const size_t* lengths,
                                 int num_values) override {
    if (strcmp(attr_name, tensorflow::kColocationAttrName) == 0) {
      op_->colocation_constraints.clear();
      for (int i = 0; i < num_values; ++i) {
        op_->colocation_constraints.emplace(static_cast<const char*>(values[i]),
                                            lengths[i]);
      }
    } else {

					t.Errorf("Test %d: read returns wrong file content", i)
				}
			}
		}
	}
}

// Test erasureDecode with random offset and lengths.
// This test is t.Skip()ed as it a long time to run, hence should be run
// explicitly after commenting out t.Skip()
func TestErasureDecodeRandomOffsetLength(t *testing.T) {
	if testing.Short() {
		t.Skip()
	}

                               int num_values, ForwardOperation* forward_op_) {
  std::vector<StringPiece> v(num_values);
  for (int i = 0; i < num_values; ++i) {
    v[i] = StringPiece(static_cast<const char*>(values[i]), lengths[i]);
  }
  forward_op_->attrs.Set(attr_name, v);
  return op_->SetAttrStringList(attr_name, values, lengths, num_values);
}

                    unfiltered.add("yyy");
                    unfiltered.addAll(ImmutableList.copyOf(elements));
                    unfiltered.add("zzz");
                    return Sets.filter(unfiltered, Collections2Test.LENGTH_1);
                  }
                })
            .named("Sets.filter, no nulls")
            .withFeatures(
                CollectionFeature.SUPPORTS_ADD,
                CollectionFeature.SUPPORTS_REMOVE,

                           AbstractTensorInterface* tensor, ForwardOperation*);
absl::Status SetAttrStringList(AbstractOperation*, const char* attr_name,
                               const void* const* values, const size_t* lengths,
                               int num_values, ForwardOperation*);
absl::Status SetAttrFloatList(AbstractOperation*, const char* attr_name,
                              const float* values, int num_values,

    output[1] = seedB + c;
  }

  /*
   * Compute an 8-byte hash of a byte array of length greater than 64 bytes.
   */
  private static long fullFingerprint(byte[] bytes, int offset, int length) {
    // For lengths over 64 bytes we hash the end first, and then as we
    // loop we keep 56 bytes of state: v, w, x, y, and z.
    long x = load64(bytes, offset);
    long y = load64(bytes, offset + length - 16) ^ K1;

		}
		buf.WriteByte('\n')
	}
}

// Test the line splitter, including some carriage returns but no long lines.
func TestScanLongLines(t *testing.T) {
	// Build a buffer of lots of line lengths up to but not exceeding smallMaxTokenSize.
	tmp := new(bytes.Buffer)
	buf := new(bytes.Buffer)
	lineNum := 0
	j := 0
	for i := 0; i < 2*smallMaxTokenSize; i++ {
		genLine(tmp, lineNum, j, true)

                                            const char* attr_name,
                                            const void* value, size_t length);
// `values` and `lengths` each must have lengths `num_values`.
// `values[i]` must point to a string of length `lengths[i]` bytes.
TF_CAPI_EXPORT extern void TF_SetAttrStringList(TF_OperationDescription* desc,
                                                const char* attr_name,

};
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

namespace tensorflow {

// Set the shapes and types of the output's handle.
//
// The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must
// all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the
// rank is known), then it must be equal to the length of `shapes[i]`; if

 */
public class Fingerprint2011Test extends TestCase {

  // Length of the sample string to produce
  private static final int MAX_BYTES = 1000;

  // Map from sample string lengths to the fingerprint
  private static final ImmutableSortedMap<Integer, Long> LENGTH_FINGERPRINTS =
      new ImmutableSortedMap.Builder<Integer, Long>(Ordering.natural())
          .put(1000, 0x433109b33e13e6edL)