assertThat(ping.payload2).isEqualTo(0)
    assertThat(ping.ack).isTrue()
  }

  @Test fun clientPingsServer() {
    // Write the mocking script.
    peer.sendFrame().settings(Settings())
    peer.acceptFrame() // ACK
    peer.acceptFrame() // PING
    peer.sendFrame().ping(true, Http2Connection.AWAIT_PING, 5)
    peer.play()

    // Play it back.
    val connection = connect(peer)

<c:if test="${crudMode == 1}">
	<button type="submit" class="btn btn-default" name="list"
		value="<la:message key="labels.crud_button_back" />">
		<em class="fa fa-arrow-circle-left">
		<la:message key="labels.crud_button_back" />
	</button>
	<c:if test="${editable}">
	<button type="submit" class="btn btn-success" name="create"
		value="<la:message key="labels.crud_button_create" />">

    items = relationship("Item", back_populates="owner")


class Item(Base):
    __tablename__ = "items"

    id = Column(Integer, primary_key=True)
    title = Column(String, index=True)
    description = Column(String, index=True)
    owner_id = Column(Integer, ForeignKey("users.id"))

        // GradientTape which uses ones.
        Gradient* zero = input_tensors[target_index].ZerosLike();
        new_zeros.push_back(zero);
        in_grads.push_back(zero);
      } else {
        in_grads.push_back(nullptr);
      }
    } else {
      in_grads.push_back(current_grad->second);
    }
  }

  // Avoid infinite recursion. Whichever forward function we run, it'll end up

        assertEquals( Artifact.SCOPE_COMPILE, artifact.getScope(), "dependency artifact has wrong scope." );

        //check for back-propagation of default scope.
        assertEquals( Artifact.SCOPE_COMPILE, dep.getScope(), "default scope NOT back-propagated to dependency." );
        */
    }

    @Test
    @Disabled
    void testShouldUseInjectedTestScopeFromDependencyManagement() throws Exception {

        return result;
      }
      components.emplace_back(TFE_TensorHandleCopySharingTensor(
          absl::get<TFE_TensorHandle*>(inputs[i]), status));
    }
    std::vector<MaybeParallelTensorOwned> result_content;
    result_content.reserve(1);
    result_content.push_back(ParallelTensor::FromTensorHandles(
        parallel_device, std::move(components), status));

    items = relationship("Item", back_populates="owner")


class Item(Base):
    __tablename__ = "items"

    id = Column(Integer, primary_key=True)
    title = Column(String, index=True)
    description = Column(String, index=True)
    owner_id = Column(Integer, ForeignKey("users.id"))

		defer threadNS.Close()

		// switch to target namespace
		if err = NetnsSet(fdable); err != nil {
			return err
		}
		defer func() {
			err := threadNS.Set() // switch back
			if err == nil {
				// Unlock the current thread only when we successfully switched back
				// to the original namespace; otherwise leave the thread locked which
				// will force the runtime to scrap the current thread, that is maybe

    items = relationship("Item", back_populates="owner")


class Item(Base):
    __tablename__ = "items"

    id = Column(Integer, primary_key=True)
    title = Column(String, index=True)
    description = Column(String, index=True)
    owner_id = Column(Integer, ForeignKey("users.id"))

    for (int i = 0; i < noutputs; ++i) {
      output_names_vec.push_back(string(output_names[i]));
    }
  }

  // Process control output names.
  std::vector<string> control_output_names_vec;
  if (control_output_names) {
    control_output_names_vec.reserve(ncontrol_outputs);
    for (int i = 0; i < ncontrol_outputs; ++i) {
      control_output_names_vec.push_back(string(control_output_names[i]));
    }
  }