name: Scorecard supply-chain security
on:
  # For Branch-Protection check. Only the default branch is supported. See
  # https://github.com/ossf/scorecard/blob/main/docs/checks.md#branch-protection
  branch_protection_rule:
  # To guarantee Maintained check is occasionally updated. See
  # https://github.com/ossf/scorecard/blob/main/docs/checks.md#maintained
  schedule:
    - cron: '45 9 * * 0'
  push:
    branches: [ "master" ]

        fileProtocols[fileProtocols.length - 1] = prefix;
    }

    /**
     * Checks if the given URL is a file path protocol that requires directory and permission handling.
     * Used for incremental crawling directory detection and file permission processing.
     *
     * @param url the URL to check
     * @return true if the URL uses a file path protocol (smb, smb1, file, ftp, s3, gcs)
     */

      // Allowed in case test doesn't have privs
    }
  }

  /**
   * Checks that thread does not terminate within the default millisecond delay of {@code
   * timeoutMillis()}.
   */
  void assertThreadStaysAlive(Thread thread) throws InterruptedException {
    assertThreadStaysAlive(thread, timeoutMillis());
  }

  /** Checks that thread does not terminate within the given millisecond delay. */

And to create `fluffy`, you are "calling" `Cat`.

So, a Python class is also a **callable**.

Then, in **FastAPI**, you could use a Python class as a dependency.

What FastAPI actually checks is that it is a "callable" (function, class or anything else) and the parameters defined.

permissions:
  contents: read

env:
  GRADLE_OPTS: "-Dorg.gradle.jvmargs=-Xmx4g -Dorg.gradle.daemon=false -Dkotlin.incremental=false"

jobs:
  test_docs:
    permissions:
      checks: write # for actions/upload-artifact
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/master' || contains(github.event.pull_request.labels.*.name, 'documentation')

    steps:
      - name: Checkout

     */
    void setObjectTags(String objectName, Map<String, String> tags);

    /**
     * Ensures the bucket exists, creating it if necessary.
     */
    void ensureBucketExists();

    /**
     * Checks if storage is properly configured and accessible.
     *
     * @return true if storage is available
     */
    boolean isAvailable();

    /**
     * Closes the client and releases resources.
     */

{* ../../docs_src/path_params/tutorial002_py39.py hl[7] *}

In this case, `item_id` is declared to be an `int`.

/// check

This will give you editor support inside of your function, with error checks, completion, etc.

///

## Data <abbr title="also known as: serialization, parsing, marshalling">conversion</abbr> { #data-conversion }

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

You also get error checks for incorrect type operations:

<img src="/img/tutorial/body/image04.png">

This is not by chance, the whole framework was built around that design.

          NANOSECONDS.timedWait(lock, nanos);
          nanos -= System.nanoTime() - now; // subtract the actual time we waited
        }
      }
    }
  }

  /**
   * Checks if the executor has been shut down and increments the running task count.
   *
   * @throws RejectedExecutionException if the executor has been previously shutdown
   */
  private void startTask() {

          native-image-job-reports: true

      - name: Setup Gradle
        uses: gradle/actions/setup-gradle@v5

      - name: Run Checks
        run: ./gradlew check -PgraalBuild=true -x jvmTest -x test

  testopenjdk11:
    permissions:
      checks: write # for mikepenz/action-junit-report
    runs-on: ubuntu-latest

    steps:
      - name: Checkout
        uses: actions/checkout@v6