Rename project to Validoozy

Mcode/load_validatentine.m → Mcode/load_validoozy.m

@@ -1,12 +1,12 @@
-function load_validatentine(varargin)
-%LOAD_VALIDATENTINE Load the Validatentine library
+function load_validoozy(varargin)
+%LOAD_VALIDOOZY Load the Validoozy library
 %
-% load_validatentine
-% load_validatentine -override
+% load_validoozy
+% load_validoozy -override
 %
-% This loads the Validatentine library and makes it ready for use.
+% This loads the Validoozy library and makes it ready for use.
 %
-% When you run this function, the appropriate paths from Validatene are added
+% When you run this function, the appropriate paths from Validoozy are added
 % to your Matlab path.
 %
 % If the -override option is supplied, then the "compat" functions are added

README.md

@@ -1,38 +1,38 @@
-Validatentine for Matlab
+Validoozy for Matlab
 ========================
 
 Additional validator functions for Matlab.
 
-Validatentine provides additional `mustBe*()` validator functions for Matlab.
+Validoozy provides additional `mustBe*()` validator functions for Matlab.
 These are the input/property-validation functions introduced in Matlab R2017a.
 
-Validatentine provides two sets of validator functions:
+Validoozy provides two sets of validator functions:
 
 * `extend` – New validator functions that Matlab does not define
 * `compat` – Back-compatibility implementations of the Matlab-provided validators, for use in Matlab versions prior to R2017a, or if you want to use my "label" extension
 
 ## Usage
 
-To use Validatentine, install the source tree somewhere on your disk, and then run `load_validatentine` from the `Mcode` directory.
+To use Validoozy, install the source tree somewhere on your disk, and then run `load_validoozy` from the `Mcode` directory.
 
 ## Label extension
 
 My validator functions provide an additional optional "`label`" argument that allows you to specify how the error message refers to the input upon validation failure.
 This is useful if you are calling the validator on something besides a named variable, such as a field of a struct, or a value in a cell array.
 In these cases, the validator functions are unable to automatically detect a good label via the use of `inputname`, so you can supply one manually to produce a nicer error message.
 
-Both the "extend" and "compat" implementations in Validatentine support label arguments.
+Both the "extend" and "compat" implementations in Validoozy support label arguments.
 If you want to use my label extension with Matlab-defined functions in R2017a and later, stick the `Mcode/compat` directory on the front of your Matlab path, and I _think_ it will work.
 I've defined all the "compat" functions to be compatible with Matlab's own implementations, for the signature forms that they define.
 
 ## License
 
-Validatentine for Matlab is licensed under the business-friendly BSD 2-clause license.
+Validoozy for Matlab is licensed under the business-friendly BSD 2-clause license.
 
 ## Project
 
-The home page for Validatentine for Matlab is the [Validatentine GitHub repo](https://github.com/apjanke/matlab-validatentine).
+The home page for Validoozy for Matlab is the [Validoozy GitHub repo](https://github.com/apjanke/matlab-validoozy).
 
-For support, feel free to post a bug report or question on the [Validatentine GitHub issue tracker](https://github.com/apjanke/matlab-validatentine/issues).
+For support, feel free to post a bug report or question on the [Validoozy GitHub issue tracker](https://github.com/apjanke/matlab-validoozy/issues).
 
 The project author is [Andrew Janke](https://apjanke.net).