chore(visual-recognition-v3): format code

kevinkowa · kevinkowa · commit 3e824dbd2bd3 · 2021-05-25T15:10:19.000-05:00
diff --git a/visual-recognition/src/main/java/com/ibm/watson/visual_recognition/v3/VisualRecognition.java b/visual-recognition/src/main/java/com/ibm/watson/visual_recognition/v3/VisualRecognition.java
@@ -189,7 +189,8 @@ public ServiceCall<ClassifiedImages> classify(ClassifyOptions classifyOptions) {
       multipartBuilder.addFormDataPart("owners", RequestUtils.join(classifyOptions.owners(), ","));
     }
     if (classifyOptions.classifierIds() != null) {
-      multipartBuilder.addFormDataPart("classifier_ids", RequestUtils.join(classifyOptions.classifierIds(), ","));
+      multipartBuilder.addFormDataPart(
+          "classifier_ids", RequestUtils.join(classifyOptions.classifierIds(), ","));
     }
     builder.body(multipartBuilder.build());
     ResponseConverter<ClassifiedImages> responseConverter =
@@ -261,7 +262,8 @@ public ServiceCall<Classifier> createClassifier(CreateClassifierOptions createCl
       if (!negativeExamplesFilename.contains(".")) {
         negativeExamplesFilename += ".zip";
       }
-      multipartBuilder.addFormDataPart("negative_examples", negativeExamplesFilename, negativeExamplesBody);
+      multipartBuilder.addFormDataPart(
+          "negative_examples", negativeExamplesFilename, negativeExamplesBody);
     }
     builder.body(multipartBuilder.build());
     ResponseConverter<Classifier> responseConverter =

Original file line number	Diff line number	Diff line change
`@@ -189,7 +189,8 @@ public ServiceCall<ClassifiedImages> classify(ClassifyOptions classifyOptions) {`
`189`	`189`	`multipartBuilder.addFormDataPart("owners", RequestUtils.join(classifyOptions.owners(), ","));`
`190`	`190`	`}`
`191`	`191`	`if (classifyOptions.classifierIds() != null) {`
`192`		`- multipartBuilder.addFormDataPart("classifier_ids", RequestUtils.join(classifyOptions.classifierIds(), ","));`
	`192`	`+ multipartBuilder.addFormDataPart(`
	`193`	`+ "classifier_ids", RequestUtils.join(classifyOptions.classifierIds(), ","));`
`193`	`194`	`}`
`194`	`195`	`builder.body(multipartBuilder.build());`
`195`	`196`	`ResponseConverter<ClassifiedImages> responseConverter =`
`@@ -261,7 +262,8 @@ public ServiceCall<Classifier> createClassifier(CreateClassifierOptions createCl`
`261`	`262`	`if (!negativeExamplesFilename.contains(".")) {`
`262`	`263`	`negativeExamplesFilename += ".zip";`
`263`	`264`	`}`
`264`		`- multipartBuilder.addFormDataPart("negative_examples", negativeExamplesFilename, negativeExamplesBody);`
	`265`	`+ multipartBuilder.addFormDataPart(`
	`266`	`+ "negative_examples", negativeExamplesFilename, negativeExamplesBody);`
`265`	`267`	`}`
`266`	`268`	`builder.body(multipartBuilder.build());`
`267`	`269`	`ResponseConverter<Classifier> responseConverter =`