autoreload and function decorator

I posted this on SO here: https://stackoverflow.com/q/49825052/5545005

I am not sure where I should have posted. Thinking here would have been better. Is there any advice on this issue?

Thanks.

My System: ‘commit_hash’: ‘ca5443062’, ‘commit_source’: ‘installation’, ‘default_encoding’: ‘utf-8’, ‘ipython_path’: ‘C:\Anaconda3\lib\site-packages\IPython’, ‘ipython_version’: ‘6.2.1’, ‘os_name’: ‘nt’, ‘platform’: ‘Windows-10-10.0.16299-SP0’, ‘sys_executable’: ‘C:\Anaconda3\python.exe’, ‘sys_platform’: ‘win32’, ‘sys_version’: '3.6.3 |Anaconda custom (64-bit)| (default, Oct 15 2017, ’ ‘03:27:45) [MSC v.1900 64 bit (AMD64)]’

I am fairly new to decorators but am experiencing unexpected behavior revolving around autoreload in an interactive workflow with decorated functions. Its best explained by example (note these are all cells in a jupyter notebook):

The decorator:

%%file testdec.py
def decorated(func):
    print("decorating")
    def wrapped(*args, **kwargs):
        return func(*args, **kwargs)
    return wrapped

Where the decorator is used:

%%file testmod.py
from testdec import decorated
@decorated
def thisfunc():
    print("old output")
def _thisfunc1():
    print("old output 1")
thisfunc1 = decorated(_thisfunc1)

I would use the following to call the decorated functions:

from testmod import *
thisfunc()
thisfunc1()

outputs:

decorating
decorating
old output
old output 1

Now updating testmod.py with:

%%file testmod.py
from testdec import decorated
@decorated
def thisfunc():
    print("new output")
def _thisfunc1():
    print("new output 1")
thisfunc1 = decorated(_thisfunc1)

and calling the functions again:

thisfunc()
thisfunc1()

gives the following, note the old output from the first method:

decorating
decorating
old output
new output 1

However, explicitly reimporting from this module:

from testmod import *
thisfunc()
thisfunc1()

results in:

new output
new output 1

Ideally the @decorated function (e.g. with the @ and not the second method) would autoreload transparently as the second method does. Is there something I can do to achieve this? What am I missing for decorated functions. For now we’re manually disabling decorators when editing interactively in order to have the benefits of autoreload.

Thanks.

[WestXu]

This bug is really annoying. None of the solutions mentioned so far in this post works, when it’s a decorated method rather than a decorated function. Perhaps I just rely too much on autoreload in my work flow. Hope this get’s fixed soon, or I am open to alternatives similar to this, by which I can use both jupyter and IDE at the same time.

[PietroPasotti]

Just stumbled on this issue too, took me quite some time to figure out what was going wrong where. Hoping on a fix as well…