val newSize = deflatedBytes.size - LAST_OCTETS_COUNT_TO_REMOVE_AFTER_DEFLATION
      deflatedBytes.readAndWriteUnsafe().use { cursor ->
        cursor.resizeBuffer(newSize)
      }
    } else {
      // Same as adding EMPTY_DEFLATE_BLOCK and then removing 4 bytes.
      deflatedBytes.writeByte(0x00)
    }

    buffer.write(deflatedBytes, deflatedBytes.size)
  }

  @Throws(IOException::class)

So, a `datetime` object would have to be converted to a `str` containing the data in <a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO format</a>.

The same way, this database wouldn't receive a Pydantic model (an object with attributes), only a `dict`.

You can use `jsonable_encoder` for that.

It receives an object, like a Pydantic model, and returns a JSON compatible version:

  // this list must have at least one matching (by name) volumeMount in one
  // container in the template. A claim in this list takes precedence over
  // any volumes in the template, with the same name.
  // TODO: Define the behavior if a claim already exists with the same name.
  // +optional
  repeated k8s.io.api.core.v1.PersistentVolumeClaim volumeClaimTemplates = 4;

  // serviceName is the name of the service that governs this StatefulSet.

research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running
and leak or tamper with applications from other users. Please report

                            // If we don't clean that up there might be leftover json files from other report builds running on the same machine.
                            """
                            results/performance/build/test-results-*.zip!performance-tests/report/css/*.css => $performanceResultsDir/
                            $perfResultArtifactRule

So:

```Python
q: Union[str, None] = Query(default=None)
```

...makes the parameter optional, with a default value of `None`, the same as:

```Python
q: Union[str, None] = None
```

And in Python 3.10 and above:

 * the following strategies:
 *
 *  1. If the current call already has a connection that can satisfy the request it is used. Using
 *     the same connection for an initial exchange and its follow-ups may improve locality.
 *
 *  2. If there is a connection in the pool that can satisfy the request it is used. Note that it is

  `I do,' Alice hastily replied; `at least--at least I mean what
I say--that's the same thing, you know.'

  `Not the same thing a bit!' said the Hatter.  `You might just
as well say that "I see what I eat" is the same thing as "I eat
what I see"!'

  `You might just as well say,' added the March Hare, `that "I
like what I get" is the same thing as "I get what I like"!'

usage, use object versioning with [object lifecycle management](https://github.com/minio/minio/blob/master/docs/bucket/lifecycle/README.md).  If you have an object expiration lifecycle policy in your non-versioned bucket and you want to maintain the same permanent delete behavior when on versioning-enabled bucket, you must add a noncurrent expiration policy. The noncurrent expiration lifecycle policy will manage the deletes of the noncurrent object versions in the versioning-enabled bucket. (A version-enabled...

  // implementation will use to handle pods of this class. The possible values
  // are specific to the node & CRI configuration.  It is assumed that all
  // handlers are available on every node, and handlers of the same name are
  // equivalent on every node.
  // For example, a handler called "runc" might specify that the runc OCI
  // runtime (using native Linux containers) will be used to run the containers
  // in a pod.