Lint

Author: kirklandsign

extension/android/CMakeLists.txt

@@ -170,7 +170,10 @@ if(EXECUTORCH_BUILD_EXTENSION_TRAINING)
 endif()
 
 if(EXECUTORCH_BUILD_LLAMA_JNI)
-  target_sources(executorch_jni PRIVATE jni/jni_layer_llama.cpp jni/jni_layer_asr.cpp jni/log.cpp)
+  target_sources(
+    executorch_jni PRIVATE jni/jni_layer_llama.cpp jni/jni_layer_asr.cpp
+                           jni/log.cpp
+  )
   list(APPEND link_libraries extension_llm_runner extension_asr_runner)
   target_compile_definitions(executorch_jni PUBLIC EXECUTORCH_BUILD_LLAMA_JNI=1)
 

extension/android/executorch_android/src/main/java/org/pytorch/executorch/extension/asr/AsrCallback.kt

@@ -11,26 +11,25 @@ package org.pytorch.executorch.extension.asr
 import org.pytorch.executorch.annotations.Experimental
 
 /**
- * Callback interface for ASR (Automatic Speech Recognition) module.
- * Users can implement this interface to receive the transcribed tokens
- * and completion notification.
+ * Callback interface for ASR (Automatic Speech Recognition) module. Users can implement this
+ * interface to receive the transcribed tokens and completion notification.
  *
  * Warning: These APIs are experimental and subject to change without notice
  */
 @Experimental
 interface AsrCallback {
-    /**
-     * Called when a new token is available from JNI.
-     * Users will keep getting onToken() invocations until transcription finishes.
-     *
-     * @param token The decoded text token
-     */
-    fun onToken(token: String)
+  /**
+   * Called when a new token is available from JNI. Users will keep getting onToken() invocations
+   * until transcription finishes.
+   *
+   * @param token The decoded text token
+   */
+  fun onToken(token: String)
 
-    /**
-     * Called when transcription is complete.
-     *
-     * @param transcription The complete transcription (may be empty if tokens were streamed)
-     */
-    fun onComplete(transcription: String) {}
+  /**
+   * Called when transcription is complete.
+   *
+   * @param transcription The complete transcription (may be empty if tokens were streamed)
+   */
+  fun onComplete(transcription: String) {}
 }