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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 _flatten_samples(samples, base_file, get_retriever):
 """Create a flattened JSON representation of data from the bcbio world map. """

    flat_data = []
    for data in samples:
        data["reference"] = _indexes_to_secondary_files(data["reference"], data["genome_build"])
        cur_flat = {}
        for key_path in [["analysis"], ["description"], ["rgnames"], ["config", "algorithm"],
                         ["metadata"], ["genome_build"], ["resources"],
                         ["files"], ["reference"], ["genome_resources"], ["vrn_file"]]:
            cur_key = "__".join(key_path)
            for flat_key, flat_val in _to_cwldata(cur_key, tz.get_in(key_path, data), get_retriever):
                cur_flat[flat_key] = flat_val
        flat_data.append(cur_flat)
    out = {}
    for key in sorted(list(set(reduce(operator.add, [list(d.keys()) for d in flat_data])))):
        # Periods in keys cause issues with WDL and some CWL implementations
        clean_key = key.replace(".", "_")
        out[clean_key] = []
        for cur_flat in flat_data:
            out[clean_key].append(cur_flat.get(key))
    # special case for back-compatibility with fasta specifications -- yuck
    if "reference__fasta__base" not in out and "reference__fasta" in out:
        out["reference__fasta__base"] = out["reference__fasta"]
        del out["reference__fasta"]
    return _samplejson_to_inputs(out), out