code: def test_custom_studentt_cdf(df, loc, scale, value):
      torch_dist = StudentT(df=df, loc=loc, scale=scale)
      scipy_dist = torch_dist.scipy_student_t
  
      torch_cdf = torch_dist.cdf(torch.as_tensor(value))
      scipy_cdf = scipy_dist.cdf(np.asarray(value))
  
      assert np.allclose(torch_cdf, scipy_cdf)
  
imports: import pytest
  import numpy
  import torch
  from gluonts.torch.distributions.studentT import StudentT
label_desc: Use image node_id 2 for calling a global function with example usage: test_custom_studentt_cdf(df, loc, scale, value) without return types