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;

        // When
        FileEntry[] entries = dfsRootEnum.getEntries();

        // Then

    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();

        assertTrue(instance1.equals(instance2)); // Should be equal based on netName
        assertFalse(instance1.equals(instance3)); // Should not be equal

  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()) {

            // Setup second referral
            DfsReferralDataImpl second = new DfsReferralDataImpl();
            when(mockReferral.getNode()).thenReturn("\\server2\\share2\\path2");
            second = DfsReferralDataImpl.fromReferral(mockReferral, "\\\\server2\\share2\\path2", System.currentTimeMillis() + 20000, 15);
            second.setDomain("DOMAIN");

            // Combine

        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
        mockDeferredBuffer.deferred = mockDeferredBuffer;

        ctr0.encode(mockNdrBuffer);

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

    void testHandlerEquality() throws Exception {
        // Create two URLs with the same handler
        URL url1 = new URL(null, "smb://host1/share1", handler);
        URL url2 = new URL(null, "smb://host2/share2", handler);

        // Both should use the same handler instance
        assertNotNull(url1);
        assertNotNull(url2);

        // Protocol should be consistent

inspected and debugged and it is intended to be used during the development
phase.

As part of the differences that make Eager mode easier to debug, the [shape
inference
functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface)
are skipped, and any checks implemented inside the shape inference code are not
executed.

The security impact of skipping those checks should be low, since the attack