code: def test_softmin_grad(arr, alpha, grad_desired):
      grad_actual = _softmin_grad(arr, alpha)
      np.testing.assert_allclose(
          grad_actual, grad_desired, atol=1e-5, rtol=0
      )
  
imports: import numpy
  import pytest
  import re
  from sklearn.exceptions import ConvergenceWarning
  from pyts.classification.learning_shapelets import CrossEntropyLearningShapelets
  from pyts.classification import LearningShapelets
  from pyts.classification.learning_shapelets import _expit, _xlogy, _softmin, _softmin_grad, _softmax, _derive_shapelet_distances, _derive_all_squared_distances, _reshape_list_shapelets, _reshape_array_shapelets, _loss, _grad_weights, _grad_shapelets
label_desc: Use image node_id 4 for calling a global function with example usage: test_softmin_grad(arr, alpha, grad_desired) without return types