// tag::fork-every[]
    forkEvery = 100
// end::fork-every[]

// tag::disable-reports[]
    reports.html.required = false
    reports.junitXml.required = false
// end::disable-reports[]

// tag::parallel-4[]
// tag::parallel-calculated[]
// tag::fork-every[]
// tag::disable-reports[]
}
// end::parallel-4[]
// end::parallel-calculated[]
// end::fork-every[]
// end::disable-reports[]

}

// interlacing represents the set of scans in an interlaced GIF image.
var interlacing = []interlaceScan{
	{8, 0}, // Group 1 : Every 8th. row, starting with row 0.
	{8, 4}, // Group 2 : Every 8th. row, starting with row 4.
	{4, 2}, // Group 3 : Every 4th. row, starting with row 2.
	{2, 1}, // Group 4 : Every 2nd. row, starting with row 1.
}

// uninterlace rearranges the pixels in m to account for interlaced input.

// tag::fork-every[]
    forkEvery = 100
// end::fork-every[]

// tag::disable-reports[]
    reports.html.required = false
    reports.junitXml.required = false
// end::disable-reports[]

// tag::parallel-4[]
// tag::parallel-calculated[]
// tag::fork-every[]
// tag::disable-reports[]
}
// end::parallel-4[]
// end::parallel-calculated[]
// end::fork-every[]
// end::disable-reports[]

// limitations under the License.

[[feature_lifecycle]]
= The Feature Lifecycle

Gradle is under constant development. New versions are delivered on a regular and frequent basis (approximately every six weeks) as described in <<#eol_support,the section on end-of-life support>>.

Continuous improvement combined with frequent delivery allows new features to be available to users early.

		}
	}
}

func isUnexpectedError(err error) bool {
	s, ok := status.FromError(err)
	// Unavailable or canceled code will be sent when a connection is closing down. This is very normal,
	// due to the XDS connection being dropped every 30 minutes, or a pod shutting down.
	isError := s.Code() != codes.Unavailable && s.Code() != codes.Canceled
	return !ok || isError
}

	//   etcd API.
	// - What happened under heavy load scenarios? Initially, each apiserver will do only one compaction
	//   every 5 minutes. This is very unlikely affecting or affected w.r.t. server load.

	var compactTime int64
	var rev int64
	var err error
	for {
		select {
		case <-time.After(interval):
		case <-ctx.Done():
			return

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.

Reading a file from disk is normally a costly (slow) operation, so you probably want to do it only once and then reuse the same settings object, instead of reading it for each request.

But every time we do:

```Python
Settings()
```

a new `Settings` object would be created, and at creation it would read the `.env` file again.

If the dependency function was just like:

```Python

	//   the request finishes even if there is a small number of watches.
	//   However, until we tune the estimation we want to stay on the safe side
	//   an avoid introducing additional latency for almost every single request.
	if watchCount >= int(e.config.WatchesPerSeat) {
		// TODO: As described in the KEP, we should take into account that not all
		//   events are equal and try to estimate the cost of a single event based on

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python