numpy.MachAr
-
class numpy.MachAr(float_conv=<class 'float'>, int_conv=<class 'int'>, float_to_float=<class 'float'>, float_to_str=<function MachAr.<lambda>>, title='Python floating point number')
[source] -
Diagnosing machine parameters.
- Parameters
-
-
float_convfunction, optional
-
Function that converts an integer or integer array to a float or float array. Default is
float
. -
int_convfunction, optional
-
Function that converts a float or float array to an integer or integer array. Default is
int
. -
float_to_floatfunction, optional
-
Function that converts a float array to float. Default is
float
. Note that this does not seem to do anything useful in the current implementation. -
float_to_strfunction, optional
-
Function that converts a single float to a string. Default is
lambda v:'%24.16e' %v
. -
titlestr, optional
-
Title that is printed in the string representation of
MachAr
.
-
References
-
Re860718f5533-1
-
Press, Teukolsky, Vetterling and Flannery, “Numerical Recipes in C++,” 2nd ed, Cambridge University Press, 2002, p. 31.
- Attributes
-
-
ibetaint
-
Radix in which numbers are represented.
-
itint
-
Number of base-
ibeta
digits in the floating point mantissa M. -
machepint
-
Exponent of the smallest (most negative) power of
ibeta
that, added to 1.0, gives something different from 1.0 -
epsfloat
-
Floating-point number
beta**machep
(floating point precision) -
negepint
-
Exponent of the smallest power of
ibeta
that, subtracted from 1.0, gives something different from 1.0. -
epsnegfloat
-
Floating-point number
beta**negep
. -
iexpint
-
Number of bits in the exponent (including its sign and bias).
-
minexpint
-
Smallest (most negative) power of
ibeta
consistent with there being no leading zeros in the mantissa. -
xminfloat
-
Floating point number
beta**minexp
(the smallest [in magnitude] usable floating value). -
maxexpint
-
Smallest (positive) power of
ibeta
that causes overflow. -
xmaxfloat
-
(1-epsneg) * beta**maxexp
(the largest [in magnitude] usable floating value). -
irndint
-
In
range(6)
, information on what kind of rounding is done in addition, and on how underflow is handled. -
ngrdint
-
Number of ‘guard digits’ used when truncating the product of two mantissas to fit the representation.
-
epsilonfloat
-
Same as
eps
. -
tinyfloat
-
Same as
xmin
. -
hugefloat
-
Same as
xmax
. -
precisionfloat
-
- int(-log10(eps))
-
resolutionfloat
-
- 10**(-precision)
-
© 2005–2020 NumPy Developers
Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.19/reference/generated/numpy.MachAr.html