panic(err)
			}
			enc = e
		})
		return enc
	}
	return
}

// EncodeData encodes the given data and returns the erasure-coded data.
// It returns an error if the erasure coding failed.
func (e *Erasure) EncodeData(ctx context.Context, data []byte) ([][]byte, error) {
	if len(data) == 0 {
		return make([][]byte, e.dataBlocks+e.parityBlocks), nil
	}
	encoded, err := e.encoder().Split(data)

from fastapi import FastAPI
from fastapi.testclient import TestClient

from .utils import needs_py310


@needs_py310
def test_typing():
    types = {
        list[int]: [1, 2, 3],
        dict[str, list[int]]: {"a": [1, 2, 3], "b": [4, 5, 6]},
        set[int]: [1, 2, 3],  # `set` is converted to `list`
        tuple[int, ...]: [1, 2, 3],  # `tuple` is converted to `list`
    }
    for test_type, expect in types.items():

mc mb -l myminio/veeambackup
```

> Object locking requires erasure coding enabled on the minio server. For more information see <https://min.io/docs/minio/linux/operations/concepts/erasure-coding.html>.

### Add MinIO as an object store for Veeam

Follow the steps from the Veeam documentation for adding MinIO as an object store - <https://helpcenter.veeam.com/docs/backup/vsphere/adding_s3c_object_storage.html?ver=100>

            <multiplicity>*</multiplicity>
          </association>
          <description><![CDATA[Restricts the classes/resources from the current artifact's CoreExtension class realm that are exposed. Values ending with ".*" expose all classes/resources which are directly contained in the given package in binary form. 

containers provide isolated application execution environment, orchestration platforms allow seamless scaling by helping replicate and manage containers. MinIO extends this by adding isolated storage environment for each tenant.

MinIO is built ground up on the cloud-native premise. With features like erasure-coding, distributed and shared setup, it focuses only on storage and does it very well. While, it can be scaled by just replicating MinIO instances per tenant via an orchestration platform....

It will be defined in OpenAPI with `anyOf`.

To do that, use the standard Python type hint <a href="https://docs.python.org/3/library/typing.html#typing.Union" class="external-link" target="_blank">`typing.Union`</a>:

!!! note

```

!!! note
    Notice that as we communicate with the database using `await`, the *path operation function* is declared with `async`.

### Notice the `response_model=List[Note]`

It uses `typing.List`.

That documents (and validates, serializes, filters) the output data, as a `list` of `Note`s.

## Create notes

Create the *path operation function* to create notes:

```Python hl_lines="61-65"

	}
	keys, items, err = batch.GetAll()
	if err != nil {
		t.Fatalf("unable to get the items from the batch; %v", err)
	}
	if len(items) != 1 {
		t.Fatalf("Expected length of the batch items to be 1 but got %v", len(items))
	}
	if len(keys) != 1 {
		t.Fatalf("Expected length of the batch keys to be 1 but got %v", len(items))
	}
	// try adding again after Get.

from typing import Union

from fastapi import FastAPI, Query
from typing_extensions import Annotated

app = FastAPI()


@app.get("/items/")
async def read_items(q: Annotated[Union[str, None], Query(max_length=50)] = None):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

from typing import Union

from fastapi import FastAPI, Query
from typing_extensions import Annotated

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Annotated[
        Union[str, None], Query(min_length=3, max_length=50, pattern="^fixedquery$")
    ] = None,
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})