std::vector<TensorHandlePtr> vector_handles;
  vector_handles.reserve(2);
  vector_handles.push_back(std::move(two_vector));
  vector_handles.push_back(std::move(three_vector));
  std::unique_ptr<ParallelTensor> unknown_length_vector =
      ParallelTensor::FromTensorHandles(
          parallel_device, std::move(vector_handles), status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());

    for (int j = 0; j < underlying_devices_.size(); ++j) {
      components.push_back(std::move(per_device_output_tensors[j][i]));
    }
    if (expected_output_shapes[i].IsFullyDefined()) {
      per_device_outputs.push_back(ParallelTensor::FromTensorHandles(
          *this, std::move(components),
          absl::Span<const int64_t>(expected_output_shapes[i].dim_sizes()),
          status));
    } else {

A downside of this structure is that it is difficult to do focussed work on the Gradle UI.

## Decision

Introduce a "UI" architecture module to the core platform, and move the user interaction services to this new module.

This includes:

- Logging and progress services.
- Problem generation services (aka the "problems API").
- User prompting services.
- Build options infrastructure.

    (*var_to_data_type_map)[key] = DataType(entry.dtype());
  }
  // The returned pointers are owned by the caller.
  return std::make_pair(std::move(var_to_shape_map),
                        std::move(var_to_data_type_map));
}

}  // namespace checkpoint

  fun invalidatesCache(method: String): Boolean =
    (
      method == "POST" || method == "PATCH" || method == "PUT" ||
        method == "DELETE" || method == "MOVE"
    )

  @JvmStatic // Despite being 'internal', this method is called by popular 3rd party SDKs.
  fun requiresRequestBody(method: String): Boolean =
    (
      method == "POST" || method == "PUT" ||

    }
}


private
fun IntegrationTest.addDebugProperties() {
    // TODO Move magic property out
    if (project.hasProperty("org.gradle.integtest.debug")) {
        systemProperties["org.gradle.integtest.debug"] = "true"
        testLogging.showStandardStreams = true
    }
    // TODO Move magic property out
    if (project.hasProperty("org.gradle.integtest.verbose")) {

"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.
-->

<project>
    <!-- once we move past supporting modelVersion 4.0.0 we should update this version -->
    <modelVersion>3.9.9</modelVersion>
    <groupId>tests.project</groupId>
    <artifactId>past-model-version</artifactId>
    <version>1</version>

      info->ops[index].scheme,
      std::make_unique<tensorflow::ModularFileSystem>(
          std::move(filesystem), std::move(core_filesystem_ops),
          std::move(core_random_access_file_ops),
          std::move(core_writable_file_ops),
          std::move(core_read_only_memory_region_ops),
          info->plugin_memory_allocate, info->plugin_memory_free));
}

  if (av_tensor == nullptr) {
    TF_ASSIGN_OR_RETURN(
        *tensor, MakeTensorFromPjRtBuffer(tensor->dtype(), tensor->shape(),
                                          std::move(buffer)));
  } else {
    av_tensor->SetBuffer(std::move(buffer));
  }
  return absl::OkStatus();
}

absl::StatusOr<xla::PjRtCApiClient*> GetPjRtCApiClient(
    const DeviceType& device_type) {

      : device_(device),
        tensors_(std::move(tensors)),
        shape_(std::vector<int64_t>(shape.begin(), shape.end())),
        dtype_(dtype) {}
  ParallelTensor(const ParallelDevice& device,
                 std::vector<TensorHandlePtr> tensors, const TF_DataType dtype)
      : device_(device),
        tensors_(std::move(tensors)),
        shape_(absl::nullopt),
        dtype_(dtype) {}