I was previously working on C++ on VisualStudio and when I was creating a Class, a Function or some lines of code, I remember I could "summarize" all the lines relative to one function for example into only one line that had the name of the function and a little "+" on the side and when you clicked on it, it showed you the entire function code associated with. It was really usefull in order to see clearly through a script not by showing the entire (non necessary) code.
I was wondering if it's possible with Python on PyScripter and how to do this? I have a lot of functions or lines that I would like to "hide" and just summarize as one (describing the name of the function, or just a comment) to see more clearly through my code.
Thank you.
This is called code folding. Recent versions of PyScripter provide code folding. Download PyScripter from https://sourceforge.net/projects/pyscripter/files.
Related
How can I make VS code detect incorrect argument names?
def test_function(name1, name2, name3):
print(name1)
print(name3)
print(name2)
test_function(name1=1, name2=2, name4=4)
Currently, VS code doesn't flag this as an error. Detecting this would be very useful since argument names change. Otherwise you get an error at run time which is far too late.
VS code is a text editor that one can use to write code in multiple languages but is not a Python interpreter. What you can do is install an extension to do that. For example: Python from Microsoft, has a linter that shows you what problems your code has, including the kind of problem you're describing. Make sure you read the docs to configure it correctly.
How can I run c/c++ code within python in the form:
def run_c_code(code):
#Do something to run the code
code = """
Arbitrary code
"""
run_c_code(code)
It would be great if someone could provide an easy solution which does not involve installing packages. I know that C is not a scripting language but it would be great if it could do a 'mini'-compile that is able to run the code into the console. The code should run as it would compiled normally but this needs to be able to work on the fly as the rest of the code runs it and if possible, run as fast as normal and be able to create and edit variables so that python can use it. If necessary, the code can be pre-compiled into the code = """something""".
Sorry for all the requirements but if you can make the c code run in python then that would be great. Thanks in advance for all the answers..
As somebody else already pointed out, to run C/C++ code from "within" Python, you'd have to write said C/C++ code into an own file, compile it correctly, and then execute that program from your Python code.
You can't just type one command, compile it, and execute it. You always have to have the whole "framework" set up. You can't compile a program when you haven't yet written the } that ends the class/function/statement 20 lines later on. At this point you'd already have to write the whole C/C++ program for it to work. It's simply not meant to be interpreted on the run, line by line. You can do that with python, bash/dash/batch, and a few others. But C/C++ definitely isn't one of them.
With those come several issues. Firstly, the C/C++ part probably needs data from the Python part. I don't know of any way of doing it in RAM alone (maybe there is one, but I don't know), so the Python part would have to write it into a file, the C/C++ part would read and process it, then put the processed data into another file, and then the Python part would have to read that and continue.
Which brings another point up. Here we're already getting into multi-threading territory, because the moment you execute that C/C++ program you're dealing with a second thread. So, somehow, you'd have to coordinate those programs so that the Python part only continues once the C/C++ part is done. Shouldn't be a huge problem to get running, but it can be a nightmare to performance and RAM if done wrongly.
Without knowing to what extent you use that program, I also like to add that C/C++ isn't platform-independent like Python. You'll have to compile that program for every single different OS that you run it on. That may come with minor changes to the code and in general just a lot of work because you have to debug and test it for every single system.
To sum up, I think it may be better to find another solution. I don't know why you'd want to run this specific part in C/C++, but I'd recommend trying to get it done in one language. If there's absolutely no way you can get it done in Python (which I doubt, there's libraries for almost everything), you should get your Python to C/C++ instead.
If you want to run C/C++ code - you'll need either a C/C++ compiler, or a C/C++ interpreter.
The former is quite easy to arrange (though probably not suitable for an end user product) and you can just compile the code and run as required.
The latter requires that you attempt to process the code yourself and generate python code that you can then import. I'm not sure this one is worth the effort at all given that even websites that offer compilation tools wrap gcc/g++ rather than implement it in javascript.
I suspect that this is an XY problem; you may wish to take a couple of steps back and try to explain why you want to run c++ code from within a python script.
I'm sure someone has come across this before, but it was hard thinking of how to search for it.
Suppose I have a file generate_data.py and another plot_utils.py which contains a function for plotting this data.
Of note, generate_data.py takes a long time to run and I would like to only have to run it once. However, I haven't finished working out the kinks in plot_utils.py, so I have to run this a bunch of times.
It seems in spyder that when I run generate_data (be it in the current console or in a new dedicated python interpreter) that it doesn't allow me to modify plot_utils.py and call "from plot_utils import plotter" in the command line. -- I mean it doesn't have an error, but it's clear the changes haven't been made.
I guess I kind of want cell mode between different .py files.
EDIT: After being forced to formulate exactly what I want, I think I got around this by putting "from plot_utils import plotter" \n "plotter(foo)" inside a cell in generate_data.py. I am now wondering if there is a more elegant solution.
SECOND EDIT: actually the method mentioned above in the edit does not work as I said it did. Still looking for a method.
You need to reload it:
# Python 2.7
plotter = reload(plotter)
or
# Python 3.x
from imp import reload
plotter = reload(plotter)
I am in the works of creating a python program similar to this
. Anyway what i want to do is have users be able to modify there own programs but i need help understanding how this works. I have looked through the source code and am confused where this happens even if someone could just point me towards that that would be very helpful. I know that the programs will not be sandboxed but that is not something im worried about at the moment. If you could point me in any direction that would be great! Thank you!
The "robot programs" are just stored as plain text files.
There's a general-purpose text editor in editor.py. When you open a robot in a given view, e.g., the Qt4 view in qt4view.py, it just instantiates a text editor and hands it the robot's file. Again, the fact that the robot's file is a Python script doesn't matter; it just edits it as a text file.
The battle code, meanwhile, opens the same robot files as Python code that the text editor opens as text files. You can see this code in game.py: It just uses the subprocess module to run Python, passing the robot file as an argument.
My other answer deals with what you actually asked. But I don't think it's what you really wanted to know.
You just want to know how to run some Python script, that you've got a pathname for, in a separate Python interpreter, right?
While it's possible to figure that out from the pybotwar code, there's a whole lot of extra stuff that will get in the way of understanding it—the conf.py file, the configurable extra flags, etc.
But the answer is simple: Use the subprocess module, just as you would for running any program. In this case, the Python interpreter is the executable (usually you want sys.executable, the same Python interpreter you're using), and the script you want to run as an argument. For example:
script_output = subprocess.check_output([sys.executable, script_path])
The subprocess documentation explains all the different options very nicely.
I'm developing my own Python code interpreter using the Python C API, as described in the Python documentation. I've taken a look on the Python source code and I tried to follow the same steps that are carried out in the standard interpreter when executing a py file. These steps (sequence of C API function calls) are basically:
PyRun_AnyFileExFlags()
PyRun_SimpleFileExFlags()
PyRun_FileExFlags()
PyArena_New()
PyParser_ASTFromFile()
run_mod()
PyAST_Compile()
PyEval_EvalCode()
PyEval_EvalCodeEx()
PyThreadState_GET()
PyFrame_New()
PyEval_EvalFrameEx()
The only difference in my code is that I do manually the AST compilation, frame creation, etc. and then I call PyEval_EvalFrame.
With this, I am able to execute an arbitrary .py file with my program, as if it were the normal Python interpreter. My problem comes when the code that my program is executing makes use of the time module: all time module operations get blocked in the GIL! For example, if the Python code calls time.sleep(1), this call is blocked and never gets executed.
Obviously I am doing something wrong that blocks the GIL (and therefore blocks the time module) but I dont know how to correct it. The last statement in my code where I have control is in PyEval_EvalFrameEx, and from that point on, everything runs "as in regular Python interpreter", I think.
Anybody had a similar problem? What am I doing wrong, so that I block the time module?
Hope somebody can help me...
Thanks for your time. Best regards,
R.
You need to provide more detail.
How does your interpreter's behavior differ from the standard interpreter?
If you just want to run arbitrary source files, why are you not calling one of the higher level interfaces, like PyRun_SimpleFile? Did your code call Py_Initialize?