}
        }
        return false;
    }

    public boolean hasRestrictions() {
        return !restrictions.isEmpty() && recommendedVersion == null;
    }

    public boolean equals(Object obj) {
        if (this == obj) {
            return true;
        }
        if (!(obj instanceof VersionRange)) {
            return false;
        }

    protected static final String PREFIX = "curl4j-";

    protected static final String SUFFIX = ".tmp";

    protected boolean done = false;

    public ContentOutputStream(final int threshold, final File tmpDir) {
        super(threshold, PREFIX, SUFFIX, tmpDir);
    }

    @Override
    public File getFile() {
        done = true;

    return subjectCaCerts.firstOrNull {
      try {
        cert.verify(it.publicKey)
        return@firstOrNull true
      } catch (_: Exception) {
        return@firstOrNull false
      }
    }
  }

  override fun equals(other: Any?): Boolean {
    return other === this ||
      (other is BasicTrustRootIndex && other.subjectToCaCerts == subjectToCaCerts)
  }

            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,