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| # EulerMerge | ||
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| This repository comprises two components: | ||
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| - `embedder`: A Java application for generating simplified, unsmoothed Euler diagrams from abstract descriptions of set systems. | ||
| - `smoothEuler`: A Flask project for generating and visualizing smoothed Euler diagrams based on the results obtained from the `embedder`. | ||
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| Download the source code by running the following command in your terminal: | ||
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| ``` | ||
| git clone https://github.com/tdavislab/EulerMerge.git | ||
| ``` | ||
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| ## embedder (Java) | ||
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| * **Input**: The abstract description of a set system, which is specified within the `main` method of `embedder/src/euler/simplify/Simplify.java`. | ||
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| * **Onput**: Running `embedder/src/euler/simplify/Simplify.java` will apply `algorithms 1-5` as described in the paper, and output merge information and JSON files representing the resultant unsmoothed Euler diagram. | ||
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| ## smoothEuler (Flask) | ||
| This folder applies the EulerSmooth algorithm and provides tools for visualizing Euler diagrams, based on the file generated by `embedder`. | ||
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| ### Dependencies | ||
| Before running the project, make sure to install the required Python packages using the following commands: | ||
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| ``` | ||
| pip install flask | ||
| pip install matplotlib | ||
| pip install JPype1 | ||
| pip install networkx | ||
| pip install shapely | ||
| ``` | ||
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| ### Running the code | ||
| ``` | ||
| cd EulerMerge/smoothEuler | ||
| python app.py | ||
| ``` | ||
| After running the above commands, you can access the interative visualization demo by visiting http://127.0.0.1:5000/ on the local machine (If possible, please use Chrome). You will see the interface like the one below. | ||
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|  | ||
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| * `Triangulation` allows to visualize the triangulation of the Euler disgram, which indicate how an Euler diagram is derived. | ||
| * `Zone graph` allows to visualize the zone graph. | ||
| * `Iteration` and `Distance` are parameters of the EulerSmooth algorithm, allowing to control the number of smoothing cycles performed, and the distance between nodes and curves, respectively. |
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| <?xml version="1.0" encoding="UTF-8"?> | ||
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