throw new IOException("unexpected EOF reading netbios retarget session response");
        }
        int addr = readInt4(buffer, bufferIndex);
        bufferIndex += 4;
        new NbtAddress(null, addr, false, NbtAddress.B_NODE);
        readInt2(buffer, bufferIndex);
        return this.length;
    }

    }

    @Override
    public boolean equals(Object obj) {
        if (this == obj) {
            return true;
        }

        if (!(obj instanceof TypeArtifactFilter)) {
            return false;
        }

        TypeArtifactFilter other = (TypeArtifactFilter) obj;

        return type.equals(other.type);
    }

import static org.junit.jupiter.api.Assertions.assertTrue;

/**
 * Tests {@link AndArtifactFilter}.
 *
 */
class AndArtifactFilterTest {

    private ArtifactFilter newSubFilter() {
        return artifact -> false;
    }

    @Test
    void testEquals() {
        AndArtifactFilter filter1 = new AndArtifactFilter();

        AndArtifactFilter filter2 = new AndArtifactFilter(Arrays.asList(newSubFilter()));

    age: Union[int, None] = Field(default=None, index=True)
    secret_name: str


sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}
engine = create_engine(sqlite_url, connect_args=connect_args)


def create_db_and_tables():
    SQLModel.metadata.create_all(engine)


def get_session():
    with Session(engine) as session:

                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "required": False,
                            "schema": IsDict(
                                {
                                    "anyOf": [{"type": "string"}, {"type": "null"}],
                                    "title": "Ads Id",

                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "required": False,
                            "schema": {
                                "title": "Q",
                                "type": "array",
                                "items": {"type": "string"},

 *
 * I.e. if y = <output of the forward model> and w = inputs[input_index],
 * this will calculate dy/dw numerically.
 *
 * `use_function` indicates whether to use graph mode(true) or eager(false).
 *
 * `numerical_grad` is the pointer to the AbstractTensorHandle* which will
 * hold the numerical gradient data at the end of the function.
 */
absl::Status CalcNumericalGrad(AbstractContext* ctx, Model forward,

        this.numberOfSuggestDocs = numberOfSuggestDocs;
        this.numberOfInputDocs = numberOfInputDocs;
        this.took = took;
        if (errors == null || errors.isEmpty()) {
            hasError = false;
        } else {
            hasError = true;
            errors.forEach(this.errors::add);
        }
    }

    public int getNumberOfSuggestDocs() {
        return numberOfSuggestDocs;
    }

	// the BSD tar utility.
	if size < 0 {
		return false
	}
	var pre sparseEntry
	for _, cur := range sp {
		switch {
		case cur.Offset < 0 || cur.Length < 0:
			return false // Negative values are never okay
		case cur.Offset > math.MaxInt64-cur.Length:
			return false // Integer overflow with large length
		case cur.endOffset() > size:
			return false // Region extends beyond the actual size

@GwtIncompatible // SerializableTester
public class ReserializedSafeTreeMapMapInterfaceTest
    extends SortedMapInterfaceTest<String, Integer> {
  public ReserializedSafeTreeMapMapInterfaceTest() {
    super(false, true, true, true, true);
  }

  @Override
  protected SortedMap<String, Integer> makePopulatedMap() {
    NavigableMap<String, Integer> map = new SafeTreeMap<>();
    map.put("one", 1);
    map.put("two", 2);