Multiplex generators for incremental learning
1 maintainer
Metadata
1 maintainer
Release files for pescador 3.0.0
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 | |
|---|---|---|---|---|
| pescador-3.0.0.tar.gz | 31.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pescador-3.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 52.7 kB
Release files / pescador-3.0.0.tar.gz
| Download URL | pescador-3.0.0.tar.gz |
|---|---|
| Size | 31.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2ec9ca7d31db492a1c5a024a51bd497be3b15b7229232365a55b2765dd5eef68
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BLAKE2b-256 checksum How to use checksums |
91d1b247e61b88b861198609e54e535377d99babce0861b14eda51901261fffd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
|
Release files / pescador-3.0.0-py3-none-any.whl
| Download URL | pescador-3.0.0-py3-none-any.whl |
|---|---|
| Size | 21.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7e0bf24f47d8e91e2a06e3f9662d0eea3adf6c702d2ce8509e8b345d2c46c0d9
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|
BLAKE2b-256 checksum How to use checksums |
2ab5ed12954875a8caa1f3ee74e2e6467ffe7a3515ea3559310485679baf71ad
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
|
Security for pescador 3.0.0
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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