| """ |
| 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;"> |
| ✅ {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;"> |
| ⚠️ {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;"> |
| ❌ {message} |
| </div> |
| """ |
|
|