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TouchDesigner Summit 2019 External Python Libraries Artist InstructorsMatthew Ragan Zoe Sandoval Materializing Interactive Research Dependencies.Recommended ToolsHaving an external text editor is key to lots of work in Touch. I like VS Code these days, though Sublime is also a solid choice.Before the WorkshopBefore we meet there are a few things to make sure you’ve got in place. Here’s a quick run down of the pieces to make sure are in order before the workshop.Required. Make sure you’ve updated to the most recent stable build of TouchDesigner 099. Download and install python 3.5.1. There's a link above to make sure you have the right version of Python.

This version matches the same version Touch uses and will make sure we don't have any major hiccups while we're working together. Download the github repo linked above. We’ll be working with some files that are already set-up so we don’t have to make everything from scratch so it will be important to have these elements in place. Make sure you have your laptop charger packed in your bag:)Suggested. Download and install a text editor - you don’t need this, but it will make a world of difference when working with lots of Python. Import time time. Sleep( 5)What you'll see happen next in Touch is that the time-line will freeze, and you might even get a wonderful little spinning icon.

Time.sleep(5) is a Pythonic way of saying 'wait 5 seconds, then move on. What that means in Touch, however, is that we stop everything (even updating our rendering) for that 5 seconds. Because Touch is largely single threaded, this can have major performance implications. The last thing any of us want is for everything to freeze suddenly, or for frames to drop out of nowhere. ALl of this to say that how we use Python in Touch matters, and when we choose to do something in Touch or Outside of Touch often depends on what we're trying to do, and how it connects to our application as a whole. Inside or Outside of Touch.' How do I know if I should do something in Touch, or with a separate system call?'

That's a hard question, and to get to an answer there are a few things we can think about:. Is this in a project that needs a constantly updating output?.

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Is this operation something that happens only during configuration / offline mode, or during a show?. What's my tolerance for stutters or dropped frames?. Do I need feedback that this process has completed?If you've got an expensive Python operation that you have to run doing a live-set, or during performance critical moments you should definitly look at subprocess call or running those pieces in another touch project. If you can't have dropped frames then it's worth thinking hard about whether you need this feature, or how to make it work in a way that won't interrupt your output.If the operation happens during calibration or configuration and happens to be slow, then you might be just fine. Web services can be very tricky here.

Depending on your network configuration you can easily end up in a situation where touch is waiting for a reply from a remote server, and that can look like a frozen UI. If that's a dealbreaker, then it's time to look at other options for how to handle the operation in question. Other options include.Okay, so what do we do if we end up with one of these deal breakers? Well, there are a few directions we can go. ThreadsYou can run an operation in another thread - though for this to work you have to be dealing with pure python. If you're working with operators in anyway in threads, you will definitely crash at some point. There are some ways around this, but it's dangerous waters so save often and know that strange things will happen.

SubprocessYou can use use a subprocess call - in other words, write a python script in a text file, and then ask your operating system to run that file. There are great ways to pass in arguments in those situations, and if you really need data there are ways to get a response before the process quits.

This can be a very flexible solution for a number of situations, and worth looking into if you want something that's non-blocking and can be run outside of TouchDesigner.If you want to learn more Python Stand alonesYou can also always write a little python script that just runs in the background. There are plenty of ways for sending data to and from these kinds of applications, so this is a solid option - but it will require some time devoted to developing your Python-fu.

Setting up Python on your MachineInstall python 3.5.1 WindowsUpdate pippython -m pip install -user -upgrade pip MacMake sure you have pipcurl -o get-pip.py python3 get-pip.pyUpdate pippython3 -m pip install -user -upgrade pipNavigate to the folder in TerminalSet permissions so the file can be execuatablechmod +x myfile.sh Installing an External LibraryIf you're doing some exploration on your own machine it's often very tempting to use the fast and easy process of installing a library with pip's straightforward installation calls. That often looks something like this as a command line operation:pip install numpyBoom! Easy, to the point, and fast. Why bother with anything else?Well, there is a lot going on here. And what our process will look like will actually look like a command string like this:Windowspy -3.5 pip install -r pathtoour/requirements.txt -target='pathtoantargetdir/dep/python'Macpython3 pip install -r pathtoour/requirements.txt -target='pathtoantargetdir/dep/python' That Escalated QuicklyTotes. I know.But there's some good reasons for all that extra business in there.

First we want to make sure that we're targeting a specific version of Python - the version that matches what TouchDesigner is using. Next we want to use a requirements file that lists all of the libraries we want to use, and finally we want to specify where all of those files are going to live when we pull them from the internet.

Making sure we're specific and focused here will help ensure that we can replicate our results across machines, and keep us from midnight trouble shooting a silly library installation that got off the rails. Wait, who is pip?pip is the Python package manger. This handy tool helps use collect all the files we might need for a particular library, install them, and update if necessary. You could certainly do this manually, but it wouldn't be any fun. Pip comes along with our installation of Python 3.5+ so we shouldn't have to do much extra work to get this up and running - MacOS users we have a little more work to do, but it's only a few extra lines to get us set-up. Why use a requirements.txtTaking advantage of some built in features for pip (the Python package manager) we can even make parts of our process easy to automate and replicate across projects. When using the -r flag that you see in the command string above, we can point to a file that lists all of the packages we want to install.

Let's say, for example we're doing some fancy and exciting python business and we need to install both sklearn and scipy. Rather than running two different installation commands, we can instead put both of these packages on their own lines in a text file ( requirements.txt), and when we pull our packages, pip will gather all of the pieces we need. This not only helps us stay organized, but it will make this whole process easier for us to manage if we need to move our project from a development machine to production hardware.

Why Use a Target LocationThe words I dread more than anything when it comes to try to replicate functionality with an external python library are:'It works on my machine' ‾(ツ)/‾Few comments are infuriating as that one.No matter what side of that exchange you happen to be on, it's a bummer. If you're the one saying those magic words, it's hard to understand / know what might be different on another person's hardware. Somehow, you managed to get it working, and trouble shooting what's happening on another machine (that you maybe can't even touch) is rough rough business.

At the same time, when someone says those magic words to you. Well, you're on your own explorer. It's working somewhere out in the universe, but who knows if you'll ever manage to get it working on your stack of hardware.In the pure Python universe, folks use things like virtual environments to help with this problem. A virtual environment gives you a cleanly isolated working space where hopefully you can manage to work in a way that's replicable in production.' So can't we just use a venv (virtual environment) then?' Malcom has a great reply on the forum about just that challenge:I spent a bit of time looking at this, and the issue is that TD doesn't launch a python.exe, TouchDesigner.exe IS python.exe for all intents and purposes.

So the venv tools that Python provides don't really help us with this.

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