}

    /**
     * Converts to the appropriate {@link Number}.
     *
     * @param type
     *            Target type
     * @param o
     *            Source object
     * @return {@link Number} converted to {@literal type}
     */
    public static Object convertNumber(final Class<?> type, final Object o) {
        if (type == Integer.class) {
            return IntegerConversionUtil.toInteger(o);

    }

    @Test
    public void test_convertCrawlingPath_s3_not_converted() {
        // S3 paths should be returned as-is, not converted
        String s3Path = "s3://my-bucket/path/to/object";
        assertEquals(s3Path, wizardAction.convertCrawlingPath(s3Path));

        // Verify it's not being converted to file: protocol
        assertFalse(wizardAction.convertCrawlingPath(s3Path).startsWith("file:"));
    }

    @Test

    }

    /**
     * Registers a value in the render data with the specified key.
     * If the value is an Entity object, it will be converted to a Map using BeanUtil.
     * If the value is a Collection containing Entity objects, each Entity will be converted to a Map.
     * For other types of values, they are registered directly.
     *
     * @param data the RenderData object to register the value in

      }

    /**
     * Sets the default timeout for complete calls. A value of 0 means no timeout, otherwise values
     * must be between 1 and [Integer.MAX_VALUE] when converted to milliseconds.
     *
     * The call timeout spans the entire call: resolving DNS, connecting, writing the request body,
     * server processing, and reading the response body. If the call requires redirects or retries

     * @param clazz the class type to convert the value to
     * @param defaultValue the default value to return if the key is not found or conversion fails
     * @return the converted value or the default value if not found
     */
    public static <T> T getValue(final Map<String, Object> doc, final String key, final Class<T> clazz, final T defaultValue) {
        final T value = getValue(doc, key, clazz);

                    final String converted = URLEncoder.encode(target, Constants.UTF_8);
                    if (target.equals(converted)) {
                        encodedBuf.append(Base64.getUrlEncoder().encodeToString(target.getBytes(Constants.CHARSET_UTF_8)));
                    } else {
                        encodedBuf.append(converted);
                    }

    this.min = min;
    this.max = max;
  }

  /**
   * Returns statistics over a dataset containing the given values.
   *
   * @param values a series of values, which will be converted to {@code double} values (this may
   *     cause loss of precision)
   */
  public static Stats of(Iterable<? extends Number> values) {
    StatsAccumulator accumulator = new StatsAccumulator();

## Convertir cualquier Dato a Compatible con JSON { #convert-any-data-to-json-compatible }

Para convertir cualquier dato a compatible con JSON, lee la documentación para [Tutorial - Codificador Compatible con JSON](../tutorial/encoder.md).

a `response_class` with a JSON media type (`application/json`), like is the case with the `JSONResponse`, the data you return will be automatically converted (and filtered) with any Pydantic `response_model` that you declared in the *path operation decorator*. But the data won't be serialized to JSON bytes with Pydantic, instead it will be converted with the `jsonable_encoder` and then passed to the `JSONResponse` class, which will serialize it to bytes using the standard JSON library in Python....

You couldn't get this kind of editor support if you were working directly with `dict` instead of Pydantic models.

But you don't have to worry about them either, incoming dicts are converted automatically and your output is converted automatically to JSON too.

## Bodies of arbitrary `dict`s { #bodies-of-arbitrary-dicts }

You can also declare a body as a `dict` with keys of some type and values of some other type.