{% extends "main.html" %}

{% block tabs %}
  {{ super() }}
  <section class="tf-hero" aria-label="torchfits">
    <div class="tf-hero__sky" aria-hidden="true"></div>
    <div class="tf-hero__inner">
      <img
        class="tf-hero__brand"
        src="{{ 'torchfits-logo-hero.png' | url }}"
        alt="torchfits"
        width="280"
        height="90"
      />
      <p class="tf-hero__headline">FITS tensors for PyTorch</p>
      <p class="tf-hero__lede">
        Read images and tables straight into tensors — C++ engine, MEF-native CLI,
        no NumPy glue.
      </p>
      <div class="tf-hero__actions">
        <a class="tf-btn tf-btn--primary" href="{{ 'install/' | url }}">Install</a>
        <a class="tf-btn tf-btn--ghost" href="{{ 'quickstart/' | url }}">Quick start</a>
        <a class="tf-btn tf-btn--ghost" href="{{ 'cli/' | url }}">CLI</a>
      </div>
      <pre class="tf-hero__code" tabindex="0"><code>import torchfits
tensor = torchfits.read_tensor("science.fits", device="cuda")
table  = torchfits.table.read("catalog.fits", where="MAG &lt; 20")</code></pre>
    </div>
  </section>
{% endblock %}

{% block content %}
  {{ super() }}
{% endblock %}