class_docstr: Test Truncated Poisson distribution
class_docstr_tok: ["Test","Truncated","Poisson","distribution"]
code: def test_logpmf_zero(self):
      n, p = truncatednegbin.convert_params(5, 1, 2)
      nb_logpmf = nbinom.logpmf(1, n, p) - np.log(nbinom.sf(0, n, p))
      tnb_logpmf = truncatednegbin.logpmf(1, 5, 1, 2, 0)
      assert_allclose(nb_logpmf, tnb_logpmf, rtol=1e-2, atol=1e-2)
  
imports: import numpy
  from numpy.testing import assert_allclose, assert_equal
  from scipy import stats
  from scipy.stats import poisson, nbinom
  from statsmodels.tools.tools import Bunch
  from statsmodels.distributions.discrete import genpoisson_p, truncatedpoisson, truncatednegbin, zipoisson, zinegbin, zigenpoisson, DiscretizedCount, DiscretizedModel
label_desc: Use image node_id 2 for calling the TestTruncatedNBP obj's underlying member method code with example usage: obj.test_logpmf_zero() without return types