I was running the PySINDy package and I kept on getting the module not found-error when I ran this:
pip install pysindy
import pysindy as ps
I fixed this by downgrading the Python in my VS code to 3.8.9. But I do get the following note:
note: This error originates from a subprocess, and is likely not a problem with pip.Note: you may need to restart the kernel to use updated packages.
I am now getting the attribute error when I run the following:
differentiation_method = ps.FiniteDifference(order=2)
Here's the error:
AttributeError: module 'pysindy' has no attribute 'differentiation'
Can someone please help me with this? (I successfully ran the entire code earlier on google colab and the online Jupyter, but I am unable to do it locally. I use MAC os and Jupyter via VS Code.)
Related
Hi I am new to the hardware programming
I was trying to install the esptool plugin in Thonny IDE but it is showing the error like below .
note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure.
Error: process returned with code 1
If you have any idea about this please reply
I am using Windows 10 and Strawberry Perl. I found this nice tutorial on building a 3D engine in Perl. Which requires SDL. For a couple of days I've been trying to install it, but it doesn't work. First I tried via CPAN, no success. No I am trying manually, but I am getting error messages when using "make". If I type "perl -V:make" it says I should use "dmake". If I do so, there's a dmake warning, telling me to use gmake instead. If I do that, there's the following message:
"to undefined at C:/Perl64/site/lib/ExtUtils/Install.pm line 1199. gmake: *** [Makefile:942: pm_to_blib] Error 2"
Any suggestions how to fix this? Or is there an easy (easier) way to install SDL?
It seems like the Perl SDL module uses SDL version 1.2.14, whereas the documentation says
The best course of action is to move to SDL 2.0 or later as quickly as
possible
So, I would recommend looking at the Python bindings PySDL2 instead. The following worked for me on Windows 10:
Downloaded Python 3.8 from here:
https://www.python.org/ftp/python/3.8.2/python-3.8.2-amd64.exe
Then added the following to the User enviroment variables for "Path" (NOTE: at the beginning, not at the end):
%USERPROFILE%\AppData\Local\Programs\Python\Python38
%USERPROFILE%\AppData\Local\Programs\Python\Python38\Scripts
Then, from the command prompt install pysdl2:
>pip install pysdl2
Collecting pysdl2
Downloading https://files.pythonhosted.org/packages/60/ba/ddb48261848874eeb3d54963edbf3c74fff86499746aeb23151f123953bb/PySDL2-0.9.7-py3-none-any.whl (541kB)
|████████████████████████████████| 542kB 2.2MB/s
Installing collected packages: pysdl2
Successfully installed pysdl2-0.9.7
>pip install pysdl2-dll
Collecting pysdl2-dll
Downloading https://files.pythonhosted.org/packages/01/37/f9aa5472fb85ce94507c69110916133ad29b650d2bf277de2cce37d7ad7d/pysdl2_dll-2.0.12-py2.py3-none-win_amd64.whl (2.5MB)
|████████████████████████████████| 2.5MB 3.2MB/s
Installing collected packages: pysdl2-dll
Successfully installed pysdl2-dll-2.0.12
Then, add a new User environment variable PYTHONPATH with value:
%USERPROFILE%\AppData\Local\Programs\Python\Python38\Lib\site-packages
Close the command prompt, and reopen a new one to update the environment variables. Then I created a test Python script:
import sys
import sdl2.ext
resource_dir=r'C:\Users\hakon\AppData\Local\Programs\Python\Python38\Lib\site-packages\sdl2\examples'
RESOURCES = sdl2.ext.Resources(resource_dir, "resources")
sdl2.ext.init()
window = sdl2.ext.Window("Hello World!", size=(640, 480))
window.show()
factory = sdl2.ext.SpriteFactory(sdl2.ext.SOFTWARE)
sprite = factory.from_image(RESOURCES.get_path("hello.bmp"))
spriterenderer = factory.create_sprite_render_system(window)
spriterenderer.render(sprite)
processor = sdl2.ext.TestEventProcessor()
processor.run(window)
sdl2.ext.quit()
and finally run it from the command prompt:
> python test.py
I have installed the latest version of VS Code on CentOS 7.
However when I try to run VS Code, it loads for some time trying to open, but then nothing happens, no errors, nothing.
I have tried to installed both trough rpm package and zipped files, but got the same result in both cases.
I'm using x2go to connect to my CentOS 7.
Add the following line to the file /etc/x2go/x2goagent.options:
X2GO_NXAGENT_DEFAULT_OPTIONS+=" -extension BIG-REQUESTS"
Then restart the server and try again.
I had the same problem and added the --verbose flag to get more info (see below). Googling for the "gl_surface_glx.cc" error brought me to https://github.com/atom/atom/issues/4360 which contains the above workaround. VS Code now works for me on CentOS7 with X2GO.
Without this workaround the following error is seen (using the --verbose flag):
$ code --user-data-dir=/home/user1646217
--verbose [19526:0719/091952.335817:WARNING:audio_manager.cc(317)] Multiple instances of AudioManager detected
[19526:0719/091952.335923:WARNING:audio_manager.cc(278)] Multiple
instances of AudioManager detected
[19549:0719/091952.363736:ERROR:gl_surface_glx.cc(411)] GLX 1.3 or
later is required.
[19549:0719/091952.363836:ERROR:gl_initializer_x11.cc(130)]
GLSurfaceGLX::InitializeOneOff failed.
[19549:0719/091952.366430:ERROR:gpu_child_thread.cc(327)] Exiting GPU
process due to errors during initialization
I've been trying to install Tensorflow and get it working over the past few days. Whilst I have managed to install TF and get it working as tested by opening Python in the terminal and typing,
import tensorflow as tf
I have not been successful attempting to retrain Inception v3. I managed to install it from source once by following the instructions laid out here however I am no longer able to do so. When I get to the section 'Create the pip package and install' and go to run bazel build -c opt //tensorflow/tools/pip_package:build_pip_package in the root of my Tensorflow directiory I get the following error.
kieran#kieranUbuntu:~/tensorflow$ bazel build -c opt //tensorflow/tools/pip_package:build_pip_package
ERROR: /home/kieran/tensorflow/tensorflow/core/BUILD:1068:1: no such target '//tensorflow/tools/git:gen/spec.json': target 'gen/spec.json' not declared in package 'tensorflow/tools/git' defined by /home/kieran/tensorflow/tensorflow/tools/git/BUILD and referenced by '//tensorflow/core:version_info_gen'.
ERROR: /home/kieran/tensorflow/tensorflow/core/BUILD:1068:1: no such target '//tensorflow/tools/git:gen/head': target 'gen/head' not declared in package 'tensorflow/tools/git' defined by /home/kieran/tensorflow/tensorflow/tools/git/BUILD and referenced by '//tensorflow/core:version_info_gen'.
ERROR: /home/kieran/tensorflow/tensorflow/core/BUILD:1068:1: no such target '//tensorflow/tools/git:gen/branch_ref': target 'gen/branch_ref' not declared in package 'tensorflow/tools/git' defined by /home/kieran/tensorflow/tensorflow/tools/git/BUILD and referenced by '//tensorflow/core:version_info_gen'.
ERROR: Analysis of target '//tensorflow/tools/pip_package:build_pip_package' failed; build aborted.
INFO: Elapsed time: 3.063s
This is the same error I ran into when I managed to install it and then attempted retaining the classifier following this tutorial. At the section, bazel build tensorflow/examples/image_retraining:retrain.
I just can't figure out what is going wrong and I have been trying for so long.
I'm using this pip version, # Ubuntu/Linux 64-bit, CPU only, Python 2.7
I think you should search before ask, This link can probably solve your issue.
The issue lied in the incorrect use of ./configure. Whilst it was ran I currently have two versions of python on my computer, both of which are stored in different locations, when running ./configure I pointed it to the wrong python version. After rectifying the issue everything worked correctly.
Ive recently installed SimpleCV using the osX-Lion setup instructions in page https://github.com/ingenuitas/simplecv
Then I type python in Terminal and when I try the following I get an error.
import SimpleCV
Fatal Python error: (pygame parachute) Segmentation Fault
Abort trap: 6
However I get no errors when i try to import pygame myself. Any fix for this?
Thanks
Use and follow this instructions of the new repository, the you are using have this Alert messages.
THE SIMPLECV REPO HAS MOVED (As of 4/17/13)
Says the repository title.
WARNING: The REPO here is for legacy purposes only