# Buggy code
def _stats(self, c):
    # See, for example, "A Statistical Study of Log-Gamma Distribution", by
    # Ping Shing Chan (thesis, McMaster University, 1993).
    mean = special.digamma(c)
    var = special.polygamma(1, c)
    skewness = special.polygamma(2, c) / var**1.5
    excess_kurtosis = special.polygamma(3, c) / (var * var)
    return mean, var, skewness, excess_kurtosis


# Traceback (OverflowError)
======================================================================
ERROR: test_continuous_basic.test_cont_basic(<scipy.stats.distributions.alpha_gen object at 0x3726dd0>, 0.5, (3.5704770516650459,), (0, 1), [<bound method alpha_gen.pdf of <scipy.stats.distributions.alpha_gen object at 0x3726dd0>>, <bound method alpha_gen.logpdf of <scipy.stats.distributions.alpha_gen object at 0x3726dd0>>, <bound method alpha_gen.cdf of <scipy.stats.distributions.alpha_gen object at 0x3726dd0>>, <bound method alpha_gen.logcdf of <scipy.stats.distributions.alpha_gen object at 0x3726dd0>>, <bound method alpha_gen.logsf of <scipy.stats.distributions.alpha_gen object at 0x3726dd0>>])
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/travis/virtualenv/python2.6/lib/python2.6/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/home/travis/build/scipy/scipy/build/testenv/lib/python2.6/site-packages/scipy/stats/tests/test_continuous_basic.py", line 454, in check_named_args
npt.assert_equal(distfn.moment(3, *a, **k),
File "/home/travis/build/scipy/scipy/build/testenv/lib/python2.6/site-packages/scipy/stats/distributions.py", line 1702, in moment
val = _moment_from_stats(n, mu, mu2, g1, g2, self._munp, args)
File "/home/travis/build/scipy/scipy/build/testenv/lib/python2.6/site-packages/scipy/stats/distributions.py", line 387, in _moment_from_stats
mu3 = g1*(mu2**1.5) # 3rd central moment
OverflowError: (34, 'Numerical result out of range')
======================================================================

ERROR: test_continuous_basic.test_cont_basic(<scipy.stats.distributions.foldcauchy_gen object at 0x373e890>, 0.5, (4.7164673455831894,), (0, 1), [<bound method foldcauchy_gen.pdf of <scipy.stats.distributions.foldcauchy_gen object at 0x373e890>>, <bound method foldcauchy_gen.logpdf of <scipy.stats.distributions.foldcauchy_gen object at 0x373e890>>, <bound method foldcauchy_gen.cdf of <scipy.stats.distributions.foldcauchy_gen object at 0x373e890>>, <bound method foldcauchy_gen.logcdf of <scipy.stats.distributions.foldcauchy_gen object at 0x373e890>>, <bound method foldcauchy_gen.logsf of <scipy.stats.distributions.foldcauchy_gen object at 0x373e890>>])
----------------------------------------------------------------------
Traceback (most recent call last):
File "/home/travis/virtualenv/python2.6/lib/python2.6/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/home/travis/build/scipy/scipy/build/testenv/lib/python2.6/site-packages/scipy/stats/tests/test_continuous_basic.py", line 454, in check_named_args
npt.assert_equal(distfn.moment(3, *a, **k),
File "/home/travis/build/scipy/scipy/build/testenv/lib/python2.6/site-packages/scipy/stats/distributions.py", line 1702, in moment
val = _moment_from_stats(n, mu, mu2, g1, g2, self._munp, args)
File "/home/travis/build/scipy/scipy/build/testenv/lib/python2.6/site-packages/scipy/stats/distributions.py", line 387, in _moment_from_stats
mu3 = g1*(mu2**1.5) # 3rd central moment
OverflowError: (34, 'Numerical result out of range')

# Fixed code
def _stats(self, c):
    # See, for example, "A Statistical Study of Log-Gamma Distribution", by
    # Ping Shing Chan (thesis, McMaster University, 1993).
    mean = special.digamma(c)
    var = special.polygamma(1, c)
    skewness = special.polygamma(2, c) / np.power(var, 1.5)
    excess_kurtosis = special.polygamma(3, c) / (var * var)
    return mean, var, skewness, excess_kurtosis