add missing to readme
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@@ -227,6 +227,12 @@ Generates random noise with default shape of aither first input or maximum of in
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- `random_chi2(seed, df,[shape])` or `randchi2`: generates a random tensor with Chi-squared distribution. Degrees of freedom `df` controls the shape. Sum of squared normal distributions.
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- `random_studentt(seed, df,[shape])` or `randt`: generates a random tensor with Student's t distribution. Has heavier tails than normal distribution, useful for robust noise. As `df` increases, approaches normal distribution.
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### Noise Generation
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- `perlin(seed, scale, [octaves,[offset, [shape]]])` or `perlin_noise`: generates Perlin noise. `scale` controls the frequency of the noise, `octaves` adds additional layers of noise, `offset` offsets the noise pattern, `shape` controls the output shape (default is determined by node inputs and settings).
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- `plasma(seed, scale, [octaves,[offset, [shape]]])` or `turbulence` or `plasma_noise`: generates Plasma noise. Same parameters as perlin noise.
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- `voronoi(seed, scale, [shape])` or `voronoi_noise`: generates Voronoi noise. `scale` controls the density of the points, `shape` controls the output shape (default is determined by node inputs and settings).
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### Bitwise Operations
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Bitwise operations work with scalars, tensors, and lists, preserving bit patterns (especially important for floats where bit patterns are preserved, not values converted).
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@@ -385,7 +385,7 @@ WEIBULLDIST: 'randw' | 'random_weibull';
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CHI2DIST: 'randchi2' | 'random_chi2';
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STUDENTTDIST: 'randt' | 'random_studentt';
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PERLIN: 'perlin' | 'perlin_noise';
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CELLULAR: 'cellular' | 'voronoi' | 'worley' | 'cellular_noise';
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CELLULAR: 'cellular' | 'voronoi' | 'worley' | 'cellular_noise'|'voronoi_noise';
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PLASMA: 'plasma' | 'turbulence' | 'plasma_noise';
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PLUS: '+';
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