code: def get_mocap_path(opt):
      if (
          os.path.basename(opt.scene_dir) == "bike"
          and opt.motion_name == "jumpandroll"
      ):
          return (
              "./data/SFU/0012/0012_JumpAndRoll001_poses.npz",
              100,
              400,
              30,
          )
      else:
          raise ValueError("Define new elif branch")
  
file_path: ml-neuman/render_reposing.py
imports: import os
  import argparse
  import copy
  import imageio
  import torch
  import numpy
  from geometry import transformations
  from models import human_nerf
  from utils import render_utils, utils, ray_utils
  from data_io import neuman_helper
  from options import options
  from models.smpl import SMPL
label_desc: Use image node_id 2 for calling a global function with example usage: get_mocap_path(opt) and returns: str,  int,  int,  int