diff --git a/config/scheme.py b/config/scheme.py
index bb5ff5b..0223208 100644
--- a/config/scheme.py
+++ b/config/scheme.py
@@ -1,81 +1,12 @@
 from __future__ import annotations
 
-from dataclasses import dataclass
-from typing import Optional, Union, Mapping, Any, get_type_hints, get_origin, get_args, Iterable
 from munch import Munch
+from typing import Any, Optional, Mapping, Union
 
+from dataclass import DataClass, munchclass
 from constants import Arch
 
 
-def munchclass(*args, init=False, **kwargs):
-    return dataclass(*args, init=init, slots=True, **kwargs)
-
-
-def resolve_type_hint(hint: type):
-    origin = get_origin(hint)
-    args: Iterable[type] = get_args(hint)
-    if origin is Optional:
-        args = set(list(args) + [type(None)])
-    if origin in [Union, Optional]:
-        results = []
-        for arg in args:
-            results += resolve_type_hint(arg)
-        return results
-    return [origin or hint]
-
-
-class DataClass(Munch):
-
-    def __init__(self, d: dict = {}, validate: bool = True, **kwargs):
-        self.update(d | kwargs, validate=validate)
-
-    @classmethod
-    def transform(cls, values: Mapping[str, Any], validate: bool = True, allow_extra: bool = False) -> Any:
-        results = {}
-        values = dict(values)
-        for key in list(values.keys()):
-            value = values.pop(key)
-            type_hints = cls._type_hints
-            if key in type_hints:
-                _classes = tuple(resolve_type_hint(type_hints[key]))
-                if issubclass(_classes[0], dict):
-                    assert isinstance(value, dict)
-                    target_class = _classes[0]
-                    if not issubclass(_classes[0], Munch):
-                        target_class = DataClass
-                    if not isinstance(value, target_class):
-                        value = target_class.fromDict(value, validate=validate)
-                if validate:
-                    if not isinstance(value, _classes):
-                        raise Exception(f'key "{key}" has value of wrong type {_classes}: {value}')
-            elif validate and not allow_extra:
-                raise Exception(f'Unknown key "{key}"')
-            else:
-                if isinstance(value, dict) and not isinstance(value, Munch):
-                    value = Munch.fromDict(value)
-            results[key] = value
-        if values:
-            if validate:
-                raise Exception(f'values contained unknown keys: {list(values.keys())}')
-            results |= values
-
-        return results
-
-    @classmethod
-    def fromDict(cls, values: Mapping[str, Any], validate: bool = True):
-        return cls(**cls.transform(values, validate))
-
-    def update(self, d: Mapping[str, Any], validate: bool = True):
-        Munch.update(self, type(self).transform(d, validate))
-
-    def __init_subclass__(cls):
-        super().__init_subclass__()
-        cls._type_hints = get_type_hints(cls)
-
-    def __repr__(self):
-        return f'{type(self)}{dict.__repr__(self.toDict())}'
-
-
 @munchclass()
 class SparseProfile(DataClass):
     parent: Optional[str]
diff --git a/dataclass.py b/dataclass.py
new file mode 100644
index 0000000..8a19d45
--- /dev/null
+++ b/dataclass.py
@@ -0,0 +1,72 @@
+from dataclasses import dataclass
+from munch import Munch
+from typing import Optional, Union, Mapping, Any, get_type_hints, get_origin, get_args, Iterable
+
+
+def munchclass(*args, init=False, **kwargs):
+    return dataclass(*args, init=init, slots=True, **kwargs)
+
+
+def resolve_type_hint(hint: type):
+    origin = get_origin(hint)
+    args: Iterable[type] = get_args(hint)
+    if origin is Optional:
+        args = set(list(args) + [type(None)])
+    if origin in [Union, Optional]:
+        results = []
+        for arg in args:
+            results += resolve_type_hint(arg)
+        return results
+    return [origin or hint]
+
+
+class DataClass(Munch):
+
+    def __init__(self, d: dict = {}, validate: bool = True, **kwargs):
+        self.update(d | kwargs, validate=validate)
+
+    @classmethod
+    def transform(cls, values: Mapping[str, Any], validate: bool = True, allow_extra: bool = False) -> Any:
+        results = {}
+        values = dict(values)
+        for key in list(values.keys()):
+            value = values.pop(key)
+            type_hints = cls._type_hints
+            if key in type_hints:
+                _classes = tuple(resolve_type_hint(type_hints[key]))
+                if issubclass(_classes[0], dict):
+                    assert isinstance(value, dict)
+                    target_class = _classes[0]
+                    if not issubclass(_classes[0], Munch):
+                        target_class = DataClass
+                    if not isinstance(value, target_class):
+                        value = target_class.fromDict(value, validate=validate)
+                if validate:
+                    if not isinstance(value, _classes):
+                        raise Exception(f'key "{key}" has value of wrong type {_classes}: {value}')
+            elif validate and not allow_extra:
+                raise Exception(f'Unknown key "{key}"')
+            else:
+                if isinstance(value, dict) and not isinstance(value, Munch):
+                    value = Munch.fromDict(value)
+            results[key] = value
+        if values:
+            if validate:
+                raise Exception(f'values contained unknown keys: {list(values.keys())}')
+            results |= values
+
+        return results
+
+    @classmethod
+    def fromDict(cls, values: Mapping[str, Any], validate: bool = True):
+        return cls(**cls.transform(values, validate))
+
+    def update(self, d: Mapping[str, Any], validate: bool = True):
+        Munch.update(self, type(self).transform(d, validate))
+
+    def __init_subclass__(cls):
+        super().__init_subclass__()
+        cls._type_hints = get_type_hints(cls)
+
+    def __repr__(self):
+        return f'{type(self)}{dict.__repr__(self.toDict())}'