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Fix resetting warning filters after silencing RDT warning about refit #1619

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merged 3 commits into from
Oct 5, 2023
Merged

Fix resetting warning filters after silencing RDT warning about refit #1619

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c06a273
use catch_warnings to filter temporarily
rwedge Oct 3, 2023
3d68316
add test and lint
rwedge Oct 3, 2023
e63e07c
ignore rdt.hyper_transformer instead of specific rdt message
rwedge Oct 5, 2023
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6 changes: 3 additions & 3 deletions sdv/data_processing/data_processor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -537,9 +537,9 @@ def update_transformers(self, column_name_to_transformer):
"'RegexGenerator' instead."
)

warnings.filterwarnings('ignore', module='rdt')
self._hyper_transformer.update_transformers(column_name_to_transformer)
warnings.resetwarnings()
with warnings.catch_warnings():
warnings.filterwarnings('ignore', module='rdt.hyper_transformer')
self._hyper_transformer.update_transformers(column_name_to_transformer)

def _fit_hyper_transformer(self, data):
"""Create and return a new ``rdt.HyperTransformer`` instance.
Expand Down
16 changes: 15 additions & 1 deletion tests/unit/data_processing/test_data_processor.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
import re
import warnings
from unittest.mock import Mock, call, patch

import numpy as np
Expand All @@ -7,7 +8,8 @@
from rdt.errors import ConfigNotSetError
from rdt.errors import NotFittedError as RDTNotFittedError
from rdt.transformers import (
AnonymizedFaker, FloatFormatter, IDGenerator, UniformEncoder, UnixTimestampEncoder)
AnonymizedFaker, FloatFormatter, GaussianNormalizer, IDGenerator, UniformEncoder,
UnixTimestampEncoder)

from sdv.constraints.errors import MissingConstraintColumnError
from sdv.constraints.tabular import Positive, ScalarRange
Expand Down Expand Up @@ -1199,6 +1201,18 @@ def test_update_transformers_not_fitted(self):
with pytest.raises(NotFittedError, match=error_msg):
dp.update_transformers({'column': None})

def test_update_transformers_ignores_rdt_refit_warning(self):
"""Test silencing hypertransformer refit warning (replaced by SDV warning elsewhere)"""
metadata = SingleTableMetadata()
metadata.add_column('col1', sdtype='numerical')
metadata.add_column('col2', sdtype='numerical')

dp = DataProcessor(metadata)
dp.fit(pd.DataFrame({'col1': [1, 2], 'col2': [1, 2]}))
with warnings.catch_warnings():
warnings.simplefilter('error')
dp.update_transformers({'col1': GaussianNormalizer()})

def test_update_transformers_for_key(self):
"""Test when ``transformer`` is not ``AnonymizedFaker`` or ``RegexGenerator`` for keys."""
# Setup
Expand Down