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
squares = [[0,0,1],[2,2,1]]1.00000squares = [[0,0,2],[1,1,1]]1.16667⚖️Formal Constraints & Bounds
1 <= squares.length <= 5 * 104squares[i] = [xi, yi, li]squares[i].length == 30 <= xi, yi <= 1091 <= li <= 109The total area of all the squares will not exceed
1012.
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
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.
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 floatStep-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] | mid | full | part | 2 * part >= 2 - 2 * full? | Action |
|---|---|---|---|---|---|---|
| 0 | (0, 3] | 1.5 | 1 | 0 | Yes | hi = mid = 1.5 |
| 1 | (0, 1.5] | 0.75 | 0 | 0.75 | No | lo = mid = 0.75 (mid + 1 would be 1.75, past the answer) |
| 2 | (0.75, 1.5] | 1.125 | 1 | 0 | Yes | hi = 1.125 |
| 3 | (0.75, 1.125] | 0.9375 | 0 | 0.9375 | No | lo = 0.9375 |
| ... | the window halves every round | |||||
| 52 | (0.9999999999999998, 1.0000000000000004] | 1.0 | 1 | 0 | Yes | hi = 1.0 |
| 53 | (0.9999999999999998, 1.0] | 0.9999999999999999 | 0 | 0.9999999999999999 | No | lo = 0.9999999999999999 |
| 54 | (0.9999999999999999, 1.0] | 1.0 | 1 | 0 | Yes | hi = 1.0: nothing changes |
| 55 to 99 | the same | nothing changes | ||||
| end | returns 1.0 |
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.
| 1 | The 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. |
| 2 | Keep `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`. |
| 4 | The 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.
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.
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
lo = min(y for _, y, _ in squares) # the check fails herehi = max(y + l for _, y, l in squares) # the check passes herefor _ 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 = midreturn 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: time, space.
while lo < hion floats: onceloandhiare neighbouring floats,midequals one of them,hi = midorlo = midchanges nothing, and the loop never ends. Loopfor _ in range(100)instead. A stopping gapepsinwhile hi - lo > epsworks only between two limits: below the float spacing at these values (about1.2e-7near109) it never stops, and above10^-5it stops too early.lo = mid + 1on a continuum: a whole-unit jump skips real answers such as7 / 6in Example 2. Move ontomid, never past it.Too few rounds:
trounds leave(hi - lo) / 2^t; a window of2 * 109needs 48 rounds to get below10^-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 isy + l. With the single square[0, 0, 2]the answer 1 is above everyy, so a window ending atmax(y) = 0can never reach it.One float sum of every area:
below = sum(l * min(max(mid - y, 0), l) ...)rounds the whole total. Near1012that is about6e-5area units, and with a side-1 square at the line the answer comes out about3e-5too low. Keep the wholly-below squares as an exact integerfulland only the cut squares as a floatpart.
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), notwhile lo < hi: on Example 1,loandhibecome neighbouring floats around 1 at round 54,midequalshi,hi = midchanges nothing, and awhile lo < hiloop never ends.lo = mid, notlo = mid + 1: in Example 1 the first failing guess ismid = 0.75, andmid + 1 = 1.75jumps past the answer 1; in Example 2 the answer7/6is 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, notmax(y ...): with the single square[0, 0, 2]the answer 1 is above everyy.fullmust be an exact integer and onlyparta float: one float sum of every area is off by about6e-5area units once the total nears1012, and with a side-1 square at the line that is a height error of about3e-5, over the10^-5tolerance. 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).
Complexity & Mathematical Proof
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.
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).
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
O(N)
total, lo and hi each take one pass over the squares.
R = 100
for _ in range(100) runs 100 times, whatever the input; 48 would already reach 10^-5 on a window of 2 * 109.
O(N)
full = sum(...) and part = sum(...) visit every square once each; the comparison and the move are O(1).
O(N * R)
100 passes over the squares: 5 million square visits at N = 5 * 104.
Variable Definitions
The number of squares, len(squares)
The number of rounds, fixed at 100
Rounds done so far: the window is then (hi - lo) / 2^t wide
Memory Architecture & Bounds
O(1) Iterative, no recursion
O(1): total, lo, hi, mid, full, part
O(1): one float
Boundary Best / Worst Cases
: the round count is fixed, so every input of N squares costs the same
: 100 passes over 5 * 104 squares
Senior SWE Deconstruction & Hardware Caveats
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.
squares, coordinates up to , total area at most . Budget: with , about 5 million square visits, and space. Doubles near are about apart, still well inside the tolerance.
At scale the risk is floating point, not the round count. One float sum of every area is off by about area units once the total nears , and when the line crosses a side-1 square that becomes a height error of about , 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 . A loop that stops on hi - lo > eps, with a stopping gap eps below the float spacing at (about ), 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
- 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.
- 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].
- 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.
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
squares = [[0,0,1],[2,2,1]]1.00000squares = [[0,0,2],[1,1,1]]1.16667⚖️Formal Constraints & Bounds
1 <= squares.length <= 5 * 104squares[i] = [xi, yi, li]squares[i].length == 30 <= xi, yi <= 1091 <= li <= 109The total area of all the squares will not exceed
1012.
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
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.
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 floatStep-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] | mid | full | part | 2 * part >= 2 - 2 * full? | Action |
|---|---|---|---|---|---|---|
| 0 | (0, 3] | 1.5 | 1 | 0 | Yes | hi = mid = 1.5 |
| 1 | (0, 1.5] | 0.75 | 0 | 0.75 | No | lo = mid = 0.75 (mid + 1 would be 1.75, past the answer) |
| 2 | (0.75, 1.5] | 1.125 | 1 | 0 | Yes | hi = 1.125 |
| 3 | (0.75, 1.125] | 0.9375 | 0 | 0.9375 | No | lo = 0.9375 |
| ... | the window halves every round | |||||
| 52 | (0.9999999999999998, 1.0000000000000004] | 1.0 | 1 | 0 | Yes | hi = 1.0 |
| 53 | (0.9999999999999998, 1.0] | 0.9999999999999999 | 0 | 0.9999999999999999 | No | lo = 0.9999999999999999 |
| 54 | (0.9999999999999999, 1.0] | 1.0 | 1 | 0 | Yes | hi = 1.0: nothing changes |
| 55 to 99 | the same | nothing changes | ||||
| end | returns 1.0 |
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.
| 1 | The 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. |
| 2 | Keep `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`. |
| 4 | The 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.
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.
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
lo = min(y for _, y, _ in squares) # the check fails herehi = max(y + l for _, y, l in squares) # the check passes herefor _ 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 = midreturn 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: time, space.
while lo < hion floats: onceloandhiare neighbouring floats,midequals one of them,hi = midorlo = midchanges nothing, and the loop never ends. Loopfor _ in range(100)instead. A stopping gapepsinwhile hi - lo > epsworks only between two limits: below the float spacing at these values (about1.2e-7near109) it never stops, and above10^-5it stops too early.lo = mid + 1on a continuum: a whole-unit jump skips real answers such as7 / 6in Example 2. Move ontomid, never past it.Too few rounds:
trounds leave(hi - lo) / 2^t; a window of2 * 109needs 48 rounds to get below10^-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 isy + l. With the single square[0, 0, 2]the answer 1 is above everyy, so a window ending atmax(y) = 0can never reach it.One float sum of every area:
below = sum(l * min(max(mid - y, 0), l) ...)rounds the whole total. Near1012that is about6e-5area units, and with a side-1 square at the line the answer comes out about3e-5too low. Keep the wholly-below squares as an exact integerfulland only the cut squares as a floatpart.
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), notwhile lo < hi: on Example 1,loandhibecome neighbouring floats around 1 at round 54,midequalshi,hi = midchanges nothing, and awhile lo < hiloop never ends.lo = mid, notlo = mid + 1: in Example 1 the first failing guess ismid = 0.75, andmid + 1 = 1.75jumps past the answer 1; in Example 2 the answer7/6is 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, notmax(y ...): with the single square[0, 0, 2]the answer 1 is above everyy.fullmust be an exact integer and onlyparta float: one float sum of every area is off by about6e-5area units once the total nears1012, and with a side-1 square at the line that is a height error of about3e-5, over the10^-5tolerance. 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).
Complexity & Mathematical Proof
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.
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).
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
O(N)
total, lo and hi each take one pass over the squares.
R = 100
for _ in range(100) runs 100 times, whatever the input; 48 would already reach 10^-5 on a window of 2 * 109.
O(N)
full = sum(...) and part = sum(...) visit every square once each; the comparison and the move are O(1).
O(N * R)
100 passes over the squares: 5 million square visits at N = 5 * 104.
Variable Definitions
The number of squares, len(squares)
The number of rounds, fixed at 100
Rounds done so far: the window is then (hi - lo) / 2^t wide
Memory Architecture & Bounds
O(1) Iterative, no recursion
O(1): total, lo, hi, mid, full, part
O(1): one float
Boundary Best / Worst Cases
: the round count is fixed, so every input of N squares costs the same
: 100 passes over 5 * 104 squares
Senior SWE Deconstruction & Hardware Caveats
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.
squares, coordinates up to , total area at most . Budget: with , about 5 million square visits, and space. Doubles near are about apart, still well inside the tolerance.
At scale the risk is floating point, not the round count. One float sum of every area is off by about area units once the total nears , and when the line crosses a side-1 square that becomes a height error of about , 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 . A loop that stops on hi - lo > eps, with a stopping gap eps below the float spacing at (about ), 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
- 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.
- 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].
- 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.
| Canonical Invariant | Concrete Code | Engineering 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) / 2 | mid = (lo + hi) / 2 | True 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 = mid | if 2 * part >= total - 2 * full:
hi = mid | At 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 = mid | else:
lo = mid | Less than half is below: the answer is above `mid`. `lo` moves onto `mid`, never to `mid + 1`. |
| return hi | return hi | `hi` always passes the check, and after 100 rounds it is within float precision of the lowest balancing line. |