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)

            @Override
            public String toString() {
                return "Entry(" + name + ")";
            }
        };
    }

    // Controllable concrete subclass to drive behavior deterministically
    private static class TestIterator extends DirFileEntryEnumIteratorBase {
        private static FileEntry staticInitial;
        private static List<FileEntry[]> staticPages;

        if (var.equalsType(t)) {
          // cycle detected, remove the entire cycle from the mapping so that
          // each type variable resolves deterministically to itself.
          // Otherwise, an F -> T cycle will end up resolving both F and T
          // nondeterministically to either F or T.

			config.EnvRootUser, config.EnvRootPassword)
		logger.Info(color.RedBold(msg))
	}
	globalCredViaEnv = true
	return cred
}

// autoGenerateRootCredentials generates root credentials deterministically if
// a KMS is configured, no manual credentials have been specified and if root
// access is disabled.
func autoGenerateRootCredentials() auth.Credentials {
	if GlobalKMS == nil {
		return globalActiveCred
	}

* Marked NodePhase deprecated. ([#30005](https://github.com/kubernetes/kubernetes/pull/30005), [@dchen1107](https://github.com/dchen1107))
* Name the job created by scheduledjob (sj) deterministically with sj's name and a hash of job's scheduled time. ([#30420](https://github.com/kubernetes/kubernetes/pull/30420), [@janetkuo](https://github.com/janetkuo))

    "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>.