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.
//

        // Create real ShareInfo1 objects instead of mocks
        srvsvc.ShareInfo1 shareInfo1 = new srvsvc.ShareInfo1();
        shareInfo1.netname = "Share1";
        shareInfo1.type = 0;
        shareInfo1.remark = "Remark for Share1";

        srvsvc.ShareInfo1 shareInfo2 = new srvsvc.ShareInfo1();
        shareInfo2.netname = "Share2";
        shareInfo2.type = 1;

        assertEquals(2, response.results.length, "Should have 2 share entries.");

        SmbShareInfo share1 = (SmbShareInfo) response.results[0];
        assertEquals("SHARE1", share1.getName().trim(), "Share 1 name should be correct.");
        assertEquals(0, share1.type, "Share 1 raw type should be 0.");
        assertEquals("Remark 1", share1.remark.trim(), "Share 1 remark should be correct.");

    }

    /**
     * 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();

        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;

"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
if [[ "$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.

        // Session starts with usage count > 0
        assertTrue(session.isInUse(), "Session should be in use initially");

        // Create and release trees
        SmbTreeImpl tree = session.getSmbTree("share1", null);
        assertNotNull(tree, "Tree should be created");
        tree.release();

        // Release the session (back to initial state)
        session.release();

      return samples;
    }

    @Override
    public Set<V> create(Object... elements) {
      @SuppressWarnings("unchecked")
      V[] valuesArray = (V[]) 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 value

    @Test
    @DisplayName("Handler correctly identifies itself as SMB handler")
    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);

      }
    };
    ;

    abstract byte[] hash(Algorithm algorithm, byte[] input);
  }

  private enum Algorithm {
    MD5("MD5", Hashing.md5()),
    SHA_1("SHA-1", Hashing.sha1()),
    SHA_256("SHA-256", Hashing.sha256()),
    SHA_384("SHA-384", Hashing.sha384()),
    SHA_512("SHA-512", Hashing.sha512());

    private final String algorithmName;