fix a bug when loading a config file

The HDF5 file stores config values like log_level_global as a numeric (e.g., numpy.int64). When loading, that integer is passed into VariPEPS_Config. In setattr, the field type for log_level_global is the Enum LogLevel, so integers must be coerced to LogLevel. Your version’s coercion path doesn’t catch your value, so it falls through and raises:
Type mismatch for option 'log_level_global', got '<class numpy.int64>', expected '<enum 'LogLevel'>'.

Why it falls through

The loader passes a numpy integer (or a 0-d/1-d array) instead of a Python int.
The Enum branch in setattr is too strict about the numeric checks, so it doesn’t convert that value into LogLevel.

Author: MPMPMPMPMPMPMP

varipeps/config.py

@@ -379,12 +379,33 @@ def __setattr__(self, name: str, value: Any) -> NoReturn:
             elif (
                 field.type is bool
                 and hasattr(value, "dtype")
-                and np.isdtype(value.dtype, np.bool)
+                and np.issubdtype(value.dtype, np.bool_)
                 and value.size == 1
             ):
                 if value.ndim > 0:
                     value = value.reshape(-1)[0]
                 value = bool(value)
+            elif isinstance(field.type, type) and issubclass(field.type, Enum):
+                # Accept ints/np.int64 or enum names for Enum fields
+                if isinstance(value, field.type):
+                    pass
+                elif isinstance(value, (int,)) or (
+                    hasattr(value, "dtype")
+                    and np.issubdtype(value.dtype, np.integer)
+                    and value.size == 1
+                ):
+                    if hasattr(value, "ndim") and value.ndim > 0:
+                        value = value.reshape(-1)[0]
+                    value = field.type(int(value))
+                elif isinstance(value, str):
+                    try:
+                        value = field.type[value]
+                    except KeyError:
+                        value = field.type(int(value))
+                else:
+                    raise TypeError(
+                        f"Type mismatch for option '{name}', got '{type(value)}', expected '{field.type}'."
+                    )
             else:
                 raise TypeError(
                     f"Type mismatch for option '{name}', got '{type(value)}', expected '{field.type}'."