0x1998 - MANAGER

Düzenlenen Dosya: _machar.py

""" Machine arithmetic - determine the parameters of the floating-point arithmetic system Author: Pearu Peterson, September 2003 """ __all__ = ['MachAr'] from .fromnumeric import any from ._ufunc_config import errstate from .._utils import set_module # Need to speed this up...especially for longfloat # 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 ---------- float_conv : function, optional Function that converts an integer or integer array to a float or float array. Default is `float`. int_conv : function, optional Function that converts a float or float array to an integer or integer array. Default is `int`. float_to_float : function, 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_str : function, optional Function that converts a single float to a string. Default is ``lambda v:'%24.16e' %v``. title : str, optional Title that is printed in the string representation of `MachAr`. See Also -------- finfo : Machine limits for floating point types. iinfo : Machine limits for integer types. References ---------- .. [1] Press, Teukolsky, Vetterling and Flannery, "Numerical Recipes in C++," 2nd ed, Cambridge University Press, 2002, p. 31. """ def __init__(self, float_conv=float,int_conv=int, float_to_float=float, float_to_str=lambda v:'%24.16e' % v, title='Python floating point number'): """ float_conv - convert integer to float (array) int_conv - convert float (array) to integer float_to_float - convert float array to float float_to_str - convert array float to str title - description of used floating point numbers """ # We ignore all errors here because we are purposely triggering # underflow to detect the properties of the runninng arch. with errstate(under='ignore'): self._do_init(float_conv, int_conv, float_to_float, float_to_str, title) def _do_init(self, float_conv, int_conv, float_to_float, float_to_str, title): max_iterN = 10000 msg = "Did not converge after %d tries with %s" one = float_conv(1) two = one + one zero = one - one # Do we really need to do this? Aren't they 2 and 2.0? # Determine ibeta and beta a = one for _ in range(max_iterN): a = a + a temp = a + one temp1 = temp - a if any(temp1 - one != zero): break else: raise RuntimeError(msg % (_, one.dtype)) b = one for _ in range(max_iterN): b = b + b temp = a + b itemp = int_conv(temp-a) if any(itemp != 0): break else: raise RuntimeError(msg % (_, one.dtype)) ibeta = itemp beta = float_conv(ibeta) # Determine it and irnd it = -1 b = one for _ in range(max_iterN): it = it + 1 b = b * beta temp = b + one temp1 = temp - b if any(temp1 - one != zero): break else: raise RuntimeError(msg % (_, one.dtype)) betah = beta / two a = one for _ in range(max_iterN): a = a + a temp = a + one temp1 = temp - a if any(temp1 - one != zero): break else: raise RuntimeError(msg % (_, one.dtype)) temp = a + betah irnd = 0 if any(temp-a != zero): irnd = 1 tempa = a + beta temp = tempa + betah if irnd == 0 and any(temp-tempa != zero): irnd = 2 # Determine negep and epsneg negep = it + 3 betain = one / beta a = one for i in range(negep): a = a * betain b = a for _ in range(max_iterN): temp = one - a if any(temp-one != zero): break a = a * beta negep = negep - 1 # Prevent infinite loop on PPC with gcc 4.0: if negep < 0: raise RuntimeError("could not determine machine tolerance " "for 'negep', locals() -> %s" % (locals())) else: raise RuntimeError(msg % (_, one.dtype)) negep = -negep epsneg = a # Determine machep and eps machep = - it - 3 a = b for _ in range(max_iterN): temp = one + a if any(temp-one != zero): break a = a * beta machep = machep + 1 else: raise RuntimeError(msg % (_, one.dtype)) eps = a # Determine ngrd ngrd = 0 temp = one + eps if irnd == 0 and any(temp*one - one != zero): ngrd = 1 # Determine iexp i = 0 k = 1 z = betain t = one + eps nxres = 0 for _ in range(max_iterN): y = z z = y*y a = z*one # Check here for underflow temp = z*t if any(a+a == zero) or any(abs(z) >= y): break temp1 = temp * betain if any(temp1*beta == z): break i = i + 1 k = k + k else: raise RuntimeError(msg % (_, one.dtype)) if ibeta != 10: iexp = i + 1 mx = k + k else: iexp = 2 iz = ibeta while k >= iz: iz = iz * ibeta iexp = iexp + 1 mx = iz + iz - 1 # Determine minexp and xmin for _ in range(max_iterN): xmin = y y = y * betain a = y * one temp = y * t if any((a + a) != zero) and any(abs(y) < xmin): k = k + 1 temp1 = temp * betain if any(temp1*beta == y) and any(temp != y): nxres = 3 xmin = y break else: break else: raise RuntimeError(msg % (_, one.dtype)) minexp = -k # Determine maxexp, xmax if mx <= k + k - 3 and ibeta != 10: mx = mx + mx iexp = iexp + 1 maxexp = mx + minexp irnd = irnd + nxres if irnd >= 2: maxexp = maxexp - 2 i = maxexp + minexp if ibeta == 2 and not i: maxexp = maxexp - 1 if i > 20: maxexp = maxexp - 1 if any(a != y): maxexp = maxexp - 2 xmax = one - epsneg if any(xmax*one != xmax): xmax = one - beta*epsneg xmax = xmax / (xmin*beta*beta*beta) i = maxexp + minexp + 3 for j in range(i): if ibeta == 2: xmax = xmax + xmax else: xmax = xmax * beta smallest_subnormal = abs(xmin / beta ** (it)) self.ibeta = ibeta self.it = it self.negep = negep self.epsneg = float_to_float(epsneg) self._str_epsneg = float_to_str(epsneg) self.machep = machep self.eps = float_to_float(eps) self._str_eps = float_to_str(eps) self.ngrd = ngrd self.iexp = iexp self.minexp = minexp self.xmin = float_to_float(xmin) self._str_xmin = float_to_str(xmin) self.maxexp = maxexp self.xmax = float_to_float(xmax) self._str_xmax = float_to_str(xmax) self.irnd = irnd self.title = title # Commonly used parameters self.epsilon = self.eps self.tiny = self.xmin self.huge = self.xmax self.smallest_normal = self.xmin self._str_smallest_normal = float_to_str(self.xmin) self.smallest_subnormal = float_to_float(smallest_subnormal) self._str_smallest_subnormal = float_to_str(smallest_subnormal) import math self.precision = int(-math.log10(float_to_float(self.eps))) ten = two + two + two + two + two resolution = ten ** (-self.precision) self.resolution = float_to_float(resolution) self._str_resolution = float_to_str(resolution) def __str__(self): fmt = ( 'Machine parameters for %(title)s\n' '---------------------------------------------------------------------\n' 'ibeta=%(ibeta)s it=%(it)s iexp=%(iexp)s ngrd=%(ngrd)s irnd=%(irnd)s\n' 'machep=%(machep)s eps=%(_str_eps)s (beta**machep == epsilon)\n' 'negep =%(negep)s epsneg=%(_str_epsneg)s (beta**epsneg)\n' 'minexp=%(minexp)s xmin=%(_str_xmin)s (beta**minexp == tiny)\n' 'maxexp=%(maxexp)s xmax=%(_str_xmax)s ((1-epsneg)*beta**maxexp == huge)\n' 'smallest_normal=%(smallest_normal)s ' 'smallest_subnormal=%(smallest_subnormal)s\n' '---------------------------------------------------------------------\n' ) return fmt % self.__dict__ if __name__ == '__main__': print(MachAr())
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