jwtgo.ValidationErrorClaimsInvalid)
	}

	// Signature is valid, lets validate the claims for
	// other fields such as expiry etc.
	return claims.Valid()
}

// ParseUnverifiedStandardClaims - WARNING: Don't use this method unless you know what you're doing
//
// This method parses the token but doesn't validate the signature. It's only
// ever useful in cases where you know the signature is valid (because it has

}

type annotationValidationFunc func(value string) error

type annotationParam struct {
	key        string
	defaultVal string
	validator  annotationValidationFunc
}

func alwaysValidFunc(value string) error {
	return nil
}

// validateInterceptionMode validates the interceptionMode annotation
func validateInterceptionMode(mode string) error {
	switch mode {
	case redirectModeREDIRECT:

	}
	return &lc, nil
}

// Validate - validates the lifecycle configuration
func (lc Lifecycle) Validate(lr lock.Retention) error {
	// Lifecycle config can't have more than 1000 rules
	if len(lc.Rules) > 1000 {
		return errLifecycleTooManyRules
	}
	// Lifecycle config should have at least one rule
	if len(lc.Rules) == 0 {
		return errLifecycleNoRule
	}

	// Validate all the rules in the lifecycle config

	claims := xjwt.NewMapClaims()
	return claims.Map(), ErrNone
}

// Check request auth type verifies the incoming http request
//   - validates the request signature
//   - validates the policy action if anonymous tests bucket policies if any,
//     for authenticated requests validates IAM policies.
//
// returns APIErrorCode if any to be replied to the client.

			}
		}
	}
	return nil
}

// IsEmpty returns true if Filter is not specified in the XML
func (f Filter) IsEmpty() bool {
	return !f.set
}

// Validate - validates the filter element
func (f Filter) Validate() error {
	if f.IsEmpty() {
		return errXMLNotWellFormed
	}
	// A Filter must have exactly one of Prefix, Tag,
	// ObjectSize{LessThan,GreaterThan} or And specified.

```

////

/// info

In Pydantic version 1 the method to parse and validate an object was `Item.parse_obj()`, in Pydantic version 2, the method is called `Item.model_validate()`.

///

/// tip

Here we reuse the same Pydantic model.

But the same way, we could have validated it in some other way.

	}

	// ExecObjectLayerAPIAnonTest - Calls the HTTP API handler using the anonymous request, validates the ErrAccessDeniedResponse,
	// sets the bucket policy using the policy statement generated from `getWriteOnlyObjectStatement` so that the
	// unsigned request goes through and its validated again.

tion(){a(this).valAttr("have-been-blurred",1)}).each(function(){var b=a(this),c=b.attr("data-validation");c.indexOf("checkbox_group")>-1&&b.closest("form").find('input[name="'+b.attr("name")+'"]').each(function(){a(this).on("change",function(){b.validate()})})}),i.find("[data-validation-async]").valAttr("event","change"),e(i,"disabled"),i.validateOnEvent(h.language,h)}).on("validationErrorDisplay",function(a,b,c){b.closest("form").hasClass("disabled-without-errors")&&c.hide()})}(a,window)});...

    # For the test client
    "httpx >=0.23.0",
    # For templates
    "jinja2 >=2.11.2",
    # For forms and file uploads
    "python-multipart >=0.0.7",
    # To validate email fields
    "email-validator >=2.0.0",
    # Uvicorn with uvloop
    "uvicorn[standard] >=0.12.0",
    # TODO: this should be part of some pydantic optional extra dependencies
    # # Settings management

		t.Errorf("Test %d: scope request mismatch:Expected \"%s\", got \"%s\"", testNum, expectedCredentials.scope.request, actualCredential.scope.request)
	}
}

// TestParseCredentialHeader - validates the format validator and extractor for the Credential header in an aws v4 request.
// A valid format of credential should be of the following format.
// Credential = accessKey + SlashSeparator+ scope