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ruff: safe fixes

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This commit is contained in:
Fabian Neumann 2024-05-21 14:55:58 +02:00
parent d19a3bcb64
commit ca451fe9d5
6 changed files with 0 additions and 6 deletions
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1
scripts/build_daily_heat_demand.py
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@ -9,7 +9,6 @@ Build heat demand time series using heating degree day (HDD) approximation.
import atlite import atlite
import geopandas as gpd import geopandas as gpd
import numpy as np import numpy as np
import pandas as pd
import xarray as xr import xarray as xr
from _helpers import get_snapshots, set_scenario_config from _helpers import get_snapshots, set_scenario_config
from dask.distributed import Client, LocalCluster from dask.distributed import Client, LocalCluster

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scripts/build_energy_totals.py
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@ -8,7 +8,6 @@ Build total energy demands per country using JRC IDEES, eurostat, and EEA data.
import logging import logging
import multiprocessing as mp import multiprocessing as mp
import os
from functools import partial from functools import partial
import country_converter as coco import country_converter as coco

1
scripts/build_line_rating.py
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@ -55,7 +55,6 @@ import re
import atlite import atlite
import geopandas as gpd import geopandas as gpd
import numpy as np import numpy as np
import pandas as pd
import pypsa import pypsa
import xarray as xr import xarray as xr
from _helpers import configure_logging, get_snapshots, set_scenario_config from _helpers import configure_logging, get_snapshots, set_scenario_config

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scripts/cluster_network.py
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@ -122,7 +122,6 @@ Exemplary unsolved network clustered to 37 nodes:
""" """
import logging import logging
import os
import warnings import warnings
from functools import reduce from functools import reduce

1
scripts/prepare_perfect_foresight.py
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@ -7,7 +7,6 @@ Concats pypsa networks of single investment periods to one network.
""" """
import logging import logging
import re
import numpy as np import numpy as np
import pandas as pd import pandas as pd

1
scripts/solve_network.py
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@ -31,7 +31,6 @@ import logging
import os import os
import re import re
import sys import sys
from functools import reduce
import numpy as np import numpy as np
import pandas as pd import pandas as pd