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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_ids(search_term, **kwargs):
 """Search Pubmed for paper IDs given a search term. Search options can be passed as keyword arguments, some of which are custom keywords identified by this function, while others are passed on as parameters for the request to the PubMed web service For details on parameters that can be used in PubMed searches, see https://www.ncbi.nlm.nih.gov/books/NBK25499/#chapter4.ESearch Some useful parameters to pass are db='pmc' to search PMC instead of pubmed reldate=2 to search for papers within the last 2 days mindate='2016/03/01', maxdate='2016/03/31' to search for papers in March 2016. PubMed, by default, limits returned PMIDs to a small number, and this number can be controlled by the "retmax" parameter. This function uses a retmax value of 100,000 by default that can be changed via the corresponding keyword argument. Parameters search_term : str A term for which the PubMed search should be performed. use_text_word : Optional[bool] If True, the "[tw]" string is appended to the search term to constrain the search to "text words", that is words that appear as whole in relevant parts of the PubMed entry (excl. for instance the journal name or publication date) like the title and abstract. Using this option can eliminate spurious search results such as all articles published in June for a search for the "JUN" gene, or journal names that contain Acad for a search for the "ACAD" gene. See also: https://www.nlm.nih.gov/bsd/disted/pubmedtutorial/020_760.html Default : True kwargs : kwargs Additional keyword arguments to pass to the PubMed search as parameters. """

    use_text_word = kwargs.pop('use_text_word', True)
    if use_text_word:
        search_term += '[tw]'
    params = {'term': search_term,
              'retmax': 100000,
              'retstart': 0,
              'db': 'pubmed',
              'sort': 'pub+date'}
    params.update(kwargs)
    tree = send_request(pubmed_search, params)
    if tree is None:
        return []
    if tree.find('ERROR') is not None:
        logger.error(tree.find('ERROR').text)
        return []
    if tree.find('ErrorList') is not None:
        for err in tree.find('ErrorList').getchildren():
            logger.error('Error - %s: %s' % (err.tag, err.text))
        return []
    count = int(tree.find('Count').text)
    id_terms = tree.findall('IdList/Id')
    if id_terms is None:
        return []
    ids = [idt.text for idt in id_terms]
    if count != len(ids):
        logger.warning('Not all ids were retrieved for search %s;\n'
                       'limited at %d.' % (search_term, params['retmax']))
    return ids