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21 changes: 21 additions & 0 deletions data_structures/binary_tree/binary_tree_path_sum.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -50,6 +50,27 @@ class BinaryTreePathSum:
>>> tree.right.right = Node(10)
>>> BinaryTreePathSum().path_sum(tree, 8)
2
>>> BinaryTreePathSum().path_sum(None, 0)
0
>>> BinaryTreePathSum().path_sum(tree, 0)
0

The second tree looks like this
0
/ \
5 5

>>> tree2 = Node(0)
>>> tree2.left = Node(5)
>>> tree2.right = Node(15)

>>> BinaryTreePathSum().path_sum(tree2, 5)
2
>>> BinaryTreePathSum().path_sum(tree2, -1)
0
>>> BinaryTreePathSum().path_sum(tree2, 0)
1

"""

target: int
Expand Down
88 changes: 88 additions & 0 deletions data_structures/binary_tree/invert_binary_tree.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,88 @@
"""
Given the root of a binary tree, invert the tree and return its root.

Leetcode: https://leetcode.com/problems/invert-binary-tree/description/

If n is the number of nodes in the tree, then:
Time complexity: O(n) as every subtree needs to be mirrored, we visit each node once.

Space complexity: O(h) where h is the height of the tree. This recursive algorithm
uses the space of the stack which can grow to the height of the binary tree.
The space complexity will be O(n log n) for a binary tree and O(n) for a skewed tree.
"""

from __future__ import annotations
from dataclasses import dataclass

@dataclass
class TreeNode:
"""
A TreeNode has a data variable and pointers to TreeNode objects for its left and right children.
"""

def __init__(self, data: int) -> None:
self.data = data
self.left: TreeNode | None = None
self.right: TreeNode | None = None


class MirrorBinaryTree:
def invert_binary_tree(self, root : TreeNode):
"""
Invert a binary tree and return the new root.

Returns the root of the mirrored binary tree.

>>> tree = TreeNode(0)
>>> tree.left = TreeNode(10)
>>> tree.right = TreeNode(20)
>>> result_tree = MirrorBinaryTree().invert_binary_tree(tree)
>>> print_preorder(result_tree)
0
20
10
>>> tree2 = TreeNode(9)
>>> result_tree2 = MirrorBinaryTree().invert_binary_tree(tree2)
>>> print_preorder(result_tree2)
9
"""

if not root:
return None

if root.left:
self.invert_binary_tree(root.left)

if root.right:
self.invert_binary_tree(root.right)

root.left, root.right = root.right, root.left

return root

def print_preorder(root: TreeNode | None) -> None:
"""
Print pre-order traversal of the tree .

>>> root = TreeNode(1)
>>> root.left = TreeNode(2)
>>> root.right = TreeNode(3)
>>> print_preorder(root)
1
2
3
>>> print_preorder(root.right)
3
"""
if not root:
return None
if root:
print(root.data)
print_preorder(root.left)
print_preorder(root.right)


if __name__ == "__main__":
import doctest
doctest.testmod()

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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21 changes: 21 additions & 0 deletions data_structures/binary_tree/binary_tree_path_sum.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -50,6 +50,27 @@ class BinaryTreePathSum:
>>> tree.right.right = Node(10)
>>> BinaryTreePathSum().path_sum(tree, 8)
2
>>> BinaryTreePathSum().path_sum(None, 0)
0
>>> BinaryTreePathSum().path_sum(tree, 0)
0

The second tree looks like this
0
/ \
5 5

>>> tree2 = Node(0)
>>> tree2.left = Node(5)
>>> tree2.right = Node(15)

>>> BinaryTreePathSum().path_sum(tree2, 5)
2
>>> BinaryTreePathSum().path_sum(tree2, -1)
0
>>> BinaryTreePathSum().path_sum(tree2, 0)
1

"""

target: int
Expand Down
88 changes: 88 additions & 0 deletions data_structures/binary_tree/invert_binary_tree.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,88 @@
"""
Given the root of a binary tree, invert the tree and return its root.

Leetcode: https://leetcode.com/problems/invert-binary-tree/description/

If n is the number of nodes in the tree, then:
Time complexity: O(n) as every subtree needs to be mirrored, we visit each node once.

Space complexity: O(h) where h is the height of the tree. This recursive algorithm
uses the space of the stack which can grow to the height of the binary tree.
The space complexity will be O(n log n) for a binary tree and O(n) for a skewed tree.
"""

from __future__ import annotations
from dataclasses import dataclass

@dataclass
class TreeNode:
"""
A TreeNode has a data variable and pointers to TreeNode objects for its left and right children.
"""

def __init__(self, data: int) -> None:
self.data = data
self.left: TreeNode | None = None
self.right: TreeNode | None = None


class MirrorBinaryTree:
def invert_binary_tree(self, root : TreeNode):
"""
Invert a binary tree and return the new root.

Returns the root of the mirrored binary tree.

>>> tree = TreeNode(0)
>>> tree.left = TreeNode(10)
>>> tree.right = TreeNode(20)
>>> result_tree = MirrorBinaryTree().invert_binary_tree(tree)
>>> print_preorder(result_tree)
0
20
10
>>> tree2 = TreeNode(9)
>>> result_tree2 = MirrorBinaryTree().invert_binary_tree(tree2)
>>> print_preorder(result_tree2)
9
"""

if not root:
return None

if root.left:
self.invert_binary_tree(root.left)

if root.right:
self.invert_binary_tree(root.right)

root.left, root.right = root.right, root.left

return root

def print_preorder(root: TreeNode | None) -> None:
"""
Print pre-order traversal of the tree .

>>> root = TreeNode(1)
>>> root.left = TreeNode(2)
>>> root.right = TreeNode(3)
>>> print_preorder(root)
1
2
3
>>> print_preorder(root.right)
3
"""
if not root:
return None
if root:
print(root.data)
print_preorder(root.left)
print_preorder(root.right)


if __name__ == "__main__":
import doctest
doctest.testmod()

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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21 changes: 21 additions & 0 deletions data_structures/binary_tree/binary_tree_path_sum.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -50,6 +50,27 @@ class BinaryTreePathSum:
>>> tree.right.right = Node(10)
>>> BinaryTreePathSum().path_sum(tree, 8)
2
>>> BinaryTreePathSum().path_sum(None, 0)
0
>>> BinaryTreePathSum().path_sum(tree, 0)
0

The second tree looks like this
0
/ \
5 5

>>> tree2 = Node(0)
>>> tree2.left = Node(5)
>>> tree2.right = Node(15)

>>> BinaryTreePathSum().path_sum(tree2, 5)
2
>>> BinaryTreePathSum().path_sum(tree2, -1)
0
>>> BinaryTreePathSum().path_sum(tree2, 0)
1

"""

target: int
Expand Down
88 changes: 88 additions & 0 deletions data_structures/binary_tree/invert_binary_tree.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,88 @@
"""
Given the root of a binary tree, invert the tree and return its root.

Leetcode: https://leetcode.com/problems/invert-binary-tree/description/

If n is the number of nodes in the tree, then:
Time complexity: O(n) as every subtree needs to be mirrored, we visit each node once.

Space complexity: O(h) where h is the height of the tree. This recursive algorithm
uses the space of the stack which can grow to the height of the binary tree.
The space complexity will be O(n log n) for a binary tree and O(n) for a skewed tree.
"""

from __future__ import annotations
from dataclasses import dataclass

@dataclass
class TreeNode:
"""
A TreeNode has a data variable and pointers to TreeNode objects for its left and right children.
"""

def __init__(self, data: int) -> None:
self.data = data
self.left: TreeNode | None = None
self.right: TreeNode | None = None


class MirrorBinaryTree:
def invert_binary_tree(self, root : TreeNode):
"""
Invert a binary tree and return the new root.

Returns the root of the mirrored binary tree.

>>> tree = TreeNode(0)
>>> tree.left = TreeNode(10)
>>> tree.right = TreeNode(20)
>>> result_tree = MirrorBinaryTree().invert_binary_tree(tree)
>>> print_preorder(result_tree)
0
20
10
>>> tree2 = TreeNode(9)
>>> result_tree2 = MirrorBinaryTree().invert_binary_tree(tree2)
>>> print_preorder(result_tree2)
9
"""

if not root:
return None

if root.left:
self.invert_binary_tree(root.left)

if root.right:
self.invert_binary_tree(root.right)

root.left, root.right = root.right, root.left

return root

def print_preorder(root: TreeNode | None) -> None:
"""
Print pre-order traversal of the tree .

>>> root = TreeNode(1)
>>> root.left = TreeNode(2)
>>> root.right = TreeNode(3)
>>> print_preorder(root)
1
2
3
>>> print_preorder(root.right)
3
"""
if not root:
return None
if root:
print(root.data)
print_preorder(root.left)
print_preorder(root.right)


if __name__ == "__main__":
import doctest
doctest.testmod()

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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21 changes: 21 additions & 0 deletions data_structures/binary_tree/binary_tree_path_sum.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -50,6 +50,27 @@ class BinaryTreePathSum:
>>> tree.right.right = Node(10)
>>> BinaryTreePathSum().path_sum(tree, 8)
2
>>> BinaryTreePathSum().path_sum(None, 0)
0
>>> BinaryTreePathSum().path_sum(tree, 0)
0

The second tree looks like this
0
/ \
5 5

>>> tree2 = Node(0)
>>> tree2.left = Node(5)
>>> tree2.right = Node(15)

>>> BinaryTreePathSum().path_sum(tree2, 5)
2
>>> BinaryTreePathSum().path_sum(tree2, -1)
0
>>> BinaryTreePathSum().path_sum(tree2, 0)
1

"""

target: int
Expand Down
88 changes: 88 additions & 0 deletions data_structures/binary_tree/invert_binary_tree.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,88 @@
"""
Given the root of a binary tree, invert the tree and return its root.

Leetcode: https://leetcode.com/problems/invert-binary-tree/description/

If n is the number of nodes in the tree, then:
Time complexity: O(n) as every subtree needs to be mirrored, we visit each node once.

Space complexity: O(h) where h is the height of the tree. This recursive algorithm
uses the space of the stack which can grow to the height of the binary tree.
The space complexity will be O(n log n) for a binary tree and O(n) for a skewed tree.
"""

from __future__ import annotations
from dataclasses import dataclass

@dataclass
class TreeNode:
"""
A TreeNode has a data variable and pointers to TreeNode objects for its left and right children.
"""

def __init__(self, data: int) -> None:
self.data = data
self.left: TreeNode | None = None
self.right: TreeNode | None = None


class MirrorBinaryTree:
def invert_binary_tree(self, root : TreeNode):
"""
Invert a binary tree and return the new root.

Returns the root of the mirrored binary tree.

>>> tree = TreeNode(0)
>>> tree.left = TreeNode(10)
>>> tree.right = TreeNode(20)
>>> result_tree = MirrorBinaryTree().invert_binary_tree(tree)
>>> print_preorder(result_tree)
0
20
10
>>> tree2 = TreeNode(9)
>>> result_tree2 = MirrorBinaryTree().invert_binary_tree(tree2)
>>> print_preorder(result_tree2)
9
"""

if not root:
return None

if root.left:
self.invert_binary_tree(root.left)

if root.right:
self.invert_binary_tree(root.right)

root.left, root.right = root.right, root.left

return root

def print_preorder(root: TreeNode | None) -> None:
"""
Print pre-order traversal of the tree .

>>> root = TreeNode(1)
>>> root.left = TreeNode(2)
>>> root.right = TreeNode(3)
>>> print_preorder(root)
1
2
3
>>> print_preorder(root.right)
3
"""
if not root:
return None
if root:
print(root.data)
print_preorder(root.left)
print_preorder(root.right)


if __name__ == "__main__":
import doctest
doctest.testmod()

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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21 changes: 21 additions & 0 deletions data_structures/binary_tree/binary_tree_path_sum.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -50,6 +50,27 @@ class BinaryTreePathSum:
>>> tree.right.right = Node(10)
>>> BinaryTreePathSum().path_sum(tree, 8)
2
>>> BinaryTreePathSum().path_sum(None, 0)
0
>>> BinaryTreePathSum().path_sum(tree, 0)
0

The second tree looks like this
0
/ \
5 5

>>> tree2 = Node(0)
>>> tree2.left = Node(5)
>>> tree2.right = Node(15)

>>> BinaryTreePathSum().path_sum(tree2, 5)
2
>>> BinaryTreePathSum().path_sum(tree2, -1)
0
>>> BinaryTreePathSum().path_sum(tree2, 0)
1

"""

target: int
Expand Down
88 changes: 88 additions & 0 deletions data_structures/binary_tree/invert_binary_tree.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,88 @@
"""
Given the root of a binary tree, invert the tree and return its root.

Leetcode: https://leetcode.com/problems/invert-binary-tree/description/

If n is the number of nodes in the tree, then:
Time complexity: O(n) as every subtree needs to be mirrored, we visit each node once.

Space complexity: O(h) where h is the height of the tree. This recursive algorithm
uses the space of the stack which can grow to the height of the binary tree.
The space complexity will be O(n log n) for a binary tree and O(n) for a skewed tree.
"""

from __future__ import annotations
from dataclasses import dataclass

@dataclass
class TreeNode:
"""
A TreeNode has a data variable and pointers to TreeNode objects for its left and right children.
"""

def __init__(self, data: int) -> None:
self.data = data
self.left: TreeNode | None = None
self.right: TreeNode | None = None


class MirrorBinaryTree:
def invert_binary_tree(self, root : TreeNode):
"""
Invert a binary tree and return the new root.

Returns the root of the mirrored binary tree.

>>> tree = TreeNode(0)
>>> tree.left = TreeNode(10)
>>> tree.right = TreeNode(20)
>>> result_tree = MirrorBinaryTree().invert_binary_tree(tree)
>>> print_preorder(result_tree)
0
20
10
>>> tree2 = TreeNode(9)
>>> result_tree2 = MirrorBinaryTree().invert_binary_tree(tree2)
>>> print_preorder(result_tree2)
9
"""

if not root:
return None

if root.left:
self.invert_binary_tree(root.left)

if root.right:
self.invert_binary_tree(root.right)

root.left, root.right = root.right, root.left

return root

def print_preorder(root: TreeNode | None) -> None:
"""
Print pre-order traversal of the tree .

>>> root = TreeNode(1)
>>> root.left = TreeNode(2)
>>> root.right = TreeNode(3)
>>> print_preorder(root)
1
2
3
>>> print_preorder(root.right)
3
"""
if not root:
return None
if root:
print(root.data)
print_preorder(root.left)
print_preorder(root.right)


if __name__ == "__main__":
import doctest
doctest.testmod()

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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21 changes: 21 additions & 0 deletions data_structures/binary_tree/binary_tree_path_sum.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -50,6 +50,27 @@ class BinaryTreePathSum:
>>> tree.right.right = Node(10)
>>> BinaryTreePathSum().path_sum(tree, 8)
2
>>> BinaryTreePathSum().path_sum(None, 0)
0
>>> BinaryTreePathSum().path_sum(tree, 0)
0

The second tree looks like this
0
/ \
5 5

>>> tree2 = Node(0)
>>> tree2.left = Node(5)
>>> tree2.right = Node(15)

>>> BinaryTreePathSum().path_sum(tree2, 5)
2
>>> BinaryTreePathSum().path_sum(tree2, -1)
0
>>> BinaryTreePathSum().path_sum(tree2, 0)
1

"""

target: int
Expand Down
88 changes: 88 additions & 0 deletions data_structures/binary_tree/invert_binary_tree.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,88 @@
"""
Given the root of a binary tree, invert the tree and return its root.

Leetcode: https://leetcode.com/problems/invert-binary-tree/description/

If n is the number of nodes in the tree, then:
Time complexity: O(n) as every subtree needs to be mirrored, we visit each node once.

Space complexity: O(h) where h is the height of the tree. This recursive algorithm
uses the space of the stack which can grow to the height of the binary tree.
The space complexity will be O(n log n) for a binary tree and O(n) for a skewed tree.
"""

from __future__ import annotations
from dataclasses import dataclass

@dataclass
class TreeNode:
"""
A TreeNode has a data variable and pointers to TreeNode objects for its left and right children.
"""

def __init__(self, data: int) -> None:
self.data = data
self.left: TreeNode | None = None
self.right: TreeNode | None = None


class MirrorBinaryTree:
def invert_binary_tree(self, root : TreeNode):
"""
Invert a binary tree and return the new root.

Returns the root of the mirrored binary tree.

>>> tree = TreeNode(0)
>>> tree.left = TreeNode(10)
>>> tree.right = TreeNode(20)
>>> result_tree = MirrorBinaryTree().invert_binary_tree(tree)
>>> print_preorder(result_tree)
0
20
10
>>> tree2 = TreeNode(9)
>>> result_tree2 = MirrorBinaryTree().invert_binary_tree(tree2)
>>> print_preorder(result_tree2)
9
"""

if not root:
return None

if root.left:
self.invert_binary_tree(root.left)

if root.right:
self.invert_binary_tree(root.right)

root.left, root.right = root.right, root.left

return root

def print_preorder(root: TreeNode | None) -> None:
"""
Print pre-order traversal of the tree .

>>> root = TreeNode(1)
>>> root.left = TreeNode(2)
>>> root.right = TreeNode(3)
>>> print_preorder(root)
1
2
3
>>> print_preorder(root.right)
3
"""
if not root:
return None
if root:
print(root.data)
print_preorder(root.left)
print_preorder(root.right)


if __name__ == "__main__":
import doctest
doctest.testmod()

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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21 changes: 21 additions & 0 deletions data_structures/binary_tree/binary_tree_path_sum.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -50,6 +50,27 @@ class BinaryTreePathSum:
>>> tree.right.right = Node(10)
>>> BinaryTreePathSum().path_sum(tree, 8)
2
>>> BinaryTreePathSum().path_sum(None, 0)
0
>>> BinaryTreePathSum().path_sum(tree, 0)
0

The second tree looks like this
0
/ \
5 5

>>> tree2 = Node(0)
>>> tree2.left = Node(5)
>>> tree2.right = Node(15)

>>> BinaryTreePathSum().path_sum(tree2, 5)
2
>>> BinaryTreePathSum().path_sum(tree2, -1)
0
>>> BinaryTreePathSum().path_sum(tree2, 0)
1

"""

target: int
Expand Down
88 changes: 88 additions & 0 deletions data_structures/binary_tree/invert_binary_tree.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,88 @@
"""
Given the root of a binary tree, invert the tree and return its root.

Leetcode: https://leetcode.com/problems/invert-binary-tree/description/

If n is the number of nodes in the tree, then:
Time complexity: O(n) as every subtree needs to be mirrored, we visit each node once.

Space complexity: O(h) where h is the height of the tree. This recursive algorithm
uses the space of the stack which can grow to the height of the binary tree.
The space complexity will be O(n log n) for a binary tree and O(n) for a skewed tree.
"""

from __future__ import annotations
from dataclasses import dataclass

@dataclass
class TreeNode:
"""
A TreeNode has a data variable and pointers to TreeNode objects for its left and right children.
"""

def __init__(self, data: int) -> None:
self.data = data
self.left: TreeNode | None = None
self.right: TreeNode | None = None


class MirrorBinaryTree:
def invert_binary_tree(self, root : TreeNode):
"""
Invert a binary tree and return the new root.

Returns the root of the mirrored binary tree.

>>> tree = TreeNode(0)
>>> tree.left = TreeNode(10)
>>> tree.right = TreeNode(20)
>>> result_tree = MirrorBinaryTree().invert_binary_tree(tree)
>>> print_preorder(result_tree)
0
20
10
>>> tree2 = TreeNode(9)
>>> result_tree2 = MirrorBinaryTree().invert_binary_tree(tree2)
>>> print_preorder(result_tree2)
9
"""

if not root:
return None

if root.left:
self.invert_binary_tree(root.left)

if root.right:
self.invert_binary_tree(root.right)

root.left, root.right = root.right, root.left

return root

def print_preorder(root: TreeNode | None) -> None:
"""
Print pre-order traversal of the tree .

>>> root = TreeNode(1)
>>> root.left = TreeNode(2)
>>> root.right = TreeNode(3)
>>> print_preorder(root)
1
2
3
>>> print_preorder(root.right)
3
"""
if not root:
return None
if root:
print(root.data)
print_preorder(root.left)
print_preorder(root.right)


if __name__ == "__main__":
import doctest
doctest.testmod()

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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21 changes: 21 additions & 0 deletions data_structures/binary_tree/binary_tree_path_sum.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -50,6 +50,27 @@ class BinaryTreePathSum:
>>> tree.right.right = Node(10)
>>> BinaryTreePathSum().path_sum(tree, 8)
2
>>> BinaryTreePathSum().path_sum(None, 0)
0
>>> BinaryTreePathSum().path_sum(tree, 0)
0

The second tree looks like this
0
/ \
5 5

>>> tree2 = Node(0)
>>> tree2.left = Node(5)
>>> tree2.right = Node(15)

>>> BinaryTreePathSum().path_sum(tree2, 5)
2
>>> BinaryTreePathSum().path_sum(tree2, -1)
0
>>> BinaryTreePathSum().path_sum(tree2, 0)
1

"""

target: int
Expand Down
88 changes: 88 additions & 0 deletions data_structures/binary_tree/invert_binary_tree.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,88 @@
"""
Given the root of a binary tree, invert the tree and return its root.

Leetcode: https://leetcode.com/problems/invert-binary-tree/description/

If n is the number of nodes in the tree, then:
Time complexity: O(n) as every subtree needs to be mirrored, we visit each node once.

Space complexity: O(h) where h is the height of the tree. This recursive algorithm
uses the space of the stack which can grow to the height of the binary tree.
The space complexity will be O(n log n) for a binary tree and O(n) for a skewed tree.
"""

from __future__ import annotations
from dataclasses import dataclass

@dataclass
class TreeNode:
"""
A TreeNode has a data variable and pointers to TreeNode objects for its left and right children.
"""

def __init__(self, data: int) -> None:
self.data = data
self.left: TreeNode | None = None
self.right: TreeNode | None = None


class MirrorBinaryTree:
def invert_binary_tree(self, root : TreeNode):
"""
Invert a binary tree and return the new root.

Returns the root of the mirrored binary tree.

>>> tree = TreeNode(0)
>>> tree.left = TreeNode(10)
>>> tree.right = TreeNode(20)
>>> result_tree = MirrorBinaryTree().invert_binary_tree(tree)
>>> print_preorder(result_tree)
0
20
10
>>> tree2 = TreeNode(9)
>>> result_tree2 = MirrorBinaryTree().invert_binary_tree(tree2)
>>> print_preorder(result_tree2)
9
"""

if not root:
return None

if root.left:
self.invert_binary_tree(root.left)

if root.right:
self.invert_binary_tree(root.right)

root.left, root.right = root.right, root.left

return root

def print_preorder(root: TreeNode | None) -> None:
"""
Print pre-order traversal of the tree .

>>> root = TreeNode(1)
>>> root.left = TreeNode(2)
>>> root.right = TreeNode(3)
>>> print_preorder(root)
1
2
3
>>> print_preorder(root.right)
3
"""
if not root:
return None
if root:
print(root.data)
print_preorder(root.left)
print_preorder(root.right)


if __name__ == "__main__":
import doctest
doctest.testmod()