// present only in memory, it helps to generate the zip stream.
type dummyFileInfo struct {
	name    string
	size    int64
	mode    os.FileMode
	modTime time.Time
	isDir   bool
	sys     interface{}
}

func (f dummyFileInfo) Name() string       { return f.name }
func (f dummyFileInfo) Size() int64        { return f.size }
func (f dummyFileInfo) Mode() os.FileMode  { return f.mode }

        return crawlingConfig.initializeClientFactory(creator);
    }

    @Override
    public Map<String, String> getConfigParameterMap(final ConfigName name) {
        return crawlingConfig.getConfigParameterMap(name);
    }

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.header_params.tutorial001_py310 import app

    client = TestClient(app)
    return client


@needs_py310
@pytest.mark.parametrize(
    "path,headers,expected_status,expected_response",
    [

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.query_params_str_validations.tutorial011_an_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_multi_query_values(client: TestClient):
    url = "/items/?q=foo&q=bar"
    response = client.get(url)

---
name: Feature request
about: Suggest an idea for this project
title: ''
labels: ''
assignees: ''

---

---
name: Feature request
about: Suggest an idea for this project
title: ''
labels: ''
assignees: ''

---

        /**
         * CharSequenceを作成します。
         *
         * @param name
         * @return CharSequence
         */
        protected static CharSequence createCharSequence(final String name) {
            return new CharSequence() {

                @Override
                public String toString() {
                    return name;
                }

                @Override

All container images are available as manifest lists and support the described
architectures. It is also possible to pull a specific architecture directly by
adding the "-$ARCH" suffix  to the container image name.

name | architectures
---- | -------------

        "builtIn": 1,
        "datasource": {
          "type": "datasource",
          "uid": "grafana"
        },
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
      }
    ]
  },
  "editable": true,
  "fiscalYearStartMonth": 0,
  "graphTooltip": 0,
  "links": [],
  "liveNow": false,
  "panels": [
    {

{!../../docs_src/python_types/tutorial009c.py!}
```

Der Parameter `name` ist definiert als `Optional[str]`, aber er ist **nicht optional**, Sie können die Funktion nicht ohne diesen Parameter aufrufen:

```Python
say_hi()  # Oh, nein, das löst einen Fehler aus! 😱
```

Der `name` Parameter wird **immer noch benötigt** (nicht *optional*), weil er keinen Default-Wert hat. `name` akzeptiert aber dennoch `None` als Wert:

```Python