Datasets:
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
mathematics
theoretical-computer-science
permutation-parity
monotone-computation
deletion-only-memory
reproducible-research
File size: 7,517 Bytes
c05989c | 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 | """Order-Selective Erasure Calculus (OSEC), finite reference implementation.
Only integer bit masks and exact Boolean operations are used. An action never
creates a token. The universal/permutation theorems concern distinct-action
words; this implementation rejects repeated actions in its protocol runner.
The erasers themselves are defined on every subset, including off-protocol ones.
"""
from __future__ import annotations
from dataclasses import dataclass
from itertools import combinations, permutations
from typing import Iterable, Iterator, Sequence
def sign(word: Sequence[int]) -> int:
"""Sign of the relative ordering of distinct, comparable labels."""
if len(set(word)) != len(word):
raise ValueError("Permutation labels must be distinct.")
return -1 if sum(a > b for k, a in enumerate(word) for b in word[k+1:]) % 2 else 1
def parity_combine(left: tuple[bool, bool], right: tuple[bool, bool]) -> tuple[bool, bool]:
"""Dual-rail XOR using AND/OR only. Rails mean 'even/odd is possible'."""
e, o = left
f, p = right
return (e and f) or (o and p), (e and p) or (o and f)
def parity_reduce(rails: Sequence[tuple[bool, bool]]) -> tuple[bool, bool]:
"""Balanced Boolean circuit; 6(q-1) binary gates for q >= 1 pairs."""
if not rails:
return True, False
level = list(rails)
while len(level) > 1:
nxt = [parity_combine(level[j], level[j+1]) for j in range(0, len(level)-1, 2)]
if len(level) % 2:
nxt.append(level[-1])
level = nxt
return level[0]
@dataclass(frozen=True)
class ErasureSystem:
"""m independent n-label blocks. Each block has n markers and n(n-1) rails."""
n: int = 3
blocks: int = 1
def __post_init__(self) -> None:
if not isinstance(self.n, int) or isinstance(self.n, bool) or self.n < 2:
raise ValueError("n must be an integer >= 2.")
if not isinstance(self.blocks, int) or isinstance(self.blocks, bool) or self.blocks < 1:
raise ValueError("blocks must be an integer >= 1.")
@property
def cells(self) -> int:
return self.blocks * self.n * self.n
@property
def action_count(self) -> int:
return self.blocks * self.n
@property
def pair_count(self) -> int:
return self.blocks * self.n * (self.n-1) // 2
@property
def full(self) -> int:
return (1 << self.cells) - 1
@property
def actions(self) -> tuple[tuple[int, int], ...]:
return tuple((b, i) for b in range(self.blocks) for i in range(self.n))
def _check_label(self, b: int, i: int) -> None:
if not 0 <= b < self.blocks or not 0 <= i < self.n:
raise ValueError("Invalid block or action label.")
def marker(self, b: int, i: int) -> int:
self._check_label(b, i)
return 1 << (b*self.n*self.n + i)
def rail(self, b: int, i: int, j: int) -> int:
self._check_label(b, i)
self._check_label(b, j)
if i == j:
raise ValueError("An order rail needs two different labels.")
j_index = j if j < i else j-1
return 1 << (b*self.n*self.n + self.n + i*(self.n-1) + j_index)
def erase(self, state: int, action: tuple[int, int]) -> int:
"""E_i(S) removes c_i and r_ij for each absent marker c_j.
Guards are evaluated on the input state. All removals are simultaneous.
"""
if not isinstance(state, int) or isinstance(state, bool) or state < 0 or state & ~self.full:
raise ValueError("State is not a valid subset of this universe.")
b, i = action
self._check_label(b, i)
kill = self.marker(b, i)
for j in range(self.n):
if j != i and not state & self.marker(b, j):
kill |= self.rail(b, i, j)
return state & ~kill
@staticmethod
def flush(state: int) -> int:
"""A common terminal eraser. No log or observer memory is preserved."""
return 0
def run(self, word: Sequence[tuple[int, int]], *, flush: bool = False) -> list[int]:
if len(set(word)) != len(word):
raise ValueError("The certified protocol uses each action at most once.")
trace = [self.full]
for action in word:
trace.append(self.erase(trace[-1], action))
if flush:
trace.append(0)
return trace
def parity_rails(self, state: int) -> tuple[bool, bool]:
return parity_reduce([
(bool(state & self.rail(b, i, j)), bool(state & self.rail(b, j, i)))
for b in range(self.blocks) for i in range(self.n) for j in range(i+1, self.n)
])
def observe(self, state: int, orientation: int = 1) -> bool:
if orientation not in (-1, 1):
raise ValueError("orientation is +1 or -1.")
return self.parity_rails(state)[0 if orientation == 1 else 1]
def extinction(self, word: Sequence[tuple[int, int]], orientation: int = 1) -> int | None:
"""First false readout, with a common flush appended (time zero included)."""
for k, state in enumerate(self.run(word, flush=True)):
if not self.observe(state, orientation):
return k
return None
def induced_sign(self, word: Sequence[tuple[int, int]]) -> int:
if len(set(word)) != len(word):
raise ValueError("Repeated actions are outside the certified protocol.")
product = 1
for b in range(self.blocks):
product *= sign([i for block, i in word if block == b])
return product
def saturated(self, local_orders: Sequence[Sequence[int]]) -> int:
if len(local_orders) != self.blocks:
raise ValueError("One local ordering is required per block.")
state = 0
for b, order in enumerate(local_orders):
if sorted(order) != list(range(self.n)):
raise ValueError("A local ordering must be a permutation of range(n).")
for k, i in enumerate(order):
for j in order[k+1:]:
state |= self.rail(b, i, j)
return state
def chain_certificate(self, local_orders: Sequence[Sequence[int]]) -> int:
if len(local_orders) != self.blocks:
raise ValueError("One local ordering is required per block.")
state = 0
for b, order in enumerate(local_orders):
if sorted(order) != list(range(self.n)):
raise ValueError("Invalid local permutation.")
for i, j in zip(order, order[1:]):
state |= self.rail(b, i, j)
return state
def describe(self, state: int) -> list[str]:
tokens = []
for b in range(self.blocks):
for i in range(self.n):
if state & self.marker(b, i):
tokens.append(f"c[{b},{i}]")
for i in range(self.n):
for j in range(self.n):
if i != j and state & self.rail(b, i, j):
tokens.append(f"r[{b},{i}<{j}]")
return tokens
def all_distinct_words(actions: Sequence[tuple[int, int]]) -> Iterator[tuple[tuple[int, int], ...]]:
for k in range(len(actions)+1):
yield from permutations(actions, k)
def is_subsequence(word: Sequence[int], order: Sequence[int]) -> bool:
it = iter(order)
return all(any(x == y for y in it) for x in word)
def dnf_value(state: int, terms: Iterable[int]) -> bool:
return any(state & term == term for term in terms)
|