Chris Tralie ctralie

For more info on some of these steps, visit https://mrchromebox.tech

First boot

	import torch
	import numpy as np
	import matplotlib.pyplot as plt

	offsets = [torch.zeros(3), torch.tensor([1, 0, 0]), torch.tensor([1, 0, 0]), torch.tensor([1, 0, 0])]
	Rs = [torch.eye(3)[:, 0:2] for _ in range(len(offsets))]
	for i in range(len(Rs)-1):
	Rs[i] = Rs[i].requires_grad_()

	def get_positions(offsets, Rs):

	"""
	Programmer: Chris Tralie

	Purpose: To provide a basic ordered merge tree class for interval and circular domains,
	along with methods to construct the merge tree from a time series, to plot it and
	its associated persistence diagram, and to simplify the merge trees by persistence
	"""

	import numpy as np
	import matplotlib.pyplot as plt