typo
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@@ -555,7 +555,7 @@ exports.newLearningProcess = function (processIndex, bot, logger, UTILITIES) {
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let mainDependency = {}
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/* The first phase here is about checking that we have everything we need at the definition level. */
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let dataDependencies = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
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let dataDependencies = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processDependencies, 'Data Dependency')
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/*
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We will filter ourt declared dependencies that are not present in the workspace.
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This will allow the user to have less Data Mines loaded at the workspace
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@@ -565,7 +565,7 @@ exports.newLearningProcess = function (processIndex, bot, logger, UTILITIES) {
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if (commons.validateDataDependencies(dataDependencies, callBackFunction) !== true) { return }
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let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
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let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
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if (commons.validateOutputDatasets(outputDatasets, callBackFunction) !== true) { return }
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/* The second phase is about transforming the inputs into a format that can be used to apply the user defined code. */
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@@ -624,7 +624,7 @@ exports.newLearningProcess = function (processIndex, bot, logger, UTILITIES) {
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}
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async function writeProcessFiles() {
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let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBrachToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
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let outputDatasets = TS.projects.superalgos.utilities.nodeFunctions.nodeBranchToArray(bot.processNode.referenceParent.processOutput, 'Output Dataset')
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await writeTimeFramesFiles(currentTimeFrame, currentTimeFrameLabel)
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await writeDataRanges()
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