version string
		format  string
		want    bool
	}{
		{1, "123", "fs", false},
		{2, "123", xlMetaFormat, false},
		{3, xlMetaVersion100, "test", false},
		{4, xlMetaVersion101, "hello", false},
		{5, xlMetaVersion100, xlMetaFormat, true},
		{6, xlMetaVersion101, xlMetaFormat, true},
	}
	for _, tt := range tests {
		if got := isXLMetaFormatValid(tt.version, tt.format); got != tt.want {

* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.

	}
	expectAuthors := []string{"Edward", "George"}
	for i, post := range egPosts {
		t.Log(i, post.Author)
		if want := expectAuthors[i]; post.Author.Name != want {
			t.Errorf("expected author %s got %s", want, post.Author.Name)
		}
	}
}

func TestEmbeddedPointerTypeStruct(t *testing.T) {
	type BasePost struct {
		Id    int64
		Title string
		URL   string
	}

Notice that the default value is still `None`, so the parameter is still optional.

But now, having `Query(max_length=50)` inside of `Annotated`, we are telling FastAPI that we want it to have **additional validation** for this value, we want it to have maximum 50 characters. 😎

/// tip

			if int64(len(buf)) < want {
				return nil, fmt.Errorf("buffer shorter than expected (buflen: %d, want: %d): %w", len(buf), want, errFileCorrupt)
			}

			tmp = buf[want:]
			_, after, err := msgp.ReadUint32Bytes(tmp)
			if err != nil {
				return nil, fmt.Errorf("readXLMetaNoData(read_meta): unknown metadata version %w", err)
			}
			want += int64(len(tmp) - len(after))

			return buf[:want], err

		default:

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.
1. Click **Dashboard**.
1. Select "fess\_log" dashboard.
1. (Change the period from upper right if you want to do.)
## FAQ

#### Q. Kibana can't connect Elasticsearch.

A. Please check `${KIBANA_HOME}/config/kibana.yml` and set correct Elasticsearch URL.

Example:
```

///

## Forbid Extra Cookies { #forbid-extra-cookies }

In some special use cases (probably not very common), you might want to **restrict** the cookies that you want to receive.

    /*
     * It is a little awkward but prudent to pass the quering address
     * so that it may be included in the list of results. IOW we do
     * not want to create a new NbtAddress object for this particular
     * address from which the query is constructed, we want to populate
     * the data of the existing address that should be one of several
     * returned by the node status.
     */

# `HTTPConnection` class

When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`.

You can import it from `fastapi.requests`:

```python
from fastapi.requests import HTTPConnection
```