diff options
| -rw-r--r-- | .SRCINFO | 8 | ||||
| -rw-r--r-- | PKGBUILD | 12 | ||||
| -rw-r--r-- | cython-v1.9.5.patch | 37 |
3 files changed, 7 insertions, 50 deletions
@@ -1,6 +1,6 @@ pkgbase = python-gpy pkgdesc = Gaussian processes framework in python - pkgver = 1.9.5 + pkgver = 1.9.6 pkgrel = 1 url = https://github.com/SheffieldML/GPy arch = any @@ -23,10 +23,8 @@ pkgbase = python-gpy optdepends = python-jupyter_client optdepends = jupyter-notebook optdepends = python-mpi4py - source = https://github.com/SheffieldML/GPy/archive/v1.9.5.tar.gz - source = cython-v1.9.5.patch - sha512sums = e4d45b426977ef1d987ffde9275adeeac3eb85874cee4049f40a255c14a54ebcfb7e1c402046af6818e20a7b166e51162731d3d904f2e43e830519c6c9489ae2 - sha512sums = 1c173cdac44e13663a6320528fa4a772c17adb37039dbda34633f1d4912ea5c3192cc7b13ac61bc036e06c538e5b5b63201b3a72ca7ebc37234dd2643e62ac0e + source = https://files.pythonhosted.org/packages/source/G/GPy/GPy-1.9.6.tar.gz + sha256sums = f11d649b3320d4cb836d283706754953277c8696977726803ccd3ee1355a94a7 pkgname = python-gpy @@ -2,7 +2,8 @@ # Contributor: pkgname=python-gpy -pkgver=1.9.5 +_name=GPy +pkgver=1.9.6 pkgrel=1 pkgdesc="Gaussian processes framework in python" arch=("any") @@ -11,15 +12,10 @@ url="https://github.com/SheffieldML/GPy" depends=('python' 'python-numpy' 'python-scipy' 'python-six' 'python-paramz' 'python-matplotlib' 'python-climin-git') optdepends=('python-plotly' 'ipython' 'python-sphinx' 'python-ipykernel' 'python-ipywidgets' 'python-jupyter_client' 'jupyter-notebook' 'python-mpi4py') makedepends=('python-setuptools' 'python-numpy' 'cython') -source=("https://github.com/SheffieldML/GPy/archive/v${pkgver}.tar.gz" - "cython-v1.9.5.patch") -sha512sums=("e4d45b426977ef1d987ffde9275adeeac3eb85874cee4049f40a255c14a54ebcfb7e1c402046af6818e20a7b166e51162731d3d904f2e43e830519c6c9489ae2" - "1c173cdac44e13663a6320528fa4a772c17adb37039dbda34633f1d4912ea5c3192cc7b13ac61bc036e06c538e5b5b63201b3a72ca7ebc37234dd2643e62ac0e") +source=("https://files.pythonhosted.org/packages/source/${_name::1}/${_name}/${_name}-${pkgver}.tar.gz") +sha256sums=("f11d649b3320d4cb836d283706754953277c8696977726803ccd3ee1355a94a7") prepare() { - # Fix Cython compilation errors (https://github.com/SheffieldML/GPy/pull/677) - patch -p1 -i cython-v1.9.5.patch - cd "GPy-${pkgver}" # Forcibly update cython for python 3.7 (https://github.com/SheffieldML/GPy/issues/649) 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)) |