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Metadata
Release files for ml-iris-backprop 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml_iris_backprop-0.1.tar.gz | 2.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_iris_backprop-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.8 kB
Release files / ml_iris_backprop-0.1.tar.gz
| Download URL | ml_iris_backprop-0.1.tar.gz |
|---|---|
| Size | 2.1 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
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Release files / ml_iris_backprop-0.1-py3-none-any.whl
| Download URL | ml_iris_backprop-0.1-py3-none-any.whl |
|---|---|
| Size | 2.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8dbdd205ff45bfac5d625393d1a9258efcfa178fc7e4894ba388d34a4d74b68a
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BLAKE2b-256 checksum How to use checksums |
1699c0222f203524daf91cc616e32bfae1856e78640a73cb855f2a86d61b370e
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
|