python cffi bindings for the oniguruma regex engine

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  • License: MIT License (MIT)
  • Author: Anthony Sottile
  • Requires: Python >=3.6.1
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Project description

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onigurumacffi

python cffi bindings for the oniguruma regex engine

installation

pip install onigurumacffi
  • wheels should be available on pypi in most cases
  • to build from source, libonig-dev must be installed prior to installation

api

the api is currently very limited (basically just enough to support what I needed).

compile(pattern: str) -> _Pattern

make a compiled pattern

compile_regset(*patterns: str) -> _RegSet

make a compiled RegSet

_Pattern.match(s: str, start: int = 0) -> Optional[_Match]

match a string using the pattern. optionally set start to adjust the offset which is searched from

_Pattern.search(s: str, start: int = 0) -> Optional[_Match]

search a string using the pattern. optionally set start to adjust the offset which is searched from

_Pattern.number_of_captures() -> int

return the number of captures in the regex

_RegSet.search(s: str, start: int = 0) -> Tuple[int, Optional[_Match]]

search a string using the RegSet. optionally set start to adjust the offset which is searched from

the leftmost regex index and match is returned or (-1, None) if there is no match

_Match.group(n: int = 0) -> str

return the string of the matched group, defaults to 0 (the whole match)

_Match[n: int] -> str

a shorthand alias for _Match.group(...)

_Match.start(n: int = 0) -> int

return the character position of the start of the matched group, defaults to 0 (the whole match)

_Match.end(n: int = 0) -> int

return the character position of the end of the matched group, defaults to 0 (the whole match)

_Match.span(n: int = 0) -> int

return (start, end) character position of the matched group, defaults to 0 (the whole match)

_Match.expand(s: str) -> str

expand numeric groups in s via the groups in the match

Project details

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  • License: MIT License (MIT)
  • Author: Anthony Sottile
  • Requires: Python >=3.6.1
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1.3.0

1.2.0

1.1.0

1.0.0

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

This version

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

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