Skip to main content

Python wrapper around rapidjson

Project description

Authors:

Ken Robbins <ken@kenrobbins.com>

Lele Gaifax <lele@metapensiero.it>

License:

MIT License

Status:
Build status Documentation status

RapidJSON is an extremely fast C++ JSON parser and serialization library: this module wraps it into a Python 3 extension, exposing its serialization/deserialization (to/from either bytes, str or file-like instances) and JSON Schema validation capabilities.

Latest version documentation is automatically rendered by Read the Docs.

Getting Started

First install python-rapidjson:

$ pip install python-rapidjson

or, if you prefer Conda:

$ conda install -c conda-forge python-rapidjson

Basic usage looks like this:

>>> import rapidjson
>>> data = {'foo': 100, 'bar': 'baz'}
>>> rapidjson.dumps(data)
'{"bar":"baz","foo":100}'
>>> rapidjson.loads('{"bar":"baz","foo":100}')
{'bar': 'baz', 'foo': 100}
>>>
>>> class Stream:
...   def write(self, data):
...      print("Chunk:", data)
...
>>> rapidjson.dump(data, Stream(), chunk_size=5)
Chunk: b'{"foo'
Chunk: b'":100'
Chunk: b',"bar'
Chunk: b'":"ba'
Chunk: b'z"}'

Development

If you want to install the development version (maybe to contribute fixes or enhancements) you may clone the repository:

$ git clone --recursive https://github.com/python-rapidjson/python-rapidjson.git

A set of makefiles implement most common operations, such as build, check and release; see make help output for a list of available targets.

Performance

python-rapidjson tries to be as performant as possible while staying compatible with the json module.

See the this section in the documentation for a comparison with other JSON libraries.

Incompatibility

Although we tried to implement an API similar to the standard library json, being a strict drop-in replacement in not our goal and we have decided to depart from there in some aspects. See this section in the documentation for further details.

Changes

1.5 (2021-10-16)

  • Fix serialization bug when using DM_UNIX_TIME in a non-C locale context

1.4 (2021-06-25)

  • Build binary wheel for aarch64, thanks to odidev (PR #156)

1.3 (2021-06-25)

  • Yet another attempt to fix automatic wheels upload

1.2 (2021-06-25)

  • Fix automatic wheels upload from GH Actions to PyPI

1.1 (2021-06-25)

  • Reduce decoder memory consumption by uniquifiying keys in the loaded dictionaries

  • Implement an alternative way of transmogrify JSON objects, similar to json‘s object_pairs_hook load option (issue #154)

1.0 (2020-12-13)

  • Require Python 3.6 or greater

  • New serialization options, iterable_mode and mapping_mode, to give some control on how generic iterables and mappings get encoded (fix issue #149 and issue #150)

  • Internal refactorings, folding “skipkeys” and “sort_keys” arguments into the mapping_mode options, respectively as MM_SKIP_NON_STRING_KEYS and MM_SORT_KEYS: “old” arguments kept for backward compatibility

  • Bump major version to 1, tag as “production/stable” and switch to a simpler X.Y versioning schema

0.9.4 (2020-11-16)

  • Fix memory leak loading an invalid JSON (issue #148)

0.9.3 (2020-10-24)

  • Fix access to Encoder instance attributes (issue #147)

0.9.2 (2020-10-24)

  • Use current master version of rapidjson

  • Enable GH Actions-based test workflow, thanks to Martin Thoma (PR #143)

  • Produce Python 3.9 wheels, disable testing under Python < 3.6

  • Make the character used for indentation in pretty mode a parameter (issue #135)

  • Handle wider precision range in timestamps fractional seconds (PR 133), thanks to Karl Seguin

  • Add comparison benchmarks against orjson and hyperjson (issue #130 and PR #131, thanks to Sebastian Pipping)

0.9.1 (2019-11-13)

  • Fix memory leak in case of failed validation (issue #126)

0.9.0 (2019-11-13)

  • Produce Python 3.8 wheels

  • Compatibility fix for Python 3.8 (issue #125)

  • New dump option write_mode, supporting RapidJSON’s kFormatSingleLineArray option (issue #123), thanks to Nguyễn Hồng Quân for the initial implementation (PR #124)

0.8.0 (2019-08-09)

  • New serialization option bytes_mode to control how bytes instances get encoded (issue #122)

0.7.2 (2019-06-09)

  • Hopefully fix the memory leak when loading from a stream (issue #117)

0.7.1 (2019-05-11)

  • Raise a more specific exception on loading errors, JSONDecodeError, instead of generic ValueError (issue #118)

  • Fix optimization path when using OrderedDicts (issue #119)

  • Fix serialization of IntEnums (issue #121)

  • I spent quite a lot of time investigating on the memory leak when loading from a stream (issue #117): as I was not able to fully replicate the problem, I cannot be sure I solved the problem… sorry!

0.7.0 (2019-02-11)

  • Raise correct exception in code samples (PR #109), thanks to Thomas Dähling

  • Fix compilation with system-wide install of rapidjson (issue #110)

  • Use current master version of rapidjson, that includes a fix for its issue #1368 and issue #1336, and cures several compilation warnings as well (issue #112 and issue #107)

  • Fix memory leak when using object_hook (issue #115)

0.6.3 (2018-07-11)

  • No visible changes, but now PyPI carries binary wheels for Python 3.7.

0.6.2 (2018-06-08)

  • Use a more specific ValidationError, to differentiate from invalid JSON

0.6.1 (2018-06-06)

  • Nothing new, attempt to build Python 3.6 binary wheels on Travis CI

0.6.0 (2018-06-06)

  • Add a new comparison table involving ensure_ascii (issue #98)

  • Use Python’s repr() to emit float values instead of rapidjson’s dtoa() (issue #101)

  • Use a newer (although unreleased) version of rapidjson to fix an issue with JSONSchema validation (PR #103), thanks to Anthony Miyaguchi

0.5.2 (2018-03-31)

  • Tiny tweak to restore macOS build on Travis CI

0.5.1 (2018-03-31)

  • Minor tweaks to CI and PyPI deploy configuration

0.5.0 (2018-03-31)

  • New RawJSON class, allowing inclusion of pre-serialized content (PR #95 and PR #96), thanks to Silvio Tomatis

0.4.3 (2018-01-14)

  • Deserialize from bytes and bytearray instances, ensuring they contain valid UTF-8 data

  • Speed up parsing of floating point numbers, avoiding intermediary conversion to a Python string (PR #94)

0.4.2 (2018-01-09)

  • Fix precision handling of DM_UNIX_TIME timestamps

0.4.1 (2018-01-08)

  • Fix memory leaks in Decoder() and Encoder() classes, related to bad handling of PyObject_GetAttr() result value

  • Fix compatibility with Python 3.7a

0.4.0 (2018-01-05)

  • Implemented the streaming interface, see load() and dump() (issue #80)

    Backward incompatibility: now the flags arguments on all the functions are keyword only, to mimic stdlib’s json style

0.3.2 (2017-12-21)

0.3.1 (2017-12-20)

  • Fix Travis CI recipe to accomodate MacOS

0.3.0 (2017-12-20)

  • Fix compilation on MacOS (issue #78)

  • Handle generic iterables (PR #89)

    Backward incompatibility: the dumps() function and the Encoder() constructor used to accept a max_recursion_depth argument, to control the maximum allowed nesting of Python structures; since the underlying function is now effectively recursive, it has been replaced by the generic sys.setrecursionlimit() mechanism

0.2.7 (2017-12-08)

  • Restore compatibility with Python < 3.6

0.2.6 (2017-12-08)

  • Fix memory leaks when using object_hook/start_object/end_object

0.2.5 (2017-09-30)

  • Fix bug where error handling code could raise an exception causing a confusing exception to be returned (PR #82)

  • Fix bug where loads’s object_hook and dumps’s default arguments could not be passed None explicitly (PR #83)

  • Fix crash when dealing with surrogate pairs (issue #81)

0.2.4 (2017-09-17)

  • Fix compatibility with MacOS/clang

0.2.3 (2017-08-24)

  • Limit the precision of DM_UNIX_TIME timestamps to six decimal digits

0.2.2 (2017-08-24)

  • Nothing new, attempt to fix production of Python 3.6 binary wheels

0.2.1 (2017-08-24)

  • Nothing new, attempt to fix production of Python 3.6 binary wheels

0.2.0 (2017-08-24)

  • New parse_mode option, implementing relaxed JSON syntax (issue #73)

  • New Encoder and Decoder, implementing a class-based interface

  • New Validator, exposing the underlying JSON schema validation (issue #71)

0.1.0 (2017-08-16)

  • Remove beta status

0.1.0b4 (2017-08-14)

  • Make execution of the test suite on Appveyor actually happen

0.1.0b3 (2017-08-12)

  • Exclude CI configurations from the source distribution

0.1.0b2 (2017-08-12)

  • Fix Powershell wheel upload script in appveyor configuration

0.1.0b1 (2017-08-12)

  • Compilable with somewhat old g++ (issue #69)

  • Backward incompatibilities:

    • all DATETIME_MODE_XXX constants have been shortened to DM_XXX DATETIME_MODE_ISO8601_UTC has been renamed to DM_SHIFT_TO_UTC

    • all UUID_MODE_XXX constants have been shortened to UM_XXX

  • New option DM_UNIX_TIME to serialize date, datetime and time values as UNIX timestamps targeting issue #61

  • New option DM_NAIVE_IS_UTC to treat naïve datetime and time values as if they were in the UTC timezone (also for issue #61)

  • New keyword argument number_mode to use underlying C library numbers

  • Binary wheels for GNU/Linux and Windows on PyPI (one would hope: this is the reason for the beta1 release)

0.0.11 (2017-03-05)

  • Fix a couple of refcount handling glitches, hopefully targeting issue #48.

0.0.10 (2017-03-02)

  • Fix source distribution to contain all required stuff (PR #64)

0.0.9 (2017-03-02)

0.0.8 (2016-12-09)

Project details


Download files

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

Source Distribution

python-rapidjson-1.5.tar.gz (222.6 kB view details)

Uploaded Source

Built Distributions

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

python_rapidjson-1.5-cp310-cp310-win_amd64.whl (142.0 kB view details)

Uploaded CPython 3.10Windows x86-64

python_rapidjson-1.5-cp310-cp310-win32.whl (122.2 kB view details)

Uploaded CPython 3.10Windows x86

python_rapidjson-1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

python_rapidjson-1.5-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.12+ x86-64manylinux: glibc 2.5+ x86-64

python_rapidjson-1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (1.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.12+ i686manylinux: glibc 2.5+ i686

python_rapidjson-1.5-cp310-cp310-macosx_10_9_x86_64.whl (214.6 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

python_rapidjson-1.5-cp39-cp39-win_amd64.whl (142.0 kB view details)

Uploaded CPython 3.9Windows x86-64

python_rapidjson-1.5-cp39-cp39-win32.whl (122.4 kB view details)

Uploaded CPython 3.9Windows x86

python_rapidjson-1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

python_rapidjson-1.5-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.12+ x86-64manylinux: glibc 2.5+ x86-64

python_rapidjson-1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (1.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.12+ i686manylinux: glibc 2.5+ i686

python_rapidjson-1.5-cp39-cp39-macosx_10_9_x86_64.whl (214.0 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

python_rapidjson-1.5-cp38-cp38-win_amd64.whl (143.2 kB view details)

Uploaded CPython 3.8Windows x86-64

python_rapidjson-1.5-cp38-cp38-win32.whl (124.5 kB view details)

Uploaded CPython 3.8Windows x86

python_rapidjson-1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

python_rapidjson-1.5-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64manylinux: glibc 2.5+ x86-64

python_rapidjson-1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (1.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ i686manylinux: glibc 2.5+ i686

python_rapidjson-1.5-cp38-cp38-macosx_10_9_x86_64.whl (213.7 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

python_rapidjson-1.5-cp37-cp37m-win_amd64.whl (142.7 kB view details)

Uploaded CPython 3.7mWindows x86-64

python_rapidjson-1.5-cp37-cp37m-win32.whl (123.4 kB view details)

Uploaded CPython 3.7mWindows x86

python_rapidjson-1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

python_rapidjson-1.5-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64manylinux: glibc 2.5+ x86-64

python_rapidjson-1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (1.4 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ i686manylinux: glibc 2.5+ i686

python_rapidjson-1.5-cp37-cp37m-macosx_10_9_x86_64.whl (213.0 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

python_rapidjson-1.5-cp36-cp36m-win_amd64.whl (142.7 kB view details)

Uploaded CPython 3.6mWindows x86-64

python_rapidjson-1.5-cp36-cp36m-win32.whl (123.4 kB view details)

Uploaded CPython 3.6mWindows x86

python_rapidjson-1.5-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ ARM64

python_rapidjson-1.5-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64manylinux: glibc 2.5+ x86-64

python_rapidjson-1.5-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (1.4 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ i686manylinux: glibc 2.5+ i686

python_rapidjson-1.5-cp36-cp36m-macosx_10_9_x86_64.whl (213.0 kB view details)

Uploaded CPython 3.6mmacOS 10.9+ x86-64

File details

Details for the file python-rapidjson-1.5.tar.gz.

File metadata

  • Download URL: python-rapidjson-1.5.tar.gz
  • Upload date:
  • Size: 222.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.7.0 requests/2.25.1 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.7

File hashes

Hashes for python-rapidjson-1.5.tar.gz
Algorithm Hash digest
SHA256 04323e63cf57f7ed927fd9bcb1861ef5ecb0d4d7213f2755969d4a1ac3c2de6f
MD5 b8172040d251c0eb605e6f205d5e7df2
BLAKE2b-256 fb74b01d27bc19dd26f9543bc38f3d237298b30cdbfda5886db67a4e13b93d4a

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 142.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f378588baff7e3e7f1afb01de3912f969c727bdaaa7566c456bbebe3852a5e23
MD5 4f4057c717182f4c19e2c1cbc4ec9b7f
BLAKE2b-256 6a365e2af3dc6220719e7161e65b2e1b1383eca9c16763e63fc1e1dd7101843e

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp310-cp310-win32.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp310-cp310-win32.whl
  • Upload date:
  • Size: 122.2 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 af53be06737fd20c473613bda7a7c2207b75f25a078a3d6cde630bd40b125345
MD5 a13ca412717ca552f986e411628a75f0
BLAKE2b-256 5d2b02fdd01b9753dc79f468ac413ce3962b3899a603cf7fb7d463a2678b2764

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 27b88d73a821f772d72d13aacdae229898f4c2e4d4fdee50f82128cf9974e92f
MD5 fd73ca23e31388b4ffd03e17baf2ebf4
BLAKE2b-256 af1f2f235d0484bf3825f33a929cb84bf5b28416e6128416f4cf91e19ab7e6d8

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 75cbfcc038ec9db9c02322d3e43567183a1c3699ea223e8bd5082ce2d4c8a559
MD5 c282fb27b0a9cb55a974f167dd3149b5
BLAKE2b-256 13606e317519719b82c3fff202ef8f282fd8fddefc4d794271064131c4065890

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 3fdda4556c5c10f936b4e3bba14dd38becf8f861a536d2024b9d04ac200d9b4b
MD5 c5f37006b7879d3d5930b311c0af3fa2
BLAKE2b-256 4ac5b7c4d7939f867222e04cae2336e7c172d149eae0015141a551da8197a6ec

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 214.6 kB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 18479fa7f9d23468f9b1eeeacd83698979164c80ce86d786024ac73480049e77
MD5 43eaedbadf0cd737a84e17032a5ef7af
BLAKE2b-256 17993c74685bf894b5d104ceb30bfb921f3342331711aeb62a56de0149762be7

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 142.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 121a787596cd3e1a4913cefab734dfcec635e9ad5b33d034728e28d1514e9068
MD5 cad8aaca6767cddfb91b2d04ea25e25c
BLAKE2b-256 98578272d5791bc213f5633dfe374b09420d9d4858f941aa00682c0b70fba81c

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp39-cp39-win32.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp39-cp39-win32.whl
  • Upload date:
  • Size: 122.4 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 3af7c7aad5b93913a2eda2746e1fb91ec8fc7e54596fe5b1a5740048bc4480f9
MD5 4882285005242e882d07abf1163f08d0
BLAKE2b-256 c25dcd38628164a23511e0d31c375f4f86cc43bc12ffcfb329bb92b500308aad

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c1ce13e7bd08b8fd9d8ef8dc20f153100afc5aead1bbb0e6f5c216bd4d8d8a31
MD5 f6952ae7961c35027f543fd12af13737
BLAKE2b-256 b15648f6b921bc3c77d2cb1f3f145f57140cda6c33a8b178e497ea8c86a4c9a7

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f83c5515e4acc0cef7d98c4623a357f54c2c4833d918477a12eb595658b4fd75
MD5 44f79bb4a668ca839340b40282b80c01
BLAKE2b-256 b923b1a5eabd5e5343b12c3566e94675920aaa5c6debbcad21321834e09bae13

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 54c5a3df3539752ae544725f93e03250be82834f0025fe3cf95126d75acbf4aa
MD5 732c754d344255e05f472f2a12e157ef
BLAKE2b-256 479c92f5acfa12249d5177ad0feb5e26238c2b3293063b8fa2afde31c9747958

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 214.0 kB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c1121e0de5179b923c62b2da843d0f110d83880ad4f8f66acaebb88a2c8fc28d
MD5 ba558f1588207c91bd60440fdea220d1
BLAKE2b-256 300b7d8094f6cde88a9eef6398007cc55e82d9074956a0637329bdd11f413354

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 143.2 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 869c58ca3b1e64fe9ce612c4a05d792c6e299a206e7efcb3eb4e5fbbad938e40
MD5 ff7983922418075dd55488dda6d38f52
BLAKE2b-256 9f5496ac4f93bba95b24eb19610f156b577f859477b8b6c11b37497176cf8f63

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp38-cp38-win32.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp38-cp38-win32.whl
  • Upload date:
  • Size: 124.5 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 0890330cea15a4e0e48d0257890c2bc4700ffbe4fd3ba3c459bbf0af3a86139d
MD5 f3ddf6118a2d454d0577bb3620eed0c7
BLAKE2b-256 a14f83743182825a7838176325e433a4d8e9b6a83f390b8261b602649eae6d57

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cd41c155599032aaf8c20604b71bd7f4109ef9400f8fcea04a155e8b3d3bc20f
MD5 2a4cd9d552b37475d6c70c1520e181b8
BLAKE2b-256 c8d3ad0bd226fbc61350bb42d682cb0e65bd041f226e06873f056174cfd054c4

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 459272d561d03b308fb2cbca4312955ae8ed7d13a81c5f2d5324149433d3299d
MD5 a0477761a0faeb8300f99c8de686f945
BLAKE2b-256 5daf32da889f61e0d48c77a74324018ed1b4bd4abb854370f34b617a7d67c5d3

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 389eed04f81d8952b25d1ab45cd12103cbd014e9e0f9bc249157279da3669ebd
MD5 4078284c0104d3efbfc5a0f389785453
BLAKE2b-256 52ec683a93cafb9a1764cff1838d6663a2b53c0bd39f815bd84ca39005ee69d0

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 213.7 kB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 55f948bdb73ed577f18054ca53c5ec92e8502f68894b51b3e6899fa259a6850e
MD5 342b8b933c66795ee7d6ecd926441fc9
BLAKE2b-256 73312eb0224a3619b878b4ad9c59a4e363605e017a8b2774b13755125a97ef03

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 142.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ef8e16765ab230a958060c7639ae6617e720313faff2e5c30495dc1363e117d1
MD5 b6cfdd56d72a89f264892cb51c9f5e1b
BLAKE2b-256 70e3260d37d37a542beb4d073420d273961ab10eb8023753a99b353a07c94ee0

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp37-cp37m-win32.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 123.4 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 58ac94b595162d0a0c873456703dd851d850c9f6b07622878ad9e98215b1e5b5
MD5 eb52e771123f2bfe675e4c7aad143081
BLAKE2b-256 fce56f727d5d01fea83fcd0398c432a691d4350d82350ac87ea98b01e11c4977

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e0e7e6f5e01ebb72b6126db2495c7f898f01b02f92b2a2632ceecfa5d98e8ff4
MD5 96babb9c7eb654cfc8ace4ef8793730e
BLAKE2b-256 d3d3f7865bae91728a83ce18e992b0ff8bbcfda1996e4f18dfb7a6e9f9437187

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 94623a6a759b02b949f14ac11e15d49a6d0c78003a7966b711418a37b0bbc52d
MD5 5d2b9cfddf4dfe2972708e49a0403fe9
BLAKE2b-256 05d289751cff82e9aff4a303a2b2c32c3809272bb5eee328b963b0bab572553a

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 133516839bb058876df971c1dc18aaad841c973990bde2b233a76953ccb5b0d8
MD5 9a9e9bde57ca33e83857405b5655e01d
BLAKE2b-256 678ed516425a258c9ff4e9aeb576b6092c0cbf59c71713c8b23a9d3185d26264

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 213.0 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 92b25445e52230db0b9477a6c2238cf86ba08aceb8b1d026a4baa994dc7ecab6
MD5 07e24bcc1969597697326dd156ddba44
BLAKE2b-256 35417bc3aec9fd9b732a9bc5de8d1afca3eb561d2839dc1c18bb1a7aeeefc7db

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 142.7 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 1a743dab61e9ee1ea6e5abcf378ccd344b6c11dd80db583244ec7cc958c3e03c
MD5 bc48f1ee1a021d399f94f03fccd36ab3
BLAKE2b-256 401e35e1da9079d495b6d596f25339cc7e666fda8406fd78d9aa4acd9091a01c

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp36-cp36m-win32.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 123.4 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 f179435686348fe04e9cf4edeaca25830adf5c73213c9f662888a53c2191e04e
MD5 7bb05da7a4e5a085b4b5e244f25b4d8f
BLAKE2b-256 3a79a5bcf7f5d38ea6eed7714137284a64f51a315b684ac2313f165a0fdeded5

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 def01cf09efc6069e4d1b98702d02f8962c272624e8222f6c748e32f4a8adb77
MD5 4c1c1fa0347d966b40cc713f0065f0ee
BLAKE2b-256 c295755bc68632c969497b20eeb9dcd38fa73bc9a3620d9435d177064a1f91ff

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4e865fc060d9542a3ba50fd7a76200b2fa83e05a6a2d16f23bb101b571ca0375
MD5 3ffca4181380c301e1bd532c5528e039
BLAKE2b-256 d7150d2a73f4d69b85b76bd9e895ec22d7eace631089adb0c3eeb038e3ea8d44

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for python_rapidjson-1.5-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 d38230f20ece88147cb94af37a4822d8587ba44a32d5de1f49db10fa0e2dc925
MD5 e16efb2ca4d65cfa5219aab7eda54ad0
BLAKE2b-256 228bbf001928f598ec1a8e84978b55bc10ce8c63ecd63ef1a8986e9e451a4af4

See more details on using hashes here.

File details

Details for the file python_rapidjson-1.5-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: python_rapidjson-1.5-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 213.0 kB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for python_rapidjson-1.5-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bf7c508b314d27505a607fd9a7298b3dd08cd44feb1c07d064c9fb24045639b7
MD5 d7a6be2ebe1121cc09e4a204bf52c65a
BLAKE2b-256 5a65289123887095687b21dd73ab66ea9919f6048d365fea1c814df80bdd94a8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page