code: def test_onecyclelr(self):
      self._test_onecyclelr(
          1000,
          {
              "pct_start": 0.3,
              "anneal_strategy": "linear",
              "cycle_momentum": False,
              "div_factor": 25.0,
              "final_div_factor": 10000.0,
              "max_lr": 1e-5,
          },
          1e-6,
          1e-6,
      )
  
imports: import numpy
  import torch
  import unittest
  from tinygrad.tensor import Tensor
  from tinygrad.nn.state import get_parameters
  from tinygrad.nn.optim import Adam
  from extra.lr_scheduler import MultiStepLR, ReduceLROnPlateau, CosineAnnealingLR, OneCycleLR
  from extra.training import train, evaluate
  from extra.datasets import fetch_mnist
label_desc: Use image node_id 16 for calling the TestLrScheduler obj's underlying member method code with example usage: obj.test_onecyclelr() without return types