输入池大小 + private num_outputs_entry: number = 0 //全连接维度 + @State nonlinear_mode_combobox: string = '' //非连接 + private class_box_combobox: number = 0 //分类结果 + @State loss_type_combobox: string = '' //误差类型 + + build() { + Column() { + if (this.ModelID == 1) { //卷积 + Row() { + Image('../common/pictures/icon_logo.png') + .objectFit(ImageFit.Contain) + .width(16) + + Text('卷积参数配置') + .fontSize(16) + } + .width('100%') + .height('10%') + .padding({ left: '3%' }) + + Column() { + Text('卷积核大小：') + .fontSize(16) + + // TextInput({ placeholder: '3' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.kernel_size_entry = value + // }) + + //下拉框 + Select([{ value: '3*3' }, + { value: '5*5' }, + { value: '7*7' }]) + .onSelect((index: number, text?: string | undefined) => { + if (index == 0) { + this.kernel_size_entry = 3 + } else if (index == 1) { + this.kernel_size_entry = 5 + } else if (index == 2) { + this.kernel_size_entry = 7 + } + }) + .value(this.kernel_size_entry.toString()) + .space(2) + .width(200) + + Text('卷积步长：') + .fontSize(16) + + // TextInput({ placeholder: '1' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.stride_entry = value + // }) + //下拉框 + Select([{ value: '1' }, + { value: '2' }]) + .onSelect((index: number, text?: string | undefined) => { + if (index == 0) { + this.stride_entry = 1 + } else if (index == 1) { + this.stride_entry = 2 + } + }) + .value(this.stride_entry.toString()) + .space(2) + .width(200) + + + Button('获取信息') + .fontSize(16) + .height(40) + .onClick(() => { + this.DataArr.push({ + 'objectId': 1, + 'kernel_size_entry': this.kernel_size_entry as number, + 'stride_entry': this.stride_entry as number + }) + // if(this.Listinstance[1][5]=='.'){ + // this.Listinstance[1][5]=this.kernel_size_entry.toString()+','+this.stride_entry.toString() + // }else{ + // this.Listinstance[1][5]=this.Listinstance[1][5]+' '+this.kernel_size_entry.toString()+','+this.stride_entry.toString() + // } + this.controller.close() + }) + } + .width('100%') + .height('90%') + .justifyContent(FlexAlign.SpaceEvenly) + + } else if (this.ModelID == 2) { //池化 + Row() { + Image('../common/pictures/icon_logo.png') + .objectFit(ImageFit.Contain) + .width(16) + + Text('池化参数配置') + .fontSize(16) + } + .width('100%') + .height('10%') + .padding({ left: '3%' }) + + Column() { + Text('池化层类型：') + .fontSize(16) + + //下拉框 + Select([{ value: 'max' }, + { value: 'avg' }]) + .onSelect((index: number, text?: string | undefined) => { + if (text) { + this.pool_type_combobox = text + } + }) + .value(this.pool_type_combobox) + .space(2) + .width(200) + + Text('池化池大小：') + .fontSize(16) + + TextInput({ placeholder: '1' }) + .width(200) + .backgroundColor('#eeeeee') + .onChange((value: string) => { + // this.pool_size_entry = value + }) + + Button('获取信息') + .fontSize(16) + .onClick(() => { + this.DataArr.push({ + 'objectId': 2, + 'pool_type_combobox': this.pool_type_combobox as string, + 'pool_size_entry': this.pool_size_entry as number + }) + // if(this.Listinstance[2][5]=='.'){ + // this.Listinstance[2][5]=this.pool_type_combobox.toString()+','+this.pool_size_entry.toString() + // }else{ + // this.Listinstance[2][5]=this.Listinstance[2][5]+' '+this.pool_type_combobox.toString()+','+this.pool_size_entry.toString() + // } + this.controller.close() + }) + } + .width('100%') + .height('90%') + .justifyContent(FlexAlign.SpaceEvenly) + + } else if (this.ModelID == 3) { //全连接函数 + Row() { + Image('../common/pictures/icon_logo.png') + .objectFit(ImageFit.Contain) + .width(16) + + Text('全连接参数配置') + .fontSize(16) + } + .width('100%') + .height('10%') + .padding({ left: '3%' }) + + Column() { + Text('全连接维度：') + .fontSize(16) + + // TextInput({ placeholder: '10' }) + // .width(200) + // .borderRadius(0) + // .backgroundColor('#eeeeee') + // .onChange((value: string) => { + // this.num_outputs_entry = value + // }) + + //下拉框 + Select([{ value: '5' }, + { value: '10' }, + { value: '20' }]) + .onSelect((index: number, text?: string | undefined) => { + if (index == 0) { + this.num_outputs_entry = 5 + } else if (index == 1) { + this.num_outputs_entry = 10 + } else if (index == 2) { + this.num_outputs_entry = 20 + } + }) + .value(this.num_outputs_entry.toString()) + .space(2) + .width(200) + + Button('获取信息') + .fontSize(16) + .height(40) + .onClick(() => { + this.DataArr.push({ 'objectId': 3, 'num_outputs_entry': this.num_outputs_entry as number }) + // if(this.Listinstance[3][5]=='.'){ + // this.Listinstance[3][5]=this.num_outputs_entry.toString() + // }else{ + // this.Listinstance[3][5]=this.Listinstance[3][5]+' '+this.num_outputs_entry.toString() + // } + this.controller.close() + }) + } + .width('100%') + .height('90%') + .justifyContent(FlexAlign.SpaceEvenly) + + } else if (this.ModelID == 4) { //非线性函数 + Row() { + Image('../common/pictures/icon_logo.png') + .objectFit(ImageFit.Contain) + .width(16) + + Text('非线性参数配置') + .fontSize(16) + } + .width('100%') + .height('10%') + .padding({ left: '3%' }) + + Column() { + Text('非线性类型：') + .fontSize(16) + + Select([{ value: 'Sigmoid' }, + { value: 'ReLU' }, + { value: 'Tanh' }]) + .onSelect((index: number, text?: string | undefined) => { + if (text) { + this.nonlinear_mode_combobox = text + } + }) + .value(this.nonlinear_mode_combobox) + .space(2) + .width(200) + + Column() + .height(40) + + Button('获取信息') + .fontSize(16) + .height(40) + .onClick(() => { + this.DataArr.push({ 'objectId': 4, 'nonlinear_mode_combobox': this.nonlinear_mode_combobox }) + // if(this.Listinstance[4][5]=='.'){ + // this.Listinstance[4][5]=this.nonlinear_mode_combobox.toString() + // }else{ + // this.Listinstance[4][5]=this.Listinstance[4][5]+' '+this.nonlinear_mode_combobox.toString() + // } + this.controller.close() + }) + } + .width('100%') + .height('90%') + .justifyContent(FlexAlign.SpaceEvenly) + + } else if (this.ModelID == 5) { //类别 + Row() { + Image('../common/pictures/icon_logo.png') + .objectFit(ImageFit.Contain) + .width(16) + + Text('分类参数配置') + .fontSize(16) + } + .width('100%') + .height('10%') + .padding({ left: '3%' }) + + Column() { + Text('阈值：') + .fontSize(16) + + TextInput({ placeholder: '0.001' }) + .width(200) + .borderRadius(0) + .backgroundColor('#eeeeee') + .onChange((value: string) => { + // this.class_box_combobox = value + }) + + + Button('获取信息') + .fontSize(16) + .height(40) + .onClick(() => { + this.DataArr.push({ 'objectId': 5, 'class_box_combobox': this.class_box_combobox }) + // if(this.Listinstance[5][5]=='.'){ + // this.Listinstance[5][5]=this.class_box_combobox.toString() + // }else{ + // this.Listinstance[5][5]=this.Listinstance[5][5]+' '+this.class_box_combobox.toString() + // } + this.controller.close() + }) + } + .width('100%') + .height('90%') + .justifyContent(FlexAlign.SpaceEvenly) + + } else if (this.ModelID == 6) { //误差 + Row() { + Image('../common/pictures/icon_logo.png') + .objectFit(ImageFit.Contain) + .width(16) + + Text('误差参数配置') + .fontSize(16) + } + .width('100%') + .height('10%') + .padding({ left: '3%' }) + + Column() { + Select([{ value: 'CEE' }, + { value: 'MSE' }, + { value: 'MAE' }]) + .onSelect((index: number, text?: string | undefined) => { + if (text) { + this.loss_type_combobox = text + } + }) + .value(this.loss_type_combobox) + .space(2) + .width(200) + + Column() + .height(80) + + Button('获取信息') + .fontSize(16) + .height(40) + .onClick(() => { + this.DataArr.push({ 'objectId': 6, 'loss_type_combobox': this.loss_type_combobox }) + // if(this.Listinstance[6][5]=='.'){ + // this.Listinstance[6][5]=this.loss_type_combobox.toString() + // }else{ + // this.Listinstance[6][5]=this.Listinstance[6][5]+' '+this.loss_type_combobox.toString() + // } + this.controller.close() + }) + } + .width('100%') + .height('90%') + .justifyContent(FlexAlign.SpaceEvenly) + } + } + .justifyContent(FlexAlign.Center) + .width('100%') + .height('100%') + .backgroundColor('#dddddd') + + } +} diff --git a/machinelearning/machine_learning/entry/src/main/ets/Components/MyDrawImage.ets b/machinelearning/machine_learning/entry/src/main/ets/Components/MyDrawImage.ets new file mode 100644 index 0000000..d75e37a --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/ets/Components/MyDrawImage.ets @@ -0,0 +1,15 @@ +@Component +export struct DrawImage { + image: ResourceStr + x: number + y: number + + build() { + Column() { + Image(this.image) + .position({ x: this.x, y: this.y }) + } + .width(100) + .height(100) + } +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/main/ets/Components/ToolBar.ets b/machinelearning/machine_learning/entry/src/main/ets/Components/ToolBar.ets new file mode 100644 index 0000000..05ffcad --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/ets/Components/ToolBar.ets @@ -0,0 +1,286 @@ +import ModelDialog from '../Components/ModelDialog' + +@Component +export default struct ToolBar { + @Link ModelID: number + @Link DataArr: any[] + @Link Listinstance: any[][] + @Link showArr: string[] + ModelDialogController: CustomDialogController = new CustomDialogController({ + builder: ModelDialog({ Listinstance: $Listinstance, ModelID: $ModelID, DataArr: $DataArr, showArr: $showArr }), + gridCount: 4 + }) + + build() { + Column() { + //加载数据集和卷积 + Row() { + //加载数据集 + Row() { + Text('加载数据集') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/data.png') + .objectFit(ImageFit.Contain) + .width(50) + .border({ + color: this.ModelID == 0 ? Color.Red : Color.Transparent, + width: 1 + }) + .onClick(() => { + this.ModelID = 0 + }) + } + .width('50%') + + //卷积 + Row() { + Text('卷积') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/conv.png') + .objectFit(ImageFit.Contain) + .width(50) + .border({ + color: this.ModelID == 1 ? Color.Red : Color.Transparent, + width: 1 + }) + .onClick(() => { + this.ModelID = 1 + this.ModelDialogController.open() + }) + } + .width('50%') + } + .width('100%') + .height('16%') + + //池化和全连接函数 + Row() { + //池化 + Row() { + Text('池化') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/pool.png') + .objectFit(ImageFit.Contain) + .width(50) + .border({ + color: this.ModelID == 2 ? Color.Red : Color.Transparent, + width: 1 + }) + .onClick(() => { + this.ModelID = 2 + this.ModelDialogController.open() + }) + } + .width('50%') + + //全连接函数 + Row() { + Text('全连接函数') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/full_connect.png') + .objectFit(ImageFit.Contain) + .width(50) + .border({ + color: this.ModelID == 3 ? Color.Red : Color.Transparent, + width: 1 + }) + .onClick(() => { + this.ModelID = 3 + this.ModelDialogController.open() + }) + } + .width('50%') + } + .width('100%') + .height('16%') + + //非线性函数和类别 + Row() { + //非线性函数 + Row() { + Text('非线性函数') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/nonlinear.png') + .objectFit(ImageFit.Contain) + .width(50) + .border({ + color: this.ModelID == 4 ? Color.Red : Color.Transparent, + width: 1 + }) + .onClick(() => { + this.ModelID = 4 + this.ModelDialogController.open() + }) + } + .width('50%') + + //类别 + Row() { + Text('类别') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/classifier.png') + .objectFit(ImageFit.Contain) + .width(50) + .border({ + color: this.ModelID == 5 ? Color.Red : Color.Transparent, + width: 1 + }) + .onClick(() => { + this.ModelID = 5 + this.ModelDialogController.open() + }) + } + .width('50%') + } + .width('100%') + .height('16%') + + //误差和调整1 + Row() { + //误差 + Row() { + Text('误差') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/error.png') + .objectFit(ImageFit.Contain) + .width(50) + .border({ + color: this.ModelID == 6 ? Color.Red : Color.Transparent, + width: 1 + }) + .onClick(() => { + this.ModelID = 6 + this.ModelDialogController.open() + }) + } + .width('50%') + + //调整1 + Row() { + Text('调整1') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/adjust.png') + .objectFit(ImageFit.Contain) + .width(50) + .border({ + color: this.ModelID == 7 ? Color.Red : Color.Transparent, + width: 1 + }) + .onClick(() => { + this.ModelID = 7 + }) + } + .width('50%') + + } + .width('100%') + .height('16%') + + //调整2和调整3 + Row() { + //调整2 + Row() { + Text('调整2') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/adjust.png') + .objectFit(ImageFit.Contain) + .width(50) + .border({ + color: this.ModelID == 8 ? Color.Red : Color.Transparent, + width: 1 + }) + .onClick(() => { + this.ModelID = 8 + }) + + } + .width('50%') + + //调整3 + Row() { + Text('调整3') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/adjust.png') + .objectFit(ImageFit.Contain) + .width(50) + .border({ + color: this.ModelID == 9 ? Color.Red : Color.Transparent, + width: 1 + }) + .onClick(() => { + this.ModelID = 9 + }) + } + .width('50%') + } + .width('100%') + .height('16%') + + //主数据连接线和参数连接线 + Row() { + //主数据连接线 + Row() { + Text('主数据连接线') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/arrow.png') + .objectFit(ImageFit.Contain) + .width(50) + } + .width('50%') + + //参数连接线 + Row() { + Text('参数连接线') + .width(50) + .fontSize(14) + .textAlign(TextAlign.Center) + + Image('/common/pictures/arrow2.png') + .objectFit(ImageFit.Contain) + .width(50) + } + .width('50%') + } + .width('100%') + .height('16%') + } + .width('100%') + .height('100%') + .justifyContent(FlexAlign.Center) + .borderWidth(1) + } +} + diff --git a/machinelearning/machine_learning/entry/src/main/ets/Components/TrainSettingDialog.ets b/machinelearning/machine_learning/entry/src/main/ets/Components/TrainSettingDialog.ets new file mode 100644 index 0000000..1890250 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/ets/Components/TrainSettingDialog.ets @@ -0,0 +1,80 @@ +//训练参数设置弹窗 +@CustomDialog +export default struct TrainSettingDialog { + controller: CustomDialogController + @Link TrainList: any[] + private epoch_entry: string = '' //训练轮数 + private batch_size_entry: string = '' //批次 + private rate_entry: string = '' //学习率 + + build() { + Column() { + Row() { + Image('../common/pictures/icon_logo.png') + .objectFit(ImageFit.Contain) + .width(16) + + Text('训练参数配置') + .fontSize(16) + } + .width('100%') + .height('10%') + .padding({ left: '3%' }) + + Column() { + Text('训练轮数：') + .fontSize(16) + + TextInput({ placeholder: '4' }) + .width(200) + .borderRadius(0) + .backgroundColor('#eeeeee') + .onChange((value: string) => { + this.epoch_entry = value + }) + + Text('批次：') + .fontSize(16) + + TextInput({ placeholder: '0.1' }) + .width(200) + .borderRadius(0) + .backgroundColor('#eeeeee') + .onChange((value: string) => { + this.rate_entry = value + }) + + Text('学习率：') + .fontSize(16) + + TextInput({ placeholder: '32' }) + .width(200) + .borderRadius(0) + .backgroundColor('#eeeeee') + .onChange((value: string) => { + this.batch_size_entry = value + }) + + Button('获取信息') + .fontSize(16) + .height(40) + .onClick(() => { + this.TrainList.push({ + 'epoch_entry': this.epoch_entry, + 'rate_entry': this.rate_entry, + 'batch_size_entry': this.batch_size_entry + }) + this.controller.close() + }) + } + .width('100%') + .height('90%') + .justifyContent(FlexAlign.SpaceEvenly) + } + .justifyContent(FlexAlign.Center) + .width('100%') + .height('100%') + .backgroundColor('#dddddd') + + } +} diff --git a/machinelearning/machine_learning/entry/src/main/ets/classes/ModelConn.ets b/machinelearning/machine_learning/entry/src/main/ets/classes/ModelConn.ets new file mode 100644 index 0000000..fd83190 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/ets/classes/ModelConn.ets @@ -0,0 +1,19 @@ +//连接线对象类 +export default class ModelConn { + ConnObjID: number + //连接线编号 + ConnType: number + //连接线类别 + NobjS: string + //源图元对象 + NobjE: string + + //目标对象 + + constructor(ConnObjID: number, ConnType: number, NobjS: string, NobjE: string) { + this.ConnObjID = ConnObjID + this.ConnType = ConnType + this.NobjS = NobjS + this.NobjE = NobjE + } +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/main/ets/classes/ModelObj.ets b/machinelearning/machine_learning/entry/src/main/ets/classes/ModelObj.ets new file mode 100644 index 0000000..900f3a9 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/ets/classes/ModelObj.ets @@ -0,0 +1,46 @@ +//图元对象类 +export default class ModelObj { + ObjID: string + //图元号 + ObjType: number + //图元类别 + ObjLable: string + //对象标签 + ProcFunc: string + //基本操作函数 类型暂定string + SetParaFunc: string + //参数设置函数 类型暂定string + ParaString: string + //参数字符串 + ObjX: number + //对象位置x坐标 + ObjY: number + + //对象位置y坐标 + + constructor(ObjID: string, ObjType: number, ObjLable: string, ProcFunc: string, SetParaFunc: string, ParaString: string, ObjX: number, ObjY: number) { + this.ObjID = ObjID + this.ObjType = ObjType + this.ObjLable = ObjLable + this.ProcFunc = ProcFunc + this.SetParaFunc = SetParaFunc + this.ParaString = ParaString + this.ObjX = ObjX + this.ObjY = ObjY + } + + //输出方法 + output() { + // 创建一个空列表 + let result = [] + result.push(this.ObjID) + result.push(this.ObjType) + result.push(this.ObjLable) + result.push(this.ProcFunc) + result.push(this.SetParaFunc) + result.push(this.ParaString) + result.push(this.ObjX) + result.push(this.ObjY) + return result + } +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/main/ets/common/constants/CommonConstants.ets b/machinelearning/machine_learning/entry/src/main/ets/common/constants/CommonConstants.ets new file mode 100644 index 0000000..071b158 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/ets/common/constants/CommonConstants.ets @@ -0,0 +1,27 @@ +//绘图组件canvas的设置及上下文 +export const settings: RenderingContextSettings = new RenderingContextSettings(true); + +export const context: CanvasRenderingContext2D = new CanvasRenderingContext2D(settings); + +// 图片资源 +export const adjust: ImageBitmap = new ImageBitmap("common/pictures/adjust.png"); + +export const arrow: ImageBitmap = new ImageBitmap("common/pictures/arrow.png"); + +export const arrow1: ImageBitmap = new ImageBitmap("common/pictures/arrow1.png"); + +export const arrow2: ImageBitmap = new ImageBitmap("common/pictures/arrow2.png"); + +export const classifier: ImageBitmap = new ImageBitmap("common/pictures/classifier.png"); + +export const conv: ImageBitmap = new ImageBitmap("common/pictures/conv.png"); + +export const data: ImageBitmap = new ImageBitmap("common/pictures/data.png"); + +export const error: ImageBitmap = new ImageBitmap("common/pictures/error.png"); + +export const full_connect: ImageBitmap = new ImageBitmap("common/pictures/full_connect.png"); + +export const 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onDestroy(): void { + hilog.info(0x0000, 'testTag', '%{public}s', 'Ability onDestroy'); + } + + onWindowStageCreate(windowStage: window.WindowStage): void { + // Main window is created, set main page for this ability + hilog.info(0x0000, 'testTag', '%{public}s', 'Ability onWindowStageCreate'); + + windowStage.loadContent('pages/Index', (err, data) => { + if (err.code) { + hilog.error(0x0000, 'testTag', 'Failed to load the content. Cause: %{public}s', JSON.stringify(err) ?? ''); + return; + } + hilog.info(0x0000, 'testTag', 'Succeeded in loading the content. Data: %{public}s', JSON.stringify(data) ?? ''); + }); + } + + onWindowStageDestroy(): void { + // Main window is destroyed, release UI related resources + hilog.info(0x0000, 'testTag', '%{public}s', 'Ability onWindowStageDestroy'); + } + + onForeground(): void { + // Ability has brought to foreground + hilog.info(0x0000, 'testTag', '%{public}s', 'Ability onForeground'); + } + + onBackground(): void { + // Ability has back to background + hilog.info(0x0000, 'testTag', '%{public}s', 'Ability onBackground'); + } +} diff --git a/machinelearning/machine_learning/entry/src/main/ets/function/function.ets b/machinelearning/machine_learning/entry/src/main/ets/function/function.ets new file mode 100644 index 0000000..d8b54e8 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/ets/function/function.ets @@ -0,0 +1,7 @@ +export function addLogMessage(logText: string){ + let text = AppStorage.get("LogText") + text = text + logText + '\n' + AppStorage.set("LogText", text) + console.info('addLogMessage', 'Success') +} + diff --git a/machinelearning/machine_learning/entry/src/main/ets/pages/Index.ets b/machinelearning/machine_learning/entry/src/main/ets/pages/Index.ets new file mode 100644 index 0000000..6d965c8 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/ets/pages/Index.ets @@ -0,0 +1,68 @@ +import ToolBar from '../Components/ToolBar' +import Display from '../Components/Display' +import Content from '../Components/Content' +import common from '@ohos.app.ability.common'; +import Window from '@ohos.window' +import { BusinessError } from '@ohos.base'; +import { create_instance, connect_class, generateRandomMatrix, setconv_para } from '../utils/util' + +@Entry +@Component +struct Index { + // 设置开发板横屏显示 + private changeOrientation() { + let windowClass: Window.Window | undefined = undefined; + // 获取上下文，使用common模块 + let context = getContext(this) as common.UIAbilityContext; + let promise = Window.getLastWindow(context); + promise.then((data) => { + windowClass = data; + //切换成横屏 + let orientation = Window.Orientation.LANDSCAPE; + windowClass.setPreferredOrientation(orientation, (err: BusinessError) => { + }); + console.info('Succeeded in obtaining the top window. Data: ' + JSON.stringify(data)); + }).catch((err: BusinessError) => { + console.error('Failed to obtain the top window. Cause: ' + JSON.stringify(err)); + }); + } + + @State Listinstance: any[][] = [] + @State ModelID: number = -1 + @State DataArr: any[] = [] + @State TrainList: any[] = [] + @State AllModelObjArr: any[] = [] + @State showArr: string[] = [] + + aboutToAppear() { + this.changeOrientation() + } + + build() { + Column() { + Row() { + //功能栏 + ToolBar({ Listinstance: $Listinstance, ModelID: $ModelID, DataArr: $DataArr, showArr: $showArr }) + .width('27%') + .height('100%') + + //内容区 + Content({ ModelID: $ModelID, DataArr: $DataArr, AllModelObjArr: $AllModelObjArr, showArr: $showArr }) + .width('73%') + .height('100%') + } + .width('100%') + .height('65%') + + //展示区 + Display({ TrainList: $TrainList, AllModelObjArr: $AllModelObjArr, ModelID: $ModelID, showArr: $showArr }) + .width('100%') + .height('35%') + } + .padding(5) + .width('100%') + .height('100%') + } +} + + diff --git a/machinelearning/machine_learning/entry/src/main/ets/utils/util.ets b/machinelearning/machine_learning/entry/src/main/ets/utils/util.ets new file mode 100644 index 0000000..b846bed --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/ets/utils/util.ets @@ -0,0 +1,1204 @@ +import ModelObj from '../classes/ModelObj' +import ModelConn from '../classes/ModelConn' + +//图片转换为数组 +export function image_to_array() { + +} + +//卷积操作计算 +export function convolve(data, kernel) { + //获取数据和卷积核的形状 + let data_height = data.shape //获取数据高宽 + let data_width = data.shape //获取数据高宽 + let kernel_height = kernel.shape //获取卷积核高宽 + let kernel_width = kernel.shape //获取卷积核高宽 + let output_height = data_height - kernel_height + 1 //以步长为1来计算输出的高宽 + let output_width = data_width - kernel_width + 1 + // let output = np.zeros((output_height, output_width)) //创建一个空的输出数组 + ////遍历输出数组的每个元素，计算卷积值 + for (let i = 0; i < output_height; i++) { + for (let j = 0; i < output_width; j++) { + // let data_region = data[i+kernel_height, j+kernel_width] //获取数据和卷积核的对应区域 + // let conv_value = np.sum(data_region * kernel) //计算对应区域的元素乘积之和，作为卷积值 + // output[i, j] = conv_value // 将卷积值赋给输出数组的对应元素 + } + } + // return output +} + +// 定义一个函数，实现全连接操作 +export function full_connect(input_data, weight_matrix, bias_vector) { + // let output_data = np.dot(input_data, weight_matrix) //计算输入数据和权重矩阵的乘积 + // let bias_vector = np.expand_dims(bias_vector, axis=0) //扩展偏置向量的形状 + // bias_vector = np.expand_dims(bias_vector, axis=0) + // output_data = output_data + bias_vector //加上偏置向量 + // return output_data //返回输出数据 +} + +//创建图元对象实例 +export function create_instance() { + let DataSet = new ModelObj("DataSet", 1, "数据集", "LoadData", "SetDataPara", ".", 120, 330).output() + let Conv = new ModelObj("Conv", 2, "卷积", "ConvProc", "SetConvPara", ".", 250, 330).output() + let Pool = new ModelObj("Pool", 3, "最大池化", "MaxPoolProc", "SetPollPara", ".", 380, 330).output() + let FullConn = new ModelObj("FullConn", 4, "全连接", "FullConnProc", "SetFullConnPara", ".", 510, 330).output() + let Nonline = new ModelObj("Nonline", 5, "非线性函数", "NonlinearProc", "SetNonLPara", ".", 640, 330).output() + let Classifier = new ModelObj("Classifier", 6, "分类", "ClassifierProc", "SetClassifyPara", ".", 780, 330).output() + let Error = new ModelObj("Error", 7, "误差计算", "ErrorProc", "SetErrorPara", ".", 710, 124).output() + let AjConv = new ModelObj("AjConv", 8, "卷积调整", "AjConvProc", "SetAjConvPara", ".", 250, 70).output() + let AjFullconn = new ModelObj("AjFullconn", 9, "全连接调整", "AjFullconnProc", "SetAjFCPara", ".", 510, 120).output() + let listinstance = [DataSet, Conv, Pool, FullConn, Nonline, Classifier, Error, AjConv, AjFullconn] + return listinstance //# 还回图元对象实例列表 +} + +//创建连接对象实例 +export function connect_class(listinstance) { + let Line1 = new ModelConn(1, 1, listinstance[0], listinstance[1]) + let Line2 = new ModelConn(2, 1, listinstance[1], listinstance[2]) + let Line3 = new ModelConn(3, 1, listinstance[2], listinstance[3]) + let Line4 = new ModelConn(4, 1, listinstance[3], listinstance[4]) + let Line5 = new ModelConn(5, 1, listinstance[4], listinstance[5]) + let Line6 = new ModelConn(6, 1, listinstance[5], listinstance[6]) + let Line7 = new ModelConn(7, 2, listinstance[6], listinstance[8]) + let Line8 = new ModelConn(8, 2, listinstance[6], listinstance[7]) + let Line9 = new ModelConn(9, 2, listinstance[8], listinstance[3]) + let Line10 = new ModelConn(10, 2, listinstance[7], listinstance[1]) + let listclass = [Line1, Line2, Line3, Line4, Line5, Line6, Line7, Line8, Line9, Line10] + return listclass //还回连接对象实例 +} + + +//定义加载数据集的参数 +export function setload_data() { + let train_imgPath = '/common/train/' //训练集文件夹位置 + let test_imgPath = '/common/verify/' //测试集文件夹位置 + let img_width = 48 //图片宽度 + let img_height = 48 //图片高度 + let batch_size = 32 //设置每批次读入图片的数量 + + let DataPara = { + "train_imgPath": train_imgPath, + "test_imgPath": test_imgPath, + "img_width": img_width, + "img_height": img_height, + "batch_size": batch_size + } + return DataPara +} + +//定义加载数据集load_data() +export function load_data(DataPara) { + let imgPaths = ["train_imgPath", "test_imgPath"] + let listimages = [] + for (let datapath = 0; datapath < imgPaths.length; datapath++) { + // filenames = os.listdir(DataPara[datapath]) + let filenames + let images = [] + for (let tfname = 0; tfname < filenames.length; tfname++) { + if (false) { + let path = DataPara[datapath] + tfname //# 拼接图片路径 + //# 引用X1里面的image_to_array()方法 + //let img = image_to_array(path, DataPara["img_width"], DataPara["img_height"]) # 读取图片数据 + // img = img.T # 转置，图像的行和列将互换位置。 + // images.push(img) + } + } + // listimages.append(np.array(images)) # 返回转换后的数组 + } + // return listimages[0],listimages[1] +} + +//定义设置卷积参数的函数SetConvPara() +export function setconv_para(numbers, Listinstance) { + // 从Conv的ParaString得到一个包含所有卷积参数的列表 + let conv_list = Listinstance[1][5].split() + let [height, stride] = conv_list[numbers - 1].split(",") + height = Number(height) // 设置卷积核大小 + stride = Number(stride) // 设置步长 + //卷积核为3x3的单位矩阵(高斯分布)，通常再乘上一个小的数，比如0.01 + let kernel = generateRandomMatrix(height, 0.1) + let padding = 0 // 设置填充，这里假设是0 + let bias = 0.5 // 设置偏置，这里假设是0.5 + let Conv0 = new ModelObj("Conv", 2, "卷积", "ConvProc", "SetConvPara", ".", 340, 60).output() + let ConvPara = {} + if (numbers == 1) { //若为第一个卷积层： + //返回ConvPara参数,这里用一个字典来存储 + ConvPara = { + "1": { + "kernel": kernel, + "kernel_h": height, + "kernel_w": height, + "stride": stride, + "padding": padding, + "bias": bias + } + } + // 创建全局变量的卷积图元对象实例 + let Conv1 = Conv0 + //令Conv1[5]等于{1: {'kernel': array(), 'kernel_h': 5, 'kernel_w': 5, 'stride': 1, 'padding': 0} + Conv1[5] = ConvPara + //将Conv1[5][1]重新赋值到ConvPara + ConvPara = Conv1[5][1] + } else if (numbers == 2) { //若为第二个卷积层： + //返回ConvPara参数,这里用一个字典来存储 + ConvPara = { + "2": { + "kernel": kernel, + "kernel_h": height, + "kernel_w": height, + "stride": stride, + "padding": padding, + "bias": bias + } + } + let Conv2 = Conv0 + Conv2[5] = ConvPara + ConvPara = Conv2[5][2] + } else if (numbers == 3) { //若为第三个卷积层： + //返回ConvPara参数,这里用一个字典来存储 + ConvPara = { + "3": { + "kernel": kernel, + "kernel_h": height, + "kernel_w": height, + "stride": stride, + "padding": padding, + "bias": bias + } + } + let Conv3 = Conv0 + Conv3[5] = ConvPara + ConvPara = Conv3[5][3] + } + // 返回ConvPara,即{'kernel': array(), 'kernel_h': 5, 'kernel_w': 5, 'stride': 1, 'padding': 0} + return ConvPara +} + +export function boxMullerTransform(u, v) { + let sqrt = Math.sqrt(-2.0 * Math.log(u)); + let theta = 2.0 * Math.PI * v; + let z0 = sqrt * Math.cos(theta); + let z1 = sqrt * Math.sin(theta); + return [z0, z1]; +} + +export function generateNormalRandom(mean = 0, stdDev = 1) { + let u, v; + do { + u = Math.random(); + v = Math.random(); + } while (u <= 1e-14); + let [z0, z1] = boxMullerTransform(u, v); + return mean + stdDev * z0; // 只返回一个值，因为Box-Muller生成两个 +} + +export function generateRandomMatrix(height, stdDev = 0.1) { + let matrix = []; + for (let i = 0; i < height; i++) { + matrix[i] = []; + for (let j = 0; j < height; j++) { + matrix[i][j] = generateNormalRandom(0, stdDev); + } + } + return matrix; +} + + +export function zeros(c, out_h, out_w) { + let output = []; + for (let i = 0; i < c; i++) { + output[i] = []; + for (let j = 0; j < out_h; j++) { + output[i][j] = []; + for (let k = 0; k < out_w; k++) { + output[i][j][k] = 0; + } + } + } + return output; +} + +function convolve2D(image, kernel, bias, stride) { + const kernelHeight = kernel.length; + const kernelWidth = kernel[0].length; + + const inputHeight = image.length; + const inputWidth = image[0].length; + + // 注意：这里我们假设是单通道图像，因此c=1，并且不需要在输出中考虑通道维度 + const outputHeight = Math.floor((inputHeight - kernelHeight + 1) / stride); + const outputWidth = Math.floor((inputWidth - kernelWidth + 1) / stride); + + // 初始化输出数组为二维，因为我们处理的是单通道图像 + const output = new Float32Array(outputHeight * outputWidth); + let outputIndex = 0; + + // 遍历每个输出位置 + for (let i = 0; i < outputHeight; i++) { + for (let j = 0; j < outputWidth; j++) { + let sum = bias; + // 遍历卷积核的每个元素 + for (let m = 0; m < kernelHeight; m++) { + for (let n = 0; n < kernelWidth; n++) { + const xi = i * stride + m; + const yj = j * stride + n; + // 检查索引是否在输入图像的范围内 + if (xi >= 0 && xi < inputHeight && yj >= 0 && yj < inputWidth) { + sum += image[xi][yj] * kernel[m][n]; + } + } + } + // 将累加和存储在输出数组的相应位置 + output[outputIndex++] = sum; + } + } + + // 如果需要，可以将一维数组转换为二维数组（但在这里我们保持为一维） + // 或者，可以创建一个二维数组并填充它，但这将需要额外的内存和处理时间 + + // 返回输出数组 + return output; +} + +//定义卷积函数ConvProc() +export function conv_proc(image, ConvPara) { + let receiveObj = shape(image) //获取输入数据的大小，这里假设是单通道的图片 + let c = 1 + let image_h = receiveObj['image_h'] + let image_w = receiveObj['image_w'] + let kernel_h = ConvPara["kernel_h"] //获取卷积核的大小和卷积核 + let kernel_w = ConvPara["kernel_w"] + let kernel = ConvPara["kernel"] + let out_h = Math.floor((image_h - kernel_h) / ConvPara["stride"]) + 1 // 计算输出数据的大小 + let out_w = Math.floor((image_w - kernel_w) / ConvPara["stride"]) + 1 + let stride = ConvPara["stride"] //获得步长 + let bias = ConvPara["bias"] //获得偏置 + + let output = zeros(c, out_h, out_w) //初始化输出数据为零矩阵 let output = np.zeros((c, out_h, out_w)) + // for(let k=0;k 0, 1, 0) + // } else if (nonlinearmode == "Tanh"){ + // //Tanh函数，将任何实数的输入映射到-1和1之间的输出 + // output = np.tanh(inputdata) + // //求出Tanh函数的导数，用于全连接层权重矩阵和偏执向量的调整 + // output_derivative = 1 - np.tanh(inputdata) ** 2 + // } else{ + // //非法的非线性类型，抛出异常 + // // raise ValueError("Invalid nonlinear mode") + // } + // let tempArr=[] + // tempArr.push({'output':output,'output_derivative':output_derivative}) + // //返回计算后的值 + // return tempArr +} + +//定义设置分类函数参数的函数 +export function setclassify_para(Listinstance) { + //设定阈值 + let threshold = Number(Listinstance[5][5]) + //返回ClassifyPara参数，这里用一个字典来存储 + let ClassifyPara = { "threshold": threshold } + //返回ClassifyPara参数 + return ClassifyPara +} + +//定义分类函数 +export function classifier_proc(inputdata, ClassifyPara) { + //找到概率超过阈值的标签分类，就是分类结果 + //假设输入数据是一个一维数组，表示每个类别的概率 + //假设输出数据是一个整数，表示预测的类别编号 + //如果没有任何类别的概率超过阈值，就返回-1表示无法分类 + //从ClassifyPara参数中获取阈值 + // let threshold = ClassifyPara["threshold"] + // //调用softmax函数，得到概率分布向量 + // let prob = softmax(inputdata) + // //如果概率高于阈值，就将该类别加入输出结果 + // let prob1 = prob[prob >= threshold] + // //使用where()函数来返回等于概率最大值的元素的索引 + // let index = np.where(prob == max(prob1)) + // //使用item()方法来将索引转换为标准Python标量 + // let output = index[1].item(0) + 1 + // //返回分类标签 + // return output +} + +//定义softmax函数 +export function softmax(x) { + //减去最大值，防止数值溢出 + // x -= np.max(x) + // // 计算指数和归一化 + // return np.exp(x) / np.sum(np.exp(x)) +} + +// 定义设置误差参数的函数 +export function seterror_para(Listinstance) { + // 确定参数信息: 标签类别，损失函数类型 + //从FullConn的ParaString得到一个包含所有全连接参数的列表 + let fullconn_list = Listinstance[3][5].split() + //标签类别为最后一个全连接层的输出维度 + let num_outputs = fullconn_list[-1] + num_outputs = Number(num_outputs) + // let label_list = list(range(1, num_outputs + 1)) + //假设损失函数类型为交叉熵（Cross Entropy Error，CEE） + //从Error的ParaString得到一个包含所有全连接参数的列表 + let error_list = Listinstance[6][5].split() + //设置权重矩阵及其输出维度和偏置向量 + let loss_type = error_list[-1] + //返回ErrorProc参数，这里用一个元组来存储 + // let ErrorPara = (label_list, loss_type) + //返回ErrorPara参数 + // return ErrorPara +} + +//定义计算误差的函数 +export function error_proc(input, right_label, ErrorPara) { + //将真实标签类别label转换为one-hot编码形式 + //读取标签列表和损失函数类型 + // let label_list, loss_type = ErrorPara + // //创建一个单位矩阵，大小为标签类别的个数 + // let one_hot_matrix = np.eye(len(label_list)) + // //找到标签在标签列表中的索引位置 + // let index = [label_list.index(l) for l in right_label] + // index = [x-1 for x in right_label] + // // 从one-hot矩阵中取出对应的向量 + // let label_one_hot = np.take(one_hot_matrix, index, axis=0) + // let loss + // //确定损失函数类别，实现不同的损失函数，计算输入值与label之间的误差 + // if (loss_type == "CEE"){ + // //使用交叉熵损失函数，公式为：-sum(label_one_hot * log(input)) / n + // loss = -np.sum(label_one_hot * np.log(input)) / (input.length) + // }else if(loss_type == "MSE"){ + // //使用均方误差损失函数，公式为：sum((input - label_one_hot) ** 2) / n + // loss = np.sum((input - label_one_hot) ** 2) / (input.length) + // }else if (loss_type == "MAE"){ + // // 使用平均绝对误差损失函数，公式为：sum(abs(input - label_one_hot)) / n + // let loss = np.sum(np.abs(input - label_one_hot)) / (input.length) + // }else{ + // // 如果损失函数类型不在以上三种中，抛出异常 + // //raise ValueError("Invalid loss type") + // } + //返回误差值loss + // return loss +} + +export function conv_one(loss, images, Conv1) { + let kernel = Conv1[5][1]['kernel'] + let bias = 0.5 + // loss = np.array([[loss]]) + let receiveArr = update_conv_layer(images, kernel, bias, loss) + let new_kernel = receiveArr[0]['new_kernel'] + let new_bias = receiveArr[0]['new_bias'] + Conv1[5][1]["kernel"] = new_kernel + Conv1[5][1]["bias"] = new_bias +} + +// 定义一个卷积核调整函数,输入为卷积层的输入数据数组、卷积核、偏置、误差值，输出为更新后的卷积核、偏置 +export function update_conv_layer(input, kernel, bias, loss) { + let kernel_grad_list = [] + let bias_grad = 0 // 初始化偏置项梯度为零 + // for(let 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a/machinelearning/machine_learning/entry/src/main/resources/en_US/element/string.json b/machinelearning/machine_learning/entry/src/main/resources/en_US/element/string.json new file mode 100644 index 0000000..f945955 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/resources/en_US/element/string.json @@ -0,0 +1,16 @@ +{ + "string": [ + { + "name": "module_desc", + "value": "module description" + }, + { + "name": "EntryAbility_desc", + "value": "description" + }, + { + "name": "EntryAbility_label", + "value": "label" + } + ] +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/main/resources/zh_CN/element/string.json b/machinelearning/machine_learning/entry/src/main/resources/zh_CN/element/string.json new file mode 100644 index 0000000..597ecf9 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/main/resources/zh_CN/element/string.json @@ -0,0 +1,16 @@ +{ + "string": [ + { + "name": "module_desc", + "value": "模块描述" + }, + { + "name": "EntryAbility_desc", + "value": "description" + }, + { + "name": "EntryAbility_label", + "value": "label" + } + ] +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/ohosTest/ets/test/Ability.test.ets b/machinelearning/machine_learning/entry/src/ohosTest/ets/test/Ability.test.ets new file mode 100644 index 0000000..8aa3749 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/ohosTest/ets/test/Ability.test.ets @@ -0,0 +1,35 @@ +import hilog from '@ohos.hilog'; +import { describe, beforeAll, beforeEach, afterEach, afterAll, it, expect } from '@ohos/hypium'; + +export default function abilityTest() { + describe('ActsAbilityTest', () => { + // Defines a test suite. Two parameters are supported: test suite name and test suite function. + beforeAll(() => { + // Presets an action, which is performed only once before all test cases of the test suite start. + // This API supports only one parameter: preset action function. + }) + beforeEach(() => { + // Presets an action, which is performed before each unit test case starts. + // The number of execution times is the same as the number of test cases defined by **it**. + // This API supports only one parameter: preset action function. + }) + afterEach(() => { + // Presets a clear action, which is performed after each unit test case ends. + // The number of execution times is the same as the number of test cases defined by **it**. + // This API supports only one parameter: clear action function. + }) + afterAll(() => { + // Presets a clear action, which is performed after all test cases of the test suite end. + // This API supports only one parameter: clear action function. + }) + it('assertContain', 0, () => { + // Defines a test case. This API supports three parameters: test case name, filter parameter, and test case function. + hilog.info(0x0000, 'testTag', '%{public}s', 'it begin'); + let a = 'abc'; + let b = 'b'; + // Defines a variety of assertion methods, which are used to declare expected boolean conditions. + expect(a).assertContain(b); + expect(a).assertEqual(a); + }) + }) +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/ohosTest/ets/test/List.test.ets b/machinelearning/machine_learning/entry/src/ohosTest/ets/test/List.test.ets new file mode 100644 index 0000000..794c7dc --- /dev/null +++ b/machinelearning/machine_learning/entry/src/ohosTest/ets/test/List.test.ets @@ -0,0 +1,5 @@ +import abilityTest from './Ability.test'; + +export default function testsuite() { + abilityTest(); +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/ohosTest/ets/testability/TestAbility.ets b/machinelearning/machine_learning/entry/src/ohosTest/ets/testability/TestAbility.ets new file mode 100644 index 0000000..9484761 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/ohosTest/ets/testability/TestAbility.ets @@ -0,0 +1,50 @@ +import UIAbility from '@ohos.app.ability.UIAbility'; +import AbilityDelegatorRegistry from '@ohos.app.ability.abilityDelegatorRegistry'; +import hilog from '@ohos.hilog'; +import { Hypium } from '@ohos/hypium'; +import testsuite from '../test/List.test'; +import window from '@ohos.window'; +import Want from '@ohos.app.ability.Want'; +import AbilityConstant from '@ohos.app.ability.AbilityConstant'; + +export default class TestAbility extends UIAbility { + onCreate(want: Want, launchParam: AbilityConstant.LaunchParam) { + hilog.info(0x0000, 'testTag', '%{public}s', 'TestAbility onCreate'); + hilog.info(0x0000, 'testTag', '%{public}s', 'want param:' + JSON.stringify(want) ?? ''); + hilog.info(0x0000, 'testTag', '%{public}s', 'launchParam:' + JSON.stringify(launchParam) ?? ''); + let abilityDelegator: AbilityDelegatorRegistry.AbilityDelegator; + abilityDelegator = AbilityDelegatorRegistry.getAbilityDelegator(); + let abilityDelegatorArguments: AbilityDelegatorRegistry.AbilityDelegatorArgs; + abilityDelegatorArguments = AbilityDelegatorRegistry.getArguments(); + hilog.info(0x0000, 'testTag', '%{public}s', 'start run testcase!!!'); + Hypium.hypiumTest(abilityDelegator, abilityDelegatorArguments, testsuite); + } + + onDestroy() { + hilog.info(0x0000, 'testTag', '%{public}s', 'TestAbility onDestroy'); + } + + onWindowStageCreate(windowStage: window.WindowStage) { + hilog.info(0x0000, 'testTag', '%{public}s', 'TestAbility onWindowStageCreate'); + windowStage.loadContent('testability/pages/Index', (err, data) => { + if (err.code) { + hilog.error(0x0000, 'testTag', 'Failed to load the content. Cause: %{public}s', JSON.stringify(err) ?? ''); + return; + } + hilog.info(0x0000, 'testTag', 'Succeeded in loading the content. Data: %{public}s', + JSON.stringify(data) ?? ''); + }); + } + + onWindowStageDestroy() { + hilog.info(0x0000, 'testTag', '%{public}s', 'TestAbility onWindowStageDestroy'); + } + + onForeground() { + hilog.info(0x0000, 'testTag', '%{public}s', 'TestAbility onForeground'); + } + + onBackground() { + hilog.info(0x0000, 'testTag', '%{public}s', 'TestAbility onBackground'); + } +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/ohosTest/ets/testability/pages/Index.ets b/machinelearning/machine_learning/entry/src/ohosTest/ets/testability/pages/Index.ets new file mode 100644 index 0000000..423b427 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/ohosTest/ets/testability/pages/Index.ets @@ -0,0 +1,17 @@ +@Entry +@Component +struct Index { + @State message: string = 'Hello World'; + + build() { + Row() { + Column() { + Text(this.message) + .fontSize(50) + .fontWeight(FontWeight.Bold) + } + .width('100%') + } + .height('100%') + } +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/ohosTest/ets/testrunner/OpenHarmonyTestRunner.ets b/machinelearning/machine_learning/entry/src/ohosTest/ets/testrunner/OpenHarmonyTestRunner.ets new file mode 100644 index 0000000..917d27a --- /dev/null +++ b/machinelearning/machine_learning/entry/src/ohosTest/ets/testrunner/OpenHarmonyTestRunner.ets @@ -0,0 +1,47 @@ +import hilog from '@ohos.hilog'; +import TestRunner from '@ohos.application.testRunner'; +import AbilityDelegatorRegistry from '@ohos.app.ability.abilityDelegatorRegistry'; +import Want from '@ohos.app.ability.Want'; + +let abilityDelegator: AbilityDelegatorRegistry.AbilityDelegator | undefined = undefined +let abilityDelegatorArguments: AbilityDelegatorRegistry.AbilityDelegatorArgs | undefined = undefined + +async function onAbilityCreateCallback() { + hilog.info(0x0000, 'testTag', '%{public}s', 'onAbilityCreateCallback'); +} + +async function addAbilityMonitorCallback(err : Error) { + hilog.info(0x0000, 'testTag', 'addAbilityMonitorCallback : %{public}s', JSON.stringify(err) ?? ''); +} + +export default class OpenHarmonyTestRunner implements TestRunner { + constructor() { + } + + onPrepare() { + hilog.info(0x0000, 'testTag', '%{public}s', 'OpenHarmonyTestRunner OnPrepare '); + } + + async onRun() { + hilog.info(0x0000, 'testTag', '%{public}s', 'OpenHarmonyTestRunner onRun run'); + abilityDelegatorArguments = AbilityDelegatorRegistry.getArguments() + abilityDelegator = AbilityDelegatorRegistry.getAbilityDelegator() + const bundleName = abilityDelegatorArguments.bundleName; + const testAbilityName = 'TestAbility'; + let lMonitor: AbilityDelegatorRegistry.AbilityMonitor = { + abilityName: testAbilityName, + onAbilityCreate: onAbilityCreateCallback, + }; + abilityDelegator.addAbilityMonitor(lMonitor, addAbilityMonitorCallback) + const want: Want = { + bundleName: bundleName, + abilityName: testAbilityName + }; + abilityDelegator = AbilityDelegatorRegistry.getAbilityDelegator(); + abilityDelegator.startAbility(want, (err, data) => { + hilog.info(0x0000, 'testTag', 'startAbility : err : %{public}s', JSON.stringify(err) ?? ''); + hilog.info(0x0000, 'testTag', 'startAbility : data : %{public}s',JSON.stringify(data) ?? ''); + }) + hilog.info(0x0000, 'testTag', '%{public}s', 'OpenHarmonyTestRunner onRun end'); + } +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/ohosTest/module.json5 b/machinelearning/machine_learning/entry/src/ohosTest/module.json5 new file mode 100644 index 0000000..4fc9701 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/ohosTest/module.json5 @@ -0,0 +1,37 @@ +{ + "module": { + "name": "entry_test", + "type": "feature", + "description": "$string:module_test_desc", + "mainElement": "TestAbility", + "deviceTypes": [ + "default", + "tablet" + ], + "deliveryWithInstall": true, + "installationFree": false, + "pages": "$profile:test_pages", + "abilities": [ + { + "name": "TestAbility", + "srcEntry": "./ets/testability/TestAbility.ets", + "description": "$string:TestAbility_desc", + "icon": "$media:icon", + "label": "$string:TestAbility_label", + "exported": true, + "startWindowIcon": "$media:icon", + "startWindowBackground": "$color:start_window_background", + "skills": [ + { + "actions": [ + "action.system.home" + ], + "entities": [ + "entity.system.home" + ] + } + ] + } + ] + } +} diff --git a/machinelearning/machine_learning/entry/src/ohosTest/resources/base/element/color.json b/machinelearning/machine_learning/entry/src/ohosTest/resources/base/element/color.json new file mode 100644 index 0000000..3c71296 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/ohosTest/resources/base/element/color.json @@ -0,0 +1,8 @@ +{ + "color": [ + { + "name": "start_window_background", + "value": "#FFFFFF" + } + ] +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/ohosTest/resources/base/element/string.json b/machinelearning/machine_learning/entry/src/ohosTest/resources/base/element/string.json new file mode 100644 index 0000000..65d8fa5 --- /dev/null +++ b/machinelearning/machine_learning/entry/src/ohosTest/resources/base/element/string.json @@ -0,0 +1,16 @@ +{ + "string": [ + { + "name": "module_test_desc", + "value": "test ability description" + }, + { + "name": "TestAbility_desc", + "value": "the test ability" + }, + { + "name": "TestAbility_label", + "value": "test label" + } + ] +} \ No newline at end of file diff --git a/machinelearning/machine_learning/entry/src/ohosTest/resources/base/media/icon.png b/machinelearning/machine_learning/entry/src/ohosTest/resources/base/media/icon.png new file mode 100644 index 0000000000000000000000000000000000000000..ce307a8827bd75456441ceb57d530e4c8d45d36c GIT binary patch literal 6790 zcmX|G1ymHk)?T_}Vd;>R?p|tHQo6fg38|$UVM!6BLrPFWk?s;$LOP{GmJpBl$qoSA!PUg~PA65-S00{{S`XKG6NkG0RgjEntPrmV+?0|00mu7;+5 zrdpa{2QLqPJ4Y{j7=Mrl{BaxrkdY69+c~(w{Fv-v&aR%aEI&JYSeRTLWm!zbv;?)_ ziZB;fwGbbeL5Q}YLx`J$lp~A09KK8t_z}PZ=4ZzgdeKtgoc+o5EvN9A1K1_<>M?MBqb#!ASf&# zEX?<)!RH(7>1P+j=jqG(58}TVN-$psA6K}atCuI!KTJD&FMmH-78ZejBm)0qc{ESp z|LuG1{QnBUJRg_E=h1#XMWt2%fcoN@l7eAS!Es?Q+;XsRNPhiiE=@AqlLkJzF`O18 zbsbSmKN=aaq8k3NFYZfDWpKmM!coBU0(XnL8R{4=i|wi{!uWYM2je{U{B*K2PVdu&=E zTq*-XsEsJ$u5H4g6DIm2Y!DN`>^v|AqlwuCD;w45K0@eqauiqWf7l&o)+YLHm~|L~ z7$0v5mkobriU!H<@mVJHLlmQqzQ3d6Rh_-|%Yy2li*tHO>_vcnuZ7OR_xkAIuIU&x z-|8Y0wj|6|a6_I(v91y%k_kNw6pnkNdxjqG8!%Vz_d%c_!X+6-;1`GC9_FpjoHev5fEV7RhJ>r=mh-jp$fqbqRJ=obwdgLDVP5+s zy1=_DWG0Y-Jb3t^WXmkr(d9~08k-|#Ly zaNOmT(^9tIb&eb4%CzIT zAm3CUtWSr1t4?h1kk#NBi{U|pJslvME{q|_eS^3En>SOqSxyuN1x;Is@8~m?*>}** znrRFArP!K_52RpX*&JHMR<^lVdm8ypJ}0R(SD(51j;6@ni$6bQ+2XL+R^|NnSp5}(kzvMZ^(@4fD_{QVu$(&K6H|C37TG1Am9Re{<<3gd zh@`>;BqkXMW&p0T6rt|iB$)~CvFe(XC)F9WgAZn*0@t$oZo;!*}r@_`h?KKH&6A@3= zISXoQB+~`op>NP-buiA*^0n{@i{_?MRG)&k)c)k_F+-2Lud!S9pc+i`s74NpBCaGF zXN+pHkubw*msGBTY27BKHv)RRh3;nMg4&$fD_6X9Vt~;_4D+5XPH~#Kn-yjcy!$}1 zigv#FNY>TqMhtIBb@UoF!cE~Q8~;!Pek>SQQwHnHuWKoVBosAiOr}q>!>aE*Krc)V zBUMEcJ5NU0g8}-h6i1zpMY9>m4ne?=U2~`w7K7Q0gB_=p@$5K7p6}thw z-~3dMj?YNX2X$lZ+7ngQ$=s}3mizNN@kE%OtB)?c&i~2L55z8^=yz;xMHLmlY>&Q# zJj?!)M#q_SyfkQh)k?j8IfLtB)ZCp|*vf4_B zos?73yd^h-Ac+;?E4*bpf=o*^3x3-`TVjbY4n6!EN10K6o@fxdyps05Vo3PU)otB} z`3kR+2w7_C#8Z!q`J)p{Vh!+m9-UP!$STp+Hb}}#@#_u^SsUQg<}59< zTvH3%XS4G+6FF^(m6bVF&nSUIXcl;nw{=H$%fgeJ>CgDYiLdpDXr{;-AnG z8dvcrHYVMI&`R6;GWekI@Ir3!uo)oz4^{6q0m^}@f2tM9&=YHNi6-?rh0-{+k@cQm zdp`g#YdQn%MDVg2GR>wZ`n2<0l4)9nx1Wfr&!Dvz=bPwU!h2S?ez6MVc5APE4-xLB zi&W9Q8k2@0w!C53g?iAIQ}~p*3O(@zja6KQ=M3zfW*_6o5SwR-)6VBh~m7{^-=MC-owYH5-u40a}a0liho3QZZ5L{bS_xM1)4}19)zTU$$MY zq3eZML1WC{K%YFd`Be0M-rkO^l?h{kM{$2oK1*A@HVJ57*yhDkUF!2WZ&oA4Y-sK( zCY69%#`mBCi6>6uw(x4gbFaP0+FD*JKJ-q!F1E?vLJ+d35!I5d7@^eU?(CS|C^tmI5?lv@s{{*|1F zFg|OzNpZ0hxljdjaW%45O0MOttRrd(Z?h{HYbB-KFUx&9GfFL3b8NwZ$zNu)WbBD` zYkj$^UB5%3Pj1MDr>S2Ejr9pUcgA!;ZG!@{uAy12)vG=*^9-|dNQBc8&`oxBlU~#y zs!anJX&T?57Jdr^sb>e+V`MVfY>Y0ESg7MG<7W0g&bR-ZYzzZ%2H&Etcp zcd6QeXO1D!5A#zM0lx*GH}`M)2~ZFLE;sP^RSB5wVMNfiZXPd(cmO>j=OSA3`o5r& zna(|^jGXbdN7PK)U8b7^zYtYkkeb%<%F~=OqB~kXMQkq}ii|skh@WSRt>5za;cjP0 zZ~nD%6)wzedqE}BMLt~qKwlvTr33))#uP~xyw#*Eaa|DbMQ_%mG0U8numf8)0DX`r zRoG2bM;#g|p-8gWnwRV5SCW0tLjLO&9Z?K>FImeIxlGUgo0Zk`9Qzhj1eco~7XZy+hXc@YF&ZQ=? 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This API supports three parameters: test case name, filter parameter, and test case function. + let a = 'abc'; + let b = 'b'; + // Defines a variety of assertion methods, which are used to declare expected boolean conditions. + expect(a).assertContain(b); + expect(a).assertEqual(a); + }); + }); +} \ No newline at end of file diff --git a/machinelearning/machine_learning/hvigor/hvigor-config.json5 b/machinelearning/machine_learning/hvigor/hvigor-config.json5 new file mode 100644 index 0000000..1a47490 --- /dev/null +++ b/machinelearning/machine_learning/hvigor/hvigor-config.json5 @@ -0,0 +1,18 @@ +{ + "hvigorVersion": "3.0.9", + "dependencies": { + "@ohos/hvigor-ohos-plugin": "3.0.9" + }, + "execution": { + // "daemon": true, /* Enable daemon compilation. Default: true */ + // "incremental": true, /* Enable incremental compilation. Default: true */ + // "parallel": true, /* Enable parallel compilation. Default: true */ + // "typeCheck": false, /* Enable typeCheck. 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Configure the npmrc file first.");const r=s.resolve(`${t.stdout}`.replace(/[\r\n]/gi,""),".npmrc");(0,f.isFileExists)(r)||(0,d.logErrorAndExit)("Error: The hvigor depends on the npmrc file. Configure the npmrc file first.")},t.environmentHandler=function(){process.env["npm_config_update-notifier"]="false"},t.isPnpmInstalled=function(){return!!a.existsSync(B.HVIGOR_WRAPPER_PNPM_SCRIPT_PATH)&&(0,f.hasNpmPackInPaths)("pnpm",[B.HVIGOR_WRAPPER_TOOLS_HOME])},t.executeInstallPnpm=function(){(0,d.logInfoPrintConsole)(`Installing pnpm@${t.PNPM_VERSION}...`);const u=(0,f.getNpmPath)();!function(){const u=s.resolve(B.HVIGOR_WRAPPER_TOOLS_HOME,B.DEFAULT_PACKAGE_JSON);try{a.existsSync(B.HVIGOR_WRAPPER_TOOLS_HOME)||a.mkdirSync(B.HVIGOR_WRAPPER_TOOLS_HOME,{recursive:!0});const D={dependencies:{}};D.dependencies[B.PNPM]=t.PNPM_VERSION,a.writeFileSync(u,JSON.stringify(D))}catch(D){(0,d.logErrorAndExit)(`Error: EPERM: operation not permitted,create ${u} failed.`)}}(),(0,f.executeCommand)(u,["install","pnpm"],{cwd:B.HVIGOR_WRAPPER_TOOLS_HOME,stdio:["inherit","inherit","inherit"],env:process.env}),(0,d.logInfoPrintConsole)("Pnpm install success.")}}(Gu),function(){Gu.checkNpmConifg(),Gu.environmentHandler(),Gu.isPnpmInstalled()||Gu.executeInstallPnpm();const D=gu();_(u.join(D,i.WORK_SPACE))}(); \ No newline at end of file diff --git a/machinelearning/machine_learning/hvigorfile.ts b/machinelearning/machine_learning/hvigorfile.ts new file mode 100644 index 0000000..f3cb9f1 --- /dev/null +++ b/machinelearning/machine_learning/hvigorfile.ts @@ -0,0 +1,6 @@ +import { appTasks } from '@ohos/hvigor-ohos-plugin'; + +export default { + system: appTasks, /* Built-in plugin of Hvigor. It cannot be modified. */ + plugins:[] /* Custom plugin to extend the functionality of Hvigor. */ +} diff --git a/machinelearning/machine_learning/hvigorw b/machinelearning/machine_learning/hvigorw new file mode 100644 index 0000000..ff6a29a --- /dev/null +++ b/machinelearning/machine_learning/hvigorw @@ -0,0 +1,48 @@ +#!/bin/bash + +# ---------------------------------------------------------------------------- +# Hvigor startup script, version 1.0.0 +# +# Required ENV vars: +# ------------------ +# NODE_HOME - location of a Node home dir +# or +# Add /usr/local/nodejs/bin to the PATH environment variable +# ---------------------------------------------------------------------------- + +HVIGOR_APP_HOME="`pwd -P`" +HVIGOR_WRAPPER_SCRIPT=${HVIGOR_APP_HOME}/hvigor/hvigor-wrapper.js +warn() { + echo "" + echo -e "\033[1;33m`date '+[%Y-%m-%d %H:%M:%S]'`$@\033[0m" +} + +error() { + echo "" + echo -e "\033[1;31m`date '+[%Y-%m-%d %H:%M:%S]'`$@\033[0m" +} + +fail() { + error "$@" + exit 1 +} + +# Determine node to start hvigor wrapper script +if [ -n "${NODE_HOME}" ];then + EXECUTABLE_NODE="${NODE_HOME}/bin/node" + if [ ! -x "$EXECUTABLE_NODE" ];then + fail "ERROR: NODE_HOME is set to an invalid directory,check $NODE_HOME\n\nPlease set NODE_HOME in your environment to the location where your nodejs installed" + fi +else + EXECUTABLE_NODE="node" + which ${EXECUTABLE_NODE} > /dev/null 2>&1 || fail "ERROR: NODE_HOME is not set and not 'node' command found in your path" +fi + +# Check hvigor wrapper script +if [ ! -r "$HVIGOR_WRAPPER_SCRIPT" ];then + fail "ERROR: Couldn't find hvigor/hvigor-wrapper.js in ${HVIGOR_APP_HOME}" +fi + +# start hvigor-wrapper script +exec "${EXECUTABLE_NODE}" \ + "${HVIGOR_WRAPPER_SCRIPT}" "$@" diff --git a/machinelearning/machine_learning/hvigorw.bat b/machinelearning/machine_learning/hvigorw.bat new file mode 100644 index 0000000..d570007 --- /dev/null +++ b/machinelearning/machine_learning/hvigorw.bat @@ -0,0 +1,64 @@ +@if "%DEBUG%" == "" @echo off +@rem ########################################################################## +@rem +@rem Hvigor startup script for Windows +@rem +@rem ########################################################################## + +@rem Set local scope for the variables with windows NT shell +if "%OS%"=="Windows_NT" setlocal + +set DIRNAME=%~dp0 +if "%DIRNAME%" == "" set DIRNAME=. +set APP_BASE_NAME=%~n0 +set APP_HOME=%DIRNAME% + +@rem Resolve any "." and ".." in APP_HOME to make it shorter. +for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi + +set WRAPPER_MODULE_PATH=%APP_HOME%\hvigor\hvigor-wrapper.js +set NODE_EXE=node.exe + +goto start + +:start +@rem Find node.exe +if defined NODE_HOME goto findNodeFromNodeHome + +%NODE_EXE% --version >NUL 2>&1 +if "%ERRORLEVEL%" == "0" goto execute + +echo. +echo ERROR: NODE_HOME is not set and no 'node' command could be found in your PATH. +echo. +echo Please set the NODE_HOME variable in your environment to match the +echo location of your NodeJs installation. + +goto fail + +:findNodeFromNodeHome +set NODE_HOME=%NODE_HOME:"=% +set NODE_EXE_PATH=%NODE_HOME%/%NODE_EXE% + +if exist "%NODE_EXE_PATH%" goto execute +echo. +echo ERROR: NODE_HOME is not set and no 'node' command could be found in your PATH. +echo. +echo Please set the NODE_HOME variable in your environment to match the +echo location of your NodeJs installation. + +goto fail + +:execute +@rem Execute hvigor +"%NODE_EXE%" "%WRAPPER_MODULE_PATH%" %* + +if "%ERRORLEVEL%" == "0" goto hvigorwEnd + +:fail +exit /b 1 + +:hvigorwEnd +if "%OS%" == "Windows_NT" endlocal + +:end diff --git a/machinelearning/machine_learning/local.properties b/machinelearning/machine_learning/local.properties new file mode 100644 index 0000000..063bbc0 --- /dev/null +++ b/machinelearning/machine_learning/local.properties @@ -0,0 +1,9 @@ +# This file is automatically generated by DevEco Studio. +# Do not modify this file -- YOUR CHANGES WILL BE ERASED! +# +# This file should *NOT* be checked into Version Control Systems, +# as it contains information specific to your local configuration. +# +# For customization when using a Version Control System, please read the header note. +sdk.dir=F:/Huawei/SDK2 +nodejs.dir=F:/Huawei/node \ No newline at end of file diff --git a/machinelearning/machine_learning/oh-package-lock.json5 b/machinelearning/machine_learning/oh-package-lock.json5 new file mode 100644 index 0000000..347b43f --- /dev/null +++ b/machinelearning/machine_learning/oh-package-lock.json5 @@ -0,0 +1,13 @@ +{ + "lockfileVersion": 1, + "ATTENTION": "THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.", + "specifiers": { + "@ohos/hypium@1.0.11": "@ohos/hypium@1.0.11" + }, + "packages": { + "@ohos/hypium@1.0.11": { + "resolved": "https://ohpm.openharmony.cn/ohpm/@ohos/hypium/-/hypium-1.0.11.tgz", + "integrity": "sha512-KawcLnv43C3QIYv1UbDnKCFX3MohtDxGuFvzlUxT/qf2DBilR56Ws6zrj90LdH6PjloJQwOPESuBQIHBACAK7w==" + } + } +} \ No newline at end of file diff --git a/machinelearning/machine_learning/oh-package.json5 b/machinelearning/machine_learning/oh-package.json5 new file mode 100644 index 0000000..ccf174e --- /dev/null +++ b/machinelearning/machine_learning/oh-package.json5 @@ -0,0 +1,12 @@ +{ + "license": "", + "devDependencies": { + "@ohos/hypium": "1.0.11" + }, + "author": "", + "name": "machinelearning", + "description": "Please describe the basic information.", + "main": "", + "version": "1.0.0", + "dependencies": {} +} diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/LICENSE b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/LICENSE new file mode 100644 index 0000000..4947287 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/LICENSE @@ -0,0 +1,177 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. 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Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/README.md b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/README.md new file mode 100644 index 0000000..762e757 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/README.md @@ -0,0 +1,219 @@ +
Hypium
+
A unit test framework for OpenHarmonyOS application
+ +## Hypium是什么? +*** +- Hypium是OpenHarmony上的测试框架，提供测试用例编写、执行、结果显示能力，用于OpenHarmony系统应用接口以及应用界面测试。 +- Hypium结构化模型：hypium工程主要由List.test.js与TestCase.test.js组成。 +``` +rootProject // Hypium工程根目录 +├── moduleA +│   ├── src +│      ├── main // 被测试应用目录 +│      ├── ohosTest // 测试用例目录 +│         ├── js/ets +│            └── test +│               └── List.test.js // 测试用例加载脚本，ets目录下为.ets后缀 +│               └── TestCase.test.js // 测试用例脚本，ets目录下为.ets后缀 +└── moduleB + ... +│               └── List.test.js // 测试用例加载脚本，ets目录下为.ets后缀 +│               └── TestCase.test.js // 测试用例脚本，ets目录下为.ets后缀 +``` + +## 安装使用 +*** +- 在DevEco Studio内使用Hypium +- 工程级package.json内配置: +```json +"dependencies": { + "@ohos/hypium": "1.0.7" +} +``` +注： +hypium服务于OpenHarmonyOS应用对外接口测试、系统对外接口测试（SDK中接口），完成HAP自动化测试。详细指导： +[Deveco Studio](https://developer.harmonyos.com/cn/develop/deveco-studio) + +#### 通用语法 + +- 测试用例采用业内通用语法，describe代表一个测试套， it代表一条用例。 + +| No. | API | 功能说明 | +| --- | ---------- | ---------------------------------------------------------------------------------------------------------------------- | +| 1 | describe | 定义一个测试套，支持两个参数：测试套名称和测试套函数 | +| 2 | beforeAll | 在测试套内定义一个预置条件，在所有测试用例开始前执行且仅执行一次，支持一个参数：预置动作函数 | +| 3 | beforeEach | 在测试套内定义一个单元预置条件，在每条测试用例开始前执行，执行次数与it定义的测试用例数一致，支持一个参数：预置动作函数 | +| 4 | afterEach | 在测试套内定义一个单元清理条件，在每条测试用例结束后执行，执行次数与it定义的测试用例数一致，支持一个参数：清理动作函数 | +| 5 | afterAll | 在测试套内定义一个清理条件，在所有测试用例结束后执行且仅执行一次，支持一个参数：清理动作函数 | +| 6 | it | 定义一条测试用例，支持三个参数：用例名称，过滤参数和用例函数 | +| 7 | expect | 支持bool类型判断等多种断言方法 | + +#### 断言库 + +- 示例代码： + +```javascript + expect(${actualvalue}).assertX(${expectvalue}) +``` + +- 断言功能列表： + +| No. | API | 功能说明 | +| :--- | :------------------------------- | ---------------------------------------------------------------------------------------------- | +| 1 | assertClose | 检验actualvalue和expectvalue(0)的接近程度是否是expectValue(1) | +| 2 | assertContain | 检验actualvalue中是否包含expectvalue | +| 3 | assertDeepEquals | @since1.0.4 检验actualvalue和expectvalue(0)是否是同一个对象 | +| 4 | assertEqual | 检验actualvalue是否等于expectvalue[0] | +| 5 | assertFail | 抛出一个错误 | +| 6 | assertFalse | 检验actualvalue是否是false | +| 7 | assertTrue | 检验actualvalue是否是true | +| 8 | assertInstanceOf | 检验actualvalue是否是expectvalue类型 | +| 9 | assertLarger | 检验actualvalue是否大于expectvalue | +| 10 | assertLess | 检验actualvalue是否小于expectvalue | +| 11 | assertNaN | @since1.0.4 检验actualvalue是否是NaN | +| 12 | assertNegUnlimited | @since1.0.4 检验actualvalue是否等于Number.NEGATIVE_INFINITY | +| 13 | assertNull | 检验actualvalue是否是null | +| 14 | assertPosUnlimited | @since1.0.4 检验actualvalue是否等于Number.POSITIVE_INFINITY | +| 15 | assertPromiseIsPending | @since1.0.4 检验actualvalue是否处于Pending状态【actualvalue为promse对象】 | +| 16 | assertPromiseIsRejected | @since1.0.4 检验actualvalue是否处于Rejected状态【同15】 | +| 17 | assertPromiseIsRejectedWith | @since1.0.4 检验actualvalue是否处于Rejected状态，并且比较执行的结果值【同15】 | +| 18 | assertPromiseIsRejectedWithError | @since1.0.4 检验actualvalue是否处于Rejected状态并有异常，同时比较异常的类型和message值【同15】 | +| 19 | assertPromiseIsResolved | @since1.0.4 检验actualvalue是否处于Resolved状态【同15】 | +| 20 | assertPromiseIsResolvedWith | @since1.0.4 检验actualvalue是否处于Resolved状态，并且比较执行的结果值【同15】 | +| 21 | assertThrowError | 检验actualvalue抛出Error内容是否是expectValue | +| 22 | assertUndefined | 检验actualvalue是否是undefined | +| 23 | not | @since1.0.4 断言结果取反 | + + + 示例代码： + +```javascript + import { describe, it, expect } from '@ohos/hypium'; + + export default async function assertCloseTest() { + describe('assertClose', function () { + it('assertClose_success', 0, function () { + let a = 100; + let b = 0.1; + expect(a).assertClose(99, b); + }) + }) + } +``` + +#### 公共系统能力 + +| No. | API | 功能描述 | +| ---- | ------------------------------------------------------- | ------------------------------------------------------------ | +| 1 | existKeyword(keyword: string, timeout: number): boolean | @since1.0.3 hilog日志中查找指定字段是否存在，keyword是待查找关键字，timeout为设置的查找时间 | +| 2 | actionStart(tag: string): void | @since1.0.3 cmd窗口输出开始tag | +| 3 | actionEnd(tag: string): void | @since1.0.3 cmd窗口输出结束tag | + + 示例代码： + +```javascript +import { describe, it, expect, SysTestKit} from '@ohos/hypium'; + +export default function existKeywordTest() { + describe('existKeywordTest', function () { + it('existKeyword',DEFAULT, async function () { + console.info("HelloTest"); + let isExist = await SysTestKit.existKeyword('HelloTest'); + console.info('isExist ------>' + isExist); + }) + }) +} +``` +```javascript +import { describe, it, expect, SysTestKit} from '@ohos/hypium'; + +export default function actionTest() { + describe('actionTest', function () { + it('existKeyword',DEFAULT, async function () { + let tag = '[MyTest]'; + SysTestKit.actionStart(tag); + //do something + SysTestKit.actionEnd(tag); + }) + }) +} +``` + +#### 专项能力 + +- 测试用例属性筛选能力：hypium支持根据用例属性筛选执行指定测试用例，使用方式是先在测试用例上标记用例属性后，再在测试应用的启动shell命令后新增" -s ${Key} ${Value}"。 + +| Key | 含义说明 | Value取值范围 | +| -------- | ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------ | +| level | 用例级别 | "0","1","2","3","4", 例如：-s level 1 | +| size | 用例粒度 | "small","medium","large", 例如：-s size small | +| testType | 用例测试类型 | "function","performance","power","reliability","security","global","compatibility","user","standard","safety","resilience", 例如：-s testType function | + + 示例代码 + +```javascript +import { describe, it, expect, TestType, Size, Level } from '@ohos/hypium'; + +export default function attributeTest() { + describe('attributeTest', function () { + it("testAttributeIt", TestType.FUNCTION | Size.SMALLTEST | Level.LEVEL0, function () { + console.info('Hello Test'); + }) + }) +} +``` + + 示例命令 +```shell +XX -s level 1 -s size small -s testType function +``` +该命令的作用是：筛选测试应用中同时满足a）用例级别是1 b）用例粒度是small c）用例测试类型是function 三个条件的用例执行。 + +- 测试套/测试用例名称筛选能力（测试套与用例名称用“#”号连接，多个用“,”英文逗号分隔） + +| Key | 含义说明 | Value取值范围 | +| -------- | ----------------------- | -------------------------------------------------------------------------------------------- | +| class | 指定要执行的测试套&用例 | ${describeName}#${itName}，${describeName} , 例如：-s class attributeTest#testAttributeIt | +| notClass | 指定不执行的测试套&用例 | ${describeName}#${itName}，${describeName} , 例如：-s notClass attributeTest#testAttributeIt | + + 示例命令 +```shell +XX -s class attributeTest#testAttributeIt,abilityTest#testAbilityIt +``` +该命令的作用是：筛选测试应用中attributeTest测试套下的testAttributeIt测试用例，abilityTest测试套下的testAbilityIt测试用例，只执行这两条用例。 + +- 其他能力 + +| 能力项 | Key | 含义说明 | Value取值范围 | +| ------------ | ------- | ---------------------------- | ---------------------------------------------- | +| 随机执行能力 | random | 测试套&测试用例随机执行 | true, 不传参默认为false， 例如：-s random true | +| 空跑能力 | dryRun | 显示要执行的测试用例信息全集 | true , 不传参默认为false，例如：-s dryRun true | +| 异步超时能力 | timeout | 异步用例执行的超时时间 | 正整数 , 单位ms，例如：-s timeout 5000 | + +##### 约束限制 +随机执行能力和空跑能力从npm包1.0.3版本开始支持 + +#### Mock能力 + +##### 约束限制 + +单元测试框架Mock能力从npm包[1.0.1版本](https://repo.harmonyos.com/#/cn/application/atomService/@ohos%2Fhypium/v/1.0.1)开始支持 + +## 约束 + +*** + 本模块首批接口从OpenHarmony SDK API version 8开始支持。 + +## Hypium开放能力隐私声明 + +- 我们如何收集和使用您的个人信息 + 您在使用集成了Hypium开放能力的测试应用时，Hypium不会处理您的个人信息。 +- SDK处理的个人信息 + 不涉及。 +- SDK集成第三方服务声明 + 不涉及。 +- SDK数据安全保护 + 不涉及。 +- SDK版本更新声明 + 为了向您提供最新的服务，我们会不时更新Hypium版本。我们强烈建议开发者集成使用最新版本的Hypium。 + diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/index.d.ts b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/index.d.ts new file mode 100644 index 0000000..8a501ef --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/index.d.ts @@ -0,0 +1,140 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +export const DEFAULT = 0B0000 + +export const when: when; + +export enum TestType { + FUNCTION = 0B1, + PERFORMANCE = 0B1 << 1, + POWER = 0B1 << 2, + RELIABILITY = 0B1 << 3, + SECURITY = 0B1 << 4, + GLOBAL = 0B1 << 5, + COMPATIBILITY = 0B1 << 6, + USER = 0B1 << 7, + STANDARD = 0B1 << 8, + SAFETY = 0B1 << 9, + RESILIENCE = 0B1 << 10 +} + +export enum Size { + SMALLTEST = 0B1 << 16, + MEDIUMTEST = 0B1 << 17, + LARGETEST = 0B1 << 18 +} + +export enum Level { + LEVEL0 = 0B1 << 24, + LEVEL1 = 0B1 << 25, + LEVEL2 = 0B1 << 26, + LEVEL3 = 0B1 << 27, + LEVEL4 = 0B1 << 28 +} + +export function describe(testSuiteName: string, callback: Function): void + +export function beforeItSpecified(testCaseNames: Array | string, callback: Function): void + +export function afterItSpecified(testCaseNames: Array | string, callback: Function): void + +export function beforeEach(callback: Function): void + +export function afterEach(callback: Function): void + +export function beforeAll(callback: Function): void + +export function afterAll(callback: Function): void + +export function it(testCaseName: string, attribute: (TestType | Size | Level), callback: Function) + +export interface Assert { + assertClose(expectValue: number, precision: number): void + assertContain(expectValue: any): void + assertEqual(expectValue: any): void + assertFail(): void + assertFalse(): void + assertTrue(): void + assertInstanceOf(expectValue: string): void + assertLarger(expectValue: number): void + assertLess(expectValue: number): void + assertNull(): void + assertThrowError(expectValue: string): void + assertUndefined(): void + assertLargerOrEqual(expectValue: number):void + assertLessOrEqual(expectValue: number):void + assertNaN():void + assertNegUnlimited(): void + assertPosUnlimited(): void + not(): Assert; + assertDeepEquals(expectValue: any):void + assertPromiseIsPending(): void + assertPromiseIsRejected(): void + assertPromiseIsRejectedWith(expectValue?: any): void + assertPromiseIsRejectedWithError(...expectValue): void + assertPromiseIsResolved(): void + assertPromiseIsResolvedWith(expectValue?: any): void +} + +export function expect(actualValue?: any): Assert + +export class ArgumentMatchers { + static any; + static anyString; + static anyBoolean; + static anyNumber; + static anyObj; + static anyFunction; + static matchRegexs(Regex: RegExp): void +} + +declare interface when { + afterReturn(value: any): any + afterReturnNothing(): undefined + afterAction(action: any): any + afterThrow(e_msg: string): string + (argMatchers?: any): when; +} + +export interface VerificationMode { + times(count: Number): void + never(): void + once(): void + atLeast(count: Number): void + atMost(count: Number): void +} + +export class MockKit { + constructor() + mockFunc(obj: Object, func: Function): Function + mockObject(obj: Object): Object + verify(methodName: String, argsArray: Array): VerificationMode + ignoreMock(obj: Object, func: Function): void + clear(obj: Object): void + clearAll(): void +} + +export class SysTestKit { + static actionStart(tag: string): void + static actionEnd(tag: string): void + static existKeyword(keyword: string, timeout?: number): boolean +} + +export class Hypium { + static setData(data: {[key: string]: any}): void + static setTimeConfig(systemTime: any) + static hypiumTest(abilityDelegator: any, abilityDelegatorArguments: any, testsuite: Function): void +} \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/index.ets b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/index.ets new file mode 100644 index 0000000..7e1796c --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/index.ets @@ -0,0 +1,79 @@ +/* + * Copyright (c) 2021-2023 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import Core from './src/main/core'; +import {ConfigService} from './src/main/module/config/configService' +import {DEFAULT, TestType, Size, Level, TAG} from './src/main/Constant'; +import DataDriver from './src/main/module/config/DataDriver'; +import ExpectExtend from './src/main/module/assert/ExpectExtend'; +import OhReport from './src/main/module/report/OhReport'; +import SysTestKit from './src/main/module/kit/SysTestKit'; +import {describe, beforeAll, beforeEach, afterEach, afterAll, it, expect, beforeItSpecified, afterItSpecified} from './src/main/interface'; +import {MockKit, when} from './src/main/module/mock/MockKit'; +import ArgumentMatchers from './src/main/module/mock/ArgumentMatchers'; + +class Hypium { + static setData(data:Object) { + const core:Core = Core.getInstance(); + const dataDriver:DataDriver = new DataDriver({data}); + core.addService('dataDriver', dataDriver); + } + + static setTimeConfig(systemTime:Object) { + SysTestKit.systemTime = systemTime; + } + + static hypiumTest(abilityDelegator:Object, abilityDelegatorArguments:Object, testsuite:Function) { + const core:Core = Core.getInstance(); + const expectExtend:ExpectExtend = new ExpectExtend({ + id: 'extend' + }); + core.addService('expect', expectExtend); + const ohReport:OhReport = new OhReport({ + delegator: abilityDelegator, + abilityDelegatorArguments: abilityDelegatorArguments + }); + SysTestKit.delegator = abilityDelegator; + core.addService('report', ohReport); + core.init(); + core.subscribeEvent('spec', ohReport); + core.subscribeEvent('suite', ohReport); + core.subscribeEvent('task', ohReport); + const configService:ConfigService = core.getDefaultService('config'); + if (abilityDelegatorArguments !== null) { + let testParameters:Object = configService.translateParams((abilityDelegatorArguments as Record).parameters); + console.info(`${TAG}parameters:${JSON.stringify(testParameters)}`); + configService.setConfig(testParameters); + } + testsuite(); + core.execute(abilityDelegator); + } +} + +export { + Hypium, + Core, + DEFAULT, + TestType, + Size, + Level, + DataDriver, + ExpectExtend, + OhReport, + SysTestKit, + describe, beforeAll, beforeEach, afterEach, afterAll, it, expect, beforeItSpecified, afterItSpecified, + MockKit, when, + ArgumentMatchers +}; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/index.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/index.js new file mode 100644 index 0000000..edecd8e --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/index.js @@ -0,0 +1,78 @@ +/* + * Copyright (c) 2021-2023 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import Core from './src/main/core'; +import {DEFAULT, TestType, Size, Level, TAG} from './src/main/Constant'; +import DataDriver from './src/main/module/config/DataDriver'; +import ExpectExtend from './src/main/module/assert/ExpectExtend'; +import OhReport from './src/main/module/report/OhReport'; +import SysTestKit from './src/main/module/kit/SysTestKit'; +import {describe, beforeAll, beforeEach, afterEach, afterAll, it, expect, beforeItSpecified, afterItSpecified} from './src/main/interface'; +import {MockKit, when} from './src/main/module/mock/MockKit'; +import ArgumentMatchers from './src/main/module/mock/ArgumentMatchers'; + +class Hypium { + static setData(data) { + const core = Core.getInstance(); + const dataDriver = new DataDriver({data}); + core.addService('dataDriver', dataDriver); + } + + static setTimeConfig(systemTime) { + SysTestKit.systemTime = systemTime; + } + + static hypiumTest(abilityDelegator, abilityDelegatorArguments, testsuite) { + const core = Core.getInstance(); + const expectExtend = new ExpectExtend({ + 'id': 'extend' + }); + core.addService('expect', expectExtend); + const ohReport = new OhReport({ + 'delegator': abilityDelegator, + 'abilityDelegatorArguments': abilityDelegatorArguments + }); + SysTestKit.delegator = abilityDelegator; + core.addService('report', ohReport); + core.init(); + core.subscribeEvent('spec', ohReport); + core.subscribeEvent('suite', ohReport); + core.subscribeEvent('task', ohReport); + const configService = core.getDefaultService('config'); + if (abilityDelegatorArguments !== null) { + let testParameters = configService.translateParams(abilityDelegatorArguments.parameters); + console.info(`${TAG}parameters:${JSON.stringify(testParameters)}`); + configService.setConfig(testParameters); + } + testsuite(); + core.execute(abilityDelegator); + } +} + +export { + Hypium, + Core, + DEFAULT, + TestType, + Size, + Level, + DataDriver, + ExpectExtend, + OhReport, + SysTestKit, + describe, beforeAll, beforeEach, afterEach, afterAll, it, expect, beforeItSpecified, afterItSpecified, + MockKit, when, + ArgumentMatchers +}; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/oh-package.json5 b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/oh-package.json5 new file mode 100644 index 0000000..30a5883 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/oh-package.json5 @@ -0,0 +1,11 @@ +{ + "name": "@ohos/hypium", + "version": "1.0.11", + "description": "A unit test framework for OpenHarmony application", + "main": "index.js", + "keywords": [], + "author": "huawei", + "license": "Apache-2.0", + "dependencies": { + } +} diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/Constant.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/Constant.js new file mode 100644 index 0000000..13f6849 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/Constant.js @@ -0,0 +1,49 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +/** + * define the testcase type : TestType, Size , Level + */ +export const TAG = '[Hypium]'; + +export const DEFAULT = 0B0000; + +export class TestType { + static FUNCTION = 0B1; + static PERFORMANCE = 0B1 << 1; + static POWER = 0B1 << 2; + static RELIABILITY = 0B1 << 3; + static SECURITY = 0B1 << 4; + static GLOBAL = 0B1 << 5; + static COMPATIBILITY = 0B1 << 6; + static USER = 0B1 << 7; + static STANDARD = 0B1 << 8; + static SAFETY = 0B1 << 9; + static RESILIENCE = 0B1 << 10; +} + +export class Size { + static SMALLTEST = 0B1 << 16; + static MEDIUMTEST = 0B1 << 17; + static LARGETEST = 0B1 << 18; +} + +export class Level { + static LEVEL0 = 0B1 << 24; + static LEVEL1 = 0B1 << 25; + static LEVEL2 = 0B1 << 26; + static LEVEL3 = 0B1 << 27; + static LEVEL4 = 0B1 << 28; +} diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/core.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/core.js new file mode 100644 index 0000000..cfcb5f1 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/core.js @@ -0,0 +1,159 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import {SuiteService, SpecService, ExpectService, ReportService} from './service'; +import {ConfigService} from './module/config/configService'; +import {SpecEvent, TaskEvent, SuiteEvent} from './event'; + +/** + * core service for execute testcase. + */ +class Core { + static getInstance() { + if (!this.instance) { + this.instance = new Core(); + } + return this.instance; + } + + constructor() { + this.instance = null; + this.services = { + suite: {}, + spec: {}, + config: {}, + expect: {}, + log: {}, + report: {} + + }; + this.events = { + suite: {}, + spec: {}, + task: {} + }; + } + + addService(name, service) { + let serviceObj = {}; + if (!this.services[name]) { + this.services[name] = serviceObj; + } else { + serviceObj = this.services[name]; + } + serviceObj[service.id] = service; + } + + getDefaultService(name) { + return this.services[name].default; + } + + getServices(name) { + return this.services[name]; + } + + registerEvent(serviceName, event) { + let eventObj = {}; + if (!this.events[serviceName]) { + this.events[serviceName] = eventObj; + } else { + eventObj = this.events[serviceName]; + } + eventObj[event.id] = event; + } + + unRegisterEvent(serviceName, eventID) { + const eventObj = this.events[serviceName]; + if (eventObj) { + delete eventObj[eventID]; + } + } + + subscribeEvent(serviceName, serviceObj) { + const eventObj = this.events[serviceName]; + if (eventObj) { + for (const attr in eventObj) { + eventObj[attr]['subscribeEvent'](serviceObj); + } + } + } + + async fireEvents(serviceName, eventName) { + const eventObj = this.events[serviceName]; + if (!eventObj) { + return; + } + for (const attr in eventObj) { + await eventObj[attr][eventName](); + } + } + + addToGlobal(apis) { + if (typeof globalThis !== 'undefined') { + for (let api in apis) { + globalThis[api] = apis[api]; + } + } + for (const api in apis) { + this[api] = apis[api]; + } + } + + init() { + this.addService('suite', new SuiteService({id: 'default'})); + this.addService('spec', new SpecService({id: 'default'})); + this.addService('expect', new ExpectService({id: 'default'})); + this.addService('report', new ReportService({id: 'default'})); + this.addService('config', new ConfigService({id: 'default'})); + this.registerEvent('task', new TaskEvent({id: 'default', coreContext: this})); + this.registerEvent('suite', new SuiteEvent({id: 'default', coreContext: this})); + this.registerEvent('spec', new SpecEvent({id: 'default', coreContext: this})); + this.subscribeEvent('spec', this.getDefaultService('report')); + this.subscribeEvent('suite', this.getDefaultService('report')); + this.subscribeEvent('task', this.getDefaultService('report')); + const context = this; + for (const key in this.services) { + const serviceObj = this.services[key]; + for (const serviceID in serviceObj) { + const service = serviceObj[serviceID]; + service.init(context); + + if (typeof service.apis !== 'function') { + continue; + } + const apis = service.apis(); + if (apis) { + this.addToGlobal(apis); + } + } + } + } + + execute(abilityDelegator) { + const suiteService = this.getDefaultService('suite'); + const configService = this.getDefaultService('config'); + if (configService['dryRun'] === 'true') { + (async function () { + await suiteService.dryRun(abilityDelegator); + })(); + return; + } + setTimeout(() => { + suiteService.execute(); + }, 10); + } +} + +export default Core; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/event.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/event.js new file mode 100644 index 0000000..1333a1c --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/event.js @@ -0,0 +1,94 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +class SpecEvent { + constructor(attr) { + this.id = attr.id; + this.coreContext = attr.context; + this.eventMonitors = []; + } + + subscribeEvent(service) { + this.eventMonitors.push(service); + } + + async specStart() { + for (const monitor of this.eventMonitors) { + await monitor['specStart'](); + } + } + + async specDone() { + for (const monitor of this.eventMonitors) { + await monitor['specDone'](); + } + } +} + +class SuiteEvent { + constructor(attr) { + this.id = attr.id; + this.suiteContext = attr.coreContext; + this.eventMonitors = []; + } + + subscribeEvent(service) { + this.eventMonitors.push(service); + } + + async suiteStart() { + for (const monitor of this.eventMonitors) { + await monitor['suiteStart'](); + } + } + + async suiteDone() { + for (const monitor of this.eventMonitors) { + await monitor['suiteDone'](); + } + } +} + +class TaskEvent { + constructor(attr) { + this.id = attr.id; + this.coreContext = attr.coreContext; + this.eventMonitors = []; + } + + subscribeEvent(service) { + this.eventMonitors.push(service); + } + + async taskStart() { + for (const monitor of this.eventMonitors) { + await monitor['taskStart'](); + } + } + + async taskDone() { + for (const monitor of this.eventMonitors) { + await monitor['taskDone'](); + } + } + + incorrectFormat() { + for (const monitor of this.eventMonitors) { + monitor['incorrectFormat'](); + } + } +} + +export {SpecEvent, TaskEvent, SuiteEvent}; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/interface.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/interface.js new file mode 100644 index 0000000..b5c185f --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/interface.js @@ -0,0 +1,51 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import Core from './core'; + +const core = Core.getInstance(); + +const describe = function (desc, func) { + return Reflect.has(core, 'describe') ? core.describe(desc, func) : (desc, func) => { }; +}; +const it = function (desc, filter, func) { + return Reflect.has(core, 'it') ? core.it(desc, filter, func) : (desc, filter, func) => { }; +}; +const beforeItSpecified = function (itDescs, func) { + return Reflect.has(core, 'beforeItSpecified') ? core.beforeItSpecified(itDescs, func) : (itDescs, func) => { }; +}; + +const afterItSpecified = function (itDescs, func) { + return Reflect.has(core, 'afterItSpecified') ? core.afterItSpecified(itDescs, func) : (itDescs, func) => { }; +}; +const beforeEach = function (func) { + return Reflect.has(core, 'beforeEach') ? core.beforeEach(func) : (func) => { }; +}; +const afterEach = function (func) { + return Reflect.has(core, 'afterEach') ? core.afterEach(func) : (func) => { }; +}; +const beforeAll = function (func) { + return Reflect.has(core, 'beforeAll') ? core.beforeAll(func) : (func) => { }; +}; +const afterAll = function (func) { + return Reflect.has(core, 'afterAll') ? core.afterAll(func) : (func) => { }; +}; +const expect = function (actualValue) { + return Reflect.has(core, 'expect') ? core.expect(actualValue) : (actualValue) => { }; +}; + +export { + describe, it, beforeAll, beforeEach, afterEach, afterAll, expect, beforeItSpecified, afterItSpecified +}; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/ExpectExtend.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/ExpectExtend.js new file mode 100644 index 0000000..d10d15e --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/ExpectExtend.js @@ -0,0 +1,85 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import assertNull from './assertNull'; +import assertClose from './assertClose'; +import assertContain from './assertContain'; +import assertLess from './assertLess'; +import assertLarger from './assertLarger'; +import assertFail from './assertFail'; +import assertUndefined from './assertUndefined'; +import assertFalse from './assertFalse'; +import assertInstanceOf from './assertInstanceOf'; +import assertThrowError from './assertThrowError'; +import assertLargerOrEqual from './assertLargerOrEqual' +import assertLessOrEqual from './assertLessOrEqual' +import assertNaN from './assertNaN' +import assertNegUnlimited from './assertNegUnlimited' +import assertPosUnlimited from './assertPosUnlimited' +import assertDeepEquals from './deepEquals/assertDeepEquals' +import assertPromiseIsPending from './assertPromiseIsPending'; +import assertPromiseIsRejected from './assertPromiseIsRejected'; +import assertPromiseIsRejectedWith from './assertPromiseIsRejectedWith'; +import assertPromiseIsRejectedWithError from './assertPromiseIsRejectedWithError'; +import assertPromiseIsResolved from './assertPromiseIsResolved'; +import assertPromiseIsResolvedWith from './assertPromiseIsResolvedWith'; +class ExpectExtend { + constructor(attr) { + this.id = attr.id; + this.matchers = {}; + } + + extendsMatchers() { + this.matchers.assertNull = assertNull; + this.matchers.assertClose = assertClose; + this.matchers.assertContain = assertContain; + this.matchers.assertLess = assertLess; + this.matchers.assertLarger = assertLarger; + this.matchers.assertFail = assertFail; + this.matchers.assertUndefined = assertUndefined; + this.matchers.assertFalse = assertFalse; + this.matchers.assertInstanceOf = assertInstanceOf; + this.matchers.assertThrowError = assertThrowError; + this.matchers.assertLargerOrEqual = assertLargerOrEqual; + this.matchers.assertLessOrEqual = assertLessOrEqual; + this.matchers.assertNaN = assertNaN; + this.matchers.assertNegUnlimited = assertNegUnlimited; + this.matchers.assertPosUnlimited = assertPosUnlimited; + this.matchers.assertDeepEquals = assertDeepEquals; + this.matchers.assertPromiseIsPending = assertPromiseIsPending; + this.matchers.assertPromiseIsRejected = assertPromiseIsRejected; + this.matchers.assertPromiseIsRejectedWith = assertPromiseIsRejectedWith; + this.matchers.assertPromiseIsRejectedWithError = assertPromiseIsRejectedWithError; + this.matchers.assertPromiseIsResolved = assertPromiseIsResolved; + this.matchers.assertPromiseIsResolvedWith = assertPromiseIsResolvedWith; + } + + init(coreContext) { + this.coreContext = coreContext; + this.extendsMatchers(); + const expectService = this.coreContext.getDefaultService('expect'); + expectService.addMatchers(this.matchers); + } + + apis() { + return { + 'expect': function (actualValue) { + return this.coreContext.getDefaultService('expect').expect(actualValue); + } + }; + } +} + +export default ExpectExtend; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertClose.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertClose.js new file mode 100644 index 0000000..63635be --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertClose.js @@ -0,0 +1,41 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertClose(actualValue, expected) { + console.log('expected:' + expected[0] + ',precision:' + expected[1]); + if (actualValue === null && expected[0] === null) { + throw new Error('actualValue and expected can not be both null!!!'); + } + let result; + let diff = Math.abs(expected[0] - actualValue); + let actualAbs = Math.abs(actualValue); + if ((actualAbs - 0) === 0) { + if ((diff - 0) === 0) { + result = true; + } else { + result = false; + } + } else if (diff / actualAbs < expected[1]) { + result = true; + } else { + result = false; + } + return { + pass: result, + message: '|' + actualValue + ' - ' + expected[0] + '|/' + actualValue + ' is not less than ' + expected[1] + }; +} + +export default assertClose; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertContain.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertContain.js new file mode 100644 index 0000000..7fba0d9 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertContain.js @@ -0,0 +1,35 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertContain(actualValue, expect) { + let result = false; + if (Object.prototype.toString.call(actualValue).indexOf('Array')) { + for (let i in actualValue) { + if (actualValue[i] == expect[0]) { + result = true; + } + } + } + let type = Object.prototype.toString.call(actualValue); + if (type === '[object String]') { + result = actualValue.indexOf(expect[0]) >= 0; + } + return { + pass: result, + message: 'expect false, ' + actualValue + ' do not have ' + expect[0] + }; +} + +export default assertContain; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertFail.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertFail.js new file mode 100644 index 0000000..8ab4ac5 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertFail.js @@ -0,0 +1,23 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertFail() { + return { + pass: false, + message: 'fail ' + }; +} + +export default assertFail; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertFalse.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertFalse.js new file mode 100644 index 0000000..c5008e9 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertFalse.js @@ -0,0 +1,23 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertFalse(actualValue) { + return { + pass: (actualValue) === false, + message: 'expect false, actualValue is ' + actualValue + }; +} + +export default assertFalse; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertInstanceOf.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertInstanceOf.js new file mode 100644 index 0000000..1e11b93 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertInstanceOf.js @@ -0,0 +1,29 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertInstanceOf(actualValue, expected) { + if (Object.prototype.toString.call(actualValue) == '[object ' + expected[0] + ']') { + return { + pass: true + }; + } else { + return { + pass: false, + message: actualValue + ' is ' + Object.prototype.toString.call(actualValue) + 'not ' + expected[0] + }; + } +} + +export default assertInstanceOf; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLarger.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLarger.js new file mode 100644 index 0000000..a74f4a8 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLarger.js @@ -0,0 +1,23 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertLarger(actualValue, expected) { + return { + pass: (actualValue) > expected[0], + message: (actualValue) + ' is not larger than ' + expected[0] + }; +} + +export default assertLarger; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLargerOrEqual.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLargerOrEqual.js new file mode 100644 index 0000000..e847e6c --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLargerOrEqual.js @@ -0,0 +1,23 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertLargerOrEqual(actualValue, expected) { + return { + pass: (actualValue) >= expected[0], + message: (actualValue) + ' is not larger than ' + expected[0] + }; +} + +export default assertLargerOrEqual; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLess.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLess.js new file mode 100644 index 0000000..17e84b0 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLess.js @@ -0,0 +1,23 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertLess(actualValue, expected) { + return { + pass: (actualValue) < expected[0], + message: (actualValue) + ' is not less than ' + expected[0] + }; +} + +export default assertLess; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLessOrEqual.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLessOrEqual.js new file mode 100644 index 0000000..f754f97 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertLessOrEqual.js @@ -0,0 +1,23 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertLessOrEqual(actualValue, expected) { + return { + pass: (actualValue) <= expected[0], + message: (actualValue) + ' is not less than ' + expected[0] + }; +} + +export default assertLessOrEqual; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertNaN.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertNaN.js new file mode 100644 index 0000000..8d45d6a --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertNaN.js @@ -0,0 +1,23 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertNaN(actualValue) { + return { + pass: actualValue !== actualValue, + message: 'expect NaN, actualValue is ' + actualValue + }; +} + +export default assertNaN; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertNegUnlimited.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertNegUnlimited.js new file mode 100644 index 0000000..ceac555 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertNegUnlimited.js @@ -0,0 +1,23 @@ +/* +* Copyright (c) 2022 Huawei Device Co., Ltd. +* Licensed 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. +*/ + +function assertNegUnlimited(actualValue) { + return { + pass: actualValue === Number.NEGATIVE_INFINITY, + message: 'Expected actualValue not to be -Infinity. actualValue is,' + actualValue + }; +} + +export default assertNegUnlimited; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertNull.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertNull.js new file mode 100644 index 0000000..53a7bad --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertNull.js @@ -0,0 +1,23 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertNull(actualValue) { + return { + pass: (actualValue) === null, + message: 'expect null, actualValue is ' + (actualValue) + }; +} + +export default assertNull; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPosUnlimited.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPosUnlimited.js new file mode 100644 index 0000000..6e68c0e --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPosUnlimited.js @@ -0,0 +1,23 @@ +/* +* Copyright (c) 2022 Huawei Device Co., Ltd. +* Licensed 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. +*/ + +function assertPosUnlimited(actualValue) { + return { + pass: actualValue === Number.POSITIVE_INFINITY, + message: 'Expected actualValue is POSITIVE_INFINITY. actualValue is,' + actualValue + }; +} + +export default assertPosUnlimited; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsPending.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsPending.js new file mode 100644 index 0000000..7e2ca2c --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsPending.js @@ -0,0 +1,42 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import isPromiseLike from './isPromiseLike'; + +function assertPromiseIsPending(actualPromise) { + if (!isPromiseLike(actualPromise)) { + return Promise.reject().then(function () { + }, function () { + return {pass: false, message: 'Expected not be called on a promise.'}; + }); + } + const helper = {}; + return Promise.race([actualPromise, Promise.resolve(helper)]).then( + function (got) { + return helper === got ? {pass: true, message: 'actualValue is isPending'} + : { + pass: false, + message: 'expect isPending, actualValue is resolve' + }; + }, + function () { + return { + pass: false + , message: 'expect isPending, actualValue is reject' + }; + }); +} + +export default assertPromiseIsPending; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsRejected.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsRejected.js new file mode 100644 index 0000000..eb8e65c --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsRejected.js @@ -0,0 +1,40 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import isPromiseLike from './isPromiseLike'; + +function assertPromiseIsRejected(actualPromise) { + if (!isPromiseLike(actualPromise)) { + return Promise.reject().then(function () { + }, function () { + return {pass: false, message: 'Expected not be called on a promise.'}; + }); + } + const helper = {}; + return Promise.race([actualPromise, Promise.resolve(helper)]).then( + function (got) { + return { + pass: false, + message: 'expect isRejected, but actualValue is ' + + (helper === got ? 'isPending' : 'resolve') + }; + }, + function () { + return {pass: true, message: 'actualValue is isRejected'}; + } + ); +} + +export default assertPromiseIsRejected; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsRejectedWith.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsRejectedWith.js new file mode 100644 index 0000000..48eaf78 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsRejectedWith.js @@ -0,0 +1,57 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import isPromiseLike from './isPromiseLike'; + +function assertPromiseIsRejectedWith(actualPromise, expectedValue) { + + if (!isPromiseLike(actualPromise)) { + return Promise.reject().then(function () { + }, function () { + return {pass: false, message: 'Expected not be called on a promise.'}; + }); + } + + function tips(passed) { + return ('Expected a promise ' + (passed ? 'not ' : '') + + 'to be rejected with ' + JSON.stringify(expectedValue[0])); + } + + const helper = {}; + return Promise.race([actualPromise, Promise.resolve(helper)]).then( + function (got) { + return { + pass: false, + message: tips(false) + ' but actualValue is ' + + (helper === got ? 'isPending' : 'resolve') + }; + }, + function (actualValue) { + if (JSON.stringify(actualValue) == JSON.stringify(expectedValue[0])) { + return { + pass: true, + message: 'actualValue was rejected with ' + JSON.stringify(actualValue) + '.' + }; + } else { + return { + pass: false, + message: tips(false) + ' but it was rejected with ' + JSON.stringify(actualValue) + '.' + }; + } + } + ); +} + +export default assertPromiseIsRejectedWith; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsRejectedWithError.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsRejectedWithError.js new file mode 100644 index 0000000..20f236f --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsRejectedWithError.js @@ -0,0 +1,78 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import isPromiseLike from './isPromiseLike'; + +function assertPromiseIsRejectedWithError(actualPromise, expectedValue) { + if (!isPromiseLike(actualPromise)) { + return Promise.reject().then(function () { + }, function () { + return {pass: false, message: 'Expected not be called on a promise.'}; + }); + } + const helper = {}; + return Promise.race([actualPromise, Promise.resolve(helper)]).then( + function (got) { + return { + pass: false, + message: 'Expected a promise to be rejected but actualValue is ' + + (helper === got ? 'isPending' : 'resolve') + }; + }, + function (actualValue) { + return matchError(actualValue, expectedValue); + } + ); + +} + +function matchError(actualValue, expectedValue) { + if (expectedValue.length == 1 && typeof expectedValue[0] === 'function') { + if (expectedValue[0].name === actualValue.__proto__.name) { + return {pass: true, message: 'actual error type is ' + actualValue.name + '.'}; + } + return {pass: false, message: `except error type is ${expectedValue[0].name},but actual is ${actualValue.name}.`}; + } + + if (expectedValue.length == 1 && typeof expectedValue[0] === 'string') { + if (expectedValue[0] === actualValue.message) { + return {pass: true, message: `actual error message is ${actualValue.message}.`}; + } + return {pass: false, message: `except error message ${expectedValue[0]},but actual is ${actualValue.message}.`}; + } + + if (expectedValue.length == 1) { + return {pass: false, message: 'When only one parameter, it should be error type or error message.'}; + } + + if (expectedValue.length == 2 && typeof expectedValue[0] === 'function' && expectedValue[0].name === actualValue.name) { + if (typeof expectedValue[1] === 'string' && actualValue.message === expectedValue[1]) { + return {pass: true, message: 'actual error message is ' + actualValue.message + '.'}; + } + return {pass: false, message: `except error message is ${expectedValue[1]},but actual is ${actualValue.message}.`}; + } + + if (expectedValue.length == 2 && typeof expectedValue[0] === 'function' && expectedValue[0].name !== actualValue.name) { + if (typeof expectedValue[1] === 'string' && actualValue.message === expectedValue[1]) { + return {pass: false, message: `except error type is ${expectedValue[0].name},but actual is ${actualValue.name}.`}; + } + return {pass: false, message: 'except error type and message are incorrect.'}; + } + if (expectedValue.length > 2) { + return {pass: false, message: 'Up to two parameters are supported.'}; + } +} + +export default assertPromiseIsRejectedWithError; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsResolved.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsResolved.js new file mode 100644 index 0000000..855426c --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsResolved.js @@ -0,0 +1,45 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import isPromiseLike from './isPromiseLike'; + +function assertPromiseIsResolved(actualPromise) { + if (!isPromiseLike(actualPromise)) { + return Promise.reject().then(function () { + }, function () { + return {pass: false, message: 'Expected not be called on a promise.'}; + }); + } + + const helper = {}; + return Promise.race([actualPromise, Promise.resolve(helper)]).then( + function (got) { + return helper === got ? { + pass: false, + message: 'expect resolve, actualValue is isPending' + } + : {pass: true, message: 'actualValue is isResolved'}; + }, + function (rej) { + return { + pass: false, + message: 'Expected a promise to be resolved but it was ' + + 'rejected with ' + JSON.stringify(rej) + '.' + }; + } + ); +} + +export default assertPromiseIsResolved; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsResolvedWith.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsResolvedWith.js new file mode 100644 index 0000000..d5eb01e --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertPromiseIsResolvedWith.js @@ -0,0 +1,59 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import isPromiseLike from './isPromiseLike'; + +function assertPromiseIsResolvedWith(actualPromise, expectedValue) { + if (!isPromiseLike(actualPromise)) { + return Promise.reject().then(function () { + }, function () { + return {pass: false, message: 'Expected not be called on a promise.'}; + }); + } + + function tips(passed) { + return ( + 'Expected a promise ' + (passed ? 'not ' : '') + + 'to be resolved with ' + JSON.stringify(expectedValue[0])); + } + + const helper = {}; + return Promise.race([actualPromise, Promise.resolve(helper)]).then( + function (got) { + if (helper === got) { + return {pass: false, message: 'expect resolve, actualValue is isPending'}; + } + if (JSON.stringify(got) == JSON.stringify(expectedValue[0])) { + return { + pass: true, + message: 'actualValue was resolved with ' + JSON.stringify(got) + '.' + }; + } + return { + pass: false, + message: tips(false) + ' but it was resolved with ' + + JSON.stringify(got) + '.' + }; + }, + function (rej) { + return { + pass: false, + message: tips(false) + ' but it was rejected with ' + JSON.stringify(rej) + '.' + }; + } + ); +} + +export default assertPromiseIsResolvedWith; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertThrowError.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertThrowError.js new file mode 100644 index 0000000..749cab0 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertThrowError.js @@ -0,0 +1,44 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertThrowError(actualValue, expected) { + let result = false; + let err; + if (typeof actualValue !== 'function') { + throw new Error('actualValue is not a function'); + } + try { + actualValue(); + return { + pass: result, + message: ' An error is not thrown while it is expected!' + }; + } catch (e) { + err = e; + } + + if (err instanceof Error) { + console.log(err.message); + if (err.message == expected[0]) { + result = true; + } + } + return { + pass: result, + message: 'expected throw failed , ' + err.message + ' is not ' + expected[0] + }; +} + +export default assertThrowError; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertUndefined.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertUndefined.js new file mode 100644 index 0000000..61f092d --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/assertUndefined.js @@ -0,0 +1,23 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function assertUndefined(actualValue) { + return { + pass: undefined === (actualValue), + message: 'expect Undefined, actualValue is ' + (actualValue) + }; +} + +export default assertUndefined; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/deepEquals/DeepTypeUtils.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/deepEquals/DeepTypeUtils.js new file mode 100644 index 0000000..627fb3b --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/deepEquals/DeepTypeUtils.js @@ -0,0 +1,138 @@ +/* + * Copyright (c) 2022-2023 Huawei Device Co., Ltd. + * Licensed 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. + */ + +class DeepTypeUtils { + static getType_(value) { + return Object.prototype.toString.apply(value); + } + static isA_(typeName, value) { + return this.getType_(value) === '[object ' + typeName + ']'; + } + static isAsymmetricEqualityTester_(obj) { + return obj ? this.isA_('Function', obj.asymmetricMatch) : false; + } + + /** + * 是否是function + * @param value + */ + static isFunction_(value) { + return this.isA_('Function', value); + } + + /** + * 是否是undefined + * @param obj + */ + static isUndefined(obj) { + return obj === void 0; + } + + /** + * 是否是Node + * @param obj + */ + static isDomNode(obj) { + return obj !== null && + typeof obj === 'object' && + typeof obj.nodeType === 'number' && + typeof obj.nodeName === 'string'; + } + + /** + * 是否是promise对象 + * @param obj + */ + static isPromise (obj) { + return !!obj && obj.constructor === Promise; + }; + /** + * 是否是map对象 + * @param obj + */ + static isMap(obj) { + return ( + obj !== null && + typeof obj !== 'undefined' && + obj.constructor === Map + ); + } + + /** + * 是否是set对象 + * @param obj 对象 + */ + static isSet(obj) { + return ( + obj !== null && + typeof obj !== 'undefined' && + obj.constructor === Set + ); + } + + /** + * 对象是否有key属性 + * @param obj 对象 + * @param key 对象属性名称 + */ + static has(obj, key) { + return Object.prototype.hasOwnProperty.call(obj, key); + } + + /** + * 获取对象的自有属性 + * @param obj 对象 + * @param isArray 是否是数组,[object Array] + */ + static keys(obj, isArray) { + const extraKeys = []; + // 获取对象所有属性 + const allKeys = this.getAllKeys(obj); + if (!isArray) { + return allKeys; + } + if (allKeys.length === 0) { + return allKeys; + } + for (const k of allKeys) { + if (typeof k === 'symbol' || !/^[0-9]+$/.test(k)) { + extraKeys.push(k); + } + } + return extraKeys; + } + + /** + * 获取obj对象的所有属性 + * @param obj obj对象 + */ + static getAllKeys(obj) { + const keys = []; + for (let key in obj) { + if(this.has(obj, key)) { + keys.push(key); + } + } + const symbols = Object.getOwnPropertySymbols(obj); + for (const sym of symbols) { + if (obj.propertyIsEnumerable(sym)) { + keys.push(sym); + } + } + return keys; + } + +} +export default DeepTypeUtils; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/deepEquals/assertDeepEquals.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/deepEquals/assertDeepEquals.js new file mode 100644 index 0000000..482e28e --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/deepEquals/assertDeepEquals.js @@ -0,0 +1,315 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import DeepTypeUtils from './DeepTypeUtils' +function assertDeepEquals(actualValue, expected) { + console.log('actualValue:' + actualValue + ',expected:' + expected[0]); + let result = eq(actualValue, expected[0],[], []) + let msg = logMsg(actualValue, expected[0]); + return { + pass: result, + message: msg + }; +} + +/** + * 获取失败显示日志 + * @param actualValue 实际对象 + * @param expected 期待比较对象 + */ +function logMsg(actualValue, expected) { + // 获取a的对象名称 + const aClassName = Object.prototype.toString.call(actualValue); + const bClassName = Object.prototype.toString.call(expected); + let actualMsg; + let expectMsg; + if(aClassName == "[object Function]") { + actualMsg = "actualValue Function" + }else if(aClassName == "[object Promise]") { + actualMsg = "actualValue Promise" + }else if(aClassName == "[object Set]" || aClassName == "[object Map]") { + actualMsg = JSON.stringify(Array.from(actualValue));; + }else if(aClassName == "[object RegExp]") { + actualMsg = JSON.stringify(actualValue.source.replace("\\",""));; + }else if(aClassName == "[object BigInt]") { + actualMsg = actualValue; + } + else{ + actualMsg = JSON.stringify(actualValue); + } + if(bClassName == "[object Function]") { + expectMsg = "expected Function" + }else if(bClassName == "[object Promise]") { + expectMsg = "expected Promise" + }else if(bClassName == "[object Set]" || bClassName == "[object Map]") { + expectMsg = JSON.stringify(Array.from(expected)); + }else if(bClassName == "[object RegExp]") { + expectMsg = JSON.stringify(expected.source.replace("\\",""));; + }else if(bClassName == "[object BigInt]") { + expectMsg = expected; + } + else{ + expectMsg = JSON.stringify(expected); + } + return actualMsg + " is not deep equal " + expectMsg; +} + +function eq(a, b, aStack, bStack) { + let result = true; + console.log('a is:' + a + ',b is:' + b); + const asymmetricResult = asymmetricMatch_(a,b); + if (!DeepTypeUtils.isUndefined(asymmetricResult)) { + return asymmetricResult; + } + + if (a instanceof Error && b instanceof Error) { + result = a.message == b.message; + return result; + } + + if (a === b) { + result = a !== 0 || 1 / a == 1 / b; + return result; + } + + if (a === null || b === null) { + result = a === b; + return result; + } + // 获取a的对象名称 + const aClassName = Object.prototype.toString.call(a); + const bClassName = Object.prototype.toString.call(b); + console.log('aClassName is:' + aClassName); + console.log('bClassName is:' + bClassName); + // 不同类型不同对象 + if (aClassName != bClassName) { + return false; + } + // 俩个string对象 + if(aClassName === '[object String]') { + result = a == String(b); + return result; + } + // 俩个Number对象 + if(aClassName === '[object Number]') { + result = a != +a ? b != +b : a === 0 && b === 0 ? 1 / a == 1 / b : a == +b; + return result; + } + + if(aClassName === '[object Date]' || aClassName === '[object Boolean]') { + result = +a == +b; + return result; + } + + // 数组 + if(aClassName === '[object ArrayBuffer]') { + return eq(new Uint8Array(a), new Uint8Array(b), aStack, bStack); + } + + // 正则表达式 + if(aClassName === '[object RegExp]') { + return ( + a.source == b.source && + a.global == b.global && + a.multiline == b.multiline && + a.ignoreCase == b.ignoreCase + ); + } + + if (typeof a != 'object' || typeof b != 'object') { + return false; + } + + const aIsDomNode = DeepTypeUtils.isDomNode(a); + const bIsDomNode = DeepTypeUtils.isDomNode(b); + if (aIsDomNode && bIsDomNode) { + // At first try to use DOM3 method isEqualNode + result = a.isEqualNode(b); + return result; + } + if (aIsDomNode || bIsDomNode) { + return false; + } + const aIsPromise = DeepTypeUtils.isPromise(a); + const bIsPromise = DeepTypeUtils.isPromise(b); + if (aIsPromise && bIsPromise) { + return a === b; + } + let length = aStack.length; + while (length--) { + if (aStack[length] == a) { + return bStack[length] == b; + } + } + aStack.push(a); + bStack.push(b); + let size = 0; + + // 都是数组 + if(aClassName == '[object Array]') { + const aLength = a.length; + const bLength = b.length; + if (aLength !== bLength) { + // 数组长度不同，不是同一个对象 + return false; + } + for (let i = 0; i < aLength || i < bLength; i++) { + // 递归每一个元素是否相同 + result = eq(i < aLength ? a[i] : void 0, i < bLength ? b[i] : void 0, aStack, bStack) && result; + } + if (!result) { + return false; + } + } else if(DeepTypeUtils.isMap(a) && DeepTypeUtils.isMap(b)) { + if (a.size != b.size) { + return false; + } + const keysA = []; + const keysB = []; + a.forEach(function(valueA, keyA) { + keysA.push(keyA); + }); + b.forEach(function(valueB, keyB) { + keysB.push(keyB); + }); + const mapKeys = [keysA, keysB]; + const cmpKeys = [keysB, keysA]; + for (let i = 0; result && i < mapKeys.length; i++) { + const mapIter = mapKeys[i]; + const cmpIter = cmpKeys[i]; + + for (let j = 0; result && j < mapIter.length; j++) { + const mapKey = mapIter[j]; + const cmpKey = cmpIter[j]; + const mapValueA = a.get(mapKey); + let mapValueB; + if ( + DeepTypeUtils.isAsymmetricEqualityTester_(mapKey) || + (DeepTypeUtils.isAsymmetricEqualityTester_(cmpKey) && + eq(mapKey, cmpKey)) + ) { + mapValueB = b.get(cmpKey); + } else { + mapValueB = b.get(mapKey); + } + result = eq(mapValueA, mapValueB, aStack, bStack); + } + } + if (!result) { + return false; + } + } else if(DeepTypeUtils.isSet(a) && DeepTypeUtils.isSet(b)) { + if (a.size != b.size) { + return false; + } + const valuesA = []; + a.forEach(function(valueA) { + valuesA.push(valueA); + }); + const valuesB = []; + b.forEach(function(valueB) { + valuesB.push(valueB); + }); + const setPairs = [[valuesA, valuesB], [valuesB, valuesA]]; + const stackPairs = [[aStack, bStack], [bStack, aStack]]; + for (let i = 0; result && i < setPairs.length; i++) { + const baseValues = setPairs[i][0]; + const otherValues = setPairs[i][1]; + const baseStack = stackPairs[i][0]; + const otherStack = stackPairs[i][1]; + for (const baseValue of baseValues) { + let found = false; + for (let j = 0; !found && j < otherValues.length; j++) { + const otherValue = otherValues[j]; + const prevStackSize = baseStack.length; + // 深度比较对象 + found = eq(baseValue, otherValue, baseStack, otherStack); + if (!found && prevStackSize !== baseStack.length) { + baseStack.splice(prevStackSize); + otherStack.splice(prevStackSize); + } + } + result = result && found; + } + } + if (!result) { + return false; + } + } else { + const aCtor = a.constructor, + bCtor = b.constructor; + if ( + aCtor !== bCtor && + DeepTypeUtils.isFunction_(aCtor) && + DeepTypeUtils.isFunction_(bCtor) && + a instanceof aCtor && + b instanceof bCtor && + !(aCtor instanceof aCtor && bCtor instanceof bCtor) + ) { + return false; + } + } + + // 获取对象所有的属性集合 + const aKeys = DeepTypeUtils.keys(a, aClassName == '[object Array]'); + size = aKeys.length; + + // 俩个对象属性长度不一致， 俩对象不相同 + if (DeepTypeUtils.keys(b, bClassName == '[object Array]').length !== size) { + return false; + } + + // 俩对象属性数量相同， 递归比较每个属性值得值 + for (const key of aKeys) { + console.log('key is:' + key); + // b 没有 key 属性 + if(!DeepTypeUtils.has(b, key)) { + result = false; + continue; + } + if (!eq(a[key], b[key], aStack, bStack)) { + result = false; + } + } + if (!result) { + return false; + } + aStack.pop(); + bStack.pop(); + return result; +} + +function asymmetricMatch_(a, b) { + const asymmetricA = DeepTypeUtils.isAsymmetricEqualityTester_(a); + const asymmetricB = DeepTypeUtils.isAsymmetricEqualityTester_(b); + + if (asymmetricA === asymmetricB) { + return undefined; + } + +} + +/** + * 获取对象的自有属性 + * + * @param obj 对象 + * @param isArray 是否是一个数组 + */ +function keys(obj, isArray) { + const keys = []; + +} + +export default assertDeepEquals; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/isPromiseLike.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/isPromiseLike.js new file mode 100644 index 0000000..015ab19 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/assert/isPromiseLike.js @@ -0,0 +1,32 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +function isPromiseLike(obj) { + return !!obj && isFunction_(obj.then); +} + +function isFunction_(value) { + return isA_('Function', value); +} + +function isA_(typeName, value) { + return getType_(value) === '[object ' + typeName + ']'; +} + +function getType_(value) { + return Object.prototype.toString.apply(value); +} + +export default isPromiseLike; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/config/DataDriver.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/config/DataDriver.js new file mode 100644 index 0000000..639dffc --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/config/DataDriver.js @@ -0,0 +1,116 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +const SUITES_KEY = 'suites'; +const SPECS_KEY = 'items'; +const DESCRIBE_KEY = 'describe'; +const IT_KEY = 'it'; +const PARAMS_KEY = 'params'; +const STRESS_KEY = 'stress'; + +class ObjectUtils { + static get(object, name, defaultValue) { + let result = defaultValue; + for (const key in object) { + if (key === name) { + return object[key]; + } + } + return result; + } + + static has(object, key) { + return Object.prototype.hasOwnProperty.call(object, key); + } +} + +class DataDriver { + constructor(attr) { + this.id = 'dataDriver'; + this.data = attr.data || {}; + } + + init(coreContext) { + this.coreContext = coreContext; + this.suiteService = this.coreContext.getDefaultService('suite'); + this.specService = this.coreContext.getDefaultService('spec'); + } + + getSpecParams() { + let specParams = []; + let suiteDesc = this.suiteService.getCurrentRunningSuite().description; + let specDesc = this.specService.getCurrentRunningSpec().description; + let suites = ObjectUtils.get(this.data, SUITES_KEY, []); + for (const suiteItem of suites) { + let describeValue = ObjectUtils.get(suiteItem, DESCRIBE_KEY, ''); + if (ObjectUtils.has(suiteItem, DESCRIBE_KEY) && (typeof describeValue === 'object') && describeValue.constructor === Array && describeValue.includes(suiteDesc)) { + let specs = ObjectUtils.get(suiteItem, SPECS_KEY, []); + for (const specItem of specs) { + if (ObjectUtils.has(specItem, IT_KEY) && ObjectUtils.get(specItem, IT_KEY) === specDesc) { + return ObjectUtils.get(specItem, PARAMS_KEY, specParams); + } + } + } + } + return specParams; + } + + getSuiteParams() { + let suiteParams = {}; + let suiteDesc = this.suiteService.getCurrentRunningSuite().description; + let suites = ObjectUtils.get(this.data, SUITES_KEY, []); + for (const suiteItem of suites) { + let describeValue = ObjectUtils.get(suiteItem, DESCRIBE_KEY, []); + if (ObjectUtils.has(suiteItem, DESCRIBE_KEY) && (typeof describeValue === 'object') && describeValue.constructor === Array && describeValue.includes(suiteDesc)) { + suiteParams = Object.assign({}, suiteParams, ObjectUtils.get(suiteItem, PARAMS_KEY, suiteParams)); + } + } + return suiteParams; + } + + getSpecStress(specDesc) { + let stress = 1; + let suiteDesc = this.suiteService.getCurrentRunningSuite().description; + let suites = ObjectUtils.get(this.data, SUITES_KEY, []); + for (const suiteItem of suites) { + let describeValue = ObjectUtils.get(suiteItem, DESCRIBE_KEY, ''); + if (ObjectUtils.has(suiteItem, DESCRIBE_KEY) && (typeof describeValue === 'object') && describeValue.constructor === Array && describeValue.includes(suiteDesc)) { + let specs = ObjectUtils.get(suiteItem, SPECS_KEY, []); + for (const specItem of specs) { + if (ObjectUtils.has(specItem, IT_KEY) && ObjectUtils.get(specItem, IT_KEY) === specDesc) { + let tempStress = ObjectUtils.get(specItem, STRESS_KEY, stress); + return (Number.isInteger(tempStress) && tempStress >= 1) ? tempStress : stress; + } + } + } + } + return stress; + } + + getSuiteStress(suiteDesc) { + let stress = 1; + let suites = ObjectUtils.get(this.data, SUITES_KEY, []); + for (const suiteItem of suites) { + let describeValue = ObjectUtils.get(suiteItem, DESCRIBE_KEY, []); + if (ObjectUtils.has(suiteItem, DESCRIBE_KEY) && (typeof describeValue === 'object') && describeValue.constructor === Array && describeValue.includes(suiteDesc)) { + let tempStress = ObjectUtils.get(suiteItem, STRESS_KEY, stress); + return (Number.isInteger(tempStress) && tempStress >= 1) ? tempStress : stress; + } + } + return stress; + } +} + +export default DataDriver; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/config/Filter.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/config/Filter.js new file mode 100644 index 0000000..0ca3b4f --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/config/Filter.js @@ -0,0 +1,81 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +class ClassFilter { + constructor(suiteName, itName, params) { + this.suiteName = suiteName; + this.itName = itName; + this.params = params; + } + + filterSuite() { + return !this.params.split(',').map(item => item.split('#')[0]).map(item => item == this.suiteName).reduce((pre, cur) => pre || cur, false); + } + + filterIt() { + let classArray = this.params.split(',') || []; + let suiteFilterResult = classArray.filter(item => !item.includes('#')).map(item => item == this.suiteName).reduce((pre, cur) => pre || cur, false); + let itFilterResult = classArray.filter(item => item.includes('#')).map(item => item == (this.suiteName + '#' + this.itName)).reduce((pre, cur) => pre || cur, false); + return !(suiteFilterResult || itFilterResult); + } +} + +class NotClassFilter { + constructor(suiteName, itName, params) { + this.suiteName = suiteName; + this.itName = itName; + this.params = params; + } + + filterSuite() { + return this.params.split(',').map(item => item == this.suiteName).reduce((pre, cur) => pre || cur, false); + } + + filterIt() { + return this.params.split(',').some(item => item == (this.suiteName + '#' + this.itName)); + } +} + +class SuiteAndItNameFilter { + constructor(suiteName, itName, params) { + this.suiteName = suiteName; + this.itName = itName; + this.params = params; + } + + filterSuite() { + return !this.params.split(',').map(item => item == this.suiteName).reduce((pre, cur) => pre || cur, false); + } + + filterIt() { + return !this.params.split(',').map(item => item == this.itName).reduce((pre, cur) => pre || cur, false); + } +} + + +class TestTypesFilter { + constructor(suiteName, itName, fi, params) { + this.suiteName = suiteName; + this.itName = itName; + this.params = params; + this.fi = fi; + } + + filterIt() { + return !((this.params === (this.fi & this.params)) || this.fi === 0); + } +} + +export {ClassFilter, NotClassFilter, SuiteAndItNameFilter, TestTypesFilter}; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/config/configService.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/config/configService.js new file mode 100644 index 0000000..0e2ea1b --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/config/configService.js @@ -0,0 +1,293 @@ +/* + * Copyright (c) 2021-2023 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import {ClassFilter, NotClassFilter, SuiteAndItNameFilter, TestTypesFilter} from './Filter'; +import {TAG} from '../../Constant'; +const STRESS_RULE = /^[1-9]\d*$/; + +class ConfigService { + constructor(attr) { + this.id = attr.id; + this.supportAsync = false; + this.random = false; + this.filterValid = []; + this.filter = 0; + this.flag = false; + this.suite = null; + this.itName = null; + this.testType = null; + this.level = null; + this.size = null; + this.class = null; + this.notClass = null; + this.timeout = null; + // 遇错即停模式配置 + this.breakOnError = false; + // 压力测试配置 + this.stress = null; + } + + init(coreContext) { + this.coreContext = coreContext; + } + + isNormalInteger(str) { + const n = Math.floor(Number(str)); + return n !== Infinity && String(n) === String(str) && n >= 0; + } + + getStress() { + if (this.stress === undefined || this.stress === '' || this.stress === null) { + return 1; + } + return !this.stress.match(STRESS_RULE) ? 1 : Number.parseInt(this.stress); + } + + basicParamValidCheck(params) { + let size = params.size; + if (size !== undefined && size !== '' && size !== null) { + let sizeArray = ['small', 'medium', 'large']; + if (sizeArray.indexOf(size) === -1) { + this.filterValid.push('size:' + size); + } + } + let level = params.level; + if (level !== undefined && level !== '' && level !== null) { + let levelArray = ['0', '1', '2', '3', '4']; + if (levelArray.indexOf(level) === -1) { + this.filterValid.push('level:' + level); + } + } + let testType = params.testType; + if (testType !== undefined && testType !== '' && testType !== null) { + let testTypeArray = ['function', 'performance', 'power', 'reliability', 'security', + 'global', 'compatibility', 'user', 'standard', 'safety', 'resilience']; + if (testTypeArray.indexOf(testType) === -1) { + this.filterValid.push('testType:' + testType); + } + } + } + + filterParamValidCheck(params) { + let timeout = params.timeout; + if (timeout !== undefined && timeout !== '' && timeout !== null) { + if (!this.isNormalInteger(timeout)) { + this.filterValid.push('timeout:' + timeout); + } + } + + let paramKeys = ['dryRun', 'random', 'breakOnError', 'coverage']; + for (const key of paramKeys) { + if (params[key] !== undefined && params[key] !== 'true' && params[key] !== 'false') { + this.filterValid.push(`${key}:${params[key]}`); + } + } + + // 压力测试参数验证,正整数 + if (params.stress !== undefined && params.stress !== '' && params.stress !== null) { + if (!params.stress.match(STRESS_RULE)) { + this.filterValid.push('stress:' + params.stress); + } + } + + let nameRule = /^[A-Za-z]{1}[\w#,.]*$/; + let paramClassKeys = ['class', 'notClass']; + for (const key of paramClassKeys) { + if (params[key] !== undefined && params[key] !== '' && params[key] !== null) { + let classArray = params[key].split(','); + classArray.forEach(item => !item.match(nameRule) ? this.filterValid.push(`${key}:${params[key]}`) : null); + } + } + } + + setConfig(params) { + this.basicParamValidCheck(params); + this.filterParamValidCheck(params); + try { + this.class = params.class; + this.notClass = params.notClass; + this.flag = params.flag || {flag: false}; + this.suite = params.suite; + this.itName = params.itName; + this.filter = params.filter; + this.testType = params.testType; + this.level = params.level; + this.size = params.size; + this.timeout = params.timeout; + this.dryRun = params.dryRun; + this.breakOnError = params.breakOnError; + this.random = params.random === 'true' ? true : false; + this.stress = params.stress; + this.coverage = params.coverage; + this.filterParam = { + testType: { + 'function': 1, + 'performance': 1 << 1, + 'power': 1 << 2, + 'reliability': 1 << 3, + 'security': 1 << 4, + 'global': 1 << 5, + 'compatibility': 1 << 6, + 'user': 1 << 7, + 'standard': 1 << 8, + 'safety': 1 << 9, + 'resilience': 1 << 10, + }, + level: { + '0': 1 << 24, + '1': 1 << 25, + '2': 1 << 26, + '3': 1 << 27, + '4': 1 << 28, + }, + size: { + 'small': 1 << 16, + 'medium': 1 << 17, + 'large': 1 << 18, + } + }; + this.parseParams(); + } catch (err) { + console.info(`${TAG}setConfig error: ${err.message}`); + } + } + + parseParams() { + if (this.filter != null) { + return; + } + let testTypeFilter = 0; + let sizeFilter = 0; + let levelFilter = 0; + if (this.testType != null) { + testTypeFilter = this.testType.split(',') + .map(item => this.filterParam.testType[item] || 0) + .reduce((pre, cur) => pre | cur, 0); + } + if (this.level != null) { + levelFilter = this.level.split(',') + .map(item => this.filterParam.level[item] || 0) + .reduce((pre, cur) => pre | cur, 0); + } + if (this.size != null) { + sizeFilter = this.size.split(',') + .map(item => this.filterParam.size[item] || 0) + .reduce((pre, cur) => pre | cur, 0); + } + this.filter = testTypeFilter | sizeFilter | levelFilter; + console.info(`${TAG}filter params:${this.filter}`); + } + + isCurrentSuite(description) { + if (this.suite !== undefined && this.suite !== '' && this.suite !== null) { + let suiteArray = this.suite.split(','); + return suiteArray.indexOf(description) !== -1; + } + return false; + } + + filterSuite(currentSuiteName) { + let filterArray = []; + if (this.suite !== undefined && this.suite !== '' && this.suite !== null) { + filterArray.push(new SuiteAndItNameFilter(currentSuiteName, '', this.suite)); + } + if (this.class !== undefined && this.class !== '' && this.class !== null) { + filterArray.push(new ClassFilter(currentSuiteName, '', this.class)); + } + if (this.notClass !== undefined && this.notClass !== '' && this.notClass !== null) { + filterArray.push(new NotClassFilter(currentSuiteName, '', this.notClass)); + } + + let result = filterArray.map(item => item.filterSuite()).reduce((pre, cur) => pre || cur, false); + return result; + } + + filterDesc(currentSuiteName, desc, fi, coreContext) { + let filterArray = []; + if (this.itName !== undefined && this.itName !== '' && this.itName !== null) { + filterArray.push(new SuiteAndItNameFilter(currentSuiteName, desc, this.itName)); + } + if (this.class !== undefined && this.class !== '' && this.class !== null) { + filterArray.push(new ClassFilter(currentSuiteName, desc, this.class)); + } + if (this.notClass !== undefined && this.notClass !== '' && this.notClass !== null) { + filterArray.push(new NotClassFilter(currentSuiteName, desc, this.notClass)); + } + if (typeof (this.filter) !== 'undefined' && this.filter !== 0 && fi !== 0) { + filterArray.push(new TestTypesFilter('', '', fi, this.filter)); + } + let result = filterArray.map(item => item.filterIt()).reduce((pre, cur) => pre || cur, false); + return result; + } + + isRandom() { + return this.random || false; + } + + isBreakOnError() { + return this.breakOnError !== 'true' ? false : true; + } + + setSupportAsync(value) { + this.supportAsync = value; + } + + isSupportAsync() { + return this.supportAsync; + } + + translateParams(parameters) { + const keySet = new Set([ + '-s class', '-s notClass', '-s suite', '-s itName', + '-s level', '-s testType', '-s size', '-s timeout', + '-s dryRun', '-s random', '-s breakOnError', '-s stress', + '-s coverage', 'class', 'notClass', 'suite', 'itName', + 'level', 'testType', 'size', 'timeout', 'dryRun', 'random', + 'breakOnError', 'stress', 'coverage' + ]); + let targetParams = {}; + for (const key in parameters) { + if (keySet.has(key)) { + var newKey = key.replace("-s ", ""); + targetParams[newKey] = parameters[key]; + } + } + return targetParams; + } + translateParamsToString(parameters) { + const keySet = new Set([ + '-s class', '-s notClass', '-s suite', '-s itName', + '-s level', '-s testType', '-s size', '-s timeout', + '-s dryRun', '-s random', '-s breakOnError', '-s stress', + '-s coverage', 'class', 'notClass', 'suite', 'itName', + 'level', 'testType', 'size', 'timeout', 'dryRun', 'random', + 'breakOnError', 'stress', 'coverage' + ]); + let targetParams = ''; + for (const key in parameters) { + if (keySet.has(key)) { + targetParams += ' ' + key + ' ' + parameters[key]; + } + } + return targetParams.trim(); + } + + execute() { + } +} + +export { + ConfigService +}; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/coverage/coverageCollect.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/coverage/coverageCollect.js new file mode 100644 index 0000000..632a682 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/coverage/coverageCollect.js @@ -0,0 +1,31 @@ +/* + * Copyright (c) 2023 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import SysTestKit from "../kit/SysTestKit"; + +export async function collectCoverageData() { + if (globalThis.__coverage__ === undefined) { + return; + } + const strJson = JSON.stringify(globalThis.__coverage__); + const strLen = strJson.length; + const maxLen = 500; + const maxCount = Math.floor(strLen / maxLen); + const OHOS_REPORT_COVERAGE_DATA = 'OHOS_REPORT_COVERAGE_DATA:'; + for (let count = 0; count <= maxCount; count++) { + console.info(`${OHOS_REPORT_COVERAGE_DATA} ${strJson.substring(count * maxLen, (count + 1) * maxLen)}`); + await SysTestKit.print(`${OHOS_REPORT_COVERAGE_DATA} ${strJson.substring(count * maxLen, (count + 1) * maxLen)}`); + } +} \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/kit/SysTestKit.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/kit/SysTestKit.js new file mode 100644 index 0000000..65d063c --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/kit/SysTestKit.js @@ -0,0 +1,88 @@ +/* + * Copyright (c) 2022-2023 Huawei Device Co., Ltd. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import {TAG} from '../../Constant'; + +export default class SysTestKit { + + static delegator = null; + static systemTime = null; + + constructor() { + this.id = 'sysTestKit'; + this.index = 0; + } + + static actionStart(tag) { + console.info(`${TAG}${JSON.stringify(tag)}`); + var message = '\n' + 'OHOS_REPORT_ACTIONSTART: ' + JSON.stringify(tag) + '\n'; + SysTestKit.print(message); + console.info(`${TAG}${JSON.stringify(tag)} actionStart print success`); + } + + static actionEnd(tag) { + console.info(`${TAG}${JSON.stringify(tag)}`); + var message = '\n' + 'OHOS_REPORT_ACTIONEND: ' + JSON.stringify(tag) + '\n'; + SysTestKit.print(message); + console.info(`${TAG}${JSON.stringify(tag)} actionEnd print success`); + } + + static async existKeyword(keyword, timeout) { + let reg = new RegExp(/^[a-zA-Z0-9]{1,}$/); + if (!reg.test(keyword)) { + throw new Error('keyword must contain more than one string, and only letters and numbers are supported.'); + } + timeout = timeout || 4; + + let searchResult = false; + let cmd = 'hilog -x | grep -i \'' + keyword + '\' | wc -l'; + await executePromise(cmd, timeout).then((data) => { + searchResult = data; + }); + return searchResult; + } + static async print(message) { + if ('printSync' in SysTestKit.delegator) { + console.debug(`${TAG}printSync called ...`); + SysTestKit.delegator.printSync(message); + } else { + await SysTestKit.delegator.print(message); + } + } + + static async getRealTime() { + let currentTime = new Date().getTime(); + if (SysTestKit.systemTime !== null && SysTestKit.systemTime !== undefined) { + await SysTestKit.systemTime.getRealTime().then((time) => { + console.info(`${TAG}systemTime.getRealTime success data: ${JSON.stringify(time)}`); + currentTime = time; + }).catch((error) => { + console.error(`${TAG}failed to systemTime.getRealTime because ${JSON.stringify(error)}`); + }); + } + return currentTime; + } +} + +function executePromise(cmd, timeout) { + return new Promise((resolve, reject) => { + SysTestKit.delegator.executeShellCommand(cmd, timeout, + (error, data) => { + console.info(`${TAG}existKeyword CallBack: err : ${JSON.stringify(error)}`); + console.info(`${TAG}existKeyword CallBack: data : ${JSON.stringify(data)}`); + resolve(parseInt(data.stdResult) > 3 ? true : false); + }); + }); +} \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/ArgumentMatchers.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/ArgumentMatchers.js new file mode 100644 index 0000000..6a9d7aa --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/ArgumentMatchers.js @@ -0,0 +1,122 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +class ArgumentMatchers { + ANY = ""; + ANY_STRING = ""; + ANY_BOOLEAN = ""; + ANY_NUMBER = ""; + ANY_OBJECT = ""; + ANY_FUNCTION = ""; + MATCH_REGEXS = ""; + + static any() { + } + + static anyString() { + } + + static anyBoolean() { + } + + static anyNumber() { + } + + static anyObj() { + } + + static anyFunction() { + } + + static matchRegexs() { + let regex = arguments[0]; + if (ArgumentMatchers.isRegExp(regex)) { + return regex; + } + throw Error("not a regex"); + } + + static isRegExp(value) { + return Object.prototype.toString.call(value) === "[object RegExp]"; + } + + matcheReturnKey() { + let arg = arguments[0]; + let regex = arguments[1]; + let stubSetKey = arguments[2]; + + if (stubSetKey && stubSetKey == this.ANY) { + return this.ANY; + } + + if (typeof arg === "string" && !regex) { + return this.ANY_STRING; + } + + if (typeof arg === "boolean" && !regex) { + return this.ANY_BOOLEAN; + } + + if (typeof arg === "number" && !regex) { + return this.ANY_NUMBER; + } + + if (typeof arg === "object" && !regex) { + return this.ANY_OBJECT; + } + + if (typeof arg === "function" && !regex) { + return this.ANY_FUNCTION; + } + + if (typeof arg === "string" && regex) { + return regex.test(arg); + } + + return null; + } + + matcheStubKey() { + let key = arguments[0]; + + if (key === ArgumentMatchers.any) { + return this.ANY; + } + + if (key === ArgumentMatchers.anyString) { + return this.ANY_STRING; + } + if (key === ArgumentMatchers.anyBoolean) { + return this.ANY_BOOLEAN; + } + if (key === ArgumentMatchers.anyNumber) { + return this.ANY_NUMBER; + } + if (key === ArgumentMatchers.anyObj) { + return this.ANY_OBJECT; + } + if (key === ArgumentMatchers.anyFunction) { + return this.ANY_FUNCTION; + } + + if (ArgumentMatchers.isRegExp(key)) { + return key; + } + + return null; + } +} + +export default ArgumentMatchers; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/ExtendInterface.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/ExtendInterface.js new file mode 100644 index 0000000..c6a866a --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/ExtendInterface.js @@ -0,0 +1,57 @@ +/* + * Copyright (c) 2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +class ExtendInterface { + constructor(mocker) { + this.mocker = mocker; + } + + stub() { + this.params = arguments; + return this; + } + + stubMockedCall(returnInfo) { + this.mocker.stubApply(this, this.params, returnInfo); + } + + afterReturn(value) { + this.stubMockedCall(function () { + return value; + }); + } + + afterReturnNothing() { + this.stubMockedCall(function () { + return undefined; + }); + } + + afterAction(action) { + this.stubMockedCall(action); + } + + afterThrow(msg) { + this.stubMockedCall(function () { + throw msg; + }); + } + + clear() { + this.mocker.clear(); + } +} + +export default ExtendInterface; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/MockKit.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/MockKit.js new file mode 100644 index 0000000..1bd83be --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/MockKit.js @@ -0,0 +1,256 @@ +/* + * Copyright (c) 2022-2023 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import ExtendInterface from "./ExtendInterface"; +import VerificationMode from "./VerificationMode"; +import ArgumentMatchers from "./ArgumentMatchers"; + +class MockKit { + + constructor() { + this.mFunctions = []; + this.stubs = new Map(); + this.recordCalls = new Map(); + this.currentSetKey = new Map(); + this.mockObj = null; + this.recordMockedMethod = new Map(); + } + + init() { + this.reset(); + } + + reset() { + this.mFunctions = []; + this.stubs = {}; + this.recordCalls = {}; + this.currentSetKey = new Map(); + this.mockObj = null; + this.recordMockedMethod = new Map(); + } + + clearAll() { + this.reset(); + var props = Object.keys(this); + for (var i = 0; i < props.length; i++) { + delete this[props[i]]; + } + + var props = Object.getOwnPropertyNames(this); + for (var i = 0; i < props.length; i++) { + delete this[props[i]]; + } + for (var key in this) { + delete this[key]; + } + } + + clear(obj) { + if (!obj) throw Error("Please enter an object to be cleaned"); + if (typeof (obj) != 'object') throw new Error('Not a object'); + this.recordMockedMethod.forEach(function (value, key, map) { + if (key) { + obj[key] = value; + } + }); + } + + ignoreMock(obj, method) { + if (typeof (obj) != 'object') throw new Error('Not a object'); + if (typeof (method) != 'function') throw new Error('Not a function'); + let og = this.recordMockedMethod.get(method.propName); + if (og) { + obj[method.propName] = og; + this.recordMockedMethod.set(method.propName, undefined); + } + } + + extend(dest, source) { + dest["stub"] = source["stub"]; + dest["afterReturn"] = source["afterReturn"]; + dest["afterReturnNothing"] = source["afterReturnNothing"]; + dest["afterAction"] = source["afterAction"]; + dest["afterThrow"] = source["afterThrow"]; + dest["stubMockedCall"] = source["stubMockedCall"]; + dest["clear"] = source["clear"]; + return dest; + } + + stubApply(f, params, returnInfo) { + let values = this.stubs.get(f); + if (!values) { + values = new Map(); + } + let key = params[0]; + if (typeof key == "undefined") { + key = "anonymous-mock-" + f.propName; + } + let matcher = new ArgumentMatchers(); + if (matcher.matcheStubKey(key)) { + key = matcher.matcheStubKey(key); + if (key) { + this.currentSetKey.set(f, key); + } + } + values.set(key, returnInfo); + this.stubs.set(f, values); + } + + getReturnInfo(f, params) { + let values = this.stubs.get(f); + if (!values) { + return undefined; + } + let retrunKet = params[0]; + if (typeof retrunKet == "undefined") { + retrunKet = "anonymous-mock-" + f.propName; + } + let stubSetKey = this.currentSetKey.get(f); + + if (stubSetKey && (typeof (retrunKet) != "undefined")) { + retrunKet = stubSetKey; + } + let matcher = new ArgumentMatchers(); + if (matcher.matcheReturnKey(params[0], undefined, stubSetKey) && matcher.matcheReturnKey(params[0], undefined, stubSetKey) != stubSetKey) { + retrunKet = params[0]; + } + + values.forEach(function (value, key, map) { + if (ArgumentMatchers.isRegExp(key) && matcher.matcheReturnKey(params[0], key)) { + retrunKet = key; + } + }); + + return values.get(retrunKet); + } + + findName(obj, value) { + let properties = this.findProperties(obj); + let name = null; + properties.filter(item => (item !== 'caller' && item !== 'arguments')).forEach( + function (va1, idx, array) { + if (obj[va1] === value) { + name = va1; + } + } + ); + return name; + } + + isFunctionFromPrototype(f, container, propName) { + if (container.constructor != Object && container.constructor.prototype !== container) { + return container.constructor.prototype[propName] === f; + } + return false; + } + + findProperties(obj, ...arg) { + function getProperty(new_obj) { + if (new_obj.__proto__ === null) { + return []; + } + let properties = Object.getOwnPropertyNames(new_obj); + return [...properties, ...getProperty(new_obj.__proto__)]; + } + return getProperty(obj); + } + + recordMethodCall(originalMethod, args) { + Function.prototype.getName = function () { + return this.name || this.toString().match(/function\s*([^(]*)\(/)[1]; + }; + let name = originalMethod.getName(); + let arglistString = name + '(' + Array.from(args).toString() + ')'; + let records = this.recordCalls.get(arglistString); + if (!records) { + records = 0; + } + records++; + this.recordCalls.set(arglistString, records); + } + + mockFunc(originalObject, originalMethod) { + let tmp = this; + this.originalMethod = originalMethod; + let f = function () { + let args = arguments; + let action = tmp.getReturnInfo(f, args); + if (originalMethod) { + tmp.recordMethodCall(originalMethod, args); + } + if (action) { + return action.apply(this, args); + } + }; + + f.container = null || originalObject; + f.original = originalMethod || null; + + if (originalObject && originalMethod) { + if (typeof (originalMethod) != 'function') throw new Error('Not a function'); + var name = this.findName(originalObject, originalMethod); + originalObject[name] = f; + this.recordMockedMethod.set(name, originalMethod); + f.propName = name; + f.originalFromPrototype = this.isFunctionFromPrototype(f.original, originalObject, f.propName); + } + f.mocker = this; + this.mFunctions.push(f); + this.extend(f, new ExtendInterface(this)); + return f; + } + + verify(methodName, argsArray) { + if (!methodName) { + throw Error("not a function name"); + } + let a = this.recordCalls.get(methodName + '(' + argsArray.toString() + ')'); + return new VerificationMode(a ? a : 0); + } + + mockObject(object) { + if (!object || typeof object === "string") { + throw Error(`this ${object} cannot be mocked`); + } + const _this = this; + let mockedObject = {}; + let keys = Reflect.ownKeys(object); + keys.filter(key => (typeof Reflect.get(object, key)) === 'function') + .forEach(key => { + mockedObject[key] = object[key]; + mockedObject[key] = _this.mockFunc(mockedObject, mockedObject[key]); + }); + return mockedObject; + } +} + +function ifMockedFunction(f) { + if (Object.prototype.toString.call(f) != "[object Function]" && + Object.prototype.toString.call(f) != "[object AsyncFunction]") { + throw Error("not a function"); + } + if (!f.stub) { + throw Error("not a mock function"); + } + return true; +} + +function when(f) { + if (ifMockedFunction(f)) { + return f.stub.bind(f); + } +} + +export {MockKit, when}; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/VerificationMode.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/VerificationMode.js new file mode 100644 index 0000000..28eda2b --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/mock/VerificationMode.js @@ -0,0 +1,49 @@ +/* + * Copyright (c) 2022-2023 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import {expect} from '../../interface'; + +class VerificationMode { + constructor(times) { + this.doTimes = times; + } + + times(count) { + expect(count).assertEqual(this.doTimes); + } + + never() { + console.log(this.doTimes); + expect(0).assertEqual(this.doTimes); + } + + once() { + expect(1).assertEqual(this.doTimes); + } + + atLeast(count) { + if (count > this.doTimes) { + throw Error('failed ' + count + ' greater than the actual execution times of method'); + } + } + + atMost(count) { + if (count < this.doTimes) { + throw Error('failed ' + count + ' less than the actual execution times of method'); + } + } +} + +export default VerificationMode; \ No newline at end of file diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/report/OhReport.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/report/OhReport.js new file mode 100644 index 0000000..f648b11 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/report/OhReport.js @@ -0,0 +1,152 @@ +/* + * Copyright (c) 2021-2023 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import SysTestKit from "../kit/SysTestKit"; +import {collectCoverageData} from '../coverage/coverageCollect'; +import {TAG} from '../../Constant'; + +class OhReport { + constructor(attr) { + this.delegator = attr.delegator; + this.abilityDelegatorArguments = attr.abilityDelegatorArguments; + this.id = 'report'; + this.index = 0; + this.duration = 0; + } + + init(coreContext) { + this.coreContext = coreContext; + this.suiteService = this.coreContext.getDefaultService('suite'); + this.specService = this.coreContext.getDefaultService('spec'); + } + + taskStart() { + } + + async taskDone() { + if (this.abilityDelegatorArguments !== null) { + this.taskDoneTime = new Date().getTime(); + let summary = this.suiteService.getSummary(); + const configService = this.coreContext.getDefaultService('config'); + if (configService['coverage'] === 'true') { + await collectCoverageData(); + } + let message = '\n' + 'OHOS_REPORT_RESULT: stream=Tests run: ' + summary.total + ', Failure: ' + summary.failure; + message += ', Error: ' + summary.error; + message += ', Pass: ' + summary.pass; + message += ', Ignore: ' + summary.ignore; + message += '\n' + 'OHOS_REPORT_CODE: ' + (summary.failure > 0 ? -1 : 0) + '\n'; + let isHasError = summary.failure > 0 || summary.error > 0; + let config = this.coreContext.getDefaultService('config'); + if (config.isBreakOnError() && isHasError) { + // 未执行全部说明 + message += '\n' + 'OHOS_REPORT_RESULT: breakOnError model, Stopping whole test suite if one specific test case failed or error' + '\n'; + } + message += 'OHOS_REPORT_STATUS: taskconsuming=' + summary.duration + '\n'; + console.info(`${message}`); + await SysTestKit.print(message); + } + console.info(`${TAG}report print success`); + this.delegator.finishTest('your test finished!!!', 0, () => { }); + } + + incorrectFormat() { + if (this.coreContext.getDefaultService('config').filterValid.length !== 0) { + var value = this.coreContext.getDefaultService('config').filterValid; + var message = 'this param ' + value.join(',') + ' is invalid' + '\n'; + this.delegator.finishTest(message, 0, () => { + }); + } + } + + async suiteStart() { + if (this.abilityDelegatorArguments !== null) { + let message = '\n' + 'OHOS_REPORT_SUM: ' + this.suiteService.getCurrentRunningSuite().getSpecsNum(); + message += '\n' + 'OHOS_REPORT_STATUS: class=' + this.suiteService.getCurrentRunningSuite().description + '\n'; + console.info(`${message}`); + await SysTestKit.print(message); + console.info(`${TAG}${this.suiteService.getCurrentRunningSuite().description} suiteStart print success`); + } + } + + async suiteDone() { + if (this.abilityDelegatorArguments !== null) { + const currentRunningSuite = this.suiteService.getCurrentRunningSuite(); + let message = '\n' + 'OHOS_REPORT_STATUS: class=' + this.suiteService.getCurrentRunningSuite().description; + message += '\n' + 'OHOS_REPORT_STATUS: suiteconsuming=' + this.suiteService.getCurrentRunningSuite().duration; + if (currentRunningSuite.hookError) { + message += '\n' + `OHOS_REPORT_STATUS: ${currentRunningSuite.hookError.message}`; + } + message += '\n'; + console.info(`${message}`); + await SysTestKit.print(message); + console.info(`${TAG}${this.suiteService.getCurrentRunningSuite().description} suiteDone print success`); + } + } + + async specStart() { + if (this.abilityDelegatorArguments !== null) { + let message = '\n' + 'OHOS_REPORT_STATUS: class=' + this.suiteService.getCurrentRunningSuite().description; + message += '\n' + 'OHOS_REPORT_STATUS: current=' + (++this.index); + message += '\n' + 'OHOS_REPORT_STATUS: id=JS'; + message += '\n' + 'OHOS_REPORT_STATUS: numtests=' + this.specService.getTestTotal(); + message += '\n' + 'OHOS_REPORT_STATUS: stream='; + message += '\n' + 'OHOS_REPORT_STATUS: test=' + this.specService.currentRunningSpec.description; + message += '\n' + 'OHOS_REPORT_STATUS_CODE: 1' + '\n'; + console.info(`${message}`); + await SysTestKit.print(message); + console.info(`${TAG}${this.specService.currentRunningSpec.description} specStart start print success`); + } + } + + async specDone() { + if (this.abilityDelegatorArguments !== null) { + let message = '\n' + 'OHOS_REPORT_STATUS: class=' + this.suiteService.getCurrentRunningSuite().description; + message += '\n' + 'OHOS_REPORT_STATUS: current=' + (this.index); + message += '\n' + 'OHOS_REPORT_STATUS: id=JS'; + message += '\n' + 'OHOS_REPORT_STATUS: numtests=' + this.specService.getTestTotal(); + let errorMsg = ''; + if (this.specService.currentRunningSpec.error) { + message += '\n' + 'OHOS_REPORT_STATUS: stack=' + this.specService.currentRunningSpec.error.message; + message += '\n' + 'OHOS_REPORT_STATUS: stream='; + message += '\n' + 'Error in ' + this.specService.currentRunningSpec.description; + message += '\n' + this.specService.currentRunningSpec.error.message; + message += '\n' + 'OHOS_REPORT_STATUS: test=' + this.specService.currentRunningSpec.description; + message += '\n' + 'OHOS_REPORT_STATUS_CODE: -1' + '\n'; + } else if (this.specService.currentRunningSpec) { + if (this.specService.currentRunningSpec.fail) { + errorMsg = this.specService.currentRunningSpec.fail?.message; + message += '\n' + 'OHOS_REPORT_STATUS: stack=' + errorMsg; + message += '\n' + 'OHOS_REPORT_STATUS: stream='; + message += '\n' + 'Error in ' + this.specService.currentRunningSpec.description; + message += '\n' + errorMsg + '\n' + 'OHOS_REPORT_STATUS: test=' + this.specService.currentRunningSpec.description; + message += '\n' + 'OHOS_REPORT_STATUS_CODE: -2' + '\n'; + } else { + message += '\n' + 'OHOS_REPORT_STATUS: stream='; + message += '\n' + 'OHOS_REPORT_STATUS: test=' + this.specService.currentRunningSpec.description; + message += '\n' + 'OHOS_REPORT_STATUS_CODE: 0' + '\n'; + } + } else { + message += '\n'; + } + message += 'OHOS_REPORT_STATUS: consuming=' + this.specService.currentRunningSpec.duration + '\n'; + console.info(`${message}`); + await SysTestKit.print(message); + console.info(`${TAG}${this.specService.currentRunningSpec.description} specDone end print success`); + } + } +} + +export default OhReport; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/report/ReportExtend.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/report/ReportExtend.js new file mode 100644 index 0000000..852fbcd --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/module/report/ReportExtend.js @@ -0,0 +1,137 @@ +/* + * Copyright (c) 2021-2022 Huawei Device Co., Ltd. + * Licensed 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. + */ + +class ReportExtend { + constructor(fileModule) { + this.id = 'extend'; + this.fileModule = fileModule; + } + + init(coreContext) { + this.coreContext = coreContext; + this.suiteService = this.coreContext.getDefaultService('suite'); + } + + taskStart() { + + } + + taskDone() { + const report = { + tag: 'testsuites', + name: 'summary_report', + timestamp: new Date().toDateString(), + time: '1', + errors: 0, + failures: 0, + tests: 0, + children: [] + }; + const rootSuite = this.suiteService.rootSuite; + if (rootSuite && rootSuite.childSuites) { + for (let testsuite of rootSuite.childSuites) { + let suiteReport = { + tag: 'testsuite', + name: testsuite['description'], + errors: 0, + tests: 0, + failures: 0, + time: '0.1', + children: [] + }; + let specs = testsuite['specs']; + for (let testcase of specs) { + report.tests++; + suiteReport.tests++; + let caseReport = { + tag: 'testcase', + name: testcase['description'], + status: 'run', + time: '0.0', + classname: testsuite['description'] + }; + if (testcase.error) { + caseReport['result'] = false; + caseReport['children'] = [{ + tag: 'error', + type: '', + message: testcase.error.message + }]; + report.errors++; + suiteReport.errors++; + } else if (testcase.result.failExpects.length > 0) { + caseReport['result'] = false; + let message = ''; + testcase.result.failExpects.forEach(failExpect => { + message += failExpect.message || ('expect ' + failExpect.actualValue + ' ' + failExpect.checkFunc + ' ' + (failExpect.expectValue || '')) + ';'; + }); + caseReport['children'] = [{ + tag: 'failure', + type: '', + message: message + }]; + report.failures++; + suiteReport.failures++; + } else { + caseReport['result'] = true; + } + suiteReport.children.push(caseReport); + } + report.children.push(suiteReport); + } + } + + let reportXml = '\n' + json2xml(report); + this.fileModule.writeText({ + uri: 'internal://app/report.xml', + text: reportXml, + success: function () { + console.info('call success callback success'); + }, + fail: function (data, code) { + console.info('call fail callback success:'); + }, + complete: function () { + console.info('call complete callback success'); + } + }); + } +} + +function json2xml(json) { + let tagName; + let hasChildren = false; + let childrenStr = ''; + let attrStr = ''; + for (let key in json) { + if (key === 'tag') { + tagName = json[key]; + } else if (key === 'children') { + if (json[key].length > 0) { + hasChildren = true; + for (let child of json[key]) { + childrenStr += json2xml(child); + } + } + } else { + attrStr += ` ${key}="${json[key]}"`; + } + } + let xml = `<${tagName}${attrStr}`; + xml += hasChildren ? `>${childrenStr}` : '/>'; + return xml; +} + +export default ReportExtend; diff --git a/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/service.js b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/service.js new file mode 100644 index 0000000..74e9aa9 --- /dev/null +++ b/machinelearning/machine_learning/oh_modules/.ohpm/@ohos+hypium@1.0.11/oh_modules/@ohos/hypium/src/main/service.js @@ -0,0 +1,996 @@ +/* + * Copyright (c) 2021-2023 Huawei Device Co., Ltd. + * Licensed 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. + */ + +import SysTestKit from "./module/kit/SysTestKit"; +import {TAG} from './Constant'; + +class AssertException extends Error { + constructor(message) { + super(); + this.name = "AssertException"; + this.message = message; + } +} + +function getFuncWithArgsZero(func, timeout, isStressTest) { + return new Promise(async (resolve, reject) => { + let timer = null; + if (!isStressTest) { + timer = setTimeout(() => { + reject(new Error('execute timeout ' + timeout + 'ms')); + }, timeout); + } + try { + await func(); + } catch (err) { + reject(err); + } + timer !== null ? clearTimeout(timer) : null; + resolve(); + }); +} + +function getFuncWithArgsOne(func, timeout, isStressTest) { + return new Promise(async (resolve, reject) => { + let timer = null; + if (!isStressTest) { + timer = setTimeout(() => { + reject(new Error('execute timeout ' + timeout + 'ms')); + }, timeout);; + } + + function done() { + timer !== null ? clearTimeout(timer) : null; + resolve(); + } + + try { + await func(done); + } catch (err) { + timer !== null ? clearTimeout(timer) : null; + reject(err); + } + }); +} + +function getFuncWithArgsTwo(func, timeout, paramItem, isStressTest) { + return new Promise(async (resolve, reject) => { + let timer = null; + if (!isStressTest) { + timer = setTimeout(() => { + reject(new Error('execute timeout ' + timeout + 'ms')); + }, timeout); + } + + function done() { + timer !== null ? clearTimeout(timer) : null; + resolve(); + } + + try { + await func(done, paramItem); + } catch (err) { + timer !== null ? clearTimeout(timer) : null; + reject(err); + } + }); +} + +function processFunc(coreContext, func) { + let argNames = ((func || '').toString() + .replace(/((\/\/.*$)|(\/\*[\s\S]*?\*\/))/mg, '') + .match(/^(function)?\s*[^\(]*\(\s*([^\)]*)\)/m) || ['', '', ''])[2] + .split(',') // split parameters + .map(item => item.replace(/^\s*(_?)(.+?)\1\s*$/, name => name.split('=')[0].trim())) + .filter(String); + let funcLen = func.length; + let processedFunc; + const config = coreContext.getDefaultService('config'); + config.setSupportAsync(true); + const timeout = + (config.timeout === undefined ? 5000 : config.timeout); + const isStressTest = (coreContext.getServices('dataDriver') !== undefined || config.getStress() > 1); + switch (funcLen) { + case 0: { + processedFunc = function () { + return getFuncWithArgsZero(func, timeout, isStressTest); + }; + break; + } + case 1: { + if (argNames[0] === 'data') { + processedFunc = function (paramItem) { + func(paramItem); + }; + } else { + processedFunc = function () { + return getFuncWithArgsOne(func, timeout, isStressTest); + }; + } + break; + } + default: { + processedFunc = function (paramItem) { + return getFuncWithArgsTwo(func, timeout, paramItem, isStressTest); + }; + break; + } + } + return processedFunc; +} + +function secureRandomNumber() { + return crypto.randomBytes(8).readUInt32LE() / 0xffffffff; +} + +class SuiteService { + constructor(attr) { + this.id = attr.id; + this.rootSuite = new SuiteService.Suite({}); + this.currentRunningSuite = this.rootSuite; + this.suitesStack = [this.rootSuite]; + } + + describe(desc, func) { + const configService = this.coreContext.getDefaultService('config'); + if (configService.filterSuite(desc)) { + console.info(`${TAG}filter suite : ${desc}`); + return; + } + const suite = new SuiteService.Suite({description: desc}); + if (typeof this.coreContext.getServices('dataDriver') !== 'undefined' && configService['dryRun'] !== 'true') { + let suiteStress = this.coreContext.getServices('dataDriver').dataDriver.getSuiteStress(desc); + for (let i = 1; i < suiteStress; i++) { + this.currentRunningSuite.childSuites.push(suite); + } + } + this.currentRunningSuite.childSuites.push(suite); + this.currentRunningSuite = suite; + this.suitesStack.push(suite); + func.call(); + let childSuite = this.suitesStack.pop(); + if (this.suitesStack.length === 0) { + this.currentRunningSuite = childSuite; + this.suitesStack.push(childSuite); + } + if (this.suitesStack.length > 1) { + this.currentRunningSuite = this.suitesStack.pop(); + } else { + this.currentRunningSuite = this.suitesStack.pop(); + this.suitesStack.push(this.currentRunningSuite); + } + } + + beforeAll(func) { + this.currentRunningSuite.beforeAll.push(processFunc(this.coreContext, func)); + } + + beforeEach(func) { + this.currentRunningSuite.beforeEach.push(processFunc(this.coreContext, func)); + } + + beforeItSpecified(itDescs, func) { + this.currentRunningSuite.beforeItSpecified.set(itDescs, processFunc(this.coreContext, func)); + } + + afterItSpecified(itDescs, func) { + this.currentRunningSuite.afterItSpecified.set(itDescs, processFunc(this.coreContext, func)); + } + + afterAll(func) { + this.currentRunningSuite.afterAll.push(processFunc(this.coreContext, func)); + } + + afterEach(func) { + this.currentRunningSuite.afterEach.push(processFunc(this.coreContext, func)); + } + + getCurrentRunningSuite() { + return this.currentRunningSuite; + } + + setCurrentRunningSuite(suite) { + this.currentRunningSuite = suite; + } + + traversalResults(suite, obj, breakOnError) { + if (suite.childSuites.length === 0 && suite.specs.length === 0) { + return obj; + } + if (suite.specs.length > 0) { + for (const itItem of suite.specs) { + obj.total++; + if (breakOnError && (obj.error > 0 || obj.failure > 0)) { // breakOnError模式 + continue; + } + if (itItem.error) { + obj.error++; + } else if (itItem.fail) { + obj.failure++; + } else if (itItem.pass === true) { + obj.pass++; + } + } + } + + obj.duration += suite.duration; + + if (suite.childSuites.length > 0) { + for (const suiteItem of suite.childSuites) { + this.traversalResults(suiteItem, obj, breakOnError); + } + } + } + + async setSuiteResults(suite, error, coreContext) { + if (suite.childSuites.length === 0 && suite.specs.length === 0) { + return obj; + } + if (suite.specs.length > 0) { + const specService = coreContext.getDefaultService('spec'); + for (const specItem of suite.specs) { + specService.setCurrentRunningSpec(specItem); + if (error instanceof AssertException) { + specItem.fail = error; + } else { + specItem.error = error; + } + await coreContext.fireEvents('spec', 'specStart', specItem); + await coreContext.fireEvents('spec', 'specDone', specItem); + } + } + if (suite.childSuites.length > 0) { + for (const suiteItem of suite.childSuites) { + await this.setSuiteResults(suiteItem, error, coreContext); + } + } + } + + getSummary() { + let suiteService = this.coreContext.getDefaultService('suite'); + let rootSuite = suiteService.rootSuite; + const specService = this.coreContext.getDefaultService('spec'); + const configService = this.coreContext.getDefaultService('config'); + let breakOnError = configService.isBreakOnError(); + let isError = specService.getStatus(); + let isBreaKOnError = breakOnError && isError; + let obj = {total: 0, failure: 0, error: 0, pass: 0, ignore: 0, duration: 0}; + for (const suiteItem of rootSuite.childSuites) { + this.traversalResults(suiteItem, obj, isBreaKOnError); + } + obj.ignore = obj.total - obj.pass - obj.failure - obj.error; + return obj; + } + + init(coreContext) { + this.coreContext = coreContext; + } + + traversalSuites(suite, obj, configService) { + if (suite.childSuites.length === 0 && suite.specs.length === 0) { + return []; + } + if (suite.specs.length > 0) { + let itArray = []; + for (const itItem of suite['specs']) { + if (!configService.filterDesc(suite.description, itItem.description, itItem.fi, null)) { + itArray.push({'itName': itItem.description}); + } + } + obj[suite.description] = itArray; + } + + if (suite.childSuites.length > 0) { + let suiteArray = []; + for (const suiteItem of suite.childSuites) { + let suiteObj = {}; + this.traversalSuites(suiteItem, suiteObj, configService); + if (!configService.filterSuite(suiteItem.description)) { + suiteArray.push(suiteObj); + } + } + obj.suites = suiteArray; + } + } + + async dryRun(abilityDelegator) { + const configService = this.coreContext.getDefaultService('config'); + let testSuitesObj = {}; + let suitesArray = []; + for (const suiteItem of this.rootSuite.childSuites) { + let obj = {}; + this.traversalSuites(suiteItem, obj, configService); + if (!configService.filterSuite(suiteItem.description)) { + suitesArray.push(obj); + } + } + testSuitesObj['suites'] = suitesArray; + + let strJson = JSON.stringify(testSuitesObj); + let strLen = strJson.length; + let maxLen = 500; + let maxCount = Math.floor(strLen / maxLen); + + for (let count = 0; count <= maxCount; count++) { + await SysTestKit.print(strJson.substring(count * maxLen, (count + 1) * maxLen)); + } + console.info(`${TAG}dryRun print success`); + abilityDelegator.finishTest('dry run finished!!!', 0, () => { }); + } + + execute() { + const configService = this.coreContext.getDefaultService('config'); + if (configService.filterValid.length !== 0) { + this.coreContext.fireEvents('task', 'incorrectFormat'); + return; + } + + if (configService.isRandom() && this.rootSuite.childSuites.length > 0) { + this.rootSuite.childSuites.sort(function () { + return Math.random().toFixed(1) > 0.5 ? -1 : 1; + }); + this.currentRunningSuite = this.rootSuite.childSuites[0]; + } + + if (configService.isSupportAsync()) { + let asyncExecute = async () => { + await this.coreContext.fireEvents('task', 'taskStart'); + await this.rootSuite.asyncRun(this.coreContext); + }; + asyncExecute().then(async () => { + await this.coreContext.fireEvents('task', 'taskDone'); + }); + } else { + this.coreContext.fireEvents('task', 'taskStart'); + this.rootSuite.run(this.coreContext); + this.coreContext.fireEvents('task', 'taskDone'); + } + } + + apis() { + const _this = this; + return { + describe: function (desc, func) { + return _this.describe(desc, func); + }, + beforeItSpecified: function (itDescs, func) { + return _this.beforeItSpecified(itDescs, func); + }, + afterItSpecified: function (itDescs, func) { + return _this.afterItSpecified(itDescs, func); + }, + beforeAll: function (func) { + return _this.beforeAll(func); + }, + beforeEach: function (func) { + return _this.beforeEach(func); + }, + afterAll: function (func) { + return _this.afterAll(func); + }, + afterEach: function (func) { + return _this.afterEach(func); + } + }; + } +} + +SuiteService.Suite = class { + constructor(attrs) { + this.description = attrs.description || ''; + this.childSuites = []; + this.specs = []; + this.beforeAll = []; + this.afterAll = []; + this.beforeItSpecified = new Map(); + this.afterItSpecified = new Map(); + this.beforeEach = []; + this.afterEach = []; + this.duration = 0; + this.hookError = null; + } + + pushSpec(spec) { + this.specs.push(spec); + } + + removeSpec(desc) { + this.specs = this.specs.filter((item, index) => { + return item.description !== desc; + }); + } + + getSpecsNum() { + return this.specs.length; + } + + isRun(coreContext) { + const configService = coreContext.getDefaultService('config'); + const suiteService = coreContext.getDefaultService('suite'); + const specService = coreContext.getDefaultService('spec'); + let breakOnError = configService.isBreakOnError(); + let isError = specService.getStatus(); + return breakOnError && isError; + } + + run(coreContext) { + const suiteService = coreContext.getDefaultService('suite'); + suiteService.setCurrentRunningSuite(this); + if (this.description !== '') { + coreContext.fireEvents('suite', 'suiteStart', this); + } + this.runHookFunc('beforeAll'); + if (this.specs.length > 0) { + const configService = coreContext.getDefaultService('config'); + if (configService.isRandom()) { + this.specs.sort(function () { + return Math.random().toFixed(1) > 0.5 ? -1 : 1; + }); + } + for (let spec in this.specs) { + let isBreakOnError = this.isRun(coreContext); + if (isBreakOnError) { + break; + } + this.runHookFunc('beforeEach'); + spec.run(coreContext); + this.runHookFunc('afterEach'); + } + } + if (this.childSuites.length > 0) { + for (let suite in this.childSuites) { + let isBreakOnError = this.isRun(coreContext); + if (isBreakOnError) { + break; + } + suite.run(coreContext); + suiteService.setCurrentRunningSuite(suite); + } + } + this.runHookFunc('afterAll'); + if (this.description !== '') { + coreContext.fireEvents('suite', 'suiteDone'); + } + } + + async asyncRunSpecs(coreContext) { + const configService = coreContext.getDefaultService('config'); + if (configService.isRandom()) { + this.specs.sort(function () { + return Math.random().toFixed(1) > 0.5 ? -1 : 1; + }); + } + const specService = coreContext.getDefaultService('spec'); + for (let specItem of this.specs) { + specService.setCurrentRunningSpec(specItem); + // 遇错即停模式,发现用例有问题，直接返回，不在执行后面的it + let isBreakOnError = this.isRun(coreContext); + if (isBreakOnError) { + console.log("break description :" + this.description); + break; + } + await coreContext.fireEvents('spec', 'specStart', specItem); + try { + for (const [itNames, hookFunc] of this.beforeItSpecified) { + if ((Object.prototype.toString.call(itNames) === '[object Array]' && itNames.includes(specItem.description)) || + (Object.prototype.toString.call(itNames) === '[object String]' && itNames === specItem.description)) { + await Reflect.apply(hookFunc, null, []); + } + break; + } + await this.runAsyncHookFunc('beforeEach'); + await specItem.asyncRun(coreContext); + for (const [itNames, hookFunc] of this.afterItSpecified) { + if ((Object.prototype.toString.call(itNames) === '[object Array]' && itNames.includes(specItem.description)) || + (Object.prototype.toString.call(itNames) === '[object String]' && itNames === specItem.description)) { + await Reflect.apply(hookFunc, null, []); + } + break; + } + await this.runAsyncHookFunc('afterEach'); + } catch (e) { + console.error(`${TAG}${e?.stack}`); + if (e instanceof AssertException) { + specItem.fail = e; + } else { + specItem.error = e; + } + specService.setStatus(true); + } + specItem.setResult(); + await coreContext.fireEvents('spec', 'specDone', specItem); + specService.setCurrentRunningSpec(null); + } + } + + async asyncRunChildSuites(coreContext) { + for (let i = 0; i < this.childSuites.length; i++) { + // 遇错即停模式, 发现用例有问题，直接返回，不在执行后面的description + let isBreakOnError = this.isRun(coreContext); + if (isBreakOnError) { + console.log(`${TAG}break description : ${this.description}`); + break; + } + await this.childSuites[i].asyncRun(coreContext); + } + } + + async asyncRun(coreContext) { + const suiteService = coreContext.getDefaultService('suite'); + const specService = coreContext.getDefaultService('spec'); + + suiteService.setCurrentRunningSuite(this); + suiteService.suitesStack.push(this); + if (this.description !== '') { + await coreContext.fireEvents('suite', 'suiteStart', this); + } + + try { + await this.runAsyncHookFunc('beforeAll'); + } catch (error) { + console.error(`${TAG}${error?.stack}`); + this.hookError = error; + } + + if (this.hookError !== null) { + specService.setStatus(true); + await suiteService.setSuiteResults(this, this.hookError, coreContext); + } + + if (this.specs.length > 0 && this.hookError === null) { + await this.asyncRunSpecs(coreContext); + } + + if (this.childSuites.length > 0 && this.hookError === null) { + await this.asyncRunChildSuites(coreContext); + } + + try { + await this.runAsyncHookFunc('afterAll'); + } catch (error) { + console.error(`${TAG}${error?.stack}`); + this.hookError = error; + specService.setStatus(true); + } + + if (this.description !== '') { + await coreContext.fireEvents('suite', 'suiteDone'); + let childSuite = suiteService.suitesStack.pop(); + if (suiteService.suitesStack.length === 0) { + suiteService.suitesStack.push(childSuite); + } + if (suiteService.suitesStack.length > 1) { + suiteService.setCurrentRunningSuite(suiteService.suitesStack.pop()); + } else { + let currentRunningSuite = suiteService.suitesStack.pop(); + suiteService.setCurrentRunningSuite(currentRunningSuite); + suiteService.suitesStack.push(currentRunningSuite); + } + } + } + + runHookFunc(hookName) { + if (this[hookName] && this[hookName].length > 0) { + this[hookName].forEach(func => { + try { + func(); + } catch (e) { + console.error(`${TAG}${e.stack}`); + } + }); + } + } + + async runAsyncHookFunc(hookName) { + for (const hookItem of this[hookName]) { + try { + await hookItem(); + } catch (error) { + error['message'] += `, error in ${hookName} function`; + throw error; + } + + } + } +}; + +class SpecService { + constructor(attr) { + this.id = attr.id; + this.totalTest = 0; + this.hasError = false; + } + + init(coreContext) { + this.coreContext = coreContext; + } + + setCurrentRunningSpec(spec) { + this.currentRunningSpec = spec; + } + + setStatus(obj) { + this.hasError = obj; + } + + getStatus() { + return this.hasError; + } + + getTestTotal() { + return this.totalTest; + } + + getCurrentRunningSpec() { + return this.currentRunningSpec; + } + + it(desc, filter, func) { + const configService = this.coreContext.getDefaultService('config'); + const currentSuiteName = this.coreContext.getDefaultService('suite').getCurrentRunningSuite().description; + if (configService.filterDesc(currentSuiteName, desc, filter, this.coreContext)) { + console.info(`${TAG}filter it :${desc}`); + } else { + let processedFunc = processFunc(this.coreContext, func); + const spec = new SpecService.Spec({description: desc, fi: filter, fn: processedFunc}); + const suiteService = this.coreContext.getDefaultService('suite'); + if (typeof this.coreContext.getServices('dataDriver') !== 'undefined' && configService['dryRun'] !== 'true') { + let specStress = this.coreContext.getServices('dataDriver').dataDriver.getSpecStress(desc); + for (let i = 1; i < specStress; i++) { + this.totalTest++; + suiteService.getCurrentRunningSuite().pushSpec(spec); + } + } + + // dryRun 状态下不统计压力测试重复数据 + if (configService['dryRun'] !== 'true') { + let stress = configService.getStress(); // 命令配置压力测试 + console.info(`${TAG}stress length : ${stress}`); + for (let i = 1; i < stress; i++) { + this.totalTest++; + suiteService.getCurrentRunningSuite().pushSpec(spec); + } + } + this.totalTest++; + suiteService.getCurrentRunningSuite().pushSpec(spec); + } + } + + apis() { + const _this = this; + return { + it: function (desc, filter, func) { + return _this.it(desc, filter, func); + } + }; + } +} + +SpecService.Spec = class { + constructor(attrs) { + this.description = attrs.description || ''; + this.fi = attrs.fi; + this.fn = attrs.fn || function () { + }; + this.fail = undefined; + this.error = undefined; + this.duration = 0; + this.startTime = 0; + this.isExecuted = false; // 当前用例是否执行 + } + + setResult() { + if (this.fail) { + this.pass = false; + } else { + this.pass = true; + } + } + + run(coreContext) { + const specService = coreContext.getDefaultService('spec'); + specService.setCurrentRunningSpec(this); + coreContext.fireEvents('spec', 'specStart', this); + this.isExecuted = true; + try { + let dataDriver = coreContext.getServices('dataDriver'); + if (typeof dataDriver === 'undefined') { + this.fn(); + } else { + let suiteParams = dataDriver.dataDriver.getSuiteParams(); + let specParams = dataDriver.dataDriver.getSpecParams(); + console.info(`${TAG}[suite params] ${JSON.stringify(suiteParams)}`); + console.info(`${TAG}[spec params] ${JSON.stringify(specParams)}`); + if (this.fn.length === 0) { + this.fn(); + } else if (specParams.length === 0) { + this.fn(suiteParams); + } else { + specParams.forEach(paramItem => this.fn(Object.assign({}, paramItem, suiteParams))); + } + } + this.setResult(); + } catch (e) { + this.error = e; + specService.setStatus(true); + } + coreContext.fireEvents('spec', 'specDone', this); + } + + async asyncRun(coreContext) { + const dataDriver = coreContext.getServices('dataDriver'); + if (typeof dataDriver === 'undefined') { + await this.fn(); + } else { + const suiteParams = dataDriver.dataDriver.getSuiteParams(); + const specParams = dataDriver.dataDriver.getSpecParams(); + console.info(`[suite params] ${JSON.stringify(suiteParams)}`); + console.info(`[spec params] ${JSON.stringify(specParams)}`); + if (this.fn.length === 0) { + await this.fn(); + } else if (specParams.length === 0) { + await this.fn(suiteParams); + } else { + for (const paramItem of specParams) { + await this.fn(Object.assign({}, paramItem, suiteParams)); + } + } + } + + this.isExecuted = true; + } + + filterCheck(coreContext) { + const specService = coreContext.getDefaultService('spec'); + specService.setCurrentRunningSpec(this); + return true; + } +}; + +class ExpectService { + constructor(attr) { + this.id = attr.id; + this.matchers = {}; + } + + expect(actualValue) { + return this.wrapMatchers(actualValue); + } + + init(coreContext) { + this.coreContext = coreContext; + this.addMatchers(this.basicMatchers()); + } + + addMatchers(matchers) { + for (const matcherName in matchers) { + if (Object.prototype.hasOwnProperty.call(matchers, matcherName)) { + this.matchers[matcherName] = matchers[matcherName]; + } + } + } + + basicMatchers() { + return { + assertTrue: function (actualValue) { + return { + pass: (actualValue) === true, + message: 'expect true, actualValue is ' + actualValue + }; + }, + assertEqual: function (actualValue, args) { + return { + pass: (actualValue) === args[0], + expectValue: args[0], + message: 'expect ' + actualValue + ' equals ' + args[0] + }; + }, + assertThrow: function (actual, args) { + const result = { + pass: false + }; + if (typeof actual !== 'function') { + result.message = 'toThrow\'s Actual should be a Function'; + } else { + let hasThrow = false; + let throwError; + try { + actual(); + } catch (e) { + hasThrow = true; + throwError = e; + } + if (!hasThrow) { + result.message = 'function did not throw an exception'; + } else if (throwError && throwError.message === args[0]) { + result.pass = true; + } else { + result.message = `expect to throw ${args[0]} , actual throw ${throwError.message}`; + } + } + return result; + } + }; + } + + wrapMatchers(actualValue) { + const _this = this; + const wrappedMatchers = { + // 翻转标识 + isNot: false, + + // 翻转方法 + not: function () { + this.isNot = true; + return this; + } + }; + const specService = _this.coreContext.getDefaultService('spec'); + const currentRunningSpec = specService.getCurrentRunningSpec(); + const currentRunningSuite = _this.coreContext.getDefaultService('suite').getCurrentRunningSuite(); + for (const matcherName in this.matchers) { + let result = Object.prototype.hasOwnProperty.call(this.matchers, matcherName); + if (!result) { + continue; + } + if (matcherName.search('assertPromise') == 0) { + wrappedMatchers[matcherName] = async function () { + await _this.matchers[matcherName](actualValue, arguments).then(function (result) { + if (wrappedMatchers.isNot) { + result.pass = !result.pass; + } + result.actualValue = actualValue; + result.checkFunc = matcherName; + if (!result.pass) { + const assertError = new AssertException(result.message); + currentRunningSpec ? currentRunningSpec.fail = assertError : currentRunningSuite.hookError = assertError; + throw assertError; + } + }); + }; + } else { + wrappedMatchers[matcherName] = function () { + const result = _this.matchers[matcherName](actualValue, arguments); + if (wrappedMatchers.isNot) { + result.pass = !result.pass; + } + result.actualValue = actualValue; + result.checkFunc = matcherName; + if (!result.pass) { + const assertError = new AssertException(result.message); + currentRunningSpec ? currentRunningSpec.fail = assertError : currentRunningSuite.hookError = assertError; + throw assertError; + } + }; + } + } + return wrappedMatchers; + } + + apis() { + const _this = this; + return { + expect: function (actualValue) { + return _this.expect(actualValue); + } + }; + } +} + +class ReportService { + constructor(attr) { + this.id = attr.id; + } + + init(coreContext) { + this.coreContext = coreContext; + this.specService = this.coreContext.getDefaultService('spec'); + this.suiteService = this.coreContext.getDefaultService('suite'); + this.duration = 0; + } + + taskStart() { + console.info(`${TAG}[start] start run suites`); + } + + async suiteStart() { + console.info(`${TAG}[suite start]${this.suiteService.getCurrentRunningSuite().description}`); + } + + async specStart() { + console.info(`${TAG}start running case '${this.specService.currentRunningSpec.description}'`); + this.index = this.index + 1; + let spec = this.specService.currentRunningSpec; + spec.startTime = await SysTestKit.getRealTime(); + } + + async specDone() { + let msg = ''; + let spec = this.specService.currentRunningSpec; + let suite = this.suiteService.currentRunningSuite; + spec.duration = await SysTestKit.getRealTime() - spec.startTime; + suite.duration += spec.duration; + if (spec.error) { + this.formatPrint('error', spec.description + ' ; consuming ' + spec.duration + 'ms'); + this.formatPrint('errorDetail', spec.error); + } else if (spec.fail) { + this.formatPrint('fail', spec.description + ' ; consuming ' + spec.duration + 'ms'); + this.formatPrint('failDetail', spec.fail?.message); + } else { + this.formatPrint('pass', spec.description + ' ; consuming ' + spec.duration + 'ms'); + } + this.formatPrint(this.specService.currentRunningSpec.error, msg); + } + + suiteDone() { + let suite = this.suiteService.currentRunningSuite; + let message = suite.hookError ? `, ${suite.hookError?.message}` : ''; + console.info(`[suite end] ${suite.description} consuming ${suite.duration} ms${message}`); + } + + taskDone() { + let msg = ''; + let summary = this.suiteService.getSummary(); + msg = 'total cases:' + summary.total + ';failure ' + summary.failure + ',' + 'error ' + summary.error; + msg += ',pass ' + summary.pass + '; consuming ' + summary.duration + 'ms'; + console.info(`${TAG}${msg}`); + console.info(`${TAG}[end] run suites end`); + } + + incorrectFormat() { + if (this.coreContext.getDefaultService('config').filterValid.length !== 0) { + this.coreContext.getDefaultService('config').filterValid.forEach(function (item) { + console.info(`${TAG}this param ${item} is invalid`); + }); + } + } + + formatPrint(type, msg) { + switch (type) { + case 'pass': + console.info(`${TAG}[pass]${msg}`); + break; + case 'fail': + console.info(`${TAG}[fail]${msg}`); + break; + case 'failDetail': + console.info(`${TAG}[failDetail]${msg}`); + break; + case 'error': + console.info(`${TAG}[error]${msg}`); + break; + case 'errorDetail': + console.info(`${TAG}[errorDetail]${msg}`); + break; + } + } + + sleep(numberMillis) { + var now = new Date(); + var exitTime = now.getTime() + numberMillis; + while (true) { + now = new Date(); + if (now.getTime() > exitTime) { + return; + } + } + } +} + +export { + SuiteService, + SpecService, + ExpectService, + ReportService +};

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