)

// initDataScanner will start the scanner in the background.
func initDataScanner(ctx context.Context, objAPI ObjectLayer) {
	go func() {
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		// Run the data scanner in a loop
		for {
			runDataScanner(ctx, objAPI)
			duration := time.Duration(r.Float64() * float64(scannerCycle.Load()))
			if duration < time.Second {

		hashPathCutSet = dataUsageRoot + string(filepath.Separator)
	}
}

// hashPath calculates a hash of the provided string.
func hashPath(data string) dataUsageHash {
	if data != dataUsageRoot {
		data = strings.Trim(data, hashPathCutSet)
	}
	return dataUsageHash(path.Clean(data))
}

//msgp:ignore dataUsageHashMap
type dataUsageHashMap map[string]struct{}

// DecodeMsg implements msgp.Decodable

Anis Eleuch <******@****.***> 1712232280 +0100

			switch data := v.(type) {
			case **int64:
				if data != nil && *data != nil {
					field.ReflectValueOf(ctx, value).SetInt(**data)
				}
			case **int:
				if data != nil && *data != nil {
					field.ReflectValueOf(ctx, value).SetInt(int64(**data))
				}
			case **int8:
				if data != nil && *data != nil {
					field.ReflectValueOf(ctx, value).SetInt(int64(**data))

		versions = append(versions, content)
	}

	data.Name = bucket
	data.Versions = versions
	data.EncodingType = encodingType
	data.Prefix = s3EncodeName(prefix, encodingType)
	data.KeyMarker = s3EncodeName(marker, encodingType)
	data.Delimiter = s3EncodeName(delimiter, encodingType)
	data.MaxKeys = maxKeys

	data.NextKeyMarker = s3EncodeName(resp.NextMarker, encodingType)
	data.NextVersionIDMarker = resp.NextVersionIDMarker

    ```

FastAPI will use this return type to:

* **Validate** the returned data.
    * If the data is invalid (e.g. you are missing a field), it means that *your* app code is broken, not returning what it should, and it will return a server error instead of returning incorrect data. This way you and your clients can be certain that they will receive the data and the data shape expected.
* Add a **JSON Schema** for the response, in the OpenAPI *path operation*.

And the data would be saved with that "new" `tax` of `10.5`.

## Partial updates with `PATCH`

You can also use the <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/PATCH" class="external-link" target="_blank">HTTP `PATCH`</a> operation to *partially* update data.

This means that you can send only the data that you want to update, leaving the rest intact.

!!! note

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

!!! info

  tensorflow::string value = cell->cell.value();
  void* data = tensorflow::port::Malloc(value.length());
  value.copy(static_cast<char*>(data), value.length(), 0);
  buf->data = data;
  buf->length = value.length();
  buf->data_deallocator = [](void* data, size_t length) {
    tensorflow::port::Free(data);
  };
}

TFE_MonitoringStringGauge0* TFE_MonitoringNewStringGauge0(

		t.Fatalf("Failed to find created data, got error: %v", err)
	} else if result.Name != "foo" || result.Name2 != "foo" || result.Name3 != "" || result.Age != 18 || !result.Enabled || result.Created.Format("20060102") != "20000102" {
		t.Fatalf("Failed to find created data with default data, got %+v", result)
	}

	type Harumph2 struct {
		ID      int       `gorm:"default:0"`