code: def local_useless_AdvancedSubtensor1(fgraph, node):
      """Remove `AdvancedSubtensor1` if it takes the full input.
  
      In the `AdvancedSubtensor1` case, the full input is taken when the indices
      are equivalent to ``arange(0, input.shape[0], 1)`` using either an explicit
      list/vector or the `ARange` `Op`.
  
      """
      # This optimization needs ShapeOpt and fgraph.shape_feature
      if not hasattr(fgraph, "shape_feature"):
          return
  
      shape_of = fgraph.shape_feature.shape_of
  
      # get length of the indexed tensor along the first axis
      try:
          length = get_underlying_scalar_constant_value(
              shape_of[node.inputs[0]][0], only_process_constants=True
          )
      except NotScalarConstantError:
          return False
  
      # get index (which must be a vector by definition)
      idx = node.inputs[1]
  
      # `idx` must be equivalent to [0,1,...,shape[0] - 1] to qualify for
      # this optimization
      if isinstance(idx, Constant):
          idx = idx.value
          if len(idx) != length:
              return False
          if np.any(idx != np.arange(length)):
              return False
      else:
          return False
  
      return [node.inputs[0]]
  
imports: import sys
  from collections.abc import Iterable
  import numpy
  import pytensor
  import pytensor.scalar.basic
  from pytensor import compile
  from pytensor.graph.basic import Constant, Variable
  from pytensor.graph.rewriting.basic import WalkingGraphRewriter, copy_stack_trace, in2out, node_rewriter
  from pytensor.raise_op import Assert
  from pytensor.tensor.basic import Alloc, Join, MakeVector, ScalarFromTensor, TensorFromScalar, alloc, as_tensor, cast, concatenate, extract_constant, get_underlying_scalar_constant_value, register_infer_shape, switch
  from pytensor.tensor.blockwise import Blockwise
  from pytensor.tensor.elemwise import Elemwise
  from pytensor.tensor.exceptions import NotScalarConstantError
  from pytensor.tensor.math import Dot, add, and_, ceil_intdiv, dot, eq, ge, gt, le, lt, maximum, minimum, or_
  from pytensor.tensor.math import all
  from pytensor.tensor.rewriting.basic import register_canonicalize, register_specialize, register_stabilize
  from pytensor.tensor.shape import Shape, SpecifyShape, Unbroadcast, shape_padleft, shape_tuple, specify_shape, unbroadcast
  from pytensor.tensor.sharedvar import TensorSharedVariable
  from pytensor.tensor.subtensor import AdvancedIncSubtensor, AdvancedIncSubtensor1, AdvancedSubtensor, AdvancedSubtensor1, IncSubtensor, Subtensor, advanced_inc_subtensor1, advanced_subtensor, advanced_subtensor1, as_index_constant, as_index_literal, get_canonical_form_slice, get_constant_idx, get_idx_list, get_slice_elements, inc_subtensor, indices_from_subtensor
  from pytensor.tensor.type import TensorType
  from pytensor.tensor.type_other import NoneTypeT, SliceConstant, SliceType
  from pytensor.tensor.variable import TensorConstant, TensorVariable
label_desc: Use image node_id 18 for calling a global function with example usage: local_useless_AdvancedSubtensor1(fgraph, node) and returns: list, False, False, False, False