code: def _block_concatenate(arrays, list_ndim, result_ndim):
      result = _block(arrays, list_ndim, result_ndim)
      if list_ndim == 0:
          # Catch an edge case where _block returns a view because
          # `arrays` is a single numpy array and not a list of numpy arrays.
          # This might copy scalars or lists twice, but this isn't a likely
          # usecase for those interested in performance
          result = result.copy()
      return result
  
imports: from __future__ import division, absolute_import, print_function
  import functools
  import operator
  import types
  import warnings
  from .None import numeric
  from .None import overrides
  from .numeric import array, asanyarray, newaxis
  from .multiarray import normalize_axis_index
label_desc: Use image node_id 25 for calling a global function with example usage: _block_concatenate(arrays, list_ndim, result_ndim) and returns: result