Skip to main content

# pyrefact Automatic python refactoring, with the goal of simplifying complicated code, deleting dead code, and to some extent improve performance.

It is strongly recommended that you version control or otherwise backup any code you run pyrefact on.

## Features

### Readability

  • Invert if/else to put the smaller block first.

  • De-indent code with early continue and return statements.

  • Replace loops that only fill up lists or sets with comprehensions.

  • Rename variables, functions and classes with conventions.

  • Move code into primitive functions.

### Performance

  • Replace sum comprehensions and for loops with constant expressions. The symbolic algebra tool [Sympy](https://github.com/sympy/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] with heapq.nsmallest, replace sorted()[0] with min

  • Replace matrix operation comprehensions with equivalent np.matmul() and np.dot() calls, for code that already depends on numpy.

  • Use is instead of == for comparisons to None, True and False.

### 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() and list().

  • Remove duplicate function definitions.

  • Remove redundant elif and else.

  • Remove unused self and cls function arguments, and add @staticmethod or @classmethod.

  • Move functions decorated with @staticmethod outside of their class namespaces.

### Imports

  • Delete unused imports

  • Move safe imports to toplevel

  • Add missing imports by guessing what you probably wanted. * For example, if Sequence is used but never defined, it will insert from typing import Sequence at the top of the file.

### Cleanup

  • Run black and isort with –line-length=100. (Will be removed in a future release)

## 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.

`bash pip install pyrefact python -m pyrefact /path/to/filename.py --preserve /path/to/module/where/filename/is/used python -m pyrefact /path/to/filename.py --safe cat /path/to/filename.py | pyrefact --from-stdin `

## Prerequisites

### CPython

Pyrefact requires python>=3.8, and is tested on CPython 3.8, 3.9, 3.10 and 3.11. 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.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyrefact-44.tar.gz (36.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyrefact-44-py3-none-any.whl (39.4 kB view details)

Uploaded Python 3

File details

Details for the file pyrefact-44.tar.gz.

File metadata

  • Download URL: pyrefact-44.tar.gz
  • Upload date:
  • Size: 36.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for pyrefact-44.tar.gz
Algorithm Hash digest
SHA256 5888075df869f6533c2dd913aed09acf46cc4f8be907aba4353468979b8b7877
MD5 a95fa77cc5176b8b9c084c0540194a03
BLAKE2b-256 fb68896b79f75a42246ab8a786c9d1989178ea2edaa4cf9c858fa0fd2ac02488

See more details on using hashes here.

File details

Details for the file pyrefact-44-py3-none-any.whl.

File metadata

  • Download URL: pyrefact-44-py3-none-any.whl
  • Upload date:
  • Size: 39.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for pyrefact-44-py3-none-any.whl
Algorithm Hash digest
SHA256 2777afc4761f29def8cee220de38f357021d93511411cc873e99611e89a279c5
MD5 6ef4bb9540cda443ec08955a433d8bb7
BLAKE2b-256 47dc0a8a5e6a9407e707f3d54e2db242698fe5fc2b267f5ccc3abc1f066a6329

See more details on using hashes here.

Release history Release notifications | RSS feed

100

2 files

99

2 files

98

2 files

97

2 files

96

2 files

95

2 files

94

2 files

93

2 files

92

2 files

91

2 files

90

2 files

89

2 files

88

2 files

87

2 files

86

2 files

85

2 files

84

2 files

83

2 files

82

2 files

80

2 files

79

2 files

78

2 files

77

2 files

76

2 files

75

2 files

74

2 files

73

2 files

72

2 files

71

2 files

70

2 files

69

2 files

68

2 files

67

2 files

66

2 files

65

2 files

64

2 files

63

2 files

62

2 files

61

2 files

60

2 files

59

2 files

58

2 files

57

2 files

56

2 files

55

2 files

54

2 files

53

2 files

52

2 files

51

2 files

50

2 files

49

2 files

48

2 files

47

2 files

46

2 files

45

2 files

This release

44 This release

2 files

43

2 files

42

2 files

41

2 files

40

2 files

39

2 files

38

2 files

37

2 files

36

2 files

35

2 files

34

2 files

33

2 files

32

2 files

31

2 files

30

2 files

29

2 files

28

2 files

27

2 files

26

2 files

25

2 files

24

2 files

23

2 files

22

2 files

21

2 files

20

2 files

19

2 files

18

2 files

16

1 file

15

1 file

14

1 file

13

1 file

12

1 file

11

1 file

10

1 file

9

1 file

8

1 file

7

1 file

6

1 file

5

1 file

4

1 file

3

1 file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page