compatibility.

Some parameters will temporarily exist both the component configuration and legacy Helm APIs - for example, K8s
resources. However, the Istio community recommends using the first API as it is more consistent, is validated,
and will naturally follow the graduation process for APIs while the same parameters in the configuration API are planned

        <Status>Enabled</Status>
        <ExcludeFolders>true</ExcludeFolders>

        <ExcludedPrefixes>
          <Prefix>app1-jobs/*/_temporary/</Prefix>
        </ExcludedPrefixes>
        <ExcludedPrefixes>
          <Prefix>app2-jobs/*/_magic/</Prefix>
        </ExcludedPrefixes>

        <!-- .. up to 10 prefixes in all -->
</VersioningConfiguration>
```

workloads rely on HDFS atomic rename functionality to complete writing data to the datastore. Object storage operations are atomic by nature and they do not require/implement rename API. The default S3A committer emulates renames through copy and delete APIs. This interaction pattern causes significant loss of performance because of the write amplification. _Netflix_, for example, developed two new staging committers - the Directory staging committer and the Partitioned staging committer - to take full...

learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a
non-guaranteed backward compatible API for
[other languages](https://www.tensorflow.org/api_docs).

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to

## Example

### Create it

* Create a file `main.py` with:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

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