code: def set_printoptions(
      precision=None,
      threshold=None,
      edgeitems=None,
      linewidth=None,
      profile=None,
      sci_mode=None,
  ):
      r"""Set options for printing. Items shamelessly taken from NumPy
  
      Args:
          precision: Number of digits of precision for floating point output
              (default = 4).
          threshold: Total number of array elements which trigger summarization
              rather than full `repr` (default = 1000).
          edgeitems: Number of array items in summary at beginning and end of
              each dimension (default = 3).
          linewidth: The number of characters per line for the purpose of
              inserting line breaks (default = 80). Thresholded matrices will
              ignore this parameter.
          profile: Sane defaults for pretty printing. Can override with any of
              the above options. (any one of `default`, `short`, `full`)
          sci_mode: Enable (True) or disable (False) scientific notation. If
              None (default) is specified, the value is defined by
              `torch._tensor_str._Formatter`. This value is automatically chosen
              by the framework.
  
      Example::
  
          >>> # Limit the precision of elements
          >>> torch.set_printoptions(precision=2)
          >>> torch.tensor([1.12345])
          tensor([1.12])
          >>> # Limit the number of elements shown
          >>> torch.set_printoptions(threshold=5)
          >>> torch.arange(10)
          tensor([0, 1, 2, ..., 7, 8, 9])
          >>> # Restore defaults
          >>> torch.set_printoptions(profile='default')
          >>> torch.tensor([1.12345])
          tensor([1.1235])
          >>> torch.arange(10)
          tensor([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
  
      """
      if profile is not None:
          if profile == "default":
              PRINT_OPTS.precision = 4
              PRINT_OPTS.threshold = 1000
              PRINT_OPTS.edgeitems = 3
              PRINT_OPTS.linewidth = 80
          elif profile == "short":
              PRINT_OPTS.precision = 2
              PRINT_OPTS.threshold = 1000
              PRINT_OPTS.edgeitems = 2
              PRINT_OPTS.linewidth = 80
          elif profile == "full":
              PRINT_OPTS.precision = 4
              PRINT_OPTS.threshold = inf
              PRINT_OPTS.edgeitems = 3
              PRINT_OPTS.linewidth = 80
  
      if precision is not None:
          PRINT_OPTS.precision = precision
      if threshold is not None:
          PRINT_OPTS.threshold = threshold
      if edgeitems is not None:
          PRINT_OPTS.edgeitems = edgeitems
      if linewidth is not None:
          PRINT_OPTS.linewidth = linewidth
      PRINT_OPTS.sci_mode = sci_mode
  
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 1 for calling a global function with example usage: set_printoptions(precision, threshold, edgeitems, linewidth, profile, sci_mode) without return types