// Handle decimal numbers
                    if (word.matches("\\d+") && startOffset > 0 && text.charAt(startOffset - 1) == '.') {
                        continue;
                    }

                    TestAnalyzeToken token = new TestAnalyzeToken(word, position++, startOffset, endOffset, 1, // positionIncrement
                            "<ALPHANUM>", Collections.emptyMap());

   *       RuntimeException} (though {@code get} implementations are discouraged from throwing such
   *       exceptions).
   * </ul>
   *
   * <p>The overall principle is to continue to treat every checked exception as a checked
   * exception, every unchecked exception as an unchecked exception, and every error as an error. In

     * a no-op. We could log, but if that's what we really want, we should modify
     * AbstractFuture.executeListener to do so, since that method would have the ability to continue
     * to execute other listeners.
     *
     * What about RuntimeException? If there is a bug in set()/setValue() that produces one, it will

				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)))

        // are handled in the switch statement's default case which continues the loop
        byte[] data = new byte[] { 1, 2 };

        // Use a type that's not SESSION_MESSAGE or SESSION_KEEP_ALIVE
        byte[] unknownHeader = new byte[] { (byte) 0x90, 0, 0, 0 };

        byte[] fullData = concat(unknownHeader, // Unknown packet type - will continue to next packet
                messageHeader(2), data);

    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,

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()
	}

		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)

		}) {
			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) {

      return 0;
    }

    outer:
    for (int i = 0; i < array.length - target.length + 1; i++) {
      for (int j = 0; j < target.length; j++) {
        if (array[i + j] != target[j]) {
          continue outer;
        }
      }
      return i;
    }
    return -1;
  }

  /**
   * Returns the index of the last appearance of the value {@code target} in {@code array}.
   *