// Verify should return false when signature is correct (no error)
        // The code returns true on line 281 when signatures DON'T match
        boolean result = verifyDigest.verify(data, 0, data.length, 0, mockRequest);

        // The verification should succeed (return false) since we're using the same key
        assertFalse(result);
    }

    @Test

And you can use and implement secure, standard protocols, like OAuth2 in a relatively simple way.

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constraints.NotNull.message = {item} is required.
constraints.Null.message = {item} must be null.
constraints.Past.message = {item} must be a past value.
constraints.Pattern.message = {item} does not match "{regexp}".
constraints.Size.message = The size of {item} must be between {min} and {max}.
# ----------------------------------------------------------
# Hibernate Validator
# -------------------

constraints.NotNull.message = {item} is required.
constraints.Null.message = {item} must be null.
constraints.Past.message = {item} must be a past value.
constraints.Pattern.message = {item} does not match "{regexp}".
constraints.Size.message = The size of {item} must be between {min} and {max}.
# ----------------------------------------------------------
# Hibernate Validator
# -------------------

### Short { #short }

It has sensible **defaults** for everything, with optional configurations everywhere. All the parameters can be fine-tuned to do what you need and to define the API you need.

But by default, it all **"just works"**.

### Validation { #validation }

* Validation for most (or all?) Python **data types**, including:

   * implementation unless some of its bounds have changed in resolution. This avoids creating
   * unequal TypeVariable implementation unnecessarily. When the bounds do change, however, it's
   * fine for the synthetic TypeVariable to be unequal to any native TypeVariable anyway.
   */
  @SuppressWarnings("UnusedTypeParameter") // It's used reflectively.
  static final class NativeTypeVariableEquals<X> {

// FOR ANY DAMAGES SUFFERED BY LICENSEE AS A RESULT OF USING, MODIFYING OR
// DISTRIBUTING THIS SOFTWARE OR ITS DERIVATIVES.
//
// THIS SOFTWARE IS NOT DESIGNED OR INTENDED FOR USE OR RESALE AS ON-LINE
// CONTROL EQUIPMENT IN HAZARDOUS ENVIRONMENTS REQUIRING FAIL-SAFE
// PERFORMANCE, SUCH AS IN THE OPERATION OF NUCLEAR FACILITIES, AIRCRAFT
// NAVIGATION OR COMMUNICATION SYSTEMS, AIR TRAFFIC CONTROL, DIRECT LIFE

Then we **assign those two values** of the tuple to the variables `id` and `name`.

So, if the user didn't provide an item ID, they will still receive a random suggestion.

...we do all this in a **single simple line**. 🤯 Don't you love Python? 🐍

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[22:30] hl[29] *}

## Recap { #recap }

### When Things are Difficult

When things are great, everything is easier, so that doesn't need much instructions. But when things are difficult, here are some guidelines.