add rm_key
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mcDandy
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@@ -6,7 +6,7 @@ INBUILT_CONSTANTS = {
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'e', 'pi'
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}
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INBUILT_FUNCTIONS = {
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'abs', 'acos', 'acosh', 'add_key', 'all', 'angle', 'any', 'append', 'argmax', 'argmin', 'argsort', 'as_nested_tensor', 'asin', 'asinh', 'atan', 'atan2', 'atanh', 'band', 'batch_shuffle', 'bitcount', 'bitwise_and', 'bitwise_not', 'bitwise_or', 'bitwise_xor', 'blur', 'bnot', 'bor', 'botk', 'botk_ind', 'botk_indices', 'bxor', 'cat', 'ceil', 'cellular', 'cellular_noise', 'cielab_to_rgb', 'clamp', 'cnt', 'concat', 'concatenate', 'conv', 'convolution', 'coordinates', 'coords', 'corr', 'correlation', 'cos', 'cosh', 'cosine_similarity', 'cossim', 'count', 'cov', 'crop', 'cross', 'cubic', 'cubic_ease', 'cumprod', 'cumsum', 'diag', 'diagonal_matrix', 'dilate', 'dist', 'distance', 'domain_warp', 'domain_warp_noise', 'dot', 'edge', 'elastic', 'elastic_ease', 'endswith', 'entropy', 'erf', 'erfinv', 'erode', 'exp', 'ezconv', 'ezconvolution', 'fft', 'find', 'flatten', 'flip', 'float', 'floor', 'flow_ang', 'flow_angle', 'flow_apply', 'flow_mag', 'flow_magnitude', 'flow_to_image', 'fract', 'gamma', 'gaussian', 'gelu', 'get_value', 'hist', 'histogram', 'hsv_to_rgb', 'ifft', 'int', 'int_to_rgb', 'interpolate_area', 'interpolate_linear', 'interpolate_nearest', 'interpolate_nearest_exact', 'join', 'length', 'lerp', 'linspace', 'ln', 'log', 'logspace', 'lower', 'map', 'matmul', 'mean', 'median', 'mode', 'moment', 'morph_close', 'morph_open', 'motion_mask', 'nan_to_num', 'noise', 'now', 'nvl', 'oklab_to_rgb', 'overlay', 'pad', 'percentile', 'perlin', 'perlin_noise', 'perm', 'permute', 'pinv', 'plasma', 'plasma_noise', 'popcnt', 'popcount', 'pow', 'prcnt', 'print', 'print_shape', 'pshp', 'quantile', 'quartil', 'quartile', 'rand', 'randb', 'randbeta', 'randc', 'rande', 'randg', 'randgumbel', 'randchi2', 'randl', 'randln', 'randn', 'random_bernoulli', 'random_beta', 'random_cauchy', 'random_exponential', 'random_gamma', 'random_gumbel', 'random_chi2', 'random_laplace', 'random_log_normal', 'random_normal', 'random_poisson', 'random_studentt', 'random_uniform', 'random_weibull', 'randp', 'randt', 'randu', 'randw', 'range', 'relu', 'remap', 'remove_kay', 'remove_key', 'repeat', 'replace', 'reshape', 'rgb_to_cielab', 'rgb_to_hsv', 'rgb_to_int', 'rgb_to_oklab', 'ridged', 'ridged_noise', 'rife', 'roll', 'round', 'rshp', 'select', 'shape', 'shuffle', 'sigm', 'sign', 'sin', 'sine', 'sine_ease', 'singular_value_decomposition', 'sinh', 'smax', 'smin', 'smootherstep', 'smoothstep', 'snorm', 'softmax', 'softmin', 'softplus', 'sort', 'split', 'sqrt', 'squeeze', 'stack_clear', 'stack_get', 'stack_has', 'stack_pop', 'stack_push', 'startswith', 'std', 'step', 'substr', 'substring', 'sum', 'svd', 'swap', 'tan', 'tanh', 'tensor', 'text_image', 'timestamp', 'tmax', 'tmin', 'tnorm', 'topk', 'topk_ind', 'topk_indices', 'trim', 'turbulence', 'unique', 'unsqueeze', 'upper', 'var', 'voronoi', 'voronoi_noise', 'where', 'worley'
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'abs', 'acos', 'acosh', 'add_key', 'all', 'angle', 'any', 'append', 'argmax', 'argmin', 'argsort', 'as_nested_tensor', 'asin', 'asinh', 'atan', 'atan2', 'atanh', 'band', 'batch_shuffle', 'bitcount', 'bitwise_and', 'bitwise_not', 'bitwise_or', 'bitwise_xor', 'blur', 'bnot', 'bor', 'botk', 'botk_ind', 'botk_indices', 'bxor', 'cat', 'ceil', 'cellular', 'cellular_noise', 'cielab_to_rgb', 'clamp', 'cnt', 'concat', 'concatenate', 'conv', 'convolution', 'coordinates', 'coords', 'corr', 'correlation', 'cos', 'cosh', 'cosine_similarity', 'cossim', 'count', 'cov', 'crop', 'cross', 'cubic', 'cubic_ease', 'cumprod', 'cumsum', 'diag', 'diagonal_matrix', 'dilate', 'dist', 'distance', 'domain_warp', 'domain_warp_noise', 'dot', 'edge', 'elastic', 'elastic_ease', 'endswith', 'entropy', 'erf', 'erfinv', 'erode', 'exp', 'ezconv', 'ezconvolution', 'fft', 'find', 'flatten', 'flip', 'float', 'floor', 'flow_ang', 'flow_angle', 'flow_apply', 'flow_mag', 'flow_magnitude', 'flow_to_image', 'fract', 'gamma', 'gaussian', 'gelu', 'get_value', 'hist', 'histogram', 'hsv_to_rgb', 'ifft', 'int', 'int_to_rgb', 'interpolate_area', 'interpolate_linear', 'interpolate_nearest', 'interpolate_nearest_exact', 'join', 'length', 'lerp', 'linspace', 'ln', 'log', 'logspace', 'lower', 'map', 'matmul', 'mean', 'median', 'mode', 'moment', 'morph_close', 'morph_open', 'motion_mask', 'nan_to_num', 'noise', 'now', 'nvl', 'oklab_to_rgb', 'overlay', 'pad', 'percentile', 'perlin', 'perlin_noise', 'perm', 'permute', 'pinv', 'plasma', 'plasma_noise', 'popcnt', 'popcount', 'pow', 'prcnt', 'print', 'print_shape', 'pshp', 'quantile', 'quartil', 'quartile', 'rand', 'randb', 'randbeta', 'randc', 'rande', 'randg', 'randgumbel', 'randchi2', 'randl', 'randln', 'randn', 'random_bernoulli', 'random_beta', 'random_cauchy', 'random_exponential', 'random_gamma', 'random_gumbel', 'random_chi2', 'random_laplace', 'random_log_normal', 'random_normal', 'random_poisson', 'random_studentt', 'random_uniform', 'random_weibull', 'randp', 'randt', 'randu', 'randw', 'range', 'relu', 'remap', 'remove_key', 'repeat', 'replace', 'reshape', 'rgb_to_cielab', 'rgb_to_hsv', 'rgb_to_int', 'rgb_to_oklab', 'ridged', 'ridged_noise', 'rife', 'rm_kay', 'roll', 'round', 'rshp', 'select', 'shape', 'shuffle', 'sigm', 'sign', 'sin', 'sine', 'sine_ease', 'singular_value_decomposition', 'sinh', 'smax', 'smin', 'smootherstep', 'smoothstep', 'snorm', 'softmax', 'softmin', 'softplus', 'sort', 'split', 'sqrt', 'squeeze', 'stack_clear', 'stack_get', 'stack_has', 'stack_pop', 'stack_push', 'startswith', 'std', 'step', 'substr', 'substring', 'sum', 'svd', 'swap', 'tan', 'tanh', 'tensor', 'text_image', 'timestamp', 'tmax', 'tmin', 'tnorm', 'topk', 'topk_ind', 'topk_indices', 'trim', 'turbulence', 'unique', 'unsqueeze', 'upper', 'var', 'voronoi', 'voronoi_noise', 'where', 'worley'
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}
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INBUILT_FUNCTION_META = {
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@@ -188,7 +188,6 @@ INBUILT_FUNCTION_META = {
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'range': {'min_args': 3, 'max_args': 3, 'snippet': 'range()', 'description': 'range(start, stop, step) - creates a range of values between start (inclusive) and stop (exclusive) using step. Use linspace if you want value count.'},
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'relu': {'min_args': 1, 'max_args': 1, 'snippet': 'relu()', 'description': 'relu(x) - applies rectified linear unit function: max(0, x)'},
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'remap': {'min_args': 5, 'max_args': 5, 'snippet': 'remap()', 'description': 'remap(v, i_min, i_max, o_min, o_max) - remaps values from input range to output range'},
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'remove_kay': {'min_args': 2, 'max_args': 2, 'snippet': 'remove_kay()', 'description': 'remove_key(dict, key) - removes a dictionary entry and returns the updated dictionary'},
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'remove_key': {'min_args': 2, 'max_args': 2, 'snippet': 'remove_key()', 'description': 'remove_key(dict, key) - removes a dictionary entry and returns the updated dictionary'},
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'repeat': {'min_args': 2, 'max_args': 3, 'snippet': 'repeat()', 'description': 'repeat(x, count, [dims]) - repeats tensor elements; count may be scalar or per-dim list'},
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'replace': {'min_args': 3, 'max_args': 3, 'snippet': 'replace()', 'description': 'replace(s, old, new) - replaces occurrences of old with new in s. Mostly for strings but can work with lists and tensors.'},
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@@ -200,6 +199,7 @@ INBUILT_FUNCTION_META = {
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'ridged': {'min_args': 2, 'max_args': 5, 'snippet': 'ridged()', 'description': 'ridged_noise(seed, scale, [octaves], [offset], [shape]) - generates ridged multi-fractal noise'},
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'ridged_noise': {'min_args': 2, 'max_args': 5, 'snippet': 'ridged_noise()', 'description': 'ridged_noise(seed, scale, [octaves], [offset], [shape]) - generates ridged multi-fractal noise'},
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'rife': {'min_args': 4, 'max_args': 5, 'snippet': 'rife()', 'description': 'rife(image1, image2, [tile_size], [iterations], [multi_scale]) - computes an intermediate frame between image1 and image2 using RIFE - tile_size: chuncks image to overlapping tile_size*tile_size parts to conserve memory Default is 1024x1024 when over 2MPx. When tiling size is between 0 - 1 it takes as a fraction of the resolution - iterations: how many times to run RIFE model. Default 12 - multi_scale: also use low resolution of base image for giant movements'},
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'rm_kay': {'min_args': 2, 'max_args': 2, 'snippet': 'rm_kay()', 'description': 'remove_key(dict, key) - removes a dictionary entry and returns the updated dictionary'},
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'roll': {'min_args': 2, 'max_args': 3, 'snippet': 'roll()', 'description': 'roll(x, shifts, [axis]) - rolls tensor x along axis'},
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'round': {'min_args': 1, 'max_args': 1, 'snippet': 'round()', 'description': 'round(x) - rounds x to the nearest integer'},
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'rshp': {'min_args': 2, 'max_args': 2, 'snippet': 'rshp()', 'description': 'reshape(x, shape) - reshapes tensor x to the specified shape'},
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Load Diff
@@ -9,7 +9,7 @@ export const CONSTANTS = new Set([
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]);
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export const FUNCTIONS = new Set([
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"abs", "acos", "acosh", "add_key", "all", "angle", "any", "append", "argmax", "argmin", "argsort", "as_nested_tensor", "asin", "asinh", "atan", "atan2", "atanh", "band", "batch_shuffle", "bitcount", "bitwise_and", "bitwise_not", "bitwise_or", "bitwise_xor", "blur", "bnot", "bor", "botk", "botk_ind", "botk_indices", "bxor", "cat", "ceil", "cellular", "cellular_noise", "cielab_to_rgb", "clamp", "cnt", "concat", "concatenate", "conv", "convolution", "coordinates", "coords", "corr", "correlation", "cos", "cosh", "cosine_similarity", "cossim", "count", "cov", "crop", "cross", "cubic", "cubic_ease", "cumprod", "cumsum", "diag", "diagonal_matrix", "dilate", "dist", "distance", "domain_warp", "domain_warp_noise", "dot", "edge", "elastic", "elastic_ease", "endswith", "entropy", "erf", "erfinv", "erode", "exp", "ezconv", "ezconvolution", "fft", "find", "flatten", "flip", "float", "floor", "flow_ang", "flow_angle", "flow_apply", "flow_mag", "flow_magnitude", "flow_to_image", "fract", "gamma", "gaussian", "gelu", "get_value", "hist", "histogram", "hsv_to_rgb", "ifft", "int", "int_to_rgb", "interpolate_area", "interpolate_linear", "interpolate_nearest", "interpolate_nearest_exact", "join", "length", "lerp", "linspace", "ln", "log", "logspace", "lower", "map", "matmul", "mean", "median", "mode", "moment", "morph_close", "morph_open", "motion_mask", "nan_to_num", "noise", "now", "nvl", "oklab_to_rgb", "overlay", "pad", "percentile", "perlin", "perlin_noise", "perm", "permute", "pinv", "plasma", "plasma_noise", "popcnt", "popcount", "pow", "prcnt", "print", "print_shape", "pshp", "quantile", "quartil", "quartile", "rand", "randb", "randbeta", "randc", "rande", "randg", "randgumbel", "randchi2", "randl", "randln", "randn", "random_bernoulli", "random_beta", "random_cauchy", "random_exponential", "random_gamma", "random_gumbel", "random_chi2", "random_laplace", "random_log_normal", "random_normal", "random_poisson", "random_studentt", "random_uniform", "random_weibull", "randp", "randt", "randu", "randw", "range", "relu", "remap", "remove_kay", "remove_key", "repeat", "replace", "reshape", "rgb_to_cielab", "rgb_to_hsv", "rgb_to_int", "rgb_to_oklab", "ridged", "ridged_noise", "rife", "roll", "round", "rshp", "select", "shape", "shuffle", "sigm", "sign", "sin", "sine", "sine_ease", "singular_value_decomposition", "sinh", "smax", "smin", "smootherstep", "smoothstep", "snorm", "softmax", "softmin", "softplus", "sort", "split", "sqrt", "squeeze", "stack_clear", "stack_get", "stack_has", "stack_pop", "stack_push", "startswith", "std", "step", "substr", "substring", "sum", "svd", "swap", "tan", "tanh", "tensor", "text_image", "timestamp", "tmax", "tmin", "tnorm", "topk", "topk_ind", "topk_indices", "trim", "turbulence", "unique", "unsqueeze", "upper", "var", "voronoi", "voronoi_noise", "where", "worley"
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"abs", "acos", "acosh", "add_key", "all", "angle", "any", "append", "argmax", "argmin", "argsort", "as_nested_tensor", "asin", "asinh", "atan", "atan2", "atanh", "band", "batch_shuffle", "bitcount", "bitwise_and", "bitwise_not", "bitwise_or", "bitwise_xor", "blur", "bnot", "bor", "botk", "botk_ind", "botk_indices", "bxor", "cat", "ceil", "cellular", "cellular_noise", "cielab_to_rgb", "clamp", "cnt", "concat", "concatenate", "conv", "convolution", "coordinates", "coords", "corr", "correlation", "cos", "cosh", "cosine_similarity", "cossim", "count", "cov", "crop", "cross", "cubic", "cubic_ease", "cumprod", "cumsum", "diag", "diagonal_matrix", "dilate", "dist", "distance", "domain_warp", "domain_warp_noise", "dot", "edge", "elastic", "elastic_ease", "endswith", "entropy", "erf", "erfinv", "erode", "exp", "ezconv", "ezconvolution", "fft", "find", "flatten", "flip", "float", "floor", "flow_ang", "flow_angle", "flow_apply", "flow_mag", "flow_magnitude", "flow_to_image", "fract", "gamma", "gaussian", "gelu", "get_value", "hist", "histogram", "hsv_to_rgb", "ifft", "int", "int_to_rgb", "interpolate_area", "interpolate_linear", "interpolate_nearest", "interpolate_nearest_exact", "join", "length", "lerp", "linspace", "ln", "log", "logspace", "lower", "map", "matmul", "mean", "median", "mode", "moment", "morph_close", "morph_open", "motion_mask", "nan_to_num", "noise", "now", "nvl", "oklab_to_rgb", "overlay", "pad", "percentile", "perlin", "perlin_noise", "perm", "permute", "pinv", "plasma", "plasma_noise", "popcnt", "popcount", "pow", "prcnt", "print", "print_shape", "pshp", "quantile", "quartil", "quartile", "rand", "randb", "randbeta", "randc", "rande", "randg", "randgumbel", "randchi2", "randl", "randln", "randn", "random_bernoulli", "random_beta", "random_cauchy", "random_exponential", "random_gamma", "random_gumbel", "random_chi2", "random_laplace", "random_log_normal", "random_normal", "random_poisson", "random_studentt", "random_uniform", "random_weibull", "randp", "randt", "randu", "randw", "range", "relu", "remap", "remove_key", "repeat", "replace", "reshape", "rgb_to_cielab", "rgb_to_hsv", "rgb_to_int", "rgb_to_oklab", "ridged", "ridged_noise", "rife", "rm_kay", "roll", "round", "rshp", "select", "shape", "shuffle", "sigm", "sign", "sin", "sine", "sine_ease", "singular_value_decomposition", "sinh", "smax", "smin", "smootherstep", "smoothstep", "snorm", "softmax", "softmin", "softplus", "sort", "split", "sqrt", "squeeze", "stack_clear", "stack_get", "stack_has", "stack_pop", "stack_push", "startswith", "std", "step", "substr", "substring", "sum", "svd", "swap", "tan", "tanh", "tensor", "text_image", "timestamp", "tmax", "tmin", "tnorm", "topk", "topk_ind", "topk_indices", "trim", "turbulence", "unique", "unsqueeze", "upper", "var", "voronoi", "voronoi_noise", "where", "worley"
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]);
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export const FUNCTION_META = {
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@@ -191,7 +191,6 @@ export const FUNCTION_META = {
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range: { minArgs: 3, maxArgs: 3, snippet: "range()", description: "range(start, stop, step) - creates a range of values between start (inclusive) and stop (exclusive) using step. Use linspace if you want value count." },
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relu: { minArgs: 1, maxArgs: 1, snippet: "relu()", description: "relu(x) - applies rectified linear unit function: max(0, x)" },
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remap: { minArgs: 5, maxArgs: 5, snippet: "remap()", description: "remap(v, i_min, i_max, o_min, o_max) - remaps values from input range to output range" },
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remove_kay: { minArgs: 2, maxArgs: 2, snippet: "remove_kay()", description: "remove_key(dict, key) - removes a dictionary entry and returns the updated dictionary" },
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remove_key: { minArgs: 2, maxArgs: 2, snippet: "remove_key()", description: "remove_key(dict, key) - removes a dictionary entry and returns the updated dictionary" },
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repeat: { minArgs: 2, maxArgs: 3, snippet: "repeat()", description: "repeat(x, count, [dims]) - repeats tensor elements; count may be scalar or per-dim list" },
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replace: { minArgs: 3, maxArgs: 3, snippet: "replace()", description: "replace(s, old, new) - replaces occurrences of old with new in s. Mostly for strings but can work with lists and tensors." },
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@@ -203,6 +202,7 @@ export const FUNCTION_META = {
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ridged: { minArgs: 2, maxArgs: 5, snippet: "ridged()", description: "ridged_noise(seed, scale, [octaves], [offset], [shape]) - generates ridged multi-fractal noise" },
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ridged_noise: { minArgs: 2, maxArgs: 5, snippet: "ridged_noise()", description: "ridged_noise(seed, scale, [octaves], [offset], [shape]) - generates ridged multi-fractal noise" },
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rife: { minArgs: 4, maxArgs: 5, snippet: "rife()", description: "rife(image1, image2, [tile_size], [iterations], [multi_scale]) - computes an intermediate frame between image1 and image2 using RIFE - tile_size: chuncks image to overlapping tile_size*tile_size parts to conserve memory Default is 1024x1024 when over 2MPx. When tiling size is between 0 - 1 it takes as a fraction of the resolution - iterations: how many times to run RIFE model. Default 12 - multi_scale: also use low resolution of base image for giant movements" },
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rm_kay: { minArgs: 2, maxArgs: 2, snippet: "rm_kay()", description: "remove_key(dict, key) - removes a dictionary entry and returns the updated dictionary" },
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roll: { minArgs: 2, maxArgs: 3, snippet: "roll()", description: "roll(x, shifts, [axis]) - rolls tensor x along axis" },
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round: { minArgs: 1, maxArgs: 1, snippet: "round()", description: "round(x) - rounds x to the nearest integer" },
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rshp: { minArgs: 2, maxArgs: 2, snippet: "rshp()", description: "reshape(x, shape) - reshapes tensor x to the specified shape" },
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