// fully defined will avoid querying the shapes of the underlying
  // TensorHandles when ParallelTensor::Shape is called. This allows async
  // computation to continue without blocking.
  //
  // The return status and value is the same as `Execute`.
  absl::optional<std::vector<std::unique_ptr<ParallelTensor>>> Join(
      const std::vector<PartialTensorShape>& expected_output_shapes,

      char c2 = s2.charAt(i);
      if (c1 == c2) {
        continue;
      }
      int alphaIndex = getAlphaIndex(c1);
      // This was also benchmarked using '&' to avoid branching (but always evaluate the rhs),
      // however this showed no obvious improvement.
      if (alphaIndex < 26 && alphaIndex == getAlphaIndex(c2)) {
        continue;
      }
      return false;
    }
    return true;
  }

		gotValid := validateSparseEntries(v.in, v.size)
		if gotValid != v.wantValid {
			t.Errorf("test %d, validateSparseEntries() = %v, want %v", i, gotValid, v.wantValid)
		}
		if !v.wantValid {
			continue
		}
		gotAligned := alignSparseEntries(append([]sparseEntry{}, v.in...), v.size)
		if !slices.Equal(gotAligned, v.wantAligned) {
			t.Errorf("test %d, alignSparseEntries():\ngot  %v\nwant %v", i, gotAligned, v.wantAligned)

    const Tensor& src = outputs[i];
    if (!src.IsInitialized() || src.NumElements() == 0) {
      c_outputs[i] =
          EmptyTensor(static_cast<TF_DataType>(src.dtype()), src.shape());
      continue;
    }
    c_outputs[i] = TF_TensorFromTensor(src, &status->status);
    if (!status->status.ok()) return;
  }
}

extern "C" {

void TF_Run(TF_DeprecatedSession* s, const TF_Buffer* run_options,

			objectInfos = append(objectInfos, obj)
			continue
		}

		// NoncurrentDays not passed yet.
		if time.Now().UTC().Before(lifecycle.ExpectedExpiryTime(obj.SuccessorModTime, event.NoncurrentDays)) {
			// add this version back to remaining versions for
			// subsequent lifecycle policy applications
			objectInfos = append(objectInfos, obj)
			continue
		}

		toDel = append(toDel, ObjectToDelete{

				hdr, err = tr.Next()
				if err != nil {
					if err == io.EOF {
						err = nil // Expected error
					}
					break
				}
				hdrs = append(hdrs, hdr)

				if v.chksums == nil {
					continue
				}
				h := crc32.NewIEEE()
				_, err = io.CopyBuffer(h, tr, rdbuf) // Effectively an incremental read
				if err != nil {
					break
				}
				chksums = append(chksums, fmt.Sprintf("%x", h.Sum(nil)))

func invertSparseEntries(src []sparseEntry, size int64) []sparseEntry {
	dst := src[:0]
	var pre sparseEntry
	for _, cur := range src {
		if cur.Length == 0 {
			continue // Skip empty fragments
		}
		pre.Length = cur.Offset - pre.Offset
		if pre.Length > 0 {
			dst = append(dst, pre) // Only add non-empty fragments
		}
		pre.Offset = cur.endOffset()
	}

		}) {
			t.Errorf("Contents not sorted")
		}
		for i := range xl.versions {
			hdr := xl.versions[i].header
			ver, err := xl.getIdx(i)
			if err != nil {
				t.Error(err)
				continue
			}
			gotHdr := ver.header()
			if hdr != gotHdr {
				t.Errorf("Header does not match, index: %+v != meta: %+v", hdr, gotHdr)
			}
		}
	}
	t.Run("load-legacy", func(t *testing.T) {

        .streamHandler(body)
        .build(),
    )
    val call =
      client.newCall(
        Request.Builder()
          .url(server.url("/"))
          .header("Expect", "100-continue")
          .post(AsyncRequestBody())
          .build(),
      )
    call.execute().use { response ->
      val requestBody = (call.request().body as AsyncRequestBody?)!!.takeSink()

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