"suggestWord": {
        "type": "keyword"
      },
      "reading": {
        "type": "keyword"
      },
      "permissions": {
        "type": "keyword"
      },
      "boost": {
        "type": "float"
      },
      "createdBy": {
        "type": "keyword"
      },
      "createdTime": {
        "type": "long"
      },
      "updatedBy": {
        "type": "keyword"
      },
      "updatedTime": {

                    "msg": "value is not a valid float",
                    "type": "type_error.float",
                }
            ]
        }
    )


def test_path_float_42():
    response = client.get("/path/float/42")
    assert response.status_code == 200
    assert response.json() == 42


def test_path_float_42_5():
    response = client.get("/path/float/42.5")
    assert response.status_code == 200

from typing import Dict

from fastapi import FastAPI

app = FastAPI()


@app.get("/keyword-weights/", response_model=Dict[str, float])
async def read_keyword_weights():

   * @return a long of a concatenated 8 bytes
   */
  static long load64(byte[] input, int offset) {
    // We don't want this in production code as this is the most critical part of the loop.
    assert input.length >= offset + 8;
    // Delegates to the fast (unsafe) version or the fallback.
    return byteArray.getLongLittleEndian(input, offset);
  }

  /**

<%@page pageEncoding="UTF-8" contentType="text/html; charset=UTF-8"%>
<footer class="main-footer">
	<div class="float-right d-none d-sm-inline-block"></div>
	<la:message key="labels.footer.copyright" />

    @Override
    protected String getQueryClassName() {
        return PrefixQuery.class.getSimpleName();
    }

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final PrefixQuery prefixQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("{}:{}", query, boost);
            }

			input: map[string]interface{}{
				"age": 18,
			},
			expect: clause.Values{
				Columns: []clause.Column{{Name: "age"}},
				Values:  [][]interface{}{{18}},
			},
		},
		{
			name: "Test convert float value",
			input: map[string]interface{}{
				"score": 99.5,
			},
			expect: clause.Values{
				Columns: []clause.Column{{Name: "score"}},
				Values:  [][]interface{}{{99.5}},
			},
		},
		{

        final AtomicBoolean calledFirst = new AtomicBoolean(false);
        queryProcessor.addFilter(new QueryProcessor.Filter() {
            @Override
            public QueryBuilder execute(QueryContext context, Query query, float boost, FilterChain chain) {
                calledFirst.set(true);
                assertFalse(called.get());
                QueryBuilder builder = chain.execute(context, query, boost);
                assertTrue(called.get());

                            || actual == Short.class
                            || actual == Byte.class)) {
                return true;
            }
            if (formal == Float.TYPE
                    && (actual == Float.class
                            || actual == Long.class
                            || actual == Integer.class
                            || actual == Short.class

* Conversão de dados
* Validação de dados
* Documentação automatica

## Tipos especiais e validação

Além dos tipos singulares normais como `str`, `int`, `float`, etc. Você também pode usar tipos singulares mais complexos que herdam de `str`.