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[param] indexing now returns exactly like numpy arrays

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Max Zwiessele 2014-05-12 14:47:07 +01:00
parent e9260b248c
commit c8da9602ec
2 changed files with 5 additions and 6 deletions
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6
GPy/core/parameterization/observable_array.py
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@ -1,7 +1,7 @@
# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
__updated__ = '2014-04-15'
__updated__ = '2014-05-12'
import numpy as np
from parameter_core import Observable, Pickleable
@ -15,10 +15,10 @@ class ObsAr(np.ndarray, Pickleable, Observable):
"""
__array_priority__ = -1 # Never give back ObsAr
def __new__(cls, input_array, *a, **kw):
# allways make a copy of input paramters, as we need it to be in C order:
if not isinstance(input_array, ObsAr):
obj = np.atleast_1d(np.require(input_array, dtype=np.float64, requirements=['W', 'C'])).view(cls)
obj = np.atleast_1d(np.require(np.copy(input_array), dtype=np.float64, requirements=['W', 'C'])).view(cls)
else: obj = input_array
#cls.__name__ = "ObsAr" # because of fixed printing of `array` in np printing
super(ObsAr, obj).__init__(*a, **kw)
return obj