real-time python scratchpad
npm install areplpython
from arepldump import dump
def milesToKilometers(miles):
kilometers = miles*1.60934
dump() # dumps all the vars in your function
# or dump when function is called for a second time
dump(None,1)
milesToKilometers(2*2)
milesToKilometers(3*3)
for char in ['a','b','c']:
dump(char,2) # dump a var at a specific iteration
a=1
dump(a) # dump specific vars at any point in your program
a=2
`
#$save
If you want to avoid a section of code being executed in real-time (due to it being slow or calling external resources) you can use \#\$save. For example:
`python
def largest_prime_factor(n):
i = 2
while i * i <= n:
if n % i:
i += 1
else:
n //= i
return n
this takes a looonnggg time to execute
result = largest_prime_factor(8008514751439999)
#$save
print("but now that i saved i am back to real-time execution")
`
`python
import random
x = random.random()
#$save
print(x) # this number will not change when editing below the #$save line
`
Please note that \#\$save does not work with certain types, like generators. If #$save fails in pickling the code state file an issue so I can look into it.
GUIS
You can use arepl for working with gui's like turtle or many others. Each time you edit the code the gui restarts, so to make it less annoying the typing debounce is automatically increased for a longer delay before execution. Or you can switch to execute on save. I also suggest coding it so the gui appears on the side (not blocking your view of your code), like so:
`python
import turtle
turtle.setup(width=500, height=500, startx=-1, starty=0)
turtle.forward(100)
turtle.left(90)
`
VENV
to use you arepl with VENV you can set the AREPL.pythonPath setting to reference the location of your venv python
Variable Representation
I have overridden the display of some types (like datetime) to be more readable to humans.
If you want a type to be displayed in a particular manner just file an issue
Imports
Python caches imports, so even though AREPL runs with every code change the import will run only once at the start. This saves time when importing large libraries like numpy.
But you can also use this feature as a caching mechanism by moving code you only want AREPL to execute once into a different file and importing it.
If you don't want caching you can delete the library at the end of the file, like so:
`python
import library
bla bla bla code
del sys.modules['library'] # arepl will reload import next execution
``