code: def concatenate(self, other, axis=0):
      if other.ndim != 1:
          raise ValueError(
              "all the input arrays must have same number of dimensions"
          )
  
      try:
          other = naked(other)
      except TypeError:
          return NotImplemented
  
      if issparse(other):
          xps = get_sparse_module(self.spmatrix)
          if axis != 0:
              raise ValueError("axis can only be 0")
          other = (
              other.reshape(1, other.shape[0])
              if other.shape[0] != 1
              else other
          )
          x = xps.hstack(
              (self.spmatrix.reshape(1, self.shape[0]), other)
          )
      else:
          xp = get_array_module(self.spmatrix)
          x = xp.concatenate(
              (self.spmatrix.toarray().reshape(self.shape), other),
              axis=axis,
          )
  
      if issparse(x):
          return SparseNDArray(x, shape=(x.shape[1],))
      return get_array_module(x).asarray(x)
  
file_path: mars/mars/lib/sparse/vector.py
imports: from .array import SparseArray, SparseNDArray
  from .core import get_array_module, get_sparse_module, naked, issparse, np, is_cupy
label_desc: Use image node_id 8 for calling the SparseVector obj's underlying member method code with example usage: obj.concatenate(other, axis) and returns: get_array_module, SparseNDArray, NotImplemented