diff options
author | KatolaZ <katolaz@yahoo.it> | 2015-05-12 12:03:53 +0100 |
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committer | KatolaZ <katolaz@yahoo.it> | 2015-05-12 12:03:53 +0100 |
commit | f6c8d6f8691ce36546abb115054d466f1f35f532 (patch) | |
tree | 2462e4ca475525c9da6fea165b43b0983e608878 /python | |
parent | a56739c87b2d29c493ee41f60af388bada70c455 (diff) | |
parent | 815c998aa757969edd25b34a8eefa8f5be4d4097 (diff) |
Merge branch 'lightK'
Conflicts:
python/multired.py
Diffstat (limited to 'python')
-rw-r--r-- | python/multired.py | 18 |
1 files changed, 10 insertions, 8 deletions
diff --git a/python/multired.py b/python/multired.py index 2b52a4f..06fbc79 100644 --- a/python/multired.py +++ b/python/multired.py @@ -35,6 +35,7 @@ # -------------------------------------------- # # -- 2015/04/23 -- release 0.1 +# -- 2015/05/11 -- release 0.1.1 -- removed the last full matrices # @@ -122,8 +123,8 @@ class layer: elif matrix != None: self.adj_matr = copy.copy(matrix) self.N, _x = matrix.shape - K = np.multiply(self.adj_matr.sum(0), np.ones((self.N,self.N))) - D = np.diag(np.diag(K)) + K = self.adj_matr.sum(0).reshape((1, self.N)).tolist()[0] + D = csr_matrix((K, (range(self.N), range(self.N)) ), shape=(self.N, self.N)) self.laplacian = csr_matrix(D - self.adj_matr) K = self.laplacian.diagonal().sum() self.resc_laplacian = csr_matrix(self.laplacian / K) @@ -134,13 +135,13 @@ class layer: self.N = N self.adj_matr = csr_matrix((self._ww, (self._ii, self._jj)), shape=(self.N, self.N)) self.adj_matr = self.adj_matr + self.adj_matr.transpose() - K = np.multiply(self.adj_matr.sum(0), np.ones((self.N,self.N))) - D = np.diag(np.diag(K)) + K = self.adj_matr.sum(0).reshape((1, self.N)).tolist()[0] + D = csr_matrix((K, (range(self.N), range(self.N)) ), shape=(self.N, self.N)) self.laplacian = csr_matrix(D - self.adj_matr) K = self.laplacian.diagonal().sum() self.resc_laplacian = csr_matrix(self.laplacian / K) self._matrix_called = True - + def dump_info(self): N, M = self.adj_matr.shape K = self.adj_matr.nnz @@ -170,14 +171,15 @@ class layer: self.adj_matr = self.adj_matr + other_layer.adj_matr else: self.adj_matr = copy.copy(other_layer.adj_matr) - K = np.multiply(self.adj_matr.sum(0), np.ones((self.N,self.N))) - D = np.diag(np.diag(K)) + K = self.adj_matr.sum(0).reshape((1, self.N)).tolist()[0] + D = csr_matrix((K, (range(self.N), range(self.N)) ), shape=(self.N, self.N)) self.laplacian = csr_matrix(D - self.adj_matr) K = self.laplacian.diagonal().sum() self.resc_laplacian = csr_matrix(self.laplacian / K) self._matrix_called = True - + def dump_laplacian(self): + print self.laplacian class multiplex_red: |