return [b[0] for b in files]

    original_read = StarletteUploadFile.read

    async def patched_read(self: StarletteUploadFile, size: int = -1) -> bytes:
        # Make the FIRST file slower *deterministically*
        if self.filename == "slow.txt":
            await anyio.sleep(0.05)
        return await original_read(self, size)

    monkeypatch.setattr(StarletteUploadFile, "read", patched_read)

    "true" or "1", this environment variable makes `tf.nn.bias_add` operate
    deterministically (i.e. reproducibly), but currently only when XLA JIT
    compilation is *not* enabled. Setting `TF_DETERMINISTIC_OPS` to "true" or
    "1" also makes cuDNN convolution and max-pooling operate deterministically.
    This makes Keras Conv\*D and MaxPool\*D layers operate deterministically in

- Promoted the `KubeletCrashLoopBackOffMax` feature gate to beta and enabled it by default. ([#135044](https://github.com/kubernetes/kubernetes/pull/135044), [@hankfreund](https://github.com/hankfreund))
- Selected a single device class deterministically when multiple device classes were available for an extended resource. ([#135037](https://github.com/kubernetes/kubernetes/pull/135037), [@yliaog](https://github.com/yliaog)) [SIG Node, Scheduling and Testing]

</p>

<p>
For signed integers, the operations <code>+</code>,
<code>-</code>, <code>*</code>, <code>/</code>, and <code>&lt;&lt;</code> may legally
overflow and the resulting value exists and is deterministically defined
by the signed integer representation, the operation, and its operands.
Overflow does not cause a <a href="#Run_time_panics">run-time panic</a>.