</mxCell>
                <mxCell id="100" value="&lt;span style=&quot;font-family: &amp;#34;roboto&amp;#34; ; font-size: 24px&quot;&gt;Who is: someapp.example.com&lt;/span&gt;" style="shape=hexagon;perimeter=hexagonPerimeter2;whiteSpace=wrap;html=1;fixedSize=1;strokeWidth=3;" parent="1" vertex="1">
                    <mxGeometry x="-110" y="-210" width="310" height="80" as="geometry"/>
                </mxCell>

                            },
                        },
                    },
                    "summary": "Read Item",
                    "operationId": "read_item_items__item_id__get",
                    "parameters": [
                        {
                            "required": True,
                            "schema": {"title": "Item Id", "type": "string"},
                            "name": "item_id",

                            },
                        },
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "required": False,
                            "schema": {
                                "title": "Q",
                                "type": "array",

@Deprecated(since = "4.0.0")
public interface ToolchainsBuilder {

    /**
     * Builds the effective toolchains of the specified toolchains files.
     *
     * @param request The toolchains building request that holds the parameters, must not be {@code null}.
     * @return The result of the toolchains building, never {@code null}.
     * @throws ToolchainsBuildingException If the effective toolchains could not be built.
     */

                            },
                        },
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "required": False,
                            "schema": IsDict(
                                {

///

/// tip | Dica

Essa mesma técnica se aplica para `Query`, `Cookie`, e `Header`. 😎

///

## Cookies com Modelos Pydantic

Declare o parâmetro de **cookie** que você precisa em um **modelo Pydantic**, e depois declare o parâmetro como um `Cookie`:

//// tab | Python 3.10+

```Python hl_lines="9-12  16"
{!> ../../docs_src/cookie_param_models/tutorial001_an_py310.py!}
```

////

import org.junit.After;
import org.junit.Before;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import org.junit.runners.Parameterized.Parameters;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import jcifs.CIFSException;
import jcifs.FileNotifyInformation;
import jcifs.SmbResource;
import jcifs.SmbWatchHandle;
import jcifs.smb.SmbFile;

                            },
                        },
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "required": False,
                            "schema": IsDict(
                                {

                            },
                        },
                    },
                    "summary": "Read User Item",
                    "operationId": "read_user_item_items__item_id__get",
                    "parameters": [
                        {
                            "required": True,
                            "schema": {"title": "Item Id", "type": "string"},
                            "name": "item_id",

@needs_pydanticv1
def test_union_scalar_list():
    # For coverage
    # TODO: there might not be a current valid code path that uses this, it would
    # potentially enable query parameters defined as both a scalar and a list
    # but that would require more refactors, also not sure it's really useful
    from fastapi._compat import is_pv1_scalar_field

    field_info = FieldInfo()
    field = ModelField(