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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_training_data(vrn_files):
 """Retrieve training data, returning an empty set of information if not available. """

    out = {"SNP": [], "INDEL": []}
    # SNPs
    for name, train_info in [("train_hapmap", "known=false,training=true,truth=true,prior=15.0"),
                             ("train_omni", "known=false,training=true,truth=true,prior=12.0"),
                             ("train_1000g", "known=false,training=true,truth=false,prior=10.0"),
                             ("dbsnp", "known=true,training=false,truth=false,prior=2.0")]:
        if name not in vrn_files:
            return {}
        else:
            out["SNP"].append((name.replace("train_", ""), train_info, vrn_files[name]))
    # Indels
    if "train_indels" in vrn_files:
        out["INDEL"].append(("mills", "known=true,training=true,truth=true,prior=12.0",
                             vrn_files["train_indels"]))
    else:
        return {}
    return out