From ebbc837629132daa4139fc5f72ea878919768b31 Mon Sep 17 00:00:00 2001 From: mcDandy Date: Fri, 20 Feb 2026 18:03:25 +0100 Subject: [PATCH] add overlay (rewrode code by AI) and fix voroni --- README.md | 15 +- more_math/Parser/MathExprLexer.interp | 2 +- more_math/Parser/MathExprLexer.py | 543 +++++++++++++------------ more_math/Parser/UnifiedMathVisitor.py | 49 +++ 4 files changed, 329 insertions(+), 280 deletions(-) diff --git a/README.md b/README.md index bb98f70..2878b13 100644 --- a/README.md +++ b/README.md @@ -116,7 +116,7 @@ You can also get the node from comfy manager under the name of More math. ### Aggregates & Tensor Operations - `tmin(x, y)`: Element-wise minimum of x and y. -- `tmax(x, y)`: Element-wise maximum of x and y. +- `tmax(x, y): Element-wise maximum of x and y. - `smin(x, ...)`: Scalar minimum. Returns the single smallest value across all input tensors/values. - `smax(x, ...)`: Scalar maximum. Returns the single largest value across all input tensors/values. - `sum(x)`: Sum of all elements. @@ -153,7 +153,8 @@ You can also get the node from comfy manager under the name of More math. - `tensor(shape,value)`: Createss a tensor of given shape filled with value. Value can be omittend and defaults to zero. - `flatten(value)`: Flattens a tensor to 1D. If input is list, it flattens nested lists into a single list. - `shape(value)` : Returns the shape of a tensor as a tensor. If input is a list, returns lenght of the list as 1 value tensor. For numbers it returns empty tensor. - +- `overlay(base, overlay, offset)`: Replaces a rectangular region of `base` with `overlay` starting at `offset`. Areas outside the base tensor are ignored. Overlay is cropped if it extends beyond the base tensor. +- ### Advanced Tensor Operations - `map(tensor, c1, ...)`: Remaps `tensor` using source coordinates. @@ -231,7 +232,7 @@ Generates random noise with default shape of aither first input or maximum of in - `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). - `plasma(seed, scale, [octaves,[offset, [shape]]])` or `turbulence` or `plasma_noise`: generates Plasma noise. Same parameters as perlin noise. -- `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). +- `voronoi(seed, scale, [jitter], [offset], [shape])` or `voronoi_noise`: generates Voronoi noise. `scale` controls the frequency of the noise, `jitter` adds randomness to the cell boundaries, `offset` offsets the noise pattern, `shape` controls the output shape (default is determined by node inputs and settings). ### Bitwise Operations @@ -249,13 +250,7 @@ Bitwise operations work with scalars, tensors, and lists, preserving bit pattern - `bnot(a)` or `bitwise_not(a)`: Bitwise NOT. Inverts all bits in the operand. - `bitcount(a)`, `popcount(a)`, or `popcnt(a)`: Count set bits. Returns the number of set bits (1s) in the binary representation as a float. -``` -**Bit Pattern Preservation**: -- **Integers**: Direct bitwise operations -- **Floats**: Bit patterns are preserved using `struct` module (pack float→int, operate, unpack int→float) -- **Tensors**: Uses `.view()` to reinterpret bytes without value conversion -- **Lists**: Element-wise operations applied to each element ### Stack @@ -293,7 +288,7 @@ Bitwise operations work with scalars, tensors, and lists, preserving bit pattern - `Y` - position Y in image. 0 is in top left - `W` or `width` - width of image. y/width = 1 - `H` or `height`- height of image. x/height = 1 - - `B` or 'batch' - position in batch + - `B` or `batch` - position in batch - `T` or `batch_count` - number of batches - `N` or `channel_count` - count of channels - **IMAGE KERNEL**: diff --git a/more_math/Parser/MathExprLexer.interp b/more_math/Parser/MathExprLexer.interp index 92c8714..81d0d1b 100644 --- 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296, 1, 0, 0, 0, 1832, 1833, 5, 94, 0, 0, 1833, 298, 1, 0, 0, 0, 1834, 1835, 5, 60, 0, 0, 1835, 1836, 5, 60, 0, 0, 1836, 300, 1, 0, 0, 0, 1837, 1838, 5, 62, 0, 0, 1838, 1839, 5, 62, 0, 0, 1839, 302, 1, 0, 0, 0, 1840, 1841, 5, 62, 0, 0, 1841, 1842, 5, 61, 0, 0, 1842, 304, 1, 0, 0, 0, 1843, 1844, 5, 62, 0, 0, 1844, 306, 1, 0, 0, 0, 1845, 1846, 5, 60, 0, 0, 1846, 1847, 5, 61, 0, 0, 1847, 308, 1, 0, 0, 0, 1848, 1849, 5, 60, 0, 0, 1849, 310, 1, 0, 0, 0, 1850, 1851, 5, 61, 0, 0, 1851, 1852, 5, 61, 0, 0, 1852, 312, 1, 0, 0, 0, 1853, 1854, 5, 61, 0, 0, 1854, 314, 1, 0, 0, 0, 1855, 1856, 5, 33, 0, 0, 1856, 1857, 5, 61, 0, 0, 1857, 316, 1, 0, 0, 0, 1858, 1859, 5, 124, 0, 0, 1859, 318, 1, 0, 0, 0, 1860, 1861, 5, 40, 0, 0, 1861, 320, 1, 0, 0, 0, 1862, 1863, 5, 41, 0, 0, 1863, 322, 1, 0, 0, 0, 1864, 1865, 5, 44, 0, 0, 1865, 324, 1, 0, 0, 0, 1866, 1867, 5, 59, 0, 0, 1867, 326, 1, 0, 0, 0, 1868, 1869, 5, 45, 0, 0, 1869, 1870, 5, 62, 0, 0, 1870, 328, 1, 0, 0, 0, 1871, 1872, 5, 91, 0, 0, 1872, 330, 1, 0, 0, 0, 1873, 1874, 5, 93, 0, 0, 1874, 332, 1, 0, 0, 0, 1875, 1876, 5, 63, 0, 0, 1876, 334, 1, 0, 0, 0, 1877, 1878, 5, 58, 0, 0, 1878, 336, 1, 0, 0, 0, 1879, 1880, 5, 123, 0, 0, 1880, 338, 1, 0, 0, 0, 1881, 1882, 5, 125, 0, 0, 1882, 340, 1, 0, 0, 0, 1883, 1885, 7, 0, 0, 0, 1884, 1883, 1, 0, 0, 0, 1885, 1886, 1, 0, 0, 0, 1886, 1884, 1, 0, 0, 0, 1886, 1887, 1, 0, 0, 0, 1887, 1895, 1, 0, 0, 0, 1888, 1892, 5, 46, 0, 0, 1889, 1891, 7, 0, 0, 0, 1890, 1889, 1, 0, 0, 0, 1891, 1894, 1, 0, 0, 0, 1892, 1890, 1, 0, 0, 0, 1892, 1893, 1, 0, 0, 0, 1893, 1896, 1, 0, 0, 0, 1894, 1892, 1, 0, 0, 0, 1895, 1888, 1, 0, 0, 0, 1895, 1896, 1, 0, 0, 0, 1896, 1904, 1, 0, 0, 0, 1897, 1899, 5, 46, 0, 0, 1898, 1900, 7, 0, 0, 0, 1899, 1898, 1, 0, 0, 0, 1900, 1901, 1, 0, 0, 0, 1901, 1899, 1, 0, 0, 0, 1901, 1902, 1, 0, 0, 0, 1902, 1904, 1, 0, 0, 0, 1903, 1884, 1, 0, 0, 0, 1903, 1897, 1, 0, 0, 0, 1904, 1914, 1, 0, 0, 0, 1905, 1907, 7, 1, 0, 0, 1906, 1908, 7, 2, 0, 0, 1907, 1906, 1, 0, 0, 0, 1907, 1908, 1, 0, 0, 0, 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1942, 1, 0, 0, 0, 1944, 1947, 1, 0, 0, 0, 1945, 1946, 1, 0, 0, 0, 1945, 1943, 1, 0, 0, 0, 1946, 1948, 1, 0, 0, 0, 1947, 1945, 1, 0, 0, 0, 1948, 1949, 5, 42, 0, 0, 1949, 1950, 5, 47, 0, 0, 1950, 1951, 1, 0, 0, 0, 1951, 1952, 6, 174, 0, 0, 1952, 350, 1, 0, 0, 0, 1953, 1955, 7, 6, 0, 0, 1954, 1953, 1, 0, 0, 0, 1955, 1956, 1, 0, 0, 0, 1956, 1954, 1, 0, 0, 0, 1956, 1957, 1, 0, 0, 0, 1957, 1958, 1, 0, 0, 0, 1958, 1959, 6, 175, 0, 0, 1959, 352, 1, 0, 0, 0, 55, 0, 545, 560, 636, 653, 671, 684, 739, 756, 803, 852, 874, 891, 912, 927, 954, 985, 1001, 1059, 1132, 1156, 1179, 1196, 1211, 1406, 1431, 1456, 1476, 1501, 1526, 1549, 1570, 1589, 1610, 1631, 1656, 1677, 1698, 1720, 1740, 1790, 1820, 1886, 1892, 1895, 1901, 1903, 1907, 1912, 1914, 1921, 1927, 1934, 1945, 1956, 1, 6, 0, 0] \ No newline at end of file diff --git a/more_math/Parser/MathExprLexer.py b/more_math/Parser/MathExprLexer.py index e82cb60..9e7e7c3 100644 --- a/more_math/Parser/MathExprLexer.py +++ b/more_math/Parser/MathExprLexer.py @@ -10,7 +10,7 @@ else: def serializedATN(): return [ - 4,0,176,1947,6,-1,2,0,7,0,2,1,7,1,2,2,7,2,2,3,7,3,2,4,7,4,2,5,7, + 4,0,176,1960,6,-1,2,0,7,0,2,1,7,1,2,2,7,2,2,3,7,3,2,4,7,4,2,5,7, 5,2,6,7,6,2,7,7,7,2,8,7,8,2,9,7,9,2,10,7,10,2,11,7,11,2,12,7,12, 2,13,7,13,2,14,7,14,2,15,7,15,2,16,7,16,2,17,7,17,2,18,7,18,2,19, 7,19,2,20,7,20,2,21,7,21,2,22,7,22,2,23,7,23,2,24,7,24,2,25,7,25, @@ -159,215 +159,216 @@ def serializedATN(): 1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141, 1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141, 1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141, - 1,141,1,141,3,141,1778,8,141,1,142,1,142,1,142,1,142,1,142,1,142, + 1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141,1,141, + 1,141,1,141,1,141,1,141,3,141,1791,8,141,1,142,1,142,1,142,1,142, 1,142,1,142,1,142,1,142,1,142,1,142,1,142,1,142,1,142,1,142,1,142, 1,142,1,142,1,142,1,142,1,142,1,142,1,142,1,142,1,142,1,142,1,142, - 3,142,1808,8,142,1,143,1,143,1,144,1,144,1,145,1,145,1,146,1,146, - 1,147,1,147,1,148,1,148,1,149,1,149,1,149,1,150,1,150,1,150,1,151, - 1,151,1,151,1,152,1,152,1,153,1,153,1,153,1,154,1,154,1,155,1,155, - 1,155,1,156,1,156,1,157,1,157,1,157,1,158,1,158,1,159,1,159,1,160, - 1,160,1,161,1,161,1,162,1,162,1,163,1,163,1,163,1,164,1,164,1,165, - 1,165,1,166,1,166,1,167,1,167,1,168,1,168,1,169,1,169,1,170,4,170, - 1872,8,170,11,170,12,170,1873,1,170,1,170,5,170,1878,8,170,10,170, - 12,170,1881,9,170,3,170,1883,8,170,1,170,1,170,4,170,1887,8,170, - 11,170,12,170,1888,3,170,1891,8,170,1,170,1,170,3,170,1895,8,170, - 1,170,4,170,1898,8,170,11,170,12,170,1899,3,170,1902,8,170,1,171, - 1,171,1,171,1,171,1,171,3,171,1909,8,171,1,172,1,172,5,172,1913, - 8,172,10,172,12,172,1916,9,172,1,173,1,173,5,173,1920,8,173,10,173, - 12,173,1923,9,173,1,173,1,173,1,174,1,174,1,174,1,174,5,174,1931, - 8,174,10,174,12,174,1934,9,174,1,174,1,174,1,174,1,174,1,174,1,175, - 4,175,1942,8,175,11,175,12,175,1943,1,175,1,175,1,1932,0,176,1,1, - 3,2,5,3,7,4,9,5,11,6,13,7,15,8,17,9,19,10,21,11,23,12,25,13,27,14, - 29,15,31,16,33,17,35,18,37,19,39,20,41,21,43,22,45,23,47,24,49,25, - 51,26,53,27,55,28,57,29,59,30,61,31,63,32,65,33,67,34,69,35,71,36, - 73,37,75,38,77,39,79,40,81,41,83,42,85,43,87,44,89,45,91,46,93,47, - 95,48,97,49,99,50,101,51,103,52,105,53,107,54,109,55,111,56,113, - 57,115,58,117,59,119,60,121,61,123,62,125,63,127,64,129,65,131,66, - 133,67,135,68,137,69,139,70,141,71,143,72,145,73,147,74,149,75,151, - 76,153,77,155,78,157,79,159,80,161,81,163,82,165,83,167,84,169,85, - 171,86,173,87,175,88,177,89,179,90,181,91,183,92,185,93,187,94,189, - 95,191,96,193,97,195,98,197,99,199,100,201,101,203,102,205,103,207, - 104,209,105,211,106,213,107,215,108,217,109,219,110,221,111,223, - 112,225,113,227,114,229,115,231,116,233,117,235,118,237,119,239, - 120,241,121,243,122,245,123,247,124,249,125,251,126,253,127,255, - 128,257,129,259,130,261,131,263,132,265,133,267,134,269,135,271, - 136,273,137,275,138,277,139,279,140,281,141,283,142,285,143,287, - 144,289,145,291,146,293,147,295,148,297,149,299,150,301,151,303, - 152,305,153,307,154,309,155,311,156,313,157,315,158,317,159,319, - 160,321,161,323,162,325,163,327,164,329,165,331,166,333,167,335, - 168,337,169,339,170,341,171,343,172,345,173,347,174,349,175,351, - 176,1,0,7,1,0,48,57,2,0,69,69,101,101,2,0,43,43,45,45,3,0,65,90, - 95,95,97,122,4,0,48,57,65,90,95,95,97,122,2,0,10,10,13,13,3,0,9, - 10,13,13,32,32,2010,0,1,1,0,0,0,0,3,1,0,0,0,0,5,1,0,0,0,0,7,1,0, - 0,0,0,9,1,0,0,0,0,11,1,0,0,0,0,13,1,0,0,0,0,15,1,0,0,0,0,17,1,0, - 0,0,0,19,1,0,0,0,0,21,1,0,0,0,0,23,1,0,0,0,0,25,1,0,0,0,0,27,1,0, - 0,0,0,29,1,0,0,0,0,31,1,0,0,0,0,33,1,0,0,0,0,35,1,0,0,0,0,37,1,0, - 0,0,0,39,1,0,0,0,0,41,1,0,0,0,0,43,1,0,0,0,0,45,1,0,0,0,0,47,1,0, - 0,0,0,49,1,0,0,0,0,51,1,0,0,0,0,53,1,0,0,0,0,55,1,0,0,0,0,57,1,0, - 0,0,0,59,1,0,0,0,0,61,1,0,0,0,0,63,1,0,0,0,0,65,1,0,0,0,0,67,1,0, - 0,0,0,69,1,0,0,0,0,71,1,0,0,0,0,73,1,0,0,0,0,75,1,0,0,0,0,77,1,0, - 0,0,0,79,1,0,0,0,0,81,1,0,0,0,0,83,1,0,0,0,0,85,1,0,0,0,0,87,1,0, - 0,0,0,89,1,0,0,0,0,91,1,0,0,0,0,93,1,0,0,0,0,95,1,0,0,0,0,97,1,0, - 0,0,0,99,1,0,0,0,0,101,1,0,0,0,0,103,1,0,0,0,0,105,1,0,0,0,0,107, - 1,0,0,0,0,109,1,0,0,0,0,111,1,0,0,0,0,113,1,0,0,0,0,115,1,0,0,0, - 0,117,1,0,0,0,0,119,1,0,0,0,0,121,1,0,0,0,0,123,1,0,0,0,0,125,1, - 0,0,0,0,127,1,0,0,0,0,129,1,0,0,0,0,131,1,0,0,0,0,133,1,0,0,0,0, - 135,1,0,0,0,0,137,1,0,0,0,0,139,1,0,0,0,0,141,1,0,0,0,0,143,1,0, - 0,0,0,145,1,0,0,0,0,147,1,0,0,0,0,149,1,0,0,0,0,151,1,0,0,0,0,153, - 1,0,0,0,0,155,1,0,0,0,0,157,1,0,0,0,0,159,1,0,0,0,0,161,1,0,0,0, - 0,163,1,0,0,0,0,165,1,0,0,0,0,167,1,0,0,0,0,169,1,0,0,0,0,171,1, - 0,0,0,0,173,1,0,0,0,0,175,1,0,0,0,0,177,1,0,0,0,0,179,1,0,0,0,0, - 181,1,0,0,0,0,183,1,0,0,0,0,185,1,0,0,0,0,187,1,0,0,0,0,189,1,0, - 0,0,0,191,1,0,0,0,0,193,1,0,0,0,0,195,1,0,0,0,0,197,1,0,0,0,0,199, - 1,0,0,0,0,201,1,0,0,0,0,203,1,0,0,0,0,205,1,0,0,0,0,207,1,0,0,0, - 0,209,1,0,0,0,0,211,1,0,0,0,0,213,1,0,0,0,0,215,1,0,0,0,0,217,1, - 0,0,0,0,219,1,0,0,0,0,221,1,0,0,0,0,223,1,0,0,0,0,225,1,0,0,0,0, - 227,1,0,0,0,0,229,1,0,0,0,0,231,1,0,0,0,0,233,1,0,0,0,0,235,1,0, - 0,0,0,237,1,0,0,0,0,239,1,0,0,0,0,241,1,0,0,0,0,243,1,0,0,0,0,245, - 1,0,0,0,0,247,1,0,0,0,0,249,1,0,0,0,0,251,1,0,0,0,0,253,1,0,0,0, - 0,255,1,0,0,0,0,257,1,0,0,0,0,259,1,0,0,0,0,261,1,0,0,0,0,263,1, - 0,0,0,0,265,1,0,0,0,0,267,1,0,0,0,0,269,1,0,0,0,0,271,1,0,0,0,0, - 273,1,0,0,0,0,275,1,0,0,0,0,277,1,0,0,0,0,279,1,0,0,0,0,281,1,0, - 0,0,0,283,1,0,0,0,0,285,1,0,0,0,0,287,1,0,0,0,0,289,1,0,0,0,0,291, - 1,0,0,0,0,293,1,0,0,0,0,295,1,0,0,0,0,297,1,0,0,0,0,299,1,0,0,0, - 0,301,1,0,0,0,0,303,1,0,0,0,0,305,1,0,0,0,0,307,1,0,0,0,0,309,1, - 0,0,0,0,311,1,0,0,0,0,313,1,0,0,0,0,315,1,0,0,0,0,317,1,0,0,0,0, - 319,1,0,0,0,0,321,1,0,0,0,0,323,1,0,0,0,0,325,1,0,0,0,0,327,1,0, - 0,0,0,329,1,0,0,0,0,331,1,0,0,0,0,333,1,0,0,0,0,335,1,0,0,0,0,337, - 1,0,0,0,0,339,1,0,0,0,0,341,1,0,0,0,0,343,1,0,0,0,0,345,1,0,0,0, - 0,347,1,0,0,0,0,349,1,0,0,0,0,351,1,0,0,0,1,353,1,0,0,0,3,357,1, - 0,0,0,5,361,1,0,0,0,7,365,1,0,0,0,9,370,1,0,0,0,11,375,1,0,0,0,13, - 380,1,0,0,0,15,386,1,0,0,0,17,391,1,0,0,0,19,396,1,0,0,0,21,401, - 1,0,0,0,23,407,1,0,0,0,25,413,1,0,0,0,27,419,1,0,0,0,29,423,1,0, - 0,0,31,428,1,0,0,0,33,431,1,0,0,0,35,435,1,0,0,0,37,439,1,0,0,0, - 39,444,1,0,0,0,41,449,1,0,0,0,43,454,1,0,0,0,45,459,1,0,0,0,47,465, - 1,0,0,0,49,471,1,0,0,0,51,477,1,0,0,0,53,482,1,0,0,0,55,488,1,0, - 0,0,57,494,1,0,0,0,59,498,1,0,0,0,61,503,1,0,0,0,63,509,1,0,0,0, - 65,513,1,0,0,0,67,518,1,0,0,0,69,524,1,0,0,0,71,545,1,0,0,0,73,560, - 1,0,0,0,75,562,1,0,0,0,77,567,1,0,0,0,79,572,1,0,0,0,81,583,1,0, - 0,0,83,589,1,0,0,0,85,594,1,0,0,0,87,603,1,0,0,0,89,608,1,0,0,0, - 91,613,1,0,0,0,93,636,1,0,0,0,95,653,1,0,0,0,97,655,1,0,0,0,99,671, - 1,0,0,0,101,684,1,0,0,0,103,686,1,0,0,0,105,692,1,0,0,0,107,697, - 1,0,0,0,109,702,1,0,0,0,111,707,1,0,0,0,113,711,1,0,0,0,115,716, - 1,0,0,0,117,720,1,0,0,0,119,739,1,0,0,0,121,756,1,0,0,0,123,758, - 1,0,0,0,125,767,1,0,0,0,127,771,1,0,0,0,129,778,1,0,0,0,131,782, - 1,0,0,0,133,786,1,0,0,0,135,803,1,0,0,0,137,805,1,0,0,0,139,812, - 1,0,0,0,141,817,1,0,0,0,143,824,1,0,0,0,145,852,1,0,0,0,147,874, - 1,0,0,0,149,891,1,0,0,0,151,912,1,0,0,0,153,927,1,0,0,0,155,929, - 1,0,0,0,157,954,1,0,0,0,159,956,1,0,0,0,161,985,1,0,0,0,163,1001, - 1,0,0,0,165,1003,1,0,0,0,167,1011,1,0,0,0,169,1018,1,0,0,0,171,1028, - 1,0,0,0,173,1059,1,0,0,0,175,1061,1,0,0,0,177,1073,1,0,0,0,179,1087, - 1,0,0,0,181,1095,1,0,0,0,183,1099,1,0,0,0,185,1105,1,0,0,0,187,1112, - 1,0,0,0,189,1132,1,0,0,0,191,1156,1,0,0,0,193,1158,1,0,0,0,195,1179, - 1,0,0,0,197,1196,1,0,0,0,199,1211,1,0,0,0,201,1213,1,0,0,0,203,1220, - 1,0,0,0,205,1231,1,0,0,0,207,1241,1,0,0,0,209,1253,1,0,0,0,211,1263, - 1,0,0,0,213,1273,1,0,0,0,215,1276,1,0,0,0,217,1281,1,0,0,0,219,1287, - 1,0,0,0,221,1291,1,0,0,0,223,1294,1,0,0,0,225,1300,1,0,0,0,227,1309, - 1,0,0,0,229,1316,1,0,0,0,231,1326,1,0,0,0,233,1331,1,0,0,0,235,1339, - 1,0,0,0,237,1346,1,0,0,0,239,1353,1,0,0,0,241,1361,1,0,0,0,243,1369, - 1,0,0,0,245,1376,1,0,0,0,247,1381,1,0,0,0,249,1385,1,0,0,0,251,1406, - 1,0,0,0,253,1431,1,0,0,0,255,1456,1,0,0,0,257,1476,1,0,0,0,259,1501, - 1,0,0,0,261,1526,1,0,0,0,263,1549,1,0,0,0,265,1570,1,0,0,0,267,1589, - 1,0,0,0,269,1610,1,0,0,0,271,1631,1,0,0,0,273,1656,1,0,0,0,275,1677, - 1,0,0,0,277,1698,1,0,0,0,279,1720,1,0,0,0,281,1740,1,0,0,0,283,1777, - 1,0,0,0,285,1807,1,0,0,0,287,1809,1,0,0,0,289,1811,1,0,0,0,291,1813, - 1,0,0,0,293,1815,1,0,0,0,295,1817,1,0,0,0,297,1819,1,0,0,0,299,1821, - 1,0,0,0,301,1824,1,0,0,0,303,1827,1,0,0,0,305,1830,1,0,0,0,307,1832, - 1,0,0,0,309,1835,1,0,0,0,311,1837,1,0,0,0,313,1840,1,0,0,0,315,1842, - 1,0,0,0,317,1845,1,0,0,0,319,1847,1,0,0,0,321,1849,1,0,0,0,323,1851, - 1,0,0,0,325,1853,1,0,0,0,327,1855,1,0,0,0,329,1858,1,0,0,0,331,1860, - 1,0,0,0,333,1862,1,0,0,0,335,1864,1,0,0,0,337,1866,1,0,0,0,339,1868, - 1,0,0,0,341,1890,1,0,0,0,343,1908,1,0,0,0,345,1910,1,0,0,0,347,1917, - 1,0,0,0,349,1926,1,0,0,0,351,1941,1,0,0,0,353,354,5,115,0,0,354, - 355,5,105,0,0,355,356,5,110,0,0,356,2,1,0,0,0,357,358,5,99,0,0,358, - 359,5,111,0,0,359,360,5,115,0,0,360,4,1,0,0,0,361,362,5,116,0,0, - 362,363,5,97,0,0,363,364,5,110,0,0,364,6,1,0,0,0,365,366,5,97,0, - 0,366,367,5,115,0,0,367,368,5,105,0,0,368,369,5,110,0,0,369,8,1, - 0,0,0,370,371,5,97,0,0,371,372,5,99,0,0,372,373,5,111,0,0,373,374, - 5,115,0,0,374,10,1,0,0,0,375,376,5,97,0,0,376,377,5,116,0,0,377, - 378,5,97,0,0,378,379,5,110,0,0,379,12,1,0,0,0,380,381,5,97,0,0,381, - 382,5,116,0,0,382,383,5,97,0,0,383,384,5,110,0,0,384,385,5,50,0, - 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5,97,0,0,658,659,5,112,0,0,659,98,1,0,0,0,660,661,5,112,0,0,661, + 662,5,101,0,0,662,663,5,114,0,0,663,664,5,109,0,0,664,665,5,117, + 0,0,665,666,5,116,0,0,666,672,5,101,0,0,667,668,5,112,0,0,668,669, + 5,101,0,0,669,670,5,114,0,0,670,672,5,109,0,0,671,660,1,0,0,0,671, + 667,1,0,0,0,672,100,1,0,0,0,673,674,5,114,0,0,674,675,5,101,0,0, + 675,676,5,115,0,0,676,677,5,104,0,0,677,678,5,97,0,0,678,679,5,112, + 0,0,679,685,5,101,0,0,680,681,5,114,0,0,681,682,5,115,0,0,682,683, 5,104,0,0,683,685,5,112,0,0,684,673,1,0,0,0,684,680,1,0,0,0,685, 102,1,0,0,0,686,687,5,114,0,0,687,688,5,97,0,0,688,689,5,110,0,0, 689,690,5,103,0,0,690,691,5,101,0,0,691,104,1,0,0,0,692,693,5,116, @@ -688,72 +689,76 @@ def serializedATN(): 5,101,0,0,1740,1722,1,0,0,0,1740,1728,1,0,0,0,1741,282,1,0,0,0,1742, 1743,5,99,0,0,1743,1744,5,101,0,0,1744,1745,5,108,0,0,1745,1746, 5,108,0,0,1746,1747,5,117,0,0,1747,1748,5,108,0,0,1748,1749,5,97, - 0,0,1749,1778,5,114,0,0,1750,1751,5,118,0,0,1751,1752,5,111,0,0, + 0,0,1749,1791,5,114,0,0,1750,1751,5,118,0,0,1751,1752,5,111,0,0, 1752,1753,5,114,0,0,1753,1754,5,111,0,0,1754,1755,5,110,0,0,1755, - 1756,5,111,0,0,1756,1778,5,105,0,0,1757,1758,5,119,0,0,1758,1759, + 1756,5,111,0,0,1756,1791,5,105,0,0,1757,1758,5,119,0,0,1758,1759, 5,111,0,0,1759,1760,5,114,0,0,1760,1761,5,108,0,0,1761,1762,5,101, - 0,0,1762,1778,5,121,0,0,1763,1764,5,99,0,0,1764,1765,5,101,0,0,1765, + 0,0,1762,1791,5,121,0,0,1763,1764,5,99,0,0,1764,1765,5,101,0,0,1765, 1766,5,108,0,0,1766,1767,5,108,0,0,1767,1768,5,117,0,0,1768,1769, 5,108,0,0,1769,1770,5,97,0,0,1770,1771,5,114,0,0,1771,1772,5,95, 0,0,1772,1773,5,110,0,0,1773,1774,5,111,0,0,1774,1775,5,105,0,0, - 1775,1776,5,115,0,0,1776,1778,5,101,0,0,1777,1742,1,0,0,0,1777,1750, - 1,0,0,0,1777,1757,1,0,0,0,1777,1763,1,0,0,0,1778,284,1,0,0,0,1779, - 1780,5,112,0,0,1780,1781,5,108,0,0,1781,1782,5,97,0,0,1782,1783, - 5,115,0,0,1783,1784,5,109,0,0,1784,1808,5,97,0,0,1785,1786,5,116, - 0,0,1786,1787,5,117,0,0,1787,1788,5,114,0,0,1788,1789,5,98,0,0,1789, - 1790,5,117,0,0,1790,1791,5,108,0,0,1791,1792,5,101,0,0,1792,1793, - 5,110,0,0,1793,1794,5,99,0,0,1794,1808,5,101,0,0,1795,1796,5,112, - 0,0,1796,1797,5,108,0,0,1797,1798,5,97,0,0,1798,1799,5,115,0,0,1799, - 1800,5,109,0,0,1800,1801,5,97,0,0,1801,1802,5,95,0,0,1802,1803,5, - 110,0,0,1803,1804,5,111,0,0,1804,1805,5,105,0,0,1805,1806,5,115, - 0,0,1806,1808,5,101,0,0,1807,1779,1,0,0,0,1807,1785,1,0,0,0,1807, - 1795,1,0,0,0,1808,286,1,0,0,0,1809,1810,5,43,0,0,1810,288,1,0,0, - 0,1811,1812,5,45,0,0,1812,290,1,0,0,0,1813,1814,5,42,0,0,1814,292, - 1,0,0,0,1815,1816,5,47,0,0,1816,294,1,0,0,0,1817,1818,5,37,0,0,1818, - 296,1,0,0,0,1819,1820,5,94,0,0,1820,298,1,0,0,0,1821,1822,5,60,0, - 0,1822,1823,5,60,0,0,1823,300,1,0,0,0,1824,1825,5,62,0,0,1825,1826, - 5,62,0,0,1826,302,1,0,0,0,1827,1828,5,62,0,0,1828,1829,5,61,0,0, - 1829,304,1,0,0,0,1830,1831,5,62,0,0,1831,306,1,0,0,0,1832,1833,5, - 60,0,0,1833,1834,5,61,0,0,1834,308,1,0,0,0,1835,1836,5,60,0,0,1836, - 310,1,0,0,0,1837,1838,5,61,0,0,1838,1839,5,61,0,0,1839,312,1,0,0, - 0,1840,1841,5,61,0,0,1841,314,1,0,0,0,1842,1843,5,33,0,0,1843,1844, - 5,61,0,0,1844,316,1,0,0,0,1845,1846,5,124,0,0,1846,318,1,0,0,0,1847, - 1848,5,40,0,0,1848,320,1,0,0,0,1849,1850,5,41,0,0,1850,322,1,0,0, - 0,1851,1852,5,44,0,0,1852,324,1,0,0,0,1853,1854,5,59,0,0,1854,326, - 1,0,0,0,1855,1856,5,45,0,0,1856,1857,5,62,0,0,1857,328,1,0,0,0,1858, - 1859,5,91,0,0,1859,330,1,0,0,0,1860,1861,5,93,0,0,1861,332,1,0,0, - 0,1862,1863,5,63,0,0,1863,334,1,0,0,0,1864,1865,5,58,0,0,1865,336, - 1,0,0,0,1866,1867,5,123,0,0,1867,338,1,0,0,0,1868,1869,5,125,0,0, - 1869,340,1,0,0,0,1870,1872,7,0,0,0,1871,1870,1,0,0,0,1872,1873,1, - 0,0,0,1873,1871,1,0,0,0,1873,1874,1,0,0,0,1874,1882,1,0,0,0,1875, - 1879,5,46,0,0,1876,1878,7,0,0,0,1877,1876,1,0,0,0,1878,1881,1,0, - 0,0,1879,1877,1,0,0,0,1879,1880,1,0,0,0,1880,1883,1,0,0,0,1881,1879, - 1,0,0,0,1882,1875,1,0,0,0,1882,1883,1,0,0,0,1883,1891,1,0,0,0,1884, - 1886,5,46,0,0,1885,1887,7,0,0,0,1886,1885,1,0,0,0,1887,1888,1,0, - 0,0,1888,1886,1,0,0,0,1888,1889,1,0,0,0,1889,1891,1,0,0,0,1890,1871, - 1,0,0,0,1890,1884,1,0,0,0,1891,1901,1,0,0,0,1892,1894,7,1,0,0,1893, - 1895,7,2,0,0,1894,1893,1,0,0,0,1894,1895,1,0,0,0,1895,1897,1,0,0, - 0,1896,1898,7,0,0,0,1897,1896,1,0,0,0,1898,1899,1,0,0,0,1899,1897, - 1,0,0,0,1899,1900,1,0,0,0,1900,1902,1,0,0,0,1901,1892,1,0,0,0,1901, - 1902,1,0,0,0,1902,342,1,0,0,0,1903,1904,5,112,0,0,1904,1909,5,105, - 0,0,1905,1906,5,80,0,0,1906,1909,5,73,0,0,1907,1909,7,1,0,0,1908, - 1903,1,0,0,0,1908,1905,1,0,0,0,1908,1907,1,0,0,0,1909,344,1,0,0, - 0,1910,1914,7,3,0,0,1911,1913,7,4,0,0,1912,1911,1,0,0,0,1913,1916, - 1,0,0,0,1914,1912,1,0,0,0,1914,1915,1,0,0,0,1915,346,1,0,0,0,1916, - 1914,1,0,0,0,1917,1921,5,35,0,0,1918,1920,8,5,0,0,1919,1918,1,0, - 0,0,1920,1923,1,0,0,0,1921,1919,1,0,0,0,1921,1922,1,0,0,0,1922,1924, - 1,0,0,0,1923,1921,1,0,0,0,1924,1925,6,173,0,0,1925,348,1,0,0,0,1926, - 1927,5,47,0,0,1927,1928,5,42,0,0,1928,1932,1,0,0,0,1929,1931,9,0, - 0,0,1930,1929,1,0,0,0,1931,1934,1,0,0,0,1932,1933,1,0,0,0,1932,1930, - 1,0,0,0,1933,1935,1,0,0,0,1934,1932,1,0,0,0,1935,1936,5,42,0,0,1936, - 1937,5,47,0,0,1937,1938,1,0,0,0,1938,1939,6,174,0,0,1939,350,1,0, - 0,0,1940,1942,7,6,0,0,1941,1940,1,0,0,0,1942,1943,1,0,0,0,1943,1941, - 1,0,0,0,1943,1944,1,0,0,0,1944,1945,1,0,0,0,1945,1946,6,175,0,0, - 1946,352,1,0,0,0,55,0,545,560,636,653,671,684,739,756,803,852,874, - 891,912,927,954,985,1001,1059,1132,1156,1179,1196,1211,1406,1431, - 1456,1476,1501,1526,1549,1570,1589,1610,1631,1656,1677,1698,1720, - 1740,1777,1807,1873,1879,1882,1888,1890,1894,1899,1901,1908,1914, - 1921,1932,1943,1,6,0,0 + 1775,1776,5,115,0,0,1776,1791,5,101,0,0,1777,1778,5,118,0,0,1778, + 1779,5,111,0,0,1779,1780,5,114,0,0,1780,1781,5,111,0,0,1781,1782, + 5,110,0,0,1782,1783,5,111,0,0,1783,1784,5,105,0,0,1784,1785,5,95, + 0,0,1785,1786,5,110,0,0,1786,1787,5,111,0,0,1787,1788,5,105,0,0, + 1788,1789,5,115,0,0,1789,1791,5,101,0,0,1790,1742,1,0,0,0,1790,1750, + 1,0,0,0,1790,1757,1,0,0,0,1790,1763,1,0,0,0,1790,1777,1,0,0,0,1791, + 284,1,0,0,0,1792,1793,5,112,0,0,1793,1794,5,108,0,0,1794,1795,5, + 97,0,0,1795,1796,5,115,0,0,1796,1797,5,109,0,0,1797,1821,5,97,0, + 0,1798,1799,5,116,0,0,1799,1800,5,117,0,0,1800,1801,5,114,0,0,1801, + 1802,5,98,0,0,1802,1803,5,117,0,0,1803,1804,5,108,0,0,1804,1805, + 5,101,0,0,1805,1806,5,110,0,0,1806,1807,5,99,0,0,1807,1821,5,101, + 0,0,1808,1809,5,112,0,0,1809,1810,5,108,0,0,1810,1811,5,97,0,0,1811, + 1812,5,115,0,0,1812,1813,5,109,0,0,1813,1814,5,97,0,0,1814,1815, + 5,95,0,0,1815,1816,5,110,0,0,1816,1817,5,111,0,0,1817,1818,5,105, + 0,0,1818,1819,5,115,0,0,1819,1821,5,101,0,0,1820,1792,1,0,0,0,1820, + 1798,1,0,0,0,1820,1808,1,0,0,0,1821,286,1,0,0,0,1822,1823,5,43,0, + 0,1823,288,1,0,0,0,1824,1825,5,45,0,0,1825,290,1,0,0,0,1826,1827, + 5,42,0,0,1827,292,1,0,0,0,1828,1829,5,47,0,0,1829,294,1,0,0,0,1830, + 1831,5,37,0,0,1831,296,1,0,0,0,1832,1833,5,94,0,0,1833,298,1,0,0, + 0,1834,1835,5,60,0,0,1835,1836,5,60,0,0,1836,300,1,0,0,0,1837,1838, + 5,62,0,0,1838,1839,5,62,0,0,1839,302,1,0,0,0,1840,1841,5,62,0,0, + 1841,1842,5,61,0,0,1842,304,1,0,0,0,1843,1844,5,62,0,0,1844,306, + 1,0,0,0,1845,1846,5,60,0,0,1846,1847,5,61,0,0,1847,308,1,0,0,0,1848, + 1849,5,60,0,0,1849,310,1,0,0,0,1850,1851,5,61,0,0,1851,1852,5,61, + 0,0,1852,312,1,0,0,0,1853,1854,5,61,0,0,1854,314,1,0,0,0,1855,1856, + 5,33,0,0,1856,1857,5,61,0,0,1857,316,1,0,0,0,1858,1859,5,124,0,0, + 1859,318,1,0,0,0,1860,1861,5,40,0,0,1861,320,1,0,0,0,1862,1863,5, + 41,0,0,1863,322,1,0,0,0,1864,1865,5,44,0,0,1865,324,1,0,0,0,1866, + 1867,5,59,0,0,1867,326,1,0,0,0,1868,1869,5,45,0,0,1869,1870,5,62, + 0,0,1870,328,1,0,0,0,1871,1872,5,91,0,0,1872,330,1,0,0,0,1873,1874, + 5,93,0,0,1874,332,1,0,0,0,1875,1876,5,63,0,0,1876,334,1,0,0,0,1877, + 1878,5,58,0,0,1878,336,1,0,0,0,1879,1880,5,123,0,0,1880,338,1,0, + 0,0,1881,1882,5,125,0,0,1882,340,1,0,0,0,1883,1885,7,0,0,0,1884, + 1883,1,0,0,0,1885,1886,1,0,0,0,1886,1884,1,0,0,0,1886,1887,1,0,0, + 0,1887,1895,1,0,0,0,1888,1892,5,46,0,0,1889,1891,7,0,0,0,1890,1889, + 1,0,0,0,1891,1894,1,0,0,0,1892,1890,1,0,0,0,1892,1893,1,0,0,0,1893, + 1896,1,0,0,0,1894,1892,1,0,0,0,1895,1888,1,0,0,0,1895,1896,1,0,0, + 0,1896,1904,1,0,0,0,1897,1899,5,46,0,0,1898,1900,7,0,0,0,1899,1898, + 1,0,0,0,1900,1901,1,0,0,0,1901,1899,1,0,0,0,1901,1902,1,0,0,0,1902, + 1904,1,0,0,0,1903,1884,1,0,0,0,1903,1897,1,0,0,0,1904,1914,1,0,0, + 0,1905,1907,7,1,0,0,1906,1908,7,2,0,0,1907,1906,1,0,0,0,1907,1908, + 1,0,0,0,1908,1910,1,0,0,0,1909,1911,7,0,0,0,1910,1909,1,0,0,0,1911, + 1912,1,0,0,0,1912,1910,1,0,0,0,1912,1913,1,0,0,0,1913,1915,1,0,0, + 0,1914,1905,1,0,0,0,1914,1915,1,0,0,0,1915,342,1,0,0,0,1916,1917, + 5,112,0,0,1917,1922,5,105,0,0,1918,1919,5,80,0,0,1919,1922,5,73, + 0,0,1920,1922,7,1,0,0,1921,1916,1,0,0,0,1921,1918,1,0,0,0,1921,1920, + 1,0,0,0,1922,344,1,0,0,0,1923,1927,7,3,0,0,1924,1926,7,4,0,0,1925, + 1924,1,0,0,0,1926,1929,1,0,0,0,1927,1925,1,0,0,0,1927,1928,1,0,0, + 0,1928,346,1,0,0,0,1929,1927,1,0,0,0,1930,1934,5,35,0,0,1931,1933, + 8,5,0,0,1932,1931,1,0,0,0,1933,1936,1,0,0,0,1934,1932,1,0,0,0,1934, + 1935,1,0,0,0,1935,1937,1,0,0,0,1936,1934,1,0,0,0,1937,1938,6,173, + 0,0,1938,348,1,0,0,0,1939,1940,5,47,0,0,1940,1941,5,42,0,0,1941, + 1945,1,0,0,0,1942,1944,9,0,0,0,1943,1942,1,0,0,0,1944,1947,1,0,0, + 0,1945,1946,1,0,0,0,1945,1943,1,0,0,0,1946,1948,1,0,0,0,1947,1945, + 1,0,0,0,1948,1949,5,42,0,0,1949,1950,5,47,0,0,1950,1951,1,0,0,0, + 1951,1952,6,174,0,0,1952,350,1,0,0,0,1953,1955,7,6,0,0,1954,1953, + 1,0,0,0,1955,1956,1,0,0,0,1956,1954,1,0,0,0,1956,1957,1,0,0,0,1957, + 1958,1,0,0,0,1958,1959,6,175,0,0,1959,352,1,0,0,0,55,0,545,560,636, + 653,671,684,739,756,803,852,874,891,912,927,954,985,1001,1059,1132, + 1156,1179,1196,1211,1406,1431,1456,1476,1501,1526,1549,1570,1589, + 1610,1631,1656,1677,1698,1720,1740,1790,1820,1886,1892,1895,1901, + 1903,1907,1912,1914,1921,1927,1934,1945,1956,1,6,0,0 ] class MathExprLexer(Lexer): diff --git a/more_math/Parser/UnifiedMathVisitor.py b/more_math/Parser/UnifiedMathVisitor.py index 3032b3b..2e291ee 100644 --- a/more_math/Parser/UnifiedMathVisitor.py +++ b/more_math/Parser/UnifiedMathVisitor.py @@ -2788,3 +2788,52 @@ class UnifiedMathVisitor(MathExprVisitor): for i in range(len(pad) - 1, 0, -2): reversed_pad.extend([pad[i-1], pad[i]]) return F.pad(val, reversed_pad) + + def visitOverlayFunc(self, ctx): + base = self._promote_to_tensor((yield ctx.expr(0))) + overlay = self._promote_to_tensor((yield ctx.expr(1))) + offset = yield ctx.expr(2) + + # Convert offset to list of ints + if self._is_tensor(offset): + offset = [int(x) for x in offset.flatten().tolist()] + elif self._is_list(offset): + offset = [int(x) for x in offset] + else: + offset = [int(offset)] + + # Ensure offset matches base dimensions + if len(offset) != base.ndim: + raise ValueError(f"{ctx.start.line}:{ctx.start.column}: Offset dimensions {len(offset)} must match base dimensions {base.ndim}") + + # Calculate crop and paste regions + crop_slices = [] + paste_slices = [] + + for i in range(base.ndim): + off = offset[i] + overlay_size = overlay.shape[i] + base_size = base.shape[i] + + # Determine overlay crop region (what part of overlay to use) + crop_start = max(0, -off) # Crop from overlay if offset is negative + crop_end = min(overlay_size, base_size - off) # Crop if overlay extends beyond base + + # Determine base paste region (where to place overlay in base) + paste_start = max(0, off) # Start position in base + paste_end = min(base_size, off + overlay_size) # End position in base + + crop_slices.append(slice(crop_start, crop_end)) + paste_slices.append(slice(paste_start, paste_end)) + + # Crop overlay to fit + cropped_overlay = overlay[tuple(crop_slices)] + + # Create result by cloning base and pasting overlay + result = base.clone() + result[tuple(paste_slices)] = cropped_overlay + + return result + + +