}
        return new PathInfo(buf.toString(), values[values.length - 1]);
    }

    /**
     * Creates an encoded parent directory ID from a path prefix.
     *
     * @param prefix the current path prefix
     * @return encoded parent directory ID, or empty string if at root
     */
    protected static String createParentId(final String prefix) {
        if (prefix == null) {

 * DFS referrals. (E.g. a resource with a DFS root's parent will still point to the DFS root not the share it's actually
 * located in).
 * - share + uncpath within it: This is the relevant information for most SMB requests. Both are adjusted by DFS
 * referrals. Nested resources will inherit the information already resolved by the parent resource.
 *
 * Invariant:

		if requestorIsDerivedCredential {
			if requestorParentUser == "" {
				writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx,
					errors.New("service accounts cannot be generated for temporary credentials without parent")), r.URL)
				return
			}
			targetUser = requestorParentUser
		}
		targetGroups = requestorGroups

		// Deny if the target user is not LDAP

}

// adbCopyTree copies testdata, go.mod, go.sum files from subdir
// and from parent directories all the way up to the root of subdir.
// go.mod and go.sum files are needed for the go tool modules queries,
// and the testdata directories for tests.  It is common for tests to
// reach out into testdata from parent packages.
func adbCopyTree(deviceCwd, subdir string) error {
	dir := ""
	for {

## Pydantic `Settings` { #pydantic-settings }

Felizmente, o Pydantic fornece uma ótima utilidade para lidar com essas configurações vindas de variáveis de ambiente com <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>.

### Instalar `pydantic-settings` { #install-pydantic-settings }

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

name: PyLint
on:
  pull_request:
    paths:
      - '**.py'

permissions:
  contents: read

jobs:
  build:
    name: PyLint
    runs-on: ubuntu-latest
    steps:
    - name: Checkout code
      uses: actions/checkout@1af3b93b6815bc44a9784bd300feb67ff0d1eeb3 # v6.0.0
    - name: Get file changes
      id: get_file_changes

    }

    /**
     * Stores child URLs found in the response data.
     *
     * @param crawlerContext the crawler context
     * @param childUrlList the set of child URLs
     * @param url the parent URL
     * @param depth the depth of the child URLs
     * @param encoding the encoding of the child URLs
     */

    /**
     * Get a list of available versions for an artifact in the remote deployment repository. This ignores any update
     * policy checks and mirrors and always retrieves the latest information from the given repository.
     *
     * @param artifact artifact we are interested in. Only <code>groupid</code> and <code>artifactId</code> are
     *            needed, for instance the following code will work

	Host      string `json:"host"`
	Port      string `json:"port"`
	UserAgent string `json:"userAgent"`
}

// Event represents event notification information defined in
// http://docs.aws.amazon.com/AmazonS3/latest/dev/notification-content-structure.html.
type Event struct {
	EventVersion      string            `json:"eventVersion"`
	EventSource       string            `json:"eventSource"`