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Enhance README with list operations details

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Clarified list usage in vector math and added examples.
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mcDandy
2026-01-04 22:55:25 +01:00
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@@ -21,14 +21,16 @@ You can also get the node from comfy manager under the name of More math.
- Conversion between INT and FLOAT; AUDIO and IMAGE (red - real - strenght of cosine of frequency; blue - imaginary - strenght of sine of frequency; green - log1p of amplitude - just so it looks good to humans)
- Nodes for FLOAT, CONDITIONING, LATENT, IMAGE, NOISE, AUDIO, VIDEO, MODEL, CLIP and VAE
- Vector Math: Support for List literals `[v1, v2, ...]` and operations between lists/scalars
- Vector Math: Support for List literals `[v1, v2, ...]` and operations between lists/scalars/tensors
## Operators
- Math: `+`, `-`, `*`, `/`, `%`, `^`, `|x|` (norm/abs)
- Boolean: `<`, `<=`, `>`, `>=`, `==`, `!=`
(`false = 0.0`, `true = 1.0`)
- Lists: `[v1, v2, ...]` (Vector math supported, only usefull in `conv` and `permute`)
- Lists: `[v1, v2, ...]` (Vector math supported, mostly usefull in `conv` and `permute`)
- You can also use lists to do math with input tensor (image, noise, conditioing, latent, audio) which results in batched output.
- print_sbape(a) = torch.Shape[1,1024,1024,3]; b = a*[0,0.2,-0.3]; print_shape(b) = torch.Shape[3,1024,1024,3]
## Functions