"""Converts MSYS Linux-like paths stored in env variables to Windows paths.

This is necessary on Windows, because some applications do not understand/handle
Linux-like paths MSYS uses, for example, Docker.
"""

import argparse
import os


def should_convert(var_name: str,
                   blacklist: list[str] | None,
                   whitelist_prefix: list[str] | None):

pkg sync, method (*WaitGroup) Done()
pkg sync, method (*WaitGroup) Wait()
pkg sync, type Cond struct
pkg sync, type Cond struct, L Locker
pkg sync, type Locker interface { Lock, Unlock }
pkg sync, type Locker interface, Lock()
pkg sync, type Locker interface, Unlock()
pkg sync, type Mutex struct
pkg sync, type Once struct
pkg sync, type RWMutex struct
pkg sync, type WaitGroup struct

 * <p>
 * Example usage:
 * <pre>
 * public class CustomPackagingProvider implements PackagingProvider {
 *     public Collection&lt;Packaging&gt; provides() {
 *         return Arrays.asList(
 *             packaging("docker-image"),
 *             packaging("flatpak")
 *         );
 *     }
 * }
 * </pre>
 *
 * @see org.apache.maven.api.Packaging
 * @see org.apache.maven.api.spi.ExtensibleEnumProvider
 * @since 4.0.0
 */

 * Example usage:
 * <pre>
 * public class CustomLifecycleProvider implements LifecycleProvider {
 *     public Collection&lt;Lifecycle&gt; provides() {
 *         return Collections.singleton(
 *             lifecycle("deploy-docker", Arrays.asList(
 *                 "build-image",
 *                 "tag-image",
 *                 "push-image"
 *             ))
 *         );
 *     }
 * }
 * </pre>
 *

 * public class CustomTypeProvider implements TypeProvider {
 *     public Collection<Type> provides() {
 *         return Arrays.asList(
 *             type("kotlin-library", "jar", "kotlin"),
 *             type("docker-image", "tar.gz", null)
 *         );
 *     }
 * }
 * </pre>
 *
 * @see org.apache.maven.api.Type
 * @see org.apache.maven.api.spi.ExtensibleEnumProvider
 * @since 4.0.0
 */
@Experimental
@Consumer

  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3
  # TODO(belitskiy): Add a `python3` alias/symlink to Windows Docker image.
  if [[ $(uname -s) = MSYS_NT* ]]; then
    python_bin="python"
  fi
  tfrun "$python_bin" tensorflow/tools/ci_build/update_version.py --nightly
fi

if [[ $(uname -s) != MSYS_NT* ]]; then

		if m.respErr.Load() == nil {
			xioutil.SafeClose(respHandler)
		}
	}()
	var pingTimer <-chan time.Time
	if m.deadline == 0 || m.deadline > m.clientPingInterval {
		ticker := time.NewTicker(m.clientPingInterval)
		defer ticker.Stop()
		pingTimer = ticker.C
		atomic.StoreInt64(&m.LastPong, time.Now().UnixNano())
	}
	defer m.parent.deleteMux(false, m.MuxID)
	for {
		select {
		case <-m.ctx.Done():
			if debugPrint {

OPA is enabled through MinIO's Access Management Plugin feature.

## Get started

### 1. Start OPA in a container

```sh
podman run -it \
    --name opa \
    --publish 8181:8181 \
    docker.io/openpolicyagent/opa:0.40.0-rootless \
       run --server \
           --log-format=json-pretty \
           --log-level=debug \
           --set=decision_logs.console=true
```

### 2. Create a sample OPA Policy

See the [TensorFlow install guide](https://www.tensorflow.org/install) for the
[pip package](https://www.tensorflow.org/install/pip), to
[enable GPU support](https://www.tensorflow.org/install/gpu), use a
[Docker container](https://www.tensorflow.org/install/docker), and
[build from source](https://www.tensorflow.org/install/source).

To install the current release, which includes support for

	if err != nil {
		rebalanceLogIf(ctx, fmt.Errorf("invalid workers value err: %v, defaulting to %d", err, len(pool.sets)))
		workerSize = len(pool.sets)
	}

	// Each decom worker needs one List() goroutine/worker
	// add that many extra workers.
	workerSize += len(pool.sets)

	wk, err := workers.New(workerSize)
	if err != nil {
		return err
	}

	for setIdx, set := range pool.sets {