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_constants.py1 kB
""" Statistics-related constants. """ 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).max # 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 (i.e. not subnormal) double precision # floating value. _XMIN = np.finfo(float).tiny # The log of the smallest [in magnitude] usable (i.e not subnormal) # double precision floating value. _LOGXMIN = np.log(_XMIN) # -special.psi(1) _EULER = 0.577215664901532860606512090082402431042 # special.zeta(3, 1) Apery's constant _ZETA3 = 1.202056903159594285399738161511449990765 # sqrt(pi) _SQRT_PI = 1.772453850905516027298167483341145182798 # sqrt(2/pi) _SQRT_2_OVER_PI = 0.7978845608028654 # log(pi) _LOG_PI = 1.1447298858494002 # log(sqrt(2/pi)) _LOG_SQRT_2_OVER_PI = -0.22579135264472744

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