My python scripts often contain "executable code" (functions, classes, &c) in the first part of the file and "test code" (interactive experiments) at the end.
I want python
, py_compile
, pylint
&c to completely ignore the experimental stuff at the end.
I am looking for something like #if 0
for cpp
.
How can this be done?
Here are some ideas and the reasons they are bad:
sys.exit(0)
: works for python
but not py_compile
and pylint
def test():
: I can no longer copy/paste the code into a python
REPL because it has non-trivial indent"""
: emacs no longer indents and fontifies the code properlyPS. My IDE is Emacs and my python interpreter is pyspark
.
Use ipython
rather than python
for your REPL It has better code completion and introspection and when you paste indented code it can automatically "de-indent" the pasted code.
Thus you can put your experimental code in a test function and then paste in parts without worrying and having to de-indent your code.
If you are pasting large blocks that can be considered individual blocks then you will need to use the %paste
or %cpaste
magics.
eg.
for i in range(3):
i *= 2
# with the following the blank line this is a complete block
print(i)
With a normal paste:
In [1]: for i in range(3):
...: i *= 2
...:
In [2]: print(i)
4
Using %paste
In [3]: %paste
for i in range(10):
i *= 2
print(i)
## -- End pasted text --
0
2
4
In [4]:
It is also possible to launch PySpark in IPython, the enhanced Python interpreter. PySpark works with IPython 1.0.0 and later. To use IPython, set the IPYTHON variable to 1 when running bin/pyspark:1
$ IPYTHON=1 ./bin/pyspark
Unfortunately, there is no widely (or any) standard describing what you are talking about, so getting a bunch of python specific things to work like this will be difficult.
However, you could wrap these commands in such a way that they only read until a signifier. For example (assuming you are on a unix system):
cat $file | sed '/exit(0)/q' |sed '/exit(0)/d'
The command will read until 'exit(0)' is found. You could pipe this into your checkers, or create a temp file that your checkers read. You could create wrapper executable files on your path that may work with your editors.
Windows may be able to use a similar technique.
I might advise a different approach. Separate files might be best. You might explore iPython notebooks as a possible solution, but I'm not sure exactly what your use case is.
Follow something like option 2.
I usually put experimental code in a main method.
def main ():
*experimental code goes here *
Then if you want to execute the experimental code just call the main.
main()
With python-mode.el mark arbitrary chunks as section - for example via py-sectionize-region
.
Than call py-execute-section
.
Updated after comment:
python-mode.el is delivered by melpa.
M-x list-packages RET
Look for python-mode - the built-in python.el provides 'python, while python-mode.el provides 'python-mode.
Developement just moved hereto: https://gitlab.com/python-mode-devs/python-mode
I think the standard ('Pythonic') way to deal with this is to do it like so:
class MyClass(object):
...
def my_function():
...
if __name__ == '__main__':
# testing code here
Edit after your comment
I don't think what you want is possible using a plain Python interpreter. You could have a look at the IEP Python editor (website, bitbucket): it supports something like Matlab's cell mode, where a cell can be defined with a double comment character (##
):
## main code
class MyClass(object):
...
def my_function():
...
## testing code
do_some_testing_please()
All code from a ##
-beginning line until either the next such line or end-of-file constitutes a single cell.
Whenever the cursor is within a particular cell and you strike some hotkey (default Ctrl+Enter), the code within that cell is executed in the currently running interpreter. An additional feature of IEP is that selected code can be executed with F9; a pretty standard feature but the nice thing here is that IEP will smartly deal with whitespace, so just selecting and pasting stuff from inside a method will automatically work.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With