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georgia-tech-db / eva / b7e09b55-9333-4c49-b273-87a69e5c463f

05 Sep 2023 11:42PM UTC coverage: 74.515% (-19.0%) from 93.55%
b7e09b55-9333-4c49-b273-87a69e5c463f

Pull #1050

circle-ci

jiashenC
fix: add missing needed file (#1046)
Pull Request #1050: feat: sync master staging

768 of 768 new or added lines in 96 files covered. (100.0%)

8757 of 11752 relevant lines covered (74.51%)

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0.0
/evadb/functions/ndarray/fuzzy_join.py
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# coding=utf-8
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# Copyright 2018-2023 EvaDB
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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#     http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import pandas as pd
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from thefuzz import fuzz
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from evadb.functions.abstract.abstract_function import AbstractFunction
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class FuzzDistance(AbstractFunction):
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    def setup(self):
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        pass
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    @property
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    def name(self):
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        return "FuzzDistance"
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    def forward(self, df: pd.DataFrame) -> pd.DataFrame:
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        """
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        Find the distance between two dataframes using <> distance metric.
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        Returns:
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            ret (pd.DataFrame): The cropped frame.
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        """
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        ret = pd.DataFrame()
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        ret["distance"] = df.apply(
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            lambda row: fuzz.ratio(str(row[0]), str(row[1])), axis=1
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        )
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        return ret
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