python cffi bindings for the oniguruma regex engine

These details have not been verified by PyPI

Project links

Homepage

Project description

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

`OnigSearchOption`

an enum listing the search-time options for oniguruma

the current set of options are:

class OnigSearchOption(enum.IntEnum):
    NONE = ...
    NOTBOL = ...
    NOTEOL = ...
    POSIX_REGION = ...
    CHECK_VALIDITY_OF_STRING = ...
    NOT_BEGIN_STRING = ...
    NOT_BEGIN_POSITION = ...

`_Pattern.match(s: str, start: int = 0, flags: OnigSearchOption = OnigSearchOption.NONE) -> 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, flags: OnigSearchOption = OnigSearchOption.NONE) -> 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, flags: OnigSearchOption = OnigSearchOption.NONE) -> 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

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

This version

1.3.0

Oct 14, 2023

1.2.0

Apr 30, 2022

1.1.0

Apr 20, 2021

1.0.0

Nov 6, 2020

0.0.21

Oct 31, 2020

0.0.20

Oct 27, 2020

0.0.19

Oct 9, 2020

0.0.18

Jul 1, 2020

0.0.17

Jun 30, 2020

0.0.16

Apr 26, 2020

0.0.15

Apr 20, 2020

0.0.14

Apr 3, 2020

0.0.13

Mar 30, 2020

0.0.12

Mar 23, 2020

0.0.11

Mar 22, 2020

0.0.10

Mar 4, 2020

0.0.9

Mar 2, 2020

0.0.8

Feb 25, 2020

0.0.7

Feb 24, 2020

0.0.6

Feb 22, 2020

0.0.5

Feb 22, 2020

0.0.4

Feb 22, 2020

0.0.3

Feb 13, 2020

0.0.2

Feb 11, 2020

0.0.1

Feb 10, 2020

Download files

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

Source Distribution

onigurumacffi-1.3.0.tar.gz (5.5 kB view hashes)

Uploaded Oct 14, 2023 Source

Built Distributions

onigurumacffi-1.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (579.1 kB view hashes)

Uploaded Oct 14, 2023 PyPy manylinux: glibc 2.17+ x86-64

onigurumacffi-1.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (579.1 kB view hashes)

Uploaded Oct 14, 2023 PyPy manylinux: glibc 2.17+ x86-64

onigurumacffi-1.3.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (579.1 kB view hashes)

Uploaded Oct 14, 2023 PyPy manylinux: glibc 2.17+ x86-64

onigurumacffi-1.3.0-cp38-abi3-win_amd64.whl (191.8 kB view hashes)

Uploaded Oct 14, 2023 CPython 3.8+ Windows x86-64

onigurumacffi-1.3.0-cp38-abi3-win32.whl (176.1 kB view hashes)

Uploaded Oct 14, 2023 CPython 3.8+ Windows x86

onigurumacffi-1.3.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (599.7 kB view hashes)

Uploaded Oct 14, 2023 CPython 3.8+ manylinux: glibc 2.17+ x86-64

onigurumacffi-1.3.0-cp38-abi3-macosx_11_0_x86_64.whl (238.2 kB view hashes)

Uploaded Oct 14, 2023 CPython 3.8+ macOS 11.0+ x86-64

onigurumacffi-1.3.0-cp38-abi3-macosx_11_0_arm64.whl (225.8 kB view hashes)

Uploaded Oct 14, 2023 CPython 3.8+ macOS 11.0+ ARM64

Hashes for onigurumacffi-1.3.0.tar.gz

Hashes for onigurumacffi-1.3.0.tar.gz
Algorithm	Hash digest
SHA256	`7745cdc56096acec88a1f3b08660a22b09c659ed38d3f59db6c1cad76a976bef`
MD5	`6a64c010a76139d12ff7a952d7c57e51`
BLAKE2b-256	`37653e968c38ce87c61c8a27c4947c022d3db80d1f8a9fcc61e58e9e49c03822`

Hashes for onigurumacffi-1.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for onigurumacffi-1.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`5b2187f4722ffee8b1e7e529d1998c8abb2236da19bafc59bce881c335f53d6e`
MD5	`b0fa32d5556275136c4d3fc8c3811c06`
BLAKE2b-256	`3bd71fad16190046997419bbc2526e14d9274943eba5454677289dde76527dce`

Hashes for onigurumacffi-1.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for onigurumacffi-1.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`7c1f34f9f6cd5185a1ed1146ccbf2e9d808b508816a13b6ed8b1550e2a246f79`
MD5	`ace70596db04666ec328511385147b02`
BLAKE2b-256	`018cd249263e4b58b95d480f7c90f19ff271d9a5e14c9b2725136beb7acbec28`

Hashes for onigurumacffi-1.3.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for onigurumacffi-1.3.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`094b22f59bbc12812272686e468e3956a8a34262f3ee79e6ebea60ac12756713`
MD5	`48f89c655fa8a58a377d2537373c1beb`
BLAKE2b-256	`fff78de1d8874ab681ed4d9d6a132768850b77191e7cc4933895ada86d09407f`

Hashes for onigurumacffi-1.3.0-cp38-abi3-win_amd64.whl

Hashes for onigurumacffi-1.3.0-cp38-abi3-win_amd64.whl
Algorithm	Hash digest
SHA256	`45fcb24ebce96e884c34e5b93e46b371e21a9a4cb85c386a3359a5eacab31575`
MD5	`853a455559bad7214d360efc23bcb60d`
BLAKE2b-256	`64be0cf9a7494d0ce25e5c715b05c73e401eb2274c3d65ef34ab7b1238d6bbf0`

Hashes for onigurumacffi-1.3.0-cp38-abi3-win32.whl

Hashes for onigurumacffi-1.3.0-cp38-abi3-win32.whl
Algorithm	Hash digest
SHA256	`31a22befe51ce2ce0c56936edeccbbca5f8e63c0808baf8e108e04642edc5091`
MD5	`687b1b93d4b14c7aab3f8a3e78f144e6`
BLAKE2b-256	`d5b150515e8e28699cc533b9ef3d5f9b017e2533e93aab3b3cdb16e8d12ff512`

Hashes for onigurumacffi-1.3.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for onigurumacffi-1.3.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`2fc00956c5e824373f5b59c1714470472f8df162db773166aeae9cc4d80a1245`
MD5	`64b89cf45c7a9980cc7ca1f83d2cc241`
BLAKE2b-256	`9567d79921bc9645d692932d338465427f7486f6f00edd714b5b3aaccf92dd07`

Hashes for onigurumacffi-1.3.0-cp38-abi3-macosx_11_0_x86_64.whl

Hashes for onigurumacffi-1.3.0-cp38-abi3-macosx_11_0_x86_64.whl
Algorithm	Hash digest
SHA256	`77d3f174df2195f2af5968170a5286094c30f32f5d80a6c9c7df90fcdd4b545c`
MD5	`82923e980bbf1fa0d43dcab8e1e7c43d`
BLAKE2b-256	`3de209aacddcd1a0193c2edb509b3d9de60b5db3bfe17e0240d8888f2e4d2f67`

Hashes for onigurumacffi-1.3.0-cp38-abi3-macosx_11_0_arm64.whl

Hashes for onigurumacffi-1.3.0-cp38-abi3-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`63097f9963c7d47ee4c4106bfa0bb9be59b37d8e194c892e3f617ec964ab7ddb`
MD5	`19079f391a984323a084c1aff54104df`
BLAKE2b-256	`a2cc8aa9e3345a33bd2ff9454b94ca5e72694667deb642aab636cca1a8808294`