remove /bundle
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@ -282,7 +282,7 @@ rule build_energy_totals:
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co2="data/bundle/eea/UNFCCC_v23.csv",
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swiss="data/switzerland-new_format-all_years.csv",
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swiss_transport="data/gr-e-11.03.02.01.01-cc.csv",
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idees="data/bundle/jrc-idees-2021",
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idees="data/jrc-idees-2021",
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district_heat_share="data/district_heat_share.csv",
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eurostat="data/eurostat/Balances-April2023",
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eurostat_households="data/eurostat/eurostat-household_energy_balances-february_2024.csv",
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@ -453,7 +453,7 @@ rule build_industry_sector_ratios:
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ammonia=config_provider("sector", "ammonia", default=False),
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input:
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ammonia_production=resources("ammonia_production.csv"),
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idees="data/bundle/jrc-idees-2021",
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idees="data/jrc-idees-2021",
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output:
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industry_sector_ratios=resources("industry_sector_ratios.csv"),
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threads: 1
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@ -503,7 +503,7 @@ rule build_industrial_production_per_country:
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countries=config_provider("countries"),
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input:
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ammonia_production=resources("ammonia_production.csv"),
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jrc="data/bundle/jrc-idees-2021",
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jrc="data/jrc-idees-2021",
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eurostat="data/eurostat/Balances-April2023",
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output:
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industrial_production_per_country=resources(
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@ -650,7 +650,7 @@ rule build_industrial_energy_demand_per_country_today:
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countries=config_provider("countries"),
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industry=config_provider("industry"),
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input:
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jrc="data/bundle/jrc-idees-2021",
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jrc="data/jrc-idees-2021",
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industrial_production_per_country=resources(
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"industrial_production_per_country.csv"
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),
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@ -25,7 +25,7 @@ Inputs
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- `data/bundle/eea_UNFCCC_v23.csv`: CO2 emissions data from EEA.
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- `data/switzerland-new_format-all_years.csv`: Swiss energy data.
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- `data/gr-e-11.03.02.01.01-cc.csv`: Swiss transport data
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- `data/bundle/jrc-idees`: JRC IDEES data.
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- `data/jrc-idees`: JRC IDEES data.
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- `data/district_heat_share.csv`: District heating shares.
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- `data/eurostat/Balances-April2023`: Eurostat energy balances.
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- `data/eurostat/eurostat-household_energy_balances-february_2024.csv`: Eurostat household energy balances.
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@ -496,8 +496,6 @@ def idees_per_country(ct: str, base_dir: str) -> pd.DataFrame:
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assert df.index[7] == "International - Extra-EEAwUK"
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ct_totals["total international aviation passenger"] = df.iloc[[6, 7]].sum()
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# TODO freight changed from "Domestic and International - Intra-EU" -> split
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# domestic and international (intra-EU and outside EU)
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assert df.index[9] == "Domestic"
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ct_totals["total domestic aviation freight"] = df.iloc[9]
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@ -8,7 +8,7 @@ Build industrial energy demand per country.
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Inputs
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-------
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- ``data/bundle/jrc-idees-2021``
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- ``data/jrc-idees-2021``
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- ``industrial_production_per_country.csv``
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Outputs
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