const int64_t* dims, int num_dims) {
  DCHECK(index >= 0 && index < shape_list->num_items);
  TF_ShapeAndType& shape = shape_list->items[index];
  DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!";
  DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!";
  shape.num_dims = num_dims;
  shape.dims = new int64_t[num_dims];
  memcpy(shape.dims, dims, sizeof(int64_t) * num_dims);

TEST(CAPI, TestTensorNonScalarBytesAllocateDelete) {
  const int batch_size = 4;
  const int num_dims = 2;
  int64_t* dims = new int64_t[num_dims];
  int64_t num_elements = 1;
  dims[0] = batch_size;
  dims[1] = 1;
  for (int64_t i = 0; i < num_dims; ++i) {
    num_elements *= dims[i];
  }
  TF_Tensor* t = TF_AllocateTensor(TF_STRING, dims, num_dims,
                                   sizeof(TF_TString) * num_elements);

tensorflow::shape_inference::ShapeHandle ShapeHandleFromDims(
    tensorflow::shape_inference::InferenceContext* ic, int num_dims,
    const int64_t* dims) {
  if (num_dims != -1) {
    std::vector<tensorflow::shape_inference::DimensionHandle> dim_vec;
    dim_vec.reserve(num_dims);
    for (int i = 0; i < num_dims; ++i) {
      dim_vec.push_back(ic->MakeDim(dims[i]));
    }
    return ic->MakeShape(dim_vec);
  } else {

    LsarSidArrayX(final jcifs.SID[] sids) {
        this.num_sids = sids.length;
        this.sids = new lsarpc.LsarSidPtr[sids.length];
        for (int si = 0; si < sids.length; si++) {
            this.sids[si] = new lsarpc.LsarSidPtr();
            this.sids[si].sid = sids[si].unwrap(sid_t.class);
        }
    }

    LsarSidArrayX(final SID[] sids) {
        this.num_sids = sids.length;

        jcifs.SID[] sids = { mockSid1, mockSid2 };
        LsarSidArrayX lsarSidArrayX = new LsarSidArrayX(sids);

        // Verify num_sids
        assertEquals(2, lsarSidArrayX.num_sids, "num_sids should match the array length");

        // Verify sids array and its contents
        assertNotNull(lsarSidArrayX.sids, "sids array should not be null");

        lsarpc.LsarSidArray decodedArray = new lsarpc.LsarSidArray();
        decodedArray.decode(decodeBuffer);

        // Verify the decoded data matches
        assertEquals(sidArray.num_sids, decodedArray.num_sids);
        assertNotNull(decodedArray.sids);
        assertEquals(2, decodedArray.sids.length);

        // Verify first SID
        assertNotNull(decodedArray.sids[0]);

package jcifs.smb1.dcerpc.msrpc;

import jcifs.smb1.smb1.SID;

class LsarSidArrayX extends lsarpc.LsarSidArray {

    LsarSidArrayX(final SID[] sids) {
        this.num_sids = sids.length;
        this.sids = new lsarpc.LsarSidPtr[sids.length];
        for (int si = 0; si < sids.length; si++) {
            this.sids[si] = new lsarpc.LsarSidPtr();
            this.sids[si].sid = sids[si];
        }
    }

        }

        /** Number of SIDs in the array. */
        public int num_sids;
        /** Array of SID pointers. */
        public LsarSidPtr[] sids;

        @Override
        public void encode(NdrBuffer _dst) throws NdrException {
            _dst.align(4);
            _dst.enc_ndr_long(this.num_sids);
            _dst.enc_ndr_referent(this.sids, 1);

            if (this.sids != null) {

        sidArray.num_sids = 2;
        sidArray.sids = new lsarpc.LsarSidPtr[2];
        sidArray.sids[0] = mock(lsarpc.LsarSidPtr.class);
        sidArray.sids[1] = mock(lsarpc.LsarSidPtr.class);

        sidArray.encode(mockNdrBuffer);

        verify(mockNdrBuffer).align(4);
        verify(mockNdrBuffer).enc_ndr_long(sidArray.num_sids);

        }

        /** Number of SIDs in the array. */
        public int num_sids;
        /** Array of SID pointers. */
        public LsarSidPtr[] sids;

        @Override
        public void encode(NdrBuffer _dst) throws NdrException {
            _dst.align(4);
            _dst.enc_ndr_long(num_sids);
            _dst.enc_ndr_referent(sids, 1);

            if (sids != null) {