// Now we hit the cap
    assertEquals(1 << 30, ImmutableSet.chooseTableSize(1 << 29));
    assertEquals(1 << 30, ImmutableSet.chooseTableSize((1 << 30) - 1));

    // Now we've gone too far
    assertThrows(IllegalArgumentException.class, () -> ImmutableSet.chooseTableSize(1 << 30));
  }

  @GwtIncompatible // RegularImmutableSet.table not in emulation
  public void testResizeTable() {

    // Now we hit the cap
    assertEquals(1 << 30, ImmutableSet.chooseTableSize(1 << 29));
    assertEquals(1 << 30, ImmutableSet.chooseTableSize((1 << 30) - 1));

    // Now we've gone too far
    assertThrows(IllegalArgumentException.class, () -> ImmutableSet.chooseTableSize(1 << 30));
  }

  @GwtIncompatible // RegularImmutableSet.table not in emulation
  public void testResizeTable() {

            Files.createFile(targetFile);

            // First delete succeeds
            assertTrue(Files.deleteIfExists(targetFile));

            // Second delete returns false (file already gone)
            assertFalse(Files.deleteIfExists(targetFile));
        } finally {
            deleteDirectory(tempDir.toFile());
        }
    }

        of built-in training loops such as `tf.keras` `compile` and `fit`, we
        expect reduction value to be `SUM` or `NONE`. Using `AUTO` in that case
        will raise an error.
    *   `NONE`: Weighted losses with one dimension reduced (axis=-1, or axis
        specified by loss function). When this reduction type used with built-in

   * that returns a {@code ClosingFuture} to its value. The function can use a {@link
   * DeferredCloser} to capture objects to be closed when the pipeline is done (other than those
   * captured by the returned {@link ClosingFuture}).
   *
   * <p>If this {@code ClosingFuture} succeeds, the derived one will be equivalent to the one
   * returned by the function.
   *

    background_tasks: StarletteBackgroundTasks | None
    response: Response
    dependency_cache: dict[DependencyCacheKey, Any]


async def solve_dependencies(
    *,
    request: Request | WebSocket,
    dependant: Dependant,
    body: dict[str, Any] | FormData | bytes | None = None,
    background_tasks: StarletteBackgroundTasks | None = None,
    response: Response | None = None,

    print("LLM translatable languages:", translatable_langs)
    return translatable_langs


@app.command()
def llm_translatable_json(
    language: Annotated[str | None, typer.Option(envvar="LANGUAGE")] = None,
) -> None:
    translatable_langs = get_llm_translatable()
    if language:
        if language in translatable_langs:
            print(json.dumps([language]))
            return
        else:

            ),
        ] = None,
        scopes: Annotated[
            dict[str, str] | None,
            Doc(
                """
                The OAuth2 scopes that would be required by the *path operations* that
                use this dependency.
                """
            ),
        ] = None,
        description: Annotated[
            str | None,
            Doc(
                """

            """
        ),
    ] = None,
    min_length: Annotated[
        int | None,
        Doc(
            """
            Minimum length for strings.
            """
        ),
    ] = None,
    max_length: Annotated[
        int | None,
        Doc(
            """
            Maximum length for strings.
            """
        ),
    ] = None,
    pattern: Annotated[

        ),
    ]


class HTTPBase(SecurityBase):
    model: HTTPBaseModel

    def __init__(
        self,
        *,
        scheme: str,
        scheme_name: str | None = None,
        description: str | None = None,
        auto_error: bool = True,
    ):
        self.model = HTTPBaseModel(scheme=scheme, description=description)
        self.scheme_name = scheme_name or self.__class__.__name__