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update test
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test/test_cav_trainer.py

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@@ -281,6 +281,7 @@ def pack_data_iters(df):
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cav_trainer.tpcav_score("AC0001:GATA-PROP:GATA", attributions)
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cav_trainer.plot_cavs_similaritiy_heatmap([attributions,]*2, fscore_thresh=0.0, motif_meme_file="data/motif-clustering-v2.1beta_consensus_pwms.test.meme")
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cav_trainer.plot_cavs_similaritiy_heatmap(attributions, fscore_thresh=0.0, motif_meme_file="data/motif-clustering-v2.1beta_consensus_pwms.test.meme")
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input_attrs = tpcav_model.input_attributions(
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pack_data_iters(random_regions_1),

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