JijModeling Transpiler
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.
Metadata
Release files for jijmodeling-transpiler 0.7.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 42.7 MB
Release files / jijmodeling_transpiler-0.7.3-cp312-cp312-win_amd64.whl
| Download URL | jijmodeling_transpiler-0.7.3-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 1.3 MB |
| Tags | CPython 3.12 Windows x86-64 |
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twine/6.1.0 CPython/3.12.9
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Transparency logRelease files / jijmodeling_transpiler-0.7.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl
| Download URL | jijmodeling_transpiler-0.7.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | CPython 3.12 Linux glibc 2.17+ x86-64 Linux glibc 2.28+ x86-64 |
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| Size | 1.7 MB |
| Tags | CPython 3.12 Linux glibc 2.17+ ARM64 Linux glibc 2.28+ ARM64 |
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Transparency logRelease files / jijmodeling_transpiler-0.7.3-cp312-cp312-macosx_13_0_universal2.whl
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Transparency logRelease files / jijmodeling_transpiler-0.7.3-cp312-cp312-macosx_10_13_universal2.whl
| Download URL | jijmodeling_transpiler-0.7.3-cp312-cp312-macosx_10_13_universal2.whl |
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| Size | 2.9 MB |
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Transparency logRelease files / jijmodeling_transpiler-0.7.3-cp311-cp311-macosx_13_0_universal2.whl
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Transparency logRelease files / jijmodeling_transpiler-0.7.3-cp39-cp39-macosx_10_9_universal2.whl
| Download URL | jijmodeling_transpiler-0.7.3-cp39-cp39-macosx_10_9_universal2.whl |
|---|---|
| Size | 2.8 MB |
| Tags | CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64) |
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SHA-256 checksum How to use checksums |
3ee4cee5d59ed4ea90b04b137a3015c57ab46b046711c6c91b184301ff7d25dc
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BLAKE2b-256 checksum How to use checksums |
2cd0e01262043e4165991bf77f4bc6a94562260e2e67794f67bcd4ef4f54addc
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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Transparency log