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"""These tests are based on the doctests from `numpy/lib/recfunctions.py`."""
from typing import Any, assert_type
import numpy as np
import numpy.typing as npt
from numpy.lib import recfunctions as rfn
def test_recursive_fill_fields() -> None:
a: npt.NDArray[np.void] = np.array(
[(1, 10.0), (2, 20.0)],
dtype=[("A", np.int64), ("B", np.float64)],
)
b = np.zeros((int(3),), dtype=a.dtype)
out = rfn.recursive_fill_fields(a, b)
assert_type(out, np.ndarray[tuple[int], np.dtype[np.void]])
def test_get_names() -> None:
names: tuple[str | Any, ...]
names = rfn.get_names(np.empty((1,), dtype=[("A", int)]).dtype)
names = rfn.get_names(np.empty((1,), dtype=[("A", int), ("B", float)]).dtype)
adtype = np.dtype([("a", int), ("b", [("b_a", int), ("b_b", int)])])
names = rfn.get_names(adtype)
def test_get_names_flat() -> None:
names: tuple[str, ...]
names = rfn.get_names_flat(np.empty((1,), dtype=[("A", int)]).dtype)
names = rfn.get_names_flat(np.empty((1,), dtype=[("A", int), ("B", float)]).dtype)
adtype = np.dtype([("a", int), ("b", [("b_a", int), ("b_b", int)])])
names = rfn.get_names_flat(adtype)
def test_flatten_descr() -> None:
ndtype = np.dtype([("a", "<i4"), ("b", [("b_a", "<f8"), ("b_b", "<i4")])])
assert_type(rfn.flatten_descr(ndtype), tuple[tuple[str, np.dtype]])
def test_get_fieldstructure() -> None:
ndtype = np.dtype([
("A", int),
("B", [("B_A", int), ("B_B", [("B_B_A", int), ("B_B_B", int)])]),
])
assert_type(rfn.get_fieldstructure(ndtype), dict[str, list[str]])
def test_merge_arrays() -> None:
assert_type(
rfn.merge_arrays((
np.ones((int(2),), np.int_),
np.ones((int(3),), np.float64),
)),
np.recarray[tuple[int], np.dtype[np.void]],
)
def test_drop_fields() -> None:
ndtype = [("a", np.int64), ("b", [("b_a", np.double), ("b_b", np.int64)])]
a = np.ones((int(3),), dtype=ndtype)
assert_type(
rfn.drop_fields(a, "a"),
np.ndarray[tuple[int], np.dtype[np.void]],
)
assert_type(
rfn.drop_fields(a, "a", asrecarray=True),
np.rec.recarray[tuple[int], np.dtype[np.void]],
)
assert_type(
rfn.rec_drop_fields(a, "a"),
np.rec.recarray[tuple[int], np.dtype[np.void]],
)
def test_rename_fields() -> None:
ndtype = [("a", np.int64), ("b", [("b_a", np.double), ("b_b", np.int64)])]
a = np.ones((int(3),), dtype=ndtype)
assert_type(
rfn.rename_fields(a, {"a": "A", "b_b": "B_B"}),
np.ndarray[tuple[int], np.dtype[np.void]],
)
def test_repack_fields() -> None:
dt: np.dtype[np.void] = np.dtype("u1, <i8, <f8", align=True)
assert_type(rfn.repack_fields(dt), np.dtype[np.void])
assert_type(rfn.repack_fields(dt.type(0)), np.void)
assert_type(
rfn.repack_fields(np.ones((int(3),), dtype=dt)),
np.ndarray[tuple[int], np.dtype[np.void]],
)
def test_structured_to_unstructured() -> None:
a = np.zeros(4, dtype=[("a", "i4"), ("b", "f4,u2"), ("c", "f4", 2)])
assert_type(rfn.structured_to_unstructured(a), npt.NDArray[Any])
def unstructured_to_structured() -> None:
dt: np.dtype[np.void] = np.dtype([("a", "i4"), ("b", "f4,u2"), ("c", "f4", 2)])
a = np.arange(20, dtype=np.int32).reshape((4, 5))
assert_type(rfn.unstructured_to_structured(a, dt), npt.NDArray[np.void])
def test_apply_along_fields() -> None:
b = np.ones(4, dtype=[("x", "i4"), ("y", "f4"), ("z", "f8")])
assert_type(
rfn.apply_along_fields(np.mean, b),
np.ndarray[tuple[int], np.dtype[np.void]],
)
def test_assign_fields_by_name() -> None:
b = np.ones(4, dtype=[("x", "i4"), ("y", "f4"), ("z", "f8")])
assert_type(
rfn.apply_along_fields(np.mean, b),
np.ndarray[tuple[int], np.dtype[np.void]],
)
def test_require_fields() -> None:
a = np.ones(4, dtype=[("a", "i4"), ("b", "f8"), ("c", "u1")])
assert_type(
rfn.require_fields(a, [("b", "f4"), ("c", "u1")]),
np.ndarray[tuple[int], np.dtype[np.void]],
)
def test_stack_arrays() -> None:
x = np.zeros((int(2),), np.int32)
assert_type(
rfn.stack_arrays(x),
np.ndarray[tuple[int], np.dtype[np.int32]],
)
z = np.ones((int(2),), [("A", "|S3"), ("B", float)])
zz = np.ones((int(2),), [("A", "|S3"), ("B", np.float64), ("C", np.float64)])
assert_type(
rfn.stack_arrays((z, zz)),
np.ma.MaskedArray[tuple[Any, ...], np.dtype[np.void]],
)
def test_find_duplicates() -> None:
ndtype = np.dtype([("a", int)])
a = np.ma.ones(7, mask=[0, 0, 1, 0, 0, 0, 1]).view(ndtype)
assert_type(rfn.find_duplicates(a), np.ma.MaskedArray[Any, np.dtype[np.void]])
assert_type(
rfn.find_duplicates(a, ignoremask=True, return_index=True),
tuple[
np.ma.MaskedArray[Any, np.dtype[np.void]],
np.ndarray[Any, np.dtype[np.int_]],
],
)
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