runtime.Gosched()
		stats := c.Stats()
		if stats.IncomingStreams != 0 {
			if i > 0 {
				time.Sleep(100 * time.Millisecond)
				continue
			}
			var found []uint64
			c.inStream.Range(func(key uint64, value *muxServer) bool {
				found = append(found, key)
				return true
			})
			t.Errorf("expected no active streams, got %d incoming: %v", stats.IncomingStreams, found)
		}

	}

	// Preload
	tx = tx.Preload("Orders", "state != ?", "cancelled")
	args, ok := tx.Statement.Preloads["Orders"]
	if !ok || len(args) != 2 {
		t.Fatalf("Preload expected with args, got %v", tx.Statement.Preloads)
	}

	// Scopes: just ensure calling Scopes doesn't panic and returns a DB
	tx = tx.Scopes(func(d *gorm.DB) *gorm.DB { return d.Where("status = ?", "ok") })
	if tx == nil {
		t.Fatalf("Scopes returned nil")

        queryContext.setQueryBuilder(initialQuery);

        queryContext.addFunctionScore(list -> {
            list.add(new FilterFunctionBuilder(QueryBuilders.termQuery("status", "active"),
                    ScoreFunctionBuilders.weightFactorFunction(2.0f)));
        });

        QueryBuilder result = queryContext.getQueryBuilder();
        assertNotNull(result);

additional terms that apply to those files, or a notice indicating
where to find the applicable terms.

  Additional terms, permissive or non-permissive, may be stated in the
form of a separately written license, or stated as exceptions;
the above requirements apply either way.

  8. Termination.

  You may not propagate or modify a covered work except as expressly

}

void TF_TensorFromProto(const TF_Buffer* from, TF_Tensor* to,
                        TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");
  tensorflow::TensorProto from_tensor_proto;
  status->status = BufferToMessage(from, &from_tensor_proto);
  if (!status->status.ok()) {
    return;
  }
  status->status =
      tensorflow::down_cast<tensorflow::TensorInterface*>(to->tensor)
          ->FromProto(from_tensor_proto);

      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of

      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of

      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of

      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of

 * (We have made some trivial local modifications (commented out
 * uncompilable code).)
 */

package com.google.common.util.concurrent;

import static com.google.common.testing.SerializableTester.reserialize;
import static com.google.common.truth.Truth.assertThat;
import static java.util.concurrent.TimeUnit.MILLISECONDS;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;