fix: add missing normalise_text function to resolve ImportError and CI failurefix: add missing normalise_text function to fix ImportErrorfix: add m…

src/harmony/parsing/util/__init__.py

@@ -1,46 +1,36 @@
 """
 MIT License
-
 Copyright (c) 2023 Ulster University (https://www.ulster.ac.uk).
 Project: Harmony (https://harmonydata.ac.uk)
 Maintainer: Thomas Wood (https://fastdatascience.com)
-
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
 in the Software without restriction, including without limitation the rights
 to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 copies of the Software, and to permit persons to whom the Software is
 furnished to do so, subject to the following conditions:
-
 The above copyright notice and this permission notice shall be included in all
 copies or substantial portions of the Software.
-
 THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 SOFTWARE.
-
 """
-
 from typing import List, Optional
 
-
 def strip_prefixes(question: str, prefixes: Optional[List[str]] = None) -> str:
     """
     Strips specified prefixes from a question string if they are present.
-
     Args:
         question (str): The question string from which prefixes need to be removed.
         prefixes (Optional[List[str]]): A list of prefixes to remove from the question.
                                         If not provided, a default set of common prefixes is used.
-
     Returns:
         str: The question string with the prefix removed, if a match is found;
              otherwise, the original question.
-
     Example:
         question = "Have you ever traveled abroad?"
         result = strip_prefixes(question)
@@ -57,8 +47,19 @@ def strip_prefixes(question: str, prefixes: Optional[List[str]] = None) -> str:
         "Do you think",
     ]
     prefixes = prefixes or default_prefixes
-
     for prefix in prefixes:
         if question.lower().startswith(prefix.lower()):
             return question[len(prefix) :].strip()
     return question
+
+def normalise_text(text: str) -> str:
+    """
+    Normalizes text by removing extra whitespace and converting to lowercase.
+
+    Args:
+        text (str): The input text to normalize
+
+    Returns:
+        str: Normalized text
+    """
+    return ' '.join(text.strip().split()).lower()