message stringlengths 5 481 | model_input stringlengths 47 2.9k | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|
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... | [
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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_... | [
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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):
@@... | [
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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()
+ ... | [
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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, ... | [
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