AI Lab Exam Code Viewer
A utility package to quickly access and print source codes for AI Lab experiments.
Installation
pip install .
Usage
After installation, run the following command in your terminal:
show-lab-code
This will open an interactive menu where you can choose which experiment's source code you want to print.
Metadata
Release files for intelosv1 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| intelosv1-1.0.1.tar.gz | 4.9 kB | Without provenance | Details for intelosv1-1.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| intelosv1-1.0.1-py3-none-any.whl | Python 3 | none | any | Details for intelosv1-1.0.1-py3-none-any.whl |
Total release size: 13.8 kB
Release files / intelosv1-1.0.1.tar.gz
| Download URL | intelosv1-1.0.1.tar.gz |
|---|---|
| Size | 4.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cad666c64984511a1ab48997af46f909129f04a9a30d4744e96ae424e38b1122
|
|
BLAKE2b-256 checksum How to use checksums |
7d048c48998ec7733b1d12c7f46a2e5150ba940a0ddfaee7632f93edada94c03
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.13
|
Release files / intelosv1-1.0.1-py3-none-any.whl
| Download URL | intelosv1-1.0.1-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f1f6bd0c8459820796f4a2e4f7b2ad695348ba80e23a58e9ce85d6ea784c5114
|
|
BLAKE2b-256 checksum How to use checksums |
50f6f5931821882f2f5a2f4dfc04be66910a8701a7cb20d4529eb1b268a9eb0e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.13
|
Security for intelosv1 1.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.