PyNSN
Python Library for Creating Non-Symbolic Number Displays
(c) Oliver Lindemann (lindemann@cognitive-psychology.eu)
Project homepage: https://github.com/lindemann09/PyNSN
Installing
requires Python 3 (>=3.10)
python -m pip install pynsn
Image formats
By default, PyNSN is able to write SVG or Pillow images. To generate Pygame images or stimuli for Expyriment, please install the respective packages.
Examples
- making arrays: manually creating nsn stimuluss and exporting picture file (binder)
- random arrays: Creating random nsn stimuli (binder)
- matching visual features
- data base, sequences
- Euro flag example: using pictures as objects in array (binder)
1 maintainer
Metadata
1 maintainer
Release files for pynsn 1.1.6
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 | |
|---|---|---|---|---|
| pynsn-1.1.6.tar.gz | 46.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pynsn-1.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 109.6 kB
Release files / pynsn-1.1.6.tar.gz
| Download URL | pynsn-1.1.6.tar.gz |
|---|---|
| Size | 46.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
de9cbc1b923332df8d161edcba21eaeeb8ca8241bf83a2f03a847dd82486b82d
|
|
BLAKE2b-256 checksum How to use checksums |
677f4310f8358760ed361f1f56216c0b189a36957fc4cffd74f99ff54a0cdc66
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.11.25 {"installer":{"name":"uv","version":"0.11.25","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Release files / pynsn-1.1.6-py3-none-any.whl
| Download URL | pynsn-1.1.6-py3-none-any.whl |
|---|---|
| Size | 62.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f470312108ec85d9642978dd085d00f521987ca227abef4b6f6ecb1a465a28eb
|
|
BLAKE2b-256 checksum How to use checksums |
f48b7bd89d63117a6114a66acf58929bb52288bd86cf16ab799daba9e6add43a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.11.25 {"installer":{"name":"uv","version":"0.11.25","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Security for pynsn 1.1.6
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.
