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evilnkode/README.md
2025-09-09 18:22:22 +00:00

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# 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.