chore: new owl bot post processor docker image (#121)

gcr.io/repo-automation-bots/owlbot-nodejs:latest@sha256:f93bb861d6f12574437bb9aee426b71eafd63b419669ff0ed029f4b7e7162e3f

Author: gcf-owl-bot[bot]

ai-platform/snippets/create-training-pipeline-image-classification.js

@@ -38,9 +38,8 @@ function main(
   // Imports the Google Cloud Pipeline Service Client library
   const aiplatform = require('@google-cloud/aiplatform');
 
-  const {
-    definition,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
+  const {definition} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
   const ModelType = definition.AutoMlImageClassificationInputs.ModelType;
 
   // Specifies the location of the api endpoint
@@ -57,14 +56,13 @@ function main(
     const parent = `projects/${project}/locations/${location}`;
 
     // Values should match the input expected by your model.
-    const trainingTaskInputsMessage = new definition.AutoMlImageClassificationInputs(
-      {
+    const trainingTaskInputsMessage =
+      new definition.AutoMlImageClassificationInputs({
         multiLabel: true,
         modelType: ModelType.CLOUD,
         budgetMilliNodeHours: 8000,
         disableEarlyStopping: false,
-      }
-    );
+      });
 
     const trainingTaskInputs = trainingTaskInputsMessage.toValue();
 

ai-platform/snippets/create-training-pipeline-image-object-detection.js

@@ -36,9 +36,8 @@ async function main(
   // const location = 'YOUR_PROJECT_LOCATION';
 
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    definition,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
+  const {definition} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
   const ModelType = definition.AutoMlImageObjectDetectionInputs.ModelType;
 
   // Imports the Google Cloud Pipeline Service Client library
@@ -56,13 +55,12 @@ async function main(
     // Configure the parent resource
     const parent = `projects/${project}/locations/${location}`;
 
-    const trainingTaskInputsObj = new definition.AutoMlImageObjectDetectionInputs(
-      {
+    const trainingTaskInputsObj =
+      new definition.AutoMlImageObjectDetectionInputs({
         disableEarlyStopping: false,
         modelType: ModelType.CLOUD_HIGH_ACCURACY_1,
         budgetMilliNodeHours: 20000,
-      }
-    );
+      });
 
     const trainingTaskInputs = trainingTaskInputsObj.toValue();
     const modelToUpload = {displayName: modelDisplayName};

ai-platform/snippets/create-training-pipeline-tabular-classification.js

@@ -37,9 +37,8 @@ async function main(
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    definition,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
+  const {definition} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
 
   // Imports the Google Cloud Pipeline Service Client library
   const {PipelineServiceClient} = aiplatform.v1;

ai-platform/snippets/create-training-pipeline-tabular-regression.js

@@ -37,9 +37,8 @@ async function main(
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    definition,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
+  const {definition} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
 
   // Imports the Google Cloud Pipeline Service Client library
   const {PipelineServiceClient} = aiplatform.v1;

ai-platform/snippets/create-training-pipeline-text-classification.js

@@ -35,9 +35,8 @@ async function main(
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    definition,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
+  const {definition} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
 
   // Imports the Google Cloud Pipeline Service Client library
   const {PipelineServiceClient} = aiplatform.v1;

ai-platform/snippets/create-training-pipeline-text-entity-extraction.js

@@ -35,9 +35,8 @@ async function main(
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    definition,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
+  const {definition} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
 
   // Imports the Google Cloud Pipeline Service Client library
   const {PipelineServiceClient} = aiplatform.v1;

ai-platform/snippets/create-training-pipeline-text-sentiment-analysis.js

@@ -35,9 +35,8 @@ async function main(
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    definition,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
+  const {definition} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
 
   // Imports the Google Cloud Pipeline Service Client library
   const {PipelineServiceClient} = aiplatform.v1;

ai-platform/snippets/create-training-pipeline-video-classification.js

@@ -35,9 +35,8 @@ async function main(
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    definition,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
+  const {definition} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
 
   // Imports the Google Cloud Pipeline Service Client library
   const {PipelineServiceClient} = aiplatform.v1;

ai-platform/snippets/create-training-pipeline-video-object-tracking.js

@@ -35,9 +35,8 @@ async function main(
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    definition,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
+  const {definition} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.trainingjob;
   const ModelType = definition.AutoMlVideoObjectTrackingInputs.ModelType;
 
   // Imports the Google Cloud Pipeline Service Client library
@@ -55,11 +54,10 @@ async function main(
     // Configure the parent resource
     const parent = `projects/${project}/locations/${location}`;
 
-    const trainingTaskInputsObj = new definition.AutoMlVideoObjectTrackingInputs(
-      {
+    const trainingTaskInputsObj =
+      new definition.AutoMlVideoObjectTrackingInputs({
         modelType: ModelType.CLOUD,
-      }
-    );
+      });
     const trainingTaskInputs = trainingTaskInputsObj.toValue();
 
     const modelToUpload = {displayName: modelDisplayName};

ai-platform/snippets/predict-image-classification.js

@@ -28,11 +28,8 @@ function main(filename, endpointId, project, location = 'us-central1') {
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    instance,
-    params,
-    prediction,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
+  const {instance, params, prediction} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
 
   // Imports the Google Cloud Prediction Service Client library
   const {PredictionServiceClient} = aiplatform.v1;
@@ -77,9 +74,8 @@ function main(filename, endpointId, project, location = 'us-central1') {
     const predictions = response.predictions;
     console.log('\tPredictions :');
     for (const predictionValue of predictions) {
-      const predictionResultObj = prediction.ClassificationPredictionResult.fromValue(
-        predictionValue
-      );
+      const predictionResultObj =
+        prediction.ClassificationPredictionResult.fromValue(predictionValue);
       for (const [i, label] of predictionResultObj.displayNames.entries()) {
         console.log(`\tDisplay name: ${label}`);
         console.log(`\tConfidences: ${predictionResultObj.confidences[i]}`);

ai-platform/snippets/predict-image-object-detection.js

@@ -28,11 +28,8 @@ async function main(filename, endpointId, project, location = 'us-central1') {
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    instance,
-    params,
-    prediction,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
+  const {instance, params, prediction} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
 
   // Imports the Google Cloud Prediction Service Client library
   const {PredictionServiceClient} = aiplatform.v1;
@@ -77,9 +74,10 @@ async function main(filename, endpointId, project, location = 'us-central1') {
     const predictions = response.predictions;
     console.log('Predictions :');
     for (const predictionResultVal of predictions) {
-      const predictionResultObj = prediction.ImageObjectDetectionPredictionResult.fromValue(
-        predictionResultVal
-      );
+      const predictionResultObj =
+        prediction.ImageObjectDetectionPredictionResult.fromValue(
+          predictionResultVal
+        );
       for (const [i, label] of predictionResultObj.displayNames.entries()) {
         console.log(`\tDisplay name: ${label}`);
         console.log(`\tConfidences: ${predictionResultObj.confidences[i]}`);

ai-platform/snippets/predict-tabular-classification.js

@@ -27,9 +27,8 @@ async function main(endpointId, project, location = 'us-central1') {
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    prediction,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
+  const {prediction} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
 
   // Imports the Google Cloud Prediction service client
   const {PredictionServiceClient} = aiplatform.v1;
@@ -72,9 +71,10 @@ async function main(endpointId, project, location = 'us-central1') {
     const predictions = response.predictions;
     console.log('Predictions :');
     for (const predictionResultVal of predictions) {
-      const predictionResultObj = prediction.TabularClassificationPredictionResult.fromValue(
-        predictionResultVal
-      );
+      const predictionResultObj =
+        prediction.TabularClassificationPredictionResult.fromValue(
+          predictionResultVal
+        );
       for (const [i, class_] of predictionResultObj.classes.entries()) {
         console.log(`\tClass: ${class_}`);
         console.log(`\tScore: ${predictionResultObj.scores[i]}\n\n`);

ai-platform/snippets/predict-tabular-regression.js

@@ -27,9 +27,8 @@ async function main(endpointId, project, location = 'us-central1') {
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    prediction,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
+  const {prediction} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
 
   // Imports the Google Cloud Prediction service client
   const {PredictionServiceClient} = aiplatform.v1;
@@ -92,9 +91,10 @@ async function main(endpointId, project, location = 'us-central1') {
     const predictions = response.predictions;
     console.log('\tPredictions :');
     for (const predictionResultVal of predictions) {
-      const predictionResultObj = prediction.TabularRegressionPredictionResult.fromValue(
-        predictionResultVal
-      );
+      const predictionResultObj =
+        prediction.TabularRegressionPredictionResult.fromValue(
+          predictionResultVal
+        );
       console.log(`\tUpper bound: ${predictionResultObj.upper_bound}`);
       console.log(`\tLower bound: ${predictionResultObj.lower_bound}`);
       console.log(`\tLower bound: ${predictionResultObj.value}`);

ai-platform/snippets/predict-text-classification.js

@@ -28,10 +28,8 @@ async function main(text, endpointId, project, location) {
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    instance,
-    prediction,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
+  const {instance, prediction} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
 
   // Imports the Google Cloud Model Service Client library
   const {PredictionServiceClient} = aiplatform.v1;
@@ -48,11 +46,10 @@ async function main(text, endpointId, project, location) {
     // Configure the resources
     const endpoint = `projects/${project}/locations/${location}/endpoints/${endpointId}`;
 
-    const predictionInstance = new instance.TextClassificationPredictionInstance(
-      {
+    const predictionInstance =
+      new instance.TextClassificationPredictionInstance({
         content: text,
-      }
-    );
+      });
     const instanceValue = predictionInstance.toValue();
 
     const instances = [instanceValue];
@@ -68,9 +65,10 @@ async function main(text, endpointId, project, location) {
     console.log('Prediction results:');
 
     for (const predictionResultValue of response.predictions) {
-      const predictionResult = prediction.ClassificationPredictionResult.fromValue(
-        predictionResultValue
-      );
+      const predictionResult =
+        prediction.ClassificationPredictionResult.fromValue(
+          predictionResultValue
+        );
 
       for (const [i, label] of predictionResult.displayNames.entries()) {
         console.log(`\tDisplay name: ${label}`);

ai-platform/snippets/predict-text-entity-extraction.js

@@ -28,10 +28,8 @@ async function main(text, endpointId, project, location = 'us-central1') {
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    instance,
-    prediction,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
+  const {instance, prediction} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
 
   // Imports the Google Cloud Model Service Client library
   const {PredictionServiceClient} = aiplatform.v1;
@@ -67,9 +65,10 @@ async function main(text, endpointId, project, location = 'us-central1') {
 
     console.log('\nPredictions :');
     for (const predictionResultValue of response.predictions) {
-      const predictionResult = prediction.TextExtractionPredictionResult.fromValue(
-        predictionResultValue
-      );
+      const predictionResult =
+        prediction.TextExtractionPredictionResult.fromValue(
+          predictionResultValue
+        );
 
       for (const [i, label] of predictionResult.displayNames.entries()) {
         const textStartOffset = parseInt(

ai-platform/snippets/predict-text-sentiment-analysis.js

@@ -28,10 +28,8 @@ async function main(text, endpointId, project, location = 'us-central1') {
   // const project = 'YOUR_PROJECT_ID';
   // const location = 'YOUR_PROJECT_LOCATION';
   const aiplatform = require('@google-cloud/aiplatform');
-  const {
-    instance,
-    prediction,
-  } = aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
+  const {instance, prediction} =
+    aiplatform.protos.google.cloud.aiplatform.v1.schema.predict;
 
   // Imports the Google Cloud Model Service Client library
   const {PredictionServiceClient} = aiplatform.v1;
@@ -67,9 +65,10 @@ async function main(text, endpointId, project, location = 'us-central1') {
 
     console.log('\nPredictions :');
     for (const predictionResultValue of response.predictions) {
-      const predictionResult = prediction.TextSentimentPredictionResult.fromValue(
-        predictionResultValue
-      );
+      const predictionResult =
+        prediction.TextSentimentPredictionResult.fromValue(
+          predictionResultValue
+        );
       console.log(`\tSentiment measure: ${predictionResult.sentiment}`);
     }
   }