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