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How to use preorder method in avocado

Best Python code snippet using avocado_python

tree_from_preorder_inorder.py

Source:tree_from_preorder_inorder.py

1from typing import List2from binary_tree_node import BinaryTreeNode3from test_framework import generic_test4def binary_tree_from_preorder_inorder(preorder: List[int],5                                      inorder: List[int]) -> BinaryTreeNode:6    node_to_inorder_idx = {data: i for i, data in enumerate(inorder)}7    # Builds the subtree with preorder[preorder_start:preorder_end] and8    # inorder[inorder_start:inorder_end].9    def binary_tree_from_preorder_inorder_helper(preorder_start, preorder_end,10                                                 inorder_start, inorder_end):11        if preorder_end <= preorder_start or inorder_end <= inorder_start:12            return None13        root_inorder_idx = node_to_inorder_idx[preorder[preorder_start]]14        left_subtree_size = root_inorder_idx - inorder_start15        return BinaryTreeNode(16            preorder[preorder_start],17            # Recursively builds the left subtree.18            binary_tree_from_preorder_inorder_helper(19                preorder_start + 1, preorder_start + 1 + left_subtree_size,20                inorder_start, root_inorder_idx),21            # Recursively builds the right subtree.22            binary_tree_from_preorder_inorder_helper(23                preorder_start + 1 + left_subtree_size, preorder_end,24                root_inorder_idx + 1, inorder_end))25    return binary_tree_from_preorder_inorder_helper(preorder_start=0,26                                                    preorder_end=len(preorder),27                                                    inorder_start=0,28                                                    inorder_end=len(inorder))29if __name__ == '__main__':30    exit(31        generic_test.generic_test_main('tree_from_preorder_inorder.py',32                                       'tree_from_preorder_inorder.tsv',...

tree_from_preorder_with_null.py

Source:tree_from_preorder_with_null.py

2from typing import List3from binary_tree_node import BinaryTreeNode4from test_framework import generic_test5from test_framework.test_utils import enable_executor_hook6def reconstruct_preorder(preorder: List[int]) -> BinaryTreeNode:7    def reconstruct_preorder_helper(preorder_iter):8        subtree_key = next(preorder_iter)9        if subtree_key is None:10            return None11        # Note that reconstruct_preorder_helper updates preorder_iter. So the12        # order of following two calls are critical.13        left_subtree = reconstruct_preorder_helper(preorder_iter)14        right_subtree = reconstruct_preorder_helper(preorder_iter)15        return BinaryTreeNode(subtree_key, left_subtree, right_subtree)16    return reconstruct_preorder_helper(iter(preorder))17@enable_executor_hook18def reconstruct_preorder_wrapper(executor, data):19    data = [None if x == 'null' else int(x) for x in data]20    return executor.run(functools.partial(reconstruct_preorder, data))...

construct-binary-search-tree-from-preorder-traversal.py

Source:construct-binary-search-tree-from-preorder-traversal.py

1class Solution:2    def bstFromPreorder(self, preorder: List[int]) -> Optional[TreeNode]:3        def makeTree(node, preorder, l, r, idx):4            if idx >= len(preorder) or r < preorder[idx] or preorder[idx] < l: return idx5            if preorder[idx] < node.val:6                nextNode = TreeNode(preorder[idx], None, None)7                node.left = nextNode8                idx = makeTree(nextNode, preorder, l, node.val, idx + 1)9            if idx >= len(preorder) or r < preorder[idx] or preorder[idx] < l: return idx10            if preorder[idx] > node.val:11                nextNode = TreeNode(preorder[idx], None, None)12                node.right = nextNode13                idx = makeTree(nextNode, preorder, node.val, r, idx + 1)14            return idx15        root = TreeNode(preorder[0], None, None)16        makeTree(root, preorder, 0, 10 ** 8 + 1, 1)...

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