{
  "version": 3,
  "sources": ["../../../../../node_modules/.pnpm/non-layered-tidy-tree-layout@2.0.2/node_modules/non-layered-tidy-tree-layout/src/algorithm.js", "../../../../../node_modules/.pnpm/non-layered-tidy-tree-layout@2.0.2/node_modules/non-layered-tidy-tree-layout/src/helpers.js", "../../../src/layout.ts", "../../../src/render.ts"],
  "sourcesContent": ["class Tree {\n  constructor(width, height, y, children) {\n    this.w = width\n    this.h = height\n    this.y = y\n    this.c = children\n    this.cs = children.length\n\n    this.x = 0\n    this.prelim = 0\n    this.mod = 0\n    this.shift = 0\n    this.change = 0\n    this.tl = null // Left thread\n    this.tr = null // Right thread\n    this.el = null // extreme left nodes\n    this.er = null // extreme right nodes\n    //sum of modifiers at the extreme nodes\n    this.msel = 0\n    this.mser = 0\n  }\n}\n\nfunction setExtremes(tree) {\n  if (tree.cs === 0) {\n    tree.el = tree\n    tree.er = tree\n    tree.msel = tree.mser = 0\n  } else {\n    tree.el = tree.c[0].el\n    tree.msel = tree.c[0].msel\n    tree.er = tree.c[tree.cs - 1].er\n    tree.mser = tree.c[tree.cs - 1].mser\n  }\n}\n\nfunction bottom(tree) {\n  return tree.y + tree.h\n}\n\n/* A linked list of the indexes of left siblings and their lowest vertical coordinate.\n */\nclass IYL {\n  constructor(lowY, index, next) {\n    this.lowY = lowY\n    this.index = index\n    this.next = next\n  }\n}\n\nfunction updateIYL(minY, i, ih) {\n  // Remove siblings that are hidden by the new subtree.\n  while (ih !== null && minY >= ih.lowY) {\n    // Prepend the new subtree\n    ih = ih.next\n  }\n  return new IYL(minY, i, ih)\n}\n\nfunction distributeExtra(tree, i, si, distance) {\n  // Are there intermediate children?\n  if (si !== i - 1) {\n    const nr = i - si\n    tree.c[si + 1].shift += distance / nr\n    tree.c[i].shift -= distance / nr\n    tree.c[i].change -= distance - distance / nr\n  }\n}\n\nfunction moveSubtree(tree, i, si, distance) {\n  // Move subtree by changing mod.\n  tree.c[i].mod += distance\n  tree.c[i].msel += distance\n  tree.c[i].mser += distance\n  distributeExtra(tree, i, si, distance)\n}\n\nfunction nextLeftContour(tree) {\n  return tree.cs === 0 ? tree.tl : tree.c[0]\n}\n\nfunction nextRightContour(tree) {\n  return tree.cs === 0 ? tree.tr : tree.c[tree.cs - 1]\n}\n\nfunction setLeftThread(tree, i, cl, modsumcl) {\n  const li = tree.c[0].el\n  li.tl = cl\n  // Change mod so that the sum of modifier after following thread is correct.\n  const diff = (modsumcl - cl.mod) - tree.c[0].msel\n  li.mod += diff\n  // Change preliminary x coordinate so that the node does not move.\n  li.prelim -= diff\n  // Update extreme node and its sum of modifiers.\n  tree.c[0].el = tree.c[i].el\n  tree.c[0].msel = tree.c[i].msel\n}\n\n// Symmetrical to setLeftThread\nfunction setRightThread(tree, i, sr, modsumsr) {\n  const ri = tree.c[i].er\n  ri.tr = sr\n  const diff = (modsumsr - sr.mod) - tree.c[i].mser\n  ri.mod += diff\n  ri.prelim -= diff\n  tree.c[i].er = tree.c[i - 1].er\n  tree.c[i].mser = tree.c[i - 1].mser\n}\n\nfunction seperate(tree, i, ih) {\n  // Right contour node of left siblings and its sum of modifiers.\n  let sr = tree.c[i - 1]\n  let mssr = sr.mod\n  // Left contour node of right siblings and its sum of modifiers.\n  let cl = tree.c[i]\n  let mscl = cl.mod\n  while (sr !== null && cl !== null) {\n    if (bottom(sr) > ih.lowY) {\n      ih = ih.next\n    }\n    // How far to the left of the right side of sr is the left side of cl.\n    const distance = mssr + sr.prelim + sr.w - (mscl + cl.prelim)\n    if (distance > 0) {\n      mscl += distance\n      moveSubtree(tree, i, ih.index, distance)\n    }\n\n    const sy = bottom(sr)\n    const cy = bottom(cl)\n    if (sy <= cy) {\n      sr = nextRightContour(sr)\n      if (sr !== null) {\n        mssr += sr.mod\n      }\n    }\n    if (sy >= cy) {\n      cl = nextLeftContour(cl)\n      if (cl !== null) {\n        mscl += cl.mod\n      }\n    }\n  }\n\n  // Set threads and update extreme nodes.\n  // In the first case, the current subtree must be taller than the left siblings.\n  if (sr === null && cl !== null) {\n    setLeftThread(tree, i, cl, mscl)\n  } else if (sr !== null && cl === null) {\n    setRightThread(tree, i, sr, mssr)\n  }\n}\n\nfunction positionRoot(tree) {\n  // Position root between children, taking into account their mod.\n  tree.prelim =\n    (tree.c[0].prelim +\n      tree.c[0].mod +\n      tree.c[tree.cs - 1].mod +\n      tree.c[tree.cs - 1].prelim +\n      tree.c[tree.cs - 1].w) /\n      2 -\n    tree.w / 2\n}\n\nfunction firstWalk(tree) {\n  if (tree.cs === 0) {\n    setExtremes(tree)\n    return\n  }\n\n  firstWalk(tree.c[0])\n  let ih = updateIYL(bottom(tree.c[0].el), 0, null)\n  for (let i = 1; i < tree.cs; i++) {\n    firstWalk(tree.c[i])\n    const minY = bottom(tree.c[i].er)\n    seperate(tree, i, ih)\n    ih = updateIYL(minY, i, ih)\n  }\n  positionRoot(tree)\n  setExtremes(tree)\n}\n\nfunction addChildSpacing(tree) {\n  let d = 0\n  let modsumdelta = 0\n  for (let i = 0; i < tree.cs; i++) {\n    d += tree.c[i].shift\n    modsumdelta += d + tree.c[i].change\n    tree.c[i].mod += modsumdelta\n  }\n}\n\nfunction secondWalk(tree, modsum) {\n  modsum += tree.mod\n  // Set absolute (no-relative) horizontal coordinates.\n  tree.x = tree.prelim + modsum\n  addChildSpacing(tree)\n  for (let i = 0; i < tree.cs; i++) {\n    secondWalk(tree.c[i], modsum)\n  }\n}\n\nfunction layout(tree) {\n  firstWalk(tree)\n  secondWalk(tree, 0)\n}\n\nexport { Tree, layout }\n", "import { layout, Tree } from './algorithm'\n\nclass BoundingBox {\n  /**\n   * @param {number} gap - the gap between sibling nodes\n   * @param {number} bottomPadding - the height reserved for connection drawing\n   */\n  constructor(gap, bottomPadding) {\n    this.gap = gap\n    this.bottomPadding = bottomPadding\n  }\n\n  addBoundingBox(width, height) {\n    return { width: width + this.gap, height: height + this.bottomPadding }\n  }\n\n  /**\n   * Return the coordinate without the bounding box for a node\n   */\n  removeBoundingBox(x, y) {\n    return { x: x + this.gap / 2, y }\n  }\n}\n\nclass Layout {\n  constructor(boundingBox) {\n    this.bb = boundingBox\n  }\n\n  /**\n   * Layout treeData.\n   * Return modified treeData and the bounding box encompassing all the nodes.\n   * \n   * See getSize() for more explanation.\n   */\n  layout(treeData) {\n    const tree = this.convert(treeData)\n    layout(tree)\n    const { boundingBox, result } = this.assignLayout(tree, treeData)\n\n    return { result, boundingBox }\n  }\n\n  /**\n   * Returns Tree to layout, with bounding boxes added to each node.\n   */\n  convert(treeData, y = 0) {\n    if (treeData === null) return null\n\n    const { width, height } = this.bb.addBoundingBox(\n      treeData.width,\n      treeData.height\n    )\n    let children = []\n    if (treeData.children && treeData.children.length) {\n      for (let i = 0; i < treeData.children.length; i++) {\n        children[i] = this.convert(treeData.children[i], y + height)\n      }\n    }\n\n    return new Tree(width, height, y, children)\n  }\n\n  /**\n   * Assign layout tree x, y coordinates back to treeData,\n   * with bounding boxes removed.\n   */\n  assignCoordinates(tree, treeData) {\n    const { x, y } = this.bb.removeBoundingBox(tree.x, tree.y)\n    treeData.x = x\n    treeData.y = y\n    for (let i = 0; i < tree.c.length; i++) {\n      this.assignCoordinates(tree.c[i], treeData.children[i])\n    }\n  }\n\n  /**\n   * Return the bounding box that encompasses all the nodes.\n   * The result has a structure of\n   * { left: number, right: number, top: number, bottom: nubmer}.\n   * This is not the same bounding box concept as the `BoundingBox` class\n   * used to construct `Layout` class.\n   */\n  getSize(treeData, box = null) {\n    const { x, y, width, height } = treeData\n    if (box === null) {\n      box = { left: x, right: x + width, top: y, bottom: y + height }\n    }\n    box.left = Math.min(box.left, x)\n    box.right = Math.max(box.right, x + width)\n    box.top = Math.min(box.top, y)\n    box.bottom = Math.max(box.bottom, y + height)\n\n    if (treeData.children) {\n      for (const child of treeData.children) {\n        this.getSize(child, box)\n      }\n    }\n\n    return box\n  }\n\n  /**\n   * This function does assignCoordinates and getSize in one pass.\n   */\n  assignLayout(tree, treeData, box = null) {\n    const { x, y } = this.bb.removeBoundingBox(tree.x, tree.y)\n    treeData.x = x\n    treeData.y = y\n\n    const { width, height } = treeData\n    if (box === null) {\n      box = { left: x, right: x + width, top: y, bottom: y + height }\n    }\n    box.left = Math.min(box.left, x)\n    box.right = Math.max(box.right, x + width)\n    box.top = Math.min(box.top, y)\n    box.bottom = Math.max(box.bottom, y + height)\n\n    for (let i = 0; i < tree.c.length; i++) {\n      this.assignLayout(tree.c[i], treeData.children[i], box)\n    }\n\n    return { result: treeData, boundingBox: box }\n  }\n}\n\nexport { Layout, BoundingBox }\n", "import type { LayoutData } from 'mermaid';\nimport type { Bounds, Point } from 'mermaid/src/types.js';\nimport { BoundingBox, Layout } from 'non-layered-tidy-tree-layout';\nimport type {\n  Edge,\n  LayoutResult,\n  Node,\n  PositionedEdge,\n  PositionedNode,\n  TidyTreeNode,\n} from './types.js';\n\n/**\n * Execute the tidy-tree layout algorithm on generic layout data\n *\n * This function takes layout data and uses the non-layered-tidy-tree-layout\n * algorithm to calculate optimal node positions for tree structures.\n *\n * @param data - The layout data containing nodes, edges, and configuration\n * @param config - Mermaid configuration object\n * @returns Promise resolving to layout result with positioned nodes and edges\n */\nexport function executeTidyTreeLayout(data: LayoutData): Promise<LayoutResult> {\n  let intersectionShift = 50;\n\n  return new Promise((resolve, reject) => {\n    try {\n      if (!data.nodes || !Array.isArray(data.nodes) || data.nodes.length === 0) {\n        throw new Error('No nodes found in layout data');\n      }\n\n      if (!data.edges || !Array.isArray(data.edges)) {\n        data.edges = [];\n      }\n\n      const { leftTree, rightTree, rootNode } = convertToDualTreeFormat(data);\n\n      const gap = 20;\n      const bottomPadding = 40;\n      intersectionShift = 30;\n\n      const bb = new BoundingBox(gap, bottomPadding);\n      const layout = new Layout(bb);\n\n      let leftResult = null;\n      let rightResult = null;\n\n      if (leftTree) {\n        const leftLayoutResult = layout.layout(leftTree);\n        leftResult = leftLayoutResult.result;\n      }\n\n      if (rightTree) {\n        const rightLayoutResult = layout.layout(rightTree);\n        rightResult = rightLayoutResult.result;\n      }\n\n      const positionedNodes = combineAndPositionTrees(rootNode, leftResult, rightResult);\n      const positionedEdges = calculateEdgePositions(\n        data.edges,\n        positionedNodes,\n        intersectionShift\n      );\n      resolve({\n        nodes: positionedNodes,\n        edges: positionedEdges,\n      });\n    } catch (error) {\n      reject(error);\n    }\n  });\n}\n\n/**\n * Convert LayoutData to dual-tree format (left and right trees)\n *\n * This function builds two separate tree structures from the nodes and edges,\n * alternating children between left and right trees.\n */\nfunction convertToDualTreeFormat(data: LayoutData): {\n  leftTree: TidyTreeNode | null;\n  rightTree: TidyTreeNode | null;\n  rootNode: TidyTreeNode;\n} {\n  const { nodes, edges } = data;\n\n  const nodeMap = new Map<string, Node>();\n  nodes.forEach((node) => nodeMap.set(node.id, node));\n\n  const children = new Map<string, string[]>();\n  const parents = new Map<string, string>();\n\n  edges.forEach((edge) => {\n    const parentId = edge.start;\n    const childId = edge.end;\n\n    if (parentId && childId) {\n      if (!children.has(parentId)) {\n        children.set(parentId, []);\n      }\n      children.get(parentId)!.push(childId);\n      parents.set(childId, parentId);\n    }\n  });\n\n  const rootNodeData = nodes.find((node) => !parents.has(node.id));\n  if (!rootNodeData && nodes.length === 0) {\n    throw new Error('No nodes available to create tree');\n  }\n\n  const actualRoot = rootNodeData ?? nodes[0];\n\n  const rootNode: TidyTreeNode = {\n    id: actualRoot.id,\n    width: actualRoot.width ?? 100,\n    height: actualRoot.height ?? 50,\n    _originalNode: actualRoot,\n  };\n\n  const rootChildren = children.get(actualRoot.id) ?? [];\n  const leftChildren: string[] = [];\n  const rightChildren: string[] = [];\n\n  rootChildren.forEach((childId, index) => {\n    if (index % 2 === 0) {\n      leftChildren.push(childId);\n    } else {\n      rightChildren.push(childId);\n    }\n  });\n\n  const leftTree = leftChildren.length > 0 ? buildSubTree(leftChildren, children, nodeMap) : null;\n\n  const rightTree =\n    rightChildren.length > 0 ? buildSubTree(rightChildren, children, nodeMap) : null;\n\n  return { leftTree, rightTree, rootNode };\n}\n\n/**\n * Build a subtree from a list of root children\n * For horizontal trees, we need to transpose width/height since the tree will be rotated 90\u00B0\n */\nfunction buildSubTree(\n  rootChildren: string[],\n  children: Map<string, string[]>,\n  nodeMap: Map<string, Node>\n): TidyTreeNode {\n  const virtualRoot: TidyTreeNode = {\n    id: `virtual-root-${Math.random()}`,\n    width: 1,\n    height: 1,\n    children: rootChildren\n      .map((childId) => nodeMap.get(childId))\n      .filter((child): child is Node => child !== undefined)\n      .map((child) => convertNodeToTidyTreeTransposed(child, children, nodeMap)),\n  };\n\n  return virtualRoot;\n}\n\n/**\n * Recursively convert a node and its children to tidy-tree format\n * This version transposes width/height for horizontal tree layout\n */\nfunction convertNodeToTidyTreeTransposed(\n  node: Node,\n  children: Map<string, string[]>,\n  nodeMap: Map<string, Node>\n): TidyTreeNode {\n  const childIds = children.get(node.id) ?? [];\n  const childNodes = childIds\n    .map((childId) => nodeMap.get(childId))\n    .filter((child): child is Node => child !== undefined)\n    .map((child) => convertNodeToTidyTreeTransposed(child, children, nodeMap));\n\n  return {\n    id: node.id,\n    width: node.height ?? 50,\n    height: node.width ?? 100,\n    children: childNodes.length > 0 ? childNodes : undefined,\n    _originalNode: node,\n  };\n}\n/**\n * Combine and position the left and right trees around the root node\n * Creates a bidirectional layout where left tree grows left and right tree grows right\n */\nfunction combineAndPositionTrees(\n  rootNode: TidyTreeNode,\n  leftResult: TidyTreeNode | null,\n  rightResult: TidyTreeNode | null\n): PositionedNode[] {\n  const positionedNodes: PositionedNode[] = [];\n\n  const rootX = 0;\n  const rootY = 0;\n\n  const treeSpacing = rootNode.width / 2 + 30;\n  const leftTreeNodes: PositionedNode[] = [];\n  const rightTreeNodes: PositionedNode[] = [];\n\n  if (leftResult?.children) {\n    positionLeftTreeBidirectional(leftResult.children, leftTreeNodes, rootX - treeSpacing, rootY);\n  }\n\n  if (rightResult?.children) {\n    positionRightTreeBidirectional(\n      rightResult.children,\n      rightTreeNodes,\n      rootX + treeSpacing,\n      rootY\n    );\n  }\n\n  let leftTreeCenterY = 0;\n  let rightTreeCenterY = 0;\n\n  if (leftTreeNodes.length > 0) {\n    const leftTreeXPositions = [...new Set(leftTreeNodes.map((node) => node.x))].sort(\n      (a, b) => b - a\n    );\n    const firstLevelLeftX = leftTreeXPositions[0];\n    const firstLevelLeftNodes = leftTreeNodes.filter((node) => node.x === firstLevelLeftX);\n\n    if (firstLevelLeftNodes.length > 0) {\n      const leftMinY = Math.min(\n        ...firstLevelLeftNodes.map((node) => node.y - (node.height ?? 50) / 2)\n      );\n      const leftMaxY = Math.max(\n        ...firstLevelLeftNodes.map((node) => node.y + (node.height ?? 50) / 2)\n      );\n      leftTreeCenterY = (leftMinY + leftMaxY) / 2;\n    }\n  }\n\n  if (rightTreeNodes.length > 0) {\n    const rightTreeXPositions = [...new Set(rightTreeNodes.map((node) => node.x))].sort(\n      (a, b) => a - b\n    );\n    const firstLevelRightX = rightTreeXPositions[0];\n    const firstLevelRightNodes = rightTreeNodes.filter((node) => node.x === firstLevelRightX);\n\n    if (firstLevelRightNodes.length > 0) {\n      const rightMinY = Math.min(\n        ...firstLevelRightNodes.map((node) => node.y - (node.height ?? 50) / 2)\n      );\n      const rightMaxY = Math.max(\n        ...firstLevelRightNodes.map((node) => node.y + (node.height ?? 50) / 2)\n      );\n      rightTreeCenterY = (rightMinY + rightMaxY) / 2;\n    }\n  }\n\n  const leftTreeOffset = -leftTreeCenterY;\n  const rightTreeOffset = -rightTreeCenterY;\n\n  positionedNodes.push({\n    id: String(rootNode.id),\n    x: rootX,\n    y: rootY + 20,\n    section: 'root',\n    width: rootNode._originalNode?.width ?? rootNode.width,\n    height: rootNode._originalNode?.height ?? rootNode.height,\n    originalNode: rootNode._originalNode,\n  });\n\n  const leftTreeNodesWithOffset = leftTreeNodes.map((node) => ({\n    id: node.id,\n    x: node.x - (node.width ?? 0) / 2,\n    y: node.y + leftTreeOffset + (node.height ?? 0) / 2,\n    section: 'left' as const,\n    width: node.width,\n    height: node.height,\n    originalNode: node.originalNode,\n  }));\n\n  const rightTreeNodesWithOffset = rightTreeNodes.map((node) => ({\n    id: node.id,\n    x: node.x + (node.width ?? 0) / 2,\n    y: node.y + rightTreeOffset + (node.height ?? 0) / 2,\n    section: 'right' as const,\n    width: node.width,\n    height: node.height,\n    originalNode: node.originalNode,\n  }));\n\n  positionedNodes.push(...leftTreeNodesWithOffset);\n  positionedNodes.push(...rightTreeNodesWithOffset);\n\n  return positionedNodes;\n}\n\n/**\n * Position nodes from the left tree in a bidirectional layout (grows to the left)\n * Rotates the tree 90 degrees counterclockwise so it grows horizontally to the left\n */\nfunction positionLeftTreeBidirectional(\n  nodes: TidyTreeNode[],\n  positionedNodes: PositionedNode[],\n  offsetX: number,\n  offsetY: number\n): void {\n  nodes.forEach((node) => {\n    const distanceFromRoot = node.y ?? 0;\n    const verticalPosition = node.x ?? 0;\n\n    const originalWidth = node._originalNode?.width ?? 100;\n    const originalHeight = node._originalNode?.height ?? 50;\n\n    const adjustedY = offsetY + verticalPosition;\n\n    positionedNodes.push({\n      id: String(node.id),\n      x: offsetX - distanceFromRoot,\n      y: adjustedY,\n      width: originalWidth,\n      height: originalHeight,\n      originalNode: node._originalNode,\n    });\n\n    if (node.children) {\n      positionLeftTreeBidirectional(node.children, positionedNodes, offsetX, offsetY);\n    }\n  });\n}\n\n/**\n * Position nodes from the right tree in a bidirectional layout (grows to the right)\n * Rotates the tree 90 degrees clockwise so it grows horizontally to the right\n */\nfunction positionRightTreeBidirectional(\n  nodes: TidyTreeNode[],\n  positionedNodes: PositionedNode[],\n  offsetX: number,\n  offsetY: number\n): void {\n  nodes.forEach((node) => {\n    const distanceFromRoot = node.y ?? 0;\n    const verticalPosition = node.x ?? 0;\n\n    const originalWidth = node._originalNode?.width ?? 100;\n    const originalHeight = node._originalNode?.height ?? 50;\n\n    const adjustedY = offsetY + verticalPosition;\n\n    positionedNodes.push({\n      id: String(node.id),\n      x: offsetX + distanceFromRoot,\n      y: adjustedY,\n      width: originalWidth,\n      height: originalHeight,\n      originalNode: node._originalNode,\n    });\n\n    if (node.children) {\n      positionRightTreeBidirectional(node.children, positionedNodes, offsetX, offsetY);\n    }\n  });\n}\n\n/**\n * Calculate the intersection point of a line with a circle\n * @param circle - Circle coordinates and radius\n * @param lineStart - Starting point of the line\n * @param lineEnd - Ending point of the line\n * @returns The intersection point\n */\nfunction computeCircleEdgeIntersection(circle: Bounds, lineStart: Point, lineEnd: Point): Point {\n  const radius = Math.min(circle.width, circle.height) / 2;\n\n  const dx = lineEnd.x - lineStart.x;\n  const dy = lineEnd.y - lineStart.y;\n  const length = Math.sqrt(dx * dx + dy * dy);\n\n  if (length === 0) {\n    return lineStart;\n  }\n\n  const nx = dx / length;\n  const ny = dy / length;\n\n  return {\n    x: circle.x - nx * radius,\n    y: circle.y - ny * radius,\n  };\n}\n\nfunction intersection(node: PositionedNode, outsidePoint: Point, insidePoint: Point): Point {\n  const x = node.x;\n  const y = node.y;\n\n  if (!node.width || !node.height) {\n    return { x: outsidePoint.x, y: outsidePoint.y };\n  }\n  const dx = Math.abs(x - insidePoint.x);\n  const w = node?.width / 2;\n  let r = insidePoint.x < outsidePoint.x ? w - dx : w + dx;\n  const h = node.height / 2;\n\n  const Q = Math.abs(outsidePoint.y - insidePoint.y);\n  const R = Math.abs(outsidePoint.x - insidePoint.x);\n\n  if (Math.abs(y - outsidePoint.y) * w > Math.abs(x - outsidePoint.x) * h) {\n    // Intersection is top or bottom of rect.\n    const q = insidePoint.y < outsidePoint.y ? outsidePoint.y - h - y : y - h - outsidePoint.y;\n    r = (R * q) / Q;\n    const res = {\n      x: insidePoint.x < outsidePoint.x ? insidePoint.x + r : insidePoint.x - R + r,\n      y: insidePoint.y < outsidePoint.y ? insidePoint.y + Q - q : insidePoint.y - Q + q,\n    };\n\n    if (r === 0) {\n      res.x = outsidePoint.x;\n      res.y = outsidePoint.y;\n    }\n    if (R === 0) {\n      res.x = outsidePoint.x;\n    }\n    if (Q === 0) {\n      res.y = outsidePoint.y;\n    }\n\n    return res;\n  } else {\n    if (insidePoint.x < outsidePoint.x) {\n      r = outsidePoint.x - w - x;\n    } else {\n      r = x - w - outsidePoint.x;\n    }\n    const q = (Q * r) / R;\n    let _x = insidePoint.x < outsidePoint.x ? insidePoint.x + R - r : insidePoint.x - R + r;\n    let _y = insidePoint.y < outsidePoint.y ? insidePoint.y + q : insidePoint.y - q;\n\n    if (r === 0) {\n      _x = outsidePoint.x;\n      _y = outsidePoint.y;\n    }\n    if (R === 0) {\n      _x = outsidePoint.x;\n    }\n    if (Q === 0) {\n      _y = outsidePoint.y;\n    }\n\n    return { x: _x, y: _y };\n  }\n}\n\n/**\n * Calculate edge positions based on positioned nodes\n * Now includes tree membership and node dimensions for precise edge calculations\n * Edges now stop at shape boundaries instead of extending to centers\n */\nfunction calculateEdgePositions(\n  edges: Edge[],\n  positionedNodes: PositionedNode[],\n  intersectionShift: number\n): PositionedEdge[] {\n  const nodeInfo = new Map<string, PositionedNode>();\n  positionedNodes.forEach((node) => {\n    nodeInfo.set(node.id, node);\n  });\n\n  return edges.map((edge) => {\n    const sourceNode = nodeInfo.get(edge.start ?? '');\n    const targetNode = nodeInfo.get(edge.end ?? '');\n\n    if (!sourceNode || !targetNode) {\n      return {\n        id: edge.id,\n        source: edge.start ?? '',\n        target: edge.end ?? '',\n        startX: 0,\n        startY: 0,\n        midX: 0,\n        midY: 0,\n        endX: 0,\n        endY: 0,\n        points: [{ x: 0, y: 0 }],\n        sourceSection: undefined,\n        targetSection: undefined,\n        sourceWidth: undefined,\n        sourceHeight: undefined,\n        targetWidth: undefined,\n        targetHeight: undefined,\n      };\n    }\n\n    const sourceCenter = { x: sourceNode.x, y: sourceNode.y };\n    const targetCenter = { x: targetNode.x, y: targetNode.y };\n\n    const isSourceRound = ['circle', 'cloud', 'bang'].includes(\n      sourceNode.originalNode?.shape ?? ''\n    );\n    const isTargetRound = ['circle', 'cloud', 'bang'].includes(\n      targetNode.originalNode?.shape ?? 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Insert nodes into DOM to get their actual dimensions\n * 2. Run the bidirectional tidy-tree layout algorithm to calculate positions\n * 3. Position the nodes and edges based on layout results\n *\n * The bidirectional layout creates two trees that grow horizontally in opposite\n * directions from a central root node:\n * - Left tree: grows horizontally to the left (children: 1st, 3rd, 5th...)\n * - Right tree: grows horizontally to the right (children: 2nd, 4th, 6th...)\n */\nexport const render = async (\n  data4Layout: LayoutData,\n  svg: SVG,\n  {\n    insertCluster,\n    insertEdge,\n    insertEdgeLabel,\n    insertMarkers,\n    insertNode,\n    log,\n    positionEdgeLabel,\n  }: InternalHelpers,\n  { algorithm: _algorithm }: RenderOptions\n) => {\n  const nodeDb: Record<string, NodeWithPosition> = {};\n  const clusterDb: Record<string, any> = {};\n\n  const element = svg.select('g');\n  insertMarkers(element, data4Layout.markers, data4Layout.type, data4Layout.diagramId);\n\n  const subGraphsEl = element.insert('g').attr('class', 'subgraphs');\n  const edgePaths = element.insert('g').attr('class', 'edgePaths');\n  const edgeLabels = element.insert('g').attr('class', 'edgeLabels');\n  const nodes = element.insert('g').attr('class', 'nodes');\n  // Step 1: Insert nodes into DOM to get their actual dimensions\n  log.debug('Inserting nodes into DOM for dimension calculation');\n\n  await Promise.all(\n    data4Layout.nodes.map(async (node) => {\n      if (node.isGroup) {\n        const clusterNode: NodeWithPosition = {\n          ...node,\n          id: node.id,\n          width: node.width,\n          height: node.height,\n        };\n        clusterDb[node.id] = clusterNode;\n        nodeDb[node.id] = clusterNode;\n\n        await insertCluster(subGraphsEl, node);\n      } else {\n        const nodeWithPosition: NodeWithPosition = {\n          ...node,\n          id: node.id,\n          width: node.width,\n          height: node.height,\n        };\n        nodeDb[node.id] = nodeWithPosition;\n\n        const nodeEl = await insertNode(nodes, node, {\n          config: data4Layout.config,\n          dir: data4Layout.direction || 'TB',\n        });\n\n        const boundingBox = nodeEl.node()!.getBBox();\n        nodeWithPosition.width = boundingBox.width;\n        nodeWithPosition.height = boundingBox.height;\n        nodeWithPosition.domId = nodeEl;\n\n        log.debug(`Node ${node.id} dimensions: ${boundingBox.width}x${boundingBox.height}`);\n      }\n    })\n  );\n  // Step 2: Run the bidirectional tidy-tree layout algorithm\n  log.debug('Running bidirectional tidy-tree layout algorithm');\n\n  const updatedLayoutData = {\n    ...data4Layout,\n    nodes: data4Layout.nodes.map((node) => {\n      const nodeWithDimensions = nodeDb[node.id];\n      return {\n        ...node,\n        width: nodeWithDimensions.width ?? node.width ?? 100,\n        height: nodeWithDimensions.height ?? node.height ?? 50,\n      };\n    }),\n  };\n\n  const layoutResult = await executeTidyTreeLayout(updatedLayoutData);\n  // Step 3: Position the nodes based on bidirectional layout results\n  log.debug('Positioning nodes based on bidirectional layout results');\n\n  layoutResult.nodes.forEach((positionedNode) => {\n    const node = nodeDb[positionedNode.id];\n    if (node?.domId) {\n      // Position the node at the calculated coordinates from bidirectional layout\n      // The layout algorithm has already calculated positions for:\n      // - Root node at center (0, 0)\n      // - Left tree nodes with negative x coordinates (growing left)\n      // - Right tree nodes with positive x coordinates (growing right)\n      node.domId.attr('transform', `translate(${positionedNode.x}, ${positionedNode.y})`);\n      // Store the final position\n      node.x = positionedNode.x;\n      node.y = positionedNode.y;\n      // Step 3: Position the nodes based on bidirectional layout results\n      log.debug(`Positioned node ${node.id} at (${positionedNode.x}, ${positionedNode.y})`);\n    }\n  });\n\n  log.debug('Inserting and positioning edges');\n\n  await Promise.all(\n    data4Layout.edges.map(async (edge) => {\n      await insertEdgeLabel(edgeLabels, edge);\n\n      const startNode = nodeDb[edge.start ?? ''];\n      const endNode = nodeDb[edge.end ?? ''];\n\n      if (startNode && endNode) {\n        const positionedEdge = layoutResult.edges.find((e) => e.id === edge.id);\n\n        if (positionedEdge) {\n          log.debug('APA01 positionedEdge', positionedEdge);\n          const edgeWithPath = {\n            ...edge,\n            points: positionedEdge.points,\n          };\n          const paths = insertEdge(\n            edgePaths,\n            edgeWithPath,\n            clusterDb,\n            data4Layout.type,\n            startNode,\n            endNode,\n            data4Layout.diagramId\n          );\n\n          positionEdgeLabel(edgeWithPath, paths);\n        } else {\n          const edgeWithPath = {\n            ...edge,\n            points: [\n              { x: startNode.x ?? 0, y: startNode.y ?? 0 },\n              { x: endNode.x ?? 0, y: endNode.y ?? 0 },\n            ],\n          };\n\n          const paths = insertEdge(\n            edgePaths,\n            edgeWithPath,\n            clusterDb,\n            data4Layout.type,\n            startNode,\n            endNode,\n            data4Layout.diagramId\n          );\n          positionEdgeLabel(edgeWithPath, paths);\n        }\n      }\n    })\n  );\n\n  log.debug('Bidirectional tidy-tree rendering completed');\n};\n"],
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