!!! info
    Keep in mind that dataclasses can't do everything Pydantic models can do.

    So, you might still need to use Pydantic models.

    But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓

## Dataclasses in `response_model`

You can also use `dataclasses` in the `response_model` parameter:

			}
			diskHealthCheckOK(ctx, err)
			return err
		}
		diskHealthCheckOK(ctx, err)
		if len(entries) == 0 {
			return nil
		}
		dirObjects := make(map[string]struct{})

		// Avoid a bunch of cleanup when joining.
		current = strings.Trim(current, SlashSeparator)
		for i, entry := range entries {
			if opts.Limit > 0 && objsReturned >= opts.Limit {
				return nil
			}

   * <p>Fingerprint2011() is a form of Murmur2 on strings up to 32 bytes and a form of CityHash for
   * longer strings. It could have been one or the other throughout. The main advantage of the
   * combination is that CityHash has a bunch of special cases for short strings that don't need to
   * be replicated here. The result will never be 0 or 1.
   *
   * <p>This function is best understood as a <a

config_setting(
    name = "no_xla_deps_in_cuda",
    define_values = {"no_xla_deps_in_cuda": "true"},
    visibility = ["//visibility:public"],
)

# Crosses between framework_shared_object and a bunch of other configurations
# due to limitations in nested select() statements.
config_setting(
    name = "framework_shared_object",
    define_values = {"framework_shared_object": "true"},