//     Those cannot be well described when embedded.
//  3. Inconsistent validation.  Because the usages are different, the validation rules are different by usage, which makes it hard for users to predict what will happen.
//  4. The fields are both imprecise and overly precise.  Kind is not a precise mapping to a URL. This can produce ambiguity

    yield
    # Clean up the ML models and release the resources
    ml_models.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/predict")
async def predict(x: float):
    result = ml_models["answer_to_everything"](x)
    return {"result": result}
```

**Note**: This is the recommended way going forward, instead of using `startup` and `shutdown` events.

    checkState(count() > 1);
    return sumOfProductsOfDeltas / (count() - 1);
  }

  /**
   * Returns the <a href="http://mathworld.wolfram.com/CorrelationCoefficient.html">Pearson's or
   * product-moment correlation coefficient</a> of the values. The count must greater than one, and
   * the {@code x} and {@code y} values must both have non-zero population variance (i.e. {@code

    checkState(count() > 1);
    return sumOfProductsOfDeltas / (count() - 1);
  }

  /**
   * Returns the <a href="http://mathworld.wolfram.com/CorrelationCoefficient.html">Pearson's or
   * product-moment correlation coefficient</a> of the values. The count must greater than one, and
   * the {@code x} and {@code y} values must both have non-zero population variance (i.e. {@code

    unfiltered.put("foo", 55556);
    unfiltered.put("badkey", 1);
    return Multimaps.filterEntries(unfiltered, ENTRY_PREDICATE);
  }

  private static final Predicate<String> KEY_PREDICATE =
      new Predicate<String>() {
        @Override
        public boolean apply(String key) {
          return !"badkey".equals(key);
        }
      };

  public void testFilterKeys() {

# NOTE: These are not valid JSON:API resources
# but they are fine for testing requestBody with custom media_type
class Product(BaseModel):
    name: str
    price: float


class Shop(BaseModel):
    name: str


@app.post("/products")
async def create_product(data: Product = Body(media_type=media_type, embed=True)):
    pass  # pragma: no cover


@app.post("/shops")
async def create_shop(

         * The result will contain only the paths of types for which the predicate returned {@code true}.
         * It is recommended to apply a filter for retaining only the types of paths of interest,
         * because it can resolve ambiguities when a path could be of many types.
         *
         * @param pathTypeFilter predicate evaluating whether a path type should be included in the result

    unfiltered.put("horse", 5);
    Predicate<Entry<?, ?>> predicate =
        new Predicate<Entry<?, ?>>() {
          @Override
          public boolean apply(Entry<?, ?> input) {
            return "cat".equals(input.getKey()) || Integer.valueOf(2) == input.getValue();
          }
        };
    Map<String, Integer> filtered = Maps.filterEntries(unfiltered, predicate);

    unfiltered.put("horse", 5);
    Predicate<Entry<?, ?>> predicate =
        new Predicate<Entry<?, ?>>() {
          @Override
          public boolean apply(Entry<?, ?> input) {
            return "cat".equals(input.getKey()) || Integer.valueOf(2) == input.getValue();
          }
        };
    Map<String, Integer> filtered = Maps.filterEntries(unfiltered, predicate);

      Predicate<T> predicate) {
    return new PredicateFunction<>(predicate);
  }

  /** @see Functions#forPredicate */
  private static class PredicateFunction<T extends @Nullable Object>
      implements Function<T, Boolean>, Serializable {
    private final Predicate<T> predicate;

    private PredicateFunction(Predicate<T> predicate) {
      this.predicate = checkNotNull(predicate);
    }

    @Override