code: def set_atom(self, block, block_items, existing_col, min_itemsize,
                   nan_rep, info, encoding=None, errors='strict'):
          
  
          self.values = list(block_items)
  
          # short-cut certain block types
          if block.is_categorical:
              return self.set_atom_categorical(block, items=block_items,
                                               info=info)
          elif block.is_datetimetz:
              return self.set_atom_datetime64tz(block, info=info)
          elif block.is_datetime:
              return self.set_atom_datetime64(block)
          elif block.is_timedelta:
              return self.set_atom_timedelta64(block)
          elif block.is_complex:
              return self.set_atom_complex(block)
  
          dtype = block.dtype.name
          inferred_type = lib.infer_dtype(block.values, skipna=False)
  
          if inferred_type == 'date':
              raise TypeError(
                  "[date] is not implemented as a table column")
          elif inferred_type == 'datetime':
              # after 8260
              # this only would be hit for a mutli-timezone dtype
              # which is an error
  
              raise TypeError(
                  "too many timezones in this block, create separate "
                  "data columns"
              )
          elif inferred_type == 'unicode':
              raise TypeError(
                  "[unicode] is not implemented as a table column")
  
          # this is basically a catchall; if say a datetime64 has nans then will
          # end up here ###
          elif inferred_type == 'string' or dtype == 'object':
              self.set_atom_string(
                  block, block_items,
                  existing_col,
                  min_itemsize,
                  nan_rep,
                  encoding,
                  errors)
  
          # set as a data block
          else:
              self.set_atom_data(block)
docs: create and setup my atom from the block b