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""" | |
Formatting utilities for the GuardBench Leaderboard. | |
""" | |
import pandas as pd | |
import numpy as np | |
def make_clickable_model(model_name: str) -> str: | |
""" | |
Create a clickable link for a model name. | |
""" | |
return f'<a href="https://huggingface.co/{model_name}" target="_blank">{model_name}</a>' | |
def has_no_nan_values(df: pd.DataFrame, columns: list) -> pd.Series: | |
""" | |
Check if a row has no NaN values in the specified columns. | |
""" | |
return ~df[columns].isna().any(axis=1) | |
def format_percentage(value: float) -> str: | |
""" | |
Format a value as a percentage. | |
""" | |
if pd.isna(value): | |
return "N/A" | |
return f"{value * 100:.2f}%" | |
def format_number(value: float, precision: int = 2) -> str: | |
""" | |
Format a number with specified precision. | |
""" | |
if pd.isna(value): | |
return "N/A" | |
return f"{value:.{precision}f}" | |
def styled_message(message: str) -> str: | |
""" | |
Format a success message with styling. | |
""" | |
return f""" | |
<div style="padding: 10px; border-radius: 5px; background-color: #e6f7e6; color: #2e7d32; border: 1px solid #2e7d32;"> | |
β {message} | |
</div> | |
""" | |
def styled_warning(message: str) -> str: | |
""" | |
Format a warning message with styling. | |
""" | |
return f""" | |
<div style="padding: 10px; border-radius: 5px; background-color: #fff8e1; color: #ff8f00; border: 1px solid #ff8f00;"> | |
β οΈ {message} | |
</div> | |
""" | |
def styled_error(message: str) -> str: | |
""" | |
Format an error message with styling. | |
""" | |
return f""" | |
<div style="padding: 10px; border-radius: 5px; background-color: #ffebee; color: #c62828; border: 1px solid #c62828;"> | |
β {message} | |
</div> | |
""" | |