@ElementTypesAreNonnullByDefault
public interface Interner<E> {
  /**
   * Chooses and returns the representative instance for any of a collection of instances that are
   * equal to each other. If two {@linkplain Object#equals equal} inputs are given to this method,
   * both calls will return the same instance. That is, {@code intern(a).equals(a)} always holds,
   * and {@code intern(a) == intern(b)} if and only if {@code a.equals(b)}. Note that {@code

    private static final String ITEM_ENDPOINT_SUFFIX = "setting";
    private static final String DICT_TYPE = "mapping";

    private static final String KEY_PROPERTY = "inputs";

    @Override
    protected String getNamePrefix() {
        return NAME_PREFIX;
    }

    @Override
    protected String getApiPath() {
        return API_PATH;
    }

    @Override

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["query", "tool"],
            "msg": "Extra inputs are not permitted",
            "input": "plumbus"
        }
    ]
}
```

## Resumo

Você pode utilizar **modelos Pydantic** para declarar **parâmetros de consulta** no **FastAPI**. 😎

/// tip | Dica

                        "msg": "Input should be less than or equal to 100",
                        "input": "150",
                        "ctx": {"le": 100},
                    },
                    {
                        "type": "greater_than_equal",
                        "loc": ["query", "offset"],
                        "msg": "Input should be greater than or equal to 0",

  private static void assertMacHashing(
      byte[] input, String algorithm, SecretKey key, HashFunction hashFunc) throws Exception {
    Mac mac = Mac.getInstance(algorithm);
    mac.init(key);
    mac.update(input);

    assertEquals(HashCode.fromBytes(mac.doFinal()), hashFunc.hashBytes(input));
    assertEquals(HashCode.fromBytes(mac.doFinal(input)), hashFunc.hashBytes(input));
  }

                "detail": [
                    {
                        "type": "extra_forbidden",
                        "loc": ["cookie", "extra"],
                        "msg": "Extra inputs are not permitted",
                        "input": "track-me-here-too",
                    }
                ]
            }
        )
        | IsDict(
            # TODO: remove when deprecating Pydantic v1
            {

  TF_Operation* neg = Neg(feed, func_graph.get(), s.get());

  TF_Output inputs[] = {{feed, 0}};
  TF_Output outputs[] = {{neg, 0}};
  *func = TF_GraphToFunction(func_graph.get(), name, append_hash, -1,
                             /*opers=*/nullptr, 1, inputs, 1, outputs,
                             /*output_names=*/nullptr,
                             /*opts=*/nullptr, description, s.get());

  }

  private static void assertSip(String input, long expected) {
    assertEquals(expected, SIP_WITH_KEY.hashString(input, UTF_8).asLong());
    assertEquals(expected, SIP_WITH_KEY.newHasher().putString(input, UTF_8).hash().asLong());
    assertEquals(expected, SIP_WITHOUT_KEY.hashString(input, UTF_8).asLong());
    assertEquals(expected, SIP_WITHOUT_KEY.newHasher().putString(input, UTF_8).hash().asLong());
  }

  }

  private static void assertSip(String input, long expected) {
    assertEquals(expected, SIP_WITH_KEY.hashString(input, UTF_8).asLong());
    assertEquals(expected, SIP_WITH_KEY.newHasher().putString(input, UTF_8).hash().asLong());
    assertEquals(expected, SIP_WITHOUT_KEY.hashString(input, UTF_8).asLong());
    assertEquals(expected, SIP_WITHOUT_KEY.newHasher().putString(input, UTF_8).hash().asLong());
  }

TF_Operation* RandomUniform(TF_Operation* shape, TF_DataType dtype,
                            TF_Graph* graph, TF_Status* s);

// Split `input` along the first dimension into 3 tensors
TF_Operation* Split3(TF_Operation* input, TF_Graph* graph, TF_Status* s,
                     const char* name = "split3");

bool IsPlaceholder(const tensorflow::NodeDef& node_def);