delete py files under project root path

pyproject.toml

@@ -1,18 +0,0 @@
-[project]
-name = "v2b-demo-loader"
-version = "0.1.0"
-
-dependencies = [
-    "numpy",
-    "torch",
-]
-
-[tool.ruff.format]
-quote-style = "single"
-
-# [tool.uv.sources]
-# torch = { index = "pytorch" }
-
-# [[tool.uv.index]]
-# name = "pytorch"
-# url = "https://download.pytorch.org/whl/cpu"

v2b_dataset.py

@@ -1,108 +0,0 @@
-from collections import defaultdict
-import dataclasses
-from dataclasses import dataclass, field
-from itertools import chain
-import json
-from pathlib import Path
-from typing import Iterable, Literal
-
-from torch.utils.data import Dataset
-
-
-@dataclass
-class JsonlEntry:
-    id: int
-    split: Literal['train', 'test']
-    modality: Literal['google', 'satellite', 'street', 'drone']
-    path: str
-    angle: int | None = None
-
-
-@dataclass
-class DatasetEntry:
-    id: int | None = None
-    satellite: str | None = None
-    drone_30: str | None = None
-    drone_45: str | None = None
-    street: list[str] = field(default_factory=list)
-    google: list[str] = field(default_factory=list)
-
-    def update(self, entry: JsonlEntry) -> None:
-        if self.id is None:
-            self.id = entry.id
-        else:
-            if self.id != entry.id:
-                raise ValueError(f'unmatched id {self.id=} != {entry.id=}')
-
-        path = entry.path
-        match entry.modality:
-            case 'street':
-                self.street.append(path)
-            case 'google':
-                self.google.append(path)
-            case 'satellite':
-                self.satellite = path
-            case 'drone':
-                if entry.angle == 30:
-                    self.drone_30 = path
-                elif entry.angle == 45:
-                    self.drone_45 = path
-                else:
-                    raise ValueError(f'unexpected angle: {entry.angle}')
-            case _:
-                raise ValueError(f'unexpected modality: {entry.modality}')
-
-
-def read_all_entries(index: Path):
-    with index.open('r') as f:
-        for line in f:
-            yield json.loads(line.strip())
-
-
-def get_indecies(root: Path, split: Literal['train', 'test']) -> list[Path]:
-    index_path = root / 'meta' / 'index'
-    res = sorted(index_path.glob(f'{split}-shard*.jsonl'))
-    if len(res) == 0:
-        raise ValueError('no index file found')
-
-    return res
-
-
-def collect(indecies: Iterable[Path]):
-    res = defaultdict(DatasetEntry)
-    for entryobj in chain(*map(read_all_entries, indecies)):
-        assert isinstance(entryobj, dict)
-        entry = JsonlEntry(**entryobj)
-        res[entry.id].update(entry)
-
-    return res
-
-
-class V2BDemoDataset(Dataset):
-    def __init__(self, root: str | Path, split: Literal['train', 'test']) -> None:
-        super().__init__()
-        self.root = Path(root)
-        self.split = split
-
-        self.index = collect(get_indecies(self.root, self.split))
-        self.ids = sorted(self.index.keys())
-
-    def __getitem__(self, index):
-        building_id = self.ids[index]
-        entry = self.index[building_id]
-
-        return dataclasses.asdict(entry)
-
-    def __len__(self):
-        return len(self.ids)
-
-
-def main():
-    ds = V2BDemoDataset(Path('../'), 'train')
-    print(ds[0])
-    print(len(ds))
-
-
-if __name__ == '__main__':
-    main()
-