def _backend(self):
"""
Query function for the c++ backend object.
"""
if self.__backend is None:
# Construct the c++ backend object.
cpp_types = stringListToStdVectorString(self.__types)
cpp_coords = numpy2DArrayToStdVectorStdVectorDouble(
self.__lattice.sites())
cpp_possible_types = Backend.StdMapStringInt(self.__possible_types)
# Send in the coordinates and types to construct the backend configuration.
self.__backend = Backend.Configuration(cpp_coords, cpp_types,
cpp_possible_types)
# Return the backend.
return self.__backend
def _backend(self):
"""
Query function for the c++ backend object.
"""
if self.__backend is None:
# Construct the c++ backend object.
cpp_types = stringListToStdVectorString(self.__types)
cpp_coords = numpy2DArrayToStdVectorStdVectorDouble(self.__lattice.sites())
cpp_possible_types = Backend.StdMapStringInt(self.__possible_types)
# Send in the coordinates and types to construct the backend configuration.
self.__backend = Backend.Configuration(cpp_coords,
cpp_types,
cpp_possible_types)
# Return the backend.
return self.__backend
def testNumpy2DArrayToStdVectorStdVectorDouble(self):
""" Test the conversion of a 2D numpy array to a std::vector representation. """
nI = 3;
nJ = 5;
array = numpy.random.rand(nI,nJ)
# Convert to c++
cpp_array = numpy2DArrayToStdVectorStdVectorDouble(array)
# Check the size.
self.assertEqual(cpp_array.size(), nI)
self.assertEqual(len(cpp_array[0]), nJ)
# Convert back and check values.
converted = []
for row in cpp_array:
converted.append(numpy.array(row))
converted = numpy.array(converted)
# Check.
self.assertAlmostEqual(numpy.linalg.norm(array-converted), 0.0, 10)
def testNumpy2DArrayToStdVectorStdVectorDouble(self):
""" Test the conversion of a 2D numpy array to a std::vector representation. """
nI = 3
nJ = 5
array = numpy.random.rand(nI, nJ)
# Convert to c++
cpp_array = numpy2DArrayToStdVectorStdVectorDouble(array)
# Check the size.
self.assertEqual(cpp_array.size(), nI)
self.assertEqual(len(cpp_array[0]), nJ)
# Convert back and check values.
converted = []
for row in cpp_array:
converted.append(numpy.array(row))
converted = numpy.array(converted)
# Check.
self.assertAlmostEqual(numpy.linalg.norm(array - converted), 0.0, 10)
def _backend(self, possible_types):
"""
Query for the local configuration backend object.
:param possible_types: A dict with the global mapping of type strings
to integers.
:returns: The interactions object in C++
"""
if self.__backend is None:
# Construct the c++ backend object.
cpp_types = Backend.StdVectorString(self.__types)
cpp_coords = numpy2DArrayToStdVectorStdVectorDouble(self.__coordinates)
cpp_possible_types = Backend.StdMapStringInt(possible_types)
# Send in the coordinates and types to construct the backend configuration.
self.__backend = Backend.Configuration(cpp_coords,
cpp_types,
cpp_possible_types)
# Return the backend.
return self.__backend
