musikr.pipeline: disable extraction shuffling

No longer needed now that jpeg writes are extremely quick. Will
re-introduce in the case that I introduce webp parsing again.

musikr/src/main/java/org/oxycblt/musikr/pipeline/ExtractStep.kt

@@ -90,7 +90,6 @@ private class ExtractStepImpl(
 
         val fds =
             uncachedSongs
-                .shuffle()
                 .mapNotNull {
                     wrap(it) { file ->
                         withContext(Dispatchers.IO) {

musikr/src/main/java/org/oxycblt/musikr/pipeline/FlowUtil.kt

@@ -82,15 +82,3 @@ internal fun <T> Flow<T>.distribute(n: Int): DistributedFlow<T> {
     val hotFlows = posChannels.map { it.receiveAsFlow() }.toTypedArray()
     return DistributedFlow(managerFlow, hotFlows)
 }
-
-internal fun <T> Flow<T>.shuffle() = flow {
-    // As far as I'm aware, the only way to get a truly normal distribution
-    // on a flow is by evaluating it. I tried a bunch of different strategies
-    // on lazily shuffling a flow and it simply doesn't produce a good enough
-    // distribution since you need to emit late stuff early and early stuff
-    // late. It's best to just eval and re-emit.
-    val output = mutableListOf<T>()
-    toList(output)
-    output.shuffle()
-    emitAll(output.asFlow())
-}