ó ž÷Xc@@sAdZddlmZddlZdd„Zddd„ZdS(sNumpy-related utilities.i(tabsolute_importNcC@svtj|ddƒjƒ}|s7tj|ƒd}n|jd}tj||fƒ}d|tj|ƒ|f<|S(sWConverts a class vector (integers) to binary class matrix. E.g. for use with categorical_crossentropy. # Arguments y: class vector to be converted into a matrix (integers from 0 to num_classes). num_classes: total number of classes. # Returns A binary matrix representation of the input. tdtypetintii(tnptarraytraveltmaxtshapetzerostarange(tyt num_classestnt categorical((s3/tmp/pip-build-isqEY4/keras/keras/utils/np_utils.pytto_categoricals  i˙˙˙˙icC@sEtjtjj|||ƒƒ}d||dk<|tj||ƒS(sńNormalizes a Numpy array. # Arguments x: Numpy array to normalize. axis: axis along which to normalize. order: Normalization order (e.g. 2 for L2 norm). # Returns A normalized copy of the array. ii(Rt atleast_1dtlinalgtnormt expand_dims(txtaxistordertl2((s3/tmp/pip-build-isqEY4/keras/keras/utils/np_utils.pyt normalizes !(t__doc__t __future__RtnumpyRtNoneRR(((s3/tmp/pip-build-isqEY4/keras/keras/utils/np_utils.pyts