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MathIR linear v0 is intentionally narrower than ordinary mathematical text.
The model emits a semicolon-separated sequence of equation transformations,
for example ``sub(b);div(a)``. Every command is applied to both sides of the
current equation and exact rational normalization happens after every step.
The validator and canonicalizer share one execution path: a canonical strategy
key is produced only from the normalized states created by a successful
execution. There is no parser for prose, LaTeX derivations, Python, or a
model-supplied final answer.
"""
from __future__ import annotations
from collections import Counter
from dataclasses import dataclass
from fractions import Fraction
from itertools import permutations
import re
from typing import Any, Iterable, Mapping
import sympy
MATHIR_VERIFIER = "mathir_algebra"
MATHIR_VERSION = "linear-v0"
MATHIR_MENU_VERIFIER = "mathir_action_menu"
MATHIR_MENU_VERSION = "linear-menu-v1"
MATHIR_ROUTE_VERSION = "linear-route-v1"
_MAX_REFERENCE_SYMBOLS = 6
_MAX_PROGRAM_STEPS = 4
_MAX_PROGRAM_CHARS = 160
_MAX_ARGUMENT_NODES = 11
_MAX_ARGUMENT_DEPTH = 6
_MAX_MENU_ACTIONS = 8
_MODEL_OPERATORS = frozenset({"add", "sub", "mul", "div", "neg"})
_COMMANDS = frozenset({"add", "sub", "mul", "div"})
_TOKEN_RE = re.compile(r"[A-Za-z][A-Za-z0-9_]*|[(),;]")
_MENU_ACTION_RE = re.compile(r"[A-H]")
@dataclass(frozen=True)
class Expr:
"""A bounded MathIR expression.
``const`` nodes are interpreter-internal exact rationals. The model-side
parser never accepts numeric literals.
"""
op: str
args: tuple["Expr", ...] = ()
value: str | Fraction | None = None
@dataclass(frozen=True)
class Command:
op: str
argument: Expr
@dataclass(frozen=True)
class EquationState:
lhs: Expr
rhs: Expr
@dataclass(frozen=True)
class MathIRValidation:
canonical_key: str
solution: Fraction
commands: tuple[Command, ...]
states: tuple[EquationState, ...]
action_ids: tuple[str, ...] = ()
route_signature: str = ""
class MathIRError(ValueError):
"""Raised for a malformed or invalid MathIR program."""
class _ExpressionParser:
def __init__(
self,
tokens: list[str],
*,
allowed_symbols: frozenset[str],
allow_constants: bool,
) -> None:
self.tokens = tokens
self.index = 0
self.allowed_symbols = allowed_symbols
self.allow_constants = bool(allow_constants)
def _take(self, expected: str | None = None) -> str:
if self.index >= len(self.tokens):
raise MathIRError("unexpected end of expression")
token = self.tokens[self.index]
if expected is not None and token != expected:
raise MathIRError(f"expected {expected!r}")
self.index += 1
return token
def parse(self, *, depth: int = 0) -> Expr:
if depth > _MAX_ARGUMENT_DEPTH:
raise MathIRError("expression nesting is too deep")
token = self._take()
if token in {"(", ")", ",", ";"}:
raise MathIRError("expected a symbol or operator")
if self.index < len(self.tokens) and self.tokens[self.index] == "(":
if token not in _MODEL_OPERATORS:
raise MathIRError(f"unsupported operator {token!r}")
self._take("(")
first = self.parse(depth=depth + 1)
if token == "neg":
self._take(")")
return Expr("neg", (first,))
self._take(",")
second = self.parse(depth=depth + 1)
self._take(")")
return Expr(token, (first, second))
if token in self.allowed_symbols:
return Expr("symbol", value=token)
if self.allow_constants and re.fullmatch(r"-?\d+(?:/\d+)?", token):
return Expr("const", value=Fraction(token))
raise MathIRError(f"unknown symbol {token!r}")
def _tokenize(text: str) -> list[str]:
compact = re.sub(r"\s+", "", str(text))
if not compact:
raise MathIRError("empty MathIR text")
tokens = _TOKEN_RE.findall(compact)
if "".join(tokens) != compact:
raise MathIRError("unsupported MathIR character or numeric literal")
return tokens
def parse_mathir_expression(
text: str,
*,
allowed_symbols: Iterable[str],
) -> Expr:
"""Parse one model-authored expression without using Python evaluation."""
tokens = _tokenize(text)
parser = _ExpressionParser(
tokens,
allowed_symbols=frozenset(str(symbol) for symbol in allowed_symbols),
allow_constants=False,
)
expression = parser.parse()
if parser.index != len(tokens):
raise MathIRError("trailing expression tokens")
if _expr_node_count(expression) > _MAX_ARGUMENT_NODES:
raise MathIRError("expression is too large")
return expression
def _parse_trusted_expression(
text: str,
*,
allowed_symbols: Iterable[str],
) -> Expr:
"""Parse a dataset-owned formal expression.
Dataset expressions currently use no constants, but this separate entry
point makes the trust boundary explicit and permits exact rationals if a
later, versioned reference schema needs them.
"""
tokens = _tokenize(text)
parser = _ExpressionParser(
tokens,
allowed_symbols=frozenset(str(symbol) for symbol in allowed_symbols),
allow_constants=True,
)
expression = parser.parse()
if parser.index != len(tokens):
raise MathIRError("trailing trusted-expression tokens")
if _expr_node_count(expression) > 31:
raise MathIRError("trusted expression is too large")
return expression
def parse_mathir_program(
text: str,
*,
allowed_symbols: Iterable[str],
max_steps: int,
) -> tuple[Command, ...]:
"""Parse a bounded sequence such as ``sub(b);div(a)``."""
compact = re.sub(r"\s+", "", str(text))
if not compact or len(compact) > _MAX_PROGRAM_CHARS:
raise MathIRError("program is empty or too long")
# A final statement terminator is surface formatting, not a new action.
compact = compact[:-1] if compact.endswith(";") else compact
if not compact or compact.startswith(";") or ";;" in compact:
raise MathIRError("empty program command")
command_texts = compact.split(";")
if not 1 <= len(command_texts) <= int(max_steps):
raise MathIRError("program has an invalid number of commands")
commands: list[Command] = []
for command_text in command_texts:
match = re.fullmatch(r"([A-Za-z][A-Za-z0-9_]*)\((.*)\)", command_text)
if match is None:
raise MathIRError("commands must use op(expression) syntax")
op, argument_text = match.groups()
if op not in _COMMANDS:
raise MathIRError(f"unsupported command {op!r}")
argument = parse_mathir_expression(
argument_text,
allowed_symbols=allowed_symbols,
)
commands.append(Command(op, argument))
return tuple(commands)
def _expr_node_count(expression: Expr) -> int:
return 1 + sum(_expr_node_count(argument) for argument in expression.args)
def _expr_symbols(expression: Expr) -> set[str]:
if expression.op == "symbol":
assert isinstance(expression.value, str)
return {expression.value}
return set().union(*(_expr_symbols(argument) for argument in expression.args), set())
def _fraction_from_reference(value: Any) -> Fraction:
if isinstance(value, bool):
raise MathIRError("boolean binding")
if isinstance(value, int):
return Fraction(value, 1)
if isinstance(value, str) and re.fullmatch(r"-?\d+(?:/[1-9]\d*)?", value.strip()):
return Fraction(value.strip())
raise MathIRError("bindings must be exact integers or rational strings")
def _expr_to_sympy(expression: Expr) -> sympy.Expr:
if expression.op == "symbol":
assert isinstance(expression.value, str)
return sympy.Symbol(expression.value)
if expression.op == "const":
assert isinstance(expression.value, Fraction)
return sympy.Rational(expression.value.numerator, expression.value.denominator)
converted = tuple(_expr_to_sympy(argument) for argument in expression.args)
if expression.op == "add":
return converted[0] + converted[1]
if expression.op == "sub":
return converted[0] - converted[1]
if expression.op == "mul":
return converted[0] * converted[1]
if expression.op == "div":
return converted[0] / converted[1]
if expression.op == "neg":
return -converted[0]
if expression.op == "inv":
return sympy.Integer(1) / converted[0]
raise MathIRError(f"unsupported internal expression {expression.op!r}")
def _fold(op: str, arguments: tuple[Expr, ...]) -> Expr:
if not arguments:
return Expr("const", value=Fraction(0 if op == "add" else 1, 1))
result = arguments[0]
for argument in arguments[1:]:
result = Expr(op, (result, argument))
return result
def _expr_from_sympy(expression: sympy.Expr) -> Expr:
if expression.is_Symbol:
return Expr("symbol", value=str(expression))
if expression.is_Rational:
return Expr(
"const",
value=Fraction(int(expression.p), int(expression.q)),
)
if expression.is_Add:
return _fold(
"add",
tuple(_expr_from_sympy(argument) for argument in expression.args),
)
if expression.is_Mul:
return _fold(
"mul",
tuple(_expr_from_sympy(argument) for argument in expression.args),
)
if expression.is_Pow and expression.exp == -1:
return Expr("inv", (_expr_from_sympy(expression.base),))
raise MathIRError(f"normalizer produced unsupported expression {expression!r}")
def _normalize_expr(expression: Expr) -> Expr:
symbolic = _expr_to_sympy(expression)
normalized = sympy.cancel(symbolic)
return _expr_from_sympy(normalized)
def _canonical_parts(expression: Expr) -> tuple[str, ...]:
if expression.op not in {"add", "mul"}:
return (_canonical_expr(expression),)
parts: list[str] = []
for argument in expression.args:
converted = _canonicalized_expr(argument)
if converted.op == expression.op:
parts.extend(_canonical_parts(converted))
else:
parts.append(_canonical_expr(converted))
return tuple(sorted(parts))
def _canonicalized_expr(expression: Expr) -> Expr:
if expression.op == "sub":
return Expr(
"add",
(
_canonicalized_expr(expression.args[0]),
Expr("neg", (_canonicalized_expr(expression.args[1]),)),
),
)
if expression.op == "div":
return Expr(
"mul",
(
_canonicalized_expr(expression.args[0]),
Expr("inv", (_canonicalized_expr(expression.args[1]),)),
),
)
return Expr(
expression.op,
tuple(_canonicalized_expr(argument) for argument in expression.args),
expression.value,
)
def _canonical_expr(expression: Expr) -> str:
expression = _canonicalized_expr(expression)
if expression.op == "symbol":
assert isinstance(expression.value, str)
return expression.value
if expression.op == "const":
assert isinstance(expression.value, Fraction)
if expression.value.denominator == 1:
return str(expression.value.numerator)
return f"rat({expression.value.numerator},{expression.value.denominator})"
if expression.op in {"add", "mul"}:
return f"{expression.op}({','.join(_canonical_parts(expression))})"
if expression.op in {"neg", "inv"}:
return f"{expression.op}({_canonical_expr(expression.args[0])})"
raise MathIRError(f"cannot canonicalize {expression.op!r}")
def _canonical_state(state: EquationState) -> str:
return f"eq({_canonical_expr(state.lhs)},{_canonical_expr(state.rhs)})"
def _rename_expr_symbols(
expression: Expr,
symbol_map: Mapping[str, str],
) -> Expr:
if expression.op == "symbol":
assert isinstance(expression.value, str)
return Expr(
"symbol",
value=symbol_map.get(expression.value, expression.value),
)
return Expr(
expression.op,
tuple(
_rename_expr_symbols(argument, symbol_map)
for argument in expression.args
),
expression.value,
)
def _alpha_canonical_route(
initial_state: EquationState,
commands: tuple[Command, ...],
) -> str:
"""Canonicalize a verified route independently of coefficient names.
At most six coefficient symbols are allowed by the reference schema, so a
small exhaustive alpha-renaming is simpler and safer than relying on
symbol-name or traversal-order heuristics. Numeric binding values never
enter this representation.
"""
symbols = sorted(
(
_expr_symbols(initial_state.lhs)
| _expr_symbols(initial_state.rhs)
| set().union(
*(_expr_symbols(command.argument) for command in commands),
set(),
)
)
- {"x"}
)
roles = tuple(f"c{index}" for index in range(len(symbols)))
candidates: list[str] = []
for assigned_symbols in permutations(symbols):
symbol_map = {
symbol: role for symbol, role in zip(assigned_symbols, roles)
}
renamed_initial = EquationState(
_rename_expr_symbols(initial_state.lhs, symbol_map),
_rename_expr_symbols(initial_state.rhs, symbol_map),
)
command_parts = []
for command in commands:
renamed_argument = _rename_expr_symbols(
command.argument,
symbol_map,
)
command_parts.append(
f"{command.op}({_canonical_expr(renamed_argument)})"
)
candidates.append(
f"init={_canonical_state(renamed_initial)}"
f"|commands={'>'.join(command_parts)}"
)
if not candidates:
candidates.append(
f"init={_canonical_state(initial_state)}"
f"|commands={'>'.join(command.op for command in commands)}"
)
return f"mathir-route:{MATHIR_ROUTE_VERSION}:{min(candidates)}"
def _validate_denominators(
expression: Expr,
*,
bindings: Mapping[str, Fraction],
) -> None:
if expression.op == "div":
denominator = expression.args[1]
if "x" in _expr_symbols(denominator):
raise MathIRError("x-dependent denominators are not supported")
if _eval_fraction(denominator, bindings) == 0:
raise MathIRError("division by zero in command expression")
for argument in expression.args:
_validate_denominators(argument, bindings=bindings)
def _eval_fraction(
expression: Expr,
bindings: Mapping[str, Fraction],
) -> Fraction:
if expression.op == "symbol":
assert isinstance(expression.value, str)
if expression.value not in bindings:
raise MathIRError("cannot evaluate an expression containing x")
return bindings[expression.value]
if expression.op == "const":
assert isinstance(expression.value, Fraction)
return expression.value
values = tuple(_eval_fraction(argument, bindings) for argument in expression.args)
if expression.op == "add":
return values[0] + values[1]
if expression.op == "sub":
return values[0] - values[1]
if expression.op == "mul":
return values[0] * values[1]
if expression.op == "div":
if values[1] == 0:
raise MathIRError("division by zero")
return values[0] / values[1]
if expression.op == "neg":
return -values[0]
if expression.op == "inv":
if values[0] == 0:
raise MathIRError("division by zero")
return Fraction(1, 1) / values[0]
raise MathIRError(f"cannot evaluate {expression.op!r}")
def _initial_solution(
state: EquationState,
*,
bindings: Mapping[str, Fraction],
) -> Fraction:
x = sympy.Symbol("x")
substitutions = {
sympy.Symbol(name): sympy.Rational(value.numerator, value.denominator)
for name, value in bindings.items()
}
equation = sympy.cancel(
(_expr_to_sympy(state.lhs) - _expr_to_sympy(state.rhs)).subs(substitutions)
)
numerator, denominator = sympy.together(equation).as_numer_denom()
if x in denominator.free_symbols:
raise MathIRError("initial equation has an x-dependent denominator")
polynomial = sympy.Poly(sympy.expand(numerator), x)
if polynomial.degree() != 1:
raise MathIRError("initial equation is not uniquely linear")
coefficient = polynomial.coeff_monomial(x)
constant = polynomial.coeff_monomial(1)
if coefficient == 0:
raise MathIRError("initial equation has no unique solution")
solution = sympy.cancel(-constant / coefficient)
if not solution.is_Rational:
raise MathIRError("initial solution is not rational")
return Fraction(int(solution.p), int(solution.q))
def _apply_command(
state: EquationState,
command: Command,
*,
bindings: Mapping[str, Fraction],
) -> EquationState:
_validate_denominators(command.argument, bindings=bindings)
argument_symbols = _expr_symbols(command.argument)
if command.op in {"mul", "div"}:
if "x" in argument_symbols:
raise MathIRError("multiplication and division by x are not reversible")
if _eval_fraction(command.argument, bindings) == 0:
raise MathIRError("multiplication and division require a nonzero argument")
if command.op == "add":
lhs = Expr("add", (state.lhs, command.argument))
rhs = Expr("add", (state.rhs, command.argument))
elif command.op == "sub":
lhs = Expr("sub", (state.lhs, command.argument))
rhs = Expr("sub", (state.rhs, command.argument))
elif command.op == "mul":
lhs = Expr("mul", (state.lhs, command.argument))
rhs = Expr("mul", (state.rhs, command.argument))
elif command.op == "div":
lhs = Expr("div", (state.lhs, command.argument))
rhs = Expr("div", (state.rhs, command.argument))
else:
raise MathIRError(f"unsupported command {command.op!r}")
# This exact normalizer is part of the interpreter semantics, rather than
# model-authored text which could claim a simplification without doing it.
return EquationState(_normalize_expr(lhs), _normalize_expr(rhs))
def _validated_reference(
spec: Mapping[str, Any],
) -> tuple[EquationState, dict[str, Fraction], int]:
if spec.get("verifier") != MATHIR_VERIFIER:
raise MathIRError("wrong verifier")
if spec.get("mathir_version") != MATHIR_VERSION:
raise MathIRError("unsupported MathIR version")
raw_bindings = spec.get("bindings")
if not isinstance(raw_bindings, dict):
raise MathIRError("missing bindings")
if not 1 <= len(raw_bindings) <= _MAX_REFERENCE_SYMBOLS:
raise MathIRError("invalid number of bindings")
bindings: dict[str, Fraction] = {}
for raw_name, raw_value in raw_bindings.items():
name = str(raw_name)
if not re.fullmatch(r"[a-wyz]", name) or name == "x":
raise MathIRError("binding names must be single lowercase coefficient symbols")
bindings[name] = _fraction_from_reference(raw_value)
if len(bindings) != len(raw_bindings):
raise MathIRError("duplicate binding names")
max_steps = int(spec.get("max_steps", _MAX_PROGRAM_STEPS))
if not 1 <= max_steps <= _MAX_PROGRAM_STEPS:
raise MathIRError("invalid max_steps")
allowed_symbols = frozenset(bindings) | {"x"}
lhs = _parse_trusted_expression(
str(spec["initial_lhs"]),
allowed_symbols=allowed_symbols,
)
rhs = _parse_trusted_expression(
str(spec["initial_rhs"]),
allowed_symbols=allowed_symbols,
)
referenced_coefficients = (_expr_symbols(lhs) | _expr_symbols(rhs)) - {"x"}
if referenced_coefficients != set(bindings):
raise MathIRError("bindings and initial equation symbols disagree")
state = EquationState(_normalize_expr(lhs), _normalize_expr(rhs))
_initial_solution(state, bindings=bindings)
return state, bindings, max_steps
def _execute_mathir_commands(
*,
initial_state: EquationState,
bindings: Mapping[str, Fraction],
commands: tuple[Command, ...],
key_version: str,
action_ids: tuple[str, ...] = (),
) -> MathIRValidation:
target_solution = _initial_solution(initial_state, bindings=bindings)
seen = {_canonical_state(initial_state)}
states: list[EquationState] = []
state = initial_state
for command in commands:
state = _apply_command(state, command, bindings=bindings)
state_key = _canonical_state(state)
if state_key in seen:
raise MathIRError("program revisits a previous equation state")
seen.add(state_key)
states.append(state)
if state.lhs == Expr("symbol", value="x"):
final_expression = state.rhs
elif state.rhs == Expr("symbol", value="x"):
final_expression = state.lhs
else:
raise MathIRError("program does not finish with x isolated")
if "x" in _expr_symbols(final_expression):
raise MathIRError("final expression still contains x")
solution = _eval_fraction(final_expression, bindings)
if solution != target_solution:
raise MathIRError("executed program has the wrong solution")
canonical_key = (
f"mathir:{key_version}:"
+ ">".join(_canonical_state(executed_state) for executed_state in states)
)
route_signature = _alpha_canonical_route(initial_state, commands)
return MathIRValidation(
canonical_key=canonical_key,
solution=solution,
commands=commands,
states=tuple(states),
action_ids=action_ids,
route_signature=route_signature,
)
def validate_mathir_algebra(
program_text: str,
spec: Mapping[str, Any],
) -> MathIRValidation | None:
"""Execute and validate a MathIR program, returning its canonical path.
All failures return ``None``. This function is the single admission
boundary used by both task reward and the online canonical bank.
"""
try:
initial_state, bindings, max_steps = _validated_reference(spec)
allowed_symbols = frozenset(bindings) | {"x"}
commands = parse_mathir_program(
program_text,
allowed_symbols=allowed_symbols,
max_steps=max_steps,
)
return _execute_mathir_commands(
initial_state=initial_state,
bindings=bindings,
commands=commands,
key_version=MATHIR_VERSION,
)
except Exception:
return None
def _validated_menu_reference(
spec: Mapping[str, Any],
) -> tuple[
EquationState,
dict[str, Fraction],
int,
dict[str, Command],
]:
if spec.get("verifier") != MATHIR_MENU_VERIFIER:
raise MathIRError("wrong menu verifier")
if spec.get("mathir_version") != MATHIR_MENU_VERSION:
raise MathIRError("unsupported menu MathIR version")
base_spec = dict(spec)
base_spec["verifier"] = MATHIR_VERIFIER
base_spec["mathir_version"] = MATHIR_VERSION
initial_state, bindings, max_steps = _validated_reference(base_spec)
raw_actions = spec.get("actions")
if not isinstance(raw_actions, dict):
raise MathIRError("missing action menu")
if not 2 <= len(raw_actions) <= _MAX_MENU_ACTIONS:
raise MathIRError("invalid action menu size")
expected_ids = [chr(ord("A") + index) for index in range(len(raw_actions))]
if list(raw_actions) != expected_ids:
raise MathIRError("action IDs must be contiguous and ordered")
allowed_symbols = frozenset(bindings) | {"x"}
actions: dict[str, Command] = {}
normalized_programs: set[str] = set()
for action_id, raw_program in raw_actions.items():
if _MENU_ACTION_RE.fullmatch(str(action_id)) is None:
raise MathIRError("invalid action ID")
program = re.sub(r"\s+", "", str(raw_program))
if program in normalized_programs:
raise MathIRError("duplicate action semantics")
parsed = parse_mathir_program(
program,
allowed_symbols=allowed_symbols,
max_steps=1,
)
if len(parsed) != 1:
raise MathIRError("each action must contain exactly one command")
normalized_programs.add(program)
actions[str(action_id)] = parsed[0]
return initial_state, bindings, max_steps, actions
def parse_mathir_action_program(
text: str,
*,
action_ids: Iterable[str],
max_steps: int,
) -> tuple[str, ...]:
"""Parse a bounded sequence of prompt-local action IDs."""
compact = re.sub(r"\s+", "", str(text))
if not compact or len(compact) > _MAX_PROGRAM_CHARS:
raise MathIRError("action program is empty or too long")
compact = compact[:-1] if compact.endswith(";") else compact
if not compact or compact.startswith(";") or ";;" in compact:
raise MathIRError("empty action")
selected = tuple(compact.split(";"))
if not 1 <= len(selected) <= int(max_steps):
raise MathIRError("action program has an invalid number of steps")
allowed = frozenset(str(action_id) for action_id in action_ids)
if any(
_MENU_ACTION_RE.fullmatch(action_id) is None or action_id not in allowed
for action_id in selected
):
raise MathIRError("unknown action ID")
return selected
def validate_mathir_action_menu(
program_text: str,
spec: Mapping[str, Any],
) -> MathIRValidation | None:
"""Execute the exact prompt-local action sequence and key its state path."""
try:
initial_state, bindings, max_steps, actions = _validated_menu_reference(spec)
action_ids = parse_mathir_action_program(
program_text,
action_ids=actions,
max_steps=max_steps,
)
commands = tuple(actions[action_id] for action_id in action_ids)
return _execute_mathir_commands(
initial_state=initial_state,
bindings=bindings,
commands=commands,
key_version=MATHIR_MENU_VERSION,
action_ids=action_ids,
)
except Exception:
return None
def enumerate_mathir_action_menu_keys(
spec: Mapping[str, Any],
) -> set[str]:
"""Exhaustively enumerate the bounded menu's distinct verified state paths."""
return {
validation.canonical_key
for validation in enumerate_mathir_action_menu_validations(spec)
}
def _terminal_solution(
state: EquationState,
*,
bindings: Mapping[str, Fraction],
target_solution: Fraction,
) -> Fraction | None:
if state.lhs == Expr("symbol", value="x"):
final_expression = state.rhs
elif state.rhs == Expr("symbol", value="x"):
final_expression = state.lhs
else:
return None
if "x" in _expr_symbols(final_expression):
return None
solution = _eval_fraction(final_expression, bindings)
return solution if solution == target_solution else None
def enumerate_mathir_action_menu_validations(
spec: Mapping[str, Any],
) -> tuple[MathIRValidation, ...]:
"""Enumerate exact support while caching deterministic state transitions."""
initial_state, bindings, max_steps, actions = _validated_menu_reference(spec)
target_solution = _initial_solution(initial_state, bindings=bindings)
transition_cache: dict[
tuple[str, str], tuple[EquationState, str] | None
] = {}
admitted: dict[str, MathIRValidation] = {}
def transition(
state: EquationState,
action_id: str,
) -> tuple[EquationState, str] | None:
state_key = _canonical_state(state)
cache_key = (state_key, action_id)
if cache_key not in transition_cache:
try:
next_state = _apply_command(
state,
actions[action_id],
bindings=bindings,
)
transition_cache[cache_key] = (
next_state,
_canonical_state(next_state),
)
except Exception:
transition_cache[cache_key] = None
return transition_cache[cache_key]
def visit(
state: EquationState,
*,
seen: frozenset[str],
commands: tuple[Command, ...],
action_ids: tuple[str, ...],
states: tuple[EquationState, ...],
) -> None:
if len(commands) >= max_steps:
return
for action_id in actions:
result = transition(state, action_id)
if result is None:
continue
next_state, next_state_key = result
if next_state_key in seen:
continue
next_commands = commands + (actions[action_id],)
next_action_ids = action_ids + (action_id,)
next_states = states + (next_state,)
solution = _terminal_solution(
next_state,
bindings=bindings,
target_solution=target_solution,
)
if solution is not None:
canonical_key = (
f"mathir:{MATHIR_MENU_VERSION}:"
+ ">".join(
_canonical_state(executed_state)
for executed_state in next_states
)
)
admitted[canonical_key] = MathIRValidation(
canonical_key=canonical_key,
solution=solution,
commands=next_commands,
states=next_states,
action_ids=next_action_ids,
route_signature=_alpha_canonical_route(
initial_state,
next_commands,
),
)
visit(
next_state,
seen=seen | {next_state_key},
commands=next_commands,
action_ids=next_action_ids,
states=next_states,
)
initial_key = _canonical_state(initial_state)
visit(
initial_state,
seen=frozenset({initial_key}),
commands=(),
action_ids=(),
states=(),
)
return tuple(admitted[key] for key in sorted(admitted))
def enumerate_mathir_action_menu_route_signatures(
spec: Mapping[str, Any],
) -> set[str]:
"""Exhaustively enumerate the menu's verified cross-prompt route support."""
return {
validation.route_signature
for validation in enumerate_mathir_action_menu_validations(spec)
}
def certified_mathir_strategy_keys(
spec: Mapping[str, Any],
programs: Iterable[str],
) -> set[str]:
"""Validate a finite audit list without treating it as exhaustive support."""
keys: set[str] = set()
for program in programs:
validation = validate_mathir_algebra(program, spec)
if validation is None:
raise MathIRError(f"certified program failed validation: {program}")
keys.add(validation.canonical_key)
return keys
def mathir_command_histogram(validation: MathIRValidation) -> Counter[str]:
"""Small diagnostic helper used by audits and tests."""
return Counter(command.op for command in validation.commands)
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