Fix ktlint-detected errors

Author: jakmro

android/src/main/java/com/swmansion/rnexecutorch/SpeechToText.kt

@@ -15,11 +15,12 @@ class SpeechToText(
   private var whisperPreprocessor = WhisperPreprocessor(reactContext)
   private var whisperEncoder = WhisperEncoder(reactContext)
   private var whisperDecoder = WhisperDecoder(reactContext)
-  private var START_TOKEN = 50257
-  private var EOS_TOKEN = 50256
 
   companion object {
     const val NAME = "SpeechToText"
+
+    const val START_TOKEN = 50257
+    const val EOS_TOKEN = 50256
   }
 
   override fun loadModule(
@@ -44,10 +45,10 @@ class SpeechToText(
   ) {
     val logMel = this.whisperPreprocessor.runModel(waveform)
     val encoding = this.whisperEncoder.runModel(logMel)
-    val generatedTokens = mutableListOf(this.START_TOKEN)
+    val generatedTokens = mutableListOf(START_TOKEN)
     var lastToken = 0
     Thread {
-      while (lastToken != this.EOS_TOKEN) {
+      while (lastToken != EOS_TOKEN) {
         this.whisperDecoder.setGeneratedTokens(generatedTokens)
         lastToken = this.whisperDecoder.runModel(encoding)
         emitOnToken(lastToken.toDouble())

android/src/main/java/com/swmansion/rnexecutorch/models/StyleTransferModel.kt

@@ -29,7 +29,7 @@ class StyleTransferModel(
   override fun postprocess(output: Array<EValue>): Mat {
     val tensor = output[0].toTensor()
     val modelShape = getModelImageSize()
-    val result = ImageProcessor.EValueToMat(tensor.dataAsFloatArray, modelShape.width.toInt(), modelShape.height.toInt())
+    val result = ImageProcessor.eValueToMat(tensor.dataAsFloatArray, modelShape.width.toInt(), modelShape.height.toInt())
     Imgproc.resize(result, result, originalSize)
     return result
   }

android/src/main/java/com/swmansion/rnexecutorch/models/objectDetection/SSDLiteLargeModel.kt

@@ -12,8 +12,8 @@ import org.opencv.core.Size
 import org.opencv.imgproc.Imgproc
 import org.pytorch.executorch.EValue
 
-const val detectionScoreThreshold = .7f
-const val iouThreshold = .55f
+const val DETECTION_SCORE_THRESHOLD = .7f
+const val IOU_THRESHOLD = .55f
 
 class SSDLiteLargeModel(
   reactApplicationContext: ReactApplicationContext,
@@ -52,7 +52,7 @@ class SSDLiteLargeModel(
     val detections: MutableList<Detection> = mutableListOf()
     for (idx in 0 until numel.toInt()) {
       val score = scores[idx]
-      if (score < detectionScoreThreshold) {
+      if (score < DETECTION_SCORE_THRESHOLD) {
         continue
       }
       val bbox =
@@ -68,7 +68,7 @@ class SSDLiteLargeModel(
       )
     }
 
-    val detectionsPostNms = nms(detections, iouThreshold)
+    val detectionsPostNms = nms(detections, IOU_THRESHOLD)
     return detectionsPostNms.toTypedArray()
   }
 }

android/src/main/java/com/swmansion/rnexecutorch/utils/ImageProcessor.kt

@@ -72,7 +72,7 @@ class ImageProcessor {
       )
     }
 
-    fun EValueToMat(
+    fun eValueToMat(
       array: FloatArray,
       width: Int,
       height: Int,