Jon Crall Erotemic

I want to write a minimal, reproducible, and configurable minimal example that demonstrates how to create, seed, and download a torrent.

Issue & Question

This is much harder than I anticipated. The command line tooling is weaker than I would have guessed, but it exists, and it should be possible. There are a lot of edge-cases to consider when writing a networking example, and perhaps my difficulty is because I'm hitting one of those. I'm looking for help with writing up this example in a way that helps document what some of the issue

An fully FOSS alternative to a conda environment is pyenv. The only real drawback to pyenv is that you must be able to compile Python itself.

On ubuntu this can be setup as follows:

### Based on code in https://github.com/Erotemic/local/blob/main/tools/pyenv_ext/pyenv_ext_commands.sh

	import torch
	import torch.nn
	from torch import nn
	from torch.utils.data import Dataset
	import numpy as np
	import pytorch_lightning as pl
	from pytorch_lightning.cli import LightningCLI
	from typing import List, Dict

	# The following documents steps I took when following instructions from:
	# https://askubuntu.com/a/1512388/426149

	#===========================================#
	# PART 1 - Test Manual SOCKS5 Configuration #
	#===========================================#

	# Note that all following steps, are done on the local client, the remote
	# just needs to be accessible vis SSH.

	exact_steps_taken(){

	DOMAIN=mlb.com
	echo "DOMAIN = $DOMAIN"
	nslookup "$DOMAIN"
	DOMAIN_ADDRESS=34.102.169.19

	echo "DOMAIN_ADDRESS = $DOMAIN_ADDRESS"

	echo '

	# https://stackoverflow.com/questions/66514500/how-do-i-configure-a-python-server-for-post
	# Run a test server on port 8000
	python -c 'if 1:
	from http.server import BaseHTTPRequestHandler, HTTPServer

	class handler(BaseHTTPRequestHandler):
	def do_GET(self):
	self.send_response(200)
	self.send_header("Content-type", "text/html")
	self.end_headers()

	import torch
	import torch.nn
	from torch import nn
	from torch.utils.data import Dataset
	import numpy as np
	import pytorch_lightning as pl
	from pytorch_lightning.cli import LightningCLI
	from typing import List, Dict

	import jsonargparse
	import inspect
	from jsonargparse.parameter_resolvers import ParamData
	from jsonargparse.signatures import get_signature_parameters
	from jsonargparse.signatures import get_doc_short_description
	from typing import List, Set, Union, Optional, Tuple, Type, Any
	from jsonargparse.util import get_import_path, iter_to_set_str
	from argparse import SUPPRESS
	from jsonargparse.typing import is_final_class

	"""
	make VERSION=us -j16
	build/us_pc/sm64.us

	SeeAlso:
	https://github.com/TechieAndroid/sm64redrawn
	"""
	import ubelt as ub
	import aifc
	import kwimage

	# syntax=docker/dockerfile:1.3.0-labs

	# This dockerfile uses new-ish buildkit syntax.
	# Details on how to run are on the bottom of the file.
	# (docker devs: todo unconsequential heredocs)

	FROM nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04

	ARG PYTHON_VERSION=3.10.5
	ARG PYENV_VERSION=v2.3.3