Python bindings for the PCRE2 regular expression library

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Project description

PCRE2.py: Python bindings for the PCRE2 regular expression library

This project contains Python bindings for PCRE2. PCRE2 is the revised API for the Perl-compatible regular expressions (PCRE) library created by Philip Hazel. For source code, see the official PCRE2 repository.

Installation

From PyPI:

pip install pcre2

If a wheel is not available for your platform, the source for PCRE2 is downloaded over HTTP from PCRE2 releases and built. Building requires:

autoconf
C compiler toolchain, such as gcc and make
libtool
Python headers

Usage

Regular expressions are compiled with pcre2.compile() which accepts both unicode strings and bytes-like objects. This returns a Pattern object. Expressions can be compiled with a number of options (combined with the bitwise-or operator) and can be JIT compiled,

>>> import pcre2
>>> expr = r'(?<head>\w+)\s+(?<tail>\w+)'
>>> patn = pcre2.compile(expr, options=pcre2.I, jit=True)
>>> patn.jit_compile()  # Patterns can also be JIT compiled after initialization.

Inspection of Pattern objects is done as follows,

>>> patn.jit_size
980
>>> patn.name_dict()
{1: 'head', 2: 'tail'}
>>> patn.options
524296

Once compiled, Pattern objects can be used to match against strings. Matching return a Match object, which has several functions to view results,

>>> subj = 'foo bar buzz bazz'
>>> match = patn.match(subj)
>>> match.substring()
'foo bar'
>>> match.start(), match.end()
(8, 17)

Substitution is also supported, both from Pattern and Match objects,

>>> repl = '$2 $1'
>>> patn.substitute(repl, subj)
'bar foo buzz bazz'
>>> patn.substitute(repl, subj, options=pcre2.G) # Global substitutions are also supported.
'bar foo bazz buzz'
>>> match.expand(repl)
'bar foo buzz bazz'

Additionally, Pattern objects support for scanning over subjects for all non-overlapping matches,

>>> for match in patn.scan(subj):
...     print(match.substring('head'))
...
foo
buzz

Performance

PCRE2 provides aa fast regular expression library, particularly with JIT compilation enabled. Below are the regex-redux benchmark results included in this repository,

Script	Number of runs	Total time	Real time	User time	System time
`vanilla.py`	10	51.470	5.147	11.409	0.533
`hand_optimized.py`	10	12.310	1.231	2.484	0.212
`pcre2_module.py`	10	14.040	1.404	2.309	0.548

Tests were performed on an M2 Macbook Air. For more information on this benchmark, see The Computer Language Benchmarks Game. See source code of benchmark scripts for details and original sources.

Project details

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Release history Release notifications | RSS feed

0.4.0

Apr 20, 2024

0.3.0

Sep 14, 2023

0.2.0

Apr 17, 2023

This version

0.1.0

Nov 8, 2022

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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
SHA256	`5503b96e557371397ae3086e6af99b4aa6449cd8840d58a14ca735525a5fe99e`
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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
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Algorithm	Hash digest
SHA256	`a7481cba9e7a22825161984ba597a8ded9588652430bf86bb170034bf9d88451`
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Algorithm	Hash digest
SHA256	`bcebc3a1d547bb76da2c1dabe6cc3acea382f2ce0ce51a0dfc66b451f2d611c0`
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Algorithm	Hash digest
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Algorithm	Hash digest
SHA256	`bc296a1cb9ef944765e4c6fb6da8b84ef48360ff0204cae625b863cf0161a9d2`
MD5	`e76ec413cbbe0b929a30ce0b391ce69a`
BLAKE2b-256	`071a2562641dee6a35248f8ec6b23235151fca0168fac072ec62f0c37c0e4f88`

Hashes for pcre2-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for pcre2-0.1.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`f51ece8382fe0bf2d708fc71ec8381a9416d32889a726cf1822da456daf8c796`
MD5	`75ffc4ab3d2398a15da150f0d446e654`
BLAKE2b-256	`7906df6d9fd8999c0b267b3c1d409092ace44251342d011e016755b2d6def1c2`

Hashes for pcre2-0.1.0-cp37-cp37m-win_amd64.whl

Hashes for pcre2-0.1.0-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`21d1c6b896cbdee1f06d2a972dffd7b9d55602bd44343284d9a32de0128bf6ba`
MD5	`9ef74e9f2e067dfd2c68f6f93df7ab19`
BLAKE2b-256	`f46b5418ffe5ea49d102fea1dfb4549552f186311abd74458309f3f170da235e`

Hashes for pcre2-0.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl

Hashes for pcre2-0.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`a6ac21907a3ac9088da700de5685e8a9eef3ff821c01b93c26cc80314eccb3f1`
MD5	`0154edb0f6a335bdcc361819533bc6b2`
BLAKE2b-256	`b26c8fb0aa4c5f6a5ba34d2a74f6f0fe5691d520f170f4995548424f4422a691`

Hashes for pcre2-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pcre2-0.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`0f62ad17ea7eab4504aa41283bdab60bc3f94b03bb3e9ab18b0b62c04043bd45`
MD5	`5d6269b9a7558aad2316b5793c73d5a4`
BLAKE2b-256	`729f1838a095d5076e118ed3dbcdce2ddedbe6beb77d00721f0a0e5d52261ea6`

Hashes for pcre2-0.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for pcre2-0.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`2dd37a51be2d66f206360c012880f96d6abb096d983ce4b47087d4f606ed0ac9`
MD5	`bb009a4ccb7bd2d4cf955c7270c777e1`
BLAKE2b-256	`8849cd92ce10015b20822f55a13ea860762559d6e5c0082db6139d8de09034d8`

Hashes for pcre2-0.1.0-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for pcre2-0.1.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`90824505c1519ef0ed156477dfdf345428ae2af9d4b4aad7089497372f70c42b`
MD5	`b20e655786513ea34ee13a662adabc95`
BLAKE2b-256	`28d6cdacd57616aba8f8a49e186914c7fd7c53ddd33440f008fb3e04d399ab6a`

Hashes for pcre2-0.1.0-cp36-cp36m-win_amd64.whl

Hashes for pcre2-0.1.0-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`eb6741a7aec610768fa9f2895fb2b10f3c7b3a0929be4a0824d94c99b8e9ce6d`
MD5	`d897059ff88bfc9529da30f57e76c25e`
BLAKE2b-256	`517b219b2c175c68118003f816d49269947a53f4e685fbe85a2735522d6bf4b7`

Hashes for pcre2-0.1.0-cp36-cp36m-musllinux_1_1_x86_64.whl

Hashes for pcre2-0.1.0-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`f834cb5fe4c1f6b3ae078433ba66fdb4ec96f6981b49da6336d42d2128e33527`
MD5	`5b6fd651b702c85da194b3df39c79e52`
BLAKE2b-256	`16fe7b078a9d73a76128f2122b7264925d47b69190eea344f78364cd24911dc1`

Hashes for pcre2-0.1.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pcre2-0.1.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`16d361792f73e86bae90afd5ae6bf180f1de9651276279f9bb6949bbd3e10167`
MD5	`cf0c77b871f611606466bcd3a171ce80`
BLAKE2b-256	`4d370e9c7a1dbe6f61a0f8b4acb662274463356c8dd226bec8e0b5e56f095163`

Hashes for pcre2-0.1.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for pcre2-0.1.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`953955a7734222b5e378c37695ba8a05ffaa4c4325ce230f63db1d8bbb8cc9fd`
MD5	`7f5678a51a522fcb4e10ede3515f8b61`
BLAKE2b-256	`1c9cf5f67382a63ec0812791ea42efa1149f00da8e97c6021c105a7f63b39e27`

Hashes for pcre2-0.1.0-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for pcre2-0.1.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`574107b50061031e22229fab1c1f2ba9b20eb9cb2f421cf0aee5629eb7622715`
MD5	`d9d408766e0e07c306ec414b87353303`
BLAKE2b-256	`64d0c9b4f98e75844755859e17c12fa6bfd83dc4bf63b68a72dc74acb0dbc528`