docstr: Index along the minor axis where idx is an array of ints.
          
code: def _minor_index_fancy(self, idx):
      """Index along the minor axis where idx is an array of ints."""
      M, _ = self._swap(*self.shape)
      N = idx.size
      new_shape = self._swap(M, N)
      if self.nnz == 0 or N == 0:
          return self.__class__(new_shape, dtype=self.dtype)
  
      if idx.size * M < self.nnz:
          # TODO (asi1024): Implement faster algorithm.
          pass
  
      return self._tocsx()._major_index_fancy(idx)._tocsx()
  
imports: import string
  import warnings
  import numpy
  import cupy
  import cupyx
  from cupy import _core
  from cupy._core import _scalar
  from cupy._creation import basic
  from cupyx.scipy.sparse import _base
  from cupyx.scipy.sparse import _coo
  from cupyx.scipy.sparse import _data
  from cupyx.scipy.sparse import _sputils
  from cupyx.scipy.sparse import _util
  from cupyx.scipy.sparse import _index
label_desc: Use image node_id 16 for calling the _compressed_sparse_matrix obj's underlying member method code with example usage: obj._minor_index_fancy(idx) and returns: self, self