""" Low-level functions for arbitrary-precision floating-point arithmetic. """ __docformat__ = 'plaintext' import math from bisect import bisect import sys # Importing random is slow #from random import getrandbits getrandbits = None from .backend import (MPZ, MPZ_TYPE, MPZ_ZERO, MPZ_ONE, MPZ_TWO, MPZ_FIVE, BACKEND, STRICT, HASH_MODULUS, HASH_BITS, gmpy, sage, sage_utils) from .libintmath import (giant_steps, trailtable, bctable, lshift, rshift, bitcount, trailing, sqrt_fixed, numeral, isqrt, isqrt_fast, sqrtrem, bin_to_radix) # We don't pickle tuples directly for the following reasons: # 1: pickle uses str() for ints, which is inefficient when they are large # 2: pickle doesn't work for gmpy mpzs # Both problems are solved by using hex() if BACKEND == 'sage': def to_pickable(x): sign, man, exp, bc = x return sign, hex(man), exp, bc else: def to_pickable(x): sign, man, exp, bc = x return sign, hex(man)[2:], exp, bc def from_pickable(x): sign, man, exp, bc = x return (sign, MPZ(man, 16), exp, bc) class ComplexResult(ValueError): pass try: intern except NameError: intern = lambda x: x # All supported rounding modes round_nearest = intern('n') round_floor = intern('f') round_ceiling = intern('c') round_up = intern('u') round_down = intern('d') round_fast = round_down def prec_to_dps(n): """Return number of accurate decimals that can be represented with a precision of n bits.""" return max(1, int(round(int(n)/3.3219280948873626)-1)) def dps_to_prec(n): """Return the number of bits required to represent n decimals accurately.""" return max(1, int(round((int(n)+1)*3.3219280948873626))) def repr_dps(n): """Return the number of decimal digits required to represent a number with n-bit precision so that it can be uniquely reconstructed from the representation.""" dps = prec_to_dps(n) if dps == 15: return 17 return dps + 3 #----------------------------------------------------------------------------# # Some commonly needed float values # #----------------------------------------------------------------------------# # Regular number format: # (-1)**sign * mantissa * 2**exponent, plus bitcount of mantissa fzero = (0, MPZ_ZERO, 0, 0) fnzero = (1, MPZ_ZERO, 0, 0) fone = (0, MPZ_ONE, 0, 1) fnone = (1, MPZ_ONE, 0, 1) ftwo = (0, MPZ_ONE, 1, 1) ften = (0, MPZ_FIVE, 1, 3) fhalf = (0, MPZ_ONE, -1, 1) # Arbitrary encoding for special numbers: zero mantissa, nonzero exponent fnan = (0, MPZ_ZERO, -123, -1) finf = (0, MPZ_ZERO, -456, -2) fninf = (1, MPZ_ZERO, -789, -3) # Was 1e1000; this is broken in Python 2.4 math_float_inf = 1e300 * 1e300 #----------------------------------------------------------------------------# # Rounding # #----------------------------------------------------------------------------# # This function can be used to round a mantissa generally. However, # we will try to do most rounding inline for efficiency. def round_int(x, n, rnd): if rnd == round_nearest: if x >= 0: t = x >> (n-1) if t & 1 and ((t & 2) or (x & h_mask[n<300][n])): return (t>>1)+1 else: return t>>1 else: return -round_int(-x, n, rnd) if rnd == round_floor: return x >> n if rnd == round_ceiling: return -((-x) >> n) if rnd == round_down: if x >= 0: return x >> n return -((-x) >> n) if rnd == round_up: if x >= 0: return -((-x) >> n) return x >> n # These masks are used to pick out segments of numbers to determine # which direction to round when rounding to nearest. class h_mask_big: def __getitem__(self, n): return (MPZ_ONE<<(n-1))-1 h_mask_small = [0]+[((MPZ_ONE<<(_-1))-1) for _ in range(1, 300)] h_mask = [h_mask_big(), h_mask_small] # The >> operator rounds to floor. shifts_down[rnd][sign] # tells whether this is the right direction to use, or if the # number should be negated before shifting shifts_down = {round_floor:(1,0), round_ceiling:(0,1), round_down:(1,1), round_up:(0,0)} #----------------------------------------------------------------------------# # Normalization of raw mpfs # #----------------------------------------------------------------------------# # This function is called almost every time an mpf is created. # It has been optimized accordingly. def _normalize(sign, man, exp, bc, prec, rnd): """ Create a raw mpf tuple with value (-1)**sign * man * 2**exp and normalized mantissa. The mantissa is rounded in the specified direction if its size exceeds the precision. Trailing zero bits are also stripped from the mantissa to ensure that the representation is canonical. Conditions on the input: * The input must represent a regular (finite) number * The sign bit must be 0 or 1 * The mantissa must be positive * The exponent must be an integer * The bitcount must be exact If these conditions are not met, use from_man_exp, mpf_pos, or any of the conversion functions to create normalized raw mpf tuples. """ if not man: return fzero # Cut mantissa down to size if larger than target precision n = bc - prec if n > 0: if rnd == round_nearest: t = man >> (n-1) if t & 1 and ((t & 2) or (man & h_mask[n<300][n])): man = (t>>1)+1 else: man = t>>1 elif shifts_down[rnd][sign]: man >>= n else: man = -((-man)>>n) exp += n bc = prec # Strip trailing bits if not man & 1: t = trailtable[int(man & 255)] if not t: while not man & 255: man >>= 8 exp += 8 bc -= 8 t = trailtable[int(man & 255)] man >>= t exp += t bc -= t # Bit count can be wrong if the input mantissa was 1 less than # a power of 2 and got rounded up, thereby adding an extra bit. # With trailing bits removed, all powers of two have mantissa 1, # so this is easy to check for. if man == 1: bc = 1 return sign, man, exp, bc def _normalize1(sign, man, exp, bc, prec, rnd): """same as normalize, but with the added condition that man is odd or zero """ if not man: return fzero if bc <= prec: return sign, man, exp, bc n = bc - prec if rnd == round_nearest: t = man >> (n-1) if t & 1 and ((t & 2) or (man & h_mask[n<300][n])): man = (t>>1)+1 else: man = t>>1 elif shifts_down[rnd][sign]: man >>= n else: man = -((-man)>>n) exp += n bc = prec # Strip trailing bits if not man & 1: t = trailtable[int(man & 255)] if not t: while not man & 255: man >>= 8 exp += 8 bc -= 8 t = trailtable[int(man & 255)] man >>= t exp += t bc -= t # Bit count can be wrong if the input mantissa was 1 less than # a power of 2 and got rounded up, thereby adding an extra bit. # With trailing bits removed, all powers of two have mantissa 1, # so this is easy to check for. if man == 1: bc = 1 return sign, man, exp, bc try: _exp_types = (int, long) except NameError: _exp_types = (int,) def strict_normalize(sign, man, exp, bc, prec, rnd): """Additional checks on the components of an mpf. Enable tests by setting the environment variable MPMATH_STRICT to Y.""" assert type(man) == MPZ_TYPE assert type(bc) in _exp_types assert type(exp) in _exp_types assert bc == bitcount(man) return _normalize(sign, man, exp, bc, prec, rnd) def strict_normalize1(sign, man, exp, bc, prec, rnd): """Additional checks on the components of an mpf. Enable tests by setting the environment variable MPMATH_STRICT to Y.""" assert type(man) == MPZ_TYPE assert type(bc) in _exp_types assert type(exp) in _exp_types assert bc == bitcount(man) assert (not man) or (man & 1) return _normalize1(sign, man, exp, bc, prec, rnd) if BACKEND == 'gmpy' and '_mpmath_normalize' in dir(gmpy): _normalize = gmpy._mpmath_normalize _normalize1 = gmpy._mpmath_normalize if BACKEND == 'sage': _normalize = _normalize1 = sage_utils.normalize if STRICT: normalize = strict_normalize normalize1 = strict_normalize1 else: normalize = _normalize normalize1 = _normalize1 #----------------------------------------------------------------------------# # Conversion functions # #----------------------------------------------------------------------------# def from_man_exp(man, exp, prec=None, rnd=round_fast): """Create raw mpf from (man, exp) pair. The mantissa may be signed. If no precision is specified, the mantissa is stored exactly.""" man = MPZ(man) sign = 0 if man < 0: sign = 1 man = -man if man < 1024: bc = bctable[int(man)] else: bc = bitcount(man) if not prec: if not man: return fzero if not man & 1: if man & 2: return (sign, man >> 1, exp + 1, bc - 1) t = trailtable[int(man & 255)] if not t: while not man & 255: man >>= 8 exp += 8 bc -= 8 t = trailtable[int(man & 255)] man >>= t exp += t bc -= t return (sign, man, exp, bc) return normalize(sign, man, exp, bc, prec, rnd) int_cache = dict((n, from_man_exp(n, 0)) for n in range(-10, 257)) if BACKEND == 'gmpy' and '_mpmath_create' in dir(gmpy): from_man_exp = gmpy._mpmath_create if BACKEND == 'sage': from_man_exp = sage_utils.from_man_exp def from_int(n, prec=0, rnd=round_fast): """Create a raw mpf from an integer. If no precision is specified, the mantissa is stored exactly.""" if not prec: if n in int_cache: return int_cache[n] return from_man_exp(n, 0, prec, rnd) def to_man_exp(s): """Return (man, exp) of a raw mpf. Raise an error if inf/nan.""" sign, man, exp, bc = s if (not man) and exp: raise ValueError("mantissa and exponent are undefined for %s" % man) return man, exp def to_int(s, rnd=None): """Convert a raw mpf to the nearest int. Rounding is done down by default (same as int(float) in Python), but can be changed. If the input is inf/nan, an exception is raised.""" sign, man, exp, bc = s if (not man) and exp: raise ValueError("cannot convert inf or nan to int") if exp >= 0: if sign: return (-man) << exp return man << exp # Make default rounding fast if not rnd: if sign: return -(man >> (-exp)) else: return man >> (-exp) if sign: return round_int(-man, -exp, rnd) else: return round_int(man, -exp, rnd) def mpf_round_int(s, rnd): sign, man, exp, bc = s if (not man) and exp: return s if exp >= 0: return s mag = exp+bc if mag < 1: if rnd == round_ceiling: if sign: return fzero else: return fone elif rnd == round_floor: if sign: return fnone else: return fzero elif rnd == round_nearest: if mag < 0 or man == MPZ_ONE: return fzero elif sign: return fnone else: return fone else: raise NotImplementedError return mpf_pos(s, min(bc, mag), rnd) def mpf_floor(s, prec=0, rnd=round_fast): v = mpf_round_int(s, round_floor) if prec: v = mpf_pos(v, prec, rnd) return v def mpf_ceil(s, prec=0, rnd=round_fast): v = mpf_round_int(s, round_ceiling) if prec: v = mpf_pos(v, prec, rnd) return v def mpf_nint(s, prec=0, rnd=round_fast): v = mpf_round_int(s, round_nearest) if prec: v = mpf_pos(v, prec, rnd) return v def mpf_frac(s, prec=0, rnd=round_fast): return mpf_sub(s, mpf_floor(s), prec, rnd) def from_float(x, prec=53, rnd=round_fast): """Create a raw mpf from a Python float, rounding if necessary. If prec >= 53, the result is guaranteed to represent exactly the same number as the input. If prec is not specified, use prec=53.""" # frexp only raises an exception for nan on some platforms if x != x: return fnan # in Python2.5 math.frexp gives an exception for float infinity # in Python2.6 it returns (float infinity, 0) try: m, e = math.frexp(x) except: if x == math_float_inf: return finf if x == -math_float_inf: return fninf return fnan if x == math_float_inf: return finf if x == -math_float_inf: return fninf return from_man_exp(int(m*(1<<53)), e-53, prec, rnd) def from_npfloat(x, prec=113, rnd=round_fast): """Create a raw mpf from a numpy float, rounding if necessary. If prec >= 113, the result is guaranteed to represent exactly the same number as the input. If prec is not specified, use prec=113.""" y = float(x) if x == y: # ldexp overflows for float16 return from_float(y, prec, rnd) import numpy as np if np.isfinite(x): m, e = np.frexp(x) return from_man_exp(int(np.ldexp(m, 113)), int(e-113), prec, rnd) if np.isposinf(x): return finf if np.isneginf(x): return fninf return fnan def from_Decimal(x, prec=None, rnd=round_fast): """Create a raw mpf from a Decimal, rounding if necessary. If prec is not specified, use the equivalent bit precision of the number of significant digits in x.""" if x.is_nan(): return fnan if x.is_infinite(): return fninf if x.is_signed() else finf if prec is None: prec = int(len(x.as_tuple()[1])*3.3219280948873626) return from_str(str(x), prec, rnd) def to_float(s, strict=False, rnd=round_fast): """ Convert a raw mpf to a Python float. The result is exact if the bitcount of s is <= 53 and no underflow/overflow occurs. If the number is too large or too small to represent as a regular float, it will be converted to inf or 0.0. Setting strict=True forces an OverflowError to be raised instead. Warning: with a directed rounding mode, the correct nearest representable floating-point number in the specified direction might not be computed in case of overflow or (gradual) underflow. """ sign, man, exp, bc = s if not man: if s == fzero: return 0.0 if s == finf: return math_float_inf if s == fninf: return -math_float_inf return math_float_inf/math_float_inf if bc > 53: sign, man, exp, bc = normalize1(sign, man, exp, bc, 53, rnd) if sign: man = -man try: return math.ldexp(man, exp) except OverflowError: if strict: raise # Overflow to infinity if exp + bc > 0: if sign: return -math_float_inf else: return math_float_inf # Underflow to zero return 0.0 def from_rational(p, q, prec, rnd=round_fast): """Create a raw mpf from a rational number p/q, round if necessary.""" return mpf_div(from_int(p), from_int(q), prec, rnd) def to_rational(s): """Convert a raw mpf to a rational number. Return integers (p, q) such that s = p/q exactly.""" sign, man, exp, bc = s if sign: man = -man if bc == -1: raise ValueError("cannot convert %s to a rational number" % man) if exp >= 0: return man * (1<= 0: return (-man) << offset else: return (-man) >> (-offset) else: if offset >= 0: return man << offset else: return man >> (-offset) ############################################################################## ############################################################################## #----------------------------------------------------------------------------# # Arithmetic operations, etc. # #----------------------------------------------------------------------------# def mpf_rand(prec): """Return a raw mpf chosen randomly from [0, 1), with prec bits in the mantissa.""" global getrandbits if not getrandbits: import random getrandbits = random.getrandbits return from_man_exp(getrandbits(prec), -prec, prec, round_floor) def mpf_eq(s, t): """Test equality of two raw mpfs. This is simply tuple comparison unless either number is nan, in which case the result is False.""" if not s[1] or not t[1]: if s == fnan or t == fnan: return False return s == t def mpf_hash(s): # Duplicate the new hash algorithm introduces in Python 3.2. if sys.version_info >= (3, 2): ssign, sman, sexp, sbc = s # Handle special numbers if not sman: if s == fnan: return sys.hash_info.nan if s == finf: return sys.hash_info.inf if s == fninf: return -sys.hash_info.inf h = sman % HASH_MODULUS if sexp >= 0: sexp = sexp % HASH_BITS else: sexp = HASH_BITS - 1 - ((-1 - sexp) % HASH_BITS) h = (h << sexp) % HASH_MODULUS if ssign: h = -h if h == -1: h == -2 return int(h) else: try: # Try to be compatible with hash values for floats and ints return hash(to_float(s, strict=1)) except OverflowError: # We must unfortunately sacrifice compatibility with ints here. # We could do hash(man << exp) when the exponent is positive, but # this would cause unreasonable inefficiency for large numbers. return hash(s) def mpf_cmp(s, t): """Compare the raw mpfs s and t. Return -1 if s < t, 0 if s == t, and 1 if s > t. (Same convention as Python's cmp() function.)""" # In principle, a comparison amounts to determining the sign of s-t. # A full subtraction is relatively slow, however, so we first try to # look at the components. ssign, sman, sexp, sbc = s tsign, tman, texp, tbc = t # Handle zeros and special numbers if not sman or not tman: if s == fzero: return -mpf_sign(t) if t == fzero: return mpf_sign(s) if s == t: return 0 # Follow same convention as Python's cmp for float nan if t == fnan: return 1 if s == finf: return 1 if t == fninf: return 1 return -1 # Different sides of zero if ssign != tsign: if not ssign: return 1 return -1 # This reduces to direct integer comparison if sexp == texp: if sman == tman: return 0 if sman > tman: if ssign: return -1 else: return 1 else: if ssign: return 1 else: return -1 # Check position of the highest set bit in each number. If # different, there is certainly an inequality. a = sbc + sexp b = tbc + texp if ssign: if a < b: return 1 if a > b: return -1 else: if a < b: return -1 if a > b: return 1 # Both numbers have the same highest bit. Subtract to find # how the lower bits compare. delta = mpf_sub(s, t, 5, round_floor) if delta[0]: return -1 return 1 def mpf_lt(s, t): if s == fnan or t == fnan: return False return mpf_cmp(s, t) < 0 def mpf_le(s, t): if s == fnan or t == fnan: return False return mpf_cmp(s, t) <= 0 def mpf_gt(s, t): if s == fnan or t == fnan: return False return mpf_cmp(s, t) > 0 def mpf_ge(s, t): if s == fnan or t == fnan: return False return mpf_cmp(s, t) >= 0 def mpf_min_max(seq): min = max = seq[0] for x in seq[1:]: if mpf_lt(x, min): min = x if mpf_gt(x, max): max = x return min, max def mpf_pos(s, prec=0, rnd=round_fast): """Calculate 0+s for a raw mpf (i.e., just round s to the specified precision).""" if prec: sign, man, exp, bc = s if (not man) and exp: return s return normalize1(sign, man, exp, bc, prec, rnd) return s def mpf_neg(s, prec=None, rnd=round_fast): """Negate a raw mpf (return -s), rounding the result to the specified precision. The prec argument can be omitted to do the operation exactly.""" sign, man, exp, bc = s if not man: if exp: if s == finf: return fninf if s == fninf: return finf return s if not prec: return (1-sign, man, exp, bc) return normalize1(1-sign, man, exp, bc, prec, rnd) def mpf_abs(s, prec=None, rnd=round_fast): """Return abs(s) of the raw mpf s, rounded to the specified precision. The prec argument can be omitted to generate an exact result.""" sign, man, exp, bc = s if (not man) and exp: if s == fninf: return finf return s if not prec: if sign: return (0, man, exp, bc) return s return normalize1(0, man, exp, bc, prec, rnd) def mpf_sign(s): """Return -1, 0, or 1 (as a Python int, not a raw mpf) depending on whether s is negative, zero, or positive. (Nan is taken to give 0.)""" sign, man, exp, bc = s if not man: if s == finf: return 1 if s == fninf: return -1 return 0 return (-1) ** sign def mpf_add(s, t, prec=0, rnd=round_fast, _sub=0): """ Add the two raw mpf values s and t. With prec=0, no rounding is performed. Note that this can produce a very large mantissa (potentially too large to fit in memory) if exponents are far apart. """ ssign, sman, sexp, sbc = s tsign, tman, texp, tbc = t tsign ^= _sub # Standard case: two nonzero, regular numbers if sman and tman: offset = sexp - texp if offset: if offset > 0: # Outside precision range; only need to perturb if offset > 100 and prec: delta = sbc + sexp - tbc - texp if delta > prec + 4: offset = prec + 4 sman <<= offset if tsign == ssign: sman += 1 else: sman -= 1 return normalize1(ssign, sman, sexp-offset, bitcount(sman), prec, rnd) # Add if ssign == tsign: man = tman + (sman << offset) # Subtract else: if ssign: man = tman - (sman << offset) else: man = (sman << offset) - tman if man >= 0: ssign = 0 else: man = -man ssign = 1 bc = bitcount(man) return normalize1(ssign, man, texp, bc, prec or bc, rnd) elif offset < 0: # Outside precision range; only need to perturb if offset < -100 and prec: delta = tbc + texp - sbc - sexp if delta > prec + 4: offset = prec + 4 tman <<= offset if ssign == tsign: tman += 1 else: tman -= 1 return normalize1(tsign, tman, texp-offset, bitcount(tman), prec, rnd) # Add if ssign == tsign: man = sman + (tman << -offset) # Subtract else: if tsign: man = sman - (tman << -offset) else: man = (tman << -offset) - sman if man >= 0: ssign = 0 else: man = -man ssign = 1 bc = bitcount(man) return normalize1(ssign, man, sexp, bc, prec or bc, rnd) # Equal exponents; no shifting necessary if ssign == tsign: man = tman + sman else: if ssign: man = tman - sman else: man = sman - tman if man >= 0: ssign = 0 else: man = -man ssign = 1 bc = bitcount(man) return normalize(ssign, man, texp, bc, prec or bc, rnd) # Handle zeros and special numbers if _sub: t = mpf_neg(t) if not sman: if sexp: if s == t or tman or not texp: return s return fnan if tman: return normalize1(tsign, tman, texp, tbc, prec or tbc, rnd) return t if texp: return t if sman: return normalize1(ssign, sman, sexp, sbc, prec or sbc, rnd) return s def mpf_sub(s, t, prec=0, rnd=round_fast): """Return the difference of two raw mpfs, s-t. This function is simply a wrapper of mpf_add that changes the sign of t.""" return mpf_add(s, t, prec, rnd, 1) def mpf_sum(xs, prec=0, rnd=round_fast, absolute=False): """ Sum a list of mpf values efficiently and accurately (typically no temporary roundoff occurs). If prec=0, the final result will not be rounded either. There may be roundoff error or cancellation if extremely large exponent differences occur. With absolute=True, sums the absolute values. """ man = 0 exp = 0 max_extra_prec = prec*2 or 1000000 # XXX special = None for x in xs: xsign, xman, xexp, xbc = x if xman: if xsign and not absolute: xman = -xman delta = xexp - exp if xexp >= exp: # x much larger than existing sum? # first: quick test if (delta > max_extra_prec) and \ ((not man) or delta-bitcount(abs(man)) > max_extra_prec): man = xman exp = xexp else: man += (xman << delta) else: delta = -delta # x much smaller than existing sum? if delta-xbc > max_extra_prec: if not man: man, exp = xman, xexp else: man = (man << delta) + xman exp = xexp elif xexp: if absolute: x = mpf_abs(x) special = mpf_add(special or fzero, x, 1) # Will be inf or nan if special: return special return from_man_exp(man, exp, prec, rnd) def gmpy_mpf_mul(s, t, prec=0, rnd=round_fast): """Multiply two raw mpfs""" ssign, sman, sexp, sbc = s tsign, tman, texp, tbc = t sign = ssign ^ tsign man = sman*tman if man: bc = bitcount(man) if prec: return normalize1(sign, man, sexp+texp, bc, prec, rnd) else: return (sign, man, sexp+texp, bc) s_special = (not sman) and sexp t_special = (not tman) and texp if not s_special and not t_special: return fzero if fnan in (s, t): return fnan if (not tman) and texp: s, t = t, s if t == fzero: return fnan return {1:finf, -1:fninf}[mpf_sign(s) * mpf_sign(t)] def gmpy_mpf_mul_int(s, n, prec, rnd=round_fast): """Multiply by a Python integer.""" sign, man, exp, bc = s if not man: return mpf_mul(s, from_int(n), prec, rnd) if not n: return fzero if n < 0: sign ^= 1 n = -n man *= n return normalize(sign, man, exp, bitcount(man), prec, rnd) def python_mpf_mul(s, t, prec=0, rnd=round_fast): """Multiply two raw mpfs""" ssign, sman, sexp, sbc = s tsign, tman, texp, tbc = t sign = ssign ^ tsign man = sman*tman if man: bc = sbc + tbc - 1 bc += int(man>>bc) if prec: return normalize1(sign, man, sexp+texp, bc, prec, rnd) else: return (sign, man, sexp+texp, bc) s_special = (not sman) and sexp t_special = (not tman) and texp if not s_special and not t_special: return fzero if fnan in (s, t): return fnan if (not tman) and texp: s, t = t, s if t == fzero: return fnan return {1:finf, -1:fninf}[mpf_sign(s) * mpf_sign(t)] def python_mpf_mul_int(s, n, prec, rnd=round_fast): """Multiply by a Python integer.""" sign, man, exp, bc = s if not man: return mpf_mul(s, from_int(n), prec, rnd) if not n: return fzero if n < 0: sign ^= 1 n = -n man *= n # Generally n will be small if n < 1024: bc += bctable[int(n)] - 1 else: bc += bitcount(n) - 1 bc += int(man>>bc) return normalize(sign, man, exp, bc, prec, rnd) if BACKEND == 'gmpy': mpf_mul = gmpy_mpf_mul mpf_mul_int = gmpy_mpf_mul_int else: mpf_mul = python_mpf_mul mpf_mul_int = python_mpf_mul_int def mpf_shift(s, n): """Quickly multiply the raw mpf s by 2**n without rounding.""" sign, man, exp, bc = s if not man: return s return sign, man, exp+n, bc def mpf_frexp(x): """Convert x = y*2**n to (y, n) with abs(y) in [0.5, 1) if nonzero""" sign, man, exp, bc = x if not man: if x == fzero: return (fzero, 0) else: raise ValueError return mpf_shift(x, -bc-exp), bc+exp def mpf_div(s, t, prec, rnd=round_fast): """Floating-point division""" ssign, sman, sexp, sbc = s tsign, tman, texp, tbc = t if not sman or not tman: if s == fzero: if t == fzero: raise ZeroDivisionError if t == fnan: return fnan return fzero if t == fzero: raise ZeroDivisionError s_special = (not sman) and sexp t_special = (not tman) and texp if s_special and t_special: return fnan if s == fnan or t == fnan: return fnan if not t_special: if t == fzero: return fnan return {1:finf, -1:fninf}[mpf_sign(s) * mpf_sign(t)] return fzero sign = ssign ^ tsign if tman == 1: return normalize1(sign, sman, sexp-texp, sbc, prec, rnd) # Same strategy as for addition: if there is a remainder, perturb # the result a few bits outside the precision range before rounding extra = prec - sbc + tbc + 5 if extra < 5: extra = 5 quot, rem = divmod(sman< sexp+sbc: return s # Another important special case: this allows us to do e.g. x % 1.0 # to find the fractional part of x, and it will work when x is huge. if tman == 1 and sexp > texp+tbc: return fzero base = min(sexp, texp) sman = (-1)**ssign * sman tman = (-1)**tsign * tman man = (sman << (sexp-base)) % (tman << (texp-base)) if man >= 0: sign = 0 else: man = -man sign = 1 return normalize(sign, man, base, bitcount(man), prec, rnd) reciprocal_rnd = { round_down : round_up, round_up : round_down, round_floor : round_ceiling, round_ceiling : round_floor, round_nearest : round_nearest } negative_rnd = { round_down : round_down, round_up : round_up, round_floor : round_ceiling, round_ceiling : round_floor, round_nearest : round_nearest } def mpf_pow_int(s, n, prec, rnd=round_fast): """Compute s**n, where s is a raw mpf and n is a Python integer.""" sign, man, exp, bc = s if (not man) and exp: if s == finf: if n > 0: return s if n == 0: return fnan return fzero if s == fninf: if n > 0: return [finf, fninf][n & 1] if n == 0: return fnan return fzero return fnan n = int(n) if n == 0: return fone if n == 1: return mpf_pos(s, prec, rnd) if n == 2: _, man, exp, bc = s if not man: return fzero man = man*man if man == 1: return (0, MPZ_ONE, exp+exp, 1) bc = bc + bc - 2 bc += bctable[int(man>>bc)] return normalize1(0, man, exp+exp, bc, prec, rnd) if n == -1: return mpf_div(fone, s, prec, rnd) if n < 0: inverse = mpf_pow_int(s, -n, prec+5, reciprocal_rnd[rnd]) return mpf_div(fone, inverse, prec, rnd) result_sign = sign & n # Use exact integer power when the exact mantissa is small if man == 1: return (result_sign, MPZ_ONE, exp*n, 1) if bc*n < 1000: man **= n return normalize1(result_sign, man, exp*n, bitcount(man), prec, rnd) # Use directed rounding all the way through to maintain rigorous # bounds for interval arithmetic rounds_down = (rnd == round_nearest) or \ shifts_down[rnd][result_sign] # Now we perform binary exponentiation. Need to estimate precision # to avoid rounding errors from temporary operations. Roughly log_2(n) # operations are performed. workprec = prec + 4*bitcount(n) + 4 _, pm, pe, pbc = fone while 1: if n & 1: pm = pm*man pe = pe+exp pbc += bc - 2 pbc = pbc + bctable[int(pm >> pbc)] if pbc > workprec: if rounds_down: pm = pm >> (pbc-workprec) else: pm = -((-pm) >> (pbc-workprec)) pe += pbc - workprec pbc = workprec n -= 1 if not n: break man = man*man exp = exp+exp bc = bc + bc - 2 bc = bc + bctable[int(man >> bc)] if bc > workprec: if rounds_down: man = man >> (bc-workprec) else: man = -((-man) >> (bc-workprec)) exp += bc - workprec bc = workprec n = n // 2 return normalize(result_sign, pm, pe, pbc, prec, rnd) def mpf_perturb(x, eps_sign, prec, rnd): """ For nonzero x, calculate x + eps with directed rounding, where eps < prec relatively and eps has the given sign (0 for positive, 1 for negative). With rounding to nearest, this is taken to simply normalize x to the given precision. """ if rnd == round_nearest: return mpf_pos(x, prec, rnd) sign, man, exp, bc = x eps = (eps_sign, MPZ_ONE, exp+bc-prec-1, 1) if sign: away = (rnd in (round_down, round_ceiling)) ^ eps_sign else: away = (rnd in (round_up, round_ceiling)) ^ eps_sign if away: return mpf_add(x, eps, prec, rnd) else: return mpf_pos(x, prec, rnd) #----------------------------------------------------------------------------# # Radix conversion # #----------------------------------------------------------------------------# def to_digits_exp(s, dps): """Helper function for representing the floating-point number s as a decimal with dps digits. Returns (sign, string, exponent) where sign is '' or '-', string is the digit string, and exponent is the decimal exponent as an int. If inexact, the decimal representation is rounded toward zero.""" # Extract sign first so it doesn't mess up the string digit count if s[0]: sign = '-' s = mpf_neg(s) else: sign = '' _sign, man, exp, bc = s if not man: return '', '0', 0 bitprec = int(dps * math.log(10,2)) + 10 # Cut down to size # TODO: account for precision when doing this exp_from_1 = exp + bc if abs(exp_from_1) > 3500: from .libelefun import mpf_ln2, mpf_ln10 # Set b = int(exp * log(2)/log(10)) # If exp is huge, we must use high-precision arithmetic to # find the nearest power of ten expprec = bitcount(abs(exp)) + 5 tmp = from_int(exp) tmp = mpf_mul(tmp, mpf_ln2(expprec)) tmp = mpf_div(tmp, mpf_ln10(expprec), expprec) b = to_int(tmp) s = mpf_div(s, mpf_pow_int(ften, b, bitprec), bitprec) _sign, man, exp, bc = s exponent = b else: exponent = 0 # First, calculate mantissa digits by converting to a binary # fixed-point number and then converting that number to # a decimal fixed-point number. fixprec = max(bitprec - exp - bc, 0) fixdps = int(fixprec / math.log(10,2) + 0.5) sf = to_fixed(s, fixprec) sd = bin_to_radix(sf, fixprec, 10, fixdps) digits = numeral(sd, base=10, size=dps) exponent += len(digits) - fixdps - 1 return sign, digits, exponent def to_str(s, dps, strip_zeros=True, min_fixed=None, max_fixed=None, show_zero_exponent=False): """ Convert a raw mpf to a decimal floating-point literal with at most `dps` decimal digits in the mantissa (not counting extra zeros that may be inserted for visual purposes). The number will be printed in fixed-point format if the position of the leading digit is strictly between min_fixed (default = min(-dps/3,-5)) and max_fixed (default = dps). To force fixed-point format always, set min_fixed = -inf, max_fixed = +inf. To force floating-point format, set min_fixed >= max_fixed. The literal is formatted so that it can be parsed back to a number by to_str, float() or Decimal(). """ # Special numbers if not s[1]: if s == fzero: if dps: t = '0.0' else: t = '.0' if show_zero_exponent: t += 'e+0' return t if s == finf: return '+inf' if s == fninf: return '-inf' if s == fnan: return 'nan' raise ValueError if min_fixed is None: min_fixed = min(-(dps//3), -5) if max_fixed is None: max_fixed = dps # to_digits_exp rounds to floor. # This sometimes kills some instances of "...00001" sign, digits, exponent = to_digits_exp(s, dps+3) # No digits: show only .0; round exponent to nearest if not dps: if digits[0] in '56789': exponent += 1 digits = ".0" else: # Rounding up kills some instances of "...99999" if len(digits) > dps and digits[dps] in '56789': digits = digits[:dps] i = dps - 1 while i >= 0 and digits[i] == '9': i -= 1 if i >= 0: digits = digits[:i] + str(int(digits[i]) + 1) + '0' * (dps - i - 1) else: digits = '1' + '0' * (dps - 1) exponent += 1 else: digits = digits[:dps] # Prettify numbers close to unit magnitude if min_fixed < exponent < max_fixed: if exponent < 0: digits = ("0"*int(-exponent)) + digits split = 1 else: split = exponent + 1 if split > dps: digits += "0"*(split-dps) exponent = 0 else: split = 1 digits = (digits[:split] + "." + digits[split:]) if strip_zeros: # Clean up trailing zeros digits = digits.rstrip('0') if digits[-1] == ".": digits += "0" if exponent == 0 and dps and not show_zero_exponent: return sign + digits if exponent >= 0: return sign + digits + "e+" + str(exponent) if exponent < 0: return sign + digits + "e" + str(exponent) def str_to_man_exp(x, base=10): """Helper function for from_str.""" x = x.lower().rstrip('l') # Verify that the input is a valid float literal float(x) # Split into mantissa, exponent parts = x.split('e') if len(parts) == 1: exp = 0 else: # == 2 x = parts[0] exp = int(parts[1]) # Look for radix point in mantissa parts = x.split('.') if len(parts) == 2: a, b = parts[0], parts[1].rstrip('0') exp -= len(b) x = a + b x = MPZ(int(x, base)) return x, exp special_str = {'inf':finf, '+inf':finf, '-inf':fninf, 'nan':fnan} def from_str(x, prec, rnd=round_fast): """Create a raw mpf from a decimal literal, rounding in the specified direction if the input number cannot be represented exactly as a binary floating-point number with the given number of bits. The literal syntax accepted is the same as for Python floats. TODO: the rounding does not work properly for large exponents. """ x = x.lower().strip() if x in special_str: return special_str[x] if '/' in x: p, q = x.split('/') p, q = p.rstrip('l'), q.rstrip('l') return from_rational(int(p), int(q), prec, rnd) man, exp = str_to_man_exp(x, base=10) # XXX: appropriate cutoffs & track direction # note no factors of 5 if abs(exp) > 400: s = from_int(man, prec+10) s = mpf_mul(s, mpf_pow_int(ften, exp, prec+10), prec, rnd) else: if exp >= 0: s = from_int(man * 10**exp, prec, rnd) else: s = from_rational(man, 10**-exp, prec, rnd) return s # Binary string conversion. These are currently mainly used for debugging # and could use some improvement in the future def from_bstr(x): man, exp = str_to_man_exp(x, base=2) man = MPZ(man) sign = 0 if man < 0: man = -man sign = 1 bc = bitcount(man) return normalize(sign, man, exp, bc, bc, round_floor) def to_bstr(x): sign, man, exp, bc = x return ['','-'][sign] + numeral(man, size=bitcount(man), base=2) + ("e%i" % exp) #----------------------------------------------------------------------------# # Square roots # #----------------------------------------------------------------------------# def mpf_sqrt(s, prec, rnd=round_fast): """ Compute the square root of a nonnegative mpf value. The result is correctly rounded. """ sign, man, exp, bc = s if sign: raise ComplexResult("square root of a negative number") if not man: return s if exp & 1: exp -= 1 man <<= 1 bc += 1 elif man == 1: return normalize1(sign, man, exp//2, bc, prec, rnd) shift = max(4, 2*prec-bc+4) shift += shift & 1 if rnd in 'fd': man = isqrt(man<