Generating Gated Graph Neural Networks from flat ASTserialization format.
Release files for ggnn 0.0.7.post30
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ggnn-0.0.7.post30.tar.gz | 12.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ggnn-0.0.7.post30-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.6 kB
Release files / ggnn-0.0.7.post30.tar.gz
| Download URL | ggnn-0.0.7.post30.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.7
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Release files / ggnn-0.0.7.post30-py3-none-any.whl
| Download URL | ggnn-0.0.7.post30-py3-none-any.whl |
|---|---|
| Size | 14.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.7
|