summarylogtreecommitdiffstats
path: root/cython-v1.9.5.patch
diff options
context:
space:
mode:
authoroysstu2018-12-17 21:52:40 +0100
committeroysstu2018-12-17 21:52:40 +0100
commitf02f41888e6ec7bf3ddc2af771ec84f9f9b1e0fd (patch)
treef38b947270c2327e421393ee7cf1e3060b829520 /cython-v1.9.5.patch
parent889d51336cfa367511bf2f865c9693e2f198f5bd (diff)
downloadaur-f02f41888e6ec7bf3ddc2af771ec84f9f9b1e0fd.tar.gz
Update to v1.9.6
Diffstat (limited to 'cython-v1.9.5.patch')
-rw-r--r--cython-v1.9.5.patch37
1 files changed, 0 insertions, 37 deletions
diff --git a/cython-v1.9.5.patch b/cython-v1.9.5.patch
deleted file mode 100644
index 2693eedcf9d4..000000000000
--- a/cython-v1.9.5.patch
+++ /dev/null
@@ -1,37 +0,0 @@
-diff -ura src/GPy-1.9.5/GPy/models/state_space_cython.pyx src/GPy-1.9.5/GPy/models/state_space_cython.pyx
---- src/GPy-1.9.5/GPy/models/state_space_cython.pyx 2018-09-02 23:50:17.000000000 +0200
-+++ src/GPy-1.9.5/GPy/models/state_space_cython.pyx 2018-09-16 16:16:08.000000000 +0200
-@@ -484,7 +484,7 @@
- if matrix_index in self.Q_square_root_dict:
- square_root = self.Q_square_root_dict[matrix_index]
- else:
-- if matrix_index not in self.Q_svd_dict
-+ if matrix_index not in self.Q_svd_dict:
- U,S,Vh = sp.linalg.svd( self.Qs[:,:, matrix_index],
- full_matrices=False, compute_uv=True,
- overwrite_a=False, check_finite=False)
-@@ -514,7 +514,7 @@
- if matrix_index in self.Q_inverse_dict:
- Q_inverse = self.Q_inverse_dict[matrix_index]
- else:
-- if matrix_index not in self.Q_svd_dict
-+ if matrix_index not in self.Q_svd_dict:
- U,S,Vh = sp.linalg.svd( self.Qs[:,:, matrix_index],
- full_matrices=False, compute_uv=True,
- overwrite_a=False, check_finite=False)
-@@ -522,7 +522,7 @@
- else:
- U,S,Vh = self.Q_svd_dict[matrix_index]
-
-- Q_inverse = Q_inverse = np.dot( Vh.T * ( 1.0/(S + jitter)) , U.T )
-+ Q_inverse = Q_inverse = np.dot( Vh.T * ( 1.0/(S + jitter)) , U.T )
- self.Q_inverse_dict[matrix_index] = Q_inverse
-
- return Q_inverse
-@@ -998,4 +998,4 @@
- M[k+1,:,:] = m_upd # separate mean value for each time series
- P[k+1,:,:] = P_upd[0]
-
-- return (M, P, log_likelihood, grad_log_likelihood, p_dynamic_callables.reset(False))
-\ No newline at end of file
-+ return (M, P, log_likelihood, grad_log_likelihood, p_dynamic_callables.reset(False))