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How to use test_l0 method in avocado

Best Python code snippet using avocado_python

test_safeloader_core.py

Source:test_safeloader_core.py

...86# A level 0 library containing a base test class87L0_LIB = """88from avocado import Test89class BaseL0(Test):90    def test_l0(self):91        pass92"""93L1_LIB1 = """94from ..l0lib import BaseL095class BaseL1(BaseL0):96    def test_l1(self):97        pass98"""99L1_LIB2 = """100from .. import l0lib101class BaseL1(l0lib.BaseL0):102    def test_l1(self):103        pass104"""...

precomp_matrix_mnist.py

Source:precomp_matrix_mnist.py

1import os2import numpy as np3from util import load_data, ROOT_PATH,_sqdist4from sklearn.decomposition import PCA5def precomp(sname,i,seed=527):6    np.random.seed(seed)7    train, dev, test = load_data(ROOT_PATH+'/data/'+sname+'/main.npz',Torch=False)8    folder = ROOT_PATH+'/tmp/'9    os.makedirs(folder, exist_ok=True)10    if sname in ['mnist_z','mnist_xz']:11        M = int(train.z.shape[0]/400)12        train_K0 = _sqdist(train.z[i*M:(i+1)*M],train.z)13        dev_K0 = _sqdist(dev.z[i*M:(i+1)*M],dev.z)14        np.savez(folder+'{}_K_{}.npz'.format(sname,i),train_K0=train_K0, dev_K0 = dev_K0)15    16    if i < 8 and sname in ['mnist_x','mnist_xz']:17        pca = PCA(n_components=8)18        pca.fit(train.x)19        X = pca.transform(train.x)20        test_X = pca.transform(test.x)21        dev_X = pca.transform(dev.x)22        train_L0 = _sqdist(X[:,[i]],X[:,[i]])23        dev_L0 = _sqdist(dev_X[:,[i]],X[:,[i]])24        test_L0 = _sqdist(test_X[:,[i]],X[:,[i]])25        np.savez(folder+'{}_L_{}.npz'.format(sname,i),train_L0=train_L0, test_L0=test_L0, dev_L0 = dev_L0)26if __name__ == '__main__':27    for ind in range(400):28        for sname in ['mnist_z','mnist_x','mnist_xz']:29            precomp(sname,ind)30    folder = ROOT_PATH+'/mnist_precomp/'31    os.makedirs(folder, exist_ok=True)32    for sname in ['mnist_z','mnist_x','mnist_xz']:33        if sname in ['mnist_z','mnist_xz']:34            train_K0 = []35            dev_K0 = []36            for w_id in range(400):37                res = np.load(ROOT_PATH+'/tmp/{}_K_{}.npz'.format(sname,w_id))38                os.remove(ROOT_PATH+'/tmp/{}_K_{}.npz'.format(sname,w_id))39                train_K0 += [res['train_K0']]40                dev_K0 += [res['dev_K0']]41            train_K0 = np.vstack(train_K0)42            dev_K0 = np.vstack(dev_K0)43            np.save(folder+'{}_train_K0.npy'.format(sname), train_K0)44            np.save(folder+'{}_dev_K0.npy'.format(sname), dev_K0)45            dist = np.sqrt(train_K0)46            a = np.median(dist.flatten())47            np.save(folder+'{}_ak.npy'.format(sname), a)48        49        if sname in ['mnist_x','mnist_xz']:50            train_L0 = []51            test_L0 = []52            for i in range(8):53                L0 = np.load(ROOT_PATH+'/tmp/{}_L_{}.npz'.format(sname,i))54                os.remove(ROOT_PATH + '/tmp/{}_L_{}.npz'.format(sname,i))55                train_L0 += [L0['train_L0']]56                test_L0 += [L0['test_L0']]57            np.savez(folder+'{}_Ls.npz'.format(sname),train_L0=train_L0, test_L0=test_L0)...

wsgi.py

Source:wsgi.py

1"""2WSGI config for test_l0 project.3It exposes the WSGI callable as a module-level variable named ``application``.4For more information on this file, see5https://docs.djangoproject.com/en/2.1/howto/deployment/wsgi/6"""7import os8from django.core.wsgi import get_wsgi_application9os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'test_l0.settings')...

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