def shortToyTwo(ds, newpath="/rg"):
dat = ds.getData()[:,0]
fs = ds.fs()
start = ds.start()
h = {'SampleType':'timeseries', 'SamplesPerSecond':fs, 'StartTime':start}
k2 = array([0,0,0,0,-1,1,-1,1,0,0,0,0])
k1 = array([-1,1,-1,1,0,0,0,0,-1,1,-1,1])
g = cal._applyFilterWithTR(dat, k1)
g = shift(g, 6)
g = g - g.min()
g = g/g.max()
g2 = -1*sc.match(dat, k2)
g2 = g2 - g2.min()
g2 = g2/g2.max()
g = g + 3*g2
ds.createSubData('/k', column_stack([k1, k2]), h, delete=True)
ds.createSubData(newpath, g, h, delete=True)
def compoundToy(ds, klen = 200, newpath="/rg"):
dat = ds.getData()[:,0]
fs = ds.fs()
start = ds.start()
h = {'SampleType':'timeseries', 'SamplesPerSecond':fs, 'StartTime':start}
x=arange(klen)/fs
k2=sin( 2*pi*100*x)
k1=sin( 2*pi*400*x)
g = cal._applyFilterWithTR(dat, k1)
g = shift(g, int(klen/2))
g = g - g.min()
g = g/g.max()
g2 = -1*sc.match(dat, k2)
g2 = g2 - g2.min()
g2 = g2/g2.max()
g = g + g2
ds.createSubData('/k', column_stack([k1, k2]), h, delete=True)
ds.createSubData(newpath, g, h, delete=True)