Hi👋SpeedAlgo • Deliberate Practice & Cognitive Ergonomics for Software Engineers

An interactive algorithm mastery and technical interview preparation platform published by Hi👋WebEnterprise. Built for senior and staff software engineers preparing for rigorous coding screens at top tech companies (FAANG/MAMAA).

12 Core Algorithmic Patterns & 191 Practice Problems

  • 1. Two Pointers (10 Paradigms, 34 Problems): Opposite ends, sorted pair sums, palindrome verification, trapping rain water, 3Sum, container with most water — includes the Sliding Window and Fast & Slow Pointers paradigms (contiguous subarray invariants, longest substrings, Floyd's cycle detection, linked list middle).
  • 2. Binary Search (9 Paradigms, 14 Problems): Monotonic predicate partitioning (`feasible(x)`), boundary search, rotated sorted arrays, square roots, minimum ship capacity, median of two sorted arrays, matrix median on value range.
  • 3. Bit Manipulation (5 Paradigms, 8 Problems): Counting set bits, XOR cancellation, bit reversal, bitmask pairing, maximum XOR with a bitwise trie.
  • 4. Math & Geometry (7 Paradigms, 13 Problems): Sieve of Eratosthenes, integer/roman conversions, modular arithmetic, geometric simulation.
  • 5. Tree/Graph Depth-First Search (10 Paradigms, 19 Problems): Path sums, lowest common ancestor, tree diameter, validating BSTs, tree DP (House Robber III, Binary Tree Cameras).
  • 6. Tree/Graph Breadth-First Search (4 Paradigms, 11 Problems): Level-order traversals, shortest path in unweighted graphs, zig-zag traversals, rotting oranges, word ladders.
  • 7. Graphs (10 Paradigms, 18 Problems): Topological sort, cycle detection, Dijkstra's algorithm, bipartite graph validation, network delay.
  • 8. Backtracking (6 Paradigms, 14 Problems): Subsets, permutations, combinations, constraint satisfaction, pruning, N-Queens, Sudoku solver.
  • 9. Dynamic Programming (11 Paradigms, 18 Problems): Memoization vs tabulation, 0/1 knapsack, unbounded knapsack, coin change, edit distance, longest common subsequence.
  • 10. Heap / Priority Queue (8 Paradigms, 10 Problems): Running medians, top-k elements, interval scheduling, IPO, k-way merges.
  • 11. Advanced Data Structures (6 Paradigms, 14 Problems): Trie (prefix tree), Union-Find (Disjoint Set Union), LRU Cache, LFU Cache, range-sum queries with updates.
  • 12. Intervals & Stack / Miscellaneous (11 Paradigms, 18 Problems): Merge intervals, daily temperatures, largest rectangle in histogram, trapping rain water via stack.

4-Stage Deliberate Practice Framework

  1. Stage 1 (Compare & Learn): Read the pattern's mental model, loop invariant and Big-O proof, compare the pattern's template with the problem's solution side by side, and use the step-by-step debugger. The solution can also be shown in C#, Java, TypeScript, C++, Go or Rust for almost every problem.
  2. Stage 2 (Active Recall): Rebuild the solution from memory in a code editor, with an invariant checklist and optional progressive hints, and check it against a judged test suite.
  3. Stage 3 (AI Interview Coach, coming soon): A mock-interview stage still in development; for now, students go straight from Stage 2 to Stage 4.
  4. Stage 4 (Solve on Your Own): Solve a new problem on your own against a 15-minute timer; your code is graded against a test suite. Python and TypeScript run in your browser and C# runs on our server (design problems grade in Python and TypeScript).

Equipped with a spaced-repetition review hub on a fixed 7-step schedule (1 day up to 90 days), a two-pane Studio workspace, and study notes.

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Hi👋SpeedAlgo

Invariant-First Algorithmic Mastery

203Items
Theory Context•Binary Search Boundary
MediumLC 3453

Separate Squares I (LeetCode 3453)

You will see how to binary search an answer that is a real number, where there is no next value after mid and the loop must count its rounds.

You get a list of squares on a flat plane. squares[i] = [xi, yi, li] describes a square whose sides run parallel to the axes: its bottom-left corner is at (xi, yi) and each side has length li.

Draw a horizontal line y = h. Part of the squares' total area lies below the line and part lies above it. Find the smallest h for which the two parts are equal. Squares may overlap, and an overlapping region is counted once for every square that covers it.

The answer is a real number: any value within 10^-5 of the true answer is accepted.

Worked Examples

Example 1
Input:squares = [[0,0,1],[2,2,1]]
Output:1.00000
heights each square covers (y to y + l)
square 0, side 1square 1, side 103
Explanation: The first square covers heights 0 to 1 and the second covers 2 to 3. Every line with `1 <= h <= 2` leaves one unit of area on each side, and the lowest of them is `h = 1`.
Example 2
Input:squares = [[0,0,2],[1,1,1]]
Output:1.16667
heights each square covers (y to y + l)
square 0, side 2square 1, side 102
Explanation: The total area is `4 + 1 = 5`, so each side needs `2.5`. At `h = 7/6` the big square has `2 * 7/6 = 7/3` below the line and the small one `1 * 1/6 = 1/6`, together `2.5`, so the answer is `7/6`, about `1.16667`.

⚖️Formal Constraints & Bounds

  • 1 <= squares.length <= 5 * 104

  • squares[i] = [xi, yi, li]

  • squares[i].length == 3

  • 0 <= xi, yi <= 109

  • 1 <= li <= 109

  • The total area of all the squares will not exceed 1012.

Deep-Dive & Conceptual Insights

Why It Works & Core Invariant

Raising the line never removes area from below it, so 2 * part >= total - 2 * full is False for every height below the answer and True from the answer up. lo starts where it fails and hi where it passes, and each round moves one of them onto mid, so the answer never leaves (lo, hi] while the window halves. Heights are real numbers, so neither end can step to mid + 1, and the loop counts 100 rounds instead of waiting for lo and hi to meet.

Real-World Scenario & Production Applications

Splitting a spread-out quantity into two equal halves with a line is a common request: the height that divides the goods stacked on shelves by volume, or the level at which a tank of irregular sections holds half its contents. When no formula gives the split, bisecting the level is the standard numerical method; SciPy ships it as scipy.optimize.bisect.

Subproblems & Recurrence Decomposition3 Phases

🧩Subproblem 1: The Area Below a Line

Squares wholly below the line y = mid add their whole area, kept as an exact integer full; squares the line cuts add their side times the height under it, the float part. Keeping the big totals exact stops rounding from moving the answer by more than 10^-5. The area below only grows as mid rises.

Mathematical Recurrence / Code Invariant
full = sum(l * l for _, y, l in squares if y + l <= mid)             # exact integer
part = sum(l * (mid - y) for _, y, l in squares if y < mid < y + l)  # the only float

Step-by-Step Execution Trace Table

Trace for Example 1: total = 1 * 1 + 1 * 1 = 2, lo = 0, hi = 3. full is the area of the squares wholly below mid, part the area under mid inside the squares it cuts.

Round _(lo, hi]midfullpart2 * part >= 2 - 2 * full?Action
0(0, 3]1.510Yeshi = mid = 1.5
1(0, 1.5]0.7500.75Nolo = mid = 0.75 (mid + 1 would be 1.75, past the answer)
2(0.75, 1.5]1.12510Yeshi = 1.125
3(0.75, 1.125]0.937500.9375Nolo = 0.9375
...the window halves every round
52(0.9999999999999998, 1.0000000000000004]1.010Yeshi = 1.0
53(0.9999999999999998, 1.0]0.999999999999999900.9999999999999999Nolo = 0.9999999999999999
54(0.9999999999999999, 1.0]1.010Yeshi = 1.0: nothing changes
55 to 99the samenothing changes
endreturns 1.0
Scroll horizontally to see all columns, or expand to full screen

Round 54 is the trap: lo and hi are now neighbouring floats, so (lo + hi) / 2 rounds to hi itself and hi = mid leaves the window as it was. A while lo < hi loop would repeat this round forever; for _ in range(100) just runs out and returns hi.

Core Invariant Specification & Code Shape
Archetype Code Shape
Python
1The area below the line `y = mid` only grows as `mid` rises, so `2 * part >= total - 2 * full` is False below the answer and True from it on: bisect the height itself.
2Keep `lo` failing and `hi` passing: `lo` starts at the lowest bottom edge, `hi` at the highest top edge, and every round moves one of them onto `mid`.
3`total = sum(l * l ...)`; `lo = min(y ...)`; `hi = max(y + l ...)`; `for _ in range(100):` take `mid = (lo + hi) / 2`, sum `full` (whole squares below, exact) and `part` (squares the line cuts), then `hi = mid` if `2 * part >= total - 2 * full` else `lo = mid`; `return hi`.
4The trap: `while lo < hi` never ends on floats, and `lo = mid + 1` skips real answers such as `7 / 6`. Count rounds and move onto `mid`.

Target: Separate Squares I (LeetCode 3453). The check compares the area below the line with half of this total. Overlapping squares each count their full area, as the problem asks.

Boundary Model: Closed Candidate Interval [L, R]

Both L and R are inclusive valid indices. When condition matches or fails, candidate space shrinks by setting lo = mid + 1 or hi = mid - 1 symmetrically.

Loop Invariant Termination

while (lo <= hi) with mid = lo + (hi - lo) // 2.

Conceptual Narrative

🧭 Conceptual Foundation & Pattern Intuition

The answer here is a height, and a height can be any real number: 1, 7 / 6, 999999999.5. Raise a horizontal line and the area below it only grows, so the question "is at least half of the area below y = mid?" answers No, No, ..., then Yes from the lowest balancing line upward. That is a binary search, but over a continuum: there is no next height after mid, so neither end can step past it with + 1 or - 1, and a loop that waits for lo and hi to meet never stops.

📐 The Analogy: Setting a Shelf by Halving the Gap

You are fixing a shelf at the height where the boxes stacked on a wall are split into two equal halves by weight. You know one height that is too low and one that is high enough. Try the middle: if it is high enough, it becomes your new "high enough" mark; if not, it becomes your new "too low" mark. The gap between the two marks halves every time. There is no "next notch" on a smooth wall, so you do not wait for the marks to touch: after a fixed number of tries the gap is thinner than a hair, and you fix the shelf at the "high enough" mark.

🪄 The Mathematical Harmony / Magic Trick
Code / Blueprint
lo = min(y for _, y, _ in squares) # the check fails here
hi = max(y + l for _, y, l in squares) # the check passes here
for _ in range(100): # count rounds, never while lo < hi
mid = (lo + hi) / 2 # a real midpoint
full = sum(l * l for _, y, l in squares if y + l <= mid) # exact integer
part = sum(l * (mid - y) for _, y, l in squares if y < mid < y + l) # the only float
if 2 * part >= total - 2 * full: # >=: the lowest balancing line
hi = mid # move onto mid, never past it
else:
lo = mid
return hi
 

lo always fails and hi always passes, so the answer stays in (lo, hi] while the window halves every round: after t rounds it is (hi - lo) / 2^t wide. The heights here are at most about 2 * 109 apart, so 48 rounds already reach 10^-5, and by round 100 lo and hi are neighbouring floats. From then on mid equals one of them and the rounds change nothing, which is exactly why while lo < hi would never end. The check is split so rounding cannot undo that precision: full, the squares wholly below the line, is an exact integer, and only part, the squares the line cuts, is a float. A single float sum of every area would be off by up to about 6e-5 area units once the total nears 1012, and with a thin square at the line that is a height error above 10^-5.

💡 Summary

When the answer is a real number, bisect the value itself: move an end onto mid (never mid ± 1), run a fixed number of rounds chosen from the bounds and the tolerance, and return hi. One pass over the squares per round: O(N⋅R)O(N \cdot R)O(N⋅R) time, O(1)O(1)O(1) space.

  • while lo < hi on floats: once lo and hi are neighbouring floats, mid equals one of them, hi = mid or lo = mid changes nothing, and the loop never ends. Loop for _ in range(100) instead. A stopping gap eps in while hi - lo > eps works only between two limits: below the float spacing at these values (about 1.2e-7 near 109) it never stops, and above 10^-5 it stops too early.

  • lo = mid + 1 on a continuum: a whole-unit jump skips real answers such as 7 / 6 in Example 2. Move onto mid, never past it.

  • Too few rounds: t rounds leave (hi - lo) / 2^t; a window of 2 * 109 needs 48 rounds to get below 10^-5, and 10 rounds leave about a thousandth of it.

  • 2 * part > total - 2 * full: the strict test finds the highest balancing line. In Example 1 every line from 1 to 2 balances, and the answer is the lowest one, 1.

  • hi = max(y): the top of the highest square is y + l. With the single square [0, 0, 2] the answer 1 is above every y, so a window ending at max(y) = 0 can never reach it.

  • One float sum of every area: below = sum(l * min(max(mid - y, 0), l) ...) rounds the whole total. Near 1012 that is about 6e-5 area units, and with a side-1 square at the line the answer comes out about 3e-5 too low. Keep the wholly-below squares as an exact integer full and only the cut squares as a float part.

Senior SWE Reasoning Architecture

4-Phase Thought Process Model

You will see how a senior engineer hears 'any value within 10^-5 is accepted' as 'the answer is a real number' and switches from the integer loop to counted rounds.

Pattern Recognition Signals

The 10-second spot

"Any value within 10^-5 of the true answer is accepted" says the answer is a real number, not an index or an integer. "The smallest h for which the two parts are equal" is a first True: the area below y = h only grows as h rises, so 2 * below >= total runs False, ..., False, True, ..., True. A first True over real numbers is Continuous Bisection.

Formulating the Predicate & Invariants

Turning intuition into a boolean rule

lo always fails 2 * part >= total - 2 * full and hi always passes it, so the lowest balancing line is in (lo, hi]. Each round sets hi = mid when mid passes and lo = mid when it fails, halving the window; after 100 rounds hi is the answer to float precision.

Silent Failure Traps & Edge Cases

Where confident candidates still lose points

  • for _ in range(100), not while lo < hi: on Example 1, lo and hi become neighbouring floats around 1 at round 54, mid equals hi, hi = mid changes nothing, and a while lo < hi loop never ends.

  • lo = mid, not lo = mid + 1: in Example 1 the first failing guess is mid = 0.75, and mid + 1 = 1.75 jumps past the answer 1; in Example 2 the answer 7/6 is not even a whole number.

  • 2 * part >= total - 2 * full, not >: in Example 1 every line from 1 to 2 balances, and the strict test returns the top of that stretch, 2, instead of the lowest line, 1.

  • hi = max(y + l ...), the top of the highest square, not max(y ...): with the single square [0, 0, 2] the answer 1 is above every y.

  • full must be an exact integer and only part a float: one float sum of every area is off by about 6e-5 area units once the total nears 1012, and with a side-1 square at the line that is a height error of about 3e-5, over the 10^-5 tolerance. Test [[0,1000000,1],[0,0,600000],[0,100000000,600000],[0,1000001,1]]: the answer is 1000001, not 1000000.99997.

The 60-Second Interview Pitch

Say this out loud before you type a single line

I'd use Continuous Bisection, a binary search over real numbers. The area below a horizontal line only grows as the line rises, so asking whether at least half the area is below height mid gives false, then true, and the answer is where it flips. I start lo at the lowest bottom edge and hi at the highest top edge. Each round I add up the area below mid in one pass, whole squares as an exact integer so rounding can't blur the check; if it reaches half, hi becomes mid, otherwise lo becomes mid. The answer is a real number, so there is no mid plus one: both ends move onto mid. The trap I avoid is the integer loop: while lo is less than hi never ends on floats, so I run a fixed hundred rounds, far more than ten to the minus five needs, and return hi. That's O(N times R) time for R rounds, and O(1) space.

So: spot the real-valued answer, keep lo failing and hi passing, move onto mid, count 100 rounds, then pitch O(N * R).

Big-O Invariant Derivation

Complexity & Mathematical Proof

TIME COMPLEXITY

O(N * R)

Look at the code: total, lo and hi are each one pass over the N squares. The loop for _ in range(100) runs exactly R = 100 rounds whatever the input, and each round's only real work is full = sum(...) and part = sum(...), two more passes over the N squares. So the time is O(N) for the setup plus R * O(N) for the rounds: O(N * R). R comes from the precision, not from N: t rounds shrink the window to (hi - lo) / 2^t, the window starts at most about 2 * 109 wide, so 48 rounds already reach 10^-5 and 100 leave a wide margin. At N = 5 * 104 that is 5 million square visits.

SPACE COMPLEXITY

O(1)

The code keeps total, lo, hi, mid, full and part, and every sum, min and max runs over a generator, so nothing is stored per square. There is no recursion, so the extra space is O(1).

Formal Recurrence Relation

T(N) = O(N) + R * O(N) = O(N * R), R = 100

Look at the code: total, lo and hi are each one pass over the N squares. The loop for _ in range(100) runs exactly R = 100 rounds whatever the input, and each round's only real work is full = sum(...) and part = sum(...), two more passes over the N squares. So the time is O(N) for the setup plus R * O(N) for the rounds: O(N * R). R comes from the precision, not from N: t rounds shrink the window to (hi - lo) / 2^t, the window starts at most about 2 * 109 wide, so 48 rounds already reach 10^-5 and 100 leave a wide margin. At N = 5 * 104 that is 5 million square visits.

Derivation Progression

Setup

O(N)

total, lo and hi each take one pass over the squares.

Rounds

R = 100

for _ in range(100) runs 100 times, whatever the input; 48 would already reach 10^-5 on a window of 2 * 109.

One round

O(N)

full = sum(...) and part = sum(...) visit every square once each; the comparison and the move are O(1).

Total

O(N * R)

100 passes over the squares: 5 million square visits at N = 5 * 104.

Variable Definitions

NNN

The number of squares, len(squares)

RRR

The number of rounds, fixed at 100

ttt

Rounds done so far: the window is then (hi - lo) / 2^t wide

Memory Architecture & Bounds

🟣 Call Stack

O(1) Iterative, no recursion

🔵 Auxiliary Heap

O(1): total, lo, hi, mid, full, part

🟢 Output Space

O(1): one float

Boundary Best / Worst Cases

Best Case

O(N⋅R)O(N \cdot R)O(N⋅R): the round count is fixed, so every input of N squares costs the same

Average Case

O(N⋅R)O(N \cdot R)O(N⋅R)

Worst Case

O(N⋅R)O(N \cdot R)O(N⋅R): 100 passes over 5 * 104 squares

Staff+ Engineering Perspective

Senior SWE Deconstruction & Hardware Caveats

ARCHITECTURAL SIGNALS & INTERVIEW TRIGGERS

Triggers: "any value within 10^-5 of the true answer is accepted" and "the smallest h": a first True over real numbers. The area below y = h only grows with h, so the move is Continuous Bisection: bisect the height, move lo or hi onto mid, and count the rounds.

CONSTRAINTS & BOUNDS

N≤5⋅104N \le 5 \cdot 10^4N≤5⋅104 squares, coordinates up to 10910^9109, total area at most 101210^{12}1012. Budget: O(N⋅R)O(N \cdot R)O(N⋅R) with R=100R = 100R=100, about 5 million square visits, and O(1)O(1)O(1) space. Doubles near 10910^9109 are about 10−710^{-7}10−7 apart, still well inside the 10−510^{-5}10−5 tolerance.

FAANG PRODUCTION TRAPS & EDGE CASES

At scale the risk is floating point, not the round count. One float sum of every area is off by about 6⋅10−56 \cdot 10^{-5}6⋅10−5 area units once the total nears 101210^{12}1012, and when the line crosses a side-1 square that becomes a height error of about 3⋅10−53 \cdot 10^{-5}3⋅10−5, over the tolerance. So total and full (the squares wholly below the line) stay exact integers and only part, the squares the line cuts, is a float: its error is about the float spacing times the cut squares' side, so the height error stays near 10−1010^{-10}10−10. A loop that stops on hi - lo > eps, with a stopping gap eps below the float spacing at 10910^9109 (about 1.2⋅10−71.2 \cdot 10^{-7}1.2⋅10−7), never ends, which in a service is a hung request rather than a wrong answer; a fixed round count bounds the work of every call.

Core Algorithmic State Invariants

  1. A Check That Flips Once

The area below y = mid only grows as mid rises, so 2 * part >= total - 2 * full is False below the answer and True from it on.

  1. Move Onto mid

Heights are real numbers with no next value, so hi = mid on a pass and lo = mid on a fail: lo keeps failing, hi keeps passing, and the answer stays in (lo, hi].

  1. Count the Rounds

Each round halves the window, to (hi - lo) / 2^t after t rounds. 100 rounds reach neighbouring floats, where while lo < hi would spin forever. O(N * R) time, O(1) space.

Theory Context•Binary Search Boundary
MediumLC 3453

Separate Squares I (LeetCode 3453)

You will see how to binary search an answer that is a real number, where there is no next value after mid and the loop must count its rounds.

You get a list of squares on a flat plane. squares[i] = [xi, yi, li] describes a square whose sides run parallel to the axes: its bottom-left corner is at (xi, yi) and each side has length li.

Draw a horizontal line y = h. Part of the squares' total area lies below the line and part lies above it. Find the smallest h for which the two parts are equal. Squares may overlap, and an overlapping region is counted once for every square that covers it.

The answer is a real number: any value within 10^-5 of the true answer is accepted.

Worked Examples

Example 1
Input:squares = [[0,0,1],[2,2,1]]
Output:1.00000
heights each square covers (y to y + l)
square 0, side 1square 1, side 103
Explanation: The first square covers heights 0 to 1 and the second covers 2 to 3. Every line with `1 <= h <= 2` leaves one unit of area on each side, and the lowest of them is `h = 1`.
Example 2
Input:squares = [[0,0,2],[1,1,1]]
Output:1.16667
heights each square covers (y to y + l)
square 0, side 2square 1, side 102
Explanation: The total area is `4 + 1 = 5`, so each side needs `2.5`. At `h = 7/6` the big square has `2 * 7/6 = 7/3` below the line and the small one `1 * 1/6 = 1/6`, together `2.5`, so the answer is `7/6`, about `1.16667`.

⚖️Formal Constraints & Bounds

  • 1 <= squares.length <= 5 * 104

  • squares[i] = [xi, yi, li]

  • squares[i].length == 3

  • 0 <= xi, yi <= 109

  • 1 <= li <= 109

  • The total area of all the squares will not exceed 1012.

Deep-Dive & Conceptual Insights

Why It Works & Core Invariant

Raising the line never removes area from below it, so 2 * part >= total - 2 * full is False for every height below the answer and True from the answer up. lo starts where it fails and hi where it passes, and each round moves one of them onto mid, so the answer never leaves (lo, hi] while the window halves. Heights are real numbers, so neither end can step to mid + 1, and the loop counts 100 rounds instead of waiting for lo and hi to meet.

Real-World Scenario & Production Applications

Splitting a spread-out quantity into two equal halves with a line is a common request: the height that divides the goods stacked on shelves by volume, or the level at which a tank of irregular sections holds half its contents. When no formula gives the split, bisecting the level is the standard numerical method; SciPy ships it as scipy.optimize.bisect.

Subproblems & Recurrence Decomposition3 Phases

🧩Subproblem 1: The Area Below a Line

Squares wholly below the line y = mid add their whole area, kept as an exact integer full; squares the line cuts add their side times the height under it, the float part. Keeping the big totals exact stops rounding from moving the answer by more than 10^-5. The area below only grows as mid rises.

Mathematical Recurrence / Code Invariant
full = sum(l * l for _, y, l in squares if y + l <= mid)             # exact integer
part = sum(l * (mid - y) for _, y, l in squares if y < mid < y + l)  # the only float

Step-by-Step Execution Trace Table

Trace for Example 1: total = 1 * 1 + 1 * 1 = 2, lo = 0, hi = 3. full is the area of the squares wholly below mid, part the area under mid inside the squares it cuts.

Round _(lo, hi]midfullpart2 * part >= 2 - 2 * full?Action
0(0, 3]1.510Yeshi = mid = 1.5
1(0, 1.5]0.7500.75Nolo = mid = 0.75 (mid + 1 would be 1.75, past the answer)
2(0.75, 1.5]1.12510Yeshi = 1.125
3(0.75, 1.125]0.937500.9375Nolo = 0.9375
...the window halves every round
52(0.9999999999999998, 1.0000000000000004]1.010Yeshi = 1.0
53(0.9999999999999998, 1.0]0.999999999999999900.9999999999999999Nolo = 0.9999999999999999
54(0.9999999999999999, 1.0]1.010Yeshi = 1.0: nothing changes
55 to 99the samenothing changes
endreturns 1.0
Scroll horizontally to see all columns, or expand to full screen

Round 54 is the trap: lo and hi are now neighbouring floats, so (lo + hi) / 2 rounds to hi itself and hi = mid leaves the window as it was. A while lo < hi loop would repeat this round forever; for _ in range(100) just runs out and returns hi.

Core Invariant Specification & Code Shape
Archetype Code Shape
Python
1The area below the line `y = mid` only grows as `mid` rises, so `2 * part >= total - 2 * full` is False below the answer and True from it on: bisect the height itself.
2Keep `lo` failing and `hi` passing: `lo` starts at the lowest bottom edge, `hi` at the highest top edge, and every round moves one of them onto `mid`.
3`total = sum(l * l ...)`; `lo = min(y ...)`; `hi = max(y + l ...)`; `for _ in range(100):` take `mid = (lo + hi) / 2`, sum `full` (whole squares below, exact) and `part` (squares the line cuts), then `hi = mid` if `2 * part >= total - 2 * full` else `lo = mid`; `return hi`.
4The trap: `while lo < hi` never ends on floats, and `lo = mid + 1` skips real answers such as `7 / 6`. Count rounds and move onto `mid`.

Target: Separate Squares I (LeetCode 3453). The check compares the area below the line with half of this total. Overlapping squares each count their full area, as the problem asks.

Boundary Model: Closed Candidate Interval [L, R]

Both L and R are inclusive valid indices. When condition matches or fails, candidate space shrinks by setting lo = mid + 1 or hi = mid - 1 symmetrically.

Loop Invariant Termination

while (lo <= hi) with mid = lo + (hi - lo) // 2.

Conceptual Narrative

🧭 Conceptual Foundation & Pattern Intuition

The answer here is a height, and a height can be any real number: 1, 7 / 6, 999999999.5. Raise a horizontal line and the area below it only grows, so the question "is at least half of the area below y = mid?" answers No, No, ..., then Yes from the lowest balancing line upward. That is a binary search, but over a continuum: there is no next height after mid, so neither end can step past it with + 1 or - 1, and a loop that waits for lo and hi to meet never stops.

📐 The Analogy: Setting a Shelf by Halving the Gap

You are fixing a shelf at the height where the boxes stacked on a wall are split into two equal halves by weight. You know one height that is too low and one that is high enough. Try the middle: if it is high enough, it becomes your new "high enough" mark; if not, it becomes your new "too low" mark. The gap between the two marks halves every time. There is no "next notch" on a smooth wall, so you do not wait for the marks to touch: after a fixed number of tries the gap is thinner than a hair, and you fix the shelf at the "high enough" mark.

🪄 The Mathematical Harmony / Magic Trick
Code / Blueprint
lo = min(y for _, y, _ in squares) # the check fails here
hi = max(y + l for _, y, l in squares) # the check passes here
for _ in range(100): # count rounds, never while lo < hi
mid = (lo + hi) / 2 # a real midpoint
full = sum(l * l for _, y, l in squares if y + l <= mid) # exact integer
part = sum(l * (mid - y) for _, y, l in squares if y < mid < y + l) # the only float
if 2 * part >= total - 2 * full: # >=: the lowest balancing line
hi = mid # move onto mid, never past it
else:
lo = mid
return hi
 

lo always fails and hi always passes, so the answer stays in (lo, hi] while the window halves every round: after t rounds it is (hi - lo) / 2^t wide. The heights here are at most about 2 * 109 apart, so 48 rounds already reach 10^-5, and by round 100 lo and hi are neighbouring floats. From then on mid equals one of them and the rounds change nothing, which is exactly why while lo < hi would never end. The check is split so rounding cannot undo that precision: full, the squares wholly below the line, is an exact integer, and only part, the squares the line cuts, is a float. A single float sum of every area would be off by up to about 6e-5 area units once the total nears 1012, and with a thin square at the line that is a height error above 10^-5.

💡 Summary

When the answer is a real number, bisect the value itself: move an end onto mid (never mid ± 1), run a fixed number of rounds chosen from the bounds and the tolerance, and return hi. One pass over the squares per round: O(N⋅R)O(N \cdot R)O(N⋅R) time, O(1)O(1)O(1) space.

  • while lo < hi on floats: once lo and hi are neighbouring floats, mid equals one of them, hi = mid or lo = mid changes nothing, and the loop never ends. Loop for _ in range(100) instead. A stopping gap eps in while hi - lo > eps works only between two limits: below the float spacing at these values (about 1.2e-7 near 109) it never stops, and above 10^-5 it stops too early.

  • lo = mid + 1 on a continuum: a whole-unit jump skips real answers such as 7 / 6 in Example 2. Move onto mid, never past it.

  • Too few rounds: t rounds leave (hi - lo) / 2^t; a window of 2 * 109 needs 48 rounds to get below 10^-5, and 10 rounds leave about a thousandth of it.

  • 2 * part > total - 2 * full: the strict test finds the highest balancing line. In Example 1 every line from 1 to 2 balances, and the answer is the lowest one, 1.

  • hi = max(y): the top of the highest square is y + l. With the single square [0, 0, 2] the answer 1 is above every y, so a window ending at max(y) = 0 can never reach it.

  • One float sum of every area: below = sum(l * min(max(mid - y, 0), l) ...) rounds the whole total. Near 1012 that is about 6e-5 area units, and with a side-1 square at the line the answer comes out about 3e-5 too low. Keep the wholly-below squares as an exact integer full and only the cut squares as a float part.

Senior SWE Reasoning Architecture

4-Phase Thought Process Model

You will see how a senior engineer hears 'any value within 10^-5 is accepted' as 'the answer is a real number' and switches from the integer loop to counted rounds.

Pattern Recognition Signals

The 10-second spot

"Any value within 10^-5 of the true answer is accepted" says the answer is a real number, not an index or an integer. "The smallest h for which the two parts are equal" is a first True: the area below y = h only grows as h rises, so 2 * below >= total runs False, ..., False, True, ..., True. A first True over real numbers is Continuous Bisection.

Formulating the Predicate & Invariants

Turning intuition into a boolean rule

lo always fails 2 * part >= total - 2 * full and hi always passes it, so the lowest balancing line is in (lo, hi]. Each round sets hi = mid when mid passes and lo = mid when it fails, halving the window; after 100 rounds hi is the answer to float precision.

Silent Failure Traps & Edge Cases

Where confident candidates still lose points

  • for _ in range(100), not while lo < hi: on Example 1, lo and hi become neighbouring floats around 1 at round 54, mid equals hi, hi = mid changes nothing, and a while lo < hi loop never ends.

  • lo = mid, not lo = mid + 1: in Example 1 the first failing guess is mid = 0.75, and mid + 1 = 1.75 jumps past the answer 1; in Example 2 the answer 7/6 is not even a whole number.

  • 2 * part >= total - 2 * full, not >: in Example 1 every line from 1 to 2 balances, and the strict test returns the top of that stretch, 2, instead of the lowest line, 1.

  • hi = max(y + l ...), the top of the highest square, not max(y ...): with the single square [0, 0, 2] the answer 1 is above every y.

  • full must be an exact integer and only part a float: one float sum of every area is off by about 6e-5 area units once the total nears 1012, and with a side-1 square at the line that is a height error of about 3e-5, over the 10^-5 tolerance. Test [[0,1000000,1],[0,0,600000],[0,100000000,600000],[0,1000001,1]]: the answer is 1000001, not 1000000.99997.

The 60-Second Interview Pitch

Say this out loud before you type a single line

I'd use Continuous Bisection, a binary search over real numbers. The area below a horizontal line only grows as the line rises, so asking whether at least half the area is below height mid gives false, then true, and the answer is where it flips. I start lo at the lowest bottom edge and hi at the highest top edge. Each round I add up the area below mid in one pass, whole squares as an exact integer so rounding can't blur the check; if it reaches half, hi becomes mid, otherwise lo becomes mid. The answer is a real number, so there is no mid plus one: both ends move onto mid. The trap I avoid is the integer loop: while lo is less than hi never ends on floats, so I run a fixed hundred rounds, far more than ten to the minus five needs, and return hi. That's O(N times R) time for R rounds, and O(1) space.

So: spot the real-valued answer, keep lo failing and hi passing, move onto mid, count 100 rounds, then pitch O(N * R).

Big-O Invariant Derivation

Complexity & Mathematical Proof

TIME COMPLEXITY

O(N * R)

Look at the code: total, lo and hi are each one pass over the N squares. The loop for _ in range(100) runs exactly R = 100 rounds whatever the input, and each round's only real work is full = sum(...) and part = sum(...), two more passes over the N squares. So the time is O(N) for the setup plus R * O(N) for the rounds: O(N * R). R comes from the precision, not from N: t rounds shrink the window to (hi - lo) / 2^t, the window starts at most about 2 * 109 wide, so 48 rounds already reach 10^-5 and 100 leave a wide margin. At N = 5 * 104 that is 5 million square visits.

SPACE COMPLEXITY

O(1)

The code keeps total, lo, hi, mid, full and part, and every sum, min and max runs over a generator, so nothing is stored per square. There is no recursion, so the extra space is O(1).

Formal Recurrence Relation

T(N) = O(N) + R * O(N) = O(N * R), R = 100

Look at the code: total, lo and hi are each one pass over the N squares. The loop for _ in range(100) runs exactly R = 100 rounds whatever the input, and each round's only real work is full = sum(...) and part = sum(...), two more passes over the N squares. So the time is O(N) for the setup plus R * O(N) for the rounds: O(N * R). R comes from the precision, not from N: t rounds shrink the window to (hi - lo) / 2^t, the window starts at most about 2 * 109 wide, so 48 rounds already reach 10^-5 and 100 leave a wide margin. At N = 5 * 104 that is 5 million square visits.

Derivation Progression

Setup

O(N)

total, lo and hi each take one pass over the squares.

Rounds

R = 100

for _ in range(100) runs 100 times, whatever the input; 48 would already reach 10^-5 on a window of 2 * 109.

One round

O(N)

full = sum(...) and part = sum(...) visit every square once each; the comparison and the move are O(1).

Total

O(N * R)

100 passes over the squares: 5 million square visits at N = 5 * 104.

Variable Definitions

NNN

The number of squares, len(squares)

RRR

The number of rounds, fixed at 100

ttt

Rounds done so far: the window is then (hi - lo) / 2^t wide

Memory Architecture & Bounds

🟣 Call Stack

O(1) Iterative, no recursion

🔵 Auxiliary Heap

O(1): total, lo, hi, mid, full, part

🟢 Output Space

O(1): one float

Boundary Best / Worst Cases

Best Case

O(N⋅R)O(N \cdot R)O(N⋅R): the round count is fixed, so every input of N squares costs the same

Average Case

O(N⋅R)O(N \cdot R)O(N⋅R)

Worst Case

O(N⋅R)O(N \cdot R)O(N⋅R): 100 passes over 5 * 104 squares

Staff+ Engineering Perspective

Senior SWE Deconstruction & Hardware Caveats

ARCHITECTURAL SIGNALS & INTERVIEW TRIGGERS

Triggers: "any value within 10^-5 of the true answer is accepted" and "the smallest h": a first True over real numbers. The area below y = h only grows with h, so the move is Continuous Bisection: bisect the height, move lo or hi onto mid, and count the rounds.

CONSTRAINTS & BOUNDS

N≤5⋅104N \le 5 \cdot 10^4N≤5⋅104 squares, coordinates up to 10910^9109, total area at most 101210^{12}1012. Budget: O(N⋅R)O(N \cdot R)O(N⋅R) with R=100R = 100R=100, about 5 million square visits, and O(1)O(1)O(1) space. Doubles near 10910^9109 are about 10−710^{-7}10−7 apart, still well inside the 10−510^{-5}10−5 tolerance.

FAANG PRODUCTION TRAPS & EDGE CASES

At scale the risk is floating point, not the round count. One float sum of every area is off by about 6⋅10−56 \cdot 10^{-5}6⋅10−5 area units once the total nears 101210^{12}1012, and when the line crosses a side-1 square that becomes a height error of about 3⋅10−53 \cdot 10^{-5}3⋅10−5, over the tolerance. So total and full (the squares wholly below the line) stay exact integers and only part, the squares the line cuts, is a float: its error is about the float spacing times the cut squares' side, so the height error stays near 10−1010^{-10}10−10. A loop that stops on hi - lo > eps, with a stopping gap eps below the float spacing at 10910^9109 (about 1.2⋅10−71.2 \cdot 10^{-7}1.2⋅10−7), never ends, which in a service is a hung request rather than a wrong answer; a fixed round count bounds the work of every call.

Core Algorithmic State Invariants

  1. A Check That Flips Once

The area below y = mid only grows as mid rises, so 2 * part >= total - 2 * full is False below the answer and True from it on.

  1. Move Onto mid

Heights are real numbers with no next value, so hi = mid on a pass and lo = mid on a fail: lo keeps failing, hi keeps passing, and the answer stays in (lo, hi].

  1. Count the Rounds

Each round halves the window, to (hi - lo) / 2^t after t rounds. 100 rounds reach neighbouring floats, where while lo < hi would spin forever. O(N * R) time, O(1) space.

Rosetta Dual-Monaco Comparison
Python 3
CANONICAL INVARIANT TEMPLATE
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CONCRETE: SEPARATE SQUARES I (LEETCODE 3453)
T = O(N * R)S = O(1)
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Pattern Implementation Mapping TableCanonical Invariant ⟷ Concrete Code ⟷ Engineering Rationale
Canonical InvariantConcrete CodeEngineering Rationale
total = sum(l * l for _, _, l in squares)total = sum(l * l for _, _, l in squares)The check compares the area below the line with half of this total. Overlapping squares each count their full area, as the problem asks.
lo = min(y ...); hi = max(y + l ...)lo = min(y for _, y, _ in squares) hi = max(y + l for _, y, l in squares)`lo` is the lowest bottom edge, where no area is below, so the check fails; `hi` is the highest top edge, where all of it is below, so the check passes. The answer is in `(lo, hi]`.
for _ in range(100):for _ in range(100):A fixed number of rounds replaces `while lo < hi`, which never ends on floats. 100 halvings take a window of at most `2 * 10^9` down to neighbouring floats.
mid = (lo + hi) / 2mid = (lo + hi) / 2True division: `mid` is a real number and is never rounded to an integer.
full = sum(l * l ... if y + l <= mid)full = sum(l * l for _, y, l in squares if y + l <= mid)Squares whose top is at or below the line count their whole area, an exact integer, so the big totals never pick up rounding.
part = sum(l * (mid - y) ... if y < mid < y + l)part = sum(l * (mid - y) for _, y, l in squares if y < mid < y + l)Only the squares the line cuts add a float: their side times the height under the line. This small sum is the only rounded quantity, so the check stays precise near huge totals.
if 2 * part >= total - 2 * full: hi = midif 2 * part >= total - 2 * full: hi = midAt least half the area is below `mid` (`full + part >= total / 2`, written without a division), so `mid` is high enough and the answer is `mid` or lower. `>=`, not `>`, keeps the lowest balancing line.
else: lo = midelse: lo = midLess than half is below: the answer is above `mid`. `lo` moves onto `mid`, never to `mid + 1`.
return hireturn hi`hi` always passes the check, and after 100 rounds it is within float precision of the lowest balancing line.
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