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/* | |
tests/test_numpy_array.cpp -- test core array functionality | |
Copyright (c) 2016 Ivan Smirnov <[email protected]> | |
All rights reserved. Use of this source code is governed by a | |
BSD-style license that can be found in the LICENSE file. | |
*/ | |
// Size / dtype checks. | |
struct DtypeCheck { | |
py::dtype numpy{}; | |
py::dtype pybind11{}; | |
}; | |
template <typename T> | |
DtypeCheck get_dtype_check(const char* name) { | |
py::module np = py::module::import("numpy"); | |
DtypeCheck check{}; | |
check.numpy = np.attr("dtype")(np.attr(name)); | |
check.pybind11 = py::dtype::of<T>(); | |
return check; | |
} | |
std::vector<DtypeCheck> get_concrete_dtype_checks() { | |
return { | |
// Normalization | |
get_dtype_check<std::int8_t>("int8"), | |
get_dtype_check<std::uint8_t>("uint8"), | |
get_dtype_check<std::int16_t>("int16"), | |
get_dtype_check<std::uint16_t>("uint16"), | |
get_dtype_check<std::int32_t>("int32"), | |
get_dtype_check<std::uint32_t>("uint32"), | |
get_dtype_check<std::int64_t>("int64"), | |
get_dtype_check<std::uint64_t>("uint64") | |
}; | |
} | |
struct DtypeSizeCheck { | |
std::string name{}; | |
int size_cpp{}; | |
int size_numpy{}; | |
// For debugging. | |
py::dtype dtype{}; | |
}; | |
template <typename T> | |
DtypeSizeCheck get_dtype_size_check() { | |
DtypeSizeCheck check{}; | |
check.name = py::type_id<T>(); | |
check.size_cpp = sizeof(T); | |
check.dtype = py::dtype::of<T>(); | |
check.size_numpy = check.dtype.attr("itemsize").template cast<int>(); | |
return check; | |
} | |
std::vector<DtypeSizeCheck> get_platform_dtype_size_checks() { | |
return { | |
get_dtype_size_check<short>(), | |
get_dtype_size_check<unsigned short>(), | |
get_dtype_size_check<int>(), | |
get_dtype_size_check<unsigned int>(), | |
get_dtype_size_check<long>(), | |
get_dtype_size_check<unsigned long>(), | |
get_dtype_size_check<long long>(), | |
get_dtype_size_check<unsigned long long>(), | |
}; | |
} | |
// Arrays. | |
using arr = py::array; | |
using arr_t = py::array_t<uint16_t, 0>; | |
static_assert(std::is_same<arr_t::value_type, uint16_t>::value, ""); | |
template<typename... Ix> arr data(const arr& a, Ix... index) { | |
return arr(a.nbytes() - a.offset_at(index...), (const uint8_t *) a.data(index...)); | |
} | |
template<typename... Ix> arr data_t(const arr_t& a, Ix... index) { | |
return arr(a.size() - a.index_at(index...), a.data(index...)); | |
} | |
template<typename... Ix> arr& mutate_data(arr& a, Ix... index) { | |
auto ptr = (uint8_t *) a.mutable_data(index...); | |
for (ssize_t i = 0; i < a.nbytes() - a.offset_at(index...); i++) | |
ptr[i] = (uint8_t) (ptr[i] * 2); | |
return a; | |
} | |
template<typename... Ix> arr_t& mutate_data_t(arr_t& a, Ix... index) { | |
auto ptr = a.mutable_data(index...); | |
for (ssize_t i = 0; i < a.size() - a.index_at(index...); i++) | |
ptr[i]++; | |
return a; | |
} | |
template<typename... Ix> ssize_t index_at(const arr& a, Ix... idx) { return a.index_at(idx...); } | |
template<typename... Ix> ssize_t index_at_t(const arr_t& a, Ix... idx) { return a.index_at(idx...); } | |
template<typename... Ix> ssize_t offset_at(const arr& a, Ix... idx) { return a.offset_at(idx...); } | |
template<typename... Ix> ssize_t offset_at_t(const arr_t& a, Ix... idx) { return a.offset_at(idx...); } | |
template<typename... Ix> ssize_t at_t(const arr_t& a, Ix... idx) { return a.at(idx...); } | |
template<typename... Ix> arr_t& mutate_at_t(arr_t& a, Ix... idx) { a.mutable_at(idx...)++; return a; } | |
template <typename T, typename T2> py::handle auxiliaries(T &&r, T2 &&r2) { | |
if (r.ndim() != 2) throw std::domain_error("error: ndim != 2"); | |
py::list l; | |
l.append(*r.data(0, 0)); | |
l.append(*r2.mutable_data(0, 0)); | |
l.append(r.data(0, 1) == r2.mutable_data(0, 1)); | |
l.append(r.ndim()); | |
l.append(r.itemsize()); | |
l.append(r.shape(0)); | |
l.append(r.shape(1)); | |
l.append(r.size()); | |
l.append(r.nbytes()); | |
return l.release(); | |
} | |
// note: declaration at local scope would create a dangling reference! | |
static int data_i = 42; | |
TEST_SUBMODULE(numpy_array, sm) { | |
try { py::module::import("numpy"); } | |
catch (...) { return; } | |
// test_dtypes | |
py::class_<DtypeCheck>(sm, "DtypeCheck") | |
.def_readonly("numpy", &DtypeCheck::numpy) | |
.def_readonly("pybind11", &DtypeCheck::pybind11) | |
.def("__repr__", [](const DtypeCheck& self) { | |
return py::str("<DtypeCheck numpy={} pybind11={}>").format( | |
self.numpy, self.pybind11); | |
}); | |
sm.def("get_concrete_dtype_checks", &get_concrete_dtype_checks); | |
py::class_<DtypeSizeCheck>(sm, "DtypeSizeCheck") | |
.def_readonly("name", &DtypeSizeCheck::name) | |
.def_readonly("size_cpp", &DtypeSizeCheck::size_cpp) | |
.def_readonly("size_numpy", &DtypeSizeCheck::size_numpy) | |
.def("__repr__", [](const DtypeSizeCheck& self) { | |
return py::str("<DtypeSizeCheck name='{}' size_cpp={} size_numpy={} dtype={}>").format( | |
self.name, self.size_cpp, self.size_numpy, self.dtype); | |
}); | |
sm.def("get_platform_dtype_size_checks", &get_platform_dtype_size_checks); | |
// test_array_attributes | |
sm.def("ndim", [](const arr& a) { return a.ndim(); }); | |
sm.def("shape", [](const arr& a) { return arr(a.ndim(), a.shape()); }); | |
sm.def("shape", [](const arr& a, ssize_t dim) { return a.shape(dim); }); | |
sm.def("strides", [](const arr& a) { return arr(a.ndim(), a.strides()); }); | |
sm.def("strides", [](const arr& a, ssize_t dim) { return a.strides(dim); }); | |
sm.def("writeable", [](const arr& a) { return a.writeable(); }); | |
sm.def("size", [](const arr& a) { return a.size(); }); | |
sm.def("itemsize", [](const arr& a) { return a.itemsize(); }); | |
sm.def("nbytes", [](const arr& a) { return a.nbytes(); }); | |
sm.def("owndata", [](const arr& a) { return a.owndata(); }); | |
// test_index_offset | |
def_index_fn(index_at, const arr&); | |
def_index_fn(index_at_t, const arr_t&); | |
def_index_fn(offset_at, const arr&); | |
def_index_fn(offset_at_t, const arr_t&); | |
// test_data | |
def_index_fn(data, const arr&); | |
def_index_fn(data_t, const arr_t&); | |
// test_mutate_data, test_mutate_readonly | |
def_index_fn(mutate_data, arr&); | |
def_index_fn(mutate_data_t, arr_t&); | |
def_index_fn(at_t, const arr_t&); | |
def_index_fn(mutate_at_t, arr_t&); | |
// test_make_c_f_array | |
sm.def("make_f_array", [] { return py::array_t<float>({ 2, 2 }, { 4, 8 }); }); | |
sm.def("make_c_array", [] { return py::array_t<float>({ 2, 2 }, { 8, 4 }); }); | |
// test_empty_shaped_array | |
sm.def("make_empty_shaped_array", [] { return py::array(py::dtype("f"), {}, {}); }); | |
// test numpy scalars (empty shape, ndim==0) | |
sm.def("scalar_int", []() { return py::array(py::dtype("i"), {}, {}, &data_i); }); | |
// test_wrap | |
sm.def("wrap", [](py::array a) { | |
return py::array( | |
a.dtype(), | |
{a.shape(), a.shape() + a.ndim()}, | |
{a.strides(), a.strides() + a.ndim()}, | |
a.data(), | |
a | |
); | |
}); | |
// test_numpy_view | |
struct ArrayClass { | |
int data[2] = { 1, 2 }; | |
ArrayClass() { py::print("ArrayClass()"); } | |
~ArrayClass() { py::print("~ArrayClass()"); } | |
}; | |
py::class_<ArrayClass>(sm, "ArrayClass") | |
.def(py::init<>()) | |
.def("numpy_view", [](py::object &obj) { | |
py::print("ArrayClass::numpy_view()"); | |
ArrayClass &a = obj.cast<ArrayClass&>(); | |
return py::array_t<int>({2}, {4}, a.data, obj); | |
} | |
); | |
// test_cast_numpy_int64_to_uint64 | |
sm.def("function_taking_uint64", [](uint64_t) { }); | |
// test_isinstance | |
sm.def("isinstance_untyped", [](py::object yes, py::object no) { | |
return py::isinstance<py::array>(yes) && !py::isinstance<py::array>(no); | |
}); | |
sm.def("isinstance_typed", [](py::object o) { | |
return py::isinstance<py::array_t<double>>(o) && !py::isinstance<py::array_t<int>>(o); | |
}); | |
// test_constructors | |
sm.def("default_constructors", []() { | |
return py::dict( | |
"array"_a=py::array(), | |
"array_t<int32>"_a=py::array_t<std::int32_t>(), | |
"array_t<double>"_a=py::array_t<double>() | |
); | |
}); | |
sm.def("converting_constructors", [](py::object o) { | |
return py::dict( | |
"array"_a=py::array(o), | |
"array_t<int32>"_a=py::array_t<std::int32_t>(o), | |
"array_t<double>"_a=py::array_t<double>(o) | |
); | |
}); | |
// test_overload_resolution | |
sm.def("overloaded", [](py::array_t<double>) { return "double"; }); | |
sm.def("overloaded", [](py::array_t<float>) { return "float"; }); | |
sm.def("overloaded", [](py::array_t<int>) { return "int"; }); | |
sm.def("overloaded", [](py::array_t<unsigned short>) { return "unsigned short"; }); | |
sm.def("overloaded", [](py::array_t<long long>) { return "long long"; }); | |
sm.def("overloaded", [](py::array_t<std::complex<double>>) { return "double complex"; }); | |
sm.def("overloaded", [](py::array_t<std::complex<float>>) { return "float complex"; }); | |
sm.def("overloaded2", [](py::array_t<std::complex<double>>) { return "double complex"; }); | |
sm.def("overloaded2", [](py::array_t<double>) { return "double"; }); | |
sm.def("overloaded2", [](py::array_t<std::complex<float>>) { return "float complex"; }); | |
sm.def("overloaded2", [](py::array_t<float>) { return "float"; }); | |
// Only accept the exact types: | |
sm.def("overloaded3", [](py::array_t<int>) { return "int"; }, py::arg().noconvert()); | |
sm.def("overloaded3", [](py::array_t<double>) { return "double"; }, py::arg().noconvert()); | |
// Make sure we don't do unsafe coercion (e.g. float to int) when not using forcecast, but | |
// rather that float gets converted via the safe (conversion to double) overload: | |
sm.def("overloaded4", [](py::array_t<long long, 0>) { return "long long"; }); | |
sm.def("overloaded4", [](py::array_t<double, 0>) { return "double"; }); | |
// But we do allow conversion to int if forcecast is enabled (but only if no overload matches | |
// without conversion) | |
sm.def("overloaded5", [](py::array_t<unsigned int>) { return "unsigned int"; }); | |
sm.def("overloaded5", [](py::array_t<double>) { return "double"; }); | |
// test_greedy_string_overload | |
// Issue 685: ndarray shouldn't go to std::string overload | |
sm.def("issue685", [](std::string) { return "string"; }); | |
sm.def("issue685", [](py::array) { return "array"; }); | |
sm.def("issue685", [](py::object) { return "other"; }); | |
// test_array_unchecked_fixed_dims | |
sm.def("proxy_add2", [](py::array_t<double> a, double v) { | |
auto r = a.mutable_unchecked<2>(); | |
for (ssize_t i = 0; i < r.shape(0); i++) | |
for (ssize_t j = 0; j < r.shape(1); j++) | |
r(i, j) += v; | |
}, py::arg().noconvert(), py::arg()); | |
sm.def("proxy_init3", [](double start) { | |
py::array_t<double, py::array::c_style> a({ 3, 3, 3 }); | |
auto r = a.mutable_unchecked<3>(); | |
for (ssize_t i = 0; i < r.shape(0); i++) | |
for (ssize_t j = 0; j < r.shape(1); j++) | |
for (ssize_t k = 0; k < r.shape(2); k++) | |
r(i, j, k) = start++; | |
return a; | |
}); | |
sm.def("proxy_init3F", [](double start) { | |
py::array_t<double, py::array::f_style> a({ 3, 3, 3 }); | |
auto r = a.mutable_unchecked<3>(); | |
for (ssize_t k = 0; k < r.shape(2); k++) | |
for (ssize_t j = 0; j < r.shape(1); j++) | |
for (ssize_t i = 0; i < r.shape(0); i++) | |
r(i, j, k) = start++; | |
return a; | |
}); | |
sm.def("proxy_squared_L2_norm", [](py::array_t<double> a) { | |
auto r = a.unchecked<1>(); | |
double sumsq = 0; | |
for (ssize_t i = 0; i < r.shape(0); i++) | |
sumsq += r[i] * r(i); // Either notation works for a 1D array | |
return sumsq; | |
}); | |
sm.def("proxy_auxiliaries2", [](py::array_t<double> a) { | |
auto r = a.unchecked<2>(); | |
auto r2 = a.mutable_unchecked<2>(); | |
return auxiliaries(r, r2); | |
}); | |
// test_array_unchecked_dyn_dims | |
// Same as the above, but without a compile-time dimensions specification: | |
sm.def("proxy_add2_dyn", [](py::array_t<double> a, double v) { | |
auto r = a.mutable_unchecked(); | |
if (r.ndim() != 2) throw std::domain_error("error: ndim != 2"); | |
for (ssize_t i = 0; i < r.shape(0); i++) | |
for (ssize_t j = 0; j < r.shape(1); j++) | |
r(i, j) += v; | |
}, py::arg().noconvert(), py::arg()); | |
sm.def("proxy_init3_dyn", [](double start) { | |
py::array_t<double, py::array::c_style> a({ 3, 3, 3 }); | |
auto r = a.mutable_unchecked(); | |
if (r.ndim() != 3) throw std::domain_error("error: ndim != 3"); | |
for (ssize_t i = 0; i < r.shape(0); i++) | |
for (ssize_t j = 0; j < r.shape(1); j++) | |
for (ssize_t k = 0; k < r.shape(2); k++) | |
r(i, j, k) = start++; | |
return a; | |
}); | |
sm.def("proxy_auxiliaries2_dyn", [](py::array_t<double> a) { | |
return auxiliaries(a.unchecked(), a.mutable_unchecked()); | |
}); | |
sm.def("array_auxiliaries2", [](py::array_t<double> a) { | |
return auxiliaries(a, a); | |
}); | |
// test_array_failures | |
// Issue #785: Uninformative "Unknown internal error" exception when constructing array from empty object: | |
sm.def("array_fail_test", []() { return py::array(py::object()); }); | |
sm.def("array_t_fail_test", []() { return py::array_t<double>(py::object()); }); | |
// Make sure the error from numpy is being passed through: | |
sm.def("array_fail_test_negative_size", []() { int c = 0; return py::array(-1, &c); }); | |
// test_initializer_list | |
// Issue (unnumbered; reported in #788): regression: initializer lists can be ambiguous | |
sm.def("array_initializer_list1", []() { return py::array_t<float>(1); }); // { 1 } also works, but clang warns about it | |
sm.def("array_initializer_list2", []() { return py::array_t<float>({ 1, 2 }); }); | |
sm.def("array_initializer_list3", []() { return py::array_t<float>({ 1, 2, 3 }); }); | |
sm.def("array_initializer_list4", []() { return py::array_t<float>({ 1, 2, 3, 4 }); }); | |
// test_array_resize | |
// reshape array to 2D without changing size | |
sm.def("array_reshape2", [](py::array_t<double> a) { | |
const ssize_t dim_sz = (ssize_t)std::sqrt(a.size()); | |
if (dim_sz * dim_sz != a.size()) | |
throw std::domain_error("array_reshape2: input array total size is not a squared integer"); | |
a.resize({dim_sz, dim_sz}); | |
}); | |
// resize to 3D array with each dimension = N | |
sm.def("array_resize3", [](py::array_t<double> a, size_t N, bool refcheck) { | |
a.resize({N, N, N}, refcheck); | |
}); | |
// test_array_create_and_resize | |
// return 2D array with Nrows = Ncols = N | |
sm.def("create_and_resize", [](size_t N) { | |
py::array_t<double> a; | |
a.resize({N, N}); | |
std::fill(a.mutable_data(), a.mutable_data() + a.size(), 42.); | |
return a; | |
}); | |
sm.def("index_using_ellipsis", [](py::array a) { | |
return a[py::make_tuple(0, py::ellipsis(), 0)]; | |
}); | |
} | |