code: def zeros_aligned(shape, dtype, order="C", align=128):
      """Get array aligned at `align` byte boundary in memory.
  
      Parameters
      ----------
      shape : int or (int, int)
          Shape of array.
      dtype : data-type
          Data type of array.
      order : {'C', 'F'}, optional
          Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.
      align : int, optional
          Boundary for alignment in bytes.
  
      Returns
      -------
      numpy.ndarray
          Aligned array.
  
      """
      nbytes = np.prod(shape, dtype=np.int64) * np.dtype(dtype).itemsize
      buffer = np.zeros(
          nbytes + align, dtype=np.uint8
      )  # problematic on win64 ("maximum allowed dimension exceeded")
      start_index = -buffer.ctypes.data % align
      return (
          buffer[start_index : start_index + nbytes]
          .view(dtype)
          .reshape(shape, order=order)
      )
  
imports: from __future__ import with_statement
  import logging
  import math
  from gensim import utils
  import numpy
  import scipy.sparse
  from scipy.stats import entropy
  from scipy.linalg import get_blas_funcs, triu
  from scipy.linalg.lapack import get_lapack_funcs
  from scipy.special import psi
label_desc: Use image node_id 5 for calling a global function with example usage: zeros_aligned(shape, dtype, order, align) and returns: buffer