"R0.00, R1.38, R1.13", // #3, after that the rate changes
        "R0.88", // #4, this is what the throttling would be with the old rate
        "R0.34, R0.28, R0.25, R0.25", // #5
        "U4.25", // #6
        "R0.00, R0.72, R0.66, R0.59, R0.53, R0.47, R0.41", // #7
        "R0.34, R0.28, R0.25, R0.25"); // #7 (cont.), note, this matches #5
  }

  public void testWarmUpAndUpdateWithColdFactor() {

If you have this specific use case using SQLModel (or SQLAlchemy), you could explicitly close the session after you don't need it anymore:

{* ../../docs_src/dependencies/tutorial014_an_py310.py ln[24:28] hl[28] *}

That way the session would release the database connection, so other requests could use it.

	_ = x[ErrInvalidRequestBody-23]
	_ = x[ErrInvalidCopySource-24]
	_ = x[ErrInvalidMetadataDirective-25]
	_ = x[ErrInvalidCopyDest-26]
	_ = x[ErrInvalidPolicyDocument-27]
	_ = x[ErrInvalidObjectState-28]
	_ = x[ErrMalformedXML-29]
	_ = x[ErrMissingContentLength-30]
	_ = x[ErrMissingContentMD5-31]
	_ = x[ErrMissingRequestBodyError-32]
	_ = x[ErrMissingSecurityHeader-33]
	_ = x[ErrNoSuchBucket-34]

dedkot01:
  login: dedkot01
  count: 28
  avatarUrl: https://avatars.githubusercontent.com/u/26196675?u=e2966887124e67932853df4f10f86cb526edc7b0&v=4
  url: https://github.com/dedkot01
hsuanchi:
  login: hsuanchi
  count: 28
  avatarUrl: https://avatars.githubusercontent.com/u/24913710?u=7d25a398e478b6e63503bf6f26c54efa9e0da07b&v=4
  url: https://github.com/hsuanchi
dpinezich:
  login: dpinezich
  count: 28

Si tienes este caso de uso específico usando SQLModel (o SQLAlchemy), podrías cerrar explícitamente la sesión después de que ya no la necesites:

{* ../../docs_src/dependencies/tutorial014_an_py310.py ln[24:28] hl[28] *}

De esa manera la sesión liberaría la conexión a la base de datos, para que otras requests puedan usarla.

          },
          "unit": "none"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 5,
        "w": 6,
        "x": 18,
        "y": 5
      },
      "id": 28,
      "options": {
        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {

    }
    taskFaker.runNextTask()

    // Check that a rebuilt journal behaves normally.
    assertValue("a", "a", "a")
    assertValue("b", "b", "b")
  }

  /** @see [Issue 28](https://github.com/JakeWharton/DiskLruCache/issues/28) */
  @Test
  fun rebuildJournalOnRepeatedReadsWithOpenAndClose() {
    set("a", "a", "a")
    set("b", "b", "b")
    while (taskFaker.isIdle()) {
      assertValue("a", "a", "a")

apply fixes to bugs or security vulnerabilities:

*   Clone the TensorFlow repository and switch to the appropriate branch for
    your desired version—for example, `r2.8` for version 2.8.
*   Apply the desired changes (i.e., cherry-pick them) and resolve any code
    conflicts.
*   Run TensorFlow tests and ensure they pass.
*   [Build](https://www.tensorflow.org/install/source) the TensorFlow pip

Wenn Sie diesen spezifischen Anwendungsfall mit SQLModel (oder SQLAlchemy) haben, könnten Sie die Session explizit schließen, nachdem Sie sie nicht mehr benötigen:

{* ../../docs_src/dependencies/tutorial014_an_py310.py ln[24:28] hl[28] *}

Auf diese Weise würde die Session die Datenbankverbindung freigeben, sodass andere Requests sie verwenden könnten.

	return