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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() |