code: def jax_funcify_Join(op, **kwargs):
      def join(axis, *tensors):
          # tensors could also be tuples, and in this case they don't have a ndim
          tensors = [jnp.asarray(tensor) for tensor in tensors]
          view = op.view
          if (view != -1) and all(
              tensor.shape[axis] == 0
              for tensor in tensors[0:view] + tensors[view + 1 :]
          ):
              return tensors[view]
  
          else:
              return jnp.concatenate(tensors, axis=axis)
  
      return join
  
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 4 for calling a global function with example usage: jax_funcify_Join(op) and returns: join, tensors, jnp