code: def _sparse_min_max(X, axis):
      return (
          _sparse_min_or_max(X, axis, "min"),
          _sparse_min_or_max(X, axis, "max"),
      )
  
file_path: cuml/python/cuml/_thirdparty/sklearn/utils/sparsefuncs.py
imports: from ....thirdparty_adapters.sparsefuncs_fast import csr_mean_variance_axis0, csc_mean_variance_axis0
  from cuml.internals.safe_imports import cpu_only_import
  from cuml.internals.safe_imports import gpu_only_import
  from cuml.internals.safe_imports import gpu_only_import_from
  from cuml.internals.safe_imports import cpu_only_import_from
label_desc: Use image node_id 13 for calling a global function with example usage: _sparse_min_max(X, axis) and returns: _sparse_min_or_max,  _sparse_min_or_max