LiveNodes IO Python
The LiveNodes IO Python package provides nodes for data input and output using raw Python lists/NumPy arrays directly, as well as for generating data from NumPy functions. As such, these nodes are most useful for testing other nodes or extracting results from LiveNodes graphs for further external processing.
Nodes in this package
| Node | Purpose |
|---|---|
Macro |
Node that internally runs another graph and exposes the graphs ports. |
About LiveNodes
LiveNodes are small units of computation for digital signal processing in python. They are connected multiple synced channels to create complex graphs for real-time applications. Each node may provide a GUI or Graph for live interaction and visualization.
Any contribution is welcome! These projects take more time, than I can muster, so feel free to create issues for everything that you think might work better and feel free to create a MR for them as well!
Have fun and good coding!
Yale
Installation
pip install ln_macro
Docs
You can find the docs here.
Restrictions
None, just pure python and numpy.
Metadata
Release files for LN-Macro 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ln_macro-1.0.0.tar.gz | 52.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| LN_Macro-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 86.0 kB
Release files / ln_macro-1.0.0.tar.gz
| Download URL | ln_macro-1.0.0.tar.gz |
|---|---|
| Size | 52.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
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Release files / LN_Macro-1.0.0-py3-none-any.whl
| Download URL | LN_Macro-1.0.0-py3-none-any.whl |
|---|---|
| Size | 33.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
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