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[JIT Variant]: Reduce iterator stack on base signals #1049

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Feb 22, 2023
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8 changes: 6 additions & 2 deletions src/server/endpoints/covidcast_utils/model.py
Original file line number Diff line number Diff line change
Expand Up @@ -543,9 +543,13 @@ def _generate_transformed_rows(
for key, source_signal_geo_rows in groupby(parsed_rows, group_keyfunc):
base_source_name, base_signal_name, _, _ = key
# Extract the list of derived signals; if a signal is not in the dictionary, then use the identity map.
derived_signal_transform_map: SourceSignalPair = transform_dict.get(SourceSignalPair(base_source_name, [base_signal_name]), SourceSignalPair(base_source_name, [base_signal_name]))
derived_signals: SourceSignalPair = transform_dict.get(SourceSignalPair(base_source_name, [base_signal_name]), SourceSignalPair(base_source_name, [base_signal_name]))
# Speed up base signals by not transforming them.
if derived_signals.signal == [base_signal_name]:
yield from source_signal_geo_rows
continue
# Create a list of source-signal pairs along with the transformation required for the signal.
signal_names_and_transforms: List[Tuple[Tuple[str, str], Callable]] = [(derived_signal, _get_base_signal_transform((base_source_name, derived_signal))) for derived_signal in derived_signal_transform_map.signal]
signal_names_and_transforms: List[Tuple[Tuple[str, str], Callable]] = [(derived_signal, _get_base_signal_transform((base_source_name, derived_signal))) for derived_signal in derived_signals.signal]
# Put the current time series on a contiguous time index.
source_signal_geo_rows = _reindex_iterable(source_signal_geo_rows, fill_value=transform_args.get("pad_fill_value"))
# Create copies of the iterable, with smart memory usage.
Expand Down