remove snakemake from function
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@ -197,17 +197,17 @@ def get(item, investment_year=None):
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def co2_emissions_year(
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countries, input_eurostat, opts, emissions_scope, report_year, year
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countries, input_eurostat, input_eea, opts, emissions_scope, report_year, year
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):
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"""
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Calculate CO2 emissions in one specific year (e.g. 1990 or 2018).
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"""
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emissions_scope = snakemake.config["energy"]["emissions"]
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eea_co2 = build_eea_co2(snakemake.input.co2, year, emissions_scope)
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eea_co2 = build_eea_co2(input_eea, year, emissions_scope)
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# TODO: read Eurostat data from year > 2014
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# this only affects the estimation of CO2 emissions for BA, RS, AL, ME, MK
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report_year = snakemake.config["energy"]["eurostat_report_year"]
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if year > 2014:
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eurostat_co2 = build_eurostat_co2(
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input_eurostat, countries, report_year, year=2014
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@ -228,7 +228,7 @@ def co2_emissions_year(
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# TODO: move to own rule with sector-opts wildcard?
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def build_carbon_budget(o, input_eurostat, fn, emissions_scope, report_year):
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def build_carbon_budget(o, input_eurostat, input_eea, fn, emissions_scope, report_year):
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"""
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Distribute carbon budget following beta or exponential transition path.
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"""
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@ -246,12 +246,12 @@ def build_carbon_budget(o, input_eurostat, fn, emissions_scope, report_year):
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countries = snakemake.config["countries"]
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e_1990 = co2_emissions_year(
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countries, input_eurostat, opts, emissions_scope, report_year, year=1990
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countries, input_eurostat, input_eea, opts, emissions_scope, report_year, year=1990
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)
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# emissions at the beginning of the path (last year available 2018)
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e_0 = co2_emissions_year(
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countries, input_eurostat, opts, emissions_scope, report_year, year=2018
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countries, input_eurostat, input_eea, opts, emissions_scope, report_year, year=2018
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)
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planning_horizons = snakemake.config["scenario"]["planning_horizons"]
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@ -3369,7 +3369,7 @@ if __name__ == "__main__":
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emissions_scope = snakemake.config["energy"]["emissions"]
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report_year = snakemake.config["energy"]["eurostat_report_year"]
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build_carbon_budget(
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o, snakemake.input.eurostat, fn, emissions_scope, report_year
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o, snakemake.input.eurostat, snakemake.input.co2, fn, emissions_scope, report_year
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)
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co2_cap = pd.read_csv(fn, index_col=0).squeeze()
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limit = co2_cap.loc[investment_year]
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