# https://github.com/apache/lucene-solr/blob/master/lucene/analysis/common/src/resources/org/apache/lucene/analysis/snowball/finnish_stop.txt
olla
olen
olet
on
olemme
olette
ovat
ole
oli
olisi
olisit
olisin
olisimme
olisitte
olisivat
olit
olin
olimme
olitte
olivat
ollut
olleet
en
et
ei
emme
ette
eivät
minä
minun
minut
minua
minussa
minusta
minuun
minulla

So you wait for your crush to finish the story (finish the current work ⏯ / task being processed 🤓), smile gently and say that you are going for the burgers ⏸.

    a2.cancel()
    a3.cancel()
    assertThat(dispatcher.runningCalls())
      .containsExactlyInAnyOrder(a1, a2)
    assertThat(dispatcher.queuedCalls()).isEmpty()

    // Let the calls finish.
    waiting.countDown()
    t1.join()
    t2.join()

    // Now we should have 0 running calls and 0 queued calls.
    assertThat(dispatcher.runningCallsCount()).isEqualTo(0)

- On the Storage screen, choose the Scale-out Backup Repository that was configured previously.

- Continue with the backup job creation.  On the Summary screen, check the Run the Job when I click Finish checkbox and click the Finish button. The backup job will start immediately.  This will create an Active Full backup of the VMs within the backup job.

    [ObsoleteApacheClient.java][obsolete_apache_client] into your project.

 *  **OkHttp now supports duplex calls over HTTP/2.** With normal HTTP calls the request must finish
    before the response starts. With duplex, request and response bodies are transmitted
    simultaneously. This can be used to implement interactive conversations within a single HTTP
    call.

HSPLandroidx/lifecycle/LifecycleController;-><init>(Landroidx/lifecycle/Lifecycle;Landroidx/lifecycle/Lifecycle$State;Landroidx/lifecycle/DispatchQueue;Lkotlinx/coroutines/Job;)V
HSPLandroidx/lifecycle/LifecycleController;->finish()V
HSPLandroidx/lifecycle/LifecycleCoroutineScope$launchWhenResumed$1;-><init>(Landroidx/lifecycle/LifecycleCoroutineScope;Lkotlin/jvm/functions/Function2;Lkotlin/coroutines/Continuation;)V

oEnd","propFilter","bind","complete","timer","anim","*","tweener","oldfire","propTween","restoreDisplay","isBox","dataShow","unqueued","overflow","overflowX","overflowY","prefilter","speed","speeds","fadeTo","to","animate","optall","doAnimation","finish","stopQueue","timers","cssFn","slideDown","slideUp","slideToggle","fadeIn","fadeOut","fadeToggle","slow","fast","delay","time","timeout","clearTimeout","checkOn","optSelected","radioValue","boolHook","removeAttr","nType","attrHooks","attrNames","...

and walking away.  `You insult me by talking such nonsense!'

  `I didn't mean it!' pleaded poor Alice.  `But you're so easily
offended, you know!'

  The Mouse only growled in reply.

  `Please come back and finish your story!' Alice called after
it; and the others all joined in chorus, `Yes, please do!' but
the Mouse only shook its head impatiently, and walked a little
quicker.

      tf.data service
      (https://www.tensorflow.org/api_docs/python/tf/data/experimental/service)
      to write distributed dataset snapshots. The call is non-blocking and
      returns without waiting for the snapshot to finish. Setting `wait=True` to
      `tf.data.Dataset.load` allows the snapshots to be read while they are
      being written.

### Bug Fixes and Other Changes

        ) {
          t.printStackTrace(System.out)
          latch.countDown()
        }
      },
    )

    check(latch.await(30, TimeUnit.SECONDS)) { "Timed out waiting for test $number to finish." }
    val endNanos = System.nanoTime()
    val tookMs = TimeUnit.NANOSECONDS.toMillis(endNanos - startNanos.get())
    println("Took ${tookMs}ms")
  }

  private fun getTestCount(): Long {