if field := schema.ParseField(fieldStruct); field.EmbeddedSchema != nil {
				schema.Fields = append(schema.Fields, field.EmbeddedSchema.Fields...)
			} else {
				schema.Fields = append(schema.Fields, field)
			}
		}
	}

	for _, field := range schema.Fields {
		if field.DBName == "" && field.DataType != "" {
			field.DBName = namer.ColumnName(schema.Table, field.Name)
		}

A note about ZIP64:

To be backwards compatible the FileHeader has both 32 and 64 bit Size
fields. The 64 bit fields will always contain the correct value and
for normal archives both fields will be the same. For files requiring
the ZIP64 format the 32 bit fields will be 0xffffffff and the 64 bit
fields must be used instead.

[ZIP specification]: https://support.pkware.com/pkzip/appnote
*/
package zip

import (

          <defaultValue>false</defaultValue>
        </field>
      </fields>
    </class>
    <class java.clone="deep">
      <name>SnapshotVersion</name>
      <version>1.1.0+</version>
      <description>Versioning information for a sub-artifact of the current snapshot artifact.</description>
      <fields>
        <field>
          <name>classifier</name>
          <version>1.1.0+</version>

The `HeroUpdate` *data model* is somewhat special, it has **all the same fields** that would be needed to create a new hero, but all the fields are **optional** (they all have a default value). This way, when you update a hero, you can send just the fields that you want to update.

Because all the **fields actually change** (the type now includes `None` and they now have a default value of `None`), we need to **re-declare** them.

```

////

The files and form fields will be uploaded as form data and you will receive the files and form fields.

And you can declare some of the files as `bytes` and some as `UploadFile`.

/// warning

			<patternset>
				<include name="elasticsearch-kopf-${kopf.branch}/_site/**" />
			</patternset>
			<cutdirsmapper dirs="2" />
		</unzip>
		<delete>
			<fileset dir="${webinf.dir}/plugin">
				<include name="**/*.jar" />
			</fileset>
		</delete>
	</target>

	<target name="install.env.jar">
		<get dest="${target.dir}">

def _get_flat_fields_from_params(fields: List[ModelField]) -> List[ModelField]:
    if not fields:
        return fields
    first_field = fields[0]
    if len(fields) == 1 and lenient_issubclass(first_field.type_, BaseModel):
        fields_to_extract = get_cached_model_fields(first_field.type_)
        return fields_to_extract
    return fields

| `terms_of_service` | `str` | A URL to the Terms of Service for the API. If provided, this has to be a URL. |

        roles.add(SuggestConstants.DEFAULT_ROLE);
        if (!roles.isEmpty()) {
            filterList.add(buildFilterQuery(FieldNames.ROLES, roles));
        }

        if (!fields.isEmpty()) {
            filterList.add(buildFilterQuery(FieldNames.FIELDS, fields));
        }

        if (!kinds.isEmpty()) {
            filterList.add(buildFilterQuery(FieldNames.KINDS, kinds));
        }

        if (filterList.size() > 0) {

                """
                Configuration passed to Pydantic to define if the response data
                should have all the fields, including the ones that were not set and
                have their default values. This is different from
                `response_model_exclude_defaults` in that if the fields are set,
                they will be included in the response, even if the value is the same
                as the default.