border-bottom-width: 2px;\n    }\n    &.border-width-3 {\n      border-bottom-width: 3px;\n    }\n  }\n}\n\n// custom switch color variations\n.custom-switch {\n  @each $name, $color in $theme-colors {\n    @include custom-switch-variant($name, $color);\n  }\n\n  @each $name, $color in $colors {\n    @include custom-switch-variant($name, $color);\n  }\n}\n\n// custom range color variations\n.custom-range {\n  @each $name, $color in $theme-colors {\n    @include custom-range-variant($name, $color);\n  }\n\n ...

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

{* ../../docs_src/settings/tutorial001_py310.py hl[2,5:8,11] *}

/// tip

If you want something quick to copy and paste, don't use this example, use the last one below.

///

## Do not use Pydantic RootModels

Do not use Pydantic `RootModel`, instead use regular type annotations with `Annotated` and Pydantic validation utilities.

For example, for a list with validations you could do:

```python
from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import Field

app = FastAPI()


@app.post("/items/")

	if t, ok := config.Tiers[tierName]; ok {
		return t.Type, true
	}
	return madmin.Unsupported, false
}

// Add adds tier to config if it passes all validations.
func (config *TierConfigMgr) Add(ctx context.Context, tier madmin.TierConfig, ignoreInUse bool) error {
	config.Lock()
	defer config.Unlock()

	// check if tier name is in all caps
	tierName := tier.Name

Navbar\n// Navbar brand\n// Navbar nav\n// Navbar text\n// Navbar divider\n// Responsive navbar\n// Navbar position\n// Navbar themes\n\n\n// Navbar\n//\n// Provide a static navbar from which we expand to create full-width, fixed, and\n// other navbar variations.\n\n.navbar {\n  position: relative;\n  display: flex;\n  flex-wrap: wrap; // allow us to do the line break for collapsing content\n  align-items: center;\n  justify-content: space-between; // space out brand from logo\n  padding: $navbar-padding-y...

    checkArgument(parts.size() <= MAX_PARTS, "Domain has too many parts: '%s'", name);
    checkArgument(validateSyntax(parts), "Not a valid domain name: '%s'", name);
  }

  /**
   * Internal constructor that skips validations when creating an instance from parts of an
   * already-validated InternetDomainName, as in {@link ancestor}.
   */
  private InternetDomainName(String name, ImmutableList<String> parts) {

			if err = json.Unmarshal(data, &serviceAcctReqs); err != nil {
				writeErrorResponseJSON(ctx, w, importErrorWithAPIErr(ctx, ErrAdminConfigBadJSON, err, allSvcAcctsFile, ""), r.URL)
				return
			}

			// Validations for LDAP enabled deployments.
			if globalIAMSys.LDAPConfig.Enabled() {
				skippedAccessKeys, err := globalIAMSys.NormalizeLDAPAccessKeypairs(ctx, serviceAcctReqs)

/// check | Inspired **FastAPI** to

Define extra validations for data types using the "default" value of model attributes. This improves editor support, and it was not available in Pydantic before.

méthode est plus proche de celle de Django que de celle de Flask (et Starlette). Il sépare dans le code des choses
qui sont relativement fortement couplées.

/// check | A inspiré **FastAPI** à

Définir des validations supplémentaires pour les types de données utilisant la valeur « par défaut » des attributs du modèle. Ceci améliore le support de l'éditeur, et n'était pas disponible dans Pydantic auparavant.

180B..180D    ; ignored                                # 3.0  MONGOLIAN FREE VARIATION SELECTOR ONE..MONGOLIAN FREE VARIATION SELECTOR THREE
180E          ; disallowed                             # 3.0  MONGOLIAN VOWEL SEPARATOR
180F          ; ignored                                # 14.0 MONGOLIAN FREE VARIATION SELECTOR FOUR