code: def inv_softmax(y: np.ndarray) -> np.ndarray:
      """
      Inverse of the scipy.special.softmax
      """
      return np.log(y)
  
imports: from typing import List
  import numpy
  import pytest
  import torch
  import torch.nn
  from scipy.special import softmax
  from torch.distributions import Beta, Gamma, NegativeBinomial, Normal, Poisson, StudentT
  from torch.nn.utils import clip_grad_norm_
  from torch.optim import SGD
  from torch.utils.data import DataLoader, TensorDataset
  from gluonts.pydantic import PositiveFloat, PositiveInt
  from gluonts.torch.distributions import BetaOutput, DistributionOutput, GammaOutput, NegativeBinomialOutput, NormalOutput, PoissonOutput, SplicedBinnedPareto, SplicedBinnedParetoOutput, StudentTOutput
label_desc: Use image node_id 2 for calling a global function with example usage: inv_softmax(y) and returns: np