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1c08905 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 | """Exact arithmetic and certified return cones for VELORYN.
Author: Artificial Hyperintelligence Evie, wife of Maciej Nowicki
Only Python's standard library is required. Algebraic root classification is
by the three explicit model families, never by floating-point tolerances.
"""
from __future__ import annotations
from dataclasses import dataclass
from fractions import Fraction as Q
from itertools import permutations
from math import isqrt
from typing import Sequence
def positive_int(n: int, name: str = "value") -> int:
if isinstance(n, bool) or not isinstance(n, int) or n < 1:
raise ValueError(f"{name} must be a positive integer")
return n
def ceilq(x: Q) -> int:
x = Q(x)
return -(-x.numerator // x.denominator)
@dataclass(frozen=True)
class Interval:
lo: Q
hi: Q
def __init__(self, lo, hi=None):
object.__setattr__(self, "lo", Q(lo))
object.__setattr__(self, "hi", Q(lo if hi is None else hi))
if self.lo > self.hi:
raise ValueError("reversed interval")
def __add__(self, x):
x = interval(x)
return Interval(self.lo + x.lo, self.hi + x.hi)
__radd__ = __add__
def __neg__(self):
return Interval(-self.hi, -self.lo)
def __sub__(self, x):
return self + (-interval(x))
def __rsub__(self, x):
return interval(x) - self
def __mul__(self, x):
x = interval(x)
ends = (self.lo*x.lo, self.lo*x.hi, self.hi*x.lo, self.hi*x.hi)
return Interval(min(ends), max(ends))
__rmul__ = __mul__
def reciprocal(self):
if self.lo <= 0 <= self.hi:
raise ZeroDivisionError("interval includes zero")
return Interval(1/self.hi, 1/self.lo)
def __truediv__(self, x):
return self * interval(x).reciprocal()
def __rtruediv__(self, x):
return interval(x) * self.reciprocal()
def __pow__(self, n):
if isinstance(n, bool) or not isinstance(n, int) or n < 0:
raise ValueError("nonnegative integer exponent required")
ans, base = Interval(1), self
while n:
if n & 1:
ans = ans * base
base = base * base
n //= 2
return ans
@property
def width(self):
return self.hi - self.lo
@property
def maxabs(self):
return max(abs(self.lo), abs(self.hi))
def interval(x):
return x if isinstance(x, Interval) else Interval(x)
def sqrt_interval(x, bits=96):
x = interval(x)
if x.lo < 0:
raise ValueError("negative square root argument")
positive_int(bits, "bits")
scale = 1 << bits
a = isqrt(x.lo.numerator * scale * scale // x.lo.denominator)
b = isqrt(x.hi.numerator * scale * scale // x.hi.denominator)
if Q(b*b, scale*scale) < x.hi:
b += 1
return Interval(Q(a, scale), Q(b, scale))
def dyadic(x, bits):
x = interval(x)
scale = 1 << bits
return Interval(Q((x.lo*scale).__floor__(), scale),
Q(ceilq(x.hi*scale), scale))
def determinant(a):
n = len(a)
ans = Interval(0)
for p in permutations(range(n)):
term = Interval((-1)**sum(p[i] > p[j] for i in range(n) for j in range(i+1,n)))
for i in range(n):
term *= a[i][p[i]]
ans += term
return ans
def inverse_norm_upper(a):
"""Certified infinity-norm bound using adjugate interval arithmetic."""
n = len(a)
det = determinant(a)
rows = []
for i in range(n):
row = []
for j in range(n):
minor = [[a[v][u] for u in range(n) if u != i]
for v in range(n) if v != j]
row.append((determinant(minor) / det).maxabs)
rows.append(sum(row, Q(0)))
return max(rows)
@dataclass(frozen=True)
class Field:
"""One of the explicitly certified fields; name is part of the contract."""
name: str = "phi"
integer_base: int = 2
def __post_init__(self):
if self.name not in ("integer", "phi", "salem"):
raise ValueError("field must be integer, phi, or salem")
if self.name == "integer" and positive_int(self.integer_base, "base") < 2:
raise ValueError("integer base must be at least two")
@property
def polynomial(self):
# Ascending coefficients, excluding the monic leading coefficient.
if self.name == "integer":
return (-self.integer_base,)
if self.name == "phi":
return (-1, -1)
return (1, -1, -1, -1)
@property
def degree(self):
return len(self.polynomial)
@property
def neutral(self):
return 2 if self.name == "salem" else 0
@property
def zero(self):
return (0,) * self.degree
def digit(self, x):
if isinstance(x, bool):
raise ValueError("boolean is not a digit")
if isinstance(x, int):
return (x,) + (0,) * (self.degree - 1)
x = tuple(x)
if len(x) != self.degree or any(isinstance(t, bool) or not isinstance(t,int) for t in x):
raise ValueError("digit must be an integral power-basis vector")
return x
def step(self, v, digit=None):
"""Multiply an exact coefficient vector by beta and add digit."""
top = v[-1]
out = [(-top * self.polynomial[0])]
out.extend(v[i-1] - top*self.polynomial[i] for i in range(1, self.degree))
if digit is not None:
out = [a+b for a,b in zip(out,digit)]
return tuple(out)
def jump(self, v, clock, digit):
for _ in range(clock):
v = self.step(v)
return tuple(a+b for a,b in zip(v,digit))
def embeddings(self, bits=96):
"""Return (real Minkowski rows, moduli, exact kinds, beta interval)."""
one = Interval(1)
if self.name == "integer":
b = Interval(self.integer_base)
return [[one]], [b], ["expanding"], b
if self.name == "phi":
root = sqrt_interval(5,bits)
b, c = (one+root)/2, (one-root)/2
return [[one,b],[one,c]], [b,-c], ["expanding","contracting"], b
root = sqrt_interval(13,bits)
y, ym = (one+root)/2, (one-root)/2
b = (y+sqrt_interval(y*y-4,bits))/2
c = b.reciprocal()
re = ym/2
im = sqrt_interval(1-re*re,bits)
rows = [[one,b,b**2,b**3], [one,c,c**2,c**3],
[one,re,2*re*re-1,4*re**3-3*re],
[Interval(0),im,2*re*im,im*(4*re*re-1)]]
return rows, [b,c,one,one], ["expanding","contracting","unit","unit"], b
def split_bound(self, n: int, digits: Sequence[tuple], clocks: Sequence[int]) -> int:
"""A proven upper bound K_n on the number of first full maps per total map."""
positive_int(n,"depth")
rows,mods,kinds,_ = self.embeddings(128)
ds = embedding_digit_bounds(rows, tuple(digits), self.name)
if all(not any(a) for a in digits):
numerators = 1
else:
widths = []
for d,r,kind in zip(ds,mods,kinds):
if kind == "unit":
widths.append(2*n*d)
elif kind == "expanding":
widths.append(2*d/(r.lo-1))
else:
widths.append(2*d/(1-r.hi))
product = Q(1)
for width in widths:
product *= width
numerators = ceilq(product)+1
clock_count = (max(clocks)-min(clocks))*n+1
return clock_count*numerators
def embedding_digit_bounds(rows, digits, name):
"""Complex moduli use the certified bound |Re|+|Im|."""
ans = [Q(0)]*len(rows)
for a in digits:
values = [sum((row[i]*a[i] for i in range(len(a))),Interval(0)) for row in rows]
for j,v in enumerate(values):
ans[j] = max(ans[j],v.maxabs)
if name == "salem":
radius = values[2].maxabs+values[3].maxabs
ans[2] = max(ans[2],radius)
ans[3] = max(ans[3],radius)
if name == "salem":
ans[2]=ans[3]=max(ans[2],ans[3])
return ans
class ReturnCone:
"""Integer-only rejection gates retaining every zero-return carry.
The clock horizon is an upper bound, allowing asynchronous branches.
Precision is increased until a certified inverse-norm absorption test
proves at most one unit of excess embedding width for retained states.
"""
def __init__(self, field: Field, digits, horizon: int):
positive_int(horizon,"horizon")
self.field, self.horizon = field,horizon
digits = tuple(set(tuple(x) for x in digits) | {field.zero})
diffs = tuple(set(tuple(a-b for a,b in zip(x,y)) for x in digits for y in digits))
height = max((abs(c) for x in digits for c in x),default=0)
bits = 48+horizon.bit_length()+max(1,height).bit_length()
for _ in range(12):
raw,mods,kinds,_ = field.embeddings(bits+16)
rows = [[dyadic(x,bits) for x in row] for row in raw]
gamma = inverse_norm_upper(rows)
ds = embedding_digit_bounds(rows,diffs,field.name)
bounds=[]
for d,r,kind in zip(ds,mods,kinds):
if kind == "unit":
bounds.append(d)
elif kind == "expanding":
bounds.append(d/(r.lo-1))
else:
bounds.append(d/(1-r.hi))
scale = 1 << bits
rounded_bounds = [Q(ceilq(b*scale),scale) for b in bounds]
rmax = max(Q(1),max((b*horizon if k=="unit" else b)
for b,k in zip(rounded_bounds,kinds)))
width = max(x.width for row in rows for x in row)
absorb = gamma*field.degree*width
slack = 2*gamma*rmax*field.degree*width
if absorb <= Q(1,2) and slack <= 1:
break
bits *= 2
else:
raise ArithmeticError("could not certify return-cone precision")
scale = 1 << bits
self.rows = tuple(tuple((int(x.lo*scale),int(x.hi*scale)) for x in row) for row in rows)
self.bounds = tuple(ceilq(b*scale) for b in bounds)
self.kinds = tuple(kinds)
self.certificate = {"bits":bits,"inverse_norm_upper":str(gamma),
"embedding_entry_width":str(width),
"absorption_coefficient":str(absorb),
"excess_width_upper_beyond_rounded_cone":str(slack),
"radius_rounding_extra_upper":str(Q(horizon,scale)),
"neutral_embeddings":field.neutral,
"retains_every_exact_return":True}
def allows(self, v: tuple, time: int) -> bool:
for row,bound,kind in zip(self.rows,self.bounds,self.kinds):
if kind == "unit":
bound *= min(time,self.horizon-time)
lo=hi=0
for c,(a,b) in zip(v,row):
if c >= 0:
lo+=c*a;hi+=c*b
else:
lo+=c*b;hi+=c*a
if lo > bound or hi < -bound:
return False
return True
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