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README.md
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README.md
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# Coding Tools
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Tools that I wrote to help me code faster and more efficiently.
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All of these require `python>=3.6`.
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## [Ucompile](ucompile)
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Pronounced "you compile", stands for "University Compiler". It is a simple script that compiles and runs programs in one line. It also automatically takes all `.in` files in the directory and feeds them to the program. It is useful for competitive programming and for testing programs with multiple test cases.
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Currently supports:
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- C (`.c`)
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- Python (`.py`) (with Python 3 and PyPy3)
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- Java (`.java`)
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- Haskell (`.hs`)
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Optional arguments:
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- `-o` checks the output of the program against the `.out` files in the directory
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- `-v, --verbose` prints the output of the program
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- `-a` uses an alternative compiler (e.g. `mvn` instead of `javac`)
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- `-t, --tests` specifies a test case folder (default is `.`, the current directory)
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- `-T, --time` prints the time taken to run the program
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The program is integrated with [temmies](https://github.com/Code-For-Groningen/temmies) for automatic [Themis](https://themis.housing.rug.nl/) submission.
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## [unifytex](unifytex)
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is a script designed to automate the process of generating separate LaTeX include files for `.tex` files in a directory, making it easier to manage large LaTeX projects. It recursively scans a specified directory and creates consolidated `.tex` files that include all the LaTeX files within each subdirectory.
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(EXAMPLE) If the directory structure is:
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```
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/project
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├── section1
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│ ├── intro.tex
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│ ├── methods.tex
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├── section2
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│ ├── results.tex
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│ ├── discussion.tex
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```
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Running:
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```bash
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python3 unifytex.py /project
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```
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Will create:
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```
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/project/consolidated
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├── section1.tex (contains \input{section1/intro.tex} and \input{section1/methods.tex})
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├── section2.tex (contains \input{section2/results.tex} and \input{section2/discussion.tex})
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```
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This allows you to include an entire section in your main LaTeX document with:
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```latex
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\input{consolidated/section1.tex}
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```
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## [flatcher](flatcher)
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Flask + Catcher = Flatcher. A simple script that runs a Flask server and catches all requests to a specified port, detailing the request method, path, and headers. Useful for debugging and testing webhooks.
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> [!IMPORTANT]
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> This script requires Flask to be installed. You can install it with `pip install Flask`.
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flatcher
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flatcher
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#!/usr/bin/python
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from flask import Flask, request
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app = Flask(__name__)
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@app.route('/', defaults={'path': ''}, methods=['GET', 'POST', 'PUT', 'DELETE', 'PATCH', 'OPTIONS'])
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@app.route('/<path:path>', methods=['GET', 'POST', 'PUT', 'DELETE', 'PATCH', 'OPTIONS'])
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def capture_request(path):
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"""
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This route captures all requests, regardless of method or path.
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"""
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print(f"Request Path: {request.path}")
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print(f"Request Method: {request.method}")
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print(f"Request Headers: {dict(request.headers)}")
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print(f"Request Body: {request.get_data(as_text=True)}")
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return "Request captured and printed to the console!", 200
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if __name__ == '__main__':
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app.run(debug=True, host='0.0.0.0', port=5000)
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