# Security Policy

Security is very important for FastAPI and its community. 🔒

Learn more about it below. 👇

## Versions

The latest version of FastAPI is supported.

You are encouraged to [write tests](https://fastapi.tiangolo.com/tutorial/testing/) for your application and update your FastAPI version frequently after ensuring that your tests are passing. This way you will benefit from the latest features, bug fixes, and **security fixes**.

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package disk

import "strconv"

// fsType2StringMap - list of filesystems supported on linux
var fsType2StringMap = map[string]string{
	"1021994":  "TMPFS",
	"137d":     "EXT",
	"4244":     "HFS",
	"4d44":     "MSDOS",
	"52654973": "REISERFS",
	"5346544e": "NTFS",
	"58465342": "XFS",

of selectors to accommodate both [equality-based selectors](http://kubernetes.io/docs/user-guide/labels/#equality-based-requirement) supported by ReplicationControllers and [set-based selectors](http://kubernetes.io/docs/user-guide/labels/#set-based-requirement) supported by Deployments and ReplicaSets.
  * “kubectl run” now produces Deployments (instead of ReplicationControllers) and
Jobs (instead of Pods) by default.

  GENERAL_PURPOSE(
      CollectionFeature.GENERAL_PURPOSE,
      SUPPORTS_SET,
      SUPPORTS_ADD_WITH_INDEX,
      SUPPORTS_REMOVE_WITH_INDEX),

  /** Features supported by lists where only removal is allowed. */
  REMOVE_OPERATIONS(CollectionFeature.REMOVE_OPERATIONS, SUPPORTS_REMOVE_WITH_INDEX);

  private final Set<Feature<? super List>> implied;

        throw new UnsupportedOperationException("RDMA read not supported by TCP fallback");
    }

    @Override
    public void rdmaWrite(RdmaMemoryRegion localRegion, long remoteAddress, int remoteKey, int length) throws IOException {
        // TCP fallback doesn't support real RDMA write
        throw new UnsupportedOperationException("RDMA write not supported by TCP fallback");
    }

    @Override

В Pydantic **не поддерживается** ситуация, когда в одной модели Pydantic v2 используются поля, определённые как модели Pydantic v1, и наоборот.

```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]
            V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]
            V2Field["Pydantic v2 Model"]
        end

FLAGS:
  {{range .VisibleFlags}}{{.}}
  {{end}}{{end}}
VERSION:
  {{.Version}}
`

func newApp(name string) *cli.App {
	// Collection of minio commands currently supported are.
	commands := []cli.Command{}

	// Collection of minio commands currently supported in a trie tree.
	commandsTree := trie.NewTrie()

	// registerCommand registers a cli command.
	registerCommand := func(command cli.Command) {

Não é **suportado** pelo Pydantic ter um modelo do Pydantic v2 com campos próprios definidos como modelos do Pydantic v1, ou vice-versa.

```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]
            V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]
            V2Field["Pydantic v2 Model"]
        end

#include "tensorflow/core/platform/status.h"

namespace tensorflow {

class FunctionRecord;

// A traced function: this hides the complexity of converting the serialized
// representation between various supported formats e.g. FunctionDef and Mlir
// function.
class AbstractFunction : public core::RefCounted {
 protected:
  enum AbstractFunctionKind { kGraph, kMlir };

 */
public enum DirectoryCacheScope {
    /**
     * Cache only direct children of the directory
     */
    IMMEDIATE_CHILDREN,

    /**
     * Cache entire subtree recursively (if supported by server)
     */
    RECURSIVE_TREE,

    /**
     * Cache only file attributes but not content
     */
    METADATA_ONLY,

    /**
     * Cache complete directory listing including all metadata