Consider creating an Equality class.

An `Equality` class would behave similar to the `Similarity` class, but be boolean:

```
>>> eq = Equality(1.00)
>>> print(eq)
100.0% equal
>>> bool(eq)
True

>>> eq = Equality(0.42)
>>> print(eq)
42.0% equal
>>> bool(eq)
False

>>> eq = Equality(0.00)
>>> print(eq)
00.0% equal
>>> bool(eq)
False
```

Start by locating the existing Similarity class and inspecting its representation and boolean-conversion behavior. Implement the proposed Equality behavior so the shown percentage formatting and True/False results are covered, then add or update tests for the 1.00, 0.42, and 0.00 cases.

Written by the indexing model from the issue text.