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      defend, and hold each Contributor harmless for any liability

      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability

      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability

      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability

      and charge a fee for, acceptance of support, warranty, indemnity,
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    val plan1 = routePlanner.addPlan()
    plan1.connectState = TLS_CONNECTED
    plan1.yieldBeforePlanReturns = true // ... but let plan 0 connect before we act upon it.

    taskRunner.newQueue().execute("connect") {
      val result0 = finder.find()
      assertThat(result0).isEqualTo(plan0.connection)
    }

    taskFaker.runTasks()
    assertEvents(

- Kubeadm: make sure the etcd static pod startup probe uses /health?serializable=false...

    functional api would only work if all of the elements in the first argument
    to the layer came from a keras input.
*   Clean up `BatchNormalization` layer's `trainable` property to act like
    standard python state when it's used inside `tf.functions` (frozen at
    tracing time), instead of acting like a pseudo-variable whose updates *kind