ai-content-maker/.venv/Lib/site-packages/Cython/Utility/CppSupport.cpp

/////////////// CppExceptionConversion.proto ///////////////

#ifndef __Pyx_CppExn2PyErr
#include <new>
#include <typeinfo>
#include <stdexcept>
#include <ios>

static void __Pyx_CppExn2PyErr() {
  // Catch a handful of different errors here and turn them into the
  // equivalent Python errors.
  try {
    if (PyErr_Occurred())
      ; // let the latest Python exn pass through and ignore the current one
    else
      throw;
  } catch (const std::bad_alloc& exn) {
    PyErr_SetString(PyExc_MemoryError, exn.what());
  } catch (const std::bad_cast& exn) {
    PyErr_SetString(PyExc_TypeError, exn.what());
  } catch (const std::bad_typeid& exn) {
    PyErr_SetString(PyExc_TypeError, exn.what());
  } catch (const std::domain_error& exn) {
    PyErr_SetString(PyExc_ValueError, exn.what());
  } catch (const std::invalid_argument& exn) {
    PyErr_SetString(PyExc_ValueError, exn.what());
  } catch (const std::ios_base::failure& exn) {
    // Unfortunately, in standard C++ we have no way of distinguishing EOF
    // from other errors here; be careful with the exception mask
    PyErr_SetString(PyExc_IOError, exn.what());
  } catch (const std::out_of_range& exn) {
    // Change out_of_range to IndexError
    PyErr_SetString(PyExc_IndexError, exn.what());
  } catch (const std::overflow_error& exn) {
    PyErr_SetString(PyExc_OverflowError, exn.what());
  } catch (const std::range_error& exn) {
    PyErr_SetString(PyExc_ArithmeticError, exn.what());
  } catch (const std::underflow_error& exn) {
    PyErr_SetString(PyExc_ArithmeticError, exn.what());
  } catch (const std::exception& exn) {
    PyErr_SetString(PyExc_RuntimeError, exn.what());
  }
  catch (...)
  {
    PyErr_SetString(PyExc_RuntimeError, "Unknown exception");
  }
}
#endif

/////////////// PythranConversion.proto ///////////////

template <class T>
auto __Pyx_pythran_to_python(T &&value) -> decltype(to_python(
      typename pythonic::returnable<typename std::remove_cv<typename std::remove_reference<T>::type>::type>::type{std::forward<T>(value)}))
{
  using returnable_type = typename pythonic::returnable<typename std::remove_cv<typename std::remove_reference<T>::type>::type>::type;
  return to_python(returnable_type{std::forward<T>(value)});
}

#define __Pyx_PythranShapeAccessor(x) (pythonic::builtins::getattr(pythonic::types::attr::SHAPE{}, x))

////////////// MoveIfSupported.proto //////////////////

#if CYTHON_USE_CPP_STD_MOVE
  #include <utility>
  #define __PYX_STD_MOVE_IF_SUPPORTED(x) std::move(x)
#else
  #define __PYX_STD_MOVE_IF_SUPPORTED(x) x
#endif

////////////// EnumClassDecl.proto //////////////////
//@proto_block: utility_code_proto_before_types

#if defined (_MSC_VER)
  #if _MSC_VER >= 1910
    #define __PYX_ENUM_CLASS_DECL enum
  #else
    #define __PYX_ENUM_CLASS_DECL
  #endif
#else
  #define __PYX_ENUM_CLASS_DECL enum
#endif

////////////// OptionalLocals.proto ////////////////
//@proto_block: utility_code_proto_before_types

#include <utility>
#if defined(CYTHON_USE_BOOST_OPTIONAL)
    // fallback mode - std::optional is preferred but this gives
    // people with a less up-to-date compiler a chance
    #include <boost/optional.hpp>
    #define __Pyx_Optional_BaseType boost::optional
#else
    #include <optional>
    // since std::optional is a C++17 features, a templated using declaration should be safe
    // (although it could be replaced with a define)
    template <typename T>
    using __Pyx_Optional_BaseType = std::optional<T>;
#endif

// This class reuses as much of the implementation of std::optional as possible.
// The only place it differs significantly is the assignment operators, which use
// "emplace" (thus requiring move/copy constructors, but not move/copy
// assignment operators). This is preferred because it lets us work with assignable
// types (for example those with const members)
template <typename T>
class __Pyx_Optional_Type : private __Pyx_Optional_BaseType<T> {
public:
    using __Pyx_Optional_BaseType<T>::__Pyx_Optional_BaseType;
    using __Pyx_Optional_BaseType<T>::has_value;
    using __Pyx_Optional_BaseType<T>::operator*;
    using __Pyx_Optional_BaseType<T>::operator->;
#if __cplusplus >= 201103L || (defined(_MSC_VER) && _MSC_VER >= 1600)
    __Pyx_Optional_Type& operator=(const __Pyx_Optional_Type& rhs) {
        this->emplace(*rhs);
        return *this;
    }
    __Pyx_Optional_Type& operator=(__Pyx_Optional_Type&& rhs) {
        this->emplace(std::move(*rhs));
        return *this;
    }
    template <typename U=T>
    __Pyx_Optional_Type& operator=(U&& rhs) {
        this->emplace(std::forward<U>(rhs));
        return *this;
    }
#else
    // Note - the "cpp_locals" feature is designed to require C++14.
    // This pre-c++11 fallback is largely untested, and definitely won't work
    // in all the cases that the more modern version does
    using __Pyx_Optional_BaseType<T>::operator=; // the chances are emplace can't work...
#endif
};