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Configure Git to use a proxy

In Brief

You may need to configure a proxy server if you're having trouble cloning or fetching from a remote repository or getting an error like unable to access '...' Couldn't resolve host '...'.

Consider something like:

	bl_info = {
	"name": "MY_SMPL_FRAMES_ANIMATION",
	"blender": (4, 0, 0),
	"category": "Object",
	}


	import bpy
	import os

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

	TARGET = 2.7
	LR = 1
	l1 = lambda hypo, target: (hypo - target).abs()
	l2 = lambda hypo, target: (hypo - target) ** 2

	weights_init = torch.ones(1, 4) + torch.rand(1, 4)

	#from this: https://blender.stackexchange.com/a/231881

	import bpy
	import gpu

	# Draw function which copies data from the 3D View
	def draw(self, context):

	if self.modal_redraw == True:

	import random
	from scapy.all import *

	# Function to generate a random MAC address
	def random_mac():
	return "02:%02x:%02x:%02x:%02x:%02x" % (
	random.randint(0, 255),
	random.randint(0, 255),
	random.randint(0, 255),
	random.randint(0, 255),

	//source from: https://stackoverflow.com/a/68178683/19835902

	using System.IO;
	using UnityEditor;
	using UnityEngine;

	public class AnimationExtractor: MonoBehaviour
	{
	[MenuItem("Assets/Extract Animation")]
	private static void ExtractAnimation()


	import os, ssl, certifi
	# adress
	host, port = "baidu.com", "443"
	# the ca relative path
	ca_certs=os.path.relpath(certifi.where())
	# Retrieve the server certificate, validate the certificate by specify the ca_certs arg
	cert = ssl.get_server_certificate((host, port), ca_certs=ca_certs)
	# print the cert
	print(cert)

	#%%
	import numpy as np
	from hmmlearn import hmm

	#%%
	states = ["Rainy", "Sunny"]
	n_states = len(states)

	observations = ["walk", "shop", "clean"]
	n_observations = len(observations)