I'm having trouble spinning up a nozoomi appliance in GCP. I have the OVA file and opening in VirtuBOX indicates it needs FreeBSD 64bit as OS, but I can't select it as a choice in the command line tool.
gcloud compute instances import nozomi --os=**FreeBSD** --source-uri=gs://nozoomi/21.0.1-05041735_16B04-standard-guardian.ova
Here is the error I get:
ERROR: (gcloud.compute.instances.import) argument --os: Invalid choice: '**FreeBSD**'.
Valid choices are [centos-7, centos-8, debian-8, debian-9, opensuse-15, rhel-6, rhel-6-byol, rhel-7, rhel-7-byol, rhel-8, rhel-8-byol, sles-12, sles-12-byol, sles-15, sles-15-byol, sles-sap-12, sles-sap-12-byol, sles-sap-15, sles-sap-15-byol, ubuntu-1404, ubuntu-1604, ubuntu-1804, ubuntu-2004, windows-10-x64-byol, windows-10-x86-byol, windows-2008r2, windows-2008r2-byol, windows-2012, windows-2012-byol, windows-2012r2, windows-2012r2-byol, windows-2016, windows-2016-byol, windows-2019, windows-2019-byol, windows-7-x64-byol, windows-7-x86-byol, windows-8-x64-byol, windows-8-x86-byol].
C:\Users\JamesRoberts\AppData\Local\Google\Cloud SDK>
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I am having difficulty using a servo motor with the bbc-microbit v2. I am programming in MicroPython using Mu (1.1.0.alpha.2), and I have followed instructions and sample code from Microbit and Sparkfun. I keep getting a "ValueError: invalid period" when I use the command "set_analog_period". I can get the exact same set-up and similar program to work, without any errors, when using the Microbit MakeCode editor.
Here is the sample code (slightly edited for length) that is taken directly from https://support.microbit.org/support/solutions/articles/19000101864-using-a-servo-with-the-micro-bit:
from microbit import *
pin0.set_analog_period(20)
while True:
pin0.write_analog(75)
sleep(1000)
The REPL outputs:
Traceback (most recent call last):
File "main.py", line 2, in <module>
ValueError: invalid period
MicroPython v1.13 on 2020-12-21; micro:bit v2.0.0-beta.3 with nRF52833
I also failed to get the mu editor to run correctly with v2 of the micro:bit. Instead of mu, I use the online micropython editor here: https://python.microbit.org/v/2
This can be downloaded from the project's GitHub site and used offline. The GitHub site is here:
https://github.com/bbcmicrobit/PythonEditor
To get this to run in Linux (you don't mention which OS you are using), you need to set up a udev rule:
Create the file:
/etc/udev/rules.d/50-microbit.rules
with this content:
SUBSYSTEM=="usb", ATTR{idVendor}=="0d28", MODE="0664", GROUP="plugdev"
You then need to add your username to the plugdev group:
To add your username to the plugdev group:
sudo usermod -aG plugdev <user>
To have this change recognised by the system, we need to restart the udev rules:
sudo udevadm control --reload-rules
The PythonEditor then works in Chrome for me. The first time I flash a script takes a while, I suspect the first flash writes a micropython interpreter hex file to the board.
I want to execute a Python script from Matlab (on a Windows 7 machine). The libraries necessary are installed in an Anaconda virtual environment. When running the script from command line, it runs flawlessly.
When calling the script from Matlab as follows:
[status, commandOut] = system('C:/Users/user/AppData/Local/Continuum/anaconda3/envs/tf/python.exe test.py');
or with shell commands, I get an Import Error:
commandOut =
'Traceback (most recent call last):
File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\tf\lib\site-packages\numpy\core\__init__.py", line 16, in <module>
from . import multiarray
ImportError: DLL load failed: The specified path is invalid.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "test.py", line 2, in <module>
import numpy as np
File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\tf\lib\site-packages\numpy\__init__.py", line 142, in <module>
from . import add_newdocs
File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\tf\lib\site-packages\numpy\add_newdocs.py", line 13, in <module>
from numpy.lib import add_newdoc
File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\tf\lib\site-packages\numpy\lib\__init__.py", line 8, in <module>
from .type_check import *
File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\tf\lib\site-packages\numpy\lib\type_check.py", line 11, in <module>
import numpy.core.numeric as _nx
File "C:\Users\user\AppData\Local\Continuum\anaconda3\envs\tf\lib\site-packages\numpy\core\__init__.py", line 26, in <module>
raise ImportError(msg)
ImportError:
Importing the multiarray numpy extension module failed. Most
likely you are trying to import a failed build of numpy.
If you're working with a numpy git repo, try `git clean -xdf` (removes all
files not under version control). Otherwise reinstall numpy.
Original error was: DLL load failed: The specified path is invalid.
I already changed the default Matlab Python version to the Anaconda env, but no change:
version: '3.5'
executable: 'C:\Users\user\AppData\Local\Continuum\anaconda3\envs\tf\python.exe'
library: 'C:\Users\user\AppData\Local\Continuum\anaconda3\envs\tf\python35.dll'
home: 'C:\Users\user\AppData\Local\Continuum\anaconda3\envs\tf'
isloaded: 1
Just running my test script without importing numpy works. Reloading numpy (py.importlib.import_module('numpy');) didn't work but threw the same error as before.
Does anyone have an idea how to fix this?
So after corresponding with Matlab support I found out that Matlab depends on the path environment (paths which are deliberately not set when using a virtual environment) and therefore numpy fails to find the necessary paths when called from within Matlab (even if the call contains the path to the virtual environment).
The solution is either to call Matlab from within the virtual environment (via command line) or add the missing paths manually in the path environment.
Maybe this information can help someone else.
First Method
You can change the python interpreter with:
pyversion("/home/nibalysc/Programs/anaconda3/bin/python");
And check it with:
pyversion();
You could also do this in a
startup.m
file in your project folder and every time you start MATLAB from this folder the python interpreter will be changed automatically.
Now you can try to use:
py.importlib.import_module('numpy');
Read up the documentation on how to use the integrated python in MATLAB:
Call user defined custom module
Call modified python module
Alternative Method
Alternative method would be to create a
matlab_shell.sh
file with following content, this is basically the appended code from .bashrc when anaconda is installed and asks you if the installer should modify the .bashrc file:
#!/bin/bash
__conda_setup="$(CONDA_REPORT_ERRORS=false '$HOME/path/to/anaconda3/bin/conda' shell.bash hook 2> /dev/null)"
if [ $? -eq 0 ]; then
\eval "$__conda_setup"
else
if [ -f "$HOME/path/to/anaconda3/etc/profile.d/conda.sh" ]; then
CONDA_CHANGEPS1=false conda activate base
else
\export PATH="$HOME/path/to/anaconda3/bin:$PATH"
fi
fi
unset __conda_setup
# <<< conda init <<<
# >>> conda initialize >>>
# !! Contents within this block are managed by 'conda init' !!
__conda_setup="$('$HOME/path/to/anaconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)"
if [ $? -eq 0 ]; then
eval "$__conda_setup"
else
if [ -f "$HOME/path/to/anaconda3/etc/profile.d/conda.sh" ]; then
. "$HOME/path/to/anaconda3/etc/profile.d/conda.sh"
else
export PATH="$HOME/path/to/anaconda3/bin:$PATH"
fi
fi
unset __conda_setup
# <<< conda initialize <<<
conda activate base
eval $2
Then you need to set the MATLAB_SHELL environment variable either before running MATLAB or in MATLAB itself. The best thing in my opinion would be to do it also in the startup.m file like that:
setenv("MATLAB_SHELL", "/path/to/matlab_shell.sh");
Afterwards you can use the system(...) function to run conda python with all your modules installed like that...
String notation:
system("python -c ""python code goes here"");
Char notation:
system('python -c "python code goes here"');
Hope this helps!
Firstly, if you execute your Python script like a regular system command ([status, commandOut] = system('...python.exe test.py'))
the pyversion (and pyenv, since R2019b) got no effect at all. It only matters if you utilize the py. integration, as in the code below (and, in most cases, this is a way better approach).
Currently (I use R2019b update 5) there's a number of pitfalls, that might cause issues similar to yours. I'd recommend to start from the following:
Create a new clean conda environment:
conda create -n test_py36 python=3.6 numpy
Create the following dummy demo1.py:
def dummy_py_method(x):
return x+1
Create the following run_py_code.m:
function run_py_code()
% explicit module import sometimes show more detailed error messages
py.importlib.import_module('numpy');
% to reloads if there would be any changes:
pymodule = py.importlib.import_module('demo1');
py.importlib.reload(pymodule);
% passing data back and forth
x = rand([3 3]);
x_np = py.numpy.array(x);
y_np=pymodule.dummy_py_method(x_np);
y = double(y_np);
disp(y-x);
Create the following before_first_run.m:
setenv('PYTHONUNBUFFERED','1');
setenv('path',['C:\Users\username\Anaconda3\envs\test_py36\Library\bin;'...
getenv('path')]);
pe=pyenv('Version','C:\users\username\Anaconda3\envs\test_py36\pythonw.exe',...
'ExecutionMode','InProcess'...
);
% add "demo1.py" to path
py_file_path = 'W:\tests\Matlab\python_demos\call_pycode\pycode';
if count(py.sys.path,py_file_path) == 0
insert(py.sys.path,int32(0),py_file_path);
end
Run the before_first_run.m first and run the run_py_code.m next.
Notes:
As already mentioned in this answer, one key point is to add the folder, containing the necessary dll files to the %PATH%, before starting python. This could be achieved with setenv from withing Matlab. Usually, the Library\bin is what should be added.
It might be a good idea to try clean officially-supported CPython distribution (e.g. CPython 3.6.8 ). Only install numpy (python -m pip install numpy). To my experience, the setenv is not necessary in this case.
For me, OutOfProcess mode proved to be buggy. Thus, I'd recommend to explicitly setting InProcess mode (for versions before R2019b, the OutOfProcess option is not present, as well as pyenv).
Do not concatenate the two .m files above into one - the py.importlib statements seem to be pre-executed and thus conflict with pyenv.
I try to install pljava for postgesql 9.6 in Ubuntu 16.04, but it fails with error.
A gradlew script makes an installation, but it fails with the following error"
Failed to execute: CREATE EXTENSION pljava; because: ERROR: could not access file "pljava-so-1.5.1-BETA1": No such file or directory
A gradlew source:
Sql sql = establishConnection()
try {
sql.execute("SET pljava.libjvm_location TO '${javaNative}';")
sql.execute("SET pljava.vmoptions TO '-Xshare:on -XX:+DisableAttachMechanism';")
sql.execute("ALTER DATABASE postgres SET pljava.libjvm_location FROM CURRENT;")
sql.execute("ALTER DATABASE postgres SET pljava.vmoptions FROM CURRENT;")
sql.execute("CREATE EXTENSION pljava;")
} finally {
sql.close()
}
As i understand, it fails during a creation of extension pljava, commands above was executed without any errors.
According to #ChapmanFlack advice:
I have no any mentions about pljava-so-1.5.1-BETA1 file at pg_config --libdir directory. Also i didn't find that file at pg_config --sharedir
grep LOAD pljava--1.5.1-BETA1.sql output following:
touched off by the LOAD command, making possible a decent installation
LOAD command, but finds the CREATE EXTENSION command instead). So,
temporarily LOAD 'pljava-so-1.5.1-BETA1'; Ok, the LOAD succeeded, so
everything happened ... unless ... the same PostgreSQL turns LOAD into
a (successful) no-op in that case, meaning To fail fast in that case,
expect that the LOAD actions should have
I think PL/Java builds from a prebuilt, because of that line at gradlew:
commandLine 'java', '-jar', '../installer/build/dependencies/pljava-pg9.6.jar'
I would be appreciate for any advice
I need to start MATLAB in Python using MATLAB Engine API for Python as www-data with GUI/as desktop app. And the following code results in the error:
import matlab.engine
eng = matlab.engine.start_matlab()
eng.desktop(nargout=0)
When I try to run this code, the -desktop argument is just ignored and Matlab runs like -nodesktop.
import matlab.engine
eng = matlab.engine.start_matlab('-desktop')
Error: desktop is not supported because: Swing is not currently available.
How to make it run?
I am trying to import some of my personal modules into my IPython Clusters. I am using Anacondas on Windows Vista 64 bit
from IPython.parallel import Client
rc = Client()
dview = rc[:]
with dview.sync_imports():
import lib.rf
It is giving me this error:
No module named 'lib.rf'
I can import the module in the rest of my IPython notebook, as I have this .bat file to start ipython notebook:
cd C:\Users\Jon\workspace\bf
set PYTHONPATH=%PYTHONPATH%;C:\Users\Jon\workspace\bf
C:\Anaconda\envs\p33\scripts\ipython notebook
I am using this similar code to start my ip clusters:
cd C:\Users\Jon\workspace\bf
set PYTHONPATH=%PYTHONPATH%;C:\Users\Jon\workspace\bf
C:\Anaconda\envs\p33\Scripts\ipcluster start --n=7
Why is this not working?
More info:
If I print out sys.path, I get a list that contains C:\Users\Jon\workspace\bf
If I print out the paths of my clusters, I get the same list:
%px sys.path
['',
'',
'',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages\\distribute-0.6.28-py3.3.egg',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages\\pykalman-0.9.5-py3.3.egg',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages\\patsy-0.2.1-py3.3.egg',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages\\joblib-0.8.3_r1-py3.3.egg',
'C:\\Users\\Jon\\workspace\\bf',
'C:\\Users\\Jon\\workspace\\bf\\my_numba',
'C:\\Anaconda\\envs\\p33\\python33.zip',
'C:\\Anaconda\\envs\\p33\\DLLs',
'C:\\Anaconda\\envs\\p33\\lib',
'C:\\Anaconda\\envs\\p33',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages\\Sphinx-1.2.3-py3.3.egg',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages\\win32',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages\\win32\\lib',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages\\Pythonwin',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages\\runipy-0.1.1-py3.3.egg',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages\\setuptools-7.0-py3.3.egg',
'C:\\Anaconda\\envs\\p33\\lib\\site-packages\\IPython\\extensions']
In [45]:
Further analysis:
%px lib.__path__
Out[0:11]: _NamespacePath(['C:\\Anaconda\\envs\\p33\\lib\\site-packages\\win32\\lib'])
lib.__path__
Out[57]: ['.\\lib']
Looks like the ipcluster and notebook are looking at lib in different places. I have tried renaming lib to mylib. It has not helped.
It seems that with dview.sync_imports() is being run someplace other than your IPython Notebook environment and is therefore relying a different PYTHONPATH. It is definitely not being run on one of the cluster engines and so wouldn't expect it to leverage your cluster settings of PYTHONPATH.
I'm thinking you'll need to have that directory in your PYTHONPATH (not your PATH) for the calling python environment because that is the location from which you are importing the modules.
The impact of the bit you have about setting the PYTHONPATH in the DOS shell from which you invoke ipclusters isn't clear to me. I can see that one might expect this to let the engines know about your directory, but I'm wondering if that PYTHONPATH gets initilized to the environment from which you call IPython.parallel.Client.