Property Validation Functions - MATLAB & Simulink (original) (raw)

MATLAB Validation Functions

MATLABĀ® defines functions for use in property validation. These functions support common use patterns for validation and provide descriptive error messages. The following tables categorize the MATLAB validation functions and describe their use.

Numeric Value Attributes

Name Meaning Functions Called on Inputs
mustBePositive(value) value > 0 gt, isreal, isnumeric, islogical
mustBeNonpositive(value) value <= 0 ge, isreal, isnumeric, islogical
mustBeNonnegative(value) value >= 0 ge, isreal, isnumeric, islogical
mustBeNegative(value) value < 0 lt, isreal, isnumeric, islogical
mustBeFinite(value) value has no NaN and no Inf elements. isfinite
mustBeNonNan(value) value has no NaN elements. isnan
mustBeNonzero(value) value ~= 0 eq, isnumeric, islogical
mustBeNonsparse(value) value is not sparse. issparse
mustBeSparse(value) value is sparse. issparse
mustBeReal(value) value has no imaginary part. isreal
mustBeInteger(value) value == floor(value) isreal, isfinite, floor, isnumeric, islogical
mustBeNonmissing(value) value cannot contain missing values. ismissing

Comparison with Other Values

Name Meaning Functions Called on Inputs
mustBeGreaterThan(value,c) value > c gt, isreal, isnumeric,islogical
mustBeLessThan(value,c) value < c lt, isreal, isnumeric, islogical
mustBeGreaterThanOrEqual(value,c) value >= c ge, isreal, isnumeric, islogical
mustBeLessThanOrEqual(value,c) value <= c le, isreal, isnumeric, islogical

Data Types

Size

Membership and Range

Text

Validate Property Using Functions

Use property validation functions in class definitions to impose specific restrictions on property values. A validation function accepts a potential property value as an argument and issues an error if the value does not meet the specific requirement imposed by the function.

During the validation process, MATLAB passes the value to each validation function listed in the class definition. MATLAB calls each function from left to right and throws the first error encountered. The value passed to the validation functions is the result of any conversion applied by the class and size specifications. For more information on class and size validation, see Property Class and Size Validation.

For a list of MATLAB validation functions, see MATLAB Validation Functions.

Validation Function Syntax

Specify validation functions as a comma-separated list of function names or function calls with arguments, enclosed in braces.

classdef MyClass properties Prop {fcn1,fcn2} = defaultValue end end

MATLAB passes the potential property value to the validation function implicitly. However, if the validation function requires input arguments in addition to the potential property value, then you must include both the property and the additional arguments. Additional arguments must be literal values and cannot reference variables. Literal values are nonsymbolic representations, such as numbers and text.

For example, consider the function mustBeGreaterThan. It requires a limiting value as an input parameter. This validation function requires that a property value must be greater than this limiting value.

Pass the property as the first argument. Use the property name, but do not enclose the name in quotation marks. This property definition restrictsProp to values greater than 10.

properties Prop {mustBeGreaterThan(Prop,10)} end

Using Validation Functions

The following class specifies validation functions for each property.

classdef ValidatorFunction properties Data {mustBeNumeric, mustBeFinite} Interp {mustBeMember(Interp,{'linear','cubic','spline'})} = 'linear' end end

Creating a default object of the class shows the initial values.

a =

ValidatorFunction with properties:

  Data: []
Interp: 'linear'

Assigning values to properties calls the validation functions.

Error setting property 'Data' of class 'ValidatorFunction': Value must be numeric.

Because the Data property validation does not include a numeric class, there is no conversion of the char vector to a numeric value. If you change the validation of the Data property to specify the class as double, MATLAB converts the char vector to adouble array.

properties Data double {mustBeNumeric, mustBeFinite} end

The assignment to the char vector does not produce an error because MATLAB converts the char vector to classdouble.

a =

ValidatorFunction with properties:

  Data: [99 117 98 105 99]
Interp: 'linear'

Assignment to the Interp property requires an exact match.

a = ValidatorFunction; a.Interp = 'cu'

Error setting property 'Interp' of class 'ValidatorFunction': Value must be a member of this set linear cubic spline

Using an enumeration class provides inexact matching and case insensitivity.

Enumeration Class for Inexact Matching

Property validation using an enumeration class provides these advantages:

For example, suppose that you define the InterpMethod enumeration class for the Interp property validation.

classdef InterpMethod enumeration linear cubic spline end end

Change the Interp property validation to use theInterpMethod class.

classdef ValidatorFunction properties Data {mustBeNumeric, mustBeFinite} Interp InterpMethod end end

Assign a value matching the first few letters of'cubic'.

a = ValidatorFunction; a.Interp = 'cu'

a =

ValidatorFunction with properties:

  Data: []
Interp: cubic

Define Validation Functions

Validation functions are ordinary MATLAB functions that are designed for the specific purpose of validating property and function argument values. Functions used to validate properties:

Creating your own validation function is useful when you want to provide specific validation that is not available using the MATLAB validation functions. You can create local functions within the class file or place the function on the MATLAB path to be available for use in any class.

For example, the ImgData class uses a local function to define a validator that restricts the Data property to only uint8 or uint16 values, excluding subclasses and not allowing conversion from other numeric classes. The predefined validation functionmustBeInRange restricts the range of allowed values.

classdef ImgData properties Data {mustBeImData(Data),mustBeInRange(Data,0,255)} = uint8(0) end end function mustBeImData(a) if ~(isa(a,'uint8') || isa(a,'uint16')) error("Value of Data property must be uint8 or uint16 data.") end end

When you create an instance of the ImgData class, MATLAB validates that the default value is a uint8 oruint16 value, in the range 0...255, and not empty. Note that the default value must satisfy the validation requirements like any other value assigned to the property.

a =

ImgData with properties:

Data: 0

Property assignment invokes the validators in left-to-right order. Assigning achar vector to the Data property causes an error thrown by mustBeImData.

Error setting property 'Data' of class 'ImgData'. Value of Data property must be uint8 or uint16 data.

Assigning a numeric value that is out of range causes an error thrown bymustBeInRange.

Error setting property 'Data' of class 'ImgData'. Value must be greater than or equal to 0, and less than or equal to 255.

For related functions, see mustBeInteger, mustBeNumeric, and mustBePositive.