code: def test_Shape_i_canonicalize():
      """Make sure the canonicalizations work together to produce the correct graphs for shapes in a single dimension.
  
      In other words, ``shape(x)[i]`` should result in a simple ``Shape_i(0)(x)``
      and nothing else.  The rewrites `local_shape_to_shape_i`,
      `local_subtensor_remove_broadcastable_index`, and
      `local_useless_dimshuffle_makevector` need to work together to accomplish
      this, and we confirm that here.
      """
      x = vector()
      y = shape(x)[0]
  
      y_fg = FunctionGraph(
          outputs=[y], copy_inputs=False, features=[ShapeFeature()]
      )
  
      y_rewritten_fg = rewrite_graph(
          y_fg,
          clone=False,
          include=[
              "canonicalize",
          ],
      )
  
      y_rewritten = y_rewritten_fg.outputs[0]
  
      assert isinstance(y_rewritten.owner.op, Shape_i)
      assert y_rewritten.owner.op.i == 0
      assert y_rewritten.owner.inputs[0] == x
  
imports: import copy
  import numpy
  import pytest
  import pytensor.tensor
  from pytensor import shared
  from pytensor.compile.function import function
  from pytensor.compile.mode import get_default_mode, get_mode
  from pytensor.compile.ops import deep_copy_op
  from pytensor.configdefaults import config
  from pytensor.graph.basic import Apply, Variable, equal_computations
  from pytensor.graph.fg import FunctionGraph
  from pytensor.graph.op import Op
  from pytensor.graph.rewriting.basic import check_stack_trace, node_rewriter, out2in
  from pytensor.graph.rewriting.utils import rewrite_graph
  from pytensor.graph.type import Type
  from pytensor.tensor.basic import alloc, as_tensor_variable
  from pytensor.tensor.elemwise import DimShuffle, Elemwise
  from pytensor.tensor.math import add, exp, maximum
  from pytensor.tensor.rewriting.basic import register_specialize
  from pytensor.tensor.rewriting.shape import ShapeFeature, local_reshape_to_dimshuffle, local_useless_reshape
  from pytensor.tensor.shape import Reshape, Shape_i, SpecifyShape, reshape, shape, specify_shape
  from pytensor.tensor.subtensor import set_subtensor
  from pytensor.tensor.type import fmatrix, iscalar, lscalar, matrix, scalar, tensor, tensor3, tensor4, vector
  from tests import unittest_tools
label_desc: Use image node_id 6 for calling a global function with example usage: test_Shape_i_canonicalize() without return types