input: 
  def search_for_titles_using_API(query: str, collection: str) -> List[str]:
      """
      This function uses the KB SRU API to search for titles based on the given query and collection.
      It returns a list of titles that match the query.
      >>> search_for_titles_using_API('python', 'ANP')
      ['Python Programming', 'Python for Data Science']
      >>> search_for_titles_using_API('machine learning', 'GGC')
      ['Machine Learning Basics', 'Advanced Machine Learning']
      """
  
output:     import requests
      import xml.etree.ElementTree as ET
  
      base_url = "http://example.com/sru"
      params = {
          'operation': 'searchRetrieve',
          'version': '1.2',
          'query': f'{collection} all "{query}"',
          'recordSchema': 'dc'
      }
  
      response = requests.get(base_url, params=params)
      root = ET.fromstring(response.content)
  
      titles = []
      for record in root.findall('.//{http://www.loc.gov/zing/srw/}record'):
          title = record.find('.//{http://purl.org/dc/elements/1.1/}title')
          if title is not None and title.text:
              titles.append(title.text)
  
      return titles