updating pylint

This commit is contained in:
lucasmbrown-usds 2022-09-28 13:35:52 -04:00
commit 5ff988ab29
25 changed files with 154 additions and 101 deletions

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@ -11,9 +11,7 @@ from data_pipeline.etl.sources.dot_travel_composite.etl import (
TravelCompositeETL,
)
from data_pipeline.etl.sources.eamlis.etl import AbandonedMineETL
from data_pipeline.etl.sources.fsf_flood_risk.etl import (
FloodRiskETL,
)
from data_pipeline.etl.sources.fsf_flood_risk.etl import FloodRiskETL
from data_pipeline.etl.sources.fsf_wildfire_risk.etl import WildfireRiskETL
from data_pipeline.etl.sources.national_risk_index.etl import (
NationalRiskIndexETL,

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@ -9,9 +9,7 @@ from data_pipeline.content.schemas.download_schemas import CSVConfig
from data_pipeline.etl.base import ExtractTransformLoad
from data_pipeline.etl.score import constants
from data_pipeline.etl.score.etl_utils import check_score_data_source
from data_pipeline.etl.sources.census.etl_utils import (
check_census_data_source,
)
from data_pipeline.etl.sources.census.etl_utils import check_census_data_source
from data_pipeline.score import field_names
from data_pipeline.utils import get_module_logger
from data_pipeline.utils import load_dict_from_yaml_object_fields

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@ -9,9 +9,7 @@ from data_pipeline.content.schemas.download_schemas import ExcelConfig
from data_pipeline.etl.base import ExtractTransformLoad
from data_pipeline.etl.score.etl_utils import create_codebook
from data_pipeline.etl.score.etl_utils import floor_series
from data_pipeline.etl.sources.census.etl_utils import (
check_census_data_source,
)
from data_pipeline.etl.sources.census.etl_utils import check_census_data_source
from data_pipeline.score import field_names
from data_pipeline.utils import column_list_from_yaml_object_fields
from data_pipeline.utils import get_module_logger

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@ -96,7 +96,7 @@ def floor_series(series: pd.Series, number_of_decimals: int) -> pd.Series:
if series.isin(unacceptable_values).any():
series.replace(mapping, regex=False, inplace=True)
multiplication_factor = 10 ** number_of_decimals
multiplication_factor = 10**number_of_decimals
# In order to safely cast NaNs
# First coerce series to float type: series.astype(float)

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@ -5,9 +5,7 @@ from pathlib import Path
import pandas.api.types as ptypes
import pandas.testing as pdt
from data_pipeline.content.schemas.download_schemas import (
CSVConfig,
)
from data_pipeline.content.schemas.download_schemas import CSVConfig
from data_pipeline.etl.score import constants
from data_pipeline.utils import load_yaml_dict_from_file