Merge pull request #171 from Rageking8/tidy-up-superfluous-semicolons

Tidy up superfluous semicolons

Author: ttorble

articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-client-library-java-multivariate.md

@@ -241,7 +241,7 @@ UUID resultId = UUID.fromString(substring[substring.length - 1]);
 DetectionResult detectionResult;
 while (true) {
     detectionResult = anomalyDetectorClient.getDetectionResult(resultId);
-    DetectionStatus detectionStatus = detectionResult.getSummary().getStatus();;
+    DetectionStatus detectionStatus = detectionResult.getSummary().getStatus();
     if (detectionStatus == DetectionStatus.READY || detectionStatus == DetectionStatus.FAILED) {
         break;
     }

articles/ai-services/document-intelligence/how-to-guides/includes/v4-0/java-sdk.md

@@ -177,7 +177,7 @@ String documentUrl = "https://raw.githubusercontent.com/Azure-Samples/cognitive-
 String modelId = "prebuilt-read";
 
 SyncPoller < OperationResult, AnalyzeResult > analyzeLayoutResultPoller =
-  client.beginAnalyzeDocument(modelId, invoiceUrl);;
+  client.beginAnalyzeDocument(modelId, invoiceUrl);
 
 AnalyzeResult analyzeLayoutResult = analyzeLayoutResultPoller.getFinalResult().getAnalyzeResult();
 
@@ -338,7 +338,7 @@ String modelId = "prebuilt-document";
 SyncPoller < OperationResult, AnalyzeResult > analyzeDocumentPoller =
   client.beginAnalyzeDocument(modelId, generalDocumentUrl);
 
-AnalyzeResult analyzeResult = analyzeDocumentPoller.getFinalResult().getAnalyzeResult();;
+AnalyzeResult analyzeResult = analyzeDocumentPoller.getFinalResult().getAnalyzeResult();
 
 // pages
 analyzeResult.getPages().forEach(documentPage -> {

articles/ai-services/openai/includes/java.md

@@ -103,8 +103,8 @@ dependencies {
     public class GetCompletionsSample {
     
         public static void main(String[] args) {
-            String azureOpenaiKey = System.getenv("AZURE_OPENAI_API_KEY");;
-            String endpoint = System.getenv("AZURE_OPENAI_ENDPOINT");;
+            String azureOpenaiKey = System.getenv("AZURE_OPENAI_API_KEY");
+            String endpoint = System.getenv("AZURE_OPENAI_ENDPOINT");
             String deploymentOrModelId = "gpt-35-turbo-instruct";
     
             OpenAIClient client = new OpenAIClientBuilder()

articles/machine-learning/v1/how-to-deploy-pipelines.md

@@ -177,7 +177,7 @@ Gson gson = new Gson();
 
 HttpRequest tokenAuthenticationRequest = tokenAuthenticationRequest(tenantId, clientId, clientSecret, resourceManagerUrl);
 Optional<String> authBody = getRequestBody(client, tokenAuthenticationRequest);
-Optional<String> authKey = authBody.flatMap(body -> Optional.of(gson.fromJson(body, AuthenticationBody.class).access_token);;
+Optional<String> authKey = authBody.flatMap(body -> Optional.of(gson.fromJson(body, AuthenticationBody.class).access_token));
 Optional<HttpRequest> scoringRequest = authKey.flatMap(key -> Optional.of(scoringRequest(key, scoringUri, dataToBeScored)));
 Optional<String> scoringResult = scoringRequest.flatMap(req -> getRequestBody(client, req));
 // ... etc (`scoringResult.orElse()`) ...