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