Mas o **FastAPI** saberá que precisa solucionar `query_extractor` primeiro, para passar o resultado para `query_or_cookie_extractor` enquanto chama a função.

///

```mermaid
graph TB

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

read_query["/items/"]

query_extractor --> query_or_cookie_extractor --> read_query
```

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import java.util.Arrays;
import java.util.Collection;
import org.jspecify.annotations.NullUnmarked;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;

package com.google.common.graph;

import static com.google.common.truth.Truth.assertThat;
import static org.junit.Assert.assertThrows;

import com.google.common.collect.ImmutableSet;
import java.util.HashSet;
import java.util.Set;
import org.jspecify.annotations.NullUnmarked;
import org.junit.Before;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;

@RunWith(JUnit4.class)
@NullUnmarked

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import java.util.Arrays;
import java.util.Collection;
import org.jspecify.annotations.NullUnmarked;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;

该函数接收的参数与*路径操作函数*的参数相同。

/// tip | 提示

下一章会介绍除了函数之外，还有哪些“东西”可以用作依赖项。

///

接收到新的请求时，**FastAPI** 会负责：

* 用正确的参数调用你的依赖项（“dependable”）函数
* 获取函数返回的结果
* 将该结果赋值给你的*路径操作函数*中的参数

```mermaid
graph TB

common_parameters(["common_parameters"])
read_items["/items/"]
read_users["/users/"]

common_parameters --> read_items
common_parameters --> read_users
```

В Pydantic **не поддерживается** ситуация, когда в одной модели Pydantic v2 используются поля, определённые как модели Pydantic v1, и наоборот.

```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]
            V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]

            PerformanceTest(
                model,
                stage,
                flameGraphGenerationBuildSpec,
                description =
                    "Flame graphs with $profiler for ${performanceScenario.scenario.scenario} | ${performanceScenario.testProject} " +
                        "on ${os.asName()} (bucket $bucketIndex)",
                performanceSubProject = "performance",

      <distribution>repo</distribution>
    </license>
  </licenses>

  <developers>
    <!-- Sonatype requires that we list someone here. Guava has many contributors: https://github.com/google/guava/graphs/contributors -->
    <developer>
      <id>cpovirk</id>
      <name>Chris Povirk</name>
      <email>******@****.***</email>
    </developer>
  </developers>

  <scm>

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import static com.google.common.truth.Truth.assertThat;

import org.jspecify.annotations.NullUnmarked;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;

     * Note that this node will not be filtered and only the children
     * and its descendant will be checked.
     *
     * @param filter the filter to apply
     * @return a new filtered graph
     */
    @Nonnull
    Node filter(@Nonnull Predicate<Node> filter);

    /**
     * Returns a detailed string representation of this dependency node.
     * <p>