code: def _vector_str(self, indent, summarize, formatter1, formatter2=None):
      # length includes spaces and comma between elements
      element_length = formatter1.width() + 2
      if formatter2 is not None:
          # width for imag_formatter + an extra j for complex
          element_length += formatter2.width() + 1
  
      elements_per_line = max(
          1,
          int(
              math.floor(
                  (PRINT_OPTS.linewidth - indent) / (element_length)
              )
          ),
      )
  
      def _val_formatter(
          val, formatter1=formatter1, formatter2=formatter2
      ):
          if formatter2 is not None:
              real_str = formatter1.format(val.real)
              imag_str = (formatter2.format(val.imag) + "j").lstrip()
              # handles negative numbers, +0.0, -0.0
              if imag_str[0] == "+" or imag_str[0] == "-":
                  return real_str + imag_str
              else:
                  return real_str + "+" + imag_str
          else:
              return formatter1.format(val)
  
      if summarize and not PRINT_OPTS.edgeitems:
          # Deal with edge case that negative zero is zero
          data = ["..."]
      elif summarize and self.size(0) > 2 * PRINT_OPTS.edgeitems:
          data = (
              [
                  _val_formatter(val)
                  for val in self[: PRINT_OPTS.edgeitems].tolist()
              ]
              + [" ..."]
              + [
                  _val_formatter(val)
                  for val in self[-PRINT_OPTS.edgeitems :].tolist()
              ]
          )
      else:
          data = [_val_formatter(val) for val in self.tolist()]
  
      data_lines = [
          data[i : i + elements_per_line]
          for i in range(0, len(data), elements_per_line)
      ]
      lines = [", ".join(line) for line in data_lines]
      return "[" + ("," + "\n" + " " * (indent + 1)).join(lines) + "]"
  
imports: import contextlib
  import dataclasses
  import math
  import textwrap
  from typing import Any, Dict, Optional
  import torch
  from torch import inf
label_desc: Use image node_id 6 for calling a global function with example usage: _vector_str(indent, summarize, formatter1, formatter2) and returns: unknown, formatter1, unknown, unknown