moving to src format

docs/ndarray.md

@@ -21,7 +21,8 @@ so any array syntax is valid there. (see [TODO](todo) for caveats)
 ```python
 from typing import Union
 from pydantic import BaseModel
-from numpydantic import NDArray, Shape, UInt8, Float, Int
+from src.numpydantic import NDArray, Shape, UInt8, Float, Int
+
 
 class Image(BaseModel):
     """

numpydantic/__init__.py

@@ -1,13 +0,0 @@
-# ruff: noqa: E402
-# ruff: noqa: F401
-# ruff: noqa: I001
-from numpydantic.monkeypatch import apply_patches
-
-apply_patches()
-
-from numpydantic.ndarray import NDArray
-
-# convenience imports for typing - finish this!
-from typing import Any
-
-from nptyping import Float, Int, Number, Shape, UInt8

src/numpydantic/__init__.py

@@ -0,0 +1,11 @@
+# ruff: noqa: E402
+# ruff: noqa: F401
+# ruff: noqa: I001
+from numpydantic.monkeypatch import apply_patches
+apply_patches()
+
+from numpydantic.ndarray import NDArray
+
+__all__ = [
+    "NDArray"
+]

src/numpydantic/ndarray.py

@@ -3,11 +3,12 @@ Extension of nptyping NDArray for pydantic that allows for JSON-Schema serializa
 
 * Order to store data in (row first)
 """
+
 import base64
 import sys
 from collections.abc import Callable
 from copy import copy
-from typing import TYPE_CHECKING, Any, Union
+from typing import Any
 
 import blosc2
 import nptyping.structure

tests/test_ndarray.py

@@ -7,7 +7,7 @@ import numpy as np
 from pydantic import BaseModel, ValidationError, Field
 from nptyping import Shape, Number
 
-from numpydantic.ndarray import NDArray
+from numpydantic import NDArray
 from numpydantic.proxy import NDArrayProxy