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