jlines

# Credit for training code goes to the PyTorch documentation:
# https://pytorch.org/tutorials/beginner/pytorch_with_examples.html by Justin Johnson

import numpy as np
import math
import matplotlib.pyplot as plt
import matplotlib.animation as animation

# Create random input and output data
x = np.linspace(-math.pi, math.pi, 2000)

jlines

{
	"swagger": "2.0",
	"info": {
		"title": "SSN API",
		"description": "Deployment services provided by SSN",
		"version": "1.0.0"
	},
	"host": "3gwntvs7mi.execute-api.us-east-1.amazonaws.com",
	"schemes": [
		"https"