Introducing trimtrain: An Efficient Tool for Space Normalization

trimtrain allows you to clean and normalize a dataset so that all data is separated by single spaces for further text processing.

Key Features

• Simplicity: trimtrain is designed with simplicity in mind. It does one thing and does it well - normalizing data columns.
• Flexibility: Whether you're working with text files that have spaces or tabs as separators, trimtrain seamlessly handles both, making your data uniformly spaced. The output separator is configurable for different workflows.
• Efficiency: Optimized for performance, trimtrain can process large files quickly, making it a highly useful tool in your data processing toolkit.

Getting Started with trimtrain

Getting trimtrain up and running is straightforward. The utility is written in C++ and can be compiled and installed on any system with a few simple commands. Here's how to get started:

1. Clone the repository: First, clone the trimtrain repository from GitHub:

git clone https://github.com/jac18281828/trimtrain.git
cd trimtrain

1. Build trimtrain: Compile the source code using the make command:

mkdir -p build
cmake -H. -Bbuild -DPROJECT_NAME=trimtrain -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_VERBOSE_MAKEFILE=on -Wno-dev "-GUnix Makefiles"
make -j

1. Install: Finally, install trimtrain into your system's standard executable path:

sudo make install

Once installed, using trimtrain is as simple as piping input into it. For more detailed usage instructions, refer to the README file in the GitHub repository.

Contributing to trimtrain

trimtrain is open-source and community-driven. Contributions are not only welcome but also encouraged. Whether you're interested in fixing bugs, suggesting enhancements, or adding new features, your input is valuable.

Conclusion

trimtrain is a simple yet powerful utility for normalizing space separated data.