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modin/core/dataframe/pandas/dataframe/dataframe.py

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@@ -4718,7 +4718,6 @@ def to_pandas(self):
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# Hacky way to coerce the output to the correct type for booleans which might
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# contain NA
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if len(df.columns) and self.has_materialized_dtypes:
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#df = df.astype(self.dtypes)
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for col in self.dtypes.index:
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if df.dtypes[col] != self.dtypes[col] and self.dtypes[col] == np.dtype('bool'):
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df[col] = df[col].replace(1.0, True).replace(0.0, False)

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