)

    class FakeNumpyArray:
        def __init__(self):
            self.data = [1.0, 2.0, 3.0]

    FakeNumpyArrayPydantic = Annotated[
        FakeNumpyArray,
        WithJsonSchema(TypeAdapter(list[float]).json_schema()),
        PlainSerializer(lambda v: v.data),
    ]

    class MyModel(BaseModel):
        model_config = ConfigDict(arbitrary_types_allowed=True)
        custom_field: FakeNumpyArrayPydantic

  @Override
  public int intValue() {
    return (int) sum();
  }

  /** Returns the {@link #sum} as a {@code float} after a widening primitive conversion. */
  @Override
  public float floatValue() {
    return (float) sum();
  }

  /** Returns the {@link #sum} as a {@code double} after a widening primitive conversion. */
  @Override
  public double doubleValue() {

	Timestamp1 *PrimaryTerm `parser:" @@ \",\" "`
	Timestamp2 *PrimaryTerm `parser:" @@ \")\" "`
}

// LitValue represents a literal value parsed from the sql
type LitValue struct {
	Float   *float64       `parser:"(  @Float"`
	Int     *float64       `parser:" | @Int"` // To avoid value out of range, use float64 instead
	String  *LiteralString `parser:" | @LitString"`
	Boolean *Boolean       `parser:" | @(\"TRUE\" | \"FALSE\")"`

    private String artifactId;

    /**
     * The version of the extension.
     */
    private String version;

    /**
     * The class loading strategy: 'self-first' (the default),
     * 'parent-first' (loads classes from the parent, then from the
     * extension) or 'plugin' (follows the rules from extensions
     * defined as plugins).
     */
    private String classLoadingStrategy = "self-first";

    // -----------/

	case simdjson.TypeFloat:
		v, err := iter.Float()
		if err != nil {
			return nil, err
		}
		return sql.FromFloat(v), nil
	case simdjson.TypeInt:
		v, err := iter.Int()
		if err != nil {
			return nil, err
		}
		return sql.FromInt(v), nil
	case simdjson.TypeUint:
		v, err := iter.Int()
		if err != nil {
			// Can't fit into int, convert to float.
			v, err := iter.Float()
			return sql.FromFloat(v), err
		}

	}
	for name, value := range httpStats.TotalS3Canceled.APIStats {
		m.Set(apiRequestsCanceledTotal, float64(value), "name", name, "type", "s3")
	}
	return nil
}

// loadAPIRequestsTTFBMetrics - loads S3 TTFB metrics.
//
// This is a `MetricsLoaderFn`.
func loadAPIRequestsTTFBMetrics(ctx context.Context, m MetricValues, _ *metricsCache) error {
	renameLabels := map[string]string{"api": "name"}

```Python hl_lines="4  9-12  25-27"
from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: Union[bool, None] = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):

from pydantic.v1 import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None

    assertThat(primitives)
        .containsExactly(
            boolean.class,
            byte.class,
            char.class,
            double.class,
            float.class,
            int.class,
            long.class,
            short.class,
            void.class);

    assertThrows(UnsupportedOperationException.class, () -> primitives.remove(boolean.class));
  }

        try {
            props.load(reader);
        } catch (final IOException e) {
            throw new IORuntimeException(e);
        }
    }

    /**
     * Loads the specified file into the {@link Properties} using the given encoding (wraps exception handling).
     *
     * @param props
     *            Property set. Must not be {@literal null}.
     * @param file