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Multichem commited on
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2f2650a
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1 Parent(s): c636a6e

Update app.py

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Files changed (1) hide show
  1. app.py +0 -4
app.py CHANGED
@@ -263,7 +263,6 @@ def get_correlated_portfolio_for_sim(Total_Sample_Size, sharp_split, field_growt
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  RandomPortfolio['Gp'] = RandomPortfolio['G'].map(maps_dict['Projection_map']).astype(np.float16)
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  RandomPortfolio['Fp'] = RandomPortfolio['F'].map(maps_dict['Projection_map']).astype(np.float16)
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  RandomPortfolio['UTILp'] = RandomPortfolio['UTIL'].map(maps_dict['Projection_map']).astype(np.float16)
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- RandomPortfolio['DSTp'] = RandomPortfolio['DST'].map(maps_dict['Projection_map']).astype(np.float16)
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  RandomPortfolio['PGo'] = RandomPortfolio['PG'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['SGo'] = RandomPortfolio['SG'].map(maps_dict['Own_map']).astype(np.float16)
@@ -273,7 +272,6 @@ def get_correlated_portfolio_for_sim(Total_Sample_Size, sharp_split, field_growt
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  RandomPortfolio['Go'] = RandomPortfolio['G'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['Fo'] = RandomPortfolio['F'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['UTILo'] = RandomPortfolio['UTIL'].map(maps_dict['Own_map']).astype(np.float16)
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- RandomPortfolio['DSTo'] = RandomPortfolio['DST'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortArray = RandomPortfolio.to_numpy()
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@@ -365,7 +363,6 @@ def get_uncorrelated_portfolio_for_sim(Total_Sample_Size, sharp_split, field_gro
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  RandomPortfolio['Gp'] = RandomPortfolio['G'].map(maps_dict['Projection_map']).astype(np.float16)
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  RandomPortfolio['Fp'] = RandomPortfolio['F'].map(maps_dict['Projection_map']).astype(np.float16)
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  RandomPortfolio['UTILp'] = RandomPortfolio['UTIL'].map(maps_dict['Projection_map']).astype(np.float16)
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- RandomPortfolio['DSTp'] = RandomPortfolio['DST'].map(maps_dict['Projection_map']).astype(np.float16)
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  RandomPortfolio['PGo'] = RandomPortfolio['PG'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['SGo'] = RandomPortfolio['SG'].map(maps_dict['Own_map']).astype(np.float16)
@@ -375,7 +372,6 @@ def get_uncorrelated_portfolio_for_sim(Total_Sample_Size, sharp_split, field_gro
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  RandomPortfolio['Go'] = RandomPortfolio['G'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['Fo'] = RandomPortfolio['F'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['UTILo'] = RandomPortfolio['UTIL'].map(maps_dict['Own_map']).astype(np.float16)
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- RandomPortfolio['DSTo'] = RandomPortfolio['DST'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortArray = RandomPortfolio.to_numpy()
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  RandomPortfolio['Gp'] = RandomPortfolio['G'].map(maps_dict['Projection_map']).astype(np.float16)
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  RandomPortfolio['Fp'] = RandomPortfolio['F'].map(maps_dict['Projection_map']).astype(np.float16)
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  RandomPortfolio['UTILp'] = RandomPortfolio['UTIL'].map(maps_dict['Projection_map']).astype(np.float16)
 
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  RandomPortfolio['PGo'] = RandomPortfolio['PG'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['SGo'] = RandomPortfolio['SG'].map(maps_dict['Own_map']).astype(np.float16)
 
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  RandomPortfolio['Go'] = RandomPortfolio['G'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['Fo'] = RandomPortfolio['F'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['UTILo'] = RandomPortfolio['UTIL'].map(maps_dict['Own_map']).astype(np.float16)
 
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  RandomPortArray = RandomPortfolio.to_numpy()
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  RandomPortfolio['Gp'] = RandomPortfolio['G'].map(maps_dict['Projection_map']).astype(np.float16)
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  RandomPortfolio['Fp'] = RandomPortfolio['F'].map(maps_dict['Projection_map']).astype(np.float16)
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  RandomPortfolio['UTILp'] = RandomPortfolio['UTIL'].map(maps_dict['Projection_map']).astype(np.float16)
 
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  RandomPortfolio['PGo'] = RandomPortfolio['PG'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['SGo'] = RandomPortfolio['SG'].map(maps_dict['Own_map']).astype(np.float16)
 
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  RandomPortfolio['Go'] = RandomPortfolio['G'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['Fo'] = RandomPortfolio['F'].map(maps_dict['Own_map']).astype(np.float16)
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  RandomPortfolio['UTILo'] = RandomPortfolio['UTIL'].map(maps_dict['Own_map']).astype(np.float16)
 
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  RandomPortArray = RandomPortfolio.to_numpy()
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