def test_docompress(self):
output = self.pipe.run(get_compress_input())
target = os.path.join(self.tmpdir,"compressed.npz")
self.assertTrue(os.path.exists(target),
"No compression output file")
decomp = Decompressor(target)
recon = decomp.decompress()
errthresh = 0.65
for tsn in xrange(recon.shape[0]):
err = recon_error(output["data"][tsn][-1], recon[tsn,:])
self.assertTrue(err[0] > errthresh,
"Expected stream reconstruction accuracy > %f" % errthresh)
#to examine reconstruction versus original:
examine = False
if examine and tsn == 6:
plot(output["data"][tsn][-1],'r')
plot(recon[tsn,:],'b')
show()
def test_docompress(self):
output = self.pipe.run(get_compress_input())
target = os.path.join(self.tmpdir, "compressed.npz")
self.assertTrue(os.path.exists(target), "No compression output file")
decomp = Decompressor(target)
recon = decomp.decompress()
errthresh = 0.65
for tsn in xrange(recon.shape[0]):
err = recon_error(output["data"][tsn][-1], recon[tsn, :])
self.assertTrue(
err[0] > errthresh,
"Expected stream reconstruction accuracy > %f" % errthresh)
#to examine reconstruction versus original:
examine = False
if examine and tsn == 6:
plot(output["data"][tsn][-1], 'r')
plot(recon[tsn, :], 'b')
show()
def test_reconerror(self):
self.assertEqual(recon_error(np.array([1,1,1]),np.array([1,1,1]))[0],1.0)
rerr = recon_error(np.array([1.,0.5,1.]),np.array([1.,0.9,1.]))
self.assertTrue(rerr[0] < 1)
self.assertTrue(rerr[0] > 0)
def test_reconerror(self):
self.assertEqual(
recon_error(np.array([1, 1, 1]), np.array([1, 1, 1]))[0], 1.0)
rerr = recon_error(np.array([1., 0.5, 1.]), np.array([1., 0.9, 1.]))
self.assertTrue(rerr[0] < 1)
self.assertTrue(rerr[0] > 0)
