Class MachAr

numpy/core/_machar.py:17–352

Diagnosing machine parameters. Attributes ---------- ibeta : int Radix in which numbers are represented. it : int Number of base-`ibeta` digits in the floating point mantissa M. machep : int Exponent of the smallest (most negative) power of `ibeta` t

# Deprecated 2021-10-20, NumPy 1.22
class MachAr:
    """
    Diagnosing machine parameters.

    Attributes
    ----------
    ibeta : int
        Radix in which numbers are represented.
    it : int
        Number of base-`ibeta` digits in the floating point mantissa M.
    machep : int
        Exponent of the smallest (most negative) power of `ibeta` that,
        added to 1.0, gives something different from 1.0
    eps : float
        Floating-point number ``beta**machep`` (floating point precision)
    negep : int
        Exponent of the smallest power of `ibeta` that, subtracted
        from 1.0, gives something different from 1.0.
    epsneg : float
        Floating-point number ``beta**negep``.
    iexp : int
        Number of bits in the exponent (including its sign and bias).
    minexp : int
        Smallest (most negative) power of `ibeta` consistent with there
        being no leading zeros in the mantissa.
    xmin : float
        Floating-point number ``beta**minexp`` (the smallest [in
        magnitude] positive floating point number with full precision).
    maxexp : int
        Smallest (positive) power of `ibeta` that causes overflow.
    xmax : float
        ``(1-epsneg) * beta**maxexp`` (the largest [in magnitude]
        usable floating value).
    irnd : int
        In ``range(6)``, information on what kind of rounding is done
        in addition, and on how underflow is handled.
    ngrd : int
        Number of 'guard digits' used when truncating the product
        of two mantissas to fit the representation.
    epsilon : float
        Same as `eps`.
    tiny : float
        An alias for `smallest_normal`, kept for backwards compatibility.
    huge : float
        Same as `xmax`.
    precision : float
        ``- int(-log10(eps))``
    resolution : float
        ``- 10**(-precision)``
    smallest_normal : float
        The smallest positive floating point number with 1 as leading bit in
        the mantissa following IEEE-754. Same as `xmin`.
    smallest_subnormal : float
        The smallest positive floating point number with 0 as leading bit in
        the mantissa following IEEE-754.

    Parameters
    ----------