System.out.println("test" + i);
        }
        final long sysout = System.currentTimeMillis() - start;
        start = System.currentTimeMillis();
        for (int i = 0; i < num; i++) {
            logger.fatal("test" + i);
        }
        final long logger = System.currentTimeMillis() - start;
        System.out.println("System.out:" + sysout);
        System.out.println("logger:" + logger);
    }

    /**

            when(mockInetAddress.getHostName()).thenReturn("myhost.domain.com");
            UniAddress uniAddress = new UniAddress(mockInetAddress);
            assertEquals("MYHOST", uniAddress.firstCalledName());
        }

        @Test

StandardCrawlerContainer container = new StandardCrawlerContainer();

// Configure HTTP client with custom settings
container.singleton("httpClient", HcHttpClient.class, client -> {
    client.setUserAgent("MyBot/1.0");
    client.setConnectionTimeout(30000);
    client.setMaxConnections(100);
});

// Configure URL filtering
container.singleton("urlFilter", UrlFilterImpl.class, filter -> {

```sh
[req]
distinguished_name = req_distinguished_name
x509_extensions = v3_req
prompt = no

[req_distinguished_name]
C = US
ST = VA
L = Somewhere
O = MyOrg
OU = MyOU
CN = MyServerName

[v3_req]
subjectAltName = @alt_names

[alt_names]
IP.1 = 127.0.0.1
DNS.1 = localhost
```

### Bug Fixes and Other Changes

* `tf.py_function` and `tf.numpy_function` can now be used as function decorators for clearer code:
   ```
   @tf.py_function(Tout=tf.float32)
   def my_fun(x):
     print("This always executes eagerly.")
     return x+1
   ```

* `tf.lite`
    * Strided_Slice now supports `UINT32`.

* `tf.config.experimental.enable_tensor_float_32_execution`