Essa resposta requer a instalação do pacote `ujson`, com o comando `pip install ujson`, por exemplo.

///

/// warning | Aviso

`ujson` é menos cauteloso que a implementação nativa do Python na forma que os casos especiais são tratados

///

```Python hl_lines="2  7"
{!../../docs_src/custom_response/tutorial001.py!}
```

/// tip | Dica

If you're seeing this message then switch the development to 'main':
git checkout main

Development for branch 8x remains in the shared repository:

- https://gitbox.apache.org/repos/asf/lucene-solr.git

## GitHub forks?

If you are using GitHub, make a clone of the corresponding repository
mirror and create your pull requests against the main branch:

- Lucene: <https://github.com/apache/lucene>

import org.codelibs.fess.Constants;
import org.codelibs.fess.app.service.WebConfigService;
import org.codelibs.fess.crawler.client.http.Authentication;
import org.codelibs.fess.crawler.client.http.form.FormScheme;
import org.codelibs.fess.crawler.client.http.impl.AuthenticationImpl;
import org.codelibs.fess.crawler.client.http.ntlm.JcifsEngine;
import org.codelibs.fess.crawler.exception.CrawlerSystemException;

name: cffconvert

on:
  push:
    paths:
      - CITATION.cff

permissions:
  contents: read

jobs:
  validate:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    name: "validate"
    runs-on: ubuntu-latest
    steps:
      - name: Check out a copy of the repository
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2

    - cron: 0 4 * * *  # 4am UTC is 9pm PDT and 8pm PST
name: Set nightly branch to master HEAD

permissions: {}

jobs:
  master-to-nightly:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
    - uses: zofrex/mirror-branch@0be56f4c8077a288a635a491b306ba0bb1c810e6 # v1.0.4
      name: Set nightly branch to master HEAD
      with:

						alt="<la:message key="labels.header_brand_name" />"
						class="align-items-center" />
				</la:link>
				<div
					class="navbar-form col-md-6 col-sm-8 col-7 mr-auto p-0"
					role="search">
					<div class="input-group">
						<la:text property="q" maxlength="1000" styleId="query"
							styleClass="form-control" autocomplete="off" />
						<span class="input-group-append">
							<button type="submit" name="search" id="searchButton"

						alt="<la:message key="labels.header_brand_name" />"
						class="align-items-center" />
				</la:link>
				<div
					class="navbar-form col-md-6 col-sm-8 col-7 mr-auto p-0"
					role="search">
					<div class="input-group">
						<la:text property="q" maxlength="1000" styleId="query"
							styleClass="form-control" autocomplete="off" />
						<span class="input-group-append">
							<button type="submit" name="search" id="searchButton"

come with the compiler are not designed to be used with untrusted data and
should be used with caution when working with untrusted models.

### Saved graphs and checkpoints

When loading untrusted serialized computation graphs (in form of a `GraphDef`,
`SavedModel`, or equivalent on-disk format), the set of computation primitives
available to TensorFlow is powerful enough that you should assume that the
TensorFlow process effectively executes arbitrary code.

http://127.0.0.1:8000/items/?skip=20
```

Os valores dos parâmetros na sua função serão:

* `skip=20`: Por que você definiu isso na URL
* `limit=10`: Por que esse era o valor padrão

## Parâmetros opcionais

Da mesma forma, você pode declarar parâmetros de consulta opcionais, definindo o valor padrão para `None`:

//// tab | Python 3.10+

```Python hl_lines="7"
{!> ../../docs_src/query_params/tutorial002_py310.py!}
```

////

    assertThat(request.method).isEqualTo("POST")
    assertThat(request.url.toString()).isEqualTo("http://example.com/")
    assertThat(body!!.contentType().toString()).isEqualTo(
      "application/x-www-form-urlencoded; charset=utf-8",
    )
    assertThat(bodyAsString(body)).isEqualTo("foo")
  }

  @Test
  fun dataPut() {
    val request = fromArgs("-d", "foo", "-X", "PUT", "http://example.com").createRequest()