body_schema = get_schema_from_model_field(
        field=body_field,
        schema_generator=schema_generator,
        model_name_map=model_name_map,
        field_mapping=field_mapping,
        separate_input_output_schemas=separate_input_output_schemas,
    )
    field_info = cast(Body, body_field.field_info)
    request_media_type = field_info.media_type
    required = body_field.required

	checkUserSchema(t, user)
}

func checkUserSchema(t *testing.T, user *schema.Schema) {
	// check schema
	checkSchema(t, user, schema.Schema{Name: "User", Table: "users"}, []string{"ID"})

	// check fields
	fields := []schema.Field{

		if fieldStruct := modelType.Field(i); ast.IsExported(fieldStruct.Name) {
			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 != "" {

index.field.config_id=config_id
index.field.expires=expires
index.field.url=url
index.field.doc_id=doc_id
index.field.id=_id
index.field.version=_version
index.field.seq_no=_seq_no
index.field.primary_term=_primary_term
index.field.lang=lang
index.field.has_cache=has_cache
index.field.last_modified=last_modified
index.field.anchor=anchor
index.field.segment=segment
index.field.role=role
index.field.boost=boost

    Mehr erfahren Sie am Ende dieser Seite.

## Zusätzliche Argumente für `Field`

Wenn Sie `Field()` mit Pydantic-Modellen verwenden, können Sie ebenfalls zusätzliche `examples` deklarieren:

=== "Python 3.10+"

    ```Python hl_lines="2  8-11"

				switch reflectValue.Kind() {
				case reflect.Struct:
					for _, field := range s.Fields {
						selected := selectedColumns[field.DBName] || selectedColumns[field.Name]
						if selected || (!restricted && field.Readable) {
							if v, isZero := field.ValueOf(stmt.Context, reflectValue); !isZero || selected {
								if field.DBName != "" {

                    "msg": "Field required",
                    "input": {"name": "Foo"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "price"],
                    "msg": "field required",
                    "type": "value_error.missing",

                    "msg": "Field required",
                    "input": {"name": "Foo"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "price"],
                    "msg": "field required",
                    "type": "value_error.missing",

    fields `username` and `password`.

    All the initialization parameters are extracted from the request.

    The only difference between `OAuth2PasswordRequestFormStrict` and
    `OAuth2PasswordRequestForm` is that `OAuth2PasswordRequestFormStrict` requires the
    client to send the form field `grant_type` with the value `"password"`, which

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 (