* Pydantic también permite representarlo como una "codificación de diferencia horaria ISO 8601", [consulta la documentación para más información](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers).
* `frozenset`:
    * En requests y responses, tratado igual que un `set`:
        * En requests, se leerá una list, eliminando duplicados y convirtiéndola en un `set`.

    /**
     * Index of element returned by most recent call to next. Reset to -1 if this element is deleted
     * by a call to remove.
     */
    private int lastRet;

    Itr() {
      lastRet = -1;
      if (count == 0) nextIndex = -1;
      else {
        nextIndex = takeIndex;
        nextItem = items[takeIndex];
      }
    }

    @Override

It was found that the directory staging committer was the fastest among the three, S3A connector should be configured with the following parameters for optimal results:

```
cat ${HADOOP_CONF_DIR}/core-site.xml | kv-pairify | grep "s3a"

fs.s3a.access.key=minio

## 6. Implementation Status

- Full AWS S3 [SELECT SQL](https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-select.html) syntax is supported.
- All [operators](https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-operators.html) are supported.
- All aggregation, conditional, type-conversion and string functions are supported.

    types:
      - opened
      - synchronize

env:
  # Forks and Dependabot don't have access to secrets
  HAS_SECRETS: ${{ secrets.PRE_COMMIT != '' }}

jobs:
  pre-commit:
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v5
        name: Checkout PR for own repo

  # can't be set inside the rest of the _upload envs.
  FINAL_URI="$TFCI_ARTIFACT_FINAL_GCS_URI/$TF_VER_FULL"
  gsutil -m rsync -d -r "$DOWNLOADS" "$FINAL_URI"

  # Also mirror the latest-uploaded folder to the "latest" directory.
  # GCS does not support symlinks.
  gsutil -m rsync -d -r "$FINAL_URI" "$TFCI_ARTIFACT_LATEST_GCS_URI"
fi

if [[ "$TFCI_ARTIFACT_FINAL_PYPI_ENABLE" == 1 ]]; then

    * Pydantic ermöglicht auch die Darstellung als „ISO 8601 Zeitdifferenz-Kodierung“, [siehe die Dokumentation für weitere Informationen](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers).
* `frozenset`:
    * Wird in Requests und Responses wie ein `set` behandelt:
        * Bei Requests wird eine Liste gelesen, Duplikate entfernt und in ein `set` umgewandelt.

* `datetime.timedelta`：
    * Python 的 `datetime.timedelta`。
    * 在請求與回應中會以總秒數的 `float` 表示。
    * Pydantic 也允許用「ISO 8601 time diff encoding」來表示，[詳情見文件](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers)。
* `frozenset`：
    * 在請求與回應中與 `set` 相同處理：
        * 在請求中，會讀取一個 list，去除重複並轉為 `set`。
        * 在回應中，`set` 會被轉為 `list`。

* `datetime.timedelta`:
    * 一个 Python `datetime.timedelta`.
    * 在请求和响应中将表示为 `float` 代表总秒数。
    * Pydantic 也允许将其表示为 "ISO 8601 时间差异编码", [查看文档了解更多信息](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers)。
* `frozenset`:
    * 在请求和响应中，作为 `set` 对待：
        * 在请求中，列表将被读取，消除重复，并将其转换为一个 `set`。
        * 在响应中 `set` 将被转换为 `list` 。

<?xml version="1.0" encoding="UTF-8"?>
<metadata>
  <groupId>org.codelibs.fess</groupId>
  <artifactId>fess-crawler-parent</artifactId>
  <versioning>
    <latest>14.14.0</latest>
    <release>14.14.0</release>
    <versions>
      <version>1.0.0</version>
      <version>1.0.1</version>
      <version>1.0.2</version>
      <version>1.0.3</version>
      <version>1.0.4</version>
      <version>1.0.5</version>
      <version>1.0.6</version>