| """ | |
| 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 | |