*/
    @SuppressWarnings("static-access")
    @Test
    public void testFormat() {
        exception.expect(ClIllegalArgumentException.class);
        exception.expectMessage(is("[ECL0009]argument[AUTL0009] is illegal. because messageCode : AUTL0009."));
        Logger.format("AUTL0009", "hoge");
    }

    /**
     * Test of constructor, of class SmbShareInfo.
     */
    @Test
    void testConstructor() {
        // Test no-argument constructor
        SmbShareInfo instance = new SmbShareInfo();
        assertNotNull(instance);

        // Test constructor with arguments
        String netName = "SHARE";
        int type = 1;
        String remark = "remark";
        instance = new SmbShareInfo(netName, type, remark);

## Add `dependencies` to the *path operation decorator* { #add-dependencies-to-the-path-operation-decorator }

The *path operation decorator* receives an optional argument `dependencies`.

It should be a `list` of `Depends()`:

{* ../../docs_src/dependencies/tutorial006_an_py310.py hl[19] *}

	"os"
	"path/filepath"
	"strings"
)

var (
	Debug      = flag.Bool("debug", false, "dump instructions as they are parsed")
	OutputFile = flag.String("o", "", "output file; default foo.o for /a/b/c/foo.s as first argument")
	TrimPath   = flag.String("trimpath", "", "remove prefix from recorded source file paths")
	Shared     = flag.Bool("shared", false, "generate code that can be linked into a shared library")

# input the branch name and paste the cherry-pick commit and click Run. A PR
# will be created.

name: Release Branch Cherrypick
on:
  workflow_dispatch:
    inputs:
      # We use this instead of the "run on branch" argument because GitHub looks
      # on that branch for a workflow.yml file, and we'd have to cherry-pick
      # this file into those branches.
      release_branch:
        description: 'Release branch name (e.g. r2.9)'

      newChars[i] = toLowerCase(chars.charAt(i));
    }
    return String.valueOf(newChars);
  }

  /**
   * If the argument is an {@linkplain #isUpperCase(char) uppercase ASCII character}, returns the
   * lowercase equivalent. Otherwise returns the argument.
   */
  public static char toLowerCase(char c) {
    return isUpperCase(c) ? (char) (c ^ CASE_MASK) : c;
  }

  /**

*   Extends `tf.keras.layers.Lambda` layers to support multi-argument lambdas,
    and keyword arguments when calling the layer.
*   Functional models now get constructed if *any* tensor in a layer call's
    arguments/keyword arguments comes from a keras input. Previously the
    functional api would only work if all of the elements in the first argument
    to the layer came from a keras input.

					save(line)
					record = true
				} else {
					skip = true
				}
			}
		}
	}

	return ret, nil
}

const helpUsage = `

At least one argument is required to run this tool.

EXAMPLE:
     ./pprofgoparser --time 50m --margin 1m /path/to/*-goroutines-before,debug=2.txt
`

func main() {
	flag.Parse()

	if len(flag.Args()) == 0 {

        List<Throwable> errors = new ArrayList<>();
        errors.add(new Exception("Exception error"));
        errors.add(new RuntimeException("Runtime error"));
        errors.add(new IllegalArgumentException("Illegal argument error"));

        SuggestDeleteResponse response = new SuggestDeleteResponse(errors, 150);

        assertTrue(response.hasError());
        assertEquals(3, response.getErrors().size());

    /** Constructor */
    protected final Constructor<?> constructor;

    /** Array of constructor parameter types */
    protected final Class<?>[] parameterTypes;

    /** Information about parameterized argument types */
    protected final ParameterizedClassDesc[] parameterizedClassDescs;

    /**
     * Constructs an instance.
     *
     * @param beanDesc