RESULT_COLUMNS = [
    "Design Quality ↑ (HV)",
    "Mean Violations ↓",
    "Sim. to Data ↓ (MMD)",
    "Mean Novelty ↑",
    "Binary Validity ↑",
    "Diversity ↓ (DPP)",
]

EVAL_SCORE_NAMES = {
    "design_quality": "Design Quality ↑ (HV)",
    "mean_violations": "Constraint Violation ↓",
    "sim_to_data_mmd": "Sim. to Data ↓ (MMD)",
    "mean_novelty": "Novelty ↑",
    "binary_validity": "Binary Validity ↑",
    "diversity_dpp": "Diversity ↓ (DPP)",
}


SCORE_NAMES_MAP = {
    "design_quality": "Design\nQuality ↑",
    "mean_violations": "Constraint\nViolation ↓",
    "sim_to_data_mmd": "Similarity\nto Data ↓",
    "mean_novelty": "Novelty ↑",
    "binary_validity": "Binary\nValidity ↑",
    "diversity_dpp": "Diversity ↓",

    # NEW METADATA COLUMNS:
    "eval_count": "Eval.\ncount",
    "conditional": "Cond?",
    "masked": "Masked?",
    "gradient_free": "Grad-\nfree?",
}

METADATA_NAMES_MAP = {
    "model_name": "Model\nName",
    "submission_time": "Submission\nDate",
    "github_link": "GitHub\nLink",
    "paper_link": "Paper\nLink",
    "admin_verified": "Verified?",
    "update_time": "Verified\nDate",
    "uuid": "Model\nUUID",
}