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# -----------------------------------------------------------------------
# Copyright: 2010-2016, iMinds-Vision Lab, University of Antwerp
# 2013-2016, CWI, Amsterdam
#
# Contact: astra@uantwerpen.be
# Website: http://sf.net/projects/astra-toolbox
#
# This file is part of the ASTRA Toolbox.
#
#
# The ASTRA Toolbox is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# The ASTRA Toolbox is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>.
#
# -----------------------------------------------------------------------
#
# distutils: language = c++
# distutils: libraries = astra
import six
try:
from six.moves import range
except ImportError:
# six 1.3.0
from six.moves import xrange as range
import numpy as np
import scipy.sparse as ss
from libcpp cimport bool
cimport PyMatrixManager
from .PyMatrixManager cimport CMatrixManager
from .PyIncludes cimport *
from .utils import wrap_from_bytes
cdef CMatrixManager * manM = <CMatrixManager * >PyMatrixManager.getSingletonPtr()
def delete(ids):
try:
for i in ids:
manM.remove(i)
except TypeError:
manM.remove(ids)
def clear():
manM.clear()
cdef int csr_matrix_to_astra(data,CSparseMatrix *mat) except -1:
if isinstance(data,ss.csr_matrix):
csrD = data
else:
csrD = data.tocsr()
if not mat.isInitialized():
raise Exception("Couldn't initialize data object.")
if csrD.nnz > mat.m_lSize or csrD.shape[0] > mat.m_iHeight:
raise Exception("Matrix too large to store in this object.")
for i in range(len(csrD.indptr)):
mat.m_plRowStarts[i] = csrD.indptr[i]
for i in range(csrD.nnz):
mat.m_piColIndices[i] = csrD.indices[i]
mat.m_pfValues[i] = csrD.data[i]
cdef astra_to_csr_matrix(CSparseMatrix *mat):
indptr = np.zeros(mat.m_iHeight+1,dtype=np.int)
indices = np.zeros(mat.m_plRowStarts[mat.m_iHeight],dtype=np.int)
data = np.zeros(mat.m_plRowStarts[mat.m_iHeight])
for i in range(mat.m_iHeight+1):
indptr[i] = mat.m_plRowStarts[i]
for i in range(mat.m_plRowStarts[mat.m_iHeight]):
indices[i] = mat.m_piColIndices[i]
data[i] = mat.m_pfValues[i]
return ss.csr_matrix((data,indices,indptr),shape=(mat.m_iHeight,mat.m_iWidth))
def create(data):
cdef CSparseMatrix* pMatrix
pMatrix = new CSparseMatrix(data.shape[0], data.shape[1], data.nnz)
if not pMatrix.isInitialized():
del pMatrix
raise Exception("Couldn't initialize data object.")
try:
csr_matrix_to_astra(data,pMatrix)
except:
del pMatrix
raise Exception("Failed to create data object.")
return manM.store(pMatrix)
cdef CSparseMatrix * getObject(i) except NULL:
cdef CSparseMatrix * pDataObject = manM.get(i)
if pDataObject == NULL:
raise Exception("Data object not found")
if not pDataObject.isInitialized():
raise Exception("Data object not initialized properly.")
return pDataObject
def store(i,data):
cdef CSparseMatrix * pDataObject = getObject(i)
csr_matrix_to_astra(data,pDataObject)
def get_size(i):
cdef CSparseMatrix * pDataObject = getObject(i)
return (pDataObject.m_iHeight,pDataObject.m_iWidth)
def get(i):
cdef CSparseMatrix * pDataObject = getObject(i)
return astra_to_csr_matrix(pDataObject)
def info():
six.print_(wrap_from_bytes(manM.info()))
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