with:
          name: SARIF file
          path: results.sarif
          retention-days: 5

      # Upload the results to GitHub's code scanning dashboard (optional).
      # Commenting out will disable upload of results to your repo's Code Scanning dashboard
      - name: "Upload to code-scanning"
        uses: github/codeql-action/upload-sarif@3c3833e0f8c1c83d449a7478aa59c036a9165498 # v3.29.5
        with:

# Declare default permissions as read only.
permissions: read-all

jobs:
  analysis:
    name: Scorecard analysis
    runs-on: ubuntu-latest
    permissions:
      # Needed to upload the results to code-scanning dashboard.
      security-events: write
      # Needed to publish results and get a badge (see publish_results below).
      id-token: write
      # Uncomment the permissions below if installing in a private repository.

You also define in some way at which **moments** your app will send those requests or events.

And **your users** define in some way (for example in a web dashboard somewhere) the **URL** where your app should send those requests.

        assertEquals("/admin/badword/admin_badword.jsp", FessHtmlPath.path_AdminBadword_AdminBadwordJsp.getRoutingPath());
        assertEquals("/admin/dashboard/admin_dashboard.jsp", FessHtmlPath.path_AdminDashboard_AdminDashboardJsp.getRoutingPath());
        assertEquals("/admin/general/admin_general.jsp", FessHtmlPath.path_AdminGeneral_AdminGeneralJsp.getRoutingPath());

        assertTrue(urlFilter.match("https://example.com/document.pdf"));
        assertFalse(urlFilter.match("https://example.com/image.jpg"));
        assertFalse(urlFilter.match("https://example.com/admin/dashboard"));
        assertFalse(urlFilter.match("https://other.com/page.html"));
    }

    /**
     * Test match with no patterns configured
     */
    public void test_match_noPatterns() {

    now allows you to instrument a TensorFlow program and dump debugging
    information to a directory on the file system. The directory can be read and
    visualized by a new interactive dashboard in TensorBoard 2.3 called
    [Debugger V2](https://www.tensorflow.org/tensorboard/debugger_v2), which
    reveals the details of the TensorFlow program including graph structures,