"runtime"
	"strconv"
	"strings"
	"unicode"
)

var gormSourceDir string

func init() {
	_, file, _, _ := runtime.Caller(0)
	// compatible solution to get gorm source directory with various operating systems
	gormSourceDir = sourceDir(file)
}

func sourceDir(file string) string {
	dir := filepath.Dir(file)
	dir = filepath.Dir(dir)

	s := filepath.Dir(dir)
	if filepath.Base(s) != "gorm.io" {
		s = dir
	}

It can be used by the frontend team (that can also be yourself).

It can be used by third party applications and systems.

And it can also be used by yourself, to debug, check and test the same application.

## The `password` flow

Now let's go back a bit and understand what is all that.

All built as reusable tools and components that are easy to integrate with your systems, data stores, relational and NoSQL databases, etc.

### Dependency Injection

FastAPI includes an extremely easy to use, but extremely powerful <abbr title='also known as "components", "resources", "services", "providers"'><strong>Dependency Injection</strong></abbr> system.

Decompression speed is typically at least 1GB/s.

This means that in cases where raw IO is below these numbers
compression will not only reduce disk usage but also help increase system throughput.
Typically, enabling compression on spinning disk systems
will increase speed when the content can be compressed.

## Get Started

### 1. Prerequisites

}

// LivenessCheckHandler checks whether MinIO is up. It differs from the
// readiness handler since a failing liveness check causes pod restarts
// in K8S environments. Therefore, it does not contact external systems.
func LivenessCheckHandler(w http.ResponseWriter, r *http.Request) {
	if objLayer := newObjectLayerFn(); objLayer == nil {
		w.Header().Set(xhttp.MinIOServerStatus, unavailable) // Service not initialized yet
	}

Here's a little bit of that history.

## Alternatives

I have been creating APIs with complex requirements for several years (Machine Learning, distributed systems, asynchronous jobs, NoSQL databases, etc), leading several teams of developers.

As part of that, I needed to investigate, test and use many alternatives.

* Automatic annotation and documentation.

## Other data types

Here are some of the additional data types you can use:

* `UUID`:
    * A standard "Universally Unique Identifier", common as an ID in many databases and systems.
    * In requests and responses will be represented as a `str`.
* `datetime.datetime`:
    * A Python `datetime.datetime`.

    Even if they are in different modules (Python files).

## Exclude from OpenAPI

To exclude a *path operation* from the generated OpenAPI schema (and thus, from the automatic documentation systems), use the parameter `include_in_schema` and set it to `False`:

```Python hl_lines="6"
{!../../../docs_src/path_operation_advanced_configuration/tutorial003.py!}
```

## Advanced description from docstring

	"github.com/minio/minio/internal/event"
	xhttp "github.com/minio/minio/internal/http"
	"github.com/minio/minio/internal/pubsub"
	"github.com/minio/pkg/v2/policy"
)

// EventNotifier - notifies external systems about events in MinIO.
type EventNotifier struct {
	sync.RWMutex
	targetList     *event.TargetList
	bucketRulesMap map[string]event.RulesMap
}

// NewEventNotifier - creates new event notification object.

```

##### Node (optional)

Optionally you can also collect per node metrics. This needs to be done on a per server instance.
The scrape configurations should use all the servers under `targets` so that graphing systems like
grafana can visualize them for all the nodes

```yaml
scrape_configs:
- job_name: minio-job
  metrics_path: /minio/v2/metrics/node
  scheme: http
  static_configs: