// to build a graph operation.
  string op_type_;
  const char* op_name_ = nullptr;
  // TODO(srbs): Use this.
  string device_name_;
};

// GraphContext wraps a TF_Graph modeling a single function and manages the
// "execution" of operation, i.e. adding them to the function.
class GraphContext : public TracingContext {
 public:
  explicit GraphContext(const char* name)
      : TracingContext(kGraph),

        String[] result = invokeDistinct(input);
        assertSame(input, result);
    }

    @Test
    public void test_distinct_singleElement() {
        // Test distinct with single element
        String[] input = new String[] { "element" };
        String[] result = invokeDistinct(input);
        assertSame(input, result);
    }

    @Test
    public void test_distinct_noDuplicates() {

        });
    }

    @Test
    public void testValidUncPath() throws Exception {
        // Note: Due to normalization, all multiple backslashes are reduced to single
        // so \\server\share becomes \server\share
        String path = "\\\\server\\share\\folder";
        String normalized = validator.validatePath(path);
        assertEquals("\\server\\share\\folder", normalized);

Although you use `Depends` in the parameters of your function the same way you use `Body`, `Query`, etc, `Depends` works a bit differently.

You only give `Depends` a single parameter.

This parameter must be something like a function.

You **don't call it** directly (don't add the parenthesis at the end), you just pass it as a parameter to `Depends()`.

        runner = new OpenSearchRunner();
        runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
        })
                .build(newConfigs().clusterName("SuggesterRefactoringTest")
                        .numOfNode(1)
                        .pluginTypes("org.codelibs.opensearch.extension.ExtensionPlugin"));

<div class="termy">

```console
$ pip install sqlmodel
---> 100%
```

</div>

## Створіть застосунок з однією моделлю { #create-the-app-with-a-single-model }

Спершу створимо найпростішу версію застосунку з однією моделлю **SQLModel**.

Потім нижче покращимо безпеку і гнучкість за допомогою кількох моделей. 🤓

### Створіть моделі { #create-models }

  public static <E> ImmutableSortedSet<E> of() {
    return (ImmutableSortedSet<E>) RegularImmutableSortedSet.NATURAL_EMPTY_SET;
  }

  /** Returns an immutable sorted set containing a single element. */
  public static <E extends Comparable<? super E>> ImmutableSortedSet<E> of(E e1) {
    return new RegularImmutableSortedSet<>(ImmutableList.of(e1), Ordering.natural());
  }

  /**

 *
 * <p>To implement a multimap, a subclass must define the method {@link #createCollection()}, which
 * creates an empty collection of values for a key.
 *
 * <p>The multimap constructor takes a map that has a single entry for each distinct key. When you
 * insert a key-value pair with a key that isn't already in the multimap, {@code
 * AbstractMapBasedMultimap} calls {@link #createCollection()} to create the collection of values

![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)

## Construire une image Docker avec un FastAPI mono-fichier { #build-a-docker-image-with-a-single-file-fastapi }

Si votre FastAPI est un seul fichier, par exemple `main.py` sans répertoire `./app`, votre structure de fichiers pourrait ressembler à ceci :

```
.
├── Dockerfile
├── main.py

				crypto.MetaAlgorithm: crypto.InsecureSealAlgorithm,
				crypto.MetaMultipart: "1",
			}
			if !isMulti {
				delete(m, crypto.MetaMultipart)
			}
			return m
		}
	)

	// Single part object tests

	mkSPObj := func(s int64) ObjectInfo {
		return ObjectInfo{
			Size:        getEncSize(s),
			UserDefined: udMap(false),
		}
	}

	testSP := []struct {
		decSz int64