code: def get_scalar_constant_value(v):
      """return the constant scalar(0-D) value underlying variable `v`
  
      If v is the output of dimshuffles, fills, allocs, rebroadcasts, cast
      this function digs through them.
  
      If theano.sparse is also there, we will look over CSM op.
  
      If `v` is not some view of constant data, then raise a
      tensor.basic.NotScalarConstantError.
      """
      # Is it necessary to test for presence of theano.sparse at runtime?
      if "sparse" in globals() and isinstance(
          v.type, sparse.SparseType
      ):
          if v.owner is not None and isinstance(v.owner.op, sparse.CSM):
              data = v.owner.inputs[0]
              return tensor.get_scalar_constant_value(data)
      return tensor.get_scalar_constant_value(v)
  
imports: from __future__ import absolute_import, print_function, division
  import logging
  import os
  import sys
  import warnings
  from theano.version import version
  from six import PY3
  from theano.configdefaults import config
  from theano.configparser import change_flags
  from theano.gof import CLinker, OpWiseCLinker, DualLinker, Linker, LocalLinker, PerformLinker, Container, InconsistencyError, FunctionGraph, Apply, Variable, Constant, Op, OpenMPOp, opt, toolbox, Type, Generic, generic, object2, utils
  from theano.compile import SymbolicInput, In, SymbolicOutput, Out, Mode, predefined_modes, predefined_linkers, predefined_optimizers, FunctionMaker, function, function_dump, OpFromGraph, ProfileStats, Param, shared, as_op
  from theano.misc.safe_asarray import _asarray
  from theano.printing import pprint, pp
  from theano.scan_module import scan, map, reduce, foldl, foldr, clone, scan_checkpoints
  from theano.updates import OrderedUpdates
  from theano.gradient import Rop, Lop, grad, subgraph_grad
  import theano.tests
  import numpy
label_desc: Use image node_id 4 for calling a global function with example usage: get_scalar_constant_value(v) and returns: tensor, tensor