Add const T to docstring generation. (#3020)

* Add const T to docstring generation.

* Change order.

* See if existing test triggers for a const type.

* Add tests.

* Fix test.

* Remove experiment.

* Reformat.

* More tests, checks run.

* Adding `test_fmt_desc_` prefix to new test functions.

* Using pytest.mark.parametrize to 1. condense test; 2. exercise all functions even if one fails; 3. be less platform-specific (e.g. C++ float is not necessarily float32).

Co-authored-by: Ralf W. Grosse-Kunstleve <rwgk@google.com>
This commit is contained in:
Jack S. Hale
2021-06-08 20:56:45 +02:00
committed by GitHub
parent e25b1505db
commit 4c7697dbe9
3 changed files with 26 additions and 2 deletions

View File

@@ -1029,7 +1029,10 @@ struct npy_format_descriptor_name<T, enable_if_t<std::is_integral<T>::value>> {
template <typename T>
struct npy_format_descriptor_name<T, enable_if_t<std::is_floating_point<T>::value>> {
static constexpr auto name = _<std::is_same<T, float>::value || std::is_same<T, double>::value>(
static constexpr auto name = _<std::is_same<T, float>::value
|| std::is_same<T, const float>::value
|| std::is_same<T, double>::value
|| std::is_same<T, const double>::value>(
_("numpy.float") + _<sizeof(T)*8>(), _("numpy.longdouble")
);
};
@@ -1037,7 +1040,9 @@ struct npy_format_descriptor_name<T, enable_if_t<std::is_floating_point<T>::valu
template <typename T>
struct npy_format_descriptor_name<T, enable_if_t<is_complex<T>::value>> {
static constexpr auto name = _<std::is_same<typename T::value_type, float>::value
|| std::is_same<typename T::value_type, double>::value>(
|| std::is_same<typename T::value_type, const float>::value
|| std::is_same<typename T::value_type, double>::value
|| std::is_same<typename T::value_type, const double>::value>(
_("numpy.complex") + _<sizeof(typename T::value_type)*16>(), _("numpy.longcomplex")
);
};