code: def __init__(self, p_mean=-1.2, p_std=1.2, even=False):
      self.p_mean = p_mean
      self.p_std = p_std
      self.even = even
      if self.even:
          self.inv_cdf = lambda x: norm.ppf(x, loc=p_mean, scale=p_std)
          self.rank, self.size = dist.get_rank(), dist.get_world_size()
  
imports: from abc import ABC, abstractmethod
  import numpy
  import torch
  from scipy.stats import norm
  import torch.distributed
label_desc: Use image node_id 1 to create a new LogNormalSampler object  with example: obj = LogNormalSampler(p_mean, p_std, even)