COCONUTS is a user interface for creating and running predictive models.
1 maintainer
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1 maintainer
Release files for cnuts 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| cnuts-0.0.3.tar.gz | 11.6 kB | Without provenance | Details for cnuts-0.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cnuts-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for cnuts-0.0.3-py3-none-any.whl |
Total release size: 22.8 kB
Release files / cnuts-0.0.3.tar.gz
| Download URL | cnuts-0.0.3.tar.gz |
|---|---|
| Size | 11.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.11
|
Release files / cnuts-0.0.3-py3-none-any.whl
| Download URL | cnuts-0.0.3-py3-none-any.whl |
|---|---|
| Size | 11.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0d54414ea7cbc76f740df3ec733ba4b8db6707d4f7007eab1bbcd80ba5d443a6
|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.11
|
Security for cnuts 0.0.3
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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