| """ |
| Minimal usage example for hv-tempo. |
| |
| python example.py |
| |
| Runs the predictor on five contrasting texts and prints a comparison. |
| """ |
|
|
| from hv_tempo import HVTempo |
|
|
|
|
| TEXTS = { |
| "fiction": ( |
| "The old man walked slowly to the boat. He stopped, looked at " |
| "the water, and then continued. The sea was quiet that morning." |
| ), |
| "academic": ( |
| "A black hole is a region of spacetime where gravity is so " |
| "strong that nothing - no particles or even electromagnetic " |
| "radiation such as light - can escape from it." |
| ), |
| "technical": ( |
| "To install the package, first verify that your Python version " |
| "is 3.9 or later. Then run the following command in your " |
| "terminal. After installation, you may need to configure the " |
| "API key." |
| ), |
| "list": ( |
| "The main contributions are: " |
| "1. A new algorithm for feature extraction. " |
| "2. A proof of the reconstruction floor. " |
| "3. Empirical validation on four encoders." |
| ), |
| "mixed": ( |
| "Although the results are preliminary, they suggest that the " |
| "method may generalize to other domains. However, the sample " |
| "size is small, so the conclusions should be treated with " |
| "caution. Further work is needed." |
| ), |
| } |
|
|
|
|
| def main() -> None: |
| m = HVTempo() |
|
|
| print("=" * 72) |
| print("hv-tempo comparison") |
| print("=" * 72) |
| print(f" {'name':<12} {'words':>6} {'wpm':>6} " |
| f"{'duration':>9} {'variance':>9}") |
| print(" " + "-" * 62) |
| for name, text in TEXTS.items(): |
| r = m.analyze(text) |
| var = f"{r.pace_variance:.3f}" if r.pace_variance is not None else "n/a" |
| print(f" {name:<12} {r.word_count:>6} {r.mean_wpm:>6.0f} " |
| f"{r.total_duration_s:>8.2f}s {var:>9}") |
|
|
| print() |
| print("=" * 72) |
| print("Detailed profile: academic") |
| print("=" * 72) |
| r = m.analyze(TEXTS["academic"]) |
| print(m.render(r)) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
