adjust import order

DeepRank · Aug 26, 2019 · ef75ffa · ef75ffa
1 parent 98f5c18
commit ef75ffa
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Showing 4 changed files with 5 additions and 7 deletions.
diff --git a/deeprank/features/PSSM_IC.py b/deeprank/features/PSSM_IC.py
@@ -17,8 +17,6 @@ class PSSM_IC(FullPSSM):
 #
 ##########################################################################
 
-def __compute_feature__(pdb_data, featgrp, featgrp_raw):
-
 def __compute_feature__(pdb_data, featgrp, featgrp_raw):
 
     func(pdb_data, featgrp, featgrp_raw, out_type='pssmic')

diff --git a/deeprank/features/__init__.py b/deeprank/features/__init__.py
@@ -1,6 +1,6 @@
-from .AtomicFeature import AtomicFeature
-from .BSA import BSA
 from .FeatureClass import FeatureClass
+from .BSA import BSA
+from .AtomicFeature import AtomicFeature
 from .FullPSSM import FullPSSM
 from .NaivePSSM import NaivePSSM
 from .PSSM_IC import PSSM_IC

diff --git a/deeprank/learn/__init__.py b/deeprank/learn/__init__.py
@@ -1,5 +1,5 @@
 # deep learning
-from .DataSet import DataSet
-from .metaqnn import MetaQNN
 from .modelGenerator import NetworkGenerator
+from .DataSet import DataSet
 from .NeuralNet import NeuralNet
+from .metaqnn import MetaQNN
diff --git a/deeprank/learn/metaqnn.py b/deeprank/learn/metaqnn.py
@@ -4,7 +4,7 @@
 
 import deeprank.learn.modelGenerator
 import torch.optim as optim
-from deeprank.learn import NetworkGenerator, NeuralNet
+from deeprank.learn import NetworkGenerator, NeuralNet, DataSet
 
 
 class saved_model(object):