This commit is contained in:
2026-06-05 22:18:39 +08:00
parent 0aed1528e2
commit 14d05011d5
7 changed files with 169 additions and 7 deletions
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@@ -1 +1,4 @@
((org-mode . ((org-todo-keywords . ((sequence "TODO" | "DONE" "TOO_EASY")))))) ((org-mode . ((org-todo-keywords . ((sequence "TODO" | "DONE" "TOO_EASY")))
(eval . (let ((lc-el (expand-file-name "lc-org.el" (dir-locals-find-file default-directory))))
(when (and lc-el (file-exists-p lc-el) (not (featurep 'lc-org)))
(load-file lc-el)))))))
+10 -2
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@@ -14,7 +14,12 @@ An Anki-exportable study deck for NeetCode DSA problems.
- Python and C++ solution stubs - Python and C++ solution stubs
- A `NEETCODE` property linking back to the roadmap - A `NEETCODE` property linking back to the roadmap
3. **Study flow** — open roadmap.org, pick a topic, pick a problem, 3. **Toolkit** (`toolkit/`) — your reference library:
- `tricks.org` — flashcards for patterns & tricks (exported to Anki)
- `notes.org` — deep implementation notes with explanations (exported to Anki)
- `suggestions.org` — pattern reference for quick lookup (not exported)
4. **Study flow** — open roadmap.org, pick a topic, pick a problem,
follow the Notes link, solve it, mark it DONE in both places. follow the Notes link, solve it, mark it DONE in both places.
## File Layout ## File Layout
@@ -24,7 +29,10 @@ org/study_deck_02/
├── AGENTS.md ← you are here ├── AGENTS.md ← you are here
├── roadmap.org ← generated by leetcode/extract.mjs ├── roadmap.org ← generated by leetcode/extract.mjs
├── toolkit/ ├── toolkit/
── tricks.org ← common patterns & templates ── tricks.org ← flashcards for patterns & tricks
│ ├── notes.org ← deep implementation notes
│ ├── suggestions.org ← pattern reference (not exported)
│ └── images/ ← diagrams, screenshots
└── dsa/ └── dsa/
├── arrays-hashing/ ├── arrays-hashing/
│ ├── 0217-contains-duplicate.org │ ├── 0217-contains-duplicate.org
@@ -57,6 +57,12 @@ Write your approach here.
#+begin_src python #+begin_src python
class Solution: class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]: def twoSum(self, nums: List[int], target: int) -> List[int]:
sb = {}
for xi, x in enumerate(nums):
want = target - x;
if want in sb:
return sb[want], xi
sb[x] = xi
#+end_src #+end_src
** TODO C++ ** TODO C++
@@ -40,9 +40,11 @@ Given an integer array ~nums~ and an integer ~k~, return /the/ ~k~ /most frequen
Write your approach here. Write your approach here.
** TODO Python ** TODO Python
#+begin_src python #+begin_src python :lc-problem 347 :lc-lang python3
class Solution: class Solution:
def topKFrequent(self, nums: List[int], k: int) -> List[int]: def topKFrequent(self, nums: List[int], k: int) -> List[int]:
from collections import Counter
return [n for n, _ in Counter(nums).most_common(k)]
#+end_src #+end_src
** TODO C++ ** TODO C++
@@ -52,10 +52,40 @@ Write your approach here.
** TODO Python ** TODO Python
#+begin_src python #+begin_src python
from collections import defaultdict as dd
class Solution: class Solution:
def stringMatching(self, words: List[str]) -> List[str]: def stringMatching(self, words: List[str]) -> List[str]:
words = reversed(sorted(words))
def squash(word, trie):
lst = []
for c in word:
lst.append([trie, ''])
for i in range(len(lst)):
lst[i][0] = lst[i][0][c]
lst[i][1] += c
if not lst[i][0]['ads']:
lst[i][0]['ads'] = {lst[i][1]: [word]}
else:
lst[i][0]['ads'][lst[i][1]].append(word)
def in_trie(word, trie):
for c in word:
if c not in trie:
return []
trie = trie[c]
return [(word, bw) for bw in trie['ads'][word]]
trie_maker = lambda: dd(trie_maker)
trie = trie_maker()
ans = []
for s in words:
ans += in_trie(s, trie)
squash(s, trie)
return ans
#+end_src #+end_src
**
** TODO C++ ** TODO C++
#+begin_src cpp #+begin_src cpp
class Solution { class Solution {
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@@ -1,7 +1,7 @@
#+TITLE: NeetCode Roadmap #+TITLE: NeetCode Roadmap
#+ANKI_DECK: study_deck_02 #+ANKI_DECK: study_deck_02
#+DATE: 2026-06-01 #+DATE: 2026-06-01
#+TODO: TODO DONE #+TODO: TODO TOO_EASY DONE
#+STARTUP: overview #+STARTUP: overview
Source: [[https://neetcode.io/roadmap][neetcode.io/roadmap]] Source: [[https://neetcode.io/roadmap][neetcode.io/roadmap]]
@@ -32,7 +32,7 @@ Notes: [[file:dsa/arrays-hashing/0217-contains-duplicate.org]]
*** DONE Python *** DONE Python
*** DONE C++ *** DONE C++
Notes: [[file:dsa/arrays-hashing/0242-valid-anagram.org]] Notes: [[file:dsa/arrays-hashing/0242-valid-anagram.org]]
** TODO 2678. Number of Senior Citizens :easy: ** TOO_EASY 2678. Number of Senior Citizens :easy:
:PROPERTIES: :PROPERTIES:
:LEETCODE: [[https://leetcode.com/problems/number-of-senior-citizens/][Problem]] :LEETCODE: [[https://leetcode.com/problems/number-of-senior-citizens/][Problem]]
:CPP: [[https://github.com/neetcode-gh/leetcode/blob/main/cpp/2678-number-of-senior-citizens.cpp][Solution]] :CPP: [[https://github.com/neetcode-gh/leetcode/blob/main/cpp/2678-number-of-senior-citizens.cpp][Solution]]
@@ -51,7 +51,7 @@ Notes: [[file:dsa/arrays-hashing/2678-number-of-senior-citizens.org]]
:VIDEO: [[https://youtube.com/watch?v=KLlXCFG5TnA][Watch]] :VIDEO: [[https://youtube.com/watch?v=KLlXCFG5TnA][Watch]]
:END: :END:
*** TODO Python *** DONE Python
*** TODO C++ *** TODO C++
Notes: [[file:dsa/arrays-hashing/0001-two-sum.org]] Notes: [[file:dsa/arrays-hashing/0001-two-sum.org]]
** TODO 1408. String Matching in an Array :easy: ** TODO 1408. String Matching in an Array :easy:
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@@ -25,3 +25,116 @@ public:
} }
}; };
#+end_src #+end_src
** Why ~std::array~ over C-style arrays?
*** Type safety
- ~std::array<int, 26>~ carries its size in the type system
- C-style ~int freq[26]~ decays to ~int*~ when passed to functions — size info lost
- ~std::array~ knows its size: ~freq.size()~ always returns 26
*** Value semantics
- ~std::array~ can be copied, assigned, returned from functions like any value
- C arrays decay to pointers, can't be assigned:
#+begin_src cpp
int a[5] = {1,2,3,4,5};
int b[5];
b = a; // ERROR: array type 'int[5]' is not assignable
std::array<int,5> sa = {1,2,3,4,5};
std::array<int,5> sb;
sb = sa; // OK: copies all elements
#+end_src
*** No pointer decay
- C arrays silently decay to ~T*~ in many contexts — source of bugs
- ~std::array~ never decays; pass by reference explicitly: ~void f(const std::array<int,26>& a)~
*** Bounds checking (optional)
- ~.at(i)~ throws ~std::out_of_range~ on bad index
- ~[i]~ is unchecked (same as C array) — zero overhead if you want it
- C arrays have no checked access option
*** Works with STL algorithms
- ~std::all_of~, ~std::sort~, ~std::find~ etc. work directly on ~std::array~
- C arrays need explicit begin/end: ~std::all_of(std::begin(arr), std::end(arr), ...)~
- ~std::array~ has ~.begin()~, ~.end()~, ~.size()~
*** Cons of ~std::array~
- Slightly more verbose syntax: ~std::array<int, 26>~ vs ~int[26]~
- Template parameter required — can't use runtime size (use ~std::vector~ then)
- Compile-time dependency: size must be constexpr
** Why ~std::all_of~?
*** Declarative intent
- "All elements satisfy predicate" — reads like English
- vs manual loop: ~for (int i=0; i<26; i++) if (freq[i]!=0) return false;~ — imperative, more mental parsing
*** Zero overhead
- Compiles to same machine code as hand-written loop
- Optimizer inlines the lambda, unrolls if beneficial
- No performance penalty vs manual loop
*** Composability
- Can chain with other STL: ~std::any_of~, ~std::none_of~, ~std::count_if~
- Lambda can be arbitrarily complex without changing the loop structure
- Easy to swap predicate without restructuring code
*** Cons
- Slightly harder to debug (breakpoint inside lambda vs explicit loop)
- For trivial checks, manual loop may be more readable to some
- Requires ~<algorithm>~ include
** How does the compiler know 26 is okay?
*** Compile-time constant
- 26 is a literal — known at compile time
- Template parameter ~N~ in ~std::array<int, N>~ requires constexpr
- Compiler sees: "allocate space for 26 ints right here, right now"
*** Where does the memory live?
~std::array<int, 26>~ is an aggregate containing ~int data[26]~.
- If local variable → *stack* allocation
- If global/static → *data/bss* segment
- If member of class → wherever the object lives
Stack allocation is just moving the stack pointer:
#+begin_src asm
sub rsp, 104 ; 26 * 4 bytes = 104 bytes
; freq is now at [rsp], zero-initialized by {}
#+end_src
*** Zero-initialization
- ~std::array<int, 26> freq{};~ — value-initialization, all zeros
- Compiler may emit ~memset~ or just zero the stack frame
- C-style ~int freq[26];~ is *uninitialized* — garbage values
- C-style ~int freq[26] = {};~ or ~int freq[26]{};~ also zero-initializes
*** Size is part of the type
- ~std::array<int, 26>~ and ~std::array<int, 27>~ are *different types*
- Can't accidentally mix them — type error at compile time
- C arrays: ~void f(int a[26])~ actually becomes ~void f(int* a)~ — size lost
*** Compile-time evaluation
- ~freq.size()~ is constexpr 26 — no runtime overhead
- Loop ~for (int i = 0; i < 26; i++)~ — compiler may unroll entirely
- With ~constexpr~ arrays, entire computation can happen at compile time
** What about ~std::unordered_map~?
When alphabet is *not* bounded (Unicode, arbitrary keys):
- ~std::map~ — O(log n) per op, ordered, tree-based
- ~std::unordered_map~ — O(1) average, hash table, unordered
For lowercase a-z, neither beats array:
- Array: ~freq[c - 'a']~ — direct index, one memory access
- Map/unordered_map: hash + probe/compare — multiple accesses, branches
** Questions for later
- How does the stack pointer move for arrays of different sizes?
- What's the alignment requirement for ~std::array<int, 26>~?
- Can ~std::array~ be ~constexpr~?
- What about ~std::array~ vs ~std::vector~ for dynamic sizes?
- How does the optimizer decide to unroll the ~all_of~ loop?