d-mercator/python/pybind11/tests/test_numpy_dtypes.cpp at main · networkgeometry/d-mercator · GitHub

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tests/test_numpy_dtypes.cpp -- Structured and compound NumPy dtypes

BSD-style license that can be found in the LICENSE file.

#include <pybind11/numpy.h>

#include "pybind11_tests.h"

#ifdef __GNUC__

# define PYBIND11_PACKED(cls) cls __attribute__((__packed__))

#else

# define PYBIND11_PACKED(cls) __pragma(pack(push, 1)) cls __pragma(pack(pop))

#endif

namespace py = pybind11;

struct SimpleStruct {

bool bool_;

uint32_t uint_;

float float_;

long double ldbl_;

};

std::ostream &operator<<(std::ostream &os, const SimpleStruct &v) {

return os << "s:" << v.bool_ << "," << v.uint_ << "," << v.float_ << "," << v.ldbl_;

}

struct SimpleStructReordered {

bool bool_;

float float_;

uint32_t uint_;

long double ldbl_;

};

PYBIND11_PACKED(struct PackedStruct {

bool bool_;

uint32_t uint_;

float float_;

long double ldbl_;

});

std::ostream &operator<<(std::ostream &os, const PackedStruct &v) {

return os << "p:" << v.bool_ << "," << v.uint_ << "," << v.float_ << "," << v.ldbl_;

}

PYBIND11_PACKED(struct NestedStruct {

SimpleStruct a;

PackedStruct b;

});

std::ostream &operator<<(std::ostream &os, const NestedStruct &v) {

return os << "n:a=" << v.a << ";b=" << v.b;

}

struct PartialStruct {

bool bool_;

uint32_t uint_;

float float_;

uint64_t dummy2;

long double ldbl_;

};

struct PartialNestedStruct {

uint64_t dummy1;

PartialStruct a;

uint64_t dummy2;

};

struct UnboundStruct {};

struct StringStruct {

char a[3];

std::array<char, 3> b;

};

struct ComplexStruct {

std::complex<float> cflt;

std::complex<double> cdbl;

};

std::ostream &operator<<(std::ostream &os, const ComplexStruct &v) {

return os << "c:" << v.cflt << "," << v.cdbl;

}

struct ArrayStruct {

char a[3][4];

int32_t b[2];

std::array<uint8_t, 3> c;

std::array<float, 2> d[4];

};

PYBIND11_PACKED(struct StructWithUglyNames {

int8_t __x__;

uint64_t __y__;

});

enum class E1 : int64_t { A = -1, B = 1 };

enum E2 : uint8_t { X = 1, Y = 2 };

PYBIND11_PACKED(struct EnumStruct {

E1 e1;

E2 e2;

});

std::ostream &operator<<(std::ostream &os, const StringStruct &v) {

os << "a='";

for (size_t i = 0; i < 3 && (v.a[i] != 0); i++) {

os << v.a[i];

}

os << "',b='";

for (size_t i = 0; i < 3 && (v.b[i] != 0); i++) {

os << v.b[i];

}

return os << "'";

}

std::ostream &operator<<(std::ostream &os, const ArrayStruct &v) {

os << "a={";

for (int i = 0; i < 3; i++) {

if (i > 0) {

os << ',';

}

os << '{';

for (int j = 0; j < 3; j++) {

os << v.a[i][j] << ',';

}

os << v.a[i][3] << '}';

}

os << "},b={" << v.b[0] << ',' << v.b[1];

os << "},c={" << int(v.c[0]) << ',' << int(v.c[1]) << ',' << int(v.c[2]);

os << "},d={";

for (int i = 0; i < 4; i++) {

if (i > 0) {

os << ',';

}

os << '{' << v.d[i][0] << ',' << v.d[i][1] << '}';

}

return os << '}';

}

std::ostream &operator<<(std::ostream &os, const EnumStruct &v) {

return os << "e1=" << (v.e1 == E1::A ? "A" : "B") << ",e2=" << (v.e2 == E2::X ? "X" : "Y");

}

template <typename T>

py::array mkarray_via_buffer(size_t n) {

return py::array(py::buffer_info(

nullptr, sizeof(T), py::format_descriptor<T>::format(), 1, {n}, {sizeof(T)}));

}

#define SET_TEST_VALS(s, i) \

do { \

(s).bool_ = (i) % 2 != 0; \

(s).uint_ = (uint32_t) (i); \

(s).float_ = (float) (i) *1.5f; \

(s).ldbl_ = (long double) (i) * -2.5L; \

} while (0)

template <typename S>

py::array_t<S, 0> create_recarray(size_t n) {

auto arr = mkarray_via_buffer<S>(n);

auto req = arr.request();

auto *ptr = static_cast<S *>(req.ptr);

for (size_t i = 0; i < n; i++) {

SET_TEST_VALS(ptr[i], i);

}

return arr;

}

template <typename S>

py::list print_recarray(py::array_t<S, 0> arr) {

const auto req = arr.request();

auto *const ptr = static_cast<S *>(req.ptr);

auto l = py::list();

for (py::ssize_t i = 0; i < req.size; i++) {

std::stringstream ss;

ss << ptr[i];

l.append(py::str(ss.str()));

}

return l;

}

py::array_t<int32_t, 0> test_array_ctors(int i) {

using arr_t = py::array_t<int32_t, 0>;

std::vector<int32_t> data{1, 2, 3, 4, 5, 6};

std::vector<py::ssize_t> shape{3, 2};

std::vector<py::ssize_t> strides{8, 4};

auto *ptr = data.data();

auto *vptr = (void *) ptr;

auto dtype = py::dtype("int32");

py::buffer_info buf_ndim1(vptr, 4, "i", 6);

py::buffer_info buf_ndim1_null(nullptr, 4, "i", 6);

py::buffer_info buf_ndim2(vptr, 4, "i", 2, shape, strides);

py::buffer_info buf_ndim2_null(nullptr, 4, "i", 2, shape, strides);

auto fill = [](py::array arr) {

auto req = arr.request();

for (int i = 0; i < 6; i++) {

((int32_t *) req.ptr)[i] = i + 1;

}

return arr;

};

switch (i) {

// shape: (3, 2)

case 10:

return arr_t(shape, strides, ptr);

case 11:

return py::array(shape, strides, ptr);

case 12:

return py::array(dtype, shape, strides, vptr);

case 13:

return arr_t(shape, ptr);

case 14:

return py::array(shape, ptr);

case 15:

return py::array(dtype, shape, vptr);

case 16:

return arr_t(buf_ndim2);

case 17:

return py::array(buf_ndim2);

// shape: (3, 2) - post-fill

case 20:

return fill(arr_t(shape, strides));

case 21:

return py::array(shape, strides, ptr); // can't have nullptr due to templated ctor

case 22:

return fill(py::array(dtype, shape, strides));

case 23:

return fill(arr_t(shape));

case 24:

return py::array(shape, ptr); // can't have nullptr due to templated ctor

case 25:

return fill(py::array(dtype, shape));

case 26:

return fill(arr_t(buf_ndim2_null));

case 27:

return fill(py::array(buf_ndim2_null));

// shape: (6, )

case 30:

return arr_t(6, ptr);

case 31:

return py::array(6, ptr);

case 32:

return py::array(dtype, 6, vptr);

case 33:

return arr_t(buf_ndim1);

case 34:

return py::array(buf_ndim1);

// shape: (6, )

case 40:

return fill(arr_t(6));

case 41:

return py::array(6, ptr); // can't have nullptr due to templated ctor

case 42:

return fill(py::array(dtype, 6));

case 43:

return fill(arr_t(buf_ndim1_null));

case 44:

return fill(py::array(buf_ndim1_null));

}

return arr_t();

}

py::list test_dtype_ctors() {

py::list list;

list.append(py::dtype("int32"));

list.append(py::dtype(std::string("float64")));

list.append(py::dtype::from_args(py::str("bool")));

py::list names, offsets, formats;

py::dict dict;

names.append(py::str("a"));

names.append(py::str("b"));

dict["names"] = names;

offsets.append(py::int_(1));

offsets.append(py::int_(10));

dict["offsets"] = offsets;

formats.append(py::dtype("int32"));

formats.append(py::dtype("float64"));

dict["formats"] = formats;

dict["itemsize"] = py::int_(20);

list.append(py::dtype::from_args(dict));

list.append(py::dtype(names, formats, offsets, 20));

list.append(py::dtype(py::buffer_info((void *) nullptr, sizeof(unsigned int), "I", 1)));

list.append(py::dtype(py::buffer_info((void *) nullptr, 0, "T{i:a:f:b:}", 1)));

list.append(py::dtype(py::detail::npy_api::NPY_DOUBLE_));

return list;

}

struct A {};

struct B {};

TEST_SUBMODULE(numpy_dtypes, m) {

try {

py::module_::import("numpy");

} catch (const py::error_already_set &) {

return;

}

// typeinfo may be registered before the dtype descriptor for scalar casts to work...

py::class_<SimpleStruct>(m, "SimpleStruct")

// Explicit construct to ensure zero-valued initialization.

.def(py::init([]() { return SimpleStruct(); }))

.def_readwrite("bool_", &SimpleStruct::bool_)

.def_readwrite("uint_", &SimpleStruct::uint_)

.def_readwrite("float_", &SimpleStruct::float_)

.def_readwrite("ldbl_", &SimpleStruct::ldbl_)

.def("astuple",

[](const SimpleStruct &self) {

return py::make_tuple(self.bool_, self.uint_, self.float_, self.ldbl_);

})

.def_static("fromtuple", [](const py::tuple &tup) {

if (py::len(tup) != 4) {

throw py::cast_error("Invalid size");

}

return SimpleStruct{tup[0].cast<bool>(),

tup[1].cast<uint32_t>(),

tup[2].cast<float>(),

tup[3].cast<long double>()};

});

PYBIND11_NUMPY_DTYPE(SimpleStruct, bool_, uint_, float_, ldbl_);

PYBIND11_NUMPY_DTYPE(SimpleStructReordered, bool_, uint_, float_, ldbl_);

PYBIND11_NUMPY_DTYPE(PackedStruct, bool_, uint_, float_, ldbl_);

PYBIND11_NUMPY_DTYPE(NestedStruct, a, b);

PYBIND11_NUMPY_DTYPE(PartialStruct, bool_, uint_, float_, ldbl_);

PYBIND11_NUMPY_DTYPE(PartialNestedStruct, a);

PYBIND11_NUMPY_DTYPE(StringStruct, a, b);

PYBIND11_NUMPY_DTYPE(ArrayStruct, a, b, c, d);

PYBIND11_NUMPY_DTYPE(EnumStruct, e1, e2);

PYBIND11_NUMPY_DTYPE(ComplexStruct, cflt, cdbl);

// ... or after

py::class_<PackedStruct>(m, "PackedStruct");

PYBIND11_NUMPY_DTYPE_EX(StructWithUglyNames, __x__, "x", __y__, "y");

#ifdef PYBIND11_NEVER_DEFINED_EVER

// If enabled, this should produce a static_assert failure telling the user that the struct

// is not a POD type

struct NotPOD {

std::string v;

NotPOD() : v("hi"){};

};

PYBIND11_NUMPY_DTYPE(NotPOD, v);

#endif

// Check that dtypes can be registered programmatically, both from

// initializer lists of field descriptors and from other containers.

py::detail::npy_format_descriptor<A>::register_dtype({});

py::detail::npy_format_descriptor<B>::register_dtype(

std::vector<py::detail::field_descriptor>{});

// test_recarray, test_scalar_conversion

m.def("create_rec_simple", &create_recarray<SimpleStruct>);

m.def("create_rec_packed", &create_recarray<PackedStruct>);

m.def("create_rec_nested", [](size_t n) { // test_signature

py::array_t<NestedStruct, 0> arr = mkarray_via_buffer<NestedStruct>(n);

auto req = arr.request();

auto *ptr = static_cast<NestedStruct *>(req.ptr);

for (size_t i = 0; i < n; i++) {

SET_TEST_VALS(ptr[i].a, i);

SET_TEST_VALS(ptr[i].b, i + 1);

}

return arr;

});

m.def("create_rec_partial", &create_recarray<PartialStruct>);

m.def("create_rec_partial_nested", [](size_t n) {

py::array_t<PartialNestedStruct, 0> arr = mkarray_via_buffer<PartialNestedStruct>(n);

auto req = arr.request();

auto *ptr = static_cast<PartialNestedStruct *>(req.ptr);

for (size_t i = 0; i < n; i++) {

SET_TEST_VALS(ptr[i].a, i);

}

return arr;

});

m.def("print_rec_simple", &print_recarray<SimpleStruct>);

m.def("print_rec_packed", &print_recarray<PackedStruct>);

m.def("print_rec_nested", &print_recarray<NestedStruct>);

// test_format_descriptors

m.def("get_format_unbound", []() { return py::format_descriptor<UnboundStruct>::format(); });

m.def("print_format_descriptors", []() {

py::list l;

for (const auto &fmt : {py::format_descriptor<SimpleStruct>::format(),

py::format_descriptor<PackedStruct>::format(),

py::format_descriptor<NestedStruct>::format(),

py::format_descriptor<PartialStruct>::format(),

py::format_descriptor<PartialNestedStruct>::format(),

py::format_descriptor<StringStruct>::format(),

py::format_descriptor<ArrayStruct>::format(),

py::format_descriptor<EnumStruct>::format(),

py::format_descriptor<ComplexStruct>::format()}) {

l.append(py::cast(fmt));

}

return l;

});

// test_dtype

std::vector<const char *> dtype_names{

"byte", "short", "intc", "int_", "longlong", "ubyte", "ushort",

"uintc", "uint", "ulonglong", "half", "single", "double", "longdouble",

"csingle", "cdouble", "clongdouble", "bool_", "datetime64", "timedelta64", "object_"};

m.def("print_dtypes", []() {

py::list l;

for (const py::handle &d : {py::dtype::of<SimpleStruct>(),

py::dtype::of<PackedStruct>(),

py::dtype::of<NestedStruct>(),

py::dtype::of<PartialStruct>(),

py::dtype::of<PartialNestedStruct>(),

py::dtype::of<StringStruct>(),

py::dtype::of<ArrayStruct>(),

py::dtype::of<EnumStruct>(),

py::dtype::of<StructWithUglyNames>(),

py::dtype::of<ComplexStruct>()}) {

l.append(py::str(d));

}

return l;

});

m.def("test_dtype_ctors", &test_dtype_ctors);

m.def("test_dtype_kind", [dtype_names]() {

py::list list;

for (const auto &dt_name : dtype_names) {

list.append(py::dtype(dt_name).kind());

}

return list;

});

m.def("test_dtype_char_", [dtype_names]() {

py::list list;

for (const auto &dt_name : dtype_names) {

list.append(py::dtype(dt_name).char_());

}

return list;

});

m.def("test_dtype_num", [dtype_names]() {

py::list list;

for (const auto &dt_name : dtype_names) {

list.append(py::dtype(dt_name).num());

}

return list;

});

m.def("test_dtype_byteorder", [dtype_names]() {

py::list list;

for (const auto &dt_name : dtype_names) {

list.append(py::dtype(dt_name).byteorder());

}

return list;

});

m.def("test_dtype_alignment", [dtype_names]() {

py::list list;

for (const auto &dt_name : dtype_names) {

list.append(py::dtype(dt_name).alignment());

}

return list;

});

m.def("test_dtype_flags", [dtype_names]() {

py::list list;

for (const auto &dt_name : dtype_names) {

list.append(py::dtype(dt_name).flags());

}

return list;

});

m.def("test_dtype_methods", []() {

py::list list;

auto dt1 = py::dtype::of<int32_t>();

auto dt2 = py::dtype::of<SimpleStruct>();

list.append(dt1);

list.append(dt2);

list.append(py::bool_(dt1.has_fields()));

list.append(py::bool_(dt2.has_fields()));

list.append(py::int_(dt1.itemsize()));

list.append(py::int_(dt2.itemsize()));

return list;

});

struct TrailingPaddingStruct {

int32_t a;

char b;

};

PYBIND11_NUMPY_DTYPE(TrailingPaddingStruct, a, b);

m.def("trailing_padding_dtype", []() { return py::dtype::of<TrailingPaddingStruct>(); });

// test_string_array

m.def("create_string_array", [](bool non_empty) {

py::array_t<StringStruct, 0> arr = mkarray_via_buffer<StringStruct>(non_empty ? 4 : 0);

if (non_empty) {

auto req = arr.request();

auto *ptr = static_cast<StringStruct *>(req.ptr);

for (py::ssize_t i = 0; i < req.size * req.itemsize; i++) {

static_cast<char *>(req.ptr)[i] = 0;

}

ptr[1].a[0] = 'a';

ptr[1].b[0] = 'a';

ptr[2].a[0] = 'a';

ptr[2].b[0] = 'a';

ptr[3].a[0] = 'a';

ptr[3].b[0] = 'a';

ptr[2].a[1] = 'b';

ptr[2].b[1] = 'b';

ptr[3].a[1] = 'b';

ptr[3].b[1] = 'b';

ptr[3].a[2] = 'c';

ptr[3].b[2] = 'c';

}

return arr;

});

m.def("print_string_array", &print_recarray<StringStruct>);

// test_array_array

m.def("create_array_array", [](size_t n) {

py::array_t<ArrayStruct, 0> arr = mkarray_via_buffer<ArrayStruct>(n);

auto *ptr = (ArrayStruct *) arr.mutable_data();

for (size_t i = 0; i < n; i++) {

for (size_t j = 0; j < 3; j++) {

for (size_t k = 0; k < 4; k++) {

ptr[i].a[j][k] = char('A' + (i * 100 + j * 10 + k) % 26);

}

for (size_t j = 0; j < 2; j++) {

ptr[i].b[j] = int32_t(i * 1000 + j);

}

for (size_t j = 0; j < 3; j++) {

ptr[i].c[j] = uint8_t(i * 10 + j);

}

for (size_t j = 0; j < 4; j++) {

for (size_t k = 0; k < 2; k++) {

ptr[i].d[j][k] = float(i) * 100.0f + float(j) * 10.0f + float(k);

}

return arr;

});

m.def("print_array_array", &print_recarray<ArrayStruct>);

// test_enum_array

m.def("create_enum_array", [](size_t n) {

py::array_t<EnumStruct, 0> arr = mkarray_via_buffer<EnumStruct>(n);

auto *ptr = (EnumStruct *) arr.mutable_data();

for (size_t i = 0; i < n; i++) {

ptr[i].e1 = static_cast<E1>(-1 + ((int) i % 2) * 2);

ptr[i].e2 = static_cast<E2>(1 + (i % 2));

}

return arr;

});

m.def("print_enum_array", &print_recarray<EnumStruct>);

// test_complex_array

m.def("create_complex_array", [](size_t n) {

py::array_t<ComplexStruct, 0> arr = mkarray_via_buffer<ComplexStruct>(n);

auto *ptr = (ComplexStruct *) arr.mutable_data();

for (size_t i = 0; i < n; i++) {

ptr[i].cflt.real(float(i));

ptr[i].cflt.imag(float(i) + 0.25f);

ptr[i].cdbl.real(double(i) + 0.5);

ptr[i].cdbl.imag(double(i) + 0.75);

}

return arr;

});

m.def("print_complex_array", &print_recarray<ComplexStruct>);

// test_array_constructors

m.def("test_array_ctors", &test_array_ctors);

// test_compare_buffer_info

struct CompareStruct {

bool x;

uint32_t y;

float z;

};

PYBIND11_NUMPY_DTYPE(CompareStruct, x, y, z);

m.def("compare_buffer_info", []() {

py::list list;

list.append(py::bool_(py::detail::compare_buffer_info<float>::compare(

py::buffer_info(nullptr, sizeof(float), "f", 1))));

list.append(py::bool_(py::detail::compare_buffer_info<unsigned>::compare(

py::buffer_info(nullptr, sizeof(int), "I", 1))));

list.append(py::bool_(py::detail::compare_buffer_info<long>::compare(

py::buffer_info(nullptr, sizeof(long), "l", 1))));

list.append(py::bool_(py::detail::compare_buffer_info<long>::compare(

py::buffer_info(nullptr, sizeof(long), sizeof(long) == sizeof(int) ? "i" : "q", 1))));

list.append(py::bool_(py::detail::compare_buffer_info<CompareStruct>::compare(

py::buffer_info(nullptr, sizeof(CompareStruct), "T{?:x:3xI:y:f:z:}", 1))));

return list;

});

m.def("buffer_to_dtype", [](py::buffer &buf) { return py::dtype(buf.request()); });

// test_scalar_conversion

auto f_simple = [](SimpleStruct s) { return s.uint_ * 10; };

m.def("f_simple", f_simple);

m.def("f_packed", [](PackedStruct s) { return s.uint_ * 10; });

m.def("f_nested", [](NestedStruct s) { return s.a.uint_ * 10; });

// test_vectorize

m.def("f_simple_vectorized", py::vectorize(f_simple));

auto f_simple_pass_thru = [](SimpleStruct s) { return s; };

m.def("f_simple_pass_thru_vectorized", py::vectorize(f_simple_pass_thru));

// test_register_dtype

m.def("register_dtype",

[]() { PYBIND11_NUMPY_DTYPE(SimpleStruct, bool_, uint_, float_, ldbl_); });

// test_str_leak

m.def("dtype_wrapper", [](const py::object &d) { return py::dtype::from_args(d); });

}

d-mercator/python/pybind11/tests/test_numpy_dtypes.cpp at main · networkgeometry/d-mercator · GitHub

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