* determining whether a given domain name is an effective top-level domain (public suffix).
 *
 * <p>Because this class is used in GWT, the data members are stored in a space-efficient manner.
 * See {@link TrieParser}.
 *
 * @since 16.0
 */
@GwtCompatible
@Beta
public final class PublicSuffixPatterns {
  private PublicSuffixPatterns() {}

        // Leading and trailing spaces
        value = " value1 , value2 , value3 ";
        result = KuromojiCSVUtil.parse(value);
        assertEquals(3, result.length);
        assertEquals(" value1 ", result[0]);
        assertEquals(" value2 ", result[1]);
        assertEquals(" value3 ", result[2]);

        // Spaces in quoted values
        value = "\" spaced value \",\"  another  \"";

- Kubeadm: fixed missing space when printing the warning about pause image mismatch. ([#131563](https://github.com/kubernetes/kubernetes/pull/131563), [@logica0419](https://github.com/logica0419)) [SIG Cluster Lifecycle]

- `kubeadm`: updated warning message when swap space is detected. When swap is
  active on Linux, `kubeadm` explains that swap is supported for cgroup v2 only and

* Bug fixes

  * Changed Kubelet default image-gc-high-threshold to 85% to resolve a conflict with default settings in docker that prevented image garbage collection from resolving low disk space situations when using devicemapper storage. ([#40432](https://github.com/kubernetes/kubernetes/pull/40432), [@sjenning](https://github.com/sjenning))

## Modèles d'apprentissage automatique avec spaCy et FastAPI

GitHub : <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>

## Modèles d'apprentissage automatique avec spaCy et FastAPI - Fonctionnalités

* Intégration d'un modèle NER **spaCy**.
* Formatage de requête pour **Azure Cognitive Search**.

transparent transparent}.pace-center-radar-secondary .pace .pace-activity::before{border-color:#6c757d transparent transparent}.pace-center-simple-secondary .pace{background:#fff;border-color:#6c757d}.pace-center-simple-secondary .pace .pace-progress{background:#6c757d}.pace-material-secondary .pace{color:#6c757d}.pace-corner-indicator-secondary .pace .pace-activity{background:#6c757d}.pace-corner-indicator-secondary .pace .pace-activity::after,.pace-corner-indicator-secondary .pace .pace-activity::before{border:5px...

## Machine Learning modelleri, spaCy ve FastAPI

GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>

### Machine Learning modelleri, spaCy ve FastAPI - Features

* **spaCy** NER model entegrasyonu.
* **Azure Cognitive Search** yerleşik istek biçimi.

## Modelle für maschinelles Lernen mit spaCy und FastAPI

GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>

### Modelle für maschinelles Lernen mit spaCy und FastAPI – Funktionen

* **spaCy** NER-Modellintegration.
* **Azure Cognitive Search**-Anforderungsformat integriert.

## Модели машинного обучения на основе spaCy и FastAPI

GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>

### Модели машинного обучения на основе spaCy и FastAPI - Особенности

* Интеграция с моделями **spaCy** NER.
* Встроенный формат запросов к **когнитивному поиску Azure**.