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Remove import star
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‎LICENSE

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Copyright (c) 2015, ArrayFire
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Copyright (c) 2019, ArrayFire
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All rights reserved.
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Redistribution and use in source and binary forms, with or without

‎__af_version__.py

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#!/usr/bin/python
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#!/usr/bin/env python
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#######################################################
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# Copyright (c) 2015, ArrayFire
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# Copyright (c) 2019, ArrayFire
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# All rights reserved.
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#
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# This file is distributed under 3-clause BSD license.

‎arrayfire/__init__.py

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#######################################################
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# Copyright (c) 2015, ArrayFire
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# Copyright (c) 2019, ArrayFire
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# All rights reserved.
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#
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# This file is distributed under 3-clause BSD license.
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"""
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from .algorithm import (
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accum, all_true, allTrueByKey, any_true, anyTrueByKey, count, countByKey, diff1, diff2, imax, imin, max, maxByKey, min, minByKey, product, productByKey, scan, scan_by_key, set_intersect,
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set_union, set_unique, sort, sort_by_key, sort_index, sum, sumByKey, where)
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from .arith import (
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abs, acos, acosh, arg, asin, asinh, atan, atan2, atanh, cast, cbrt, ceil, clamp, conjg, cos, cosh, cplx, erf, erfc, exp,
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expm1, factorial, floor, hypot, imag, isinf, isnan, iszero, lgamma, log, log1p, log2, log10, maxof, minof,
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mod, pow,
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pow2, real, rem, root, round, rsqrt, sigmoid, sign, sin, sinh, sqrt, tan, tanh, tgamma, trunc)
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from .array import (
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Array, constant_array, display, get_display_dims_limit, read_array, save_array,
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set_display_dims_limit, transpose, transpose_inplace)
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from .base import BaseArray
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from .bcast import broadcast
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from .blas import dot, matmul, matmulNT, matmulTN, matmulTT, gemm
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from .cuda import get_native_id, get_stream, set_native_id
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from .data import (
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constant, diag, flat, flip, identity, iota, join, lookup, lower, moddims, pad, range, reorder, replace, select, shift,
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tile, upper)
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from .library import (
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BACKEND, BINARYOP, CANNY_THRESHOLD, COLORMAP, CONNECTIVITY, CONV_DOMAIN, CONV_GRADIENT, CONV_MODE, CSPACE, DIFFUSION, ERR, FLUX,
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HOMOGRAPHY, IMAGE_FORMAT, INTERP, ITERATIVE_DECONV, INVERSE_DECONV, MARKER, MATCH, MATPROP, MOMENT, NORM, PAD, RANDOM_ENGINE, STORAGE, TOPK, VARIANCE, YCC_STD, Dtype, Source, AF_VER_MAJOR, FORGE_VER_MAJOR)
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from .device import (
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alloc_device, alloc_host, alloc_pinned, device_gc, device_info, device_mem_info, eval, free_device, free_host,
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free_pinned, get_device, get_device_count, get_device_ptr, get_manual_eval_flag, info,
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info_str, init, is_dbl_supported, is_half_supported, is_locked_array, lock_array, lock_device_ptr, print_mem_info, set_device,
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set_manual_eval_flag, sync, unlock_array, unlock_device_ptr)
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from .graphics import Window
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from .image import (
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anisotropic_diffusion, bilateral, canny, color_space, confidenceCC, dilate, dilate3, erode, erode3, gaussian_kernel, gradient,
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gray2rgb, hist_equal, histogram, hsv2rgb, is_image_io_available, iterativeDeconv, inverseDeconv, load_image, load_image_native, maxfilt,
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mean_shift, minfilt, moments, regions, resize, rgb2gray, rgb2hsv, rgb2ycbcr, rotate, sat, save_image,
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save_image_native, scale, skew, sobel_derivatives, sobel_filter, transform, translate, unwrap, wrap, ycbcr2rgb)
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from .index import Index, ParallelRange, Seq
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from .interop import AF_NUMBA_FOUND, AF_NUMPY_FOUND, AF_PYCUDA_FOUND, AF_PYOPENCL_FOUND, to_array
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from .lapack import (
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cholesky, cholesky_inplace, det, inverse, is_lapack_available, lu, lu_inplace, norm, pinverse, qr, qr_inplace, rank, solve,
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solve_lu, svd, svd_inplace)
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from .library import (
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get_active_backend, get_available_backends, get_backend, get_backend_count, get_backend_id, get_device_id,
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get_size_of, safe_call, set_backend)
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from .ml import convolve2GradientNN
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from .random import (
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Random_Engine, get_default_random_engine, get_seed, randn, randu, set_default_random_engine_type,
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set_seed)
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from .signal import (
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approx1, approx1_uniform, approx2, approx2_uniform, convolve, convolve1, convolve2, convolve2NN, convolve2_separable, convolve3, dft, fft, fft2, fft2_c2r,
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fft2_inplace, fft2_r2c, fft3, fft3_c2r, fft3_inplace, fft3_r2c, fft_c2r, fft_convolve, fft_convolve1,
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fft_convolve2, fft_convolve3, fft_inplace, fft_r2c, fir, idft, ifft, ifft2, ifft2_inplace, ifft3, ifft3_inplace,
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ifft_inplace, iir, medfilt, medfilt1, medfilt2, set_fft_plan_cache_size)
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from .sparse import (
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convert_sparse, convert_sparse_to_dense, create_sparse, create_sparse_from_dense, create_sparse_from_host,
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sparse_get_col_idx, sparse_get_info, sparse_get_nnz, sparse_get_row_idx, sparse_get_storage, sparse_get_values)
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from .statistics import corrcoef, cov, mean, meanvar, median, stdev, topk, var
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from .timer import timeit
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from .util import dim4, dim4_to_tuple, implicit_dtype, number_dtype, to_str, get_reversion, get_version, to_dtype, to_typecode, to_c_type
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try:
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# FIXME: pycuda imported but unused
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import pycuda.autoinit
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except ImportError:
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pass
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from .library import *
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from .array import *
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from .data import *
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from .util import *
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from .algorithm import *
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from .device import *
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from .blas import *
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from .arith import *
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from .statistics import *
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from .lapack import *
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from .signal import *
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from .image import *
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from .features import *
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from .vision import *
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from .graphics import *
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from .bcast import *
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from .index import *
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from .interop import *
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from .timer import *
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from .random import *
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from .sparse import *
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from .ml import *
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# do not export default modules as part of arrayfire
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del ct
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del inspect
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del numbers
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del os
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if (AF_NUMPY_FOUND):
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del np
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__all__ = [
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# algorithm
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"accum", "all_true", "allTrueByKey", "any_true", "anyTrueByKey", "count", "countByKey",
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"diff1", "diff2", "imax", "imin", "max", "maxByKey", "min", "minByKey", "product",
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"productByKey", "scan", "scan_by_key", "set_intersect", "set_union", "set_unique",
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"sort", "sort_by_key", "sort_index", "sum", "sumByKey", "where",
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# arith
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"abs", "acos", "acosh", "arg", "asin", "asinh", "atan", "atan2", "atanh",
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"cast", "cbrt", "ceil", "clamp", "conjg", "cos", "cosh", "cplx", "erf",
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"erfc", "exp", "expm1", "factorial", "floor", "hypot", "imag", "isinf",
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"isnan", "iszero", "lgamma", "log", "log1p", "log2", "log10", "maxof",
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"minof", "mod", "pow", "pow2", "real", "rem", "root", "round", "rsqrt",
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"sigmoid", "sign", "sin", "sinh", "sqrt", "tan", "tanh", "tgamma", "trunc",
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# array
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"Array", "constant_array", "display", "get_display_dims_limit", "read_array",
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"save_array", "set_display_dims_limit", "transpose", "transpose_inplace",
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# base
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"BaseArray",
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# bcast
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"broadcast",
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# blas
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"dot", "matmul", "matmulNT", "matmulTN", "matmulTT", "gemm",
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#cuda
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"get_native_id", "get_stream", "set_native_id",
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# data
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"constant", "diag", "flat", "flip", "identity", "iota", "join", "lookup",
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"lower", "moddims", "pad", "range", "reorder", "replace", "select",
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"shift", "tile", "upper",
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# library
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"BACKEND", "BINARYOP", "CANNY_THRESHOLD", "COLORMAP", "CONNECTIVITY", "CONV_DOMAIN",
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"CONV_GRADIENT", "CONV_MODE", "CSPACE", "DIFFUSION", "ERR", "FLUX", "HOMOGRAPHY",
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"IMAGE_FORMAT", "INTERP", "ITERATIVE_DECONV", "INVERSE_DECONV", "MARKER", "MATCH",
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"MATPROP", "MOMENT", "NORM", "PAD", "RANDOM_ENGINE", "STORAGE", "TOPK", "VARIANCE",
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"YCC_STD", "Dtype", "Source", "AF_VER_MAJOR", "FORGE_VER_MAJOR",
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# device
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"alloc_device", "alloc_host", "alloc_pinned", "device_gc", "device_info", "device_mem_info",
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"eval", "free_device", "free_host", "free_pinned", "get_device", "get_device_count",
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"get_device_ptr", "get_manual_eval_flag", "info", "info_str", "init", "is_dbl_supported",
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"is_half_supported", "is_locked_array", "lock_array", "lock_device_ptr", "print_mem_info",
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"set_device", "set_manual_eval_flag", "sync", "unlock_array", "unlock_device_ptr",
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# graphics
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"Window",
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# image
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"anisotropic_diffusion", "bilateral", "canny", "color_space", "confidenceCC", "dilate", "dilate3",
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"erode", "erode3", "gaussian_kernel", "gradient", "gray2rgb", "hist_equal", "histogram", "hsv2rgb",
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"is_image_io_available", "iterativeDeconv", "inverseDeconv", "load_image", "load_image_native",
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"maxfilt", "mean_shift", "minfilt", "moments", "regions", "resize", "rgb2gray", "rgb2hsv", "rgb2ycbcr",
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"rotate", "sat", "save_image", "save_image_native", "scale", "skew", "sobel_derivatives", "sobel_filter",
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"transform", "translate", "unwrap", "wrap", "ycbcr2rgb",
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# index
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"Index", "ParallelRange", "Seq",
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# interop
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"AF_NUMBA_FOUND", "AF_NUMPY_FOUND", "AF_PYCUDA_FOUND", "AF_PYOPENCL_FOUND", "to_array",
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# lapack
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"cholesky", "cholesky_inplace", "det", "inverse", "is_lapack_available", "lu", "lu_inplace",
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"norm", "pinverse", "qr", "qr_inplace", "rank", "solve", "solve_lu", "svd", "svd_inplace",
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# library
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"get_active_backend", "get_available_backends", "get_backend", "get_backend_count",
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"get_backend_id", "get_device_id", "get_size_of", "safe_call", "set_backend",
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# ml
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"convolve2GradientNN",
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# random
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"Random_Engine", "get_default_random_engine", "get_seed", "randn", "randu",
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"set_default_random_engine_type", "set_seed",
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# signal
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"approx1", "approx1_uniform", "approx2", "approx2_uniform", "convolve", "convolve1",
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"convolve2", "convolve2NN", "convolve2_separable", "convolve3", "dft", "fft",
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"fft2", "fft2_c2r", "fft2_inplace", "fft2_r2c", "fft3", "fft3_c2r", "fft3_inplace",
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"fft3_r2c", "fft_c2r", "fft_convolve", "fft_convolve1", "fft_convolve2", "fft_convolve3",
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"fft_inplace", "fft_r2c", "fir", "idft", "ifft", "ifft2", "ifft2_inplace", "ifft3",
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"ifft3_inplace", "ifft_inplace", "iir", "medfilt", "medfilt1", "medfilt2",
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"set_fft_plan_cache_size",
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# sparse
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"convert_sparse", "convert_sparse_to_dense", "create_sparse", "create_sparse_from_dense",
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"create_sparse_from_host", "sparse_get_col_idx", "sparse_get_info", "sparse_get_nnz",
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"sparse_get_row_idx", "sparse_get_storage", "sparse_get_values",
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# statistics
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"corrcoef", "cov", "mean", "meanvar", "median", "stdev", "topk", "var",
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# timer
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"timeit",
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# util
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"dim4", "dim4_to_tuple", "implicit_dtype", "number_dtype", "to_str", "get_reversion",
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"get_version", "to_dtype", "to_typecode", "to_c_type"
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]

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