fix ya.make

6 files changed, 0 insertions, 718 deletions

diff --git a/contrib/restricted/boost/libs/python/src/numpy/dtype.cpp b/contrib/restricted/boost/libs/python/src/numpy/dtype.cpp
deleted file mode 100644
index 88a20a27b5..0000000000
--- a/contrib/restricted/boost/libs/python/src/numpy/dtype.cpp
+++ /dev/null
@@ -1,220 +0,0 @@
-// Copyright Jim Bosch 2010-2012.
-// Copyright Stefan Seefeld 2016.
-// Distributed under the Boost Software License, Version 1.0.
-// (See accompanying file LICENSE_1_0.txt or copy at
-// http://www.boost.org/LICENSE_1_0.txt)
-
-#ifdef _MSC_VER
-#include <boost/cstdint.hpp>
-#endif
-#define BOOST_PYTHON_NUMPY_INTERNAL
-#include <boost/python/numpy/internal.hpp>
-
-#define DTYPE_FROM_CODE(code) \
-  dtype(python::detail::new_reference(reinterpret_cast<PyObject*>(PyArray_DescrFromType(code))))
-
-#define BUILTIN_INT_DTYPE(bits)                                         \
-  template <> struct builtin_int_dtype<bits, false>			\
-  {									\
-    static dtype get() { return DTYPE_FROM_CODE(NPY_INT ## bits);}	\
-  };									\
-  template <> struct builtin_int_dtype<bits, true>			\
-  {									\
-    static dtype get() { return DTYPE_FROM_CODE(NPY_UINT ## bits);}	\
-  };									\
-  template BOOST_NUMPY_DECL dtype get_int_dtype<bits, false>();		\
-  template BOOST_NUMPY_DECL dtype get_int_dtype<bits, true>()
-
-#define BUILTIN_FLOAT_DTYPE(bits)                                       \
-  template <> struct builtin_float_dtype<bits>				\
-  {									\
-    static dtype get() { return DTYPE_FROM_CODE(NPY_FLOAT ## bits);}	\
-  };									\
-  template BOOST_NUMPY_DECL dtype get_float_dtype<bits>()
-
-#define BUILTIN_COMPLEX_DTYPE(bits)                                     \
-  template <> struct builtin_complex_dtype<bits>			\
-  {									\
-    static dtype get() { return DTYPE_FROM_CODE(NPY_COMPLEX ## bits);}	\
-  };									\
-  template BOOST_NUMPY_DECL dtype get_complex_dtype<bits>()
-
-namespace boost { namespace python { namespace converter {
-NUMPY_OBJECT_MANAGER_TRAITS_IMPL(PyArrayDescr_Type, numpy::dtype)
-} // namespace boost::python::converter
-
-namespace numpy {
-namespace detail {
-
-dtype builtin_dtype<bool,true>::get() { return DTYPE_FROM_CODE(NPY_BOOL); }
-
-template <int bits, bool isUnsigned> struct builtin_int_dtype;
-template <int bits> struct builtin_float_dtype;
-template <int bits> struct builtin_complex_dtype;
-
-template <int bits, bool isUnsigned> dtype get_int_dtype() {
-    return builtin_int_dtype<bits,isUnsigned>::get();
-}
-template <int bits> dtype get_float_dtype() { return builtin_float_dtype<bits>::get(); }
-template <int bits> dtype get_complex_dtype() { return builtin_complex_dtype<bits>::get(); }
-
-BUILTIN_INT_DTYPE(8);
-BUILTIN_INT_DTYPE(16);
-BUILTIN_INT_DTYPE(32);
-BUILTIN_INT_DTYPE(64);
-#ifdef NPY_FLOAT16
-BUILTIN_FLOAT_DTYPE(16);
-#endif
-BUILTIN_FLOAT_DTYPE(32);
-BUILTIN_FLOAT_DTYPE(64);
-BUILTIN_COMPLEX_DTYPE(64);
-BUILTIN_COMPLEX_DTYPE(128);
-#if NPY_BITSOF_LONGDOUBLE > NPY_BITSOF_DOUBLE
-template <> struct builtin_float_dtype< NPY_BITSOF_LONGDOUBLE > {
-    static dtype get() { return DTYPE_FROM_CODE(NPY_LONGDOUBLE); }
-};
-template dtype get_float_dtype< NPY_BITSOF_LONGDOUBLE >();
-template <> struct builtin_complex_dtype< 2 * NPY_BITSOF_LONGDOUBLE > {
-    static dtype get() { return DTYPE_FROM_CODE(NPY_CLONGDOUBLE); }
-};
-template dtype get_complex_dtype< 2 * NPY_BITSOF_LONGDOUBLE >();
-#endif
-
-} // namespace detail
-
-python::detail::new_reference dtype::convert(object const & arg, bool align)
-{
-  PyArray_Descr* obj=NULL;
-  if (align)
-  {
-    if (PyArray_DescrAlignConverter(arg.ptr(), &obj) < 0)
-      throw_error_already_set();
-  }
-  else
-  {
-    if (PyArray_DescrConverter(arg.ptr(), &obj) < 0)
-      throw_error_already_set();
-  }
-  return python::detail::new_reference(reinterpret_cast<PyObject*>(obj));
-}
-
-int dtype::get_itemsize() const { return reinterpret_cast<PyArray_Descr*>(ptr())->elsize;}
-
-bool equivalent(dtype const & a, dtype const & b) {
-    // On Windows x64, the behaviour described on 
-    // http://docs.scipy.org/doc/numpy/reference/c-api.array.html for
-    // PyArray_EquivTypes unfortunately does not extend as expected:
-    // "For example, on 32-bit platforms, NPY_LONG and NPY_INT are equivalent".
-    // This should also hold for 64-bit platforms (and does on Linux), but not
-    // on Windows. Implement an alternative:
-#ifdef _MSC_VER
-    if (sizeof(long) == sizeof(int) &&
-        // Manually take care of the type equivalence.
-        ((a == dtype::get_builtin<long>() || a == dtype::get_builtin<int>()) &&
-         (b == dtype::get_builtin<long>() || b == dtype::get_builtin<int>()) ||
-         (a == dtype::get_builtin<unsigned int>() || a == dtype::get_builtin<unsigned long>()) &&
-         (b == dtype::get_builtin<unsigned int>() || b == dtype::get_builtin<unsigned long>()))) {
-        return true;
-    } else {
-        return PyArray_EquivTypes(
-            reinterpret_cast<PyArray_Descr*>(a.ptr()),
-            reinterpret_cast<PyArray_Descr*>(b.ptr())
-        );
-    }
-#else
-    return PyArray_EquivTypes(
-        reinterpret_cast<PyArray_Descr*>(a.ptr()),
-        reinterpret_cast<PyArray_Descr*>(b.ptr())
-    );
-#endif
-}
-
-namespace
-{
-
-namespace pyconv = boost::python::converter;
-
-template <typename T>
-class array_scalar_converter
-{
-public:
-
-  static PyTypeObject const * get_pytype()
-  {
-    // This implementation depends on the fact that get_builtin returns pointers to objects
-    // NumPy has declared statically, and that the typeobj member also refers to a static
-    // object.  That means we don't need to do any reference counting.
-    // In fact, I'm somewhat concerned that increasing the reference count of any of these
-    // might cause leaks, because I don't think Boost.Python ever decrements it, but it's
-    // probably a moot point if everything is actually static.
-    return reinterpret_cast<PyArray_Descr*>(dtype::get_builtin<T>().ptr())->typeobj;
-  }
-
-  static void * convertible(PyObject * obj)
-  {
-    if (obj->ob_type == get_pytype())
-    {
-      return obj;
-    }
-    else
-    {
-      dtype dt(python::detail::borrowed_reference(obj->ob_type));
-      if (equivalent(dt, dtype::get_builtin<T>()))
-      {
-	return obj;
-      }
-    }
-    return 0;
-  }
-
-  static void convert(PyObject * obj, pyconv::rvalue_from_python_stage1_data* data)
-  {
-    void * storage = reinterpret_cast<pyconv::rvalue_from_python_storage<T>*>(data)->storage.bytes;
-    // We assume std::complex is a "standard layout" here and elsewhere; not guaranteed by
-    // C++03 standard, but true in every known implementation (and guaranteed by C++11).
-    PyArray_ScalarAsCtype(obj, reinterpret_cast<T*>(storage));
-    data->convertible = storage;
-  }
-
-  static void declare()
-  {
-    pyconv::registry::push_back(&convertible, &convert, python::type_id<T>()
-#ifndef BOOST_PYTHON_NO_PY_SIGNATURES
-				, &get_pytype
-#endif
-				);
-  }
-
-};
-
-} // anonymous
-
-void dtype::register_scalar_converters()
-{
-  array_scalar_converter<bool>::declare();
-  array_scalar_converter<npy_uint8>::declare();
-  array_scalar_converter<npy_int8>::declare();
-  array_scalar_converter<npy_uint16>::declare();
-  array_scalar_converter<npy_int16>::declare();
-  array_scalar_converter<npy_uint32>::declare();
-  array_scalar_converter<npy_int32>::declare();
-#ifdef _MSC_VER
-  // Since the npy_(u)int32 types are defined as long types and treated
-  // as being different from the int32 types, these converters must be declared
-  // explicitely.
-  array_scalar_converter<boost::uint32_t>::declare();
-  array_scalar_converter<boost::int32_t>::declare();
-#endif
-  array_scalar_converter<npy_uint64>::declare();
-  array_scalar_converter<npy_int64>::declare();
-  array_scalar_converter<float>::declare();
-  array_scalar_converter<double>::declare();
-  array_scalar_converter< std::complex<float> >::declare();
-  array_scalar_converter< std::complex<double> >::declare();
-#if NPY_BITSOF_LONGDOUBLE > NPY_BITSOF_DOUBLE
-  array_scalar_converter<long double>::declare();
-  array_scalar_converter< std::complex<long double> >::declare();
-#endif
-}
-
-}}} // namespace boost::python::numpy
diff --git a/contrib/restricted/boost/libs/python/src/numpy/matrix.cpp b/contrib/restricted/boost/libs/python/src/numpy/matrix.cpp
deleted file mode 100644
index 47d2261637..0000000000
--- a/contrib/restricted/boost/libs/python/src/numpy/matrix.cpp
+++ /dev/null
@@ -1,63 +0,0 @@
-// Copyright Jim Bosch 2010-2012.
-// Copyright Stefan Seefeld 2016.
-// Distributed under the Boost Software License, Version 1.0.
-// (See accompanying file LICENSE_1_0.txt or copy at
-// http://www.boost.org/LICENSE_1_0.txt)
-
-#define BOOST_PYTHON_NUMPY_INTERNAL
-#include <boost/python/numpy/internal.hpp>
-#include <boost/python/numpy/matrix.hpp>
-
-namespace boost { namespace python { namespace numpy
-{
-namespace detail 
-{
-inline object get_matrix_type()
-{
-  object module = import("numpy");
-  return module.attr("matrix");
-}
-} // namespace boost::python::numpy::detail
-} // namespace boost::python::numpy
-
-namespace converter 
-{
-
-PyTypeObject const * object_manager_traits<numpy::matrix>::get_pytype()
-{
-  return reinterpret_cast<PyTypeObject*>(numpy::detail::get_matrix_type().ptr());
-}
-
-} // namespace boost::python::converter
-
-namespace numpy 
-{
-
-object matrix::construct(object const & obj, dtype const & dt, bool copy)
-{
-  return numpy::detail::get_matrix_type()(obj, dt, copy);
-}
-
-object matrix::construct(object const & obj, bool copy)
-{
-  return numpy::detail::get_matrix_type()(obj, object(), copy);
-}
-
-matrix matrix::view(dtype const & dt) const 
-{
-  return matrix(python::detail::new_reference
-    (PyObject_CallMethod(this->ptr(), const_cast<char*>("view"), const_cast<char*>("O"), dt.ptr())));
-}
-
-matrix matrix::copy() const 
-{
-  return matrix(python::detail::new_reference
-    (PyObject_CallMethod(this->ptr(), const_cast<char*>("copy"), const_cast<char*>(""))));
-}
-
-matrix matrix::transpose() const 
-{
-  return matrix(extract<matrix>(ndarray::transpose()));
-}
-
-}}} // namespace boost::python::numpy
diff --git a/contrib/restricted/boost/libs/python/src/numpy/ndarray.cpp b/contrib/restricted/boost/libs/python/src/numpy/ndarray.cpp
deleted file mode 100644
index af09ecc338..0000000000
--- a/contrib/restricted/boost/libs/python/src/numpy/ndarray.cpp
+++ /dev/null
@@ -1,301 +0,0 @@
-// Copyright Jim Bosch 2010-2012.
-// Copyright Stefan Seefeld 2016.
-// Distributed under the Boost Software License, Version 1.0.
-// (See accompanying file LICENSE_1_0.txt or copy at
-// http://www.boost.org/LICENSE_1_0.txt)
-
-#define BOOST_PYTHON_NUMPY_INTERNAL
-#include <boost/python/numpy/internal.hpp>
-#include <boost/scoped_array.hpp>
-
-namespace boost { namespace python {
-namespace converter 
-{
-NUMPY_OBJECT_MANAGER_TRAITS_IMPL(PyArray_Type, numpy::ndarray)
-} // namespace boost::python::converter
-
-namespace numpy 
-{
-namespace detail 
-{
-
-ndarray::bitflag numpy_to_bitflag(int const f)
-{
-  ndarray::bitflag r = ndarray::NONE;
-  if (f & NPY_ARRAY_C_CONTIGUOUS) r = (r | ndarray::C_CONTIGUOUS);
-  if (f & NPY_ARRAY_F_CONTIGUOUS) r = (r | ndarray::F_CONTIGUOUS);
-  if (f & NPY_ARRAY_ALIGNED) r = (r | ndarray::ALIGNED);
-  if (f & NPY_ARRAY_WRITEABLE) r = (r | ndarray::WRITEABLE);
-  return r;
-}
-
-int bitflag_to_numpy(ndarray::bitflag f)
-{
-  int r = 0;
-  if (f & ndarray::C_CONTIGUOUS) r |= NPY_ARRAY_C_CONTIGUOUS;
-  if (f & ndarray::F_CONTIGUOUS) r |= NPY_ARRAY_F_CONTIGUOUS;
-  if (f & ndarray::ALIGNED) r |= NPY_ARRAY_ALIGNED;
-  if (f & ndarray::WRITEABLE) r |= NPY_ARRAY_WRITEABLE;
-  return r;
-}
-
-bool is_c_contiguous(std::vector<Py_intptr_t> const & shape,
-		     std::vector<Py_intptr_t> const & strides,
-		     int itemsize)
-{
-  std::vector<Py_intptr_t>::const_reverse_iterator j = strides.rbegin();
-  int total = itemsize;
-  for (std::vector<Py_intptr_t>::const_reverse_iterator i = shape.rbegin(); i != shape.rend(); ++i, ++j) 
-  {
-    if (total != *j) return false;
-    total *= (*i);
-  }
-  return true;
-}
-
-bool is_f_contiguous(std::vector<Py_intptr_t> const & shape,
-		     std::vector<Py_intptr_t> const & strides,
-		     int itemsize)
-{
-  std::vector<Py_intptr_t>::const_iterator j = strides.begin();
-  int total = itemsize;
-  for (std::vector<Py_intptr_t>::const_iterator i = shape.begin(); i != shape.end(); ++i, ++j)
-  {
-    if (total != *j) return false;
-    total *= (*i);
-  }
-  return true;
-}
-
-bool is_aligned(std::vector<Py_intptr_t> const & strides,
-		int itemsize)
-{
-  for (std::vector<Py_intptr_t>::const_iterator i = strides.begin(); i != strides.end(); ++i) 
-  {
-    if (*i % itemsize) return false;
-  }
-  return true;
-}
-
-inline PyArray_Descr * incref_dtype(dtype const & dt) 
-{
-  Py_INCREF(dt.ptr());
-  return reinterpret_cast<PyArray_Descr*>(dt.ptr());
-}
-
-ndarray from_data_impl(void * data, 
-		       dtype const & dt, 
-		       python::object const & shape,
-		       python::object const & strides,
-		       python::object const & owner,
-		       bool writeable)
-{
-  std::vector<Py_intptr_t> shape_(len(shape));
-  std::vector<Py_intptr_t> strides_(len(strides));
-  if (shape_.size() != strides_.size()) 
-  {
-    PyErr_SetString(PyExc_ValueError, "Length of shape and strides arrays do not match.");
-    python::throw_error_already_set();
-  }
-  for (std::size_t i = 0; i < shape_.size(); ++i) 
-  {
-    shape_[i] = python::extract<Py_intptr_t>(shape[i]);
-    strides_[i] = python::extract<Py_intptr_t>(strides[i]);
-  }
-  return from_data_impl(data, dt, shape_, strides_, owner, writeable);
-}
-
-ndarray from_data_impl(void * data, 
-		       dtype const & dt, 
-		       std::vector<Py_intptr_t> const & shape,
-		       std::vector<Py_intptr_t> const & strides,
-		       python::object const & owner,
-		       bool writeable)
-{
-  if (shape.size() != strides.size()) 
-  {
-    PyErr_SetString(PyExc_ValueError, "Length of shape and strides arrays do not match.");
-    python::throw_error_already_set();
-  }
-  int itemsize = dt.get_itemsize();
-  int flags = 0;
-  if (writeable) flags |= NPY_ARRAY_WRITEABLE;
-  if (is_c_contiguous(shape, strides, itemsize)) flags |= NPY_ARRAY_C_CONTIGUOUS;
-  if (is_f_contiguous(shape, strides, itemsize)) flags |= NPY_ARRAY_F_CONTIGUOUS;
-  if (is_aligned(strides, itemsize)) flags |= NPY_ARRAY_ALIGNED;
-  ndarray r(python::detail::new_reference
-    (PyArray_NewFromDescr(&PyArray_Type,
-			  incref_dtype(dt),
-			  shape.size(),
-			  const_cast<Py_intptr_t*>(&shape.front()),
-			  const_cast<Py_intptr_t*>(&strides.front()),
-			  data,
-			  flags,
-			  NULL)));
-    r.set_base(owner);
-    return r;
-}
-
-} // namespace detail
-
-namespace {
-    int normalize_index(int n,int nlim) // wraps [-nlim:nlim) into [0:nlim), throw IndexError otherwise
-    {
-        if (n<0)
-            n += nlim; // negative indices work backwards from end
-        if (n < 0 || n >= nlim)
-        {
-            PyErr_SetObject(PyExc_IndexError, Py_None);
-            throw_error_already_set();
-        }
-        return n;
-    }
-}
-
-Py_intptr_t ndarray::shape(int n) const
-{
-    return get_shape()[normalize_index(n,get_nd())];
-}
-
-Py_intptr_t ndarray::strides(int n) const
-{
-    return get_strides()[normalize_index(n,get_nd())];
-}
-
-ndarray ndarray::view(dtype const & dt) const
-{
-  return ndarray(python::detail::new_reference
-    (PyObject_CallMethod(this->ptr(), const_cast<char*>("view"), const_cast<char*>("O"), dt.ptr())));
-}
-    
-ndarray ndarray::astype(dtype const & dt) const
-{
-  return ndarray(python::detail::new_reference
-    (PyObject_CallMethod(this->ptr(), const_cast<char*>("astype"), const_cast<char*>("O"), dt.ptr())));
-}
-
-ndarray ndarray::copy() const 
-{
-  return ndarray(python::detail::new_reference
-    (PyObject_CallMethod(this->ptr(), const_cast<char*>("copy"), const_cast<char*>(""))));
-}
-
-dtype ndarray::get_dtype() const 
-{
-  return dtype(python::detail::borrowed_reference(get_struct()->descr));
-}
-
-python::object ndarray::get_base() const 
-{
-  if (get_struct()->base == NULL) return object();
-  return python::object(python::detail::borrowed_reference(get_struct()->base));
-}
-
-void ndarray::set_base(object const & base) 
-{
-  Py_XDECREF(get_struct()->base);
-  if (base.ptr())
-  {
-    Py_INCREF(base.ptr());
-    get_struct()->base = base.ptr();
-  }
-  else
-  {
-    get_struct()->base = NULL;
-  }
-}
-
-ndarray::bitflag ndarray::get_flags() const
-{
-  return numpy::detail::numpy_to_bitflag(get_struct()->flags);
-}
-
-ndarray ndarray::transpose() const 
-{
-  return ndarray(python::detail::new_reference
-    (PyArray_Transpose(reinterpret_cast<PyArrayObject*>(this->ptr()), NULL)));
-}
-
-ndarray ndarray::squeeze() const 
-{
-  return ndarray(python::detail::new_reference
-    (PyArray_Squeeze(reinterpret_cast<PyArrayObject*>(this->ptr()))));
-}
-
-ndarray ndarray::reshape(python::tuple const & shape) const 
-{
-  return ndarray(python::detail::new_reference
-    (PyArray_Reshape(reinterpret_cast<PyArrayObject*>(this->ptr()), shape.ptr())));
-}
-
-python::object ndarray::scalarize() const 
-{
-  Py_INCREF(ptr());
-  return python::object(python::detail::new_reference(PyArray_Return(reinterpret_cast<PyArrayObject*>(ptr()))));
-}
-
-ndarray zeros(python::tuple const & shape, dtype const & dt) 
-{
-  int nd = len(shape);
-  boost::scoped_array<Py_intptr_t> dims(new Py_intptr_t[nd]);
-  for (int n=0; n<nd; ++n) dims[n] = python::extract<Py_intptr_t>(shape[n]);
-  return ndarray(python::detail::new_reference
-                 (PyArray_Zeros(nd, dims.get(), detail::incref_dtype(dt), 0)));
-}
-
-ndarray zeros(int nd, Py_intptr_t const * shape, dtype const & dt) 
-{
-  return ndarray(python::detail::new_reference
-    (PyArray_Zeros(nd, const_cast<Py_intptr_t*>(shape), detail::incref_dtype(dt), 0)));
-}
-
-ndarray empty(python::tuple const & shape, dtype const & dt) 
-{
-  int nd = len(shape);
-  boost::scoped_array<Py_intptr_t> dims(new Py_intptr_t[nd]);
-  for (int n=0; n<nd; ++n) dims[n] = python::extract<Py_intptr_t>(shape[n]);
-  return ndarray(python::detail::new_reference
-                 (PyArray_Empty(nd, dims.get(), detail::incref_dtype(dt), 0)));    
-}
-
-ndarray empty(int nd, Py_intptr_t const * shape, dtype const & dt)
-{
-  return ndarray(python::detail::new_reference
-    (PyArray_Empty(nd, const_cast<Py_intptr_t*>(shape), detail::incref_dtype(dt), 0)));
-}
-
-ndarray array(python::object const & obj) 
-{
-  return ndarray(python::detail::new_reference
-    (PyArray_FromAny(obj.ptr(), NULL, 0, 0, NPY_ARRAY_ENSUREARRAY, NULL)));
-}
-
-ndarray array(python::object const & obj, dtype const & dt) 
-{
-  return ndarray(python::detail::new_reference
-    (PyArray_FromAny(obj.ptr(), detail::incref_dtype(dt), 0, 0, NPY_ARRAY_ENSUREARRAY, NULL)));
-}
-
-ndarray from_object(python::object const & obj, dtype const & dt, int nd_min, int nd_max, ndarray::bitflag flags)
-{
-  int requirements = detail::bitflag_to_numpy(flags);
-  return ndarray(python::detail::new_reference
-    (PyArray_FromAny(obj.ptr(),
-		     detail::incref_dtype(dt),
-		     nd_min, nd_max,
-		     requirements,
-		     NULL)));
-}
-
-ndarray from_object(python::object const & obj, int nd_min, int nd_max, ndarray::bitflag flags) 
-{
-  int requirements = detail::bitflag_to_numpy(flags);
-  return ndarray(python::detail::new_reference
-    (PyArray_FromAny(obj.ptr(),
-		     NULL,
-		     nd_min, nd_max,
-		     requirements,
-		     NULL)));
-}
-
-}}} // namespace boost::python::numpy
diff --git a/contrib/restricted/boost/libs/python/src/numpy/numpy.cpp b/contrib/restricted/boost/libs/python/src/numpy/numpy.cpp
deleted file mode 100644
index 8e259bc755..0000000000
--- a/contrib/restricted/boost/libs/python/src/numpy/numpy.cpp
+++ /dev/null
@@ -1,33 +0,0 @@
-// Copyright Jim Bosch 2010-2012.
-// Copyright Stefan Seefeld 2016.
-// Distributed under the Boost Software License, Version 1.0.
-// (See accompanying file LICENSE_1_0.txt or copy at
-// http://www.boost.org/LICENSE_1_0.txt)
-
-#define BOOST_PYTHON_NUMPY_INTERNAL_MAIN
-#include <boost/python/numpy/internal.hpp>
-#include <boost/python/numpy/dtype.hpp>
-
-namespace boost { namespace python { namespace numpy {
-
-#if PY_MAJOR_VERSION == 2
-static void wrap_import_array()
-{
-  import_array();
-}
-#else
-static void * wrap_import_array()
-{
-  import_array();
-}
-#endif
-
-void initialize(bool register_scalar_converters) 
-{
-  wrap_import_array();
-  import_ufunc();
-  if (register_scalar_converters)
-	dtype::register_scalar_converters();
-}
-
-}}} // namespace boost::python::numpy
diff --git a/contrib/restricted/boost/libs/python/src/numpy/scalars.cpp b/contrib/restricted/boost/libs/python/src/numpy/scalars.cpp
deleted file mode 100644
index 3947c06f2c..0000000000
--- a/contrib/restricted/boost/libs/python/src/numpy/scalars.cpp
+++ /dev/null
@@ -1,36 +0,0 @@
-// Copyright Jim Bosch 2010-2012.
-// Copyright Stefan Seefeld 2016.
-// Distributed under the Boost Software License, Version 1.0.
-// (See accompanying file LICENSE_1_0.txt or copy at
-// http://www.boost.org/LICENSE_1_0.txt)
-
-#define BOOST_PYTHON_NUMPY_INTERNAL
-#include <boost/python/numpy/internal.hpp>
-
-namespace boost { namespace python {
-namespace converter 
-{
-NUMPY_OBJECT_MANAGER_TRAITS_IMPL(PyVoidArrType_Type, numpy::void_)
-} // namespace boost::python::converter
-
-namespace numpy 
-{
-
-void_::void_(Py_ssize_t size)
-  : object(python::detail::new_reference
-      (PyObject_CallFunction((PyObject*)&PyVoidArrType_Type, const_cast<char*>("i"), size)))
-{}
-
-void_ void_::view(dtype const & dt) const 
-{
-  return void_(python::detail::new_reference
-    (PyObject_CallMethod(this->ptr(), const_cast<char*>("view"), const_cast<char*>("O"), dt.ptr())));
-}
-
-void_ void_::copy() const 
-{
-  return void_(python::detail::new_reference
-    (PyObject_CallMethod(this->ptr(), const_cast<char*>("copy"), const_cast<char*>(""))));
-}
-
-}}} // namespace boost::python::numpy
diff --git a/contrib/restricted/boost/libs/python/src/numpy/ufunc.cpp b/contrib/restricted/boost/libs/python/src/numpy/ufunc.cpp
deleted file mode 100644
index 173d7213ec..0000000000
--- a/contrib/restricted/boost/libs/python/src/numpy/ufunc.cpp
+++ /dev/null
@@ -1,65 +0,0 @@
-// Copyright Jim Bosch 2010-2012.
-// Copyright Stefan Seefeld 2016.
-// Distributed under the Boost Software License, Version 1.0.
-// (See accompanying file LICENSE_1_0.txt or copy at
-// http://www.boost.org/LICENSE_1_0.txt)
-
-#define BOOST_PYTHON_NUMPY_INTERNAL
-#include <boost/python/numpy/internal.hpp>
-#include <boost/python/numpy/ufunc.hpp>
-
-namespace boost { namespace python {
-namespace converter 
-{
-NUMPY_OBJECT_MANAGER_TRAITS_IMPL(PyArrayMultiIter_Type, numpy::multi_iter)
-} // namespace boost::python::converter
-
-namespace numpy 
-{
-
-multi_iter make_multi_iter(object const & a1)
-{
-  return multi_iter(python::detail::new_reference(PyArray_MultiIterNew(1, a1.ptr())));
-}
-
-  multi_iter make_multi_iter(object const & a1, object const & a2)
-{
-  return multi_iter(python::detail::new_reference(PyArray_MultiIterNew(2, a1.ptr(), a2.ptr())));
-}
-
-multi_iter make_multi_iter(object const & a1, object const & a2, object const & a3)
-{
-  return multi_iter(python::detail::new_reference(PyArray_MultiIterNew(3, a1.ptr(), a2.ptr(), a3.ptr())));
-}
-
-void multi_iter::next() 
-{
-  PyArray_MultiIter_NEXT(ptr());
-}
-
-bool multi_iter::not_done() const 
-{
-  return PyArray_MultiIter_NOTDONE(ptr());
-}
-
-char * multi_iter::get_data(int i) const 
-{
-  return reinterpret_cast<char*>(PyArray_MultiIter_DATA(ptr(), i));
-}
-
-int multi_iter::get_nd() const
-{
-  return reinterpret_cast<PyArrayMultiIterObject*>(ptr())->nd;
-}
-
-Py_intptr_t const * multi_iter::get_shape() const 
-{
-  return reinterpret_cast<PyArrayMultiIterObject*>(ptr())->dimensions;
-}
-
-Py_intptr_t multi_iter::shape(int n) const
-{
-  return reinterpret_cast<PyArrayMultiIterObject*>(ptr())->dimensions[n];
-}
-
-}}} // namespace boost::python::numpy