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Commit b0171a71 authored by dyning's avatar dyning
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replace python lanms with c++ version, fix infer_det bug, fix test_image_shape bug

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ppocr/postprocess/lanms/include/pybind11/eigen.h 0 → 100644
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/*
pybind11/eigen.h: Transparent conversion for dense and sparse Eigen matrices
Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include "numpy.h"
#if defined(__INTEL_COMPILER)
# pragma warning(disable: 1682) // implicit conversion of a 64-bit integral type to a smaller integral type (potential portability problem)
#elif defined(__GNUG__) || defined(__clang__)
# pragma GCC diagnostic push
# pragma GCC diagnostic ignored "-Wconversion"
# pragma GCC diagnostic ignored "-Wdeprecated-declarations"
# if __GNUC__ >= 7
# pragma GCC diagnostic ignored "-Wint-in-bool-context"
# endif
#endif
#include <Eigen/Core>
#include <Eigen/SparseCore>
#if defined(_MSC_VER)
# pragma warning(push)
# pragma warning(disable: 4127) // warning C4127: Conditional expression is constant
#endif
// Eigen prior to 3.2.7 doesn't have proper move constructors--but worse, some classes get implicit
// move constructors that break things. We could detect this an explicitly copy, but an extra copy
// of matrices seems highly undesirable.
static_assert(EIGEN_VERSION_AT_LEAST(3,2,7), "Eigen support in pybind11 requires Eigen >= 3.2.7");
NAMESPACE_BEGIN(pybind11)
// Provide a convenience alias for easier pass-by-ref usage with fully dynamic strides:
using EigenDStride = Eigen::Stride<Eigen::Dynamic, Eigen::Dynamic>;
template <typename MatrixType> using EigenDRef = Eigen::Ref<MatrixType, 0, EigenDStride>;
template <typename MatrixType> using EigenDMap = Eigen::Map<MatrixType, 0, EigenDStride>;
NAMESPACE_BEGIN(detail)
#if EIGEN_VERSION_AT_LEAST(3,3,0)
using EigenIndex = Eigen::Index;
#else
using EigenIndex = EIGEN_DEFAULT_DENSE_INDEX_TYPE;
#endif
// Matches Eigen::Map, Eigen::Ref, blocks, etc:
template <typename T> using is_eigen_dense_map = all_of<is_template_base_of<Eigen::DenseBase, T>, std::is_base_of<Eigen::MapBase<T, Eigen::ReadOnlyAccessors>, T>>;
template <typename T> using is_eigen_mutable_map = std::is_base_of<Eigen::MapBase<T, Eigen::WriteAccessors>, T>;
template <typename T> using is_eigen_dense_plain = all_of<negation<is_eigen_dense_map<T>>, is_template_base_of<Eigen::PlainObjectBase, T>>;
template <typename T> using is_eigen_sparse = is_template_base_of<Eigen::SparseMatrixBase, T>;
// Test for objects inheriting from EigenBase<Derived> that aren't captured by the above. This
// basically covers anything that can be assigned to a dense matrix but that don't have a typical
// matrix data layout that can be copied from their .data(). For example, DiagonalMatrix and
// SelfAdjointView fall into this category.
template <typename T> using is_eigen_other = all_of<
is_template_base_of<Eigen::EigenBase, T>,
negation<any_of<is_eigen_dense_map<T>, is_eigen_dense_plain<T>, is_eigen_sparse<T>>>
>;
// Captures numpy/eigen conformability status (returned by EigenProps::conformable()):
template <bool EigenRowMajor> struct EigenConformable {
bool conformable = false;
EigenIndex rows = 0, cols = 0;
EigenDStride stride{0, 0}; // Only valid if negativestrides is false!
bool negativestrides = false; // If true, do not use stride!
EigenConformable(bool fits = false) : conformable{fits} {}
// Matrix type:
EigenConformable(EigenIndex r, EigenIndex c,
EigenIndex rstride, EigenIndex cstride) :
conformable{true}, rows{r}, cols{c} {
// TODO: when Eigen bug #747 is fixed, remove the tests for non-negativity. http://eigen.tuxfamily.org/bz/show_bug.cgi?id=747
if (rstride < 0 || cstride < 0) {
negativestrides = true;
} else {
stride = {EigenRowMajor ? rstride : cstride /* outer stride */,
EigenRowMajor ? cstride : rstride /* inner stride */ };
}
}
// Vector type:
EigenConformable(EigenIndex r, EigenIndex c, EigenIndex stride)
: EigenConformable(r, c, r == 1 ? c*stride : stride, c == 1 ? r : r*stride) {}
template <typename props> bool stride_compatible() const {
// To have compatible strides, we need (on both dimensions) one of fully dynamic strides,
// matching strides, or a dimension size of 1 (in which case the stride value is irrelevant)
return
!negativestrides &&
(props::inner_stride == Eigen::Dynamic || props::inner_stride == stride.inner() ||
(EigenRowMajor ? cols : rows) == 1) &&
(props::outer_stride == Eigen::Dynamic || props::outer_stride == stride.outer() ||
(EigenRowMajor ? rows : cols) == 1);
}
operator bool() const { return conformable; }
};
template <typename Type> struct eigen_extract_stride { using type = Type; };
template <typename PlainObjectType, int MapOptions, typename StrideType>
struct eigen_extract_stride<Eigen::Map<PlainObjectType, MapOptions, StrideType>> { using type = StrideType; };
template <typename PlainObjectType, int Options, typename StrideType>
struct eigen_extract_stride<Eigen::Ref<PlainObjectType, Options, StrideType>> { using type = StrideType; };
// Helper struct for extracting information from an Eigen type
template <typename Type_> struct EigenProps {
using Type = Type_;
using Scalar = typename Type::Scalar;
using StrideType = typename eigen_extract_stride<Type>::type;
static constexpr EigenIndex
rows = Type::RowsAtCompileTime,
cols = Type::ColsAtCompileTime,
size = Type::SizeAtCompileTime;
static constexpr bool
row_major = Type::IsRowMajor,
vector = Type::IsVectorAtCompileTime, // At least one dimension has fixed size 1
fixed_rows = rows != Eigen::Dynamic,
fixed_cols = cols != Eigen::Dynamic,
fixed = size != Eigen::Dynamic, // Fully-fixed size
dynamic = !fixed_rows && !fixed_cols; // Fully-dynamic size
template <EigenIndex i, EigenIndex ifzero> using if_zero = std::integral_constant<EigenIndex, i == 0 ? ifzero : i>;
static constexpr EigenIndex inner_stride = if_zero<StrideType::InnerStrideAtCompileTime, 1>::value,
outer_stride = if_zero<StrideType::OuterStrideAtCompileTime,
vector ? size : row_major ? cols : rows>::value;
static constexpr bool dynamic_stride = inner_stride == Eigen::Dynamic && outer_stride == Eigen::Dynamic;
static constexpr bool requires_row_major = !dynamic_stride && !vector && (row_major ? inner_stride : outer_stride) == 1;
static constexpr bool requires_col_major = !dynamic_stride && !vector && (row_major ? outer_stride : inner_stride) == 1;
// Takes an input array and determines whether we can make it fit into the Eigen type. If
// the array is a vector, we attempt to fit it into either an Eigen 1xN or Nx1 vector
// (preferring the latter if it will fit in either, i.e. for a fully dynamic matrix type).
static EigenConformable<row_major> conformable(const array &a) {
const auto dims = a.ndim();
if (dims < 1 || dims > 2)
return false;
if (dims == 2) { // Matrix type: require exact match (or dynamic)
EigenIndex
np_rows = a.shape(0),
np_cols = a.shape(1),
np_rstride = a.strides(0) / static_cast<ssize_t>(sizeof(Scalar)),
np_cstride = a.strides(1) / static_cast<ssize_t>(sizeof(Scalar));
if ((fixed_rows && np_rows != rows) || (fixed_cols && np_cols != cols))
return false;
return {np_rows, np_cols, np_rstride, np_cstride};
}
// Otherwise we're storing an n-vector. Only one of the strides will be used, but whichever
// is used, we want the (single) numpy stride value.
const EigenIndex n = a.shape(0),
stride = a.strides(0) / static_cast<ssize_t>(sizeof(Scalar));
if (vector) { // Eigen type is a compile-time vector
if (fixed && size != n)
return false; // Vector size mismatch
return {rows == 1 ? 1 : n, cols == 1 ? 1 : n, stride};
}
else if (fixed) {
// The type has a fixed size, but is not a vector: abort
return false;
}
else if (fixed_cols) {
// Since this isn't a vector, cols must be != 1. We allow this only if it exactly
// equals the number of elements (rows is Dynamic, and so 1 row is allowed).
if (cols != n) return false;
return {1, n, stride};
}
else {
// Otherwise it's either fully dynamic, or column dynamic; both become a column vector
if (fixed_rows && rows != n) return false;
return {n, 1, stride};
}
}
static PYBIND11_DESCR descriptor() {
constexpr bool show_writeable = is_eigen_dense_map<Type>::value && is_eigen_mutable_map<Type>::value;
constexpr bool show_order = is_eigen_dense_map<Type>::value;
constexpr bool show_c_contiguous = show_order && requires_row_major;
constexpr bool show_f_contiguous = !show_c_contiguous && show_order && requires_col_major;
return type_descr(_("numpy.ndarray[") + npy_format_descriptor<Scalar>::name() +
_("[") + _<fixed_rows>(_<(size_t) rows>(), _("m")) +
_(", ") + _<fixed_cols>(_<(size_t) cols>(), _("n")) +
_("]") +
// For a reference type (e.g. Ref<MatrixXd>) we have other constraints that might need to be
// satisfied: writeable=True (for a mutable reference), and, depending on the map's stride
// options, possibly f_contiguous or c_contiguous. We include them in the descriptor output
// to provide some hint as to why a TypeError is occurring (otherwise it can be confusing to
// see that a function accepts a 'numpy.ndarray[float64[3,2]]' and an error message that you
// *gave* a numpy.ndarray of the right type and dimensions.
_<show_writeable>(", flags.writeable", "") +
_<show_c_contiguous>(", flags.c_contiguous", "") +
_<show_f_contiguous>(", flags.f_contiguous", "") +
_("]")
);
}
};
// Casts an Eigen type to numpy array. If given a base, the numpy array references the src data,
// otherwise it'll make a copy. writeable lets you turn off the writeable flag for the array.
template <typename props> handle eigen_array_cast(typename props::Type const &src, handle base = handle(), bool writeable = true) {
constexpr ssize_t elem_size = sizeof(typename props::Scalar);
array a;
if (props::vector)
a = array({ src.size() }, { elem_size * src.innerStride() }, src.data(), base);
else
a = array({ src.rows(), src.cols() }, { elem_size * src.rowStride(), elem_size * src.colStride() },
src.data(), base);
if (!writeable)
array_proxy(a.ptr())->flags &= ~detail::npy_api::NPY_ARRAY_WRITEABLE_;
return a.release();
}
// Takes an lvalue ref to some Eigen type and a (python) base object, creating a numpy array that
// reference the Eigen object's data with `base` as the python-registered base class (if omitted,
// the base will be set to None, and lifetime management is up to the caller). The numpy array is
// non-writeable if the given type is const.
template <typename props, typename Type>
handle eigen_ref_array(Type &src, handle parent = none()) {
// none here is to get past array's should-we-copy detection, which currently always
// copies when there is no base. Setting the base to None should be harmless.
return eigen_array_cast<props>(src, parent, !std::is_const<Type>::value);
}
// Takes a pointer to some dense, plain Eigen type, builds a capsule around it, then returns a numpy
// array that references the encapsulated data with a python-side reference to the capsule to tie
// its destruction to that of any dependent python objects. Const-ness is determined by whether or
// not the Type of the pointer given is const.
template <typename props, typename Type, typename = enable_if_t<is_eigen_dense_plain<Type>::value>>
handle eigen_encapsulate(Type *src) {
capsule base(src, [](void *o) { delete static_cast<Type *>(o); });
return eigen_ref_array<props>(*src, base);
}
// Type caster for regular, dense matrix types (e.g. MatrixXd), but not maps/refs/etc. of dense
// types.
template<typename Type>
struct type_caster<Type, enable_if_t<is_eigen_dense_plain<Type>::value>> {
using Scalar = typename Type::Scalar;
using props = EigenProps<Type>;
bool load(handle src, bool convert) {
// If we're in no-convert mode, only load if given an array of the correct type
if (!convert && !isinstance<array_t<Scalar>>(src))
return false;
// Coerce into an array, but don't do type conversion yet; the copy below handles it.
auto buf = array::ensure(src);
if (!buf)
return false;
auto dims = buf.ndim();
if (dims < 1 || dims > 2)
return false;
auto fits = props::conformable(buf);
if (!fits)
return false;
// Allocate the new type, then build a numpy reference into it
value = Type(fits.rows, fits.cols);
auto ref = reinterpret_steal<array>(eigen_ref_array<props>(value));
if (dims == 1) ref = ref.squeeze();
int result = detail::npy_api::get().PyArray_CopyInto_(ref.ptr(), buf.ptr());
if (result < 0) { // Copy failed!
PyErr_Clear();
return false;
}
return true;
}
private:
// Cast implementation
template <typename CType>
static handle cast_impl(CType *src, return_value_policy policy, handle parent) {
switch (policy) {
case return_value_policy::take_ownership:
case return_value_policy::automatic:
return eigen_encapsulate<props>(src);
case return_value_policy::move:
return eigen_encapsulate<props>(new CType(std::move(*src)));
case return_value_policy::copy:
return eigen_array_cast<props>(*src);
case return_value_policy::reference:
case return_value_policy::automatic_reference:
return eigen_ref_array<props>(*src);
case return_value_policy::reference_internal:
return eigen_ref_array<props>(*src, parent);
default:
throw cast_error("unhandled return_value_policy: should not happen!");
};
}
public:
// Normal returned non-reference, non-const value:
static handle cast(Type &&src, return_value_policy /* policy */, handle parent) {
return cast_impl(&src, return_value_policy::move, parent);
}
// If you return a non-reference const, we mark the numpy array readonly:
static handle cast(const Type &&src, return_value_policy /* policy */, handle parent) {
return cast_impl(&src, return_value_policy::move, parent);
}
// lvalue reference return; default (automatic) becomes copy
static handle cast(Type &src, return_value_policy policy, handle parent) {
if (policy == return_value_policy::automatic || policy == return_value_policy::automatic_reference)
policy = return_value_policy::copy;
return cast_impl(&src, policy, parent);
}
// const lvalue reference return; default (automatic) becomes copy
static handle cast(const Type &src, return_value_policy policy, handle parent) {
if (policy == return_value_policy::automatic || policy == return_value_policy::automatic_reference)
policy = return_value_policy::copy;
return cast(&src, policy, parent);
}
// non-const pointer return
static handle cast(Type *src, return_value_policy policy, handle parent) {
return cast_impl(src, policy, parent);
}
// const pointer return
static handle cast(const Type *src, return_value_policy policy, handle parent) {
return cast_impl(src, policy, parent);
}
static PYBIND11_DESCR name() { return props::descriptor(); }
operator Type*() { return &value; }
operator Type&() { return value; }
operator Type&&() && { return std::move(value); }
template <typename T> using cast_op_type = movable_cast_op_type<T>;
private:
Type value;
};
// Eigen Ref/Map classes have slightly different policy requirements, meaning we don't want to force
// `move` when a Ref/Map rvalue is returned; we treat Ref<> sort of like a pointer (we care about
// the underlying data, not the outer shell).
template <typename Return>
struct return_value_policy_override<Return, enable_if_t<is_eigen_dense_map<Return>::value>> {
static return_value_policy policy(return_value_policy p) { return p; }
};
// Base class for casting reference/map/block/etc. objects back to python.
template <typename MapType> struct eigen_map_caster {
private:
using props = EigenProps<MapType>;
public:
// Directly referencing a ref/map's data is a bit dangerous (whatever the map/ref points to has
// to stay around), but we'll allow it under the assumption that you know what you're doing (and
// have an appropriate keep_alive in place). We return a numpy array pointing directly at the
// ref's data (The numpy array ends up read-only if the ref was to a const matrix type.) Note
// that this means you need to ensure you don't destroy the object in some other way (e.g. with
// an appropriate keep_alive, or with a reference to a statically allocated matrix).
static handle cast(const MapType &src, return_value_policy policy, handle parent) {
switch (policy) {
case return_value_policy::copy:
return eigen_array_cast<props>(src);
case return_value_policy::reference_internal:
return eigen_array_cast<props>(src, parent, is_eigen_mutable_map<MapType>::value);
case return_value_policy::reference:
case return_value_policy::automatic:
case return_value_policy::automatic_reference:
return eigen_array_cast<props>(src, none(), is_eigen_mutable_map<MapType>::value);
default:
// move, take_ownership don't make any sense for a ref/map:
pybind11_fail("Invalid return_value_policy for Eigen Map/Ref/Block type");
}
}
static PYBIND11_DESCR name() { return props::descriptor(); }
// Explicitly delete these: support python -> C++ conversion on these (i.e. these can be return
// types but not bound arguments). We still provide them (with an explicitly delete) so that
// you end up here if you try anyway.
bool load(handle, bool) = delete;
operator MapType() = delete;
template <typename> using cast_op_type = MapType;
};
// We can return any map-like object (but can only load Refs, specialized next):
template <typename Type> struct type_caster<Type, enable_if_t<is_eigen_dense_map<Type>::value>>
: eigen_map_caster<Type> {};
// Loader for Ref<...> arguments. See the documentation for info on how to make this work without
// copying (it requires some extra effort in many cases).
template <typename PlainObjectType, typename StrideType>
struct type_caster<
Eigen::Ref<PlainObjectType, 0, StrideType>,
enable_if_t<is_eigen_dense_map<Eigen::Ref<PlainObjectType, 0, StrideType>>::value>
> : public eigen_map_caster<Eigen::Ref<PlainObjectType, 0, StrideType>> {
private:
using Type = Eigen::Ref<PlainObjectType, 0, StrideType>;
using props = EigenProps<Type>;
using Scalar = typename props::Scalar;
using MapType = Eigen::Map<PlainObjectType, 0, StrideType>;
using Array = array_t<Scalar, array::forcecast |
((props::row_major ? props::inner_stride : props::outer_stride) == 1 ? array::c_style :
(props::row_major ? props::outer_stride : props::inner_stride) == 1 ? array::f_style : 0)>;
static constexpr bool need_writeable = is_eigen_mutable_map<Type>::value;
// Delay construction (these have no default constructor)
std::unique_ptr<MapType> map;
std::unique_ptr<Type> ref;
// Our array. When possible, this is just a numpy array pointing to the source data, but
// sometimes we can't avoid copying (e.g. input is not a numpy array at all, has an incompatible
// layout, or is an array of a type that needs to be converted). Using a numpy temporary
// (rather than an Eigen temporary) saves an extra copy when we need both type conversion and
// storage order conversion. (Note that we refuse to use this temporary copy when loading an
// argument for a Ref<M> with M non-const, i.e. a read-write reference).
Array copy_or_ref;
public:
bool load(handle src, bool convert) {
// First check whether what we have is already an array of the right type. If not, we can't
// avoid a copy (because the copy is also going to do type conversion).
bool need_copy = !isinstance<Array>(src);
EigenConformable<props::row_major> fits;
if (!need_copy) {
// We don't need a converting copy, but we also need to check whether the strides are
// compatible with the Ref's stride requirements
Array aref = reinterpret_borrow<Array>(src);
if (aref && (!need_writeable || aref.writeable())) {
fits = props::conformable(aref);
if (!fits) return false; // Incompatible dimensions
if (!fits.template stride_compatible<props>())
need_copy = true;
else
copy_or_ref = std::move(aref);
}
else {
need_copy = true;
}
}
if (need_copy) {
// We need to copy: If we need a mutable reference, or we're not supposed to convert
// (either because we're in the no-convert overload pass, or because we're explicitly
// instructed not to copy (via `py::arg().noconvert()`) we have to fail loading.
if (!convert || need_writeable) return false;
Array copy = Array::ensure(src);
if (!copy) return false;
fits = props::conformable(copy);
if (!fits || !fits.template stride_compatible<props>())
return false;
copy_or_ref = std::move(copy);
loader_life_support::add_patient(copy_or_ref);
}
ref.reset();
map.reset(new MapType(data(copy_or_ref), fits.rows, fits.cols, make_stride(fits.stride.outer(), fits.stride.inner())));
ref.reset(new Type(*map));
return true;
}
operator Type*() { return ref.get(); }
operator Type&() { return *ref; }
template <typename _T> using cast_op_type = pybind11::detail::cast_op_type<_T>;
private:
template <typename T = Type, enable_if_t<is_eigen_mutable_map<T>::value, int> = 0>
Scalar *data(Array &a) { return a.mutable_data(); }
template <typename T = Type, enable_if_t<!is_eigen_mutable_map<T>::value, int> = 0>
const Scalar *data(Array &a) { return a.data(); }
// Attempt to figure out a constructor of `Stride` that will work.
// If both strides are fixed, use a default constructor:
template <typename S> using stride_ctor_default = bool_constant<
S::InnerStrideAtCompileTime != Eigen::Dynamic && S::OuterStrideAtCompileTime != Eigen::Dynamic &&
std::is_default_constructible<S>::value>;
// Otherwise, if there is a two-index constructor, assume it is (outer,inner) like
// Eigen::Stride, and use it:
template <typename S> using stride_ctor_dual = bool_constant<
!stride_ctor_default<S>::value && std::is_constructible<S, EigenIndex, EigenIndex>::value>;
// Otherwise, if there is a one-index constructor, and just one of the strides is dynamic, use
// it (passing whichever stride is dynamic).
template <typename S> using stride_ctor_outer = bool_constant<
!any_of<stride_ctor_default<S>, stride_ctor_dual<S>>::value &&
S::OuterStrideAtCompileTime == Eigen::Dynamic && S::InnerStrideAtCompileTime != Eigen::Dynamic &&
std::is_constructible<S, EigenIndex>::value>;
template <typename S> using stride_ctor_inner = bool_constant<
!any_of<stride_ctor_default<S>, stride_ctor_dual<S>>::value &&
S::InnerStrideAtCompileTime == Eigen::Dynamic && S::OuterStrideAtCompileTime != Eigen::Dynamic &&
std::is_constructible<S, EigenIndex>::value>;
template <typename S = StrideType, enable_if_t<stride_ctor_default<S>::value, int> = 0>
static S make_stride(EigenIndex, EigenIndex) { return S(); }
template <typename S = StrideType, enable_if_t<stride_ctor_dual<S>::value, int> = 0>
static S make_stride(EigenIndex outer, EigenIndex inner) { return S(outer, inner); }
template <typename S = StrideType, enable_if_t<stride_ctor_outer<S>::value, int> = 0>
static S make_stride(EigenIndex outer, EigenIndex) { return S(outer); }
template <typename S = StrideType, enable_if_t<stride_ctor_inner<S>::value, int> = 0>
static S make_stride(EigenIndex, EigenIndex inner) { return S(inner); }
};
// type_caster for special matrix types (e.g. DiagonalMatrix), which are EigenBase, but not
// EigenDense (i.e. they don't have a data(), at least not with the usual matrix layout).
// load() is not supported, but we can cast them into the python domain by first copying to a
// regular Eigen::Matrix, then casting that.
template <typename Type>
struct type_caster<Type, enable_if_t<is_eigen_other<Type>::value>> {
protected:
using Matrix = Eigen::Matrix<typename Type::Scalar, Type::RowsAtCompileTime, Type::ColsAtCompileTime>;
using props = EigenProps<Matrix>;
public:
static handle cast(const Type &src, return_value_policy /* policy */, handle /* parent */) {
handle h = eigen_encapsulate<props>(new Matrix(src));
return h;
}
static handle cast(const Type *src, return_value_policy policy, handle parent) { return cast(*src, policy, parent); }
static PYBIND11_DESCR name() { return props::descriptor(); }
// Explicitly delete these: support python -> C++ conversion on these (i.e. these can be return
// types but not bound arguments). We still provide them (with an explicitly delete) so that
// you end up here if you try anyway.
bool load(handle, bool) = delete;
operator Type() = delete;
template <typename> using cast_op_type = Type;
};
template<typename Type>
struct type_caster<Type, enable_if_t<is_eigen_sparse<Type>::value>> {
typedef typename Type::Scalar Scalar;
typedef remove_reference_t<decltype(*std::declval<Type>().outerIndexPtr())> StorageIndex;
typedef typename Type::Index Index;
static constexpr bool rowMajor = Type::IsRowMajor;
bool load(handle src, bool) {
if (!src)
return false;
auto obj = reinterpret_borrow<object>(src);
object sparse_module = module::import("scipy.sparse");
object matrix_type = sparse_module.attr(
rowMajor ? "csr_matrix" : "csc_matrix");
if (!obj.get_type().is(matrix_type)) {
try {
obj = matrix_type(obj);
} catch (const error_already_set &) {
return false;
}
}
auto values = array_t<Scalar>((object) obj.attr("data"));
auto innerIndices = array_t<StorageIndex>((object) obj.attr("indices"));
auto outerIndices = array_t<StorageIndex>((object) obj.attr("indptr"));
auto shape = pybind11::tuple((pybind11::object) obj.attr("shape"));
auto nnz = obj.attr("nnz").cast<Index>();
if (!values || !innerIndices || !outerIndices)
return false;
value = Eigen::MappedSparseMatrix<Scalar, Type::Flags, StorageIndex>(
shape[0].cast<Index>(), shape[1].cast<Index>(), nnz,
outerIndices.mutable_data(), innerIndices.mutable_data(), values.mutable_data());
return true;
}
static handle cast(const Type &src, return_value_policy /* policy */, handle /* parent */) {
const_cast<Type&>(src).makeCompressed();
object matrix_type = module::import("scipy.sparse").attr(
rowMajor ? "csr_matrix" : "csc_matrix");
array data(src.nonZeros(), src.valuePtr());
array outerIndices((rowMajor ? src.rows() : src.cols()) + 1, src.outerIndexPtr());
array innerIndices(src.nonZeros(), src.innerIndexPtr());
return matrix_type(
std::make_tuple(data, innerIndices, outerIndices),
std::make_pair(src.rows(), src.cols())
).release();
}
PYBIND11_TYPE_CASTER(Type, _<(Type::IsRowMajor) != 0>("scipy.sparse.csr_matrix[", "scipy.sparse.csc_matrix[")
+ npy_format_descriptor<Scalar>::name() + _("]"));
};
NAMESPACE_END(detail)
NAMESPACE_END(pybind11)
#if defined(__GNUG__) || defined(__clang__)
# pragma GCC diagnostic pop
#elif defined(_MSC_VER)
# pragma warning(pop)
#endif
ppocr/postprocess/lanms/include/pybind11/embed.h 0 → 100644
View file @ b0171a71
/*
pybind11/embed.h: Support for embedding the interpreter
Copyright (c) 2017 Wenzel Jakob <wenzel.jakob@epfl.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include "pybind11.h"
#include "eval.h"
#if defined(PYPY_VERSION)
# error Embedding the interpreter is not supported with PyPy
#endif
#if PY_MAJOR_VERSION >= 3
# define PYBIND11_EMBEDDED_MODULE_IMPL(name) \
extern "C" PyObject *pybind11_init_impl_##name() { \
return pybind11_init_wrapper_##name(); \
}
#else
# define PYBIND11_EMBEDDED_MODULE_IMPL(name) \
extern "C" void pybind11_init_impl_##name() { \
pybind11_init_wrapper_##name(); \
}
#endif
/** \rst
Add a new module to the table of builtins for the interpreter. Must be
defined in global scope. The first macro parameter is the name of the
module (without quotes). The second parameter is the variable which will
be used as the interface to add functions and classes to the module.
.. code-block:: cpp
PYBIND11_EMBEDDED_MODULE(example, m) {
// ... initialize functions and classes here
m.def("foo", []() {
return "Hello, World!";
});
}
\endrst */
#define PYBIND11_EMBEDDED_MODULE(name, variable) \
static void pybind11_init_##name(pybind11::module &); \
static PyObject *pybind11_init_wrapper_##name() { \
auto m = pybind11::module(#name); \
try { \
pybind11_init_##name(m); \
return m.ptr(); \
} catch (pybind11::error_already_set &e) { \
PyErr_SetString(PyExc_ImportError, e.what()); \
return nullptr; \
} catch (const std::exception &e) { \
PyErr_SetString(PyExc_ImportError, e.what()); \
return nullptr; \
} \
} \
PYBIND11_EMBEDDED_MODULE_IMPL(name) \
pybind11::detail::embedded_module name(#name, pybind11_init_impl_##name); \
void pybind11_init_##name(pybind11::module &variable)
NAMESPACE_BEGIN(pybind11)
NAMESPACE_BEGIN(detail)
/// Python 2.7/3.x compatible version of `PyImport_AppendInittab` and error checks.
struct embedded_module {
#if PY_MAJOR_VERSION >= 3
using init_t = PyObject *(*)();
#else
using init_t = void (*)();
#endif
embedded_module(const char *name, init_t init) {
if (Py_IsInitialized())
pybind11_fail("Can't add new modules after the interpreter has been initialized");
auto result = PyImport_AppendInittab(name, init);
if (result == -1)
pybind11_fail("Insufficient memory to add a new module");
}
};
NAMESPACE_END(detail)
/** \rst
Initialize the Python interpreter. No other pybind11 or CPython API functions can be
called before this is done; with the exception of `PYBIND11_EMBEDDED_MODULE`. The
optional parameter can be used to skip the registration of signal handlers (see the
Python documentation for details). Calling this function again after the interpreter
has already been initialized is a fatal error.
\endrst */
inline void initialize_interpreter(bool init_signal_handlers = true) {
if (Py_IsInitialized())
pybind11_fail("The interpreter is already running");
Py_InitializeEx(init_signal_handlers ? 1 : 0);
// Make .py files in the working directory available by default
auto sys_path = reinterpret_borrow<list>(module::import("sys").attr("path"));
sys_path.append(".");
}
/** \rst
Shut down the Python interpreter. No pybind11 or CPython API functions can be called
after this. In addition, pybind11 objects must not outlive the interpreter:
.. code-block:: cpp
{ // BAD
py::initialize_interpreter();
auto hello = py::str("Hello, World!");
py::finalize_interpreter();
} // <-- BOOM, hello's destructor is called after interpreter shutdown
{ // GOOD
py::initialize_interpreter();
{ // scoped
auto hello = py::str("Hello, World!");
} // <-- OK, hello is cleaned up properly
py::finalize_interpreter();
}
{ // BETTER
py::scoped_interpreter guard{};
auto hello = py::str("Hello, World!");
}
.. warning::
The interpreter can be restarted by calling `initialize_interpreter` again.
Modules created using pybind11 can be safely re-initialized. However, Python
itself cannot completely unload binary extension modules and there are several
caveats with regard to interpreter restarting. All the details can be found
in the CPython documentation. In short, not all interpreter memory may be
freed, either due to reference cycles or user-created global data.
\endrst */
inline void finalize_interpreter() {
handle builtins(PyEval_GetBuiltins());
const char *id = PYBIND11_INTERNALS_ID;
// Get the internals pointer (without creating it if it doesn't exist). It's possible for the
// internals to be created during Py_Finalize() (e.g. if a py::capsule calls `get_internals()`
// during destruction), so we get the pointer-pointer here and check it after Py_Finalize().
detail::internals **internals_ptr_ptr = &detail::get_internals_ptr();
// It could also be stashed in builtins, so look there too:
if (builtins.contains(id) && isinstance<capsule>(builtins[id]))
internals_ptr_ptr = capsule(builtins[id]);
Py_Finalize();
if (internals_ptr_ptr) {
delete *internals_ptr_ptr;
*internals_ptr_ptr = nullptr;
}
}
/** \rst
Scope guard version of `initialize_interpreter` and `finalize_interpreter`.
This a move-only guard and only a single instance can exist.
.. code-block:: cpp
#include <pybind11/embed.h>
int main() {
py::scoped_interpreter guard{};
py::print(Hello, World!);
} // <-- interpreter shutdown
\endrst */
class scoped_interpreter {
public:
scoped_interpreter(bool init_signal_handlers = true) {
initialize_interpreter(init_signal_handlers);
}
scoped_interpreter(const scoped_interpreter &) = delete;
scoped_interpreter(scoped_interpreter &&other) noexcept { other.is_valid = false; }
scoped_interpreter &operator=(const scoped_interpreter &) = delete;
scoped_interpreter &operator=(scoped_interpreter &&) = delete;
~scoped_interpreter() {
if (is_valid)
finalize_interpreter();
}
private:
bool is_valid = true;
};
NAMESPACE_END(pybind11)
ppocr/postprocess/lanms/include/pybind11/eval.h 0 → 100644
View file @ b0171a71
/*
pybind11/exec.h: Support for evaluating Python expressions and statements
from strings and files
Copyright (c) 2016 Klemens Morgenstern <klemens.morgenstern@ed-chemnitz.de> and
Wenzel Jakob <wenzel.jakob@epfl.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include "pybind11.h"
NAMESPACE_BEGIN(pybind11)
enum eval_mode {
/// Evaluate a string containing an isolated expression
eval_expr,
/// Evaluate a string containing a single statement. Returns \c none
eval_single_statement,
/// Evaluate a string containing a sequence of statement. Returns \c none
eval_statements
};
template <eval_mode mode = eval_expr>
object eval(str expr, object global = globals(), object local = object()) {
if (!local)
local = global;
/* PyRun_String does not accept a PyObject / encoding specifier,
this seems to be the only alternative */
std::string buffer = "# -*- coding: utf-8 -*-\n" + (std::string) expr;
int start;
switch (mode) {
case eval_expr: start = Py_eval_input; break;
case eval_single_statement: start = Py_single_input; break;
case eval_statements: start = Py_file_input; break;
default: pybind11_fail("invalid evaluation mode");
}
PyObject *result = PyRun_String(buffer.c_str(), start, global.ptr(), local.ptr());
if (!result)
throw error_already_set();
return reinterpret_steal<object>(result);
}
template <eval_mode mode = eval_expr, size_t N>
object eval(const char (&s)[N], object global = globals(), object local = object()) {
/* Support raw string literals by removing common leading whitespace */
auto expr = (s[0] == '\n') ? str(module::import("textwrap").attr("dedent")(s))
: str(s);
return eval<mode>(expr, global, local);
}
inline void exec(str expr, object global = globals(), object local = object()) {
eval<eval_statements>(expr, global, local);
}
template <size_t N>
void exec(const char (&s)[N], object global = globals(), object local = object()) {
eval<eval_statements>(s, global, local);
}
template <eval_mode mode = eval_statements>
object eval_file(str fname, object global = globals(), object local = object()) {
if (!local)
local = global;
int start;
switch (mode) {
case eval_expr: start = Py_eval_input; break;
case eval_single_statement: start = Py_single_input; break;
case eval_statements: start = Py_file_input; break;
default: pybind11_fail("invalid evaluation mode");
}
int closeFile = 1;
std::string fname_str = (std::string) fname;
#if PY_VERSION_HEX >= 0x03040000
FILE *f = _Py_fopen_obj(fname.ptr(), "r");
#elif PY_VERSION_HEX >= 0x03000000
FILE *f = _Py_fopen(fname.ptr(), "r");
#else
/* No unicode support in open() :( */
auto fobj = reinterpret_steal<object>(PyFile_FromString(
const_cast<char *>(fname_str.c_str()),
const_cast<char*>("r")));
FILE *f = nullptr;
if (fobj)
f = PyFile_AsFile(fobj.ptr());
closeFile = 0;
#endif
if (!f) {
PyErr_Clear();
pybind11_fail("File \"" + fname_str + "\" could not be opened!");
}
#if PY_VERSION_HEX < 0x03000000 && defined(PYPY_VERSION)
PyObject *result = PyRun_File(f, fname_str.c_str(), start, global.ptr(),
local.ptr());
(void) closeFile;
#else
PyObject *result = PyRun_FileEx(f, fname_str.c_str(), start, global.ptr(),
local.ptr(), closeFile);
#endif
if (!result)
throw error_already_set();
return reinterpret_steal<object>(result);
}
NAMESPACE_END(pybind11)
ppocr/postprocess/lanms/include/pybind11/functional.h 0 → 100644
View file @ b0171a71
/*
pybind11/functional.h: std::function<> support
Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include "pybind11.h"
#include <functional>
NAMESPACE_BEGIN(pybind11)
NAMESPACE_BEGIN(detail)
template <typename Return, typename... Args>
struct type_caster<std::function<Return(Args...)>> {
using type = std::function<Return(Args...)>;
using retval_type = conditional_t<std::is_same<Return, void>::value, void_type, Return>;
using function_type = Return (*) (Args...);
public:
bool load(handle src, bool convert) {
if (src.is_none()) {
// Defer accepting None to other overloads (if we aren't in convert mode):
if (!convert) return false;
return true;
}
if (!isinstance<function>(src))
return false;
auto func = reinterpret_borrow<function>(src);
/*
When passing a C++ function as an argument to another C++
function via Python, every function call would normally involve
a full C++ -> Python -> C++ roundtrip, which can be prohibitive.
Here, we try to at least detect the case where the function is
stateless (i.e. function pointer or lambda function without
captured variables), in which case the roundtrip can be avoided.
*/
if (auto cfunc = func.cpp_function()) {
auto c = reinterpret_borrow<capsule>(PyCFunction_GET_SELF(cfunc.ptr()));
auto rec = (function_record *) c;
if (rec && rec->is_stateless &&
same_type(typeid(function_type), *reinterpret_cast<const std::type_info *>(rec->data[1]))) {
struct capture { function_type f; };
value = ((capture *) &rec->data)->f;
return true;
}
}
value = [func](Args... args) -> Return {
gil_scoped_acquire acq;
object retval(func(std::forward<Args>(args)...));
/* Visual studio 2015 parser issue: need parentheses around this expression */
return (retval.template cast<Return>());
};
return true;
}
template <typename Func>
static handle cast(Func &&f_, return_value_policy policy, handle /* parent */) {
if (!f_)
return none().inc_ref();
auto result = f_.template target<function_type>();
if (result)
return cpp_function(*result, policy).release();
else
return cpp_function(std::forward<Func>(f_), policy).release();
}
PYBIND11_TYPE_CASTER(type, _("Callable[[") +
argument_loader<Args...>::arg_names() + _("], ") +
make_caster<retval_type>::name() +
_("]"));
};
NAMESPACE_END(detail)
NAMESPACE_END(pybind11)
ppocr/postprocess/lanms/include/pybind11/numpy.h 0 → 100644
View file @ b0171a71
/*
pybind11/numpy.h: Basic NumPy support, vectorize() wrapper
Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include "pybind11.h"
#include "complex.h"
#include <numeric>
#include <algorithm>
#include <array>
#include <cstdlib>
#include <cstring>
#include <sstream>
#include <string>
#include <initializer_list>
#include <functional>
#include <utility>
#include <typeindex>
#if defined(_MSC_VER)
# pragma warning(push)
# pragma warning(disable: 4127) // warning C4127: Conditional expression is constant
#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. */
static_assert(sizeof(ssize_t) == sizeof(Py_intptr_t), "ssize_t != Py_intptr_t");
NAMESPACE_BEGIN(pybind11)
class array; // Forward declaration
NAMESPACE_BEGIN(detail)
template <typename type, typename SFINAE = void> struct npy_format_descriptor;
struct PyArrayDescr_Proxy {
PyObject_HEAD
PyObject *typeobj;
char kind;
char type;
char byteorder;
char flags;
int type_num;
int elsize;
int alignment;
char *subarray;
PyObject *fields;
PyObject *names;
};
struct PyArray_Proxy {
PyObject_HEAD
char *data;
int nd;
ssize_t *dimensions;
ssize_t *strides;
PyObject *base;
PyObject *descr;
int flags;
};
struct PyVoidScalarObject_Proxy {
PyObject_VAR_HEAD
char *obval;
PyArrayDescr_Proxy *descr;
int flags;
PyObject *base;
};
struct numpy_type_info {
PyObject* dtype_ptr;
std::string format_str;
};
struct numpy_internals {
std::unordered_map<std::type_index, numpy_type_info> registered_dtypes;
numpy_type_info *get_type_info(const std::type_info& tinfo, bool throw_if_missing = true) {
auto it = registered_dtypes.find(std::type_index(tinfo));
if (it != registered_dtypes.end())
return &(it->second);
if (throw_if_missing)
pybind11_fail(std::string("NumPy type info missing for ") + tinfo.name());
return nullptr;
}
template<typename T> numpy_type_info *get_type_info(bool throw_if_missing = true) {
return get_type_info(typeid(typename std::remove_cv<T>::type), throw_if_missing);
}
};
inline PYBIND11_NOINLINE void load_numpy_internals(numpy_internals* &ptr) {
ptr = &get_or_create_shared_data<numpy_internals>("_numpy_internals");
}
inline numpy_internals& get_numpy_internals() {
static numpy_internals* ptr = nullptr;
if (!ptr)
load_numpy_internals(ptr);
return *ptr;
}
struct npy_api {
enum constants {
NPY_ARRAY_C_CONTIGUOUS_ = 0x0001,
NPY_ARRAY_F_CONTIGUOUS_ = 0x0002,
NPY_ARRAY_OWNDATA_ = 0x0004,
NPY_ARRAY_FORCECAST_ = 0x0010,
NPY_ARRAY_ENSUREARRAY_ = 0x0040,
NPY_ARRAY_ALIGNED_ = 0x0100,
NPY_ARRAY_WRITEABLE_ = 0x0400,
NPY_BOOL_ = 0,
NPY_BYTE_, NPY_UBYTE_,
NPY_SHORT_, NPY_USHORT_,
NPY_INT_, NPY_UINT_,
NPY_LONG_, NPY_ULONG_,
NPY_LONGLONG_, NPY_ULONGLONG_,
NPY_FLOAT_, NPY_DOUBLE_, NPY_LONGDOUBLE_,
NPY_CFLOAT_, NPY_CDOUBLE_, NPY_CLONGDOUBLE_,
NPY_OBJECT_ = 17,
NPY_STRING_, NPY_UNICODE_, NPY_VOID_
};
typedef struct {
Py_intptr_t *ptr;
int len;
} PyArray_Dims;
static npy_api& get() {
static npy_api api = lookup();
return api;
}
bool PyArray_Check_(PyObject *obj) const {
return (bool) PyObject_TypeCheck(obj, PyArray_Type_);
}
bool PyArrayDescr_Check_(PyObject *obj) const {
return (bool) PyObject_TypeCheck(obj, PyArrayDescr_Type_);
}
unsigned int (*PyArray_GetNDArrayCFeatureVersion_)();
PyObject *(*PyArray_DescrFromType_)(int);
PyObject *(*PyArray_NewFromDescr_)
(PyTypeObject *, PyObject *, int, Py_intptr_t *,
Py_intptr_t *, void *, int, PyObject *);
PyObject *(*PyArray_DescrNewFromType_)(int);
int (*PyArray_CopyInto_)(PyObject *, PyObject *);
PyObject *(*PyArray_NewCopy_)(PyObject *, int);
PyTypeObject *PyArray_Type_;
PyTypeObject *PyVoidArrType_Type_;
PyTypeObject *PyArrayDescr_Type_;
PyObject *(*PyArray_DescrFromScalar_)(PyObject *);
PyObject *(*PyArray_FromAny_) (PyObject *, PyObject *, int, int, int, PyObject *);
int (*PyArray_DescrConverter_) (PyObject *, PyObject **);
bool (*PyArray_EquivTypes_) (PyObject *, PyObject *);
int (*PyArray_GetArrayParamsFromObject_)(PyObject *, PyObject *, char, PyObject **, int *,
Py_ssize_t *, PyObject **, PyObject *);
PyObject *(*PyArray_Squeeze_)(PyObject *);
int (*PyArray_SetBaseObject_)(PyObject *, PyObject *);
PyObject* (*PyArray_Resize_)(PyObject*, PyArray_Dims*, int, int);
private:
enum functions {
API_PyArray_GetNDArrayCFeatureVersion = 211,
API_PyArray_Type = 2,
API_PyArrayDescr_Type = 3,
API_PyVoidArrType_Type = 39,
API_PyArray_DescrFromType = 45,
API_PyArray_DescrFromScalar = 57,
API_PyArray_FromAny = 69,
API_PyArray_Resize = 80,
API_PyArray_CopyInto = 82,
API_PyArray_NewCopy = 85,
API_PyArray_NewFromDescr = 94,
API_PyArray_DescrNewFromType = 9,
API_PyArray_DescrConverter = 174,
API_PyArray_EquivTypes = 182,
API_PyArray_GetArrayParamsFromObject = 278,
API_PyArray_Squeeze = 136,
API_PyArray_SetBaseObject = 282
};
static npy_api lookup() {
module m = module::import("numpy.core.multiarray");
auto c = m.attr("_ARRAY_API");
#if PY_MAJOR_VERSION >= 3
void **api_ptr = (void **) PyCapsule_GetPointer(c.ptr(), NULL);
#else
void **api_ptr = (void **) PyCObject_AsVoidPtr(c.ptr());
#endif
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)
pybind11_fail("pybind11 numpy support requires numpy >= 1.7.0");
DECL_NPY_API(PyArray_Type);
DECL_NPY_API(PyVoidArrType_Type);
DECL_NPY_API(PyArrayDescr_Type);
DECL_NPY_API(PyArray_DescrFromType);
DECL_NPY_API(PyArray_DescrFromScalar);
DECL_NPY_API(PyArray_FromAny);
DECL_NPY_API(PyArray_Resize);
DECL_NPY_API(PyArray_CopyInto);
DECL_NPY_API(PyArray_NewCopy);
DECL_NPY_API(PyArray_NewFromDescr);
DECL_NPY_API(PyArray_DescrNewFromType);
DECL_NPY_API(PyArray_DescrConverter);
DECL_NPY_API(PyArray_EquivTypes);
DECL_NPY_API(PyArray_GetArrayParamsFromObject);
DECL_NPY_API(PyArray_Squeeze);
DECL_NPY_API(PyArray_SetBaseObject);
#undef DECL_NPY_API
return api;
}
};
inline PyArray_Proxy* array_proxy(void* ptr) {
return reinterpret_cast<PyArray_Proxy*>(ptr);
}
inline const PyArray_Proxy* array_proxy(const void* ptr) {
return reinterpret_cast<const PyArray_Proxy*>(ptr);
}
inline PyArrayDescr_Proxy* array_descriptor_proxy(PyObject* ptr) {
return reinterpret_cast<PyArrayDescr_Proxy*>(ptr);
}
inline const PyArrayDescr_Proxy* array_descriptor_proxy(const PyObject* ptr) {
return reinterpret_cast<const PyArrayDescr_Proxy*>(ptr);
}
inline bool check_flags(const void* ptr, int flag) {
return (flag == (array_proxy(ptr)->flags & flag));
}
template <typename T> struct is_std_array : std::false_type { };
template <typename T, size_t N> struct is_std_array<std::array<T, N>> : std::true_type { };
template <typename T> struct is_complex : std::false_type { };
template <typename T> struct is_complex<std::complex<T>> : std::true_type { };
template <typename T> struct array_info_scalar {
typedef T type;
static constexpr bool is_array = false;
static constexpr bool is_empty = false;
static PYBIND11_DESCR extents() { return _(""); }
static void append_extents(list& /* shape */) { }
};
// Computes underlying type and a comma-separated list of extents for array
// types (any mix of std::array and built-in arrays). An array of char is
// treated as scalar because it gets special handling.
template <typename T> struct array_info : array_info_scalar<T> { };
template <typename T, size_t N> struct array_info<std::array<T, N>> {
using type = typename array_info<T>::type;
static constexpr bool is_array = true;
static constexpr bool is_empty = (N == 0) || array_info<T>::is_empty;
static constexpr size_t extent = N;
// appends the extents to shape
static void append_extents(list& shape) {
shape.append(N);
array_info<T>::append_extents(shape);
}
template<typename T2 = T, enable_if_t<!array_info<T2>::is_array, int> = 0>
static PYBIND11_DESCR extents() {
return _<N>();
}
template<typename T2 = T, enable_if_t<array_info<T2>::is_array, int> = 0>
static PYBIND11_DESCR extents() {
return concat(_<N>(), array_info<T>::extents());
}
};
// For numpy we have special handling for arrays of characters, so we don't include
// the size in the array extents.
template <size_t N> struct array_info<char[N]> : array_info_scalar<char[N]> { };
template <size_t N> struct array_info<std::array<char, N>> : array_info_scalar<std::array<char, N>> { };
template <typename T, size_t N> struct array_info<T[N]> : array_info<std::array<T, N>> { };
template <typename T> using remove_all_extents_t = typename array_info<T>::type;
template <typename T> using is_pod_struct = all_of<
std::is_standard_layout<T>, // since we're accessing directly in memory we need a standard layout type
#if !defined(__GNUG__) || defined(__clang__) || __GNUC__ >= 5
std::is_trivially_copyable<T>,
#else
// GCC 4 doesn't implement is_trivially_copyable, so approximate it
std::is_trivially_destructible<T>,
satisfies_any_of<T, std::has_trivial_copy_constructor, std::has_trivial_copy_assign>,
#endif
satisfies_none_of<T, std::is_reference, std::is_array, is_std_array, std::is_arithmetic, is_complex, std::is_enum>
>;
template <ssize_t Dim = 0, typename Strides> ssize_t byte_offset_unsafe(const Strides &) { return 0; }
template <ssize_t Dim = 0, typename Strides, typename... Ix>
ssize_t byte_offset_unsafe(const Strides &strides, ssize_t i, Ix... index) {
return i * strides[Dim] + byte_offset_unsafe<Dim + 1>(strides, index...);
}
/**
* Proxy class providing unsafe, unchecked const access to array data. This is constructed through
* the `unchecked<T, N>()` method of `array` or the `unchecked<N>()` method of `array_t<T>`. `Dims`
* will be -1 for dimensions determined at runtime.
*/
template <typename T, ssize_t Dims>
class unchecked_reference {
protected:
static constexpr bool Dynamic = Dims < 0;
const unsigned char *data_;
// Storing the shape & strides in local variables (i.e. these arrays) allows the compiler to
// make large performance gains on big, nested loops, but requires compile-time dimensions
conditional_t<Dynamic, const ssize_t *, std::array<ssize_t, (size_t) Dims>>
shape_, strides_;
const ssize_t dims_;
friend class pybind11::array;
// Constructor for compile-time dimensions:
template <bool Dyn = Dynamic>
unchecked_reference(const void *data, const ssize_t *shape, const ssize_t *strides, enable_if_t<!Dyn, ssize_t>)
: data_{reinterpret_cast<const unsigned char *>(data)}, dims_{Dims} {
for (size_t i = 0; i < (size_t) dims_; i++) {
shape_[i] = shape[i];
strides_[i] = strides[i];
}
}
// Constructor for runtime dimensions:
template <bool Dyn = Dynamic>
unchecked_reference(const void *data, const ssize_t *shape, const ssize_t *strides, enable_if_t<Dyn, ssize_t> dims)
: data_{reinterpret_cast<const unsigned char *>(data)}, shape_{shape}, strides_{strides}, dims_{dims} {}
public:
/**
* Unchecked const reference access to data at the given indices. For a compile-time known
* number of dimensions, this requires the correct number of arguments; for run-time
* dimensionality, this is not checked (and so is up to the caller to use safely).
*/
template <typename... Ix> const T &operator()(Ix... index) const {
static_assert(sizeof...(Ix) == Dims || Dynamic,
"Invalid number of indices for unchecked array reference");
return *reinterpret_cast<const T *>(data_ + byte_offset_unsafe(strides_, ssize_t(index)...));
}
/**
* Unchecked const reference access to data; this operator only participates if the reference
* is to a 1-dimensional array. When present, this is exactly equivalent to `obj(index)`.
*/
template <ssize_t D = Dims, typename = enable_if_t<D == 1 || Dynamic>>
const T &operator[](ssize_t index) const { return operator()(index); }
/// Pointer access to the data at the given indices.
template <typename... Ix> const T *data(Ix... ix) const { return &operator()(ssize_t(ix)...); }
/// Returns the item size, i.e. sizeof(T)
constexpr static ssize_t itemsize() { return sizeof(T); }
/// Returns the shape (i.e. size) of dimension `dim`
ssize_t shape(ssize_t dim) const { return shape_[(size_t) dim]; }
/// Returns the number of dimensions of the array
ssize_t ndim() const { return dims_; }
/// Returns the total number of elements in the referenced array, i.e. the product of the shapes
template <bool Dyn = Dynamic>
enable_if_t<!Dyn, ssize_t> size() const {
return std::accumulate(shape_.begin(), shape_.end(), (ssize_t) 1, std::multiplies<ssize_t>());
}
template <bool Dyn = Dynamic>
enable_if_t<Dyn, ssize_t> size() const {
return std::accumulate(shape_, shape_ + ndim(), (ssize_t) 1, std::multiplies<ssize_t>());
}
/// Returns the total number of bytes used by the referenced data. Note that the actual span in
/// memory may be larger if the referenced array has non-contiguous strides (e.g. for a slice).
ssize_t nbytes() const {
return size() * itemsize();
}
};
template <typename T, ssize_t Dims>
class unchecked_mutable_reference : public unchecked_reference<T, Dims> {
friend class pybind11::array;
using ConstBase = unchecked_reference<T, Dims>;
using ConstBase::ConstBase;
using ConstBase::Dynamic;
public:
/// Mutable, unchecked access to data at the given indices.
template <typename... Ix> T& operator()(Ix... index) {
static_assert(sizeof...(Ix) == Dims || Dynamic,
"Invalid number of indices for unchecked array reference");
return const_cast<T &>(ConstBase::operator()(index...));
}
/**
* Mutable, unchecked access data at the given index; this operator only participates if the
* reference is to a 1-dimensional array (or has runtime dimensions). When present, this is
* exactly equivalent to `obj(index)`.
*/
template <ssize_t D = Dims, typename = enable_if_t<D == 1 || Dynamic>>
T &operator[](ssize_t index) { return operator()(index); }
/// Mutable pointer access to the data at the given indices.
template <typename... Ix> T *mutable_data(Ix... ix) { return &operator()(ssize_t(ix)...); }
};
template <typename T, ssize_t Dim>
struct type_caster<unchecked_reference<T, Dim>> {
static_assert(Dim == 0 && Dim > 0 /* always fail */, "unchecked array proxy object is not castable");
};
template <typename T, ssize_t Dim>
struct type_caster<unchecked_mutable_reference<T, Dim>> : type_caster<unchecked_reference<T, Dim>> {};
NAMESPACE_END(detail)
class dtype : public object {
public:
PYBIND11_OBJECT_DEFAULT(dtype, object, detail::npy_api::get().PyArrayDescr_Check_);
explicit dtype(const buffer_info &info) {
dtype descr(_dtype_from_pep3118()(PYBIND11_STR_TYPE(info.format)));
// If info.itemsize == 0, use the value calculated from the format string
m_ptr = descr.strip_padding(info.itemsize ? info.itemsize : descr.itemsize()).release().ptr();
}
explicit dtype(const std::string &format) {
m_ptr = from_args(pybind11::str(format)).release().ptr();
}
dtype(const char *format) : dtype(std::string(format)) { }
dtype(list names, list formats, list offsets, ssize_t itemsize) {
dict args;
args["names"] = names;
args["formats"] = formats;
args["offsets"] = offsets;
args["itemsize"] = pybind11::int_(itemsize);
m_ptr = from_args(args).release().ptr();
}
/// This is essentially the same as calling numpy.dtype(args) in Python.
static dtype from_args(object args) {
PyObject *ptr = nullptr;
if (!detail::npy_api::get().PyArray_DescrConverter_(args.release().ptr(), &ptr) || !ptr)
throw error_already_set();
return reinterpret_steal<dtype>(ptr);
}
/// Return dtype associated with a C++ type.
template <typename T> static dtype of() {
return detail::npy_format_descriptor<typename std::remove_cv<T>::type>::dtype();
}
/// Size of the data type in bytes.
ssize_t itemsize() const {
return detail::array_descriptor_proxy(m_ptr)->elsize;
}
/// Returns true for structured data types.
bool has_fields() const {
return detail::array_descriptor_proxy(m_ptr)->names != nullptr;
}
/// Single-character type code.
char kind() const {
return detail::array_descriptor_proxy(m_ptr)->kind;
}
private:
static object _dtype_from_pep3118() {
static PyObject *obj = module::import("numpy.core._internal")
.attr("_dtype_from_pep3118").cast<object>().release().ptr();
return reinterpret_borrow<object>(obj);
}
dtype strip_padding(ssize_t itemsize) {
// Recursively strip all void fields with empty names that are generated for
// padding fields (as of NumPy v1.11).
if (!has_fields())
return *this;
struct field_descr { PYBIND11_STR_TYPE name; object format; pybind11::int_ offset; };
std::vector<field_descr> field_descriptors;
for (auto field : attr("fields").attr("items")()) {
auto spec = field.cast<tuple>();
auto name = spec[0].cast<pybind11::str>();
auto format = spec[1].cast<tuple>()[0].cast<dtype>();
auto offset = spec[1].cast<tuple>()[1].cast<pybind11::int_>();
if (!len(name) && format.kind() == 'V')
continue;
field_descriptors.push_back({(PYBIND11_STR_TYPE) name, format.strip_padding(format.itemsize()), offset});
}
std::sort(field_descriptors.begin(), field_descriptors.end(),
[](const field_descr& a, const field_descr& b) {
return a.offset.cast<int>() < b.offset.cast<int>();
});
list names, formats, offsets;
for (auto& descr : field_descriptors) {
names.append(descr.name);
formats.append(descr.format);
offsets.append(descr.offset);
}
return dtype(names, formats, offsets, itemsize);
}
};
class array : public buffer {
public:
PYBIND11_OBJECT_CVT(array, buffer, detail::npy_api::get().PyArray_Check_, raw_array)
enum {
c_style = detail::npy_api::NPY_ARRAY_C_CONTIGUOUS_,
f_style = detail::npy_api::NPY_ARRAY_F_CONTIGUOUS_,
forcecast = detail::npy_api::NPY_ARRAY_FORCECAST_
};
array() : array({{0}}, static_cast<const double *>(nullptr)) {}
using ShapeContainer = detail::any_container<ssize_t>;
using StridesContainer = detail::any_container<ssize_t>;
// Constructs an array taking shape/strides from arbitrary container types
array(const pybind11::dtype &dt, ShapeContainer shape, StridesContainer strides,
const void *ptr = nullptr, handle base = handle()) {
if (strides->empty())
*strides = c_strides(*shape, dt.itemsize());
auto ndim = shape->size();
if (ndim != strides->size())
pybind11_fail("NumPy: shape ndim doesn't match strides ndim");
auto descr = dt;
int flags = 0;
if (base && ptr) {
if (isinstance<array>(base))
/* Copy flags from base (except ownership bit) */
flags = reinterpret_borrow<array>(base).flags() & ~detail::npy_api::NPY_ARRAY_OWNDATA_;
else
/* Writable by default, easy to downgrade later on if needed */
flags = detail::npy_api::NPY_ARRAY_WRITEABLE_;
}
auto &api = detail::npy_api::get();
auto tmp = reinterpret_steal<object>(api.PyArray_NewFromDescr_(
api.PyArray_Type_, descr.release().ptr(), (int) ndim, shape->data(), strides->data(),
const_cast<void *>(ptr), flags, nullptr));
if (!tmp)
throw error_already_set();
if (ptr) {
if (base) {
api.PyArray_SetBaseObject_(tmp.ptr(), base.inc_ref().ptr());
} else {
tmp = reinterpret_steal<object>(api.PyArray_NewCopy_(tmp.ptr(), -1 /* any order */));
}
}
m_ptr = tmp.release().ptr();
}
array(const pybind11::dtype &dt, ShapeContainer shape, const void *ptr = nullptr, handle base = handle())
: array(dt, std::move(shape), {}, ptr, base) { }
template <typename T, typename = detail::enable_if_t<std::is_integral<T>::value && !std::is_same<bool, T>::value>>
array(const pybind11::dtype &dt, T count, const void *ptr = nullptr, handle base = handle())
: array(dt, {{count}}, ptr, base) { }
template <typename T>
array(ShapeContainer shape, StridesContainer strides, const T *ptr, handle base = handle())
: array(pybind11::dtype::of<T>(), std::move(shape), std::move(strides), ptr, base) { }
template <typename T>
array(ShapeContainer shape, const T *ptr, handle base = handle())
: array(std::move(shape), {}, ptr, base) { }
template <typename T>
explicit array(ssize_t count, const T *ptr, handle base = handle()) : array({count}, {}, ptr, base) { }
explicit array(const buffer_info &info)
: array(pybind11::dtype(info), info.shape, info.strides, info.ptr) { }
/// Array descriptor (dtype)
pybind11::dtype dtype() const {
return reinterpret_borrow<pybind11::dtype>(detail::array_proxy(m_ptr)->descr);
}
/// Total number of elements
ssize_t size() const {
return std::accumulate(shape(), shape() + ndim(), (ssize_t) 1, std::multiplies<ssize_t>());
}
/// Byte size of a single element
ssize_t itemsize() const {
return detail::array_descriptor_proxy(detail::array_proxy(m_ptr)->descr)->elsize;
}
/// Total number of bytes
ssize_t nbytes() const {
return size() * itemsize();
}
/// Number of dimensions
ssize_t ndim() const {
return detail::array_proxy(m_ptr)->nd;
}
/// Base object
object base() const {
return reinterpret_borrow<object>(detail::array_proxy(m_ptr)->base);
}
/// Dimensions of the array
const ssize_t* shape() const {
return detail::array_proxy(m_ptr)->dimensions;
}
/// Dimension along a given axis
ssize_t shape(ssize_t dim) const {
if (dim >= ndim())
fail_dim_check(dim, "invalid axis");
return shape()[dim];
}
/// Strides of the array
const ssize_t* strides() const {
return detail::array_proxy(m_ptr)->strides;
}
/// Stride along a given axis
ssize_t strides(ssize_t dim) const {
if (dim >= ndim())
fail_dim_check(dim, "invalid axis");
return strides()[dim];
}
/// Return the NumPy array flags
int flags() const {
return detail::array_proxy(m_ptr)->flags;
}
/// If set, the array is writeable (otherwise the buffer is read-only)
bool writeable() const {
return detail::check_flags(m_ptr, detail::npy_api::NPY_ARRAY_WRITEABLE_);
}
/// If set, the array owns the data (will be freed when the array is deleted)
bool owndata() const {
return detail::check_flags(m_ptr, detail::npy_api::NPY_ARRAY_OWNDATA_);
}
/// Pointer to the contained data. If index is not provided, points to the
/// beginning of the buffer. May throw if the index would lead to out of bounds access.
template<typename... Ix> const void* data(Ix... index) const {
return static_cast<const void *>(detail::array_proxy(m_ptr)->data + offset_at(index...));
}
/// Mutable pointer to the contained data. If index is not provided, points to the
/// beginning of the buffer. May throw if the index would lead to out of bounds access.
/// May throw if the array is not writeable.
template<typename... Ix> void* mutable_data(Ix... index) {
check_writeable();
return static_cast<void *>(detail::array_proxy(m_ptr)->data + offset_at(index...));
}
/// Byte offset from beginning of the array to a given index (full or partial).
/// May throw if the index would lead to out of bounds access.
template<typename... Ix> ssize_t offset_at(Ix... index) const {
if ((ssize_t) sizeof...(index) > ndim())
fail_dim_check(sizeof...(index), "too many indices for an array");
return byte_offset(ssize_t(index)...);
}
ssize_t offset_at() const { return 0; }
/// Item count from beginning of the array to a given index (full or partial).
/// May throw if the index would lead to out of bounds access.
template<typename... Ix> ssize_t index_at(Ix... index) const {
return offset_at(index...) / itemsize();
}
/**
* Returns a proxy object that provides access to the array's data without bounds or
* dimensionality checking. Will throw if the array is missing the `writeable` flag. Use with
* care: the array must not be destroyed or reshaped for the duration of the returned object,
* and the caller must take care not to access invalid dimensions or dimension indices.
*/
template <typename T, ssize_t Dims = -1> detail::unchecked_mutable_reference<T, Dims> mutable_unchecked() {
if (Dims >= 0 && ndim() != Dims)
throw std::domain_error("array has incorrect number of dimensions: " + std::to_string(ndim()) +
"; expected " + std::to_string(Dims));
return detail::unchecked_mutable_reference<T, Dims>(mutable_data(), shape(), strides(), ndim());
}
/**
* Returns a proxy object that provides const access to the array's data without bounds or
* dimensionality checking. Unlike `mutable_unchecked()`, this does not require that the
* underlying array have the `writable` flag. Use with care: the array must not be destroyed or
* reshaped for the duration of the returned object, and the caller must take care not to access
* invalid dimensions or dimension indices.
*/
template <typename T, ssize_t Dims = -1> detail::unchecked_reference<T, Dims> unchecked() const {
if (Dims >= 0 && ndim() != Dims)
throw std::domain_error("array has incorrect number of dimensions: " + std::to_string(ndim()) +
"; expected " + std::to_string(Dims));
return detail::unchecked_reference<T, Dims>(data(), shape(), strides(), ndim());
}
/// Return a new view with all of the dimensions of length 1 removed
array squeeze() {
auto& api = detail::npy_api::get();
return reinterpret_steal<array>(api.PyArray_Squeeze_(m_ptr));
}
/// Resize array to given shape
/// If refcheck is true and more that one reference exist to this array
/// then resize will succeed only if it makes a reshape, i.e. original size doesn't change
void resize(ShapeContainer new_shape, bool refcheck = true) {
detail::npy_api::PyArray_Dims d = {
new_shape->data(), int(new_shape->size())
};
// try to resize, set ordering param to -1 cause it's not used anyway
object new_array = reinterpret_steal<object>(
detail::npy_api::get().PyArray_Resize_(m_ptr, &d, int(refcheck), -1)
);
if (!new_array) throw error_already_set();
if (isinstance<array>(new_array)) { *this = std::move(new_array); }
}
/// Ensure that the argument is a NumPy array
/// In case of an error, nullptr is returned and the Python error is cleared.
static array ensure(handle h, int ExtraFlags = 0) {
auto result = reinterpret_steal<array>(raw_array(h.ptr(), ExtraFlags));
if (!result)
PyErr_Clear();
return result;
}
protected:
template<typename, typename> friend struct detail::npy_format_descriptor;
void fail_dim_check(ssize_t dim, const std::string& msg) const {
throw index_error(msg + ": " + std::to_string(dim) +
" (ndim = " + std::to_string(ndim()) + ")");
}
template<typename... Ix> ssize_t byte_offset(Ix... index) const {
check_dimensions(index...);
return detail::byte_offset_unsafe(strides(), ssize_t(index)...);
}
void check_writeable() const {
if (!writeable())
throw std::domain_error("array is not writeable");
}
// Default, C-style strides
static std::vector<ssize_t> c_strides(const std::vector<ssize_t> &shape, ssize_t itemsize) {
auto ndim = shape.size();
std::vector<ssize_t> strides(ndim, itemsize);
for (size_t i = ndim - 1; i > 0; --i)
strides[i - 1] = strides[i] * shape[i];
return strides;
}
// F-style strides; default when constructing an array_t with `ExtraFlags & f_style`
static std::vector<ssize_t> f_strides(const std::vector<ssize_t> &shape, ssize_t itemsize) {
auto ndim = shape.size();
std::vector<ssize_t> strides(ndim, itemsize);
for (size_t i = 1; i < ndim; ++i)
strides[i] = strides[i - 1] * shape[i - 1];
return strides;
}
template<typename... Ix> void check_dimensions(Ix... index) const {
check_dimensions_impl(ssize_t(0), shape(), ssize_t(index)...);
}
void check_dimensions_impl(ssize_t, const ssize_t*) const { }
template<typename... Ix> void check_dimensions_impl(ssize_t axis, const ssize_t* shape, ssize_t i, Ix... index) const {
if (i >= *shape) {
throw index_error(std::string("index ") + std::to_string(i) +
" is out of bounds for axis " + std::to_string(axis) +
" with size " + std::to_string(*shape));
}
check_dimensions_impl(axis + 1, shape + 1, index...);
}
/// Create array from any object -- always returns a new reference
static PyObject *raw_array(PyObject *ptr, int ExtraFlags = 0) {
if (ptr == nullptr) {
PyErr_SetString(PyExc_ValueError, "cannot create a pybind11::array from a nullptr");
return nullptr;
}
return detail::npy_api::get().PyArray_FromAny_(
ptr, nullptr, 0, 0, detail::npy_api::NPY_ARRAY_ENSUREARRAY_ | ExtraFlags, nullptr);
}
};
template <typename T, int ExtraFlags = array::forcecast> class array_t : public array {
private:
struct private_ctor {};
// Delegating constructor needed when both moving and accessing in the same constructor
array_t(private_ctor, ShapeContainer &&shape, StridesContainer &&strides, const T *ptr, handle base)
: array(std::move(shape), std::move(strides), ptr, base) {}
public:
static_assert(!detail::array_info<T>::is_array, "Array types cannot be used with array_t");
using value_type = T;
array_t() : array(0, static_cast<const T *>(nullptr)) {}
array_t(handle h, borrowed_t) : array(h, borrowed_t{}) { }
array_t(handle h, stolen_t) : array(h, stolen_t{}) { }
PYBIND11_DEPRECATED("Use array_t<T>::ensure() instead")
array_t(handle h, bool is_borrowed) : array(raw_array_t(h.ptr()), stolen_t{}) {
if (!m_ptr) PyErr_Clear();
if (!is_borrowed) Py_XDECREF(h.ptr());
}
array_t(const object &o) : array(raw_array_t(o.ptr()), stolen_t{}) {
if (!m_ptr) throw error_already_set();
}
explicit array_t(const buffer_info& info) : array(info) { }
array_t(ShapeContainer shape, StridesContainer strides, const T *ptr = nullptr, handle base = handle())
: array(std::move(shape), std::move(strides), ptr, base) { }
explicit array_t(ShapeContainer shape, const T *ptr = nullptr, handle base = handle())
: array_t(private_ctor{}, std::move(shape),
ExtraFlags & f_style ? f_strides(*shape, itemsize()) : c_strides(*shape, itemsize()),
ptr, base) { }
explicit array_t(size_t count, const T *ptr = nullptr, handle base = handle())
: array({count}, {}, ptr, base) { }
constexpr ssize_t itemsize() const {
return sizeof(T);
}
template<typename... Ix> ssize_t index_at(Ix... index) const {
return offset_at(index...) / itemsize();
}
template<typename... Ix> const T* data(Ix... index) const {
return static_cast<const T*>(array::data(index...));
}
template<typename... Ix> T* mutable_data(Ix... index) {
return static_cast<T*>(array::mutable_data(index...));
}
// Reference to element at a given index
template<typename... Ix> const T& at(Ix... index) const {
if (sizeof...(index) != ndim())
fail_dim_check(sizeof...(index), "index dimension mismatch");
return *(static_cast<const T*>(array::data()) + byte_offset(ssize_t(index)...) / itemsize());
}
// Mutable reference to element at a given index
template<typename... Ix> T& mutable_at(Ix... index) {
if (sizeof...(index) != ndim())
fail_dim_check(sizeof...(index), "index dimension mismatch");
return *(static_cast<T*>(array::mutable_data()) + byte_offset(ssize_t(index)...) / itemsize());
}
/**
* Returns a proxy object that provides access to the array's data without bounds or
* dimensionality checking. Will throw if the array is missing the `writeable` flag. Use with
* care: the array must not be destroyed or reshaped for the duration of the returned object,
* and the caller must take care not to access invalid dimensions or dimension indices.
*/
template <ssize_t Dims = -1> detail::unchecked_mutable_reference<T, Dims> mutable_unchecked() {
return array::mutable_unchecked<T, Dims>();
}
/**
* Returns a proxy object that provides const access to the array's data without bounds or
* dimensionality checking. Unlike `unchecked()`, this does not require that the underlying
* array have the `writable` flag. Use with care: the array must not be destroyed or reshaped
* for the duration of the returned object, and the caller must take care not to access invalid
* dimensions or dimension indices.
*/
template <ssize_t Dims = -1> detail::unchecked_reference<T, Dims> unchecked() const {
return array::unchecked<T, Dims>();
}
/// Ensure that the argument is a NumPy array of the correct dtype (and if not, try to convert
/// it). In case of an error, nullptr is returned and the Python error is cleared.
static array_t ensure(handle h) {
auto result = reinterpret_steal<array_t>(raw_array_t(h.ptr()));
if (!result)
PyErr_Clear();
return result;
}
static bool check_(handle h) {
const auto &api = detail::npy_api::get();
return api.PyArray_Check_(h.ptr())
&& api.PyArray_EquivTypes_(detail::array_proxy(h.ptr())->descr, dtype::of<T>().ptr());
}
protected:
/// Create array from any object -- always returns a new reference
static PyObject *raw_array_t(PyObject *ptr) {
if (ptr == nullptr) {
PyErr_SetString(PyExc_ValueError, "cannot create a pybind11::array_t from a nullptr");
return nullptr;
}
return detail::npy_api::get().PyArray_FromAny_(
ptr, dtype::of<T>().release().ptr(), 0, 0,
detail::npy_api::NPY_ARRAY_ENSUREARRAY_ | ExtraFlags, nullptr);
}
};
template <typename T>
struct format_descriptor<T, detail::enable_if_t<detail::is_pod_struct<T>::value>> {
static std::string format() {
return detail::npy_format_descriptor<typename std::remove_cv<T>::type>::format();
}
};
template <size_t N> struct format_descriptor<char[N]> {
static std::string format() { return std::to_string(N) + "s"; }
};
template <size_t N> struct format_descriptor<std::array<char, N>> {
static std::string format() { return std::to_string(N) + "s"; }
};
template <typename T>
struct format_descriptor<T, detail::enable_if_t<std::is_enum<T>::value>> {
static std::string format() {
return format_descriptor<
typename std::remove_cv<typename std::underlying_type<T>::type>::type>::format();
}
};
template <typename T>
struct format_descriptor<T, detail::enable_if_t<detail::array_info<T>::is_array>> {
static std::string format() {
using detail::_;
PYBIND11_DESCR extents = _("(") + detail::array_info<T>::extents() + _(")");
return extents.text() + format_descriptor<detail::remove_all_extents_t<T>>::format();
}
};
NAMESPACE_BEGIN(detail)
template <typename T, int ExtraFlags>
struct pyobject_caster<array_t<T, ExtraFlags>> {
using type = array_t<T, ExtraFlags>;
bool load(handle src, bool convert) {
if (!convert && !type::check_(src))
return false;
value = type::ensure(src);
return static_cast<bool>(value);
}
static handle cast(const handle &src, return_value_policy /* policy */, handle /* parent */) {
return src.inc_ref();
}
PYBIND11_TYPE_CASTER(type, handle_type_name<type>::name());
};
template <typename T>
struct compare_buffer_info<T, detail::enable_if_t<detail::is_pod_struct<T>::value>> {
static bool compare(const buffer_info& b) {
return npy_api::get().PyArray_EquivTypes_(dtype::of<T>().ptr(), dtype(b).ptr());
}
};
template <typename T> struct npy_format_descriptor<T, enable_if_t<satisfies_any_of<T, std::is_arithmetic, is_complex>::value>> {
private:
// NB: the order here must match the one in common.h
constexpr static const int values[15] = {
npy_api::NPY_BOOL_,
npy_api::NPY_BYTE_, npy_api::NPY_UBYTE_, npy_api::NPY_SHORT_, npy_api::NPY_USHORT_,
npy_api::NPY_INT_, npy_api::NPY_UINT_, npy_api::NPY_LONGLONG_, npy_api::NPY_ULONGLONG_,
npy_api::NPY_FLOAT_, npy_api::NPY_DOUBLE_, npy_api::NPY_LONGDOUBLE_,
npy_api::NPY_CFLOAT_, npy_api::NPY_CDOUBLE_, npy_api::NPY_CLONGDOUBLE_
};
public:
static constexpr int value = values[detail::is_fmt_numeric<T>::index];
static pybind11::dtype dtype() {
if (auto ptr = npy_api::get().PyArray_DescrFromType_(value))
return reinterpret_borrow<pybind11::dtype>(ptr);
pybind11_fail("Unsupported buffer format!");
}
template <typename T2 = T, enable_if_t<std::is_integral<T2>::value, int> = 0>
static PYBIND11_DESCR name() {
return _<std::is_same<T, bool>::value>(_("bool"),
_<std::is_signed<T>::value>("int", "uint") + _<sizeof(T)*8>());
}
template <typename T2 = T, enable_if_t<std::is_floating_point<T2>::value, int> = 0>
static PYBIND11_DESCR name() {
return _<std::is_same<T, float>::value || std::is_same<T, double>::value>(
_("float") + _<sizeof(T)*8>(), _("longdouble"));
}
template <typename T2 = T, enable_if_t<is_complex<T2>::value, int> = 0>
static PYBIND11_DESCR name() {
return _<std::is_same<typename T2::value_type, float>::value || std::is_same<typename T2::value_type, double>::value>(
_("complex") + _<sizeof(typename T2::value_type)*16>(), _("longcomplex"));
}
};
#define PYBIND11_DECL_CHAR_FMT \
static PYBIND11_DESCR name() { return _("S") + _<N>(); } \
static pybind11::dtype dtype() { return pybind11::dtype(std::string("S") + std::to_string(N)); }
template <size_t N> struct npy_format_descriptor<char[N]> { PYBIND11_DECL_CHAR_FMT };
template <size_t N> struct npy_format_descriptor<std::array<char, N>> { PYBIND11_DECL_CHAR_FMT };
#undef PYBIND11_DECL_CHAR_FMT
template<typename T> struct npy_format_descriptor<T, enable_if_t<array_info<T>::is_array>> {
private:
using base_descr = npy_format_descriptor<typename array_info<T>::type>;
public:
static_assert(!array_info<T>::is_empty, "Zero-sized arrays are not supported");
static PYBIND11_DESCR name() { return _("(") + array_info<T>::extents() + _(")") + base_descr::name(); }
static pybind11::dtype dtype() {
list shape;
array_info<T>::append_extents(shape);
return pybind11::dtype::from_args(pybind11::make_tuple(base_descr::dtype(), shape));
}
};
template<typename T> struct npy_format_descriptor<T, enable_if_t<std::is_enum<T>::value>> {
private:
using base_descr = npy_format_descriptor<typename std::underlying_type<T>::type>;
public:
static PYBIND11_DESCR name() { return base_descr::name(); }
static pybind11::dtype dtype() { return base_descr::dtype(); }
};
struct field_descriptor {
const char *name;
ssize_t offset;
ssize_t size;
std::string format;
dtype descr;
};
inline PYBIND11_NOINLINE void register_structured_dtype(
const std::initializer_list<field_descriptor>& fields,
const std::type_info& tinfo, ssize_t itemsize,
bool (*direct_converter)(PyObject *, void *&)) {
auto& numpy_internals = get_numpy_internals();
if (numpy_internals.get_type_info(tinfo, false))
pybind11_fail("NumPy: dtype is already registered");
list names, formats, offsets;
for (auto field : fields) {
if (!field.descr)
pybind11_fail(std::string("NumPy: unsupported field dtype: `") +
field.name + "` @ " + tinfo.name());
names.append(PYBIND11_STR_TYPE(field.name));
formats.append(field.descr);
offsets.append(pybind11::int_(field.offset));
}
auto dtype_ptr = pybind11::dtype(names, formats, offsets, itemsize).release().ptr();
// There is an existing bug in NumPy (as of v1.11): trailing bytes are
// not encoded explicitly into the format string. This will supposedly
// get fixed in v1.12; for further details, see these:
// - https://github.com/numpy/numpy/issues/7797
// - https://github.com/numpy/numpy/pull/7798
// Because of this, we won't use numpy's logic to generate buffer format
// strings and will just do it ourselves.
std::vector<field_descriptor> ordered_fields(fields);
std::sort(ordered_fields.begin(), ordered_fields.end(),
[](const field_descriptor &a, const field_descriptor &b) { return a.offset < b.offset; });
ssize_t offset = 0;
std::ostringstream oss;
// mark the structure as unaligned with '^', because numpy and C++ don't
// always agree about alignment (particularly for complex), and we're
// explicitly listing all our padding. This depends on none of the fields
// overriding the endianness. Putting the ^ in front of individual fields
// isn't guaranteed to work due to https://github.com/numpy/numpy/issues/9049
oss << "^T{";
for (auto& field : ordered_fields) {
if (field.offset > offset)
oss << (field.offset - offset) << 'x';
oss << field.format << ':' << field.name << ':';
offset = field.offset + field.size;
}
if (itemsize > offset)
oss << (itemsize - offset) << 'x';
oss << '}';
auto format_str = oss.str();
// Sanity check: verify that NumPy properly parses our buffer format string
auto& api = npy_api::get();
auto arr = array(buffer_info(nullptr, itemsize, format_str, 1));
if (!api.PyArray_EquivTypes_(dtype_ptr, arr.dtype().ptr()))
pybind11_fail("NumPy: invalid buffer descriptor!");
auto tindex = std::type_index(tinfo);
numpy_internals.registered_dtypes[tindex] = { dtype_ptr, format_str };
get_internals().direct_conversions[tindex].push_back(direct_converter);
}
template <typename T, typename SFINAE> struct npy_format_descriptor {
static_assert(is_pod_struct<T>::value, "Attempt to use a non-POD or unimplemented POD type as a numpy dtype");
static PYBIND11_DESCR name() { return make_caster<T>::name(); }
static pybind11::dtype dtype() {
return reinterpret_borrow<pybind11::dtype>(dtype_ptr());
}
static std::string format() {
static auto format_str = get_numpy_internals().get_type_info<T>(true)->format_str;
return format_str;
}
static void register_dtype(const std::initializer_list<field_descriptor>& fields) {
register_structured_dtype(fields, typeid(typename std::remove_cv<T>::type),
sizeof(T), &direct_converter);
}
private:
static PyObject* dtype_ptr() {
static PyObject* ptr = get_numpy_internals().get_type_info<T>(true)->dtype_ptr;
return ptr;
}
static bool direct_converter(PyObject *obj, void*& value) {
auto& api = npy_api::get();
if (!PyObject_TypeCheck(obj, api.PyVoidArrType_Type_))
return false;
if (auto descr = reinterpret_steal<object>(api.PyArray_DescrFromScalar_(obj))) {
if (api.PyArray_EquivTypes_(dtype_ptr(), descr.ptr())) {
value = ((PyVoidScalarObject_Proxy *) obj)->obval;
return true;
}
}
return false;
}
};
#ifdef __CLION_IDE__ // replace heavy macro with dummy code for the IDE (doesn't affect code)
# define PYBIND11_NUMPY_DTYPE(Type, ...) ((void)0)
# define PYBIND11_NUMPY_DTYPE_EX(Type, ...) ((void)0)
#else
#define PYBIND11_FIELD_DESCRIPTOR_EX(T, Field, Name) \
::pybind11::detail::field_descriptor { \
Name, offsetof(T, Field), sizeof(decltype(std::declval<T>().Field)), \
::pybind11::format_descriptor<decltype(std::declval<T>().Field)>::format(), \
::pybind11::detail::npy_format_descriptor<decltype(std::declval<T>().Field)>::dtype() \
}
// Extract name, offset and format descriptor for a struct field
#define PYBIND11_FIELD_DESCRIPTOR(T, Field) PYBIND11_FIELD_DESCRIPTOR_EX(T, Field, #Field)
// The main idea of this macro is borrowed from https://github.com/swansontec/map-macro
// (C) William Swanson, Paul Fultz
#define PYBIND11_EVAL0(...) __VA_ARGS__
#define PYBIND11_EVAL1(...) PYBIND11_EVAL0 (PYBIND11_EVAL0 (PYBIND11_EVAL0 (__VA_ARGS__)))
#define PYBIND11_EVAL2(...) PYBIND11_EVAL1 (PYBIND11_EVAL1 (PYBIND11_EVAL1 (__VA_ARGS__)))
#define PYBIND11_EVAL3(...) PYBIND11_EVAL2 (PYBIND11_EVAL2 (PYBIND11_EVAL2 (__VA_ARGS__)))
#define PYBIND11_EVAL4(...) PYBIND11_EVAL3 (PYBIND11_EVAL3 (PYBIND11_EVAL3 (__VA_ARGS__)))
#define PYBIND11_EVAL(...) PYBIND11_EVAL4 (PYBIND11_EVAL4 (PYBIND11_EVAL4 (__VA_ARGS__)))
#define PYBIND11_MAP_END(...)
#define PYBIND11_MAP_OUT
#define PYBIND11_MAP_COMMA ,
#define PYBIND11_MAP_GET_END() 0, PYBIND11_MAP_END
#define PYBIND11_MAP_NEXT0(test, next, ...) next PYBIND11_MAP_OUT
#define PYBIND11_MAP_NEXT1(test, next) PYBIND11_MAP_NEXT0 (test, next, 0)
#define PYBIND11_MAP_NEXT(test, next) PYBIND11_MAP_NEXT1 (PYBIND11_MAP_GET_END test, next)
#ifdef _MSC_VER // MSVC is not as eager to expand macros, hence this workaround
#define PYBIND11_MAP_LIST_NEXT1(test, next) \
PYBIND11_EVAL0 (PYBIND11_MAP_NEXT0 (test, PYBIND11_MAP_COMMA next, 0))
#else
#define PYBIND11_MAP_LIST_NEXT1(test, next) \
PYBIND11_MAP_NEXT0 (test, PYBIND11_MAP_COMMA next, 0)
#endif
#define PYBIND11_MAP_LIST_NEXT(test, next) \
PYBIND11_MAP_LIST_NEXT1 (PYBIND11_MAP_GET_END test, next)
#define PYBIND11_MAP_LIST0(f, t, x, peek, ...) \
f(t, x) PYBIND11_MAP_LIST_NEXT (peek, PYBIND11_MAP_LIST1) (f, t, peek, __VA_ARGS__)
#define PYBIND11_MAP_LIST1(f, t, x, peek, ...) \
f(t, x) PYBIND11_MAP_LIST_NEXT (peek, PYBIND11_MAP_LIST0) (f, t, peek, __VA_ARGS__)
// PYBIND11_MAP_LIST(f, t, a1, a2, ...) expands to f(t, a1), f(t, a2), ...
#define PYBIND11_MAP_LIST(f, t, ...) \
PYBIND11_EVAL (PYBIND11_MAP_LIST1 (f, t, __VA_ARGS__, (), 0))
#define PYBIND11_NUMPY_DTYPE(Type, ...) \
::pybind11::detail::npy_format_descriptor<Type>::register_dtype \
({PYBIND11_MAP_LIST (PYBIND11_FIELD_DESCRIPTOR, Type, __VA_ARGS__)})
#ifdef _MSC_VER
#define PYBIND11_MAP2_LIST_NEXT1(test, next) \
PYBIND11_EVAL0 (PYBIND11_MAP_NEXT0 (test, PYBIND11_MAP_COMMA next, 0))
#else
#define PYBIND11_MAP2_LIST_NEXT1(test, next) \
PYBIND11_MAP_NEXT0 (test, PYBIND11_MAP_COMMA next, 0)
#endif
#define PYBIND11_MAP2_LIST_NEXT(test, next) \
PYBIND11_MAP2_LIST_NEXT1 (PYBIND11_MAP_GET_END test, next)
#define PYBIND11_MAP2_LIST0(f, t, x1, x2, peek, ...) \
f(t, x1, x2) PYBIND11_MAP2_LIST_NEXT (peek, PYBIND11_MAP2_LIST1) (f, t, peek, __VA_ARGS__)
#define PYBIND11_MAP2_LIST1(f, t, x1, x2, peek, ...) \
f(t, x1, x2) PYBIND11_MAP2_LIST_NEXT (peek, PYBIND11_MAP2_LIST0) (f, t, peek, __VA_ARGS__)
// PYBIND11_MAP2_LIST(f, t, a1, a2, ...) expands to f(t, a1, a2), f(t, a3, a4), ...
#define PYBIND11_MAP2_LIST(f, t, ...) \
PYBIND11_EVAL (PYBIND11_MAP2_LIST1 (f, t, __VA_ARGS__, (), 0))
#define PYBIND11_NUMPY_DTYPE_EX(Type, ...) \
::pybind11::detail::npy_format_descriptor<Type>::register_dtype \
({PYBIND11_MAP2_LIST (PYBIND11_FIELD_DESCRIPTOR_EX, Type, __VA_ARGS__)})
#endif // __CLION_IDE__
template <class T>
using array_iterator = typename std::add_pointer<T>::type;
template <class T>
array_iterator<T> array_begin(const buffer_info& buffer) {
return array_iterator<T>(reinterpret_cast<T*>(buffer.ptr));
}
template <class T>
array_iterator<T> array_end(const buffer_info& buffer) {
return array_iterator<T>(reinterpret_cast<T*>(buffer.ptr) + buffer.size);
}
class common_iterator {
public:
using container_type = std::vector<ssize_t>;
using value_type = container_type::value_type;
using size_type = container_type::size_type;
common_iterator() : p_ptr(0), m_strides() {}
common_iterator(void* ptr, const container_type& strides, const container_type& shape)
: p_ptr(reinterpret_cast<char*>(ptr)), m_strides(strides.size()) {
m_strides.back() = static_cast<value_type>(strides.back());
for (size_type i = m_strides.size() - 1; i != 0; --i) {
size_type j = i - 1;
value_type s = static_cast<value_type>(shape[i]);
m_strides[j] = strides[j] + m_strides[i] - strides[i] * s;
}
}
void increment(size_type dim) {
p_ptr += m_strides[dim];
}
void* data() const {
return p_ptr;
}
private:
char* p_ptr;
container_type m_strides;
};
template <size_t N> class multi_array_iterator {
public:
using container_type = std::vector<ssize_t>;
multi_array_iterator(const std::array<buffer_info, N> &buffers,
const container_type &shape)
: m_shape(shape.size()), m_index(shape.size(), 0),
m_common_iterator() {
// Manual copy to avoid conversion warning if using std::copy
for (size_t i = 0; i < shape.size(); ++i)
m_shape[i] = shape[i];
container_type strides(shape.size());
for (size_t i = 0; i < N; ++i)
init_common_iterator(buffers[i], shape, m_common_iterator[i], strides);
}
multi_array_iterator& operator++() {
for (size_t j = m_index.size(); j != 0; --j) {
size_t i = j - 1;
if (++m_index[i] != m_shape[i]) {
increment_common_iterator(i);
break;
} else {
m_index[i] = 0;
}
}
return *this;
}
template <size_t K, class T = void> T* data() const {
return reinterpret_cast<T*>(m_common_iterator[K].data());
}
private:
using common_iter = common_iterator;
void init_common_iterator(const buffer_info &buffer,
const container_type &shape,
common_iter &iterator,
container_type &strides) {
auto buffer_shape_iter = buffer.shape.rbegin();
auto buffer_strides_iter = buffer.strides.rbegin();
auto shape_iter = shape.rbegin();
auto strides_iter = strides.rbegin();
while (buffer_shape_iter != buffer.shape.rend()) {
if (*shape_iter == *buffer_shape_iter)
*strides_iter = *buffer_strides_iter;
else
*strides_iter = 0;
++buffer_shape_iter;
++buffer_strides_iter;
++shape_iter;
++strides_iter;
}
std::fill(strides_iter, strides.rend(), 0);
iterator = common_iter(buffer.ptr, strides, shape);
}
void increment_common_iterator(size_t dim) {
for (auto &iter : m_common_iterator)
iter.increment(dim);
}
container_type m_shape;
container_type m_index;
std::array<common_iter, N> m_common_iterator;
};
enum class broadcast_trivial { non_trivial, c_trivial, f_trivial };
// Populates the shape and number of dimensions for the set of buffers. Returns a broadcast_trivial
// enum value indicating whether the broadcast is "trivial"--that is, has each buffer being either a
// singleton or a full-size, C-contiguous (`c_trivial`) or Fortran-contiguous (`f_trivial`) storage
// buffer; returns `non_trivial` otherwise.
template <size_t N>
broadcast_trivial broadcast(const std::array<buffer_info, N> &buffers, ssize_t &ndim, std::vector<ssize_t> &shape) {
ndim = std::accumulate(buffers.begin(), buffers.end(), ssize_t(0), [](ssize_t res, const buffer_info &buf) {
return std::max(res, buf.ndim);
});
shape.clear();
shape.resize((size_t) ndim, 1);
// Figure out the output size, and make sure all input arrays conform (i.e. are either size 1 or
// the full size).
for (size_t i = 0; i < N; ++i) {
auto res_iter = shape.rbegin();
auto end = buffers[i].shape.rend();
for (auto shape_iter = buffers[i].shape.rbegin(); shape_iter != end; ++shape_iter, ++res_iter) {
const auto &dim_size_in = *shape_iter;
auto &dim_size_out = *res_iter;
// Each input dimension can either be 1 or `n`, but `n` values must match across buffers
if (dim_size_out == 1)
dim_size_out = dim_size_in;
else if (dim_size_in != 1 && dim_size_in != dim_size_out)
pybind11_fail("pybind11::vectorize: incompatible size/dimension of inputs!");
}
}
bool trivial_broadcast_c = true;
bool trivial_broadcast_f = true;
for (size_t i = 0; i < N && (trivial_broadcast_c || trivial_broadcast_f); ++i) {
if (buffers[i].size == 1)
continue;
// Require the same number of dimensions:
if (buffers[i].ndim != ndim)
return broadcast_trivial::non_trivial;
// Require all dimensions be full-size:
if (!std::equal(buffers[i].shape.cbegin(), buffers[i].shape.cend(), shape.cbegin()))
return broadcast_trivial::non_trivial;
// Check for C contiguity (but only if previous inputs were also C contiguous)
if (trivial_broadcast_c) {
ssize_t expect_stride = buffers[i].itemsize;
auto end = buffers[i].shape.crend();
for (auto shape_iter = buffers[i].shape.crbegin(), stride_iter = buffers[i].strides.crbegin();
trivial_broadcast_c && shape_iter != end; ++shape_iter, ++stride_iter) {
if (expect_stride == *stride_iter)
expect_stride *= *shape_iter;
else
trivial_broadcast_c = false;
}
}
// Check for Fortran contiguity (if previous inputs were also F contiguous)
if (trivial_broadcast_f) {
ssize_t expect_stride = buffers[i].itemsize;
auto end = buffers[i].shape.cend();
for (auto shape_iter = buffers[i].shape.cbegin(), stride_iter = buffers[i].strides.cbegin();
trivial_broadcast_f && shape_iter != end; ++shape_iter, ++stride_iter) {
if (expect_stride == *stride_iter)
expect_stride *= *shape_iter;
else
trivial_broadcast_f = false;
}
}
}
return
trivial_broadcast_c ? broadcast_trivial::c_trivial :
trivial_broadcast_f ? broadcast_trivial::f_trivial :
broadcast_trivial::non_trivial;
}
template <typename T>
struct vectorize_arg {
static_assert(!std::is_rvalue_reference<T>::value, "Functions with rvalue reference arguments cannot be vectorized");
// The wrapped function gets called with this type:
using call_type = remove_reference_t<T>;
// Is this a vectorized argument?
static constexpr bool vectorize =
satisfies_any_of<call_type, std::is_arithmetic, is_complex, std::is_pod>::value &&
satisfies_none_of<call_type, std::is_pointer, std::is_array, is_std_array, std::is_enum>::value &&
(!std::is_reference<T>::value ||
(std::is_lvalue_reference<T>::value && std::is_const<call_type>::value));
// Accept this type: an array for vectorized types, otherwise the type as-is:
using type = conditional_t<vectorize, array_t<remove_cv_t<call_type>, array::forcecast>, T>;
};
template <typename Func, typename Return, typename... Args>
struct vectorize_helper {
private:
static constexpr size_t N = sizeof...(Args);
static constexpr size_t NVectorized = constexpr_sum(vectorize_arg<Args>::vectorize...);
static_assert(NVectorized >= 1,
"pybind11::vectorize(...) requires a function with at least one vectorizable argument");
public:
template <typename T>
explicit vectorize_helper(T &&f) : f(std::forward<T>(f)) { }
object operator()(typename vectorize_arg<Args>::type... args) {
return run(args...,
make_index_sequence<N>(),
select_indices<vectorize_arg<Args>::vectorize...>(),
make_index_sequence<NVectorized>());
}
private:
remove_reference_t<Func> f;
template <size_t Index> using param_n_t = typename pack_element<Index, typename vectorize_arg<Args>::call_type...>::type;
// Runs a vectorized function given arguments tuple and three index sequences:
// - Index is the full set of 0 ... (N-1) argument indices;
// - VIndex is the subset of argument indices with vectorized parameters, letting us access
// vectorized arguments (anything not in this sequence is passed through)
// - BIndex is a incremental sequence (beginning at 0) of the same size as VIndex, so that
// we can store vectorized buffer_infos in an array (argument VIndex has its buffer at
// index BIndex in the array).
template <size_t... Index, size_t... VIndex, size_t... BIndex> object run(
typename vectorize_arg<Args>::type &...args,
index_sequence<Index...> i_seq, index_sequence<VIndex...> vi_seq, index_sequence<BIndex...> bi_seq) {
// Pointers to values the function was called with; the vectorized ones set here will start
// out as array_t<T> pointers, but they will be changed them to T pointers before we make
// call the wrapped function. Non-vectorized pointers are left as-is.
std::array<void *, N> params{{ &args... }};
// The array of `buffer_info`s of vectorized arguments:
std::array<buffer_info, NVectorized> buffers{{ reinterpret_cast<array *>(params[VIndex])->request()... }};
/* Determine dimensions parameters of output array */
ssize_t nd = 0;
std::vector<ssize_t> shape(0);
auto trivial = broadcast(buffers, nd, shape);
size_t ndim = (size_t) nd;
size_t size = std::accumulate(shape.begin(), shape.end(), (size_t) 1, std::multiplies<size_t>());
// If all arguments are 0-dimension arrays (i.e. single values) return a plain value (i.e.
// not wrapped in an array).
if (size == 1 && ndim == 0) {
PYBIND11_EXPAND_SIDE_EFFECTS(params[VIndex] = buffers[BIndex].ptr);
return cast(f(*reinterpret_cast<param_n_t<Index> *>(params[Index])...));
}
array_t<Return> result;
if (trivial == broadcast_trivial::f_trivial) result = array_t<Return, array::f_style>(shape);
else result = array_t<Return>(shape);
if (size == 0) return result;
/* Call the function */
if (trivial == broadcast_trivial::non_trivial)
apply_broadcast(buffers, params, result, i_seq, vi_seq, bi_seq);
else
apply_trivial(buffers, params, result.mutable_data(), size, i_seq, vi_seq, bi_seq);
return result;
}
template <size_t... Index, size_t... VIndex, size_t... BIndex>
void apply_trivial(std::array<buffer_info, NVectorized> &buffers,
std::array<void *, N> &params,
Return *out,
size_t size,
index_sequence<Index...>, index_sequence<VIndex...>, index_sequence<BIndex...>) {
// Initialize an array of mutable byte references and sizes with references set to the
// appropriate pointer in `params`; as we iterate, we'll increment each pointer by its size
// (except for singletons, which get an increment of 0).
std::array<std::pair<unsigned char *&, const size_t>, NVectorized> vecparams{{
std::pair<unsigned char *&, const size_t>(
reinterpret_cast<unsigned char *&>(params[VIndex] = buffers[BIndex].ptr),
buffers[BIndex].size == 1 ? 0 : sizeof(param_n_t<VIndex>)
)...
}};
for (size_t i = 0; i < size; ++i) {
out[i] = f(*reinterpret_cast<param_n_t<Index> *>(params[Index])...);
for (auto &x : vecparams) x.first += x.second;
}
}
template <size_t... Index, size_t... VIndex, size_t... BIndex>
void apply_broadcast(std::array<buffer_info, NVectorized> &buffers,
std::array<void *, N> &params,
array_t<Return> &output_array,
index_sequence<Index...>, index_sequence<VIndex...>, index_sequence<BIndex...>) {
buffer_info output = output_array.request();
multi_array_iterator<NVectorized> input_iter(buffers, output.shape);
for (array_iterator<Return> iter = array_begin<Return>(output), end = array_end<Return>(output);
iter != end;
++iter, ++input_iter) {
PYBIND11_EXPAND_SIDE_EFFECTS((
params[VIndex] = input_iter.template data<BIndex>()
));
*iter = f(*reinterpret_cast<param_n_t<Index> *>(std::get<Index>(params))...);
}
}
};
template <typename Func, typename Return, typename... Args>
vectorize_helper<Func, Return, Args...>
vectorize_extractor(const Func &f, Return (*) (Args ...)) {
return detail::vectorize_helper<Func, Return, Args...>(f);
}
template <typename T, int Flags> struct handle_type_name<array_t<T, Flags>> {
static PYBIND11_DESCR name() {
return _("numpy.ndarray[") + npy_format_descriptor<T>::name() + _("]");
}
};
NAMESPACE_END(detail)
// Vanilla pointer vectorizer:
template <typename Return, typename... Args>
detail::vectorize_helper<Return (*)(Args...), Return, Args...>
vectorize(Return (*f) (Args ...)) {
return detail::vectorize_helper<Return (*)(Args...), Return, Args...>(f);
}
// lambda vectorizer:
template <typename Func, typename FuncType = typename detail::remove_class<decltype(&detail::remove_reference_t<Func>::operator())>::type>
auto vectorize(Func &&f) -> decltype(
detail::vectorize_extractor(std::forward<Func>(f), (FuncType *) nullptr)) {
return detail::vectorize_extractor(std::forward<Func>(f), (FuncType *) nullptr);
}
// Vectorize a class method (non-const):
template <typename Return, typename Class, typename... Args,
typename Helper = detail::vectorize_helper<decltype(std::mem_fn(std::declval<Return (Class::*)(Args...)>())), Return, Class *, Args...>>
Helper vectorize(Return (Class::*f)(Args...)) {
return Helper(std::mem_fn(f));
}
// Vectorize a class method (non-const):
template <typename Return, typename Class, typename... Args,
typename Helper = detail::vectorize_helper<decltype(std::mem_fn(std::declval<Return (Class::*)(Args...) const>())), Return, const Class *, Args...>>
Helper vectorize(Return (Class::*f)(Args...) const) {
return Helper(std::mem_fn(f));
}
NAMESPACE_END(pybind11)
#if defined(_MSC_VER)
#pragma warning(pop)
#endif
ppocr/postprocess/lanms/include/pybind11/operators.h 0 → 100644
View file @ b0171a71
/*
pybind11/operator.h: Metatemplates for operator overloading
Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include "pybind11.h"
#if defined(__clang__) && !defined(__INTEL_COMPILER)
# pragma clang diagnostic ignored "-Wunsequenced" // multiple unsequenced modifications to 'self' (when using def(py::self OP Type()))
#elif defined(_MSC_VER)
# pragma warning(push)
# pragma warning(disable: 4127) // warning C4127: Conditional expression is constant
#endif
NAMESPACE_BEGIN(pybind11)
NAMESPACE_BEGIN(detail)
/// Enumeration with all supported operator types
enum op_id : int {
op_add, op_sub, op_mul, op_div, op_mod, op_divmod, op_pow, op_lshift,
op_rshift, op_and, op_xor, op_or, op_neg, op_pos, op_abs, op_invert,
op_int, op_long, op_float, op_str, op_cmp, op_gt, op_ge, op_lt, op_le,
op_eq, op_ne, op_iadd, op_isub, op_imul, op_idiv, op_imod, op_ilshift,
op_irshift, op_iand, op_ixor, op_ior, op_complex, op_bool, op_nonzero,
op_repr, op_truediv, op_itruediv
};
enum op_type : int {
op_l, /* base type on left */
op_r, /* base type on right */
op_u /* unary operator */
};
struct self_t { };
static const self_t self = self_t();
/// Type for an unused type slot
struct undefined_t { };
/// Don't warn about an unused variable
inline self_t __self() { return self; }
/// base template of operator implementations
template <op_id, op_type, typename B, typename L, typename R> struct op_impl { };
/// Operator implementation generator
template <op_id id, op_type ot, typename L, typename R> struct op_ {
template <typename Class, typename... Extra> void execute(Class &cl, const Extra&... extra) const {
using Base = typename Class::type;
using L_type = conditional_t<std::is_same<L, self_t>::value, Base, L>;
using R_type = conditional_t<std::is_same<R, self_t>::value, Base, R>;
using op = op_impl<id, ot, Base, L_type, R_type>;
cl.def(op::name(), &op::execute, is_operator(), extra...);
#if PY_MAJOR_VERSION < 3
if (id == op_truediv || id == op_itruediv)
cl.def(id == op_itruediv ? "__idiv__" : ot == op_l ? "__div__" : "__rdiv__",
&op::execute, is_operator(), extra...);
#endif
}
template <typename Class, typename... Extra> void execute_cast(Class &cl, const Extra&... extra) const {
using Base = typename Class::type;
using L_type = conditional_t<std::is_same<L, self_t>::value, Base, L>;
using R_type = conditional_t<std::is_same<R, self_t>::value, Base, R>;
using op = op_impl<id, ot, Base, L_type, R_type>;
cl.def(op::name(), &op::execute_cast, is_operator(), extra...);
#if PY_MAJOR_VERSION < 3
if (id == op_truediv || id == op_itruediv)
cl.def(id == op_itruediv ? "__idiv__" : ot == op_l ? "__div__" : "__rdiv__",
&op::execute, is_operator(), extra...);
#endif
}
};
#define PYBIND11_BINARY_OPERATOR(id, rid, op, expr) \
template <typename B, typename L, typename R> struct op_impl<op_##id, op_l, B, L, R> { \
static char const* name() { return "__" #id "__"; } \
static auto execute(const L &l, const R &r) -> decltype(expr) { return (expr); } \
static B execute_cast(const L &l, const R &r) { return B(expr); } \
}; \
template <typename B, typename L, typename R> struct op_impl<op_##id, op_r, B, L, R> { \
static char const* name() { return "__" #rid "__"; } \
static auto execute(const R &r, const L &l) -> decltype(expr) { return (expr); } \
static B execute_cast(const R &r, const L &l) { return B(expr); } \
}; \
inline op_<op_##id, op_l, self_t, self_t> op(const self_t &, const self_t &) { \
return op_<op_##id, op_l, self_t, self_t>(); \
} \
template <typename T> op_<op_##id, op_l, self_t, T> op(const self_t &, const T &) { \
return op_<op_##id, op_l, self_t, T>(); \
} \
template <typename T> op_<op_##id, op_r, T, self_t> op(const T &, const self_t &) { \
return op_<op_##id, op_r, T, self_t>(); \
}
#define PYBIND11_INPLACE_OPERATOR(id, op, expr) \
template <typename B, typename L, typename R> struct op_impl<op_##id, op_l, B, L, R> { \
static char const* name() { return "__" #id "__"; } \
static auto execute(L &l, const R &r) -> decltype(expr) { return expr; } \
static B execute_cast(L &l, const R &r) { return B(expr); } \
}; \
template <typename T> op_<op_##id, op_l, self_t, T> op(const self_t &, const T &) { \
return op_<op_##id, op_l, self_t, T>(); \
}
#define PYBIND11_UNARY_OPERATOR(id, op, expr) \
template <typename B, typename L> struct op_impl<op_##id, op_u, B, L, undefined_t> { \
static char const* name() { return "__" #id "__"; } \
static auto execute(const L &l) -> decltype(expr) { return expr; } \
static B execute_cast(const L &l) { return B(expr); } \
}; \
inline op_<op_##id, op_u, self_t, undefined_t> op(const self_t &) { \
return op_<op_##id, op_u, self_t, undefined_t>(); \
}
PYBIND11_BINARY_OPERATOR(sub, rsub, operator-, l - r)
PYBIND11_BINARY_OPERATOR(add, radd, operator+, l + r)
PYBIND11_BINARY_OPERATOR(mul, rmul, operator*, l * r)
PYBIND11_BINARY_OPERATOR(truediv, rtruediv, operator/, l / r)
PYBIND11_BINARY_OPERATOR(mod, rmod, operator%, l % r)
PYBIND11_BINARY_OPERATOR(lshift, rlshift, operator<<, l << r)
PYBIND11_BINARY_OPERATOR(rshift, rrshift, operator>>, l >> r)
PYBIND11_BINARY_OPERATOR(and, rand, operator&, l & r)
PYBIND11_BINARY_OPERATOR(xor, rxor, operator^, l ^ r)
PYBIND11_BINARY_OPERATOR(eq, eq, operator==, l == r)
PYBIND11_BINARY_OPERATOR(ne, ne, operator!=, l != r)
PYBIND11_BINARY_OPERATOR(or, ror, operator|, l | r)
PYBIND11_BINARY_OPERATOR(gt, lt, operator>, l > r)
PYBIND11_BINARY_OPERATOR(ge, le, operator>=, l >= r)
PYBIND11_BINARY_OPERATOR(lt, gt, operator<, l < r)
PYBIND11_BINARY_OPERATOR(le, ge, operator<=, l <= r)
//PYBIND11_BINARY_OPERATOR(pow, rpow, pow, std::pow(l, r))
PYBIND11_INPLACE_OPERATOR(iadd, operator+=, l += r)
PYBIND11_INPLACE_OPERATOR(isub, operator-=, l -= r)
PYBIND11_INPLACE_OPERATOR(imul, operator*=, l *= r)
PYBIND11_INPLACE_OPERATOR(itruediv, operator/=, l /= r)
PYBIND11_INPLACE_OPERATOR(imod, operator%=, l %= r)
PYBIND11_INPLACE_OPERATOR(ilshift, operator<<=, l <<= r)
PYBIND11_INPLACE_OPERATOR(irshift, operator>>=, l >>= r)
PYBIND11_INPLACE_OPERATOR(iand, operator&=, l &= r)
PYBIND11_INPLACE_OPERATOR(ixor, operator^=, l ^= r)
PYBIND11_INPLACE_OPERATOR(ior, operator|=, l |= r)
PYBIND11_UNARY_OPERATOR(neg, operator-, -l)
PYBIND11_UNARY_OPERATOR(pos, operator+, +l)
PYBIND11_UNARY_OPERATOR(abs, abs, std::abs(l))
PYBIND11_UNARY_OPERATOR(invert, operator~, (~l))
PYBIND11_UNARY_OPERATOR(bool, operator!, !!l)
PYBIND11_UNARY_OPERATOR(int, int_, (int) l)
PYBIND11_UNARY_OPERATOR(float, float_, (double) l)
#undef PYBIND11_BINARY_OPERATOR
#undef PYBIND11_INPLACE_OPERATOR
#undef PYBIND11_UNARY_OPERATOR
NAMESPACE_END(detail)
using detail::self;
NAMESPACE_END(pybind11)
#if defined(_MSC_VER)
# pragma warning(pop)
#endif
ppocr/postprocess/lanms/include/pybind11/options.h 0 → 100644
View file @ b0171a71
/*
pybind11/options.h: global settings that are configurable at runtime.
Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include "common.h"
NAMESPACE_BEGIN(pybind11)
class options {
public:
// Default RAII constructor, which leaves settings as they currently are.
options() : previous_state(global_state()) {}
// Class is non-copyable.
options(const options&) = delete;
options& operator=(const options&) = delete;
// Destructor, which restores settings that were in effect before.
~options() {
global_state() = previous_state;
}
// Setter methods (affect the global state):
options& disable_user_defined_docstrings() & { global_state().show_user_defined_docstrings = false; return *this; }
options& enable_user_defined_docstrings() & { global_state().show_user_defined_docstrings = true; return *this; }
options& disable_function_signatures() & { global_state().show_function_signatures = false; return *this; }
options& enable_function_signatures() & { global_state().show_function_signatures = true; return *this; }
// Getter methods (return the global state):
static bool show_user_defined_docstrings() { return global_state().show_user_defined_docstrings; }
static bool show_function_signatures() { return global_state().show_function_signatures; }
// This type is not meant to be allocated on the heap.
void* operator new(size_t) = delete;
private:
struct state {
bool show_user_defined_docstrings = true; //< Include user-supplied texts in docstrings.
bool show_function_signatures = true; //< Include auto-generated function signatures in docstrings.
};
static state &global_state() {
static state instance;
return instance;
}
state previous_state;
};
NAMESPACE_END(pybind11)
ppocr/postprocess/lanms/include/pybind11/pybind11.h 0 → 100644
View file @ b0171a71
/*
pybind11/pybind11.h: Main header file of the C++11 python
binding generator library
Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#if defined(_MSC_VER)
# pragma warning(push)
# pragma warning(disable: 4100) // warning C4100: Unreferenced formal parameter
# pragma warning(disable: 4127) // warning C4127: Conditional expression is constant
# pragma warning(disable: 4512) // warning C4512: Assignment operator was implicitly defined as deleted
# pragma warning(disable: 4800) // warning C4800: 'int': forcing value to bool 'true' or 'false' (performance warning)
# pragma warning(disable: 4996) // warning C4996: The POSIX name for this item is deprecated. Instead, use the ISO C and C++ conformant name
# pragma warning(disable: 4702) // warning C4702: unreachable code
# pragma warning(disable: 4522) // warning C4522: multiple assignment operators specified
#elif defined(__INTEL_COMPILER)
# pragma warning(push)
# pragma warning(disable: 68) // integer conversion resulted in a change of sign
# pragma warning(disable: 186) // pointless comparison of unsigned integer with zero
# pragma warning(disable: 878) // incompatible exception specifications
# pragma warning(disable: 1334) // the "template" keyword used for syntactic disambiguation may only be used within a template
# pragma warning(disable: 1682) // implicit conversion of a 64-bit integral type to a smaller integral type (potential portability problem)
# pragma warning(disable: 1875) // offsetof applied to non-POD (Plain Old Data) types is nonstandard
# pragma warning(disable: 2196) // warning #2196: routine is both "inline" and "noinline"
#elif defined(__GNUG__) && !defined(__clang__)
# pragma GCC diagnostic push
# pragma GCC diagnostic ignored "-Wunused-but-set-parameter"
# pragma GCC diagnostic ignored "-Wunused-but-set-variable"
# pragma GCC diagnostic ignored "-Wmissing-field-initializers"
# pragma GCC diagnostic ignored "-Wstrict-aliasing"
# pragma GCC diagnostic ignored "-Wattributes"
# if __GNUC__ >= 7
# pragma GCC diagnostic ignored "-Wnoexcept-type"
# endif
#endif
#include "attr.h"
#include "options.h"
#include "class_support.h"
NAMESPACE_BEGIN(pybind11)
/// Wraps an arbitrary C++ function/method/lambda function/.. into a callable Python object
class cpp_function : public function {
public:
cpp_function() { }
/// Construct a cpp_function from a vanilla function pointer
template <typename Return, typename... Args, typename... Extra>
cpp_function(Return (*f)(Args...), const Extra&... extra) {
initialize(f, f, extra...);
}
/// Construct a cpp_function from a lambda function (possibly with internal state)
template <typename Func, typename... Extra, typename = detail::enable_if_t<
detail::satisfies_none_of<
detail::remove_reference_t<Func>,
std::is_function, std::is_pointer, std::is_member_pointer
>::value>
>
cpp_function(Func &&f, const Extra&... extra) {
using FuncType = typename detail::remove_class<decltype(&detail::remove_reference_t<Func>::operator())>::type;
initialize(std::forward<Func>(f),
(FuncType *) nullptr, extra...);
}
/// Construct a cpp_function from a class method (non-const)
template <typename Return, typename Class, typename... Arg, typename... Extra>
cpp_function(Return (Class::*f)(Arg...), const Extra&... extra) {
initialize([f](Class *c, Arg... args) -> Return { return (c->*f)(args...); },
(Return (*) (Class *, Arg...)) nullptr, extra...);
}
/// Construct a cpp_function from a class method (const)
template <typename Return, typename Class, typename... Arg, typename... Extra>
cpp_function(Return (Class::*f)(Arg...) const, const Extra&... extra) {
initialize([f](const Class *c, Arg... args) -> Return { return (c->*f)(args...); },
(Return (*)(const Class *, Arg ...)) nullptr, extra...);
}
/// Return the function name
object name() const { return attr("__name__"); }
protected:
/// Space optimization: don't inline this frequently instantiated fragment
PYBIND11_NOINLINE detail::function_record *make_function_record() {
return new detail::function_record();
}
/// Special internal constructor for functors, lambda functions, etc.
template <typename Func, typename Return, typename... Args, typename... Extra>
void initialize(Func &&f, Return (*)(Args...), const Extra&... extra) {
struct capture { detail::remove_reference_t<Func> f; };
/* Store the function including any extra state it might have (e.g. a lambda capture object) */
auto rec = make_function_record();
/* Store the capture object directly in the function record if there is enough space */
if (sizeof(capture) <= sizeof(rec->data)) {
/* Without these pragmas, GCC warns that there might not be
enough space to use the placement new operator. However, the
'if' statement above ensures that this is the case. */
#if defined(__GNUG__) && !defined(__clang__) && __GNUC__ >= 6
# pragma GCC diagnostic push
# pragma GCC diagnostic ignored "-Wplacement-new"
#endif
new ((capture *) &rec->data) capture { std::forward<Func>(f) };
#if defined(__GNUG__) && !defined(__clang__) && __GNUC__ >= 6
# pragma GCC diagnostic pop
#endif
if (!std::is_trivially_destructible<Func>::value)
rec->free_data = [](detail::function_record *r) { ((capture *) &r->data)->~capture(); };
} else {
rec->data[0] = new capture { std::forward<Func>(f) };
rec->free_data = [](detail::function_record *r) { delete ((capture *) r->data[0]); };
}
/* Type casters for the function arguments and return value */
using cast_in = detail::argument_loader<Args...>;
using cast_out = detail::make_caster<
detail::conditional_t<std::is_void<Return>::value, detail::void_type, Return>
>;
static_assert(detail::expected_num_args<Extra...>(sizeof...(Args), cast_in::has_args, cast_in::has_kwargs),
"The number of argument annotations does not match the number of function arguments");
/* Dispatch code which converts function arguments and performs the actual function call */
rec->impl = [](detail::function_call &call) -> handle {
cast_in args_converter;
/* Try to cast the function arguments into the C++ domain */
if (!args_converter.load_args(call))
return PYBIND11_TRY_NEXT_OVERLOAD;
/* Invoke call policy pre-call hook */
detail::process_attributes<Extra...>::precall(call);
/* Get a pointer to the capture object */
auto data = (sizeof(capture) <= sizeof(call.func.data)
? &call.func.data : call.func.data[0]);
capture *cap = const_cast<capture *>(reinterpret_cast<const capture *>(data));
/* Override policy for rvalues -- usually to enforce rvp::move on an rvalue */
const auto policy = detail::return_value_policy_override<Return>::policy(call.func.policy);
/* Function scope guard -- defaults to the compile-to-nothing `void_type` */
using Guard = detail::extract_guard_t<Extra...>;
/* Perform the function call */
handle result = cast_out::cast(
std::move(args_converter).template call<Return, Guard>(cap->f), policy, call.parent);
/* Invoke call policy post-call hook */
detail::process_attributes<Extra...>::postcall(call, result);
return result;
};
/* Process any user-provided function attributes */
detail::process_attributes<Extra...>::init(extra..., rec);
/* Generate a readable signature describing the function's arguments and return value types */
using detail::descr; using detail::_;
PYBIND11_DESCR signature = _("(") + cast_in::arg_names() + _(") -> ") + cast_out::name();
/* Register the function with Python from generic (non-templated) code */
initialize_generic(rec, signature.text(), signature.types(), sizeof...(Args));
if (cast_in::has_args) rec->has_args = true;
if (cast_in::has_kwargs) rec->has_kwargs = true;
/* Stash some additional information used by an important optimization in 'functional.h' */
using FunctionType = Return (*)(Args...);
constexpr bool is_function_ptr =
std::is_convertible<Func, FunctionType>::value &&
sizeof(capture) == sizeof(void *);
if (is_function_ptr) {
rec->is_stateless = true;
rec->data[1] = const_cast<void *>(reinterpret_cast<const void *>(&typeid(FunctionType)));
}
}
/// Register a function call with Python (generic non-templated code goes here)
void initialize_generic(detail::function_record *rec, const char *text,
const std::type_info *const *types, size_t args) {
/* Create copies of all referenced C-style strings */
rec->name = strdup(rec->name ? rec->name : "");
if (rec->doc) rec->doc = strdup(rec->doc);
for (auto &a: rec->args) {
if (a.name)
a.name = strdup(a.name);
if (a.descr)
a.descr = strdup(a.descr);
else if (a.value)
a.descr = strdup(a.value.attr("__repr__")().cast<std::string>().c_str());
}
/* Generate a proper function signature */
std::string signature;
size_t type_depth = 0, char_index = 0, type_index = 0, arg_index = 0;
while (true) {
char c = text[char_index++];
if (c == '\0')
break;
if (c == '{') {
// Write arg name for everything except *args, **kwargs and return type.
if (type_depth == 0 && text[char_index] != '*' && arg_index < args) {
if (!rec->args.empty() && rec->args[arg_index].name) {
signature += rec->args[arg_index].name;
} else if (arg_index == 0 && rec->is_method) {
signature += "self";
} else {
signature += "arg" + std::to_string(arg_index - (rec->is_method ? 1 : 0));
}
signature += ": ";
}
++type_depth;
} else if (c == '}') {
--type_depth;
if (type_depth == 0) {
if (arg_index < rec->args.size() && rec->args[arg_index].descr) {
signature += "=";
signature += rec->args[arg_index].descr;
}
arg_index++;
}
} else if (c == '%') {
const std::type_info *t = types[type_index++];
if (!t)
pybind11_fail("Internal error while parsing type signature (1)");
if (auto tinfo = detail::get_type_info(*t)) {
#if defined(PYPY_VERSION)
signature += handle((PyObject *) tinfo->type)
.attr("__module__")
.cast<std::string>() + ".";
#endif
signature += tinfo->type->tp_name;
} else {
std::string tname(t->name());
detail::clean_type_id(tname);
signature += tname;
}
} else {
signature += c;
}
}
if (type_depth != 0 || types[type_index] != nullptr)
pybind11_fail("Internal error while parsing type signature (2)");
#if !defined(PYBIND11_CONSTEXPR_DESCR)
delete[] types;
delete[] text;
#endif
#if PY_MAJOR_VERSION < 3
if (strcmp(rec->name, "__next__") == 0) {
std::free(rec->name);
rec->name = strdup("next");
} else if (strcmp(rec->name, "__bool__") == 0) {
std::free(rec->name);
rec->name = strdup("__nonzero__");
}
#endif
rec->signature = strdup(signature.c_str());
rec->args.shrink_to_fit();
rec->is_constructor = !strcmp(rec->name, "__init__") || !strcmp(rec->name, "__setstate__");
rec->nargs = (std::uint16_t) args;
if (rec->sibling && PYBIND11_INSTANCE_METHOD_CHECK(rec->sibling.ptr()))
rec->sibling = PYBIND11_INSTANCE_METHOD_GET_FUNCTION(rec->sibling.ptr());
detail::function_record *chain = nullptr, *chain_start = rec;
if (rec->sibling) {
if (PyCFunction_Check(rec->sibling.ptr())) {
auto rec_capsule = reinterpret_borrow<capsule>(PyCFunction_GET_SELF(rec->sibling.ptr()));
chain = (detail::function_record *) rec_capsule;
/* Never append a method to an overload chain of a parent class;
instead, hide the parent's overloads in this case */
if (!chain->scope.is(rec->scope))
chain = nullptr;
}
// Don't trigger for things like the default __init__, which are wrapper_descriptors that we are intentionally replacing
else if (!rec->sibling.is_none() && rec->name[0] != '_')
pybind11_fail("Cannot overload existing non-function object \"" + std::string(rec->name) +
"\" with a function of the same name");
}
if (!chain) {
/* No existing overload was found, create a new function object */
rec->def = new PyMethodDef();
std::memset(rec->def, 0, sizeof(PyMethodDef));
rec->def->ml_name = rec->name;
rec->def->ml_meth = reinterpret_cast<PyCFunction>(*dispatcher);
rec->def->ml_flags = METH_VARARGS | METH_KEYWORDS;
capsule rec_capsule(rec, [](void *ptr) {
destruct((detail::function_record *) ptr);
});
object scope_module;
if (rec->scope) {
if (hasattr(rec->scope, "__module__")) {
scope_module = rec->scope.attr("__module__");
} else if (hasattr(rec->scope, "__name__")) {
scope_module = rec->scope.attr("__name__");
}
}
m_ptr = PyCFunction_NewEx(rec->def, rec_capsule.ptr(), scope_module.ptr());
if (!m_ptr)
pybind11_fail("cpp_function::cpp_function(): Could not allocate function object");
} else {
/* Append at the end of the overload chain */
m_ptr = rec->sibling.ptr();
inc_ref();
chain_start = chain;
if (chain->is_method != rec->is_method)
pybind11_fail("overloading a method with both static and instance methods is not supported; "
#if defined(NDEBUG)
"compile in debug mode for more details"
#else
"error while attempting to bind " + std::string(rec->is_method ? "instance" : "static") + " method " +
std::string(pybind11::str(rec->scope.attr("__name__"))) + "." + std::string(rec->name) + signature
#endif
);
while (chain->next)
chain = chain->next;
chain->next = rec;
}
std::string signatures;
int index = 0;
/* Create a nice pydoc rec including all signatures and
docstrings of the functions in the overload chain */
if (chain && options::show_function_signatures()) {
// First a generic signature
signatures += rec->name;
signatures += "(*args, **kwargs)\n";
signatures += "Overloaded function.\n\n";
}
// Then specific overload signatures
bool first_user_def = true;
for (auto it = chain_start; it != nullptr; it = it->next) {
if (options::show_function_signatures()) {
if (index > 0) signatures += "\n";
if (chain)
signatures += std::to_string(++index) + ". ";
signatures += rec->name;
signatures += it->signature;
signatures += "\n";
}
if (it->doc && strlen(it->doc) > 0 && options::show_user_defined_docstrings()) {
// If we're appending another docstring, and aren't printing function signatures, we
// need to append a newline first:
if (!options::show_function_signatures()) {
if (first_user_def) first_user_def = false;
else signatures += "\n";
}
if (options::show_function_signatures()) signatures += "\n";
signatures += it->doc;
if (options::show_function_signatures()) signatures += "\n";
}
}
/* Install docstring */
PyCFunctionObject *func = (PyCFunctionObject *) m_ptr;
if (func->m_ml->ml_doc)
std::free(const_cast<char *>(func->m_ml->ml_doc));
func->m_ml->ml_doc = strdup(signatures.c_str());
if (rec->is_method) {
m_ptr = PYBIND11_INSTANCE_METHOD_NEW(m_ptr, rec->scope.ptr());
if (!m_ptr)
pybind11_fail("cpp_function::cpp_function(): Could not allocate instance method object");
Py_DECREF(func);
}
}
/// When a cpp_function is GCed, release any memory allocated by pybind11
static void destruct(detail::function_record *rec) {
while (rec) {
detail::function_record *next = rec->next;
if (rec->free_data)
rec->free_data(rec);
std::free((char *) rec->name);
std::free((char *) rec->doc);
std::free((char *) rec->signature);
for (auto &arg: rec->args) {
std::free(const_cast<char *>(arg.name));
std::free(const_cast<char *>(arg.descr));
arg.value.dec_ref();
}
if (rec->def) {
std::free(const_cast<char *>(rec->def->ml_doc));
delete rec->def;
}
delete rec;
rec = next;
}
}
/// Main dispatch logic for calls to functions bound using pybind11
static PyObject *dispatcher(PyObject *self, PyObject *args_in, PyObject *kwargs_in) {
using namespace detail;
/* Iterator over the list of potentially admissible overloads */
function_record *overloads = (function_record *) PyCapsule_GetPointer(self, nullptr),
*it = overloads;
/* Need to know how many arguments + keyword arguments there are to pick the right overload */
const size_t n_args_in = (size_t) PyTuple_GET_SIZE(args_in);
handle parent = n_args_in > 0 ? PyTuple_GET_ITEM(args_in, 0) : nullptr,
result = PYBIND11_TRY_NEXT_OVERLOAD;
try {
// We do this in two passes: in the first pass, we load arguments with `convert=false`;
// in the second, we allow conversion (except for arguments with an explicit
// py::arg().noconvert()). This lets us prefer calls without conversion, with
// conversion as a fallback.
std::vector<function_call> second_pass;
// However, if there are no overloads, we can just skip the no-convert pass entirely
const bool overloaded = it != nullptr && it->next != nullptr;
for (; it != nullptr; it = it->next) {
/* For each overload:
1. Copy all positional arguments we were given, also checking to make sure that
named positional arguments weren't *also* specified via kwarg.
2. If we weren't given enough, try to make up the omitted ones by checking
whether they were provided by a kwarg matching the `py::arg("name")` name. If
so, use it (and remove it from kwargs; if not, see if the function binding
provided a default that we can use.
3. Ensure that either all keyword arguments were "consumed", or that the function
takes a kwargs argument to accept unconsumed kwargs.
4. Any positional arguments still left get put into a tuple (for args), and any
leftover kwargs get put into a dict.
5. Pack everything into a vector; if we have py::args or py::kwargs, they are an
extra tuple or dict at the end of the positional arguments.
6. Call the function call dispatcher (function_record::impl)
If one of these fail, move on to the next overload and keep trying until we get a
result other than PYBIND11_TRY_NEXT_OVERLOAD.
*/
function_record &func = *it;
size_t pos_args = func.nargs; // Number of positional arguments that we need
if (func.has_args) --pos_args; // (but don't count py::args
if (func.has_kwargs) --pos_args; // or py::kwargs)
if (!func.has_args && n_args_in > pos_args)
continue; // Too many arguments for this overload
if (n_args_in < pos_args && func.args.size() < pos_args)
continue; // Not enough arguments given, and not enough defaults to fill in the blanks
function_call call(func, parent);
size_t args_to_copy = std::min(pos_args, n_args_in);
size_t args_copied = 0;
// 1. Copy any position arguments given.
bool bad_arg = false;
for (; args_copied < args_to_copy; ++args_copied) {
argument_record *arg_rec = args_copied < func.args.size() ? &func.args[args_copied] : nullptr;
if (kwargs_in && arg_rec && arg_rec->name && PyDict_GetItemString(kwargs_in, arg_rec->name)) {
bad_arg = true;
break;
}
handle arg(PyTuple_GET_ITEM(args_in, args_copied));
if (arg_rec && !arg_rec->none && arg.is_none()) {
bad_arg = true;
break;
}
call.args.push_back(arg);
call.args_convert.push_back(arg_rec ? arg_rec->convert : true);
}
if (bad_arg)
continue; // Maybe it was meant for another overload (issue #688)
// We'll need to copy this if we steal some kwargs for defaults
dict kwargs = reinterpret_borrow<dict>(kwargs_in);
// 2. Check kwargs and, failing that, defaults that may help complete the list
if (args_copied < pos_args) {
bool copied_kwargs = false;
for (; args_copied < pos_args; ++args_copied) {
const auto &arg = func.args[args_copied];
handle value;
if (kwargs_in && arg.name)
value = PyDict_GetItemString(kwargs.ptr(), arg.name);
if (value) {
// Consume a kwargs value
if (!copied_kwargs) {
kwargs = reinterpret_steal<dict>(PyDict_Copy(kwargs.ptr()));
copied_kwargs = true;
}
PyDict_DelItemString(kwargs.ptr(), arg.name);
} else if (arg.value) {
value = arg.value;
}
if (value) {
call.args.push_back(value);
call.args_convert.push_back(arg.convert);
}
else
break;
}
if (args_copied < pos_args)
continue; // Not enough arguments, defaults, or kwargs to fill the positional arguments
}
// 3. Check everything was consumed (unless we have a kwargs arg)
if (kwargs && kwargs.size() > 0 && !func.has_kwargs)
continue; // Unconsumed kwargs, but no py::kwargs argument to accept them
// 4a. If we have a py::args argument, create a new tuple with leftovers
tuple extra_args;
if (func.has_args) {
if (args_to_copy == 0) {
// We didn't copy out any position arguments from the args_in tuple, so we
// can reuse it directly without copying:
extra_args = reinterpret_borrow<tuple>(args_in);
} else if (args_copied >= n_args_in) {
extra_args = tuple(0);
} else {
size_t args_size = n_args_in - args_copied;
extra_args = tuple(args_size);
for (size_t i = 0; i < args_size; ++i) {
handle item = PyTuple_GET_ITEM(args_in, args_copied + i);
extra_args[i] = item.inc_ref().ptr();
}
}
call.args.push_back(extra_args);
call.args_convert.push_back(false);
}
// 4b. If we have a py::kwargs, pass on any remaining kwargs
if (func.has_kwargs) {
if (!kwargs.ptr())
kwargs = dict(); // If we didn't get one, send an empty one
call.args.push_back(kwargs);
call.args_convert.push_back(false);
}
// 5. Put everything in a vector. Not technically step 5, we've been building it
// in `call.args` all along.
#if !defined(NDEBUG)
if (call.args.size() != func.nargs || call.args_convert.size() != func.nargs)
pybind11_fail("Internal error: function call dispatcher inserted wrong number of arguments!");
#endif
std::vector<bool> second_pass_convert;
if (overloaded) {
// We're in the first no-convert pass, so swap out the conversion flags for a
// set of all-false flags. If the call fails, we'll swap the flags back in for
// the conversion-allowed call below.
second_pass_convert.resize(func.nargs, false);
call.args_convert.swap(second_pass_convert);
}
// 6. Call the function.
try {
loader_life_support guard{};
result = func.impl(call);
} catch (reference_cast_error &) {
result = PYBIND11_TRY_NEXT_OVERLOAD;
}
if (result.ptr() != PYBIND11_TRY_NEXT_OVERLOAD)
break;
if (overloaded) {
// The (overloaded) call failed; if the call has at least one argument that
// permits conversion (i.e. it hasn't been explicitly specified `.noconvert()`)
// then add this call to the list of second pass overloads to try.
for (size_t i = func.is_method ? 1 : 0; i < pos_args; i++) {
if (second_pass_convert[i]) {
// Found one: swap the converting flags back in and store the call for
// the second pass.
call.args_convert.swap(second_pass_convert);
second_pass.push_back(std::move(call));
break;
}
}
}
}
if (overloaded && !second_pass.empty() && result.ptr() == PYBIND11_TRY_NEXT_OVERLOAD) {
// The no-conversion pass finished without success, try again with conversion allowed
for (auto &call : second_pass) {
try {
loader_life_support guard{};
result = call.func.impl(call);
} catch (reference_cast_error &) {
result = PYBIND11_TRY_NEXT_OVERLOAD;
}
if (result.ptr() != PYBIND11_TRY_NEXT_OVERLOAD)
break;
}
}
} catch (error_already_set &e) {
e.restore();
return nullptr;
} catch (...) {
/* When an exception is caught, give each registered exception
translator a chance to translate it to a Python exception
in reverse order of registration.
A translator may choose to do one of the following:
- catch the exception and call PyErr_SetString or PyErr_SetObject
to set a standard (or custom) Python exception, or
- do nothing and let the exception fall through to the next translator, or
- delegate translation to the next translator by throwing a new type of exception. */
auto last_exception = std::current_exception();
auto &registered_exception_translators = get_internals().registered_exception_translators;
for (auto& translator : registered_exception_translators) {
try {
translator(last_exception);
} catch (...) {
last_exception = std::current_exception();
continue;
}
return nullptr;
}
PyErr_SetString(PyExc_SystemError, "Exception escaped from default exception translator!");
return nullptr;
}
if (result.ptr() == PYBIND11_TRY_NEXT_OVERLOAD) {
if (overloads->is_operator)
return handle(Py_NotImplemented).inc_ref().ptr();
std::string msg = std::string(overloads->name) + "(): incompatible " +
std::string(overloads->is_constructor ? "constructor" : "function") +
" arguments. The following argument types are supported:\n";
int ctr = 0;
for (function_record *it2 = overloads; it2 != nullptr; it2 = it2->next) {
msg += " "+ std::to_string(++ctr) + ". ";
bool wrote_sig = false;
if (overloads->is_constructor) {
// For a constructor, rewrite `(self: Object, arg0, ...) -> NoneType` as `Object(arg0, ...)`
std::string sig = it2->signature;
size_t start = sig.find('(') + 7; // skip "(self: "
if (start < sig.size()) {
// End at the , for the next argument
size_t end = sig.find(", "), next = end + 2;
size_t ret = sig.rfind(" -> ");
// Or the ), if there is no comma:
if (end >= sig.size()) next = end = sig.find(')');
if (start < end && next < sig.size()) {
msg.append(sig, start, end - start);
msg += '(';
msg.append(sig, next, ret - next);
wrote_sig = true;
}
}
}
if (!wrote_sig) msg += it2->signature;
msg += "\n";
}
msg += "\nInvoked with: ";
auto args_ = reinterpret_borrow<tuple>(args_in);
bool some_args = false;
for (size_t ti = overloads->is_constructor ? 1 : 0; ti < args_.size(); ++ti) {
if (!some_args) some_args = true;
else msg += ", ";
msg += pybind11::repr(args_[ti]);
}
if (kwargs_in) {
auto kwargs = reinterpret_borrow<dict>(kwargs_in);
if (kwargs.size() > 0) {
if (some_args) msg += "; ";
msg += "kwargs: ";
bool first = true;
for (auto kwarg : kwargs) {
if (first) first = false;
else msg += ", ";
msg += pybind11::str("{}={!r}").format(kwarg.first, kwarg.second);
}
}
}
PyErr_SetString(PyExc_TypeError, msg.c_str());
return nullptr;
} else if (!result) {
std::string msg = "Unable to convert function return value to a "
"Python type! The signature was\n\t";
msg += it->signature;
PyErr_SetString(PyExc_TypeError, msg.c_str());
return nullptr;
} else {
if (overloads->is_constructor) {
auto tinfo = get_type_info((PyTypeObject *) overloads->scope.ptr());
tinfo->init_instance(reinterpret_cast<instance *>(parent.ptr()), nullptr);
}
return result.ptr();
}
}
};
/// Wrapper for Python extension modules
class module : public object {
public:
PYBIND11_OBJECT_DEFAULT(module, object, PyModule_Check)
/// Create a new top-level Python module with the given name and docstring
explicit module(const char *name, const char *doc = nullptr) {
if (!options::show_user_defined_docstrings()) doc = nullptr;
#if PY_MAJOR_VERSION >= 3
PyModuleDef *def = new PyModuleDef();
std::memset(def, 0, sizeof(PyModuleDef));
def->m_name = name;
def->m_doc = doc;
def->m_size = -1;
Py_INCREF(def);
m_ptr = PyModule_Create(def);
#else
m_ptr = Py_InitModule3(name, nullptr, doc);
#endif
if (m_ptr == nullptr)
pybind11_fail("Internal error in module::module()");
inc_ref();
}
/** \rst
Create Python binding for a new function within the module scope. ``Func``
can be a plain C++ function, a function pointer, or a lambda function. For
details on the ``Extra&& ... extra`` argument, see section :ref:`extras`.
\endrst */
template <typename Func, typename... Extra>
module &def(const char *name_, Func &&f, const Extra& ... extra) {
cpp_function func(std::forward<Func>(f), name(name_), scope(*this),
sibling(getattr(*this, name_, none())), extra...);
// NB: allow overwriting here because cpp_function sets up a chain with the intention of
// overwriting (and has already checked internally that it isn't overwriting non-functions).
add_object(name_, func, true /* overwrite */);
return *this;
}
/** \rst
Create and return a new Python submodule with the given name and docstring.
This also works recursively, i.e.
.. code-block:: cpp
py::module m("example", "pybind11 example plugin");
py::module m2 = m.def_submodule("sub", "A submodule of 'example'");
py::module m3 = m2.def_submodule("subsub", "A submodule of 'example.sub'");
\endrst */
module def_submodule(const char *name, const char *doc = nullptr) {
std::string full_name = std::string(PyModule_GetName(m_ptr))
+ std::string(".") + std::string(name);
auto result = reinterpret_borrow<module>(PyImport_AddModule(full_name.c_str()));
if (doc && options::show_user_defined_docstrings())
result.attr("__doc__") = pybind11::str(doc);
attr(name) = result;
return result;
}
/// Import and return a module or throws `error_already_set`.
static module import(const char *name) {
PyObject *obj = PyImport_ImportModule(name);
if (!obj)
throw error_already_set();
return reinterpret_steal<module>(obj);
}
// Adds an object to the module using the given name. Throws if an object with the given name
// already exists.
//
// overwrite should almost always be false: attempting to overwrite objects that pybind11 has
// established will, in most cases, break things.
PYBIND11_NOINLINE void add_object(const char *name, handle obj, bool overwrite = false) {
if (!overwrite && hasattr(*this, name))
pybind11_fail("Error during initialization: multiple incompatible definitions with name \"" +
std::string(name) + "\"");
PyModule_AddObject(ptr(), name, obj.inc_ref().ptr() /* steals a reference */);
}
};
/// \ingroup python_builtins
/// Return a dictionary representing the global variables in the current execution frame,
/// or ``__main__.__dict__`` if there is no frame (usually when the interpreter is embedded).
inline dict globals() {
PyObject *p = PyEval_GetGlobals();
return reinterpret_borrow<dict>(p ? p : module::import("__main__").attr("__dict__").ptr());
}
NAMESPACE_BEGIN(detail)
/// Generic support for creating new Python heap types
class generic_type : public object {
template <typename...> friend class class_;
public:
PYBIND11_OBJECT_DEFAULT(generic_type, object, PyType_Check)
protected:
void initialize(const type_record &rec) {
if (rec.scope && hasattr(rec.scope, rec.name))
pybind11_fail("generic_type: cannot initialize type \"" + std::string(rec.name) +
"\": an object with that name is already defined");
if (get_type_info(*rec.type))
pybind11_fail("generic_type: type \"" + std::string(rec.name) +
"\" is already registered!");
m_ptr = make_new_python_type(rec);
/* Register supplemental type information in C++ dict */
auto *tinfo = new detail::type_info();
tinfo->type = (PyTypeObject *) m_ptr;
tinfo->cpptype = rec.type;
tinfo->type_size = rec.type_size;
tinfo->operator_new = rec.operator_new;
tinfo->holder_size_in_ptrs = size_in_ptrs(rec.holder_size);
tinfo->init_instance = rec.init_instance;
tinfo->dealloc = rec.dealloc;
tinfo->simple_type = true;
tinfo->simple_ancestors = true;
auto &internals = get_internals();
auto tindex = std::type_index(*rec.type);
tinfo->direct_conversions = &internals.direct_conversions[tindex];
tinfo->default_holder = rec.default_holder;
internals.registered_types_cpp[tindex] = tinfo;
internals.registered_types_py[(PyTypeObject *) m_ptr] = { tinfo };
if (rec.bases.size() > 1 || rec.multiple_inheritance) {
mark_parents_nonsimple(tinfo->type);
tinfo->simple_ancestors = false;
}
else if (rec.bases.size() == 1) {
auto parent_tinfo = get_type_info((PyTypeObject *) rec.bases[0].ptr());
tinfo->simple_ancestors = parent_tinfo->simple_ancestors;
}
}
/// Helper function which tags all parents of a type using mult. inheritance
void mark_parents_nonsimple(PyTypeObject *value) {
auto t = reinterpret_borrow<tuple>(value->tp_bases);
for (handle h : t) {
auto tinfo2 = get_type_info((PyTypeObject *) h.ptr());
if (tinfo2)
tinfo2->simple_type = false;
mark_parents_nonsimple((PyTypeObject *) h.ptr());
}
}
void install_buffer_funcs(
buffer_info *(*get_buffer)(PyObject *, void *),
void *get_buffer_data) {
PyHeapTypeObject *type = (PyHeapTypeObject*) m_ptr;
auto tinfo = detail::get_type_info(&type->ht_type);
if (!type->ht_type.tp_as_buffer)
pybind11_fail(
"To be able to register buffer protocol support for the type '" +
std::string(tinfo->type->tp_name) +
"' the associated class<>(..) invocation must "
"include the pybind11::buffer_protocol() annotation!");
tinfo->get_buffer = get_buffer;
tinfo->get_buffer_data = get_buffer_data;
}
void def_property_static_impl(const char *name,
handle fget, handle fset,
detail::function_record *rec_fget) {
const auto is_static = !(rec_fget->is_method && rec_fget->scope);
const auto has_doc = rec_fget->doc && pybind11::options::show_user_defined_docstrings();
auto property = handle((PyObject *) (is_static ? get_internals().static_property_type
: &PyProperty_Type));
attr(name) = property(fget.ptr() ? fget : none(),
fset.ptr() ? fset : none(),
/*deleter*/none(),
pybind11::str(has_doc ? rec_fget->doc : ""));
}
};
/// Set the pointer to operator new if it exists. The cast is needed because it can be overloaded.
template <typename T, typename = void_t<decltype(static_cast<void *(*)(size_t)>(T::operator new))>>
void set_operator_new(type_record *r) { r->operator_new = &T::operator new; }
template <typename> void set_operator_new(...) { }
template <typename T, typename SFINAE = void> struct has_operator_delete : std::false_type { };
template <typename T> struct has_operator_delete<T, void_t<decltype(static_cast<void (*)(void *)>(T::operator delete))>>
: std::true_type { };
template <typename T, typename SFINAE = void> struct has_operator_delete_size : std::false_type { };
template <typename T> struct has_operator_delete_size<T, void_t<decltype(static_cast<void (*)(void *, size_t)>(T::operator delete))>>
: std::true_type { };
/// Call class-specific delete if it exists or global otherwise. Can also be an overload set.
template <typename T, enable_if_t<has_operator_delete<T>::value, int> = 0>
void call_operator_delete(T *p, size_t) { T::operator delete(p); }
template <typename T, enable_if_t<!has_operator_delete<T>::value && has_operator_delete_size<T>::value, int> = 0>
void call_operator_delete(T *p, size_t s) { T::operator delete(p, s); }
inline void call_operator_delete(void *p, size_t) { ::operator delete(p); }
NAMESPACE_END(detail)
/// Given a pointer to a member function, cast it to its `Derived` version.
/// Forward everything else unchanged.
template <typename /*Derived*/, typename F>
auto method_adaptor(F &&f) -> decltype(std::forward<F>(f)) { return std::forward<F>(f); }
template <typename Derived, typename Return, typename Class, typename... Args>
auto method_adaptor(Return (Class::*pmf)(Args...)) -> Return (Derived::*)(Args...) { return pmf; }
template <typename Derived, typename Return, typename Class, typename... Args>
auto method_adaptor(Return (Class::*pmf)(Args...) const) -> Return (Derived::*)(Args...) const { return pmf; }
template <typename type_, typename... options>
class class_ : public detail::generic_type {
template <typename T> using is_holder = detail::is_holder_type<type_, T>;
template <typename T> using is_subtype = detail::is_strict_base_of<type_, T>;
template <typename T> using is_base = detail::is_strict_base_of<T, type_>;
// struct instead of using here to help MSVC:
template <typename T> struct is_valid_class_option :
detail::any_of<is_holder<T>, is_subtype<T>, is_base<T>> {};
public:
using type = type_;
using type_alias = detail::exactly_one_t<is_subtype, void, options...>;
constexpr static bool has_alias = !std::is_void<type_alias>::value;
using holder_type = detail::exactly_one_t<is_holder, std::unique_ptr<type>, options...>;
static_assert(detail::all_of<is_valid_class_option<options>...>::value,
"Unknown/invalid class_ template parameters provided");
PYBIND11_OBJECT(class_, generic_type, PyType_Check)
template <typename... Extra>
class_(handle scope, const char *name, const Extra &... extra) {
using namespace detail;
// MI can only be specified via class_ template options, not constructor parameters
static_assert(
none_of<is_pyobject<Extra>...>::value || // no base class arguments, or:
( constexpr_sum(is_pyobject<Extra>::value...) == 1 && // Exactly one base
constexpr_sum(is_base<options>::value...) == 0 && // no template option bases
none_of<std::is_same<multiple_inheritance, Extra>...>::value), // no multiple_inheritance attr
"Error: multiple inheritance bases must be specified via class_ template options");
type_record record;
record.scope = scope;
record.name = name;
record.type = &typeid(type);
record.type_size = sizeof(conditional_t<has_alias, type_alias, type>);
record.holder_size = sizeof(holder_type);
record.init_instance = init_instance;
record.dealloc = dealloc;
record.default_holder = std::is_same<holder_type, std::unique_ptr<type>>::value;
set_operator_new<type>(&record);
/* Register base classes specified via template arguments to class_, if any */
PYBIND11_EXPAND_SIDE_EFFECTS(add_base<options>(record));
/* Process optional arguments, if any */
process_attributes<Extra...>::init(extra..., &record);
generic_type::initialize(record);
if (has_alias) {
auto &instances = get_internals().registered_types_cpp;
instances[std::type_index(typeid(type_alias))] = instances[std::type_index(typeid(type))];
}
}
template <typename Base, detail::enable_if_t<is_base<Base>::value, int> = 0>
static void add_base(detail::type_record &rec) {
rec.add_base(typeid(Base), [](void *src) -> void * {
return static_cast<Base *>(reinterpret_cast<type *>(src));
});
}
template <typename Base, detail::enable_if_t<!is_base<Base>::value, int> = 0>
static void add_base(detail::type_record &) { }
template <typename Func, typename... Extra>
class_ &def(const char *name_, Func&& f, const Extra&... extra) {
cpp_function cf(method_adaptor<type>(std::forward<Func>(f)), name(name_), is_method(*this),
sibling(getattr(*this, name_, none())), extra...);
attr(cf.name()) = cf;
return *this;
}
template <typename Func, typename... Extra> class_ &
def_static(const char *name_, Func &&f, const Extra&... extra) {
static_assert(!std::is_member_function_pointer<Func>::value,
"def_static(...) called with a non-static member function pointer");
cpp_function cf(std::forward<Func>(f), name(name_), scope(*this),
sibling(getattr(*this, name_, none())), extra...);
attr(cf.name()) = cf;
return *this;
}
template <detail::op_id id, detail::op_type ot, typename L, typename R, typename... Extra>
class_ &def(const detail::op_<id, ot, L, R> &op, const Extra&... extra) {
op.execute(*this, extra...);
return *this;
}
template <detail::op_id id, detail::op_type ot, typename L, typename R, typename... Extra>
class_ & def_cast(const detail::op_<id, ot, L, R> &op, const Extra&... extra) {
op.execute_cast(*this, extra...);
return *this;
}
template <typename... Args, typename... Extra>
class_ &def(const detail::init<Args...> &init, const Extra&... extra) {
init.execute(*this, extra...);
return *this;
}
template <typename... Args, typename... Extra>
class_ &def(const detail::init_alias<Args...> &init, const Extra&... extra) {
init.execute(*this, extra...);
return *this;
}
template <typename Func> class_& def_buffer(Func &&func) {
struct capture { Func func; };
capture *ptr = new capture { std::forward<Func>(func) };
install_buffer_funcs([](PyObject *obj, void *ptr) -> buffer_info* {
detail::make_caster<type> caster;
if (!caster.load(obj, false))
return nullptr;
return new buffer_info(((capture *) ptr)->func(caster));
}, ptr);
return *this;
}
template <typename Return, typename Class, typename... Args>
class_ &def_buffer(Return (Class::*func)(Args...)) {
return def_buffer([func] (type &obj) { return (obj.*func)(); });
}
template <typename Return, typename Class, typename... Args>
class_ &def_buffer(Return (Class::*func)(Args...) const) {
return def_buffer([func] (const type &obj) { return (obj.*func)(); });
}
template <typename C, typename D, typename... Extra>
class_ &def_readwrite(const char *name, D C::*pm, const Extra&... extra) {
static_assert(std::is_base_of<C, type>::value, "def_readwrite() requires a class member (or base class member)");
cpp_function fget([pm](const type &c) -> const D &{ return c.*pm; }, is_method(*this)),
fset([pm](type &c, const D &value) { c.*pm = value; }, is_method(*this));
def_property(name, fget, fset, return_value_policy::reference_internal, extra...);
return *this;
}
template <typename C, typename D, typename... Extra>
class_ &def_readonly(const char *name, const D C::*pm, const Extra& ...extra) {
static_assert(std::is_base_of<C, type>::value, "def_readonly() requires a class member (or base class member)");
cpp_function fget([pm](const type &c) -> const D &{ return c.*pm; }, is_method(*this));
def_property_readonly(name, fget, return_value_policy::reference_internal, extra...);
return *this;
}
template <typename D, typename... Extra>
class_ &def_readwrite_static(const char *name, D *pm, const Extra& ...extra) {
cpp_function fget([pm](object) -> const D &{ return *pm; }, scope(*this)),
fset([pm](object, const D &value) { *pm = value; }, scope(*this));
def_property_static(name, fget, fset, return_value_policy::reference, extra...);
return *this;
}
template <typename D, typename... Extra>
class_ &def_readonly_static(const char *name, const D *pm, const Extra& ...extra) {
cpp_function fget([pm](object) -> const D &{ return *pm; }, scope(*this));
def_property_readonly_static(name, fget, return_value_policy::reference, extra...);
return *this;
}
/// Uses return_value_policy::reference_internal by default
template <typename Getter, typename... Extra>
class_ &def_property_readonly(const char *name, const Getter &fget, const Extra& ...extra) {
return def_property_readonly(name, cpp_function(method_adaptor<type>(fget)),
return_value_policy::reference_internal, extra...);
}
/// Uses cpp_function's return_value_policy by default
template <typename... Extra>
class_ &def_property_readonly(const char *name, const cpp_function &fget, const Extra& ...extra) {
return def_property(name, fget, cpp_function(), extra...);
}
/// Uses return_value_policy::reference by default
template <typename Getter, typename... Extra>
class_ &def_property_readonly_static(const char *name, const Getter &fget, const Extra& ...extra) {
return def_property_readonly_static(name, cpp_function(fget), return_value_policy::reference, extra...);
}
/// Uses cpp_function's return_value_policy by default
template <typename... Extra>
class_ &def_property_readonly_static(const char *name, const cpp_function &fget, const Extra& ...extra) {
return def_property_static(name, fget, cpp_function(), extra...);
}
/// Uses return_value_policy::reference_internal by default
template <typename Getter, typename Setter, typename... Extra>
class_ &def_property(const char *name, const Getter &fget, const Setter &fset, const Extra& ...extra) {
return def_property(name, fget, cpp_function(method_adaptor<type>(fset)), extra...);
}
template <typename Getter, typename... Extra>
class_ &def_property(const char *name, const Getter &fget, const cpp_function &fset, const Extra& ...extra) {
return def_property(name, cpp_function(method_adaptor<type>(fget)), fset,
return_value_policy::reference_internal, extra...);
}
/// Uses cpp_function's return_value_policy by default
template <typename... Extra>
class_ &def_property(const char *name, const cpp_function &fget, const cpp_function &fset, const Extra& ...extra) {
return def_property_static(name, fget, fset, is_method(*this), extra...);
}
/// Uses return_value_policy::reference by default
template <typename Getter, typename... Extra>
class_ &def_property_static(const char *name, const Getter &fget, const cpp_function &fset, const Extra& ...extra) {
return def_property_static(name, cpp_function(fget), fset, return_value_policy::reference, extra...);
}
/// Uses cpp_function's return_value_policy by default
template <typename... Extra>
class_ &def_property_static(const char *name, const cpp_function &fget, const cpp_function &fset, const Extra& ...extra) {
auto rec_fget = get_function_record(fget), rec_fset = get_function_record(fset);
char *doc_prev = rec_fget->doc; /* 'extra' field may include a property-specific documentation string */
detail::process_attributes<Extra...>::init(extra..., rec_fget);
if (rec_fget->doc && rec_fget->doc != doc_prev) {
free(doc_prev);
rec_fget->doc = strdup(rec_fget->doc);
}
if (rec_fset) {
doc_prev = rec_fset->doc;
detail::process_attributes<Extra...>::init(extra..., rec_fset);
if (rec_fset->doc && rec_fset->doc != doc_prev) {
free(doc_prev);
rec_fset->doc = strdup(rec_fset->doc);
}
}
def_property_static_impl(name, fget, fset, rec_fget);
return *this;
}
private:
/// Initialize holder object, variant 1: object derives from enable_shared_from_this
template <typename T>
static void init_holder(detail::instance *inst, detail::value_and_holder &v_h,
const holder_type * /* unused */, const std::enable_shared_from_this<T> * /* dummy */) {
try {
auto sh = std::dynamic_pointer_cast<typename holder_type::element_type>(
v_h.value_ptr<type>()->shared_from_this());
if (sh) {
new (&v_h.holder<holder_type>()) holder_type(std::move(sh));
v_h.set_holder_constructed();
}
} catch (const std::bad_weak_ptr &) {}
if (!v_h.holder_constructed() && inst->owned) {
new (&v_h.holder<holder_type>()) holder_type(v_h.value_ptr<type>());
v_h.set_holder_constructed();
}
}
static void init_holder_from_existing(const detail::value_and_holder &v_h,
const holder_type *holder_ptr, std::true_type /*is_copy_constructible*/) {
new (&v_h.holder<holder_type>()) holder_type(*reinterpret_cast<const holder_type *>(holder_ptr));
}
static void init_holder_from_existing(const detail::value_and_holder &v_h,
const holder_type *holder_ptr, std::false_type /*is_copy_constructible*/) {
new (&v_h.holder<holder_type>()) holder_type(std::move(*const_cast<holder_type *>(holder_ptr)));
}
/// Initialize holder object, variant 2: try to construct from existing holder object, if possible
static void init_holder(detail::instance *inst, detail::value_and_holder &v_h,
const holder_type *holder_ptr, const void * /* dummy -- not enable_shared_from_this<T>) */) {
if (holder_ptr) {
init_holder_from_existing(v_h, holder_ptr, std::is_copy_constructible<holder_type>());
v_h.set_holder_constructed();
} else if (inst->owned || detail::always_construct_holder<holder_type>::value) {
new (&v_h.holder<holder_type>()) holder_type(v_h.value_ptr<type>());
v_h.set_holder_constructed();
}
}
/// Performs instance initialization including constructing a holder and registering the known
/// instance. Should be called as soon as the `type` value_ptr is set for an instance. Takes an
/// optional pointer to an existing holder to use; if not specified and the instance is
/// `.owned`, a new holder will be constructed to manage the value pointer.
static void init_instance(detail::instance *inst, const void *holder_ptr) {
auto v_h = inst->get_value_and_holder(detail::get_type_info(typeid(type)));
if (!v_h.instance_registered()) {
register_instance(inst, v_h.value_ptr(), v_h.type);
v_h.set_instance_registered();
}
init_holder(inst, v_h, (const holder_type *) holder_ptr, v_h.value_ptr<type>());
}
/// Deallocates an instance; via holder, if constructed; otherwise via operator delete.
static void dealloc(const detail::value_and_holder &v_h) {
if (v_h.holder_constructed())
v_h.holder<holder_type>().~holder_type();
else
detail::call_operator_delete(v_h.value_ptr<type>(), v_h.type->type_size);
}
static detail::function_record *get_function_record(handle h) {
h = detail::get_function(h);
return h ? (detail::function_record *) reinterpret_borrow<capsule>(PyCFunction_GET_SELF(h.ptr()))
: nullptr;
}
};
/// Binds C++ enumerations and enumeration classes to Python
template <typename Type> class enum_ : public class_<Type> {
public:
using class_<Type>::def;
using class_<Type>::def_property_readonly_static;
using Scalar = typename std::underlying_type<Type>::type;
template <typename... Extra>
enum_(const handle &scope, const char *name, const Extra&... extra)
: class_<Type>(scope, name, extra...), m_entries(), m_parent(scope) {
constexpr bool is_arithmetic = detail::any_of<std::is_same<arithmetic, Extra>...>::value;
auto m_entries_ptr = m_entries.inc_ref().ptr();
def("__repr__", [name, m_entries_ptr](Type value) -> pybind11::str {
for (const auto &kv : reinterpret_borrow<dict>(m_entries_ptr)) {
if (pybind11::cast<Type>(kv.second) == value)
return pybind11::str("{}.{}").format(name, kv.first);
}
return pybind11::str("{}.???").format(name);
});
def_property_readonly_static("__members__", [m_entries_ptr](object /* self */) {
dict m;
for (const auto &kv : reinterpret_borrow<dict>(m_entries_ptr))
m[kv.first] = kv.second;
return m;
}, return_value_policy::copy);
def("__init__", [](Type& value, Scalar i) { value = (Type)i; });
def("__int__", [](Type value) { return (Scalar) value; });
#if PY_MAJOR_VERSION < 3
def("__long__", [](Type value) { return (Scalar) value; });
#endif
def("__eq__", [](const Type &value, Type *value2) { return value2 && value == *value2; });
def("__ne__", [](const Type &value, Type *value2) { return !value2 || value != *value2; });
if (is_arithmetic) {
def("__lt__", [](const Type &value, Type *value2) { return value2 && value < *value2; });
def("__gt__", [](const Type &value, Type *value2) { return value2 && value > *value2; });
def("__le__", [](const Type &value, Type *value2) { return value2 && value <= *value2; });
def("__ge__", [](const Type &value, Type *value2) { return value2 && value >= *value2; });
}
if (std::is_convertible<Type, Scalar>::value) {
// Don't provide comparison with the underlying type if the enum isn't convertible,
// i.e. if Type is a scoped enum, mirroring the C++ behaviour. (NB: we explicitly
// convert Type to Scalar below anyway because this needs to compile).
def("__eq__", [](const Type &value, Scalar value2) { return (Scalar) value == value2; });
def("__ne__", [](const Type &value, Scalar value2) { return (Scalar) value != value2; });
if (is_arithmetic) {
def("__lt__", [](const Type &value, Scalar value2) { return (Scalar) value < value2; });
def("__gt__", [](const Type &value, Scalar value2) { return (Scalar) value > value2; });
def("__le__", [](const Type &value, Scalar value2) { return (Scalar) value <= value2; });
def("__ge__", [](const Type &value, Scalar value2) { return (Scalar) value >= value2; });
def("__invert__", [](const Type &value) { return ~((Scalar) value); });
def("__and__", [](const Type &value, Scalar value2) { return (Scalar) value & value2; });
def("__or__", [](const Type &value, Scalar value2) { return (Scalar) value | value2; });
def("__xor__", [](const Type &value, Scalar value2) { return (Scalar) value ^ value2; });
def("__rand__", [](const Type &value, Scalar value2) { return (Scalar) value & value2; });
def("__ror__", [](const Type &value, Scalar value2) { return (Scalar) value | value2; });
def("__rxor__", [](const Type &value, Scalar value2) { return (Scalar) value ^ value2; });
def("__and__", [](const Type &value, const Type &value2) { return (Scalar) value & (Scalar) value2; });
def("__or__", [](const Type &value, const Type &value2) { return (Scalar) value | (Scalar) value2; });
def("__xor__", [](const Type &value, const Type &value2) { return (Scalar) value ^ (Scalar) value2; });
}
}
def("__hash__", [](const Type &value) { return (Scalar) value; });
// Pickling and unpickling -- needed for use with the 'multiprocessing' module
def("__getstate__", [](const Type &value) { return pybind11::make_tuple((Scalar) value); });
def("__setstate__", [](Type &p, tuple t) { new (&p) Type((Type) t[0].cast<Scalar>()); });
}
/// Export enumeration entries into the parent scope
enum_& export_values() {
for (const auto &kv : m_entries)
m_parent.attr(kv.first) = kv.second;
return *this;
}
/// Add an enumeration entry
enum_& value(char const* name, Type value) {
auto v = pybind11::cast(value, return_value_policy::copy);
this->attr(name) = v;
m_entries[pybind11::str(name)] = v;
return *this;
}
private:
dict m_entries;
handle m_parent;
};
NAMESPACE_BEGIN(detail)
template <typename... Args> struct init {
template <typename Class, typename... Extra, enable_if_t<!Class::has_alias, int> = 0>
static void execute(Class &cl, const Extra&... extra) {
using Base = typename Class::type;
/// Function which calls a specific C++ in-place constructor
cl.def("__init__", [](Base *self_, Args... args) { new (self_) Base(args...); }, extra...);
}
template <typename Class, typename... Extra,
enable_if_t<Class::has_alias &&
std::is_constructible<typename Class::type, Args...>::value, int> = 0>
static void execute(Class &cl, const Extra&... extra) {
using Base = typename Class::type;
using Alias = typename Class::type_alias;
handle cl_type = cl;
cl.def("__init__", [cl_type](handle self_, Args... args) {
if (self_.get_type().is(cl_type))
new (self_.cast<Base *>()) Base(args...);
else
new (self_.cast<Alias *>()) Alias(args...);
}, extra...);
}
template <typename Class, typename... Extra,
enable_if_t<Class::has_alias &&
!std::is_constructible<typename Class::type, Args...>::value, int> = 0>
static void execute(Class &cl, const Extra&... extra) {
init_alias<Args...>::execute(cl, extra...);
}
};
template <typename... Args> struct init_alias {
template <typename Class, typename... Extra,
enable_if_t<Class::has_alias && std::is_constructible<typename Class::type_alias, Args...>::value, int> = 0>
static void execute(Class &cl, const Extra&... extra) {
using Alias = typename Class::type_alias;
cl.def("__init__", [](Alias *self_, Args... args) { new (self_) Alias(args...); }, extra...);
}
};
inline void keep_alive_impl(handle nurse, handle patient) {
if (!nurse || !patient)
pybind11_fail("Could not activate keep_alive!");
if (patient.is_none() || nurse.is_none())
return; /* Nothing to keep alive or nothing to be kept alive by */
auto tinfo = all_type_info(Py_TYPE(nurse.ptr()));
if (!tinfo.empty()) {
/* It's a pybind-registered type, so we can store the patient in the
* internal list. */
add_patient(nurse.ptr(), patient.ptr());
}
else {
/* Fall back to clever approach based on weak references taken from
* Boost.Python. This is not used for pybind-registered types because
* the objects can be destroyed out-of-order in a GC pass. */
cpp_function disable_lifesupport(
[patient](handle weakref) { patient.dec_ref(); weakref.dec_ref(); });
weakref wr(nurse, disable_lifesupport);
patient.inc_ref(); /* reference patient and leak the weak reference */
(void) wr.release();
}
}
PYBIND11_NOINLINE inline void keep_alive_impl(size_t Nurse, size_t Patient, function_call &call, handle ret) {
keep_alive_impl(
Nurse == 0 ? ret : Nurse <= call.args.size() ? call.args[Nurse - 1] : handle(),
Patient == 0 ? ret : Patient <= call.args.size() ? call.args[Patient - 1] : handle()
);
}
inline std::pair<decltype(internals::registered_types_py)::iterator, bool> all_type_info_get_cache(PyTypeObject *type) {
auto res = get_internals().registered_types_py
#ifdef __cpp_lib_unordered_map_try_emplace
.try_emplace(type);
#else
.emplace(type, std::vector<detail::type_info *>());
#endif
if (res.second) {
// New cache entry created; set up a weak reference to automatically remove it if the type
// gets destroyed:
weakref((PyObject *) type, cpp_function([type](handle wr) {
get_internals().registered_types_py.erase(type);
wr.dec_ref();
})).release();
}
return res;
}
template <typename Iterator, typename Sentinel, bool KeyIterator, return_value_policy Policy>
struct iterator_state {
Iterator it;
Sentinel end;
bool first_or_done;
};
NAMESPACE_END(detail)
template <typename... Args> detail::init<Args...> init() { return detail::init<Args...>(); }
template <typename... Args> detail::init_alias<Args...> init_alias() { return detail::init_alias<Args...>(); }
/// Makes a python iterator from a first and past-the-end C++ InputIterator.
template <return_value_policy Policy = return_value_policy::reference_internal,
typename Iterator,
typename Sentinel,
typename ValueType = decltype(*std::declval<Iterator>()),
typename... Extra>
iterator make_iterator(Iterator first, Sentinel last, Extra &&... extra) {
typedef detail::iterator_state<Iterator, Sentinel, false, Policy> state;
if (!detail::get_type_info(typeid(state), false)) {
class_<state>(handle(), "iterator")
.def("__iter__", [](state &s) -> state& { return s; })
.def("__next__", [](state &s) -> ValueType {
if (!s.first_or_done)
++s.it;
else
s.first_or_done = false;
if (s.it == s.end) {
s.first_or_done = true;
throw stop_iteration();
}
return *s.it;
}, std::forward<Extra>(extra)..., Policy);
}
return cast(state{first, last, true});
}
/// Makes an python iterator over the keys (`.first`) of a iterator over pairs from a
/// first and past-the-end InputIterator.
template <return_value_policy Policy = return_value_policy::reference_internal,
typename Iterator,
typename Sentinel,
typename KeyType = decltype((*std::declval<Iterator>()).first),
typename... Extra>
iterator make_key_iterator(Iterator first, Sentinel last, Extra &&... extra) {
typedef detail::iterator_state<Iterator, Sentinel, true, Policy> state;
if (!detail::get_type_info(typeid(state), false)) {
class_<state>(handle(), "iterator")
.def("__iter__", [](state &s) -> state& { return s; })
.def("__next__", [](state &s) -> KeyType {
if (!s.first_or_done)
++s.it;
else
s.first_or_done = false;
if (s.it == s.end) {
s.first_or_done = true;
throw stop_iteration();
}
return (*s.it).first;
}, std::forward<Extra>(extra)..., Policy);
}
return cast(state{first, last, true});
}
/// Makes an iterator over values of an stl container or other container supporting
/// `std::begin()`/`std::end()`
template <return_value_policy Policy = return_value_policy::reference_internal,
typename Type, typename... Extra> iterator make_iterator(Type &value, Extra&&... extra) {
return make_iterator<Policy>(std::begin(value), std::end(value), extra...);
}
/// Makes an iterator over the keys (`.first`) of a stl map-like container supporting
/// `std::begin()`/`std::end()`
template <return_value_policy Policy = return_value_policy::reference_internal,
typename Type, typename... Extra> iterator make_key_iterator(Type &value, Extra&&... extra) {
return make_key_iterator<Policy>(std::begin(value), std::end(value), extra...);
}
template <typename InputType, typename OutputType> void implicitly_convertible() {
auto implicit_caster = [](PyObject *obj, PyTypeObject *type) -> PyObject * {
if (!detail::make_caster<InputType>().load(obj, false))
return nullptr;
tuple args(1);
args[0] = obj;
PyObject *result = PyObject_Call((PyObject *) type, args.ptr(), nullptr);
if (result == nullptr)
PyErr_Clear();
return result;
};
if (auto tinfo = detail::get_type_info(typeid(OutputType)))
tinfo->implicit_conversions.push_back(implicit_caster);
else
pybind11_fail("implicitly_convertible: Unable to find type " + type_id<OutputType>());
}
template <typename ExceptionTranslator>
void register_exception_translator(ExceptionTranslator&& translator) {
detail::get_internals().registered_exception_translators.push_front(
std::forward<ExceptionTranslator>(translator));
}
/**
* Wrapper to generate a new Python exception type.
*
* This should only be used with PyErr_SetString for now.
* It is not (yet) possible to use as a py::base.
* Template type argument is reserved for future use.
*/
template <typename type>
class exception : public object {
public:
exception(handle scope, const char *name, PyObject *base = PyExc_Exception) {
std::string full_name = scope.attr("__name__").cast<std::string>() +
std::string(".") + name;
m_ptr = PyErr_NewException(const_cast<char *>(full_name.c_str()), base, NULL);
if (hasattr(scope, name))
pybind11_fail("Error during initialization: multiple incompatible "
"definitions with name \"" + std::string(name) + "\"");
scope.attr(name) = *this;
}
// Sets the current python exception to this exception object with the given message
void operator()(const char *message) {
PyErr_SetString(m_ptr, message);
}
};
/**
* Registers a Python exception in `m` of the given `name` and installs an exception translator to
* translate the C++ exception to the created Python exception using the exceptions what() method.
* This is intended for simple exception translations; for more complex translation, register the
* exception object and translator directly.
*/
template <typename CppException>
exception<CppException> &register_exception(handle scope,
const char *name,
PyObject *base = PyExc_Exception) {
static exception<CppException> ex(scope, name, base);
register_exception_translator([](std::exception_ptr p) {
if (!p) return;
try {
std::rethrow_exception(p);
} catch (const CppException &e) {
ex(e.what());
}
});
return ex;
}
NAMESPACE_BEGIN(detail)
PYBIND11_NOINLINE inline void print(tuple args, dict kwargs) {
auto strings = tuple(args.size());
for (size_t i = 0; i < args.size(); ++i) {
strings[i] = str(args[i]);
}
auto sep = kwargs.contains("sep") ? kwargs["sep"] : cast(" ");
auto line = sep.attr("join")(strings);
object file;
if (kwargs.contains("file")) {
file = kwargs["file"].cast<object>();
} else {
try {
file = module::import("sys").attr("stdout");
} catch (const error_already_set &) {
/* If print() is called from code that is executed as
part of garbage collection during interpreter shutdown,
importing 'sys' can fail. Give up rather than crashing the
interpreter in this case. */
return;
}
}
auto write = file.attr("write");
write(line);
write(kwargs.contains("end") ? kwargs["end"] : cast("\n"));
if (kwargs.contains("flush") && kwargs["flush"].cast<bool>())
file.attr("flush")();
}
NAMESPACE_END(detail)
template <return_value_policy policy = return_value_policy::automatic_reference, typename... Args>
void print(Args &&...args) {
auto c = detail::collect_arguments<policy>(std::forward<Args>(args)...);
detail::print(c.args(), c.kwargs());
}
#if defined(WITH_THREAD) && !defined(PYPY_VERSION)
/* The functions below essentially reproduce the PyGILState_* API using a RAII
* pattern, but there are a few important differences:
*
* 1. When acquiring the GIL from an non-main thread during the finalization
* phase, the GILState API blindly terminates the calling thread, which
* is often not what is wanted. This API does not do this.
*
* 2. The gil_scoped_release function can optionally cut the relationship
* of a PyThreadState and its associated thread, which allows moving it to
* another thread (this is a fairly rare/advanced use case).
*
* 3. The reference count of an acquired thread state can be controlled. This
* can be handy to prevent cases where callbacks issued from an external
* thread would otherwise constantly construct and destroy thread state data
* structures.
*
* See the Python bindings of NanoGUI (http://github.com/wjakob/nanogui) for an
* example which uses features 2 and 3 to migrate the Python thread of
* execution to another thread (to run the event loop on the original thread,
* in this case).
*/
class gil_scoped_acquire {
public:
PYBIND11_NOINLINE gil_scoped_acquire() {
auto const &internals = detail::get_internals();
tstate = (PyThreadState *) PyThread_get_key_value(internals.tstate);
if (!tstate) {
tstate = PyThreadState_New(internals.istate);
#if !defined(NDEBUG)
if (!tstate)
pybind11_fail("scoped_acquire: could not create thread state!");
#endif
tstate->gilstate_counter = 0;
#if PY_MAJOR_VERSION < 3
PyThread_delete_key_value(internals.tstate);
#endif
PyThread_set_key_value(internals.tstate, tstate);
} else {
release = detail::get_thread_state_unchecked() != tstate;
}
if (release) {
/* Work around an annoying assertion in PyThreadState_Swap */
#if defined(Py_DEBUG)
PyInterpreterState *interp = tstate->interp;
tstate->interp = nullptr;
#endif
PyEval_AcquireThread(tstate);
#if defined(Py_DEBUG)
tstate->interp = interp;
#endif
}
inc_ref();
}
void inc_ref() {
++tstate->gilstate_counter;
}
PYBIND11_NOINLINE void dec_ref() {
--tstate->gilstate_counter;
#if !defined(NDEBUG)
if (detail::get_thread_state_unchecked() != tstate)
pybind11_fail("scoped_acquire::dec_ref(): thread state must be current!");
if (tstate->gilstate_counter < 0)
pybind11_fail("scoped_acquire::dec_ref(): reference count underflow!");
#endif
if (tstate->gilstate_counter == 0) {
#if !defined(NDEBUG)
if (!release)
pybind11_fail("scoped_acquire::dec_ref(): internal error!");
#endif
PyThreadState_Clear(tstate);
PyThreadState_DeleteCurrent();
PyThread_delete_key_value(detail::get_internals().tstate);
release = false;
}
}
PYBIND11_NOINLINE ~gil_scoped_acquire() {
dec_ref();
if (release)
PyEval_SaveThread();
}
private:
PyThreadState *tstate = nullptr;
bool release = true;
};
class gil_scoped_release {
public:
explicit gil_scoped_release(bool disassoc = false) : disassoc(disassoc) {
// `get_internals()` must be called here unconditionally in order to initialize
// `internals.tstate` for subsequent `gil_scoped_acquire` calls. Otherwise, an
// initialization race could occur as multiple threads try `gil_scoped_acquire`.
const auto &internals = detail::get_internals();
tstate = PyEval_SaveThread();
if (disassoc) {
auto key = internals.tstate;
#if PY_MAJOR_VERSION < 3
PyThread_delete_key_value(key);
#else
PyThread_set_key_value(key, nullptr);
#endif
}
}
~gil_scoped_release() {
if (!tstate)
return;
PyEval_RestoreThread(tstate);
if (disassoc) {
auto key = detail::get_internals().tstate;
#if PY_MAJOR_VERSION < 3
PyThread_delete_key_value(key);
#endif
PyThread_set_key_value(key, tstate);
}
}
private:
PyThreadState *tstate;
bool disassoc;
};
#elif defined(PYPY_VERSION)
class gil_scoped_acquire {
PyGILState_STATE state;
public:
gil_scoped_acquire() { state = PyGILState_Ensure(); }
~gil_scoped_acquire() { PyGILState_Release(state); }
};
class gil_scoped_release {
PyThreadState *state;
public:
gil_scoped_release() { state = PyEval_SaveThread(); }
~gil_scoped_release() { PyEval_RestoreThread(state); }
};
#else
class gil_scoped_acquire { };
class gil_scoped_release { };
#endif
error_already_set::~error_already_set() {
if (type) {
gil_scoped_acquire gil;
type.release().dec_ref();
value.release().dec_ref();
trace.release().dec_ref();
}
}
inline function get_type_overload(const void *this_ptr, const detail::type_info *this_type, const char *name) {
handle self = detail::get_object_handle(this_ptr, this_type);
if (!self)
return function();
handle type = self.get_type();
auto key = std::make_pair(type.ptr(), name);
/* Cache functions that aren't overloaded in Python to avoid
many costly Python dictionary lookups below */
auto &cache = detail::get_internals().inactive_overload_cache;
if (cache.find(key) != cache.end())
return function();
function overload = getattr(self, name, function());
if (overload.is_cpp_function()) {
cache.insert(key);
return function();
}
/* Don't call dispatch code if invoked from overridden function.
Unfortunately this doesn't work on PyPy. */
#if !defined(PYPY_VERSION)
PyFrameObject *frame = PyThreadState_Get()->frame;
if (frame && (std::string) str(frame->f_code->co_name) == name &&
frame->f_code->co_argcount > 0) {
PyFrame_FastToLocals(frame);
PyObject *self_caller = PyDict_GetItem(
frame->f_locals, PyTuple_GET_ITEM(frame->f_code->co_varnames, 0));
if (self_caller == self.ptr())
return function();
}
#else
/* PyPy currently doesn't provide a detailed cpyext emulation of
frame objects, so we have to emulate this using Python. This
is going to be slow..*/
dict d; d["self"] = self; d["name"] = pybind11::str(name);
PyObject *result = PyRun_String(
"import inspect\n"
"frame = inspect.currentframe()\n"
"if frame is not None:\n"
" frame = frame.f_back\n"
" if frame is not None and str(frame.f_code.co_name) == name and "
"frame.f_code.co_argcount > 0:\n"
" self_caller = frame.f_locals[frame.f_code.co_varnames[0]]\n"
" if self_caller == self:\n"
" self = None\n",
Py_file_input, d.ptr(), d.ptr());
if (result == nullptr)
throw error_already_set();
if (d["self"].is_none())
return function();
Py_DECREF(result);
#endif
return overload;
}
template <class T> function get_overload(const T *this_ptr, const char *name) {
auto tinfo = detail::get_type_info(typeid(T));
return tinfo ? get_type_overload(this_ptr, tinfo, name) : function();
}
#define PYBIND11_OVERLOAD_INT(ret_type, cname, name, ...) { \
pybind11::gil_scoped_acquire gil; \
pybind11::function overload = pybind11::get_overload(static_cast<const cname *>(this), name); \
if (overload) { \
auto o = overload(__VA_ARGS__); \
if (pybind11::detail::cast_is_temporary_value_reference<ret_type>::value) { \
static pybind11::detail::overload_caster_t<ret_type> caster; \
return pybind11::detail::cast_ref<ret_type>(std::move(o), caster); \
} \
else return pybind11::detail::cast_safe<ret_type>(std::move(o)); \
} \
}
#define PYBIND11_OVERLOAD_NAME(ret_type, cname, name, fn, ...) \
PYBIND11_OVERLOAD_INT(ret_type, cname, name, __VA_ARGS__) \
return cname::fn(__VA_ARGS__)
#define PYBIND11_OVERLOAD_PURE_NAME(ret_type, cname, name, fn, ...) \
PYBIND11_OVERLOAD_INT(ret_type, cname, name, __VA_ARGS__) \
pybind11::pybind11_fail("Tried to call pure virtual function \"" #cname "::" name "\"");
#define PYBIND11_OVERLOAD(ret_type, cname, fn, ...) \
PYBIND11_OVERLOAD_NAME(ret_type, cname, #fn, fn, __VA_ARGS__)
#define PYBIND11_OVERLOAD_PURE(ret_type, cname, fn, ...) \
PYBIND11_OVERLOAD_PURE_NAME(ret_type, cname, #fn, fn, __VA_ARGS__)
NAMESPACE_END(pybind11)
#if defined(_MSC_VER)
# pragma warning(pop)
#elif defined(__INTEL_COMPILER)
/* Leave ignored warnings on */
#elif defined(__GNUG__) && !defined(__clang__)
# pragma GCC diagnostic pop
#endif
ppocr/postprocess/lanms/include/pybind11/pytypes.h 0 → 100644
View file @ b0171a71
/*
pybind11/typeid.h: Convenience wrapper classes for basic Python types
Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include "common.h"
#include "buffer_info.h"
#include <utility>
#include <type_traits>
NAMESPACE_BEGIN(pybind11)
/* A few forward declarations */
class handle; class object;
class str; class iterator;
struct arg; struct arg_v;
NAMESPACE_BEGIN(detail)
class args_proxy;
inline bool isinstance_generic(handle obj, const std::type_info &tp);
// Accessor forward declarations
template <typename Policy> class accessor;
namespace accessor_policies {
struct obj_attr;
struct str_attr;
struct generic_item;
struct sequence_item;
struct list_item;
struct tuple_item;
}
using obj_attr_accessor = accessor<accessor_policies::obj_attr>;
using str_attr_accessor = accessor<accessor_policies::str_attr>;
using item_accessor = accessor<accessor_policies::generic_item>;
using sequence_accessor = accessor<accessor_policies::sequence_item>;
using list_accessor = accessor<accessor_policies::list_item>;
using tuple_accessor = accessor<accessor_policies::tuple_item>;
/// Tag and check to identify a class which implements the Python object API
class pyobject_tag { };
template <typename T> using is_pyobject = std::is_base_of<pyobject_tag, remove_reference_t<T>>;
/** \rst
A mixin class which adds common functions to `handle`, `object` and various accessors.
The only requirement for `Derived` is to implement ``PyObject *Derived::ptr() const``.
\endrst */
template <typename Derived>
class object_api : public pyobject_tag {
const Derived &derived() const { return static_cast<const Derived &>(*this); }
public:
/** \rst
Return an iterator equivalent to calling ``iter()`` in Python. The object
must be a collection which supports the iteration protocol.
\endrst */
iterator begin() const;
/// Return a sentinel which ends iteration.
iterator end() const;
/** \rst
Return an internal functor to invoke the object's sequence protocol. Casting
the returned ``detail::item_accessor`` instance to a `handle` or `object`
subclass causes a corresponding call to ``__getitem__``. Assigning a `handle`
or `object` subclass causes a call to ``__setitem__``.
\endrst */
item_accessor operator[](handle key) const;
/// See above (the only difference is that they key is provided as a string literal)
item_accessor operator[](const char *key) const;
/** \rst
Return an internal functor to access the object's attributes. Casting the
returned ``detail::obj_attr_accessor`` instance to a `handle` or `object`
subclass causes a corresponding call to ``getattr``. Assigning a `handle`
or `object` subclass causes a call to ``setattr``.
\endrst */
obj_attr_accessor attr(handle key) const;
/// See above (the only difference is that they key is provided as a string literal)
str_attr_accessor attr(const char *key) const;
/** \rst
Matches * unpacking in Python, e.g. to unpack arguments out of a ``tuple``
or ``list`` for a function call. Applying another * to the result yields
** unpacking, e.g. to unpack a dict as function keyword arguments.
See :ref:`calling_python_functions`.
\endrst */
args_proxy operator*() const;
/// Check if the given item is contained within this object, i.e. ``item in obj``.
template <typename T> bool contains(T &&item) const;
/** \rst
Assuming the Python object is a function or implements the ``__call__``
protocol, ``operator()`` invokes the underlying function, passing an
arbitrary set of parameters. The result is returned as a `object` and
may need to be converted back into a Python object using `handle::cast()`.
When some of the arguments cannot be converted to Python objects, the
function will throw a `cast_error` exception. When the Python function
call fails, a `error_already_set` exception is thrown.
\endrst */
template <return_value_policy policy = return_value_policy::automatic_reference, typename... Args>
object operator()(Args &&...args) const;
template <return_value_policy policy = return_value_policy::automatic_reference, typename... Args>
PYBIND11_DEPRECATED("call(...) was deprecated in favor of operator()(...)")
object call(Args&&... args) const;
/// Equivalent to ``obj is other`` in Python.
bool is(object_api const& other) const { return derived().ptr() == other.derived().ptr(); }
/// Equivalent to ``obj is None`` in Python.
bool is_none() const { return derived().ptr() == Py_None; }
PYBIND11_DEPRECATED("Use py::str(obj) instead")
pybind11::str str() const;
/// Get or set the object's docstring, i.e. ``obj.__doc__``.
str_attr_accessor doc() const;
/// Return the object's current reference count
int ref_count() const { return static_cast<int>(Py_REFCNT(derived().ptr())); }
/// Return a handle to the Python type object underlying the instance
handle get_type() const;
};
NAMESPACE_END(detail)
/** \rst
Holds a reference to a Python object (no reference counting)
The `handle` class is a thin wrapper around an arbitrary Python object (i.e. a
``PyObject *`` in Python's C API). It does not perform any automatic reference
counting and merely provides a basic C++ interface to various Python API functions.
.. seealso::
The `object` class inherits from `handle` and adds automatic reference
counting features.
\endrst */
class handle : public detail::object_api<handle> {
public:
/// The default constructor creates a handle with a ``nullptr``-valued pointer
handle() = default;
/// Creates a ``handle`` from the given raw Python object pointer
handle(PyObject *ptr) : m_ptr(ptr) { } // Allow implicit conversion from PyObject*
/// Return the underlying ``PyObject *`` pointer
PyObject *ptr() const { return m_ptr; }
PyObject *&ptr() { return m_ptr; }
/** \rst
Manually increase the reference count of the Python object. Usually, it is
preferable to use the `object` class which derives from `handle` and calls
this function automatically. Returns a reference to itself.
\endrst */
const handle& inc_ref() const & { Py_XINCREF(m_ptr); return *this; }
/** \rst
Manually decrease the reference count of the Python object. Usually, it is
preferable to use the `object` class which derives from `handle` and calls
this function automatically. Returns a reference to itself.
\endrst */
const handle& dec_ref() const & { Py_XDECREF(m_ptr); return *this; }
/** \rst
Attempt to cast the Python object into the given C++ type. A `cast_error`
will be throw upon failure.
\endrst */
template <typename T> T cast() const;
/// Return ``true`` when the `handle` wraps a valid Python object
explicit operator bool() const { return m_ptr != nullptr; }
/** \rst
Deprecated: Check that the underlying pointers are the same.
Equivalent to ``obj1 is obj2`` in Python.
\endrst */
PYBIND11_DEPRECATED("Use obj1.is(obj2) instead")
bool operator==(const handle &h) const { return m_ptr == h.m_ptr; }
PYBIND11_DEPRECATED("Use !obj1.is(obj2) instead")
bool operator!=(const handle &h) const { return m_ptr != h.m_ptr; }
PYBIND11_DEPRECATED("Use handle::operator bool() instead")
bool check() const { return m_ptr != nullptr; }
protected:
PyObject *m_ptr = nullptr;
};
/** \rst
Holds a reference to a Python object (with reference counting)
Like `handle`, the `object` class is a thin wrapper around an arbitrary Python
object (i.e. a ``PyObject *`` in Python's C API). In contrast to `handle`, it
optionally increases the object's reference count upon construction, and it
*always* decreases the reference count when the `object` instance goes out of
scope and is destructed. When using `object` instances consistently, it is much
easier to get reference counting right at the first attempt.
\endrst */
class object : public handle {
public:
object() = default;
PYBIND11_DEPRECATED("Use reinterpret_borrow<object>() or reinterpret_steal<object>()")
object(handle h, bool is_borrowed) : handle(h) { if (is_borrowed) inc_ref(); }
/// Copy constructor; always increases the reference count
object(const object &o) : handle(o) { inc_ref(); }
/// Move constructor; steals the object from ``other`` and preserves its reference count
object(object &&other) noexcept { m_ptr = other.m_ptr; other.m_ptr = nullptr; }
/// Destructor; automatically calls `handle::dec_ref()`
~object() { dec_ref(); }
/** \rst
Resets the internal pointer to ``nullptr`` without without decreasing the
object's reference count. The function returns a raw handle to the original
Python object.
\endrst */
handle release() {
PyObject *tmp = m_ptr;
m_ptr = nullptr;
return handle(tmp);
}
object& operator=(const object &other) {
other.inc_ref();
dec_ref();
m_ptr = other.m_ptr;
return *this;
}
object& operator=(object &&other) noexcept {
if (this != &other) {
handle temp(m_ptr);
m_ptr = other.m_ptr;
other.m_ptr = nullptr;
temp.dec_ref();
}
return *this;
}
// Calling cast() on an object lvalue just copies (via handle::cast)
template <typename T> T cast() const &;
// Calling on an object rvalue does a move, if needed and/or possible
template <typename T> T cast() &&;
protected:
// Tags for choosing constructors from raw PyObject *
struct borrowed_t { };
struct stolen_t { };
template <typename T> friend T reinterpret_borrow(handle);
template <typename T> friend T reinterpret_steal(handle);
public:
// Only accessible from derived classes and the reinterpret_* functions
object(handle h, borrowed_t) : handle(h) { inc_ref(); }
object(handle h, stolen_t) : handle(h) { }
};
/** \rst
Declare that a `handle` or ``PyObject *`` is a certain type and borrow the reference.
The target type ``T`` must be `object` or one of its derived classes. The function
doesn't do any conversions or checks. It's up to the user to make sure that the
target type is correct.
.. code-block:: cpp
PyObject *p = PyList_GetItem(obj, index);
py::object o = reinterpret_borrow<py::object>(p);
// or
py::tuple t = reinterpret_borrow<py::tuple>(p); // <-- `p` must be already be a `tuple`
\endrst */
template <typename T> T reinterpret_borrow(handle h) { return {h, object::borrowed_t{}}; }
/** \rst
Like `reinterpret_borrow`, but steals the reference.
.. code-block:: cpp
PyObject *p = PyObject_Str(obj);
py::str s = reinterpret_steal<py::str>(p); // <-- `p` must be already be a `str`
\endrst */
template <typename T> T reinterpret_steal(handle h) { return {h, object::stolen_t{}}; }
NAMESPACE_BEGIN(detail)
inline std::string error_string();
NAMESPACE_END(detail)
/// Fetch and hold an error which was already set in Python. An instance of this is typically
/// thrown to propagate python-side errors back through C++ which can either be caught manually or
/// else falls back to the function dispatcher (which then raises the captured error back to
/// python).
class error_already_set : public std::runtime_error {
public:
/// Constructs a new exception from the current Python error indicator, if any. The current
/// Python error indicator will be cleared.
error_already_set() : std::runtime_error(detail::error_string()) {
PyErr_Fetch(&type.ptr(), &value.ptr(), &trace.ptr());
}
inline ~error_already_set();
/// Give the currently-held error back to Python, if any. If there is currently a Python error
/// already set it is cleared first. After this call, the current object no longer stores the
/// error variables (but the `.what()` string is still available).
void restore() { PyErr_Restore(type.release().ptr(), value.release().ptr(), trace.release().ptr()); }
// Does nothing; provided for backwards compatibility.
PYBIND11_DEPRECATED("Use of error_already_set.clear() is deprecated")
void clear() {}
/// Check if the currently trapped error type matches the given Python exception class (or a
/// subclass thereof). May also be passed a tuple to search for any exception class matches in
/// the given tuple.
bool matches(handle ex) const { return PyErr_GivenExceptionMatches(ex.ptr(), type.ptr()); }
private:
object type, value, trace;
};
/** \defgroup python_builtins _
Unless stated otherwise, the following C++ functions behave the same
as their Python counterparts.
*/
/** \ingroup python_builtins
\rst
Return true if ``obj`` is an instance of ``T``. Type ``T`` must be a subclass of
`object` or a class which was exposed to Python as ``py::class_<T>``.
\endrst */
template <typename T, detail::enable_if_t<std::is_base_of<object, T>::value, int> = 0>
bool isinstance(handle obj) { return T::check_(obj); }
template <typename T, detail::enable_if_t<!std::is_base_of<object, T>::value, int> = 0>
bool isinstance(handle obj) { return detail::isinstance_generic(obj, typeid(T)); }
template <> inline bool isinstance<handle>(handle obj) = delete;
template <> inline bool isinstance<object>(handle obj) { return obj.ptr() != nullptr; }
/// \ingroup python_builtins
/// Return true if ``obj`` is an instance of the ``type``.
inline bool isinstance(handle obj, handle type) {
const auto result = PyObject_IsInstance(obj.ptr(), type.ptr());
if (result == -1)
throw error_already_set();
return result != 0;
}
/// \addtogroup python_builtins
/// @{
inline bool hasattr(handle obj, handle name) {
return PyObject_HasAttr(obj.ptr(), name.ptr()) == 1;
}
inline bool hasattr(handle obj, const char *name) {
return PyObject_HasAttrString(obj.ptr(), name) == 1;
}
inline object getattr(handle obj, handle name) {
PyObject *result = PyObject_GetAttr(obj.ptr(), name.ptr());
if (!result) { throw error_already_set(); }
return reinterpret_steal<object>(result);
}
inline object getattr(handle obj, const char *name) {
PyObject *result = PyObject_GetAttrString(obj.ptr(), name);
if (!result) { throw error_already_set(); }
return reinterpret_steal<object>(result);
}
inline object getattr(handle obj, handle name, handle default_) {
if (PyObject *result = PyObject_GetAttr(obj.ptr(), name.ptr())) {
return reinterpret_steal<object>(result);
} else {
PyErr_Clear();
return reinterpret_borrow<object>(default_);
}
}
inline object getattr(handle obj, const char *name, handle default_) {
if (PyObject *result = PyObject_GetAttrString(obj.ptr(), name)) {
return reinterpret_steal<object>(result);
} else {
PyErr_Clear();
return reinterpret_borrow<object>(default_);
}
}
inline void setattr(handle obj, handle name, handle value) {
if (PyObject_SetAttr(obj.ptr(), name.ptr(), value.ptr()) != 0) { throw error_already_set(); }
}
inline void setattr(handle obj, const char *name, handle value) {
if (PyObject_SetAttrString(obj.ptr(), name, value.ptr()) != 0) { throw error_already_set(); }
}
/// @} python_builtins
NAMESPACE_BEGIN(detail)
inline handle get_function(handle value) {
if (value) {
#if PY_MAJOR_VERSION >= 3
if (PyInstanceMethod_Check(value.ptr()))
value = PyInstanceMethod_GET_FUNCTION(value.ptr());
else
#endif
if (PyMethod_Check(value.ptr()))
value = PyMethod_GET_FUNCTION(value.ptr());
}
return value;
}
// Helper aliases/functions to support implicit casting of values given to python accessors/methods.
// When given a pyobject, this simply returns the pyobject as-is; for other C++ type, the value goes
// through pybind11::cast(obj) to convert it to an `object`.
template <typename T, enable_if_t<is_pyobject<T>::value, int> = 0>
auto object_or_cast(T &&o) -> decltype(std::forward<T>(o)) { return std::forward<T>(o); }
// The following casting version is implemented in cast.h:
template <typename T, enable_if_t<!is_pyobject<T>::value, int> = 0>
object object_or_cast(T &&o);
// Match a PyObject*, which we want to convert directly to handle via its converting constructor
inline handle object_or_cast(PyObject *ptr) { return ptr; }
template <typename Policy>
class accessor : public object_api<accessor<Policy>> {
using key_type = typename Policy::key_type;
public:
accessor(handle obj, key_type key) : obj(obj), key(std::move(key)) { }
accessor(const accessor &a) = default;
accessor(accessor &&a) = default;
// accessor overload required to override default assignment operator (templates are not allowed
// to replace default compiler-generated assignments).
void operator=(const accessor &a) && { std::move(*this).operator=(handle(a)); }
void operator=(const accessor &a) & { operator=(handle(a)); }
template <typename T> void operator=(T &&value) && {
Policy::set(obj, key, object_or_cast(std::forward<T>(value)));
}
template <typename T> void operator=(T &&value) & {
get_cache() = reinterpret_borrow<object>(object_or_cast(std::forward<T>(value)));
}
template <typename T = Policy>
PYBIND11_DEPRECATED("Use of obj.attr(...) as bool is deprecated in favor of pybind11::hasattr(obj, ...)")
explicit operator enable_if_t<std::is_same<T, accessor_policies::str_attr>::value ||
std::is_same<T, accessor_policies::obj_attr>::value, bool>() const {
return hasattr(obj, key);
}
template <typename T = Policy>
PYBIND11_DEPRECATED("Use of obj[key] as bool is deprecated in favor of obj.contains(key)")
explicit operator enable_if_t<std::is_same<T, accessor_policies::generic_item>::value, bool>() const {
return obj.contains(key);
}
operator object() const { return get_cache(); }
PyObject *ptr() const { return get_cache().ptr(); }
template <typename T> T cast() const { return get_cache().template cast<T>(); }
private:
object &get_cache() const {
if (!cache) { cache = Policy::get(obj, key); }
return cache;
}
private:
handle obj;
key_type key;
mutable object cache;
};
NAMESPACE_BEGIN(accessor_policies)
struct obj_attr {
using key_type = object;
static object get(handle obj, handle key) { return getattr(obj, key); }
static void set(handle obj, handle key, handle val) { setattr(obj, key, val); }
};
struct str_attr {
using key_type = const char *;
static object get(handle obj, const char *key) { return getattr(obj, key); }
static void set(handle obj, const char *key, handle val) { setattr(obj, key, val); }
};
struct generic_item {
using key_type = object;
static object get(handle obj, handle key) {
PyObject *result = PyObject_GetItem(obj.ptr(), key.ptr());
if (!result) { throw error_already_set(); }
return reinterpret_steal<object>(result);
}
static void set(handle obj, handle key, handle val) {
if (PyObject_SetItem(obj.ptr(), key.ptr(), val.ptr()) != 0) { throw error_already_set(); }
}
};
struct sequence_item {
using key_type = size_t;
static object get(handle obj, size_t index) {
PyObject *result = PySequence_GetItem(obj.ptr(), static_cast<ssize_t>(index));
if (!result) { throw error_already_set(); }
return reinterpret_steal<object>(result);
}
static void set(handle obj, size_t index, handle val) {
// PySequence_SetItem does not steal a reference to 'val'
if (PySequence_SetItem(obj.ptr(), static_cast<ssize_t>(index), val.ptr()) != 0) {
throw error_already_set();
}
}
};
struct list_item {
using key_type = size_t;
static object get(handle obj, size_t index) {
PyObject *result = PyList_GetItem(obj.ptr(), static_cast<ssize_t>(index));
if (!result) { throw error_already_set(); }
return reinterpret_borrow<object>(result);
}
static void set(handle obj, size_t index, handle val) {
// PyList_SetItem steals a reference to 'val'
if (PyList_SetItem(obj.ptr(), static_cast<ssize_t>(index), val.inc_ref().ptr()) != 0) {
throw error_already_set();
}
}
};
struct tuple_item {
using key_type = size_t;
static object get(handle obj, size_t index) {
PyObject *result = PyTuple_GetItem(obj.ptr(), static_cast<ssize_t>(index));
if (!result) { throw error_already_set(); }
return reinterpret_borrow<object>(result);
}
static void set(handle obj, size_t index, handle val) {
// PyTuple_SetItem steals a reference to 'val'
if (PyTuple_SetItem(obj.ptr(), static_cast<ssize_t>(index), val.inc_ref().ptr()) != 0) {
throw error_already_set();
}
}
};
NAMESPACE_END(accessor_policies)
/// STL iterator template used for tuple, list, sequence and dict
template <typename Policy>
class generic_iterator : public Policy {
using It = generic_iterator;
public:
using difference_type = ssize_t;
using iterator_category = typename Policy::iterator_category;
using value_type = typename Policy::value_type;
using reference = typename Policy::reference;
using pointer = typename Policy::pointer;
generic_iterator() = default;
generic_iterator(handle seq, ssize_t index) : Policy(seq, index) { }
reference operator*() const { return Policy::dereference(); }
reference operator[](difference_type n) const { return *(*this + n); }
pointer operator->() const { return **this; }
It &operator++() { Policy::increment(); return *this; }
It operator++(int) { auto copy = *this; Policy::increment(); return copy; }
It &operator--() { Policy::decrement(); return *this; }
It operator--(int) { auto copy = *this; Policy::decrement(); return copy; }
It &operator+=(difference_type n) { Policy::advance(n); return *this; }
It &operator-=(difference_type n) { Policy::advance(-n); return *this; }
friend It operator+(const It &a, difference_type n) { auto copy = a; return copy += n; }
friend It operator+(difference_type n, const It &b) { return b + n; }
friend It operator-(const It &a, difference_type n) { auto copy = a; return copy -= n; }
friend difference_type operator-(const It &a, const It &b) { return a.distance_to(b); }
friend bool operator==(const It &a, const It &b) { return a.equal(b); }
friend bool operator!=(const It &a, const It &b) { return !(a == b); }
friend bool operator< (const It &a, const It &b) { return b - a > 0; }
friend bool operator> (const It &a, const It &b) { return b < a; }
friend bool operator>=(const It &a, const It &b) { return !(a < b); }
friend bool operator<=(const It &a, const It &b) { return !(a > b); }
};
NAMESPACE_BEGIN(iterator_policies)
/// Quick proxy class needed to implement ``operator->`` for iterators which can't return pointers
template <typename T>
struct arrow_proxy {
T value;
arrow_proxy(T &&value) : value(std::move(value)) { }
T *operator->() const { return &value; }
};
/// Lightweight iterator policy using just a simple pointer: see ``PySequence_Fast_ITEMS``
class sequence_fast_readonly {
protected:
using iterator_category = std::random_access_iterator_tag;
using value_type = handle;
using reference = const handle;
using pointer = arrow_proxy<const handle>;
sequence_fast_readonly(handle obj, ssize_t n) : ptr(PySequence_Fast_ITEMS(obj.ptr()) + n) { }
reference dereference() const { return *ptr; }
void increment() { ++ptr; }
void decrement() { --ptr; }
void advance(ssize_t n) { ptr += n; }
bool equal(const sequence_fast_readonly &b) const { return ptr == b.ptr; }
ssize_t distance_to(const sequence_fast_readonly &b) const { return ptr - b.ptr; }
private:
PyObject **ptr;
};
/// Full read and write access using the sequence protocol: see ``detail::sequence_accessor``
class sequence_slow_readwrite {
protected:
using iterator_category = std::random_access_iterator_tag;
using value_type = object;
using reference = sequence_accessor;
using pointer = arrow_proxy<const sequence_accessor>;
sequence_slow_readwrite(handle obj, ssize_t index) : obj(obj), index(index) { }
reference dereference() const { return {obj, static_cast<size_t>(index)}; }
void increment() { ++index; }
void decrement() { --index; }
void advance(ssize_t n) { index += n; }
bool equal(const sequence_slow_readwrite &b) const { return index == b.index; }
ssize_t distance_to(const sequence_slow_readwrite &b) const { return index - b.index; }
private:
handle obj;
ssize_t index;
};
/// Python's dictionary protocol permits this to be a forward iterator
class dict_readonly {
protected:
using iterator_category = std::forward_iterator_tag;
using value_type = std::pair<handle, handle>;
using reference = const value_type;
using pointer = arrow_proxy<const value_type>;
dict_readonly() = default;
dict_readonly(handle obj, ssize_t pos) : obj(obj), pos(pos) { increment(); }
reference dereference() const { return {key, value}; }
void increment() { if (!PyDict_Next(obj.ptr(), &pos, &key, &value)) { pos = -1; } }
bool equal(const dict_readonly &b) const { return pos == b.pos; }
private:
handle obj;
PyObject *key, *value;
ssize_t pos = -1;
};
NAMESPACE_END(iterator_policies)
#if !defined(PYPY_VERSION)
using tuple_iterator = generic_iterator<iterator_policies::sequence_fast_readonly>;
using list_iterator = generic_iterator<iterator_policies::sequence_fast_readonly>;
#else
using tuple_iterator = generic_iterator<iterator_policies::sequence_slow_readwrite>;
using list_iterator = generic_iterator<iterator_policies::sequence_slow_readwrite>;
#endif
using sequence_iterator = generic_iterator<iterator_policies::sequence_slow_readwrite>;
using dict_iterator = generic_iterator<iterator_policies::dict_readonly>;
inline bool PyIterable_Check(PyObject *obj) {
PyObject *iter = PyObject_GetIter(obj);
if (iter) {
Py_DECREF(iter);
return true;
} else {
PyErr_Clear();
return false;
}
}
inline bool PyNone_Check(PyObject *o) { return o == Py_None; }
inline bool PyUnicode_Check_Permissive(PyObject *o) { return PyUnicode_Check(o) || PYBIND11_BYTES_CHECK(o); }
class kwargs_proxy : public handle {
public:
explicit kwargs_proxy(handle h) : handle(h) { }
};
class args_proxy : public handle {
public:
explicit args_proxy(handle h) : handle(h) { }
kwargs_proxy operator*() const { return kwargs_proxy(*this); }
};
/// Python argument categories (using PEP 448 terms)
template <typename T> using is_keyword = std::is_base_of<arg, T>;
template <typename T> using is_s_unpacking = std::is_same<args_proxy, T>; // * unpacking
template <typename T> using is_ds_unpacking = std::is_same<kwargs_proxy, T>; // ** unpacking
template <typename T> using is_positional = satisfies_none_of<T,
is_keyword, is_s_unpacking, is_ds_unpacking
>;
template <typename T> using is_keyword_or_ds = satisfies_any_of<T, is_keyword, is_ds_unpacking>;
// Call argument collector forward declarations
template <return_value_policy policy = return_value_policy::automatic_reference>
class simple_collector;
template <return_value_policy policy = return_value_policy::automatic_reference>
class unpacking_collector;
NAMESPACE_END(detail)
// TODO: After the deprecated constructors are removed, this macro can be simplified by
// inheriting ctors: `using Parent::Parent`. It's not an option right now because
// the `using` statement triggers the parent deprecation warning even if the ctor
// isn't even used.
#define PYBIND11_OBJECT_COMMON(Name, Parent, CheckFun) \
public: \
PYBIND11_DEPRECATED("Use reinterpret_borrow<"#Name">() or reinterpret_steal<"#Name">()") \
Name(handle h, bool is_borrowed) : Parent(is_borrowed ? Parent(h, borrowed_t{}) : Parent(h, stolen_t{})) { } \
Name(handle h, borrowed_t) : Parent(h, borrowed_t{}) { } \
Name(handle h, stolen_t) : Parent(h, stolen_t{}) { } \
PYBIND11_DEPRECATED("Use py::isinstance<py::python_type>(obj) instead") \
bool check() const { return m_ptr != nullptr && (bool) CheckFun(m_ptr); } \
static bool check_(handle h) { return h.ptr() != nullptr && CheckFun(h.ptr()); }
#define PYBIND11_OBJECT_CVT(Name, Parent, CheckFun, ConvertFun) \
PYBIND11_OBJECT_COMMON(Name, Parent, CheckFun) \
/* This is deliberately not 'explicit' to allow implicit conversion from object: */ \
Name(const object &o) : Parent(ConvertFun(o.ptr()), stolen_t{}) { if (!m_ptr) throw error_already_set(); }
#define PYBIND11_OBJECT(Name, Parent, CheckFun) \
PYBIND11_OBJECT_COMMON(Name, Parent, CheckFun) \
/* This is deliberately not 'explicit' to allow implicit conversion from object: */ \
Name(const object &o) : Parent(o) { } \
Name(object &&o) : Parent(std::move(o)) { }
#define PYBIND11_OBJECT_DEFAULT(Name, Parent, CheckFun) \
PYBIND11_OBJECT(Name, Parent, CheckFun) \
Name() : Parent() { }
/// \addtogroup pytypes
/// @{
/** \rst
Wraps a Python iterator so that it can also be used as a C++ input iterator
Caveat: copying an iterator does not (and cannot) clone the internal
state of the Python iterable. This also applies to the post-increment
operator. This iterator should only be used to retrieve the current
value using ``operator*()``.
\endrst */
class iterator : public object {
public:
using iterator_category = std::input_iterator_tag;
using difference_type = ssize_t;
using value_type = handle;
using reference = const handle;
using pointer = const handle *;
PYBIND11_OBJECT_DEFAULT(iterator, object, PyIter_Check)
iterator& operator++() {
advance();
return *this;
}
iterator operator++(int) {
auto rv = *this;
advance();
return rv;
}
reference operator*() const {
if (m_ptr && !value.ptr()) {
auto& self = const_cast<iterator &>(*this);
self.advance();
}
return value;
}
pointer operator->() const { operator*(); return &value; }
/** \rst
The value which marks the end of the iteration. ``it == iterator::sentinel()``
is equivalent to catching ``StopIteration`` in Python.
.. code-block:: cpp
void foo(py::iterator it) {
while (it != py::iterator::sentinel()) {
// use `*it`
++it;
}
}
\endrst */
static iterator sentinel() { return {}; }
friend bool operator==(const iterator &a, const iterator &b) { return a->ptr() == b->ptr(); }
friend bool operator!=(const iterator &a, const iterator &b) { return a->ptr() != b->ptr(); }
private:
void advance() {
value = reinterpret_steal<object>(PyIter_Next(m_ptr));
if (PyErr_Occurred()) { throw error_already_set(); }
}
private:
object value = {};
};
class iterable : public object {
public:
PYBIND11_OBJECT_DEFAULT(iterable, object, detail::PyIterable_Check)
};
class bytes;
class str : public object {
public:
PYBIND11_OBJECT_CVT(str, object, detail::PyUnicode_Check_Permissive, raw_str)
str(const char *c, size_t n)
: object(PyUnicode_FromStringAndSize(c, (ssize_t) n), stolen_t{}) {
if (!m_ptr) pybind11_fail("Could not allocate string object!");
}
// 'explicit' is explicitly omitted from the following constructors to allow implicit conversion to py::str from C++ string-like objects
str(const char *c = "")
: object(PyUnicode_FromString(c), stolen_t{}) {
if (!m_ptr) pybind11_fail("Could not allocate string object!");
}
str(const std::string &s) : str(s.data(), s.size()) { }
explicit str(const bytes &b);
/** \rst
Return a string representation of the object. This is analogous to
the ``str()`` function in Python.
\endrst */
explicit str(handle h) : object(raw_str(h.ptr()), stolen_t{}) { }
operator std::string() const {
object temp = *this;
if (PyUnicode_Check(m_ptr)) {
temp = reinterpret_steal<object>(PyUnicode_AsUTF8String(m_ptr));
if (!temp)
pybind11_fail("Unable to extract string contents! (encoding issue)");
}
char *buffer;
ssize_t length;
if (PYBIND11_BYTES_AS_STRING_AND_SIZE(temp.ptr(), &buffer, &length))
pybind11_fail("Unable to extract string contents! (invalid type)");
return std::string(buffer, (size_t) length);
}
template <typename... Args>
str format(Args &&...args) const {
return attr("format")(std::forward<Args>(args)...);
}
private:
/// Return string representation -- always returns a new reference, even if already a str
static PyObject *raw_str(PyObject *op) {
PyObject *str_value = PyObject_Str(op);
#if PY_MAJOR_VERSION < 3
if (!str_value) throw error_already_set();
PyObject *unicode = PyUnicode_FromEncodedObject(str_value, "utf-8", nullptr);
Py_XDECREF(str_value); str_value = unicode;
#endif
return str_value;
}
};
/// @} pytypes
inline namespace literals {
/** \rst
String literal version of `str`
\endrst */
inline str operator"" _s(const char *s, size_t size) { return {s, size}; }
}
/// \addtogroup pytypes
/// @{
class bytes : public object {
public:
PYBIND11_OBJECT(bytes, object, PYBIND11_BYTES_CHECK)
// Allow implicit conversion:
bytes(const char *c = "")
: object(PYBIND11_BYTES_FROM_STRING(c), stolen_t{}) {
if (!m_ptr) pybind11_fail("Could not allocate bytes object!");
}
bytes(const char *c, size_t n)
: object(PYBIND11_BYTES_FROM_STRING_AND_SIZE(c, (ssize_t) n), stolen_t{}) {
if (!m_ptr) pybind11_fail("Could not allocate bytes object!");
}
// Allow implicit conversion:
bytes(const std::string &s) : bytes(s.data(), s.size()) { }
explicit bytes(const pybind11::str &s);
operator std::string() const {
char *buffer;
ssize_t length;
if (PYBIND11_BYTES_AS_STRING_AND_SIZE(m_ptr, &buffer, &length))
pybind11_fail("Unable to extract bytes contents!");
return std::string(buffer, (size_t) length);
}
};
inline bytes::bytes(const pybind11::str &s) {
object temp = s;
if (PyUnicode_Check(s.ptr())) {
temp = reinterpret_steal<object>(PyUnicode_AsUTF8String(s.ptr()));
if (!temp)
pybind11_fail("Unable to extract string contents! (encoding issue)");
}
char *buffer;
ssize_t length;
if (PYBIND11_BYTES_AS_STRING_AND_SIZE(temp.ptr(), &buffer, &length))
pybind11_fail("Unable to extract string contents! (invalid type)");
auto obj = reinterpret_steal<object>(PYBIND11_BYTES_FROM_STRING_AND_SIZE(buffer, length));
if (!obj)
pybind11_fail("Could not allocate bytes object!");
m_ptr = obj.release().ptr();
}
inline str::str(const bytes& b) {
char *buffer;
ssize_t length;
if (PYBIND11_BYTES_AS_STRING_AND_SIZE(b.ptr(), &buffer, &length))
pybind11_fail("Unable to extract bytes contents!");
auto obj = reinterpret_steal<object>(PyUnicode_FromStringAndSize(buffer, (ssize_t) length));
if (!obj)
pybind11_fail("Could not allocate string object!");
m_ptr = obj.release().ptr();
}
class none : public object {
public:
PYBIND11_OBJECT(none, object, detail::PyNone_Check)
none() : object(Py_None, borrowed_t{}) { }
};
class bool_ : public object {
public:
PYBIND11_OBJECT_CVT(bool_, object, PyBool_Check, raw_bool)
bool_() : object(Py_False, borrowed_t{}) { }
// Allow implicit conversion from and to `bool`:
bool_(bool value) : object(value ? Py_True : Py_False, borrowed_t{}) { }
operator bool() const { return m_ptr && PyLong_AsLong(m_ptr) != 0; }
private:
/// Return the truth value of an object -- always returns a new reference
static PyObject *raw_bool(PyObject *op) {
const auto value = PyObject_IsTrue(op);
if (value == -1) return nullptr;
return handle(value ? Py_True : Py_False).inc_ref().ptr();
}
};
NAMESPACE_BEGIN(detail)
// Converts a value to the given unsigned type. If an error occurs, you get back (Unsigned) -1;
// otherwise you get back the unsigned long or unsigned long long value cast to (Unsigned).
// (The distinction is critically important when casting a returned -1 error value to some other
// unsigned type: (A)-1 != (B)-1 when A and B are unsigned types of different sizes).
template <typename Unsigned>
Unsigned as_unsigned(PyObject *o) {
if (sizeof(Unsigned) <= sizeof(unsigned long)
#if PY_VERSION_HEX < 0x03000000
|| PyInt_Check(o)
#endif
) {
unsigned long v = PyLong_AsUnsignedLong(o);
return v == (unsigned long) -1 && PyErr_Occurred() ? (Unsigned) -1 : (Unsigned) v;
}
else {
unsigned long long v = PyLong_AsUnsignedLongLong(o);
return v == (unsigned long long) -1 && PyErr_Occurred() ? (Unsigned) -1 : (Unsigned) v;
}
}
NAMESPACE_END(detail)
class int_ : public object {
public:
PYBIND11_OBJECT_CVT(int_, object, PYBIND11_LONG_CHECK, PyNumber_Long)
int_() : object(PyLong_FromLong(0), stolen_t{}) { }
// Allow implicit conversion from C++ integral types:
template <typename T,
detail::enable_if_t<std::is_integral<T>::value, int> = 0>
int_(T value) {
if (sizeof(T) <= sizeof(long)) {
if (std::is_signed<T>::value)
m_ptr = PyLong_FromLong((long) value);
else
m_ptr = PyLong_FromUnsignedLong((unsigned long) value);
} else {
if (std::is_signed<T>::value)
m_ptr = PyLong_FromLongLong((long long) value);
else
m_ptr = PyLong_FromUnsignedLongLong((unsigned long long) value);
}
if (!m_ptr) pybind11_fail("Could not allocate int object!");
}
template <typename T,
detail::enable_if_t<std::is_integral<T>::value, int> = 0>
operator T() const {
return std::is_unsigned<T>::value
? detail::as_unsigned<T>(m_ptr)
: sizeof(T) <= sizeof(long)
? (T) PyLong_AsLong(m_ptr)
: (T) PYBIND11_LONG_AS_LONGLONG(m_ptr);
}
};
class float_ : public object {
public:
PYBIND11_OBJECT_CVT(float_, object, PyFloat_Check, PyNumber_Float)
// Allow implicit conversion from float/double:
float_(float value) : object(PyFloat_FromDouble((double) value), stolen_t{}) {
if (!m_ptr) pybind11_fail("Could not allocate float object!");
}
float_(double value = .0) : object(PyFloat_FromDouble((double) value), stolen_t{}) {
if (!m_ptr) pybind11_fail("Could not allocate float object!");
}
operator float() const { return (float) PyFloat_AsDouble(m_ptr); }
operator double() const { return (double) PyFloat_AsDouble(m_ptr); }
};
class weakref : public object {
public:
PYBIND11_OBJECT_DEFAULT(weakref, object, PyWeakref_Check)
explicit weakref(handle obj, handle callback = {})
: object(PyWeakref_NewRef(obj.ptr(), callback.ptr()), stolen_t{}) {
if (!m_ptr) pybind11_fail("Could not allocate weak reference!");
}
};
class slice : public object {
public:
PYBIND11_OBJECT_DEFAULT(slice, object, PySlice_Check)
slice(ssize_t start_, ssize_t stop_, ssize_t step_) {
int_ start(start_), stop(stop_), step(step_);
m_ptr = PySlice_New(start.ptr(), stop.ptr(), step.ptr());
if (!m_ptr) pybind11_fail("Could not allocate slice object!");
}
bool compute(size_t length, size_t *start, size_t *stop, size_t *step,
size_t *slicelength) const {
return PySlice_GetIndicesEx((PYBIND11_SLICE_OBJECT *) m_ptr,
(ssize_t) length, (ssize_t *) start,
(ssize_t *) stop, (ssize_t *) step,
(ssize_t *) slicelength) == 0;
}
};
class capsule : public object {
public:
PYBIND11_OBJECT_DEFAULT(capsule, object, PyCapsule_CheckExact)
PYBIND11_DEPRECATED("Use reinterpret_borrow<capsule>() or reinterpret_steal<capsule>()")
capsule(PyObject *ptr, bool is_borrowed) : object(is_borrowed ? object(ptr, borrowed_t{}) : object(ptr, stolen_t{})) { }
explicit capsule(const void *value, const char *name = nullptr, void (*destructor)(PyObject *) = nullptr)
: object(PyCapsule_New(const_cast<void *>(value), name, destructor), stolen_t{}) {
if (!m_ptr)
pybind11_fail("Could not allocate capsule object!");
}
PYBIND11_DEPRECATED("Please pass a destructor that takes a void pointer as input")
capsule(const void *value, void (*destruct)(PyObject *))
: object(PyCapsule_New(const_cast<void*>(value), nullptr, destruct), stolen_t{}) {
if (!m_ptr)
pybind11_fail("Could not allocate capsule object!");
}
capsule(const void *value, void (*destructor)(void *)) {
m_ptr = PyCapsule_New(const_cast<void *>(value), nullptr, [](PyObject *o) {
auto destructor = reinterpret_cast<void (*)(void *)>(PyCapsule_GetContext(o));
void *ptr = PyCapsule_GetPointer(o, nullptr);
destructor(ptr);
});
if (!m_ptr)
pybind11_fail("Could not allocate capsule object!");
if (PyCapsule_SetContext(m_ptr, (void *) destructor) != 0)
pybind11_fail("Could not set capsule context!");
}
capsule(void (*destructor)()) {
m_ptr = PyCapsule_New(reinterpret_cast<void *>(destructor), nullptr, [](PyObject *o) {
auto destructor = reinterpret_cast<void (*)()>(PyCapsule_GetPointer(o, nullptr));
destructor();
});
if (!m_ptr)
pybind11_fail("Could not allocate capsule object!");
}
template <typename T> operator T *() const {
auto name = this->name();
T * result = static_cast<T *>(PyCapsule_GetPointer(m_ptr, name));
if (!result) pybind11_fail("Unable to extract capsule contents!");
return result;
}
const char *name() const { return PyCapsule_GetName(m_ptr); }
};
class tuple : public object {
public:
PYBIND11_OBJECT_CVT(tuple, object, PyTuple_Check, PySequence_Tuple)
explicit tuple(size_t size = 0) : object(PyTuple_New((ssize_t) size), stolen_t{}) {
if (!m_ptr) pybind11_fail("Could not allocate tuple object!");
}
size_t size() const { return (size_t) PyTuple_Size(m_ptr); }
detail::tuple_accessor operator[](size_t index) const { return {*this, index}; }
detail::tuple_iterator begin() const { return {*this, 0}; }
detail::tuple_iterator end() const { return {*this, PyTuple_GET_SIZE(m_ptr)}; }
};
class dict : public object {
public:
PYBIND11_OBJECT_CVT(dict, object, PyDict_Check, raw_dict)
dict() : object(PyDict_New(), stolen_t{}) {
if (!m_ptr) pybind11_fail("Could not allocate dict object!");
}
template <typename... Args,
typename = detail::enable_if_t<detail::all_of<detail::is_keyword_or_ds<Args>...>::value>,
// MSVC workaround: it can't compile an out-of-line definition, so defer the collector
typename collector = detail::deferred_t<detail::unpacking_collector<>, Args...>>
explicit dict(Args &&...args) : dict(collector(std::forward<Args>(args)...).kwargs()) { }
size_t size() const { return (size_t) PyDict_Size(m_ptr); }
detail::dict_iterator begin() const { return {*this, 0}; }
detail::dict_iterator end() const { return {}; }
void clear() const { PyDict_Clear(ptr()); }
bool contains(handle key) const { return PyDict_Contains(ptr(), key.ptr()) == 1; }
bool contains(const char *key) const { return PyDict_Contains(ptr(), pybind11::str(key).ptr()) == 1; }
private:
/// Call the `dict` Python type -- always returns a new reference
static PyObject *raw_dict(PyObject *op) {
if (PyDict_Check(op))
return handle(op).inc_ref().ptr();
return PyObject_CallFunctionObjArgs((PyObject *) &PyDict_Type, op, nullptr);
}
};
class sequence : public object {
public:
PYBIND11_OBJECT_DEFAULT(sequence, object, PySequence_Check)
size_t size() const { return (size_t) PySequence_Size(m_ptr); }
detail::sequence_accessor operator[](size_t index) const { return {*this, index}; }
detail::sequence_iterator begin() const { return {*this, 0}; }
detail::sequence_iterator end() const { return {*this, PySequence_Size(m_ptr)}; }
};
class list : public object {
public:
PYBIND11_OBJECT_CVT(list, object, PyList_Check, PySequence_List)
explicit list(size_t size = 0) : object(PyList_New((ssize_t) size), stolen_t{}) {
if (!m_ptr) pybind11_fail("Could not allocate list object!");
}
size_t size() const { return (size_t) PyList_Size(m_ptr); }
detail::list_accessor operator[](size_t index) const { return {*this, index}; }
detail::list_iterator begin() const { return {*this, 0}; }
detail::list_iterator end() const { return {*this, PyList_GET_SIZE(m_ptr)}; }
template <typename T> void append(T &&val) const {
PyList_Append(m_ptr, detail::object_or_cast(std::forward<T>(val)).ptr());
}
};
class args : public tuple { PYBIND11_OBJECT_DEFAULT(args, tuple, PyTuple_Check) };
class kwargs : public dict { PYBIND11_OBJECT_DEFAULT(kwargs, dict, PyDict_Check) };
class set : public object {
public:
PYBIND11_OBJECT_CVT(set, object, PySet_Check, PySet_New)
set() : object(PySet_New(nullptr), stolen_t{}) {
if (!m_ptr) pybind11_fail("Could not allocate set object!");
}
size_t size() const { return (size_t) PySet_Size(m_ptr); }
template <typename T> bool add(T &&val) const {
return PySet_Add(m_ptr, detail::object_or_cast(std::forward<T>(val)).ptr()) == 0;
}
void clear() const { PySet_Clear(m_ptr); }
};
class function : public object {
public:
PYBIND11_OBJECT_DEFAULT(function, object, PyCallable_Check)
handle cpp_function() const {
handle fun = detail::get_function(m_ptr);
if (fun && PyCFunction_Check(fun.ptr()))
return fun;
return handle();
}
bool is_cpp_function() const { return (bool) cpp_function(); }
};
class buffer : public object {
public:
PYBIND11_OBJECT_DEFAULT(buffer, object, PyObject_CheckBuffer)
buffer_info request(bool writable = false) {
int flags = PyBUF_STRIDES | PyBUF_FORMAT;
if (writable) flags |= PyBUF_WRITABLE;
Py_buffer *view = new Py_buffer();
if (PyObject_GetBuffer(m_ptr, view, flags) != 0) {
delete view;
throw error_already_set();
}
return buffer_info(view);
}
};
class memoryview : public object {
public:
explicit memoryview(const buffer_info& info) {
static Py_buffer buf { };
// Py_buffer uses signed sizes, strides and shape!..
static std::vector<Py_ssize_t> py_strides { };
static std::vector<Py_ssize_t> py_shape { };
buf.buf = info.ptr;
buf.itemsize = info.itemsize;
buf.format = const_cast<char *>(info.format.c_str());
buf.ndim = (int) info.ndim;
buf.len = info.size;
py_strides.clear();
py_shape.clear();
for (size_t i = 0; i < (size_t) info.ndim; ++i) {
py_strides.push_back(info.strides[i]);
py_shape.push_back(info.shape[i]);
}
buf.strides = py_strides.data();
buf.shape = py_shape.data();
buf.suboffsets = nullptr;
buf.readonly = false;
buf.internal = nullptr;
m_ptr = PyMemoryView_FromBuffer(&buf);
if (!m_ptr)
pybind11_fail("Unable to create memoryview from buffer descriptor");
}
PYBIND11_OBJECT_CVT(memoryview, object, PyMemoryView_Check, PyMemoryView_FromObject)
};
/// @} pytypes
/// \addtogroup python_builtins
/// @{
inline size_t len(handle h) {
ssize_t result = PyObject_Length(h.ptr());
if (result < 0)
pybind11_fail("Unable to compute length of object");
return (size_t) result;
}
inline str repr(handle h) {
PyObject *str_value = PyObject_Repr(h.ptr());
if (!str_value) throw error_already_set();
#if PY_MAJOR_VERSION < 3
PyObject *unicode = PyUnicode_FromEncodedObject(str_value, "utf-8", nullptr);
Py_XDECREF(str_value); str_value = unicode;
if (!str_value) throw error_already_set();
#endif
return reinterpret_steal<str>(str_value);
}
inline iterator iter(handle obj) {
PyObject *result = PyObject_GetIter(obj.ptr());
if (!result) { throw error_already_set(); }
return reinterpret_steal<iterator>(result);
}
/// @} python_builtins
NAMESPACE_BEGIN(detail)
template <typename D> iterator object_api<D>::begin() const { return iter(derived()); }
template <typename D> iterator object_api<D>::end() const { return iterator::sentinel(); }
template <typename D> item_accessor object_api<D>::operator[](handle key) const {
return {derived(), reinterpret_borrow<object>(key)};
}
template <typename D> item_accessor object_api<D>::operator[](const char *key) const {
return {derived(), pybind11::str(key)};
}
template <typename D> obj_attr_accessor object_api<D>::attr(handle key) const {
return {derived(), reinterpret_borrow<object>(key)};
}
template <typename D> str_attr_accessor object_api<D>::attr(const char *key) const {
return {derived(), key};
}
template <typename D> args_proxy object_api<D>::operator*() const {
return args_proxy(derived().ptr());
}
template <typename D> template <typename T> bool object_api<D>::contains(T &&item) const {
return attr("__contains__")(std::forward<T>(item)).template cast<bool>();
}
template <typename D>
pybind11::str object_api<D>::str() const { return pybind11::str(derived()); }
template <typename D>
str_attr_accessor object_api<D>::doc() const { return attr("__doc__"); }
template <typename D>
handle object_api<D>::get_type() const { return (PyObject *) Py_TYPE(derived().ptr()); }
NAMESPACE_END(detail)
NAMESPACE_END(pybind11)
ppocr/postprocess/lanms/include/pybind11/stl.h 0 → 100644
View file @ b0171a71
/*
pybind11/stl.h: Transparent conversion for STL data types
Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include "pybind11.h"
#include <set>
#include <unordered_set>
#include <map>
#include <unordered_map>
#include <iostream>
#include <list>
#include <valarray>
#if defined(_MSC_VER)
#pragma warning(push)
#pragma warning(disable: 4127) // warning C4127: Conditional expression is constant
#endif
#ifdef __has_include
// std::optional (but including it in c++14 mode isn't allowed)
# if defined(PYBIND11_CPP17) && __has_include(<optional>)
# include <optional>
# define PYBIND11_HAS_OPTIONAL 1
# endif
// std::experimental::optional (but not allowed in c++11 mode)
# if defined(PYBIND11_CPP14) && __has_include(<experimental/optional>)
# include <experimental/optional>
# define PYBIND11_HAS_EXP_OPTIONAL 1
# endif
// std::variant
# if defined(PYBIND11_CPP17) && __has_include(<variant>)
# include <variant>
# define PYBIND11_HAS_VARIANT 1
# endif
#elif defined(_MSC_VER) && defined(PYBIND11_CPP17)
# include <optional>
# include <variant>
# define PYBIND11_HAS_OPTIONAL 1
# define PYBIND11_HAS_VARIANT 1
#endif
NAMESPACE_BEGIN(pybind11)
NAMESPACE_BEGIN(detail)
/// Extracts an const lvalue reference or rvalue reference for U based on the type of T (e.g. for
/// forwarding a container element). Typically used indirect via forwarded_type(), below.
template <typename T, typename U>
using forwarded_type = conditional_t<
std::is_lvalue_reference<T>::value, remove_reference_t<U> &, remove_reference_t<U> &&>;
/// Forwards a value U as rvalue or lvalue according to whether T is rvalue or lvalue; typically
/// used for forwarding a container's elements.
template <typename T, typename U>
forwarded_type<T, U> forward_like(U &&u) {
return std::forward<detail::forwarded_type<T, U>>(std::forward<U>(u));
}
template <typename Type, typename Key> struct set_caster {
using type = Type;
using key_conv = make_caster<Key>;
bool load(handle src, bool convert) {
if (!isinstance<pybind11::set>(src))
return false;
auto s = reinterpret_borrow<pybind11::set>(src);
value.clear();
for (auto entry : s) {
key_conv conv;
if (!conv.load(entry, convert))
return false;
value.insert(cast_op<Key &&>(std::move(conv)));
}
return true;
}
template <typename T>
static handle cast(T &&src, return_value_policy policy, handle parent) {
pybind11::set s;
for (auto &value: src) {
auto value_ = reinterpret_steal<object>(key_conv::cast(forward_like<T>(value), policy, parent));
if (!value_ || !s.add(value_))
return handle();
}
return s.release();
}
PYBIND11_TYPE_CASTER(type, _("Set[") + key_conv::name() + _("]"));
};
template <typename Type, typename Key, typename Value> struct map_caster {
using key_conv = make_caster<Key>;
using value_conv = make_caster<Value>;
bool load(handle src, bool convert) {
if (!isinstance<dict>(src))
return false;
auto d = reinterpret_borrow<dict>(src);
value.clear();
for (auto it : d) {
key_conv kconv;
value_conv vconv;
if (!kconv.load(it.first.ptr(), convert) ||
!vconv.load(it.second.ptr(), convert))
return false;
value.emplace(cast_op<Key &&>(std::move(kconv)), cast_op<Value &&>(std::move(vconv)));
}
return true;
}
template <typename T>
static handle cast(T &&src, return_value_policy policy, handle parent) {
dict d;
for (auto &kv: src) {
auto key = reinterpret_steal<object>(key_conv::cast(forward_like<T>(kv.first), policy, parent));
auto value = reinterpret_steal<object>(value_conv::cast(forward_like<T>(kv.second), policy, parent));
if (!key || !value)
return handle();
d[key] = value;
}
return d.release();
}
PYBIND11_TYPE_CASTER(Type, _("Dict[") + key_conv::name() + _(", ") + value_conv::name() + _("]"));
};
template <typename Type, typename Value> struct list_caster {
using value_conv = make_caster<Value>;
bool load(handle src, bool convert) {
if (!isinstance<sequence>(src))
return false;
auto s = reinterpret_borrow<sequence>(src);
value.clear();
reserve_maybe(s, &value);
for (auto it : s) {
value_conv conv;
if (!conv.load(it, convert))
return false;
value.push_back(cast_op<Value &&>(std::move(conv)));
}
return true;
}
private:
template <typename T = Type,
enable_if_t<std::is_same<decltype(std::declval<T>().reserve(0)), void>::value, int> = 0>
void reserve_maybe(sequence s, Type *) { value.reserve(s.size()); }
void reserve_maybe(sequence, void *) { }
public:
template <typename T>
static handle cast(T &&src, return_value_policy policy, handle parent) {
list l(src.size());
size_t index = 0;
for (auto &value: src) {
auto value_ = reinterpret_steal<object>(value_conv::cast(forward_like<T>(value), policy, parent));
if (!value_)
return handle();
PyList_SET_ITEM(l.ptr(), (ssize_t) index++, value_.release().ptr()); // steals a reference
}
return l.release();
}
PYBIND11_TYPE_CASTER(Type, _("List[") + value_conv::name() + _("]"));
};
template <typename Type, typename Alloc> struct type_caster<std::vector<Type, Alloc>>
: list_caster<std::vector<Type, Alloc>, Type> { };
template <typename Type, typename Alloc> struct type_caster<std::list<Type, Alloc>>
: list_caster<std::list<Type, Alloc>, Type> { };
template <typename ArrayType, typename Value, bool Resizable, size_t Size = 0> struct array_caster {
using value_conv = make_caster<Value>;
private:
template <bool R = Resizable>
bool require_size(enable_if_t<R, size_t> size) {
if (value.size() != size)
value.resize(size);
return true;
}
template <bool R = Resizable>
bool require_size(enable_if_t<!R, size_t> size) {
return size == Size;
}
public:
bool load(handle src, bool convert) {
if (!isinstance<list>(src))
return false;
auto l = reinterpret_borrow<list>(src);
if (!require_size(l.size()))
return false;
size_t ctr = 0;
for (auto it : l) {
value_conv conv;
if (!conv.load(it, convert))
return false;
value[ctr++] = cast_op<Value &&>(std::move(conv));
}
return true;
}
template <typename T>
static handle cast(T &&src, return_value_policy policy, handle parent) {
list l(src.size());
size_t index = 0;
for (auto &value: src) {
auto value_ = reinterpret_steal<object>(value_conv::cast(forward_like<T>(value), policy, parent));
if (!value_)
return handle();
PyList_SET_ITEM(l.ptr(), (ssize_t) index++, value_.release().ptr()); // steals a reference
}
return l.release();
}
PYBIND11_TYPE_CASTER(ArrayType, _("List[") + value_conv::name() + _<Resizable>(_(""), _("[") + _<Size>() + _("]")) + _("]"));
};
template <typename Type, size_t Size> struct type_caster<std::array<Type, Size>>
: array_caster<std::array<Type, Size>, Type, false, Size> { };
template <typename Type> struct type_caster<std::valarray<Type>>
: array_caster<std::valarray<Type>, Type, true> { };
template <typename Key, typename Compare, typename Alloc> struct type_caster<std::set<Key, Compare, Alloc>>
: set_caster<std::set<Key, Compare, Alloc>, Key> { };
template <typename Key, typename Hash, typename Equal, typename Alloc> struct type_caster<std::unordered_set<Key, Hash, Equal, Alloc>>
: set_caster<std::unordered_set<Key, Hash, Equal, Alloc>, Key> { };
template <typename Key, typename Value, typename Compare, typename Alloc> struct type_caster<std::map<Key, Value, Compare, Alloc>>
: map_caster<std::map<Key, Value, Compare, Alloc>, Key, Value> { };
template <typename Key, typename Value, typename Hash, typename Equal, typename Alloc> struct type_caster<std::unordered_map<Key, Value, Hash, Equal, Alloc>>
: map_caster<std::unordered_map<Key, Value, Hash, Equal, Alloc>, Key, Value> { };
// This type caster is intended to be used for std::optional and std::experimental::optional
template<typename T> struct optional_caster {
using value_conv = make_caster<typename T::value_type>;
template <typename T_>
static handle cast(T_ &&src, return_value_policy policy, handle parent) {
if (!src)
return none().inc_ref();
return value_conv::cast(*std::forward<T_>(src), policy, parent);
}
bool load(handle src, bool convert) {
if (!src) {
return false;
} else if (src.is_none()) {
return true; // default-constructed value is already empty
}
value_conv inner_caster;
if (!inner_caster.load(src, convert))
return false;
value.emplace(cast_op<typename T::value_type &&>(std::move(inner_caster)));
return true;
}
PYBIND11_TYPE_CASTER(T, _("Optional[") + value_conv::name() + _("]"));
};
#if PYBIND11_HAS_OPTIONAL
template<typename T> struct type_caster<std::optional<T>>
: public optional_caster<std::optional<T>> {};
template<> struct type_caster<std::nullopt_t>
: public void_caster<std::nullopt_t> {};
#endif
#if PYBIND11_HAS_EXP_OPTIONAL
template<typename T> struct type_caster<std::experimental::optional<T>>
: public optional_caster<std::experimental::optional<T>> {};
template<> struct type_caster<std::experimental::nullopt_t>
: public void_caster<std::experimental::nullopt_t> {};
#endif
/// Visit a variant and cast any found type to Python
struct variant_caster_visitor {
return_value_policy policy;
handle parent;
template <typename T>
handle operator()(T &&src) const {
return make_caster<T>::cast(std::forward<T>(src), policy, parent);
}
};
/// Helper class which abstracts away variant's `visit` function. `std::variant` and similar
/// `namespace::variant` types which provide a `namespace::visit()` function are handled here
/// automatically using argument-dependent lookup. Users can provide specializations for other
/// variant-like classes, e.g. `boost::variant` and `boost::apply_visitor`.
template <template<typename...> class Variant>
struct visit_helper {
template <typename... Args>
static auto call(Args &&...args) -> decltype(visit(std::forward<Args>(args)...)) {
return visit(std::forward<Args>(args)...);
}
};
/// Generic variant caster
template <typename Variant> struct variant_caster;
template <template<typename...> class V, typename... Ts>
struct variant_caster<V<Ts...>> {
static_assert(sizeof...(Ts) > 0, "Variant must consist of at least one alternative.");
template <typename U, typename... Us>
bool load_alternative(handle src, bool convert, type_list<U, Us...>) {
auto caster = make_caster<U>();
if (caster.load(src, convert)) {
value = cast_op<U>(caster);
return true;
}
return load_alternative(src, convert, type_list<Us...>{});
}
bool load_alternative(handle, bool, type_list<>) { return false; }
bool load(handle src, bool convert) {
// Do a first pass without conversions to improve constructor resolution.
// E.g. `py::int_(1).cast<variant<double, int>>()` needs to fill the `int`
// slot of the variant. Without two-pass loading `double` would be filled
// because it appears first and a conversion is possible.
if (convert && load_alternative(src, false, type_list<Ts...>{}))
return true;
return load_alternative(src, convert, type_list<Ts...>{});
}
template <typename Variant>
static handle cast(Variant &&src, return_value_policy policy, handle parent) {
return visit_helper<V>::call(variant_caster_visitor{policy, parent},
std::forward<Variant>(src));
}
using Type = V<Ts...>;
PYBIND11_TYPE_CASTER(Type, _("Union[") + detail::concat(make_caster<Ts>::name()...) + _("]"));
};
#if PYBIND11_HAS_VARIANT
template <typename... Ts>
struct type_caster<std::variant<Ts...>> : variant_caster<std::variant<Ts...>> { };
#endif
NAMESPACE_END(detail)
inline std::ostream &operator<<(std::ostream &os, const handle &obj) {
os << (std::string) str(obj);
return os;
}
NAMESPACE_END(pybind11)
#if defined(_MSC_VER)
#pragma warning(pop)
#endif
ppocr/postprocess/lanms/include/pybind11/stl_bind.h 0 → 100644
View file @ b0171a71
/*
pybind11/std_bind.h: Binding generators for STL data types
Copyright (c) 2016 Sergey Lyskov and Wenzel Jakob
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include "common.h"
#include "operators.h"
#include <algorithm>
#include <sstream>
NAMESPACE_BEGIN(pybind11)
NAMESPACE_BEGIN(detail)
/* SFINAE helper class used by 'is_comparable */
template <typename T> struct container_traits {
template <typename T2> static std::true_type test_comparable(decltype(std::declval<const T2 &>() == std::declval<const T2 &>())*);
template <typename T2> static std::false_type test_comparable(...);
template <typename T2> static std::true_type test_value(typename T2::value_type *);
template <typename T2> static std::false_type test_value(...);
template <typename T2> static std::true_type test_pair(typename T2::first_type *, typename T2::second_type *);
template <typename T2> static std::false_type test_pair(...);
static constexpr const bool is_comparable = std::is_same<std::true_type, decltype(test_comparable<T>(nullptr))>::value;
static constexpr const bool is_pair = std::is_same<std::true_type, decltype(test_pair<T>(nullptr, nullptr))>::value;
static constexpr const bool is_vector = std::is_same<std::true_type, decltype(test_value<T>(nullptr))>::value;
static constexpr const bool is_element = !is_pair && !is_vector;
};
/* Default: is_comparable -> std::false_type */
template <typename T, typename SFINAE = void>
struct is_comparable : std::false_type { };
/* For non-map data structures, check whether operator== can be instantiated */
template <typename T>
struct is_comparable<
T, enable_if_t<container_traits<T>::is_element &&
container_traits<T>::is_comparable>>
: std::true_type { };
/* For a vector/map data structure, recursively check the value type (which is std::pair for maps) */
template <typename T>
struct is_comparable<T, enable_if_t<container_traits<T>::is_vector>> {
static constexpr const bool value =
is_comparable<typename T::value_type>::value;
};
/* For pairs, recursively check the two data types */
template <typename T>
struct is_comparable<T, enable_if_t<container_traits<T>::is_pair>> {
static constexpr const bool value =
is_comparable<typename T::first_type>::value &&
is_comparable<typename T::second_type>::value;
};
/* Fallback functions */
template <typename, typename, typename... Args> void vector_if_copy_constructible(const Args &...) { }
template <typename, typename, typename... Args> void vector_if_equal_operator(const Args &...) { }
template <typename, typename, typename... Args> void vector_if_insertion_operator(const Args &...) { }
template <typename, typename, typename... Args> void vector_modifiers(const Args &...) { }
template<typename Vector, typename Class_>
void vector_if_copy_constructible(enable_if_t<is_copy_constructible<Vector>::value, Class_> &cl) {
cl.def(init<const Vector &>(), "Copy constructor");
}
template<typename Vector, typename Class_>
void vector_if_equal_operator(enable_if_t<is_comparable<Vector>::value, Class_> &cl) {
using T = typename Vector::value_type;
cl.def(self == self);
cl.def(self != self);
cl.def("count",
[](const Vector &v, const T &x) {
return std::count(v.begin(), v.end(), x);
},
arg("x"),
"Return the number of times ``x`` appears in the list"
);
cl.def("remove", [](Vector &v, const T &x) {
auto p = std::find(v.begin(), v.end(), x);
if (p != v.end())
v.erase(p);
else
throw value_error();
},
arg("x"),
"Remove the first item from the list whose value is x. "
"It is an error if there is no such item."
);
cl.def("__contains__",
[](const Vector &v, const T &x) {
return std::find(v.begin(), v.end(), x) != v.end();
},
arg("x"),
"Return true the container contains ``x``"
);
}
// Vector modifiers -- requires a copyable vector_type:
// (Technically, some of these (pop and __delitem__) don't actually require copyability, but it seems
// silly to allow deletion but not insertion, so include them here too.)
template <typename Vector, typename Class_>
void vector_modifiers(enable_if_t<is_copy_constructible<typename Vector::value_type>::value, Class_> &cl) {
using T = typename Vector::value_type;
using SizeType = typename Vector::size_type;
using DiffType = typename Vector::difference_type;
cl.def("append",
[](Vector &v, const T &value) { v.push_back(value); },
arg("x"),
"Add an item to the end of the list");
cl.def("__init__", [](Vector &v, iterable it) {
new (&v) Vector();
try {
v.reserve(len(it));
for (handle h : it)
v.push_back(h.cast<T>());
} catch (...) {
v.~Vector();
throw;
}
});
cl.def("extend",
[](Vector &v, const Vector &src) {
v.insert(v.end(), src.begin(), src.end());
},
arg("L"),
"Extend the list by appending all the items in the given list"
);
cl.def("insert",
[](Vector &v, SizeType i, const T &x) {
if (i > v.size())
throw index_error();
v.insert(v.begin() + (DiffType) i, x);
},
arg("i") , arg("x"),
"Insert an item at a given position."
);
cl.def("pop",
[](Vector &v) {
if (v.empty())
throw index_error();
T t = v.back();
v.pop_back();
return t;
},
"Remove and return the last item"
);
cl.def("pop",
[](Vector &v, SizeType i) {
if (i >= v.size())
throw index_error();
T t = v[i];
v.erase(v.begin() + (DiffType) i);
return t;
},
arg("i"),
"Remove and return the item at index ``i``"
);
cl.def("__setitem__",
[](Vector &v, SizeType i, const T &t) {
if (i >= v.size())
throw index_error();
v[i] = t;
}
);
/// Slicing protocol
cl.def("__getitem__",
[](const Vector &v, slice slice) -> Vector * {
size_t start, stop, step, slicelength;
if (!slice.compute(v.size(), &start, &stop, &step, &slicelength))
throw error_already_set();
Vector *seq = new Vector();
seq->reserve((size_t) slicelength);
for (size_t i=0; i<slicelength; ++i) {
seq->push_back(v[start]);
start += step;
}
return seq;
},
arg("s"),
"Retrieve list elements using a slice object"
);
cl.def("__setitem__",
[](Vector &v, slice slice, const Vector &value) {
size_t start, stop, step, slicelength;
if (!slice.compute(v.size(), &start, &stop, &step, &slicelength))
throw error_already_set();
if (slicelength != value.size())
throw std::runtime_error("Left and right hand size of slice assignment have different sizes!");
for (size_t i=0; i<slicelength; ++i) {
v[start] = value[i];
start += step;
}
},
"Assign list elements using a slice object"
);
cl.def("__delitem__",
[](Vector &v, SizeType i) {
if (i >= v.size())
throw index_error();
v.erase(v.begin() + DiffType(i));
},
"Delete the list elements at index ``i``"
);
cl.def("__delitem__",
[](Vector &v, slice slice) {
size_t start, stop, step, slicelength;
if (!slice.compute(v.size(), &start, &stop, &step, &slicelength))
throw error_already_set();
if (step == 1 && false) {
v.erase(v.begin() + (DiffType) start, v.begin() + DiffType(start + slicelength));
} else {
for (size_t i = 0; i < slicelength; ++i) {
v.erase(v.begin() + DiffType(start));
start += step - 1;
}
}
},
"Delete list elements using a slice object"
);
}
// If the type has an operator[] that doesn't return a reference (most notably std::vector<bool>),
// we have to access by copying; otherwise we return by reference.
template <typename Vector> using vector_needs_copy = negation<
std::is_same<decltype(std::declval<Vector>()[typename Vector::size_type()]), typename Vector::value_type &>>;
// The usual case: access and iterate by reference
template <typename Vector, typename Class_>
void vector_accessor(enable_if_t<!vector_needs_copy<Vector>::value, Class_> &cl) {
using T = typename Vector::value_type;
using SizeType = typename Vector::size_type;
using ItType = typename Vector::iterator;
cl.def("__getitem__",
[](Vector &v, SizeType i) -> T & {
if (i >= v.size())
throw index_error();
return v[i];
},
return_value_policy::reference_internal // ref + keepalive
);
cl.def("__iter__",
[](Vector &v) {
return make_iterator<
return_value_policy::reference_internal, ItType, ItType, T&>(
v.begin(), v.end());
},
keep_alive<0, 1>() /* Essential: keep list alive while iterator exists */
);
}
// The case for special objects, like std::vector<bool>, that have to be returned-by-copy:
template <typename Vector, typename Class_>
void vector_accessor(enable_if_t<vector_needs_copy<Vector>::value, Class_> &cl) {
using T = typename Vector::value_type;
using SizeType = typename Vector::size_type;
using ItType = typename Vector::iterator;
cl.def("__getitem__",
[](const Vector &v, SizeType i) -> T {
if (i >= v.size())
throw index_error();
return v[i];
}
);
cl.def("__iter__",
[](Vector &v) {
return make_iterator<
return_value_policy::copy, ItType, ItType, T>(
v.begin(), v.end());
},
keep_alive<0, 1>() /* Essential: keep list alive while iterator exists */
);
}
template <typename Vector, typename Class_> auto vector_if_insertion_operator(Class_ &cl, std::string const &name)
-> decltype(std::declval<std::ostream&>() << std::declval<typename Vector::value_type>(), void()) {
using size_type = typename Vector::size_type;
cl.def("__repr__",
[name](Vector &v) {
std::ostringstream s;
s << name << '[';
for (size_type i=0; i < v.size(); ++i) {
s << v[i];
if (i != v.size() - 1)
s << ", ";
}
s << ']';
return s.str();
},
"Return the canonical string representation of this list."
);
}
// Provide the buffer interface for vectors if we have data() and we have a format for it
// GCC seems to have "void std::vector<bool>::data()" - doing SFINAE on the existence of data() is insufficient, we need to check it returns an appropriate pointer
template <typename Vector, typename = void>
struct vector_has_data_and_format : std::false_type {};
template <typename Vector>
struct vector_has_data_and_format<Vector, enable_if_t<std::is_same<decltype(format_descriptor<typename Vector::value_type>::format(), std::declval<Vector>().data()), typename Vector::value_type*>::value>> : std::true_type {};
// Add the buffer interface to a vector
template <typename Vector, typename Class_, typename... Args>
enable_if_t<detail::any_of<std::is_same<Args, buffer_protocol>...>::value>
vector_buffer(Class_& cl) {
using T = typename Vector::value_type;
static_assert(vector_has_data_and_format<Vector>::value, "There is not an appropriate format descriptor for this vector");
// numpy.h declares this for arbitrary types, but it may raise an exception and crash hard at runtime if PYBIND11_NUMPY_DTYPE hasn't been called, so check here
format_descriptor<T>::format();
cl.def_buffer([](Vector& v) -> buffer_info {
return buffer_info(v.data(), static_cast<ssize_t>(sizeof(T)), format_descriptor<T>::format(), 1, {v.size()}, {sizeof(T)});
});
cl.def("__init__", [](Vector& vec, buffer buf) {
auto info = buf.request();
if (info.ndim != 1 || info.strides[0] % static_cast<ssize_t>(sizeof(T)))
throw type_error("Only valid 1D buffers can be copied to a vector");
if (!detail::compare_buffer_info<T>::compare(info) || (ssize_t) sizeof(T) != info.itemsize)
throw type_error("Format mismatch (Python: " + info.format + " C++: " + format_descriptor<T>::format() + ")");
new (&vec) Vector();
vec.reserve((size_t) info.shape[0]);
T *p = static_cast<T*>(info.ptr);
ssize_t step = info.strides[0] / static_cast<ssize_t>(sizeof(T));
T *end = p + info.shape[0] * step;
for (; p != end; p += step)
vec.push_back(*p);
});
return;
}
template <typename Vector, typename Class_, typename... Args>
enable_if_t<!detail::any_of<std::is_same<Args, buffer_protocol>...>::value> vector_buffer(Class_&) {}
NAMESPACE_END(detail)
//
// std::vector
//
template <typename Vector, typename holder_type = std::unique_ptr<Vector>, typename... Args>
class_<Vector, holder_type> bind_vector(module &m, std::string const &name, Args&&... args) {
using Class_ = class_<Vector, holder_type>;
Class_ cl(m, name.c_str(), std::forward<Args>(args)...);
// Declare the buffer interface if a buffer_protocol() is passed in
detail::vector_buffer<Vector, Class_, Args...>(cl);
cl.def(init<>());
// Register copy constructor (if possible)
detail::vector_if_copy_constructible<Vector, Class_>(cl);
// Register comparison-related operators and functions (if possible)
detail::vector_if_equal_operator<Vector, Class_>(cl);
// Register stream insertion operator (if possible)
detail::vector_if_insertion_operator<Vector, Class_>(cl, name);
// Modifiers require copyable vector value type
detail::vector_modifiers<Vector, Class_>(cl);
// Accessor and iterator; return by value if copyable, otherwise we return by ref + keep-alive
detail::vector_accessor<Vector, Class_>(cl);
cl.def("__bool__",
[](const Vector &v) -> bool {
return !v.empty();
},
"Check whether the list is nonempty"
);
cl.def("__len__", &Vector::size);
#if 0
// C++ style functions deprecated, leaving it here as an example
cl.def(init<size_type>());
cl.def("resize",
(void (Vector::*) (size_type count)) & Vector::resize,
"changes the number of elements stored");
cl.def("erase",
[](Vector &v, SizeType i) {
if (i >= v.size())
throw index_error();
v.erase(v.begin() + i);
}, "erases element at index ``i``");
cl.def("empty", &Vector::empty, "checks whether the container is empty");
cl.def("size", &Vector::size, "returns the number of elements");
cl.def("push_back", (void (Vector::*)(const T&)) &Vector::push_back, "adds an element to the end");
cl.def("pop_back", &Vector::pop_back, "removes the last element");
cl.def("max_size", &Vector::max_size, "returns the maximum possible number of elements");
cl.def("reserve", &Vector::reserve, "reserves storage");
cl.def("capacity", &Vector::capacity, "returns the number of elements that can be held in currently allocated storage");
cl.def("shrink_to_fit", &Vector::shrink_to_fit, "reduces memory usage by freeing unused memory");
cl.def("clear", &Vector::clear, "clears the contents");
cl.def("swap", &Vector::swap, "swaps the contents");
cl.def("front", [](Vector &v) {
if (v.size()) return v.front();
else throw index_error();
}, "access the first element");
cl.def("back", [](Vector &v) {
if (v.size()) return v.back();
else throw index_error();
}, "access the last element ");
#endif
return cl;
}
//
// std::map, std::unordered_map
//
NAMESPACE_BEGIN(detail)
/* Fallback functions */
template <typename, typename, typename... Args> void map_if_insertion_operator(const Args &...) { }
template <typename, typename, typename... Args> void map_assignment(const Args &...) { }
// Map assignment when copy-assignable: just copy the value
template <typename Map, typename Class_>
void map_assignment(enable_if_t<std::is_copy_assignable<typename Map::mapped_type>::value, Class_> &cl) {
using KeyType = typename Map::key_type;
using MappedType = typename Map::mapped_type;
cl.def("__setitem__",
[](Map &m, const KeyType &k, const MappedType &v) {
auto it = m.find(k);
if (it != m.end()) it->second = v;
else m.emplace(k, v);
}
);
}
// Not copy-assignable, but still copy-constructible: we can update the value by erasing and reinserting
template<typename Map, typename Class_>
void map_assignment(enable_if_t<
!std::is_copy_assignable<typename Map::mapped_type>::value &&
is_copy_constructible<typename Map::mapped_type>::value,
Class_> &cl) {
using KeyType = typename Map::key_type;
using MappedType = typename Map::mapped_type;
cl.def("__setitem__",
[](Map &m, const KeyType &k, const MappedType &v) {
// We can't use m[k] = v; because value type might not be default constructable
auto r = m.emplace(k, v);
if (!r.second) {
// value type is not copy assignable so the only way to insert it is to erase it first...
m.erase(r.first);
m.emplace(k, v);
}
}
);
}
template <typename Map, typename Class_> auto map_if_insertion_operator(Class_ &cl, std::string const &name)
-> decltype(std::declval<std::ostream&>() << std::declval<typename Map::key_type>() << std::declval<typename Map::mapped_type>(), void()) {
cl.def("__repr__",
[name](Map &m) {
std::ostringstream s;
s << name << '{';
bool f = false;
for (auto const &kv : m) {
if (f)
s << ", ";
s << kv.first << ": " << kv.second;
f = true;
}
s << '}';
return s.str();
},
"Return the canonical string representation of this map."
);
}
NAMESPACE_END(detail)
template <typename Map, typename holder_type = std::unique_ptr<Map>, typename... Args>
class_<Map, holder_type> bind_map(module &m, const std::string &name, Args&&... args) {
using KeyType = typename Map::key_type;
using MappedType = typename Map::mapped_type;
using Class_ = class_<Map, holder_type>;
Class_ cl(m, name.c_str(), std::forward<Args>(args)...);
cl.def(init<>());
// Register stream insertion operator (if possible)
detail::map_if_insertion_operator<Map, Class_>(cl, name);
cl.def("__bool__",
[](const Map &m) -> bool { return !m.empty(); },
"Check whether the map is nonempty"
);
cl.def("__iter__",
[](Map &m) { return make_key_iterator(m.begin(), m.end()); },
keep_alive<0, 1>() /* Essential: keep list alive while iterator exists */
);
cl.def("items",
[](Map &m) { return make_iterator(m.begin(), m.end()); },
keep_alive<0, 1>() /* Essential: keep list alive while iterator exists */
);
cl.def("__getitem__",
[](Map &m, const KeyType &k) -> MappedType & {
auto it = m.find(k);
if (it == m.end())
throw key_error();
return it->second;
},
return_value_policy::reference_internal // ref + keepalive
);
// Assignment provided only if the type is copyable
detail::map_assignment<Map, Class_>(cl);
cl.def("__delitem__",
[](Map &m, const KeyType &k) {
auto it = m.find(k);
if (it == m.end())
throw key_error();
return m.erase(it);
}
);
cl.def("__len__", &Map::size);
return cl;
}
NAMESPACE_END(pybind11)
ppocr/postprocess/lanms/include/pybind11/typeid.h 0 → 100644
View file @ b0171a71
/*
pybind11/typeid.h: Compiler-independent access to type identifiers
Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include <cstdio>
#include <cstdlib>
#if defined(__GNUG__)
#include <cxxabi.h>
#endif
NAMESPACE_BEGIN(pybind11)
NAMESPACE_BEGIN(detail)
/// Erase all occurrences of a substring
inline void erase_all(std::string &string, const std::string &search) {
for (size_t pos = 0;;) {
pos = string.find(search, pos);
if (pos == std::string::npos) break;
string.erase(pos, search.length());
}
}
PYBIND11_NOINLINE inline void clean_type_id(std::string &name) {
#if defined(__GNUG__)
int status = 0;
std::unique_ptr<char, void (*)(void *)> res {
abi::__cxa_demangle(name.c_str(), nullptr, nullptr, &status), std::free };
if (status == 0)
name = res.get();
#else
detail::erase_all(name, "class ");
detail::erase_all(name, "struct ");
detail::erase_all(name, "enum ");
#endif
detail::erase_all(name, "pybind11::");
}
NAMESPACE_END(detail)
/// Return a string representation of a C++ type
template <typename T> static std::string type_id() {
std::string name(typeid(T).name());
detail::clean_type_id(name);
return name;
}
NAMESPACE_END(pybind11)
ppocr/postprocess/lanms/lanms.h 0 → 100644
View file @ b0171a71
#pragma once
#include "clipper/clipper.hpp"
// locality-aware NMS
namespace lanms {
namespace cl = ClipperLib;
struct Polygon {
cl::Path poly;
float score;
};
float paths_area(const ClipperLib::Paths &ps) {
float area = 0;
for (auto &&p: ps)
area += cl::Area(p);
return area;
}
float poly_iou(const Polygon &a, const Polygon &b) {
cl::Clipper clpr;
clpr.AddPath(a.poly, cl::ptSubject, true);
clpr.AddPath(b.poly, cl::ptClip, true);
cl::Paths inter, uni;
clpr.Execute(cl::ctIntersection, inter, cl::pftEvenOdd);
clpr.Execute(cl::ctUnion, uni, cl::pftEvenOdd);
auto inter_area = paths_area(inter),
uni_area = paths_area(uni);
return std::abs(inter_area) / std::max(std::abs(uni_area), 1.0f);
}
bool should_merge(const Polygon &a, const Polygon &b, float iou_threshold) {
return poly_iou(a, b) > iou_threshold;
}
/**
* Incrementally merge polygons
*/
class PolyMerger {
public:
PolyMerger(): score(0), nr_polys(0) {
memset(data, 0, sizeof(data));
}
/**
* Add a new polygon to be merged.
*/
void add(const Polygon &p_given) {
Polygon p;
if (nr_polys > 0) {
// vertices of two polygons to merge may not in the same order;
// we match their vertices by choosing the ordering that
// minimizes the total squared distance.
// see function normalize_poly for details.
p = normalize_poly(get(), p_given);
} else {
p = p_given;
}
assert(p.poly.size() == 4);
auto &poly = p.poly;
auto s = p.score;
data[0] += poly[0].X * s;
data[1] += poly[0].Y * s;
data[2] += poly[1].X * s;
data[3] += poly[1].Y * s;
data[4] += poly[2].X * s;
data[5] += poly[2].Y * s;
data[6] += poly[3].X * s;
data[7] += poly[3].Y * s;
score += p.score;
nr_polys += 1;
}
inline std::int64_t sqr(std::int64_t x) { return x * x; }
Polygon normalize_poly(
const Polygon &ref,
const Polygon &p) {
std::int64_t min_d = std::numeric_limits<std::int64_t>::max();
size_t best_start = 0, best_order = 0;
for (size_t start = 0; start < 4; start ++) {
size_t j = start;
std::int64_t d = (
sqr(ref.poly[(j + 0) % 4].X - p.poly[(j + 0) % 4].X)
+ sqr(ref.poly[(j + 0) % 4].Y - p.poly[(j + 0) % 4].Y)
+ sqr(ref.poly[(j + 1) % 4].X - p.poly[(j + 1) % 4].X)
+ sqr(ref.poly[(j + 1) % 4].Y - p.poly[(j + 1) % 4].Y)
+ sqr(ref.poly[(j + 2) % 4].X - p.poly[(j + 2) % 4].X)
+ sqr(ref.poly[(j + 2) % 4].Y - p.poly[(j + 2) % 4].Y)
+ sqr(ref.poly[(j + 3) % 4].X - p.poly[(j + 3) % 4].X)
+ sqr(ref.poly[(j + 3) % 4].Y - p.poly[(j + 3) % 4].Y)
);
if (d < min_d) {
min_d = d;
best_start = start;
best_order = 0;
}
d = (
sqr(ref.poly[(j + 0) % 4].X - p.poly[(j + 3) % 4].X)
+ sqr(ref.poly[(j + 0) % 4].Y - p.poly[(j + 3) % 4].Y)
+ sqr(ref.poly[(j + 1) % 4].X - p.poly[(j + 2) % 4].X)
+ sqr(ref.poly[(j + 1) % 4].Y - p.poly[(j + 2) % 4].Y)
+ sqr(ref.poly[(j + 2) % 4].X - p.poly[(j + 1) % 4].X)
+ sqr(ref.poly[(j + 2) % 4].Y - p.poly[(j + 1) % 4].Y)
+ sqr(ref.poly[(j + 3) % 4].X - p.poly[(j + 0) % 4].X)
+ sqr(ref.poly[(j + 3) % 4].Y - p.poly[(j + 0) % 4].Y)
);
if (d < min_d) {
min_d = d;
best_start = start;
best_order = 1;
}
}
Polygon r;
r.poly.resize(4);
auto j = best_start;
if (best_order == 0) {
for (size_t i = 0; i < 4; i ++)
r.poly[i] = p.poly[(j + i) % 4];
} else {
for (size_t i = 0; i < 4; i ++)
r.poly[i] = p.poly[(j + 4 - i - 1) % 4];
}
r.score = p.score;
return r;
}
Polygon get() const {
Polygon p;
auto &poly = p.poly;
poly.resize(4);
auto score_inv = 1.0f / std::max(1e-8f, score);
poly[0].X = data[0] * score_inv;
poly[0].Y = data[1] * score_inv;
poly[1].X = data[2] * score_inv;
poly[1].Y = data[3] * score_inv;
poly[2].X = data[4] * score_inv;
poly[2].Y = data[5] * score_inv;
poly[3].X = data[6] * score_inv;
poly[3].Y = data[7] * score_inv;
assert(score > 0);
p.score = score;
return p;
}
private:
std::int64_t data[8];
float score;
std::int32_t nr_polys;
};
/**
* The standard NMS algorithm.
*/
std::vector<Polygon> standard_nms(std::vector<Polygon> &polys, float iou_threshold) {
size_t n = polys.size();
if (n == 0)
return {};
std::vector<size_t> indices(n);
std::iota(std::begin(indices), std::end(indices), 0);
std::sort(std::begin(indices), std::end(indices), [&](size_t i, size_t j) { return polys[i].score > polys[j].score; });
std::vector<size_t> keep;
while (indices.size()) {
size_t p = 0, cur = indices[0];
keep.emplace_back(cur);
for (size_t i = 1; i < indices.size(); i ++) {
if (!should_merge(polys[cur], polys[indices[i]], iou_threshold)) {
indices[p ++] = indices[i];
}
}
indices.resize(p);
}
std::vector<Polygon> ret;
for (auto &&i: keep) {
ret.emplace_back(polys[i]);
}
return ret;
}
std::vector<Polygon>
merge_quadrangle_n9(const float *data, size_t n, float iou_threshold) {
using cInt = cl::cInt;
// first pass
std::vector<Polygon> polys;
for (size_t i = 0; i < n; i ++) {
auto p = data + i * 9;
Polygon poly{
{
{cInt(p[0]), cInt(p[1])},
{cInt(p[2]), cInt(p[3])},
{cInt(p[4]), cInt(p[5])},
{cInt(p[6]), cInt(p[7])},
},
p[8],
};
if (polys.size()) {
// merge with the last one
auto &bpoly = polys.back();
if (should_merge(poly, bpoly, iou_threshold)) {
PolyMerger merger;
merger.add(bpoly);
merger.add(poly);
bpoly = merger.get();
} else {
polys.emplace_back(poly);
}
} else {
polys.emplace_back(poly);
}
}
return standard_nms(polys, iou_threshold);
}
}
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