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cc249f3 3bbb0bf cc249f3 3bbb0bf cc249f3 3bbb0bf cc249f3 3bbb0bf cc249f3 f60e0cb | 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 | from __future__ import annotations
import json
import pytest
from shiftedx_bench.model_card import (
END_MARKER,
START_MARKER,
render_benchmark_block,
update_model_card,
validate_post_publish_run,
)
MODEL_REPO = "Shiftedx/example-quant"
MODEL_REVISION = "a" * 40
BENCHMARK_REVISION = "b" * 40
VARIANT = "example"
def _write_run(tmp_path, *, omit_lane=None):
counts = {"long-context": 15, "quality": 10, "tools": 6, "agentic": 2, "vision": 4}
names = {"long-context": "context", "quality": "quality", "tools": "tools", "agentic": "agentic", "vision": "vision"}
for lane, count in counts.items():
if lane == omit_lane:
count -= 1
rows = []
for index in range(count):
metadata = {}
if lane == "long-context":
metadata = {
"target_prompt_tokens": [4096, 16384, 65536, 131072][min(index // 4, 3)],
"requested_position": 0.5,
"family": "single_key",
}
rows.append(
{
"schema_version": "1.0",
"variant": VARIANT,
"lane": lane,
"case_id": f"{lane}-{index}",
"passed": index != count - 1 if lane == "quality" else True,
"metadata": metadata,
"telemetry": {
"wall_s": 2.0,
"decode_tokens_per_second": 20.0,
"active_memory_bytes": 16 * 1024 ** 3,
},
}
)
(tmp_path / f"{names[lane]}.jsonl").write_text(
"".join(json.dumps(row) + "\n" for row in rows), encoding="utf-8"
)
manifest = {
"benchmark_version": "0.3.0",
"variants": [{"label": VARIANT, "request_overrides": {}}],
"evaluated_artifact": {"repo_id": MODEL_REPO, "revision": MODEL_REVISION},
"benchmark_source": {
"repo_id": "Shiftedx/shiftedx-bench",
"revision": BENCHMARK_REVISION,
},
}
(tmp_path / f"{names[lane]}.manifest.json").write_text(json.dumps(manifest), encoding="utf-8")
def test_post_publish_model_card_block_is_complete_and_idempotent(tmp_path):
_write_run(tmp_path)
rows, version = validate_post_publish_run(
tmp_path,
variant=VARIANT,
profile="vision",
model_repo=MODEL_REPO,
model_revision=MODEL_REVISION,
benchmark_revision=BENCHMARK_REVISION,
)
block = render_benchmark_block(
rows,
variant=VARIANT,
model_repo=MODEL_REPO,
model_revision=MODEL_REVISION,
benchmark_revision=BENCHMARK_REVISION,
benchmark_version=version,
host="Apple Silicon, 64 GiB",
runtime="MTPLX 2.7.1, reasoning on/medium, native tools",
kv_cache="off",
mtp_depth="3",
max_window_status="host-limited",
)
readme = "# Example\n\n## Provenance and integrity\n"
first = update_model_card(readme, block)
second = update_model_card(first, block)
assert first == second
assert first.count(START_MARKER) == first.count(END_MARKER) == 1
assert "15/15" in first
assert "host watchdog" in first
assert MODEL_REVISION in first and BENCHMARK_REVISION in first
def test_model_card_export_rejects_incomplete_or_wrong_revision(tmp_path):
_write_run(tmp_path, omit_lane="vision")
with pytest.raises(ValueError, match="Incomplete"):
validate_post_publish_run(
tmp_path,
variant=VARIANT,
profile="vision",
model_repo=MODEL_REPO,
model_revision=MODEL_REVISION,
benchmark_revision=BENCHMARK_REVISION,
)
with pytest.raises(ValueError, match="provenance mismatch"):
validate_post_publish_run(
tmp_path,
variant=VARIANT,
profile="text",
model_repo=MODEL_REPO,
model_revision="c" * 40,
benchmark_revision=BENCHMARK_REVISION,
)
def test_model_card_renders_null_effective_context_as_not_established(tmp_path):
_write_run(tmp_path)
context_path = tmp_path / "context.jsonl"
rows = [json.loads(line) for line in context_path.read_text().splitlines()]
for row in rows:
row["passed"] = False
context_path.write_text(
"".join(json.dumps(row) + "\n" for row in rows), encoding="utf-8"
)
validated, version = validate_post_publish_run(
tmp_path,
variant=VARIANT,
profile="vision",
model_repo=MODEL_REPO,
model_revision=MODEL_REVISION,
benchmark_revision=BENCHMARK_REVISION,
)
block = render_benchmark_block(
validated,
variant=VARIANT,
model_repo=MODEL_REPO,
model_revision=MODEL_REVISION,
benchmark_revision=BENCHMARK_REVISION,
benchmark_version=version,
host="Apple Silicon, 64 GiB",
runtime="MTPLX 2.7.1",
kv_cache="off",
mtp_depth="2",
max_window_status="not-run",
)
assert "effective tested context: not established at the benchmark's 90% threshold" in block
|