}

    /**
     * Loads the known keywords. Although the JSON on disk maps from language to keywords, this method
     * inverts this to map from keyword to languages. This is because the same keywords are found in
     * multiple languages, so it is easier and more useful to have a single map of keywords.
     *
     * @return a mapping from keyword to languages.
     */

     * those keywords are replaced by, for example, the actual timestamp.
     *
     * @see ArtifactCoordinates#getVersionConstraint()
     */
    @Nonnull
    Version getVersion();

    /**
     * {@return the version or meta-version of the artifact}.
     * A meta-version is a version suffixed with the {@code SNAPSHOT} keyword.

So, we get a Pydantic model from the data in another Pydantic model.

#### Unpacking a `dict` and extra keywords { #unpacking-a-dict-and-extra-keywords }

And then adding the extra keyword argument `hashed_password=hashed_password`, like in:

```Python
UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
```

...ends up being like:

- AWS S3's [reserved keywords](https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-keyword-list.html) list is not yet respected.

      "name": {
        "type": "keyword"
      },
      "password": {
        "type": "keyword"
      },
      "surname": {
        "type": "keyword"
      },
      "givenName": {
        "type": "keyword"
      },
      "employeeNumber" : {
        "type" : "keyword"
      },
      "mail" : {
        "type" : "keyword"
      },
      "telephoneNumber" : {
        "type" : "keyword"
      },
      "homePhone" : {

          },
          "groups" : {
            "type" : "keyword"
          },
          "homeDirectory" : {
            "type" : "keyword"
          },
          "homePhone" : {
            "type" : "keyword"
          },
          "homePostalAddress" : {
            "type" : "keyword"
          },
          "initials" : {
            "type" : "keyword"
          },

{
    "properties": {
      "type": {
        "type": "keyword"
      },
      "instanceId": {
        "type": "keyword"
      },
      "hostname": {
        "type": "keyword"
      },
      "name": {
        "type": "keyword"
      },
      "status": {
        "type": "keyword"
      },
      "targetInstanceId": {
        "type": "keyword"
      },
      "data": {
        "type": "text",
        "index": false

Böylece, bir Pydantic modelindeki verilerden başka bir Pydantic model üretmiş oluruz.

#### Bir `dict`'i Unpack Etmek ve Ek Keyword'ler { #unpacking-a-dict-and-extra-keywords }

Sonrasında, aşağıdaki gibi ek keyword argümanı `hashed_password=hashed_password` eklemek:

```Python
UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
```

...şuna benzer bir sonuca dönüşür:

```Python

        "properties" : {
          "createdBy" : {
            "type" : "keyword"
          },
          "createdTime" : {
            "type" : "long"
          },
          "expiredTime" : {
            "type" : "long"
          },
          "name" : {
            "type" : "keyword"
          },
          "parameter_name" : {
            "type" : "keyword"
          },
          "permissions" : {

{
    "properties": {
      "name": {
        "type": "keyword"
      },
      "value": {
        "type": "keyword"
      },
      "webConfigId": {
        "type": "keyword"
      },
      "createdBy": {
        "type": "keyword"
      },
      "createdTime": {
        "type": "long"
      },
      "updatedBy": {
        "type": "keyword"
      },
      "updatedTime": {
        "type": "long"
      }
    }