try: from ..base import compute from . import backends, fft, lib, linalg, ma, overlap, random from .blockwise import atop, blockwise from .chunk_types import register_chunk_type from .core import ( Array, PerformanceWarning, asanyarray, asarray, block, broadcast_arrays, broadcast_to, concatenate, from_array, from_delayed, from_npy_stack, from_zarr, map_blocks, stack, store, to_hdf5, to_npy_stack, to_zarr, unify_chunks, ) from .creation import ( arange, diag, diagonal, empty_like, eye, fromfunction, full_like, indices, linspace, meshgrid, ones_like, pad, repeat, tile, tri, zeros_like, ) from .gufunc import apply_gufunc, as_gufunc, gufunc from .numpy_compat import moveaxis, rollaxis from .optimization import optimize from .overlap import map_overlap from .percentile import percentile from .rechunk import rechunk from .reductions import ( all, any, argmax, argmin, argtopk, cumprod, cumsum, max, mean, median, min, moment, nanargmax, nanargmin, nancumprod, nancumsum, nanmax, nanmean, nanmedian, nanmin, nanprod, nanstd, nansum, nanvar, prod, reduction, std, sum, topk, trace, var, ) from .reshape import reshape from .routines import ( allclose, append, apply_along_axis, apply_over_axes, argwhere, around, array, atleast_1d, atleast_2d, atleast_3d, average, bincount, choose, coarsen, compress, corrcoef, count_nonzero, cov, delete, diff, digitize, dot, dstack, ediff1d, einsum, expand_dims, extract, flatnonzero, flip, fliplr, flipud, gradient, histogram, histogram2d, histogramdd, hstack, insert, isclose, isin, isnull, matmul, ndim, nonzero, notnull, outer, piecewise, ptp, ravel, ravel_multi_index, result_type, roll, rot90, round, searchsorted, select, shape, squeeze, swapaxes, take, tensordot, transpose, tril, tril_indices, tril_indices_from, triu, triu_indices, triu_indices_from, union1d, unique, unravel_index, vdot, vstack, where, ) from .tiledb_io import from_tiledb, to_tiledb from .ufunc import ( absolute, add, angle, arccos, arccosh, arcsin, arcsinh, arctan, arctan2, arctanh, bitwise_and, bitwise_not, bitwise_or, bitwise_xor, cbrt, ceil, clip, conj, copysign, cos, cosh, deg2rad, degrees, divide, divmod, equal, exp, exp2, expm1, fabs, fix, float_power, floor, floor_divide, fmax, fmin, fmod, frexp, frompyfunc, greater, greater_equal, hypot, i0, imag, invert, iscomplex, isfinite, isinf, isnan, isneginf, isposinf, isreal, ldexp, less, less_equal, log, log1p, log2, log10, logaddexp, logaddexp2, logical_and, logical_not, logical_or, logical_xor, maximum, minimum, mod, modf, multiply, nan_to_num, negative, nextafter, not_equal, power, rad2deg, radians, real, reciprocal, remainder, rint, sign, signbit, sin, sinc, sinh, spacing, sqrt, square, subtract, tan, tanh, true_divide, trunc, ) from .utils import assert_eq from .wrap import empty, full, ones, zeros except ImportError as e: msg = ( "Dask array requirements are not installed.\n\n" "Please either conda or pip install as follows:\n\n" " conda install dask # either conda install\n" ' python -m pip install "dask[array]" --upgrade # or python -m pip install' ) raise ImportError(str(e) + "\n\n" + msg) from e