}

// Also unacceptable
String value = getSomeProperty().getOrElse("convention")

// This should be always:
String value = getSomeProperty().get()
```

## Status

ACCEPTED

## Consequences

# Maintenance Mode

**This project is currently under maintenance and is not accepting new changes.**

- The codebase is in a maintenance-only state
- No new features, enhancements, or pull requests will be accepted
- Critical security fixes may be evaluated on a case-by-case basis
- Existing issues and pull requests will not be actively reviewed
- Community support continues on a best-effort basis through [Slack](https://slack.min.io)

            break;
        }
    }

    /**
     * Accepts the HTTP method.
     * @param request The HTTP request.
     * @param methods The accepted methods.
     * @return true if the method is accepted, false otherwise.
     */
    protected boolean acceptHttpMethod(final HttpServletRequest request, final String... methods) {

 * your server's TLS administrator!
 *
 * ### Note about self-signed certificates
 *
 * [CertificatePinner] can not be used to pin self-signed certificate if such certificate is not
 * accepted by [javax.net.ssl.TrustManager].
 *
 * See also [OWASP: Certificate and Public Key Pinning][owasp].
 *
 * [charles]: http://charlesproxy.com
 * [fiddler]: http://fiddlertool.com
 * [langley]: http://goo.gl/AIx3e5

        // Null treeConnection throws NPE when acquire() is called
        assertThrows(NullPointerException.class, () -> new SmbTreeHandleImpl(resourceLoc, null));
    }

    @Test
    @DisplayName("Null resourceLoc is accepted but may cause issues later")
    void constructorNullResourceLoc() {
        // Null resourceLoc doesn't throw NPE immediately - it's stored and may cause issues when used
        // This test documents the current behavior

discussion, and please direct specific questions to
[Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).**

The TensorFlow project strives to abide by generally accepted best practices in
open-source software development.

## Patching guidelines

Follow these steps to patch a specific version of TensorFlow, for example, to
apply fixes to bugs or security vulnerabilities:

      }
    }
  }

  @Throws(IOException::class)
  fun flush() {
    writer.flush()
  }

  /**
   * Degrades this connection such that new streams can neither be created locally, nor accepted
   * from the remote peer. Existing streams are not impacted. This is intended to permit an endpoint
   * to gracefully stop accepting new requests without harming previously established streams.
   */

    level = DeprecationLevel.ERROR,
  )
  fun code(): Int = code

  /**
   * Returns true if the code is in [200..300), which means the request was successfully received,
   * understood, and accepted.
   */
  val isSuccessful: Boolean = code in 200..299

  @JvmName("-deprecated_message")
  @Deprecated(
    message = "moved to val",
    replaceWith = ReplaceWith(expression = "message"),

     * <code>NtlmPasswordAuthentication</code> object against the domain controller
     * specified by the <code>UniAddress</code> parameter. If the credentials are
     * not accepted, an <code>SmbAuthException</code> will be thrown. If an error
     * occurs an <code>SmbException</code> will be thrown. If the credentials are
     * valid, the method will return without throwing an exception. See the

* Before the PR is applied, the new tests should fail.
* After applying the PR, the new tests should pass.
* Coverage should stay at 100%.
* If you see the PR makes sense, or we discussed it and considered it should be accepted, you can add commits on top of the PR to tweak it, to add docs, tests, format, refactor, remove extra files, etc.
* Feel free to comment in the PR to ask for more information, to suggest changes, etc.