pyrefact
Pyrefact does advanced python refactoring, with the goal of simplifying complicated code, deleting dead code, and improving performance.
Unlike emerging AI tools, pyrefact is entirely rule based and does not share your code with any third parties. Pyrefact can however break your code in some cases, and is not suitable for your company's CI chain.
Features
Readability
- Move common code in
if/elseblocks before or after theif/else. - De-indent code with early
continueandreturnstatements. - Simplify boolean expressions.
- Replace for loops with immediate
ifconditions withfilter. - Remove commented code.
- Move code into primitive functions.
- Replace loops that only fill up lists, dicts or sets with comprehensions.
- Invert
if/elseto put the smaller block first. - Rename variables, functions and classes with conventions.
- Rewrite defaultdict-like use of dictionaries with
collections.defaultdict(). - Formats lines that are longer than 100 characters with
black. - Put overused constant expressions in variables.
- Remove redundancies and improve definitions of lists, sets, dicts.
- Use
isinstead of==for comparisons toNone,TrueandFalse.
Performance
- Replace
sumcomprehensions and for loops with constant expressions. The symbolic algebra tool Sympy is used under the hood. - Replace hardcoded inlined collections and comprehensions with set or generator equivalents in places where that would improve performance.
- Replace
sorted()[:n]withheapq.nsmallest, replacesorted()[0]withmin. - Replace matrix operation comprehensions with equivalent
np.matmul()andnp.dot()calls, for code that already depends on numpy. - Replace pandas .loc[], .iloc[] and .iterrows() with .at[], .iat[] and .itertuples()/.index where appropriate.
- Move constant code in loops before the loops.
- De-interpolate interpolated logging calls.
Removing dead and useless code
- Delete unused functions, classes and variables.
- Remove most pointless simple statements.
- Remove branches of code that obviously do nothing useful.
- Remove unreachable code.
- Rename unused variables to
_. - Delete variables named
_, unless where that would cause a syntax error. - Remove redundant chained calls involving
sorted(),set(),tuple(),reversed(),iter()andlist(). - Remove duplicate function definitions.
- Remove redundant elif and else.
- Remove unused
selfandclsfunction arguments, and add@staticmethodor@classmethod. - Move functions decorated with
@staticmethodoutside of their class namespaces. - Simplify deterministic
if,elifandelsestatements.
Imports
- Delete unused imports.
- Move builtin and otherwise safe imports to toplevel.
- Add missing imports by guessing what you probably wanted.
- For example, if
Sequenceis used but never defined, it will insertfrom typing import Sequenceat the top of the file.
- For example, if
Cleanup
- Run isort to organize imports.
- Run black on added code, modified code, and lines that are longer than 100 characters.
Usage
The --preserve flag lets you define places where code is used. When this is set, pyrefact will try to keep these usages intact.
The --safe flag will entirely prevent pyrefact from renaming or removing code.
The --from-stdin flag will format code recieved from stdin, and output the result to stdout.
pip install pyrefact
pyrefact /path/to/filename.py --preserve /path/to/module/where/filename/is/used
pyrefact /path/to/filename.py --safe
cat /path/to/filename.py | pyrefact --from-stdin
VS Code Extension
Pyrefact is also available as a VS Code extension, simply named Pyrefact. The extension allows you to use pyrefact as your formatter, similar to how other formatting extensions work.
Pyrefact always runs with the --safe flag when used through the VS Code extension.
The extension is published through the VS Code Marketplace, and the source code is available at pyrefact-vscode-extension.
Prerequisites
CPython
Pyrefact requires python>=3.8, and is tested on CPython 3.8, 3.9, 3.10, 3.11 and 3.12. Pyrefact works best on python>=3.9.
Pypy
Pyrefact is supported and tested on Pypy3.9. Pypy3.8 is not supported. Pyrefact is slightly faster on Pypy3.9 than on CPython3.9, but only for large repos as the JIT compile overhead is otherwise too large to make up.
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