log.put("runOnce delays.size=${delays.size}")
      return@schedule delays.removeAt(0)
    }

    assertThat(log.take()).isEqualTo("runOnce delays.size=2")
    val t2 = System.nanoTime() / 1e6 - t1
    assertThat(t2).isCloseTo(750.0, 250.0)

    assertThat(log.take()).isEqualTo("runOnce delays.size=1")
    val t3 = System.nanoTime() / 1e6 - t1
    assertThat(t3).isCloseTo(1750.0, 250.0)
  }

    python3 -m pip install "$TF_WHEEL"
}

@test "TensorFlow is importable" {
    source /tf/venv/bin/activate
    python3 -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
}

# Is this still useful?
@test "TensorFlow has Keras" {
    source /tf/venv/bin/activate

    val a2 = client.newCall(newRequest("http://a/2"))
    val a3 = client.newCall(newRequest("http://a/3"))
    val a4 = client.newCall(newRequest("http://a/4"))
    val t1 = makeSynchronousCall(a1)
    val t2 = makeSynchronousCall(a2)

    // We created 4 calls and started 2 of them. That's 2 running calls and 0 queued.
    ready.await()
    assertThat(dispatcher.runningCallsCount()).isEqualTo(2)