Class Node
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public final class Node427 - Construct Quad Tree.
Medium
Given a
n * nmatrixgridof0'sand1'sonly. We want to represent thegridwith a Quad-Tree.Return the root of the Quad-Tree representing the
grid.Notice that you can assign the value of a node to True or False when
isLeafis False , and both are accepted in the answer.A Quad-Tree is a tree data structure in which each internal node has exactly four children. Besides, each node has two attributes:
val: True if the node represents a grid of 1's or False if the node represents a grid of 0's.isLeaf: True if the node is leaf node on the tree or False if the node has the four children.
class Node { public boolean val; public boolean isLeaf; public Node topLeft; public Node topRight; public Node bottomLeft; public Node bottomRight; }
We can construct a Quad-Tree from a two-dimensional area using the following steps:
If the current grid has the same value (i.e all
1'sor all0's) setisLeafTrue and setvalto the value of the grid and set the four children to Null and stop.If the current grid has different values, set
isLeafto False and setvalto any value and divide the current grid into four sub-grids as shown in the photo.Recurse for each of the children with the proper sub-grid.
If you want to know more about the Quad-Tree, you can refer to the wiki.
Quad-Tree format:
The output represents the serialized format of a Quad-Tree using level order traversal, where
nullsignifies a path terminator where no node exists below.It is very similar to the serialization of the binary tree. The only difference is that the node is represented as a list
[isLeaf, val].If the value of
isLeaforvalis True we represent it as 1 in the list[isLeaf, val]and if the value ofisLeaforvalis False we represent it as 0.Example 1:
Input: grid = [0,1,1,0]
Output: [0,1,1,0,1,1,1,1,1,0]
Explanation: The explanation of this example is shown below: Notice that 0 represnts False and 1 represents True in the photo representing the Quad-Tree.
Example 2:
Input: grid =
[[1,1,1,1,0,0,0,0], [1,1,1,1,0,0,0,0], [1,1,1,1,1,1,1,1], [1,1,1,1,1,1,1,1], [1,1,1,1,0,0,0,0], [1,1,1,1,0,0,0,0], [1,1,1,1,0,0,0,0], [1,1,1,1,0,0,0,0]]Output: [0,1,1,1,0,1,1,1,1,0,null,null,null,null,1,0,1,0,1,1,1,1]
Explanation: All values in the grid are not the same. We divide the grid into four sub-grids. The topLeft, bottomLeft and bottomRight each has the same value. The topRight have different values so we divide it into 4 sub-grids where each has the same value. Explanation is shown in the photo below:
Constraints:
n == grid.length == grid[i].length<code>n == 2<sup>x</sup></code> where
0 <= x <= 6
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Method Summary
Modifier and Type Method Description final NodegetTopLeft()final UnitsetTopLeft(Node topLeft)final NodegetTopRight()final UnitsetTopRight(Node topRight)final NodegetBottomLeft()final UnitsetBottomLeft(Node bottomLeft)final NodegetBottomRight()final UnitsetBottomRight(Node bottomRight)final BooleangetVal()final UnitsetVal(Boolean val)final BooleanisLeaf()final UnitsetLeaf(Boolean isLeaf)StringtoString()-
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Method Detail
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getTopLeft
final Node getTopLeft()
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setTopLeft
final Unit setTopLeft(Node topLeft)
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getTopRight
final Node getTopRight()
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setTopRight
final Unit setTopRight(Node topRight)
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getBottomLeft
final Node getBottomLeft()
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setBottomLeft
final Unit setBottomLeft(Node bottomLeft)
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getBottomRight
final Node getBottomRight()
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setBottomRight
final Unit setBottomRight(Node bottomRight)
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