code: def walkers_independent(coords):
      if not np.all(np.isfinite(coords)):
          return False
      C = coords - np.mean(coords, axis=0)[None, :]
      C_colmax = np.amax(np.abs(C), axis=0)
      if np.any(C_colmax == 0):
          return False
      C /= C_colmax
      C_colsum = np.sqrt(np.sum(C**2, axis=0))
      C /= C_colsum
      return np.linalg.cond(C.astype(float)) <= 1e8
  
imports: import warnings
  from itertools import count
  from typing import Dict, List, Optional, Union
  import numpy
  from .backends import Backend
  from .model import Model
  from .moves import StretchMove
  from .pbar import get_progress_bar
  from .state import State
  from .utils import deprecated, deprecation_warning
label_desc: Use image node_id 1 for calling a global function with example usage: walkers_independent(coords) and returns: unknown, False, False