I have been using a google colab template for iterative LQR that uses the Pydrake, however, it seems like the code repository is removed and I can't reinstall it on google Colab:
try:
import pydrake
import underactuated
except ImportError:
!curl -s https://raw.githubusercontent.com/RussTedrake/underactuated/master/scripts/setup/jupyter_setup.py > jupyter_setup.py
from jupyter_setup import setup_underactuated
setup_underactuated()
# Setup matplotlib backend (to notebook, if possible, or inline).
from underactuated.jupyter import setup_matplotlib_backend
plt_is_interactive = setup_matplotlib_backend()
File "/content/jupyter_setup.py", line 1
404: Not Found
^
SyntaxError: invalid syntax
I tried clicking this link https://raw.githubusercontent.com/RussTedrake/underactuated/master/scripts/setup/jupyter_setup.py, and the page is not found... everything was working fine yesterday
Sorry. You're correct... I updated it this morning, and don't have a good deprecation policy in place on that repo, and this setup script is two versions ago. The path you want is https://raw.githubusercontent.com/RussTedrake/underactuated/master/setup/jupyter_setup.py
(remove the script from the directory). But if you look at that file, you'll see that even that is pointing to an updated setup script which you might want to point to.
This is actually all good news... we are on the path to a much better solution. You can now just pip install drake on colab (see the drake installation guide). Once I land the pip install underactuated (probably in time for my Spring offering of the class), then all of that nasty setup will be gone.
Related
I am trying to run the AdaIN-style model in Google Colab. In order to do this, I need to install Lua. I saw this question and tried the solution given (reproduced below for convenience), both with the given distro and the official torch distro.
%cd /content/
!git clone https://github.com/nagadomi/distro.git torch --recursive
import os
os.chdir('./torch/')
!bash install-deps
!./install.sh
!. ./install/bin/torch-activate
Now it should work using absolute path to th:
!/content/torch/install/bin/th neural_style.lua -style_image examples/inputs/picasso_selfport1907.jpg -content_image examples/inputs/brad_pitt.jpg
However, the last line fails, giving me the below error
/bin/bash: . ./install/bin/torch-activate: No such file or directory
However, the binary for th seems to exist at the given filepath. Thus, I try to run the given command
th test.lua -content input/content/cornell.jpg -style input/style/woman_with_hat_matisse.jpg
but I get the following error
/content/torch/install/bin/luajit: /content/torch/install/share/lua/5.1/trepl/init.lua:389: module 'cudnn' not found:No LuaRocks module found for cudnn
I tried looking this up further, but wasn't able to make much progress.
I also tried this method, which seems similar to the above, but I get the same errors.
Any pointers would be appreciated.
I am using Ubuntu 22.04 LTS via WSL and working on Python 3.10. When I try to run Drake tutorials locally with python3 -m pydrake.tutorials I get the following error: ERROR: the Jupyter notebook runtime is not installed! which is not the case since I already installed jupyter-notebook using sudo apt-get install jupyter-notebook and can easily open a jupyter notebook myself when typing jupyter notebook.
Additionally, I tried to copy-paste and run the following code from a tutorial:
import pydot
from IPython.display import HTML, SVG, display
from pydrake.all import (AddMultibodyPlantSceneGraph, DiagramBuilder,
FindResourceOrThrow, GenerateHtml,
InverseDynamicsController, MeshcatVisualizer,
MeshcatVisualizerParams, MultibodyPlant, Parser,
Simulator, StartMeshcat)
from manipulation import running_as_notebook
and i get the following error:
ModuleNotFoundError: No module named 'manipulation'
It seems as I don't have a module called manipulation except the one inside pydrake library. Is this a version issue?
I desired to mention it in case the two errors are interconnected.
None of the tutorials in Drake import anything from manipulation. The manipulation textbook repository examples absolutely do. You can find more about those here: https://manipulation.csail.mit.edu/drake.html .
Error that I'm struggling with
I'm trying to use MarsExplorer (https://github.com/dimikout3/MarsExplorer) in google colab, but I'm struggling with properly importing it. I was able to successfully clone the repo, but when I try to run the demo mars_explorer isn't imported. How can I fix this?
Indeed #Dr.Snoopy makes a great point here. This is the line in test.py where it is expected to work:
from mars_explorer.envs.settings import DEFAULT_CONFIG as conf
Now, notice that this is being called from your runtime path, usually root in Colab's case (I suppose), then it should return an error.
Now, if installed, for instance with pip install -e you can both import the module and edit it as you go.
Check out these docs.-,6.1.2.%20The%20Module%20Search%20Path,-%C2%B6), they may be helpful to understand this error.
apply these two commands in colab cell:
!git clone https://github.com/dimikout3/GeneralExplorationPolicy.git
the above command will save GeneralExplorationPolicy folders in your colab and inside this folder you can find mars-explorer folder then make copy of the path of the mars-explorer folder for example. /content/GeneralExplorationPolicy/mars-explorer
then apply this command for install mars-explorer:
!pip install -e /content/GeneralExplorationPolicy/mars-explorer
I am using openpyxl in spyder IDE to create a new excel workbook. The program runs with no error, however no excel workbook was created.
I copied the code into sublime text, and ran the code in command prompt and it worked perfectly good, with the new excel created
Can someone please explain what i am doing wrong in spyder and how to fix it?
I got stuck with the same problem. To resolve it I verified the Python interpreter's version used by my Spyder (there were some of them on my computer). I found out that it wasn't using the one I needed it to. So I changed it to the appropriate version's one with the followed installation of the lacking Spyder kernels with python -m pip install spyder-kernels and all the specific modules I needed to complete my tasks.
Hope the advise to be useful. Have a nice day.
A C extension module that compiles fine on Travis-CI without anaconda fails when installed with anaconda. It appears to install just fine, but when I try to import it, I get the following error:
ImportError: /home/travis/anaconda/lib/python2.7/site-packages/quaternion/numpy_quaternion.so: undefined symbol: __log_finite
The full error can be seen here. Obviously, this looks like a linker error, where it can't find glibc (which I believe is where __log_finite is found). But why should it fail to find glibc?
When I run nm on that .so file (through Travis), it shows that __log_finite is indeed undefined, but shouldn't it find it through the usual process?
I've tried installing quaternion through pip and I've tried installing it by directly downloading it and running python setup.py install. Both seem to work, in the sense that it looks like all the files are where they should be. But both fail on import because they can't find that symbol.
I've even tried installing the full version of anaconda (rather than just miniconda, which is recommended). Nothing seems to work. How can I make Travis find that symbol, and is this something I'll have to worry about ordinarily with my distribution?
It appears to be a problem with a -ffast-math flag in my quaternion package. One thing that flag does is make the code assume that the numbers are finite, so that instead of using the log function, it uses some log_finite function, which for some reason Travis doesn't have --- or something. Anyway, I have my numba package set an environment variable in Travis builds, which the quaternion package then looks for on installation, and turns off fast-math. This is unfortunate, because it means I'm not actually testing the code as it's actually used. But it means my code builds and tests pass.
There seems to be about one mention of this on the internet. Or not; I can't tell.