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Make changes to format_descriptor backwards-compat

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The format strings that are known at compile time are now accessible
via both ::value and ::format(), and format strings for everything
else is accessible via ::format(). This makes it backwards compatible.
This commit is contained in:
Ivan Smirnov 2016-06-26 12:42:34 +01:00
parent 4f164217e4
commit 5e71e17bdf
6 changed files with 38 additions and 38 deletions
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9
docs/advanced.rst
View File

@ -1226,7 +1226,7 @@ completely avoid copy operations with Python expressions like
return py::buffer_info(
m.data(), /* Pointer to buffer */
sizeof(float), /* Size of one scalar */
py::format_descriptor<float>::value(), /* Python struct-style format descriptor */
py::format_descriptor<float>::format(), /* Python struct-style format descriptor */
2, /* Number of dimensions */
{ m.rows(), m.cols() }, /* Buffer dimensions */
{ sizeof(float) * m.rows(), /* Strides (in bytes) for each index */
@ -1273,7 +1273,7 @@ buffer objects (e.g. a NumPy matrix).
py::buffer_info info = b.request();
/* Some sanity checks ... */
if (info.format != py::format_descriptor<Scalar>::value())
if (info.format != py::format_descriptor<Scalar>::format())
throw std::runtime_error("Incompatible format: expected a double array!");
if (info.ndim != 2)
@ -1299,7 +1299,7 @@ as follows:
m.data(), /* Pointer to buffer */
sizeof(Scalar), /* Size of one scalar */
/* Python struct-style format descriptor */
py::format_descriptor<Scalar>::value(),
py::format_descriptor<Scalar>::format(),
/* Number of dimensions */
2,
/* Buffer dimensions */
@ -1439,7 +1439,7 @@ simply using ``vectorize``).
auto result = py::array(py::buffer_info(
nullptr, /* Pointer to data (nullptr -> ask NumPy to allocate!) */
sizeof(double), /* Size of one item */
py::format_descriptor<double>::value, /* Buffer format */
py::format_descriptor<double>::format(), /* Buffer format */
buf1.ndim, /* How many dimensions? */
{ buf1.shape[0] }, /* Number of elements for each dimension */
{ sizeof(double) } /* Strides for each dimension */
@ -1830,4 +1830,3 @@ is always ``none``).
// Evaluate the statements in an separate Python file on disk
py::eval_file("script.py", scope);

4
example/example-buffers.cpp
View File

@ -81,7 +81,7 @@ void init_ex_buffers(py::module &m) {
/// Construct from a buffer
.def("__init__", [](Matrix &v, py::buffer b) {
py::buffer_info info = b.request();
if (info.format != py::format_descriptor<float>::value() || info.ndim != 2)
if (info.format != py::format_descriptor<float>::format() || info.ndim != 2)
throw std::runtime_error("Incompatible buffer format!");
new (&v) Matrix(info.shape[0], info.shape[1]);
memcpy(v.data(), info.ptr, sizeof(float) * v.rows() * v.cols());
@ -106,7 +106,7 @@ void init_ex_buffers(py::module &m) {
return py::buffer_info(
m.data(), /* Pointer to buffer */
sizeof(float), /* Size of one scalar */
py::format_descriptor<float>::value(), /* Python struct-style format descriptor */
py::format_descriptor<float>::format(), /* Python struct-style format descriptor */
2, /* Number of dimensions */
{ m.rows(), m.cols() }, /* Buffer dimensions */
{ sizeof(float) * m.rows(), /* Strides (in bytes) for each index */

8
example/example20.cpp
View File

@ -47,7 +47,7 @@ std::ostream& operator<<(std::ostream& os, const NestedStruct& v) {
template <typename T>
py::array mkarray_via_buffer(size_t n) {
return py::array(py::buffer_info(nullptr, sizeof(T),
py::format_descriptor<T>::value(),
py::format_descriptor<T>::format(),
1, { n }, { sizeof(T) }));
}
@ -80,9 +80,9 @@ void print_recarray(py::array_t<S> arr) {
}
void print_format_descriptors() {
std::cout << py::format_descriptor<SimpleStruct>::value() << std::endl;
std::cout << py::format_descriptor<PackedStruct>::value() << std::endl;
std::cout << py::format_descriptor<NestedStruct>::value() << std::endl;
std::cout << py::format_descriptor<SimpleStruct>::format() << std::endl;
std::cout << py::format_descriptor<PackedStruct>::format() << std::endl;
std::cout << py::format_descriptor<NestedStruct>::format() << std::endl;
}
void print_dtypes() {

11
include/pybind11/common.h
View File

@ -204,7 +204,7 @@ struct buffer_info {
void *ptr; // Pointer to the underlying storage
size_t itemsize; // Size of individual items in bytes
size_t size; // Total number of entries
std::string format; // For homogeneous buffers, this should be set to format_descriptor<T>::value()
std::string format; // For homogeneous buffers, this should be set to format_descriptor<T>::format()
size_t ndim; // Number of dimensions
std::vector<size_t> shape; // Shape of the tensor (1 entry per dimension)
std::vector<size_t> strides; // Number of entries between adjacent entries (for each per dimension)
@ -349,18 +349,19 @@ PYBIND11_RUNTIME_EXCEPTION(reference_cast_error) /// Used internally
/// Format strings for basic number types
#define PYBIND11_DECL_FMT(t, v) template<> struct format_descriptor<t> \
{ static constexpr const char* value() { return v; } };
{ static constexpr const char* value = v; /* for backwards compatibility */ \
static constexpr const char* format() { return value; } }
template <typename T, typename SFINAE = void> struct format_descriptor { };
template <typename T> struct format_descriptor<T, typename std::enable_if<std::is_integral<T>::value>::type> {
static constexpr const char* value() { return format; }
static constexpr const char format[2] =
static constexpr const char value[2] =
{ "bBhHiIqQ"[detail::log2(sizeof(T))*2 + (std::is_unsigned<T>::value ? 1 : 0)], '\0' };
static constexpr const char* format() { return value; }
};
template <typename T> constexpr const char format_descriptor<
T, typename std::enable_if<std::is_integral<T>::value>::type>::format[2];
T, typename std::enable_if<std::is_integral<T>::value>::type>::value[2];
PYBIND11_DECL_FMT(float, "f");
PYBIND11_DECL_FMT(double, "d");

10
include/pybind11/eigen.h
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@ -133,7 +133,7 @@ struct type_caster<Type, typename std::enable_if<is_eigen_dense<Type>::value &&
/* Size of one scalar */
sizeof(Scalar),
/* Python struct-style format descriptor */
format_descriptor<Scalar>::value(),
format_descriptor<Scalar>::format(),
/* Number of dimensions */
1,
/* Buffer dimensions */
@ -148,7 +148,7 @@ struct type_caster<Type, typename std::enable_if<is_eigen_dense<Type>::value &&
/* Size of one scalar */
sizeof(Scalar),
/* Python struct-style format descriptor */
format_descriptor<Scalar>::value(),
format_descriptor<Scalar>::format(),
/* Number of dimensions */
isVector ? 1 : 2,
/* Buffer dimensions */
@ -276,7 +276,7 @@ struct type_caster<Type, typename std::enable_if<is_eigen_sparse<Type>::value>::
// Size of one scalar
sizeof(Scalar),
// Python struct-style format descriptor
format_descriptor<Scalar>::value(),
format_descriptor<Scalar>::format(),
// Number of dimensions
1,
// Buffer dimensions
@ -291,7 +291,7 @@ struct type_caster<Type, typename std::enable_if<is_eigen_sparse<Type>::value>::
// Size of one scalar
sizeof(StorageIndex),
// Python struct-style format descriptor
format_descriptor<StorageIndex>::value(),
format_descriptor<StorageIndex>::format(),
// Number of dimensions
1,
// Buffer dimensions
@ -306,7 +306,7 @@ struct type_caster<Type, typename std::enable_if<is_eigen_sparse<Type>::value>::
// Size of one scalar
sizeof(StorageIndex),
// Python struct-style format descriptor
format_descriptor<StorageIndex>::value(),
format_descriptor<StorageIndex>::format(),
// Number of dimensions
1,
// Buffer dimensions

14
include/pybind11/numpy.h
View File

@ -164,8 +164,8 @@ template <typename T> struct format_descriptor
!std::is_same<T, std::complex<float>>::value &&
!std::is_same<T, std::complex<double>>::value>::type>
{
static const char *value() {
return detail::npy_format_descriptor<T>::format_str();
static const char *format() {
return detail::npy_format_descriptor<T>::format();
}
};
@ -231,8 +231,8 @@ template <typename T> struct npy_format_descriptor
return object(descr_(), true);
}
static const char* format_str() {
return format_str_();
static const char* format() {
return format_();
}
static void register_dtype(std::initializer_list<field_descriptor> fields) {
@ -256,7 +256,7 @@ template <typename T> struct npy_format_descriptor
if (auto arr = (object) empty(int_(0), object(descr(), true)))
if (auto view = PyMemoryView_FromObject(arr.ptr()))
if (auto info = PyMemoryView_GET_BUFFER(view)) {
std::strncpy(format_str_(), info->format, 4096);
std::strncpy(format_(), info->format, 4096);
return;
}
pybind11_fail("NumPy: failed to extract buffer format");
@ -264,7 +264,7 @@ template <typename T> struct npy_format_descriptor
private:
static inline PyObject*& descr_() { static PyObject *ptr = nullptr; return ptr; }
static inline char* format_str_() { static char s[4096]; return s; }
static inline char* format_() { static char s[4096]; return s; }
};
#define FIELD_DESCRIPTOR(Type, Field) \
@ -480,7 +480,7 @@ struct vectorize_helper {
return cast(f(*((Args *) buffers[Index].ptr)...));
array result(buffer_info(nullptr, sizeof(Return),
format_descriptor<Return>::value(),
format_descriptor<Return>::format(),
ndim, shape, strides));
buffer_info buf = result.request();