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Merge branch 'pybind:master' into master
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sun1638650145 authored Mar 27, 2024
2 parents e1385e2 + 705efcc commit 3c61edf
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13 changes: 12 additions & 1 deletion .github/workflows/ci.yml
Original file line number Diff line number Diff line change
Expand Up @@ -108,12 +108,14 @@ jobs:
run: python -m pip install pytest-github-actions-annotate-failures

# First build - C++11 mode and inplace
# More-or-less randomly adding -DPYBIND11_SIMPLE_GIL_MANAGEMENT=ON here.
# More-or-less randomly adding -DPYBIND11_SIMPLE_GIL_MANAGEMENT=ON here
# (same for PYBIND11_NUMPY_1_ONLY, but requires a NumPy 1.x at runtime).
- name: Configure C++11 ${{ matrix.args }}
run: >
cmake -S . -B .
-DPYBIND11_WERROR=ON
-DPYBIND11_SIMPLE_GIL_MANAGEMENT=ON
-DPYBIND11_NUMPY_1_ONLY=ON
-DDOWNLOAD_CATCH=ON
-DDOWNLOAD_EIGEN=ON
-DCMAKE_CXX_STANDARD=11
Expand All @@ -138,11 +140,13 @@ jobs:

# Second build - C++17 mode and in a build directory
# More-or-less randomly adding -DPYBIND11_SIMPLE_GIL_MANAGEMENT=OFF here.
# (same for PYBIND11_NUMPY_1_ONLY, but requires a NumPy 1.x at runtime).
- name: Configure C++17
run: >
cmake -S . -B build2
-DPYBIND11_WERROR=ON
-DPYBIND11_SIMPLE_GIL_MANAGEMENT=OFF
-DPYBIND11_NUMPY_1_ONLY=ON
-DDOWNLOAD_CATCH=ON
-DDOWNLOAD_EIGEN=ON
-DCMAKE_CXX_STANDARD=17
Expand Down Expand Up @@ -660,6 +664,11 @@ jobs:
run: |
python3 -m pip install cmake -r tests/requirements.txt
- name: Ensure NumPy 2 is used (required Python >= 3.9)
if: matrix.container == 'almalinux:9'
run: |
python3 -m pip install 'numpy>=2.0.0b1' 'scipy>=1.13.0rc1'
- name: Configure
shell: bash
run: >
Expand Down Expand Up @@ -895,8 +904,10 @@ jobs:
python-version: ${{ matrix.python }}

- name: Prepare env
# Ensure use of NumPy 2 (via NumPy nightlies but can be changed soon)
run: |
python3 -m pip install -r tests/requirements.txt
python3 -m pip install 'numpy>=2.0.0b1' 'scipy>=1.13.0rc1'
- name: Update CMake
uses: jwlawson/actions-setup-cmake@v2.0
Expand Down
5 changes: 5 additions & 0 deletions CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -109,13 +109,18 @@ option(PYBIND11_TEST "Build pybind11 test suite?" ${PYBIND11_MASTER_PROJECT})
option(PYBIND11_NOPYTHON "Disable search for Python" OFF)
option(PYBIND11_SIMPLE_GIL_MANAGEMENT
"Use simpler GIL management logic that does not support disassociation" OFF)
option(PYBIND11_NUMPY_1_ONLY
"Disable NumPy 2 support to avoid changes to previous pybind11 versions." OFF)
set(PYBIND11_INTERNALS_VERSION
""
CACHE STRING "Override the ABI version, may be used to enable the unstable ABI.")

if(PYBIND11_SIMPLE_GIL_MANAGEMENT)
add_compile_definitions(PYBIND11_SIMPLE_GIL_MANAGEMENT)
endif()
if(PYBIND11_NUMPY_1_ONLY)
add_compile_definitions(PYBIND11_NUMPY_1_ONLY)
endif()

cmake_dependent_option(
USE_PYTHON_INCLUDE_DIR
Expand Down
14 changes: 12 additions & 2 deletions include/pybind11/cast.h
Original file line number Diff line number Diff line change
Expand Up @@ -327,8 +327,9 @@ class type_caster<bool> {
value = false;
return true;
}
if (convert || (std::strcmp("numpy.bool_", Py_TYPE(src.ptr())->tp_name) == 0)) {
// (allow non-implicit conversion for numpy booleans)
if (convert || is_numpy_bool(src)) {
// (allow non-implicit conversion for numpy booleans), use strncmp
// since NumPy 1.x had an additional trailing underscore.

Py_ssize_t res = -1;
if (src.is_none()) {
Expand Down Expand Up @@ -360,6 +361,15 @@ class type_caster<bool> {
return handle(src ? Py_True : Py_False).inc_ref();
}
PYBIND11_TYPE_CASTER(bool, const_name("bool"));

private:
// Test if an object is a NumPy boolean (without fetching the type).
static inline bool is_numpy_bool(handle object) {
const char *type_name = Py_TYPE(object.ptr())->tp_name;
// Name changed to `numpy.bool` in NumPy 2, `numpy.bool_` is needed for 1.x support
return std::strcmp("numpy.bool", type_name) == 0
|| std::strcmp("numpy.bool_", type_name) == 0;
}
};

// Helper class for UTF-{8,16,32} C++ stl strings:
Expand Down
4 changes: 4 additions & 0 deletions include/pybind11/detail/common.h
Original file line number Diff line number Diff line change
Expand Up @@ -296,6 +296,10 @@ PYBIND11_WARNING_DISABLE_MSVC(4505)
# undef copysign
#endif

#if defined(PYBIND11_NUMPY_1_ONLY)
# define PYBIND11_INTERNAL_NUMPY_1_ONLY_DETECTED
#endif

#if defined(PYPY_VERSION) && !defined(PYBIND11_SIMPLE_GIL_MANAGEMENT)
# define PYBIND11_SIMPLE_GIL_MANAGEMENT
#endif
Expand Down
125 changes: 116 additions & 9 deletions include/pybind11/numpy.h
Original file line number Diff line number Diff line change
Expand Up @@ -29,10 +29,15 @@
#include <utility>
#include <vector>

#if defined(PYBIND11_NUMPY_1_ONLY) && !defined(PYBIND11_INTERNAL_NUMPY_1_ONLY_DETECTED)
# error PYBIND11_NUMPY_1_ONLY must be defined before any pybind11 header is included.
#endif

/* This will be true on all flat address space platforms and allows us to reduce the
whole npy_intp / ssize_t / Py_intptr_t business down to just ssize_t for all size
and dimension types (e.g. shape, strides, indexing), instead of inflicting this
upon the library user. */
upon the library user.
Note that NumPy 2 now uses ssize_t for `npy_intp` to simplify this. */
static_assert(sizeof(::pybind11::ssize_t) == sizeof(Py_intptr_t), "ssize_t != Py_intptr_t");
static_assert(std::is_signed<Py_intptr_t>::value, "Py_intptr_t must be signed");
// We now can reinterpret_cast between py::ssize_t and Py_intptr_t (MSVC + PyPy cares)
Expand All @@ -56,7 +61,8 @@ struct handle_type_name<array> {
template <typename type, typename SFINAE = void>
struct npy_format_descriptor;

struct PyArrayDescr_Proxy {
/* NumPy 1 proxy (always includes legacy fields) */
struct PyArrayDescr1_Proxy {
PyObject_HEAD
PyObject *typeobj;
char kind;
Expand All @@ -71,6 +77,43 @@ struct PyArrayDescr_Proxy {
PyObject *names;
};

#ifndef PYBIND11_NUMPY_1_ONLY
struct PyArrayDescr_Proxy {
PyObject_HEAD
PyObject *typeobj;
char kind;
char type;
char byteorder;
char _former_flags;
int type_num;
/* Additional fields are NumPy version specific. */
};
#else
/* NumPy 1.x only, we can expose all fields */
using PyArrayDescr_Proxy = PyArrayDescr1_Proxy;
#endif

/* NumPy 2 proxy, including legacy fields */
struct PyArrayDescr2_Proxy {
PyObject_HEAD
PyObject *typeobj;
char kind;
char type;
char byteorder;
char _former_flags;
int type_num;
std::uint64_t flags;
ssize_t elsize;
ssize_t alignment;
PyObject *metadata;
Py_hash_t hash;
void *reserved_null[2];
/* The following fields only exist if 0 <= type_num < 2056 */
char *subarray;
PyObject *fields;
PyObject *names;
};

struct PyArray_Proxy {
PyObject_HEAD
char *data;
Expand Down Expand Up @@ -134,6 +177,14 @@ PYBIND11_NOINLINE module_ import_numpy_core_submodule(const char *submodule_name
object numpy_version = numpy_lib.attr("NumpyVersion")(version_string);
int major_version = numpy_version.attr("major").cast<int>();

#ifdef PYBIND11_NUMPY_1_ONLY
if (major_version >= 2) {
throw std::runtime_error(
"This extension was built with PYBIND11_NUMPY_1_ONLY defined, "
"but NumPy 2 is used in this process. For NumPy2 compatibility, "
"this extension needs to be rebuilt without the PYBIND11_NUMPY_1_ONLY define.");
}
#endif
/* `numpy.core` was renamed to `numpy._core` in NumPy 2.0 as it officially
became a private module. */
std::string numpy_core_path = major_version >= 2 ? "numpy._core" : "numpy.core";
Expand Down Expand Up @@ -214,6 +265,8 @@ struct npy_api {
NPY_CHAR_ = std::is_signed<char>::value ? NPY_BYTE_ : NPY_UBYTE_,
};

unsigned int PyArray_RUNTIME_VERSION_;

struct PyArray_Dims {
Py_intptr_t *ptr;
int len;
Expand Down Expand Up @@ -255,6 +308,7 @@ struct npy_api {
PyObject *(*PyArray_FromAny_)(PyObject *, PyObject *, int, int, int, PyObject *);
int (*PyArray_DescrConverter_)(PyObject *, PyObject **);
bool (*PyArray_EquivTypes_)(PyObject *, PyObject *);
#ifdef PYBIND11_NUMPY_1_ONLY
int (*PyArray_GetArrayParamsFromObject_)(PyObject *,
PyObject *,
unsigned char,
Expand All @@ -263,6 +317,7 @@ struct npy_api {
Py_intptr_t *,
PyObject **,
PyObject *);
#endif
PyObject *(*PyArray_Squeeze_)(PyObject *);
// Unused. Not removed because that affects ABI of the class.
int (*PyArray_SetBaseObject_)(PyObject *, PyObject *);
Expand All @@ -283,7 +338,8 @@ struct npy_api {
API_PyArray_ScalarAsCtype = 62,
API_PyArray_FromAny = 69,
API_PyArray_Resize = 80,
API_PyArray_CopyInto = 82,
// CopyInto was slot 82 and 50 was effectively an alias. NumPy 2 removed 82.
API_PyArray_CopyInto = 50,
API_PyArray_NewCopy = 85,
API_PyArray_NewFromDescr = 94,
API_PyArray_DescrNewFromType = 96,
Expand All @@ -292,7 +348,9 @@ struct npy_api {
API_PyArray_View = 137,
API_PyArray_DescrConverter = 174,
API_PyArray_EquivTypes = 182,
#ifdef PYBIND11_NUMPY_1_ONLY
API_PyArray_GetArrayParamsFromObject = 278,
#endif
API_PyArray_SetBaseObject = 282
};

Expand All @@ -307,7 +365,8 @@ struct npy_api {
npy_api api;
#define DECL_NPY_API(Func) api.Func##_ = (decltype(api.Func##_)) api_ptr[API_##Func];
DECL_NPY_API(PyArray_GetNDArrayCFeatureVersion);
if (api.PyArray_GetNDArrayCFeatureVersion_() < 0x7) {
api.PyArray_RUNTIME_VERSION_ = api.PyArray_GetNDArrayCFeatureVersion_();
if (api.PyArray_RUNTIME_VERSION_ < 0x7) {
pybind11_fail("pybind11 numpy support requires numpy >= 1.7.0");
}
DECL_NPY_API(PyArray_Type);
Expand All @@ -329,7 +388,9 @@ struct npy_api {
DECL_NPY_API(PyArray_View);
DECL_NPY_API(PyArray_DescrConverter);
DECL_NPY_API(PyArray_EquivTypes);
#ifdef PYBIND11_NUMPY_1_ONLY
DECL_NPY_API(PyArray_GetArrayParamsFromObject);
#endif
DECL_NPY_API(PyArray_SetBaseObject);

#undef DECL_NPY_API
Expand Down Expand Up @@ -433,6 +494,14 @@ inline const PyArrayDescr_Proxy *array_descriptor_proxy(const PyObject *ptr) {
return reinterpret_cast<const PyArrayDescr_Proxy *>(ptr);
}

inline const PyArrayDescr1_Proxy *array_descriptor1_proxy(const PyObject *ptr) {
return reinterpret_cast<const PyArrayDescr1_Proxy *>(ptr);
}

inline const PyArrayDescr2_Proxy *array_descriptor2_proxy(const PyObject *ptr) {
return reinterpret_cast<const PyArrayDescr2_Proxy *>(ptr);
}

inline bool check_flags(const void *ptr, int flag) {
return (flag == (array_proxy(ptr)->flags & flag));
}
Expand Down Expand Up @@ -759,10 +828,32 @@ class dtype : public object {
}

/// Size of the data type in bytes.
#ifdef PYBIND11_NUMPY_1_ONLY
ssize_t itemsize() const { return detail::array_descriptor_proxy(m_ptr)->elsize; }
#else
ssize_t itemsize() const {
if (detail::npy_api::get().PyArray_RUNTIME_VERSION_ < 0x12) {
return detail::array_descriptor1_proxy(m_ptr)->elsize;
}
return detail::array_descriptor2_proxy(m_ptr)->elsize;
}
#endif

/// Returns true for structured data types.
#ifdef PYBIND11_NUMPY_1_ONLY
bool has_fields() const { return detail::array_descriptor_proxy(m_ptr)->names != nullptr; }
#else
bool has_fields() const {
if (detail::npy_api::get().PyArray_RUNTIME_VERSION_ < 0x12) {
return detail::array_descriptor1_proxy(m_ptr)->names != nullptr;
}
const auto *proxy = detail::array_descriptor2_proxy(m_ptr);
if (proxy->type_num < 0 || proxy->type_num >= 2056) {
return false;
}
return proxy->names != nullptr;
}
#endif

/// Single-character code for dtype's kind.
/// For example, floating point types are 'f' and integral types are 'i'.
Expand All @@ -788,11 +879,29 @@ class dtype : public object {
/// Single character for byteorder
char byteorder() const { return detail::array_descriptor_proxy(m_ptr)->byteorder; }

/// Alignment of the data type
/// Alignment of the data type
#ifdef PYBIND11_NUMPY_1_ONLY
int alignment() const { return detail::array_descriptor_proxy(m_ptr)->alignment; }
#else
ssize_t alignment() const {
if (detail::npy_api::get().PyArray_RUNTIME_VERSION_ < 0x12) {
return detail::array_descriptor1_proxy(m_ptr)->alignment;
}
return detail::array_descriptor2_proxy(m_ptr)->alignment;
}
#endif

/// Flags for the array descriptor
/// Flags for the array descriptor
#ifdef PYBIND11_NUMPY_1_ONLY
char flags() const { return detail::array_descriptor_proxy(m_ptr)->flags; }
#else
std::uint64_t flags() const {
if (detail::npy_api::get().PyArray_RUNTIME_VERSION_ < 0x12) {
return (unsigned char) detail::array_descriptor1_proxy(m_ptr)->flags;
}
return detail::array_descriptor2_proxy(m_ptr)->flags;
}
#endif

private:
static object &_dtype_from_pep3118() {
Expand Down Expand Up @@ -959,9 +1068,7 @@ class array : public buffer {
}

/// Byte size of a single element
ssize_t itemsize() const {
return detail::array_descriptor_proxy(detail::array_proxy(m_ptr)->descr)->elsize;
}
ssize_t itemsize() const { return dtype().itemsize(); }

/// Total number of bytes
ssize_t nbytes() const { return size() * itemsize(); }
Expand Down
1 change: 1 addition & 0 deletions tests/conftest.py
Original file line number Diff line number Diff line change
Expand Up @@ -218,4 +218,5 @@ def pytest_report_header(config):
f" {pybind11_tests.cpp_std}"
f" {pybind11_tests.PYBIND11_INTERNALS_ID}"
f" PYBIND11_SIMPLE_GIL_MANAGEMENT={pybind11_tests.PYBIND11_SIMPLE_GIL_MANAGEMENT}"
f" PYBIND11_NUMPY_1_ONLY={pybind11_tests.PYBIND11_NUMPY_1_ONLY}"
)
6 changes: 6 additions & 0 deletions tests/pybind11_tests.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -95,6 +95,12 @@ PYBIND11_MODULE(pybind11_tests, m) {
#else
false;
#endif
m.attr("PYBIND11_NUMPY_1_ONLY") =
#if defined(PYBIND11_NUMPY_1_ONLY)
true;
#else
false;
#endif

bind_ConstructorStats(m);

Expand Down
4 changes: 4 additions & 0 deletions tests/test_constants_and_functions.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,11 @@ int f2(int x) noexcept(true) { return x + 2; }
int f3(int x) noexcept(false) { return x + 3; }
PYBIND11_WARNING_PUSH
PYBIND11_WARNING_DISABLE_GCC("-Wdeprecated")
#if defined(__clang_major__) && __clang_major__ >= 5
PYBIND11_WARNING_DISABLE_CLANG("-Wdeprecated-dynamic-exception-spec")
#else
PYBIND11_WARNING_DISABLE_CLANG("-Wdeprecated")
#endif
// NOLINTNEXTLINE(modernize-use-noexcept)
int f4(int x) throw() { return x + 4; } // Deprecated equivalent to noexcept(true)
PYBIND11_WARNING_POP
Expand Down
4 changes: 3 additions & 1 deletion tests/test_eigen_matrix.py
Original file line number Diff line number Diff line change
Expand Up @@ -608,7 +608,9 @@ def test_both_ref_mutators():
def test_nocopy_wrapper():
# get_elem requires a column-contiguous matrix reference, but should be
# callable with other types of matrix (via copying):
int_matrix_colmajor = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], order="F")
int_matrix_colmajor = np.array(
[[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype="l", order="F"
)
dbl_matrix_colmajor = np.array(
int_matrix_colmajor, dtype="double", order="F", copy=True
)
Expand Down
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