nBestCost = settings.getAsInt(NBEST_COST, -1);
        nBestExamples = settings.get(NBEST_EXAMPLES);
    }

    private static String parse(String rule, Set<String> dup) {
        String[] values = CSVUtil.parse(rule);
        if (dup.add(values[0]) == false) {
            throw new IllegalArgumentException("Found duplicate term [" + values[0] + "] in user dictionary.");
        }
        return rule;
    }

  - armand-sauzay
  - databento-bot
  - databento
  - nanram22
  - Flint-company
  - porter-dev
  - fern-api
  - ndimares
  - svixhq
  - Alek99
  - codacy
  - zanfaruqui
  - scalar
  - bump-sh
  - andrew-propelauth
  - svix
  - zuplo-oss
  - zuplo
  - Kong
  - speakeasy-api
  - jess-render
  - blockbee-io
  - liblaber
  - render-sponsorships
  - renderinc
  - stainless-api

    separately, e.g. `pip install ujson`.
    """

    def render(self, content: Any) -> bytes:
        assert ujson is not None, "ujson must be installed to use UJSONResponse"
        return ujson.dumps(content, ensure_ascii=False).encode("utf-8")


@deprecated(
    "ORJSONResponse is deprecated, FastAPI now serializes data directly to JSON "
    "bytes via Pydantic when a return type or response model is set, which is "

    SerializableTester.reserializeAndAssert(composedConverter);
  }

  public void testSerialization_from() {
    Converter<String, String> dumb = Converter.from(toStringFunction(), toStringFunction());
    SerializableTester.reserializeAndAssert(dumb);
  }

Результатом её вызова является объект, который может быть закодирован с помощью функции из стандартной библиотеки Python – [`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps).

        operation_id = operation["operationId"]
        to_remove = f"{tag}-"
        new_operation_id = operation_id[len(to_remove) :]
        operation["operationId"] = new_operation_id

In diesem Beispiel wird das Pydantic-Modell in ein `dict`, und das `datetime`-Objekt in ein `str` konvertiert.

Das Resultat dieses Aufrufs ist etwas, das mit Pythons Standard-[`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps) kodiert werden kann.

En este ejemplo, convertiría el modelo de Pydantic a un `dict`, y el `datetime` a un `str`.

El resultado de llamarlo es algo que puede ser codificado con la función estándar de Python [`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps).

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# This script dumps some information about the environment. It's most useful
# for verifying changes to the TFCI scripts system, and most users won't need
# to interact with it at all.
source "${BASH_SOURCE%/*}/utilities/setup.sh"

	"CALL":  true,
	"CBZ":   true,
	"CBZW":  true,
	"CBNZ":  true,
	"CBNZW": true,
	"JMP":   true,
	"TBNZ":  true,
	"TBZ":   true,

	// ADR isn't really a jump, but it takes a PC or label reference,
	// which needs to patched like a jump.
	"ADR":  true,
	"ADRP": true,
}

func jumpArm64(word string) bool {
	return arm64Jump[word]
}

var arm64SpecialOperand map[string]arm64.SpecialOperand