Remove all whitespace at end of line (#1162)

src/nni_manager/training_service/kubernetes/kubernetesTrainingService.ts

@@ -63,13 +63,13 @@ abstract class KubernetesTrainingService {
     protected kubernetesClusterConfig?: KubernetesClusterConfig;
     protected versionCheck: boolean = true;
     protected logCollection: string;
-    
+
     constructor() {
         this.log = getLogger();
         this.metricsEmitter = new EventEmitter();
         this.trialJobsMap = new Map<string, KubernetesTrialJobDetail>();
         this.trialLocalNFSTempFolder = path.join(getExperimentRootDir(), 'trials-nfs-tmp');
-        this.experimentId = getExperimentId();      
+        this.experimentId = getExperimentId();
         this.nextTrialSequenceId = -1;
         this.CONTAINER_MOUNT_PATH = '/tmp/mount';
         this.genericK8sClient = new GeneralK8sClient();
@@ -86,8 +86,8 @@ abstract class KubernetesTrainingService {
 
     public async listTrialJobs(): Promise<TrialJobDetail[]> {
         const jobs: TrialJobDetail[] = [];
-        
-        for (const [key, value] of this.trialJobsMap) { 
+
+        for (const [key, value] of this.trialJobsMap) {
             if (value.form.jobType === 'TRIAL') {
                 jobs.push(await this.getTrialJob(key));
             }
@@ -102,7 +102,7 @@ abstract class KubernetesTrainingService {
 
         if (!kubernetesTrialJob) {
             return Promise.reject(`trial job ${trialJobId} not found`)
-        }        
+        }
 
         return Promise.resolve(kubernetesTrialJob);
     }
@@ -114,7 +114,7 @@ abstract class KubernetesTrainingService {
     public removeTrialJobMetricListener(listener: (metric: TrialJobMetric) => void) {
         this.metricsEmitter.off('metric', listener);
     }
- 
+
     public get isMultiPhaseJobSupported(): boolean {
         return false;
     }
@@ -153,7 +153,7 @@ abstract class KubernetesTrainingService {
                 {
                     apiVersion: 'v1',
                     kind: 'Secret',
-                    metadata: { 
+                    metadata: {
                         name: this.azureStorageSecretName,
                         namespace: 'default',
                         labels: {
@@ -174,15 +174,15 @@ abstract class KubernetesTrainingService {
         }
         return Promise.resolve();
     }
-    
+
         /**
      * Genereate run script for different roles(like worker or ps)
      * @param trialJobId trial job id
      * @param trialWorkingFolder working folder
-     * @param command 
+     * @param command
      * @param trialSequenceId sequence id
      */
-    protected async generateRunScript(platform: string, trialJobId: string, trialWorkingFolder: string, 
+    protected async generateRunScript(platform: string, trialJobId: string, trialWorkingFolder: string,
                 command: string, trialSequenceId: string, roleName: string, gpuNum: number): Promise<string> {
         let nvidia_script: string = '';
         // Nvidia devcie plugin for K8S has a known issue that requesting zero GPUs allocates all GPUs
@@ -229,7 +229,7 @@ abstract class KubernetesTrainingService {
             const errorMessage: string = `CancelTrialJob: trial job id ${trialJobId} not found`;
             this.log.error(errorMessage);
             return Promise.reject(errorMessage);
-        }        
+        }
         if(!this.kubernetesCRDClient) {
             const errorMessage: string = `CancelTrialJob: trial job id ${trialJobId} failed because operatorClient is undefined`;
             this.log.error(errorMessage);
@@ -268,8 +268,8 @@ abstract class KubernetesTrainingService {
                 kubernetesTrialJob.status = 'SYS_CANCELED';
             }
         }
-        
-        // Delete all kubernetes jobs whose expId label is current experiment id 
+
+        // Delete all kubernetes jobs whose expId label is current experiment id
         try {
             if(this.kubernetesCRDClient) {
                 await this.kubernetesCRDClient.deleteKubernetesJob(new Map(
@@ -290,7 +290,7 @@ abstract class KubernetesTrainingService {
             this.log.error(`Unmount ${this.trialLocalNFSTempFolder} failed, error is ${error}`);
         }
 
-        // Stop kubernetes rest server 
+        // Stop kubernetes rest server
         if(!this.kubernetesJobRestServer) {
             throw new Error('kubernetesJobRestServer not initialized!');
         }

src/nni_manager/training_service/local/gpuScheduler.ts

@@ -59,8 +59,8 @@ class GPUScheduler {
     }
 
     /**
-     * Generate gpu metric collector shell script in local machine, 
-     * used to run in remote machine, and will be deleted after uploaded from local. 
+     * Generate gpu metric collector shell script in local machine,
+     * used to run in remote machine, and will be deleted after uploaded from local.
      */
     private async runGpuMetricsCollectorScript(): Promise<void> {
         await execMkdir(this.gpuMetricCollectorScriptFolder);

src/nni_manager/training_service/local/localTrainingService.ts

@@ -532,7 +532,7 @@ class LocalTrainingService implements TrainingService {
         }
         const scripts: string[] = this.getScript(this.localTrailConfig, trialJobDetail.workingDirectory);
         scripts.forEach(script => {
-            runScriptLines.push(script); 
+            runScriptLines.push(script);
         });
         await execMkdir(trialJobDetail.workingDirectory);
         await execMkdir(path.join(trialJobDetail.workingDirectory, '.nni'));

src/nni_manager/training_service/pai/hdfsClientUtility.ts

@@ -57,7 +57,7 @@ export namespace HDFSClientUtility {
 
     /**
      * Copy a local file to hdfs directory
-     * 
+     *
      * @param localFilePath local file path(source)
      * @param hdfsFilePath hdfs file path(target)
      * @param hdfsClient hdfs client
@@ -87,7 +87,7 @@ export namespace HDFSClientUtility {
 
     /**
      * Recursively copy local directory to hdfs directory
-     * 
+     *
      * @param localDirectory local directory
      * @param hdfsDirectory HDFS directory
      * @param hdfsClient   HDFS client
@@ -118,7 +118,7 @@ export namespace HDFSClientUtility {
 
     /**
      * Read content from HDFS file
-     * 
+     *
      * @param hdfsPath HDFS file path
      * @param hdfsClient HDFS client
      */
@@ -141,7 +141,7 @@ export namespace HDFSClientUtility {
             // Concat the data chunk to buffer
             buffer = Buffer.concat([buffer, chunk]);
         });
-        
+
         remoteFileStream.on('finish', function onFinish () {
             // Upload is done, resolve
             deferred.resolve(buffer);
@@ -152,7 +152,7 @@ export namespace HDFSClientUtility {
 
     /**
      * Check if an HDFS path already exists
-     * 
+     *
      * @param hdfsPath target path need to check in HDFS
      * @param hdfsClient HDFS client
      */
@@ -164,7 +164,7 @@ export namespace HDFSClientUtility {
 
         let timeoutId : NodeJS.Timer
         const delayTimeout : Promise<boolean> = new Promise<boolean>((resolve : Function, reject : Function) : void => {
-            // Set timeout and reject the promise once reach timeout (5 seconds)        
+            // Set timeout and reject the promise once reach timeout (5 seconds)
             timeoutId = setTimeout(() => deferred.reject(`Check HDFS path ${hdfsPath} exists timeout`), 5000);
         });
 
@@ -173,9 +173,9 @@ export namespace HDFSClientUtility {
 
     /**
      * Mkdir in HDFS, use default permission 755
-     * 
+     *
      * @param hdfsPath the path in HDFS. It could be either file or directory
-     * @param hdfsClient 
+     * @param hdfsClient
      */
     export function mkdir(hdfsPath : string, hdfsClient : any) : Promise<boolean> {
         const deferred : Deferred<boolean> = new Deferred<boolean>();
@@ -193,9 +193,9 @@ export namespace HDFSClientUtility {
 
     /**
      * Read directory contents
-     * 
+     *
      * @param hdfsPath the path in HDFS. It could be either file or directory
-     * @param hdfsClient 
+     * @param hdfsClient
      */
     export async function readdir(hdfsPath : string, hdfsClient : any) : Promise<string[]> {
         const deferred : Deferred<string[]> = new Deferred<string[]>();
@@ -218,7 +218,7 @@ export namespace HDFSClientUtility {
     /**
      * Delete HDFS path
      * @param hdfsPath the path in HDFS. It could be either file or directory
-     * @param hdfsClient 
+     * @param hdfsClient
      * @param recursive Mark if need to delete recursively
      */
     export function deletePath(hdfsPath : string, hdfsClient : any, recursive : boolean = true) : Promise<boolean> {

src/nni_manager/training_service/pai/paiConfig.ts

@@ -36,7 +36,7 @@ export class PAITaskRole {
     public readonly command: string;
     //Shared memory for one task in the task role
     public readonly shmMB?: number;
-    
+
     /**
      * Constructor
      * @param name Name for the task role
@@ -52,7 +52,7 @@ export class PAITaskRole {
         this.cpuNumber = cpuNumber;
         this.memoryMB = memoryMB;
         this.gpuNumber = gpuNumber;
-        this.command = command;    
+        this.command = command;
         this.shmMB = shmMB;
     }
 }
@@ -83,7 +83,7 @@ export class PAIJobConfig{
      * @param outputDir Output directory on HDFS
      * @param taskRoles List of taskRole, one task role at least
      */
-    constructor(jobName: string, image : string, dataDir : string, outputDir : string, codeDir : string, 
+    constructor(jobName: string, image : string, dataDir : string, outputDir : string, codeDir : string,
             taskRoles : PAITaskRole[], virtualCluster: string) {
         this.jobName = jobName;
         this.image = image;
@@ -117,7 +117,7 @@ export class NNIPAITrialConfig extends TrialConfig{
     public readonly cpuNum: number;
     public readonly memoryMB: number;
     public readonly image: string;
-    public readonly dataDir: string; 
+    public readonly dataDir: string;
     public outputDir: string;
 
     //The virtual cluster job runs on. If omitted, the job will run on default virtual cluster
@@ -125,7 +125,7 @@ export class NNIPAITrialConfig extends TrialConfig{
     //Shared memory for one task in the task role
     public shmMB?: number;
 
-    constructor(command : string, codeDir : string, gpuNum : number, cpuNum: number, memoryMB: number, 
+    constructor(command : string, codeDir : string, gpuNum : number, cpuNum: number, memoryMB: number,
             image: string, dataDir: string, outputDir: string, virtualCluster?: string, shmMB?: number) {
         super(command, codeDir, gpuNum);
         this.cpuNum = cpuNum;

src/nni_manager/training_service/pai/paiData.ts

@@ -36,7 +36,7 @@ export class PAITrialJobDetail implements TrialJobDetail {
     public hdfsLogPath: string;
     public isEarlyStopped?: boolean;
 
-    constructor(id: string, status: TrialJobStatus, paiJobName : string, 
+    constructor(id: string, status: TrialJobStatus, paiJobName : string,
             submitTime: number, workingDirectory: string, form: JobApplicationForm, sequenceId: number, hdfsLogPath: string) {
         this.id = id;
         this.status = status;
@@ -50,7 +50,7 @@ export class PAITrialJobDetail implements TrialJobDetail {
     }
 }
 
-export const PAI_INSTALL_NNI_SHELL_FORMAT: string = 
+export const PAI_INSTALL_NNI_SHELL_FORMAT: string =
 `#!/bin/bash
 if python3 -c 'import nni' > /dev/null 2>&1; then
   # nni module is already installed, skip
@@ -62,12 +62,12 @@ fi`;
 
 export const PAI_TRIAL_COMMAND_FORMAT: string =
 `export NNI_PLATFORM=pai NNI_SYS_DIR={0} NNI_OUTPUT_DIR={1} NNI_TRIAL_JOB_ID={2} NNI_EXP_ID={3} NNI_TRIAL_SEQ_ID={4}
-&& cd $NNI_SYS_DIR && sh install_nni.sh 
-&& python3 -m nni_trial_tool.trial_keeper --trial_command '{5}' --nnimanager_ip '{6}' --nnimanager_port '{7}' 
+&& cd $NNI_SYS_DIR && sh install_nni.sh
+&& python3 -m nni_trial_tool.trial_keeper --trial_command '{5}' --nnimanager_ip '{6}' --nnimanager_port '{7}'
 --pai_hdfs_output_dir '{8}' --pai_hdfs_host '{9}' --pai_user_name {10} --nni_hdfs_exp_dir '{11}' --webhdfs_path '/webhdfs/api/v1' --nni_manager_version '{12}' --log_collection '{13}'`;
 
-export const PAI_OUTPUT_DIR_FORMAT: string = 
+export const PAI_OUTPUT_DIR_FORMAT: string =
 `hdfs://{0}:9000/`;
 
-export const PAI_LOG_PATH_FORMAT: string = 
+export const PAI_LOG_PATH_FORMAT: string =
 `http://{0}/webhdfs/explorer.html#{1}`

src/nni_manager/training_service/pai/paiJobInfoCollector.ts

@@ -44,7 +44,7 @@ export class PAIJobInfoCollector {
 
     public async retrieveTrialStatus(paiToken? : string, paiClusterConfig?: PAIClusterConfig) : Promise<void> {
         if (!paiClusterConfig || !paiToken) {
-            return Promise.resolve();            
+            return Promise.resolve();
         }
 
         const updatePaiTrialJobs : Promise<void>[] = [];
@@ -76,7 +76,7 @@ export class PAIJobInfoCollector {
                 "Authorization": 'Bearer ' + paiToken
             }
         };
-        //TODO : pass in request timeout param? 
+        //TODO : pass in request timeout param?
         request(getJobInfoRequest, (error: Error, response: request.Response, body: any) => {
             if (error || response.statusCode >= 500) {
                 this.log.error(`PAI Training service: get job info for trial ${paiTrialJob.id} from PAI Cluster failed!`);
@@ -87,7 +87,7 @@ export class PAIJobInfoCollector {
             } else {
                 if(response.body.jobStatus && response.body.jobStatus.state) {
                     switch(response.body.jobStatus.state) {
-                        case 'WAITING': 
+                        case 'WAITING':
                             paiTrialJob.status = 'WAITING';
                             break;
                         case 'RUNNING':
@@ -96,7 +96,7 @@ export class PAIJobInfoCollector {
                                 paiTrialJob.startTime = response.body.jobStatus.appLaunchedTime;
                             }
                             if(!paiTrialJob.url) {
-                                paiTrialJob.url = response.body.jobStatus.appTrackingUrl;    
+                                paiTrialJob.url = response.body.jobStatus.appTrackingUrl;
                             }
                             break;
                         case 'SUCCEEDED':
@@ -104,7 +104,7 @@ export class PAIJobInfoCollector {
                             break;
                         case 'STOPPED':
                             if (paiTrialJob.isEarlyStopped !== undefined) {
-                                paiTrialJob.status = paiTrialJob.isEarlyStopped === true ? 
+                                paiTrialJob.status = paiTrialJob.isEarlyStopped === true ?
                                         'EARLY_STOPPED' : 'USER_CANCELED';
                             } else {
                                 // if paiTrialJob's isEarlyStopped is undefined, that mean we didn't stop it via cancellation, mark it as SYS_CANCELLED by PAI
@@ -112,7 +112,7 @@ export class PAIJobInfoCollector {
                             }
                             break;
                         case 'FAILED':
-                            paiTrialJob.status = 'FAILED';                            
+                            paiTrialJob.status = 'FAILED';
                             break;
                         default:
                             paiTrialJob.status = 'UNKNOWN';

src/nni_manager/training_service/pai/paiJobRestServer.ts

@@ -26,7 +26,7 @@ import { ClusterJobRestServer } from '../common/clusterJobRestServer'
 
 /**
  * PAI Training service Rest server, provides rest API to support pai job metrics update
- * 
+ *
  */
 @component.Singleton
 export class PAIJobRestServer extends ClusterJobRestServer{

src/nni_manager/training_service/pai/paiTrialConfig.ts

@@ -25,7 +25,7 @@ export class PAITrialConfig extends TrialConfig{
     public readonly cpuNum: number;
     public readonly memoryMB: number;
     public readonly image: string;
-    public readonly dataDir: string; 
+    public readonly dataDir: string;
     public readonly outputDir: string;
 
     constructor(command : string, codeDir : string, gpuNum : number, cpuNum: number, memoryMB: number, image: string, dataDir: string, outputDir: string) {

src/nni_manager/training_service/remote_machine/remoteMachineData.ts

@@ -112,7 +112,7 @@ export class SSHClient {
         this.sshClient = sshClient;
         this.usedConnectionNumber = usedConnectionNumber;
     }
-    
+
     public get getSSHClientInstance(): Client {
         return this.sshClient;
     }
@@ -151,7 +151,7 @@ export class SSHClientManager {
             port: this.rmMeta.port,
             username: this.rmMeta.username };
         if (this.rmMeta.passwd) {
-            connectConfig.password = this.rmMeta.passwd;                
+            connectConfig.password = this.rmMeta.passwd;
         } else if(this.rmMeta.sshKeyPath) {
             if(!fs.existsSync(this.rmMeta.sshKeyPath)) {
                 //SSh key path is not a valid file, reject
@@ -171,10 +171,10 @@ export class SSHClientManager {
             // SSH connection error, reject with error message
             deferred.reject(new Error(err.message));
         }).connect(connectConfig);
-      
+
         return deferred.promise;
     }
-    
+
     /**
      * find a available ssh client in ssh array, if no ssh client available, return undefined
      */
@@ -191,7 +191,7 @@ export class SSHClientManager {
         //init a new ssh client if could not get an available one
         return await this.initNewSSHClient();
     }
-    
+
     /**
      * add a new ssh client to sshClientArray
      * @param sshClient
@@ -199,14 +199,14 @@ export class SSHClientManager {
     public addNewSSHClient(client: Client) {
         this.sshClientArray.push(new SSHClient(client, 1));
     }
-    
+
     /**
      * first ssh clilent instance is used for gpu collector and host job
      */
     public getFirstSSHClient() {
         return this.sshClientArray[0].getSSHClientInstance;
     }
-    
+
     /**
      * close all of ssh client
      */
@@ -215,7 +215,7 @@ export class SSHClientManager {
             sshClient.getSSHClientInstance.end();
         }
     }
-    
+
     /**
      * retrieve resource, minus a number for given ssh client
      * @param client
@@ -231,7 +231,7 @@ export class SSHClientManager {
             }
         }
     }
-} 
+}
 
 
 export type RemoteMachineScheduleResult = { scheduleInfo : RemoteMachineScheduleInfo | undefined; resultType : ScheduleResultType};
@@ -242,7 +242,7 @@ export enum ScheduleResultType {
     /* Schedule succeeded*/
     SUCCEED,
 
-    /* Temporarily, no enough available GPU right now */    
+    /* Temporarily, no enough available GPU right now */
     TMP_NO_AVAILABLE_GPU,
 
     /* Cannot match requirement even if all GPU are a*/

src/nni_manager/training_service/remote_machine/remoteMachineJobRestServer.ts

@@ -26,7 +26,7 @@ import { ClusterJobRestServer } from '../common/clusterJobRestServer'
 
 /**
  * RemoteMachine Training service Rest server, provides rest RemoteMachine to support remotemachine job metrics update
- * 
+ *
  */
 @component.Singleton
 export class RemoteMachineJobRestServer extends ClusterJobRestServer{

src/nni_manager/training_service/remote_machine/remoteMachineTrainingService.ts

@@ -125,10 +125,10 @@ class RemoteMachineTrainingService implements TrainingService {
         }
         this.log.info('Remote machine training service exit.');
     }
-    
+
     /**
      * give trial a ssh connection
-     * @param trial 
+     * @param trial
      */
     public async allocateSSHClientForTrial(trial: RemoteMachineTrialJobDetail): Promise<void> {
         const deferred: Deferred<void> = new Deferred<void>();
@@ -144,10 +144,10 @@ class RemoteMachineTrainingService implements TrainingService {
         deferred.resolve();
         return deferred.promise;
     }
-    
+
     /**
      * If a trial is finished, release the connection resource
-     * @param trial 
+     * @param trial
      */
     public releaseTrialSSHClient(trial: RemoteMachineTrialJobDetail): void {
         if(!trial.rmMeta) {
@@ -167,7 +167,7 @@ class RemoteMachineTrainingService implements TrainingService {
         const jobs: TrialJobDetail[] = [];
         const deferred: Deferred<TrialJobDetail[]> = new Deferred<TrialJobDetail[]>();
 
-        for (const [key, value] of this.trialJobsMap) { 
+        for (const [key, value] of this.trialJobsMap) {
             if (value.form.jobType === 'TRIAL') {
                 jobs.push(await this.getTrialJob(key));
             }
@@ -275,12 +275,12 @@ class RemoteMachineTrainingService implements TrainingService {
 
         return trialJobDetail;
     }
-    
+
     /**
      * remove gpu reversion when job is not running
      */
     private updateGpuReservation() {
-        for (const [key, value] of this.trialJobsMap) { 
+        for (const [key, value] of this.trialJobsMap) {
             if(!['WAITING', 'RUNNING'].includes(value.status)) {
                 this.gpuScheduler.removeGpuReservation(key, this.trialJobsMap);
             }
@@ -371,7 +371,7 @@ class RemoteMachineTrainingService implements TrainingService {
                     await validateCodeDir(remoteMachineTrailConfig.codeDir);
                 } catch(error) {
                     this.log.error(error);
-                    return Promise.reject(new Error(error));                    
+                    return Promise.reject(new Error(error));
                 }
 
                 this.trialConfig = remoteMachineTrailConfig;
@@ -400,16 +400,16 @@ class RemoteMachineTrainingService implements TrainingService {
 
         return deferred.promise;
     }
-    
+
     /**
-     * cleanup() has a time out of 10s to clean remote connections 
+     * cleanup() has a time out of 10s to clean remote connections
      */
     public async cleanUp(): Promise<void> {
         this.log.info('Stopping remote machine training service...');
         this.stopping = true;
         await Promise.race([delay(10000), this.cleanupConnections()]);
     }
-    
+
     /**
      * stop gpu_metric_collector process in remote machine and remove unused scripts
      */
@@ -430,8 +430,8 @@ class RemoteMachineTrainingService implements TrainingService {
         }
 
         return Promise.resolve();
-    } 
-    
+    }
+
     /**
      * Generate gpu metric collector directory to store temp gpu metric collector script files
      */
@@ -441,8 +441,8 @@ class RemoteMachineTrainingService implements TrainingService {
     }
 
     /**
-     * Generate gpu metric collector shell script in local machine, 
-     * used to run in remote machine, and will be deleted after uploaded from local. 
+     * Generate gpu metric collector shell script in local machine,
+     * used to run in remote machine, and will be deleted after uploaded from local.
      */
     private async generateGpuMetricsCollectorScript(userName: string): Promise<void> {
         let gpuMetricCollectorScriptFolder : string = this.getLocalGpuMetricCollectorDir();
@@ -451,9 +451,9 @@ class RemoteMachineTrainingService implements TrainingService {
         let gpuMetricsCollectorScriptPath: string = path.join(gpuMetricCollectorScriptFolder, userName, 'gpu_metrics_collector.sh');
         const remoteGPUScriptsDir: string = this.getRemoteScriptsPath(userName); // This directory is used to store gpu_metrics and pid created by script
         const gpuMetricsCollectorScriptContent: string = String.Format(
-            GPU_INFO_COLLECTOR_FORMAT_LINUX, 
-            remoteGPUScriptsDir, 
-            unixPathJoin(remoteGPUScriptsDir, 'pid'), 
+            GPU_INFO_COLLECTOR_FORMAT_LINUX,
+            remoteGPUScriptsDir,
+            unixPathJoin(remoteGPUScriptsDir, 'pid'),
         );
         await fs.promises.writeFile(gpuMetricsCollectorScriptPath, gpuMetricsCollectorScriptContent, { encoding: 'utf8' });
     }
@@ -589,7 +589,7 @@ class RemoteMachineTrainingService implements TrainingService {
         } else {
             command = `CUDA_VISIBLE_DEVICES=" " ${this.trialConfig.command}`;
         }
-        
+
         const nniManagerIp = this.nniManagerIpConfig?this.nniManagerIpConfig.nniManagerIp:getIPV4Address();
         if(!this.remoteRestServerPort) {
             const restServer: RemoteMachineJobRestServer = component.get(RemoteMachineJobRestServer);

src/nni_manager/training_service/test/hdfsClientUtility.test.ts

@@ -37,7 +37,7 @@ describe('WebHDFS', function () {
     {
         "user": "user1",
         "port": 50070,
-        "host": "10.0.0.0"        
+        "host": "10.0.0.0"
     }
     */
     let skip: boolean = false;
@@ -45,7 +45,7 @@ describe('WebHDFS', function () {
     let hdfsClient: any;
     try {
         testHDFSInfo = JSON.parse(fs.readFileSync('../../.vscode/hdfsInfo.json', 'utf8'));
-        console.log(testHDFSInfo);        
+        console.log(testHDFSInfo);
         hdfsClient = WebHDFS.createClient({
             user: testHDFSInfo.user,
             port: testHDFSInfo.port,
@@ -120,7 +120,7 @@ describe('WebHDFS', function () {
         chai.expect(actualFileData).to.be.equals(testFileData);
 
         const testHDFSDirPath : string = path.join('/nni_unittest_' + uniqueString(6) +  '_dir');
-        
+
         await HDFSClientUtility.copyDirectoryToHdfs(tmpLocalDirectoryPath, testHDFSDirPath, hdfsClient);
 
         const files : any[] = await HDFSClientUtility.readdir(testHDFSDirPath, hdfsClient);
@@ -133,7 +133,7 @@ describe('WebHDFS', function () {
 
         // Cleanup
         rmdir(tmpLocalDirectoryPath);
-        
+
         let deleteRestult : boolean = await HDFSClientUtility.deletePath(testHDFSFilePath, hdfsClient);
         chai.expect(deleteRestult).to.be.equals(true);
 

src/nni_manager/training_service/test/kubeflowTrainingService.test.ts

@@ -63,7 +63,7 @@ describe('Unit Test for KubeflowTrainingService', () => {
         if (skip) {
             return;
         }
-        kubeflowTrainingService = component.get(KubeflowTrainingService);        
+        kubeflowTrainingService = component.get(KubeflowTrainingService);
     });
 
     afterEach(() => {
@@ -78,6 +78,6 @@ describe('Unit Test for KubeflowTrainingService', () => {
             return;
         }
         await kubeflowTrainingService.setClusterMetadata(TrialConfigMetadataKey.KUBEFLOW_CLUSTER_CONFIG, testKubeflowConfig),
-        await kubeflowTrainingService.setClusterMetadata(TrialConfigMetadataKey.TRIAL_CONFIG, testKubeflowTrialConfig);                
+        await kubeflowTrainingService.setClusterMetadata(TrialConfigMetadataKey.TRIAL_CONFIG, testKubeflowTrialConfig);
     });
 });
\ No newline at end of file

src/nni_manager/training_service/test/localTrainingService.test.ts

@@ -63,7 +63,7 @@ describe('Unit Test for LocalTrainingService', () => {
         //trial jobs should be empty, since there are no submitted jobs
         chai.expect(await localTrainingService.listTrialJobs()).to.be.empty;
     });
-    
+
     it('setClusterMetadata and getClusterMetadata', async () => {
         await localTrainingService.setClusterMetadata(TrialConfigMetadataKey.TRIAL_CONFIG, trialConfig);
         localTrainingService.getClusterMetadata(TrialConfigMetadataKey.TRIAL_CONFIG).then((data)=>{
@@ -87,7 +87,7 @@ describe('Unit Test for LocalTrainingService', () => {
         await localTrainingService.cancelTrialJob(jobDetail.id);
         chai.expect(jobDetail.status).to.be.equals('USER_CANCELED');
     }).timeout(20000);
-    
+
     it('Read metrics, Add listener, and remove listener', async () => {
         // set meta data
         const trialConfig: string = `{\"command\":\"python3 mockedTrial.py\", \"codeDir\":\"${localCodeDir}\",\"gpuNum\":0}`

src/nni_manager/training_service/test/paiTrainingService.test.ts

@@ -89,7 +89,7 @@ describe('Unit Test for PAITrainingService', () => {
             chai.expect(trialDetail.status).to.be.equals('WAITING');
         } catch(error) {
             console.log('Submit job failed:' + error);
-            chai.assert(error)            
+            chai.assert(error)
         }
     });
 });
\ No newline at end of file

src/nni_manager/types/child-process-promise/index.d.ts

@@ -7,5 +7,5 @@ declare module 'child-process-promise' {
             stderr: string,
             message: string
         }
-    }    
+    }
 }
\ No newline at end of file

src/sdk/pynni/nni/__main__.py

@@ -154,7 +154,7 @@ def main():
         assessor = None
         if args.tuner_class_name in ModuleName:
             tuner = create_builtin_class_instance(
-                args.tuner_class_name, 
+                args.tuner_class_name,
                 args.tuner_args)
         else:
             tuner = create_customized_class_instance(

src/sdk/pynni/nni/bohb_advisor/bohb_advisor.py

@@ -81,7 +81,7 @@ def create_bracket_parameter_id(brackets_id, brackets_curr_decay, increased_id=-
 
 class Bracket():
     """
-    A bracket in BOHB, all the information of a bracket is managed by 
+    A bracket in BOHB, all the information of a bracket is managed by
     an instance of this class.
 
     Parameters
@@ -251,7 +251,7 @@ class BOHB(MsgDispatcherBase):
     BOHB performs robust and efficient hyperparameter optimization
     at scale by combining the speed of Hyperband searches with the
     guidance and guarantees of convergence of Bayesian Optimization.
-    Instead of sampling new configurations at random, BOHB uses 
+    Instead of sampling new configurations at random, BOHB uses
     kernel density estimators to select promising candidates.
 
     Parameters
@@ -335,7 +335,7 @@ class BOHB(MsgDispatcherBase):
         pass
 
     def handle_initialize(self, data):
-        """Initialize Tuner, including creating Bayesian optimization-based parametric models 
+        """Initialize Tuner, including creating Bayesian optimization-based parametric models
         and search space formations
 
         Parameters
@@ -403,7 +403,7 @@ class BOHB(MsgDispatcherBase):
 
         If this function is called, Command will be sent by BOHB:
         a. If there is a parameter need to run, will return "NewTrialJob" with a dict:
-        { 
+        {
             'parameter_id': id of new hyperparameter
             'parameter_source': 'algorithm'
             'parameters': value of new hyperparameter
@@ -458,30 +458,30 @@ class BOHB(MsgDispatcherBase):
                     var, lower=search_space[var]["_value"][0], upper=search_space[var]["_value"][1]))
             elif _type == 'quniform':
                 cs.add_hyperparameter(CSH.UniformFloatHyperparameter(
-                    var, lower=search_space[var]["_value"][0], upper=search_space[var]["_value"][1], 
+                    var, lower=search_space[var]["_value"][0], upper=search_space[var]["_value"][1],
                     q=search_space[var]["_value"][2]))
             elif _type == 'loguniform':
                 cs.add_hyperparameter(CSH.UniformFloatHyperparameter(
-                    var, lower=search_space[var]["_value"][0], upper=search_space[var]["_value"][1], 
+                    var, lower=search_space[var]["_value"][0], upper=search_space[var]["_value"][1],
                     log=True))
             elif _type == 'qloguniform':
                 cs.add_hyperparameter(CSH.UniformFloatHyperparameter(
-                    var, lower=search_space[var]["_value"][0], upper=search_space[var]["_value"][1], 
+                    var, lower=search_space[var]["_value"][0], upper=search_space[var]["_value"][1],
                     q=search_space[var]["_value"][2], log=True))
             elif _type == 'normal':
                 cs.add_hyperparameter(CSH.NormalFloatHyperparameter(
                     var, mu=search_space[var]["_value"][1], sigma=search_space[var]["_value"][2]))
             elif _type == 'qnormal':
                 cs.add_hyperparameter(CSH.NormalFloatHyperparameter(
-                    var, mu=search_space[var]["_value"][1], sigma=search_space[var]["_value"][2], 
+                    var, mu=search_space[var]["_value"][1], sigma=search_space[var]["_value"][2],
                     q=search_space[var]["_value"][3]))
             elif _type == 'lognormal':
                 cs.add_hyperparameter(CSH.NormalFloatHyperparameter(
-                    var, mu=search_space[var]["_value"][1], sigma=search_space[var]["_value"][2], 
+                    var, mu=search_space[var]["_value"][1], sigma=search_space[var]["_value"][2],
                     log=True))
             elif _type == 'qlognormal':
                 cs.add_hyperparameter(CSH.NormalFloatHyperparameter(
-                    var, mu=search_space[var]["_value"][1], sigma=search_space[var]["_value"][2], 
+                    var, mu=search_space[var]["_value"][1], sigma=search_space[var]["_value"][2],
                     q=search_space[var]["_value"][3], log=True))
             else:
                 raise ValueError(
@@ -553,7 +553,7 @@ class BOHB(MsgDispatcherBase):
             self.brackets[s].set_config_perf(
                 int(i), data['parameter_id'], sys.maxsize, value)
             self.completed_hyper_configs.append(data)
-       
+
             _parameters = self.parameters[data['parameter_id']]
             _parameters.pop(_KEY)
             # update BO with loss, max_s budget, hyperparameters

src/sdk/pynni/nni/bohb_advisor/config_generator.py

@@ -117,7 +117,7 @@ class CG_BOHB(object):
         seperated by budget. This function sample a configuration from
         largest budget. Firstly we sample "num_samples" configurations,
         then prefer one with the largest l(x)/g(x).
-        
+
         Parameters:
         -----------
         info_dict: dict