chore: cleanup synth.py (#386)

Author: xiaozhenliu-gg5

automl/test/automlTablesDataset.v1beta1.test.js

@@ -84,10 +84,7 @@ describe('Tables DatasetAPI', () => {
       `${cmdDataset} list-table-specs` + ` "${datasetId}" "${filter}"`
     );
     let parsedOut = output.split('\n');
-    const outputTableId = parsedOut[1]
-      .split(':')[1]
-      .trim()
-      .split('/')[7];
+    const outputTableId = parsedOut[1].split(':')[1].trim().split('/')[7];
     assert.match(output, /Table Id:/);
 
     // Get table
@@ -101,10 +98,7 @@ describe('Tables DatasetAPI', () => {
       `${cmdDataset} list-column-specs` + ` "${datasetId}" "${outputTableId}"`
     );
     parsedOut = output.split('\n');
-    const outputColumnId = parsedOut[1]
-      .split(':')[1]
-      .trim()
-      .split('/')[9];
+    const outputColumnId = parsedOut[1].split(':')[1].trim().split('/')[9];
     assert.match(output, /Column Id:/);
 
     // Get column

automl/test/automlTablesModel.v1beta1.test.js

@@ -46,10 +46,7 @@ describe('Tables ModelAPI', () => {
       `${cmdModel} create-model "${datasetId}" "${tableId}" "${columnId}"` +
         ` "${testModelName}" "${trainBudget}"`
     );
-    const operationName = output
-      .split('\n')[0]
-      .split(':')[1]
-      .trim();
+    const operationName = output.split('\n')[0].split(':')[1].trim();
     assert.match(output, /Training started.../);
 
     output = exec(`${cmdModel} get-operation-status "${operationName}"`);
@@ -112,10 +109,7 @@ describe('Tables ModelAPI', () => {
   it.skip('should list and get operation status', async () => {
     // List operations status
     let output = exec(`${cmdModel} list-operations-status `);
-    const operationFullId = output
-      .split('\n')[3]
-      .split(':')[1]
-      .trim();
+    const operationFullId = output.split('\n')[3].split(':')[1].trim();
     assert.match(output, /Operation details:/);
 
     // Get operation status

automl/test/automlTranslation.v1beta1.test.js

@@ -38,10 +38,7 @@ describe.skip('automl sample tests', () => {
 
     // Create dataset
     output = execSync(`${cmdDataset} create-dataset -n "${testDataSetName}"`);
-    const dataSetId = output
-      .split('\n')[1]
-      .split(':')[1]
-      .trim();
+    const dataSetId = output.split('\n')[1].split(':')[1].trim();
     assert.match(
       output,
       new RegExp(`Dataset display name:  ${testDataSetName}`)
@@ -60,10 +57,7 @@ describe.skip('automl sample tests', () => {
 
     // Create dataset
     output = execSync(`${cmdDataset} create-dataset -n "${dummyDataSet}"`);
-    const dataSetId = output
-      .split('\n')[1]
-      .split(':')[1]
-      .trim();
+    const dataSetId = output.split('\n')[1].split(':')[1].trim();
     assert.match(output, new RegExp(`Dataset display name:  ${dummyDataSet}`));
 
     // Import Data
@@ -80,10 +74,7 @@ describe.skip('automl sample tests', () => {
     output = execSync(
       `${cmdModel} create-model -i "${dataSetId}" -m "${testModelName}" -t "2"`
     );
-    const operationName = output
-      .split('\n')[0]
-      .split(':')[1]
-      .trim();
+    const operationName = output.split('\n')[0].split(':')[1].trim();
     assert.match(output, 'Training started...');
 
     // Poll operation status, here confirming that operation is not complete yet

automl/test/automlVideoIntelligenceClassificationModel.v1beta1.test.js

@@ -39,10 +39,7 @@ describe.skip('Video Intelligence ModelAPI', () => {
     let output = exec(
       `${cmdModel} create-model "${datasetId}" "${testModelName}"`
     );
-    const operationName = output
-      .split('\n')[0]
-      .split(':')[1]
-      .trim();
+    const operationName = output.split('\n')[0].split(':')[1].trim();
     assert.match(output, /Training started.../);
 
     output = exec(`${cmdModel} get-operation-status "${operationName}"`);
@@ -86,10 +83,7 @@ describe.skip('Video Intelligence ModelAPI', () => {
   it('should list and get operation status', async () => {
     // List operation status
     let output = exec(`${cmdModel} list-operations-status`);
-    const operationFullId = output
-      .split('\n')[3]
-      .split(':')[1]
-      .trim();
+    const operationFullId = output.split('\n')[3].split(':')[1].trim();
     assert.match(output, /Operation details:/);
 
     // Get operation status

automl/test/automlVision.test.js

@@ -39,10 +39,7 @@ describe('auto ml vision', () => {
 
     // Create dataset
     output = execSync(`${cmdDataset} create-dataset -n "${testDataSetName}"`);
-    const dataSetId = output
-      .split('\n')[1]
-      .split(':')[1]
-      .trim();
+    const dataSetId = output.split('\n')[1].split(':')[1].trim();
     assert.match(output, new RegExp(testDataSetName));
 
     // Delete dataset
@@ -59,10 +56,7 @@ describe('auto ml vision', () => {
 
     // Create dataset
     output = execSync(`${cmdDataset} create-dataset -n "${dummyDataSet}"`);
-    const dataSetId = output
-      .split('\n')[1]
-      .split(':')[1]
-      .trim();
+    const dataSetId = output.split('\n')[1].split(':')[1].trim();
     assert.match(output, new RegExp(dummyDataSet));
 
     // Import Data

automl/test/delete-dataset.beta.test.js

@@ -32,10 +32,7 @@ describe('Automl Translate Delete Dataset Tests', () => {
 
   before('should create a dataset', async () => {
     const projectId = await client.getProjectId();
-    const displayName = `test_${uuid
-      .v4()
-      .replace(/-/g, '_')
-      .substring(0, 26)}`;
+    const displayName = `test_${uuid.v4().replace(/-/g, '_').substring(0, 26)}`;
     const request = {
       parent: client.locationPath(projectId, LOCATION),
       dataset: {

automl/test/delete_dataset.test.js

@@ -32,10 +32,7 @@ describe('Automl Translate Delete Dataset Tests', () => {
 
   before('should create a dataset', async () => {
     const projectId = await client.getProjectId();
-    const displayName = `test_${uuid
-      .v4()
-      .replace(/-/g, '_')
-      .substring(0, 26)}`;
+    const displayName = `test_${uuid.v4().replace(/-/g, '_').substring(0, 26)}`;
     const request = {
       parent: client.locationPath(projectId, LOCATION),
       dataset: {

automl/test/export_dataset.test.js

@@ -33,7 +33,7 @@ describe('Automl Translate Dataset Tests', () => {
   const client = new AutoMlClient();
   const prefix = 'TEST_EXPORT_OUTPUT';
 
-  it('should export a datset', async function() {
+  it('should export a datset', async function () {
     this.retries(4);
     await delay(this.test);
     const projectId = await client.getProjectId();
@@ -58,10 +58,7 @@ describe('Automl Translate Dataset Tests', () => {
       .getFiles(options);
 
     for (const file of files) {
-      await storageClient
-        .bucket(`gs://${bucketName}`)
-        .file(file.name)
-        .delete();
+      await storageClient.bucket(`gs://${bucketName}`).file(file.name).delete();
     }
   });
 });

automl/test/import_dataset.test.js

@@ -69,14 +69,11 @@ describe('Automl Import Dataset Test', () => {
     }
   }
 
-  it('should create a dataset', async function() {
+  it('should create a dataset', async function () {
     this.retries(5);
     await delay(this.test);
     const projectId = await client.getProjectId();
-    const displayName = `test_${uuid
-      .v4()
-      .replace(/-/g, '_')
-      .substring(0, 26)}`;
+    const displayName = `test_${uuid.v4().replace(/-/g, '_').substring(0, 26)}`;
     const request = {
       parent: client.locationPath(projectId, LOCATION),
       dataset: {
@@ -94,7 +91,7 @@ describe('Automl Import Dataset Test', () => {
       [response.name.split('/').length - 1].split('\n')[0];
   });
 
-  it('should import dataset', async function() {
+  it('should import dataset', async function () {
     this.retries(5);
     await delay(this.test);
     const projectId = await client.getProjectId();
@@ -105,7 +102,7 @@ describe('Automl Import Dataset Test', () => {
     assert.match(import_output, /Dataset imported/);
   });
 
-  it('should delete created dataset', async function() {
+  it('should delete created dataset', async function () {
     this.retries(5);
     await delay(this.test);
     const projectId = await client.getProjectId();

automl/test/language_entity_extraction_create_dataset.test.js

@@ -32,10 +32,7 @@ describe('Automl Natural Language Entity Extraction Create Dataset Test', () =>
 
   it('should create a dataset', async () => {
     const projectId = await client.getProjectId();
-    const displayName = `test_${uuid
-      .v4()
-      .replace(/-/g, '_')
-      .substring(0, 26)}`;
+    const displayName = `test_${uuid.v4().replace(/-/g, '_').substring(0, 26)}`;
 
     // create
     const create_output = execSync(

automl/test/language_sentiment_analysis_create_dataset.test.js

@@ -32,10 +32,7 @@ describe('Automl Natural Language Sentiment Analysis Create Dataset Test', () =>
 
   it('should create a dataset', async () => {
     const projectId = await client.getProjectId();
-    const displayName = `test_${uuid
-      .v4()
-      .replace(/-/g, '_')
-      .substring(0, 26)}`;
+    const displayName = `test_${uuid.v4().replace(/-/g, '_').substring(0, 26)}`;
 
     // create
     const create_output = execSync(

automl/test/language_text_classification_create_dataset.test.js

@@ -32,10 +32,7 @@ describe('Automl Natural Language Text Classification Create Dataset Test', () =
 
   it('should create a dataset', async () => {
     const projectId = await client.getProjectId();
-    const displayName = `test_${uuid
-      .v4()
-      .replace(/-/g, '_')
-      .substring(0, 26)}`;
+    const displayName = `test_${uuid.v4().replace(/-/g, '_').substring(0, 26)}`;
 
     // create
     const create_output = execSync(

automl/test/translate_create_dataset.test.js

@@ -32,10 +32,7 @@ describe('Automl Translate Create Dataset Test', () => {
 
   it('should create a dataset', async () => {
     const projectId = await client.getProjectId();
-    const displayName = `test_${uuid
-      .v4()
-      .replace(/-/g, '_')
-      .substring(0, 26)}`;
+    const displayName = `test_${uuid.v4().replace(/-/g, '_').substring(0, 26)}`;
 
     // create
     const create_output = execSync(

automl/test/translate_create_model.test.js

@@ -32,7 +32,7 @@ describe('Automl Translate Create Model Tests', () => {
   const client = new AutoMlClient();
   let operationId;
 
-  it('should create a model', async function() {
+  it('should create a model', async function () {
     this.retries(5);
     await delay(this.test);
 

automl/test/video-classification-create-dataset.beta.test.js

@@ -32,10 +32,7 @@ describe('Automl Video Classification Create Dataset Test', () => {
 
   it('should create a dataset', async () => {
     const projectId = await client.getProjectId();
-    const displayName = `test_${uuid
-      .v4()
-      .replace(/-/g, '_')
-      .substring(0, 26)}`;
+    const displayName = `test_${uuid.v4().replace(/-/g, '_').substring(0, 26)}`;
 
     // create
     const create_output = execSync(

automl/test/video-object-tracking-create-dataset.beta.test.js

@@ -32,10 +32,7 @@ describe('Automl Video Object Tracking Create Dataset Test', () => {
 
   it('should create a dataset', async () => {
     const projectId = await client.getProjectId();
-    const displayName = `test_${uuid
-      .v4()
-      .replace(/-/g, '_')
-      .substring(0, 26)}`;
+    const displayName = `test_${uuid.v4().replace(/-/g, '_').substring(0, 26)}`;
 
     // create
     const create_output = execSync(

automl/test/vision_classification_create_dataset.test.js

@@ -32,10 +32,7 @@ describe('Automl Vision Classification Create Dataset Test', () => {
 
   it('should create a dataset', async () => {
     const projectId = await client.getProjectId();
-    const displayName = `test_${uuid
-      .v4()
-      .replace(/-/g, '_')
-      .substring(0, 26)}`;
+    const displayName = `test_${uuid.v4().replace(/-/g, '_').substring(0, 26)}`;
 
     // create
     const create_output = execSync(

automl/test/vision_object_detection_create_dataset.test.js

@@ -32,10 +32,7 @@ describe('Automl Vision Object Detection Create Dataset Test', () => {
 
   it('should create a dataset', async () => {
     const projectId = await client.getProjectId();
-    const displayName = `test_${uuid
-      .v4()
-      .replace(/-/g, '_')
-      .substring(0, 26)}`;
+    const displayName = `test_${uuid.v4().replace(/-/g, '_').substring(0, 26)}`;
 
     // create
     const create_output = await execSync(

automl/test/vision_object_detection_predict.test.js

@@ -31,7 +31,7 @@ const {delay} = require('./util');
 describe('Automl Vision Object Detection Predict Test', () => {
   const client = new AutoMlClient();
 
-  it('should verify the model is deployed', async function() {
+  it('should verify the model is deployed', async function () {
     this.retries(5);
     await delay(this.test);
     const projectId = await client.getProjectId();

automl/video-intelligence/classification/get-model-evaluations.v1beta1.js

@@ -54,10 +54,7 @@ async function main(
       // Display the model evaluations information.
       console.log(`\nModel evaluation name: ${response.name}`);
       console.log(
-        `Model evaluation Id: ${response.name
-          .split('/')
-          .slice(-1)
-          .pop()}`
+        `Model evaluation Id: ${response.name.split('/').slice(-1).pop()}`
       );
       console.log(
         `Model evaluation annotation spec Id: ${response.annotationSpecId}`

automl/video-intelligence/classification/list-model-evaluations.v1beta1.js

@@ -50,10 +50,7 @@ async function main(
         // Display the model evaluations information.
         console.log(`\nModel evaluation name: ${element[i].name}`);
         console.log(
-          `Model evaluation Id: ${element[i].name
-            .split('/')
-            .slice(-1)
-            .pop()}`
+          `Model evaluation Id: ${element[i].name.split('/').slice(-1).pop()}`
         );
         console.log(
           `Model evaluation annotation spec Id: ${element[i].annotationSpecId}`