def test_fast_isin():
Y = np.random.randint(0, 10000, size=(100, ))
X = np.arange(10000)
Z = fast_isin(X, Y)
D = np.unique(Y)
D.sort()
T1 = (X[Z] == D).all()
X = np.array(range(10000) + range(10000))
Z = fast_isin(X, Y)
T2 = (X[Z] == np.append(D, D.copy())).all()
X = np.random.randint(0, 100, size=(40, ))
X.sort()
Y = np.random.randint(0, 100, size=(60, ))
Y.sort()
XinY = np.array([ind for ind in range(len(X)) if X[ind] in Y])
YinX = np.array([ind for ind in range(len(Y)) if Y[ind] in X])
T3 = (fast_isin(X, Y).nonzero()[0] == XinY).all()
T4 = (fast_isin(Y, X).nonzero()[0] == YinX).all()
assert T1 & T2 & T3 & T4
def test_fast_isin():
Y = np.random.randint(0, 10000, size=(100, ))
X = np.arange(10000)
Z = fast_isin(X, Y)
D = np.unique(Y)
D.sort()
T1 = (X[Z] == D).all()
X = np.array(range(10000) + range(10000))
Z = fast_isin(X, Y)
T2 = (X[Z] == np.append(D, D.copy())).all()
X = np.random.randint(0, 100, size = (40, ))
X.sort()
Y = np.random.randint(0, 100, size = (60, ))
Y.sort()
XinY = np.array([ind for ind in range(len(X)) if X[ind] in Y])
YinX = np.array([ind for ind in range(len(Y)) if Y[ind] in X])
T3 = (fast_isin(X, Y).nonzero()[0] == XinY).all()
T4 = (fast_isin(Y, X).nonzero()[0] == YinX).all()
assert T1 & T2 & T3 & T4