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correctly failing tests for np.str_ in a tuple

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sneakers-the-rat 2024-12-13 17:53:20 -08:00
parent d54698fc0f
commit 22341c8b06
Signed by untrusted user who does not match committer: jonny
GPG key ID: 6DCB96EF1E4D232D
2 changed files with 24 additions and 1 deletions
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21
src/numpydantic/testing/cases.py
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@ -126,6 +126,27 @@ DTYPE_CASES = [
ValidationCase(annotation_dtype=str, dtype=str, passes=True, id="str-str"), ValidationCase(annotation_dtype=str, dtype=str, passes=True, id="str-str"),
ValidationCase(annotation_dtype=str, dtype=int, passes=False, id="str-int"), ValidationCase(annotation_dtype=str, dtype=int, passes=False, id="str-int"),
ValidationCase(annotation_dtype=str, dtype=float, passes=False, id="str-float"), ValidationCase(annotation_dtype=str, dtype=float, passes=False, id="str-float"),
ValidationCase(
annotation_dtype=np.str_,
dtype=str,
passes=True,
id="np_str-str",
marks={"np_str", "str"},
),
ValidationCase(
annotation_dtype=np.str_,
dtype=np.str_,
passes=True,
id="np_str-np_str",
marks={"np_str", "str"},
),
ValidationCase(
annotation_dtype=(int, np.str_),
dtype=str,
passes=True,
id="tuple_np_str-str",
marks={"np_str", "str", "tuple"},
),
ValidationCase( ValidationCase(
annotation_dtype=BasicModel, dtype=BasicModel, passes=True, id="model-model" annotation_dtype=BasicModel, dtype=BasicModel, passes=True, id="model-model"
), ),

4
src/numpydantic/testing/interfaces.py
View file

@ -75,6 +75,8 @@ class HDF5Case(_HDF5MetaCase):
data = np.array(array, dtype=dtype) data = np.array(array, dtype=dtype)
elif dtype is str: elif dtype is str:
data = generator.random(shape).astype(bytes) data = generator.random(shape).astype(bytes)
elif dtype is np.str_:
data = generator.random(shape).astype("S32")
elif dtype is datetime: elif dtype is datetime:
data = np.empty(shape, dtype="S32") data = np.empty(shape, dtype="S32")
data.fill(datetime.now(timezone.utc).isoformat().encode("utf-8")) data.fill(datetime.now(timezone.utc).isoformat().encode("utf-8"))
@ -106,7 +108,7 @@ class HDF5CompoundCase(_HDF5MetaCase):
array_path = "/" + "_".join([str(s) for s in shape]) + "__" + dtype.__name__ array_path = "/" + "_".join([str(s) for s in shape]) + "__" + dtype.__name__
if array is not None: if array is not None:
data = np.array(array, dtype=dtype) data = np.array(array, dtype=dtype)
elif dtype is str: elif dtype in (str, np.str_):
dt = np.dtype([("data", np.dtype("S10")), ("extra", "i8")]) dt = np.dtype([("data", np.dtype("S10")), ("extra", "i8")])
data = np.array([("hey", 0)] * np.prod(shape), dtype=dt).reshape(shape) data = np.array([("hey", 0)] * np.prod(shape), dtype=dt).reshape(shape)
elif dtype is datetime: elif dtype is datetime: