code: def jax_funcify_ARange(op, node, **kwargs):
      """Register a JAX implementation for `ARange`.
  
      `jax.numpy.arange` requires concrete values for its arguments. Here we check
      that the arguments are constant, and raise otherwise.
  
      TODO: Handle other situations in which values are concrete (shape of an array).
  
      """
      arange_args = node.inputs
      constant_args = []
      for arg in arange_args:
          if arg.owner and isinstance(arg.owner.op, Shape_i):
              constant_args.append(None)
          elif isinstance(arg, Constant):
              constant_args.append(arg.value)
          else:
              # TODO: This might be failing without need (e.g., if arg = shape(x)[-1] + 1)!
              raise NotImplementedError(ARANGE_CONCRETE_VALUE_ERROR)
  
      constant_start, constant_stop, constant_step = constant_args
  
      def arange(start, stop, step):
          start = start if constant_start is None else constant_start
          stop = stop if constant_stop is None else constant_stop
          step = step if constant_step is None else constant_step
          return jnp.arange(start, stop, step, dtype=op.dtype)
  
      return arange
  
file_path: pytensor/pytensor/link/jax/dispatch/tensor_basic.py
imports: import warnings
  import jax.numpy
  import numpy
  from pytensor.graph.basic import Constant
  from pytensor.link.jax.dispatch.basic import jax_funcify
  from pytensor.tensor import get_vector_length
  from pytensor.tensor.basic import Alloc, AllocEmpty, ARange, ExtractDiag, Eye, Join, MakeVector, ScalarFromTensor, Split, TensorFromScalar, Tri, get_underlying_scalar_constant_value
  from pytensor.tensor.exceptions import NotScalarConstantError
  from pytensor.tensor.shape import Shape_i
label_desc: Use image node_id 3 for calling a global function with example usage: jax_funcify_ARange(op, node) and returns: arange, jnp