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 & 168 Practice Problems

  • 1. Two Pointers (9 Paradigms, 32 Problems): Converging pointers, sorted pair sums, container with most water, trapping rain water, 3Sum, plus the Sliding Window and Fast & Slow Pointers paradigms (Floyd cycle detection, monotonic window invariants, longest substrings, minimum window).
  • 2. Binary Search (8 Paradigms, 12 Problems): Monotonic predicate partitioning, boundary searching, rotated arrays, median of two sorted arrays, matrix median on value range.
  • 3. Bit Manipulation (5 Paradigms, 8 Problems): Bitmasking, XOR tricks, counting set bits, subset enumeration via bitmasks.
  • 4. Math & Geometry (5 Paradigms, 10 Problems): Sieve of Eratosthenes, integer/roman conversions, modular arithmetic, geometric simulation.
  • 5. Tree/Graph Depth-First Search (8 Paradigms, 17 Problems): Path sums, lowest common ancestor, tree diameter, subtree serialization, validating BSTs.
  • 6. Tree/Graph Breadth-First Search (4 Paradigms, 11 Problems): Level-order traversals, shortest path, rotting oranges, word ladders.
  • 7. Graphs (6 Paradigms, 14 Problems): Topological sort, cycle detection, Dijkstra, bipartite validation, network delay.
  • 8. Backtracking (5 Paradigms, 13 Problems): Subsets, permutations, combinations, constraint satisfaction, pruning, N-Queens.
  • 9. Dynamic Programming (7 Paradigms, 14 Problems): Memoization vs tabulation, 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 (5 Paradigms, 13 Problems): Trie, Union-Find, LRU Cache, LFU Cache, Monotonic Stacks.
  • 12. Intervals & Stack / Miscellaneous (7 Paradigms, 14 Problems): Merge intervals, daily temperatures, largest rectangle in histogram, trapping rain water via stack.

4-Stage Deliberate Practice Framework

  1. Stage 1 (Compare & Learn): Multi-language Rosetta Stone contrasting abstract invariants with concrete solutions across Python, C#, Java, TypeScript, C++, Go, and Rust.
  2. Stage 2 (Active Recall): Reconstruct algorithmic template invariants from memory with real-time feedback before looking at solutions.
  3. Stage 3 (Senior SWE AI Mock Coach): Simulated senior mock interview evaluating Big-O space/time tradeoffs, edge cases, and code reviews in Monaco Editor.
  4. Stage 4 (Solve on Your Own): Timed sandbox challenges verified against automated test suites in Python, C#, Java, and TypeScript.

Equipped with SM-2 Spaced Repetition Review Hub, Studio Cockpit workspace layout, and interactive study notes.

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Hi👋SpeedAlgo

Invariant-First Algorithmic Mastery

180Items
Theory Context•Bit Manipulation
EasyLC 401

Binary Watch (LeetCode 401)

You will see how treating every LED pattern as one 10-bit number turns Binary Watch into a single loop over 1024 masks.

Target Frequency:GoogleAmazonApple

A binary watch shows the time with 10 LEDs. Four LEDs on the top encode the hour (0 to 11) and six LEDs on the bottom encode the minute (0 to 59); each LED is one bit, with the lowest bit on the right.

Given turnedOn, the number of LEDs that are lit, return every time the watch could be showing, in any order. Write the hour without a leading zero ("1:00", never "01:00") and the minute with exactly two digits ("10:02", never "10:2").

Worked Examples

Example 1
Input:turnedOn = 1
Output:["0:01","0:02","0:04","0:08","0:16","0:32","1:00","2:00","4:00","8:00"]
8041221332416586472819hour LEDsminute LEDs
Explanation: One lit LED is a single minute bit (1, 2, 4, 8, 16 or 32 minutes) or a single hour bit (1, 2, 4 or 8 o'clock).
Example 2
Input:turnedOn = 9
Output:[]
Explanation: No valid time lights more than 8 LEDs (`11:59` lights 3 + 5), so 9 lit LEDs can't show a real time.

⚖️Formal Constraints & Bounds

  • 0 <= turnedOn <= 10

Deep-Dive & Conceptual Insights

Why It Works & Core Invariant

There are only 2^10 patterns of lit LEDs, and each is a number: test every mask, keep the ones with turnedOn bits, and decode the hour and minute fields with a shift and a mask, checking each field's range.

Real-World Scenario & Production Applications

Feature flags, permission sets and hardware status registers are all packed into integers, one bit per option. Enumerating every combination of a few flags (for example, to test each configuration) is a loop over range(1 << n), and decoding a register means shifting and masking its fields, then validating each one.

Subproblems & Recurrence Decomposition3 Phases

🧩Subproblem 1: Bitwise State Invariant

Leverage bitwise properties: x ^ x = 0 (cancellation), n & (n - 1) (clears lowest set bit), or right-shift induction dp[i] = dp[i >> 1] + (i & 1).

Mathematical Recurrence / Code Invariant
# Brian Kernighan Bit-Clearing:
# n & (n - 1) clears lowest set bit in O(1)

Step-by-Step Execution Trace Table

Input turnedOn = 2: only masks with exactly two 1 bits pass the popcount check (45 of the 1024).

mask (binary, hour bits | minute bits)hour = mask >> 6minute = mask & 0b111111hour < 12 and minute < 60?Action
0000 | 000011 = 303Yesappend "0:03"
0000 | 000101 = 505Yesappend "0:05"
...
0000 | 110000 = 48048Yesappend "0:48"
0001 | 000001 = 6511Yesappend "1:01"
...
1100 | 000000 = 768120No (hour 12)skip: 4 bits can spell 12
End44 times returned
Scroll horizontally to see all columns, or expand to full screen
Core Invariant Specification & Code Shape
Archetype Code Shape
Python
1Every pattern of the 10 LEDs is one number from 0 to 1023: bit `i` is on when LED `i` is lit.
2Keep a mask only when `bin(mask).count("1") == turnedOn`; its top 4 bits are the hour (`mask >> 6`) and its low 6 bits the minute (`mask & 0b111111`).
3Loop `for mask in range(1 << 10)`, skip wrong popcounts, split into `hour, minute`, check the ranges, append `f"{hour}:{minute:02d}"`, return the list.
4The trap: check `hour < 12 and minute < 60` after splitting, because 4 bits reach 15 and 6 bits reach 63.

Target: Binary Watch (LeetCode 401). The 10 LEDs are the items, so the 1024 masks are every possible pattern of lit LEDs, each visited once.

Boundary Model: Word-Level Parallel Bitwise State Machine

Bit positions are independent channels processed simultaneously in 1 CPU cycle. n & (n - 1) clears lowest set bit; x ^ x = 0 cancels pairs.

Loop Invariant Termination

while n > 0: n &= n - 1 (terminates after K cycles, K = set bits); or O(1) bitwise expressions.

Conceptual Narrative

🧭 Conceptual Foundation & Pattern Intuition

When a problem has only a handful of on/off items, every subset is just a number. Give item i bit i: a number whose bit i is 1 means "item i is chosen". The subsets of n items are then exactly the numbers 0 .. 2^n - 1, so one for mask in range(1 << n) loop visits each subset once, with no recursion and no duplicates. Binary Watch is the purest case: the 10 LEDs are the items, and a lit LED is a 1 bit.

🏟️ The Analogy: A Row of Light Switches

Ten switches on a wall are a 10-digit binary number. Counting from 0 to 1023 flips them through every possible pattern exactly once. Reading the pattern back is just as easy: the left 4 switches spell the hour in binary, the right 6 spell the minute.

🪄 The Mathematical Harmony / Magic Trick
Code / Blueprint
for mask in range(1 << 10): # every pattern of 10 LEDs
if bin(mask).count("1") != turnedOn: # popcount = lit LEDs
continue
hour, minute = mask >> 6, mask & 0b111111
if hour < 12 and minute < 60: # 4 bits reach 15, 6 bits reach 63
times.append(f"{hour}:{minute:02d}")
 

mask >> 6 drops the 6 minute bits and leaves the hour; mask & 0b111111 keeps only the minute bits. The range check matters: a field of 4 bits can hold 12 to 15, which are not hours, and 6 bits can hold 60 to 63, which are not minutes.

💡 Summary

Small n plus "try every combination" means: loop over range(1 << n), read the subset from the bits, and validate each decoded field. 210=10242^{10} = 1024210=1024 masks with a 10-bit popcount each is a fixed amount of work.

  • Skipping the range check: hour < 12 and minute < 60 must follow the split. For turnedOn = 2 the mask 1100 000000 decodes to hour 12, and for turnedOn = 4 the minute bits 111100 decode to 60; both are impossible times.

  • Wrong field split: the hour is the top 4 bits, mask >> 6; the minute is the low 6 bits, mask & 0b111111 (63). Using mask & 0b1111 or mask >> 4 mixes hour and minute LEDs.

  • Formatting: the minute needs two digits (f"{minute:02d}") and the hour none extra ("1:00", not "01:00").

  • Forgetting turnedOn = 0: the empty pattern, mask 0, is the valid time "0:00"; range(1 << 10) starts at 0, so it is included.

Senior SWE Reasoning Architecture

4-Phase Thought Process Model

You will see how a senior engineer spots a bitmask enumeration and names its one real trap.

Pattern Recognition Signals

The 10-second spot

"10 LEDs", each on or off, and "return all possible times": a small, fixed set of on/off items where you must try every combination. With n = 10 there are only 1024 subsets, so each subset can simply be a number: Bitmask Subsets.

Formulating the Predicate & Invariants

Turning intuition into a boolean rule

Bit i of mask is on exactly when LED i is lit, so range(1 << 10) visits each pattern once; a pattern is kept when bin(mask).count("1") == turnedOn and its decoded hour, minute = mask >> 6, mask & 0b111111 pass hour < 12 and minute < 60.

Silent Failure Traps & Edge Cases

Where confident candidates still lose points

  • if hour < 12 and minute < 60:: check each field after the split, because 4 bits reach 15 and 6 bits reach 63 (turnedOn = 2 already produces hour 12).

  • hour, minute = mask >> 6, mask & 0b111111: the hour is the top 4 bits, the minute the low 6; any other split mixes the two rows of LEDs.

  • f"{hour}:{minute:02d}": two-digit minute, no leading zero on the hour.

The 60-Second Interview Pitch

Say this out loud before you type a single line

I'd treat this as Bitmask Subsets. The watch has ten LEDs, so every pattern of lit LEDs is one number from 0 to 1023, with bit i on when LED i is lit. I loop over all 1024 masks and keep the ones whose popcount equals turnedOn. Then I decode: the top four bits, mask shifted right by six, are the hour, and the low six bits, mask and 63, are the minute. The trap is validation: four bits can spell up to 15 and six bits up to 63, so I keep a time only when the hour is below 12 and the minute below 60, and I format the minute with two digits. Each subset is one number, so every pattern is checked exactly once. It's 1024 masks with a 10-bit popcount each, a constant amount of work, and constant extra space beyond the answer.

So: 10 LEDs means 1024 masks; filter by popcount, split with >> 6 and & 0b111111, and range-check both fields.

Big-O Invariant Derivation

Complexity & Mathematical Proof

TIME COMPLEXITY

O(B * 2^B), B = 10 LEDs

Look at the code: for mask in range(1 << 10) runs 2^B = 1024 times. Each iteration builds bin(mask) and counts its 1s in O(B), then does a shift, a mask and two comparisons in O(1). Total: O(B * 2^B) = about 10,000 basic steps, whatever turnedOn is.

SPACE COMPLEXITY

O(1) extra, output not counted

Apart from the answer, the loop keeps mask, hour and minute and a short bin string of at most B + 2 characters: O(1) extra. The answer holds at most 720 times (12 hours x 60 minutes) and is not counted.

Formal Recurrence Relation

T = 2^B · O(B) = O(B · 2^B), B = 10

Look at the code: for mask in range(1 << 10) runs 2^B = 1024 times. Each iteration builds bin(mask) and counts its 1s in O(B), then does a shift, a mask and two comparisons in O(1). Total: O(B * 2^B) = about 10,000 basic steps, whatever turnedOn is.

Derivation Progression

Enumerate masks

2^B = 1024 iterations

for mask in range(1 << 10) visits every LED pattern once.

Popcount

O(B) per mask

bin(mask).count("1") looks at each of the B bits.

Decode and check

O(1) per kept mask

One shift, one AND, two comparisons and a short format.

Total

O(B · 2^B)

About 10,000 steps: a constant, independent of turnedOn.

Variable Definitions

BBB

Number of LEDs (bits), 10 on this watch

maskmaskmask

One pattern of lit LEDs, a number from 0 to 2^B - 1

Memory Architecture & Bounds

🟣 Call Stack

O(1) Iterative, no recursion

🔵 Auxiliary Heap

O(1): mask, hour, minute, one bin string

🟢 Output Space

At most 720 time strings (not counted)

Boundary Best / Worst Cases

Best Case

O(B⋅2B)O(B \cdot 2^B)O(B⋅2B): all masks are visited even when turnedOn is 0 or 10

Average Case

O(B⋅2B)O(B \cdot 2^B)O(B⋅2B)

Worst Case

O(B⋅2B)O(B \cdot 2^B)O(B⋅2B)

Pointer Invariant Transition Progression

Pointer Invariant Transition Progression
Synthesizing vector architecture diagram...
Staff+ Engineering Perspective

Senior SWE Deconstruction & Hardware Caveats

ARCHITECTURAL SIGNALS & INTERVIEW TRIGGERS

Triggers: "4 LEDs for the hour, 6 for the minute", "every time the watch could show". A fixed, tiny set of on/off items (10 bits) and an "every combination" question: Bitmask Subsets, one number per subset.

CONSTRAINTS & BOUNDS

0≤0 \le0≤ turnedOn ≤10\le 10≤10 and exactly B=10B = 10B=10 bits, so 210=10242^{10} = 1024210=1024 masks: constant work. Bitmask enumeration stays practical up to about n=20n = 20n=20 items (10610^6106 masks).

FAANG PRODUCTION TRAPS & EDGE CASES

Decoded fields must be range-checked (hour 12-15 and minute 60-63 are representable but invalid). In production bit fields, the same rule holds for any packed register or flag word: validate every field after masking, since reserved or out-of-range values can be encoded.

Core Algorithmic State Invariants

1. One Number per Subset

Bit `i` of `mask` is on exactly when LED `i` is lit, so every number in `range(1 << 10)` is one LED pattern and every pattern appears once.

2. Decode, Then Validate

`hour = mask >> 6` and `minute = mask & 0b111111` split the packed fields; a pattern is a real time only if `hour < 12 and minute < 60`, since 4 bits reach 15 and 6 bits reach 63.

3. Fixed Work

1024 masks, each with an O(10) popcount: O(B * 2^B) with B = 10, constant time and O(1) extra space.

Theory Context•Bit Manipulation
EasyLC 401

Binary Watch (LeetCode 401)

You will see how treating every LED pattern as one 10-bit number turns Binary Watch into a single loop over 1024 masks.

Target Frequency:GoogleAmazonApple

A binary watch shows the time with 10 LEDs. Four LEDs on the top encode the hour (0 to 11) and six LEDs on the bottom encode the minute (0 to 59); each LED is one bit, with the lowest bit on the right.

Given turnedOn, the number of LEDs that are lit, return every time the watch could be showing, in any order. Write the hour without a leading zero ("1:00", never "01:00") and the minute with exactly two digits ("10:02", never "10:2").

Worked Examples

Example 1
Input:turnedOn = 1
Output:["0:01","0:02","0:04","0:08","0:16","0:32","1:00","2:00","4:00","8:00"]
8041221332416586472819hour LEDsminute LEDs
Explanation: One lit LED is a single minute bit (1, 2, 4, 8, 16 or 32 minutes) or a single hour bit (1, 2, 4 or 8 o'clock).
Example 2
Input:turnedOn = 9
Output:[]
Explanation: No valid time lights more than 8 LEDs (`11:59` lights 3 + 5), so 9 lit LEDs can't show a real time.

⚖️Formal Constraints & Bounds

  • 0 <= turnedOn <= 10

Deep-Dive & Conceptual Insights

Why It Works & Core Invariant

There are only 2^10 patterns of lit LEDs, and each is a number: test every mask, keep the ones with turnedOn bits, and decode the hour and minute fields with a shift and a mask, checking each field's range.

Real-World Scenario & Production Applications

Feature flags, permission sets and hardware status registers are all packed into integers, one bit per option. Enumerating every combination of a few flags (for example, to test each configuration) is a loop over range(1 << n), and decoding a register means shifting and masking its fields, then validating each one.

Subproblems & Recurrence Decomposition3 Phases

🧩Subproblem 1: Bitwise State Invariant

Leverage bitwise properties: x ^ x = 0 (cancellation), n & (n - 1) (clears lowest set bit), or right-shift induction dp[i] = dp[i >> 1] + (i & 1).

Mathematical Recurrence / Code Invariant
# Brian Kernighan Bit-Clearing:
# n & (n - 1) clears lowest set bit in O(1)

Step-by-Step Execution Trace Table

Input turnedOn = 2: only masks with exactly two 1 bits pass the popcount check (45 of the 1024).

mask (binary, hour bits | minute bits)hour = mask >> 6minute = mask & 0b111111hour < 12 and minute < 60?Action
0000 | 000011 = 303Yesappend "0:03"
0000 | 000101 = 505Yesappend "0:05"
...
0000 | 110000 = 48048Yesappend "0:48"
0001 | 000001 = 6511Yesappend "1:01"
...
1100 | 000000 = 768120No (hour 12)skip: 4 bits can spell 12
End44 times returned
Scroll horizontally to see all columns, or expand to full screen
Core Invariant Specification & Code Shape
Archetype Code Shape
Python
1Every pattern of the 10 LEDs is one number from 0 to 1023: bit `i` is on when LED `i` is lit.
2Keep a mask only when `bin(mask).count("1") == turnedOn`; its top 4 bits are the hour (`mask >> 6`) and its low 6 bits the minute (`mask & 0b111111`).
3Loop `for mask in range(1 << 10)`, skip wrong popcounts, split into `hour, minute`, check the ranges, append `f"{hour}:{minute:02d}"`, return the list.
4The trap: check `hour < 12 and minute < 60` after splitting, because 4 bits reach 15 and 6 bits reach 63.

Target: Binary Watch (LeetCode 401). The 10 LEDs are the items, so the 1024 masks are every possible pattern of lit LEDs, each visited once.

Boundary Model: Word-Level Parallel Bitwise State Machine

Bit positions are independent channels processed simultaneously in 1 CPU cycle. n & (n - 1) clears lowest set bit; x ^ x = 0 cancels pairs.

Loop Invariant Termination

while n > 0: n &= n - 1 (terminates after K cycles, K = set bits); or O(1) bitwise expressions.

Conceptual Narrative

🧭 Conceptual Foundation & Pattern Intuition

When a problem has only a handful of on/off items, every subset is just a number. Give item i bit i: a number whose bit i is 1 means "item i is chosen". The subsets of n items are then exactly the numbers 0 .. 2^n - 1, so one for mask in range(1 << n) loop visits each subset once, with no recursion and no duplicates. Binary Watch is the purest case: the 10 LEDs are the items, and a lit LED is a 1 bit.

🏟️ The Analogy: A Row of Light Switches

Ten switches on a wall are a 10-digit binary number. Counting from 0 to 1023 flips them through every possible pattern exactly once. Reading the pattern back is just as easy: the left 4 switches spell the hour in binary, the right 6 spell the minute.

🪄 The Mathematical Harmony / Magic Trick
Code / Blueprint
for mask in range(1 << 10): # every pattern of 10 LEDs
if bin(mask).count("1") != turnedOn: # popcount = lit LEDs
continue
hour, minute = mask >> 6, mask & 0b111111
if hour < 12 and minute < 60: # 4 bits reach 15, 6 bits reach 63
times.append(f"{hour}:{minute:02d}")
 

mask >> 6 drops the 6 minute bits and leaves the hour; mask & 0b111111 keeps only the minute bits. The range check matters: a field of 4 bits can hold 12 to 15, which are not hours, and 6 bits can hold 60 to 63, which are not minutes.

💡 Summary

Small n plus "try every combination" means: loop over range(1 << n), read the subset from the bits, and validate each decoded field. 210=10242^{10} = 1024210=1024 masks with a 10-bit popcount each is a fixed amount of work.

  • Skipping the range check: hour < 12 and minute < 60 must follow the split. For turnedOn = 2 the mask 1100 000000 decodes to hour 12, and for turnedOn = 4 the minute bits 111100 decode to 60; both are impossible times.

  • Wrong field split: the hour is the top 4 bits, mask >> 6; the minute is the low 6 bits, mask & 0b111111 (63). Using mask & 0b1111 or mask >> 4 mixes hour and minute LEDs.

  • Formatting: the minute needs two digits (f"{minute:02d}") and the hour none extra ("1:00", not "01:00").

  • Forgetting turnedOn = 0: the empty pattern, mask 0, is the valid time "0:00"; range(1 << 10) starts at 0, so it is included.

Senior SWE Reasoning Architecture

4-Phase Thought Process Model

You will see how a senior engineer spots a bitmask enumeration and names its one real trap.

Pattern Recognition Signals

The 10-second spot

"10 LEDs", each on or off, and "return all possible times": a small, fixed set of on/off items where you must try every combination. With n = 10 there are only 1024 subsets, so each subset can simply be a number: Bitmask Subsets.

Formulating the Predicate & Invariants

Turning intuition into a boolean rule

Bit i of mask is on exactly when LED i is lit, so range(1 << 10) visits each pattern once; a pattern is kept when bin(mask).count("1") == turnedOn and its decoded hour, minute = mask >> 6, mask & 0b111111 pass hour < 12 and minute < 60.

Silent Failure Traps & Edge Cases

Where confident candidates still lose points

  • if hour < 12 and minute < 60:: check each field after the split, because 4 bits reach 15 and 6 bits reach 63 (turnedOn = 2 already produces hour 12).

  • hour, minute = mask >> 6, mask & 0b111111: the hour is the top 4 bits, the minute the low 6; any other split mixes the two rows of LEDs.

  • f"{hour}:{minute:02d}": two-digit minute, no leading zero on the hour.

The 60-Second Interview Pitch

Say this out loud before you type a single line

I'd treat this as Bitmask Subsets. The watch has ten LEDs, so every pattern of lit LEDs is one number from 0 to 1023, with bit i on when LED i is lit. I loop over all 1024 masks and keep the ones whose popcount equals turnedOn. Then I decode: the top four bits, mask shifted right by six, are the hour, and the low six bits, mask and 63, are the minute. The trap is validation: four bits can spell up to 15 and six bits up to 63, so I keep a time only when the hour is below 12 and the minute below 60, and I format the minute with two digits. Each subset is one number, so every pattern is checked exactly once. It's 1024 masks with a 10-bit popcount each, a constant amount of work, and constant extra space beyond the answer.

So: 10 LEDs means 1024 masks; filter by popcount, split with >> 6 and & 0b111111, and range-check both fields.

Big-O Invariant Derivation

Complexity & Mathematical Proof

TIME COMPLEXITY

O(B * 2^B), B = 10 LEDs

Look at the code: for mask in range(1 << 10) runs 2^B = 1024 times. Each iteration builds bin(mask) and counts its 1s in O(B), then does a shift, a mask and two comparisons in O(1). Total: O(B * 2^B) = about 10,000 basic steps, whatever turnedOn is.

SPACE COMPLEXITY

O(1) extra, output not counted

Apart from the answer, the loop keeps mask, hour and minute and a short bin string of at most B + 2 characters: O(1) extra. The answer holds at most 720 times (12 hours x 60 minutes) and is not counted.

Formal Recurrence Relation

T = 2^B · O(B) = O(B · 2^B), B = 10

Look at the code: for mask in range(1 << 10) runs 2^B = 1024 times. Each iteration builds bin(mask) and counts its 1s in O(B), then does a shift, a mask and two comparisons in O(1). Total: O(B * 2^B) = about 10,000 basic steps, whatever turnedOn is.

Derivation Progression

Enumerate masks

2^B = 1024 iterations

for mask in range(1 << 10) visits every LED pattern once.

Popcount

O(B) per mask

bin(mask).count("1") looks at each of the B bits.

Decode and check

O(1) per kept mask

One shift, one AND, two comparisons and a short format.

Total

O(B · 2^B)

About 10,000 steps: a constant, independent of turnedOn.

Variable Definitions

BBB

Number of LEDs (bits), 10 on this watch

maskmaskmask

One pattern of lit LEDs, a number from 0 to 2^B - 1

Memory Architecture & Bounds

🟣 Call Stack

O(1) Iterative, no recursion

🔵 Auxiliary Heap

O(1): mask, hour, minute, one bin string

🟢 Output Space

At most 720 time strings (not counted)

Boundary Best / Worst Cases

Best Case

O(B⋅2B)O(B \cdot 2^B)O(B⋅2B): all masks are visited even when turnedOn is 0 or 10

Average Case

O(B⋅2B)O(B \cdot 2^B)O(B⋅2B)

Worst Case

O(B⋅2B)O(B \cdot 2^B)O(B⋅2B)

Pointer Invariant Transition Progression

Pointer Invariant Transition Progression
Synthesizing vector architecture diagram...
Staff+ Engineering Perspective

Senior SWE Deconstruction & Hardware Caveats

ARCHITECTURAL SIGNALS & INTERVIEW TRIGGERS

Triggers: "4 LEDs for the hour, 6 for the minute", "every time the watch could show". A fixed, tiny set of on/off items (10 bits) and an "every combination" question: Bitmask Subsets, one number per subset.

CONSTRAINTS & BOUNDS

0≤0 \le0≤ turnedOn ≤10\le 10≤10 and exactly B=10B = 10B=10 bits, so 210=10242^{10} = 1024210=1024 masks: constant work. Bitmask enumeration stays practical up to about n=20n = 20n=20 items (10610^6106 masks).

FAANG PRODUCTION TRAPS & EDGE CASES

Decoded fields must be range-checked (hour 12-15 and minute 60-63 are representable but invalid). In production bit fields, the same rule holds for any packed register or flag word: validate every field after masking, since reserved or out-of-range values can be encoded.

Core Algorithmic State Invariants

1. One Number per Subset

Bit `i` of `mask` is on exactly when LED `i` is lit, so every number in `range(1 << 10)` is one LED pattern and every pattern appears once.

2. Decode, Then Validate

`hour = mask >> 6` and `minute = mask & 0b111111` split the packed fields; a pattern is a real time only if `hour < 12 and minute < 60`, since 4 bits reach 15 and 6 bits reach 63.

3. Fixed Work

1024 masks, each with an O(10) popcount: O(B * 2^B) with B = 10, constant time and O(1) extra space.

Rosetta Dual-Monaco Comparison
Python 3
CANONICAL INVARIANT TEMPLATE
Loading...
CONCRETE: BINARY WATCH (LEETCODE 401)
T = O(B * 2^B), B = 10 LEDsS = O(1) extra, output not counted
Loading...
Pattern Implementation Mapping TableCanonical Invariant ⟷ Concrete Code ⟷ Engineering Rationale
Canonical InvariantConcrete CodeEngineering Rationale
Every subset of n items is one number in range(1 << n)for mask in range(1 << 10):The 10 LEDs are the items, so the 1024 masks are every possible pattern of lit LEDs, each visited once.
Count the items in a subset with popcountif bin(mask).count("1") != turnedOn: continueOnly patterns with exactly turnedOn lit LEDs can be on the watch.
Decode the fields packed in the maskhour, minute = mask >> 6, mask & 0b111111Shifting right by 6 drops the minute bits; masking with 0b111111 keeps only them.
Validate every decoded fieldif hour < 12 and minute < 60:Four bits can spell 12 to 15 and six bits 60 to 63; those patterns are not real times.
Build the answer in the required formattimes.append(f"{hour}:{minute:02d}")No leading zero on the hour, exactly two digits for the minute.
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