text: from __future__ import absolute_import, division, print_function
  
  try:
      from ..utils import ignoring
      from .core import (Array, block, concatenate, stack, from_array, store,
                         map_blocks, atop, to_hdf5, to_npy_stack, from_npy_stack,
                         from_delayed, asarray, asanyarray, PerformanceWarning,
                         broadcast_arrays, broadcast_to, from_zarr, to_zarr)
      from .routines import (take, choose, argwhere, where, coarsen, insert,
                             ravel, roll, unique, squeeze, ptp, diff, ediff1d,
                             gradient, bincount, digitize, histogram, cov, array,
                             dstack, vstack, hstack, compress, extract, round,
                             count_nonzero, flatnonzero, nonzero, unravel_index,
                             around, isin, isnull, notnull, isclose, allclose,
                             corrcoef, swapaxes, tensordot, transpose, dot, vdot,
                             matmul, outer, apply_along_axis, apply_over_axes,
                             result_type, atleast_1d, atleast_2d, atleast_3d,
                             piecewise, flip, flipud, fliplr, einsum, average)
      from .reshape import reshape
      from .ufunc import (add, subtract, multiply, divide, logaddexp, logaddexp2,
              true_divide, floor_divide, negative, power, remainder, mod, conj, exp,
              exp2, log, log2, log10, log1p, expm1, sqrt, square, cbrt, reciprocal,
              sin, cos, tan, arcsin, arccos, arctan, arctan2, hypot, sinh, cosh,
              tanh, arcsinh, arccosh, arctanh, deg2rad, rad2deg, greater,
              greater_equal, less, less_equal, not_equal, equal, maximum,
              bitwise_and, bitwise_or, bitwise_xor, bitwise_not, invert, minimum,
              logical_and, logical_or, logical_xor, logical_not, fmax, fmin,
              isreal, iscomplex, isfinite, isinf, isneginf, isposinf, isnan, signbit,
              copysign, nextafter, spacing, ldexp, fmod, floor, ceil, trunc, degrees,
              radians, rint, fix, angle, real, imag, clip, fabs, sign, absolute,
              i0, sinc, nan_to_num, frexp, modf, divide, frompyfunc)
      try:
          from .ufunc import float_power
      except ImportError:
          # Absent for NumPy versions prior to 1.12.
          pass
      from .reductions import (sum, prod, mean, std, var, any, all, min, max,
                               moment,
                               argmin, argmax,
                               nansum, nanmean, nanstd, nanvar, nanmin,
                               nanmax, nanargmin, nanargmax,
                               cumsum, cumprod,
                               topk, argtopk)
      from .percentile import percentile
      with ignoring(ImportError):
          from .reductions import nanprod, nancumprod, nancumsum
      with ignoring(ImportError):
          from . import ma
      from . import random, linalg, overlap, fft
      from .overlap import map_overlap
      from .wrap import ones, zeros, empty, full
      from .creation import ones_like, zeros_like, empty_like, full_like
      from .rechunk import rechunk
      from ..base import compute
      from .optimization import optimize
      from .creation import (arange, linspace, meshgrid, indices, diag, eye,
                             triu, tril, fromfunction, tile, repeat, pad)
      from .gufunc import apply_gufunc, gufunc, as_gufunc
      from .utils import assert_eq
  
  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"
             "  pip install dask[array] --upgrade  # or pip install")
      raise ImportError(str(e) + '\n\n' + msg)
  