Quera Solutions

Personal solutions to Quera programming problems, organized by topic. New solutions are written in C++; some existing solutions use Python.

Browse solutions

Directory	Topic
graph	Graph algorithms
dp	Dynamic programming
ds	Data structures
greedy	Greedy algorithms
tech	Technology and implementation challenges

Each source file is a standalone solution. Filenames generally use transliterated problem names.

Run a solution

Compile and run a C++ solution with a C++17-compatible compiler:

g++ -std=c++17 -O2 -Wall -Wextra graph/kando.cpp -o /tmp/quera-solution
/tmp/quera-solution < input.txt

Run a Python solution:

python3 ds/ramz.py < input.txt

Replace the source path with the problem you want to run and provide its input in input.txt.

Solution workflow

Discuss the model, algorithm, correctness argument, and complexity together. The assistant then writes and tests the implementation. Commit and push each completed, understood solution with its Quera problem URL and concise English explanation in source comments.

The tracked repository contains completed problem solutions and repository metadata. Study plans, lesson notes, problem queues, and learning progress live in a local, Git-ignored docs/ directory. Documentation and code explanations are in English; learning discussions are in Persian.

Local test results and acceptance by the Quera judge are recorded separately. Existing solutions have not been collectively revalidated.