resolve linting issues

tkchafin · May 9, 2024 · 3fd3378 · 3fd3378
1 parent 7404029
commit 3fd3378
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Showing 3 changed files with 5 additions and 5 deletions.
diff --git a/scripts/runResistnet.py b/scripts/runResistnet.py
@@ -1,6 +1,5 @@
 #!/usr/bin/env python3
 import os
-import sys
 import random
 from datetime import datetime
 

diff --git a/src/resistnet/hall_of_fame.py b/src/resistnet/hall_of_fame.py
@@ -80,7 +80,6 @@ def check_population(self, pop):
             return
 
         popDF = popDF.sort_values("fitness", ascending=False)
-        #popDF = popDF.drop_duplicates(keep="first", ignore_index=True)
         popDF = self.drop_active_duplicates(popDF, self.variables)
         popDF = popDF.reset_index(drop=True)
         space = self.max_size - self.data.shape[0]

diff --git a/src/resistnet/model_optimisation.py b/src/resistnet/model_optimisation.py
@@ -501,7 +501,7 @@ def model_average(self, out="", plot=True):
                 oname = f"{out}.Model-Best"
                 self.resistance_network.output_and_plot_model(
                     oname, matrix_r, edge_r
-                ) 
+                )
 
             if self.report_all:
                 oname = f"{out}.Model-{model_num}"
@@ -524,8 +524,10 @@ def parse_fixed_params(self, fixed_params):
                     best_params = dict()
                     for var in df["variable"].unique():
                         var_df = df[df['variable'] == var]
-                        best = var_df.loc[var_df['fitness'] == var_df['fitness'].min()]
-                        best = best.sort_values(by=['shape', 'transform']).iloc[0]
+                        best = var_df.loc[
+                            var_df['fitness'] == var_df['fitness'].min()]
+                        best = best.sort_values(
+                            by=['shape', 'transform']).iloc[0]
                         best_params[var] = {
                             'transform': best['transform'],
                             'shape': best['shape']