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| author | Sebastian Berg <sebastianb@nvidia.com> | 2023-04-12 12:14:33 +0200 |
|---|---|---|
| committer | Sebastian Berg <sebastianb@nvidia.com> | 2023-04-12 12:26:48 +0200 |
| commit | 569f7bc692aab41014ddc683c06e84e1bc276305 (patch) | |
| tree | 7e1b490fe442d71fb9bcf01eb797bfebcaac16d6 /numpy/core | |
| parent | 868a53b6725da70d408eb60b93a6f248cdd4b880 (diff) | |
| download | numpy-569f7bc692aab41014ddc683c06e84e1bc276305.tar.gz | |
MAINT: Move module to be `np.dtypes` and add release note
Diffstat (limited to 'numpy/core')
| -rw-r--r-- | numpy/core/__init__.py | 4 | ||||
| -rw-r--r-- | numpy/core/src/multiarray/arraytypes.c.src | 4 | ||||
| -rw-r--r-- | numpy/core/src/multiarray/dtypemeta.c | 4 | ||||
| -rw-r--r-- | numpy/core/tests/test_dtype.py | 10 |
4 files changed, 11 insertions, 11 deletions
diff --git a/numpy/core/__init__.py b/numpy/core/__init__.py index 5193a694c..08e717363 100644 --- a/numpy/core/__init__.py +++ b/numpy/core/__init__.py @@ -143,11 +143,11 @@ def _DType_reconstruct(scalar_type): def _DType_reduce(DType): # As types/classes, most DTypes can simply be pickled by their name: - if not DType._legacy or DType.__module__ == "numpy.types": + if not DType._legacy or DType.__module__ == "numpy.dtypes": return DType.__name__ # However, user defined legacy dtypes (like rational) do not end up in - # `numpy.types` as module and do not have a public class at all. + # `numpy.dtypes` as module and do not have a public class at all. # For these, we pickle them by reconstructing them from the scalar type: scalar_type = DType.type return _DType_reconstruct, (scalar_type,) diff --git a/numpy/core/src/multiarray/arraytypes.c.src b/numpy/core/src/multiarray/arraytypes.c.src index 537234358..b84625c77 100644 --- a/numpy/core/src/multiarray/arraytypes.c.src +++ b/numpy/core/src/multiarray/arraytypes.c.src @@ -4658,9 +4658,9 @@ set_typeinfo(PyObject *dict) */ if (dtypemeta_wrap_legacy_descriptor( _builtin_descrs[NPY_@NAME@], - "numpy.types." NPY_@NAME@_Name "DType", + "numpy.dtypes." NPY_@NAME@_Name "DType", #ifdef NPY_@NAME@_alias - "numpy.types." NPY_@NAME@_Alias "DType" + "numpy.dtypes." NPY_@NAME@_Alias "DType" #else NULL #endif diff --git a/numpy/core/src/multiarray/dtypemeta.c b/numpy/core/src/multiarray/dtypemeta.c index 2abbf394e..2052f17fd 100644 --- a/numpy/core/src/multiarray/dtypemeta.c +++ b/numpy/core/src/multiarray/dtypemeta.c @@ -791,7 +791,7 @@ dtypemeta_wrap_legacy_descriptor(PyArray_Descr *descr, .tp_flags = Py_TPFLAGS_DEFAULT, .tp_base = &PyArrayDescr_Type, .tp_new = (newfunc)legacy_dtype_default_new, - .tp_doc = ( + .tp_doc = ( "DType class corresponding to the scalar type and dtype of " "the same name.\n\n" "Please see `numpy.dtype` for the typical way to create\n" @@ -895,7 +895,7 @@ dtypemeta_wrap_legacy_descriptor(PyArray_Descr *descr, /* And it to the types submodule if it is a builtin dtype */ if (!PyTypeNum_ISUSERDEF(descr->type_num)) { static PyObject *add_dtype_helper = NULL; - npy_cache_import("numpy.types", "_add_dtype_helper", &add_dtype_helper); + npy_cache_import("numpy.dtypes", "_add_dtype_helper", &add_dtype_helper); if (add_dtype_helper == NULL) { return -1; } diff --git a/numpy/core/tests/test_dtype.py b/numpy/core/tests/test_dtype.py index 107b70835..57831f46f 100644 --- a/numpy/core/tests/test_dtype.py +++ b/numpy/core/tests/test_dtype.py @@ -7,7 +7,7 @@ import types from typing import Any import numpy as np -import numpy.types +import numpy.dtypes from numpy.core._rational_tests import rational from numpy.core._multiarray_tests import create_custom_field_dtype from numpy.testing import ( @@ -1572,9 +1572,9 @@ class TestDTypeClasses: dt_name += "c" sc_name = dtype.type.__name__ assert dt_name == sc_name.strip("_") - assert type(dtype).__module__ == "numpy.types" + assert type(dtype).__module__ == "numpy.dtypes" - assert getattr(numpy.types, type(dtype).__name__) is type(dtype) + assert getattr(numpy.dtypes, type(dtype).__name__) is type(dtype) else: assert type(dtype).__name__ == "dtype[rational]" assert type(dtype).__module__ == "numpy" @@ -1616,7 +1616,7 @@ class TestDTypeClasses: @pytest.mark.parametrize("int_", ["UInt", "Int"]) @pytest.mark.parametrize("size", [8, 16, 32, 64]) def test_integer_alias_names(self, int_, size): - DType = getattr(numpy.types, f"{int_}{size}DType") + DType = getattr(numpy.dtypes, f"{int_}{size}DType") sctype = getattr(numpy, f"{int_.lower()}{size}") assert DType.type is sctype assert DType.__name__.lower().removesuffix("dtype") == sctype.__name__ @@ -1625,7 +1625,7 @@ class TestDTypeClasses: ["Half", "Float", "Double", "CFloat", "CDouble"]) def test_float_alias_names(self, name): with pytest.raises(AttributeError): - getattr(numpy.types, name + "DType") is numpy.types.Float16DType + getattr(numpy.dtypes, name + "DType") is numpy.dtypes.Float16DType class TestFromCTypes: |
