Merge pull request #570 from Luis-Fernando-Molina/develop

Contribution: Machine Learning Implementation up to Features and Labels + Chinese and Bahasa languages added

Projects/ProjectsSchema.json

@@ -845,15 +845,6 @@
                     "fileName": "LearningSystem.js",
                     "folderName": "Learning-Bot/Low-Frequency-Learning"
                 }
-            ],
-            "algorithmModules": [
-                {
-                    "name": "Time Series Forcasting Tensor Flow JS",
-                    "propertyName": "timeSeriesForcastingTensorFlowJS",
-                    "functionName": "newSuperalgosAlgorithmModulesTimeSeriesForcastingTensorFlowJS",
-                    "fileName": "LearningAlgorithm.js",
-                    "folderName": "Learning-Bot/Low-Frequency-Learning/Time-Series-Forcasting/Tensor-Flow-JS"
-                }
             ]
         },
         "CL": {}
@@ -927,7 +918,16 @@
         "TS": {
             "globals":[],
             "functionLibraries": [],
-            "utilities": []
+            "utilities": [],
+            "botModules": [
+                {
+                    "name": "TensorFlow Library",
+                    "propertyName": "tensorFlowLibrary",
+                    "functionName": "newTensorFlowBotModulesTensorFlowLibrary",
+                    "fileName": "TensorFlowLibrary.js",
+                    "folderName": "Learning-Bot/Low-Frequency-Learning"
+                }
+            ]
         }
     }
 ]

Projects/Superalgos/Schemas/Docs-Topics/docs-languages-005-docs-in-simplified-chinese-mandarin.json

@@ -0,0 +1,27 @@
+{
+    "topic": "Docs Languages",
+    "pageNumber": "5",
+    "type": "Docs In Simplified Chinese-Mandarin",
+    "definition": {
+        "text": "The Docs articles are fully written in English. The system allow users to search / browse articles in other languages as well, as long as other users contribute translations."
+    },
+    "paragraphs": [
+        {
+            "style": "Text",
+            "text": "Superalgos and any other integrated project are written in English, since English is considered the default language. Node types, variable names, etc., all is originally in English language. "
+        },
+        {
+            "style": "Text",
+            "text": "The Docs content can be translated by anyone willing to contribute some time doing so. That helps users to read the contents of the Docs in their native language. "
+        },
+        {
+            "style": "Success",
+            "text": " Users can switch between languages using the links provided at the footer of every page at the Docs. ",
+            "updated": 1609085068937
+        },
+        {
+            "style": "Note",
+            "text": "You can only add or delete pages to the Docs if you are navigating it in English, because English is the default language, and from there pages are later translated. "
+        }
+    ]
+}

Projects/Superalgos/Schemas/Docs-Topics/docs-languages-006-docs-in-bahasa.json

@@ -0,0 +1,27 @@
+{
+    "topic": "Docs Languages",
+    "pageNumber": "6",
+    "type": "Docs In Bahasa",
+    "definition": {
+        "text": "The Docs articles are fully written in English. The system allow users to search / browse articles in other languages as well, as long as other users contribute translations."
+    },
+    "paragraphs": [
+        {
+            "style": "Text",
+            "text": "Superalgos and any other integrated project are written in English, since English is considered the default language. Node types, variable names, etc., all is originally in English language. "
+        },
+        {
+            "style": "Text",
+            "text": "The Docs content can be translated by anyone willing to contribute some time doing so. That helps users to read the contents of the Docs in their native language. "
+        },
+        {
+            "style": "Success",
+            "text": " Users can switch between languages using the links provided at the footer of every page at the Docs. ",
+            "updated": 1609085068937
+        },
+        {
+            "style": "Note",
+            "text": "You can only add or delete pages to the Docs if you are navigating it in English, because English is the default language, and from there pages are later translated. "
+        }
+    ]
+}

Projects/Superalgos/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/LearningSystem.js

@@ -26,27 +26,7 @@ exports.newSuperalgosBotModulesLearningSystem = function (processIndex) {
     let sessionParameters
     let dynamicIndicators
 
-    let learningAlgorithmName = TS.projects.superalgos.globals.processConstants.CONSTANTS_BY_PROCESS_INDEX_MAP.get(processIndex).SESSION_NODE.learningParameters.learningAlgorithm.config.codeName
-    let learningAlgorithmModuleObject
-    /* 
-    We will scan the project schema until we find the module that will run the algorithm
-    defined by the user at the UI / Session Parameters.
-    */
-    for (let i = 0; i < TS.projects.superalgos.globals.taskConstants.PROJECTS_SCHEMA.length; i++) {
-        let project = TS.projects.superalgos.globals.taskConstants.PROJECTS_SCHEMA[i]
-        if (project.name !== TS.projects.superalgos.globals.taskConstants.PROJECT_DEFINITION_NODE.config.codeName) { continue }
-        for (let j = 0; j < project.TS.algorithmModules.length; j++) {
-            algorithmModuleDefinition = project.TS.algorithmModules[j]
-            if (algorithmModuleDefinition.name === learningAlgorithmName) {
-
-                TS.projects.superalgos.globals.processVariables.TOTAL_PROCESS_INSTANCES_CREATED++
-                let project = TS.projects[TS.projects.superalgos.globals.taskConstants.PROJECT_DEFINITION_NODE.config.codeName.toLowerCase()]
-                let botModule = project.algorithmModules[algorithmModuleDefinition.propertyName]
-                let moduleFunction = botModule[algorithmModuleDefinition.functionName]
-                learningAlgorithmModuleObject = moduleFunction(processIndex)
-            }
-        }
-    }
+    let machineLearningLibraryModuleObject
 
     return thisObject
 
@@ -121,9 +101,38 @@ exports.newSuperalgosBotModulesLearningSystem = function (processIndex) {
         }
 
         /*
-        Initialize the Learning Algorithm
+        Initialize the Machine Learning Library
         */
-        learningAlgorithmModuleObject.initialize(onInitializeReady)
+
+        let machineLearningLibrary = learningSystem.machineLearningLibrary
+
+        if (machineLearningLibrary === undefined) {
+            // TODO 
+        }
+        /* 
+        We will scan the project schema until we find the machine learning library
+        defined by the user at the UI.
+        */
+        for (let i = 0; i < TS.projects.superalgos.globals.taskConstants.PROJECTS_SCHEMA.length; i++) {
+            let projectSchemaProject = TS.projects.superalgos.globals.taskConstants.PROJECTS_SCHEMA[i]
+            if (projectSchemaProject.name !== machineLearningLibrary.project) { continue }
+
+            for (let j = 0; j < projectSchemaProject.TS.botModules.length; j++) {
+                let botModuleDefinition = projectSchemaProject.TS.botModules[j]
+
+                /* 
+                We match the type of the machine learning library with the name at the project schema 
+                */
+                if (botModuleDefinition.name === machineLearningLibrary.type) {
+
+                    let project = TS.projects[machineLearningLibrary.project.toLowerCase()]
+                    let botModule = project.botModules[botModuleDefinition.propertyName]
+                    let moduleFunction = botModule[botModuleDefinition.functionName]
+                    machineLearningLibraryModuleObject = moduleFunction(processIndex)
+                }
+            }
+        }
+        machineLearningLibraryModuleObject.initialize(onInitializeReady)
 
         function onInitializeReady(err) {
             if (err.result === TS.projects.superalgos.globals.standardResponses.DEFAULT_OK_RESPONSE.result) {
@@ -150,8 +159,8 @@ exports.newSuperalgosBotModulesLearningSystem = function (processIndex) {
 
     function finalize() {
 
-        learningAlgorithmModuleObject.finalize()
-        learningAlgorithmModuleObject = undefined
+        machineLearningLibraryModuleObject.finalize()
+        machineLearningLibraryModuleObject = undefined
 
         chart = undefined
         exchange = undefined
@@ -175,11 +184,11 @@ exports.newSuperalgosBotModulesLearningSystem = function (processIndex) {
     }
 
     function mantain() {
-        learningAlgorithmModuleObject.mantain()
+        machineLearningLibraryModuleObject.mantain()
     }
 
     function reset() {
-        learningAlgorithmModuleObject.reset()
+        machineLearningLibraryModuleObject.reset()
 
         learningSystem.highlights = []
         learningSystem.errors = []
@@ -201,7 +210,7 @@ exports.newSuperalgosBotModulesLearningSystem = function (processIndex) {
         exchange = pExchange
         market = pMarket
 
-        learningAlgorithmModuleObject.updateChart(pChart, pExchange, pMarket)
+        machineLearningLibraryModuleObject.updateChart(pChart, pExchange, pMarket)
     }
 
     function buildDynamicIndicators() {
@@ -227,7 +236,7 @@ exports.newSuperalgosBotModulesLearningSystem = function (processIndex) {
             /*
             Initialize the Learning Algorithm
             */
-            learningAlgorithmModuleObject.run(onRun)
+            machineLearningLibraryModuleObject.run(onRun)
 
             function onRun(err) {
                 if (err.result === TS.projects.superalgos.globals.standardResponses.DEFAULT_OK_RESPONSE.result) {
@@ -271,7 +280,7 @@ exports.newSuperalgosBotModulesLearningSystem = function (processIndex) {
         }
 
         /* Here we check if there is a formula to be evaluated */
-        if ((node.type === 'Formula' || node.type === 'Announcement Formula') && evaluating === 'Formulas') {
+        if ((node.type === 'Feature Formula' || node.type === 'Label Formula') && evaluating === 'Formulas') {
             if (node.code !== undefined) {
                 /* We will eval this formula */
                 if (isDescendent === true) {
@@ -396,7 +405,7 @@ exports.newSuperalgosBotModulesLearningSystem = function (processIndex) {
             return
         } else {
             if (value !== undefined) {
-                if (node.type === 'Formula' && isNaN(value)) {
+                if ((node.type === 'Feature Formula' || node.type === 'Label Formula') && isNaN(value)) {
 
                     docs = {
                         project: 'Superalgos',

Projects/Superalgos/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/Time-Series-Forcasting/Tensor-Flow-JS/LearningAlgorithm.js

@@ -1,104 +0,0 @@
-exports.newSuperalgosAlgorithmModulesTimeSeriesForcastingTensorFlowJS = function (processIndex) {
-    /*
-    This module implements a learning algorithm based on Time Series Forcasting with Tensor Flow js,
-    as described at the folliwing web page:
-
-    https://jinglescode.github.io/time-series-forecasting-tensorflowjs/
-    */
-    const MODULE_NAME = 'Time Series Forcasting Tensor Flow JS Learning Algorithm'
-    let thisObject = {
-        updateChart: updateChart,
-        mantain: mantain,
-        reset: reset,
-        run: run,
-        initialize: initialize,
-        finalize: finalize
-    }
-
-    let learningEngine
-    let learningSystem
-    let sessionParameters
-
-    /* 
-    These 3 are the main data structures available to users
-    when writing conditions and formulas.
-    */
-    let chart
-    let exchange
-    let market
-
-    return thisObject
-
-    function initialize(callbackFunction) {
-        learningSystem = TS.projects.superalgos.globals.processVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).SIMULATION_STATE.learningSystem
-        learningEngine = TS.projects.superalgos.globals.processVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).SIMULATION_STATE.learningEngine
-        sessionParameters = TS.projects.superalgos.globals.processConstants.CONSTANTS_BY_PROCESS_INDEX_MAP.get(processIndex).SESSION_NODE.learningParameters
-
-        callbackFunction(TS.projects.superalgos.globals.standardResponses.DEFAULT_OK_RESPONSE)
-    }
-
-    function finalize() {
-        learningEngine = undefined
-        learningSystem = undefined
-        sessionParameters = undefined
-
-        chart = undefined
-        exchange = undefined
-        market = undefined
-    }
-
-    function updateChart(pChart, pExchange, pMarket) {
-        /* 
-          We need these 3 data structures  to be a local objects 
-          accessible while evaluating conditions and formulas.
-          */
-        chart = pChart
-        exchange = pExchange
-        market = pMarket
-    }
-
-    function mantain() {
- 
-    }
-
-    function reset() {
-    }
-
-    function run(callbackFunction) {
-        /*
-        Do your magic here...
-        */
-
-        /*
-        if all is good, return this...
-        */
-        callbackFunction(TS.projects.superalgos.globals.standardResponses.DEFAULT_OK_RESPONSE)
-
-        /*
-        if something is bad, return this...
-        */
-        //callbackFunction(TS.projects.superalgos.globals.standardResponses.DEFAULT_FAIL_RESPONSE)
-
-    }
-
-    function badDefinitionUnhandledException(err, message, node) {
-
-        let docs = {
-            project: 'Superalgos',
-            category: 'Topic',
-            type: 'TS LF Learning Bot Error - ' + message,
-            placeholder: {}
-        }
-
-        learningSystem.addError([node.id, message, docs])
-
-        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> " + message);
-        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> node.name = " + node.name);
-        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> node.type = " + node.type);
-        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> node.config = " + JSON.stringify(node.config));
-        if (err !== undefined) {
-            TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> err.stack = " + err.stack);
-        }
-        throw 'Error Already Recorded'
-    }
-}

Projects/Superalgos/UI/Function-Libraries/DependenciesFilter.js

@@ -43,7 +43,7 @@ function newSuperalgosFunctionLibraryDependenciesFilter() {
         return filters
 
         function recursiveFilter(node) {
-            if (node.type === 'Javascript Code' || node.type === 'Formula' || node.type === 'Feature Formula') {
+            if (node.type === 'Javascript Code' || node.type === 'Formula' || node.type === 'Feature Formula' || node.type === 'Data Formula') {
                 filter(node.code)
             }
 

Projects/Superalgos/UI/Function-Libraries/LearningSessionFunctions.js

@@ -62,16 +62,30 @@ function newSuperalgosFunctionLibraryLearningSessionFunctions() {
 
         let lightingPath = '' +
             'Learning System->' +
-            'Tensor Flow Library->' + 
-            'Execution Environmnet->Supervised Learning->Unsupervised Learning->Self Learning->Reinforcement Learning->' + 
+            'TensorFlow Library->' + 
+            'Execution Environment->Supervised Learning->Unsupervised Learning->Self Learning->Reinforcement Learning->' + 
             'WebGL Backend->NodeJS Backend->WASM Backend->CPU Backend->' + 
-            'Environment Flags->Debug Mode->Production Mode'
+            'Environment Flags->Debug Mode->Production Mode->' +
+            'Supervised Learning->Unsupervised Learning->Self Learning->Reinforcement Learning->' +
+            'Artificial Neural Network->Model->' +
+            'Optimizer->Loss Function->Metrics->' +
+            'Layers API->Code API->' +
+            'Secuential Model->Functional Model->' + 
+            'Input Layer->Secuential Layer->Output Layer->'+
+            'Input Shape->Batch Input Shape->Input Features->Data Feature->Feature Formula->' + 
+            'Output Labels->Data Label->Label Formula->' + 
+            'Advanced Activation Layers->Basic Layers->Convolutional Layers->' +
+            'Conv 1D Layer->Conv 2D Layer->Conv 2D Transpose Layer->Conv 3D Layer->Cropping 2D Layer->Depthwise Convo 2D Layer->Separable Convo 2D Layer->Up Sampling 2D Layer->' +
+            'Activation Layer->Dense Layer->Dropout Layer->Embedding Layer->Flatten Layer->Permutable Layer->Rrepeat Vector Layer->Reshape Layer->Spatial Dropout 1D Layer->' +
+            'Elu Layer->Leaky Relu Layer->Prelu Layer->Relu Layer->Softmax Layer->Thresholded Relu Layer->'+
+            'Dimensionality Units->Activation Function->Batch Size->Dtype->Trainable->Weights->Tensor->Kernel->Bias->' + 
+            'Kernel Initializer->Kernel Constraint->Kernel Regularizer->' +
+            'Bias Initializer->Bias Constraint->Bias Regularizer->' 
 
         let learningSystem = UI.projects.superalgos.functionLibraries.protocolNode.getProtocolNode(node.learningSystemReference.payload.referenceParent, false, true, true, false, false, lightingPath)
 
         lightingPath = '' +
             'Learning Engine->' +
-            'Dynamic Indicators->Indicator Function->' +
             'Learning Current->Learning Last->Previous->' +
             'Learning Episode->' +
             'Episode Base Asset->Episode Quoted Asset->Learning Episode Counters->Learning Episode Statistics->' +

Projects/Superalgos/UI/Spaces/Docs-Space/Footer.js

@@ -93,6 +93,18 @@ function newSuperalgosDocsFooter() {
         } 
         HTML = HTML + '"></a>'
 
+        HTML = HTML + '<a href="#" onClick="UI.projects.superalgos.spaces.docsSpace.changeLanguage(\'CN\')"><img src="Images/Languages/CN.png" title="Simplified Chinese-Mandarin" class="docs-footer-language'
+        if (languageCode === 'CN') { 
+            HTML = HTML + '-selected'
+        } 
+        HTML = HTML + '"></a>'
+
+        HTML = HTML + '<a href="#" onClick="UI.projects.superalgos.spaces.docsSpace.changeLanguage(\'ID\')"><img src="Images/Languages/ID.png" title="Bahasa" class="docs-footer-language'
+        if (languageCode === 'ID') { 
+            HTML = HTML + '-selected'
+        } 
+        HTML = HTML + '"></a>'
+
         HTML = HTML + '</div>'
 
         HTML = HTML + '<div class="docs-footer-cell">'

Projects/Superalgos/UI/Spaces/Floating-Space/UiObject.js

@@ -1197,7 +1197,7 @@ function newUiObject() {
             answer to the command to stop. In those cases, we will stop execute the onStopped funcion anyways so as to 
             return the UI to its default state.
             */
-            setTimeout(returnToDefaultState, 90000)
+            setTimeout(returnToDefaultState, 15000)
             function returnToDefaultState() {
                 if (wasStopped === false) {
                     completeStop(callBackFunction, event)

Projects/Superalgos/UI/Utilities/Languages.js

@@ -24,6 +24,14 @@ function newSuperalgosUtilitiesLanguages() {
                 languageLabel = 'Italian'
                 break
             }
+            case 'CN': {
+                languageLabel = 'Simplified Chinese-Mandarin'
+                break
+            }
+            case 'ID': {
+                languageLabel = 'Bahasa'
+                break
+            }
         }
         return languageLabel 
     }    

Projects/TensorFlow/Schemas/AppSchema.json

@@ -351,6 +351,30 @@
                 "relatedUiObject": "Core API",
                 "actionFunction": "payload.executeAction"
             },
+            {
+                "action": "Add UI Object",
+                "disableIfPropertyIsDefined": true,
+                "propertyToCheckFor": "optimizer",
+                "label": "Add Optimizer",
+                "relatedUiObject": "Optimizer",
+                "actionFunction": "payload.executeAction"
+            },
+            {
+                "action": "Add UI Object",
+                "disableIfPropertyIsDefined": true,
+                "propertyToCheckFor": "lossFunction",
+                "label": "Add Loss Function",
+                "relatedUiObject": "Loss Function",
+                "actionFunction": "payload.executeAction"
+            },
+            {
+                "action": "Add UI Object",
+                "disableIfPropertyIsDefined": true,
+                "propertyToCheckFor": "metrics",
+                "label": "Add Metrics",
+                "relatedUiObject": "Metrics",
+                "actionFunction": "payload.executeAction"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -383,10 +407,130 @@
                 "name": "api",
                 "type": "node",
                 "childType": "Core API"
+            },
+            {
+                "name": "optimizer",
+                "type": "node",
+                "childType": "Optimizer"
+            },
+            {
+                "name": "lossFunction",
+                "type": "node",
+                "childType": "Loss Function"
+            },
+            {
+                "name": "metrics",
+                "type": "node",
+                "childType": "Metrics"
             }
         ],
         "icon": "tensorflow"
     },
+    {
+        "type": "Optimizer",
+        "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
+            {
+                "action": "Delete UI Object",
+                "askConfirmation": true,
+                "confirmationLabel": "Confirm to Delete",
+                "label": "Delete",
+                "iconPathOn": "delete-entity",
+                "iconPathOff": "delete-entity",
+                "actionFunction": "payload.executeAction"
+            }
+        ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"value\": \"sgd\"\n}"
+        },
+        "addLeftIcons": true,
+        "level": 3,
+        "attachingRules": {
+            "compatibleTypes": "->Model->"
+        },
+        "propertyNameAtParent": "optimizer",
+        "childrenNodesProperties": [],
+        "icon": "tensorflow"
+    },
+    {
+        "type": "Loss Function",
+        "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
+            {
+                "action": "Delete UI Object",
+                "askConfirmation": true,
+                "confirmationLabel": "Confirm to Delete",
+                "label": "Delete",
+                "iconPathOn": "delete-entity",
+                "iconPathOff": "delete-entity",
+                "actionFunction": "payload.executeAction"
+            }
+        ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"value\": \"categoricalCrossentropy\"\n}"
+        },
+        "addLeftIcons": true,
+        "level": 3,
+        "attachingRules": {
+            "compatibleTypes": "->Model->"
+        },
+        "propertyNameAtParent": "lossFunction",
+        "childrenNodesProperties": [],
+        "icon": "tensorflow"
+    },
+    {
+        "type": "Metrics",
+        "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
+            {
+                "action": "Delete UI Object",
+                "askConfirmation": true,
+                "confirmationLabel": "Confirm to Delete",
+                "label": "Delete",
+                "iconPathOn": "delete-entity",
+                "iconPathOff": "delete-entity",
+                "actionFunction": "payload.executeAction"
+            }
+        ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"value\": [\"accuracy\"]\n}"
+        },
+        "addLeftIcons": true,
+        "level": 3,
+        "attachingRules": {
+            "compatibleTypes": "->Model->"
+        },
+        "propertyNameAtParent": "metrics",
+        "childrenNodesProperties": [],
+        "icon": "tensorflow"
+    },
     {
         "type": "Layers API",
         "menuItems": [
@@ -524,15 +668,15 @@
             {
                 "action": "Add UI Object",
                 "disableIfPropertyIsDefined": true,
-                "propertyToCheckFor": "layerType",
-                "label": "Add Advanced Activation Layers",
+                "propertyToCheckFor": "typeOfLayer",
+                "label": "Add Activation Layers",
                 "relatedUiObject": "Advanced Activation Layers",
                 "actionFunction": "payload.executeAction"
             },
             {
                 "action": "Add UI Object",
                 "disableIfPropertyIsDefined": true,
-                "propertyToCheckFor": "layerType",
+                "propertyToCheckFor": "typeOfLayer",
                 "label": "Add Basic Layers",
                 "relatedUiObject": "Basic Layers",
                 "actionFunction": "payload.executeAction"
@@ -540,7 +684,7 @@
             {
                 "action": "Add UI Object",
                 "disableIfPropertyIsDefined": true,
-                "propertyToCheckFor": "layerType",
+                "propertyToCheckFor": "typeOfLayer",
                 "label": "Add Convolutional Layers",
                 "relatedUiObject": "Convolutional Layers",
                 "actionFunction": "payload.executeAction"
@@ -563,17 +707,17 @@
         "propertyNameAtParent": "layers",
         "childrenNodesProperties": [
             {
-                "name": "layerType",
+                "name": "typeOfLayer",
                 "type": "node",
                 "childType": "Advanced Activation Layers"
             },
             {
-                "name": "layerType",
+                "name": "typeOfLayer",
                 "type": "node",
                 "childType": "Basic Layers"
             },
             {
-                "name": "layerType",
+                "name": "typeOfLayer",
                 "type": "node",
                 "childType": "Convolutional Layers"
             }
@@ -646,7 +790,7 @@
         "attachingRules": {
             "compatibleTypes": "->Secuential Layer->"
         },
-        "propertyNameAtParent": "layerType",
+        "propertyNameAtParent": "typeOfLayer",
         "childrenNodesProperties": [
             {
                 "name": "layer",
@@ -684,6 +828,13 @@
     {
         "type": "Elu Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -694,6 +845,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -706,6 +863,13 @@
     {
         "type": "Leaky Relu Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -716,6 +880,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -728,6 +898,13 @@
     {
         "type": "Prelu Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -738,6 +915,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -750,6 +933,13 @@
     {
         "type": "Relu Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -760,6 +950,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -772,6 +968,13 @@
     {
         "type": "Softmax Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -782,6 +985,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -794,6 +1003,13 @@
     {
         "type": "Thresholded Relu Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -804,6 +1020,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -903,7 +1125,7 @@
         "attachingRules": {
             "compatibleTypes": "->Secuential Layer->"
         },
-        "propertyNameAtParent": "layerType",
+        "propertyNameAtParent": "typeOfLayer",
         "childrenNodesProperties": [
             {
                 "name": "layer",
@@ -956,6 +1178,13 @@
     {
         "type": "Activation Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -966,6 +1195,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -978,6 +1213,13 @@
     {
         "type": "Dense Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Add UI Object",
                 "disableIfPropertyIsDefined": true,
@@ -1052,6 +1294,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -1720,6 +1968,13 @@
     {
         "type": "Dropout Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -1730,6 +1985,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -1742,6 +2003,13 @@
     {
         "type": "Embedding Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -1752,6 +2020,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -1764,6 +2038,13 @@
     {
         "type": "Flatten Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -1774,6 +2055,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -1786,6 +2073,13 @@
     {
         "type": "Permute Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -1796,6 +2090,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -1808,6 +2108,13 @@
     {
         "type": "Repeat Vector Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -1818,6 +2125,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -1830,6 +2143,13 @@
     {
         "type": "Reshape Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -1840,6 +2160,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -1852,6 +2178,13 @@
     {
         "type": "Spatial Dropout 1D Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -1862,6 +2195,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -1874,6 +2213,13 @@
     {
         "type": "Convolutional Layers",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Add UI Object",
                 "disableIfPropertyIsDefined": true,
@@ -1953,7 +2299,7 @@
         "attachingRules": {
             "compatibleTypes": "->Secuential Layer->"
         },
-        "propertyNameAtParent": "layerType",
+        "propertyNameAtParent": "typeOfLayer",
         "childrenNodesProperties": [
             {
                 "name": "layer",
@@ -2001,6 +2347,13 @@
     {
         "type": "Conv 1D Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -2011,6 +2364,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -2023,6 +2382,13 @@
     {
         "type": "Conv 2D Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -2033,6 +2399,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -2045,6 +2417,13 @@
     {
         "type": "Conv 2D Transpose Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -2055,6 +2434,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -2067,6 +2452,13 @@
     {
         "type": "Conv 3D Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -2077,6 +2469,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -2089,6 +2487,13 @@
     {
         "type": "Cropping 2D Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -2099,6 +2504,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -2111,6 +2522,13 @@
     {
         "type": "Depthwise Conv 2D Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -2121,6 +2539,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -2133,6 +2557,13 @@
     {
         "type": "Separable Conv 2D Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -2143,6 +2574,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -2155,6 +2592,13 @@
     {
         "type": "Up Sampling 2D Layer",
         "menuItems": [
+            {
+                "action": "Configure",
+                "label": "Configure",
+                "iconPathOn": "configuration",
+                "iconPathOff": "configuration",
+                "actionFunction": "uiObject.configEditor.activate"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -2165,6 +2609,12 @@
                 "actionFunction": "payload.executeAction"
             }
         ],
+        "editors": {
+            "config": true
+        },
+        "initialValues": {
+            "config": "{ \n  \"codeName\": \"\"\n}"
+        },
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
@@ -2282,8 +2732,8 @@
         "menuItems": [
             {
                 "action": "Add UI Object",
-                "label": "Add Feature",
-                "relatedUiObject": "Feature",
+                "label": "Add Data Feature",
+                "relatedUiObject": "Data Feature",
                 "actionFunction": "payload.executeAction"
             },
             {
@@ -2304,20 +2754,20 @@
         "propertyNameAtParent": "inputFeatures",
         "childrenNodesProperties": [
             {
-                "name": "features",
+                "name": "dataFeatures",
                 "type": "array",
-                "childType": "Feature"
+                "childType": "Data Feature"
             }
         ],
         "icon": "tensorflow"
     },
     {
-        "type": "Feature",
+        "type": "Data Feature",
         "menuItems": [
             {
                 "action": "Add UI Object",
                 "disableIfPropertyIsDefined": true,
-                "propertyToCheckFor": "inpfeatureFormulautFeatures",
+                "propertyToCheckFor": "featureFormula",
                 "label": "Add Feature Formula",
                 "relatedUiObject": "Feature Formula",
                 "actionFunction": "payload.executeAction"
@@ -2337,7 +2787,7 @@
         "attachingRules": {
             "compatibleTypes": "->Input Features->"
         },
-        "propertyNameAtParent": "features",
+        "propertyNameAtParent": "dataFeatures",
         "childrenNodesProperties": [
             {
                 "name": "featureFormula",
@@ -2377,7 +2827,7 @@
         "addLeftIcons": true,
         "level": 3,
         "attachingRules": {
-            "compatibleTypes": "->Feature->"
+            "compatibleTypes": "->Data Feature->"
         },
         "propertyNameAtParent": "featureFormula",
         "childrenNodesProperties": [],
@@ -2386,6 +2836,14 @@
     {
         "type": "Output Layer",
         "menuItems": [
+            {
+                "action": "Add UI Object",
+                "disableIfPropertyIsDefined": true,
+                "propertyToCheckFor": "outputLabels",
+                "label": "Add Output Labels",
+                "relatedUiObject": "Output Labels",
+                "actionFunction": "payload.executeAction"
+            },
             {
                 "action": "Delete UI Object",
                 "askConfirmation": true,
@@ -2408,6 +2866,118 @@
             "compatibleTypes": "->Secuential Model->"
         },
         "propertyNameAtParent": "outputLayer",
+        "childrenNodesProperties": [
+            {
+                "name": "outputLabels",
+                "type": "node",
+                "childType": "Output Labels"
+            }
+        ],
+        "icon": "tensorflow"
+    },
+    {
+        "type": "Output Labels",
+        "menuItems": [
+            {
+                "action": "Add UI Object",
+                "label": "Add Data Label",
+                "relatedUiObject": "Data Label",
+                "actionFunction": "payload.executeAction"
+            },
+            {
+                "action": "Delete UI Object",
+                "askConfirmation": true,
+                "confirmationLabel": "Confirm to Delete",
+                "label": "Delete",
+                "iconPathOn": "delete-entity",
+                "iconPathOff": "delete-entity",
+                "actionFunction": "payload.executeAction"
+            }
+        ],
+        "addLeftIcons": true,
+        "level": 3,
+        "attachingRules": {
+            "compatibleTypes": "->Output Layer->"
+        },
+        "propertyNameAtParent": "outputLabels",
+        "childrenNodesProperties": [
+            {
+                "name": "dataLabels",
+                "type": "array",
+                "childType": "Data Label"
+            }
+        ],
+        "icon": "tensorflow"
+    },
+    {
+        "type": "Data Label",
+        "menuItems": [
+            {
+                "action": "Add UI Object",
+                "disableIfPropertyIsDefined": true,
+                "propertyToCheckFor": "labelFormula",
+                "label": "Add Label Formula",
+                "relatedUiObject": "Label Formula",
+                "actionFunction": "payload.executeAction"
+            },
+            {
+                "action": "Delete UI Object",
+                "askConfirmation": true,
+                "confirmationLabel": "Confirm to Delete",
+                "label": "Delete",
+                "iconPathOn": "delete-entity",
+                "iconPathOff": "delete-entity",
+                "actionFunction": "payload.executeAction"
+            }
+        ],
+        "addLeftIcons": true,
+        "level": 3,
+        "attachingRules": {
+            "compatibleTypes": "->Output Labels->"
+        },
+        "propertyNameAtParent": "dataLabels",
+        "childrenNodesProperties": [
+            {
+                "name": "labelFormula",
+                "type": "node",
+                "childType": "Label Formula",
+                "autoAdd": true
+            }
+        ],
+        "icon": "tensorflow"
+    },
+    {
+        "type": "Label Formula",
+        "menuItems": [
+            {
+                "action": "Edit",
+                "actionFunction": "uiObject.formulaEditor.activate",
+                "label": "Edit",
+                "iconPathOn": "javascript-code",
+                "iconPathOff": "javascript-code"
+            },
+            {
+                "action": "Delete UI Object",
+                "askConfirmation": true,
+                "confirmationLabel": "Confirm to Delete",
+                "label": "Delete",
+                "iconPathOn": "delete-entity",
+                "iconPathOff": "delete-entity",
+                "actionFunction": "payload.executeAction"
+            }
+        ],
+        "editors": {
+            "formula": true
+        },
+        "initialValues": {
+            "code": ""
+        },
+        "addLeftIcons": true,
+        "level": 3,
+        "attachingRules": {
+            "compatibleTypes": "->Data Label->"
+        },
+        "propertyNameAtParent": "labelFormula",
         "childrenNodesProperties": [],
         "icon": "tensorflow"
     },

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/TensorFlowLibrary.js

@@ -0,0 +1,395 @@
+exports.newTensorFlowBotModulesTensorFlowLibrary = function (processIndex) {
+
+    const MODULE_NAME = 'Time Series Forcasting Tensor Flow JS Learning Algorithm'
+    let thisObject = {
+        updateChart: updateChart,
+        mantain: mantain,
+        reset: reset,
+        run: run,
+        initialize: initialize,
+        finalize: finalize
+    }
+
+    let learningEngine
+    let learningSystem
+    let sessionParameters
+
+    /* 
+    These 3 are the main data structures available to users
+    when writing conditions and formulas.
+    */
+    let chart
+    let exchange
+    let market
+
+    let tensorFlowBackend
+    let tensorFlowAPI
+    let tensorFlowModel
+    let tensorFlowData
+    let features = []
+    let labels = []
+
+    return thisObject
+
+    function initialize(callbackFunction) {
+        learningSystem = TS.projects.superalgos.globals.processVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).SIMULATION_STATE.learningSystem
+        learningEngine = TS.projects.superalgos.globals.processVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).SIMULATION_STATE.learningEngine
+        sessionParameters = TS.projects.superalgos.globals.processConstants.CONSTANTS_BY_PROCESS_INDEX_MAP.get(processIndex).SESSION_NODE.learningParameters
+
+        setupBackend()
+        setupEnvironmentFlags()
+        setupModel()
+        compileModel()
+
+        callbackFunction(TS.projects.superalgos.globals.standardResponses.DEFAULT_OK_RESPONSE)
+
+        function setupBackend() {
+            /*
+            Setup the default backend.
+            */
+            tensorFlowBackend = require("@tensorflow/tfjs-node")
+
+            if (
+                learningSystem.machineLearningLibrary.executionEnvironment !== undefined &&
+                learningSystem.machineLearningLibrary.executionEnvironment.backend !== undefined
+            ) {
+                /*
+                Replace the backend for the one defined at the UI.
+                */
+                switch (learningSystem.machineLearningLibrary.executionEnvironment.backend.config.codeName) {
+                    case 'node': {
+                        // This is already the default.
+                        break
+                    }
+                    case 'webgl': {
+                        tensorFlowBackend = require("@tensorflow/tfjs-backend-webgl")
+                        break
+                    }
+                    case 'wasm': {
+                        tensorFlowBackend = require("@tensorflow/tfjs-backend-wasm")
+                        break
+                    }
+                    case 'cpu': {
+                        tensorFlowBackend = require("@tensorflow/tfjs-backend-cpu")
+                        break
+                    }
+                }
+            }
+        }
+
+        function setupEnvironmentFlags() {
+            if (
+                learningSystem.machineLearningLibrary.executionEnvironment !== undefined &&
+                learningSystem.machineLearningLibrary.executionEnvironment.environmentFlags !== undefined &&
+                learningSystem.machineLearningLibrary.executionEnvironment.environmentFlags.mode
+            ) {
+                switch (learningSystem.machineLearningLibrary.executionEnvironment.environmentFlags.mode.type) {
+                    case 'Debug Mode': {
+                        tensorFlowBackend.enableDebugMode()
+                        break
+                    }
+                    case 'Debug Mode': {
+                        tensorFlowBackend.enableProdMode()
+                        break
+                    }
+                }
+            }
+        }
+
+        function setupModel() {
+            if (
+                learningSystem.machineLearningLibrary.typeOfLearning !== undefined &&
+                learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel !== undefined &&
+                learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model !== undefined &&
+                learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.api !== undefined
+            ) {
+                switch (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.api.type) {
+                    case 'Layers API': {
+                        tensorFlowAPI = require("@tensorflow/tfjs-layers")
+                        if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.api.layersModel === undefined) { return }
+
+                        switch (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.api.layersModel.type) {
+                            case 'Secuential Model': {
+                                setupSecuentialModel(learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.api.layersModel)
+                                break
+                            }
+                            case 'Functional Model': {
+                                break
+                            }
+                        }
+                        break
+                    }
+                    case 'Code API': {
+                        tensorFlowAPI = require("@tensorflow/tfjs-core")
+                        break
+                    }
+                }
+            }
+
+            function setupSecuentialModel(secuentialModel) {
+                /*
+                Some validations
+                */
+                if (secuentialModel.inputLayer === undefined) {
+                    // TODO
+                    return
+                }
+                if (secuentialModel.outputLayer === undefined) {
+                    // TODO
+                    return
+                }
+                if (secuentialModel.layers.length === 0) {
+                    // TODO
+                    return
+                }
+                if (secuentialModel.inputLayer.referenceParent === undefined) {
+                    // TODO
+                    return
+                }
+
+                tensorFlowModel = tensorFlowAPI.sequential()
+
+                for (let i = 0; i < secuentialModel.layers.length; i++) {
+                    let layerNode = secuentialModel.layers[i]
+                    let layersFunction
+                    let argsObject = {}
+                    let layerObject
+
+                    if (layerNode.typeOfLayer === undefined) { continue }
+                    if (layerNode.typeOfLayer.layer === undefined) { continue }
+
+                    switch (layerNode.typeOfLayer.layer.type) {
+                        case 'Dense Layer': {
+                            layersFunction = tensorFlowAPI.layers.dense
+                            break
+                        }
+                        case ' ': {
+                            break
+                        }
+                        case ' ': {
+                            break
+                        }
+                        default: {
+                            TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME,
+                                '[WARN] Layer of type ' + layerNode.typeOfLayer.layer.type + ' not implemented yet.')
+                            continue
+                        }
+                    }
+
+                    if (layerNode.typeOfLayer.layer.dimensionalityUnits !== undefined) {
+                        argsObject.units = layerNode.typeOfLayer.layer.dimensionalityUnits.config.value
+                    }
+                    if (layerNode.typeOfLayer.layer.activationFunction !== undefined) {
+                        argsObject.activation = layerNode.typeOfLayer.layer.activationFunction.config.value
+                    }
+                    if (layerNode.typeOfLayer.layer.bias !== undefined) {
+                        argsObject.useBias = true
+                    }
+                    if (layerNode.typeOfLayer.layer.kernel !== undefined) {
+                        if (layerNode.typeOfLayer.layer.kernel.kernelInitializer !== undefined) {
+                            argsObject.kernelInitializer = layerNode.typeOfLayer.layer.kernel.kernelInitializer.config.value
+                        }
+                        if (layerNode.typeOfLayer.layer.kernel.kernelConstraint !== undefined) {
+                            argsObject.kernelConstraint = layerNode.typeOfLayer.layer.kernel.kernelConstraint.config.value
+                        }
+                        if (layerNode.typeOfLayer.layer.kernel.kernelRegularizer !== undefined) {
+                            argsObject.kernelRegularizer = layerNode.typeOfLayer.layer.kernel.kernelRegularizer.config.value
+                        }
+                    }
+                    if (layerNode.typeOfLayer.layer.bias !== undefined) {
+                        if (layerNode.typeOfLayer.layer.bias.biasInitializer !== undefined) {
+                            argsObject.biasInitializer = layerNode.typeOfLayer.layer.bias.biasInitializer.config.value
+                        }
+                        if (layerNode.typeOfLayer.layer.bias.biasConstraint !== undefined) {
+                            argsObject.biasConstraint = layerNode.typeOfLayer.layer.bias.biasConstraint.config.value
+                        }
+                        if (layerNode.typeOfLayer.layer.bias.biasRegularizer !== undefined) {
+                            argsObject.biasRegularizer = layerNode.typeOfLayer.layer.bias.biasRegularizer.config.value
+                        }
+                    }
+                    if (layerNode.typeOfLayer.layer.batchSize !== undefined) {
+                        argsObject.batchSize = layerNode.typeOfLayer.layer.batchSize.config.value
+                    }
+                    if (layerNode.typeOfLayer.layer.dtype !== undefined) {
+                        argsObject.dtype = layerNode.typeOfLayer.layer.dtype.config.value
+                    }
+                    if (layerNode.typeOfLayer.layer.trainable !== undefined) {
+                        argsObject.trainable = layerNode.typeOfLayer.layer.trainable.config.value
+                    }
+                    if (layerNode.typeOfLayer.layer.weights !== undefined) {
+                        if (layerNode.typeOfLayer.layer.weights.tensor !== undefined) {
+                            argsObject.weights = layerNode.typeOfLayer.layer.weights.tensor.config.value
+                        }
+                    }
+                    argsObject.name = layerNode.typeOfLayer.layer.config.codeName
+
+                    /*
+                    Check if this is the input layer.
+                    */
+                    if (secuentialModel.inputLayer.referenceParent.id === layerNode.id) {
+                        if (secuentialModel.inputLayer.inputShape !== undefined) {
+                            argsObject.inputShape = secuentialModel.inputLayer.inputShape.config.value
+                        }
+                    }
+
+                    layerObject = layersFunction(argsObject)
+
+                    tensorFlowModel.add(layerObject)
+                }
+            }
+        }
+
+        function compileModel() {
+            if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.optimizer === undefined) {
+                //TODO
+                return
+            }
+            if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.optimizer.config.value === undefined) {
+                //TODO
+                return
+            }
+            if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.lossFunction === undefined) {
+                //TODO
+                return
+            }
+            if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.lossFunction.config.value === undefined) {
+                //TODO
+                return
+            }
+            if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.metrics === undefined) {
+                //TODO
+                return
+            }
+            if (learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.metrics.config.value === undefined) {
+                //TODO
+                return
+            }
+            let compileArgs = {
+                optimizer: learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.optimizer.config.value,
+                loss: learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.lossFunction.config.value,
+                metrics: [learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.metrics.config.value]
+            }
+
+            tensorFlowModel.compile(compileArgs)
+        }
+    }
+
+    function finalize() {
+        learningEngine = undefined
+        learningSystem = undefined
+        sessionParameters = undefined
+
+        chart = undefined
+        exchange = undefined
+        market = undefined
+
+        tensorFlowBackend = undefined
+        tensorFlowAPI = undefined
+        tensorFlowModel = undefined
+        tensorFlowData = undefined
+
+        features = []
+        labels = []
+    }
+
+    function updateChart(pChart, pExchange, pMarket) {
+        /* 
+          We need these 3 data structures  to be a local objects 
+          accessible while evaluating conditions and formulas.
+          */
+        chart = pChart
+        exchange = pExchange
+        market = pMarket
+    }
+
+    function mantain() {
+
+    }
+
+    function reset() {
+    }
+
+    function run(callbackFunction) {
+
+        let layersModel = learningSystem.machineLearningLibrary.typeOfLearning.typeOfModel.model.api.layersModel
+
+        /*
+        Building the Features Tensor
+        */
+        if (layersModel.inputLayer === undefined) {
+            // TODO
+        }
+        if (layersModel.inputLayer.inputFeatures === undefined) {
+            // TODO
+        }
+        learningSystem.evalFormulas(layersModel.inputLayer.inputFeatures, layersModel.inputLayer.inputFeatures.type)
+
+        for (let i = 0; i < layersModel.inputLayer.inputFeatures.dataFeatures.length; i++) {
+            let dataFeature = layersModel.inputLayer.inputFeatures.dataFeatures[i]
+            if (dataFeature.featureFormula === undefined) { continue }
+            let featureValue = learningSystem.formulas.get(dataFeature.featureFormula.id)
+            features.push(featureValue)
+        }
+
+        /*
+        Building the Labels Tensor
+        */
+        if (layersModel.outputLayer === undefined) {
+            // TODO
+        }
+        if (layersModel.outputLayer.outputLabels === undefined) {
+            // TODO
+        }
+        learningSystem.evalFormulas(layersModel.outputLayer.outputLabels, layersModel.outputLayer.outputLabels.type)
+
+        for (let i = 0; i < layersModel.outputLayer.outputLabels.dataLabels.length; i++) {
+            let dataLabel = layersModel.outputLayer.outputLabels.dataLabels[i]
+            if (dataLabel.labelFormula === undefined) { continue }
+            let labelValue = learningSystem.formulas.get(dataLabel.labelFormula.id)
+            labels.push(labelValue)
+        }
+
+        tensorFlowData = require("@tensorflow/tfjs-data")
+
+        let dataset = tensorFlowData.array([features, labels])
+
+        tensorFlowModel.fitDataset(dataset, { epochs: 5 }).then(info => {
+            console.log('Accuracy', info.history.acc);
+
+            /*
+            if all is good, return this...
+            */
+            callbackFunction(TS.projects.superalgos.globals.standardResponses.DEFAULT_OK_RESPONSE)
+
+        });
+
+
+
+        /*
+        if something is bad, return this...
+        */
+        //callbackFunction(TS.projects.superalgos.globals.standardResponses.DEFAULT_FAIL_RESPONSE)
+
+    }
+
+    function badDefinitionUnhandledException(err, message, node) {
+
+        let docs = {
+            project: 'Superalgos',
+            category: 'Topic',
+            type: 'TS LF Learning Bot Error - ' + message,
+            placeholder: {}
+        }
+
+        learningSystem.addError([node.id, message, docs])
+
+        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> " + message);
+        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> node.name = " + node.name);
+        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> node.type = " + node.type);
+        TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> node.config = " + JSON.stringify(node.config));
+        if (err !== undefined) {
+            TS.projects.superalgos.globals.loggerVariables.VARIABLES_BY_PROCESS_INDEX_MAP.get(processIndex).BOT_MAIN_LOOP_LOGGER_MODULE_OBJECT.write(MODULE_NAME, "[ERROR] -> err.stack = " + err.stack);
+        }
+        throw 'Error Already Recorded'
+    }
+}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/detect-libc

@@ -0,0 +1,15 @@
+#!/bin/sh
+basedir=$(dirname "$(echo "$0" | sed -e 's,\\,/,g')")
+
+case `uname` in
+    *CYGWIN*|*MINGW*|*MSYS*) basedir=`cygpath -w "$basedir"`;;
+esac
+
+if [ -x "$basedir/node" ]; then
+  "$basedir/node"  "$basedir/../detect-libc/bin/detect-libc.js" "$@"
+  ret=$?
+else 
+  node  "$basedir/../detect-libc/bin/detect-libc.js" "$@"
+  ret=$?
+fi
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/detect-libc.cmd

@@ -0,0 +1,17 @@
+@ECHO off
+SETLOCAL
+CALL :find_dp0
+
+IF EXIST "%dp0%\node.exe" (
+  SET "_prog=%dp0%\node.exe"
+) ELSE (
+  SET "_prog=node"
+  SET PATHEXT=%PATHEXT:;.JS;=;%
+)
+
+"%_prog%"  "%dp0%\..\detect-libc\bin\detect-libc.js" %*
+ENDLOCAL
+EXIT /b %errorlevel%
+:find_dp0
+SET dp0=%~dp0
+EXIT /b

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/detect-libc.ps1

@@ -0,0 +1,18 @@
+#!/usr/bin/env pwsh
+$basedir=Split-Path $MyInvocation.MyCommand.Definition -Parent
+
+$exe=""
+if ($PSVersionTable.PSVersion -lt "6.0" -or $IsWindows) {
+  # Fix case when both the Windows and Linux builds of Node
+  # are installed in the same directory
+  $exe=".exe"
+}
+$ret=0
+if (Test-Path "$basedir/node$exe") {
+  & "$basedir/node$exe"  "$basedir/../detect-libc/bin/detect-libc.js" $args
+  $ret=$LASTEXITCODE
+} else {
+  & "node$exe"  "$basedir/../detect-libc/bin/detect-libc.js" $args
+  $ret=$LASTEXITCODE
+}
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/mkdirp

@@ -0,0 +1,15 @@
+#!/bin/sh
+basedir=$(dirname "$(echo "$0" | sed -e 's,\\,/,g')")
+
+case `uname` in
+    *CYGWIN*|*MINGW*|*MSYS*) basedir=`cygpath -w "$basedir"`;;
+esac
+
+if [ -x "$basedir/node" ]; then
+  "$basedir/node"  "$basedir/../mkdirp/bin/cmd.js" "$@"
+  ret=$?
+else 
+  node  "$basedir/../mkdirp/bin/cmd.js" "$@"
+  ret=$?
+fi
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/mkdirp.cmd

@@ -0,0 +1,17 @@
+@ECHO off
+SETLOCAL
+CALL :find_dp0
+
+IF EXIST "%dp0%\node.exe" (
+  SET "_prog=%dp0%\node.exe"
+) ELSE (
+  SET "_prog=node"
+  SET PATHEXT=%PATHEXT:;.JS;=;%
+)
+
+"%_prog%"  "%dp0%\..\mkdirp\bin\cmd.js" %*
+ENDLOCAL
+EXIT /b %errorlevel%
+:find_dp0
+SET dp0=%~dp0
+EXIT /b

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/mkdirp.ps1

@@ -0,0 +1,18 @@
+#!/usr/bin/env pwsh
+$basedir=Split-Path $MyInvocation.MyCommand.Definition -Parent
+
+$exe=""
+if ($PSVersionTable.PSVersion -lt "6.0" -or $IsWindows) {
+  # Fix case when both the Windows and Linux builds of Node
+  # are installed in the same directory
+  $exe=".exe"
+}
+$ret=0
+if (Test-Path "$basedir/node$exe") {
+  & "$basedir/node$exe"  "$basedir/../mkdirp/bin/cmd.js" $args
+  $ret=$LASTEXITCODE
+} else {
+  & "node$exe"  "$basedir/../mkdirp/bin/cmd.js" $args
+  $ret=$LASTEXITCODE
+}
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/needle

@@ -0,0 +1,15 @@
+#!/bin/sh
+basedir=$(dirname "$(echo "$0" | sed -e 's,\\,/,g')")
+
+case `uname` in
+    *CYGWIN*|*MINGW*|*MSYS*) basedir=`cygpath -w "$basedir"`;;
+esac
+
+if [ -x "$basedir/node" ]; then
+  "$basedir/node"  "$basedir/../needle/bin/needle" "$@"
+  ret=$?
+else 
+  node  "$basedir/../needle/bin/needle" "$@"
+  ret=$?
+fi
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/needle.cmd

@@ -0,0 +1,17 @@
+@ECHO off
+SETLOCAL
+CALL :find_dp0
+
+IF EXIST "%dp0%\node.exe" (
+  SET "_prog=%dp0%\node.exe"
+) ELSE (
+  SET "_prog=node"
+  SET PATHEXT=%PATHEXT:;.JS;=;%
+)
+
+"%_prog%"  "%dp0%\..\needle\bin\needle" %*
+ENDLOCAL
+EXIT /b %errorlevel%
+:find_dp0
+SET dp0=%~dp0
+EXIT /b

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/needle.ps1

@@ -0,0 +1,18 @@
+#!/usr/bin/env pwsh
+$basedir=Split-Path $MyInvocation.MyCommand.Definition -Parent
+
+$exe=""
+if ($PSVersionTable.PSVersion -lt "6.0" -or $IsWindows) {
+  # Fix case when both the Windows and Linux builds of Node
+  # are installed in the same directory
+  $exe=".exe"
+}
+$ret=0
+if (Test-Path "$basedir/node$exe") {
+  & "$basedir/node$exe"  "$basedir/../needle/bin/needle" $args
+  $ret=$LASTEXITCODE
+} else {
+  & "node$exe"  "$basedir/../needle/bin/needle" $args
+  $ret=$LASTEXITCODE
+}
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/node-pre-gyp

@@ -0,0 +1,15 @@
+#!/bin/sh
+basedir=$(dirname "$(echo "$0" | sed -e 's,\\,/,g')")
+
+case `uname` in
+    *CYGWIN*|*MINGW*|*MSYS*) basedir=`cygpath -w "$basedir"`;;
+esac
+
+if [ -x "$basedir/node" ]; then
+  "$basedir/node"  "$basedir/../node-pre-gyp/bin/node-pre-gyp" "$@"
+  ret=$?
+else 
+  node  "$basedir/../node-pre-gyp/bin/node-pre-gyp" "$@"
+  ret=$?
+fi
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/node-pre-gyp.cmd

@@ -0,0 +1,17 @@
+@ECHO off
+SETLOCAL
+CALL :find_dp0
+
+IF EXIST "%dp0%\node.exe" (
+  SET "_prog=%dp0%\node.exe"
+) ELSE (
+  SET "_prog=node"
+  SET PATHEXT=%PATHEXT:;.JS;=;%
+)
+
+"%_prog%"  "%dp0%\..\node-pre-gyp\bin\node-pre-gyp" %*
+ENDLOCAL
+EXIT /b %errorlevel%
+:find_dp0
+SET dp0=%~dp0
+EXIT /b

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/node-pre-gyp.ps1

@@ -0,0 +1,18 @@
+#!/usr/bin/env pwsh
+$basedir=Split-Path $MyInvocation.MyCommand.Definition -Parent
+
+$exe=""
+if ($PSVersionTable.PSVersion -lt "6.0" -or $IsWindows) {
+  # Fix case when both the Windows and Linux builds of Node
+  # are installed in the same directory
+  $exe=".exe"
+}
+$ret=0
+if (Test-Path "$basedir/node$exe") {
+  & "$basedir/node$exe"  "$basedir/../node-pre-gyp/bin/node-pre-gyp" $args
+  $ret=$LASTEXITCODE
+} else {
+  & "node$exe"  "$basedir/../node-pre-gyp/bin/node-pre-gyp" $args
+  $ret=$LASTEXITCODE
+}
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/nopt

@@ -0,0 +1,15 @@
+#!/bin/sh
+basedir=$(dirname "$(echo "$0" | sed -e 's,\\,/,g')")
+
+case `uname` in
+    *CYGWIN*|*MINGW*|*MSYS*) basedir=`cygpath -w "$basedir"`;;
+esac
+
+if [ -x "$basedir/node" ]; then
+  "$basedir/node"  "$basedir/../nopt/bin/nopt.js" "$@"
+  ret=$?
+else 
+  node  "$basedir/../nopt/bin/nopt.js" "$@"
+  ret=$?
+fi
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/nopt.cmd

@@ -0,0 +1,17 @@
+@ECHO off
+SETLOCAL
+CALL :find_dp0
+
+IF EXIST "%dp0%\node.exe" (
+  SET "_prog=%dp0%\node.exe"
+) ELSE (
+  SET "_prog=node"
+  SET PATHEXT=%PATHEXT:;.JS;=;%
+)
+
+"%_prog%"  "%dp0%\..\nopt\bin\nopt.js" %*
+ENDLOCAL
+EXIT /b %errorlevel%
+:find_dp0
+SET dp0=%~dp0
+EXIT /b

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/nopt.ps1

@@ -0,0 +1,18 @@
+#!/usr/bin/env pwsh
+$basedir=Split-Path $MyInvocation.MyCommand.Definition -Parent
+
+$exe=""
+if ($PSVersionTable.PSVersion -lt "6.0" -or $IsWindows) {
+  # Fix case when both the Windows and Linux builds of Node
+  # are installed in the same directory
+  $exe=".exe"
+}
+$ret=0
+if (Test-Path "$basedir/node$exe") {
+  & "$basedir/node$exe"  "$basedir/../nopt/bin/nopt.js" $args
+  $ret=$LASTEXITCODE
+} else {
+  & "node$exe"  "$basedir/../nopt/bin/nopt.js" $args
+  $ret=$LASTEXITCODE
+}
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/rc

@@ -0,0 +1,15 @@
+#!/bin/sh
+basedir=$(dirname "$(echo "$0" | sed -e 's,\\,/,g')")
+
+case `uname` in
+    *CYGWIN*|*MINGW*|*MSYS*) basedir=`cygpath -w "$basedir"`;;
+esac
+
+if [ -x "$basedir/node" ]; then
+  "$basedir/node"  "$basedir/../rc/cli.js" "$@"
+  ret=$?
+else 
+  node  "$basedir/../rc/cli.js" "$@"
+  ret=$?
+fi
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/rc.cmd

@@ -0,0 +1,17 @@
+@ECHO off
+SETLOCAL
+CALL :find_dp0
+
+IF EXIST "%dp0%\node.exe" (
+  SET "_prog=%dp0%\node.exe"
+) ELSE (
+  SET "_prog=node"
+  SET PATHEXT=%PATHEXT:;.JS;=;%
+)
+
+"%_prog%"  "%dp0%\..\rc\cli.js" %*
+ENDLOCAL
+EXIT /b %errorlevel%
+:find_dp0
+SET dp0=%~dp0
+EXIT /b

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/rc.ps1

@@ -0,0 +1,18 @@
+#!/usr/bin/env pwsh
+$basedir=Split-Path $MyInvocation.MyCommand.Definition -Parent
+
+$exe=""
+if ($PSVersionTable.PSVersion -lt "6.0" -or $IsWindows) {
+  # Fix case when both the Windows and Linux builds of Node
+  # are installed in the same directory
+  $exe=".exe"
+}
+$ret=0
+if (Test-Path "$basedir/node$exe") {
+  & "$basedir/node$exe"  "$basedir/../rc/cli.js" $args
+  $ret=$LASTEXITCODE
+} else {
+  & "node$exe"  "$basedir/../rc/cli.js" $args
+  $ret=$LASTEXITCODE
+}
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/rimraf

@@ -0,0 +1,15 @@
+#!/bin/sh
+basedir=$(dirname "$(echo "$0" | sed -e 's,\\,/,g')")
+
+case `uname` in
+    *CYGWIN*|*MINGW*|*MSYS*) basedir=`cygpath -w "$basedir"`;;
+esac
+
+if [ -x "$basedir/node" ]; then
+  "$basedir/node"  "$basedir/../rimraf/bin.js" "$@"
+  ret=$?
+else 
+  node  "$basedir/../rimraf/bin.js" "$@"
+  ret=$?
+fi
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/rimraf.cmd

@@ -0,0 +1,17 @@
+@ECHO off
+SETLOCAL
+CALL :find_dp0
+
+IF EXIST "%dp0%\node.exe" (
+  SET "_prog=%dp0%\node.exe"
+) ELSE (
+  SET "_prog=node"
+  SET PATHEXT=%PATHEXT:;.JS;=;%
+)
+
+"%_prog%"  "%dp0%\..\rimraf\bin.js" %*
+ENDLOCAL
+EXIT /b %errorlevel%
+:find_dp0
+SET dp0=%~dp0
+EXIT /b

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/rimraf.ps1

@@ -0,0 +1,18 @@
+#!/usr/bin/env pwsh
+$basedir=Split-Path $MyInvocation.MyCommand.Definition -Parent
+
+$exe=""
+if ($PSVersionTable.PSVersion -lt "6.0" -or $IsWindows) {
+  # Fix case when both the Windows and Linux builds of Node
+  # are installed in the same directory
+  $exe=".exe"
+}
+$ret=0
+if (Test-Path "$basedir/node$exe") {
+  & "$basedir/node$exe"  "$basedir/../rimraf/bin.js" $args
+  $ret=$LASTEXITCODE
+} else {
+  & "node$exe"  "$basedir/../rimraf/bin.js" $args
+  $ret=$LASTEXITCODE
+}
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/semver

@@ -0,0 +1,15 @@
+#!/bin/sh
+basedir=$(dirname "$(echo "$0" | sed -e 's,\\,/,g')")
+
+case `uname` in
+    *CYGWIN*|*MINGW*|*MSYS*) basedir=`cygpath -w "$basedir"`;;
+esac
+
+if [ -x "$basedir/node" ]; then
+  "$basedir/node"  "$basedir/../semver/bin/semver" "$@"
+  ret=$?
+else 
+  node  "$basedir/../semver/bin/semver" "$@"
+  ret=$?
+fi
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/semver.cmd

@@ -0,0 +1,17 @@
+@ECHO off
+SETLOCAL
+CALL :find_dp0
+
+IF EXIST "%dp0%\node.exe" (
+  SET "_prog=%dp0%\node.exe"
+) ELSE (
+  SET "_prog=node"
+  SET PATHEXT=%PATHEXT:;.JS;=;%
+)
+
+"%_prog%"  "%dp0%\..\semver\bin\semver" %*
+ENDLOCAL
+EXIT /b %errorlevel%
+:find_dp0
+SET dp0=%~dp0
+EXIT /b

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/semver.ps1

@@ -0,0 +1,18 @@
+#!/usr/bin/env pwsh
+$basedir=Split-Path $MyInvocation.MyCommand.Definition -Parent
+
+$exe=""
+if ($PSVersionTable.PSVersion -lt "6.0" -or $IsWindows) {
+  # Fix case when both the Windows and Linux builds of Node
+  # are installed in the same directory
+  $exe=".exe"
+}
+$ret=0
+if (Test-Path "$basedir/node$exe") {
+  & "$basedir/node$exe"  "$basedir/../semver/bin/semver" $args
+  $ret=$LASTEXITCODE
+} else {
+  & "node$exe"  "$basedir/../semver/bin/semver" $args
+  $ret=$LASTEXITCODE
+}
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/tfjs-custom-module

@@ -0,0 +1,15 @@
+#!/bin/sh
+basedir=$(dirname "$(echo "$0" | sed -e 's,\\,/,g')")
+
+case `uname` in
+    *CYGWIN*|*MINGW*|*MSYS*) basedir=`cygpath -w "$basedir"`;;
+esac
+
+if [ -x "$basedir/node" ]; then
+  "$basedir/node"  "$basedir/../@tensorflow/tfjs/dist/tools/custom_module/cli.js" "$@"
+  ret=$?
+else 
+  node  "$basedir/../@tensorflow/tfjs/dist/tools/custom_module/cli.js" "$@"
+  ret=$?
+fi
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/tfjs-custom-module.cmd

@@ -0,0 +1,17 @@
+@ECHO off
+SETLOCAL
+CALL :find_dp0
+
+IF EXIST "%dp0%\node.exe" (
+  SET "_prog=%dp0%\node.exe"
+) ELSE (
+  SET "_prog=node"
+  SET PATHEXT=%PATHEXT:;.JS;=;%
+)
+
+"%_prog%"  "%dp0%\..\@tensorflow\tfjs\dist\tools\custom_module\cli.js" %*
+ENDLOCAL
+EXIT /b %errorlevel%
+:find_dp0
+SET dp0=%~dp0
+EXIT /b

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/.bin/tfjs-custom-module.ps1

@@ -0,0 +1,18 @@
+#!/usr/bin/env pwsh
+$basedir=Split-Path $MyInvocation.MyCommand.Definition -Parent
+
+$exe=""
+if ($PSVersionTable.PSVersion -lt "6.0" -or $IsWindows) {
+  # Fix case when both the Windows and Linux builds of Node
+  # are installed in the same directory
+  $exe=".exe"
+}
+$ret=0
+if (Test-Path "$basedir/node$exe") {
+  & "$basedir/node$exe"  "$basedir/../@tensorflow/tfjs/dist/tools/custom_module/cli.js" $args
+  $ret=$LASTEXITCODE
+} else {
+  & "node$exe"  "$basedir/../@tensorflow/tfjs/dist/tools/custom_module/cli.js" $args
+  $ret=$LASTEXITCODE
+}
+exit $ret

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/README.md

@@ -0,0 +1,37 @@
+# Usage
+
+This package implements a JavaScript based CPU backend to TensorFlow.js.
+
+## Importing the backend
+
+Note: this backend is included by default in `@tensorflow/tfjs`.
+
+### Via NPM
+
+```js
+// Import @tensorflow/tfjs-core
+import * as tf from '@tensorflow/tfjs-core';
+// Adds the CPU backend to the global backend registry.
+import '@tensorflow/tfjs-backend-cpu';
+```
+
+### Via a script tag
+
+```html
+<!-- Import @tensorflow/tfjs-core -->
+<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-core"></script>
+
+<!-- Adds the CPU backend to the global backend registry -->
+<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-cpu"></script>
+```
+
+You can also get ES2017 code using the following links
+
+```html
+<!-- Import @tensorflow/tfjs-core -->
+<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-core@2.0.0-rc.4/dist/tf-core.es2017.js"></script>
+
+<!-- Adds the CPU backend to the global backend registry -->
+<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-cpu@2.0.0-rc.4/dist/tf-backend-cpu.es2017.js"></script>
+```
+

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/backend_cpu.d.ts

@@ -0,0 +1,65 @@
+/**
+ * @license
+ * Copyright 2017 Google LLC. All Rights Reserved.
+ * 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 { backend_util, BackendTimingInfo, DataStorage, DataType, KernelBackend, Rank, Tensor, Tensor2D, TensorBuffer, TensorInfo } from '@tensorflow/tfjs-core';
+interface DataId {
+}
+export interface TensorData<D extends DataType> {
+    values?: backend_util.BackendValues;
+    dtype: D;
+    complexTensorInfos?: {
+        real: TensorInfo;
+        imag: TensorInfo;
+    };
+    refCount: number;
+}
+export declare class MathBackendCPU extends KernelBackend {
+    blockSize: number;
+    data: DataStorage<TensorData<DataType>>;
+    private firstUse;
+    constructor();
+    write(values: backend_util.BackendValues, shape: number[], dtype: DataType): DataId;
+    /**
+     * Create a data bucket in cpu backend.
+     * @param shape Shape of the `TensorInfo`.
+     * @param dtype DType of the `TensorInfo`.
+     * @param values The value of the `TensorInfo` stored as a flattened array.
+     */
+    makeTensorInfo(shape: number[], dtype: DataType, values?: backend_util.BackendValues | string[]): TensorInfo;
+    /** Increase refCount of a `TensorData`. */
+    incRef(dataId: DataId): void;
+    /** Decrease refCount of a `TensorData`. */
+    decRef(dataId: DataId): void;
+    move(dataId: DataId, values: backend_util.BackendValues, shape: number[], dtype: DataType): void;
+    numDataIds(): number;
+    read(dataId: DataId): Promise<backend_util.BackendValues>;
+    readSync(dataId: DataId): backend_util.BackendValues;
+    bufferSync<R extends Rank>(t: TensorInfo): TensorBuffer<R>;
+    makeOutput<T extends Tensor>(values: backend_util.BackendValues, shape: number[], dtype: DataType): T;
+    disposeData(dataId: DataId): void;
+    disposeIntermediateTensorInfo(tensorInfo: TensorInfo): void;
+    time(f: () => void): Promise<BackendTimingInfo>;
+    memory(): {
+        unreliable: boolean;
+        reasons: string[];
+    };
+    where(condition: Tensor): Tensor2D;
+    dispose(): void;
+    floatPrecision(): 16 | 32;
+    /** Returns the smallest representable number.  */
+    epsilon(): number;
+}
+export {};

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/backend_cpu.js

@@ -0,0 +1,161 @@
+/**
+ * @license
+ * Copyright 2017 Google LLC. All Rights Reserved.
+ * 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 { backend_util, buffer, DataStorage, engine, env, kernel_impls, KernelBackend, util } from '@tensorflow/tfjs-core';
+const whereImpl = kernel_impls.whereImpl;
+import { assertNotComplex } from './cpu_util';
+export class MathBackendCPU extends KernelBackend {
+    constructor() {
+        super();
+        this.blockSize = 48;
+        this.firstUse = true;
+        this.data = new DataStorage(this, engine());
+    }
+    write(values, shape, dtype) {
+        if (this.firstUse) {
+            this.firstUse = false;
+            if (env().get('IS_NODE')) {
+                backend_util.warn('\n============================\n' +
+                    'Hi there 👋. Looks like you are running TensorFlow.js in ' +
+                    'Node.js. To speed things up dramatically, install our node ' +
+                    'backend, which binds to TensorFlow C++, by running ' +
+                    'npm i @tensorflow/tfjs-node, ' +
+                    'or npm i @tensorflow/tfjs-node-gpu if you have CUDA. ' +
+                    'Then call require(\'@tensorflow/tfjs-node\'); (-gpu ' +
+                    'suffix for CUDA) at the start of your program. ' +
+                    'Visit https://github.com/tensorflow/tfjs-node for more details.' +
+                    '\n============================');
+            }
+        }
+        const dataId = {};
+        this.data.set(dataId, { values, dtype, refCount: 1 });
+        return dataId;
+    }
+    /**
+     * Create a data bucket in cpu backend.
+     * @param shape Shape of the `TensorInfo`.
+     * @param dtype DType of the `TensorInfo`.
+     * @param values The value of the `TensorInfo` stored as a flattened array.
+     */
+    makeTensorInfo(shape, dtype, values) {
+        let outId;
+        if (dtype === 'string' && values != null && values.length > 0 &&
+            util.isString(values[0])) {
+            const encodedValues = values.map(d => util.encodeString(d));
+            outId = this.write(encodedValues, shape, dtype);
+        }
+        else {
+            outId = this.write(values, shape, dtype);
+        }
+        return { dataId: outId, shape, dtype };
+    }
+    /** Increase refCount of a `TensorData`. */
+    incRef(dataId) {
+        const tensorData = this.data.get(dataId);
+        tensorData.refCount++;
+    }
+    /** Decrease refCount of a `TensorData`. */
+    decRef(dataId) {
+        if (this.data.has(dataId)) {
+            const tensorData = this.data.get(dataId);
+            tensorData.refCount--;
+        }
+    }
+    move(dataId, values, shape, dtype) {
+        this.data.set(dataId, { values, dtype, refCount: 1 });
+    }
+    numDataIds() {
+        return this.data.numDataIds();
+    }
+    async read(dataId) {
+        return this.readSync(dataId);
+    }
+    readSync(dataId) {
+        const { dtype, complexTensorInfos } = this.data.get(dataId);
+        if (dtype === 'complex64') {
+            const realValues = this.readSync(complexTensorInfos.real.dataId);
+            const imagValues = this.readSync(complexTensorInfos.imag.dataId);
+            return backend_util.mergeRealAndImagArrays(realValues, imagValues);
+        }
+        return this.data.get(dataId).values;
+    }
+    bufferSync(t) {
+        const data = this.readSync(t.dataId);
+        let decodedData = data;
+        if (t.dtype === 'string') {
+            try {
+                // Decode the bytes into string.
+                decodedData = data.map(d => util.decodeString(d));
+            }
+            catch (_a) {
+                throw new Error('Failed to decode encoded string bytes into utf-8');
+            }
+        }
+        return buffer(t.shape, t.dtype, decodedData);
+    }
+    makeOutput(values, shape, dtype) {
+        const dataId = this.write(values, shape, dtype);
+        return engine().makeTensorFromDataId(dataId, shape, dtype, this);
+    }
+    disposeData(dataId) {
+        if (this.data.has(dataId)) {
+            const { complexTensorInfos } = this.data.get(dataId);
+            if (complexTensorInfos != null) {
+                this.disposeData(complexTensorInfos.real.dataId);
+                this.disposeData(complexTensorInfos.imag.dataId);
+            }
+            this.data.delete(dataId);
+        }
+    }
+    disposeIntermediateTensorInfo(tensorInfo) {
+        const dataId = tensorInfo.dataId;
+        if (this.data.has(dataId)) {
+            const tensorData = this.data.get(dataId);
+            tensorData.refCount--;
+            if (tensorData.refCount < 1) {
+                this.disposeData(dataId);
+            }
+        }
+    }
+    async time(f) {
+        const start = util.now();
+        f();
+        const kernelMs = util.now() - start;
+        return { kernelMs };
+    }
+    memory() {
+        return {
+            // Unreliable due to automatic gc. The numbers above are cumulative.
+            unreliable: true,
+            reasons: ['The reported memory is an upper bound. Due to automatic garbage ' +
+                    'collection, the true allocated memory may be less.']
+        };
+    }
+    where(condition) {
+        assertNotComplex([condition], 'where');
+        const condVals = this.readSync(condition.dataId);
+        return whereImpl(condition.shape, condVals);
+    }
+    dispose() { }
+    floatPrecision() {
+        return 32;
+    }
+    /** Returns the smallest representable number.  */
+    epsilon() {
+        return super.epsilon();
+    }
+}
+//# sourceMappingURL=backend_cpu.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/backend_cpu.js.map

@@ -0,0 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/backend_cpu_test.js.map

@@ -0,0 +1 @@
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Line truncated

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/base.d.ts

@@ -0,0 +1,20 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 * as shared from './shared';
+export { MathBackendCPU } from './backend_cpu';
+export { version as version_cpu } from './version';
+export { shared };

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/base.js

@@ -0,0 +1,29 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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.
+ * =============================================================================
+ */
+/*
+ * base.ts contains all the exports from tfjs-backend-cpu
+ * without auto-kernel registration
+ */
+import { registerBackend } from '@tensorflow/tfjs-core';
+import { MathBackendCPU } from './backend_cpu';
+import * as shared from './shared';
+export { MathBackendCPU } from './backend_cpu';
+export { version as version_cpu } from './version';
+export { shared };
+// Side effects for default initialization of MathBackendCPU
+registerBackend('cpu', () => new MathBackendCPU(), 1 /* priority */);
+//# sourceMappingURL=base.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/base.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"base.js","sourceRoot":"","sources":["../src/base.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH;;;GAGG;AACH,OAAO,EAAC,eAAe,EAAC,MAAM,uBAAuB,CAAC;AACtD,OAAO,EAAC,cAAc,EAAC,MAAM,eAAe,CAAC;AAC7C,OAAO,KAAK,MAAM,MAAM,UAAU,CAAC;AAEnC,OAAO,EAAC,cAAc,EAAC,MAAM,eAAe,CAAC;AAC7C,OAAO,EAAC,OAAO,IAAI,WAAW,EAAC,MAAM,WAAW,CAAC;AACjD,OAAO,EAAC,MAAM,EAAC,CAAC;AAEhB,4DAA4D;AAC5D,eAAe,CAAC,KAAK,EAAE,GAAG,EAAE,CAAC,IAAI,cAAc,EAAE,EAAE,CAAC,CAAC,cAAc,CAAC,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/cpu_util.d.ts

@@ -0,0 +1,18 @@
+/**
+ * @license
+ * Copyright 2019 Google LLC. All Rights Reserved.
+ * 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 { TensorInfo } from '@tensorflow/tfjs-core';
+export declare function assertNotComplex(tensor: TensorInfo | TensorInfo[], opName: string): void;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/cpu_util.js

@@ -0,0 +1,28 @@
+/**
+ * @license
+ * Copyright 2019 Google LLC. All Rights Reserved.
+ * 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 { util } from '@tensorflow/tfjs-core';
+export function assertNotComplex(tensor, opName) {
+    if (!Array.isArray(tensor)) {
+        tensor = [tensor];
+    }
+    tensor.forEach(t => {
+        if (t != null) {
+            util.assert(t.dtype !== 'complex64', () => `${opName} does not support complex64 tensors in the CPU backend.`);
+        }
+    });
+}
+//# sourceMappingURL=cpu_util.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/cpu_util.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"cpu_util.js","sourceRoot":"","sources":["../src/cpu_util.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAa,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAEvD,MAAM,UAAU,gBAAgB,CAC5B,MAA+B,EAAE,MAAc;IACjD,IAAI,CAAC,KAAK,CAAC,OAAO,CAAC,MAAM,CAAC,EAAE;QAC1B,MAAM,GAAG,CAAC,MAAM,CAAC,CAAC;KACnB;IACD,MAAM,CAAC,OAAO,CAAC,CAAC,CAAC,EAAE;QACjB,IAAI,CAAC,IAAI,IAAI,EAAE;YACb,IAAI,CAAC,MAAM,CACP,CAAC,CAAC,KAAK,KAAK,WAAW,EACvB,GAAG,EAAE,CAAC,GACF,MAAM,yDAAyD,CAAC,CAAC;SAC1E;IACH,CAAC,CAAC,CAAC;AACL,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/index.d.ts

@@ -0,0 +1,18 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 * from './base';
+import './register_all_kernels';

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/index.js

@@ -0,0 +1,20 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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.
+ * =============================================================================
+ */
+// All exports from this package should be in base.
+export * from './base';
+import './register_all_kernels';
+//# sourceMappingURL=index.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/index.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["../src/index.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,mDAAmD;AACnD,cAAc,QAAQ,CAAC;AACvB,OAAO,wBAAwB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Abs.d.ts

@@ -0,0 +1,24 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { KernelConfig, TypedArray } from '@tensorflow/tfjs-core';
+import { MathBackendCPU } from '../backend_cpu';
+export declare function simpleAbsImpl(vals: TypedArray): Float32Array;
+export declare const abs: (args: {
+    inputs: Pick<import("@tensorflow/tfjs-core").NamedTensorInfoMap, "x">;
+    backend: MathBackendCPU;
+}) => import("@tensorflow/tfjs-core").Tensor<import("@tensorflow/tfjs-core").Rank>;
+export declare const absConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Abs.js

@@ -0,0 +1,40 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { Abs, util } from '@tensorflow/tfjs-core';
+import { assertNotComplex } from '../cpu_util';
+export function simpleAbsImpl(vals) {
+    const resultValues = new Float32Array(vals.length);
+    for (let i = 0; i < vals.length; ++i) {
+        resultValues[i] = Math.abs(vals[i]);
+    }
+    return resultValues;
+}
+export const abs = (args) => {
+    const { x } = args.inputs;
+    const cpuBackend = args.backend;
+    assertNotComplex(x, 'abs');
+    let resultValues = new Float32Array(util.sizeFromShape(x.shape));
+    const values = cpuBackend.data.get(x.dataId).values;
+    resultValues = simpleAbsImpl(values);
+    return cpuBackend.makeOutput(resultValues, x.shape, 'float32');
+};
+export const absConfig = {
+    kernelName: Abs,
+    backendName: 'cpu',
+    kernelFunc: abs,
+};
+//# sourceMappingURL=Abs.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Abs.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"Abs.js","sourceRoot":"","sources":["../../src/kernels/Abs.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,GAAG,EAAmD,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAGjG,OAAO,EAAC,gBAAgB,EAAC,MAAM,aAAa,CAAC;AAE7C,MAAM,UAAU,aAAa,CAAC,IAAgB;IAC5C,MAAM,YAAY,GAAG,IAAI,YAAY,CAAC,IAAI,CAAC,MAAM,CAAC,CAAC;IACnD,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE;QACpC,YAAY,CAAC,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC;KACrC;IACD,OAAO,YAAY,CAAC;AACtB,CAAC;AAED,MAAM,CAAC,MAAM,GAAG,GAAG,CAAC,IAAkD,EAAE,EAAE;IACxE,MAAM,EAAC,CAAC,EAAC,GAAG,IAAI,CAAC,MAAM,CAAC;IACxB,MAAM,UAAU,GAAG,IAAI,CAAC,OAAO,CAAC;IAEhC,gBAAgB,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC;IAE3B,IAAI,YAAY,GAAG,IAAI,YAAY,CAAC,IAAI,CAAC,aAAa,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC;IACjE,MAAM,MAAM,GAAG,UAAU,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC;IAClE,YAAY,GAAG,aAAa,CAAC,MAAM,CAAC,CAAC;IAErC,OAAO,UAAU,CAAC,UAAU,CAAC,YAAY,EAAE,CAAC,CAAC,KAAK,EAAE,SAAS,CAAC,CAAC;AACjE,CAAC,CAAC;AAEF,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAuB;CACpC,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Acos.d.ts

@@ -0,0 +1,19 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { KernelConfig } from '@tensorflow/tfjs-core';
+export declare const acos: import("@tensorflow/tfjs-core").KernelFunc;
+export declare const acosConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Acos.js

@@ -0,0 +1,25 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { Acos } from '@tensorflow/tfjs-core';
+import { unaryKernelFunc } from '../utils/unary_utils';
+export const acos = unaryKernelFunc(Acos, (xi) => Math.acos(xi));
+export const acosConfig = {
+    kernelName: Acos,
+    backendName: 'cpu',
+    kernelFunc: acos,
+};
+//# sourceMappingURL=Acos.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Acos.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"Acos.js","sourceRoot":"","sources":["../../src/kernels/Acos.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAe,MAAM,uBAAuB,CAAC;AAEzD,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,IAAI,GAAG,eAAe,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC,CAAC;AAEjE,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAI;CACjB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Acosh.d.ts

@@ -0,0 +1,19 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { KernelConfig } from '@tensorflow/tfjs-core';
+export declare const acosh: import("@tensorflow/tfjs-core").KernelFunc;
+export declare const acoshConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Acosh.js

@@ -0,0 +1,25 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { Acosh } from '@tensorflow/tfjs-core';
+import { unaryKernelFunc } from '../utils/unary_utils';
+export const acosh = unaryKernelFunc(Acosh, (xi) => Math.acosh(xi));
+export const acoshConfig = {
+    kernelName: Acosh,
+    backendName: 'cpu',
+    kernelFunc: acosh,
+};
+//# sourceMappingURL=Acosh.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Acosh.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"Acosh.js","sourceRoot":"","sources":["../../src/kernels/Acosh.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,KAAK,EAAe,MAAM,uBAAuB,CAAC;AAE1D,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,KAAK,GAAG,eAAe,CAAC,KAAK,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC;AAEpE,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Add.d.ts

@@ -0,0 +1,21 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { KernelConfig } from '@tensorflow/tfjs-core';
+export declare const addImpl: import("../shared").SimpleBinaryKernelImpl;
+export declare const addComplexImpl: import("../shared").ComplexBinaryKernelImpl;
+export declare const add: import("@tensorflow/tfjs-core").KernelFunc;
+export declare const addConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Add.js

@@ -0,0 +1,30 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { Add } from '@tensorflow/tfjs-core';
+import { createSimpleBinaryKernelImpl } from '../utils/binary_impl';
+import { binaryKernelFunc, createComplexBinaryKernelImpl } from '../utils/binary_utils';
+export const addImpl = createSimpleBinaryKernelImpl(((a, b) => a + b));
+export const addComplexImpl = createComplexBinaryKernelImpl(((aReal, aImag, bReal, bImag) => {
+    return { real: aReal + bReal, imag: aImag + bImag };
+}));
+export const add = binaryKernelFunc(Add, addImpl, addComplexImpl);
+export const addConfig = {
+    kernelName: Add,
+    backendName: 'cpu',
+    kernelFunc: add
+};
+//# sourceMappingURL=Add.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Add.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"Add.js","sourceRoot":"","sources":["../../src/kernels/Add.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,GAAG,EAAe,MAAM,uBAAuB,CAAC;AAExD,OAAO,EAAC,4BAA4B,EAAC,MAAM,sBAAsB,CAAC;AAClE,OAAO,EAAC,gBAAgB,EAAE,6BAA6B,EAAC,MAAM,uBAAuB,CAAC;AAEtF,MAAM,CAAC,MAAM,OAAO,GAAG,4BAA4B,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC;AACvE,MAAM,CAAC,MAAM,cAAc,GACvB,6BAA6B,CAAC,CAAC,CAAC,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,EAAE;IAC5D,OAAO,EAAC,IAAI,EAAE,KAAK,GAAG,KAAK,EAAE,IAAI,EAAE,KAAK,GAAG,KAAK,EAAC,CAAC;AACpD,CAAC,CAAC,CAAC,CAAC;AAER,MAAM,CAAC,MAAM,GAAG,GAAG,gBAAgB,CAAC,GAAG,EAAE,OAAO,EAAE,cAAc,CAAC,CAAC;AAElE,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAG;CAChB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AddN.d.ts

@@ -0,0 +1,23 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { AddNInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
+import { MathBackendCPU } from '../backend_cpu';
+export declare function addN(args: {
+    inputs: AddNInputs;
+    backend: MathBackendCPU;
+}): TensorInfo;
+export declare const addNConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AddN.js

@@ -0,0 +1,39 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { AddN, buffer } from '@tensorflow/tfjs-core';
+import { assertNotComplex } from '../cpu_util';
+export function addN(args) {
+    const { inputs, backend } = args;
+    const tensors = inputs;
+    assertNotComplex(inputs, 'addN');
+    const vals = tensors.map(t => backend.data.get(t.dataId).values);
+    const outBuf = buffer(tensors[0].shape, tensors[0].dtype);
+    const outVals = outBuf.values;
+    for (let i = 0; i < tensors.length; i++) {
+        const currVals = vals[i];
+        for (let j = 0; j < outVals.length; j++) {
+            outVals[j] += currVals[j];
+        }
+    }
+    return backend.makeTensorInfo(outBuf.shape, outBuf.dtype, outBuf.values);
+}
+export const addNConfig = {
+    kernelName: AddN,
+    backendName: 'cpu',
+    kernelFunc: addN
+};
+//# sourceMappingURL=AddN.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AddN.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"AddN.js","sourceRoot":"","sources":["../../src/kernels/AddN.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAc,MAAM,EAA2D,MAAM,uBAAuB,CAAC;AAGzH,OAAO,EAAC,gBAAgB,EAAC,MAAM,aAAa,CAAC;AAE7C,MAAM,UAAU,IAAI,CAAC,IAAmD;IAEtE,MAAM,EAAC,MAAM,EAAE,OAAO,EAAC,GAAG,IAAI,CAAC;IAC/B,MAAM,OAAO,GAAG,MAAkB,CAAC;IAEnC,gBAAgB,CAAC,MAAM,EAAE,MAAM,CAAC,CAAC;IAEjC,MAAM,IAAI,GACN,OAAO,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,CAAC,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC,CAAC;IACtE,MAAM,MAAM,GAAG,MAAM,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC,KAAK,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,KAAkB,CAAC,CAAC;IACvE,MAAM,OAAO,GAAG,MAAM,CAAC,MAAM,CAAC;IAC9B,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,MAAM,EAAE,CAAC,EAAE,EAAE;QACvC,MAAM,QAAQ,GAAG,IAAI,CAAC,CAAC,CAAC,CAAC;QACzB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,OAAO,CAAC,MAAM,EAAE,CAAC,EAAE,EAAE;YACvC,OAAO,CAAC,CAAC,CAAC,IAAI,QAAQ,CAAC,CAAC,CAAC,CAAC;SAC3B;KACF;IAED,OAAO,OAAO,CAAC,cAAc,CAAC,MAAM,CAAC,KAAK,EAAE,MAAM,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC;AAC3E,CAAC;AAED,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAwB;CACrC,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/All.d.ts

@@ -0,0 +1,24 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { AllAttrs, AllInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
+import { MathBackendCPU } from '../backend_cpu';
+export declare function all(args: {
+    inputs: AllInputs;
+    backend: MathBackendCPU;
+    attrs: AllAttrs;
+}): TensorInfo;
+export declare const allConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/All.js

@@ -0,0 +1,65 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { All, backend_util, util } from '@tensorflow/tfjs-core';
+import { assertNotComplex } from '../cpu_util';
+import { reshape } from './Reshape';
+import { transpose } from './Transpose';
+export function all(args) {
+    const { inputs, backend, attrs } = args;
+    const { x } = inputs;
+    const { axis, keepDims } = attrs;
+    assertNotComplex(x, 'all');
+    const origAxes = util.parseAxisParam(axis, x.shape);
+    let axes = origAxes;
+    const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);
+    let $x = x;
+    if (permutedAxes != null) {
+        $x = transpose({ inputs: { x }, backend, attrs: { perm: permutedAxes } });
+        axes = backend_util.getInnerMostAxes(axes.length, x.shape.length);
+    }
+    backend_util.assertAxesAreInnerMostDims('all', axes, $x.shape.length);
+    const [outShape, reduceShape] = backend_util.computeOutAndReduceShapes($x.shape, axes);
+    const reduceSize = util.sizeFromShape(reduceShape);
+    const vals = util.makeZerosTypedArray(util.sizeFromShape(outShape), $x.dtype);
+    const aVals = backend.data.get($x.dataId).values;
+    for (let i = 0; i < vals.length; ++i) {
+        const offset = i * reduceSize;
+        let all = aVals[offset];
+        for (let j = 0; j < reduceSize; ++j) {
+            const value = aVals[offset + j];
+            all = all && value;
+        }
+        vals[i] = all;
+    }
+    if (permutedAxes != null) {
+        backend.disposeIntermediateTensorInfo($x);
+    }
+    const result = backend.makeTensorInfo(outShape, $x.dtype, vals);
+    if (keepDims) {
+        const expandedShape = backend_util.expandShapeToKeepDim(outShape, origAxes);
+        const reshapedResult = reshape({ inputs: { x: result }, backend, attrs: { shape: expandedShape } });
+        backend.disposeIntermediateTensorInfo(result);
+        return reshapedResult;
+    }
+    return result;
+}
+export const allConfig = {
+    kernelName: All,
+    backendName: 'cpu',
+    kernelFunc: all
+};
+//# sourceMappingURL=All.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/All.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"All.js","sourceRoot":"","sources":["../../src/kernels/All.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,GAAG,EAAuB,YAAY,EAAoD,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAGrI,OAAO,EAAC,gBAAgB,EAAC,MAAM,aAAa,CAAC;AAC7C,OAAO,EAAC,OAAO,EAAC,MAAM,WAAW,CAAC;AAClC,OAAO,EAAC,SAAS,EAAC,MAAM,aAAa,CAAC;AAEtC,MAAM,UAAU,GAAG,CACf,IAAmE;IAErE,MAAM,EAAC,MAAM,EAAE,OAAO,EAAE,KAAK,EAAC,GAAG,IAAI,CAAC;IACtC,MAAM,EAAC,CAAC,EAAC,GAAG,MAAM,CAAC;IACnB,MAAM,EAAC,IAAI,EAAE,QAAQ,EAAC,GAAG,KAAK,CAAC;IAE/B,gBAAgB,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC;IAE3B,MAAM,QAAQ,GAAG,IAAI,CAAC,cAAc,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,CAAC;IACpD,IAAI,IAAI,GAAG,QAAQ,CAAC;IACpB,MAAM,YAAY,GAAG,YAAY,CAAC,kBAAkB,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IAC3E,IAAI,EAAE,GAAG,CAAC,CAAC;IACX,IAAI,YAAY,IAAI,IAAI,EAAE;QACxB,EAAE,GAAG,SAAS,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,IAAI,EAAE,YAAY,EAAC,EAAC,CAAC,CAAC;QACpE,IAAI,GAAG,YAAY,CAAC,gBAAgB,CAAC,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;KACnE;IAED,YAAY,CAAC,0BAA0B,CAAC,KAAK,EAAE,IAAI,EAAE,EAAE,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IACtE,MAAM,CAAC,QAAQ,EAAE,WAAW,CAAC,GACzB,YAAY,CAAC,yBAAyB,CAAC,EAAE,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC;IAC3D,MAAM,UAAU,GAAG,IAAI,CAAC,aAAa,CAAC,WAAW,CAAC,CAAC;IACnD,MAAM,IAAI,GAAG,IAAI,CAAC,mBAAmB,CAAC,IAAI,CAAC,aAAa,CAAC,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,CAAC;IAE9E,MAAM,KAAK,GAAG,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC;IAC/D,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE;QACpC,MAAM,MAAM,GAAG,CAAC,GAAG,UAAU,CAAC;QAC9B,IAAI,GAAG,GAAG,KAAK,CAAC,MAAM,CAAC,CAAC;QACxB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,UAAU,EAAE,EAAE,CAAC,EAAE;YACnC,MAAM,KAAK,GAAG,KAAK,CAAC,MAAM,GAAG,CAAC,CAAC,CAAC;YAChC,GAAG,GAAG,GAAG,IAAI,KAAK,CAAC;SACpB;QACD,IAAI,CAAC,CAAC,CAAC,GAAG,GAAG,CAAC;KACf;IAED,IAAI,YAAY,IAAI,IAAI,EAAE;QACxB,OAAO,CAAC,6BAA6B,CAAC,EAAE,CAAC,CAAC;KAC3C;IAED,MAAM,MAAM,GAAG,OAAO,CAAC,cAAc,CAAC,QAAQ,EAAE,EAAE,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC;IAEhE,IAAI,QAAQ,EAAE;QACZ,MAAM,aAAa,GAAG,YAAY,CAAC,oBAAoB,CAAC,QAAQ,EAAE,QAAQ,CAAC,CAAC;QAC5E,MAAM,cAAc,GAChB,OAAO,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAE,MAAM,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,KAAK,EAAE,aAAa,EAAC,EAAC,CAAC,CAAC;QAE3E,OAAO,CAAC,6BAA6B,CAAC,MAAM,CAAC,CAAC;QAE9C,OAAO,cAAc,CAAC;KACvB;IAED,OAAO,MAAM,CAAC;AAChB,CAAC;AAED,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAuB;CACpC,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Any.d.ts

@@ -0,0 +1,24 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { AnyAttrs, AnyInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
+import { MathBackendCPU } from '../backend_cpu';
+export declare function any(args: {
+    inputs: AnyInputs;
+    backend: MathBackendCPU;
+    attrs: AnyAttrs;
+}): TensorInfo;
+export declare const anyConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Any.js

@@ -0,0 +1,65 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { Any, backend_util, util } from '@tensorflow/tfjs-core';
+import { assertNotComplex } from '../cpu_util';
+import { reshape } from './Reshape';
+import { transpose } from './Transpose';
+export function any(args) {
+    const { inputs, backend, attrs } = args;
+    const { x } = inputs;
+    const { axis, keepDims } = attrs;
+    assertNotComplex(x, 'any');
+    const origAxes = util.parseAxisParam(axis, x.shape);
+    let axes = origAxes;
+    const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);
+    let $x = x;
+    if (permutedAxes != null) {
+        $x = transpose({ inputs: { x }, backend, attrs: { perm: permutedAxes } });
+        axes = backend_util.getInnerMostAxes(axes.length, x.shape.length);
+    }
+    backend_util.assertAxesAreInnerMostDims('any', axes, $x.shape.length);
+    const [outShape, reduceShape] = backend_util.computeOutAndReduceShapes($x.shape, axes);
+    const reduceSize = util.sizeFromShape(reduceShape);
+    const vals = util.makeZerosTypedArray(util.sizeFromShape(outShape), $x.dtype);
+    const aVals = backend.data.get($x.dataId).values;
+    for (let i = 0; i < vals.length; ++i) {
+        const offset = i * reduceSize;
+        let anyVal = aVals[offset];
+        for (let j = 0; j < reduceSize; ++j) {
+            const value = aVals[offset + j];
+            anyVal = anyVal || value;
+        }
+        vals[i] = anyVal;
+    }
+    if (permutedAxes != null) {
+        backend.disposeIntermediateTensorInfo($x);
+    }
+    const result = backend.makeTensorInfo(outShape, $x.dtype, vals);
+    if (keepDims) {
+        const expandedShape = backend_util.expandShapeToKeepDim(outShape, origAxes);
+        const reshapedResult = reshape({ inputs: { x: result }, backend, attrs: { shape: expandedShape } });
+        backend.disposeIntermediateTensorInfo(result);
+        return reshapedResult;
+    }
+    return result;
+}
+export const anyConfig = {
+    kernelName: Any,
+    backendName: 'cpu',
+    kernelFunc: any
+};
+//# sourceMappingURL=Any.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Any.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"Any.js","sourceRoot":"","sources":["../../src/kernels/Any.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,GAAG,EAAuB,YAAY,EAAoD,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAGrI,OAAO,EAAC,gBAAgB,EAAC,MAAM,aAAa,CAAC;AAC7C,OAAO,EAAC,OAAO,EAAC,MAAM,WAAW,CAAC;AAClC,OAAO,EAAC,SAAS,EAAC,MAAM,aAAa,CAAC;AAEtC,MAAM,UAAU,GAAG,CACf,IAAmE;IAErE,MAAM,EAAC,MAAM,EAAE,OAAO,EAAE,KAAK,EAAC,GAAG,IAAI,CAAC;IACtC,MAAM,EAAC,CAAC,EAAC,GAAG,MAAM,CAAC;IACnB,MAAM,EAAC,IAAI,EAAE,QAAQ,EAAC,GAAG,KAAK,CAAC;IAE/B,gBAAgB,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC;IAE3B,MAAM,QAAQ,GAAG,IAAI,CAAC,cAAc,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,CAAC;IACpD,IAAI,IAAI,GAAG,QAAQ,CAAC;IACpB,MAAM,YAAY,GAAG,YAAY,CAAC,kBAAkB,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IAC3E,IAAI,EAAE,GAAG,CAAC,CAAC;IACX,IAAI,YAAY,IAAI,IAAI,EAAE;QACxB,EAAE,GAAG,SAAS,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,IAAI,EAAE,YAAY,EAAC,EAAC,CAAC,CAAC;QACpE,IAAI,GAAG,YAAY,CAAC,gBAAgB,CAAC,IAAI,CAAC,MAAM,EAAE,CAAC,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;KACnE;IAED,YAAY,CAAC,0BAA0B,CAAC,KAAK,EAAE,IAAI,EAAE,EAAE,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IACtE,MAAM,CAAC,QAAQ,EAAE,WAAW,CAAC,GACzB,YAAY,CAAC,yBAAyB,CAAC,EAAE,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC;IAC3D,MAAM,UAAU,GAAG,IAAI,CAAC,aAAa,CAAC,WAAW,CAAC,CAAC;IACnD,MAAM,IAAI,GAAG,IAAI,CAAC,mBAAmB,CAAC,IAAI,CAAC,aAAa,CAAC,QAAQ,CAAC,EAAE,EAAE,CAAC,KAAK,CAAC,CAAC;IAE9E,MAAM,KAAK,GAAG,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC;IAC/D,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE;QACpC,MAAM,MAAM,GAAG,CAAC,GAAG,UAAU,CAAC;QAC9B,IAAI,MAAM,GAAG,KAAK,CAAC,MAAM,CAAC,CAAC;QAC3B,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,UAAU,EAAE,EAAE,CAAC,EAAE;YACnC,MAAM,KAAK,GAAG,KAAK,CAAC,MAAM,GAAG,CAAC,CAAC,CAAC;YAChC,MAAM,GAAG,MAAM,IAAI,KAAK,CAAC;SAC1B;QACD,IAAI,CAAC,CAAC,CAAC,GAAG,MAAM,CAAC;KAClB;IAED,IAAI,YAAY,IAAI,IAAI,EAAE;QACxB,OAAO,CAAC,6BAA6B,CAAC,EAAE,CAAC,CAAC;KAC3C;IAED,MAAM,MAAM,GAAG,OAAO,CAAC,cAAc,CAAC,QAAQ,EAAE,EAAE,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC;IAEhE,IAAI,QAAQ,EAAE;QACZ,MAAM,aAAa,GAAG,YAAY,CAAC,oBAAoB,CAAC,QAAQ,EAAE,QAAQ,CAAC,CAAC;QAC5E,MAAM,cAAc,GAChB,OAAO,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAE,MAAM,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,KAAK,EAAE,aAAa,EAAC,EAAC,CAAC,CAAC;QAE3E,OAAO,CAAC,6BAA6B,CAAC,MAAM,CAAC,CAAC;QAE9C,OAAO,cAAc,CAAC;KACvB;IAED,OAAO,MAAM,CAAC;AAChB,CAAC;AAED,MAAM,CAAC,MAAM,SAAS,GAAiB;IACrC,UAAU,EAAE,GAAG;IACf,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,GAAuB;CACpC,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/ArgMax.d.ts

@@ -0,0 +1,24 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { ArgMaxAttrs, ArgMaxInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
+import { MathBackendCPU } from '../backend_cpu';
+export declare function argMax(args: {
+    inputs: ArgMaxInputs;
+    backend: MathBackendCPU;
+    attrs: ArgMaxAttrs;
+}): TensorInfo;
+export declare const argMaxConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/ArgMax.js

@@ -0,0 +1,62 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { ArgMax, backend_util, util } from '@tensorflow/tfjs-core';
+import { assertNotComplex } from '../cpu_util';
+import { transpose } from './Transpose';
+export function argMax(args) {
+    const { inputs, backend, attrs } = args;
+    const { x } = inputs;
+    const { axis } = attrs;
+    assertNotComplex(x, 'argMax');
+    let axes = util.parseAxisParam(axis, x.shape);
+    const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);
+    let $x = x;
+    const intermediateTensorInfos = [];
+    if (permutedAxes != null) {
+        $x = transpose({ inputs: { x }, backend, attrs: { perm: permutedAxes } });
+        intermediateTensorInfos.push($x);
+        axes = backend_util.getInnerMostAxes(axes.length, $x.shape.length);
+    }
+    axes = [axes[0]];
+    backend_util.assertAxesAreInnerMostDims('argMax', axes, $x.shape.length);
+    const [outShape, reduceShape] = backend_util.computeOutAndReduceShapes($x.shape, axes);
+    const outSize = util.sizeFromShape(outShape);
+    const vals = util.makeZerosTypedArray(outSize, 'int32');
+    const reduceSize = util.sizeFromShape(reduceShape);
+    const aVals = backend.data.get($x.dataId).values;
+    for (let i = 0; i < vals.length; ++i) {
+        const offset = i * reduceSize;
+        let max = aVals[offset];
+        let maxIndex = 0;
+        for (let j = 0; j < reduceSize; ++j) {
+            const value = aVals[offset + j];
+            if (value > max) {
+                max = value;
+                maxIndex = j;
+            }
+        }
+        vals[i] = maxIndex;
+    }
+    intermediateTensorInfos.forEach(t => backend.disposeIntermediateTensorInfo(t));
+    return backend.makeTensorInfo(outShape, 'int32', vals);
+}
+export const argMaxConfig = {
+    kernelName: ArgMax,
+    backendName: 'cpu',
+    kernelFunc: argMax
+};
+//# sourceMappingURL=ArgMax.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/ArgMax.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"ArgMax.js","sourceRoot":"","sources":["../../src/kernels/ArgMax.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,MAAM,EAA6B,YAAY,EAAoD,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAG9I,OAAO,EAAC,gBAAgB,EAAC,MAAM,aAAa,CAAC;AAC7C,OAAO,EAAC,SAAS,EAAC,MAAM,aAAa,CAAC;AAEtC,MAAM,UAAU,MAAM,CAClB,IAAyE;IAE3E,MAAM,EAAC,MAAM,EAAE,OAAO,EAAE,KAAK,EAAC,GAAG,IAAI,CAAC;IACtC,MAAM,EAAC,CAAC,EAAC,GAAG,MAAM,CAAC;IACnB,MAAM,EAAC,IAAI,EAAC,GAAG,KAAK,CAAC;IAErB,gBAAgB,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC;IAE9B,IAAI,IAAI,GAAG,IAAI,CAAC,cAAc,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,CAAC;IAC9C,MAAM,YAAY,GAAG,YAAY,CAAC,kBAAkB,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IAC3E,IAAI,EAAE,GAAG,CAAC,CAAC;IACX,MAAM,uBAAuB,GAAG,EAAE,CAAC;IACnC,IAAI,YAAY,IAAI,IAAI,EAAE;QACxB,EAAE,GAAG,SAAS,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,IAAI,EAAE,YAAY,EAAC,EAAC,CAAC,CAAC;QACpE,uBAAuB,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC;QACjC,IAAI,GAAG,YAAY,CAAC,gBAAgB,CAAC,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;KACpE;IAED,IAAI,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC;IACjB,YAAY,CAAC,0BAA0B,CAAC,QAAQ,EAAE,IAAI,EAAE,EAAE,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IACzE,MAAM,CAAC,QAAQ,EAAE,WAAW,CAAC,GACzB,YAAY,CAAC,yBAAyB,CAAC,EAAE,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC;IAE3D,MAAM,OAAO,GAAG,IAAI,CAAC,aAAa,CAAC,QAAQ,CAAC,CAAC;IAC7C,MAAM,IAAI,GAAG,IAAI,CAAC,mBAAmB,CAAC,OAAO,EAAE,OAAO,CAAC,CAAC;IACxD,MAAM,UAAU,GAAG,IAAI,CAAC,aAAa,CAAC,WAAW,CAAC,CAAC;IAEnD,MAAM,KAAK,GAAG,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC;IAC/D,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE;QACpC,MAAM,MAAM,GAAG,CAAC,GAAG,UAAU,CAAC;QAC9B,IAAI,GAAG,GAAG,KAAK,CAAC,MAAM,CAAC,CAAC;QACxB,IAAI,QAAQ,GAAG,CAAC,CAAC;QACjB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,UAAU,EAAE,EAAE,CAAC,EAAE;YACnC,MAAM,KAAK,GAAG,KAAK,CAAC,MAAM,GAAG,CAAC,CAAC,CAAC;YAChC,IAAI,KAAK,GAAG,GAAG,EAAE;gBACf,GAAG,GAAG,KAAK,CAAC;gBACZ,QAAQ,GAAG,CAAC,CAAC;aACd;SACF;QACD,IAAI,CAAC,CAAC,CAAC,GAAG,QAAQ,CAAC;KACpB;IAED,uBAAuB,CAAC,OAAO,CAC3B,CAAC,CAAC,EAAE,CAAC,OAAO,CAAC,6BAA6B,CAAC,CAAC,CAAC,CAAC,CAAC;IAEnD,OAAO,OAAO,CAAC,cAAc,CAAC,QAAQ,EAAE,OAAO,EAAE,IAAI,CAAC,CAAC;AACzD,CAAC;AAED,MAAM,CAAC,MAAM,YAAY,GAAiB;IACxC,UAAU,EAAE,MAAM;IAClB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,MAA0B;CACvC,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/ArgMin.d.ts

@@ -0,0 +1,24 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { ArgMinAttrs, ArgMinInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
+import { MathBackendCPU } from '../backend_cpu';
+export declare function argMin(args: {
+    inputs: ArgMinInputs;
+    backend: MathBackendCPU;
+    attrs: ArgMinAttrs;
+}): TensorInfo;
+export declare const argMinConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/ArgMin.js

@@ -0,0 +1,62 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { ArgMin, backend_util, util } from '@tensorflow/tfjs-core';
+import { assertNotComplex } from '../cpu_util';
+import { transpose } from './Transpose';
+export function argMin(args) {
+    const { inputs, backend, attrs } = args;
+    const { x } = inputs;
+    const { axis } = attrs;
+    assertNotComplex(x, 'argMin');
+    let axes = util.parseAxisParam(axis, x.shape);
+    const permutedAxes = backend_util.getAxesPermutation(axes, x.shape.length);
+    let $x = x;
+    const intermediateTensorInfos = [];
+    if (permutedAxes != null) {
+        $x = transpose({ inputs: { x }, backend, attrs: { perm: permutedAxes } });
+        intermediateTensorInfos.push($x);
+        axes = backend_util.getInnerMostAxes(axes.length, $x.shape.length);
+    }
+    axes = [axes[0]];
+    backend_util.assertAxesAreInnerMostDims('argMin', axes, $x.shape.length);
+    const [outShape, reduceShape] = backend_util.computeOutAndReduceShapes($x.shape, axes);
+    const outSize = util.sizeFromShape(outShape);
+    const vals = util.makeZerosTypedArray(outSize, 'int32');
+    const reduceSize = util.sizeFromShape(reduceShape);
+    const aVals = backend.data.get($x.dataId).values;
+    for (let i = 0; i < vals.length; ++i) {
+        const offset = i * reduceSize;
+        let min = aVals[offset];
+        let minIndex = 0;
+        for (let j = 0; j < reduceSize; ++j) {
+            const value = aVals[offset + j];
+            if (value < min) {
+                min = value;
+                minIndex = j;
+            }
+        }
+        vals[i] = minIndex;
+    }
+    intermediateTensorInfos.forEach(t => backend.disposeIntermediateTensorInfo(t));
+    return backend.makeTensorInfo(outShape, 'int32', vals);
+}
+export const argMinConfig = {
+    kernelName: ArgMin,
+    backendName: 'cpu',
+    kernelFunc: argMin
+};
+//# sourceMappingURL=ArgMin.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/ArgMin.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"ArgMin.js","sourceRoot":"","sources":["../../src/kernels/ArgMin.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,MAAM,EAA6B,YAAY,EAAoD,IAAI,EAAC,MAAM,uBAAuB,CAAC;AAG9I,OAAO,EAAC,gBAAgB,EAAC,MAAM,aAAa,CAAC;AAC7C,OAAO,EAAC,SAAS,EAAC,MAAM,aAAa,CAAC;AAEtC,MAAM,UAAU,MAAM,CAClB,IAAyE;IAE3E,MAAM,EAAC,MAAM,EAAE,OAAO,EAAE,KAAK,EAAC,GAAG,IAAI,CAAC;IACtC,MAAM,EAAC,CAAC,EAAC,GAAG,MAAM,CAAC;IACnB,MAAM,EAAC,IAAI,EAAC,GAAG,KAAK,CAAC;IAErB,gBAAgB,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC;IAE9B,IAAI,IAAI,GAAG,IAAI,CAAC,cAAc,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,CAAC;IAC9C,MAAM,YAAY,GAAG,YAAY,CAAC,kBAAkB,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IAC3E,IAAI,EAAE,GAAG,CAAC,CAAC;IACX,MAAM,uBAAuB,GAAG,EAAE,CAAC;IACnC,IAAI,YAAY,IAAI,IAAI,EAAE;QACxB,EAAE,GAAG,SAAS,CAAC,EAAC,MAAM,EAAE,EAAC,CAAC,EAAC,EAAE,OAAO,EAAE,KAAK,EAAE,EAAC,IAAI,EAAE,YAAY,EAAC,EAAC,CAAC,CAAC;QACpE,uBAAuB,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC;QACjC,IAAI,GAAG,YAAY,CAAC,gBAAgB,CAAC,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;KACpE;IAED,IAAI,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC;IACjB,YAAY,CAAC,0BAA0B,CAAC,QAAQ,EAAE,IAAI,EAAE,EAAE,CAAC,KAAK,CAAC,MAAM,CAAC,CAAC;IACzE,MAAM,CAAC,QAAQ,EAAE,WAAW,CAAC,GACzB,YAAY,CAAC,yBAAyB,CAAC,EAAE,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC;IAE3D,MAAM,OAAO,GAAG,IAAI,CAAC,aAAa,CAAC,QAAQ,CAAC,CAAC;IAC7C,MAAM,IAAI,GAAG,IAAI,CAAC,mBAAmB,CAAC,OAAO,EAAE,OAAO,CAAC,CAAC;IACxD,MAAM,UAAU,GAAG,IAAI,CAAC,aAAa,CAAC,WAAW,CAAC,CAAC;IAEnD,MAAM,KAAK,GAAG,OAAO,CAAC,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,MAAoB,CAAC;IAC/D,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,MAAM,EAAE,EAAE,CAAC,EAAE;QACpC,MAAM,MAAM,GAAG,CAAC,GAAG,UAAU,CAAC;QAC9B,IAAI,GAAG,GAAG,KAAK,CAAC,MAAM,CAAC,CAAC;QACxB,IAAI,QAAQ,GAAG,CAAC,CAAC;QACjB,KAAK,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,UAAU,EAAE,EAAE,CAAC,EAAE;YACnC,MAAM,KAAK,GAAG,KAAK,CAAC,MAAM,GAAG,CAAC,CAAC,CAAC;YAChC,IAAI,KAAK,GAAG,GAAG,EAAE;gBACf,GAAG,GAAG,KAAK,CAAC;gBACZ,QAAQ,GAAG,CAAC,CAAC;aACd;SACF;QACD,IAAI,CAAC,CAAC,CAAC,GAAG,QAAQ,CAAC;KACpB;IAED,uBAAuB,CAAC,OAAO,CAC3B,CAAC,CAAC,EAAE,CAAC,OAAO,CAAC,6BAA6B,CAAC,CAAC,CAAC,CAAC,CAAC;IAEnD,OAAO,OAAO,CAAC,cAAc,CAAC,QAAQ,EAAE,OAAO,EAAE,IAAI,CAAC,CAAC;AACzD,CAAC;AAED,MAAM,CAAC,MAAM,YAAY,GAAiB;IACxC,UAAU,EAAE,MAAM;IAClB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,MAA0B;CACvC,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Asin.d.ts

@@ -0,0 +1,19 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { KernelConfig } from '@tensorflow/tfjs-core';
+export declare const asin: import("@tensorflow/tfjs-core").KernelFunc;
+export declare const asinConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Asin.js

@@ -0,0 +1,25 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { Asin } from '@tensorflow/tfjs-core';
+import { unaryKernelFunc } from '../utils/unary_utils';
+export const asin = unaryKernelFunc(Asin, (xi) => Math.asin(xi));
+export const asinConfig = {
+    kernelName: Asin,
+    backendName: 'cpu',
+    kernelFunc: asin,
+};
+//# sourceMappingURL=Asin.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Asin.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"Asin.js","sourceRoot":"","sources":["../../src/kernels/Asin.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAe,MAAM,uBAAuB,CAAC;AAEzD,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,IAAI,GAAG,eAAe,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC,CAAC;AAEjE,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAI;CACjB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Asinh.d.ts

@@ -0,0 +1,19 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { KernelConfig } from '@tensorflow/tfjs-core';
+export declare const asinh: import("@tensorflow/tfjs-core").KernelFunc;
+export declare const asinhConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Asinh.js

@@ -0,0 +1,25 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { Asinh } from '@tensorflow/tfjs-core';
+import { unaryKernelFunc } from '../utils/unary_utils';
+export const asinh = unaryKernelFunc(Asinh, (xi) => Math.asinh(xi));
+export const asinhConfig = {
+    kernelName: Asinh,
+    backendName: 'cpu',
+    kernelFunc: asinh,
+};
+//# sourceMappingURL=Asinh.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Asinh.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"Asinh.js","sourceRoot":"","sources":["../../src/kernels/Asinh.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,KAAK,EAAe,MAAM,uBAAuB,CAAC;AAE1D,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,KAAK,GAAG,eAAe,CAAC,KAAK,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC;AAEpE,MAAM,CAAC,MAAM,WAAW,GAAiB;IACvC,UAAU,EAAE,KAAK;IACjB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,KAAK;CAClB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atan.d.ts

@@ -0,0 +1,19 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { KernelConfig } from '@tensorflow/tfjs-core';
+export declare const atan: import("@tensorflow/tfjs-core").KernelFunc;
+export declare const atanConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atan.js

@@ -0,0 +1,25 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { Atan } from '@tensorflow/tfjs-core';
+import { unaryKernelFunc } from '../utils/unary_utils';
+export const atan = unaryKernelFunc(Atan, (xi) => Math.atan(xi));
+export const atanConfig = {
+    kernelName: Atan,
+    backendName: 'cpu',
+    kernelFunc: atan,
+};
+//# sourceMappingURL=Atan.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atan.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"Atan.js","sourceRoot":"","sources":["../../src/kernels/Atan.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AAEH,OAAO,EAAC,IAAI,EAAe,MAAM,uBAAuB,CAAC;AAEzD,OAAO,EAAC,eAAe,EAAC,MAAM,sBAAsB,CAAC;AAErD,MAAM,CAAC,MAAM,IAAI,GAAG,eAAe,CAAC,IAAI,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,CAAC,CAAC;AAEjE,MAAM,CAAC,MAAM,UAAU,GAAiB;IACtC,UAAU,EAAE,IAAI;IAChB,WAAW,EAAE,KAAK;IAClB,UAAU,EAAE,IAAI;CACjB,CAAC"}

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atan2.d.ts

@@ -0,0 +1,20 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { KernelConfig } from '@tensorflow/tfjs-core';
+export declare const atan2Impl: import("../shared").SimpleBinaryKernelImpl;
+export declare const atan2: import("@tensorflow/tfjs-core").KernelFunc;
+export declare const atan2Config: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atan2.js

@@ -0,0 +1,27 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { Atan2 } from '@tensorflow/tfjs-core';
+import { createSimpleBinaryKernelImpl } from '../utils/binary_impl';
+import { binaryKernelFunc } from '../utils/binary_utils';
+export const atan2Impl = createSimpleBinaryKernelImpl((aValue, bValue) => Math.atan2(aValue, bValue));
+export const atan2 = binaryKernelFunc(Atan2, atan2Impl);
+export const atan2Config = {
+    kernelName: Atan2,
+    backendName: 'cpu',
+    kernelFunc: atan2,
+};
+//# sourceMappingURL=Atan2.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atan2.js.map

@@ -0,0 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atanh.d.ts

@@ -0,0 +1,19 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { KernelConfig } from '@tensorflow/tfjs-core';
+export declare const atanh: import("@tensorflow/tfjs-core").KernelFunc;
+export declare const atanhConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atanh.js

@@ -0,0 +1,25 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { Atanh } from '@tensorflow/tfjs-core';
+import { unaryKernelFunc } from '../utils/unary_utils';
+export const atanh = unaryKernelFunc(Atanh, (xi) => Math.atanh(xi));
+export const atanhConfig = {
+    kernelName: Atanh,
+    backendName: 'cpu',
+    kernelFunc: atanh,
+};
+//# sourceMappingURL=Atanh.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/Atanh.js.map

@@ -0,0 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AvgPool.d.ts

@@ -0,0 +1,24 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { AvgPoolAttrs, AvgPoolInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
+import { MathBackendCPU } from '../backend_cpu';
+export declare function avgPool(args: {
+    inputs: AvgPoolInputs;
+    backend: MathBackendCPU;
+    attrs: AvgPoolAttrs;
+}): TensorInfo;
+export declare const avgPoolConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AvgPool.js

@@ -0,0 +1,48 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { AvgPool, backend_util, util } from '@tensorflow/tfjs-core';
+import { assertNotComplex } from '../cpu_util';
+import { pool } from '../utils/pool_utils';
+import { identity } from './Identity';
+export function avgPool(args) {
+    const { inputs, backend, attrs } = args;
+    const { x } = inputs;
+    assertNotComplex(x, 'avgPool');
+    const { filterSize, strides, pad, dimRoundingMode } = attrs;
+    const dilations = 1;
+    util.assert(backend_util.eitherStridesOrDilationsAreOne(strides, dilations), () => 'Error in avgPool: Either strides or dilations must be 1. ' +
+        `Got strides ${strides} and dilations '${dilations}'`);
+    const convInfo = backend_util.computePool2DInfo(x.shape, filterSize, strides, dilations, pad, dimRoundingMode);
+    let res;
+    if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&
+        util.arraysEqual(convInfo.inShape, convInfo.outShape)) {
+        res = identity({ inputs: { x }, backend });
+    }
+    else {
+        const xValues = backend.data.get(x.dataId).values;
+        const strides = util.computeStrides(x.shape);
+        const buffer = pool(xValues, x.shape, x.dtype, strides, convInfo, 'avg');
+        res = backend.makeTensorInfo(convInfo.outShape, x.dtype, buffer.values);
+    }
+    return res;
+}
+export const avgPoolConfig = {
+    kernelName: AvgPool,
+    backendName: 'cpu',
+    kernelFunc: avgPool
+};
+//# sourceMappingURL=AvgPool.js.map

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AvgPool.js.map

@@ -0,0 +1 @@
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Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AvgPool3D.d.ts

@@ -0,0 +1,24 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { AvgPool3DAttrs, AvgPool3DInputs, KernelConfig, TensorInfo } from '@tensorflow/tfjs-core';
+import { MathBackendCPU } from '../backend_cpu';
+export declare function avgPool3D(args: {
+    inputs: AvgPool3DInputs;
+    backend: MathBackendCPU;
+    attrs: AvgPool3DAttrs;
+}): TensorInfo;
+export declare const avgPool3DConfig: KernelConfig;

Projects/TensorFlow/TS/Bot-Modules/Learning-Bot/Low-Frequency-Learning/node_modules/@tensorflow/tfjs-backend-cpu/dist/kernels/AvgPool3D.js

@@ -0,0 +1,35 @@
+/**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * 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 { AvgPool3D, backend_util, util } from '@tensorflow/tfjs-core';
+import { assertNotComplex } from '../cpu_util';
+import { pool3d } from '../utils/pool_utils';
+export function avgPool3D(args) {
+    const { inputs, backend, attrs } = args;
+    const { x } = inputs;
+    const { filterSize, strides, pad, dimRoundingMode, dataFormat } = attrs;
+    assertNotComplex(x, 'avgPool3d');
+    const convInfo = backend_util.computePool3DInfo(x.shape, filterSize, strides, 1 /* dilations */, pad, dimRoundingMode, dataFormat);
+    const xValues = backend.data.get(x.dataId).values;
+    const outBuf = pool3d(xValues, x.shape, x.dtype, util.computeStrides(x.shape), convInfo, 'avg');
+    return backend.makeTensorInfo(outBuf.shape, 'float32', outBuf.values);
+}
+export const avgPool3DConfig = {
+    kernelName: AvgPool3D,
+    backendName: 'cpu',
+    kernelFunc: avgPool3D
+};
+//# sourceMappingURL=AvgPool3D.js.map