dataclass completion for vdataclass

src/scgenerator/variableparameters.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 import itertools
 import warnings
 from dataclasses import dataclass, field
-from typing import Callable, Generic, Iterator, ParamSpec, Sequence, TypeVar
+from typing import Callable, Generic, Iterator, ParamSpec, Sequence, TypeVar, TYPE_CHECKING
 
 import numpy as np
 
@@ -51,6 +51,8 @@ class Variable(Generic[T]):
         return self.values[id]
 
     def __repr__(self) -> str:
+        if len(self.values) == 1:
+            return repr(self.values[0])
         return f"{self.__class__.__name__}({self.values})"
 
     def __len__(self) -> int:
@@ -401,38 +403,42 @@ def create_filter(_vfields: dict[str, VariableParameter]):
     return filter
 
 
-def vdataclass(cls: type[T]) -> type[T]:
-    _vfields: dict[str, VariableParameter] = {
-        k: v.default
-        for k, v in cls.__dict__.items()
-        if isinstance(getattr(v, "default", None), VariableParameter)
-    }
-    if len(_vfields) == 0:
-        warnings.warn(
-            f"class {cls.__qualname__} doesn't contain any variable parameter,"
-            "building normal dataclass instead"
-        )
-        return dataclass(cls)
+if TYPE_CHECKING:
+    vdataclass = dataclass
+else:
 
-    v_nums = []
-    for v in _vfields.values():
-        if v.sync is not None:
-            v.place = v.sync.place
-        else:
-            v.place = len(v_nums)
-            v_nums.append(None)
+    def vdataclass(cls: type[T]) -> type[T]:
+        _vfields: dict[str, VariableParameter] = {
+            k: v.default
+            for k, v in cls.__dict__.items()
+            if isinstance(getattr(v, "default", None), VariableParameter)
+        }
+        if len(_vfields) == 0:
+            warnings.warn(
+                f"class {cls.__qualname__} doesn't contain any variable parameter,"
+                "building normal dataclass instead"
+            )
+            return dataclass(cls)
 
-    # put __variables_nums__ at the begining of the dict, as other fields need it
-    cls.__annotations__ = dict(__variables_nums__="list[int]") | cls.__annotations__
-    cls.__variables_nums__ = field(init=False, repr=False, default_factory=v_nums.copy)
-    cls.__vfields__ = _vfields
+        v_nums = []
+        for v in _vfields.values():
+            if v.sync is not None:
+                v.place = v.sync.place
+            else:
+                v.place = len(v_nums)
+                v_nums.append(None)
 
-    cls = dataclass(cls)
+        # put __variables_nums__ at the begining of the dict, as other fields need it
+        cls.__annotations__ = dict(__variables_nums__="list[int]") | cls.__annotations__
+        cls.__variables_nums__ = field(init=False, repr=False, default_factory=v_nums.copy)
+        cls.__vfields__ = _vfields
 
-    def _config_len(self):
-        return np.prod(self.__variables_nums__)
+        cls = dataclass(cls)
 
-    setattr(cls, "filter", create_filter(_vfields))
-    setattr(cls, "__len__", _config_len)
+        def _config_len(self):
+            return np.prod(self.__variables_nums__)
 
-    return cls
+        setattr(cls, "filter", create_filter(_vfields))
+        setattr(cls, "__len__", _config_len)
+
+        return cls