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type_infer/rule_based/core.py

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@@ -46,7 +46,6 @@ def infer(self, data: pd.DataFrame) -> TypeInformation:
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log.info(f'Using {pool_size} processes to deduct types.')
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pool = mp.Pool(processes=pool_size)
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# column-wise parallelization # TODO: evaluate switching to row-wise split instead
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# TODO: this would be the call to the inference engine -> column in, type out
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answer_arr = pool.starmap(self.get_column_data_type, [
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(sample_df[x].dropna(), data[x], x, self.config['pct_invalid']) for x in sample_df.columns.values
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])

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