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get rid of comments
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1 changed files with 0 additions and 13 deletions
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@ -3,7 +3,6 @@ import os
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from urllib.parse import urlencode
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import pandas as pd
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from difflib import SequenceMatcher
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from tqdm import tqdm
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from utils.logger import setup_logger
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import re
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from typing import Set
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@ -334,22 +333,10 @@ def get_uprn_candidates(
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def get_uprn_with_epc_df(
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user_inputed_address: str,
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epc_df: pd.DataFrame,
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verbose=False,
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):
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"""
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Return uprn (str) using a pre-fetched EPC dataframe.
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This avoids calling the API multiple times for the same postcode.
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Args:
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user_inputed_address: The user's address string
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epc_df: Pre-fetched EPC data for the postcode
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return_address: Whether to return the matched address
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return_EPC: Whether to return the EPC rating
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return_score: Whether to return the lexiscore
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Returns:
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uprn (str), or tuple if return_address/return_EPC/return_score are True
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Returns None if no match found, lexiscore < 0.7, or UPRN is empty
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"""
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if epc_df.empty:
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return None
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