Swift syntax: 102. Binary Tree Level Order Traversal












0












$begingroup$


This is my solution to 102. Binary Tree Level Order Traversal in Swift




102. Binary Tree Level Order Traversal



Given a binary tree, return the level order traversal of its nodes' values. (ie, from left to right, level by level).




  • For example:


Given binary tree [3,9,20,null,null,15,7],



3



/



9 20



/



15 7



return its level order traversal as:



[



[3],



[9,20],



[15,7]



]




Here is my code:



func levelOrder(_ root: TreeNode?) -> [[Int]] {
guard let root = root else{
return
}
let nodes = recursiveVisit(root)
let capacity = nodes.reduce([Int]()) {
if $0.contains($1.0) == false {
return $0 + [$1.0]
}
return $0
}.count
return nodes.reduce([[Int]](repeating: , count: capacity), {
var tmp = $0
tmp[$1.0].append($1.1)
return tmp
})
}


func recursiveVisit(_ node: TreeNode?) -> [(Int, Int)]{
// [(Int, Int)]
// depth, node.val

guard let node = node else{
return
}

var nodes = [(Int, Int)]()
nodes.append((0, node.val))

let lhs = recursiveVisit(node.left).map {
return ($0.0 + 1, $0.1)
}

let rhs = recursiveVisit(node.right).map {
return ($0.0 + 1, $0.1)
}
nodes.append(contentsOf: lhs)
nodes.append(contentsOf: rhs)
return nodes
}


The solution is very intuitive, collect the nodes' value and depth.Then reduce to the answer.



Not well designed as the Java Solution



My question is mainly on the Swift syntax.



Get the info, first reduce to the count , then reduce to the collection.



Is there any other way to do it more lean? Combine the two reduce to one.









share









$endgroup$

















    0












    $begingroup$


    This is my solution to 102. Binary Tree Level Order Traversal in Swift




    102. Binary Tree Level Order Traversal



    Given a binary tree, return the level order traversal of its nodes' values. (ie, from left to right, level by level).




    • For example:


    Given binary tree [3,9,20,null,null,15,7],



    3



    /



    9 20



    /



    15 7



    return its level order traversal as:



    [



    [3],



    [9,20],



    [15,7]



    ]




    Here is my code:



    func levelOrder(_ root: TreeNode?) -> [[Int]] {
    guard let root = root else{
    return
    }
    let nodes = recursiveVisit(root)
    let capacity = nodes.reduce([Int]()) {
    if $0.contains($1.0) == false {
    return $0 + [$1.0]
    }
    return $0
    }.count
    return nodes.reduce([[Int]](repeating: , count: capacity), {
    var tmp = $0
    tmp[$1.0].append($1.1)
    return tmp
    })
    }


    func recursiveVisit(_ node: TreeNode?) -> [(Int, Int)]{
    // [(Int, Int)]
    // depth, node.val

    guard let node = node else{
    return
    }

    var nodes = [(Int, Int)]()
    nodes.append((0, node.val))

    let lhs = recursiveVisit(node.left).map {
    return ($0.0 + 1, $0.1)
    }

    let rhs = recursiveVisit(node.right).map {
    return ($0.0 + 1, $0.1)
    }
    nodes.append(contentsOf: lhs)
    nodes.append(contentsOf: rhs)
    return nodes
    }


    The solution is very intuitive, collect the nodes' value and depth.Then reduce to the answer.



    Not well designed as the Java Solution



    My question is mainly on the Swift syntax.



    Get the info, first reduce to the count , then reduce to the collection.



    Is there any other way to do it more lean? Combine the two reduce to one.









    share









    $endgroup$















      0












      0








      0





      $begingroup$


      This is my solution to 102. Binary Tree Level Order Traversal in Swift




      102. Binary Tree Level Order Traversal



      Given a binary tree, return the level order traversal of its nodes' values. (ie, from left to right, level by level).




      • For example:


      Given binary tree [3,9,20,null,null,15,7],



      3



      /



      9 20



      /



      15 7



      return its level order traversal as:



      [



      [3],



      [9,20],



      [15,7]



      ]




      Here is my code:



      func levelOrder(_ root: TreeNode?) -> [[Int]] {
      guard let root = root else{
      return
      }
      let nodes = recursiveVisit(root)
      let capacity = nodes.reduce([Int]()) {
      if $0.contains($1.0) == false {
      return $0 + [$1.0]
      }
      return $0
      }.count
      return nodes.reduce([[Int]](repeating: , count: capacity), {
      var tmp = $0
      tmp[$1.0].append($1.1)
      return tmp
      })
      }


      func recursiveVisit(_ node: TreeNode?) -> [(Int, Int)]{
      // [(Int, Int)]
      // depth, node.val

      guard let node = node else{
      return
      }

      var nodes = [(Int, Int)]()
      nodes.append((0, node.val))

      let lhs = recursiveVisit(node.left).map {
      return ($0.0 + 1, $0.1)
      }

      let rhs = recursiveVisit(node.right).map {
      return ($0.0 + 1, $0.1)
      }
      nodes.append(contentsOf: lhs)
      nodes.append(contentsOf: rhs)
      return nodes
      }


      The solution is very intuitive, collect the nodes' value and depth.Then reduce to the answer.



      Not well designed as the Java Solution



      My question is mainly on the Swift syntax.



      Get the info, first reduce to the count , then reduce to the collection.



      Is there any other way to do it more lean? Combine the two reduce to one.









      share









      $endgroup$




      This is my solution to 102. Binary Tree Level Order Traversal in Swift




      102. Binary Tree Level Order Traversal



      Given a binary tree, return the level order traversal of its nodes' values. (ie, from left to right, level by level).




      • For example:


      Given binary tree [3,9,20,null,null,15,7],



      3



      /



      9 20



      /



      15 7



      return its level order traversal as:



      [



      [3],



      [9,20],



      [15,7]



      ]




      Here is my code:



      func levelOrder(_ root: TreeNode?) -> [[Int]] {
      guard let root = root else{
      return
      }
      let nodes = recursiveVisit(root)
      let capacity = nodes.reduce([Int]()) {
      if $0.contains($1.0) == false {
      return $0 + [$1.0]
      }
      return $0
      }.count
      return nodes.reduce([[Int]](repeating: , count: capacity), {
      var tmp = $0
      tmp[$1.0].append($1.1)
      return tmp
      })
      }


      func recursiveVisit(_ node: TreeNode?) -> [(Int, Int)]{
      // [(Int, Int)]
      // depth, node.val

      guard let node = node else{
      return
      }

      var nodes = [(Int, Int)]()
      nodes.append((0, node.val))

      let lhs = recursiveVisit(node.left).map {
      return ($0.0 + 1, $0.1)
      }

      let rhs = recursiveVisit(node.right).map {
      return ($0.0 + 1, $0.1)
      }
      nodes.append(contentsOf: lhs)
      nodes.append(contentsOf: rhs)
      return nodes
      }


      The solution is very intuitive, collect the nodes' value and depth.Then reduce to the answer.



      Not well designed as the Java Solution



      My question is mainly on the Swift syntax.



      Get the info, first reduce to the count , then reduce to the collection.



      Is there any other way to do it more lean? Combine the two reduce to one.







      programming-challenge swift





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      asked 4 mins ago









      dengAprodengApro

      147110




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