viterbi 0.2.0

Pure-Rust, no-unsafe convolutional encoder + Viterbi (MLSE) decoder — CCSDS inner FEC: hard & soft-decision (LLR), rate 1/2 & 1/3, puncturing (2/3–7/8), generic constraint length K<=9.
Documentation 
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"title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "remember_today_2026_07_02_done", "to": "remember_today_2026_07_02_done_04_00_04_41_main", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "remember_today_2026_07_02_done", "to": "remember_today_2026_07_02_done_05_07_05_56_main", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "remember_today_2026_07_02_done", "to": "remember_today_2026_07_02_done_06_13_06_24_feat_viterbi_hard_block_codec", "label": "contains", "title": "contains [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "remember_today_2026_07_02_done", "to": "remember_today_2026_07_02_done_06_26_feat_viterbi_hard_block_codec", "label": "contains", 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const LEGEND = [{"cid": 0, "color": "#4E79A7", "label": "Community 0", "count": 21}, {"cid": 1, "color": "#F28E2B", "label": "Community 1", "count": 17}, {"cid": 2, "color": "#E15759", "label": "Community 2", "count": 16}, {"cid": 3, "color": "#76B7B2", "label": "Community 3", "count": 11}, {"cid": 4, "color": "#59A14F", "label": "Community 4", "count": 13}, {"cid": 5, "color": "#EDC948", "label": "Community 5", "count": 13}, {"cid": 6, "color": "#B07AA1", "label": "Community 6", "count": 14}, {"cid": 7, "color": "#FF9DA7", "label": "Community 7", "count": 15}, {"cid": 8, "color": "#9C755F", "label": "Community 8", "count": 27}, {"cid": 9, "color": "#BAB0AC", "label": "Community 9", "count": 6}, {"cid": 10, "color": "#4E79A7", "label": "Community 10", "count": 4}, {"cid": 11, "color": "#F28E2B", "label": "Community 11", "count": 2}, {"cid": 12, "color": "#E15759", "label": "Community 12", "count": 2}, {"cid": 13, "color": "#76B7B2", "label": "Community 13", "count": 2}, {"cid": 14, "color": "#59A14F", "label": "Community 14", "count": 2}, {"cid": 15, "color": "#EDC948", "label": "Community 15", "count": 1}, {"cid": 16, "color": "#B07AA1", "label": "Community 16", "count": 2}, {"cid": 17, "color": "#FF9DA7", "label": "Community 17", "count": 2}, {"cid": 18, "color": "#9C755F", "label": "Community 18", "count": 2}, {"cid": 19, "color": "#BAB0AC", "label": "Community 19", "count": 2}, {"cid": 20, "color": "#4E79A7", "label": "Community 20", "count": 10}, {"cid": 21, "color": "#F28E2B", "label": "Community 21", "count": 1}, {"cid": 22, "color": "#E15759", "label": "Community 22", "count": 1}, {"cid": 23, "color": "#76B7B2", "label": "Community 23", "count": 1}, {"cid": 24, "color": "#59A14F", "label": "Community 24", "count": 1}, {"cid": 25, "color": "#EDC948", "label": "Community 25", "count": 1}, {"cid": 26, "color": "#B07AA1", "label": "Community 26", "count": 1}, {"cid": 27, "color": "#FF9DA7", "label": "Community 27", "count": 1}, {"cid": 28, "color": "#9C755F", "label": "Community 28", "count": 9}];

// HTML-escape helper — prevents XSS when injecting graph data into innerHTML
function esc(s) {
  return String(s).replace(/&/g,'&amp;').replace(/</g,'&lt;').replace(/>/g,'&gt;').replace(/"/g,'&quot;').replace(/'/g,'&#39;');
}

// Build vis datasets
const nodesDS = new vis.DataSet(RAW_NODES.map(n => ({
  id: n.id, label: n.label, color: n.color, size: n.size,
  font: n.font, title: n.title,
  _community: n.community, _community_name: n.community_name,
  _source_file: n.source_file, _file_type: n.file_type, _degree: n.degree,
})));

const edgesDS = new vis.DataSet(RAW_EDGES.map((e, i) => ({
  id: i, from: e.from, to: e.to,
  label: '',
  title: e.title,
  dashes: e.dashes,
  width: e.width,
  color: e.color,
  arrows: { to: { enabled: true, scaleFactor: 0.5 } },
})));

const container = document.getElementById('graph');
const network = new vis.Network(container, { nodes: nodesDS, edges: edgesDS }, {
  physics: {
    enabled: true,
    solver: 'forceAtlas2Based',
    forceAtlas2Based: {
      gravitationalConstant: -60,
      centralGravity: 0.005,
      springLength: 120,
      springConstant: 0.08,
      damping: 0.4,
      avoidOverlap: 0.8,
    },
    stabilization: { iterations: 200, fit: true },
  },
  interaction: {
    hover: true,
    tooltipDelay: 100,
    hideEdgesOnDrag: true,
    navigationButtons: false,
    keyboard: false,
  },
  nodes: { shape: 'dot', borderWidth: 1.5 },
  edges: { smooth: { type: 'continuous', roundness: 0.2 }, selectionWidth: 3 },
});

network.once('stabilizationIterationsDone', () => {
  network.setOptions({ physics: { enabled: false } });
});

function showInfo(nodeId) {
  const n = nodesDS.get(nodeId);
  if (!n) return;
  const neighborIds = network.getConnectedNodes(nodeId);
  const neighborItems = neighborIds.map(nid => {
    const nb = nodesDS.get(nid);
    const color = nb ? nb.color.background : '#555';
    return `<span class="neighbor-link" style="border-left-color:${esc(color)}" onclick="focusNode(${JSON.stringify(nid)})">${esc(nb ? nb.label : nid)}</span>`;
  }).join('');
  document.getElementById('info-content').innerHTML = `
    <div class="field"><b>${esc(n.label)}</b></div>
    <div class="field">Type: ${esc(n._file_type || 'unknown')}</div>
    <div class="field">Community: ${esc(n._community_name)}</div>
    <div class="field">Source: ${esc(n._source_file || '-')}</div>
    <div class="field">Degree: ${n._degree}</div>
    ${neighborIds.length ? `<div class="field" style="margin-top:8px;color:#aaa;font-size:11px">Neighbors (${neighborIds.length})</div><div id="neighbors-list">${neighborItems}</div>` : ''}
  `;
}

function focusNode(nodeId) {
  network.focus(nodeId, { scale: 1.4, animation: true });
  network.selectNodes([nodeId]);
  showInfo(nodeId);
}

// Track hovered node — hover detection is more reliable than click params
let hoveredNodeId = null;
network.on('hoverNode', params => {
  hoveredNodeId = params.node;
  container.style.cursor = 'pointer';
});
network.on('blurNode', () => {
  hoveredNodeId = null;
  container.style.cursor = 'default';
});
container.addEventListener('click', () => {
  if (hoveredNodeId !== null) {
    showInfo(hoveredNodeId);
    network.selectNodes([hoveredNodeId]);
  }
});
network.on('click', params => {
  if (params.nodes.length > 0) {
    showInfo(params.nodes[0]);
  } else if (hoveredNodeId === null) {
    document.getElementById('info-content').innerHTML = '<span class="empty">Click a node to inspect it</span>';
  }
});

const searchInput = document.getElementById('search');
const searchResults = document.getElementById('search-results');
searchInput.addEventListener('input', () => {
  const q = searchInput.value.toLowerCase().trim();
  searchResults.innerHTML = '';
  if (!q) { searchResults.style.display = 'none'; return; }
  const matches = RAW_NODES.filter(n => n.label.toLowerCase().includes(q)).slice(0, 20);
  if (!matches.length) { searchResults.style.display = 'none'; return; }
  searchResults.style.display = 'block';
  matches.forEach(n => {
    const el = document.createElement('div');
    el.className = 'search-item';
    el.textContent = n.label;
    el.style.borderLeft = `3px solid ${n.color.background}`;
    el.style.paddingLeft = '8px';
    el.onclick = () => {
      network.focus(n.id, { scale: 1.5, animation: true });
      network.selectNodes([n.id]);
      showInfo(n.id);
      searchResults.style.display = 'none';
      searchInput.value = '';
    };
    searchResults.appendChild(el);
  });
});
document.addEventListener('click', e => {
  if (!searchResults.contains(e.target) && e.target !== searchInput)
    searchResults.style.display = 'none';
});

const hiddenCommunities = new Set();

const selectAllCb = document.getElementById('select-all-cb');

function updateSelectAllState() {
  const total = LEGEND.length;
  const hidden = hiddenCommunities.size;
  selectAllCb.checked = hidden === 0;
  selectAllCb.indeterminate = hidden > 0 && hidden < total;
}

function toggleAllCommunities(hide) {
  document.querySelectorAll('.legend-item').forEach(item => {
    hide ? item.classList.add('dimmed') : item.classList.remove('dimmed');
  });
  document.querySelectorAll('.legend-cb').forEach(cb => {
    cb.checked = !hide;
  });
  LEGEND.forEach(c => {
    if (hide) hiddenCommunities.add(c.cid); else hiddenCommunities.delete(c.cid);
  });
  const updates = RAW_NODES.map(n => ({ id: n.id, hidden: hide }));
  nodesDS.update(updates);
  updateSelectAllState();
}

const legendEl = document.getElementById('legend');
LEGEND.forEach(c => {
  const item = document.createElement('div');
  item.className = 'legend-item';
  const cb = document.createElement('input');
  cb.type = 'checkbox';
  cb.className = 'legend-cb';
  cb.checked = true;
  cb.addEventListener('change', (e) => {
    e.stopPropagation();
    if (cb.checked) {
      hiddenCommunities.delete(c.cid);
      item.classList.remove('dimmed');
    } else {
      hiddenCommunities.add(c.cid);
      item.classList.add('dimmed');
    }
    const updates = RAW_NODES
      .filter(n => n.community === c.cid)
      .map(n => ({ id: n.id, hidden: !cb.checked }));
    nodesDS.update(updates);
    updateSelectAllState();
  });
  item.innerHTML = `<div class="legend-dot" style="background:${c.color}"></div>
    <span class="legend-label">${c.label}</span>
    <span class="legend-count">${c.count}</span>`;
  item.prepend(cb);
  item.onclick = (e) => {
    if (e.target === cb) return;
    cb.checked = !cb.checked;
    cb.dispatchEvent(new Event('change'));
  };
  legendEl.appendChild(item);
});
</script>
<script>
// Render hyperedges as shaded regions
const hyperedges = [{"id": "concatenated_fec_scheme", "label": "CCSDS Concatenated FEC Scheme", "nodes": ["readme_viterbi_crate", "readme_reedsolomon_crate", "readme_interleaver", "readme_viterbi_encoder", "readme_ccsds_viterbi_decoder"], "relation": "participate_in", "confidence": "INFERRED", "confidence_score": 0.75, "source_file": "README.md"}, {"id": "viterbi_crate_spec_md_viterbi_components", "label": "Viterbi Decoder Components", "nodes": ["viterbi_crate_spec_md_viterbi_decoder", "viterbi_crate_spec_md_bmu", "viterbi_crate_spec_md_acs", "viterbi_crate_spec_md_smu"], "relation": "participate_in", "confidence": "EXTRACTED", "confidence_score": 0.95, "source_file": "VITERBI_CRATE_SPEC.md"}, {"id": "viterbi_crate_spec_md_concatenated_scheme", "label": "Concatenated Coding Scheme", "nodes": ["viterbi_crate_spec_md_viterbi_rs", "viterbi_crate_spec_md_reedsolomon_rs", "viterbi_crate_spec_md_interleaver", "viterbi_crate_spec_md_deinterleaver"], "relation": "form", "confidence": "EXTRACTED", "confidence_score": 0.9, "source_file": "VITERBI_CRATE_SPEC.md"}, {"id": "viterbi_crate_spec_md_ccsdsspec_components", "label": "CCSDS Specification Components", "nodes": ["viterbi_crate_spec_md_ccsdsspec", "viterbi_crate_spec_md_viterbi_rs", "viterbi_crate_spec_md_reedsolomon_rs"], "relation": "conceptually_related_to", "confidence": "INFERRED", "confidence_score": 0.75, "source_file": "VITERBI_CRATE_SPEC.md"}, {"id": "VITERBI_CRATE_SPEC_md_src_modules", "label": "src/ modules", "nodes": ["VITERBI_CRATE_SPEC_md_ConvEncoder", "VITERBI_CRATE_SPEC_md_Trellis", "VITERBI_CRATE_SPEC_md_Metric", "VITERBI_CRATE_SPEC_md_Decoder", "VITERBI_CRATE_SPEC_md_Puncture", "VITERBI_CRATE_SPEC_md_Sync", "VITERBI_CRATE_SPEC_md_Concat"], "relation": "participate_in", "confidence": "EXTRACTED", "confidence_score": 0.9, "source_file": "VITERBI_CRATE_SPEC.md"}, {"id": "ci_yml_CI_workflow", "label": "CI workflow", "nodes": ["ci_yml_Test", "ci_yml_Clippy", "ci_yml_Format", "ci_yml_Build", "ci_yml_Audit"], "relation": "participate_in", "confidence": "EXTRACTED", "confidence_score": 0.9, "source_file": ".github/workflows/ci.yml"}, {"id": "viterbi_release_workflow", "label": "viterbi v0.0.1 release process", "nodes": ["remember_handoff", "crates.io", "GitHub", "HORUS"], "relation": "participate_in", "confidence": "EXTRACTED", "confidence_score": 0.95, "source_file": ".remember/remember.md"}];
// afterDrawing passes ctx already transformed to network coordinate space.
// Draw node positions raw — no manual pan/zoom/DPR math needed.
network.on('afterDrawing', function(ctx) {
    hyperedges.forEach(h => {
        const positions = h.nodes
            .map(nid => network.getPositions([nid])[nid])
            .filter(p => p !== undefined);
        if (positions.length < 2) return;
        ctx.save();
        ctx.globalAlpha = 0.12;
        ctx.fillStyle = '#6366f1';
        ctx.strokeStyle = '#6366f1';
        ctx.lineWidth = 2;
        ctx.beginPath();
        // Centroid and expanded hull in network coordinates
        const cx = positions.reduce((s, p) => s + p.x, 0) / positions.length;
        const cy = positions.reduce((s, p) => s + p.y, 0) / positions.length;
        const expanded = positions.map(p => ({
            x: cx + (p.x - cx) * 1.15,
            y: cy + (p.y - cy) * 1.15
        }));
        ctx.moveTo(expanded[0].x, expanded[0].y);
        expanded.slice(1).forEach(p => ctx.lineTo(p.x, p.y));
        ctx.closePath();
        ctx.fill();
        ctx.globalAlpha = 0.4;
        ctx.stroke();
        // Label
        ctx.globalAlpha = 0.8;
        ctx.fillStyle = '#4f46e5';
        ctx.font = 'bold 11px sans-serif';
        ctx.textAlign = 'center';
        ctx.fillText(h.label, cx, cy - 5);
        ctx.restore();
    });
});
</script>
</body>
</html>