code: def _str_intern(self):
      prefix = PRINT_OPTS.prefix
      indent = len(prefix)
      suffixes = []
  
      if self.numel() == 0:
          # Explicitly print the shape if it is not (0,), to match NumPy behavior
          if self.dim() != 1:
              suffixes.append("size=" + str(tuple(self.shape)))
  
          tensor_str = "[]"
  
      else:
          suffixes.append("dtype=" + str(self.dtype))
  
          tensor_str = _tensor_str(self, indent)
  
      return _add_suffixes(
          prefix + tensor_str, suffixes, indent, force_newline=False
      )
  
file_path: caer/caer/coreten/_tensor_str.py
imports: import math
  import numpy
label_desc: Use image node_id 7 for calling a global function with example usage: _str_intern() and returns: _add_suffixes