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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
#pragma once
#include <functional>
#include <memory>
#include <optional>
#include <utility>
#include "arrow/buffer.h"
#include "arrow/python/pyarrow.h"
#include "arrow/python/visibility.h"
#include "arrow/result.h"
#include "arrow/util/macros.h"
namespace arrow {
class MemoryPool;
template <class T>
class Result;
namespace py {
// Convert current Python error to a Status. The Python error state is cleared
// and can be restored with RestorePyError().
ARROW_PYTHON_EXPORT Status ConvertPyError(StatusCode code = StatusCode::UnknownError);
// Query whether the given Status is a Python error (as wrapped by ConvertPyError()).
ARROW_PYTHON_EXPORT bool IsPyError(const Status& status);
// Restore a Python error wrapped in a Status.
ARROW_PYTHON_EXPORT void RestorePyError(const Status& status);
// Catch a pending Python exception and return the corresponding Status.
// If no exception is pending, Status::OK() is returned.
inline Status CheckPyError(StatusCode code = StatusCode::UnknownError) {
if (ARROW_PREDICT_TRUE(!PyErr_Occurred())) {
return Status::OK();
} else {
return ConvertPyError(code);
}
}
#define RETURN_IF_PYERROR() ARROW_RETURN_NOT_OK(CheckPyError())
#define PY_RETURN_IF_ERROR(CODE) ARROW_RETURN_NOT_OK(CheckPyError(CODE))
// For Cython, as you can't define template C++ functions in Cython, only use them.
// This function can set a Python exception. It assumes that T has a (cheap)
// default constructor.
template <class T>
T GetResultValue(Result<T> result) {
if (ARROW_PREDICT_TRUE(result.ok())) {
return *std::move(result);
} else {
int r = internal::check_status(result.status()); // takes the GIL
assert(r == -1); // should have errored out
ARROW_UNUSED(r);
return {};
}
}
/// \brief Wrap a Result and return the corresponding Python object.
///
/// If the Result is successful, py_wrapper is called with its result value
/// and should return a PyObject*. If py_wrapper is successful (returns
/// a non-NULL value), its return value is returned.
///
/// If either the Result or py_wrapper fails, the associated Python exception
/// is raised and NULL is returned.
//
/// \param result The Result whose value to wrap in a Python object.
/// \param py_wrapper A function (likely defined in Cython) to convert the C++
/// value of the Result to a Python object.
/// \return A new Python reference, or NULL if an exception occurred
template <typename T, typename PyWrapper = PyObject* (*)(T)>
PyObject* WrapResult(Result<T> result, PyWrapper&& py_wrapper) {
static_assert(std::is_same_v<PyObject*, decltype(py_wrapper(std::declval<T>()))>,
"PyWrapper argument to WrapResult should return a PyObject* "
"when called with a T*");
Status st = result.status();
if (st.ok()) {
PyObject* py_value = py_wrapper(result.MoveValueUnsafe());
st = CheckPyError();
if (st.ok()) {
return py_value;
}
Py_XDECREF(py_value); // should be null, but who knows
}
// Status is an error, convert it to an exception.
return internal::convert_status(st);
}
// A RAII-style helper that ensures the GIL is acquired inside a lexical block.
class ARROW_PYTHON_EXPORT PyAcquireGIL {
public:
PyAcquireGIL() : acquired_gil_(false) { acquire(); }
~PyAcquireGIL() { release(); }
void acquire() {
if (!acquired_gil_) {
state_ = PyGILState_Ensure();
acquired_gil_ = true;
}
}
// idempotent
void release() {
if (acquired_gil_) {
PyGILState_Release(state_);
acquired_gil_ = false;
}
}
private:
bool acquired_gil_;
PyGILState_STATE state_;
ARROW_DISALLOW_COPY_AND_ASSIGN(PyAcquireGIL);
};
// A RAII-style helper that releases the GIL until the end of a lexical block
class ARROW_PYTHON_EXPORT PyReleaseGIL {
public:
PyReleaseGIL() : ptr_(PyEval_SaveThread(), &unique_ptr_deleter) {}
private:
static void unique_ptr_deleter(PyThreadState* state) {
if (state) {
PyEval_RestoreThread(state);
}
}
std::unique_ptr<PyThreadState, decltype(&unique_ptr_deleter)> ptr_;
};
// A helper to call safely into the Python interpreter from arbitrary C++ code.
// The GIL is acquired, and the current thread's error status is preserved.
template <typename Function>
auto SafeCallIntoPython(Function&& func) -> decltype(func()) {
PyAcquireGIL lock;
PyObject* exc_type;
PyObject* exc_value;
PyObject* exc_traceback;
PyErr_Fetch(&exc_type, &exc_value, &exc_traceback);
auto maybe_status = std::forward<Function>(func)();
// If the return Status is a "Python error", the current Python error status
// describes the error and shouldn't be clobbered.
if (!IsPyError(::arrow::internal::GenericToStatus(maybe_status)) &&
exc_type != NULLPTR) {
PyErr_Restore(exc_type, exc_value, exc_traceback);
}
return maybe_status;
}
template <typename Function>
auto SafeCallIntoPythonVoid(Function&& func) -> decltype(func()) {
PyAcquireGIL lock;
PyObject* exc_type;
PyObject* exc_value;
PyObject* exc_traceback;
PyErr_Fetch(&exc_type, &exc_value, &exc_traceback);
func();
if (exc_type != NULLPTR) {
PyErr_Restore(exc_type, exc_value, exc_traceback);
}
}
// A RAII primitive that DECREFs the underlying PyObject* when it
// goes out of scope.
class ARROW_PYTHON_EXPORT OwnedRef {
public:
OwnedRef() : obj_(NULLPTR) {}
OwnedRef(OwnedRef&& other) : OwnedRef(other.detach()) {}
explicit OwnedRef(PyObject* obj) : obj_(obj) {}
OwnedRef& operator=(OwnedRef&& other) {
obj_ = other.detach();
return *this;
}
~OwnedRef() {
// GH-38626: destructor may be called after the Python interpreter is finalized.
if (Py_IsInitialized()) {
reset();
}
}
void reset(PyObject* obj) {
Py_XDECREF(obj_);
obj_ = obj;
}
void reset() { reset(NULLPTR); }
PyObject* detach() {
PyObject* result = obj_;
obj_ = NULLPTR;
return result;
}
PyObject* obj() const { return obj_; }
PyObject** ref() { return &obj_; }
operator bool() const { return obj_ != NULLPTR; }
private:
ARROW_DISALLOW_COPY_AND_ASSIGN(OwnedRef);
PyObject* obj_;
};
// Same as OwnedRef, but ensures the GIL is taken when it goes out of scope.
// This is for situations where the GIL is not always known to be held
// (e.g. if it is released in the middle of a function for performance reasons)
class ARROW_PYTHON_EXPORT OwnedRefNoGIL : public OwnedRef {
public:
OwnedRefNoGIL() : OwnedRef() {}
OwnedRefNoGIL(OwnedRefNoGIL&& other) : OwnedRef(other.detach()) {}
explicit OwnedRefNoGIL(PyObject* obj) : OwnedRef(obj) {}
~OwnedRefNoGIL() {
// GH-38626: destructor may be called after the Python interpreter is finalized.
if (Py_IsInitialized() && obj() != NULLPTR) {
PyAcquireGIL lock;
reset();
}
}
};
template <template <typename...> typename SmartPtr, typename... Ts>
class SmartPtrNoGIL : public SmartPtr<Ts...> {
using Base = SmartPtr<Ts...>;
public:
template <typename... Args>
SmartPtrNoGIL(Args&&... args) : Base(std::forward<Args>(args)...) {}
~SmartPtrNoGIL() { reset(); }
template <typename... Args>
void reset(Args&&... args) {
auto release_guard = optional_gil_release();
Base::reset(std::forward<Args>(args)...);
}
template <typename V>
SmartPtrNoGIL& operator=(V&& v) {
auto release_guard = optional_gil_release();
Base::operator=(std::forward<V>(v));
return *this;
}
private:
// Only release the GIL if we own an object *and* the Python runtime is
// valid *and* the GIL is held.
std::optional<PyReleaseGIL> optional_gil_release() const {
if (this->get() != nullptr && Py_IsInitialized() && PyGILState_Check()) {
return PyReleaseGIL();
}
return {};
}
};
/// \brief A std::shared_ptr<T, ...> subclass that releases the GIL when destroying T
template <typename... Ts>
using SharedPtrNoGIL = SmartPtrNoGIL<std::shared_ptr, Ts...>;
/// \brief A std::unique_ptr<T, ...> subclass that releases the GIL when destroying T
template <typename... Ts>
using UniquePtrNoGIL = SmartPtrNoGIL<std::unique_ptr, Ts...>;
template <typename Fn>
struct BoundFunction;
template <typename... Args>
struct BoundFunction<void(PyObject*, Args...)> {
// We bind `cdef void fn(object, ...)` to get a `Status(...)`
// where the Status contains any Python error raised by `fn`
using Unbound = void(PyObject*, Args...);
using Bound = Status(Args...);
BoundFunction(Unbound* unbound, PyObject* bound_arg)
: unbound_(unbound), bound_arg_(bound_arg) {}
Status Invoke(Args... args) const {
PyAcquireGIL lock;
unbound_(bound_arg_.obj(), std::forward<Args>(args)...);
RETURN_IF_PYERROR();
return Status::OK();
}
Unbound* unbound_;
OwnedRefNoGIL bound_arg_;
};
template <typename Return, typename... Args>
struct BoundFunction<Return(PyObject*, Args...)> {
// We bind `cdef Return fn(object, ...)` to get a `Result<Return>(...)`
// where the Result contains any Python error raised by `fn` or the
// return value from `fn`.
using Unbound = Return(PyObject*, Args...);
using Bound = Result<Return>(Args...);
BoundFunction(Unbound* unbound, PyObject* bound_arg)
: unbound_(unbound), bound_arg_(bound_arg) {}
Result<Return> Invoke(Args... args) const {
PyAcquireGIL lock;
Return ret = unbound_(bound_arg_.obj(), std::forward<Args>(args)...);
RETURN_IF_PYERROR();
return ret;
}
Unbound* unbound_;
OwnedRefNoGIL bound_arg_;
};
template <typename OutFn, typename Return, typename... Args>
std::function<OutFn> BindFunction(Return (*unbound)(PyObject*, Args...),
PyObject* bound_arg) {
using Fn = BoundFunction<Return(PyObject*, Args...)>;
static_assert(std::is_same<typename Fn::Bound, OutFn>::value,
"requested bound function of unsupported type");
Py_XINCREF(bound_arg);
auto bound_fn = std::make_shared<Fn>(unbound, bound_arg);
return
[bound_fn](Args... args) { return bound_fn->Invoke(std::forward<Args>(args)...); };
}
// A temporary conversion of a Python object to a bytes area.
struct PyBytesView {
const char* bytes;
Py_ssize_t size;
bool is_utf8;
static Result<PyBytesView> FromString(PyObject* obj, bool check_utf8 = false) {
PyBytesView self;
ARROW_RETURN_NOT_OK(self.ParseString(obj, check_utf8));
return std::move(self);
}
static Result<PyBytesView> FromUnicode(PyObject* obj) {
PyBytesView self;
ARROW_RETURN_NOT_OK(self.ParseUnicode(obj));
return std::move(self);
}
static Result<PyBytesView> FromBinary(PyObject* obj) {
PyBytesView self;
ARROW_RETURN_NOT_OK(self.ParseBinary(obj));
return std::move(self);
}
// View the given Python object as string-like, i.e. str or (utf8) bytes
Status ParseString(PyObject* obj, bool check_utf8 = false) {
if (PyUnicode_Check(obj)) {
return ParseUnicode(obj);
} else {
ARROW_RETURN_NOT_OK(ParseBinary(obj));
if (check_utf8) {
// Check the bytes are utf8 utf-8
OwnedRef decoded(PyUnicode_FromStringAndSize(bytes, size));
if (ARROW_PREDICT_TRUE(!PyErr_Occurred())) {
is_utf8 = true;
} else {
PyErr_Clear();
is_utf8 = false;
}
}
return Status::OK();
}
}
// View the given Python object as unicode string
Status ParseUnicode(PyObject* obj) {
// The utf-8 representation is cached on the unicode object
bytes = PyUnicode_AsUTF8AndSize(obj, &size);
RETURN_IF_PYERROR();
is_utf8 = true;
return Status::OK();
}
// View the given Python object as binary-like, i.e. bytes
Status ParseBinary(PyObject* obj) {
if (PyBytes_Check(obj)) {
bytes = PyBytes_AS_STRING(obj);
size = PyBytes_GET_SIZE(obj);
is_utf8 = false;
} else if (PyByteArray_Check(obj)) {
bytes = PyByteArray_AS_STRING(obj);
size = PyByteArray_GET_SIZE(obj);
is_utf8 = false;
} else if (PyMemoryView_Check(obj)) {
PyObject* ref = PyMemoryView_GetContiguous(obj, PyBUF_READ, 'C');
RETURN_IF_PYERROR();
Py_buffer* buffer = PyMemoryView_GET_BUFFER(ref);
bytes = reinterpret_cast<const char*>(buffer->buf);
size = buffer->len;
is_utf8 = false;
} else {
return Status::TypeError("Expected bytes, got a '", Py_TYPE(obj)->tp_name,
"' object");
}
return Status::OK();
}
protected:
OwnedRef ref;
};
class ARROW_PYTHON_EXPORT PyBuffer : public Buffer {
public:
/// While memoryview objects support multi-dimensional buffers, PyBuffer only supports
/// one-dimensional byte buffers.
~PyBuffer();
static Result<std::shared_ptr<Buffer>> FromPyObject(PyObject* obj);
private:
PyBuffer();
Status Init(PyObject*);
Py_buffer py_buf_;
};
// Return the common PyArrow memory pool
ARROW_PYTHON_EXPORT void set_default_memory_pool(MemoryPool* pool);
ARROW_PYTHON_EXPORT MemoryPool* get_memory_pool();
// This is annoying: because C++11 does not allow implicit conversion of string
// literals to non-const char*, we need to go through some gymnastics to use
// PyObject_CallMethod without a lot of pain (its arguments are non-const
// char*)
template <typename... ArgTypes>
static inline PyObject* cpp_PyObject_CallMethod(PyObject* obj, const char* method_name,
const char* argspec, ArgTypes... args) {
return PyObject_CallMethod(obj, const_cast<char*>(method_name),
const_cast<char*>(argspec), args...);
}
} // namespace py
} // namespace arrow
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