samples: update shared config (#2443)

* update shared config

* Update to 1.0.13

* lint

* Fix linting

* lint

* fix imports

Co-authored-by: Les Vogel <[email protected]>

Author: 2 people

automl/snippets/src/main/java/com/example/automl/BatchPredict.java

@@ -27,7 +27,6 @@
 import com.google.cloud.automl.v1.ModelName;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.cloud.automl.v1.PredictionServiceClient;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 
@@ -43,7 +42,7 @@ static void batchPredict() throws IOException, ExecutionException, InterruptedEx
   }
 
   static void batchPredict(String projectId, String modelId, String inputUri, String outputUri)
-          throws IOException, ExecutionException, InterruptedException {
+      throws IOException, ExecutionException, InterruptedException {
     // Initialize client that will be used to send requests. This client only needs to be created
     // once, and can be reused for multiple requests. After completing all of your requests, call
     // the "close" method on the client to safely clean up any remaining background resources.
@@ -52,20 +51,20 @@ static void batchPredict(String projectId, String modelId, String inputUri, Stri
       ModelName name = ModelName.of(projectId, "us-central1", modelId);
       GcsSource gcsSource = GcsSource.newBuilder().addInputUris(inputUri).build();
       BatchPredictInputConfig inputConfig =
-              BatchPredictInputConfig.newBuilder().setGcsSource(gcsSource).build();
+          BatchPredictInputConfig.newBuilder().setGcsSource(gcsSource).build();
       GcsDestination gcsDestination =
-              GcsDestination.newBuilder().setOutputUriPrefix(outputUri).build();
+          GcsDestination.newBuilder().setOutputUriPrefix(outputUri).build();
       BatchPredictOutputConfig outputConfig =
-              BatchPredictOutputConfig.newBuilder().setGcsDestination(gcsDestination).build();
+          BatchPredictOutputConfig.newBuilder().setGcsDestination(gcsDestination).build();
       BatchPredictRequest request =
-              BatchPredictRequest.newBuilder()
-                      .setName(name.toString())
-                      .setInputConfig(inputConfig)
-                      .setOutputConfig(outputConfig)
-                      .build();
+          BatchPredictRequest.newBuilder()
+              .setName(name.toString())
+              .setInputConfig(inputConfig)
+              .setOutputConfig(outputConfig)
+              .build();
 
       OperationFuture<BatchPredictResult, OperationMetadata> future =
-              client.batchPredictAsync(request);
+          client.batchPredictAsync(request);
 
       System.out.println("Waiting for operation to complete...");
       BatchPredictResult response = future.get();

automl/snippets/src/main/java/com/example/automl/DeleteDataset.java

@@ -20,7 +20,6 @@
 import com.google.cloud.automl.v1.AutoMlClient;
 import com.google.cloud.automl.v1.DatasetName;
 import com.google.protobuf.Empty;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/DeleteModel.java

@@ -20,7 +20,6 @@
 import com.google.cloud.automl.v1.AutoMlClient;
 import com.google.cloud.automl.v1.ModelName;
 import com.google.protobuf.Empty;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/DeployModel.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.ModelName;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.protobuf.Empty;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/ExportDataset.java

@@ -22,7 +22,6 @@
 import com.google.cloud.automl.v1.GcsDestination;
 import com.google.cloud.automl.v1.OutputConfig;
 import com.google.protobuf.Empty;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/GetDataset.java

@@ -25,7 +25,6 @@
 import com.google.cloud.automl.v1.AutoMlClient;
 import com.google.cloud.automl.v1.Dataset;
 import com.google.cloud.automl.v1.DatasetName;
-
 import java.io.IOException;
 
 class GetDataset {

automl/snippets/src/main/java/com/example/automl/GetModel.java

@@ -20,7 +20,6 @@
 import com.google.cloud.automl.v1.AutoMlClient;
 import com.google.cloud.automl.v1.Model;
 import com.google.cloud.automl.v1.ModelName;
-
 import java.io.IOException;
 
 class GetModel {

automl/snippets/src/main/java/com/example/automl/GetModelEvaluation.java

@@ -26,7 +26,6 @@
 import com.google.cloud.automl.v1.AutoMlClient;
 import com.google.cloud.automl.v1.ModelEvaluation;
 import com.google.cloud.automl.v1.ModelEvaluationName;
-
 import java.io.IOException;
 
 class GetModelEvaluation {
@@ -41,14 +40,14 @@ static void getModelEvaluation() throws IOException {
 
   // Get a model evaluation
   static void getModelEvaluation(String projectId, String modelId, String modelEvaluationId)
-          throws IOException {
+      throws IOException {
     // Initialize client that will be used to send requests. This client only needs to be created
     // once, and can be reused for multiple requests. After completing all of your requests, call
     // the "close" method on the client to safely clean up any remaining background resources.
     try (AutoMlClient client = AutoMlClient.create()) {
       // Get the full path of the model evaluation.
       ModelEvaluationName modelEvaluationFullId =
-              ModelEvaluationName.of(projectId, "us-central1", modelId, modelEvaluationId);
+          ModelEvaluationName.of(projectId, "us-central1", modelId, modelEvaluationId);
 
       // Get complete detail of the model evaluation.
       ModelEvaluation modelEvaluation = client.getModelEvaluation(modelEvaluationFullId);
@@ -59,38 +58,41 @@ static void getModelEvaluation(String projectId, String modelId, String modelEva
       System.out.format("\tseconds: %s\n", modelEvaluation.getCreateTime().getSeconds());
       System.out.format("\tnanos: %s", modelEvaluation.getCreateTime().getNanos() / 1e9);
       System.out.format(
-              "Evalution Example Count: %d\n", modelEvaluation.getEvaluatedExampleCount());
+          "Evalution Example Count: %d\n", modelEvaluation.getEvaluatedExampleCount());
       // [END automl_language_sentiment_analysis_get_model_evaluation]
       // [END automl_language_text_classification_get_model_evaluation]
       // [END automl_translate_get_model_evaluation]
       // [END automl_vision_classification_get_model_evaluation]
       // [END automl_vision_object_detection_get_model_evaluation]
-      System.out.format("Entity Extraction Model Evaluation Metrics: %s\n",
-              modelEvaluation.getTextExtractionEvaluationMetrics());
+      System.out.format(
+          "Entity Extraction Model Evaluation Metrics: %s\n",
+          modelEvaluation.getTextExtractionEvaluationMetrics());
       // [END automl_language_entity_extraction_get_model_evaluation]
 
       // [START automl_language_sentiment_analysis_get_model_evaluation]
-      System.out.format("Sentiment Analysis Model Evaluation Metrics: %s\n",
-              modelEvaluation.getTextSentimentEvaluationMetrics());
+      System.out.format(
+          "Sentiment Analysis Model Evaluation Metrics: %s\n",
+          modelEvaluation.getTextSentimentEvaluationMetrics());
       // [END automl_language_sentiment_analysis_get_model_evaluation]
 
       // [START automl_language_text_classification_get_model_evaluation]
       // [START automl_vision_classification_get_model_evaluation]
-      System.out.format("Classification Model Evaluation Metrics: %s\n",
-              modelEvaluation.getClassificationEvaluationMetrics());
+      System.out.format(
+          "Classification Model Evaluation Metrics: %s\n",
+          modelEvaluation.getClassificationEvaluationMetrics());
       // [END automl_language_text_classification_get_model_evaluation]
       // [END automl_vision_classification_get_model_evaluation]
 
       // [START automl_translate_get_model_evaluation]
       System.out.format(
-              "Translate Model Evaluation Metrics: %s\n",
-              modelEvaluation.getTranslationEvaluationMetrics());
+          "Translate Model Evaluation Metrics: %s\n",
+          modelEvaluation.getTranslationEvaluationMetrics());
       // [END automl_translate_get_model_evaluation]
 
-
       // [START automl_vision_object_detection_get_model_evaluation]
-      System.out.format("Object Detection Model Evaluation Metrics: %s\n",
-              modelEvaluation.getImageObjectDetectionEvaluationMetrics());
+      System.out.format(
+          "Object Detection Model Evaluation Metrics: %s\n",
+          modelEvaluation.getImageObjectDetectionEvaluationMetrics());
       // [START automl_language_entity_extraction_get_model_evaluation]
       // [START automl_language_sentiment_analysis_get_model_evaluation]
       // [START automl_language_text_classification_get_model_evaluation]

automl/snippets/src/main/java/com/example/automl/GetOperationStatus.java

@@ -19,7 +19,6 @@
 // [START automl_get_operation_status]
 import com.google.cloud.automl.v1.AutoMlClient;
 import com.google.longrunning.Operation;
-
 import java.io.IOException;
 
 class GetOperationStatus {

automl/snippets/src/main/java/com/example/automl/ImportDataset.java

@@ -22,7 +22,6 @@
 import com.google.cloud.automl.v1.GcsSource;
 import com.google.cloud.automl.v1.InputConfig;
 import com.google.protobuf.Empty;
-
 import java.io.IOException;
 import java.util.Arrays;
 import java.util.concurrent.ExecutionException;

automl/snippets/src/main/java/com/example/automl/LanguageEntityExtractionCreateDataset.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.LocationName;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.cloud.automl.v1.TextExtractionDatasetMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/LanguageEntityExtractionCreateModel.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.Model;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.cloud.automl.v1.TextExtractionModelMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/LanguageEntityExtractionPredict.java

@@ -25,7 +25,6 @@
 import com.google.cloud.automl.v1.PredictionServiceClient;
 import com.google.cloud.automl.v1.TextSegment;
 import com.google.cloud.automl.v1.TextSnippet;
-
 import java.io.IOException;
 
 class LanguageEntityExtractionPredict {

automl/snippets/src/main/java/com/example/automl/LanguageSentimentAnalysisCreateDataset.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.LocationName;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.cloud.automl.v1.TextSentimentDatasetMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/LanguageSentimentAnalysisCreateModel.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.Model;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.cloud.automl.v1.TextSentimentModelMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/LanguageSentimentAnalysisPredict.java

@@ -24,7 +24,6 @@
 import com.google.cloud.automl.v1.PredictResponse;
 import com.google.cloud.automl.v1.PredictionServiceClient;
 import com.google.cloud.automl.v1.TextSnippet;
-
 import java.io.IOException;
 
 class LanguageSentimentAnalysisPredict {

automl/snippets/src/main/java/com/example/automl/LanguageTextClassificationCreateDataset.java

@@ -24,7 +24,6 @@
 import com.google.cloud.automl.v1.LocationName;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.cloud.automl.v1.TextClassificationDatasetMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/LanguageTextClassificationCreateModel.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.Model;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.cloud.automl.v1.TextClassificationModelMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/LanguageTextClassificationPredict.java

@@ -24,7 +24,6 @@
 import com.google.cloud.automl.v1.PredictResponse;
 import com.google.cloud.automl.v1.PredictionServiceClient;
 import com.google.cloud.automl.v1.TextSnippet;
-
 import java.io.IOException;
 
 class LanguageTextClassificationPredict {

automl/snippets/src/main/java/com/example/automl/ListDatasets.java

@@ -26,7 +26,6 @@
 import com.google.cloud.automl.v1.Dataset;
 import com.google.cloud.automl.v1.ListDatasetsRequest;
 import com.google.cloud.automl.v1.LocationName;
-
 import java.io.IOException;
 
 class ListDatasets {
@@ -46,9 +45,7 @@ static void listDatasets(String projectId) throws IOException {
       // A resource that represents Google Cloud Platform location.
       LocationName projectLocation = LocationName.of(projectId, "us-central1");
       ListDatasetsRequest request =
-          ListDatasetsRequest.newBuilder()
-              .setParent(projectLocation.toString())
-              .build();
+          ListDatasetsRequest.newBuilder().setParent(projectLocation.toString()).build();
 
       // List all the datasets available in the region by applying filter.
       System.out.println("List of datasets:");

automl/snippets/src/main/java/com/example/automl/ListModelEvaluations.java

@@ -27,7 +27,6 @@
 import com.google.cloud.automl.v1.ListModelEvaluationsRequest;
 import com.google.cloud.automl.v1.ModelEvaluation;
 import com.google.cloud.automl.v1.ModelName;
-
 import java.io.IOException;
 
 class ListModelEvaluations {

automl/snippets/src/main/java/com/example/automl/ListModels.java

@@ -21,7 +21,6 @@
 import com.google.cloud.automl.v1.ListModelsRequest;
 import com.google.cloud.automl.v1.LocationName;
 import com.google.cloud.automl.v1.Model;
-
 import java.io.IOException;
 
 class ListModels {

automl/snippets/src/main/java/com/example/automl/ListOperationStatus.java

@@ -21,7 +21,6 @@
 import com.google.cloud.automl.v1.LocationName;
 import com.google.longrunning.ListOperationsRequest;
 import com.google.longrunning.Operation;
-
 import java.io.IOException;
 
 class ListOperationStatus {

automl/snippets/src/main/java/com/example/automl/TranslateCreateDataset.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.LocationName;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.cloud.automl.v1.TranslationDatasetMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/TranslateCreateModel.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.Model;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.cloud.automl.v1.TranslationModelMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/TranslatePredict.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.PredictResponse;
 import com.google.cloud.automl.v1.PredictionServiceClient;
 import com.google.cloud.automl.v1.TextSnippet;
-
 import java.io.IOException;
 import java.nio.file.Files;
 import java.nio.file.Paths;

automl/snippets/src/main/java/com/example/automl/UndeployModel.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.cloud.automl.v1.UndeployModelRequest;
 import com.google.protobuf.Empty;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/VisionClassificationCreateDataset.java

@@ -24,7 +24,6 @@
 import com.google.cloud.automl.v1.ImageClassificationDatasetMetadata;
 import com.google.cloud.automl.v1.LocationName;
 import com.google.cloud.automl.v1.OperationMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/VisionClassificationCreateModel.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.LocationName;
 import com.google.cloud.automl.v1.Model;
 import com.google.cloud.automl.v1.OperationMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/VisionClassificationDeployModelNodeCount.java

@@ -24,7 +24,6 @@
 import com.google.cloud.automl.v1.ModelName;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.protobuf.Empty;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/VisionClassificationPredict.java

@@ -25,7 +25,6 @@
 import com.google.cloud.automl.v1.PredictResponse;
 import com.google.cloud.automl.v1.PredictionServiceClient;
 import com.google.protobuf.ByteString;
-
 import java.io.IOException;
 import java.nio.file.Files;
 import java.nio.file.Paths;

automl/snippets/src/main/java/com/example/automl/VisionObjectDetectionCreateDataset.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata;
 import com.google.cloud.automl.v1.LocationName;
 import com.google.cloud.automl.v1.OperationMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/VisionObjectDetectionCreateModel.java

@@ -23,7 +23,6 @@
 import com.google.cloud.automl.v1.LocationName;
 import com.google.cloud.automl.v1.Model;
 import com.google.cloud.automl.v1.OperationMetadata;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;
 

automl/snippets/src/main/java/com/example/automl/VisionObjectDetectionDeployModelNodeCount.java

@@ -24,7 +24,6 @@
 import com.google.cloud.automl.v1.ModelName;
 import com.google.cloud.automl.v1.OperationMetadata;
 import com.google.protobuf.Empty;
-
 import java.io.IOException;
 import java.util.concurrent.ExecutionException;