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"grpo_train_solv_rew", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_extract_python_code", "to": "grpo_train_generate_code", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_completion_to_text", "to": "grpo_train_prop_rew", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_completion_to_text", "to": "grpo_train_solv_rew", "label": "calls", "title": "calls [EXTRACTED]", "dashes": false, "width": 2, "color": {"opacity": 0.7}, "confidence": "EXTRACTED"}, {"from": "grpo_train_prompt_to_text", "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_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,'&').replace(/</g,'<').replace(/>/g,'>').replace(/"/g,'"').replace(/'/g,'''); | |
| } | |
| // 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> |