mimiq-tensorkeeper
Placeholder for MIMIQ TensorKeeper, distributed by QPerfect from its own package registry.
This is a placeholder, not the real MIMIQ TensorKeeper.
MIMIQ TensorKeeper is proprietary QPerfect software. It is distributed from the
QPerfect package registry and needs an access token:
pip install --index-url https://<token>@license.qperfect.io/pypi/simple mimiq-tensorkeeper
Get your token at https://license.qperfect.io/account/install
Use --index-url, not --extra-index-url. With --extra-index-url pip also queries
public PyPI and may install this placeholder instead of the real package.
Documentation: https://docs.qperfect.io/
Contact: support@qperfect.io
This distribution contains no product code. It exists so that installing this
name from public PyPI gives an actionable message, and so that the name cannot
be claimed by anyone else.
Metadata
Release files for mimiq-tensorkeeper 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mimiq_tensorkeeper-0.0.1.tar.gz | 1.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mimiq_tensorkeeper-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.6 kB
Release files / mimiq_tensorkeeper-0.0.1.tar.gz
| Download URL | mimiq_tensorkeeper-0.0.1.tar.gz |
|---|---|
| Size | 1.9 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/7.0.0 CPython/3.12.13
|
Release files / mimiq_tensorkeeper-0.0.1-py3-none-any.whl
| Download URL | mimiq_tensorkeeper-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.7 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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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|