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- """
- 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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