Make logging less chatty

This commit is contained in:
Aleksandras Kostarevas 2024-03-14 15:43:51 -05:00
parent 455c3741ae
commit 0b7c386d11
2 changed files with 8 additions and 8 deletions

View File

@ -70,7 +70,7 @@ public class LanguageModel {
List<String> personalDictionary, List<String> personalDictionary,
String[] bannedWords String[] bannedWords
) { ) {
Log.d("LanguageModel", "getSuggestions called"); //Log.d("LanguageModel", "getSuggestions called");
if (mNativeState == 0) { if (mNativeState == 0) {
loadModel(); loadModel();
@ -249,7 +249,7 @@ public class LanguageModel {
suggestion.mOriginatesFromTransformerLM = true; suggestion.mOriginatesFromTransformerLM = true;
} }
Log.d("LanguageModel", "returning " + String.valueOf(suggestions.size()) + " suggestions"); //Log.d("LanguageModel", "returning " + String.valueOf(suggestions.size()) + " suggestions");
return suggestions; return suggestions;
} }

View File

@ -155,7 +155,7 @@ public class LanguageModelFacilitator(
val emoji = emojiData.emojiAliases[word.lowercase()] val emoji = emojiData.emojiAliases[word.lowercase()]
if(emoji != null) { if(emoji != null) {
Log.i("LanguageModelFacilitator", "Found emoji ${emoji.emoji} for $word") //Log.i("LanguageModelFacilitator", "Found emoji ${emoji.emoji} for $word")
return SuggestedWordInfo( return SuggestedWordInfo(
emoji.emoji, emoji.emoji,
"", "",
@ -268,8 +268,8 @@ public class LanguageModelFacilitator(
suggestionBlacklist.isSuggestedWordOk(it) suggestionBlacklist.isSuggestedWordOk(it)
} }
Log.d("LanguageModelFacilitator", "suggestedWordsDict = ${suggestedWordsDictList?.map { "$it ${it.mScore}" }}") //Log.d("LanguageModelFacilitator", "suggestedWordsDict = ${suggestedWordsDictList?.map { "$it ${it.mScore}" }}")
Log.d("LanguageModelFacilitator", "lmSuggestions = ${lmSuggestions.map { "$it ${it.mScore}" }}") //Log.d("LanguageModelFacilitator", "lmSuggestions = ${lmSuggestions.map { "$it ${it.mScore}" }}")
val maxWordDict = suggestedWordsDictList?.maxByOrNull { val maxWordDict = suggestedWordsDictList?.maxByOrNull {
if(it == suggestedWordsDict.typedWordInfo) { Int.MIN_VALUE } else { it.mScore } if(it == suggestedWordsDict.typedWordInfo) { Int.MIN_VALUE } else { it.mScore }
@ -328,7 +328,7 @@ public class LanguageModelFacilitator(
} }
} }
Log.d("LanguageModelFacilitator", "final suggestionResults = ${suggestionResults.map { "$it ${it.mScore}" }}") //Log.d("LanguageModelFacilitator", "final suggestionResults = ${suggestionResults.map { "$it ${it.mScore}" }}")
val wordComposer = inputLogic.mWordComposer val wordComposer = inputLogic.mWordComposer
val suggestedWords = Suggest.obtainNonBatchedInputSuggestedWords( val suggestedWords = Suggest.obtainNonBatchedInputSuggestedWords(
wordComposer, values.inputStyle, true, -1, locale, suggestionResults, settingsValues.mAutoCorrectionThreshold) wordComposer, values.inputStyle, true, -1, locale, suggestionResults, settingsValues.mAutoCorrectionThreshold)
@ -380,7 +380,7 @@ public class LanguageModelFacilitator(
launch { launch {
withContext(Dispatchers.Default) { withContext(Dispatchers.Default) {
sharedFlow.conflate().collect { value -> sharedFlow.conflate().collect { value ->
Log.d("LanguageModelFacilitator", "Collecting") //Log.d("LanguageModelFacilitator", "Collecting")
processUpdateSuggestionStrip(value) processUpdateSuggestionStrip(value)
} }
} }
@ -440,7 +440,7 @@ public class LanguageModelFacilitator(
) )
lifecycleScope.launch { lifecycleScope.launch {
Log.d("LanguageModelFacilitator", "Emitting values") //Log.d("LanguageModelFacilitator", "Emitting values")
sharedFlow.emit(values) sharedFlow.emit(values)
} }
} catch(e: Exception) { } catch(e: Exception) {