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redesigned format_descriptor<> and npy_format_descriptor<>
This somewhat heavyweight solution will avoid size_t/long long/long/int mismatches on various platforms once and for all. The previous template overloads could e.g. not handle size_t on Darwin. One gotcha: the 'format_descriptor<T>::value()' syntax changed to just 'format_descriptor<T>::value'
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@ -825,12 +825,12 @@ completely avoid copy operations with Python expressions like
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py::class_<Matrix>(m, "Matrix")
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.def_buffer([](Matrix &m) -> py::buffer_info {
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return py::buffer_info(
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m.data(), /* Pointer to buffer */
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sizeof(float), /* Size of one scalar */
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py::format_descriptor<float>::value(), /* Python struct-style format descriptor */
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2, /* Number of dimensions */
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{ m.rows(), m.cols() }, /* Buffer dimensions */
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{ sizeof(float) * m.rows(), /* Strides (in bytes) for each index */
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m.data(), /* Pointer to buffer */
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sizeof(float), /* Size of one scalar */
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py::format_descriptor<float>::value, /* Python struct-style format descriptor */
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2, /* Number of dimensions */
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{ m.rows(), m.cols() }, /* Buffer dimensions */
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{ sizeof(float) * m.rows(), /* Strides (in bytes) for each index */
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sizeof(float) }
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);
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});
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@ -867,7 +867,7 @@ objects (e.g. a NumPy matrix).
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py::buffer_info info = b.request();
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/* Some sanity checks ... */
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if (info.format != py::format_descriptor<double>::value())
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if (info.format != py::format_descriptor<double>::value)
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throw std::runtime_error("Incompatible format: expected a double array!");
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if (info.ndim != 2)
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@ -994,7 +994,7 @@ simply using ``vectorize``).
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auto result = py::array(py::buffer_info(
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nullptr, /* Pointer to data (nullptr -> ask NumPy to allocate!) */
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sizeof(double), /* Size of one item */
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py::format_descriptor<double>::value(), /* Buffer format */
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py::format_descriptor<double>::value, /* Buffer format */
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buf1.ndim, /* How many dimensions? */
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{ buf1.shape[0] }, /* Number of elements for each dimension */
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{ sizeof(double) } /* Strides for each dimension */
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@ -80,7 +80,7 @@ void init_ex7(py::module &m) {
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/// Construct from a buffer
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.def("__init__", [](Matrix &v, py::buffer b) {
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py::buffer_info info = b.request();
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if (info.format != py::format_descriptor<float>::value() || info.ndim != 2)
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if (info.format != py::format_descriptor<float>::value || info.ndim != 2)
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throw std::runtime_error("Incompatible buffer format!");
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new (&v) Matrix(info.shape[0], info.shape[1]);
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memcpy(v.data(), info.ptr, sizeof(float) * v.rows() * v.cols());
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@ -103,12 +103,12 @@ void init_ex7(py::module &m) {
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/// Provide buffer access
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.def_buffer([](Matrix &m) -> py::buffer_info {
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return py::buffer_info(
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m.data(), /* Pointer to buffer */
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sizeof(float), /* Size of one scalar */
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py::format_descriptor<float>::value(), /* Python struct-style format descriptor */
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2, /* Number of dimensions */
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{ m.rows(), m.cols() }, /* Buffer dimensions */
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{ sizeof(float) * m.rows(), /* Strides (in bytes) for each index */
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m.data(), /* Pointer to buffer */
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sizeof(float), /* Size of one scalar */
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py::format_descriptor<float>::value, /* Python struct-style format descriptor */
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2, /* Number of dimensions */
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{ m.rows(), m.cols() }, /* Buffer dimensions */
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{ sizeof(float) * m.rows(), /* Strides (in bytes) for each index */
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sizeof(float) }
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);
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});
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@ -191,13 +191,6 @@ enum class return_value_policy : int {
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reference_internal
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};
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/// Format strings for basic number types
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template <typename type> struct format_descriptor { };
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#define PYBIND11_DECL_FMT(t, n) template<> struct format_descriptor<t> { static std::string value() { return n; }; }
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PYBIND11_DECL_FMT(int8_t, "b"); PYBIND11_DECL_FMT(uint8_t, "B"); PYBIND11_DECL_FMT(int16_t, "h"); PYBIND11_DECL_FMT(uint16_t, "H");
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PYBIND11_DECL_FMT(int32_t, "i"); PYBIND11_DECL_FMT(uint32_t, "I"); PYBIND11_DECL_FMT(int64_t, "q"); PYBIND11_DECL_FMT(uint64_t, "Q");
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PYBIND11_DECL_FMT(float, "f"); PYBIND11_DECL_FMT(double, "d"); PYBIND11_DECL_FMT(bool, "?");
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/// Information record describing a Python buffer object
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struct buffer_info {
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void *ptr; // Pointer to the underlying storage
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@ -234,6 +227,8 @@ private:
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NAMESPACE_BEGIN(detail)
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static constexpr int log2(size_t n, int k = 0) { return (n <= 1) ? k : log2(n >> 1, k + 1); }
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inline std::string error_string();
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/// Core part of the 'instance' type which POD (needed to be able to use 'offsetof')
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@ -296,13 +291,6 @@ template <typename T, size_t N> struct intrinsic_type<T[N]> { typedef type
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/// Helper type to replace 'void' in some expressions
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struct void_type { };
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/// to_string variant which also accepts strings
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template <typename T> inline typename std::enable_if<!std::is_enum<T>::value, std::string>::type
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to_string(const T &value) { return std::to_string(value); }
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template <> inline std::string to_string(const std::string &value) { return value; }
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template <typename T> inline typename std::enable_if<std::is_enum<T>::value, std::string>::type
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to_string(T value) { return std::to_string((int) value); }
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NAMESPACE_END(detail)
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#define PYBIND11_RUNTIME_EXCEPTION(name) \
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@ -321,4 +309,15 @@ PYBIND11_RUNTIME_EXCEPTION(cast_error) /// Thrown when pybind11::cast or handle:
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[[noreturn]] PYBIND11_NOINLINE inline void pybind11_fail(const char *reason) { throw std::runtime_error(reason); }
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[[noreturn]] PYBIND11_NOINLINE inline void pybind11_fail(const std::string &reason) { throw std::runtime_error(reason); }
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/// Format strings for basic number types
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#define PYBIND11_DECL_FMT(t, v) template<> struct format_descriptor<t> { static constexpr const char *value = v; }
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template <typename T, typename SFINAE = void> struct format_descriptor { };
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template <typename T> struct format_descriptor<T, typename std::enable_if<std::is_integral<T>::value>::type> {
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static constexpr const char value[2] =
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{ "bBhHiIqQ"[detail::log2(sizeof(T))*2 + (std::is_unsigned<T>::value ? 1 : 0)], '\0' };
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};
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template <typename T> constexpr const char format_descriptor<
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T, typename std::enable_if<std::is_integral<T>::value>::type>::value[2];
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PYBIND11_DECL_FMT(float, "f"); PYBIND11_DECL_FMT(double, "d"); PYBIND11_DECL_FMT(bool, "?");
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NAMESPACE_END(pybind11)
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@ -21,7 +21,7 @@
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NAMESPACE_BEGIN(pybind11)
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template <typename type> struct npy_format_descriptor { };
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template <typename type, typename SFINAE = void> struct npy_format_descriptor { };
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class array : public buffer {
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public:
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@ -138,12 +138,20 @@ public:
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}
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};
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template <typename T> struct npy_format_descriptor<T, typename std::enable_if<std::is_integral<T>::value>::type> {
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private:
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constexpr static const int values[] = {
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array::API::NPY_BYTE_, array::API::NPY_UBYTE_, array::API::NPY_SHORT_, array::API::NPY_USHORT_,
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array::API::NPY_INT_, array::API::NPY_UINT_, array::API::NPY_LONGLONG_, array::API::NPY_ULONGLONG_ };
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public:
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enum { value = values[detail::log2(sizeof(T)) * 2 + (std::is_unsigned<T>::value ? 1 : 0)] };
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};
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template <typename T> constexpr const int npy_format_descriptor<
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T, typename std::enable_if<std::is_integral<T>::value>::type>::values[8];
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#define DECL_FMT(t, n) template<> struct npy_format_descriptor<t> { enum { value = array::API::n }; }
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DECL_FMT(int8_t, NPY_BYTE_); DECL_FMT(uint8_t, NPY_UBYTE_); DECL_FMT(int16_t, NPY_SHORT_);
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DECL_FMT(uint16_t, NPY_USHORT_); DECL_FMT(int32_t, NPY_INT_); DECL_FMT(uint32_t, NPY_UINT_);
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DECL_FMT(int64_t, NPY_LONGLONG_); DECL_FMT(uint64_t, NPY_ULONGLONG_); DECL_FMT(float, NPY_FLOAT_);
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DECL_FMT(double, NPY_DOUBLE_); DECL_FMT(bool, NPY_BOOL_); DECL_FMT(std::complex<float>, NPY_CFLOAT_);
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DECL_FMT(std::complex<double>, NPY_CDOUBLE_);
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DECL_FMT(float, NPY_FLOAT_); DECL_FMT(double, NPY_DOUBLE_); DECL_FMT(bool, NPY_BOOL_);
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DECL_FMT(std::complex<float>, NPY_CFLOAT_); DECL_FMT(std::complex<double>, NPY_CDOUBLE_);
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#undef DECL_FMT
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NAMESPACE_BEGIN(detail)
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@ -328,7 +336,7 @@ struct vectorize_helper {
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return cast(f(*((Args *) buffers[Index].ptr)...));
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array result(buffer_info(nullptr, sizeof(Return),
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format_descriptor<Return>::value(),
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format_descriptor<Return>::value,
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ndim, shape, strides));
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buffer_info buf = result.request();
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