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vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
This package provides a decorator for hot-reloading python functions.
It allows to redefine the function in the source code and see the changes immediately without restarting the program.
Install with pip
$ python -m pip install hotfunc
The following example uses the REPL, but hotfunc
can be used in any python program.
Begin with importing the module and decorating the function that you want to hot-reload.
# myfile.py
from hotfunc import hotreload
name = "Mike"
@hotreload
def say():
print(f"Hello world! My name is {name}.")
Start python REPL, import the source file and call your function.
>>> from myfile import say
>>> say()
Hello world! My name is Mike.
Now, without stopping the interpreter, edit the source file changing the decorated function's body.
# myfile.py
from hotfunc import hotreload
name = "Mike"
@hotreload
def say():
print(f"Ciao mondo! Mi chiamo {name}.")
Switch back to REPL and call the function again.
>>> say()
Ciao mondo! Mi chiamo Mike.
As you can see, the function has been redefined, but its local environment (name
variable defined outside the function) was preserved.
When hot-reloading a function, its source file is read, definition found and the function itself redefined. Currenty it is done on every call, so is rather slow.
As of now, only top-level functions (defined at indentation level zero) are supported.
By default, exceptions raised when redefining or calling hot-reloaded functions are not re-raised. Instead, they are printed to stdout
and the result of last successful function call is returned. This behaviour can be changed by enabling reraise
flag:
@hotreload(reraise=True)
def myfunc():
# ...
Copyright (c) 2023 Michał Szajbe
Licensed under The MIT License.
FAQs
Make functions hot-reloadable with a decorator
We found that hotfunc demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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