# Templates { #templates }

You can use any template engine you want with **FastAPI**.

A common choice is Jinja2, the same one used by Flask and other tools.

There are utilities to configure it easily that you can use directly in your **FastAPI** application (provided by Starlette).

## Install dependencies { #install-dependencies }

namespace tensorflow {
namespace checkpoint {

class TensorSliceReader;

// A wrapper around BundleReader (for V2 checkpoints) and
// checkpoint::TensorSliceReader (for V1), that is more easily SWIG wrapped for
// other languages.
//
// The class currently only interacts with single-slice (i.e., non-partitioned)
// variables.
class CheckpointReader {
 public:

Check how deprecated and non-deprecated *path operations* look like:

<img src="/img/tutorial/path-operation-configuration/image05.png">

## Recap { #recap }

import java.util.Iterator;
import java.util.Set;
import org.jspecify.annotations.Nullable;

/**
 * This class provides a skeletal implementation of the {@link Multiset} interface. A new multiset
 * implementation can be created easily by extending this class and implementing the {@link
 * Multiset#entrySet()} method, plus optionally overriding {@link #add(Object, int)} and {@link
 * #remove(Object, int)} to enable modifications to the multiset.
 *

## Quickstart

To easily try out the feature, run the included demo Access Management Plugin program in this directory:

```sh
go run access-manager-plugin.go
```

/**
 * Holds a model along with some auxiliary information. This internal utility class assists the model builder during POM
 * processing by providing a means to transport information that cannot be (easily) extracted from the model itself.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
class ModelData {
    private final ModelSource source;

    }

    /**
     * We use this to map all phases to the lifecycle that contains it. This is used so that a user can specify the
     * phase they want to execute, and we can easily determine what lifecycle we need to run.
     *
     * @return A map of lifecycles, indexed on id
     */
    public Map<String, Lifecycle> getPhaseToLifecycleMap() {

// arena it may have been allocated from, returning the copy. If it was not
// allocated from an arena, it is returned untouched. This function is useful
// to more easily let an arena-allocated value out-live its arena.
// T must be a pointer, a slice, or a string, otherwise this function will panic.
func Clone[T any](s T) T {
	return runtime_arena_heapify(s).(T)
}

    # o playSqlDirectory: (NotRequired - Default 'playsql' relative to DBFlute client)
    #  This property is relative path to (main) PlaySql directory,
    #  You should not use this property easily.
    #
    #; playSqlDirectory = ../../foo-project/playsql
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

In GitHub, the template will guide you to write the right question so that you can more easily get a good answer, or even solve the problem yourself even before asking. And in GitHub I can make sure I always answer everything, even if it takes some time. I can't personally do that with the chat systems. 😅