mirror of
https://github.com/modelscope/FunASR.git
synced 2026-10-12 02:19:18 +00:00
hylin
28fa5a4d64
Retain the contributor alias cleanup and remove the NumPy cap with verified CPU dependency, frontend, masking and clustering coverage. NumPy 1.26.4 and 2.4.0 each pass 23 exact-head CI tests and 77 local tests plus 184 subtests. Existing EEND mel calls now use keyword arguments for modern librosa. The related installation issue remains open pending published-package and reporter re-test. Co-authored-by: linhongyu510 <[email protected]> Signed-off-by: zhifu gao <[email protected]>
63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
from pathlib import Path
|
|
|
|
|
|
ROOT = Path(__file__).resolve().parents[1]
|
|
SETUP = ROOT / "setup.py"
|
|
|
|
|
|
def _setup_text() -> str:
|
|
return SETUP.read_text(encoding="utf-8")
|
|
|
|
|
|
def test_package_summary_matches_current_deployment_positioning():
|
|
text = _setup_text()
|
|
|
|
expected_summary = (
|
|
'description="OpenAI-compatible speech recognition toolkit with '
|
|
'WebSocket streaming, vLLM acceleration, and llama.cpp/GGUF edge '
|
|
'runtime."'
|
|
)
|
|
assert expected_summary in text
|
|
assert "170x realtime" not in text
|
|
|
|
|
|
def test_package_keywords_surface_deployment_discovery_terms():
|
|
text = _setup_text()
|
|
|
|
for keyword in [
|
|
'"openai-compatible"',
|
|
'"websocket"',
|
|
'"vllm"',
|
|
'"gguf"',
|
|
'"llama-cpp"',
|
|
]:
|
|
assert keyword in text
|
|
|
|
|
|
def test_core_dependencies_allow_numpy_two():
|
|
"""numpy must not be pinned to <2; the codebase is compatible with both 1.x and 2.x."""
|
|
text = _setup_text()
|
|
|
|
assert '"numpy<2"' not in text
|
|
assert '"numpy"' in text
|
|
|
|
|
|
def test_no_removed_numpy_aliases_in_source():
|
|
"""np.float / np.int / etc. were removed in numpy 1.24 and must not appear in funasr code."""
|
|
import re
|
|
|
|
removed_aliases = re.compile(
|
|
r"\bnp\.(float|int|bool|object|str|complex|long|unicode)\b(?!\d|_)"
|
|
)
|
|
source_files = list((ROOT / "funasr").rglob("*.py"))
|
|
offenders: list[str] = []
|
|
for path in source_files:
|
|
for lineno, line in enumerate(path.read_text(encoding="utf-8").splitlines(), 1):
|
|
# Skip docstrings/comments: only flag lines that are actual code
|
|
stripped = line.strip()
|
|
if stripped.startswith("#") or stripped.startswith('"') or stripped.startswith("'"):
|
|
continue
|
|
if removed_aliases.search(line):
|
|
offenders.append(f"{path.relative_to(ROOT)}:{lineno}: {stripped}")
|
|
assert not offenders, f"Removed numpy aliases found:\n" + "\n".join(offenders)
|