}

    /**
     * Test of equals method, of class SmbShareInfo.
     */
    @Test
    void testEquals() {
        SmbShareInfo instance1 = new SmbShareInfo("SHARE1", 0, "remark1");
        SmbShareInfo instance2 = new SmbShareInfo("SHARE1", 1, "remark2");
        SmbShareInfo instance3 = new SmbShareInfo("SHARE2", 0, "remark1");
        Object notAShareInfo = new Object();

    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,

        DfsEnumArray200 dfsEnumArray = new DfsEnumArray200();
        dfsEnumArray.count = 2;
        dfsEnumArray.s = new DfsInfo200[2];
        dfsEnumArray.s[0] = new DfsInfo200();
        dfsEnumArray.s[0].dfs_name = "\\domain\share1";
        dfsEnumArray.s[1] = new DfsInfo200();
        dfsEnumArray.s[1].dfs_name = "\\domain\share2";

        // Manually set the DfsEnumArray200 to the info struct
        dfsRootEnum.info.e = dfsEnumArray;

  if (reader_ != nullptr) {
    status = reader_->GetTensor(name, out_tensor);
  } else {
    tensorflow::DataType dtype;
    tensorflow::TensorShape shape;
    status = v2_reader_->LookupDtypeAndShape(name, &dtype, &shape);
    if (status.ok()) {
      out_tensor->reset(new Tensor(dtype, shape));
      status = v2_reader_->Lookup(name, out_tensor->get());
      if (!status.ok()) out_tensor->reset();
    }
  }
  if (!status.ok()) {

    }

    @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

fi
if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then
  "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi
# Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing.

  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