*/
@Deprecated(since = "4.0.0")
public interface SettingsProblem {

    /**
     * The different severity levels for a problem, in decreasing order.
     */
    enum Severity {
        FATAL, //
        ERROR, //
        WARNING //
    }

    /**
     * Gets the hint about the source of the problem. While the syntax of this hint is unspecified and depends on the

       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   

	for scanner.Scan() {
		f := strings.Fields(scanner.Text())
		if len(f) < 3 {
			continue
		}
		syms[f[2]] = f[0]
	}
	if err := scanner.Err(); err != nil {
		t.Fatalf("error reading symbols: %v", err)
	}
	return syms
}

func runAddr2Line(t *testing.T, dbgExePath, addr string) (funcname, path, lineno string) {
	cmd := testenv.Command(t, testenv.Executable(t), dbgExePath)

    replaceWith = ReplaceWith(expression = "tlsVersions"),
    level = DeprecationLevel.ERROR,
  )
  fun tlsVersions(): List<TlsVersion>? = tlsVersions

  @JvmName("-deprecated_supportsTlsExtensions")
  @Deprecated(
    message = "moved to val",
    replaceWith = ReplaceWith(expression = "supportsTlsExtensions"),
    level = DeprecationLevel.ERROR,
  )
  fun supportsTlsExtensions(): Boolean = supportsTlsExtensions

    @AfterClass
    public static void closeContexts () throws CIFSException {
        for ( Entry<String, CIFSContext> ctx : CONTEXT_CACHE.entrySet() ) {
            if ( ctx.getValue().close() ) {
                log.error("Context was still in use " + ctx.getKey());
            }
        }
    }


    static CIFSContext getCachedContext ( String context, Properties props ) throws CIFSException {

   * TODO description.
   *
   * No further calls to this listener will be made.
   */
  open fun onClosed(eventSource: EventSource) {
  }

  /**
   * Invoked when an event source has been closed due to an error reading from or writing to the
   * network. Incoming events may have been lost. No further calls to this listener will be made.
   */
  open fun onFailure(
    eventSource: EventSource,
    t: Throwable?,

package ioutil

import (
	"io"
	"os"

	"github.com/minio/minio/internal/lock"
)

// AppendFile - appends the file "src" to the file "dst"
func AppendFile(dst string, src string, osync bool) error {
	appendFile, err := lock.Open(dst, os.O_WRONLY|os.O_APPEND|os.O_CREATE, 0o666)
	if err != nil {
		return err
	}
	defer appendFile.Close()

	srcFile, err := lock.Open(src, os.O_RDONLY, 0o666)
	if err != nil {

                return violationError(member);
            }
        }
        return null;
    }

    private Violation violationError(JApiCompatibility member) {
        return acceptOrReject(member, Violation.error(member, "Is not annotated with @Incubating"));
    }

  // +optional
  optional VolumeError detachError = 4;
}

// VolumeError captures an error encountered during a volume operation.
message VolumeError {
  // time represents the time the error was encountered.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.Time time = 1;

  // message represents the error encountered during Attach or Detach operation.

 * it delegates to other components that potentially encounter problems. Then, the problem reporter can focus on
 * providing a simple error message, leaving the donkey work of creating a nice model problem to this component.
 *
 */
public interface ModelProblemCollector {

    /**
     * The collected problems.