message
stringlengths 5
481
| model_input
stringlengths 47
2.9k
| input_ids
sequence | attention_mask
sequence | labels
sequence |
|---|---|---|---|---|
Feature: update cli args with kwargs
This lets a user run main() in a stand-alone script, e.g. with a debugger | MODIFY
powergenome/run_powergenome_multiple_outputs_cli.py
powergenome/run_powergenome_multiple_outputs_cli.py
@@ -134,9 +134,10 @@ def parse_command_line(argv):
return arguments
-def main():
+def main(**kwargs):
args = parse_command_line(sys.argv)
+ args.__dict__.update(kwargs)
cwd = Path.cwd()
out_folder = cwd / args.results_folder
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Fix: properly align indices when filling op date | MODIFY
powergenome/generators.py
powergenome/generators.py
@@ -968,20 +968,24 @@ def update_operating_date_860m(
The original "df" dataframe with missing operating dates filled using the operating
year from 860m.
"""
- no_op_date = df.loc[df["operating_date"].isna(), :]
+ _df = df.set_index(["plant_id_eia", "generator_id"])
+ _operating_860m = operating_860m.set_index(["plant_id_eia", "generator_id"])
+ no_op_date = _df.loc[_df["operating_date"].isna(), :]
no_op_date = pd.merge(
no_op_date,
- operating_860m[["plant_id_eia", "generator_id", "operating_year"]],
- on=["plant_id_eia", "generator_id"],
+ _operating_860m["operating_year"],
+ left_index=True,
+ right_index=True,
how="left",
+ validate="1:1",
)
- df.loc[no_op_date.index, "operating_date"] = pd.to_datetime(
- no_op_date["operating_year"],
+ _df.loc[no_op_date.index, "operating_date"] = pd.to_datetime(
+ no_op_date.loc[no_op_date["operating_year"].notna(), "operating_year"],
format="%Y",
)
- return df.reset_index()
+ return _df.reset_index()
def load_923_gen_fuel_data(pudl_engine, pudl_out, model_region_map, data_years=[2017]):
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Reset indices when removing gens | MODIFY
powergenome/generators.py
powergenome/generators.py
@@ -880,7 +880,7 @@ def remove_canceled_860m(df, canceled_860m):
if not canceled.empty:
assert len(df) == len(canceled) + len(not_canceled_df)
- return not_canceled_df
+ return not_canceled_df.reset_index(drop=True)
def remove_retired_860m(df, retired_860m):
@@ -911,7 +911,7 @@ def remove_retired_860m(df, retired_860m):
if not retired.empty:
assert len(df) == len(retired) + len(not_retired_df)
- return not_retired_df
+ return not_retired_df.reset_index(drop=True)
def remove_future_retirements_860m(df, retired_860m):
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Bug fix: make copy of input df to avoid modifying
In some cases the operating_860m df was being modified and would cause an
error on subsequent calculations. | MODIFY
powergenome/generators.py
powergenome/generators.py
@@ -1687,17 +1687,18 @@ def import_new_generators(
pd.DataFrame
Set of operating generators that were not already in the gens_860 dataframe
"""
- operating_860m["generator_id"] = operating_860m["generator_id"].apply(
+ _operating_860m = operating_860m.copy()
+ _operating_860m["generator_id"] = _operating_860m["generator_id"].apply(
remove_leading_zero
)
gens_860_id = list(zip(gens_860["plant_id_eia"], gens_860["generator_id"]))
operating_860m_id = zip(
- operating_860m["plant_id_eia"], operating_860m["generator_id"]
+ _operating_860m["plant_id_eia"], _operating_860m["generator_id"]
)
new_mask = [g not in gens_860_id for g in operating_860m_id]
new_operating = label_gen_region(
- operating_860m.loc[new_mask, :], settings, model_regions_gdf
+ _operating_860m.loc[new_mask, :], settings, model_regions_gdf
)
new_operating.loc[:, "heat_rate_mmbtu_mwh"] = new_operating.loc[
:, "technology_description"
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Bug fix: unpack kwargs for function using lru_cache | MODIFY
powergenome/price_adjustment.py
powergenome/price_adjustment.py
@@ -207,7 +207,7 @@ def inflation_price_adjustment(
if cpi_data["year"].max() < max(target_year, base_year):
logger.info("Updating CPI data")
kwargs.update({"end_year": target_year})
- cpi_data = load_cpi_data(reload_data=True, data_path=data_path, kwargs=kwargs)
+ cpi_data = load_cpi_data(reload_data=True, data_path=data_path, **kwargs)
if cpi_data["year"].max() < target_year:
raise ValueError(
f"CPI data are only available through {cpi_data['year'].max()}. Your target year is "
@@ -216,7 +216,7 @@ def inflation_price_adjustment(
if cpi_data["year"].min() > base_year:
logger.info("Updating CPI data")
kwargs.update({"start_year": base_year})
- cpi_data = load_cpi_data(reload_data=True, data_path=data_path, kwargs=kwargs)
+ cpi_data = load_cpi_data(reload_data=True, data_path=data_path, **kwargs)
if cpi_data["year"].min() > base_year:
raise ValueError(
f"CPI data only start in year {cpi_data['year'].min()}. Your base year is "
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