init.py
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	import scipy.sparse as _aka_sparse
	import numpy as _aka_np
	import py11_akantu

	private_keys = set(dir(py11_akantu)) - set(dir())

	for k in private_keys:
	globals()[k] = getattr(py11_akantu, k)

	if py11_akantu.has_mpi():
	try:
	from mpi4py import MPI # noqa: F401
	except Exception:
	pass


	def initialize(args, *kwargs):
	raise RuntimeError("No need to call initialize,"
	" use parseInput to read an input file")


	def finalize(args, *kwargs):
	raise RuntimeError("No need to call finalize")


	class AkantuSparseMatrix (_aka_sparse.coo_matrix):

	def __init__(self, aka_sparse):

	self.aka_sparse = aka_sparse
	matrix_type = self.aka_sparse.getMatrixType()
	sz = self.aka_sparse.size()
	row = self.aka_sparse.getIRN()[:, 0] - 1
	col = self.aka_sparse.getJCN()[:, 0] - 1
	data = self.aka_sparse.getA()[:, 0]

	row = row.copy()
	col = col.copy()
	data = data.copy()

	if matrix_type == py11_akantu._symmetric:
	non_diags = (row != col)
	row_sup = col[non_diags]
	col_sup = row[non_diags]
	data_sup = data[non_diags]
	col = _aka_np.concatenate((col, col_sup))
	row = _aka_np.concatenate((row, row_sup))
	data = _aka_np.concatenate((data, data_sup))

	_aka_sparse.coo_matrix.__init__(
	self, (data, (row, col)), shape=(sz, sz))


	FromStress = py11_akantu.FromHigherDim
	FromTraction = py11_akantu.FromSameDim
	py11_akantu.__initialize()