https://github.com/hhio618/golem-lorenz-attractor

Simulating Lorenz attractor on Golem.network
https://github.com/hhio618/golem-lorenz-attractor

lorenz-attractor scipy simulation

Last synced: about 2 months ago
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Simulating Lorenz attractor on Golem.network

• Host: GitHub
• URL: https://github.com/hhio618/golem-lorenz-attractor
• Owner: hhio618
• License: gpl-3.0
• Created: 2020-10-24T19:58:54.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2020-11-06T09:53:44.000Z (almost 4 years ago)
• Last Synced: 2024-06-11T19:32:27.259Z (3 months ago)
• Topics: lorenz-attractor, scipy, simulation
• Language: Python
• Homepage:
• Size: 13.6 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-golem - Golem Lorenz-attractor - A system of three coupled, first-order, nonlinear differential equations which describe the trajectory of a particle through time. (Archive / Apps)

README

        
# Lorenz attractor on Golem network

![gif animation](./output.gif?raw=true)    

The Lorenz Equations are a system of three coupled, first-order, nonlinear differential equations which describe the trajectory of a particle through time. The system was originally derived by Lorenz as a model of atmospheric convection, but the deceptive simplicity of the equations have made them an often-used example in fields beyond atmospheric physics [[1]](#refs).

## Tutorial (Youtube)

[![Lorenz attractor on Golem network](https://img.youtube.com/vi/SPCUOPL6gqs/0.jpg)](https://youtu.be/SPCUOPL6gqs "Lorenz attractor on Golem network")

## Prerequisites

### Install yagna

```$ sh curl -sSf https://join.golem.network/as-requestor | bash -```

### Install ffmpeg (required for converting png files to gif animation)

```bash

$ sudo apt-get install ffmpeg

```

### Install python requirements

```sh

$ # Using python3.6+

$ source ~/your/virtual/env

$ pip install -r requirements.txt

```

### Build using docker

```sh

$ docker build -t golem-lorenza:latest

```

### Build/push Golem vm

```sh

$ gvmkit-build golem-lorenz:latest

$ gvmkit-build golem-lorenz:latest --push

```

### Run yagna daemon

```sh

$ yagna service run

```

### Run Lorenz attractor on Golem!

```sh

$ yagna app-key create requestor

$ yagna payment init -r

$ export YAGNA_APPKEY=

$ python main.py

usage: main.py [-h] [--output_dir OUTPUT_DIR] [--time_delta TIME_DELTA] [--duration DURATION] [--num_trajectories NUM_TRAJECTORIES]

Lorenz attractor simulation on Golem network

optional arguments:

  -h, --help            show this help message and exit

  --output_dir OUTPUT_DIR, -o OUTPUT_DIR

                        Output directory

  --time_delta TIME_DELTA, -l TIME_DELTA

                        Time delta for changes

  --duration DURATION, -d DURATION

                        Duration (seconds)

  --num_trajectories NUM_TRAJECTORIES, -m NUM_TRAJECTORIES

                        Number of trajectories

```

#### Watch full steps on [Youtube](https://youtu.be/SPCUOPL6gqs)!

### Refs

[1] https://jakevdp.github.io/blog/2013/02/16/animating-the-lorentz-system-in-3d.