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69 lines
3.7 KiB
69 lines
3.7 KiB
from __future__ import absolute_import, division, print_function
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try:
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from ..utils import ignoring
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from .blockwise import blockwise, atop
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from .core import (Array, block, concatenate, stack, from_array, store,
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map_blocks, to_hdf5, to_npy_stack, from_npy_stack,
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from_delayed, asarray, asanyarray, PerformanceWarning,
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broadcast_arrays, broadcast_to, from_zarr, to_zarr)
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from .routines import (take, choose, argwhere, where, coarsen, insert,
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ravel, roll, unique, squeeze, ptp, diff, ediff1d,
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gradient, bincount, digitize, histogram, cov, array,
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dstack, vstack, hstack, compress, extract, round,
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count_nonzero, flatnonzero, nonzero, unravel_index,
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around, isin, isnull, notnull, isclose, allclose,
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corrcoef, swapaxes, tensordot, transpose, dot, vdot,
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matmul, outer, apply_along_axis, apply_over_axes,
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result_type, atleast_1d, atleast_2d, atleast_3d,
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piecewise, flip, flipud, fliplr, einsum, average)
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from .reshape import reshape
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from .ufunc import (add, subtract, multiply, divide, logaddexp, logaddexp2,
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true_divide, floor_divide, negative, power, remainder, mod, conj, exp,
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exp2, log, log2, log10, log1p, expm1, sqrt, square, cbrt, reciprocal,
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sin, cos, tan, arcsin, arccos, arctan, arctan2, hypot, sinh, cosh,
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tanh, arcsinh, arccosh, arctanh, deg2rad, rad2deg, greater,
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greater_equal, less, less_equal, not_equal, equal, maximum,
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bitwise_and, bitwise_or, bitwise_xor, bitwise_not, invert, minimum,
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logical_and, logical_or, logical_xor, logical_not, fmax, fmin,
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isreal, iscomplex, isfinite, isinf, isneginf, isposinf, isnan, signbit,
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copysign, nextafter, spacing, ldexp, fmod, floor, ceil, trunc, degrees,
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radians, rint, fix, angle, real, imag, clip, fabs, sign, absolute,
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i0, sinc, nan_to_num, frexp, modf, divide, frompyfunc)
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try:
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from .ufunc import float_power
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except ImportError:
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# Absent for NumPy versions prior to 1.12.
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pass
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from .reductions import (sum, prod, mean, std, var, any, all, min, max,
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moment,
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argmin, argmax,
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nansum, nanmean, nanstd, nanvar, nanmin,
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nanmax, nanargmin, nanargmax,
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cumsum, cumprod,
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topk, argtopk)
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from .percentile import percentile
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with ignoring(ImportError):
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from .reductions import nanprod, nancumprod, nancumsum
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with ignoring(ImportError):
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from . import ma
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from . import random, linalg, overlap, fft, backends
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from .overlap import map_overlap
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from .wrap import ones, zeros, empty, full
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from .creation import ones_like, zeros_like, empty_like, full_like
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from .rechunk import rechunk
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from ..base import compute
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from .optimization import optimize
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from .creation import (arange, linspace, meshgrid, indices, diag, eye,
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triu, tril, fromfunction, tile, repeat, pad,
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diagonal)
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from .gufunc import apply_gufunc, gufunc, as_gufunc
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from .utils import assert_eq
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except ImportError as e:
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msg = ("Dask array requirements are not installed.\n\n"
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"Please either conda or pip install as follows:\n\n"
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" conda install dask # either conda install\n"
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" pip install dask[array] --upgrade # or pip install")
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raise ImportError(str(e) + '\n\n' + msg)
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