*/
  @get:JvmName("noCache") val noCache: Boolean,
  /** If true, this response should not be cached. */
  @get:JvmName("noStore") val noStore: Boolean,
  /** The duration past the response's served date that it can be served without validation. */
  @get:JvmName("maxAgeSeconds") val maxAgeSeconds: Int,
  /**
   * The "s-maxage" directive is the max age for shared caches. Not to be confused with "max-age"

          if (!response.isSuccessful) throw IOException("Unexpected code $response")

          println("Server: ${response.header("Server")}")
          println("Date: ${response.header("Date")}")
          println("Vary: ${response.headers("Vary")}")
        }
      }
    ```

=== ":material-language-java: Java"
    ```java

   * out.
   */
  long timeoutMillis() {
    return SHORT_DELAY_MS / 4;
  }

  /** Returns a new Date instance representing a time delayMillis milliseconds in the future. */
  Date delayedDate(long delayMillis) {
    return new Date(System.currentTimeMillis() + delayMillis);
  }

  /** The first exception encountered if any threadAssertXXX method fails. */

    defaultDelay: Int,
  ): Int {
    val header = userResponse.header("Retry-After") ?: return defaultDelay

    // https://tools.ietf.org/html/rfc7231#section-7.1.3
    // currently ignores a HTTP-date, and assumes any non int 0 is a delay
    if (header.matches("\\d+".toRegex())) {
      return Integer.valueOf(header)
    }
    return Integer.MAX_VALUE
  }

  companion object {
    /**

potentially exploit a vulnerability in the TensorFlow code that handles videos,
which could allow them to execute arbitrary code on the system running
TensorFlow.

It is important to keep TensorFlow up to date with the latest security patches
and follow the sandboxing guideline above to protect against these types of
vulnerabilities.

## Security properties of execution modes

Bạn viết chuẩn Python với kiểu dữ liệu như sau:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sau đó có thể được sử dụng:

```Python

编写带有类型标注的标准 Python：

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像这样来使用：

```Python

        } catch (IOException e) {
            LOGGER.warn(
                    "An I/O error occurred while checking if the packaged artifact is up-to-date "
                            + "against the build output directory. "
                            + "Continuing with the assumption that it is up-to-date.",
                    e);
            return true;
        }
    }

				return decoder.decode(new DataView(this._inst.exports.mem.buffer, saddr, len));
			}

			const testCallExport = (a, b) => {
				return this._inst.exports.testExport(a, b);
			}

			const timeOrigin = Date.now() - performance.now();
			this.importObject = {
				_gotest: {
					add: (a, b) => a + b,
					callExport: testCallExport,
				},
				gojs: {

import java.net.PasswordAuthentication;
import java.net.Proxy;
import java.net.Proxy.Type;
import java.net.SocketAddress;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Date;
import java.util.Enumeration;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Set;