Skip to main content

No project description provided

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


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-0.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl (1.4 MB view details)

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

jijmodeling_transpiler-0.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl (1.4 MB view details)

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

jijmodeling_transpiler-0.2.1-cp310-cp310-macosx_11_0_x86_64.whl (836.2 kB view details)

Uploaded CPython 3.10macOS 11.0+ x86-64

jijmodeling_transpiler-0.2.1-cp310-cp310-macosx_11_0_arm64.whl (665.9 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

jijmodeling_transpiler-0.2.1-cp310-cp310-macosx_10_16_x86_64.whl (836.2 kB view details)

Uploaded CPython 3.10macOS 10.16+ x86-64

jijmodeling_transpiler-0.2.1-cp39-cp39-win_amd64.whl (807.9 kB view details)

Uploaded CPython 3.9Windows x86-64

jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl (1.3 MB view details)

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

jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl (1.4 MB view details)

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

jijmodeling_transpiler-0.2.1-cp39-cp39-macosx_11_0_x86_64.whl (835.0 kB view details)

Uploaded CPython 3.9macOS 11.0+ x86-64

jijmodeling_transpiler-0.2.1-cp39-cp39-macosx_11_0_arm64.whl (664.4 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

jijmodeling_transpiler-0.2.1-cp39-cp39-macosx_10_16_x86_64.whl (835.0 kB view details)

Uploaded CPython 3.9macOS 10.16+ x86-64

File details

Details for the file jijmodeling_transpiler-0.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 9ed2472655272bf06391af2ec51ef1ba8a1985026ea8d754a20cbbf0b333b029
MD5 e304991a27938234901e6b78b9e2667e
BLAKE2b-256 64321ed850e2351b1dfa274cdf5428d07632321c3b5692a98e1d5d62f97f2abc

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 e6db40c7e1df8161a4f14e91b81faa15f95e23d11d0790b342d6f889159951d9
MD5 8dfa385bc6fae0b733de836f4cf9b0c3
BLAKE2b-256 0d03c3a7210d5e22dafa2c8d96d7179e42cad730d857a60b7075133b36bf7c5d

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 24e93893eb4eda2210d51140e93af2de957a824fab1b10c869eeddf4af45517e
MD5 92d964c4088b777c1288e19a98bf8fba
BLAKE2b-256 015d7c445b2c0b6c809ac158ebc9368b3c577ba018d81a77fc75f7c864a8cf6f

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 483b66733070e2b85975bce0dfa64492019a10a6c81d6432586fe6cbce3fa33b
MD5 3628a36facd595d8cf167593eff6ce0e
BLAKE2b-256 c6f3593b8aa85f891204acc3a32b6b65a65310fbe37f17d89105ac3409788420

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp310-cp310-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp310-cp310-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 73316cfd45b43805bbb3ad384343161e95c618f692cc1135f112b4ecc7bd62bb
MD5 232954395e75cbf9236775f7ce794da0
BLAKE2b-256 2d7962f1923c3d164a0eff109a6cff2941105adadd3c955fdcb91f225075c00f

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 fea8ba24608a4330c560325086613484e9cb1fb66608f602223a83381dc17cce
MD5 8e124a72a20a7fe04e7413d63291a1c0
BLAKE2b-256 7fbea6dc2d5e5ce15aed5cbf2aa46ee71d665610423f0d61d2b40e1a114eb19f

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 66b55535fd69673b17b0d71c333f99e1fe6a959cc6b8075b24a4122feb01f317
MD5 494549211f75bcafb316ae82e8d62393
BLAKE2b-256 26c92b473584c4d95be0d1c3b26ce9684c9eb5e5f7f5f62bf4bd1a67740a945e

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 59d9cb2238f54ffb8d78251da0c1553de6e4c857af08f527d29b3649055f6451
MD5 030258450ca8ab3832a4e85f2dbf36fb
BLAKE2b-256 908132121bc567ba399b8b719ad8d155aac720c25dc48ad6d67b1a57f3d36e3e

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c51d51ad2281434be5417e9748cf44d022958061e802867b37cc43296200dba0
MD5 53b2cb95cdae9cdd36024e9506e8dcdf
BLAKE2b-256 863d17a5b9630af2f8bd18645481c1f0acd303198f8b1b5511d95f7c402865d7

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 3fe8258ed073f28ff0639c2e2f5d98462b3b843ee903a1e999f4cc2563a24194
MD5 4da54f2739a14c906c8c5abbe2b56ec1
BLAKE2b-256 31059506aca36ee956368c16b228c9184aee0bf444d62181941fc99e70422b36

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 7f852e5c03604c5e6b2b403cc6ce1186f5d117bfc329d25c7d4050bcc39dbbdd
MD5 c47ff69c6a6001079ab354e834bca574
BLAKE2b-256 10e3ecfee19e29b47fedc26a01c1e945a57c3f93978773f427e72acd6b5ad29a

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 35db73358d5f32282445e73014006832dea7e79be945314edf72d05de3c5e137
MD5 0544c6e3164ab289c1b41d87aa8a043d
BLAKE2b-256 db064e28fc25bd8f5fffb8b1de5fa7ee56aad44cebae5179ba1ec35532d5d3d6

See more details on using hashes here.

File details

Details for the file jijmodeling_transpiler-0.2.1-cp39-cp39-macosx_10_16_x86_64.whl.

File metadata

File hashes

Hashes for jijmodeling_transpiler-0.2.1-cp39-cp39-macosx_10_16_x86_64.whl
Algorithm Hash digest
SHA256 683932112ec160c30af38c565b350dd9ee6fe04613c305948cda647e5fef8d5d
MD5 64b7c4b44ca336d3edba286ad53d9d86
BLAKE2b-256 ccbcb2561fdec51855d5cca2053c2221df09e9ecd9820bc47a2e8cdecf97328c

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