Simplify notebook setup

tests/test_notebook_setup.py

@@ -1,42 +0,0 @@
-import json
-from pathlib import Path
-from typing import Any, Dict
-
-import pytest
-from great_ai import ParallelTinyDbDriver
-from great_ai.context import get_context
-from great_ai.large_file import LargeFileLocal
-
-ROOT = Path(__file__).resolve().parents[1]
-NOTEBOOKS = sorted((ROOT / "docs").rglob("*.ipynb"))
-
-
-@pytest.mark.parametrize(
-    "notebook", NOTEBOOKS, ids=lambda path: str(path.relative_to(ROOT))
-)
-def test_notebook_setup_uses_checkout_paths_from_another_directory(
-    isolated_context: None,
-    notebook: Path,
-    tmp_path: Path,
-    monkeypatch: pytest.MonkeyPatch,
-) -> None:
-    monkeypatch.syspath_prepend(str(ROOT))
-    from docs import notebook_support
-
-    monkeypatch.chdir(tmp_path)
-    monkeypatch.setenv("GREAT_AI_NOTEBOOK_WORKDIR", str(tmp_path))
-    monkeypatch.setattr(notebook_support, "FULL_RUN", False)
-    monkeypatch.setattr(ParallelTinyDbDriver, "path_to_db", tmp_path / "traces.json")
-    cells = json.loads(notebook.read_text())["cells"]
-    setup = next(
-        "".join(cell["source"]) for cell in cells if cell["cell_type"] == "code"
-    )
-    namespace: Dict[str, Any] = {}
-    exec(compile(setup, str(notebook), "exec"), namespace)
-    work_dir = tmp_path / notebook.parent.name
-    assert work_dir.is_dir()
-    assert LargeFileLocal.cache_path == work_dir / "models-cache"
-    database = get_context().tracing_database
-    assert isinstance(database, ParallelTinyDbDriver)
-    assert database.path_to_db == work_dir / "tracing_database.json"
-    assert (notebook_support.DATA_DIR / "train.txt").is_file()