We will create a FastAPI **dependency** with `yield` that will provide a new `Session` for each request. This is what ensures that we use a single session per request. 🤓

Then we create an `Annotated` dependency `SessionDep` to simplify the rest of the code that will use this dependency.

      b.append(',').append(' ');
    }
  }

  /**
   * Saves the state to a stream (that is, serializes it).
   *
   * @serialData The length of the array is emitted (int), followed by all of its elements (each a
   *     {@code double}) in the proper order.
   */
  private void writeObject(ObjectOutputStream s) throws IOException {
    s.defaultWriteObject();

    // Write out array length
    int length = length();

   * plus the given elements, according to {@link #expectContents(java.util.Collection)}. In other
   * words, for the default {@code expectContents()} implementation, the number of occurrences of
   * each given element has increased by one since the test collection was created, and the number
   * of occurrences of all other elements has not changed.
   *

And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

And it will be annotated / documented accordingly too.

## Nested Models { #nested-models }

Each attribute of a Pydantic model has a type.

But that type can itself be another Pydantic model.

So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.

      FeatureSpecificTestSuiteBuilder<
              ?, ? extends OneSizeTestContainerGenerator<Map<K, V>, Entry<K, V>>>
          parentBuilder) {
    // TODO: Once invariant support is added, supply invariants to each of the
    // derived suites, to check that mutations to the derived collections are
    // reflected in the underlying map.

    List<TestSuite> derivedSuites = super.createDerivedSuites(parentBuilder);

 * available online).
 * <p>
 * Direct ACEs are evaluated first in order. The SID of the user performing
 * the operation and the desired access bits are compared to the SID
 * and access mask of each ACE. If the SID matches, the allow/deny flags
 * and access mask are considered. If the ACE is a "deny"
 * ACE and <i>any</i> of the desired access bits match bits in the access

            for (int i = 0; i < 1000; i++) {
                Path pomPath = Paths.get("module" + i + "/pom.xml");
                largePomSet = Set.of(pomPath); // Note: This creates a new set each time in the loop
            }

            long startTime = System.currentTimeMillis();
            UpgradeResult result = new UpgradeResult(largePomSet, largePomSet, Set.of());

Und Sie könnten dies auch tun, wenn der Datentyp im Request nicht JSON ist.

In der folgenden Anwendung verwenden wir beispielsweise weder FastAPIs integrierte Funktionalität zum Extrahieren des JSON-Schemas aus Pydantic-Modellen noch die automatische Validierung für JSON. Tatsächlich deklarieren wir den Request-Content-Type als YAML und nicht als JSON:

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[15:20, 22] *}

	if path == "/" {
		return notFoundHandler
	}

	if isListingRequest {
		handler := h.listMetrics(path)
		if handler == nil {
			return notFoundHandler
		}
		return handler
	}

	// In each of the following cases, we check if the collect path is a
	// descendant of `path`, and if so, we add the corresponding gatherer to
	// the list of gatherers. This way, /api/a will return all metrics returned

			return dst, io.EOF
		}
	}
	// Read until next line.
	in, err := r.buf.ReadBytes('\n')
	dst = append(dst, in...)
	return dst, err
}

// jsonSplitSize is the size of each block.
// Blocks will read this much and find the first following newline.
// 128KB appears to be a very reasonable default.
const jsonSplitSize = 128 << 10