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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 load_repo(client, path=None, index='git'):
 """ Parse a git repository with all it's commits and load it into elasticsearch using `client`. If the index doesn't exist it will be created. """

    path = dirname(dirname(abspath(__file__))) if path is None else path
    repo_name = basename(path)
    repo = git.Repo(path)

    create_git_index(client, index)

    # we let the streaming bulk continuously process the commits as they come
    # in - since the `parse_commits` function is a generator this will avoid
    # loading all the commits into memory
    for ok, result in streaming_bulk(
            client,
            parse_commits(repo.refs.master.commit, repo_name),
            index=index,
            doc_type='doc',
            chunk_size=50 # keep the batch sizes small for appearances only
        ):
        action, result = result.popitem()
        doc_id = '/%s/doc/%s' % (index, result['_id'])
        # process the information from ES whether the document has been
        # successfully indexed
        if not ok:
            print('Failed to %s document %s: %r' % (action, doc_id, result))
        else:
            print(doc_id)