I am taking a computer science program in University. There is a style check program we use to make sure our C code is formatted the way the teachers want.
The procedure I have to follow currently is copy two python files into the directory of the file I want to check. The files are named "cpplint.py" and "styleCheck.py". So after copying them in I execute chmod u+x styleCheck.py and then I can run it with ./styleCheck.py.
So my question is: is there a way to install the style checker on my Raspberry Pi so that I don't need to do all the copying and pasting? It would be nice just to be able to run the style checker with the ./styleCheck.py command in any directory and avoid all the repetitive cutting and pasting.
What would I suggest ,although not a direct answer to your question, is tinkering a bit with the code and see if you can pass as an argument the location of your files. That way you could just go into the directory of you styleCheck.py and do "./styleCheck.py destination/of/your/file" without having to copy anything. This will also make you feel good about improving a university piece of code.
Keep in mind that you should do that only if you are familiar enough with python so that you do not break the actual checker.
Another option is put the files in a folder, do your chmod once to make them executable and then write a quick shell script that takes the file location as a parameter. Then have it copy cp the files into that folder, run your tester and delete them upon completion.
This is of course option B, I would simply do what Martin said.
Related
This may seem trivial, and I admit that it is more a question relating to ease of access in VS Code.
My VS Code window shows "NO FOLDER OPENED". How do I fix this?
Up until the other day when I set VS Code as my default app for .py files (this is the problem), I could see any and all folders, sub-folders, and .py/.ipynb files on my Explorer tab. I am both new to Python and VS Code. I have tried these things to fix my problem:
Attempted to reset to all of microsoft's default app associations--the aforementioned files still open with VS Code.
Attempted to change each file's "Open with:" path (by accessing its properties)--it gives no other option, since PowerShell and CMD are not "apps".
Found this that got close but did not target my specific problem.
Found another article which refers to Windows 7--I didn't read it after seeing this.
I have done various other things, but I think you get the point; I'm at a loss!
This problem seems annoyingly easy to fix. I would rather see if there is some type of setting, in VS Code or Windows, that I am overlooking before searching for a complex work-around.
I'm also new to Stack overflow. I hope this is a "valid" question.
It's important to keep things organized even when you are new to coding. In VScode it is pretty simple to do that. I suggest you to make a folder for your projects and also for other purposes like practicing on examples.
Lets say you created a folder on desktop named Python, and you keep all your .py files in there, then you don't have to open each of the python files by double clicking it, it's a wrong practice. Instead, open VScode application from the start menu or desktop, then go to file > open folder > Python(the python folder you can create on your desktop). This way it opens a workspace(Folder) where you can work with different Python files or any other files.
With Ctrl key pressed, press O and then K. Then, select the folder where your python file is located.
I am trying to make a basic program to backup one folder from my memory stick when it is plugged in, (I know there are already programs that can do this but that is no fun!) but am having trouble with permissions.
from shutil import copy2
copy2('F:/Python/Library', 'C:/Users/Torran/Desktop/Python')
This is all I have so far, as I want to get the copying part working before doing the detecting when it is plugged in part. When I run this, however, it keeps giving me a PermissionError...
PermissionError: [Errno 13] Permission denied: 'F:/Python/Library'
I know that a Python script can only access folders in the same folder it is saved to, however this doesn't really help as I need to copy a folder from my memory stick and paste it into a folder on my desktop, so I need a way to give this script access to folders outside the folder it is saved to.
After trying it myself, I found out the problem. You are using the shutils.copy2(src, dst) function on a folder, not a file. src has to be a file. If you are trying to copy a folder to a destination folder, you need to be using shutils.copytree(src, dst).
You end up getting the permission error because shutils.copy2()expects a file.
As for the underlying question of your issue for copying a folder to a destination, please read this for a few different ways to handle this issue.
I would suggest taking a look at "Run python script as admin in Windows", as this answer explains how to force extra admin permissions. Try that, then should it not work the problem will likely lie with the command as cmpgamer says.
By the way, welcome to Python and programming in general! It is a great world to get into as it lets you achieve so much in so many fields. Python is "the" language to know right now as it is very powerful and quick to dev. Have you tried working with the Raspberry Pi? You can do some very fun Python projects on them! Backup, as you are describing, can be achieved with Windows Shell scripting, whereas you can do AI in python!
I am working on a project in PyCharm that involves extensive computations, with long runtimes.
I would like to do the following: I come up with a version of my code; then run it, then I edit the code some more; however, the run I started before still only uses the old version of the code (i.e. the snapshot at the point of running).
Is this possible in PyCharm?
I run my project by selecting the Run 'projectname' option from the Run menu.
I understand the run works by pre-compling the .py files to .pyc files stored in the __pycache__ folder. However, I don't know the following.
Will saving the file in PyCharm cause the .pyc files to be replaced by new versions? This is something I want to avoid since I want one run to only use one snapshot of the source tree, not multiple versions at different points of execution.
What if some python class is only needed, say, 20 minutes after the run has started. Will the .pyc file be created at the beginning of the run, or on-demand (where the corresponding .py file might already have changed)?
I use PyCharm in my classes. My experience is that the all the required code, including the imported modules, are compiled at runtime. If you change anything in that suite you need to start running from scratch for it to take effect.
I'm not a professional programmer so my experience is with small apps. I'd love to hear form an expert.
Not a major issue but just an annoyance I've come upon while doing class work. I have my Notepad++ set up to run Python code straight from Notepad++ but I've noticed when trying to access files I have to use the full path to the file even given the source text file is in the same folder as the Python program being run.
However, when running my Python program through cmd I can just type in the specific file name sans the entire path.
Does anyone have a short answer as to why this might be or maybe how to reconfigure Notepad++?
Thanks in advance.
The problem is that your code is assuming that the current working directory is the same as the script directory. This is not true in general. Of course it is true if you're in a cmd window, and you cd to the script directory before running it.
If you don't want to rely on that (e.g., because you want to be able to run scripts from Notepad++, or directly from Explorer), what you want to do is use the script directory explicitly. For example:
import os
import sys
scriptdir = os.path.abspath(os.path.dirname(sys.argv[0]))
with open(os.path.join(scriptdir, 'myfile.txt')) as f:
# etc.
If you have a ton of files that your scripts reference in a ton of places, it might be better to explicitly set the working directory. Just add one line:
os.chdir(scriptdir)
For anything beyond quick&dirty scripts, it's usually better to build an installable package and use pkg_resources to access the data files. Read the Tutorial on Packaging and Distributing Projects for more details. But as long as you're only hacking up scripts to help you maintain your specific system, the scriptdir solution is workable.
In the properties of the shortcut that you use to start Notepad++, you can change its working directory, to whichever directory you're more accustomed to starting from in Python. You can also begin your python program with the appropriate os.chdir() command.
I'm learning about Python Packages from Learn Python the Hard Way and one of the exercises it says:
Put a script in the bin directory that you can run
To me, it seems kind of vague. I'm not exactly sure what kind of scripts would go into the bin folder. The Hitchhiker's Guide to Packaging says
put into bin any scripts you’ve written that use your package and which you think would be useful for your users. If you don’t have any, then remove the bin directory.
But I'm still left wondering what kind of script would go in there. So, I know its may sound like a dumb question, but can someone give me an example of when, and why one would put "a script" in their package's bin folder?
I just recently got through Ex46 in LPTHW myself. Like you, I was confused by the scripts. In case the other answer was too advanced for you, I ended up just putting in a simple "hello world" script:
#!/usr/bin/env python
from test3 import printstring
printstring.printstring("test script working")
print "test over"
I named that file testscript3.py (*Note, I learned later that it would be more convenient to leave off the .py filename extension if it were a real script that I wanted to seem like a system command)
My file test3.py was like so:
def printstring(s='you did not provide string'):
print s
Here's some newbie things that I learned while trying to get this process to work:
The #! symbol is sometimes pronounced shebang and the simple explanation is that the command on that line tells the shell to use python to run the script. If you leave off the ".py" filename extension, then the user of the script doesn't need to care what interpreter is needed to run the script. See wikipedia shebang article.
I ran the following command to package the distribution:
python setup.py sdist
After doing that, I was able to install the package and script by running
sudo pip install test3-0.1.tar.gz
One thing I worried about was permissions on the script file. However, I noticed that distutils took care of this when packaging (changed mode to 755 or whatever).
You can find my whole project for this example on github.
For example Django's project creating, Scrapy's project creating, django-admin.py and scrapy are both scripts in bin folder.
You could get even more examples by checking almost python-based tools.