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https://github.com/oxen-io/session-android.git
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Merge branch 'dev' into on
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commit
7045c7bd18
@ -1,23 +1,60 @@
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package org.session.libsignal.utilities
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import android.os.Process
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import java.util.concurrent.*
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import java.util.concurrent.ExecutorService
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import java.util.concurrent.LinkedBlockingQueue
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import java.util.concurrent.SynchronousQueue
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import java.util.concurrent.ThreadPoolExecutor
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import java.util.concurrent.TimeUnit
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object ThreadUtils {
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const val TAG = "ThreadUtils"
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const val PRIORITY_IMPORTANT_BACKGROUND_THREAD = Process.THREAD_PRIORITY_DEFAULT + Process.THREAD_PRIORITY_LESS_FAVORABLE
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val executorPool: ExecutorService = Executors.newCachedThreadPool()
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// Paraphrased from: https://www.baeldung.com/kotlin/create-thread-pool
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// "A cached thread pool such as one created via:
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// `val executorPool: ExecutorService = Executors.newCachedThreadPool()`
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// will utilize resources according to the requirements of submitted tasks. It will try to reuse
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// existing threads for submitted tasks but will create as many threads as it needs if new tasks
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// keep pouring in (with a memory usage of at least 1MB per created thread). These threads will
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// live for up to 60 seconds of idle time before terminating by default. As such, it presents a
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// very sharp tool that doesn't include any backpressure mechanism - and a sudden peak in load
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// can bring the system down with an OutOfMemory error. We can achieve a similar effect but with
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// better control by creating a ThreadPoolExecutor manually."
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private val corePoolSize = Runtime.getRuntime().availableProcessors() // Default thread pool size is our CPU core count
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private val maxPoolSize = corePoolSize * 4 // Allow a maximum pool size of up to 4 threads per core
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private val keepAliveTimeSecs = 100L // How long to keep idle threads in the pool before they are terminated
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private val workQueue = SynchronousQueue<Runnable>()
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val executorPool: ExecutorService = ThreadPoolExecutor(corePoolSize, maxPoolSize, keepAliveTimeSecs, TimeUnit.SECONDS, workQueue)
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// Note: To see how many threads are running in our app at any given time we can use:
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// val threadCount = getAllStackTraces().size
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@JvmStatic
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fun queue(target: Runnable) {
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executorPool.execute(target)
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executorPool.execute {
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try {
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target.run()
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} catch (e: Exception) {
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Log.e(TAG, e)
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}
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}
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}
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fun queue(target: () -> Unit) {
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executorPool.execute(target)
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executorPool.execute {
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try {
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target()
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} catch (e: Exception) {
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Log.e(TAG, e)
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}
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}
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}
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// Thread executor used by the audio recorder only
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@JvmStatic
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fun newDynamicSingleThreadedExecutor(): ExecutorService {
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val executor = ThreadPoolExecutor(1, 1, 60, TimeUnit.SECONDS, LinkedBlockingQueue())
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