from __future__ import annotations import json from pathlib import Path import pytest from shiftedx_bench.context import ContextSpec, build_context_case, expand_context_config from shiftedx_bench.boundary import probe_context_boundary from shiftedx_bench.holdout import derive_holdout_config class CharTokenizer: fingerprint = "char-tokenizer-v1" def encode(self, text: str) -> list[int]: return [ord(value) for value in text] def decode(self, token_ids: list[int]) -> str: return "".join(chr(value) for value in token_ids) def render_chat(self, messages): return "".join(f"<{item['role']}>\n{item['content']}\n" for item in messages) + "\n" def token_offset(self, rendered_text: str, substring: str) -> int: value = rendered_text.index(substring) return len(self.encode(rendered_text[:value])) def test_smoke_plan_has_expected_coverage(): root = Path(__file__).resolve().parents[1] config = json.loads((root / "configs/context-smoke-v1.json").read_text()) specs = expand_context_config(config) assert len(specs) == 19 assert {spec.target_tokens for spec in specs} >= {4096, 32768, 131072, 260096} assert {spec.query_placement for spec in specs} == {"before", "after"} def test_quant_gate_is_bounded_but_multidimensional(): root = Path(__file__).resolve().parents[1] config = json.loads((root / "configs/context-quant-gate-v1.json").read_text()) specs = expand_context_config(config) assert len(specs) == 15 assert sum(spec.target_tokens for spec in specs) == 372736 assert {spec.target_tokens for spec in specs} == {4096, 16384, 65536, 131072} assert {spec.family for spec in specs} == { "single_key", "binding", "latest_record", "multi_hop", "semantic", "state_tracking" } assert {spec.query_placement for spec in specs} == {"before", "after"} def test_max_window_sentinel_is_explicitly_separate(): root = Path(__file__).resolve().parents[1] config = json.loads((root / "configs/context-max-window-v1.json").read_text()) specs = expand_context_config(config) assert len(specs) == 1 assert specs[0].target_tokens == 260096 assert specs[0].family == "single_key" @pytest.mark.parametrize( "family", ["single_key", "binding", "latest_record", "multi_hop", "semantic", "state_tracking"], ) @pytest.mark.parametrize("position", [0.01, 0.5, 0.99]) def test_context_is_exact_and_positioned(family: str, position: float): spec = ContextSpec("suite", "matrix", family, 12000, position, 173) case = build_context_case(spec, CharTokenizer()) assert case.metadata["actual_rendered_tokens"] == 12000 assert abs(case.metadata["actual_primary_position"] - position) <= 0.003 assert set(case.expected) >= {"start_sentinel", "end_sentinel", "record"} def test_rejects_duplicate_identifiers(): config = { "suite_id": "x", "matrices": [{ "name": "m", "families": ["single_key", "single_key"], "lengths": [4096], "positions": [0.5], "seeds": [1] }], } with pytest.raises(ValueError, match="duplicate"): expand_context_config(config) def test_holdout_derivation_is_stable_and_release_specific(): template = { "suite_id": "x", "context_window": 8192, "reserved_output_tokens": 512, "matrices": [{"name":"m","families":["single_key"],"lengths":[4096],"positions":[.5],"seeds":[1,2]}], } first = derive_holdout_config(template, "a sufficiently long private key", "r1") second = derive_holdout_config(template, "a sufficiently long private key", "r1") third = derive_holdout_config(template, "a sufficiently long private key", "r2") assert first == second assert first["matrices"][0]["seeds"] != third["matrices"][0]["seeds"] assert "private key" not in str(first) def test_rejects_prompt_beyond_reserved_output_budget(): config = { "suite_id":"x", "context_window":4096, "reserved_output_tokens":512, "matrices":[{"name":"m","families":["single_key"],"lengths":[3585],"positions":[.5],"seeds":[1]}], } with pytest.raises(ValueError, match="exceeds"): expand_context_config(config) def test_boundary_probe_requires_explicit_server_rejection(): class RejectingClient: def complete(self, payload, stream=False): raise RuntimeError("HTTP 400: context window exceeded") result = probe_context_boundary( client=RejectingClient(), tokenizer=CharTokenizer(), model="m", context_window=4096, reserved_output_tokens=512, ) assert result["passed"]