code: def jax_funcify_Unique(op, **kwargs):
      axis = op.axis
  
      if axis is not None:
          raise NotImplementedError(
              "jax.numpy.unique is not implemented for the axis argument"
          )
  
      return_index = op.return_index
      return_inverse = op.return_inverse
      return_counts = op.return_counts
  
      def unique(
          x,
          return_index=return_index,
          return_inverse=return_inverse,
          return_counts=return_counts,
          axis=axis,
      ):
          ret = jnp.lax_numpy._unique1d(
              x, return_index, return_inverse, return_counts
          )
          if len(ret) == 1:
              return ret[0]
          else:
              return ret
  
      return unique
  
file_path: pytensor/pytensor/link/jax/dispatch/extra_ops.py
imports: import warnings
  import jax.numpy
  from pytensor.link.jax.dispatch.basic import jax_funcify
  from pytensor.tensor.extra_ops import Bartlett, CumOp, FillDiagonal, FillDiagonalOffset, RavelMultiIndex, Repeat, Unique, UnravelIndex
label_desc: Use image node_id 4 for calling a global function with example usage: jax_funcify_Unique(op) and returns: unique, ret, ret