TF_ShapeAndTypeList** shape_list_array, int num_items);

// Infer shapes for the given `op`. The arguments mimic the arguments of the
// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.

        populatedArray.count = 3;
        populatedArray.s = new netdfs.DfsInfo200[3];

        // Create DFS root entries
        String[] rootNames = { "share1", "share2", "share3" };
        for (int i = 0; i < 3; i++) {
            netdfs.DfsInfo200 entry = new netdfs.DfsInfo200();
            entry.dfs_name = rootNames[i];
            populatedArray.s[i] = entry;
        }

    ShapeHandle shape_handle = c.output(i);
    TF_ShapeAndType& shape = output_shapes_result->items[i];
    shape.num_dims = c.Rank(shape_handle);
    if (shape.num_dims == InferenceContext::kUnknownRank) {
      shape.dims = nullptr;
      continue;
    }
    shape.dims = new int64_t[shape.num_dims];
    for (size_t j = 0; j < shape.num_dims; ++j) {
      shape.dims[j] = c.Value(c.Dim(shape_handle, j));
    }
  }

  CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_);

  // Infer shape when everything is known.
  CheckOutputShapes(matmul_op,
                    /*input_shapes*/ {make_shape({3, 2}), make_shape({2, 4})},
                    /*input_tensors*/ {},
                    /*expected_shape*/ make_shape({3, 4}));

  // Infer shape when second operand has unknown shape.
  CheckOutputShapes(matmul_op,

    }

    @Test
    @DisplayName("Test equals method with same netName")
    void testEqualsWithSameNetName() {
        SmbShareInfo info1 = new SmbShareInfo("Share1", 0, "Remark1");
        SmbShareInfo info2 = new SmbShareInfo("Share1", 1, "Remark2");

        // Same netName, different type and remark
        assertTrue(info1.equals(info2));
        assertTrue(info2.equals(info1));
    }

    @Test

        srvsvc.ShareInfoCtr0 ctr0 = new srvsvc.ShareInfoCtr0();
        ctr0.count = 2;
        ctr0.array = new srvsvc.ShareInfo0[2];
        ctr0.array[0] = new srvsvc.ShareInfo0();
        ctr0.array[0].netname = "Share1";
        ctr0.array[1] = new srvsvc.ShareInfo0();
        ctr0.array[1].netname = "Share2";

        // Set up mocks
        mockDeferredBuffer.index = 0; // Set field directly

  TF_AddInput(desc, r);
  return TF_FinishOperation(desc, s);
}

TF_Operation* RandomUniform(TF_Operation* shape, TF_DataType dtype,
                            TF_Graph* graph, TF_Status* s) {
  TF_OperationDescription* desc =
      TF_NewOperation(graph, "RandomUniform", "random_uniform");
  TF_AddInput(desc, {shape, 0});
  TF_SetAttrType(desc, "dtype", dtype);
  return TF_FinishOperation(desc, s);
}

    void testResourceCreationConsistency() throws CIFSException {
        // Test that resource creation works consistently
        String[] validUrls = { "smb://server1/share1/", "smb://server2/share2/file.txt" };

        for (String validUrl : validUrls) {
            // When
            SmbResource resource = context.get(validUrl);

            // Then

    }

    @Test
    @DisplayName("Test readDataWireFormat with single share")
    void testReadDataWireFormatSingleShare() throws Exception {
        // Prepare test data
        String shareName = "SHARE1";
        int shareType = 0x00000000; // Disk share
        String remark = "Test share";

        // Calculate buffer size
        int shareNameSize = 14; // 13 bytes + null terminator (fixed field)

      return samples;
    }

    @Override
    public Set<K> create(Object... elements) {
      @SuppressWarnings("unchecked")
      K[] keysArray = (K[]) elements;

      // Start with a suitably shaped collection of entries
      Collection<Entry<K, V>> originalEntries = mapGenerator.getSampleElements(elements.length);

      // Create a copy of that, with the desired value for each key