Assistant: 
User: 
    Please analyze the following code file and determine whether it belongs to any of the provided modules based on the listed module descriptions.
    Note that the provided list of modules may not be exhaustive, and some files may not belong to any of the modules. 
    If the code belongs to a module, Only output the module name, without any explanation or additional information; otherwise, return 'None' if it does not belong to any module.

    Modules : {
        "UI": "Handles the front-end user interface, consisting of HTML, CSS, and JavaScript files generated by the Angular framework. It processes user requests and interacts with the server using AJAX for data retrieval and client-side interactions."
"Test Driver": "Facilitates automated regression testing and handles transmission of test data in JSON format. It performs Java testing using TestNG and JavaScript unit-testing with Jest. It also sets up a simulated web server for servlet-level tests and automates end-to-end testing using Selenium Java."
"Logic": "Manages the business logic of TEAMMATES, including handling relationships between entities, managing transactions, input value sanitization, access control rights, and interfacing with GAE-provided or third-party APIs."
"Storage": "Performs CRUD operations on data entities, validation of data, and abstraction of GQL queries, hiding the complexities of datastore from the Logic component."
"Common": "Contains utility classes, custom exceptions, and data transfer objects used across the entire application for easy consolidation and transfer of structured data."
"E2E": "Handles end-to-end testing and load & performance testing, providing helpers, abstractions of browser pages, and test cases for E2E tests and L&P tests."
"Client": "Contains scripts for administrative tasks, such as migrating data to a new schema and calculating statistics. This module connects directly to the application back-end for administrative purposes."
    }

    Code: package teammates.common.datatransfer; /** * This class represents an feedback contribution question result for a given team. * It exposes the result via some public variables. */ public class TeamEvalResult { /** submitted value is uninitialized. */ public static final int NA = Const.INT_UNINITIALIZED; /** submitted 'Not SUre'. */ public static final int NSU = Const.POINTS_NOT_SURE; /** did Not SuBmit. */ public static final int NSB = Const.POINTS_NOT_SUBMITTED; private static final Logger log = Logger.getLogger(); /** submission values originally from students of the team. */ public int[][] claimed; /** submission values to be shown to instructor (after normalization). */ public int[][] normalizedClaimed; /** average perception of team shown to instructor. Excludes self evaluations */ public int[] normalizedAveragePerceived; /** team perception shown to students. denormalized to match their own claims */ public int[][] denormalizedAveragePerceived; /** the values that were used to calculate normalizedAveragePerceived values. */ public int[][] normalizedPeerContributionRatio; public TeamEvalResult(int[][] submissionValues) { /*This is the only method that should be public. However, many of the * other methods are set as public for the ease of testing. */ log.fine("==================\n" + "starting result calculation for\n" + pointsToString(submissionValues)); claimed = submissionValues; normalizedClaimed = normalizeValues(claimed); int[][] claimedSanitized = sanitizeInput(submissionValues); log.fine("claimed values sanitized :\n" + pointsToString(claimedSanitized)); double[][] claimedSanitizedNormalized = normalizeValues(intToDouble(claimedSanitized)); log.fine("claimed values sanitized and normalized :\n" + pointsToString(claimedSanitizedNormalized)); double[][] peerContributionRatioAsDouble = calculatePeerContributionRatio(claimedSanitizedNormalized); log.fine("peerContributionRatio as double :\n" + pointsToString(peerContributionRatioAsDouble)); double[] averagePerceivedAsDouble = averageColumns(peerContributionRatioAsDouble); log.fine("averagePerceived as double:\n" + replaceMagicNumbers(Arrays.toString(averagePerceivedAsDouble))); double[] normalizedAveragePerceivedAsDouble = normalizeValues(averagePerceivedAsDouble); log.fine("normalizedAveragePerceivedAsDouble as double:\n" + replaceMagicNumbers(Arrays .toString(normalizedAveragePerceivedAsDouble))); double[][] normalizedPeerContributionRatioAsDouble = adjustPeerContributionRatioToTallyNormalizedAveragePerceived(peerContributionRatioAsDouble); log.fine("normalizedPeerContributionRatio as double :\n" + pointsToString(peerContributionRatioAsDouble)); normalizedPeerContributionRatio = doubleToInt(normalizedPeerContributionRatioAsDouble); log.fine("normalizedUnbiasedClaimed as int :\n" + pointsToString(normalizedPeerContributionRatio)); denormalizedAveragePerceived = calculatePerceivedForStudents( claimedSa
Assistant: