# Evilnkode Project This README provides instructions for setting up and running the `evilnkode` project using Conda, activating the environment, and executing the provided CLI scripts. It also covers how to access help for command-line options. ## Prerequisites - **Conda**: Ensure you have Conda installed (Miniconda or Anaconda). Download from [conda.io](https://conda.io). ## Setting Up the Environment To set up the project environment using the provided `environment.yaml` file, follow these steps: 1. **Install the environment**: - Ensure you are in the project root directory where `environment.yaml` is located. - Run the following command to create the `evilnkode` environment: ```bash conda env create -f environment.yaml ``` - This will install all dependencies specified in `environment.yaml`. ## Activating the Environment To activate the `evilnkode` environment, run: ```bash conda activate evilnkode ``` Once activated, your terminal prompt should change to include `(evilnkode)`, indicating the environment is active. ## Running CLI Scripts The project includes two main CLI scripts: `cli.visualnkode` and `cli.benchmark_histogram`. Below are instructions to run each. ### Running `cli.visualnkode` To execute the `visualnkode` CLI script: ```bash python -m cli.visualnkode ``` - This command runs the `visualnkode` module from the `cli` package. - To view available options and arguments, use the `-help` flag: ```bash python -m cli.visualnkode -help ``` ### Running `cli.benchmark_histogram` To execute the `benchmark_histogram` CLI script: ```bash python -m cli.benchmark_histogram ``` - This command runs the `benchmark_histogram` module, which may generate output such as benchmark results or histograms. For example, it might produce output like: ``` File exists: output/slidingtowershufflekeypad-6-8-4-5-4-4-10000/benchmark/slidingtowershufflekeypad-6-8-4-5-4-4-10000.pkl Bench SlidingTowerShuffle Break 5 Bench SlidingTowerShuffle Replay 5 ``` - To view available options and arguments, use the `-help` flag: ```bash python -m cli.benchmark_histogram -help ``` ## Using the `-help` Flag Both CLI scripts (`cli.visualnkode` and `cli.benchmark_histogram`) support a `-help` flag to display available command-line options and their descriptions. Run the following to explore options for each script: ```bash python -m cli.visualnkode -help python -m cli.benchmark_histogram -help ``` This will provide detailed information about parameters, flags, and usage for each script. ## Project Structure Key files and directories in the project: - `environment.yaml`: Conda environment configuration file. - `cli/`: Contains CLI scripts (`visualnkode` and `benchmark_histogram`). - `output/`: Directory where script outputs, such as benchmark results, are stored. - `src/`: Source code for the project. - `tests/`: Test scripts for the project. - `requirements.txt`: Additional dependencies (if needed outside Conda). For further details, explore the project documentation in the `docs/` directory.