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f039f41 335e669 a642242 f039f41 9ddbe3c f039f41 a642242 335e669 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 | from __future__ import annotations
from pathlib import Path
from shiftedx_bench.models import BenchCase
from shiftedx_bench.cli import make_parser
from shiftedx_bench.release import sanitize_manifest, sanitize_result_row, scan_public_tree
from shiftedx_bench.runner import run_cases
from shiftedx_bench.summary import summarize_results
from shiftedx_bench.util import read_jsonl
class FakeClient:
def __init__(self, prompt_tokens=10): self.prompt_tokens = prompt_tokens
def complete(self, payload, stream=False):
return {
"content": '{"answer":7}', "reasoning_content": "", "tool_calls": [],
"finish_reason": "stop", "usage": {"prompt_tokens": self.prompt_tokens, "completion_tokens": 5},
"prompt_tokens": self.prompt_tokens, "completion_tokens": 5, "wall_s": 1.0,
"ttft_s": 0.2, "end_to_end_tokens_per_second": 5.0, "mtplx_stats": {},
}
def test_runner_resumes_and_enforces_server_token_count(tmp_path):
case = BenchCase(
case_id="c", suite_id="s", lane="long-context", messages=[{"role":"user","content":"x"}],
scorer="strict_json_exact", expected={"answer": 7},
metadata={"target_prompt_tokens": 10, "requested_position": .5, "family": "single"},
)
output = tmp_path / "results.jsonl"
run_cases([case], client=FakeClient(), model="m", output_path=output)
run_cases([case], client=FakeClient(), model="m", output_path=output)
rows = read_jsonl(output)
assert len(rows) == 1 and rows[0]["passed"]
mismatch = tmp_path / "mismatch.jsonl"
run_cases([case], client=FakeClient(prompt_tokens=9), model="m", output_path=mismatch)
assert not read_jsonl(mismatch)[0]["passed"]
def test_summary_separates_scorecards_and_context():
rows = []
for length, passed in [(4096, True), (8192, True), (16384, False)]:
rows.append({
"variant":"ar", "lane":"long-context", "case_id":str(length), "passed":passed,
"metadata":{"target_prompt_tokens":length,"requested_position":.5,"family":"single"},
"telemetry":{"wall_s":1.0,"ttft_s":.1,"end_to_end_tokens_per_second":10.0},
})
summary = summarize_results(rows, effective_threshold=.9)
assert summary["context"]["ar"]["effective_context_length"] == 8192
assert summary["interpretation"]["single_intelligence_score"] is None
def test_summary_uses_explicit_baseline_and_reports_regressions():
rows = [
{"variant": "parent", "lane": "quality", "case_id": "a", "passed": True, "metadata": {}, "telemetry": {}},
{"variant": "candidate", "lane": "quality", "case_id": "a", "passed": False, "metadata": {}, "telemetry": {}},
]
summary = summarize_results(rows, baseline_variant="parent")
comparison = summary["parity"]["candidate"]
assert comparison["baseline"] == "parent"
assert not comparison["zero_regression_gate"]
assert comparison["regressions"] == [{"case_id": "a", "lane": "quality"}]
def test_public_scan_detects_tokens_and_user_paths(tmp_path):
clean = tmp_path / "clean"
clean.mkdir()
(clean / "README.md").write_text("public documentation")
assert scan_public_tree(clean)["ok"]
fake_token = "h" + "f_" + "abcdefghijklmnopqrstuvwxyz1234"
fake_path = "/" + "Users/example/private"
(clean / "bad.txt").write_text(fake_token + "\n" + fake_path)
result = scan_public_tree(clean)
assert not result["ok"]
assert {item["issue"] for item in result["failures"]} >= {"Hugging Face access token", "macOS user path"}
def test_public_result_export_omits_responses_paths_and_identifiers():
row = {
"schema_version": "1.0",
"run_id": "private-run",
"suite_id": "shiftedx-agentic-v1",
"case_id": "repair",
"lane": "agentic",
"variant": "candidate",
"passed": False,
"score": 0,
"score_max": 1,
"error": "FileNotFoundError: /" + "Users/example/private.py",
"response": {"content": "private output", "request_id": "request-private"},
"telemetry": {
"wall_s": 2.0,
"prompt_tokens": 10,
"harness_receipts": [{"tool": "read_file"}],
"turns": [{"request_id": "private"}],
},
"metadata": {
"agentic_control_profile": "shiftedx-harness-v1",
"agentic_family": "repair_loop",
"forbidden_calls": ["delete_file"],
},
"request_hash": "a" * 64,
}
public = sanitize_result_row(row)
assert public["error_category"] == "evaluation_error"
assert public["telemetry"] == {"wall_s": 2.0, "prompt_tokens": 10}
assert public["metadata"] == {
"agentic_control_profile": "shiftedx-harness-v1",
"agentic_family": "repair_loop",
}
text = str(public)
assert "private" not in text and ("/" + "Users/") not in text and "response" not in public
def test_public_manifest_export_keeps_revisions_and_drops_host_state():
manifest = {
"run_id": "private",
"created_at": "private",
"suite_id": "shiftedx-agentic-v1",
"benchmark_version": "0.5.0",
"model": "local-model",
"config_sha256": "a" * 64,
"tokenizer_fingerprint": "b" * 64,
"planned_cases": 30,
"variants": [{
"label": "candidate",
"request_overrides": {
"reasoning_effort": "medium",
"thinking": {"enabled": True},
"private_path": "/" + "Users/example",
},
}],
"environment": {"platform": "private-host"},
"evaluated_artifact": {"repo_id": "Org/Model", "revision": "c" * 40},
"benchmark_source": {"repo_id": "Shiftedx/shiftedx-bench", "revision": "d" * 40},
"agentic_control_profile": "shiftedx-harness-v1",
}
public = sanitize_manifest(manifest)
assert public["evaluated_artifact"]["revision"] == "c" * 40
assert public["benchmark_source"]["revision"] == "d" * 40
assert public["variants"][0]["request_overrides"] == {
"reasoning_effort": "medium",
"thinking": {"enabled": True},
}
assert "run_id" not in public and "environment" not in public and "model" not in public
def test_run_suite_accepts_immutable_post_publish_provenance():
args = make_parser().parse_args([
"run-suite",
"--base-url", "http://example.invalid/v1",
"--model", "served-model",
"--output", "results.jsonl",
"--config", "configs/suites-smoke-v1.json",
"--suite", "agentic",
"--hf-repo", "Org/Model",
"--hf-revision", "a" * 40,
"--benchmark-revision", "b" * 40,
])
assert args.hf_repo == "Org/Model"
assert args.hf_revision == "a" * 40
assert args.benchmark_revision == "b" * 40
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