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chore: import upstream snapshot with attribution
2026-07-13 12:59:56 +08:00

344 lines
11 KiB
Python

# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
"""Tests for :mod:`utils.models.gguf_metadata`. Synthesise small GGUF headers
in tmp dirs so we never depend on real model files."""
from __future__ import annotations
import struct
from pathlib import Path
from typing import Iterable, Mapping
from utils.models.gguf_metadata import (
is_mmproj_by_metadata,
pairing_score,
read_gguf_context_length,
read_gguf_general_metadata,
read_mmproj_audio_capability,
)
_GGUF_MAGIC = 0x46554747
_VTYPE_STRING = 8
_VTYPE_UINT32 = 4
_VTYPE_UINT64 = 10
_VTYPE_ARRAY = 9
_VTYPE_BOOL = 7
def _enc_string(s: str) -> bytes:
b = s.encode("utf-8")
return struct.pack("<Q", len(b)) + b
def _enc_kv_string(key: str, value: str) -> bytes:
return _enc_string(key) + struct.pack("<I", _VTYPE_STRING) + _enc_string(value)
def _enc_kv_uint32(key: str, value: int) -> bytes:
return _enc_string(key) + struct.pack("<I", _VTYPE_UINT32) + struct.pack("<I", value)
def _enc_kv_uint64(key: str, value: int) -> bytes:
return _enc_string(key) + struct.pack("<I", _VTYPE_UINT64) + struct.pack("<Q", value)
def _enc_kv_bool(key: str, value: bool) -> bytes:
return _enc_string(key) + struct.pack("<I", _VTYPE_BOOL) + struct.pack("<B", 1 if value else 0)
def _enc_kv_string_array(key: str, values: Iterable[str]) -> bytes:
vals = list(values)
out = _enc_string(key) + struct.pack("<I", _VTYPE_ARRAY)
out += struct.pack("<I", _VTYPE_STRING) + struct.pack("<Q", len(vals))
for v in vals:
out += _enc_string(v)
return out
def _write_synthetic_gguf(
path: Path,
general_strings: Mapping[str, str],
*,
extra_uint32: Mapping[str, int] | None = None,
extra_uint64: Mapping[str, int] | None = None,
extra_string_arrays: Mapping[str, Iterable[str]] | None = None,
extra_bools: Mapping[str, bool] | None = None,
) -> Path:
"""Minimal GGUF: header + KV body, no tensors."""
extra_uint32 = extra_uint32 or {}
extra_uint64 = extra_uint64 or {}
extra_string_arrays = extra_string_arrays or {}
extra_bools = extra_bools or {}
kv_count = (
len(general_strings)
+ len(extra_uint32)
+ len(extra_uint64)
+ len(extra_string_arrays)
+ len(extra_bools)
)
body = b""
for k, v in general_strings.items():
body += _enc_kv_string(k, v)
for k, v in extra_uint32.items():
body += _enc_kv_uint32(k, v)
for k, v in extra_uint64.items():
body += _enc_kv_uint64(k, v)
for k, v in extra_string_arrays.items():
body += _enc_kv_string_array(k, v)
for k, v in extra_bools.items():
body += _enc_kv_bool(k, v)
header = struct.pack(
"<IIQQ",
_GGUF_MAGIC,
3, # version
0, # tensor_count
kv_count,
)
path.parent.mkdir(parents = True, exist_ok = True)
path.write_bytes(header + body)
return path
# --- read_gguf_general_metadata ----------------------------------------
def test_returns_none_for_missing_file(tmp_path: Path):
assert read_gguf_general_metadata(str(tmp_path / "nope.gguf")) is None
def test_returns_none_for_non_gguf(tmp_path: Path):
p = tmp_path / "garbage.gguf"
p.write_bytes(b"not a gguf file at all, just bytes")
assert read_gguf_general_metadata(str(p)) is None
def test_context_length_none_for_missing_file(tmp_path: Path):
assert read_gguf_context_length(str(tmp_path / "nope.gguf")) is None
def test_context_length_none_for_non_gguf(tmp_path: Path):
p = tmp_path / "garbage.gguf"
p.write_bytes(b"not a gguf file at all, just bytes")
assert read_gguf_context_length(str(p)) is None
def test_context_length_read_from_arch_namespaced_key(tmp_path: Path):
p = _write_synthetic_gguf(
tmp_path / "model.gguf",
{"general.architecture": "llama"},
extra_uint32 = {"llama.context_length": 4096, "llama.block_count": 32},
)
assert read_gguf_context_length(str(p)) == 4096
def test_context_length_none_when_absent(tmp_path: Path):
# Architecture present but no <arch>.context_length key.
p = _write_synthetic_gguf(
tmp_path / "model.gguf",
{"general.architecture": "llama"},
extra_uint32 = {"llama.block_count": 32},
)
assert read_gguf_context_length(str(p)) is None
def test_context_length_ignores_foreign_arch_key(tmp_path: Path):
# A context_length under a different arch namespace must not match.
p = _write_synthetic_gguf(
tmp_path / "model.gguf",
{"general.architecture": "llama"},
extra_uint32 = {"qwen2.context_length": 8192},
)
assert read_gguf_context_length(str(p)) is None
def test_context_length_read_from_uint64(tmp_path: Path):
# Some models store context_length as a uint64 (vtype 10).
p = _write_synthetic_gguf(
tmp_path / "model.gguf",
{"general.architecture": "qwen3"},
extra_uint64 = {"qwen3.context_length": 262144},
)
assert read_gguf_context_length(str(p)) == 262144
def test_context_length_zero_treated_as_absent(tmp_path: Path):
# A zero/garbage ceiling must read as None so the UI can't build a slider
# with max < min.
p = _write_synthetic_gguf(
tmp_path / "model.gguf",
{"general.architecture": "llama"},
extra_uint32 = {"llama.context_length": 0},
)
assert read_gguf_context_length(str(p)) is None
def test_extracts_general_string_fields(tmp_path: Path):
p = _write_synthetic_gguf(
tmp_path / "model.gguf",
{
"general.architecture": "qwen2vl",
"general.type": "model",
"general.basename": "Qwen3.5",
"general.organization": "Qwen",
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
"general.base_model.0.name": "Qwen3.5 9B",
"general.base_model.0.organization": "Qwen",
},
)
meta = read_gguf_general_metadata(str(p))
assert meta is not None
assert meta["general.architecture"] == "qwen2vl"
assert meta["general.basename"] == "Qwen3.5"
assert meta["general.base_model.0.repo_url"] == "https://huggingface.co/Qwen/Qwen3.5-9B"
def test_skips_unrelated_fields_without_breaking(tmp_path: Path):
"""Skip unwanted arrays and uint32s without losing position."""
p = _write_synthetic_gguf(
tmp_path / "model.gguf",
{"general.basename": "Foo"},
extra_uint32 = {"qwen2vl.context_length": 32768},
extra_string_arrays = {"tokenizer.ggml.tokens": ["a", "bc", "def"]},
)
meta = read_gguf_general_metadata(str(p))
assert meta == {"general.basename": "Foo"}
def test_metadata_is_cached(tmp_path: Path):
"""Cache invalidates on size change."""
p = _write_synthetic_gguf(
tmp_path / "model.gguf",
{"general.basename": "First"},
)
first = read_gguf_general_metadata(str(p))
assert first == {"general.basename": "First"}
# Change size so the (path, mtime, size) cache key invalidates.
_write_synthetic_gguf(
tmp_path / "model.gguf",
{"general.basename": "Second", "general.organization": "X"},
)
second = read_gguf_general_metadata(str(p))
assert second == {"general.basename": "Second", "general.organization": "X"}
# --- is_mmproj_by_metadata --------------------------------------------
def test_is_mmproj_by_metadata_signals():
assert is_mmproj_by_metadata({"general.type": "mmproj"}) is True
assert is_mmproj_by_metadata({"general.type": "MMProj"}) is True
assert is_mmproj_by_metadata({"general.type": "model"}) is False
assert is_mmproj_by_metadata({"general.basename": "foo"}) is None
assert is_mmproj_by_metadata({}) is None
assert is_mmproj_by_metadata(None) is None
# --- pairing_score -----------------------------------------------------
def test_pairing_score_base_model_url_match():
weight = {
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
}
mmproj = {
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
}
assert pairing_score(weight, mmproj) == 100
def test_pairing_score_base_model_url_mismatch():
weight = {
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
}
mmproj = {
"general.base_model.0.repo_url": "https://huggingface.co/google/gemma-3-9B",
}
assert pairing_score(weight, mmproj) == -1
def test_pairing_score_base_model_url_trailing_slash_normalised():
weight = {
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B/",
}
mmproj = {
"general.base_model.0.repo_url": "https://huggingface.co/Qwen/Qwen3.5-9B",
}
assert pairing_score(weight, mmproj) == 100
def test_pairing_score_basename_plus_org_fallback():
weight = {
"general.basename": "Nanonets-Ocr-S",
"general.base_model.0.organization": "Nanonets",
}
mmproj = {
"general.basename": "Nanonets-Ocr-S",
"general.base_model.0.organization": "Nanonets",
}
assert pairing_score(weight, mmproj) == 80
def test_pairing_score_basename_only_fallback():
assert (
pairing_score(
{"general.basename": "Nanonets-Ocr-S"},
{"general.basename": "Nanonets-Ocr-S"},
)
== 60
)
def test_pairing_score_no_overlap_returns_zero():
"""One side empty: scorer punts to filename fallback."""
assert pairing_score({"general.basename": "Foo"}, {}) == 0
assert pairing_score({}, {"general.basename": "Foo"}) == 0
assert pairing_score(None, {"general.basename": "Foo"}) == 0
# --- read_mmproj_audio_capability --------------------------------------
def test_mmproj_audio_capability_true(tmp_path: Path):
"""clip.has_audio_encoder=True (e.g. Gemma 4's gemma4ua projector)."""
p = _write_synthetic_gguf(
tmp_path / "mmproj.gguf",
{"general.type": "mmproj"},
extra_bools = {
"clip.has_vision_encoder": True,
"clip.has_audio_encoder": True,
},
)
assert read_mmproj_audio_capability(str(p)) is True
def test_mmproj_audio_capability_false(tmp_path: Path):
"""Vision-only projector: key present but false."""
p = _write_synthetic_gguf(
tmp_path / "mmproj.gguf",
{"general.type": "mmproj"},
extra_bools = {
"clip.has_vision_encoder": True,
"clip.has_audio_encoder": False,
},
)
assert read_mmproj_audio_capability(str(p)) is False
def test_mmproj_audio_capability_absent_returns_none(tmp_path: Path):
"""Key absent (older/vision-only mmproj): None, not False."""
p = _write_synthetic_gguf(
tmp_path / "mmproj.gguf",
{"general.type": "mmproj"},
extra_bools = {"clip.has_vision_encoder": True},
)
assert read_mmproj_audio_capability(str(p)) is None
def test_mmproj_audio_capability_missing_or_non_gguf(tmp_path: Path):
assert read_mmproj_audio_capability(str(tmp_path / "nope.gguf")) is None
junk = tmp_path / "garbage.gguf"
junk.write_bytes(b"not a gguf header at all")
assert read_mmproj_audio_capability(str(junk)) is None