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{"from": "grpo_train_execute_candidate", "to": "grpo_train_prop_rew", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_execute_candidate", "to": "grpo_train_solv_rew", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_execute_candidate", "to": "grpo_train_evaluate_bug_sample", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_execute_candidate", "to": "grpo_train_evaluate_proposer_fixed_set", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_build_mixed_role_dataset", "to": "grpo_train_build_weighted_proposer_rows", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_build_mixed_role_dataset", "to": "grpo_train_create_dataset", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_create_dataset", "to": "grpo_train_run_workflow", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_evaluate_bug_sample", "to": "grpo_train_evaluate_solver_fixed_set", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_evaluate_solver_fixed_set", "to": "grpo_train_generate_code", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_evaluate_solver_fixed_set", "to": "grpo_train_summarize_solver_results", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_evaluate_solver_fixed_set", "to": "grpo_train_run_workflow", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_evaluate_proposer_fixed_set", "to": "grpo_train_generate_code", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_evaluate_proposer_fixed_set", "to": "grpo_train_summarize_proposer_results", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_evaluate_proposer_fixed_set", "to": "grpo_train_summarize_proposer_by_seed", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_evaluate_proposer_fixed_set", "to": "grpo_train_summarize_proposer_by_bug_family", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_evaluate_proposer_fixed_set", "to": "grpo_train_run_workflow", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_build_weighted_proposer_rows", "to": "grpo_train_load_prior_seed_break_rates", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_build_weighted_proposer_rows", "to": "grpo_train_choose_proposer_bug_focus", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_save_metrics_artifact", "to": "grpo_train_run_workflow", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_get_training_profile", "to": "grpo_train_create_trainer", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_load_training_model_and_tokenizer", "to": "grpo_train_build_tiny_local_model_and_tokenizer", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_load_training_model_and_tokenizer", "to": "grpo_train_run_workflow", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_get_trl_classes", "to": "grpo_train_create_trainer", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_create_trainer", "to": "grpo_train_run_workflow", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_save_results_plot", "to": "grpo_train_run_workflow", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_run_workflow", "to": "grpo_train_main", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}];

const LEGEND = [{"cid": 0, "color": "#4E79A7", "label": "Community 0", "count": 34}, {"cid": 1, "color": "#F28E2B", "label": "Community 1", "count": 33}, {"cid": 2, "color": "#E15759", "label": "Community 2", "count": 22}, {"cid": 3, "color": "#76B7B2", "label": "Community 3", "count": 22}, {"cid": 4, "color": "#59A14F", "label": "Community 4", "count": 15}, {"cid": 5, "color": "#EDC948", "label": "Community 5", "count": 13}, {"cid": 6, "color": "#B07AA1", "label": "Community 6", "count": 11}, {"cid": 7, "color": "#FF9DA7", "label": "Community 7", "count": 4}, {"cid": 8, "color": "#9C755F", "label": "Community 8", "count": 2}, {"cid": 9, "color": "#BAB0AC", "label": "Community 9", "count": 1}];



// 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 legendEl = document.getElementById('legend');

LEGEND.forEach(c => {

  const item = document.createElement('div');

  item.className = 'legend-item';

  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.onclick = () => {

    if (hiddenCommunities.has(c.cid)) {

      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: hiddenCommunities.has(c.cid) }));

    nodesDS.update(updates);

  };

  legendEl.appendChild(item);

});

</script>
<script>

// Render hyperedges as shaded regions

const hyperedges = [];

// 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>