This is a package with preferences and syntax highlighter for cutting edge Python 3, although Python 2 is well supported, too. The syntax is compatible with Sublime Text, Atom and Visual Studio Code. It is meant to be a drop-in replacement for the default Python package.
Attention VSCode users: MagicPython is used as the default Python highlighter in Visual Studio Code. Don't install it unless you want or need the cutting edge version of it. You will likely see no difference because you're already using MagicPython.
MagicPython correctly highlights all Python 3 syntax features, including type annotations, f-strings and regular expressions. It is built from scratch for robustness with an extensive test suite.
Type hints in comments require support by the color scheme. The one used in the screenshot is Chromodynamics.
This is meant to be a drop-in replacement for the default Python package.
In Atom, install the
In Sublime Text, install
In VSCode, starting with version 0.10.1, install
Alternatively, the package can be installed manually in all editors:
Changes and Improvements
The main motivation behind this package was the difficulty of using modern
Python with other common syntax highlighters. They do a good job of the 90% of
the language, but then fail on the nuances of some very useful, but often
overlooked features. Function annotations tend to freak out the highlighters in
various ways. Newly introduced keywords and magic methods are slow to be
integrated. Another issue is string highlighting, where all raw strings are
often assumed to be regular expressions or special markup used by
Overall, the central idea is that it should be easy to notice something odd or special about the code. Odd or special doesn't necessarily mean incorrect, but certainly worth the explicit attention.
Annotations should not break the highlighting. They should be no more difficult to read at a glance than other code or comments.
A typical case is having a string annotation that spans several lines by using implicit string concatenation. Multi-line strings are suboptimal for use in annotations as it may be highly undesirable to have odd indentation and extra whitespace in the annotation string. Of course, there is no problem using line continuation or even having comments mixed in with implicit string concatenation. All of these will be highlighted as you'd expect in any other place in the code.
A more advanced use case for annotations is to actually have complex expressions in them, such as lambda functions, tuples, lists, dicts, sets, comprehensions. Admittedly, all of these might be less frequently used, but when they are, you can rely on them being highlighted normally in all their glorious details.
Result annotations are handled as any other expression would be. No reason to worry that the body of the function would look messed up.
Strings are used in many different ways for processing and presenting data. Making the highlighter more friendly towards these uses can help you concentrate your efforts on what matters rather than visual parsing.
Raw strings are often interpreted as regular expressions. This is a bit of a
problem, because depending on the application this may actually not be the most
common case. Raw strings can simply be the input to some other processor, in
which case regexp-specific highlighting is really hindering the overall
readability. MagicPython follows a convention that a lower-case
String formatting is often only supported for '%-style formatting', however, the
recommended and more readable syntax used by
Python 3.6 f-strings are supported in both the raw and regular
flavors. The support for them is somewhat more powerful than what can
be done in regular strings with
Most numbers are just regular decimal constants, but any time that octal, binary, hexadecimal or complex numbers are used it's worth noting that they are of a special type. Highlighting of Python 2 'L' integers is also supported.
Underscores in numeric literals are also supported (PEP 515, introduced in Python 3.6):
Python 3.5 features
Built-ins and Magic Methods
Various built-in types, classes, functions, as well as magic methods are all highlighted. Specifically, they are highlighted when they appear as names in user definitions. Although it is not an error to have classes and functions that mask the built-ins, it is certainly worth drawing attention to, so that masking becomes a deliberate rather than accidental act.
Highlighting built-ins in class inheritance list makes it slightly more obvious
where standard classes are extended. It is also easier to notice some typos
(have you ever typed
Parameters and Arguments
MagicPython highlights keywords when they are used as parameter/argument names.
This was mentioned for the case of
Please note that we have some unit tests for the syntax scoping. We will be
expanding and updating our test corpus. This allows us to trust that tiny
inconsistencies will not easily creep in as we update the syntax and fix bugs.
If you intend to submit a pull request, please follow the following guidelines:
It is sometimes necessary to assign multiple scopes to the same matched group. It is very important to keep in mind that the order of these scopes is apparently treated as significant by the engines processing the grammar specs. However, it is equally important to know that different specification formats seem to have different order of importance (most important first vs. last). Since we try to create grammar that can be compiled into several different formats, we must chose one convention and then translate it when necessary during compilation step. Our convention is therefore that most important scope goes first.
If you want to write your own color scheme for MagicPython you can find a list of all the scopes that we use in misc/scopes. The file is automatically generated based on the syntax grammar, so it is always up-to-date and exhaustive.