## Bug Fixes and Other Changes

*   tf.data:
    *   tf.data users can now represent, get, and set options of TensorFlow
        input pipelines using `tf.data.Options()`, `tf.data.Dataset.options()`,
        and `tf.data.Dataset.with_options()` respectively.
    *   New `tf.data.Dataset.reduce()` API allows users to reduce a finite
        dataset to a single element using a user-provided reduce function.

  </ResponseMetadata>
</AssumeRoleResponse>
```

## Using AssumeRole API

```
export MINIO_ROOT_USER=minio
export MINIO_ROOT_PASSWORD=minio123
minio server ~/test
```

Create new users following the multi-user guide [here](https://docs.min.io/community/minio-object-store/administration/identity-access-management.html)

### Testing an example with awscli tool

```

### Run MinIO Docker as a regular user

Docker provides standardized mechanisms to run docker containers as non-root users.

#### GNU/Linux and macOS (regular user)

On Linux and macOS you can use `--user` to run the container as regular user.

> NOTE: make sure --user has write permission to *${HOME}/data* prior to using `--user`.

```sh
mkdir -p ${HOME}/data
docker run \

 * between time measurements.
 * <p>
 * This implementation is singleton-based and always uses UTC timezone. The clock
 * cannot be adjusted to different timezones to maintain consistent monotonic behavior.
 * Users needing local time representation should convert the result of {@link #instant()}
 * to their desired timezone:
 * <pre>{@code
 * Instant now = MonotonicClock.now();

     * {@link Session#resolveDependencies resolveDependencies(...)} when at least one dependency
     * cannot be associated to any type specified in the {@code desiredTypes} argument.
     * Plugins can choose to report a warning to users when unresolved paths exist.
     */
    PathType UNRESOLVED = new PathType() {
        @Override
        public String name() {
            return "UNRESOLVED";
        }

        @Override

	}
	versionID = fi.VersionID
	if versionID == "" {
		versionID = nullVersionID
	}

	fi.Data = inData.find(versionID)
	if len(fi.Data) == 0 {
		// PR #11758 used DataDir, preserve it
		// for users who might have used master
		// branch
		fi.Data = inData.find(fi.DataDir)
	}
	return fi, nil
}

// hashDeterministicString will return a deterministic hash for the map values.

1. Export existing PodSecurityPolicy objects:
  * `kubectl get podsecuritypolicies -o yaml > psp.yaml`
2. Review and delete any PodSecurityPolicy objects you do not want all pod-creating users to be able to use (NOTE: Privileged users that were making use of those policies will also lose access to those policies). For example:
  * `kubectl delete podsecuritypolicies/my-privileged-policy`
3. After upgrading to 1.5.5, re-create the exported PodSecurityPolicy objects:

import jcifs.smb.SID;
import jcifs.util.Hexdump;

/**
 * An Access Control Entry (ACE) is an element in a security descriptor
 * such as those associated with files and directories. The Windows OS
 * determines which users have the necessary permissions to access objects
 * based on these entries.
 * <p>
 * To fully understand the information exposed by this class a description

`BaseUser` tiene los campos base. Luego `UserIn` hereda de `BaseUser` y añade el campo `password`, por lo que incluirá todos los campos de ambos modelos.

Anotamos el tipo de retorno de la función como `BaseUser`, pero en realidad estamos devolviendo una instancia de `UserIn`.

  /**
   * Returns the composition of two functions. For {@code f: A->B} and {@code g: B->C}, composition
   * is defined as the function h such that {@code h(a) == g(f(a))} for each {@code a}.
   *
   * <p><b>JRE users and Android users who opt in to library desugaring:</b> use {@code
   * g.compose(f)} or (probably clearer) {@code f.andThen(g)} instead. Note that it is not
   * serializable.
   *
   * @param g the second function to apply