def _lazyselect(condlist, choicelist, arrays, default=0):
 arrays = np.broadcast_arrays(*arrays)
 tcode = np.mintypecode([a.dtype.char for a in arrays])
 out = _valarray(np.shape(arrays[0]), value=default, typecode=tcode)
 for index in range(len(condlist)):
  (func, cond) = (choicelist[index], condlist[index])
  if np.all((cond is False)):
   continue
  (cond, _) = np.broadcast_arrays(cond, arrays[0])
  temp = tuple((np.extract(cond, arr) for arr in arrays))
  np.place(out, cond, func(*temp))
 return out

def _lazyselect ( condlist , choicelist , arrays , default = 0 ) : arrays = np . broadcast_arrays ( * arrays ) tcode = np . mintypecode ( [ a . dtype . char for a in arrays ] ) out = _valarray ( np . shape ( arrays [ 0 ] ) , value = default , typecode = tcode ) for index in range ( len ( condlist ) ) : ( func , cond ) = ( choicelist [ index ] , condlist [ index ] ) if np . all ( ( cond is False ) ) : continue ( cond , _ ) = np . broadcast_arrays ( cond , arrays [ 0 ] ) temp = tuple ( ( np . extract ( cond , arr ) for arr in arrays ) ) np . place ( out , cond , func ( * temp ) ) return out
mimic np .