code: def _validate_reuse_factor(self, n_in, n_out, rf):
      multfactor = min(n_in, rf)
      multiplier_limit = int(
          math.ceil((n_in * n_out) / float(multfactor))
      )
      #
      # THIS ASSERTION IS FOR THE FUNCTIONAL CORRECTNESS OF THE DENSE LAYER
      #
      _assert = ((multiplier_limit % n_out) == 0) or (rf >= n_in)
      _assert = _assert and (((rf % n_in) == 0) or (rf < n_in))
      #
      # THIS ASSERTION IS FOR QoR AND EXECUTION TIME
      #
      _assert = _assert and (((n_in * n_out) % rf) == 0)
  
      return _assert
  
imports: import math
  import os
  import re
  from bisect import bisect_left
  from collections.abc import Iterable
  import numpy
  from hls4ml.backends.backend import Backend
  from hls4ml.model.attributes import ChoiceAttribute, ConfigurableAttribute, TypeAttribute
  from hls4ml.model.layers import GRU, LSTM, Activation, BatchNormalization, Conv1D, Conv2D, Dense, Dot, Embedding, GarNet, GarNetStack, GlobalPooling1D, GlobalPooling2D, Pooling1D, Pooling2D, SeparableConv1D, SeparableConv2D, SimpleRNN, Softmax
  from hls4ml.model.optimizer import model_optimizer
  from hls4ml.model.types import ExponentPrecisionType, FixedPrecisionType, IntegerPrecisionType, RoundingMode, SaturationMode, XnorPrecisionType
  from hls4ml.writer import get_writer
label_desc: Use image node_id 8 for calling the FPGABackend obj's underlying member method code with example usage: obj._validate_reuse_factor(n_in, n_out, rf) and returns: _assert