Spaces:
Paused
Paused
File size: 2,049 Bytes
5e0b58b | 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 | """Apply narrow alpha.4 typing fixes to legacy modules in the working tree."""
from __future__ import annotations
from pathlib import Path
def replace_once(path: Path, old: str, new: str) -> None:
"""Replace one known source fragment or fail loudly."""
text = path.read_text(encoding="utf-8")
if old not in text:
if new in text:
return
raise RuntimeError(f"expected fragment not found in {path}")
path.write_text(text.replace(old, new, 1), encoding="utf-8")
def main() -> int:
"""Apply the three non-storage mypy fixes identified in alpha.3."""
replace_once(
Path("src/manipulation/manipulator.py"),
"nid = self.network.add_neuron(coord)",
"nid = int(self.network.add_neuron(coord))",
)
engine = Path("src/self_organization/engine.py")
replace_once(
engine,
(
"from src.core.spatial_index import iter_neighbour_coords, "
"pack_coords, unpack_coords"
),
"from src.core.spatial_index import (\n"
" Coord5D,\n"
" iter_neighbour_coords,\n"
" pack_coords,\n"
" unpack_coords,\n"
")",
)
replace_once(
engine,
"def _find_free_coord(self, neuron_id: int):",
"def _find_free_coord(self, neuron_id: int) -> Coord5D | None:",
)
learning_lab = Path("src/experiments/learning_lab.py")
replace_once(
learning_lab,
"from src.core.network import NeuralNetwork",
"from src.core.network import ConfigDict, NeuralNetwork",
)
replace_once(
learning_lab,
(
"network = NeuralNetwork(dict(config), "
'random.Random(int(config.get("seed", 42))))'
),
"network = NeuralNetwork(\n"
" cast(ConfigDict, dict(config)),\n"
' random.Random(int(config.get("seed", 42))),\n'
" )",
)
print("Applied alpha.4 legacy typing fixes.")
return 0
if __name__ == "__main__":
raise SystemExit(main())
|