[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
This commit is contained in:
pre-commit-ci[bot] 2022-02-14 23:53:22 +00:00
parent 574a47091e
commit 2f8dbb3b06
3 changed files with 60 additions and 52 deletions

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@ -38,7 +38,8 @@ PYBIND11_NAMESPACE_BEGIN(PYBIND11_NAMESPACE)
class array; // Forward declaration
template<typename> struct numpy_scalar; // Forward declaration
template <typename>
struct numpy_scalar; // Forward declaration
PYBIND11_NAMESPACE_BEGIN(detail)
@ -120,18 +121,17 @@ inline numpy_internals &get_numpy_internals() {
return *ptr;
}
template <typename T>
struct same_size {
template <typename U>
using as = bool_constant<sizeof(T) == sizeof(U)>;
};
template <std::size_t> constexpr int platform_lookup() {
return -1;
template <std::size_t>
constexpr int platform_lookup() {
return -1;
}
// Lookup a type according to its size, and return a value corresponding to the NumPy typenum.
template <std::size_t size, typename T, typename... Ts, typename... Ints>
constexpr int platform_lookup(int I, Ints... Is) {
@ -176,22 +176,22 @@ struct npy_api {
// `npy_common.h` defines the integer aliases. In order, it checks:
// NPY_BITSOF_LONG, NPY_BITSOF_LONGLONG, NPY_BITSOF_INT, NPY_BITSOF_SHORT, NPY_BITSOF_CHAR
// and assigns the alias to the first matching size, so we should check in this order.
NPY_INT32_ = platform_lookup<4, long, int, short>(
NPY_LONG_, NPY_INT_, NPY_SHORT_),
NPY_INT32_ = platform_lookup<4, long, int, short>(NPY_LONG_, NPY_INT_, NPY_SHORT_),
NPY_UINT32_ = platform_lookup<4, unsigned long, unsigned int, unsigned short>(
NPY_ULONG_, NPY_UINT_, NPY_USHORT_),
NPY_INT64_ = platform_lookup<8, long, long long, int>(
NPY_LONG_, NPY_LONGLONG_, NPY_INT_),
NPY_INT64_ = platform_lookup<8, long, long long, int>(NPY_LONG_, NPY_LONGLONG_, NPY_INT_),
NPY_UINT64_ = platform_lookup<8, unsigned long, unsigned long long, unsigned int>(
NPY_ULONG_, NPY_ULONGLONG_, NPY_UINT_),
NPY_FLOAT32_ = platform_lookup<4, double, float, long double>(
NPY_DOUBLE_, NPY_FLOAT_, NPY_LONGDOUBLE_),
NPY_FLOAT64_ = platform_lookup<8, double, float, long double>(
NPY_DOUBLE_, NPY_FLOAT_, NPY_LONGDOUBLE_),
NPY_COMPLEX64_ = platform_lookup<8, std::complex<double>, std::complex<float>, std::complex<long double>>(
NPY_DOUBLE_, NPY_FLOAT_, NPY_LONGDOUBLE_),
NPY_COMPLEX128_ = platform_lookup<8, std::complex<double>, std::complex<float>, std::complex<long double>>(
NPY_DOUBLE_, NPY_FLOAT_, NPY_LONGDOUBLE_),
NPY_FLOAT32_
= platform_lookup<4, double, float, long double>(NPY_DOUBLE_, NPY_FLOAT_, NPY_LONGDOUBLE_),
NPY_FLOAT64_
= platform_lookup<8, double, float, long double>(NPY_DOUBLE_, NPY_FLOAT_, NPY_LONGDOUBLE_),
NPY_COMPLEX64_
= platform_lookup<8, std::complex<double>, std::complex<float>, std::complex<long double>>(
NPY_DOUBLE_, NPY_FLOAT_, NPY_LONGDOUBLE_),
NPY_COMPLEX128_
= platform_lookup<8, std::complex<double>, std::complex<float>, std::complex<long double>>(
NPY_DOUBLE_, NPY_FLOAT_, NPY_LONGDOUBLE_),
NPY_CHAR_ = std::is_signed<char>::value ? NPY_BYTE_ : NPY_UBYTE_,
};
@ -217,7 +217,7 @@ struct npy_api {
PyObject *(*PyArray_TypeObjectFromType_)(int);
PyObject *(*PyArray_NewFromDescr_)(PyTypeObject *,
PyObject *,
int,
int,
Py_intptr_t const *,
Py_intptr_t const *,
void *,
@ -325,32 +325,36 @@ struct npy_format_descriptor_name;
template <typename T>
struct npy_format_descriptor_name<T, enable_if_t<std::is_integral<T>::value>> {
static constexpr auto name = const_name<std::is_same<T, bool>::value>(
const_name("bool"), const_name<std::is_signed<T>::value>("int", "uint") + const_name<sizeof(T)*8>()
);
const_name("bool"),
const_name<std::is_signed<T>::value>("int", "uint") + const_name<sizeof(T) * 8>());
};
template <typename T>
struct npy_format_descriptor_name<T, enable_if_t<std::is_floating_point<T>::value>> {
static constexpr auto name = const_name<std::is_same<T, float>::value || std::is_same<T, double>::value>(
const_name("float") + const_name<sizeof(T)*8>(), const_name("longdouble")
);
static constexpr auto name
= const_name < std::is_same<T, float>::value
|| std::is_same<T, double>::value
> (const_name("float") + const_name<sizeof(T) * 8>(), const_name("longdouble"));
};
template <typename T>
struct npy_format_descriptor_name<T, enable_if_t<is_complex<T>::value>> {
static constexpr auto name = const_name<std::is_same<typename T::value_type, float>::value
|| std::is_same<typename T::value_type, double>::value>(
const_name("complex") + const_name<sizeof(typename T::value_type)*16>(), const_name("longcomplex")
);
static constexpr auto name
= const_name < std::is_same<typename T::value_type, float>::value
|| std::is_same<typename T::value_type, double>::value
> (const_name("complex") + const_name<sizeof(typename T::value_type) * 16>(),
const_name("longcomplex"));
};
template<typename T> struct numpy_scalar_info {};
template <typename T>
struct numpy_scalar_info {};
#define DECL_NPY_SCALAR(ctype_, typenum_) \
template<> struct numpy_scalar_info<ctype_> { \
static constexpr auto name = npy_format_descriptor_name<ctype_>::name; \
static constexpr int typenum = npy_api::typenum_##_; \
}
#define DECL_NPY_SCALAR(ctype_, typenum_) \
template <> \
struct numpy_scalar_info<ctype_> { \
static constexpr auto name = npy_format_descriptor_name<ctype_>::name; \
static constexpr int typenum = npy_api::typenum_##_; \
}
// boolean type
DECL_NPY_SCALAR(bool, NPY_BOOL);
@ -392,8 +396,7 @@ DECL_NPY_SCALAR(std::complex<long double>, NPY_CLONGDOUBLE);
#undef DECL_NPY_SCALAR
inline PyArray_Proxy* array_proxy(void* ptr) { return reinterpret_cast<PyArray_Proxy *>(ptr); }
inline PyArray_Proxy *array_proxy(void *ptr) { return reinterpret_cast<PyArray_Proxy *>(ptr); }
inline const PyArray_Proxy *array_proxy(const void *ptr) {
return reinterpret_cast<const PyArray_Proxy *>(ptr);
@ -413,7 +416,7 @@ inline bool check_flags(const void *ptr, int flag) {
template <typename T>
struct is_std_array : std::false_type {};
template <typename T, size_t N>
template <typename T, size_t N>
struct is_std_array<std::array<T, N>> : std::true_type {};
template <typename T>
@ -628,19 +631,19 @@ template <typename T, ssize_t Dim>
struct type_caster<unchecked_mutable_reference<T, Dim>>
: type_caster<unchecked_reference<T, Dim>> {};
template<typename T>
template <typename T>
struct type_caster<numpy_scalar<T>> {
using value_type = T;
using type_info = numpy_scalar_info<T>;
PYBIND11_TYPE_CASTER(numpy_scalar<T>, type_info::name);
static handle& target_type() {
static handle &target_type() {
static handle tp = npy_api::get().PyArray_TypeObjectFromType_(type_info::typenum);
return tp;
}
static handle& target_dtype() {
static handle &target_dtype() {
static handle tp = npy_api::get().PyArray_DescrFromType_(type_info::typenum);
return tp;
}
@ -660,7 +663,7 @@ struct type_caster<numpy_scalar<T>> {
PYBIND11_NAMESPACE_END(detail)
template<typename T>
template <typename T>
struct numpy_scalar {
using value_type = T;
@ -670,10 +673,13 @@ struct numpy_scalar {
numpy_scalar(value_type value) : value(value) {}
operator value_type() { return value; }
numpy_scalar& operator=(value_type value) { this->value = value; return *this; }
numpy_scalar &operator=(value_type value) {
this->value = value;
return *this;
}
};
template<typename T>
template <typename T>
numpy_scalar<T> make_scalar(T value) {
return numpy_scalar<T>(value);
}

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@ -7,26 +7,29 @@
BSD-style license that can be found in the LICENSE file.
*/
#include <pybind11/numpy.h>
#include "pybind11_tests.h"
#include <complex>
#include <cstdint>
#include "pybind11_tests.h"
#include <pybind11/numpy.h>
namespace py = pybind11;
template<typename T>
template <typename T>
struct add {
T x;
add(T x) : x(x) {}
T operator()(T y) const { return static_cast<T>(x + y); }
};
template<typename T, typename F>
void register_test(py::module& m, const char *name, F&& func) {
m.def((std::string("test_") + name).c_str(), [=](py::numpy_scalar<T> v) {
return std::make_tuple(name, py::make_scalar(static_cast<T>(func(v.value))));
}, py::arg("x"));
template <typename T, typename F>
void register_test(py::module &m, const char *name, F &&func) {
m.def((std::string("test_") + name).c_str(),
[=](py::numpy_scalar<T> v) {
return std::make_tuple(name, py::make_scalar(static_cast<T>(func(v.value))));
},
py::arg("x"));
}
TEST_SUBMODULE(numpy_scalars, m) {

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@ -1,4 +1,3 @@
# -*- coding: utf-8 -*-
import sys
import pytest