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lines changed Original file line number Diff line number Diff line change @@ -80,13 +80,13 @@ def test_input_not_overwritten():
8080def test_extract_several_consensus ():
8181 # This test is to further ensure that the function `gpu_aamp_ostinato`
8282 # does not tamper with the original data.
83- Ts = [np .random .rand (n ) for n in [256 , 512 , 1024 ]]
83+ Ts = [np .random .rand (n ) for n in [64 , 128 ]]
8484 Ts_ref = [T .copy () for T in Ts ]
8585 Ts_comp = [T .copy () for T in Ts ]
8686
8787 m = 20
8888
89- k = 5 # Get the first `k` consensus motifs
89+ k = 2 # Get the first `k` consensus motifs
9090 for _ in range (k ):
9191 # Find consensus motif and its NN in each time series in Ts_comp
9292 # Remove them from Ts_comp as well as Ts_ref, and assert that the
Original file line number Diff line number Diff line change @@ -141,13 +141,13 @@ def test_input_not_overwritten():
141141def test_extract_several_consensus ():
142142 # This test is to further ensure that the function `gpu_ostinato`
143143 # does not tamper with the original data.
144- Ts = [np .random .rand (n ) for n in [256 , 512 , 1024 ]]
144+ Ts = [np .random .rand (n ) for n in [64 , 128 ]]
145145 Ts_ref = [T .copy () for T in Ts ]
146146 Ts_comp = [T .copy () for T in Ts ]
147147
148148 m = 20
149149
150- k = 5 # Get the first `k` consensus motifs
150+ k = 2 # Get the first `k` consensus motifs
151151 for _ in range (k ):
152152 # Find consensus motif and its NN in each time series in Ts_comp
153153 # Remove them from Ts_comp as well as Ts_ref, and assert that the
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