class_docstr: Basic class representing data in Compressed Sparse Column (CSC) format.
  
  Examples
  --------
  >>> indptr = torch.tensor([0, 1, 3])
  >>> indices = torch.tensor([1, 4, 2])
  >>> csc_foramt_base = CSCFormatBase(indptr=indptr, indices=indices)
  >>> print(csc_format_base.indptr)
  ... torch.tensor([0, 1, 3])
  >>> print(csc_foramt_base)
  ... torch.tensor([1, 4, 2])
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code: def __repr__(self) -> str:
      return _csc_format_base_str(self)
  
file_path: dgl/python/dgl/graphbolt/base.py
imports: from dataclasses import dataclass
  import torch
  from torch.utils.data import functional_datapipe
  from torchdata.datapipes.iter import IterDataPipe
  from ..utils import recursive_apply
label_desc: Use image node_id 2 for calling the CSCFormatBase obj's underlying member method code with example usage: obj.__repr__() and returns: _csc_format_base_str