add own base package as dependency

src/delta_barth/types.py

@@ -2,47 +2,13 @@ from __future__ import annotations
 
 import enum
 import typing as t
-from collections.abc import Iterator, MutableMapping
 from dataclasses import dataclass, field
 
 import pandas as pd
+from dopt_basics.datastructures import DualDict
 from pydantic import BaseModel, ConfigDict, SkipValidation
 
-# ** Data Structures
-K = t.TypeVar("K")
-V = t.TypeVar("V")
-
-
-class DualDict(MutableMapping[K, V]):
-    def __init__(self, **kwargs: V):
-        self._store: dict[K, V] = dict(**kwargs)
-        self._inverted = self._calc_inverted()
-
-    @property
-    def inverted(self) -> dict[V, K]:
-        return self._inverted
-
-    def _calc_inverted(self) -> dict[V, K]:
-        return {val: key for key, val in self.items()}
-
-    def __setitem__(self, key: K, value: V) -> None:
-        self._store[key] = value
-        self._inverted[value] = key
-
-    def __getitem__(self, key: K) -> V:
-        return self._store[key]
-
-    def __delitem__(self, key: K) -> None:
-        value = self._store[key]
-        del self._store[key]
-        del self._inverted[value]
-
-    def __iter__(self) -> Iterator[K]:
-        return iter(self._store)
-
-    def __len__(self) -> int:
-        return len(self._store)
-
+__all__ = ["DualDict"]
 
 # ** Pipeline state management
 StatusDescription: t.TypeAlias = tuple[str, int, str]