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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 read(path, corpus=True, index_by='uri', follow_links=False, **kwargs):
 """ Read bibliographic data from Zotero RDF. Examples -------- Assuming that the Zotero collection was exported to the directory ``/my/working/dir`` with the name ``myCollection``, a subdirectory should have been created at ``/my/working/dir/myCollection``, and an RDF file should exist at ``/my/working/dir/myCollection/myCollection.rdf``. .. code-block:: python <tethne.classes.corpus.Corpus object at 0x10047e350> Parameters path : str Path to the output directory created by Zotero. Expected to contain a file called ``[directory_name].rdf``. corpus : bool (default: True) If True, returns a :class:`.Corpus`\. Otherwise, returns a list of :class:`.Paper`\s. index_by : str (default: ``'identifier'``) :class:`.Paper` attribute name to use as the primary indexing field. If the field is missing on a :class:`.Paper`\, a unique identifier will be generated based on the title and author names. follow_links : bool If ``True``, attempts to load full-text content from attached files (e.g. PDFs with embedded text). Default: False. kwargs : kwargs Passed to the :class:`.Corpus` constructor. Returns ------- corpus : :class:`.Corpus` """

    # TODO: is there a case where `from_dir` would make sense?

    parser = ZoteroParser(path, index_by=index_by, follow_links=follow_links)
    papers = parser.parse()

    if corpus:
        c = Corpus(papers, index_by=index_by, **kwargs)
        if c.duplicate_papers:
            warnings.warn("Duplicate papers detected. Use the 'duplicate_papers' attribute of the corpus to get the list", UserWarning)

        for fset_name, fset_values in parser.full_text.iteritems():
            c.features[fset_name] = StructuredFeatureSet(fset_values)
        return c
    return papers