code: def load_graphbolt():
      """Load Graphbolt C++ library"""
      vers = torch.__version__.split("+", maxsplit=1)[0]
  
      if sys.platform.startswith("linux"):
          basename = f"libgraphbolt_pytorch_{vers}.so"
      elif sys.platform.startswith("darwin"):
          basename = f"libgraphbolt_pytorch_{vers}.dylib"
      elif sys.platform.startswith("win"):
          basename = f"graphbolt_pytorch_{vers}.dll"
      else:
          raise NotImplementedError(
              "Unsupported system: %s" % sys.platform
          )
  
      dirname = os.path.dirname(libinfo.find_lib_path()[0])
      path = os.path.join(dirname, "graphbolt", basename)
      if not os.path.exists(path):
          raise FileNotFoundError(
              f"Cannot find DGL C++ graphbolt library at {path}"
          )
  
      try:
          torch.classes.load_library(path)
      except Exception:  # pylint: disable=W0703
          raise ImportError("Cannot load Graphbolt C++ library")
  
file_path: dgl/python/dgl/graphbolt/__init__.py
imports: import os
  import sys
  import torch
  from .._ffi import libinfo
  from .base import *
  from .minibatch import *
  from .dataloader import *
  from .dataset import *
  from .feature_fetcher import *
  from .feature_store import *
  from .impl import *
  from .itemset import *
  from .item_sampler import *
  from .minibatch_transformer import *
  from .negative_sampler import *
  from .sampled_subgraph import *
  from .subgraph_sampler import *
  from .internal import compact_csc_format, unique_and_compact, unique_and_compact_csc_formats
  from .utils import add_reverse_edges, exclude_seed_edges
label_desc: Use image node_id 1 for calling a global function with example usage: load_graphbolt() without return types