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I've found a bug in a couple of python scipy probability functions which leads to the kernel crashing. In the case of the beta function, the error originates in the source in boost which appears to be at boost.org and on github in one of the lines reading BOOST_MATH_ASSERT(*p_derivative >= 0).
I originally posted this issue at scipy/scipy#18906. But am now reposting the python code here as requested there by @jzmaddock.
import scipy.stats
print([shape_param.domain for shape_param in scipy.stats.beta._shape_info()])
# [[5e-324, inf], [5e-324, inf]]
print(scipy.stats.beta(a=1e-308, b=5).ppf(.2))
# 0.0
print(scipy.stats.beta(a=1e-309, b=5).ppf(.2))
# OverflowError: Error in function boost::math::tgamma<d>(d): Overflow Error
# (raises error, but kernel doesn't crash)
print(scipy.stats.beta(a=1e-323, b=5).ppf(.2))
# KERNEL CRASHES with message: `Assertion failed: *p_derivative >= 0, file
..\..\scipy\_lib\boost/boost/math/special_functions/beta.hpp, line 739`
The text was updated successfully, but these errors were encountered:
I've found a bug in a couple of python
scipy
probability functions which leads to the kernel crashing. In the case of thebeta
function, the error originates in the source in boost which appears to be at boost.org and on github in one of the lines readingBOOST_MATH_ASSERT(*p_derivative >= 0)
.I originally posted this issue at scipy/scipy#18906. But am now reposting the python code here as requested there by @jzmaddock.
The text was updated successfully, but these errors were encountered: