No project description provided

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jijpypi from gravatar.com jijpypi

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Other/Proprietary License
  • Author: Jij Inc.
  • Requires: Python <3.11, >=3.9
Classifiers
Report project as malware

Project description

JijModeling Transpiler

PyPI version shields.io PyPI pyversions PyPI implementation PyPI format PyPI license PyPI download month

JijModeling Transpiler provides the feature to transpile mathematical models created by JijModeling to other formats such as PyQUBO or LP files.
The library is located on the public PyPI server and is available free of charge to users, but it is obfuscated. You cannot do reverse engineering.

Users can install this library and use it as a subpackage of jijmodeling like from jijmodeling import transpiler.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jijpypi from gravatar.com jijpypi

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Other/Proprietary License
  • Author: Jij Inc.
  • Requires: Python <3.11, >=3.9
Classifiers

Release history Release notifications | RSS feed

0.7.3

0.7.2

0.7.1

0.7.0

0.6.15

0.6.14

0.6.13

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.6.0rc3 pre-release

0.6.0rc2 pre-release

0.6.0rc1 pre-release

0.5.1

0.5.0

0.4.1

0.4.0

0.3.9

0.3.8

This version

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.1.23

0.1.22

0.1.21

0.1.20

0.1.19

0.1.18

0.1.17

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

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

jijmodeling_transpiler-0.3.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

jijmodeling_transpiler-0.3.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl (3.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_12_0_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10macOS 12.0+ x86-64

jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_12_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_11_0_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10macOS 11.0+ x86-64

jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_10_16_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10macOS 10.16+ x86-64

jijmodeling_transpiler-0.3.7-cp39-cp39-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.9Windows x86-64

jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl (3.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_12_0_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9macOS 12.0+ x86-64

jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_12_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.9macOS 12.0+ ARM64

jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_11_0_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9macOS 11.0+ x86-64

jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_10_16_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9macOS 10.16+ x86-64

File details

Details for the file jijmodeling_transpiler-0.3.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e9cf8ff9bbffc1602b95e4f6b4843454db05b989575c4f3de10ee7dfdf85ea3b
MD5 e88dbda0fd8e65b115d26bbd6bae80eb
BLAKE2b-256 09a6ec279a5c4a1fb91b6c092557d1b9f68a86d47b675c096cad32488a136895

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 030a54f42e1b354b512646699e9a9a64dbce66eab8eb380355bcb3c02cb8c42f
MD5 670d6a43d36898b25a3ea1fd8fd9622f
BLAKE2b-256 c7465dcb13757eb06d478d7ea34995a570c0ba215c6323404fd73f7d95844fa9

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 585483a92a6c5e4fa2b96d2f1c2670097b2db85621b1767da0bcbb16f452ab6f
MD5 c0dec830df53af15316915db6339c7fe
BLAKE2b-256 b44bd508a0cef0025bf6126db99b2ac5a3c13f0522796c7dc900e7ba22ec4a5b

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 cbd015d8f10c63aa796e1a090fcee471426a3b601745000c4db149bcfee63de1
MD5 fe390d17fb8d83ce09540d942ba342c1
BLAKE2b-256 08283b6b57a84b1e4fd36b3cada57eebbac2bb236d97892d123fd5b7a93f0e21

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 8eda5758c7e3807eb23016b811a9611bfa87ee62e15214395b2e3456e2ac9cf3
MD5 7829028609da1a68ab8eb27eb6322ea4
BLAKE2b-256 8c5e2f71515f9259c905c189287f707b939482f6fd8638d7ce5a0bfb8c508f1c

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8d47633739f16047bd5c0f113857cc7e83540d7fe97826cabaa1a14875acc47f
MD5 bb008b12366494365c494dc0a4cd96ad
BLAKE2b-256 b7540e84bdda44aff0780572fd381b8b0737b38ecbf43be1bba86b2132397d4b

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp310-cp310-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 731c32c571320fb0488d0e86eeeb9809dc9961455356693197f17d90f60c72d4
MD5 856a8d60947a98a9241434fef5476e41
BLAKE2b-256 4ab8503b9fecc6fc39a8b532584a8af5d033e689a6355b2d0ea18a04c73c4dc9

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d10fc999647cbeedc086249309dc40c974227b9f9b1b22d63f4d01e24f111cf6
MD5 3bb4e7c2aba1faeff69b6ee1927d57b1
BLAKE2b-256 c27ca6810845a7fe590c7fce70349e8d80884948c298a537ddd3fe44c087702e

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0fd301eb5b56b4e593c6fb296fc284e6bf16574fb0f78719f4cd33d3da895b4a
MD5 84dbe7ec8e3207282fbb89eae0d13325
BLAKE2b-256 1e1e4c8b09494ff9ee27a1c6fe422c2818db225b418c91be7a3607b772790cc8

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 11df33c8a23da1af4e5dde852abcef704b651d8f5231c883381be597eba324d3
MD5 1eebc0eb00763a4c7b2209a3c75ffb56
BLAKE2b-256 3a8b6ce1c8839fd09fb871659555f5e47e69c8d62797dd687d0f5f6997956a9a

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 28439afaa4c2f16293476d6ce2ee13e31f7d8e82928756b377b3a6d2f58e338b
MD5 c046d6d89486582b202afa0c6cab3e7e
BLAKE2b-256 4a588ae15d56a1e62aae944ebd35283a4bba76ef79df9831f5c3024d5cb3e66d

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 a1f1467f1bbb16e9c24ddebad1e92da314ef89dad8f086469ba313befd78405a
MD5 45a928efa17eea9dbd39f249da1aa504
BLAKE2b-256 01d0aff98621695a8480503db0c62826be31cf6f7645f9e7e8c31a2fbfe89cf1

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 c67f21e8eeb621355b2b365b6a32e4492508920477d31f2910ed39806aad618d
MD5 db5ed5eeadd9116387df2a1b670c76dd
BLAKE2b-256 069514e1aa220dee2708b88adde659c30757ef99f1117979a2058df909635ba8

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 d82b2f014e2f5eabd6fd83ff20cafdd6cba0d994b9c686c8e079d1947de3e1de
MD5 7e0d3316a766767898f050420d1e6fcd
BLAKE2b-256 4528003e6993646425a749797ab35a25500637b0ec291cbe50cd0bcf56c3104b

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 a761d98319eaf48ccfa3e94c41a7bafc8fc500fec645489efbbb28a261d65ed6
MD5 eca254db9425d8365e23b838657abd99
BLAKE2b-256 a0764aa96ab2239bc34216bed858162a947a7696f1fef60c0e3ee9da1c4eb362

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2da1752ccd44a68760c8e610db9b70ce9b05edc163a60be210aa6a7bbb520725
MD5 24018fbc3712b4b0b78dba64393d9456
BLAKE2b-256 8ed7d937648a3d31b144b8b76e5973c076f0fa2505d1e5a2956c404f83b7379f

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.3.7-cp39-cp39-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 ebd03e2976a5eae600f8478f0b8874246f83c055ed0d7f4560de607910cae5f5
MD5 6bd83c3b05caf95dc6cd4f867e934df3
BLAKE2b-256 0546e674d6ad9157f66226840822a7d5461e20b336ff8d6c10c3b34dfd24dbe6

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