pyDatalog

A pure-python implementation of Datalog, a truly declarative language derived from Prolog.

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Project description

requirements, bugs…

Project details

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Release history Release notifications | RSS feed

0.17.4

Nov 30, 2022

This version

0.17.3

Nov 26, 2022

0.17.1

Jan 24, 2016

0.17.0

Jan 20, 2016

0.17.0rc1 pre-release

Dec 14, 2015

0.16.0

Jul 5, 2015

0.16.0rc1 pre-release

May 25, 2015

0.15.2

Mar 1, 2015

0.15.1

Mar 1, 2015

0.15.0

Dec 14, 2014

0.15.0c1 pre-release

Oct 5, 2014

0.14.6

Aug 19, 2014

0.14.5

Mar 23, 2014

0.14.4

Mar 23, 2014

0.14.3

Mar 23, 2014

0.14.2

Mar 23, 2014

0.14.1

Feb 23, 2014

0.14.0

Dec 27, 2013

0.14.0c1 pre-release

Dec 23, 2013

0.13.0

Apr 17, 2013

0.12.0

Jan 3, 2013

0.11.2

Nov 2, 2012

0.11.1

Sep 26, 2012

0.11

Sep 25, 2012

0.10.0

Sep 5, 2012

0.9.0

Oct 30, 2012

0.8.1

Oct 30, 2012

0.8.0

Jul 17, 2012

0.7.0

Jul 10, 2012

0.6.0

Jun 30, 2012

0.5.0

Jun 20, 2012

0.4.0

May 3, 2012

0.3.4

Apr 29, 2012

0.3.3

Apr 29, 2012

0.3.2

Apr 29, 2012

0.3.0

Apr 25, 2012

0.2.2

Apr 19, 2012

0.2.1

Apr 16, 2012

0.1.1

Apr 13, 2012

0.1.0

Apr 13, 2012

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pyDatalog-0.17.3.tar.gz (323.5 kB view hashes)

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pyDatalog-0.17.3-cp310-cp310-win_amd64.whl (271.4 kB view hashes)

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Uploaded Nov 26, 2022 CPython 3.10 musllinux: musl 1.1+ x86-64

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Hashes for pyDatalog-0.17.3-cp37-cp37m-musllinux_1_1_i686.whl

Hashes for pyDatalog-0.17.3-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`bca57b9c89860f2daa2475c3c088a1c3fe8c48ab64dc3204cd6cea0ac7010bfb`
MD5	`69fc19433ad68d9377048d959b180d57`
BLAKE2b-256	`dbf9e1891a2ea17fe6777f76f4b8d3ae78a3cd7609add97b8790373bad0465c2`

Hashes for pyDatalog-0.17.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyDatalog-0.17.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`aae844893ef0ad99f1a81bbde38798dd575381224ab261a7d80872760533fc25`
MD5	`c1f4dfc08268733bb9e5de0786eaae72`
BLAKE2b-256	`8702bbe536507e0b0452be1f242d9c614414984004866d803dd903ce2f5824e6`

Hashes for pyDatalog-0.17.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for pyDatalog-0.17.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`95dca361509ecb99eece5dbd11b611eaa41b79d648a4a4e6534198425569c244`
MD5	`f5ff4009bb2f0dbaf07baf4ebd282dbf`
BLAKE2b-256	`e78520c805a048fce1c77da09ba6b07076af59d64cbd437b4fd4ebd49f5c1e7b`

Hashes for pyDatalog-0.17.3-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for pyDatalog-0.17.3-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`59646d49707633f41aa0dfb794ddc17c90bf07f7b8edc5b4e2da6a1bb29e3753`
MD5	`e62dce982c468cc18da2e82c5fa93891`
BLAKE2b-256	`19653722f8eb6f68b3ef515b0d136ea827e30be62e6bcc7491c21a0b50bb09e8`

Hashes for pyDatalog-0.17.3-cp36-cp36m-win_amd64.whl

Hashes for pyDatalog-0.17.3-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`51231f65bb1887f68f3189bc5270dca1bdc66c7d6a7984fc568bf2c0d50287ec`
MD5	`8cb7ab094311d3dcf8816bcc37c5f619`
BLAKE2b-256	`ad0e8de41d157b536480f0b9f73f2b00a0736e12ab09a03581da4f2868e992da`

Hashes for pyDatalog-0.17.3-cp36-cp36m-win32.whl

Hashes for pyDatalog-0.17.3-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`31548e80e2a14d724b08f8f6d0ed1aa7976f1812038520b15d423b95c4962e29`
MD5	`07f78cf0c3b8bef7e5a0d51f43985965`
BLAKE2b-256	`b5c27beb66ef72f5e3b6d3cb9fb8037007e8bc51f6a584fc2588218e0e3e020c`

Hashes for pyDatalog-0.17.3-cp36-cp36m-musllinux_1_1_x86_64.whl

Hashes for pyDatalog-0.17.3-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm	Hash digest
SHA256	`0daf8cc0c0fa8fc2f8f2bcae921a4db896c1a16d07c218bbc8565e80e673e86c`
MD5	`fc3ca7c89e3c906549b8a8b2c5084103`
BLAKE2b-256	`a037e9091d38bed8e14be9ac14310dbef924aed37a9ac975af8c9f86a12df04b`

Hashes for pyDatalog-0.17.3-cp36-cp36m-musllinux_1_1_i686.whl

Hashes for pyDatalog-0.17.3-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm	Hash digest
SHA256	`64b97de61c8c3c3e9164e2c66b098b71c4bc613505c463d17649809f003f0361`
MD5	`5410919fe95d2f213b567a66fd310f1e`
BLAKE2b-256	`82457b9b820f8bd107a36c386183d93dda4fac76fd9af9a9211ecefc8eb361df`

Hashes for pyDatalog-0.17.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyDatalog-0.17.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`94b0647ad583d72c470fd90a10f8be0f14acf81a11257a5ed7f7d9e75be18daf`
MD5	`97ec775e8134e50626edccdd40c749a2`
BLAKE2b-256	`dbc87317038c05a84609ac6f836b223b87863798f3d6e908aae4f0e3b4ffa9d6`

Hashes for pyDatalog-0.17.3-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl

Hashes for pyDatalog-0.17.3-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`478b6b5842d1368cb38960b550b395ca657e4830eaac658f0fe21d3eafa731cb`
MD5	`35c9f469dce02982eab85a953a54b369`
BLAKE2b-256	`0bdfdf1a34e2feb522f45337280d7e2ada278593db61d153e25403c54843394d`

Hashes for pyDatalog-0.17.3-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for pyDatalog-0.17.3-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`133124d9a12ee3b4de397c68be0508e2d7177a6742aefda162329a012ee0fc8b`
MD5	`b8cb4216e347209d510364b29475a093`
BLAKE2b-256	`bba232b12aa8aafea7e489894ccae7d91ed535c48491ec56de29d14ed03b9fc3`