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NHL_DFS_Optimizer
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Multichem commited on
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324d7b4
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1 Parent(s): 532d846

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -234,7 +234,7 @@ with tab2:
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  sub_idx = flex_file[(flex_file['Team'] == stack_var1) & (flex_file['Position'] != 'G') & (flex_file['Line'] == line_choice_var1)].index
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  total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == stack_size_var1
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  for flex in flex_file['Team'].unique():
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- sub_idx = flex_file[(flex_file['Team'] == ministack_var1) & (flex_file['Position'] != 'G')].index
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  total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == ministack_size_var1
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  for flex in flex_file['lock'].unique():
@@ -284,7 +284,7 @@ with tab2:
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  sub_idx = flex_file[(flex_file['Team'] == stack_var1) & (flex_file['Position'] != 'G') & (flex_file['Line'] == line_choice_var1)].index
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  total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == stack_size_var1
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  for flex in flex_file['Team'].unique():
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- sub_idx = flex_file[(flex_file['Team'] == ministack_var1) & (flex_file['Position'] != 'G')].index
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  total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == ministack_size_var1
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  for flex in flex_file['lock'].unique():
 
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  sub_idx = flex_file[(flex_file['Team'] == stack_var1) & (flex_file['Position'] != 'G') & (flex_file['Line'] == line_choice_var1)].index
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  total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == stack_size_var1
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  for flex in flex_file['Team'].unique():
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+ sub_idx = flex_file[(flex_file['Team'] == ministack_var1) & (flex_file['Position'] != 'G') & (flex_file['Line'] == miniline_choice_var1)].index
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  total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == ministack_size_var1
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  for flex in flex_file['lock'].unique():
 
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  sub_idx = flex_file[(flex_file['Team'] == stack_var1) & (flex_file['Position'] != 'G') & (flex_file['Line'] == line_choice_var1)].index
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  total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == stack_size_var1
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  for flex in flex_file['Team'].unique():
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+ sub_idx = flex_file[(flex_file['Team'] == ministack_var1) & (flex_file['Position'] != 'G') & (flex_file['Line'] == miniline_choice_var1)].index
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  total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == ministack_size_var1
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  for flex in flex_file['lock'].unique():