peye

The peye Rule Language and Proof Format

Title:      The peye Rule Language and Proof Format
Version:    peye 0.3.0
Status:     Informational
Author:     Jos De Roo, KNoWS office of IDLab, Ghent University - imec
Repository: https://github.com/eyereasoner/peye

Abstract

peye is a rule language embedded in Python, with forward and backward reasoning, and a proof format whose documents a separate checker verifies against the program that produced them. This document specifies the terms the language reasons over, how a program is stated in Python, what a program concludes, the canonical text in which terms, conclusions, proofs and check reports are written and read back, the proof document, the seven conditions (C1-C7) a proof checker establishes, the check report, and the command line.

Status of This Memo

This document is not an Internet Standards Track specification. It describes the language and formats as implemented by peye 0.3.0, for readers who want to write programs, produce or consume proofs and reports, or implement a compatible reasoner or checker. Where this document and the implementation disagree, that is a defect in one of them.

Table of Contents

  1. Introduction
  2. Conventions and Terminology
  3. Terms
  4. Programs
  5. Goals, Controls and Primitives
  6. Arithmetic
  7. Reasoning
  8. Canonical Text
  9. Reading Documents
  10. Proof Documents
  11. Proof Checking
  12. Check Reports
  13. Unused Clauses
  14. Command Line
  15. Security Considerations
  16. Conformance

1. Introduction

A peye program states facts and rules. Forward rules are applied until no new conclusion follows; backward rules are applied when a goal asks for them. Every conclusion can be accompanied by a proof: a document that names, for each step, the program clause or primitive that justifies it. A checker that never consults the reasoner verifies such a document against the program and reports, condition by condition, what it established and what it had to take on trust.

Programs are Python modules. Conclusions, proofs and check reports are Python expressions, one per line, which a reader turns back into terms without executing them.

2. Conventions and Terminology

The key words “MUST”, “MUST NOT”, “REQUIRED”, “SHALL”, “SHALL NOT”, “SHOULD”, “SHOULD NOT”, “RECOMMENDED”, “MAY” and “OPTIONAL” in this document are to be interpreted as described in BCP 14 (RFC 2119, RFC 8174) when, and only when, they appear in all capitals.

3. Terms

A term is one of:

Kind Representation Example
Atom a Python str 'socrates', '[]'
Integer a Python int, of unbounded size 42, -7
Float a Python float, an IEEE-754 binary64 value 0.5, 1e+22
Variable a name X, _Rest
Compound a name (an atom) and one or more argument terms parent('alice', 'bob')

A compound term is identified by its name and its arity, the number of its arguments, written name/arity. An atom used as a goal has arity 0.

Lists. The empty list is the atom '[]'. A non-empty list is the compound '.'(Head, Tail). A list whose final tail is not '[]' is an open list. Character text is a list of one-character atoms.

Numbers. Integers and floats are distinct: 1 and 1.0 MUST NOT unify. Floats MUST be finite; no operation produces an infinity or a NaN as a term (Section 6). Booleans and None are not terms.

Unification is syntactic unification on finite trees. It MUST apply the occurs check: binding a variable to a term that contains it fails. Atoms unify when their texts are equal; numbers when they are of the same kind and equal; compounds when their names and arities are equal and their arguments unify pairwise.

Standard order. Terms are totally ordered as: variables, then numbers, then atoms, then compounds. Numbers are ordered by value, compared exactly across integers and floats; a float precedes an integer of equal value. Atoms are ordered by the code points of their characters. Compounds are ordered by arity, then name, then arguments from left to right. Distinct variables are ordered by the code points of their names, so the order is the same in every comparison. The names of renamed-apart variables (Section 7.1) are implementation-specific, so a program SHOULD NOT depend on the relative order of two distinct unbound variables.

4. Programs

4.1 Program modules

A program is a Python module whose top level contains from peye import *. Running the module states the program’s clauses, one per call, in the order the calls are made. Several modules MAY be loaded as one program; their clauses are then numbered in the order the modules are run.

from peye import * provides exactly the names needed to state a program: the statements of Section 4.2, preds, vars, _, struct, the controls and primitives of Section 5, and the atoms true, fail and false.

4.2 Statements

Statement Clause stated
fact(T1, T2, ...) One fact per argument.
implies(Premise, Conclusion) A forward rule, N3’s =>: the premise’s goals are its body and the conclusion its head, which MAY join several conclusions with &.
implied_by(Conclusion, Premise) A backward rule, N3’s <=: the conclusion is its head and the premise’s goals are its body.
query(G1, G2, ...) The forward rule implies(G1 & G2 & ..., 'true').
contradiction(G1, G2, ...) The forward rule implies(G1 & G2 & ..., 'false').
facts_from(path) or facts_from(text=...) One fact per expression of a document (Section 9).

A body goal that is a conjunction (&, Section 5.1) is split into its conjuncts; the clause body is the resulting sequence of goals.

Clauses are numbered from 1 in the order they are stated. Each clause records the line of the program on which the statement stating it begins; the facts of facts_from record the line of that call.

A clause MUST be rejected when:

4.3 Names a program does not define

Before a program module runs, its source is analysed and every name it uses without binding it anywhere (by assignment, import, function definition or parameter, at any scope) is supplied:

  1. a name beginning with an uppercase letter or _ is the variable of that name;
  2. any other name is the predicate of that name: calling it with arguments builds the compound with that name, and using it uncalled stands for the atom of that name.

Names from peye import * provides and names beginning with __ keep their meaning. So does the name of a Python builtin, such as getattr or int, unless the program uses it somewhere inside the arguments of a call of a name from peye import * provides, as type in fact(type('socrates', 'human')): then it is a predicate. Even there, the builtins print, range, len, list, dict, set, tuple, str, enumerate, zip, sorted, reversed, isinstance, open, repr, chr, ord, iter, any, all, map and filter, and builtins beginning with an uppercase letter, keep their meaning.

A program MAY name predicates and variables explicitly: p, q = preds('p q') and X, Y = vars('X Y'). A program that wants a predicate named like a kept builtin MUST do so.

A top-level expression statement that calls a predicate supplied by rule 2, such as a misspelled fcat(p(1)), states nothing; a loader MUST report it as an error rather than ignore it.

4.4 Terms in a program

Within a program, a Python str is an atom, an int or float a number, a Python list a list, and [H, *T] the list with head H and tail T. struct('name', A1, ...) builds a compound with any name, and struct('name') the atom. Every occurrence of _ in a clause is a distinct variable, an anonymous variable: the occurrences are named _0, _1, … in the order of the clause’s text, skipping names the clause already uses, and clause displays and bindings (Section 10) show these names. A program SHOULD NOT name its own variables _ followed by digits, which Section 5.1 treats as anonymous.

Python operators on variables and compounds build compound terms (Section 8.2), for example X + 1 builds '+'(X, 1) and X < Y builds '<'(X, Y). A term MUST NOT be used as a Python truth value; an implementation MUST raise an error when it is, which catches a chained comparison such as X > 1 & Y < 2. An operator applied only to plain Python values is Python’s own: 1 < 2 is the Python True, which is not a term, and stating it is an error.

4.5 Stratification

A body goal depends on a clause when the goal, renamed apart, unifies with one of the clause’s heads. The dependency is closed when the goal occurs inside a negation or as the goal of a collection (Section 5.1), and open otherwise. Each clause has a rank: the least assignment such that a clause’s rank is at least the rank of every clause it depends on, plus one for a closed dependency. Forward rules run in order of rank (Section 7.2).

A program MUST be rejected when:

Because dependencies compare whole terms, two relations sharing a predicate name MAY have different ranks.

5. Goals, Controls and Primitives

5.1 Controls

Control Term Meaning
A & B ','(A, B) Conjunction: solve A, then B.
A \| B ';'(A, B) Disjunction: the solutions of A, then those of B.
~G '~'(G) Negation: succeeds once, binding nothing, when G has no solution. When the negation is solved, every variable of G MUST be bound except anonymous ones, which stand for any value: ~q(X, _) succeeds when q(X, Y) has no solution for any Y. A named unbound variable is an error.
call(G) call(G) The solutions of G.
once(G) once(G) The first solution of G.
findall(T, G, L) findall(T, G, L) Unifies L with the list of instances of T, one per solution of G, in order, each renamed apart.

A variable is anonymous when its name, up to any # a renaming apart (Section 7.1) adds, is _ followed by digits (Section 4.4), or is one a reader made for a _ (Section 9).

In a program (Section 4), not_(G1, G2, ...) builds ~(G1 & G2 & ...), and call and once with several goals build call(G1 & G2 & ...) and once(G1 & G2 & ...). In goal text and documents (Section 9) these are ordinary compounds: there not_(...) is not a negation.

5.2 Primitives

In a flow pattern, + marks an argument that MUST be bound when the goal runs, - one that MUST be unbound, ? either, and @ one only inspected. A primitive called outside its patterns raises an error.

Primitive Pattern Meaning
'true', 'fail', 'false'   Succeeds; fails; fails.
unify(?X, ?Y)   Unifies X and Y.
not_unify(@X, @Y)   Succeeds, binding nothing, when X and Y do not unify.
identical(@X, @Y)   X and Y are identical.
not_identical(@X, @Y)   X and Y are not identical.
compare(?O, @X, @Y)   Unifies O with '<', '=' or '>', by the standard order.
is_(?V, +E)   Evaluates E (Section 6) and unifies V with the result.
eq(+E1, +E2), ne(+E1, +E2)   The values of E1 and E2 are equal, or not.
E1 < E2, E1 <= E2, E1 > E2, E1 >= E2   Compares the values of E1 and E2.
is_var(@X), is_nonvar(@X)   X is an unbound variable, or is not.
is_ground(@X)   X contains no unbound variable.
is_atom(@X), is_number(@X)   X is an atom, or a number.
is_int(@X), is_float(@X)   X is an integer, or a float.
is_compound(@X)   X is a compound; a non-empty list is one.
functor functor(+T, ?N, ?A), functor(-T, +N, +A) Name and arity of T, or T built with fresh variable arguments. A MUST be between 0 and 1024.
arg arg(+N, +T, ?A) A is the Nth argument of T, counting from 1.
univ univ(+T, ?L), univ(-T, +L) L is the list of T’s name and arguments.
atom_chars atom_chars(+A, ?L), atom_chars(-A, +L) L is the list of A’s characters as atoms.
atom_codes atom_codes(+A, ?L), atom_codes(-A, +L) L is the list of A’s character code points.
atom_length atom_length(+A, ?N) N is the number of characters of A.
atom_concat atom_concat(+A, +B, ?AB), atom_concat(?A, ?B, +AB) AB is A followed by B; with AB given, every split, shortest A first.

Every primitive except atom_concat has at most one solution. Primitives MUST be pure: their solutions depend only on their arguments. A primitive given an argument of the wrong kind for its patterns raises an error, as atom_length(123, N) does; one given arguments of the right kinds that has no solution fails, as arg(5, f(1), A) does.

A goal whose name and arity are neither a control, a primitive nor the head of any clause has no solution.

6. Arithmetic

An expression term is evaluated with the meaning the same expression has in Python:

Integers are exact and unbounded. An evaluation MUST raise an error, rather than produce a value, when the operation raises one in Python (such as a division by zero or sqrt(-1)), when the result is not a finite real number, or when a power or left shift would need more than 2^26 bits: for a power of integers A ** B with B > 0 and abs(A) > 1, when B times the bit length of A exceeds 2^26; for a shift A << B of integers, when B exceeds 2^26.

Comparisons are primitives (Section 5.2), not arithmetic functions: '<' and the other comparisons in an expression are an error. Comparison primitives compare values exactly, including across integers and floats.

7. Reasoning

Goals are solved depth-first, left to right. A goal is solved, in order:

  1. by a control or primitive (Section 5), when it is one;
  2. otherwise against the facts derived so far by forward rules with the same name and arity, in the order they were derived;
  3. then against the program’s facts and backward rules with the same name and arity, in clause order, each renamed apart before it is unified with the goal; a rule’s body is then solved in its place.

Renaming a clause apart gives each of its variables a fresh variable whose name is the variable’s name followed by # and an implementation-specific suffix. Such names never appear in the documents a run writes (Section 8.3).

An implementation MAY index clauses, provided the order above is kept.

7.2 Forward reasoning

Forward rules run stratum by stratum, in increasing rank (Section 4.5). Within a stratum, rounds are repeated until a round adds no new fact. In a round, each rule in clause order is renamed apart and its body solved against the current state; all solutions of the body are collected first, then each is concluded:

When the run asks its own goals (Section 7.4), rules whose heads are all 'true' are not run.

7.3 Bounds

A run is bounded by max_depth, the depth of nested rule bodies (default 1000000), by max_inferences, the number of goals started (default 1000000), and by max_iterations, the rounds per stratum (default 1000). Exceeding a bound MUST raise an error; a partial result MUST NOT be returned as complete.

7.4 Goals

A run MAY be given goals. After forward reasoning, each goal is solved in turn, and each solution is reported as the instance of its goal, unless an instance identical up to renaming of its variables was already reported for this goal or an earlier one of the same run.

7.5 Halting

A run that concluded 'false' has halt code 65; otherwise it has none.

7.6 Conclusions

The conclusions of a run are, in order:

  1. when it halted: every derived fact, in the order derived, ending with 'false';
  2. otherwise, when it was given goals: the reported instances of its goals;
  3. otherwise, when the program has a forward rule with a head 'true': the reported instances, in order of first report, which MAY be none;
  4. otherwise: every derived fact, in the order derived.

The output of a run is the canonical text (Section 8) of each conclusion, one per line.

7.7 Proof recording

When a proof is requested, each solution records how each of its goals was justified: by a fact or rule of the program, by a derived fact (whose own record is kept), by a primitive, by a control, by an absence (a negation) or by a collection (findall). For each conclusion the first derivation found is recorded. A reasoner MUST check every proof it generates (Section 11) before returning it, and MUST fail with an error rather than return a proof that does not pass. A run without conclusions has a proof without claims, which is valid and certifies nothing.

A goal such as is_var(X) followed by unify(X, 'a') cannot be recorded faithfully by its final substitution, so such a run cannot produce a proof.

8. Canonical Text

Every term has exactly one canonical text, which is a Python expression.

8.1 Atoms, numbers, variables and lists

8.2 Compounds

A compound whose name and arity appear below is written with the operator, with Python’s precedence; operands are parenthesized exactly where Python needs it:

Term Text Precedence
'<'(A, B), '<='(A, B), '>'(A, B), '>='(A, B) A < B, … 6, not associative
';'(A, B) A \| B 7, left
'^'(A, B) A ^ B 8, left
','(A, B) A & B 9, left
'<<'(A, B), '>>'(A, B) A << B, A >> B 10, left
'+'(A, B), '-'(A, B) A + B, A - B 11, left
'*'(A, B), '/'(A, B), '//'(A, B), '%'(A, B) A * B, … 12, left
'-'(A), '+'(A), '~'(A) -A, +A, ~A 13
'**'(A, B) A ** B 14, right

A negative number has precedence 13. '-'(N) with a number N is not written -N, which would read back as a number; it is written struct('-', N).

Any other compound is written name(A1, A2, ...) when its name is a Python identifier, not a keyword and not struct, and struct('name', A1, ...) otherwise. Arguments are separated by , .

A conjunction built left to right, ','(','(A, B), C), is written A & B & C.

8.3 Variables in written documents

The conclusions a run writes, its proof documents (Section 10) and check reports (Section 12) do not show the names variables have inside a run. In the conclusions of a run and in a proof document, the variables are named A, B, …, Z, A1, …, Z1, A2, … in the order the document first shows them, across the whole document, the conclusions written first; the clause displays of a proof keep the program’s names. A check report names the variables of each fact anew (Section 12). The bindings an implementation reports for each answer to a goal SHOULD name its variables as the answer does.

9. Reading Documents

A document is UTF-8 text holding a sequence of Python expression statements. As in Python, a statement MAY span lines inside brackets, statements on one line MAY be separated by ;, and comments and blank lines are ignored; each term records the line on which its statement begins. The documents peye writes hold one statement per line. A reader MUST build terms from the syntax tree of the text and MUST NOT execute it. It accepts exactly:

Anything else, such as an attribute, a subscript, a keyword argument, a tuple, a set, True, False, None, a bytes or formatted string, an imaginary number, ==, in, is, not, and, or, @ or a non-expression statement, MUST be rejected. Reading the canonical text of a term MUST give the term back.

A reader MAY read simple lines by other means than a syntax tree, provided it gives exactly the terms Python’s syntax tree would.

10. Proof Documents

10.1 Structure

A proof document is a document (Section 9) holding, in this order:

  1. the conclusions of the run (Section 7.6), one per line;
  2. an empty line;
  3. one clause(N, Display) per program clause the proof cites, by increasing N;
  4. an empty line;
  5. one step(Goal, By, Bindings, Uses) per justified goal.

A checker MUST treat every statement that is neither clause/2 nor step/4 as a claim, whatever its position.

10.2 Clause displays

Display shows clause N as the program states it: fact(Head), implies(Body, Head) or implied_by(Head, Body), where Body is the clause’s body goals joined left to right with &. Displays are not authority: a checker MUST compare each with the program it checks against.

10.3 Steps

Goal is the justified goal as it stands once the whole solution is found: the goal with every variable the solution bound replaced by its value. The program’s goal unify(Y, 6), solved with Y unbound, thus has the step step(unify(6, 6), 'builtin', {}, []); the value Y received is recorded in the bindings of the step that cites the clause, as {'Y': 6}. Steps appear in the order a depth-first walk from the claims first meets each goal, and each distinct goal (by canonical text) has one step. Uses is the list of the goals that justify Goal, in order. By is one of:

By Meaning Bindings Uses
clause(N) Goal is an instance of a head of clause N, a fact or a rule, whose body instance is Uses. the clause’s variables the body instance, empty for a fact
'builtin' Goal is a primitive that holds. empty empty
'control' Goal is call, once or a disjunction, solved by Uses. empty the solved goals
'absent' Goal is a negation taken on trust. empty empty
'collected' Goal is a findall taken on trust. empty empty

Bindings is a dictionary from each variable name of the cited clause, as the program wrote it, to its value in this step: {'X': 'socrates'}. A reasoner writes every variable of the clause, in order of first occurrence; a checker MUST accept any subset, since the goal and uses determine the rest. A primitive has no variables of its own, so 'builtin' steps have empty bindings.

11. Proof Checking

A checker is given a program, a proof document and, when the proof answers goals asked from outside the program, those goals. It MUST NOT call a reasoner to supply a missing step; it MAY recompute primitives. It establishes seven conditions and records each failure with its condition, a detail and, where there is one, the term concerned.

11.1 Reading the document

The document MUST read (Section 9); otherwise C3 fails and the document has no claims and no steps. Each clause(N, Display) MUST name a clause of the program whose display (Section 10.2) is identical to Display; otherwise C1 fails. Each step MUST have bindings that read as a list of '='/2 pairs, as a dictionary display does, and a list of uses, and no two steps may have identical goals; otherwise C3 fails and the step is set aside. Every other statement is a claim (Section 10.1).

11.2 C1 Resolution

For a clause(N) step, N MUST be a clause of the program. The clause, renamed apart, MUST satisfy: each binding names a distinct variable of the clause and unifies it with its value; and for one of the clause’s heads (each conjunct of a forward rule’s head), the head unifies with Goal and the body, of the same length as Uses, unifies with Uses pairwise, such that afterwards the head is identical to Goal and each body goal to its use. A step’s own terms MUST NOT need further instantiation to match: a source clause same(X, X) cannot justify same('a', 'b').

11.3 C2 Well-foundedness

No step MAY depend on itself through the uses of steps.

11.4 C3 Justification

By MUST be one of the forms of Section 10.3. A 'builtin' step MUST have no bindings and no uses and a goal that is a primitive; an 'absent' or 'collected' step MUST have no bindings and no uses and a goal that is a negation or a findall, respectively.

11.5 C4 Coverage

Each conjunct of each claim MUST have a step. Each use, and each conjunct of a use, MUST have a step or be identical to an instance of a fact of the program. A document without claims is valid and certifies nothing.

11.6 C5 Re-decision

A 'builtin' step’s goal, solved as a primitive with no prior bindings, MUST succeed without binding anything. A 'control' step MUST have no bindings, and its uses MUST be identical, in order, to the conjuncts of the argument of call or once, or of one side of a disjunction. When trusted boundaries are forbidden (“strict”), each 'absent' or 'collected' step fails C5.

11.7 C6 Boundary consistency

A trusted boundary cannot be proved, but the evidence at hand can refute it. The evidence for a goal is: when the goal is a ground primitive, the goal itself if it holds; when it is a control, none, and the boundary is left undecided; otherwise the program’s facts and the goals of the document’s steps with the same name and arity.

A boundary that is not refuted remains an obligation (Section 12).

11.8 C7 Relevance

When goals were given and no claim is 'false', the questions are the goals. Otherwise the questions are, for each forward rule, each head other than 'true', and the rule’s body as a conjunction when one of its heads is 'true' and no claim is 'false'. Each claim MUST be an instance of a question. Each step MUST be reachable from a conjunct of a claim through the conjuncts of uses.

11.9 Counts and validity

Condition Covered
C1 resolution clause steps that passed C1
C2 well_founded steps
C3 justification steps
C4 coverage claims plus uses
C5 re_decision 'builtin' and 'control' steps that passed C5
C6 boundary_consistency boundaries decided
C7 relevance claims plus steps

A check also counts the steps it read, the claims, the clause steps verified by C1, the 'builtin' steps recomputed by C5, the 'control' steps composed by C5, and the 'absent' and 'collected' steps trusted.

A proof is valid when no condition failed. A valid proof with trusted boundaries is valid conditional on them.

11.10 What a valid proof establishes

A valid proof establishes that each of its claims follows from the program by the recorded steps, given its trusted boundaries. It does not establish that the claims are all the conclusions of the program, that the program derives no 'false', or that the program is the one intended: a proof MAY leave conclusions out, and a run’s own proof holds exactly its conclusions.

12. Check Reports

A check report is a document (Section 9) holding, in this order, one fact per line:

  1. condition(Id, Name, Outcome, Covered) for C1 to C7, where Outcome is 'ok' or failed(N), N the number of that condition’s failures;
  2. failure(Condition, Subject, Detail) per failure, where Subject is the term concerned or 'proof_document', and Detail an atom;
  3. obligation(Kind, 'theory_scoped', Goal) per trusted boundary, in step order, where Kind is 'absent' or 'collected';
  4. steps(N), verified(N), recomputed(N), composed(N), trusted(N), claims(N), the counts of Section 11.9;
  5. verdict(V), where V is failed(N) when N failures were recorded, otherwise 'checked_with_obligations' when there are obligations, otherwise 'checked'.

Failures are listed in the order they are found: those of reading the document (Section 11.1), in document order; C4 for each claim, in claim order; then for each step, in document order, C4 for its uses and the C1, C3 or C5 failure of its justification; C6 for each boundary, in step order; C7 for each claim, then for each step; and C2.

Detail is a short human-readable text that names what failed, often with the canonical text of a term; it is informative, and implementations MAY word it differently. peye’s details are, by condition:

Condition Details
C1 clause display differs from source, unknown clause ..., not an instance of source clause N: ...
C2 cyclic derivation at ...
C3 the reader’s error, step bindings must be a dictionary and uses a list, duplicate justification for ..., invalid builtin justification, trusted boundaries cannot have bindings or uses, unknown justification ...
C4 unjustified claim ..., unjustified use ...
C5 primitive disagrees: ..., control step does not follow from its uses: ..., trusted boundary forbidden: absent or collected
C6 absence contradicted by evidence: ..., collected result is not a proper list: ..., collection misses ...: ...
C7 claim answers no goal: ..., step serves no claim: ...

The variables of each fact are renamed A, B, …, Z, A1, … in order of first occurrence. A report is ordinary data: facts_from (Section 4.2) states it as facts.

The JSON form of a report is an object with valid (boolean), steps, claims, verified, redecided (the count recomputed), composed, uses (the number of uses of all steps, integers), trusted (a list of {kind, conclusion}), failures (a list of {condition, detail, conclusion?}) and conditions (a list of {id, name, covered, failed}), where conclusion is a canonical text.

13. Unused Clauses

A clause is unused when no conclusion’s recorded derivation cites it, unless a negation or collection in the proof could consult it and running the program without it changes the conclusions or the halt code, or fails. The clauses a negation or collection could consult are those whose heads have the name and arity of a goal it reaches through the program’s bodies.

Unused clauses are reported one per line, in clause order, as unused(line(L), Display), where L is the clause’s line (Section 4.2) and Display as in Section 10.2.

“Unused” is relative to the recorded derivations, which are the first ones found (Section 7.7). A clause that only offers a second derivation of a conclusion, such as a duplicate rule, is unused, though leaving out the clause that offers the first one would make it used; leaving out several unused clauses together can therefore change the conclusions. A contradiction rule that never fires changes no conclusion and is unused, though it guards the program against data that would make it fire.

14. Command Line

peye [OPTION ...] [FILE ...]
Option Meaning
(none) Load the files, or standard input, as one program and print its conclusions.
--proof Print the proof document instead.
--check-proof FILE Check the proof in FILE (- for standard input) against the program and print its report.
--json With --check-proof, print the report as JSON.
--goal GOAL Ask GOAL, read as in Section 9; MAY be repeated. With --check-proof, the goals the proof answers.
--strict-proof With --check-proof, forbid trusted boundaries.
--unused Print the unused clauses (Section 13).
--stats Print reasoning statistics as JSON to standard error.
--skolem-genid G Use the nonempty G as the genid of the run’s Skolem atoms (Section 7.2) instead of a random one.
--max-depth N, --max-iterations N, --max-inferences N The bounds of Section 7.3; N MUST be a positive integer.
--version, --help Print the version, or the usage.

--check-proof MUST NOT be combined with --proof, nor --unused with either, and --json and --strict-proof need --check-proof. A program text that has a line starting with step( and none starting with from peye import * is a proof document; given one as a program, the command line MUST say how to check it instead.

Exit code Meaning
0 Success, including a check that found the proof valid.
1 An error, printed to standard error as peye: message.
2 A check that found the proof not valid; the report is printed as usual.
65 The run halted (Section 7.5).

A program module whose top level contains from peye import * MAY be run as a Python script: it is then loaded and reasoned over with the command line’s options, as if named as a FILE.

15. Security Considerations

A program is Python code and runs with the privileges of whoever runs it; only programs from trusted sources should be run. Reasoning itself calls no code of the program: once stated, clauses are terms.

A document (conclusions, proofs, reports, facts_from input and goals) is untrusted data. It MUST NOT be executed. The reader of Section 9 accepts literals, names, calls of a plain name, list and dictionary displays and a fixed set of operators, so no document can run code, import modules or reach attributes. Checking a proof from a third party is therefore safe in the sense that it runs none of the third party’s code.

Reasoning and checking consume time and memory. The bounds of Section 7.3, the limit on powers and shifts in Section 6 and the limit on functor arities in Section 5.2 bound some of this; a deployment that checks untrusted proofs SHOULD additionally bound document size, nesting depth and running time.

A valid proof establishes that its claims follow from the program supplied to the checker (Section 11.10). It does not establish that the program is correct or that the claims are all its conclusions, and a proof with obligations holds only conditional on them.

16. Conformance

A conforming reasoner implements Sections 3 to 10, produces conclusions and proof documents in the canonical text, and checks every proof it produces as Section 11 describes. A conforming checker implements Sections 9, 11 and 12 and does not depend on a reasoner. For the same program, a conforming reasoner and checker MUST produce the same conclusions, proof documents and reports as peye 0.3.0, byte for byte, except for the Detail texts of failures (Section 12), the internal names of variables where Section 3 says so, the random genid of Skolem atoms when none is given (Section 7.2), and where Python’s floating-point library functions differ in the last digit.

The conformance suite in the repository’s conformance/ directory tests an implementation against this document through its command line, case by case, each case naming the sections it tests; conformance/README.md describes how to run it against any implementation. The repository’s examples, with their saved conclusions (examples/output/), proofs (examples/proof/) and reports (examples/check/), test the same on larger programs.


Appendix A. Document Grammar

The documents of Sections 9 to 12 use this subset of Python’s grammar, in the ABNF style of RFC 5234, with whitespace between tokens allowed as in Python; as in Python, an expression MAY continue onto following lines inside brackets.

document    = *( line LF ) [ line ]
line        = [ expression *( ";" expression ) [ ";" ] ] [ comment ]
comment     = "#" *<any character except LF>
expression  = bitor [ compare-op bitor ]
compare-op  = "<" / "<=" / ">" / ">="
bitor       = bitxor *( "|" bitxor )
bitxor      = bitand *( "^" bitand )
bitand      = shift *( "&" shift )
shift       = sum *( ( "<<" / ">>" ) sum )
sum         = product *( ( "+" / "-" ) product )
product     = unary *( ( "*" / "/" / "//" / "%" ) unary )
unary       = ( "-" / "+" / "~" ) unary / power
power       = primary [ "**" unary ]
primary     = string / number / name / call / list / dict / "(" expression ")"
call        = name "(" [ expression *( "," expression ) [ "," ] ] ")"
list        = "[" [ items ] "]"
items       = expression *( "," expression ) [ "," "*" bitor ] [ "," ]
            / "*" bitor [ "," ]
dict        = "{" [ pair *( "," pair ) [ "," ] ] "}"
pair        = expression ":" expression
string      = 1*<a Python string literal, not bytes and not formatted>
number      = <a Python integer or floating-point literal, not imaginary>
name        = <a Python identifier that is not a keyword>

Appendix B. Example

The program socrates.py:

from peye import *

fact(type('socrates', 'human'))
fact(subclass_of('human', 'mortal'))
implies(type(S, A) & subclass_of(A, B), type(S, B))
query(type(X, Y))

Its conclusions:

type('socrates', 'mortal')
type('socrates', 'human')

Its proof document (Section 10):

type('socrates', 'mortal')
type('socrates', 'human')

clause(1, fact(type('socrates', 'human')))
clause(2, fact(subclass_of('human', 'mortal')))
clause(3, implies(type(S, A) & subclass_of(A, B), type(S, B)))

step(type('socrates', 'mortal'), clause(3), {'S': 'socrates', 'B': 'mortal', 'A': 'human'}, [type('socrates', 'human'), subclass_of('human', 'mortal')])
step(type('socrates', 'human'), clause(1), {}, [])
step(subclass_of('human', 'mortal'), clause(2), {}, [])

Its check report (Section 12):

condition('C1', 'resolution', 'ok', 3)
condition('C2', 'well_founded', 'ok', 3)
condition('C3', 'justification', 'ok', 3)
condition('C4', 'coverage', 'ok', 4)
condition('C5', 're_decision', 'ok', 0)
condition('C6', 'boundary_consistency', 'ok', 0)
condition('C7', 'relevance', 'ok', 5)
steps(3)
verified(3)
recomputed(0)
composed(0)
trusted(0)
claims(2)
verdict('checked')

Appendix C. Implementation Notes

This appendix is informative: it describes how this version of peye implements this document, not requirements on other implementations. The runtime has no dependencies beyond the Python standard library and there is no build step.

File Responsibility
peye/terms.py Terms, unification, renaming, the standard order
peye/writer.py, peye/reader.py Canonical Python spelling, and reading it back without executing it
peye/dsl.py, peye/functions.py Stating programs in Python
peye/program.py Profile validation, clause indexing and dependency stratification
peye/builtins.py, peye/arith.py The pure primitive profile and arithmetic
peye/engine.py Backward resolution, forward fixpoints, proof recording
peye/proof.py Certificate rendering and checking, with no solver dependency
peye/cli.py The command line
playground/ The browser playground, which runs the same package through Pyodide
tools/ Regenerating the saved example output, proofs and check reports

Search is an explicit machine, not nested host calls. A frame is one body being worked through; frames are immutable, so a choice point only has to remember the frame it was created in and backtracking is a pointer assignment. Depth is therefore bounded by max_depth and by memory rather than by Python’s recursion limit.

One substitution is threaded through a search, restored by an undo trail when a branch fails, so an alternative costs the bindings it actually made instead of a copy of the whole map. The trail records each name’s previous value, which also makes it safe for a dereference to shorten a chain of variable-to-variable bindings as it walks one. Together these make an N-step derivation cost O(N); without either it costs O(N²). One consequence worth knowing: an answer’s bindings are valid only until the next answer is requested.

Unification is on finite trees. An occurs check rejects a binding that would create a cycle. Fresh variable names are rendered injectively, so an internal X#1 can never be confused with a source variable named X_1.

A program is Python, a document is data. A program file is Python code you wrote, and running it states its clauses. A conclusion file, a proof or a check report is only ever parsed: the reader accepts literals, names, calls of a plain name, list displays, binding dictionaries and the operators peye writes, and nothing else, so a document cannot run code or change how another is read.

Stratification matches whole terms, not just predicate names. Forward rules that use negation or collection run only after everything they inspect has reached its fixpoint. Because the analysis compares complete head and body terms, two relations sharing a predicate name can occupy different strata when their argument patterns do not overlap — which is exactly what you need when everything is t/3. Positive cycles stay in one stratum; closed dependency cycles are rejected, as are dynamic calls reachable from forward rules.

Forward rounds are semi-naive. After a forward rule’s first search, a rule whose body goals are all answered by facts alone (or are primitives, negations or collections) is searched only for activations that use a fact derived since its previous search: once for each body goal that has such facts, that goal limited to them and the goals before it to the older ones. The activations found are then sorted into the order a full search would find them, by the fact or clause each body goal took, so the conclusions, their order and their proofs are those of Section 7.2. A transitive closure over a chain of 150 edges needs 11,476 inferences this way instead of 1,136,575.

Proof steps record the first derivation found for each conclusion, and are recorded only when a proof is asked for: without one, the search keeps just what it needs to find answers. Nodes carry the terms they were built from and are resolved once, by whoever consumes a complete answer, so a conjunction does not re-copy the proof forest for each of its goals. Renaming a clause apart shares every subterm that holds no variable, since terms never change once built.