Fix lint issues

hypothesis-python/RELEASE.rst

@@ -1,7 +1,4 @@
 RELEASE_TYPE: patch
 
-Numpy array strategy returned dtype is always unkown but it's actually specified
-as parameter. 
-
-This patch made that relationship between dtype parameters and returned strategy
-dtype explicit.
+This patch fixes type annotations for the :func:`~hypothesis.extra.numpy.arrays`
+strategy.  Thanks to Francesc Elies for :pull:`3602`.

hypothesis-python/src/hypothesis/extra/numpy.py

@@ -12,6 +12,7 @@
 from typing import Any, Mapping, Optional, Sequence, Tuple, TypeVar, Union
 
 import numpy as np
+from numpy.typing import DTypeLike, NDArray
 
 from hypothesis import strategies as st
 from hypothesis._settings import note_deprecation
@@ -37,7 +38,6 @@
 from hypothesis.strategies._internal.numbers import Real
 from hypothesis.strategies._internal.strategies import T, check_strategy
 from hypothesis.strategies._internal.utils import defines_strategy
-from numpy.typing import DTypeLike, NDArray
 
 __all__ = [
     "BroadcastableShapes",
@@ -464,6 +464,7 @@ def arrays(
         )
     # From here on, we're only dealing with values and it's relatively simple.
     dtype = np.dtype(dtype)
+    assert isinstance(dtype, np.dtype)  # help mypy out a bit...
     if elements is None or isinstance(elements, Mapping):
         if dtype.kind in ("m", "M") and "[" not in dtype.str:
             # For datetime and timedelta dtypes, we have a tricky situation -