
  ┃                                                                                               
  ┃  # Merge sort explained with complexity analysis                           10,034  3% ($0.00) 
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  ┃  Thinking: Preparing to run destructive bash command

     $ rm test.txt

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  ┃  Write a comprehensive guide to data structures                                               
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  ┃  Thinking: Planning comprehensive guide structure

     Great topic. Here’s a practical, comprehensive guide that covers the core data structures, 
     how they work, trade-offs, and when to use them.

     Foundations
     - A data structure is a way to organize data so operations like lookup, insert, delete, and 
     traversal are efficient.
     - Always evaluate structures by operation costs, memory overhead, implementation complexity, 
     and correctness constraints.
     - Time complexity is usually given in Big-O (worst-case unless stated otherwise), but 
     constants and cache behavior matter in real systems.
     - Choice should follow access pattern: random access, ordered traversal, frequent inserts/
     deletes, membership checks, range queries, etc.

     Complexity Cheat Sheet
     - n = number of

     ▣  Build · gpt-5.3-codex

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  ┃  Build  GPT-5.3 Codex OpenAI                                                                  
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   ⬝⬝⬝⬝⬝⬝⬝⬝  esc again to interrupt                   ctrl+t variants  tab agents  ctrl+p commands

