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Investigate Github Workflow RunTime #1004

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Jul 14, 2024
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Investigate Github Workflow RunTime #1004

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NimaSarajpoor Jul 12, 2024
a0aee8e
Reduce computational load of coverage test of ostinato gpu functions
NimaSarajpoor Jul 13, 2024
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4 changes: 2 additions & 2 deletions tests/test_gpu_aamp_ostinato.py
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Original file line number Diff line number Diff line change
Expand Up @@ -80,13 +80,13 @@ def test_input_not_overwritten():
def test_extract_several_consensus():
# This test is to further ensure that the function `gpu_aamp_ostinato`
# does not tamper with the original data.
Ts = [np.random.rand(n) for n in [256, 512, 1024]]
Ts = [np.random.rand(n) for n in [64, 128]]
Ts_ref = [T.copy() for T in Ts]
Ts_comp = [T.copy() for T in Ts]

m = 20

k = 5 # Get the first `k` consensus motifs
k = 2 # Get the first `k` consensus motifs
for _ in range(k):
# Find consensus motif and its NN in each time series in Ts_comp
# Remove them from Ts_comp as well as Ts_ref, and assert that the
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4 changes: 2 additions & 2 deletions tests/test_gpu_ostinato.py
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Original file line number Diff line number Diff line change
Expand Up @@ -141,13 +141,13 @@ def test_input_not_overwritten():
def test_extract_several_consensus():
# This test is to further ensure that the function `gpu_ostinato`
# does not tamper with the original data.
Ts = [np.random.rand(n) for n in [256, 512, 1024]]
Ts = [np.random.rand(n) for n in [64, 128]]
Ts_ref = [T.copy() for T in Ts]
Ts_comp = [T.copy() for T in Ts]

m = 20

k = 5 # Get the first `k` consensus motifs
k = 2 # Get the first `k` consensus motifs
for _ in range(k):
# Find consensus motif and its NN in each time series in Ts_comp
# Remove them from Ts_comp as well as Ts_ref, and assert that the
Expand Down