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/*=========================================================================
*
* Copyright NumFOCUS
*
* Licensed 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
*
* https://www.apache.org/licenses/LICENSE-2.0.txt
*
* 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.
*
*=========================================================================*/
#ifndef itkPyVectorContainer_hxx
#define itkPyVectorContainer_hxx
#include <stdexcept>
namespace itk
{
template <typename TElementIdentifier, typename TElement>
PyObject *
PyVectorContainer<TElementIdentifier, TElement>::_array_view_from_vector_container(VectorContainerType * vector)
{
PyObject * memoryView = NULL;
Py_buffer pyBuffer;
memset(&pyBuffer, 0, sizeof(Py_buffer));
size_t elementSize = sizeof(DataType);
int res = 0;
if (!vector)
{
throw std::runtime_error("Input vector is null");
}
DataType * buffer = vector->CastToSTLContainer().data();
void * vectorBuffer = (void *)(buffer);
// Computing the length of data
Py_ssize_t len = vector->Size();
len *= elementSize;
res = PyBuffer_FillInfo(&pyBuffer, NULL, (void *)vectorBuffer, len, 0, PyBUF_CONTIG);
memoryView = PyMemoryView_FromBuffer(&pyBuffer);
PyBuffer_Release(&pyBuffer);
return memoryView;
}
template <typename TElementIdentifier, typename TElement>
auto
PyVectorContainer<TElementIdentifier, TElement>::_vector_container_from_array(PyObject * arr, PyObject * shape) -> const
typename VectorContainerType::Pointer
{
PyObject * obj = NULL;
PyObject * shapeseq = NULL;
PyObject * item = NULL;
Py_ssize_t bufferLength;
Py_buffer pyBuffer;
memset(&pyBuffer, 0, sizeof(Py_buffer));
size_t numberOfElements = 1;
const void * buffer;
unsigned int dimension = 0;
size_t elementSize = sizeof(DataType);
size_t len = 1;
if (PyObject_GetBuffer(arr, &pyBuffer, PyBUF_CONTIG) == -1)
{
PyErr_SetString(PyExc_RuntimeError, "Cannot get an instance of NumPy array.");
PyBuffer_Release(&pyBuffer);
return nullptr;
}
else
{
bufferLength = pyBuffer.len;
buffer = pyBuffer.buf;
}
obj = shape;
shapeseq = PySequence_Fast(obj, "expected sequence");
dimension = PySequence_Size(obj);
item = PySequence_GetItem(shapeseq, 0); // Only one dimension
numberOfElements = (size_t)PyInt_AsLong(item);
Py_DECREF(item);
len = numberOfElements * elementSize;
if (bufferLength != len)
{
PyErr_SetString(PyExc_RuntimeError, "Size mismatch of vector and Buffer.");
PyBuffer_Release(&pyBuffer);
return nullptr;
}
DataType * data = (DataType *)buffer;
auto output = VectorContainerType::New();
output->resize(numberOfElements);
for (size_t ii = 0; ii < numberOfElements; ++ii)
{
output->SetElement(ii, data[ii]);
}
PyBuffer_Release(&pyBuffer);
return output;
}
} // namespace itk
#endif
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