Changed the place of index_to_slices to more logical place

GPy/kern/src/ODE_UY.py

@@ -2,7 +2,7 @@
 # Licensed under the BSD 3-clause license (see LICENSE.txt)
 
 from .kern import Kern
-from .independent_outputs import index_to_slices
+from GPy.util.multioutput import index_to_slices
 from ...core.parameterization import Param
 from paramz.transformations import Logexp
 import numpy as np

GPy/kern/src/ODE_UYC.py

@@ -5,7 +5,7 @@ from .kern import Kern
 from ...core.parameterization import Param
 from paramz.transformations import Logexp
 import numpy as np
-from .independent_outputs import index_to_slices
+from GPy.util.multioutput import index_to_slices
 
 class ODE_UYC(Kern):
     def __init__(self, input_dim, variance_U=3., variance_Y=1., lengthscale_U=1., lengthscale_Y=1., ubias =1. ,active_dims=None, name='ode_uyc'):

GPy/kern/src/ODE_st.py

@@ -4,7 +4,7 @@ from .kern import Kern
 from ...core.parameterization import Param
 from paramz.transformations import Logexp
 import numpy as np
-from .independent_outputs import index_to_slices
+from GPy.util.multioutput import index_to_slices
 
 
 class ODE_st(Kern):

GPy/kern/src/ODE_t.py

@@ -2,7 +2,7 @@ from .kern import Kern
 from ...core.parameterization import Param
 from paramz.transformations import Logexp
 import numpy as np
-from .independent_outputs import index_to_slices
+from GPy.util.multioutput import index_to_slices
 
 
 class ODE_t(Kern):

GPy/kern/src/independent_outputs.py

@@ -5,34 +5,8 @@
 from .kern import CombinationKernel
 import numpy as np
 import itertools
+from GPy.util.multioutput import index_to_slices
 
-def index_to_slices(index):
-    """
-    take a numpy array of integers (index) and return a  nested list of slices such that the slices describe the start, stop points for each integer in the index.
-
-    e.g.
-    >>> index = np.asarray([0,0,0,1,1,1,2,2,2])
-    returns
-    >>> [[slice(0,3,None)],[slice(3,6,None)],[slice(6,9,None)]]
-
-    or, a more complicated example
-    >>> index = np.asarray([0,0,1,1,0,2,2,2,1,1])
-    returns
-    >>> [[slice(0,2,None),slice(4,5,None)],[slice(2,4,None),slice(8,10,None)],[slice(5,8,None)]]
-    """
-    if len(index)==0:
-        return[]
-
-    #contruct the return structure
-    ind = np.asarray(index,dtype=np.int)
-    ret = [[] for i in range(ind.max()+1)]
-
-    #find the switchpoints
-    ind_ = np.hstack((ind,ind[0]+ind[-1]+1))
-    switchpoints = np.nonzero(ind_ - np.roll(ind_,+1))[0]
-
-    [ret[ind_i].append(slice(*indexes_i)) for ind_i,indexes_i in zip(ind[switchpoints[:-1]],zip(switchpoints,switchpoints[1:]))]
-    return ret
 
 class IndependentOutputs(CombinationKernel):
     """

GPy/kern/src/multioutput_kern.py

@@ -1,7 +1,7 @@
 from .kern import Kern, CombinationKernel
 import numpy as np
 from functools import reduce, partial
-from .independent_outputs import index_to_slices
+from GPy.util.multioutput import index_to_slices
 from paramz.caching import Cache_this
 
 class ZeroKern(Kern):

GPy/kern/src/splitKern.py

@@ -4,7 +4,7 @@ A new kernel
 
 import numpy as np
 from .kern import Kern, CombinationKernel
-from .independent_outputs import index_to_slices
+from GPy.util.multioutput import index_to_slices
 import itertools
 
 class DEtime(Kern):

GPy/likelihoods/multioutput_likelihood.py

@@ -14,7 +14,7 @@ from .gaussian import Gaussian
 from ..core.parameterization import Param
 from paramz.transformations import Logexp
 from ..core.parameterization import Parameterized
-from ..kern.src.independent_outputs import index_to_slices
+from GPy.util.multioutput import index_to_slices
 import itertools
 
 class MultioutputLikelihood(MixedNoise):

GPy/util/multioutput.py

@@ -2,6 +2,33 @@ import numpy as np
 import warnings
 import GPy
 
+def index_to_slices(index):
+    """
+    take a numpy array of integers (index) and return a  nested list of slices such that the slices describe the start, stop points for each integer in the index.
+
+    e.g.
+    >>> index = np.asarray([0,0,0,1,1,1,2,2,2])
+    returns
+    >>> [[slice(0,3,None)],[slice(3,6,None)],[slice(6,9,None)]]
+
+    or, a more complicated example
+    >>> index = np.asarray([0,0,1,1,0,2,2,2,1,1])
+    returns
+    >>> [[slice(0,2,None),slice(4,5,None)],[slice(2,4,None),slice(8,10,None)],[slice(5,8,None)]]
+    """
+    if len(index)==0:
+        return[]
+
+    #contruct the return structure
+    ind = np.asarray(index,dtype=np.int)
+    ret = [[] for i in range(ind.max()+1)]
+
+    #find the switchpoints
+    ind_ = np.hstack((ind,ind[0]+ind[-1]+1))
+    switchpoints = np.nonzero(ind_ - np.roll(ind_,+1))[0]
+
+    [ret[ind_i].append(slice(*indexes_i)) for ind_i,indexes_i in zip(ind[switchpoints[:-1]],zip(switchpoints,switchpoints[1:]))]
+    return ret
 
 def get_slices(input_list):
     num_outputs = len(input_list)