code: def is_list_like(obj, allow_sets=True):
      
  
      return (isinstance(obj, abc.Iterable) and
              # we do not count strings/unicode/bytes as list-like
              not isinstance(obj, (str, bytes)) and
  
              # exclude zero-dimensional numpy arrays, effectively scalars
              not (isinstance(obj, np.ndarray) and obj.ndim == 0) and
  
              # exclude sets if allow_sets is False
              not (allow_sets is False and isinstance(obj, abc.Set)))
docs: Check if the object is list-like.
  
      Objects that are considered list-like are for example Python
      lists, tuples, sets, NumPy arrays, and Pandas Series.
  
      Strings and datetime objects, however, are not considered list-like.
  
      Parameters
      ----------
      obj : The object to check
      allow_sets : boolean, default True
          If this parameter is False, sets will not be considered list-like
  
          .. versionadded:: 0.24.0
  
      Returns
      -------
      is_list_like : bool
          Whether `obj` has list-like properties.
  
      Examples
      --------
      >>> is_list_like([1, 2, 3])
      True
      >>> is_list_like({1, 2, 3})
      True
      >>> is_list_like(datetime(2017, 1, 1))
      False
      >>> is_list_like("foo")
      False
      >>> is_list_like(1)
      False
      >>> is_list_like(np.array([2]))
      True
      >>> is_list_like(np.array(2)))
      False