arborist/tests/test_pi_star.py
russell@unturf.com abe5988bef
fan-out: 5 π* graduations close the registry chapter
tabular-pinned@v1 + calculus-limit@v1 + calculus-series@v1 +
linear-algebra@v1 + function-sampled@v1 — all reserved stubs
graduated; the π* registry is now 15 concrete kernels with no
remaining reserved-stub entries.

#000030 Phase 4 — calculus-limit@v1
====================================

sp.limit with thread-timeout. One-sided dir support (+/-/+-).
Pinned spelling for infinity cases: b"+oo" / b"-oo" / b"zoo"
(complex infinity) — bypasses sp.expand since Infinity isn't
algebraic. Finite results re-canonicalize through algebra-symbolic
recipe (sp.expand + sp.srepr). Unevaluated cases / timeouts emit
b"unevaluated:" + sp.srepr(<Limit>) sentinel, mirroring
calculus-integral's pattern.

#000030 Phase 5 — calculus-series@v1
=====================================

sp.series(f, x, x0, n).removeO() → sp.expand → sp.srepr. Drops
O(x**n) remainder explicitly so the canonical form is finite-byte.
Sentinel format mirrors limit/integral: b"unevaluated:Series(...)"
on timeout. n must be a positive int; 0 / float / negative rejected.

#000030 Phase 6 — linear-algebra@v1
====================================

Single π* covers the whole linear-algebra surface via {op, matrix}
JSON. Ops: rref / det / eigenvalues / inverse. Matrix cells go
through Fraction(Decimal(str(...))) for floats so 1, 1.0, "1.0"
all collapse to Rational(1, 1) — matching arithmetic@v1's
discipline. Without this fold, sp.sympify keeps floats as Float
(separate type) and downstream det/inverse return Float-shaped
bytes. Eigenvalues are sorted by srepr for determinism.

Output formats:
  rref / inverse:  rows/cols header + cells joined by | (rows by ||)
  det:             det:<num/den-or-srepr>
  eigenvalues:     eigenvalues:<value-1>x<mult-1>|...

#000030 Phase 7 — function-sampled@v1
======================================

Bridge to time-series-quantized@v1. SymPy expression + linspace
grid → quantized integer-vector signature in time-series's exact
output format (dt=...;dv=...;n=...;t0=0:v0|v1|...). Two functions
that render identically (within sample-grid tolerance) collapse
to the same canonical bytes. This is what plotting CAN become
in π* terms — the PNG render is a downstream view of the same
canonical evidence.

Math-only sampler (no numpy in the dep surface); Python's round()
is banker's-rounding so the bytes are interchangeable with
time-series-quantized@v1's output. Complex / non-finite samples
raise PiStarError rather than silently dropping imaginary parts.

tabular-pinned@v1 — last reserved stub graduates
=================================================

JSON-rows input ({schema, key_columns, rows}); declared
key_columns sort policy (stable sort by primary-key tuple);
type-fold per column (int/rational/bool through arithmetic@v1
discipline; str verbatim; bool normalized). Header case is
PINNED EXACT — Excel and PostgreSQL both care about case;
defaulting to lowercase-fold would break operator expectations.

Output: header (schema + key + n) + rows joined by \n + cells by |.

The π* registry has no remaining reserved stubs. Every modality
the substrate paper reserved is now real.

Test suite: 1568 passed (was 1467; +101). New closure-criterion
test (test_no_stub_pi_stars_remain) replaces the old reserved-stub
parametrize — adding a future stub re-opens this list.

110/110 fixtures pass across the 5 new bench-5s-* targets.
PHASE_1_CARRIERS gained calculus / linear-algebra / function-sampled
/ tabular.
2026-05-09 13:04:43 -04:00

741 lines
23 KiB
Python

"""π* domain library tests (ticket #000015).
Covers:
- Registry contains the expected built-in π*'s after import
- Round-trip determinism for active π*'s
- Stubs raise NotImplementedError
- Composition algebra: chain produces same output as sequential calls
- Composition manifest fingerprint stability
- Existing arborist.wikitext.to_base behavior preserved
"""
from __future__ import annotations
import pytest
from arborist.pi_star import (
REGISTRY,
canonical_composition_id,
compose,
domains,
get,
list_keys,
)
from arborist.pi_star.protocol import (
PiStarError,
assert_round_trip,
equivalence_class_id,
)
# --- registry --------------------------------------------------------
def test_registry_contains_expected_keys():
keys = list_keys()
assert "wikitext-base@v1" in keys
assert "claim-lattice@v1" in keys
assert "code-py-ast@v1" in keys
assert "logic-kernel@v1" in keys
assert "time-series-quantized@v1" in keys
assert "tabular-pinned@v1" in keys
def test_domains_groups_by_domain():
d = domains()
assert "code-py-ast@v1" in d.get("code", [])
assert "logic-kernel@v1" in d.get("logic", [])
assert "time-series-quantized@v1" in d.get("time-series", [])
def test_get_unknown_raises():
with pytest.raises(KeyError):
get("nonexistent@v999")
# --- wikitext-base@v1 -----------------------------------------------
def test_wikitext_base_round_trip():
pi_star = get("wikitext-base@v1")
raw = b"Plain ''italic'' [[link|word]] text."
once = pi_star.canonicalize(raw)
twice = pi_star.canonicalize(once)
assert once == twice
assert_round_trip(pi_star, raw)
def test_wikitext_base_rejects_non_bytes():
pi_star = get("wikitext-base@v1")
with pytest.raises(PiStarError):
pi_star.canonicalize("not bytes") # type: ignore[arg-type]
def test_wikitext_base_equivalence_class():
pi_star = get("wikitext-base@v1")
raw = b"Plain text."
eid = equivalence_class_id(pi_star, raw)
assert len(eid) == 64 # SHA-256 hex
def test_wikitext_base_matches_legacy_to_base():
"""Re-home preserves identical output to the legacy
``arborist.wikitext.to_base`` API."""
from arborist.wikitext import to_base
pi_star = get("wikitext-base@v1")
raw_text = "Some [[link|text]] with ''italics''."
legacy = to_base(raw_text).encode("utf-8")
via_pi_star = pi_star.canonicalize(raw_text.encode("utf-8"))
assert legacy == via_pi_star
# --- claim-lattice@v1 ------------------------------------------------
def test_claim_lattice_round_trip_on_lattice_text():
"""Canonicalize is idempotent: canonicalize(canonicalize(x)) ==
canonicalize(x). Note: the canonical form is a JSON list, so the
second canonicalization re-parses the JSON as text and produces
a different list — these projections are NOT idempotent on raw
text. We only assert determinism under the same input."""
pi_star = get("claim-lattice@v1")
sample = (
b"- A claim. [E1]\n"
b"- Another claim. [E2]\n"
)
once = pi_star.canonicalize(sample)
twice = pi_star.canonicalize(sample)
assert once == twice
def test_claim_lattice_rejects_non_bytes():
pi_star = get("claim-lattice@v1")
with pytest.raises(PiStarError):
pi_star.canonicalize(123) # type: ignore[arg-type]
def test_claim_lattice_empty_input_returns_empty_array():
pi_star = get("claim-lattice@v1")
out = pi_star.canonicalize(b"")
assert out == b"[]"
# --- stubs ---------------------------------------------------------
def test_no_stub_pi_stars_remain():
"""Closure-criterion guard: every reserved-stub π* has graduated.
History:
- 2026-05-07 (#000015): six concrete + four reserved stubs
(``code-py-ast``, ``logic-kernel``, ``time-series-quantized``,
``tabular-pinned``).
- 2026-05-08: arithmetic / logic-kernel / code-py-ast /
time-series-quantized graduated.
- 2026-05-09 (#000030 + tabular phase): algebra-symbolic /
calculus-derivative / -integral / -limit / -series /
linear-algebra / function-sampled / tabular-pinned all real.
Adding a new reserved stub re-opens this list; that's the
governance event this test pins."""
from arborist.pi_star import REGISTRY
for key, pi_star in REGISTRY.items():
# A stub raises NotImplementedError on any input; a real
# canonicalizer either succeeds or raises PiStarError on
# bad input. We probe with empty bytes — most real kernels
# raise PiStarError; none should raise NotImplementedError.
try:
pi_star.canonicalize(b"")
except NotImplementedError:
raise AssertionError(
f"π* {key!r} still raises NotImplementedError — "
f"reserved stub not yet graduated"
)
except Exception:
# Any other exception (PiStarError, ValueError, etc.)
# means the kernel is real.
pass
# --- time-series-quantized@v1 (graduated from stub) ------------------
def test_time_series_canonicalizes_basic_series():
import json as _json
pi_star = get("time-series-quantized@v1")
src = _json.dumps({"dt": 1, "dv": 0.1, "samples": [[0, 1.0], [1, 2.5]]}).encode()
out = pi_star.canonicalize(src)
assert out == b"dt=1;dv=0.1;n=2;t0=0:10|25"
def test_time_series_collapses_jitter_within_resolution():
"""Timestamps off by < dt/2 quantize to the same grid index."""
import json as _json
pi_star = get("time-series-quantized@v1")
a = _json.dumps({"dt": 1, "dv": 0.1, "samples": [[0, 1.0], [1, 2.0]]}).encode()
b = _json.dumps({"dt": 1, "dv": 0.1, "samples": [[0.4, 1.04], [1.3, 2.0]]}).encode()
assert pi_star.canonicalize(a) == pi_star.canonicalize(b)
def test_time_series_sorts_out_of_order_samples():
import json as _json
pi_star = get("time-series-quantized@v1")
sorted_input = _json.dumps({"dt": 1, "dv": 1, "samples": [[0, 1], [1, 2], [2, 3]]}).encode()
shuffled = _json.dumps({"dt": 1, "dv": 1, "samples": [[2, 3], [0, 1], [1, 2]]}).encode()
assert pi_star.canonicalize(sorted_input) == pi_star.canonicalize(shuffled)
def test_time_series_distinguishes_different_dt():
import json as _json
pi_star = get("time-series-quantized@v1")
a = _json.dumps({"dt": 1, "dv": 1, "samples": [[0, 1]]}).encode()
b = _json.dumps({"dt": 2, "dv": 1, "samples": [[0, 1]]}).encode()
assert pi_star.canonicalize(a) != pi_star.canonicalize(b)
def test_time_series_distinguishes_different_dv():
import json as _json
pi_star = get("time-series-quantized@v1")
a = _json.dumps({"dt": 1, "dv": 0.1, "samples": [[0, 1.0]]}).encode()
b = _json.dumps({"dt": 1, "dv": 1.0, "samples": [[0, 1.0]]}).encode()
assert pi_star.canonicalize(a) != pi_star.canonicalize(b)
def test_time_series_distinguishes_different_values():
import json as _json
pi_star = get("time-series-quantized@v1")
a = _json.dumps({"dt": 1, "dv": 1, "samples": [[0, 1]]}).encode()
b = _json.dumps({"dt": 1, "dv": 1, "samples": [[0, 2]]}).encode()
assert pi_star.canonicalize(a) != pi_star.canonicalize(b)
def test_time_series_dedupes_collisions_keeping_last():
"""Two samples at the same quantized timestamp: last wins."""
import json as _json
pi_star = get("time-series-quantized@v1")
src = _json.dumps({"dt": 1, "dv": 1, "samples": [[0, 1], [0.3, 5]]}).encode()
out = pi_star.canonicalize(src)
# Both timestamps quantize to t_idx=0; second sample (5) wins.
assert out == b"dt=1;dv=1;n=1;t0=0:5"
def test_time_series_handles_empty_samples():
import json as _json
pi_star = get("time-series-quantized@v1")
out = pi_star.canonicalize(_json.dumps({"dt": 1, "dv": 1, "samples": []}).encode())
assert out == b"dt=1;dv=1;n=0;t0=0:"
def test_time_series_rejects_non_json():
from arborist.pi_star.protocol import PiStarError
pi_star = get("time-series-quantized@v1")
with pytest.raises(PiStarError, match="not valid JSON"):
pi_star.canonicalize(b"not json")
def test_time_series_rejects_missing_fields():
import json as _json
from arborist.pi_star.protocol import PiStarError
pi_star = get("time-series-quantized@v1")
with pytest.raises(PiStarError, match="missing required field"):
pi_star.canonicalize(_json.dumps({"dt": 1, "samples": []}).encode())
def test_time_series_rejects_zero_dt():
import json as _json
from arborist.pi_star.protocol import PiStarError
pi_star = get("time-series-quantized@v1")
with pytest.raises(PiStarError, match="dt must be positive"):
pi_star.canonicalize(_json.dumps({"dt": 0, "dv": 1, "samples": []}).encode())
def test_time_series_rejects_negative_dv():
import json as _json
from arborist.pi_star.protocol import PiStarError
pi_star = get("time-series-quantized@v1")
with pytest.raises(PiStarError, match="dv must be positive"):
pi_star.canonicalize(_json.dumps({"dt": 1, "dv": -1, "samples": []}).encode())
def test_time_series_rejects_non_pair_samples():
import json as _json
from arborist.pi_star.protocol import PiStarError
pi_star = get("time-series-quantized@v1")
with pytest.raises(PiStarError, match="\\[timestamp, value\\] pair"):
pi_star.canonicalize(_json.dumps({"dt": 1, "dv": 1, "samples": [[1, 2, 3]]}).encode())
def test_time_series_deterministic_across_repeated_calls():
import json as _json
pi_star = get("time-series-quantized@v1")
src = _json.dumps({"dt": 0.5, "dv": 0.01, "samples": [[0, 0.05], [0.5, 0.10], [1.0, 0.15]]}).encode()
a = pi_star.canonicalize(src)
b = pi_star.canonicalize(src)
c = pi_star.canonicalize(src)
assert a == b == c
# --- code-py-ast@v1 (graduated from stub) ----------------------------
def test_code_py_ast_canonicalizes_simple_assign():
pi_star = get("code-py-ast@v1")
out = pi_star.canonicalize(b"x = 1")
assert isinstance(out, bytes)
assert b"Assign" in out
assert b"Constant" in out
def test_code_py_ast_collapses_whitespace_and_comments():
pi_star = get("code-py-ast@v1")
a = pi_star.canonicalize(b"def foo(): pass")
b = pi_star.canonicalize(b"def foo():\n pass # comment")
assert a == b
def test_code_py_ast_collapses_quote_style():
pi_star = get("code-py-ast@v1")
a = pi_star.canonicalize(b"s = 'hello'")
b = pi_star.canonicalize(b's = "hello"')
assert a == b
def test_code_py_ast_collapses_operator_spacing():
pi_star = get("code-py-ast@v1")
a = pi_star.canonicalize(b"y = 1+2")
b = pi_star.canonicalize(b"y = 1 + 2")
assert a == b
def test_code_py_ast_distinguishes_identifiers():
pi_star = get("code-py-ast@v1")
a = pi_star.canonicalize(b"def foo(): pass")
b = pi_star.canonicalize(b"def bar(): pass")
assert a != b
def test_code_py_ast_distinguishes_operators():
pi_star = get("code-py-ast@v1")
a = pi_star.canonicalize(b"y = a + b")
b = pi_star.canonicalize(b"y = a - b")
assert a != b
def test_code_py_ast_distinguishes_argument_order():
pi_star = get("code-py-ast@v1")
a = pi_star.canonicalize(b"f(x, y)")
b = pi_star.canonicalize(b"f(y, x)")
assert a != b
def test_code_py_ast_rejects_non_bytes():
from arborist.pi_star.protocol import PiStarError
pi_star = get("code-py-ast@v1")
with pytest.raises(PiStarError):
pi_star.canonicalize("not bytes") # type: ignore[arg-type]
def test_code_py_ast_rejects_invalid_python():
from arborist.pi_star.protocol import PiStarError
pi_star = get("code-py-ast@v1")
with pytest.raises(PiStarError):
pi_star.canonicalize(b"def foo( malformed")
def test_code_py_ast_deterministic_across_repeated_calls():
pi_star = get("code-py-ast@v1")
src = b"class Foo:\n def bar(self, x):\n return x + 1\n"
a = pi_star.canonicalize(src)
b = pi_star.canonicalize(src)
c = pi_star.canonicalize(src)
assert a == b == c
def test_code_py_ast_handles_empty_source():
pi_star = get("code-py-ast@v1")
out = pi_star.canonicalize(b"")
# Empty source parses to ast.Module(body=[], type_ignores=[]).
assert b"Module" in out
assert b"body=[]" in out
def test_code_py_ast_equivalence_class_id_format():
pi_star = get("code-py-ast@v1")
eid = equivalence_class_id(pi_star, b"x = 1")
assert len(eid) == 64
# Same source twice → same id.
assert eid == equivalence_class_id(pi_star, b"x = 1")
# --- arithmetic@v1 (graduated from stub) -----------------------------
def test_arithmetic_canonicalizes_integer():
pi_star = get("arithmetic@v1")
assert pi_star.canonicalize(b"3") == b"3/1"
assert pi_star.canonicalize(b"-7") == b"-7/1"
def test_arithmetic_canonicalizes_decimal_exactly():
"""SQD §14.1: 0.1 must canonicalize to 1/10 exactly."""
pi_star = get("arithmetic@v1")
assert pi_star.canonicalize(b"0.1") == b"1/10"
assert pi_star.canonicalize(b"0.5") == b"1/2"
assert pi_star.canonicalize(b"0.25") == b"1/4"
def test_arithmetic_solves_classic_floating_point_question():
"""The SQD canonical example: 0.1 + 0.2 == 0.3 exactly."""
pi_star = get("arithmetic@v1")
a = pi_star.canonicalize(b"0.1+0.2")
b = pi_star.canonicalize(b"0.3")
assert a == b == b"3/10"
def test_arithmetic_collapses_equivalent_expressions():
pi_star = get("arithmetic@v1")
assert pi_star.canonicalize(b"1+2") == pi_star.canonicalize(b"3")
assert pi_star.canonicalize(b"(1+2)*3") == pi_star.canonicalize(b"9")
assert pi_star.canonicalize(b"6/4") == pi_star.canonicalize(b"3/2")
def test_arithmetic_distinguishes_distinct_values():
pi_star = get("arithmetic@v1")
assert pi_star.canonicalize(b"1+2") != pi_star.canonicalize(b"4")
assert pi_star.canonicalize(b"1/2") != pi_star.canonicalize(b"1/3")
def test_arithmetic_supports_integer_exponent():
pi_star = get("arithmetic@v1")
assert pi_star.canonicalize(b"2**3") == b"8/1"
assert pi_star.canonicalize(b"3**2") == b"9/1"
def test_arithmetic_rejects_division_by_zero():
from arborist.pi_star.protocol import PiStarError
pi_star = get("arithmetic@v1")
with pytest.raises(PiStarError, match="division by zero"):
pi_star.canonicalize(b"1/0")
def test_arithmetic_rejects_variables():
from arborist.pi_star.protocol import PiStarError
pi_star = get("arithmetic@v1")
with pytest.raises(PiStarError, match="identifier"):
pi_star.canonicalize(b"x + 1")
def test_arithmetic_rejects_non_integer_exponent():
from arborist.pi_star.protocol import PiStarError
pi_star = get("arithmetic@v1")
with pytest.raises(PiStarError, match="non-integer exponent"):
pi_star.canonicalize(b"2 ** 0.5")
def test_arithmetic_rejects_function_calls():
from arborist.pi_star.protocol import PiStarError
pi_star = get("arithmetic@v1")
with pytest.raises(PiStarError, match="function call"):
pi_star.canonicalize(b"abs(-5)")
def test_arithmetic_rejects_invalid_syntax():
from arborist.pi_star.protocol import PiStarError
pi_star = get("arithmetic@v1")
with pytest.raises(PiStarError):
pi_star.canonicalize(b"1 +")
def test_arithmetic_rejects_empty_input():
from arborist.pi_star.protocol import PiStarError
pi_star = get("arithmetic@v1")
with pytest.raises(PiStarError, match="empty"):
pi_star.canonicalize(b"")
def test_arithmetic_canonical_form_is_idempotent():
pi_star = get("arithmetic@v1")
once = pi_star.canonicalize(b"6/4")
twice = pi_star.canonicalize(once)
assert once == twice == b"3/2"
def test_arithmetic_handles_negative_results():
pi_star = get("arithmetic@v1")
assert pi_star.canonicalize(b"-(1+2)") == b"-3/1"
assert pi_star.canonicalize(b"3 - 5") == b"-2/1"
# --- logic-kernel@v1 (graduated from stub) ---------------------------
def test_logic_kernel_canonicalizes_simple_and():
pi_star = get("logic-kernel@v1")
assert pi_star.canonicalize(b"A AND B") == b"A AND B"
def test_logic_kernel_commutativity():
pi_star = get("logic-kernel@v1")
assert pi_star.canonicalize(b"A AND B") == pi_star.canonicalize(b"B AND A")
assert pi_star.canonicalize(b"A OR B") == pi_star.canonicalize(b"B OR A")
def test_logic_kernel_associativity():
pi_star = get("logic-kernel@v1")
a = pi_star.canonicalize(b"(A AND B) AND C")
b = pi_star.canonicalize(b"A AND (B AND C)")
assert a == b
def test_logic_kernel_impl_rewrite():
pi_star = get("logic-kernel@v1")
assert pi_star.canonicalize(b"A IMPL B") == pi_star.canonicalize(b"NOT A OR B")
def test_logic_kernel_iff_rewrite():
pi_star = get("logic-kernel@v1")
a = pi_star.canonicalize(b"A IFF B")
b = pi_star.canonicalize(b"(NOT A OR B) AND (NOT B OR A)")
assert a == b
def test_logic_kernel_xor_rewrite():
pi_star = get("logic-kernel@v1")
a = pi_star.canonicalize(b"A XOR B")
b = pi_star.canonicalize(b"(A OR B) AND (NOT A OR NOT B)")
assert a == b
def test_logic_kernel_de_morgans():
pi_star = get("logic-kernel@v1")
a = pi_star.canonicalize(b"NOT (A AND B)")
b = pi_star.canonicalize(b"(NOT A) OR (NOT B)")
assert a == b
def test_logic_kernel_double_negation():
pi_star = get("logic-kernel@v1")
assert pi_star.canonicalize(b"NOT NOT A") == pi_star.canonicalize(b"A")
def test_logic_kernel_distribution():
pi_star = get("logic-kernel@v1")
a = pi_star.canonicalize(b"A OR (B AND C)")
b = pi_star.canonicalize(b"(A OR B) AND (A OR C)")
assert a == b
def test_logic_kernel_tautology_collapses_to_true():
pi_star = get("logic-kernel@v1")
assert pi_star.canonicalize(b"A OR NOT A") == b"TRUE"
assert pi_star.canonicalize(b"TRUE") == b"TRUE"
def test_logic_kernel_idempotence():
pi_star = get("logic-kernel@v1")
assert pi_star.canonicalize(b"A AND A") == pi_star.canonicalize(b"A")
assert pi_star.canonicalize(b"A OR A") == pi_star.canonicalize(b"A")
def test_logic_kernel_distinguishes_logically_distinct():
pi_star = get("logic-kernel@v1")
assert pi_star.canonicalize(b"A AND B") != pi_star.canonicalize(b"A OR B")
assert pi_star.canonicalize(b"A IMPL B") != pi_star.canonicalize(b"B IMPL A")
def test_logic_kernel_caps_atom_count():
from arborist.pi_star.protocol import PiStarError
pi_star = get("logic-kernel@v1")
expr = b"A AND B AND C AND D AND E AND F AND G AND H AND I"
with pytest.raises(PiStarError, match="caps atoms at"):
pi_star.canonicalize(expr)
def test_logic_kernel_rejects_empty():
from arborist.pi_star.protocol import PiStarError
pi_star = get("logic-kernel@v1")
with pytest.raises(PiStarError, match="empty"):
pi_star.canonicalize(b"")
def test_logic_kernel_rejects_invalid_syntax():
from arborist.pi_star.protocol import PiStarError
pi_star = get("logic-kernel@v1")
with pytest.raises(PiStarError):
pi_star.canonicalize(b"A AND")
def test_logic_kernel_canonical_form_is_idempotent():
pi_star = get("logic-kernel@v1")
src = b"(A OR B) AND (NOT A OR C)"
once = pi_star.canonicalize(src)
twice = pi_star.canonicalize(once)
assert once == twice
def test_logic_kernel_contrapositive_equivalence():
"""A IMPL B ≡ NOT B IMPL NOT A"""
pi_star = get("logic-kernel@v1")
a = pi_star.canonicalize(b"A IMPL B")
b = pi_star.canonicalize(b"(NOT B) IMPL (NOT A)")
assert a == b
# --- composition --------------------------------------------------
def test_compose_text_then_claim_lattice():
"""Chaining wikitext-base@v1 then claim-lattice@v1 produces the
same bytes as applying them sequentially."""
composition = compose(
"wikitext-base@v1",
"claim-lattice@v1",
register_in_registry=False,
)
raw = b"- A simple claim. [E1]"
via_composition = composition.canonicalize(raw)
inner = get("wikitext-base@v1")
outer = get("claim-lattice@v1")
sequential = outer.canonicalize(inner.canonicalize(raw))
assert via_composition == sequential
def test_compose_registers_into_registry():
"""compose(register_in_registry=True) puts the composition in REGISTRY."""
pre = list_keys()
composition = compose(
"wikitext-base@v1",
"claim-lattice@v1",
name="wikitext-then-claims-test",
version="vt",
)
post = list_keys()
assert "wikitext-then-claims-test@vt" in post
assert len(post) == len(pre) + 1
assert composition.domain == "text-or-wikitext"
def test_compose_unknown_inner_rejected():
with pytest.raises(KeyError):
compose("nope@v1", "claim-lattice@v1")
def test_compose_unknown_outer_rejected():
with pytest.raises(KeyError):
compose("wikitext-base@v1", "nope@v1")
def test_canonical_composition_id_stable():
a = canonical_composition_id("wikitext-base@v1", "claim-lattice@v1")
b = canonical_composition_id("wikitext-base@v1", "claim-lattice@v1")
assert a == b
# Order matters: a∘b ≠ b∘a.
swapped = canonical_composition_id(
"claim-lattice@v1", "wikitext-base@v1"
)
assert a != swapped
# --- protocol helpers (low-level unit) ----------------------------
def test_assert_round_trip_passes_on_idempotent_pi_star():
"""A π* that is idempotent on its inputs should not raise."""
pi_star = get("wikitext-base@v1")
assert_round_trip(pi_star, b"plain text") # no exception expected
def test_assert_round_trip_raises_on_non_idempotent():
"""A custom π* whose canonicalize is non-idempotent triggers
AssertionError. Construct one inline."""
from dataclasses import dataclass
@dataclass
class _Counter:
name: str = "_counter-pi-star"
version: str = "v1"
domain: str = "text"
n_calls: int = 0
def canonicalize(self, raw: bytes) -> bytes:
# Append a counter byte each call → never idempotent.
self.n_calls += 1
return raw + str(self.n_calls).encode()
bad = _Counter()
with pytest.raises(AssertionError):
assert_round_trip(bad, b"hello")
def test_equivalence_class_id_deterministic():
pi_star = get("wikitext-base@v1")
a = equivalence_class_id(pi_star, b"text")
b = equivalence_class_id(pi_star, b"text")
assert a == b
assert len(a) == 64
def test_equivalence_class_id_changes_with_input():
pi_star = get("wikitext-base@v1")
a = equivalence_class_id(pi_star, b"text one")
b = equivalence_class_id(pi_star, b"text two")
assert a != b
def test_registry_key_format():
from arborist.pi_star.protocol import registry_key
pi_star = get("wikitext-base@v1")
key = registry_key(pi_star)
assert "@" in key
name, version = key.split("@", 1)
assert name == "wikitext-base"
assert version == "v1"
# --- domains() smoke -----------------------------------------------
def test_domains_groups_keys_by_domain():
"""Every registered π* surfaces under exactly one domain key."""
d = domains()
all_keys: set[str] = set()
for keys in d.values():
for k in keys:
assert k not in all_keys, f"duplicate key across domains: {k}"
all_keys.add(k)
# Sanity: total keys == len(REGISTRY) less any non-PiStar keys.
assert len(all_keys) >= 6 # 2 active + 4 stubs minimum