pycharm-completion.png...

vscode-completion.png...

                            plan.step(p, BEFORE + n2).ifPresent(before::executeBefore);
                            // 2. Parent's phase completion waits for child's phase completion
                            plan.step(p, AFTER + n2).ifPresent(after::executeAfter);
                        });
                    }
                });
            });

  // have two requirements that significantly complicate their design.
  // 1. Cancellation should propagate from the returned future to the input future(s).
  // 2. The returned futures shouldn't unnecessarily 'pin' their inputs after completion.
  //
  // A consequence of these requirements is that the delegate futures cannot be stored in
  // final fields.
  //
  // For simplicity the rest of this description will discuss Futures.catching since it is the

* Add support for 3rd party objects to kubectl label ([#24882](https://github.com/kubernetes/kubernetes/pull/24882), [@brendandburns](https://github.com/brendandburns))
* Move shell completion generation into 'kubectl completion' command ([#23801](https://github.com/kubernetes/kubernetes/pull/23801), [@sttts](https://github.com/sttts))

                                                       TF_Operation* input);

// Changes an attr value in the node_def Protocol Buffer and sets a status upon
// completion.
TF_CAPI_EXPORT extern void TF_SetAttr(TF_Graph* graph, TF_Operation* op,
                                      const char* attr_name,
                                      TF_Buffer* attr_value_proto,

	go func() {
		defer close(errCh)
		// Merge all entries from all disks.
		// We leave quorum at 1, since entries are already resolved to have the desired quorum.
		// mergeEntryChannels will close 'merged' channel upon completion or cancellation.
		errCh <- mergeEntryChannels(ctx, entries, merged, 1)
	}()

	return nil
}

// HealObjectFn closure function heals the object.

# Set lld as the linker.
common:cuda_clang --host_linkopt="-fuse-ld=lld"
common:cuda_clang --host_linkopt="-lm"
common:cuda_clang --linkopt="-fuse-ld=lld"
common:cuda_clang --linkopt="-lm"

# Set up compilation CUDA version and paths and use the CUDA Clang toolchain.
common:cuda_clang_official --config=cuda_clang
common:cuda_clang_official --config=cuda_version

# Build with nvcc for CUDA and clang for host

    return op;
  }

  // All the *Helper methods are used as a workaround for the restrictions that
  // one cannot call ASSERT_* methods in non-void-returning functions (when
  // exceptions are disabled during compilation)
  void UseHelper(const std::vector<TF_Output>& inputs, TF_Operation** op) {
    TF_OperationDescription* desc =
        TF_NewOperation(host_graph_, func_name_, func_node_name_);
    for (auto input : inputs) {

	if partNumberMarker != "" {
		queryValues.Set("part-number-marker", partNumberMarker)
	}
	return makeTestTargetURL(endPoint, bucketName, objectName, queryValues)
}

// return URL for completing multipart upload.
// complete multipart upload request is sent after all parts are uploaded.
func getCompleteMultipartUploadURL(endPoint, bucketName, objectName, uploadID string) string {
	queryValue := url.Values{}