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Release files for ml-cavalry 0.1.0
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 | Actions |
|---|---|---|---|---|
| ml-cavalry-0.1.0.tar.gz | 5.2 kB | Without provenance | Details for ml-cavalry-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ml_cavalry-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for ml_cavalry-0.1.0-py3-none-any.whl |
Total release size: 10.6 kB
Release files / ml-cavalry-0.1.0.tar.gz
| Download URL | ml-cavalry-0.1.0.tar.gz |
|---|---|
| Size | 5.2 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/3.10.6
|
Release files / ml_cavalry-0.1.0-py3-none-any.whl
| Download URL | ml_cavalry-0.1.0-py3-none-any.whl |
|---|---|
| Size | 5.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a95dcb95fa7e0656c1e5bcf8e7fe73ac4dd6e74ade9661d37f2dc297bf3e3021
|
|
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/3.10.6
|
Security for ml-cavalry 0.1.0
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None of the files in this release were uploaded with provenance metadata.
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