numpy.core.getlimits.MachArLike

class documentation

class MachArLike:

Object to simulate MachAr instance

Method	`__init__`	Undocumented
Method	`_float_conv`	Converts float to conv.
Method	`_float_to_float`	Converts float to float.
Method	`_float_to_str`	Converts float to str.
Instance Variable	`_smallest_subnormal`	Undocumented
Instance Variable	`_str_eps`	Undocumented
Instance Variable	`_str_epsneg`	Undocumented
Instance Variable	`_str_resolution`	Undocumented
Instance Variable	`_str_smallest_normal`	Undocumented
Instance Variable	`_str_xmax`	Undocumented
Instance Variable	`_str_xmin`	Undocumented
Instance Variable	`eps`	Undocumented
Instance Variable	`epsilon`	Undocumented
Instance Variable	`epsneg`	Undocumented
Instance Variable	`ftype`	Undocumented
Instance Variable	`huge`	Undocumented
Instance Variable	`ibeta`	Undocumented
Instance Variable	`params`	Undocumented
Instance Variable	`precision`	Undocumented
Instance Variable	`resolution`	Undocumented
Instance Variable	`smallest_normal`	Undocumented
Instance Variable	`tiny`	Undocumented
Instance Variable	`title`	Undocumented
Instance Variable	`xmax`	Undocumented
Instance Variable	`xmin`	Undocumented
Property	`_str_smallest_subnormal`	Return the string representation of the smallest subnormal.
Property	`smallest_subnormal`	Return the value for the smallest subnormal.

def __init__(self, ftype, *, eps, epsneg, huge, tiny, ibeta, smallest_subnormal=None, **kwargs):

Undocumented

def _float_conv(self, value):

Converts float to conv.

Parameters

value : float: value to be converted.

def _float_to_float(self, value):

Converts float to float.

Parameters

value : float: value to be converted.

def _float_to_str(self, value):

Converts float to str.

Parameters

value : float: value to be converted.

_smallest_subnormal =

Undocumented

_str_eps =

Undocumented

_str_epsneg =

Undocumented

_str_resolution =

Undocumented

_str_smallest_normal =

Undocumented

_str_xmax =

Undocumented

_str_xmin =

Undocumented

eps =

Undocumented

epsilon =

Undocumented

epsneg =

Undocumented

ftype =

Undocumented

huge =

Undocumented

ibeta =

Undocumented

params =

Undocumented

precision =

Undocumented

resolution =

Undocumented

smallest_normal =

Undocumented

tiny =

Undocumented

title =

Undocumented

xmax =

Undocumented

xmin =

Undocumented

@property
_str_smallest_subnormal =

Return the string representation of the smallest subnormal.

@property
smallest_subnormal =

Return the value for the smallest subnormal.

Returns

smallest_subnormal : float: value for the smallest subnormal.

Warns

UserWarning: If the calculated value for the smallest subnormal is zero.