@@ -59,10 +59,10 @@ def test_start_and_end():
5959 tendency = PiecewiseLinearTendency (
6060 user_time = np .array ([1 , 2 , 3 ]), user_value = np .array ([2 , 4 , 0 ])
6161 )
62- assert tendency .get_start_value () == 2
63- assert tendency .get_end_value () == 0
64- assert tendency .get_derivative_start () == approx (2 )
65- assert tendency .get_derivative_end () == approx (- 4 )
62+ assert tendency .start_value == 2
63+ assert tendency .end_value == 0
64+ assert tendency .start_derivative == approx (2 )
65+ assert tendency .end_derivative == approx (- 4 )
6666
6767
6868def test_generate ():
@@ -72,7 +72,7 @@ def test_generate():
7272 tendency = PiecewiseLinearTendency (
7373 user_time = np .array ([1 , 2 , 3 ]), user_value = np .array ([2 , 4 , 6 ])
7474 )
75- time , values = tendency .generate ()
75+ time , values = tendency .get_value ()
7676 assert np .all (time == [1 , 2 , 3 ])
7777 assert np .all (values == [2 , 4 , 6 ])
7878
@@ -84,12 +84,12 @@ def test_generate_interpolate():
8484 tendency = PiecewiseLinearTendency (
8585 user_time = np .array ([1 , 2 , 3 ]), user_value = np .array ([2 , 4 , 8 ])
8686 )
87- time , values = tendency .generate (time = [1.0 , 1.5 , 2.0 , 2.5 , 3.0 ])
87+ time , values = tendency .get_value (time = [1.0 , 1.5 , 2.0 , 2.5 , 3.0 ])
8888 assert np .all (time == [1.0 , 1.5 , 2.0 , 2.5 , 3.0 ])
8989 assert np .allclose (values , [2.0 , 3.0 , 4.0 , 6.0 , 8.0 ])
9090
9191 with pytest .raises (ValueError ):
92- time , values = tendency .generate (time = [0.5 , 1.5 , 2.0 , 2.5 , 3.0 ])
92+ time , values = tendency .get_value (time = [0.5 , 1.5 , 2.0 , 2.5 , 3.0 ])
9393
9494 with pytest .raises (ValueError ):
95- time , values = tendency .generate (time = [1.0 , 1.5 , 2.0 , 2.5 , 3.5 ])
95+ time , values = tendency .get_value (time = [1.0 , 1.5 , 2.0 , 2.5 , 3.5 ])
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