Refactor code (#163)

ios-swift/SherpaNcnn/SherpaNcnn/ViewController.swift

@@ -90,10 +90,10 @@ class ViewController: UIViewController {
             featureDim: 80)
 
         let modelConfig = getMultilingualModelConfig2022_12_06()
-        // var modelConfig = getMultilingualModelConfig2022_12_06_Int8()
-        // var modelConfig = getConvEmformerSmallEnglishModelConfig2023_01_09()
-        // var modelConfig = getConvEmformerSmallEnglishModelConfig2023_01_09_Int8()
-        // var modelConfig = getLstmTransducerEnglish_2022_09_05()
+        // let modelConfig = getMultilingualModelConfig2022_12_06_Int8()
+        // let modelConfig = getConvEmformerSmallEnglishModelConfig2023_01_09()
+        // let modelConfig = getConvEmformerSmallEnglishModelConfig2023_01_09_Int8()
+        // let modelConfig = getLstmTransducerEnglish_2022_09_05()
 
         let decoderConfig = sherpaNcnnDecoderConfig(
             decodingMethod: "modified_beam_search",

swift-api-examples/SherpaNcnn.swift

@@ -196,7 +196,7 @@ class SherpaNcnnRecognizer {
     }
 
     func isReady() -> Bool {
-        return IsReady(recognizer, stream) == 1 ? true : false
+        return IsReady(recognizer, stream) == 1
     }
 
     /// If there are enough number of feature frames, it invokes the neural
@@ -225,6 +225,6 @@ class SherpaNcnnRecognizer {
 
     /// Return true is an endpoint has been detected.
     func isEndpoint() -> Bool {
-        return IsEndpoint(recognizer, stream) == 1 ? true : false
+        return IsEndpoint(recognizer, stream) == 1
     }
 }