Skip to main content

A simple Python wrapper for the JavaScript JSONata lib.

Project description

The author of this package has not provided a project description

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

jsonata-0.2.4.tar.gz (963.9 kB view details)

Uploaded Source

Built Distributions

jsonata-0.2.4-pp39-pypy39_pp73-win_amd64.whl (299.7 kB view details)

Uploaded PyPy Windows x86-64

jsonata-0.2.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (330.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

jsonata-0.2.4-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (360.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

jsonata-0.2.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (362.6 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

jsonata-0.2.4-pp38-pypy38_pp73-win_amd64.whl (299.7 kB view details)

Uploaded PyPy Windows x86-64

jsonata-0.2.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (331.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

jsonata-0.2.4-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (360.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

jsonata-0.2.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (362.6 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

jsonata-0.2.4-pp37-pypy37_pp73-win_amd64.whl (299.7 kB view details)

Uploaded PyPy Windows x86-64

jsonata-0.2.4-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (334.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

jsonata-0.2.4-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (363.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

jsonata-0.2.4-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (362.6 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

jsonata-0.2.4-cp311-cp311-win_amd64.whl (300.2 kB view details)

Uploaded CPython 3.11 Windows x86-64

jsonata-0.2.4-cp311-cp311-win32.whl (257.0 kB view details)

Uploaded CPython 3.11 Windows x86

jsonata-0.2.4-cp311-cp311-musllinux_1_1_x86_64.whl (899.7 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

jsonata-0.2.4-cp311-cp311-musllinux_1_1_i686.whl (985.9 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

jsonata-0.2.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (378.4 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

jsonata-0.2.4-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (411.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

jsonata-0.2.4-cp311-cp311-macosx_10_9_x86_64.whl (395.8 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

jsonata-0.2.4-cp310-cp310-win_amd64.whl (300.2 kB view details)

Uploaded CPython 3.10 Windows x86-64

jsonata-0.2.4-cp310-cp310-win32.whl (257.0 kB view details)

Uploaded CPython 3.10 Windows x86

jsonata-0.2.4-cp310-cp310-musllinux_1_1_x86_64.whl (899.7 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

jsonata-0.2.4-cp310-cp310-musllinux_1_1_i686.whl (985.9 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

jsonata-0.2.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (378.4 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

jsonata-0.2.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (411.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

jsonata-0.2.4-cp310-cp310-macosx_10_9_x86_64.whl (395.8 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

jsonata-0.2.4-cp39-cp39-win_amd64.whl (299.9 kB view details)

Uploaded CPython 3.9 Windows x86-64

jsonata-0.2.4-cp39-cp39-win32.whl (257.2 kB view details)

Uploaded CPython 3.9 Windows x86

jsonata-0.2.4-cp39-cp39-musllinux_1_1_x86_64.whl (900.0 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

jsonata-0.2.4-cp39-cp39-musllinux_1_1_i686.whl (986.3 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

jsonata-0.2.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (378.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

jsonata-0.2.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (411.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

jsonata-0.2.4-cp39-cp39-macosx_10_9_x86_64.whl (395.9 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

jsonata-0.2.4-cp38-cp38-win_amd64.whl (300.1 kB view details)

Uploaded CPython 3.8 Windows x86-64

jsonata-0.2.4-cp38-cp38-win32.whl (257.0 kB view details)

Uploaded CPython 3.8 Windows x86

jsonata-0.2.4-cp38-cp38-musllinux_1_1_x86_64.whl (899.5 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

jsonata-0.2.4-cp38-cp38-musllinux_1_1_i686.whl (985.8 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

jsonata-0.2.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (378.3 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

jsonata-0.2.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (411.2 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

jsonata-0.2.4-cp38-cp38-macosx_10_9_x86_64.whl (395.7 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

jsonata-0.2.4-cp37-cp37m-win_amd64.whl (300.3 kB view details)

Uploaded CPython 3.7m Windows x86-64

jsonata-0.2.4-cp37-cp37m-win32.whl (257.6 kB view details)

Uploaded CPython 3.7m Windows x86

jsonata-0.2.4-cp37-cp37m-musllinux_1_1_x86_64.whl (901.9 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

jsonata-0.2.4-cp37-cp37m-musllinux_1_1_i686.whl (988.0 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

jsonata-0.2.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (380.2 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

jsonata-0.2.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (413.4 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

jsonata-0.2.4-cp37-cp37m-macosx_10_9_x86_64.whl (395.1 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

jsonata-0.2.4-cp36-cp36m-win_amd64.whl (330.2 kB view details)

Uploaded CPython 3.6m Windows x86-64

jsonata-0.2.4-cp36-cp36m-win32.whl (282.2 kB view details)

Uploaded CPython 3.6m Windows x86

jsonata-0.2.4-cp36-cp36m-musllinux_1_1_x86_64.whl (902.7 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ x86-64

jsonata-0.2.4-cp36-cp36m-musllinux_1_1_i686.whl (987.3 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

jsonata-0.2.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (381.3 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

jsonata-0.2.4-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (412.8 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

jsonata-0.2.4-cp36-cp36m-macosx_10_9_x86_64.whl (394.9 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file jsonata-0.2.4.tar.gz.

File metadata

  • Download URL: jsonata-0.2.4.tar.gz
  • Upload date:
  • Size: 963.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4.tar.gz
Algorithm Hash digest
SHA256 7596e79cb5bafb2a5a8f9a9eca3d9fda9a1579c35f22a911c6de4ae5957dd0c3
MD5 d87b0873340b8d39e5412f2eb6465987
BLAKE2b-256 8e5d06ac0574078e1abf293b9fbf5e602ff8c24019cb14fdec79799650febefd

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 794c83a9c1c227f55e496cd7dfea54cb0043368e080698ffae2297b7d48be058
MD5 c17ca6349f5583145aa0aac6847dd7a3
BLAKE2b-256 f2c000b2e08b28259c1176fc88c455ddae20f0db9776b5ffa98548732d591694

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 510e68569b286b6db9ba81ffbbc25c921df8355d02a4061fbf3bbd3dd342c81f
MD5 9337e6b3364c14d63200b3860d8e1607
BLAKE2b-256 92d4b461a0591092a7b7ee7f0dcd773038f7096bcbb14cf144f119072167fc40

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 fbe4433d2b1ca76d2327dd7f6ee708e9a28251d08ba307423cc771674323aeec
MD5 03d12c1f06bfc58794a991e58ada0605
BLAKE2b-256 a3ddd2389390048cc1cb813252eb97d995b538ba98cc86eb37db4eb2d0e3b832

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 527dcb39c0309da97a873cf958ce4c0a2a8c627a73a98435f6a9b9dcf5c00494
MD5 7523bdfa0c4bc5b301fe1fd214c04bf5
BLAKE2b-256 70affc4b2556e385d9222265daaaa9371950fdb736a929d66d3feddd3773fbfa

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 d0cca31ac59e8995fe4300105ad3ae7fd23f8783d8c77a5b26c29b8211f1b362
MD5 5f80fb35ae7db3c9f4fbe6977c787597
BLAKE2b-256 de93cce0b43cc87868602897673819d8826266b4956927cd5de70dee227a17f1

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4ea8f11f607451e89633ef95dfcf8d0f41789fcd91210364ac00dccd97ec0984
MD5 85ce897f66c58adb28d47afc308e8489
BLAKE2b-256 b03e98d02c715958cc47d56db4fb7f6ad5a2e86e2f330153e615742b1cdf4f58

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 639378d6037e1a3e8babfa8aeb463215c19c18457f98e86fc17397db21c13e3e
MD5 b29f7f074790d3a403b1c5cdb6d361ed
BLAKE2b-256 b910adc45991f21ddab9ec24f912f9a3d03b17c6b041894634bd1f56992c719c

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c2cb038529afa6ea8b92f167ff01472abf16d556e3996d5f47d44155453fd566
MD5 c2d3a57059321b956f0cb36801fa6213
BLAKE2b-256 6902a7c37c8b9dba9a9a14692ea3ef9e97818dba99db4ca61038474a4cc7d4f6

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 db87ce878732c705716950c8d6c5ee4b88dc04c584752048408b6b042055965d
MD5 9681f6aad9a555622f74d199477b3254
BLAKE2b-256 5af6758b68cd9f490d596c393b054e80e45829fc9bc8f4e08894b04b375ddeb4

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bc998849f73bec8b9a12516f1d6b569d54b7d7bc6f1cd502ff9e77b73ec903e1
MD5 08e89375cb2e105c0bd894a5e1528686
BLAKE2b-256 57ea286a93eefd13947a0f2b0550c835f59b86c083074d8518c943118794b67d

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2573bdfca681c08d8833abb90fc3db66d8bb59b27362f0644806603ecd3b0470
MD5 90012fa01b5df437214394dd3b1e77e8
BLAKE2b-256 3968cf24eb42a69f7d18c264fca994b0a2706543c880646278ea9f91bf68caf3

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c5655afafed0b5050dbcf9dc42ea316333afc4a6d91ed9b7c7696d5dbdfdf3b8
MD5 5c60557c717979eab284ea01810fe559
BLAKE2b-256 3e709a14e80ece2dbabdccd7e62408443e7ecbbb743d232a2c5afc64a87572b8

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 300.2 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 6096682e76f2f929ce05279c2d6328e27dc2e3bc0c37648a6b2386a05cb2ee62
MD5 7965fd9284a9586191b86a5cd43bcf27
BLAKE2b-256 8f01ee220e53c2093fd8635895dc7eccbb37f69db0073a1bc8c9f3002ac7c81f

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp311-cp311-win32.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp311-cp311-win32.whl
  • Upload date:
  • Size: 257.0 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 609a380a17297beb173210288746797c372a88b3597c2979fadb6f5892f5abb4
MD5 9ba3a83850d125fa092976469246b556
BLAKE2b-256 1a6fe7fcffbc77869fe26d3272ebf5f1eabada5195d90594cbe18183b1b4cc4b

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 3f989aa0e0da6808cdefe8fe2dce901b8c184d1cf8001a0b43dd4272a99c7d6f
MD5 29483069603f041f1585e5fc3a566f7a
BLAKE2b-256 28343fec24b510cbf2218ece6bcfbb4028c434ba25c24878ee98a07e6cbc2092

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 b50f78a5247ee03c2555391ac236381f8f956d0f61fb5aad186584aeb703de39
MD5 7129bd52b35f502d7857c552a384d16b
BLAKE2b-256 1c2fcf9781afb3534415d8172f34183cfd8b1d1438bca58cafce690755daec70

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f5b5f43b2827b3aa3debd72e4f5e1dfd9e86387a03bd1d851df14ae1e3540cd3
MD5 a23a1bafc807771dc931ca9343de4323
BLAKE2b-256 335c1d4c96d1d335126033bb4bcd5c21b713c8112ea7b215e80c3abab3f28412

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a4d189a2b8a69fa17d30cf66dd920606fcc57e10c0533b0effa9f0a54ee54ffa
MD5 4ef4ac99a0aa5f88808fb6dd0c81890d
BLAKE2b-256 a7a7ffc58001dafd12eb6dc6c759bd83dfa8aa79a3ed6e8eaf1faf620332040f

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5312ca7918a1ca1d0bdf7f18aae46a419985cc6a66f57574d61a8721d6e9f332
MD5 6a6999876dc1821e440f2d66dd9b47b6
BLAKE2b-256 ec2cc9382f5f27b4c0047b9f2162c3689459e0006627a0cec0e5c1e64a74ce98

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 300.2 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 dfdc2343df03b7d744a0c4704ef1baa3344ef1823a3fd87639819e21cd3b579e
MD5 456b2508b50bc25f6822a53c3e9fa288
BLAKE2b-256 10e0a5a0dc24dd39e18d56bb2cf894c502697a3265ddb368e759aa9d2006b8f6

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp310-cp310-win32.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp310-cp310-win32.whl
  • Upload date:
  • Size: 257.0 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 48fa57d8e36fb83ce142488fba7a253d97a2553eea13ccce896d3b67d71c2828
MD5 a1aef0fbbe5dbc48a4f8fcf3b73547d0
BLAKE2b-256 118ae824927ee3be40b20725568e141edbb8190811be0a5909b157a729603cee

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 bdb5243ed353a9377eeddd5c3c489e770ea8a7035b2252f901f526eecbe2914f
MD5 927e138383f9de49fb8d3812c93641b0
BLAKE2b-256 9543a08ee5f8515625ecb56118ece30a24c4a9797ecbfb8abc1850346855c980

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 9c8aff02cc65397a93bba27ad7c7b14b0de6d67a10938e20754b76bbabdc0201
MD5 f676c8f4bd3aac47047e59ccb5ce29ac
BLAKE2b-256 e3dfbbd682cdc51f7372c480a51d6c25e585a4cee516e3d56cd706188fc18b24

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e58d2b3ea4d96c640e36a90b65f949cb3d72e1d22df85d931dd31667888db143
MD5 3038a06643b5b482ada15c2716044885
BLAKE2b-256 6880d941a3c257ac8262c7c54562a70da2c4a9ba0b5e6fed6dfbd146eb83145d

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e64b43c533f7de2cafbdd839122d31d405c1cdf3887f4f92d217e8d7440fdf15
MD5 0de3ae36dcad14be141814ec4a894f03
BLAKE2b-256 80f45ed64a130389cfafa3b5050940643adf6c78b99698e704f938e3739011a7

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 34971eb6ed269d81baa30521a9ba04ba748237b96d632c778091b02dd34df50c
MD5 47316d579c28882655c2c0af914bcfc7
BLAKE2b-256 2c4443254835c4b751bdf2924866f9ae6055d69fb000bafb011c91cf56a3f024

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 299.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f7a2cfc5e0d9aba0c0d1deffa2b416933f64911e0891dc55abf1792695f2ab6e
MD5 c190c65923de8fed2abf7605c0521c50
BLAKE2b-256 8e5b04d29b8c60545376cc639cf1253b6051fff26436c547379c68942dc67417

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp39-cp39-win32.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp39-cp39-win32.whl
  • Upload date:
  • Size: 257.2 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 ed263f9ebc367b30618299cd7a4d7e63f380930dc1ba2a1f22303707947addd0
MD5 6afb3e0d0fded43abb225f22cfce91ba
BLAKE2b-256 0918cc16f0eb32dbd492907c42a7d3719e50c9fdee12d200af9e01fbbf1ca83f

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 5b2295a72dd7d37e786b64e766d5621a6d109416bc98f4c293d90d75979b63c0
MD5 a0732f0ffae52b544eb6a9278f714423
BLAKE2b-256 7236610ef043ddda0297df0423439fc07eaf6c075be5ef67297a132de0832603

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 4b9ea4b166c9fe202e2eacca7dc5d9d167dd5f740f6b31d634aafa096ad16559
MD5 279e5faf87bb1aa88a91adaa24031f7b
BLAKE2b-256 c1d01c4306cb61b6bf47e1e8a1f48e21af4784113539e94d13e950f15c548030

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9189b0e4b856207d6ae2e62cc98b4b4fe0844b9b9c8b5bb43741d2a466566652
MD5 4e75e7b31c03b86182c507e6c55b3e96
BLAKE2b-256 15d5ab4b4b11203a8733efe242f287db31d7b424cd6b624ce40a89faf9281c3a

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 585775b7e0f22f342219a50dd476e812797277dcfa7cb6e7bf495e29f066b1d5
MD5 ef1917801e942e3325c81943516f4b29
BLAKE2b-256 597ef4386d0347df5c1e5b7ca3eed8c305e4f67e29d28c39eb2b982ec8fcc1d8

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 73516106d0424ab9ee08e3fc3308ea9d28d40cf86d45524dec91043104791845
MD5 05d15d10f7a6557a22c4c6f74db660d4
BLAKE2b-256 4cbbd0413b83dc39d12586b36d49da0a09e8f4196417b49cfea06d9a9c03bc2e

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 300.1 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 7786049631bc57267581d86006ca0129b1cb91ac751bb437802234e26c5ce064
MD5 764b02e0df90e7ff6866fa2d85ffeeb6
BLAKE2b-256 7eeddf3b333e1ee8109a434909dbc0e70dbd124a1d5a5ffc87c7fa15b23ada9d

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp38-cp38-win32.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp38-cp38-win32.whl
  • Upload date:
  • Size: 257.0 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 55765f9dc0bbadbae4e03a41b88c2900d6133ebcaa3bbc25af0d8ace29f00781
MD5 8892aeb6090263700ac167a298c43e27
BLAKE2b-256 b8d7bcc2fd49105942d8e49fa105b58016bdc72509b6af55f1c3a0d000e2f329

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 9f18889fa1669d70dbac20eae81211359d463a0481dbad6b03c81bccaab5b58c
MD5 15e1fa7e1d9f7ee73e391afe1fc76b18
BLAKE2b-256 1f0ed2c705e14de05664fb608e0ae87401ed1c089a6662c27c56ed3bccf860bf

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 cda775e77623113a81ddbd6c822334b510050780433f047145e8e7191853f4bf
MD5 9ed925fbf836c1ae1e49ede8710130eb
BLAKE2b-256 df63de561bce961afee5bc373e71d6d32eefaf76edc69d43b1f48d3079ef1edd

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ac88fb841f2f00fe4804b0026e5279ff360c206bf4a8eabe86320071cd4e5c2d
MD5 b43c13b77b1844c55c597a886dfaa2b7
BLAKE2b-256 ed2ae2ec73e27ec50d242041ff8d3297bfbabea4f43f9efc68781c4a7e5917bf

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 10c84a134b35f019a45fdf8ea92d42ce7dafbf338751001aba104521cd8d532d
MD5 5cf147b0b21b45bba53abc766172f8a3
BLAKE2b-256 e99f00fef048cd767d25194dce0ce9922a2958c608d79750067025a15813ce09

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 18fc949de24d7c4be219e66ab0b1f48fe0285f35c1c0fe12b3d8082a4a2c53cd
MD5 fadb5ee4b311a29a82391a8be9e4e78a
BLAKE2b-256 3e976ac24722bad4de22a925e541667a85e9870a182c4d6ffb5e34b54a14d3d7

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 300.3 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 aa46d179a8fd221684c77451527b3708727231466dd5aa41969f319fba96ad85
MD5 e12d5ce3171051ad9f1e1c44d8b4d993
BLAKE2b-256 c37b7f8e56edef929165e7d8ef5b46117e550eaae939b4beb553bb51898f7190

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp37-cp37m-win32.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 257.6 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 153be22a6576dcd6ce972cf613f9144ee1368d84b3e95b38c0776190a7cce9da
MD5 aa2b42f3deb5480c5264e90d149d2326
BLAKE2b-256 6855c01afb3a6f444c15b4f413662f1dd37a062629a1daa0cb71a08f61f389a3

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b55751a7ee7bb820e99f893477ed555bd1dccdbdb69972c777466543ddcdc924
MD5 c109377c992cbd90f75566a327f2b7e7
BLAKE2b-256 fcbada46db03ad00308f73ccd116dae1ace25d0c3c47d7345bbbb3578b1ac4c0

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 215dee398ce3d422038cfbee7733f785d5ad47de17a7580d860d9b887dcf46cc
MD5 fad5411df692d838909117a9eeaca4a2
BLAKE2b-256 7bd3df5e8a574e723b9ebd0a6a483cda8d53e85993dfd7e9991fdcf033fe65bb

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b62616ab4ab89ae19d8aa371e16626f580d341bb465c277e9abc0063a2422102
MD5 76bd9c30f06e96732de48eaa4d294d02
BLAKE2b-256 0e996bc28a14a817b466e152a4bf8fb26aa997386fdba3b3c05f0595152ba6f7

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 088e10cfbb4bc72c31e182ddb30caeed47855476293ad59391854ff33df2a14d
MD5 db405cef231227916f9e0d92e5e6848f
BLAKE2b-256 8b67ecda535e5b105af65cd483e4508829a1d25516b4fbc02513a9029b8658a2

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4da5fbc6a5467907d5fa5a29330638f647de3f35a7d6889724f5db236acb14e2
MD5 e19870ff7445150c3ba0c6835e84c886
BLAKE2b-256 b2f8f9be8691df63ffeeaf250e007218474fb6ca5781f38d2bb45aa457059dba

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 330.2 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 3a2c0846e5dbf11344514b7fea7b6412f197e169a73609a1dff522591ed6f30b
MD5 51d006e2a0bd792b4fe7a7f4b553605e
BLAKE2b-256 dd98bcc869362f6f17c0c59808d18dc14170e4bc7077ff0fb0b13c8c65c35f1e

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp36-cp36m-win32.whl.

File metadata

  • Download URL: jsonata-0.2.4-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 282.2 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for jsonata-0.2.4-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 ef19ee3a70ac06282fd037610a9e7bfe7c244b45948304fe3259da2fc1e6bc97
MD5 557046cc0686e6d007e90832a9d845e1
BLAKE2b-256 4b93c6a9b15487fb25de6ee2478e18e8fe7dfab0fb38186738132941fea8d2f1

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b92e665b70715f104160df521630c3dbfa710d7e29e5fe5980e3cfef06a86f1d
MD5 094354ee592a248b213e861ec8d5a73d
BLAKE2b-256 2e9d032250bffbd651c95c634987f5ee2d54f3023ca91858aaa207efb5e56768

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 ec23f54bd8fbc355d8752100f408e9eacd91040f266d296478b3fdc039dd86ef
MD5 2043bb3937ee52ff557767982acb7f77
BLAKE2b-256 6cd652abcddcda9a7b246b3dc7dde6f0e83746718960abaf11bf5bd3be98d466

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 662c544dd7cfe64e205e7767596494e40f397f53387745f31d8f138fd95112b6
MD5 39bf1379ba755a86b3b781a46900b914
BLAKE2b-256 b9e72735095338dac7e1fc83313272e494c52245e310faf21a67b7aed14cdca7

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bd8443a0e4a7c796ceef3721d76a83c08f0fbaeee6592d1da5b53246e2f2f0b8
MD5 04c765fb541585a337833ef9a1a15d43
BLAKE2b-256 b93078d0eaae0e0d5fc6229131092772690eec7c42897cb27e6683a91ccb5675

See more details on using hashes here.

File details

Details for the file jsonata-0.2.4-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for jsonata-0.2.4-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 36ad8ce12385333a13abecf19cace320f4c68ec32f798d2e5dbf8185fa79472c
MD5 2b2f08c98f7095b3e11894ec76f9f5b5
BLAKE2b-256 d18eb203a40375a6cff93a1b6555fd311073befd419ffc907398946ff1f2a121

See more details on using hashes here.

Supported by

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