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Project 1: Building a High-Performance C++ CLI Text Processor with std::format & Ranges

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Project 1: Building a High-Performance C++ CLI Text Processor with std::format & Ranges
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Project 1: Building a High-Performance C++ CLI Text Processor with std::format & Ranges

Table of Contents

Project Architecture

text




CMakeLists.txt Setup


cmake




Core Types and Interface Design


cpp




Text Analysis: Words, Lines, Characters


cpp




Pattern Search with ANSI Highlighting


cpp




Command-Line Interface with std::print


cpp




Extension Challenges


    

  1. Multi-file pipeline: Accept multiple filenames and aggregate stats across all files
    2. 

  2. Regex search: Replace string_view::find with std::regex or std::basic_regex via Ranges pipeline
    3. 

  3. Output formats: Add --json and --csv flags using std::format output sinks
    4. 

  4. Parallel analysis: Use std::execution::par_unseq with std::reduce for character counting
    5. 

  5. Memory-mapped files: Use mmap/MapViewOfFile for true zero-copy on large files (>100MB)
    6. 





Phase 1 Reflection


You have built a genuine, usable tool that applies every concept from Modules 1–9:


Module ConceptUsed In Project
CMake + Compiler Presets (Module 1)CMakeLists.txt with sanitizers
auto, const, string_view (Module 2)Analysis functions parameters
Stack allocation, RAII (Module 3)std::string content lifetime
Structured bindings (Module 4)for (auto& [word, count] : freq)
noexcept, error handling (Module 5)File reading with exceptions
References, const& (Module 6)TextStats&, SearchResult&
RAII classes (Module 8)std::ifstream auto-close
std::format, std::print (Module 9)All output formatting


Proceed to Phase 2: Memory Layout: Stack vs Heap →




Part of the C++ Mastery Course — 30 modules from modern C++ basics to expert systems engineering.