var i = 4
          val limit = minOf(a.length, b.length)
          while (i < limit) {
            val charA = a[i]
            val charB = b[i]
            if (charA != charB) return if (charA < charB) -1 else 1
            i++
          }
          val lengthA = a.length
          val lengthB = b.length
          if (lengthA != lengthB) return if (lengthA < lengthB) -1 else 1
          return 0
        }
      }

        values_vector.reserve(s_size);
        absl::InlinedVector<size_t, 4> lengths_vector;
        lengths_vector.reserve(s_size);
        for (int i = 0; i < s_size; ++i) {
          const string& v = default_value.list().s(i);
          values_vector.push_back(v.data());
          lengths_vector.push_back(v.size());
        }
        TFE_OpSetAttrStringList(op, attr_name, values_vector.data(),

  const std::string merge_op("Add");
  TFE_OpSetAttrString(op.get(), "merge_op", merge_op.c_str(),
                      merge_op.length());
  const std::string final_op("Id");
  TFE_OpSetAttrString(op.get(), "final_op", final_op.c_str(),
                      final_op.length());
  TFE_OpSetAttrIntList(op.get(), "subdiv_offsets", nullptr, 0);

  TFE_OpAddInput(op.get(), input, status);

  }

  public void testToArray_threadSafe() {
    // Only for booleans, we lengthen VALUES
    boolean[] VALUES = BooleansTest.VALUES;
    VALUES = Booleans.concat(VALUES, VALUES);

    for (int delta : new int[] {+1, 0, -1}) {
      for (int i = 0; i < VALUES.length; i++) {
        List<Boolean> list = Booleans.asList(VALUES).subList(0, i);

  }

  public void testToArray_threadSafe() {
    // Only for booleans, we lengthen VALUES
    boolean[] VALUES = BooleansTest.VALUES;
    VALUES = Booleans.concat(VALUES, VALUES);

    for (int delta : new int[] {+1, 0, -1}) {
      for (int i = 0; i < VALUES.length; i++) {
        List<Boolean> list = Booleans.asList(VALUES).subList(0, i);

		offset:     uint64(w.cw.count),
	}

	if strings.HasSuffix(fh.Name, "/") {
		// Set the compression method to Store to ensure data length is truly zero,
		// which the writeHeader method always encodes for the size fields.
		// This is necessary as most compression formats have non-zero lengths
		// even when compressing an empty string.
		fh.Method = Store
		fh.Flags &^= 0x8 // we will not write a data descriptor

      } else {
        // Generalize differing axis lengths to "variable"/"unknown".
        for (int axis_index = 0; axis_index < combined_shape.dims();
             ++axis_index) {
          int64_t axis_length = combined_shape.dim_size(axis_index);
          if (axis_length != component_shape.dim_size(axis_index)) {
            axis_length = -1;
          }
          TF_RETURN_IF_ERROR(

                      const void* value, size_t length) {
  tensorflow::StringPiece s(static_cast<const char*>(value), length);
  desc->node_builder.Attr(attr_name, s);
}

void TF_SetAttrStringList(TF_OperationDescription* desc, const char* attr_name,
                          const void* const* values, const size_t* lengths,
                          int num_values) {

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
// `ranks[i] == 1`, then `shapes[i]` may be nullptr.
//

	}
}

func TestCompareBytes(t *testing.T) {
	lengths := make([]int, 0) // lengths to test in ascending order
	for i := 0; i <= 128; i++ {
		lengths = append(lengths, i)
	}
	lengths = append(lengths, 256, 512, 1024, 1333, 4095, 4096, 4097)

	if !testing.Short() {
		lengths = append(lengths, 65535, 65536, 65537, 99999)
	}

	n := lengths[len(lengths)-1]
	a := make([]byte, n+1)
	b := make([]byte, n+1)