code: def fwd_grad_concatenate_args(argnum, g, ans, axis_args, kwargs):
      result = []
      for i in range(1, len(axis_args)):
          if i == argnum:
              result.append(g)
          else:
              result.append(anp.zeros_like(axis_args[i]))
      return anp.concatenate_args(axis_args[0], *result)
  
file_path: autograd/autograd/numpy/numpy_jvps.py
imports: from .None import numpy_wrapper
  from .numpy_vjps import untake, balanced_eq, match_complex, replace_zero, dot_adjoint_0, dot_adjoint_1, tensordot_adjoint_0, tensordot_adjoint_1, nograd_functions
  from autograd.extend import defjvp, defjvp_argnum, def_linear, vspace, JVPNode, register_notrace
  from ..util import func
  from .numpy_boxes import ArrayBox
label_desc: Use image node_id 4 for calling a global function with example usage: fwd_grad_concatenate_args(argnum, g, ans, axis_args, kwargs) and returns: anp