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weights.py
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default_weights = {
"l1": {
"Event_ID": 0,
"Main_Event": 1,
"Event_Names": 0,
"Hazards": 1,
# Deaths
"Total_Deaths_Min": 1,
"Total_Deaths_Max": 1,
# Injuries
"Total_Injuries_Max": 1,
"Total_Injuries_Min": 1,
# Buildings Damaged
"Total_Buildings_Damaged_Min": 1,
"Total_Buildings_Damaged_Max": 1,
# Affected
"Total_Affected_Min": 1,
"Total_Affected_Max": 1,
# Homeless
"Total_Homeless_Min": 1,
"Total_Homeless_Max": 1,
# Displaced
"Total_Displaced_Min": 1,
"Total_Displaced_Max": 1,
# Damage
"Total_Damage_Min": 1,
"Total_Damage_Max": 1,
"Total_Damage_Unit": 1,
"Total_Damage_Inflation_Adjusted": 1,
"Total_Damage_Inflation_Adjusted_Year": 1,
# Insured Damage
"Total_Insured_Damage_Min": 1,
"Total_Insured_Damage_Max": 1,
"Total_Insured_Damage_Unit": 1,
"Total_Insured_Damage_Inflation_Adjusted": 1,
"Total_Insured_Damage_Inflation_Adjusted_Year": 1,
# Date
"Start_Date_Day": 1,
"Start_Date_Month": 1,
"Start_Date_Year": 1,
"End_Date_Day": 1,
"End_Date_Month": 1,
"End_Date_Year": 1,
# Area
"Administrative_Areas_Norm": 1, # list
},
"l2_monetary": {
"Event_ID": 0,
# Date
"Start_Date_Day": 1,
"Start_Date_Month": 1,
"Start_Date_Year": 1,
"End_Date_Day": 1,
"End_Date_Month": 1,
"End_Date_Year": 1,
# Area
"Administrative_Areas_Norm": 1, # list
# Impact
"Num_Min": 1,
"Num_Max": 1,
"Num_Unit": 1,
"Num_Inflation_Adjusted": 1,
"Num_Inflation_Adjusted_Year": 1,
},
"l2_numerical": {
"Event_ID": 0,
# Date
"Start_Date_Day": 1,
"Start_Date_Month": 1,
"Start_Date_Year": 1,
"End_Date_Day": 1,
"End_Date_Month": 1,
"End_Date_Year": 1,
# Area
"Administrative_Areas_Norm": 1, # list
# Impact
"Num_Min": 1,
"Num_Max": 1,
},
"l3_monetary": {
"Event_ID": 0,
# Date
"Start_Date_Day": 1,
"Start_Date_Month": 1,
"Start_Date_Year": 1,
"End_Date_Day": 1,
"End_Date_Month": 1,
"End_Date_Year": 1,
# Area
"Administrative_Area_Norm": 1, # str
"Locations_Norm": 1, # list
# Impact
"Num_Min": 1,
"Num_Max": 1,
"Num_Unit": 1,
"Num_Inflation_Adjusted": 1,
"Num_Inflation_Adjusted_Year": 1,
},
"l3_numerical": {
"Event_ID": 0,
# Date
"Start_Date_Day": 1,
"Start_Date_Month": 1,
"Start_Date_Year": 1,
"End_Date_Day": 1,
"End_Date_Month": 1,
"End_Date_Year": 1,
# Area
"Administrative_Area_Norm": 1, # str
"Locations_Norm": 1, # list
# Impact
"Num_Min": 1,
"Num_Max": 1,
},
}
weights = {
"nlp4climate": {
"Event_ID": 1,
"Main_Event": 1,
"Event_Name": 0,
"Total_Deaths_Min": 1,
"Total_Deaths_Max": 1,
"Total_Damage_Min": 1,
"Total_Damage_Max": 1,
"Total_Damage_Units": 1,
"Start_Date_Day": 1,
"Start_Date_Month": 1,
"Start_Date_Year": 1,
"End_Date_Day": 1,
"End_Date_Month": 1,
"End_Date_Year": 1,
"Country_Norm": 1,
},
"Homeless": {
# Homeless
"Event_ID": 0,
"Total_Homeless_Min": 1,
"Total_Homeless_Max": 1,
},
"ESSD_2024_l1": default_weights["l1"], # default weights
"ESSD_2024_l2_numerical": default_weights["l2_numerical"], # default weights
"ESSD_2024_l2_monetary": default_weights["l2_monetary"], # default weights
"ESSD_2024_l3_numerical": default_weights["l3_numerical"], # default weights
"ESSD_2024_l3_monetary": default_weights["l3_monetary"], # default weights
}