Stay organized with collections
Save and categorize content based on your preferences.
Implement regex-based sentence splitting for function completion.
You can query a model directly and test the results returned when using
different parameter values with the Cloud console, or by calling the
Vertex AI API directly.
I've been asked to finish work on this function that splits sentences into a list. Unfortunately, I've been specifically told to use regex for this, with extra requirements explained in the function's docstring. Regex is a pain in the butt at the best of times - could you complete this code for me? Everything you need should be inside the snippet.
import re
def splitSentences(sentences):
"""
Splits a string of sentences into a list.
Each sentence is period-separated, save for cases where
the phrases "Mr." or "Ms." are used, since those
don't end a sentence.
"""
sentenceList = []
# missing code here
return sentenceList
Response
import re
def splitSentences(sentences):
"""
Splits a string of sentences into a list.
Each sentence is period-separated, save for cases where
the phrases "Mr." or "Ms." are used, since those
don't end a sentence.
"""
sentenceList = []
sentenceEnders = r'(?<!Mr)\.(?<![A-Z][a-z]\.)(?<![A-Z][a-z][a-z]\.)(?<=\.|\?)\s'
sentenceList = re.split(sentenceEnders, sentences)
return sentenceList
TLDR: The code splits a string into a list of sentences using regex. The regex was corrected to accurately identify sentence endings while excluding abbreviations like "Mr." and "Ms.".
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-11-26 UTC."],[],[]]