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""" Statistics-related constants. """ from __future__ import division, print_function, absolute_import import numpy as np # The smallest representable positive number such that 1.0 + _EPS != 1.0. _EPS = np.finfo(float).eps # The largest [in magnitude] usable floating value. _XMAX = np.finfo(float).machar.xmax # The log of the largest usable floating value; useful for knowing # when exp(something) will overflow _LOGXMAX = np.log(_XMAX) # The smallest [in magnitude] usable floating value. _XMIN = np.finfo(float).machar.xmin # -special.psi(1) _EULER = 0.577215664901532860606512090082402431042 # special.zeta(3, 1) Apery's constant _ZETA3 = 1.202056903159594285399738161511449990765
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